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Definitions and Denominators ICU Utilization: What Do the Numbers Really Tell Us? 定义和分母 ICU 使用率:数字到底告诉我们什么?
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-08-15 DOI: 10.1097/CCM.0000000000006365
Jordan A Kempker, Sivasubramanium V Bhavani
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引用次数: 0
The Impact of Common Variations in Sequential Organ Failure Assessment Score Calculation on Sepsis Measurement Using Sepsis-3 Criteria: A Retrospective Analysis Using Electronic Health Record Data. 序贯器官衰竭评估评分计算中的常见差异对使用败血症-3 标准进行败血症测量的影响:使用电子健康记录数据的回顾性分析。
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-05-23 DOI: 10.1097/CCM.0000000000006338
Mohammad Alrawashdeh, Michael Klompas, Chanu Rhee

Objectives: To assess the impact of different methods of calculating Sequential Organ Failure Assessment (SOFA) scores using electronic health record data on the incidence, outcomes, agreement, and predictive validity of Sepsis-3 criteria.

Design: Retrospective observational study.

Setting: Five Massachusetts hospitals.

Patients: Hospitalized adults, 2015 to 2022.

Interventions: None.

Measurements and main results: We defined sepsis as a suspected infection (culture obtained and antibiotic administered) with a concurrent increase in SOFA score by greater than or equal to 2 points (Sepsis-3 criteria). Our reference SOFA implementation strategy imputed normal values for missing data, used Pa o2 /F io2 ratios for respiratory scores, and assumed normal baseline SOFA scores for community-onset sepsis. We then implemented SOFA scores using different missing data imputation strategies (averaging worst values from preceding and following days vs. carrying forward nonmissing values), imputing respiratory scores using Sp o2 /F io2 ratios, and incorporating comorbidities and prehospital laboratory data into baseline SOFA scores. Among 1,064,459 hospitalizations, 297,512 (27.9%) had suspected infection and 141,052 (13.3%) had sepsis with an in-hospital mortality rate of 10.3% using the reference SOFA method. The percentage of patients missing SOFA components for at least 1 day in the infection window was highest for Pa o2 /F io2 ratios (98.6%), followed by Sp o2 /F io2 ratios (73.5%), bilirubin (68.5%), and Glasgow Coma Scale scores (57.2%). Different missing data imputation strategies yielded near-perfect agreement in identifying sepsis (kappa 0.99). However, using Sp o2 /F io2 imputations yielded higher sepsis incidence (18.3%), lower mortality (8.1%), and slightly lower predictive validity for mortality (area under the receiver operating curves [AUROC] 0.76 vs. 0.78). For community-onset sepsis, incorporating comorbidities and historical laboratory data into baseline SOFA score estimates yielded lower sepsis incidence (6.9% vs. 11.6%), higher mortality (13.4% vs. 9.6%), and higher predictive validity (AUROC 0.79 vs. 0.75) relative to the reference SOFA implementation.

Conclusions: Common variations in calculating respiratory and baseline SOFA scores, but not in handling missing data, lead to substantial differences in observed incidence, mortality, agreement, and predictive validity of Sepsis-3 criteria.

