首页 > 最新文献

Zhonghua wei zhong bing ji jiu yi xue最新文献

英文 中文
[Assessment and management of analgesic and sedation in critically ill patients from ICU in Guizhou Province]. [贵州省重症监护病房危重患者镇痛镇静的评估与管理]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20240723-00624
Ya Wei, Qianfu Zhang, Hongying Bi, Dehua He, Jianyu Fu, Yan Tang, Xu Liu
<p><strong>Objective: </strong>To investigate the current status of early pain and agitation management in critically ill patients in Guizhou Province.</p><p><strong>Methods: </strong>A retrospective study was performed using data collected from a quality control activity conducted between April and June 2021 in non-provincial public hospitals with general intensive care unit (ICU) in Guizhou Province. Hospital-level data included hospital name and grade, ICU staffing, and number of ICU beds. Patient-level data included characteristics of patients treated in the general ICU on the day of the survey (e.g., age, sex, primary diagnosis), as well as pain and agitation assessments and the types of analgesic and sedative medications administered within 24 hours of ICU admission.</p><p><strong>Results: </strong>A total of 947 critically ill ICU patients from 145 hospitals were included, among which 104 were secondary-level hospitals and 41 were tertiary-level hospitals. Within 24 hours of ICU admission, 312 (32.9%) critically ill patients received pain assessments, and 277 (29.3%) received agitation assessments. Among the pain assessment tools, the critical care pain observation tool (CPOT) was used in 44.2% (138/312) of critically ill ICU patients, with a significantly higher usage rate in tertiary hospitals compared to secondary hospitals [52.3% (69/132) vs. 38.3% (69/180), P < 0.05]. The Richmond agitation-sedation scale (RASS) was used in 93.8% (260/277) of critically ill ICU patients for agitation assessment, with no significant difference between hospital levels. Among the 947 critically ill patients, 592 (62.5%) received intravenous analgesics within 24 hours, with remifentanil being the most commonly used [42.9% (254/592)]; 510 (53.9%) received intravenous sedatives, with midazolam being the most frequently used [60.8% (310/510)]. Mechanical ventilation data were available for 932 critically ill patients, of whom 579 (62.1%) received mechanical ventilation and 353 (37.9%) did not. Compared with non-ventilated patients, ventilated patients had significantly higher rates of analgesic and sedative use [analgesics: 77.9% (451/579) vs. 38.8% (137/353); sedatives: 71.8% (416/579) vs. 25.8% (91/353); both P < 0.05]. In terms of analgesic selection, ventilated patients were more likely to receive strong opioids than non-ventilated patients [85.8% (95/137) vs. 69.3% (387/451), P < 0.05]. For sedatives, ventilated patients preferred midazolam [66.6% (277/416)], whereas non-ventilated patients more often received dexmedetomidine [45.1 (41/91)]. Blood pressure within 24 hours of ICU admission were available for 822 critically ill patients, of whom 245 (29.8%) had hypotension and 577 (70.2%) did not. Compared with non-hypotensive patients, hypotensive patients had significantly higher rates of analgesic and sedative use [analgesics: 74.7% (183/245) vs. 59.8% (345/577); sedatives: 65.7% (161/245) vs. 51.3% (296/577); both P < 0.05], but there was no significa
目的:了解贵州省危重病人早期疼痛躁动管理现状。方法:对贵州省非省级公立医院普通重症监护病房(ICU) 2021年4月至6月开展的质量控制活动收集的数据进行回顾性研究。医院层面的数据包括医院名称和等级、ICU人员配置和ICU床位数量。患者层面的数据包括调查当天在普通ICU接受治疗的患者的特征(例如,年龄、性别、初步诊断),以及疼痛和躁动评估以及在ICU入院24小时内使用的镇痛和镇静药物的类型。结果:共纳入145家医院重症监护病人947例,其中二级医院104例,三级医院41例。入院24小时内,312例(32.9%)危重患者接受了疼痛评估,277例(29.3%)接受了躁动评估。在疼痛评估工具中,重症监护疼痛观察工具(CPOT)使用率为44.2%(138/312),三级医院的使用率明显高于二级医院[52.3%(69/132)比38.3% (69/180),P < 0.05]。93.8% (260/277) ICU危重患者使用Richmond躁动镇静量表(RASS)进行躁动评估,各医院间差异无统计学意义。947例危重患者中,592例(62.5%)在24小时内静脉使用镇痛药,其中最常用的是瑞芬太尼[42.9% (254/592)];510例(53.9%)接受静脉镇静剂治疗,其中咪达唑仑是最常用的药物[60.8%(310/510)]。932例危重患者有机械通气资料,其中579例(62.1%)接受了机械通气,353例(37.9%)未接受机械通气。与非通气患者相比,通气患者使用镇痛药和镇静药的比例明显更高[镇痛药:77.9%(451/579)比38.8% (137/353);镇静剂:71.8% (416/579)vs. 25.8% (91/353);P < 0.05]。在镇痛药的选择上,通气患者比非通气患者更倾向于使用强阿片类药物[85.8%(95/137)比69.3% (387/451),P < 0.05]。对于镇静剂,通气患者首选咪达唑仑[66.6%(277/416)],而非通气患者更多地选择右美托咪定[45.1(41/91)]。822例危重患者入院24小时血压,其中245例(29.8%)有低血压,577例(70.2%)无低血压。与非低血压患者相比,低血压患者使用镇痛药和镇静剂的比例明显更高[镇痛药:74.7%(183/245)比59.8% (345/577);镇静剂:65.7% (161/245)vs. 51.3% (296/577);两组患者在镇痛、镇静药物的选择上差异无统计学意义(P < 0.05)。结论:贵州省ICU危重患者接受标准化疼痛躁动评估的比例较低。最常用的评估工具是CPOT和RASS,而最常用的镇痛药和镇静药分别是瑞芬太尼和咪达唑仑。与三级医院相比,二级医院使用标准化疼痛评估工具的比例较低。机械通气和低血压与镇痛和镇静药物的使用有关。
{"title":"[Assessment and management of analgesic and sedation in critically ill patients from ICU in Guizhou Province].","authors":"Ya Wei, Qianfu Zhang, Hongying Bi, Dehua He, Jianyu Fu, Yan Tang, Xu Liu","doi":"10.3760/cma.j.cn121430-20240723-00624","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240723-00624","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the current status of early pain and agitation management in critically ill patients in Guizhou Province.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective study was performed using data collected from a quality control activity conducted between April and June 2021 in non-provincial public hospitals with general intensive care unit (ICU) in Guizhou Province. Hospital-level data included hospital name and grade, ICU staffing, and number of ICU beds. Patient-level data included characteristics of patients treated in the general ICU on the day of the survey (e.g., age, sex, primary diagnosis), as well as pain and agitation assessments and the types of analgesic and sedative medications administered within 24 hours of ICU admission.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 947 critically ill ICU patients from 145 hospitals were included, among which 104 were secondary-level hospitals and 41 were tertiary-level hospitals. Within 24 hours of ICU admission, 312 (32.9%) critically ill patients received pain assessments, and 277 (29.3%) received agitation assessments. Among the pain assessment tools, the critical care pain observation tool (CPOT) was used in 44.2% (138/312) of critically ill ICU patients, with a significantly higher usage rate in tertiary hospitals compared to secondary hospitals [52.3% (69/132) vs. 38.3% (69/180), P &lt; 0.05]. The Richmond agitation-sedation scale (RASS) was used in 93.8% (260/277) of critically ill ICU patients for agitation assessment, with no significant difference between hospital levels. Among the 947 critically ill patients, 592 (62.5%) received intravenous analgesics within 24 hours, with remifentanil being the most commonly used [42.9% (254/592)]; 510 (53.9%) received intravenous sedatives, with midazolam being the most frequently used [60.8% (310/510)]. Mechanical ventilation data were available for 932 critically ill patients, of whom 579 (62.1%) received mechanical ventilation and 353 (37.9%) did not. Compared with non-ventilated patients, ventilated patients had significantly higher rates of analgesic and sedative use [analgesics: 77.9% (451/579) vs. 38.8% (137/353); sedatives: 71.8% (416/579) vs. 25.8% (91/353); both P &lt; 0.05]. In terms of analgesic selection, ventilated patients were more likely to receive strong opioids than non-ventilated patients [85.8% (95/137) vs. 69.3% (387/451), P &lt; 0.05]. For sedatives, ventilated patients preferred midazolam [66.6% (277/416)], whereas non-ventilated patients more often received dexmedetomidine [45.1 (41/91)]. Blood pressure within 24 hours of ICU admission were available for 822 critically ill patients, of whom 245 (29.8%) had hypotension and 577 (70.2%) did not. Compared with non-hypotensive patients, hypotensive patients had significantly higher rates of analgesic and sedative use [analgesics: 74.7% (183/245) vs. 59.8% (345/577); sedatives: 65.7% (161/245) vs. 51.3% (296/577); both P &lt; 0.05], but there was no significa","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"861-865"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145379025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[C-X-C motif chemokine ligand 12/C-X-C motif chemokine receptor 4 regulates oxygen glucose deprivation/reoxygenation-induced autophagy in SH-SY5Y neuronal cells]. [C-X-C基序趋化因子配体12/C-X-C基序趋化因子受体4调控SH-SY5Y神经元细胞氧葡萄糖剥夺/再氧诱导的自噬]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20241215-01029
