Maria Sara Tapia Sanchiz, Victor Navas Moreno, Marta Lopez Ruano, Carmen Martínez Otero, Elena Carrillo López, Carolina Sager La Ganga, Juan José Raposo López, Selma Amar, Sara González Castañar, Jose Alfonso Arranz Martín, Mónica Marazuela, Fernando Sebastian-Valles
{"title":"Clinical and prognostic differences in diabetic ketoacidosis between type 2 and type 1 diabetes","authors":"Maria Sara Tapia Sanchiz, Victor Navas Moreno, Marta Lopez Ruano, Carmen Martínez Otero, Elena Carrillo López, Carolina Sager La Ganga, Juan José Raposo López, Selma Amar, Sara González Castañar, Jose Alfonso Arranz Martín, Mónica Marazuela, Fernando Sebastian-Valles","doi":"10.1016/j.medcle.2025.106973","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>The aim of this study was to analyse the differences in diabetic ketoacidosis (DKA) between type 2 diabetes (T2D) and type 1 diabetes (T1D) in a Spanish cohort.</div></div><div><h3>Materials and methods</h3><div>This retrospective cohort study included all cases of DKA between 2010 and 2024 in a Spanish tertiary hospital. Clinical and laboratory variables were collected to identify differences between DKA in T2D and T1D. Logistic regression models were used to evaluate 30-day mortality following a DKA event.</div></div><div><h3>Results</h3><div>A total of 249 subjects (52.2% female) with a mean age of 50.2<!--> <!-->±<!--> <!-->19.9 years were included. Eighty-nine patients (35.7%) had T2D, and 160 (64.3%) had T1D. A higher proportion of cardiovascular precipitating events was observed in the T2D group (12.5% vs. 3.2%, <em>p</em> <!-->=<!--> <!-->0.005), along with a more favorable blood gas profile, characterised by higher pH, bicarbonate levels, and lower ketone body concentrations (<em>p</em> <!--><<!--> <!-->0.05). However, 30-day mortality was 13.5% in T2D and 1.3% in T1D (<em>p</em> <!--><<!--> <!-->0.001). Logistic regression models identified cardiovascular events, lower Glasgow Coma Scale scores, and higher urea levels as predictors of mortality (<em>p</em> <!--><<!--> <!-->0.05), independent of age and diabetes type.</div></div><div><h3>Conclusion</h3><div>DKA in T2D is associated with a higher risk of mortality due to the severity of precipitating factors, despite a more favorable blood gas profile compared to T1D. Early identification of episodes is essential to prevent complications.</div></div>","PeriodicalId":74154,"journal":{"name":"Medicina clinica (English ed.)","volume":"165 1","pages":"Article 106973"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicina clinica (English ed.)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S238702062500302X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
The aim of this study was to analyse the differences in diabetic ketoacidosis (DKA) between type 2 diabetes (T2D) and type 1 diabetes (T1D) in a Spanish cohort.
Materials and methods
This retrospective cohort study included all cases of DKA between 2010 and 2024 in a Spanish tertiary hospital. Clinical and laboratory variables were collected to identify differences between DKA in T2D and T1D. Logistic regression models were used to evaluate 30-day mortality following a DKA event.
Results
A total of 249 subjects (52.2% female) with a mean age of 50.2 ± 19.9 years were included. Eighty-nine patients (35.7%) had T2D, and 160 (64.3%) had T1D. A higher proportion of cardiovascular precipitating events was observed in the T2D group (12.5% vs. 3.2%, p = 0.005), along with a more favorable blood gas profile, characterised by higher pH, bicarbonate levels, and lower ketone body concentrations (p < 0.05). However, 30-day mortality was 13.5% in T2D and 1.3% in T1D (p < 0.001). Logistic regression models identified cardiovascular events, lower Glasgow Coma Scale scores, and higher urea levels as predictors of mortality (p < 0.05), independent of age and diabetes type.
Conclusion
DKA in T2D is associated with a higher risk of mortality due to the severity of precipitating factors, despite a more favorable blood gas profile compared to T1D. Early identification of episodes is essential to prevent complications.