目的评估使用电子健康记录数据计算序贯器官衰竭评估(SOFA)评分的不同方法对脓毒症-3标准的发生率、结果、一致性和预测有效性的影响:设计:回顾性观察研究:五家马萨诸塞州医院:干预措施:无:干预措施:无:我们将败血症定义为疑似感染(获得培养并使用抗生素),同时 SOFA 评分上升大于或等于 2 分(败血症-3 标准)。我们的 SOFA 参考实施策略对缺失数据进行了正常值估算,对呼吸系统评分使用了 Pao2/Fio2 比率,并假定社区发生的脓毒症的 SOFA 评分基线正常。然后,我们采用不同的缺失数据估算策略(平均前一天和后一天的最差值与结转非缺失值)实施 SOFA 评分,使用 Spo2/Fio2 比率估算呼吸评分,并将合并症和院前实验室数据纳入基线 SOFA 评分。在 1,064,459 例住院患者中,297,512 例(27.9%)疑似感染,141,052 例(13.3%)脓毒症,使用参考 SOFA 方法计算的院内死亡率为 10.3%。在感染窗口期至少 1 天内缺失 SOFA 成分的患者比例最高的是 Pao2/Fio2 比值(98.6%),其次是 Spo2/Fio2 比值(73.5%)、胆红素(68.5%)和格拉斯哥昏迷量表评分(57.2%)。不同的缺失数据估算策略在识别败血症方面几乎完全一致(kappa 0.99)。然而,使用 Spo2/Fio2 估算的脓毒症发病率较高(18.3%),死亡率较低(8.1%),预测死亡率的有效性略低(接收者操作曲线下面积 [AUROC] 0.76 对 0.78)。对于社区发生的败血症,将合并症和历史实验室数据纳入基线 SOFA 评分估计值可降低败血症发病率(6.9% 对 11.6%),提高死亡率(13.4% 对 9.6%),并提高预测有效性(接收器操作曲线下面积 0.79 对 0.75):结论:在计算呼吸系统和基线 SOFA 分数方面的常见差异,以及在处理缺失数据方面的常见差异,导致脓毒症-3 标准在观察到的发病率、死亡率、一致性和预测有效性方面存在巨大差异。
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引用次数: 0
Resuscitation for Donation After Brain Death: Respecting Autonomy and Maximizing Utility. 脑死亡后捐赠的复苏:尊重自主权和最大化效用。
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2023-12-07 DOI: 10.1097/CCM.0000000000006139
Christos Lazaridis
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引用次数: 0
Blood Pressure Threshold Following Pediatric Cardiac Arrest: How Low Can We Really Go, and How Long Can We Stay There? 小儿心脏骤停后的血压阈值:我们到底能把血压降到多低?
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-08-15 DOI: 10.1097/CCM.0000000000006356
Yi-Chen Lai
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引用次数: 0
Digital Twins of Acute Hypoxemic Respiratory Failure Patients Suggest a Mechanistic Basis for Success and Failure of Noninvasive Ventilation. 急性低氧血症呼吸衰竭患者的数字双胞胎提示了无创通气成功和失败的机制基础。
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-05-29 DOI: 10.1097/CCM.0000000000006337
Liam Weaver, Hossein Shamohammadi, Sina Saffaran, Roberto Tonelli, Marianna Laviola, John G Laffey, Luigi Camporota, Timothy E Scott, Jonathan G Hardman, Enrico Clini, Declan G Bates

Objectives: To clarify the mechanistic basis for the success or failure of noninvasive ventilation (NIV) in acute hypoxemic respiratory failure (AHRF).

Design: We created digital twins based on mechanistic computational models of individual patients with AHRF.

Setting: Interdisciplinary Collaboration in Systems Medicine Research Network.

Subjects: We used individual patient data from 30 moderate-to-severe AHRF patients who had failed high-flow nasal cannula (HFNC) therapy and subsequently underwent a trial of NIV.

Interventions: Using the digital twins, we evaluated lung mechanics, quantified the separate contributions of external support and patient respiratory effort to lung injury indices, and investigated their relative impact on NIV success or failure.

Measurements and main results: In digital twins of patients who successfully completed/failed NIV, after 2 hours of the trial the mean (sd) of the change in total lung stress was -10.9 (6.2)/-0.35 (3.38) cm H2O, mechanical power -13.4 (12.2)/-1.0 (5.4) J/min, and total lung strain 0.02 (0.24)/0.16 (0.30). In the digital twins, positive end-expiratory pressure (PEEP) produced by HFNC was similar to that set during NIV. In digital twins of patients who failed NIV vs. those who succeeded, intrinsic PEEP was 3.5 (0.6) vs. 2.3 (0.8) cm H2O, inspiratory pressure support was 8.3 (5.9) vs. 22.3 (7.2) cm H2O, and tidal volume was 10.9 (1.2) vs. 9.4 (1.8) mL/kg. In digital twins, successful NIV increased respiratory system compliance +25.0 (16.4) mL/cm H2O, lowered inspiratory muscle pressure -9.7 (9.6) cm H2O, and reduced the contribution of patient spontaneous breathing to total driving pressure by 57.0%.

Conclusions: In digital twins of AHRF patients, successful NIV improved lung mechanics, lowering respiratory effort and indices associated with lung injury. NIV failed in patients for whom only low levels of positive inspiratory pressure support could be applied without risking patient self-inflicted lung injury due to excessive tidal volumes.

目的阐明急性低氧血症呼吸衰竭(AHRF)患者无创通气(NIV)成功或失败的机理基础:我们根据 AHRF 患者的机理计算模型创建了数字双胞胎:环境:系统医学研究网络跨学科合作:我们使用了 30 名中重度 AHRF 患者的个体数据,这些患者曾接受高流量鼻插管 (HFNC) 治疗失败,随后接受了 NIV 试验:利用数字双胞胎,我们评估了肺力学,量化了外部支持和患者呼吸努力对肺损伤指数的不同贡献,并研究了它们对 NIV 成败的相对影响:在成功完成/失败 NIV 的数字双胞胎患者中,试验 2 小时后肺总压力变化的平均值(sd)为 -10.9 (6.2)/-0.35 (3.38) cm H2O,机械功率为 -13.4 (12.2)/-1.0 (5.4) J/min,肺总应变为 0.02 (0.24)/0.16 (0.30)。在数字双胞胎中,HFNC 产生的呼气末正压(PEEP)与 NIV 期间设定的呼气末正压相似。在 NIV 失败与 NIV 成功的数字双胞胎患者中,内在 PEEP 为 3.5 (0.6) cm H2O vs. 2.3 (0.8) cm H2O,吸气压力支持为 8.3 (5.9) cm H2O vs. 22.3 (7.2) cm H2O,潮气量为 10.9 (1.2) mL/kg vs. 9.4 (1.8) mL/kg。在数字双胞胎中,成功的 NIV 增加了呼吸系统顺应性 +25.0 (16.4) mL/cm H2O,降低了吸气肌压力 -9.7 (9.6) cm H2O,并将患者自主呼吸对总驱动压力的贡献率降低了 57.0%:结论:在数字化双胞胎 AHRF 患者中,成功的 NIV 改善了肺力学,降低了呼吸强度和与肺损伤相关的指标。对于只能使用低水平吸气正压支持而不会因潮气量过大导致患者自身肺损伤的患者,NIV 是失败的。
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引用次数: 0
Should We Explore Transesophageal Echocardiography During Advanced Cardiac Life Support to Improve Cardiopulmonary Resuscitation Quality and Efficacy? 我们是否应该在高级心脏生命支持过程中探索经食道超声心动图,以提高心肺复苏的质量和效果?
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-08-15 DOI: 10.1097/CCM.0000000000006370
José L Díaz-Gómez
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引用次数: 0
Toward Precision in Critical Care Research: Methods for Observational and Interventional Studies. 实现重症监护研究的精确性:观察和干预研究方法》。
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-08-15 DOI: 10.1097/CCM.0000000000006371
Emma J Graham Linck, Ewan C Goligher, Matthew W Semler, Matthew M Churpek

Critical care trials evaluate the effect of interventions in patients with diverse personal histories and causes of illness, often under the umbrella of heterogeneous clinical syndromes, such as sepsis or acute respiratory distress syndrome. Given this variation, it is reasonable to expect that the effect of treatment on outcomes may differ for individuals with variable characteristics. However, in randomized controlled trials, efficacy is typically assessed by the average treatment effect (ATE), which quantifies the average effect of the intervention on the outcome in the study population. Importantly, the ATE may hide variations of the treatment's effect on a clinical outcome across levels of patient characteristics, which may erroneously lead to the conclusion that an intervention does not work overall when it may in fact benefit certain patients. In this review, we describe methodological approaches for assessing heterogeneity of treatment effect (HTE), including expert-derived subgrouping, data-driven subgrouping, baseline risk modeling, treatment effect modeling, and individual treatment rule estimation. Next, we outline how insights from HTE analyses can be incorporated into the design of clinical trials. Finally, we propose a research agenda for advancing the field and bringing HTE approaches to the bedside.

