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Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method.
Sharafi, Mehdi; Mohsenpour, Mohammad Ali; Afrashteh, Sima; Eftekhari, Mohammad Hassan; Dehghan, Azizallah; Farhadi, Akram; Jafarnezhad, Aboubakr; Zakeri, Abdoljabbar; Looha, Mehdi Azizmohammad.
Afiliación
  • Sharafi M; Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Mohsenpour MA; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Afrashteh S; Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Eftekhari MH; Department of Biostatistics and Epidemiology, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran. sima.afrashte3@gmail.com.
  • Dehghan A; Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Farhadi A; Non-communicable disease research center, Fasa University of Medical Sciences, Fasa, Iran.
  • Jafarnezhad A; The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
  • Zakeri A; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Looha MA; Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
BMC Med Inform Decis Mak ; 24(1): 246, 2024 Sep 03.
Article en En | MEDLINE | ID: mdl-39227824
ABSTRACT

BACKGROUND:

The worldwide prevalence of type 2 diabetes mellitus in adults is experiencing a rapid increase. This study aimed to identify the factors affecting the survival of prediabetic patients using a comparison of the Cox proportional hazards model (CPH) and the Random survival forest (RSF).

METHOD:

This prospective cohort study was performed on 746 prediabetics in southwest Iran. The demographic, lifestyle, and clinical data of the participants were recorded. The CPH and RSF models were used to determine the patients' survival. Furthermore, the concordance index (C-index) and time-dependent receiver operating characteristic (ROC) curve were employed to compare the performance of the Cox proportional hazards (CPH) model and the random survival forest (RSF) model.

RESULTS:

The 5-year cumulative T2DM incidence was 12.73%. Based on the results of the CPH model, NAFLD (HR = 1.74, 95% CI 1.06, 2.85), FBS (HR = 1.008, 95% CI 1.005, 1.012) and increased abdominal fat (HR = 1.02, 95% CI 1.01, 1.04) were directly associated with diabetes occurrence in prediabetic patients. The RSF model suggests that factors including FBS, waist circumference, depression, NAFLD, afternoon sleep, and female gender are the most important variables that predict diabetes. The C-index indicated that the RSF model has a higher percentage of agreement than the CPH model, and in the weighted Brier Score index, the RSF model had less error than the Kaplan-Meier and CPH model.

CONCLUSION:

Our findings show that the incidence of diabetes was alarmingly high in Iran. The results suggested that several demographic and clinical factors are associated with diabetes occurrence in prediabetic patients. The high-risk population needs special measures for screening and care programs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estado Prediabético / Modelos de Riesgos Proporcionales / Diabetes Mellitus Tipo 2 Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estado Prediabético / Modelos de Riesgos Proporcionales / Diabetes Mellitus Tipo 2 Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido