Jingwen Zhang, Guoqiang Zhang, JiaJia Wang, Yun Xiao, Xinxin Lu, Xunhong Lan, Yan Zhang, Zhang Dai
{"title":"非社会性念珠菌病临床预测模型的建立与验证:18年回顾性分析","authors":"Jingwen Zhang, Guoqiang Zhang, JiaJia Wang, Yun Xiao, Xinxin Lu, Xunhong Lan, Yan Zhang, Zhang Dai","doi":"10.2147/IDR.S480028","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Nosocomial candidemia is a life-threatening condition, and the incidence has increased in recent years. Thorough epidemiological data is still lacking in China.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted to investigate the patients admitted to Zhongshan Hospital Xiamen University from 1 January 2004 to 31 December 2022. This study included 205 individuals who were diagnosed with candidemia as subjects. Additionally, 303 cases with blood cultures were negative during the same period and were from the same department as a control group. We randomly assigned them to the training and validation groups in a 7:3 ratio. The least absolute shrinkage and selection operator regression, univariate and multivariate logistic regression analyses were used to filtrate independent factors associated with nosocomial candidemia. A nomogram model was established based on the selected variables. Receiver operating characteristic (ROC) curve, calibration plots and decision curve analysis (DCA) were used to evaluate clinical utility.</p><p><strong>Results: </strong>Two hundred and five nosocomial candidemia patients were reported, containing a high proportion of <i>Candida albicans</i> (n = 91,44.39%), followed by <i>Candida parapsilosis</i> (n = 40, 19.51%), <i>Candida tropicalis</i> (n = 37,18.05%), <i>Candida glabrata</i> (n = 23, 11.22%) and <i>Candida guilliermondii</i> (n = 9,4.39%). Multiple organ dysfunction syndrome (OR = 10.372, 95% CI: 4.745-24.14 <i>P</i> < 0.001), increased urea nitrogen of serum (OR=1.088,95% CI: 1.039-1.144 <i>P</i><0.001), decreased albumin of serum (OR = 0.922 95% CI: 0.850-0.997 <i>P</i>=0.045), mechanical ventilation (OR=4.074,95% CI: 1.397-12.77 <i>P</i>=0.012), central venous indwelling catheter (OR=7.422,95% CI: 3.189-18.41 <i>P</i><0.001) and solid tumor (OR = 3.036 95% CI: 1.276-7.359 <i>P</i>=0.012) were identified as independent risk factors of candidemia. The area under the curve (AUC) of the nomogram model was 0.925 (95% CI: 0.898-0.952) in the training group and 0.946 (95% CI: 0.881-0.963) in the validation group. The calibration curve revealed good agreement between the probability and the observed values. DCA indicated that this nomogram might be clinically beneficial.</p><p><strong>Conclusion: </strong>The nomogram including multiple organ dysfunction syndrome, elevated blood urea nitrogen, decreased albumin, mechanical ventilation, central venous indwelling catheter and solid tumor could provide reference value to clinicians for identifying nosocomial candidemia.</p>","PeriodicalId":13577,"journal":{"name":"Infection and Drug Resistance","volume":"17 ","pages":"4455-4466"},"PeriodicalIF":2.9000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11491067/pdf/","citationCount":"0","resultStr":"{\"title\":\"Establishment and Validation of a Nomogram Clinical Prediction Model for Nosocomial Candidemia: An 18-Year Retrospective Analysis.\",\"authors\":\"Jingwen Zhang, Guoqiang Zhang, JiaJia Wang, Yun Xiao, Xinxin Lu, Xunhong Lan, Yan Zhang, Zhang Dai\",\"doi\":\"10.2147/IDR.S480028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Nosocomial candidemia is a life-threatening condition, and the incidence has increased in recent years. Thorough epidemiological data is still lacking in China.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted to investigate the patients admitted to Zhongshan Hospital Xiamen University from 1 January 2004 to 31 December 2022. This study included 205 individuals who were diagnosed with candidemia as subjects. Additionally, 303 cases with blood cultures were negative during the same period and were from the same department as a control group. We randomly assigned them to the training and validation groups in a 7:3 ratio. The least absolute shrinkage and selection operator regression, univariate and multivariate logistic regression analyses were used to filtrate independent factors associated with nosocomial candidemia. A nomogram model was established based on the selected variables. Receiver operating characteristic (ROC) curve, calibration plots and decision curve analysis (DCA) were used to evaluate clinical utility.