Haining Meng, Chao Jia, Qingshu Li, Weifeng Xie, Sumei Wang, Yan Qu
<p><strong>Objective: </strong>To explore the effects and mechanisms of the C-X-C motif chemokine ligand 12/C-X-C motif chemokine receptor 4 (CXCL12/CXCR4) signaling axis on apoptosis and autophagy in SH-SY5Y neuronal cells subjected to oxygen-glucose deprivation/reperfusion (OGD/R) model in vitro.</p><p><strong>Methods: </strong>SH-SY5Y cells were divided into the following groups: OGD/R group and non-OGD/R group, with the OGD/R group subjected to OGD/R modeling and the non-OGD/R group receiving no treatment. Cells were also divided into CXCL12<sup>+</sup> and CXCL12<sup>-</sup> groups; the CXCL12<sup>+</sup> group received 0.1 mg/L exogenous recombinant CXCL12 (rhCXCL12) at reoxygenation, while the CXCL12<sup>-</sup> group did not. Another set of cells was divided into CXCL12+AMD3100 and CXCL12 groups; the CXCL12+AMD3100 group was pretreated with 2.5 mg/L AMD3100, a CXCR4 inhibitor, for 2 hours before OGD/R and received both 2.5 mg/L AMD3100 and 0.1 mg/L rhCXCL12 at reoxygenation, whereas the CXCL12 group received rhCXCL12 only. Additionally, cells were divided into small interfering RNA CXCR4 (siCXCR4) and small interfering RNA negative control (siNC) groups; the siCXCR4 group underwent CXCR4 knockdown before OGD/R modeling and received 0.1 mg/L rhCXCL12 at reoxygenation, while the siNC group, transfected with a negative control, received the same treatment. Protein expression of autophagy-related 16 (ATG16), microtubule-associated protein 1 light chain 3 (LC3), aquaporin-3 (AQP3), and CXCR4 was detected by Western blotting. Apoptosis rate and CXCR4 expression were measured by flow cytometry.</p><p><strong>Results: </strong>Compared with the non-OGD/R group, the OGD/R group showed a significantly increased apoptosis rate and markedly decreased protein expression levels of ATG16, LC3, AQP3, and CXCR4 (all P < 0.05). CXCR4 fluorescent expression was also significantly reduced, suggesting that OGD/R simultaneously affects neuronal apoptosis and autophagy while inhibiting CXCR4 and AQP3 expression in SH-SY5Y cells. Compared with the CXCL12<sup>-</sup> group, the CXCL12<sup>+</sup> group exhibited no significant change in apoptosis rate but demonstrated significantly increased protein expression of ATG16, LC3, and AQP3 (ATG16/GAPDH: 1.21±0.10 vs. 1.00±0.00; LC3/β-actin: 1.22±0.10 vs. 1.00±0.00; AQP3/β-actin: 1.26±0.04 vs. 1.00±0.00; all P < 0.05). CXCR4 expression was also significantly enhanced (fluorescence intensity: 1.19±0.05 vs. 1.00±0.00, P < 0.05), indicating that CXCL12 may promote autophagy in OGD/R-injured SH-SY5Y cells via the CXCR4/AQP3 pathway. Compared with the CXCL12 group, the CXCL12+AMD3100 group showed no significant difference in apoptosis rate but significantly lower protein levels of ATG16 and LC3 (ATG16/GAPDH: 0.75±0.08 vs. 1.00±0.00; LC3/GAPDH: 0.86±0.07 vs. 1.00±0.00; both P < 0.05), suggesting that CXCL12 induces autophagy in OGD/R SH-SY5Y cells through CXCR4. Compared with the siNC group, the siCXCR4 group showed no signif
目的:探讨C-X-C基序趋化因子配体12/C-X-C基序趋化因子受体4 (CXCL12/CXCR4)信号轴对体外氧糖剥夺/再灌注(OGD/R)模型SH-SY5Y神经元细胞凋亡和自噬的影响及其机制。方法:将SH-SY5Y细胞分为OGD/R组和非OGD/R组,OGD/R组进行OGD/R造模,非OGD/R组不进行处理。细胞也分为CXCL12+组和CXCL12-组;CXCL12+组在复氧时给予0.1 mg/L外源性重组CXCL12 (rhCXCL12), CXCL12-组不给予。另一组细胞分为CXCL12+AMD3100组和CXCL12组;CXCL12+AMD3100组在OGD/R前用2.5 mg/L CXCR4抑制剂AMD3100预处理2小时,再氧时同时给予2.5 mg/L AMD3100和0.1 mg/L rhCXCL12,而CXCL12组只给予rhCXCL12。将细胞分为小干扰RNA CXCR4 (siCXCR4)组和小干扰RNA阴性对照(siNC)组;siCXCR4组在OGD/R造模前进行CXCR4敲低,再氧化时给予0.1 mg/L rhCXCL12, siNC组转染阴性对照,给予相同处理。Western blotting检测自噬相关蛋白16 (ATG16)、微管相关蛋白1轻链3 (LC3)、水通道蛋白3 (AQP3)和CXCR4的蛋白表达。流式细胞术检测细胞凋亡率和CXCR4表达。结果:与非OGD/R组比较,OGD/R组细胞凋亡率显著升高,ATG16、LC3、AQP3、CXCR4蛋白表达水平显著降低(均P < 0.05)。CXCR4荧光表达也显著降低,提示OGD/R在抑制SH-SY5Y细胞CXCR4和AQP3表达的同时影响神经元凋亡和自噬。与CXCL12-组比较,CXCL12+组细胞凋亡率无明显变化,但ATG16、LC3、AQP3蛋白表达显著升高(ATG16/GAPDH: 1.21±0.10 vs. 1.00±0.00;LC3/β-actin: 1.22±0.10 vs. 1.00±0.00;AQP3/β-actin: 1.26±0.04 vs. 1.00±0.00,P均< 0.05)。CXCR4的表达也显著增强(荧光强度:1.19±0.05 vs. 1.00±0.00,P < 0.05),提示CXCL12可能通过CXCR4/AQP3通路促进OGD/ r损伤的SH-SY5Y细胞自噬。与CXCL12组比较,CXCL12+AMD3100组凋亡率差异无统计学意义,但ATG16和LC3蛋白水平显著降低(ATG16/GAPDH: 0.75±0.08 vs. 1.00±0.00;LC3/GAPDH: 0.86±0.07 vs. 1.00±0.00,P均< 0.05),提示CXCL12通过CXCR4诱导OGD/R SH-SY5Y细胞自噬。与siNC组相比,siCXCR4组细胞凋亡率无明显变化,但ATG16、LC3、AQP3、CXCR4蛋白表达明显降低(ATG16/GAPDH: 0.76±0.06 vs. 1.00±0.00;LC3/GAPDH: 0.79±0.11 vs. 1.00±0.00;AQP3/GAPDH: 0.81±0.05 vs. 1.00±0.00;CXCR4/GAPDH: 0.86±0.04 vs. 1.00±0.00,P均< 0.05),提示CXCR4敲除可能通过AQP3抑制OGD/ r诱导的SH-SY5Y细胞自噬。结论:CXCL12/CXCR4信号轴可通过AQP3调控OGD/ r诱导的SH-SY5Y细胞自噬而不影响细胞凋亡,提示该通路在脑缺血/再灌注损伤过程中参与神经元自噬。
{"title":"[C-X-C motif chemokine ligand 12/C-X-C motif chemokine receptor 4 regulates oxygen glucose deprivation/reoxygenation-induced autophagy in SH-SY5Y neuronal cells].","authors":"Haining Meng, Chao Jia, Qingshu Li, Weifeng Xie, Sumei Wang, Yan Qu","doi":"10.3760/cma.j.cn121430-20241215-01029","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20241215-01029","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To explore the effects and mechanisms of the C-X-C motif chemokine ligand 12/C-X-C motif chemokine receptor 4 (CXCL12/CXCR4) signaling axis on apoptosis and autophagy in SH-SY5Y neuronal cells subjected to oxygen-glucose deprivation/reperfusion (OGD/R) model in vitro.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;SH-SY5Y cells were divided into the following groups: OGD/R group and non-OGD/R group, with the OGD/R group subjected to OGD/R modeling and the non-OGD/R group receiving no treatment. Cells were also divided into CXCL12&lt;sup&gt;+&lt;/sup&gt; and CXCL12&lt;sup&gt;-&lt;/sup&gt; groups; the CXCL12&lt;sup&gt;+&lt;/sup&gt; group received 0.1 mg/L exogenous recombinant CXCL12 (rhCXCL12) at reoxygenation, while the CXCL12&lt;sup&gt;-&lt;/sup&gt; group did not. Another set of cells was divided into CXCL12+AMD3100 and CXCL12 groups; the CXCL12+AMD3100 group was pretreated with 2.5 mg/L AMD3100, a CXCR4 inhibitor, for 2 hours before OGD/R and received both 2.5 mg/L AMD3100 and 0.1 mg/L rhCXCL12 at reoxygenation, whereas the CXCL12 group received rhCXCL12 only. Additionally, cells were divided into small interfering RNA CXCR4 (siCXCR4) and small interfering RNA negative control (siNC) groups; the siCXCR4 group underwent CXCR4 knockdown before OGD/R modeling and received 0.1 mg/L rhCXCL12 at reoxygenation, while the siNC group, transfected with a negative control, received the same treatment. Protein expression of autophagy-related 16 (ATG16), microtubule-associated protein 1 light chain 3 (LC3), aquaporin-3 (AQP3), and CXCR4 was detected by Western blotting. Apoptosis rate and CXCR4 expression were measured by flow cytometry.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Compared with the non-OGD/R group, the OGD/R group showed a significantly increased apoptosis rate and markedly decreased protein expression levels of ATG16, LC3, AQP3, and CXCR4 (all P &lt; 0.05). CXCR4 fluorescent expression was also significantly reduced, suggesting that OGD/R simultaneously affects neuronal apoptosis and autophagy while inhibiting CXCR4 and AQP3 expression in SH-SY5Y cells. Compared with the CXCL12&lt;sup&gt;-&lt;/sup&gt; group, the CXCL12&lt;sup&gt;+&lt;/sup&gt; group exhibited no significant change in apoptosis rate but demonstrated significantly increased protein expression of ATG16, LC3, and AQP3 (ATG16/GAPDH: 1.21±0.10 vs. 1.00±0.00; LC3/β-actin: 1.22±0.10 vs. 1.00±0.00; AQP3/β-actin: 1.26±0.04 vs. 1.00±0.00; all P &lt; 0.05). CXCR4 expression was also significantly enhanced (fluorescence intensity: 1.19±0.05 vs. 1.00±0.00, P &lt; 0.05), indicating that CXCL12 may promote autophagy in OGD/R-injured SH-SY5Y cells via the CXCR4/AQP3 pathway. Compared with the CXCL12 group, the CXCL12+AMD3100 group showed no significant difference in apoptosis rate but significantly lower protein levels of ATG16 and LC3 (ATG16/GAPDH: 0.75±0.08 vs. 1.00±0.00; LC3/GAPDH: 0.86±0.07 vs. 1.00±0.00; both P &lt; 0.05), suggesting that CXCL12 induces autophagy in OGD/R SH-SY5Y cells through CXCR4. Compared with the siNC group, the siCXCR4 group showed no signif","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"848-855"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145379043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Research progress in clinical diagnosis and treatment of sepsis-associated encephalopathy]. [败血症相关性脑病临床诊断与治疗研究进展]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20250113-00047
Qi Wang, Hongwei Ma, You Wu, Jing Li, Xijing Zhang

Sepsis-associated encephalopathy (SAE) is a common complication of sepsis, referring to a diffuse brain dysfunction caused by sepsis in the absence of direct central nervous system (CNS) infection. SAE occurs in up to 70% of patients with sepsis. Globally, the annual incidence of sepsis ranges from 30.0 to 48.9 million cases, resulting in approximately 11 million deaths per year, which accounts for 20% of all global mortalities. SAE is identified as an independent risk factor contributing to the increased mortality rate among these patients. Early diagnosis of SAE and related cerebral protection interventions hold significant clinical importance. Currently, the main indicators of brain function for sepsis patients include Glasgow coma score (GCS), confusion assessment method for the intensive care unit (CAM-ICU), electroencephalogram (EEG), brain CT or magnetic resonance imaging (MRI) and other related imaging changes, which have the problems of low sensitivity, poor specificity, and non-objective evaluation of the results of the diagnosis of SAE. This article focuses on the latest progress in the pathogenesis of SAE and systematically reviews potential biomarkers related to the onset of SAE from multiple aspects, including inflammatory markers, endothelial and neuronal injury markers, and metabolic markers. This will provide new insights for the clinical diagnosis and treatment of SAE.

脓毒症相关脑病(SAE)是脓毒症的常见并发症,是指在没有直接中枢神经系统(CNS)感染的情况下由脓毒症引起的弥漫性脑功能障碍。脓毒症患者中SAE发生率高达70%。在全球范围内,败血症的年发病率在3000万至4890万例之间,每年导致约1100万例死亡,占全球总死亡人数的20%。SAE被认为是导致这些患者死亡率增加的独立危险因素。SAE的早期诊断和相关的脑保护干预具有重要的临床意义。目前,脓毒症患者脑功能的主要指标有格拉斯哥昏迷评分(GCS)、重症监护病房(CAM-ICU)混淆评估法、脑电图(EEG)、脑CT或磁共振成像(MRI)等相关影像学改变,存在敏感性低、特异性差、对SAE诊断结果评价不客观等问题。本文重点介绍SAE发病机制的最新进展,并从炎症标志物、内皮和神经元损伤标志物、代谢标志物等多个方面系统综述SAE发病相关的潜在生物标志物。这将为SAE的临床诊断和治疗提供新的见解。
{"title":"[Research progress in clinical diagnosis and treatment of sepsis-associated encephalopathy].","authors":"Qi Wang, Hongwei Ma, You Wu, Jing Li, Xijing Zhang","doi":"10.3760/cma.j.cn121430-20250113-00047","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20250113-00047","url":null,"abstract":"<p><p>Sepsis-associated encephalopathy (SAE) is a common complication of sepsis, referring to a diffuse brain dysfunction caused by sepsis in the absence of direct central nervous system (CNS) infection. SAE occurs in up to 70% of patients with sepsis. Globally, the annual incidence of sepsis ranges from 30.0 to 48.9 million cases, resulting in approximately 11 million deaths per year, which accounts for 20% of all global mortalities. SAE is identified as an independent risk factor contributing to the increased mortality rate among these patients. Early diagnosis of SAE and related cerebral protection interventions hold significant clinical importance. Currently, the main indicators of brain function for sepsis patients include Glasgow coma score (GCS), confusion assessment method for the intensive care unit (CAM-ICU), electroencephalogram (EEG), brain CT or magnetic resonance imaging (MRI) and other related imaging changes, which have the problems of low sensitivity, poor specificity, and non-objective evaluation of the results of the diagnosis of SAE. This article focuses on the latest progress in the pathogenesis of SAE and systematically reviews potential biomarkers related to the onset of SAE from multiple aspects, including inflammatory markers, endothelial and neuronal injury markers, and metabolic markers. This will provide new insights for the clinical diagnosis and treatment of SAE.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"878-884"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145378848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Association between blood pressure response index and short-term prognosis of sepsis-associated acute kidney injury in adults]. [成人脓毒症相关急性肾损伤血压反应指数与短期预后的关系]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20250126-00091
Jinfeng Yang, Jia Yuan, Chuan Xiao, Xijing Zhang, Jiaoyangzi Liu, Qimin Chen, Fengming Wang, Peijing Zhang, Fei Liu, Feng Shen
<p><strong>Objective: </strong>To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI).</p><p><strong>Methods: </strong>A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI.</p><p><strong>Results: </strong>A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO<sub>2</sub>), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values
目的:探讨脓毒症相关急性肾损伤(SA-AKI)患者血压反应性指数(BPRI)与院内死亡风险的关系。方法:采用回顾性队列研究,收集美国重症监护医学信息市场- iv (MIMIC-IV)数据库中2008年至2019年期间入住重症监护病房(ICU)并临床诊断为SA-AKI的患者的数据。收集的数据包括SA-AKI诊断后48小时内的人口学特征、合并症、生命体征、实验室参数、顺序器官衰竭评估(SOFA)和简化急性生理评分(SAPSII)、AKI分期、治疗方案、第一和第二个24小时内的平均BPRI (BPRI_0_24、BPRI_24_48),以及包括主要结局(住院死亡率)和次要结局(ICU住院时间和总住院时间)在内的结局指标。将单因素分析中有统计学意义的变量纳入LASSO回归分析进行变量选择,随后将选择的变量纳入多因素Logistic回归分析,确定与SA-AKI患者住院死亡率相关的独立预测因素。采用限制性三次样条(RCS)分析来检验SA-AKI患者48小时内BPRI与住院死亡率之间是否存在线性关系。通过多变量Logistic回归分析确定独立预测因子,构建基本预测模型,绘制受试者算子特征曲线(receiver operator characteristic curve, ROC),评价纳入BPRI前后各基本预测模型的预测性能。结果:共纳入ICU收治的SA-AKI患者3 517例,其中住院期间死亡826例,存活2 691例。SA-AKI诊断后48小时内,死亡组BPRI值明显低于生存组[bpri_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43);BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), P均< 0.05。LASSO回归分析确定了20个非零系数变量,纳入多变量Logistic回归分析。结果显示,呼吸频率、体温、脉搏血氧饱和度(SpO2)、白细胞计数(WBC)、红细胞压积(HCT)、活化部分凝血活素时间(APTT)、乳酸、氧合指数、SOFA评分、体液平衡(FB)、BPRI_0_24、BPRI_24_48均是SA-AKI患者院内死亡率的独立预测因子(均P < 0.05)。RCS分析显示,两种BPRI与SA-AKI患者住院死亡风险呈“L”型非线性关系。当BPRI_0_24≤14.47或BPRI_24_48≤24.21时,SA-AKI住院死亡风险随BPRI值的降低而增加。基于确定的独立预测因子构建了3种基本预测模型:模型1(生理指标模型)包括呼吸速率、体温、SpO2和氧合指数;模型2(实验室指标模型)包括白细胞、HCT、APTT和乳酸;模型3(评分指标模型)包括SOFA评分和FB。ROC曲线分析显示,基本模型的预测性能从高到低依次为:模型3、模型2、模型1,曲线下面积(AUC)值分别为0.755、0.661、0.655。引入BPRI指标后,各模型的判别能力显著提高(均P < 0.05),模型3+BPRI的AUC值增加到0.832,模型2+BPRI的AUC值增加到0.805,模型1+BPRI的AUC值增加到0.808。结论:BPRI是SA-AKI患者住院死亡率的独立预测因素。将BPRI纳入SA-AKI住院死亡风险预测模型,可显著提高其预测能力。
{"title":"[Association between blood pressure response index and short-term prognosis of sepsis-associated acute kidney injury in adults].","authors":"Jinfeng Yang, Jia Yuan, Chuan Xiao, Xijing Zhang, Jiaoyangzi Liu, Qimin Chen, Fengming Wang, Peijing Zhang, Fei Liu, Feng Shen","doi":"10.3760/cma.j.cn121430-20250126-00091","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20250126-00091","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P &lt; 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO&lt;sub&gt;2&lt;/sub&gt;), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P &lt; 0.05). RCS analysis revealed that both BPRI showed \"L\"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"835-842"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145379013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Gut microbiota: new perspective on the treatment of acute pancreatitis and clinical application prospects]. 肠道菌群:治疗急性胰腺炎的新视角及临床应用前景
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20240903-00744
Qun Lang, Yujie Zeng, Hua Yao, Ninan Dai, Xiaoyun Fu, Bao Fu

Acute pancreatitis (AP) is a severe inflammatory disease characterized by self-digestion of pancreatic tissue and inflammatory responses. Recent studies have revealed a close connection between gut microbiota and AP. The gut microbiota community, a complex ecosystem composed of trillions of microorganisms, is closely associated with various physiological activities of the host, including metabolic processes, immune system regulation, and intestinal structure maintenance. However, in patients with AP, dysbiosis of the gut microbiota are believed to play a key role in the occurrence and progression of the disease. This dysbiosis not only impairs the integrity of the intestinal barrier, but may also exacerbate inflammatory responses through multiple mechanisms, thereby affecting the severity of the disease and patient' clinical prognosis. This article reviews the mechanisms of action of gut microbiota in AP, explores how gut microbiota dysbiosis affects disease progression, and evaluates current clinical treatment methods to regulate intestinal flora, including probiotic supplementation, fecal microbiota transplantation, antibiotic therapy, and early enteral nutrition. In addition, this article discusses the efficacy and safety of the aforementioned therapeutic approaches, and outlines future research directions, aiming to provide novel perspectives and strategies for the diagnosis, treatment and prognostic evaluation of AP. Through in-depth understanding the interaction between gut microbiota and AP, it is expected that more precise and personalized therapeutic regimens will be developed to improve patients' quality of life and clinical outcomes.

急性胰腺炎(AP)是一种以胰腺组织自我消化和炎症反应为特征的严重炎症性疾病。近年来的研究揭示了肠道微生物群与AP之间的密切联系。肠道微生物群是一个由数万亿微生物组成的复杂生态系统,与宿主的各种生理活动密切相关,包括代谢过程、免疫系统调节和肠道结构维持。然而,在AP患者中,肠道菌群失调被认为在疾病的发生和进展中起着关键作用。这种生态失调不仅损害了肠道屏障的完整性,还可能通过多种机制加剧炎症反应,从而影响疾病的严重程度和患者的临床预后。本文综述了肠道菌群在AP中的作用机制,探讨了肠道菌群失调如何影响疾病进展,并评估了目前的临床治疗方法来调节肠道菌群,包括益生菌补充、粪便菌群移植、抗生素治疗和早期肠内营养。此外,本文还讨论了上述治疗方法的有效性和安全性,并概述了未来的研究方向,旨在为AP的诊断、治疗和预后评估提供新的视角和策略。通过深入了解肠道微生物群与AP的相互作用,有望开发出更精确和个性化的治疗方案,以改善患者的生活质量和临床结果。
{"title":"[Gut microbiota: new perspective on the treatment of acute pancreatitis and clinical application prospects].","authors":"Qun Lang, Yujie Zeng, Hua Yao, Ninan Dai, Xiaoyun Fu, Bao Fu","doi":"10.3760/cma.j.cn121430-20240903-00744","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240903-00744","url":null,"abstract":"<p><p>Acute pancreatitis (AP) is a severe inflammatory disease characterized by self-digestion of pancreatic tissue and inflammatory responses. Recent studies have revealed a close connection between gut microbiota and AP. The gut microbiota community, a complex ecosystem composed of trillions of microorganisms, is closely associated with various physiological activities of the host, including metabolic processes, immune system regulation, and intestinal structure maintenance. However, in patients with AP, dysbiosis of the gut microbiota are believed to play a key role in the occurrence and progression of the disease. This dysbiosis not only impairs the integrity of the intestinal barrier, but may also exacerbate inflammatory responses through multiple mechanisms, thereby affecting the severity of the disease and patient' clinical prognosis. This article reviews the mechanisms of action of gut microbiota in AP, explores how gut microbiota dysbiosis affects disease progression, and evaluates current clinical treatment methods to regulate intestinal flora, including probiotic supplementation, fecal microbiota transplantation, antibiotic therapy, and early enteral nutrition. In addition, this article discusses the efficacy and safety of the aforementioned therapeutic approaches, and outlines future research directions, aiming to provide novel perspectives and strategies for the diagnosis, treatment and prognostic evaluation of AP. Through in-depth understanding the interaction between gut microbiota and AP, it is expected that more precise and personalized therapeutic regimens will be developed to improve patients' quality of life and clinical outcomes.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"797-801"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145378839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Development and validation of a prediction model for bloodstream infection caused by carbapenem-resistant Klebsiella pneumoniae]. [碳青霉烯耐药肺炎克雷伯菌血流感染预测模型的开发和验证]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20241014-00840
Shanshan Jin, Fangqing Zhou, Dongpo Wei, Jingjing Zheng, Changxing Chen, Ruilan Wang

Objective: To develop and validate a predictive model for the risk of bloodstream infection (BSI) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP).

Methods: A literature search was conducted in PubMed, Cochrane Library, and Embase databases from inception to July 2022 to identify studies reporting statistically significant risk factors for CRKP-BSI. Relative risks (RR) were extracted and pooled. Based on factor weights, a risk-scoring model was established. For external validation, hospitalized CRKP-infected patients from January 2016 to January 2022 at Shanghai First People's Hospital were included. Clinical data were used to calculate individual risk scores. The predictive accuracy was assessed using receiver operator characteristic curve (ROC curve). Patients were stratified into low-to-intermediate-risk and high-risk groups based on the optimal cut-off, and CRKP BSI incidence was compared between groups.

Results: The literatures related to the risk factors of CRKP-BSI published from database inception to July 2022 was retrieved and screened from PubMed, Cochrane Library, and Embase. Fourteen risk factors were included in the scoring model: cardiovascular disease, severe neutropenia or immunosuppression, intensive care unit (ICU) stay history, prior hospitalization, carbapenem exposure, aminoglycoside exposure, antifungal exposure, endotracheal intubation or tracheostomy, mechanical ventilation, hemodialysis, central venous catheter, indwelling urinary catheter, CRKP colonization, and Klebsiella pneumoniae positivity at non infection sites. The total score ranged from 0 to 173.5 points. In the validation cohort of 230 CRKP-infected patients, 41 developed CRKP BSI. The model yielded an area under the curve (AUC) of 0.783 (95%CI was 0.689-0.876). The optimal cut off was 81.25 points, with sensitivity of 75.6% and specificity of 81.0%. Based on this cut off, 163 patients were categorized as low-to-intermediate risk and 67 patients as high risk. The incidence of CRKP BSI in the high-risk group was significantly higher than in the low-to-intermediate-risk group [64.2% (43/67) vs. 4.9% (8/163); RR = 13.175 (95%CI was 5.920-29.319), P < 0.001].

