高级检索
当前位置: 首页 > 详情页

Development and validation of outcome prediction models for acute kidney injury patients undergoing continuous renal replacement therapy

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE ◇ 预警期刊

机构: [1]Intensive Care Unit, Hebei Medical University Fourth Aliated Hospital and Hebei Provincial Tumor Hospital, Shijiazhuang, China
出处:
ISSN:

关键词: acute kidney injury continuous renal replacement therapy prediction model nomogram validation

摘要:
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.

语种:
被引次数:
WOS:
PubmedID:
中科院分区:
出版当年[2022]版:
大类 | 3 区 医学
小类 | 3 区 医学:内科
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 医学:内科
JCR分区:
出版当年[2022]版:
Q2 MEDICINE, GENERAL & INTERNAL
最新[2024]版:
Q1 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2024版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

第一作者:
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):
APA:
MLA:

资源点击量:42329 今日访问量:0 总访问量:1365 更新日期:2025-08-01 建议使用谷歌、火狐浏览器 常见问题

技术支持:重庆聚合科技有限公司 地址:河北省石家庄市健康路12号