</p><p><strong>Results: </strong>Two hundred and five nosocomial candidemia patients were reported, containing a high proportion of <i>Candida albicans</i> (n = 91,44.39%), followed by <i>Candida parapsilosis</i> (n = 40, 19.51%), <i>Candida tropicalis</i> (n = 37,18.05%), <i>Candida glabrata</i> (n = 23, 11.22%) and <i>Candida guilliermondii</i> (n = 9,4.39%). Multiple organ dysfunction syndrome (OR = 10.372, 95% CI: 4.745-24.14 <i>P</i> < 0.001), increased urea nitrogen of serum (OR=1.088,95% CI: 1.039-1.144 <i>P</i><0.001), decreased albumin of serum (OR = 0.922 95% CI: 0.850-0.997 <i>P</i>=0.045), mechanical ventilation (OR=4.074,95% CI: 1.397-12.77 <i>P</i>=0.012), central venous indwelling catheter (OR=7.422,95% CI: 3.189-18.41 <i>P</i><0.001) and solid tumor (OR = 3.036 95% CI: 1.276-7.359 <i>P</i>=0.012) were identified as independent risk factors of candidemia. The area under the curve (AUC) of the nomogram model was 0.925 (95% CI: 0.898-0.952) in the training group and 0.946 (95% CI: 0.881-0.963) in the validation group. The calibration curve revealed good agreement between the probability and the observed values. DCA indicated that this nomogram might be clinically beneficial.</p><p><strong>Conclusion: </strong>The nomogram including multiple organ dysfunction syndrome, elevated blood urea nitrogen, decreased albumin, mechanical ventilation, central venous indwelling catheter and solid tumor could provide reference value to clinicians for identifying nosocomial candidemia.</p>\",\"PeriodicalId\":13577,\"journal\":{\"name\":\"Infection and Drug Resistance\",\"volume\":\"17 \",\"pages\":\"4455-4466\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11491067/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection and Drug Resistance\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/IDR.S480028\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection and Drug Resistance","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/IDR.S480028","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Establishment and Validation of a Nomogram Clinical Prediction Model for Nosocomial Candidemia: An 18-Year Retrospective Analysis.
Background: Nosocomial candidemia is a life-threatening condition, and the incidence has increased in recent years. Thorough epidemiological data is still lacking in China.
Methods: A retrospective cohort study was conducted to investigate the patients admitted to Zhongshan Hospital Xiamen University from 1 January 2004 to 31 December 2022. This study included 205 individuals who were diagnosed with candidemia as subjects. Additionally, 303 cases with blood cultures were negative during the same period and were from the same department as a control group. We randomly assigned them to the training and validation groups in a 7:3 ratio. The least absolute shrinkage and selection operator regression, univariate and multivariate logistic regression analyses were used to filtrate independent factors associated with nosocomial candidemia. A nomogram model was established based on the selected variables. Receiver operating characteristic (ROC) curve, calibration plots and decision curve analysis (DCA) were used to evaluate clinical utility.
Results: Two hundred and five nosocomial candidemia patients were reported, containing a high proportion of Candida albicans (n = 91,44.39%), followed by Candida parapsilosis (n = 40, 19.51%), Candida tropicalis (n = 37,18.05%), Candida glabrata (n = 23, 11.22%) and Candida guilliermondii (n = 9,4.39%). Multiple organ dysfunction syndrome (OR = 10.372, 95% CI: 4.745-24.14 P < 0.001), increased urea nitrogen of serum (OR=1.088,95% CI: 1.039-1.144 P<0.001), decreased albumin of serum (OR = 0.922 95% CI: 0.850-0.997 P=0.045), mechanical ventilation (OR=4.074,95% CI: 1.397-12.77 P=0.012), central venous indwelling catheter (OR=7.422,95% CI: 3.189-18.41 P<0.001) and solid tumor (OR = 3.036 95% CI: 1.276-7.359 P=0.012) were identified as independent risk factors of candidemia. The area under the curve (AUC) of the nomogram model was 0.925 (95% CI: 0.898-0.952) in the training group and 0.946 (95% CI: 0.881-0.963) in the validation group. The calibration curve revealed good agreement between the probability and the observed values. DCA indicated that this nomogram might be clinically beneficial.
Conclusion: The nomogram including multiple organ dysfunction syndrome, elevated blood urea nitrogen, decreased albumin, mechanical ventilation, central venous indwelling catheter and solid tumor could provide reference value to clinicians for identifying nosocomial candidemia.
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ISSN: 1178-6973
Editor-in-Chief: Professor Suresh Antony
An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.