Conclusions: The model, based on 14 routinely available clinical parameters, demonstrated good performance in predicting CRKP BSI risk and may assist clinicians in early identification of high risk patients.

目的:建立并验证耐碳青霉烯肺炎克雷伯菌(CRKP)血流感染(BSI)风险的预测模型。方法:在PubMed、Cochrane Library和Embase数据库中检索从建立到2022年7月的文献,以确定报告CRKP-BSI具有统计学意义的危险因素的研究。提取并汇总相对风险(RR)。基于因子权重,建立了风险评分模型。为进行外部验证,纳入2016年1月至2022年1月在上海市第一人民医院住院的crkp感染患者。临床数据用于计算个体风险评分。采用受试者特征曲线(receiver operator characteristic curve, ROC)评估预测准确度。根据最佳临界值将患者分为低-中危组和高危组,比较各组间CRKP BSI发生率。结果:检索并筛选PubMed、Cochrane Library和Embase数据库中自建库至2022年7月发表的与CRKP-BSI危险因素相关的文献。评分模型包括14个危险因素:心血管疾病、严重中性粒细胞减少或免疫抑制、重症监护病房(ICU)住院史、既往住院、碳青霉烯类暴露、氨基糖苷暴露、抗真菌暴露、气管插管或气管切开术、机械通气、血液透析、中心静脉导管、留置尿管、CRKP定植、非感染部位肺炎克雷伯菌阳性。总分在0到173.5分之间。在230例CRKP感染患者的验证队列中,41例发生CRKP BSI。该模型的曲线下面积(AUC)为0.783 (95%CI为0.689-0.876)。最佳截断点为81.25点,灵敏度为75.6%,特异性为81.0%。基于这个临界值,163名患者被归类为低至中等风险,67名患者被归类为高风险。高危组CRKP BSI发生率显著高于低中危组[64.2% (43/67)vs. 4.9% (8/163);RR = 13.175 (95%CI为5.920 ~ 29.319),P < 0.001]。结论:该模型基于14个常规临床参数,在预测CRKP BSI风险方面表现良好,可以帮助临床医生早期识别高风险患者。
{"title":"[Development and validation of a prediction model for bloodstream infection caused by carbapenem-resistant Klebsiella pneumoniae].","authors":"Shanshan Jin, Fangqing Zhou, Dongpo Wei, Jingjing Zheng, Changxing Chen, Ruilan Wang","doi":"10.3760/cma.j.cn121430-20241014-00840","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20241014-00840","url":null,"abstract":"<p><strong>Objective: </strong>To develop and validate a predictive model for the risk of bloodstream infection (BSI) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP).</p><p><strong>Methods: </strong>A literature search was conducted in PubMed, Cochrane Library, and Embase databases from inception to July 2022 to identify studies reporting statistically significant risk factors for CRKP-BSI. Relative risks (RR) were extracted and pooled. Based on factor weights, a risk-scoring model was established. For external validation, hospitalized CRKP-infected patients from January 2016 to January 2022 at Shanghai First People's Hospital were included. Clinical data were used to calculate individual risk scores. The predictive accuracy was assessed using receiver operator characteristic curve (ROC curve). Patients were stratified into low-to-intermediate-risk and high-risk groups based on the optimal cut-off, and CRKP BSI incidence was compared between groups.</p><p><strong>Results: </strong>The literatures related to the risk factors of CRKP-BSI published from database inception to July 2022 was retrieved and screened from PubMed, Cochrane Library, and Embase. Fourteen risk factors were included in the scoring model: cardiovascular disease, severe neutropenia or immunosuppression, intensive care unit (ICU) stay history, prior hospitalization, carbapenem exposure, aminoglycoside exposure, antifungal exposure, endotracheal intubation or tracheostomy, mechanical ventilation, hemodialysis, central venous catheter, indwelling urinary catheter, CRKP colonization, and Klebsiella pneumoniae positivity at non infection sites. The total score ranged from 0 to 173.5 points. In the validation cohort of 230 CRKP-infected patients, 41 developed CRKP BSI. The model yielded an area under the curve (AUC) of 0.783 (95%CI was 0.689-0.876). The optimal cut off was 81.25 points, with sensitivity of 75.6% and specificity of 81.0%. Based on this cut off, 163 patients were categorized as low-to-intermediate risk and 67 patients as high risk. The incidence of CRKP BSI in the high-risk group was significantly higher than in the low-to-intermediate-risk group [64.2% (43/67) vs. 4.9% (8/163); RR = 13.175 (95%CI was 5.920-29.319), P < 0.001].</p><p><strong>Conclusions: </strong>The model, based on 14 routinely available clinical parameters, demonstrated good performance in predicting CRKP BSI risk and may assist clinicians in early identification of high risk patients.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"822-828"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145379022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Skin microbiota and risk of sepsis in intensive care unit: a Mendelian randomization on sepsis onset and 28-day mortality]. [重症监护病房的皮肤微生物群和脓毒症风险:脓毒症发病和28天死亡率的孟德尔随机化]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20241023-00873
Zhuozheng Liang, Cheng Guo, Weiguang Guo, Chang Li, Linlin Pan, Xinhua Qiang, Lixin Zhou
<p><strong>Objective: </strong>To investigate the potential mechanisms of sepsis pathogenesis in intensive care unit (ICU), with a specific focus on the role of skin microbiota, and to evaluate the causal relationships between skin microbiota and ICU sepsis using Mendelian randomization (MR).</p><p><strong>Methods: </strong>A two-sample MR analysis was performed using skin microbiota genome-wide association study (GWAS) summary data from German population cohorts as exposures, combined with ICU sepsis susceptibility and 28-day mortality GWAS summary data from the IEU OpenGWAS database as outcomes. The primary causal effect estimates were generated using the inverse variance weighted (IVW) method, supplemented by validation through MR-Egger and weighted median approaches. Heterogeneity and pleiotropy tests, along with sensitivity analyses, were conducted to evaluate the robustness of the results.</p><p><strong>Results: </strong>Regarding risk of ICU sepsis, IVW analysis showed that order Pseudomonadales [odds ratio (OR) = 0.93, 95% confidence interval (95%CI) was 0.88-0.98], family Flavobacteriaceae (OR = 0.93, 95%CI was 0.90-0.96), and genus Acinetobacter (OR = 0.96, 95%CI was 0.93-0.99) were significantly negatively correlated with the risk of ICU sepsis (all P < 0.05). There was a significant positive correlation between the risk of ICU sepsis and the presence of β-Proteobacteria (OR = 1.05, 95%CI was 1.00-1.11) and Actinobacteria (OR = 1.05, 95%CI was 1.00-1.11), both P < 0.05. Regarding 28-day mortality of ICU sepsis, IVW analysis showed that phylum Bacteroidetes (OR = 0.92, 95%CI was 0.86-0.99), family Streptococcaceae (OR = 0.92, 95%CI was 0.85-0.98), family Flavobacteriaceae (OR = 0.90, 95%CI was 0.83-0.97), genus Streptococcus (OR = 0.92, 95%CI was 0.86-0.99), ASV016 [Enhydrobacter] (OR = 0.92, 95%CI was 0.87-0.98), and ASV042 [Acinetobacter] (OR = 0.92, 95%CI was 0.88-0.97) were significantly negatively correlated with the 28-day mortality of ICU sepsis (all P < 0.05); family Moraxellaceae (OR = 1.09, 95%CI was 1.00-1.18) and ASV008 [Staphylococcus] (OR = 1.08, 95%CI was 1.03-1.14) was significantly positively correlated with the 28-day mortality of ICU sepsis (both P < 0.05). Sensitivity analysis and MR-PRESSO showed no heterogeneity, pleiotropy, or horizontal pleiotropy between skin microbiota and ICU sepsis risk and 28-day mortality rate. Analysis of confounding factors showed that single nucleotide polymorphisms (SNPs) associated with relevant skin bacteria could independently and causally affect the risk of ICU sepsis or ICU sepsis related mortality rate, independent of other confounding factors. The Steiger test results indicated that the established causal relationship was not due to reverse causality.</p><p><strong>Conclusions: </strong>Skin microbiota composition may influence both sepsis susceptibility and 28-day mortality in ICU settings. Family Flavobacteriaceae demonstrated protective effects against sepsis onset and mortali
