机构:[1]Intensive Care Unit, Hebei Medical University Fourth Aliated Hospital and Hebei Provincial Tumor Hospital, Shijiazhuang, China临床科室重症医学科河北医科大学第四医院
Object: This study aimed to develop and validate a set of practical predictive toots that reliably estimate the 28-day prognosis of acute kidney injury patients undergoing continuous renal replacement therapy. Methods: The clinical data of acute kidney injury patients undergoing continuous renal replacement therapy were extracted from the Medical Information Mart for Intensive Care IV database with structured query language and used as the development cohort. An all-subset regression was used for the model screening. Predictive models were constructed via a logistic regression, and external validation of the models was performed using independent external data. Results: Clinical prediction models were developed with clinical data from 1,148 patients and validated with data from 121 patients. The predictive model based on seven predictors (age, vasopressor use, red cell volume distribution width, lactate, white blood cell count, platelet count, and phosphate) exhibited good predictive performance, as indicated by a C-index of 0.812 in the development cohort 0.811 in the internal validation cohort and 0.768 in the external validation cohort. Conclusions: The model reliably predicted the 28-day prognosis of acute kidney injury patients undergoing continuous renal replacement therapy. The predictive items are readily available, and the web-based prognostic calculator (https://libo220284.shinyapps.io/DynNomapp/) can be used as an adjunctive toot to support the management of patients.
第一作者机构:[1]Intensive Care Unit, Hebei Medical University Fourth Aliated Hospital and Hebei Provincial Tumor Hospital, Shijiazhuang, China
通讯作者:
通讯机构:[1]Intensive Care Unit, Hebei Medical University Fourth Aliated Hospital and Hebei Provincial Tumor Hospital, Shijiazhuang, China
推荐引用方式(GB/T 7714):
Li Bo,Huo Yan,Zhang Kun,et al.Development and validation of outcome prediction models for acute kidney injury patients undergoing continuous renal replacement therapy[J].FRONTIERS IN MEDICINE.2022,9:doi:10.3389/fmed.2022.853989.
APA:
Li, Bo,Huo, Yan,Zhang, Kun,Chang, Limin,Zhang, Haohua...&Hu, Zhenjie.(2022).Development and validation of outcome prediction models for acute kidney injury patients undergoing continuous renal replacement therapy.FRONTIERS IN MEDICINE,9,
MLA:
Li, Bo,et al."Development and validation of outcome prediction models for acute kidney injury patients undergoing continuous renal replacement therapy".FRONTIERS IN MEDICINE 9.(2022)