重症监护试验评估的是干预措施对不同病史和病因患者的效果,这些患者通常属于不同的临床综合征,如败血症或急性呼吸窘迫综合征。鉴于这种差异,我们有理由相信,对于具有不同特征的个体,治疗效果可能会有所不同。然而,在随机对照试验中,疗效通常是通过平均治疗效果(ATE)来评估的,它量化了干预措施对研究人群结果的平均影响。重要的是,平均治疗效果可能会掩盖不同患者特征水平下治疗对临床结果影响的差异,这可能会错误地得出干预措施总体无效的结论,而事实上干预措施可能会使某些患者受益。在这篇综述中,我们介绍了评估治疗效果异质性(HTE)的方法论,包括专家衍生的分组、数据驱动的分组、基线风险建模、治疗效果建模和个体治疗规则估计。接下来,我们概述了如何将 HTE 分析的见解纳入临床试验的设计中。最后,我们提出了推进该领域发展并将 HTE 方法应用于临床的研究议程。
{"title":"Toward Precision in Critical Care Research: Methods for Observational and Interventional Studies.","authors":"Emma J Graham Linck, Ewan C Goligher, Matthew W Semler, Matthew M Churpek","doi":"10.1097/CCM.0000000000006371","DOIUrl":"10.1097/CCM.0000000000006371","url":null,"abstract":"<p><p>Critical care trials evaluate the effect of interventions in patients with diverse personal histories and causes of illness, often under the umbrella of heterogeneous clinical syndromes, such as sepsis or acute respiratory distress syndrome. Given this variation, it is reasonable to expect that the effect of treatment on outcomes may differ for individuals with variable characteristics. However, in randomized controlled trials, efficacy is typically assessed by the average treatment effect (ATE), which quantifies the average effect of the intervention on the outcome in the study population. Importantly, the ATE may hide variations of the treatment's effect on a clinical outcome across levels of patient characteristics, which may erroneously lead to the conclusion that an intervention does not work overall when it may in fact benefit certain patients. In this review, we describe methodological approaches for assessing heterogeneity of treatment effect (HTE), including expert-derived subgrouping, data-driven subgrouping, baseline risk modeling, treatment effect modeling, and individual treatment rule estimation. Next, we outline how insights from HTE analyses can be incorporated into the design of clinical trials. Finally, we propose a research agenda for advancing the field and bringing HTE approaches to the bedside.</p>","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":"52 9","pages":"1439-1450"},"PeriodicalIF":7.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11328956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141981930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Two Consecutive Weeks Are No Better Than One at a Time: Targeting Optimal Intensivist Scheduling. 连续两周不比一次好:瞄准最佳强化治疗时间安排。
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-08-15 DOI: 10.1097/CCM.0000000000006344
Christopher J Yarnell
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引用次数: 0
Association of Postarrest Hypotension Burden With Unfavorable Neurologic Outcome After Pediatric Cardiac Arrest. 小儿心脏骤停后低血压负担与不良神经系统预后的关系
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-06-04 DOI: 10.1097/CCM.0000000000006339
Raymond Liu, Tanmay Majumdar, Monique M Gardner, Ryan Burnett, Kathryn Graham, Forrest Beaulieu, Robert M Sutton, Vinay M Nadkarni, Robert A Berg, Ryan W Morgan, Alexis A Topjian, Matthew P Kirschen

Objective: Quantify hypotension burden using high-resolution continuous arterial blood pressure (ABP) data and determine its association with outcome after pediatric cardiac arrest.

Design: Retrospective observational study.

Setting: Academic PICU.

Patients: Children 18 years old or younger admitted with in-of-hospital or out-of-hospital cardiac arrest who had invasive ABP monitoring during postcardiac arrest care.

Interventions: None.