目的:探讨重症监护病房(ICU)脓毒症发病的潜在机制,重点探讨皮肤微生物群在ICU脓毒症发病中的作用,并采用孟德尔随机化(Mendelian randomization, MR)方法评价皮肤微生物群与ICU脓毒症的因果关系。方法:使用来自德国人群队列的皮肤微生物群全基因组关联研究(GWAS)汇总数据作为暴露,结合来自IEU OpenGWAS数据库的ICU脓毒症易感性和28天死亡率GWAS汇总数据作为结果,进行两样本MR分析。主要因果效应估计值采用逆方差加权(IVW)法,并辅以MR-Egger法和加权中位数法的验证。异质性和多效性检验以及敏感性分析被用来评价结果的稳健性。结果:ICU脓毒症发生风险方面,IVW分析显示,假单胞菌目[比值比(OR) = 0.93, 95%可信区间(95% ci)为0.88 ~ 0.98]、黄杆菌科(OR = 0.93, 95% ci为0.90 ~ 0.96)、不动杆菌属(OR = 0.96, 95% ci为0.93 ~ 0.99)与ICU脓毒症发生风险呈显著负相关(均P < 0.05)。ICU脓毒症发生风险与β-变形菌(OR = 1.05, 95%CI为1.00 ~ 1.11)和放线菌(OR = 1.05, 95%CI为1.00 ~ 1.11)的存在呈显著正相关,P均< 0.05。ICU败血症28天死亡率:IVW分析显示拟杆菌门(OR = 0.92, 95%CI为0.86 ~ 0.99)、链球菌科(OR = 0.92, 95%CI为0.85 ~ 0.98)、黄杆菌科(OR = 0.90, 95%CI为0.83 ~ 0.97)、链球菌属(OR = 0.92, 95%CI为0.86 ~ 0.99)、ASV016 [Enhydrobacter] (OR = 0.92, 95%CI为0.87 ~ 0.98)、ASV042 [Acinetobacter] (OR = 0.92, 95%CI为0.87 ~ 0.98)、ASV042 [Acinetobacter] (OR = 0.92, 95%CI为0.87 ~ 0.98)。95%CI为0.88 ~ 0.97)与ICU脓毒症28天死亡率呈显著负相关(均P < 0.05);Moraxellaceae科(OR = 1.09, 95%CI为1.00 ~ 1.18)和ASV008[葡萄球菌](OR = 1.08, 95%CI为1.03 ~ 1.14)与ICU脓毒症28天死亡率显著正相关(P均< 0.05)。敏感性分析和MR-PRESSO显示,皮肤微生物群与ICU败血症风险和28天死亡率之间没有异质性、多效性或水平多效性。混杂因素分析显示,与相关皮肤细菌相关的单核苷酸多态性(snp)可以独立地、因果地影响ICU脓毒症的风险或ICU脓毒症相关死亡率,独立于其他混杂因素。Steiger检验结果表明,建立的因果关系不是由于反向因果关系。结论:皮肤微生物群组成可能影响ICU环境下脓毒症的易感性和28天死亡率。黄杆菌科证明了对脓毒症发病和死亡的保护作用。这些发现为早期发现和管理策略提供了新的视角。
{"title":"[Skin microbiota and risk of sepsis in intensive care unit: a Mendelian randomization on sepsis onset and 28-day mortality].","authors":"Zhuozheng Liang, Cheng Guo, Weiguang Guo, Chang Li, Linlin Pan, Xinhua Qiang, Lixin Zhou","doi":"10.3760/cma.j.cn121430-20241023-00873","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20241023-00873","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the potential mechanisms of sepsis pathogenesis in intensive care unit (ICU), with a specific focus on the role of skin microbiota, and to evaluate the causal relationships between skin microbiota and ICU sepsis using Mendelian randomization (MR).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A two-sample MR analysis was performed using skin microbiota genome-wide association study (GWAS) summary data from German population cohorts as exposures, combined with ICU sepsis susceptibility and 28-day mortality GWAS summary data from the IEU OpenGWAS database as outcomes. The primary causal effect estimates were generated using the inverse variance weighted (IVW) method, supplemented by validation through MR-Egger and weighted median approaches. Heterogeneity and pleiotropy tests, along with sensitivity analyses, were conducted to evaluate the robustness of the results.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Regarding risk of ICU sepsis, IVW analysis showed that order Pseudomonadales [odds ratio (OR) = 0.93, 95% confidence interval (95%CI) was 0.88-0.98], family Flavobacteriaceae (OR = 0.93, 95%CI was 0.90-0.96), and genus Acinetobacter (OR = 0.96, 95%CI was 0.93-0.99) were significantly negatively correlated with the risk of ICU sepsis (all P &lt; 0.05). There was a significant positive correlation between the risk of ICU sepsis and the presence of β-Proteobacteria (OR = 1.05, 95%CI was 1.00-1.11) and Actinobacteria (OR = 1.05, 95%CI was 1.00-1.11), both P &lt; 0.05. Regarding 28-day mortality of ICU sepsis, IVW analysis showed that phylum Bacteroidetes (OR = 0.92, 95%CI was 0.86-0.99), family Streptococcaceae (OR = 0.92, 95%CI was 0.85-0.98), family Flavobacteriaceae (OR = 0.90, 95%CI was 0.83-0.97), genus Streptococcus (OR = 0.92, 95%CI was 0.86-0.99), ASV016 [Enhydrobacter] (OR = 0.92, 95%CI was 0.87-0.98), and ASV042 [Acinetobacter] (OR = 0.92, 95%CI was 0.88-0.97) were significantly negatively correlated with the 28-day mortality of ICU sepsis (all P &lt; 0.05); family Moraxellaceae (OR = 1.09, 95%CI was 1.00-1.18) and ASV008 [Staphylococcus] (OR = 1.08, 95%CI was 1.03-1.14) was significantly positively correlated with the 28-day mortality of ICU sepsis (both P &lt; 0.05). Sensitivity analysis and MR-PRESSO showed no heterogeneity, pleiotropy, or horizontal pleiotropy between skin microbiota and ICU sepsis risk and 28-day mortality rate. Analysis of confounding factors showed that single nucleotide polymorphisms (SNPs) associated with relevant skin bacteria could independently and causally affect the risk of ICU sepsis or ICU sepsis related mortality rate, independent of other confounding factors. The Steiger test results indicated that the established causal relationship was not due to reverse causality.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Skin microbiota composition may influence both sepsis susceptibility and 28-day mortality in ICU settings. Family Flavobacteriaceae demonstrated protective effects against sepsis onset and mortali","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"809-816"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145378824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Design and application of an insulation device for extracorporeal membrane oxygenation transfer pipeline]. 一种体外膜氧合输送管道保温装置的设计与应用
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20250115-00057
Wenchun Wang, Xiaoqing Li, Shuyuan Qian, Lu Ma, Meng Deng, Yun Yu

Extracorporeal membrane oxygenation (ECMO) is a key continuous extracorporeal life support technology that can partially or completely replace a patient's cardiopulmonary function, thereby winning valuable time for the diagnosis and treatment of the primary disease. With the widespread application of ECMO, the need for transport has increased. However, during transfers, the standard heater unit is often large and inconvenient to carry, while alternative warming measures tend to be ineffective. This frequently leads to complications such as hypothermia or the inability to maintain body temperature, which can seriously affect the patient's prognosis. In response to this challenge, the medical and nursing staff of the critical care medicine department at Zhongda Hospital Affiliated to Southeast University jointly designed an insulation device for ECMO transport pipelines. The device was successfully granted a National Utility Model Patent of China (patent number: ZL 2021 2 0653569.3). It primarily consists of key components such as a heating pad, velcro straps, a cover layer, a backing layer, an electric heating layer, and a wiring plug. Its advantages include portability, the ability to effectively wrap around and warm the ECMO circuit during transit, and a reduction in the incidence of hypothermia-related complications. Furthermore, its transparent material design allows for real-time monitoring of the ECMO system's status, making it both economical and practical.

