Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study

心力衰竭 医学 糖尿病 2型糖尿病 重症监护医学 回顾性队列研究 内科学 急诊医学 内分泌学
作者
Yuxin He,Yuan Yuan,Qunyou Tan,Xiao Zhang,Yunyu Liu,Minghu Xiao
出处
期刊:Frontiers in Endocrinology [Frontiers Media]
卷期号:16: 1534516-1534516 被引量:2
标识
DOI:10.3389/fendo.2025.1534516
摘要

Background Elderly type 2 diabetes mellitus (T2DM) patients complicated with heart failure (HF) exhibit a high rate of 30-day readmission. Predictive models have been suggested as tools for identifying high-risk patients. Thus, we aimed to develop and validate a predictive model using multicenter electronic medical records (EMRs) data to estimate the risk of 30-day readmission in elderly T2DM patients complicated with HF. Methods EMRs data of elderly T2DM patients complicated with HF from five tertiary hospitals, spanning 2012 to 2023, were utilized to develop and validate the 30-day readmission model. The model were evaluated using holdout data with the area under the receiver operating characteristic curve (AUROC), calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC). Results A total of 1899 patients were included, with 955, 409, and 535 in the derivation, internal validation, and external validation cohorts, respectively. Pulmonary infections (odds ratio [OR]: 3.816, 95% confidence interval [CI]: 2.377-6.128, P < 0.001), anti-hypertensive drug use (OR: 5.536, 95% CI: 1.658-18.486, P = 0.005), and neutrophil percentage-to-albumin ratio (NPAR) (OR: 1.144, 95% CI: 1.093-1.197, P < 0.001) were independent predictors of 30-day readmission risk. AUROC in the derivation, internal validation, and external validation cohorts were 0.782 (95% CI: 0.737-0.826), 0.746 (95% CI: 0.654-0.838), and 0.753 (95% CI: 0.684-0.813), respectively. The calibration curve, DCA results, and CIC results indicated that the model also possessed good predictive power. Additionally, an operation interface on a web page ( https://cqykdxtjt.shinyapps.io/readmission/ ) was created for clinical practitioners to apply. Conclusion A 30-day readmission risk prediction model was developed and externally validated. This model facilitates the targeting of interventions for elderly T2DM patients complicated with HF who are at high risk of an early readmission.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gjgy完成签到,获得积分10
2秒前
Shandongdaxiu完成签到 ,获得积分10
2秒前
老实的初露完成签到,获得积分20
8秒前
筱筱完成签到 ,获得积分10
22秒前
DH完成签到 ,获得积分10
25秒前
CY完成签到,获得积分10
26秒前
王高兴完成签到,获得积分10
27秒前
Chatgpt完成签到,获得积分10
50秒前
儒雅的如松完成签到 ,获得积分10
50秒前
海耀完成签到,获得积分10
51秒前
wy完成签到 ,获得积分10
52秒前
踏实的书包完成签到,获得积分10
52秒前
Echo1128完成签到 ,获得积分0
54秒前
简爱完成签到 ,获得积分10
58秒前
Lauren完成签到 ,获得积分10
1分钟前
plz94完成签到 ,获得积分10
1分钟前
小情绪完成签到 ,获得积分0
1分钟前
RaeganWehe完成签到,获得积分10
1分钟前
gincle完成签到,获得积分10
1分钟前
沸石完成签到 ,获得积分10
1分钟前
翰飞寰宇完成签到 ,获得积分10
1分钟前
MadysonKotrba完成签到,获得积分10
1分钟前
1分钟前
FFFFF完成签到 ,获得积分10
1分钟前
唐飒发布了新的文献求助10
1分钟前
MatildaDownman完成签到,获得积分10
1分钟前
航行天下完成签到 ,获得积分10
1分钟前
isedu完成签到,获得积分0
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
ning完成签到,获得积分10
1分钟前
崔京成完成签到 ,获得积分10
1分钟前
玺青一生完成签到 ,获得积分10
1分钟前
DarianaEderer完成签到,获得积分10
1分钟前
害怕的冰颜完成签到 ,获得积分10
1分钟前
Kelly完成签到,获得积分10
1分钟前
林韵悠扬完成签到 ,获得积分10
1分钟前
qausyh完成签到,获得积分10
1分钟前
mountainbike完成签到,获得积分10
1分钟前
Scorpia112应助Yipeng98采纳,获得10
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6523218
求助须知:如何正确求助?哪些是违规求助? 8316260
关于积分的说明 17793719
捐赠科研通 5625223
什么是DOI,文献DOI怎么找? 2928180
邀请新用户注册赠送积分活动 1904872
关于科研通互助平台的介绍 1765054