Measurements and main results: High-resolution continuous ABP was analyzed up to 24 hours after the return of circulation (ROC). Hypotension burden was the time-normalized integral area between mean arterial pressure (MAP) and fifth percentile MAP for age. The primary outcome was unfavorable neurologic status (pediatric cerebral performance category ≥ 3 with change from baseline) at hospital discharge. Mann-Whitney U tests compared hypotension burden, duration, and magnitude between favorable and unfavorable patients. Multivariable logistic regression determined the association of unfavorable outcomes with hypotension burden, duration, and magnitude at various percentile thresholds from the 5th through 50th percentile for age. Of 140 patients (median age 53 [interquartile range 11-146] mo, 61% male); 63% had unfavorable outcomes. Monitoring duration was 21 (7-24) hours. Using a MAP threshold at the fifth percentile for age, the median hypotension burden was 0.01 (0-0.11) mm Hg-hours per hour, greater for patients with unfavorable compared with favorable outcomes (0 [0-0.02] vs. 0.02 [0-0.27] mm Hg-hr per hour, p < 0.001). Hypotension duration and magnitude were greater for unfavorable compared with favorable patients (0.03 [0-0.77] vs. 0.71 [0-5.01]%, p = 0.003; and 0.16 [0-1.99] vs. 2 [0-4.02] mm Hg, p = 0.001). On logistic regression, a 1-point increase in hypotension burden below the fifth percentile for age (equivalent to 1 mm Hg-hr of burden per hour of recording) was associated with increased odds of unfavorable outcome (adjusted odds ratio [aOR] 14.8; 95% CI, 1.1-200; p = 0.040). At MAP thresholds of 10th-50th percentiles for age, MAP burden below the threshold was greater in unfavorable compared with favorable patients in a dose-dependent manner.

Conclusions: High-resolution continuous ABP data can be used to quantify hypotension burden after pediatric cardiac arrest. The burden, duration, and magnitude of hypotension are associated with unfavorable neurologic outcomes.

目的: 利用高分辨率连续动脉血压 (ABP) 数据量化低血压负担,并确定其与小儿心脏骤停后的预后之间的关系:利用高分辨率连续动脉血压 (ABP) 数据量化低血压负担,并确定其与小儿心脏骤停后的预后之间的关系:设计:回顾性观察研究:患者患者:18 岁或以下因院内或院外心脏骤停而入院的儿童,在心脏骤停后护理期间接受有创 ABP 监测:测量和主要结果:对循环恢复(ROC)后 24 小时内的高分辨率连续 ABP 进行分析。低血压负担是平均动脉压 (MAP) 与年龄第五百分位数 MAP 之间的时间归一化积分面积。主要结果是出院时的不良神经功能状态(小儿脑功能类别≥3,与基线相比有变化)。Mann-Whitney U 检验比较了有利和不利患者的低血压负担、持续时间和程度。多变量逻辑回归确定了不利预后与低血压负担、持续时间和程度在不同百分位数阈值(从年龄的第 5 百分位数到第 50 百分位数)之间的关系。在 140 名患者中(中位年龄为 53 [四分位间范围为 11-146] 个月,61% 为男性),63% 的患者出现了不良后果。监测持续时间为 21(7-24)小时。以年龄的第五百分位数为 MAP 临界值,低血压负担的中位数为每小时 0.01 (0-0.11) mm Hg-小时,不利预后患者的低血压负担高于有利预后患者(每小时 0 [0-0.02] mm Hg-hr vs. 0.02 [0-0.27] mm Hg-hr,P <0.001)。与预后良好的患者相比,预后不良患者的低血压持续时间和程度更长(0.03 [0-0.77] vs. 0.71 [0-5.01]%,p = 0.003;0.16 [0-1.99] vs. 2 [0-4.02] mm Hg,p = 0.001)。在逻辑回归中,低血压负担每增加 1 个百分点,低于年龄的第五个百分位数(相当于每记录 1 小时低血压负担增加 1 mm Hg-hr),不利预后的几率就会增加(调整后的几率比 [aOR] 14.8;95% CI,1.1-200;p = 0.040)。在MAP阈值为年龄的第10-50百分位数时,与预后良好的患者相比,预后不良患者的MAP负荷低于阈值的几率更大,且呈剂量依赖性:高分辨率连续 ABP 数据可用于量化小儿心脏骤停后的低血压负担。结论:高分辨率连续 ABP 数据可用于量化小儿心脏骤停后的低血压负担,低血压的负担、持续时间和程度与不利的神经系统预后有关。
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引用次数: 0
The Ideal Mean Arterial Pressure Target Debate: Heterogeneity Obscures Conclusions. 理想平均动脉压目标辩论:异质性掩盖了结论。
IF 7.7 1区 医学 Q1 CRITICAL CARE MEDICINE Pub Date : 2024-09-01 Epub Date: 2024-08-15 DOI: 10.1097/CCM.0000000000006331
Daniel De Backer, Ashish K Khanna
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引用次数: 0
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Critical Care Medicine
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