体外膜氧合(Extracorporeal membrane oxygenation, ECMO)是一项关键的持续体外生命支持技术,可以部分或完全替代患者的心肺功能,为原发疾病的诊断和治疗赢得宝贵的时间。随着ECMO的广泛应用,对运输的需求也随之增加。然而,在传输过程中,标准加热器往往很大,不方便携带,而替代的供暖措施往往是无效的。这经常导致并发症,如体温过低或无法维持体温,这可能严重影响患者的预后。针对这一挑战,东南大学附属中大医院重症医学部医护人员联合设计了ECMO输送管道保温装置。该装置成功获得中国国家实用新型专利(专利号:ZL 2021 20653569.3)。主要由加热垫、魔术贴带、覆盖层、背衬层、电加热层、接线插头等关键部件组成。它的优点包括便携性,能够在运输过程中有效地包裹和加热ECMO回路,并减少低温相关并发症的发生率。此外,其透明的材料设计允许实时监测ECMO系统的状态,使其既经济又实用。
{"title":"[Design and application of an insulation device for extracorporeal membrane oxygenation transfer pipeline].","authors":"Wenchun Wang, Xiaoqing Li, Shuyuan Qian, Lu Ma, Meng Deng, Yun Yu","doi":"10.3760/cma.j.cn121430-20250115-00057","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20250115-00057","url":null,"abstract":"<p><p>Extracorporeal membrane oxygenation (ECMO) is a key continuous extracorporeal life support technology that can partially or completely replace a patient's cardiopulmonary function, thereby winning valuable time for the diagnosis and treatment of the primary disease. With the widespread application of ECMO, the need for transport has increased. However, during transfers, the standard heater unit is often large and inconvenient to carry, while alternative warming measures tend to be ineffective. This frequently leads to complications such as hypothermia or the inability to maintain body temperature, which can seriously affect the patient's prognosis. In response to this challenge, the medical and nursing staff of the critical care medicine department at Zhongda Hospital Affiliated to Southeast University jointly designed an insulation device for ECMO transport pipelines. The device was successfully granted a National Utility Model Patent of China (patent number: ZL 2021 2 0653569.3). It primarily consists of key components such as a heating pad, velcro straps, a cover layer, a backing layer, an electric heating layer, and a wiring plug. Its advantages include portability, the ability to effectively wrap around and warm the ECMO circuit during transit, and a reduction in the incidence of hypothermia-related complications. Furthermore, its transparent material design allows for real-time monitoring of the ECMO system's status, making it both economical and practical.</p>","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"875-877"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145378987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Construction of a risk prediction model for the timing of weaning extracorporeal membrane oxygenation]. [体外膜氧合脱机时机风险预测模型的构建]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20240904-00749
Dehua Zeng, Xifeng Liu, Zhibiao He, Aiqun Zhu
<p><strong>Objective: </strong>To explore the timing of weaning extracorporeal membrane oxygenation (ECMO) and analyze the risk factors that affect survival outcomes before weaning.</p><p><strong>Methods: </strong>A retrospective case-control study was conducted. Patients who received ECMO treatment and were weaned according to physicians' orders at the Second Xiangya Hospital of Central South University from January 2020 to June 2024 were enrolled as the study subjects. The general information, underlying diseases, indications and processes of ECMO, vital signs and arterial blood gas analysis 1 hour before weaning test, and biochemical indicators 24 hours before weaning test were collected through the hospital electronic medical record system. The primary outcome measure was the hospital mortality. The variables with P < 0.1 in univariate analysis and correlation analysis were included into binary Logistic regression analysis to identify risk factors. A nomogram model was constructed to predict the risk of weaning death in patients with ECMO, and receiver operator characteristic curve (ROC curve) and calibration curve were drawn to evaluate the model. Decision curve analysis (DCA) was used to evaluate the clinical net benefit rate of the model.</p><p><strong>Results: </strong>A total of 32 ECMO patients were included, among whom 10 received veno-arterial ECMO (VA-ECMO) and 22 received veno-venous ECMO (VV-ECMO). During the hospitalization period, 23 patients survived, while 9 died. The time from mechanical ventilation to ECMO activation in the death group was significantly longer than that in the survival group, and the time from ECMO cessation to discharge was significantly shorter than that in the survival group. The levels of diastolic blood pressure (DBP) and albumin (Alb) before weaning were significantly lower than those in the survival group, and the level of procalcitonin (PCT) was significantly higher than that in the survival group (all P < 0.05). Spearman correlation analysis showed that DBP, PCT, Alb, and thrombin time (TT) were correlated with the weaning outcomes of ECMO patients (r values were -0.450, 0.373, -0.376, -0.346, all P < 0.1). Binary Logistic regression analysis showed that the final indicators entering the regression equation included DBP [odds ratio (OR) = 0.864, 95% confidence interval (95%CI) was 0.756-0.982], PCT (OR = 1.157, 95%CI was 0.679-1.973), and TT (OR = 0.852, 95%CI was 0.693-1.049), and a nomogram model was constructed to predict the weaning outcomes of ECMO patients. ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the weaning outcome of ECMO patients was 0.831, with a sensitivity of 77.8% and a specificity of 65.2%. Its predictive value was better than that of single indicators DBP, PCT, and TT (AUC of 0.787, 0.739, and 0.722, respectively). The calibration curve showed that the prediction probability of the model was in good consistency with the actual
目的:探讨体外膜氧合(ECMO)脱机时机,分析影响脱机前生存结局的危险因素。方法:采用回顾性病例对照研究。选取2020年1月至2024年6月在中南大学湘雅第二医院接受ECMO治疗并按医嘱断奶的患者作为研究对象。通过医院电子病历系统收集患儿一般情况、基础疾病、ECMO适应证及流程、脱机前1小时生命体征及动脉血气分析、脱机前24小时生化指标。主要结局指标为住院死亡率。将单因素分析和相关分析中P < 0.1的变量纳入二元Logistic回归分析,确定危险因素。构建预测ECMO患者脱机死亡风险的nomogram模型,并绘制受试者特征曲线(receiver operator characteristic curve, ROC)和标定曲线对模型进行评价。采用决策曲线分析(Decision curve analysis, DCA)评价模型的临床净获益率。结果:共纳入32例ECMO患者,其中静脉-动脉ECMO (VA-ECMO) 10例,静脉-静脉ECMO (VV-ECMO) 22例。住院期间存活23例,死亡9例。死亡组从机械通气到启动ECMO的时间明显长于生存组,从停止ECMO到出院的时间明显短于生存组。断奶前舒张压(DBP)、白蛋白(Alb)水平显著低于生存组,降钙素原(PCT)水平显著高于生存组(P < 0.05)。Spearman相关分析显示,DBP、PCT、Alb、凝血酶时间(TT)与ECMO患者的脱机结局相关(r值分别为-0.450、0.373、-0.376、-0.346,P均< 0.1)。二元Logistic回归分析显示,最终进入回归方程的指标包括DBP[比值比(OR) = 0.864, 95%可信区间(95% ci)为0.756 ~ 0.982]、PCT (OR = 1.157, 95% ci为0.679 ~ 1.973)、TT (OR = 0.852, 95% ci为0.693 ~ 1.049),并构建了预测ECMO患者脱机结局的nomogram模型。ROC曲线分析显示,nomogram模型预测ECMO患者脱机结局的曲线下面积(AUC)为0.831,敏感性为77.8%,特异性为65.2%。其预测价值优于单一指标DBP、PCT、TT (AUC分别为0.787、0.739、0.722)。校正曲线显示,模型的预测概率与实际观测结果吻合较好,Hosmer-Lemeshow拟合优度检验结果显示,χ 2 = 8.3521, P = 0.400,表明模型拟合良好。DCA结果表明,在0 ~ 0.8的风险阈值范围内,净效益率均大于0,显著优于单一指标。结论:DBP、PCT、TT构建的nomogram模型对ECMO患者的脱机结局有一定的预测价值,可作为筛选ECMO脱机时机的指标。
{"title":"[Construction of a risk prediction model for the timing of weaning extracorporeal membrane oxygenation].","authors":"Dehua Zeng, Xifeng Liu, Zhibiao He, Aiqun Zhu","doi":"10.3760/cma.j.cn121430-20240904-00749","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240904-00749","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To explore the timing of weaning extracorporeal membrane oxygenation (ECMO) and analyze the risk factors that affect survival outcomes before weaning.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective case-control study was conducted. Patients who received ECMO treatment and were weaned according to physicians' orders at the Second Xiangya Hospital of Central South University from January 2020 to June 2024 were enrolled as the study subjects. The general information, underlying diseases, indications and processes of ECMO, vital signs and arterial blood gas analysis 1 hour before weaning test, and biochemical indicators 24 hours before weaning test were collected through the hospital electronic medical record system. The primary outcome measure was the hospital mortality. The variables with P &lt; 0.1 in univariate analysis and correlation analysis were included into binary Logistic regression analysis to identify risk factors. A nomogram model was constructed to predict the risk of weaning death in patients with ECMO, and receiver operator characteristic curve (ROC curve) and calibration curve were drawn to evaluate the model. Decision curve analysis (DCA) was used to evaluate the clinical net benefit rate of the model.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 32 ECMO patients were included, among whom 10 received veno-arterial ECMO (VA-ECMO) and 22 received veno-venous ECMO (VV-ECMO). During the hospitalization period, 23 patients survived, while 9 died. The time from mechanical ventilation to ECMO activation in the death group was significantly longer than that in the survival group, and the time from ECMO cessation to discharge was significantly shorter than that in the survival group. The levels of diastolic blood pressure (DBP) and albumin (Alb) before weaning were significantly lower than those in the survival group, and the level of procalcitonin (PCT) was significantly higher than that in the survival group (all P &lt; 0.05). Spearman correlation analysis showed that DBP, PCT, Alb, and thrombin time (TT) were correlated with the weaning outcomes of ECMO patients (r values were -0.450, 0.373, -0.376, -0.346, all P &lt; 0.1). Binary Logistic regression analysis showed that the final indicators entering the regression equation included DBP [odds ratio (OR) = 0.864, 95% confidence interval (95%CI) was 0.756-0.982], PCT (OR = 1.157, 95%CI was 0.679-1.973), and TT (OR = 0.852, 95%CI was 0.693-1.049), and a nomogram model was constructed to predict the weaning outcomes of ECMO patients. ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the weaning outcome of ECMO patients was 0.831, with a sensitivity of 77.8% and a specificity of 65.2%. Its predictive value was better than that of single indicators DBP, PCT, and TT (AUC of 0.787, 0.739, and 0.722, respectively). The calibration curve showed that the prediction probability of the model was in good consistency with the actual ","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"866-870"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145379046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Development and validation of predictive model for 30-day mortality in elderly patients with sepsis-associated liver dysfunction]. [老年败血症相关性肝功能障碍患者30天死亡率预测模型的建立与验证]。
