Development and validation of a nomogram of all-cause mortality in adult Americans with diabetes

被引:3
作者
Shen, Xia [1 ]
Zhang, Xiao Hua [2 ]
Yang, Long [3 ]
Wang, Peng Fei [4 ]
Zhang, Jian Feng [5 ]
Song, Shao Zheng [7 ]
Jiang, Lei [6 ]
机构
[1] Wuxi Taihu Univ, Sch Hlth & Nursing, Dept Nursing, 68 Qian Rong Rode, Wuxi, Peoples R China
[2] Wuxi Peoples Hosp, Cardiac Catheter Room,299 Qing Yang Rd, Wuxi 214000, Jiangsu, Peoples R China
[3] Xinjiang Med Univ, Affiliated Hosp 1, Dept Pediat Cardiothorac Surg, 137 Li Yu Shan Rd, Urumqi 830054, Peoples R China
[4] Fuzhou Univ Affiliated Prov Hosp, Dept Tradit Chinese Med, 134 East St, Fuzhou 350001, Peoples R China
[5] Taizhou Hosp Integrat Med, Res & Teaching Dept, 111 Jiang Zhou South Rd, Taizhou, Jiangsu, Peoples R China
[6] Convalescent Hosp East China, Dept Radiol, 67 Da Ji Shan, Wuxi 214065, Peoples R China
[7] Wuxi Taihu Univ, Sch Hlth & Nursing, Dept Basci, 68 Qian Rong Rode, Wuxi, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
Nomogram; LASSO regression; NHANES; Diabetes; Mortality; NEUTROPHIL-LYMPHOCYTE RATIO; NUTRITIONAL RISK INDEX; PREDICTS MORTALITY; TYPE-2; MELLITUS; DISEASE; BURDEN; MODELS; HEALTH;
D O I
10.1038/s41598-024-69581-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study aimed to develop and validate a predictive model of all-cause mortality risk in American adults aged >= 18 years with diabetes. 7918 participants with diabetes were enrolled from the National Health and Nutrition Examination Survey (NHANES) 1999-2016 and followed for a median of 96 months. The primary study endpoint was the all-cause mortality. Predictors of all-cause mortality included age, Monocytes, Erythrocyte, creatinine, Nutrition Risk Index (NRI), neutrophils/lymphocytes (NLR), smoking habits, alcohol consumption, cardiovascular disease (CVD), urinary albumin excretion rate (UAE), and insulin use. The c-index was 0.790 (95% CI 0.779-0.801, P < 0.001) and 0.792 (95% CI: 0.776-0.808, P < 0.001) for the training and validation sets, respectively. The area under the ROC curve was 0.815, 0.814, 0.827 and 0.812, 0.818 and 0.829 for the training and validation sets at 3, 5, and 10 years of follow-up, respectively. Both calibration plots and DCA curves performed well. The model provides accurate predictions of the risk of death for American persons with diabetes and its scores can effectively determine the risk of death in outpatients, providing guidance for clinical decision-making and predicting prognosis for patients.
引用
收藏
页数:14
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