Q3 Medicine Pub Date : 2025-09-01 DOI: 10.3760/cma.j.cn121430-20240923-00789
Beiyuan Zhang, Chenzhe He, Zimeng Qin, Ming Chen, Wenkui Yu, Ting Su
<p><strong>Objective: </strong>To develop and validate a nomogram model for predicting 30-day mortality among elderly patients with sepsis-associated liver dysfunction (SALD), to identify high-risk patients and improve prognosis.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted using data extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database for elderly patients with SALD who were first admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center between 2008 and 2019, including basic characteristics, severity scores, underlying diseases, infection foci, 24-hour vital signs, initial laboratory indicators, 24-hour complications, and prognosis related indicators. Patients were randomly assigned to training group and validation group in a ratio of 7 : 3. The training group used the LASSO regression analysis, as well as multivariate Logistic regression analysis to screen for independent risk factors for 30-day mortality. A nomogram prediction model was constructed, and receiver operator characteristic curve (ROC curve), calibration curves, and decision curve analysis (DCA) were used to evaluate the model, and validate the model using the validation cohort.</p><p><strong>Results: </strong>A total of 630 elderly patients with SLAD were included in the study, including 441 in the training group and 189 in the validation group. Oxford acute severity of illness score (OASIS) for training group [odds ratio (OR) = 1.060, 95% confidence interval (95%CI) was 1.034-1.086], 24-hour pulse oxygen saturation (SpO<sub>2</sub>; OR = 0.876, 95%CI was 0.797-0.962), initial mean corpuscular volume (MCV; OR = 1.043, 95%CI was 1.009-1.077), initial red blood cell distribution width (RDW; OR = 1.237, 95%CI was 1.123-1.362), initial blood glucose (OR = 1.008, 95%CI was 1.004-1.013), and initial aspartate aminotransferase (AST; OR = 1.000, 95%CI was 1.000-1.001) were independent risk factors for 30-day mortality in patients (all P < 0.05). Based on the above variables, a nomogram model was constructed, and the ROC curve showed that the area under the curve (AUC) of the model in the training group was 0.757 (95%CI was 0.712-0.803), with a sensitivity of 65.05% and a specificity of 74.90%; the AUC of the model in the validation group was 0.712 (95%CI was 0.631-0.792), with a sensitivity of 58.67% and a specificity of 81.58%. The calibration curves of the training and validation groups show that both the fitted curves were close to the standard curves. The Hosmer-Lemeshow test: the training group (χ <sup>2</sup> = 6.729, P = 0.566), the validation group (χ <sup>2</sup> = 13.889, P = 0.085), indicating that the model can fit the observed data well. The DCA curve shows that when the threshold probability of the training group was 16% to 94% and the threshold probability of the validation group was 27% to 99%, the net benefit of the model was good.</p><p><strong>Conclusions: </strong>OASIS, 24-hour SpO
目的:建立并验证一种预测老年败血症相关性肝功能障碍(SALD)患者30天死亡率的nomogram模型,以识别高危患者并改善预后。方法:利用重症监护医学信息市场- iv (MIMIC-IV)数据库中的数据,对2008 - 2019年首次入住贝斯以色列女执事医疗中心重症监护病房(ICU)的老年SALD患者进行回顾性队列研究,包括基本特征、严重程度评分、基础疾病、感染灶、24小时生命体征、初始实验室指标、24小时并发症及预后相关指标。将患者按7:3的比例随机分为训练组和验证组。训练组采用LASSO回归分析和多变量Logistic回归分析筛选30天死亡率的独立危险因素。建立nomogram预测模型,采用受试者算子特征曲线(ROC曲线)、校正曲线和决策曲线分析(DCA)对模型进行评价,并采用验证队列对模型进行验证。结果:共纳入630例老年SLAD患者,其中训练组441例,验证组189例。训练组的牛津急性疾病严重程度评分(OASIS)[优势比(OR) = 1.060, 95%可信区间(95% ci)为1.034 ~ 1.086]、24小时脉搏血氧饱和度(SpO2, OR = 0.876, 95% ci为0.797 ~ 0.962)、初始平均红细胞体积(MCV, OR = 1.043, 95% ci为1.009 ~ 1.077)、初始红细胞分布宽度(RDW, OR = 1.237, 95% ci为1.123 ~ 1.362)、初始血糖(OR = 1.008, 95% ci为1.004 ~ 1.013)、初始天冬氨酸转氨酶(AST;OR = 1.000, 95%CI为1.000-1.001)是患者30天死亡率的独立危险因素(均P < 0.05)。基于上述变量构建nomogram模型,ROC曲线显示,该模型在训练组的曲线下面积(AUC)为0.757 (95%CI为0.712-0.803),灵敏度为65.05%,特异性为74.90%;验证组模型的AUC为0.712 (95%CI为0.631 ~ 0.792),敏感性为58.67%,特异性为81.58%。训练组和验证组的校准曲线表明,两者的拟合曲线都接近标准曲线。Hosmer-Lemeshow检验:训练组(χ 2 = 6.729, P = 0.566),验证组(χ 2 = 13.889, P = 0.085),说明模型能很好地拟合观测数据。DCA曲线显示,当训练组的阈值概率为16% ~ 94%,验证组的阈值概率为27% ~ 99%时,模型的净效益较好。结论:OASIS、24小时SpO2、初始MCV、初始RDW、初始血糖、初始AST是影响老年SALD患者30天死亡率的独立危险因素。基于这六个变量的模态图显示出良好的预测性能。
{"title":"[Development and validation of predictive model for 30-day mortality in elderly patients with sepsis-associated liver dysfunction].","authors":"Beiyuan Zhang, Chenzhe He, Zimeng Qin, Ming Chen, Wenkui Yu, Ting Su","doi":"10.3760/cma.j.cn121430-20240923-00789","DOIUrl":"https://doi.org/10.3760/cma.j.cn121430-20240923-00789","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To develop and validate a nomogram model for predicting 30-day mortality among elderly patients with sepsis-associated liver dysfunction (SALD), to identify high-risk patients and improve prognosis.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective cohort study was conducted using data extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database for elderly patients with SALD who were first admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center between 2008 and 2019, including basic characteristics, severity scores, underlying diseases, infection foci, 24-hour vital signs, initial laboratory indicators, 24-hour complications, and prognosis related indicators. Patients were randomly assigned to training group and validation group in a ratio of 7 : 3. The training group used the LASSO regression analysis, as well as multivariate Logistic regression analysis to screen for independent risk factors for 30-day mortality. A nomogram prediction model was constructed, and receiver operator characteristic curve (ROC curve), calibration curves, and decision curve analysis (DCA) were used to evaluate the model, and validate the model using the validation cohort.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 630 elderly patients with SLAD were included in the study, including 441 in the training group and 189 in the validation group. Oxford acute severity of illness score (OASIS) for training group [odds ratio (OR) = 1.060, 95% confidence interval (95%CI) was 1.034-1.086], 24-hour pulse oxygen saturation (SpO&lt;sub&gt;2&lt;/sub&gt;; OR = 0.876, 95%CI was 0.797-0.962), initial mean corpuscular volume (MCV; OR = 1.043, 95%CI was 1.009-1.077), initial red blood cell distribution width (RDW; OR = 1.237, 95%CI was 1.123-1.362), initial blood glucose (OR = 1.008, 95%CI was 1.004-1.013), and initial aspartate aminotransferase (AST; OR = 1.000, 95%CI was 1.000-1.001) were independent risk factors for 30-day mortality in patients (all P &lt; 0.05). Based on the above variables, a nomogram model was constructed, and the ROC curve showed that the area under the curve (AUC) of the model in the training group was 0.757 (95%CI was 0.712-0.803), with a sensitivity of 65.05% and a specificity of 74.90%; the AUC of the model in the validation group was 0.712 (95%CI was 0.631-0.792), with a sensitivity of 58.67% and a specificity of 81.58%. The calibration curves of the training and validation groups show that both the fitted curves were close to the standard curves. The Hosmer-Lemeshow test: the training group (χ &lt;sup&gt;2&lt;/sup&gt; = 6.729, P = 0.566), the validation group (χ &lt;sup&gt;2&lt;/sup&gt; = 13.889, P = 0.085), indicating that the model can fit the observed data well. The DCA curve shows that when the threshold probability of the training group was 16% to 94% and the threshold probability of the validation group was 27% to 99%, the net benefit of the model was good.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;OASIS, 24-hour SpO","PeriodicalId":24079,"journal":{"name":"Zhonghua wei zhong bing ji jiu yi xue","volume":"37 9","pages":"802-808"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145378720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Zhonghua wei zhong bing ji jiu yi xue
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1