ArticleJournal of the ASEAN Federation of Endocrine Societies2018
Seventy-Two Hour Mortality Prediction Model in Patients with Diabetic Ketoacidosis: A Retrospective Cohort Study.
Article in Journal of the ASEAN Federation of Endocrine Societies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- COVID-19 and diabetic ketoacidosis: National outcomes, predictors, and resource utilization in the United States.Journal of diabetes investigation · 2026Article
- Predictors of 7-day mortality in critically ill patients with hyperglycemic crisis : A single center retrospective analysis.Wiener klinische Wochenschrift · 2025Article
- Routine Laboratory Tests Predict 72-h Fatality in Patients With D-Dimer Levels ≥ 2 μg/mL: A Retrospective Cohort Study Comparing Statistical and Machine Learning Models.Journal of clinical laboratory analysis · 2025Article
- Emergency department early mortality model for patients admitted after presenting to a tertiary medical center emergency department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025Article
- A cross-sectional analysis of patient-based records on mortality among patients with diabetic ketoacidosis in a tertiary hospital in Ghana.Ghana medical journal · 2025Article
- Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches.BMC endocrine disorders · 2025Article
- Predictors and Predictive Score of In-Hospital Mortality in Diabetic Ketoacidosis: A Retrospective Cohort Study.Medicina (Kaunas, Lithuania) · 2024Article
- Associations between Late Lactate Clearance and Clinical Outcomes in Adults with Hyperlactataemia in the Setting of Diabetic Ketoacidosis.Journal of clinical medicine · 2024Article
- Projection of diabetes morbidity and mortality till 2045 in Indonesia based on risk factors and NCD prevention and control programs.Scientific reports · 2024Article
- Clinical nomogram prediction model to assess the risk of prolonged ICU length of stay in patients with diabetic ketoacidosis: a retrospective analysis based on the MIMIC-IV database.BMC anesthesiology · 2024Article
- Clinical profile of patients with diabetic ketoacidosis and hyperglycemic hyperosmolar syndrome in Japan: a multicenter retrospective cohort study.Acta diabetologica · 2024Article
- Clinical and biochemical predictors of intensive care unit admission among patients with diabetic ketoacidosis.World journal of diabetes · 2023Article
- A retrospective cross-sectional study for predicting 72-h mortality in patients with serum aspartate aminotransferase levels ≥ 3000 U/L.Scientific reports · 2021Article
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Abstract
objectiveThis study aims to identify predictors of 72-hour mortality in patients with diabetic ketoacidosis (DKA). METHODOLOGY: In this retrospective cohort study, data were obtained from medical records of adult patients with DKA in Cipto Mangunkusumo General Hospital from January 2011 to June 2017. Associations of predictors (age, type of diabetes, history of DKA, comorbidities, level of consciousness, renal function, bicarbonate, potassium, lactate, betahydroxybutyrate levels, and anion gap status) and 72-hour mortality were analyzed. The mortality prediction model was formulated by dividing the coefficient B by the standard error for all variables with
resultsEighty-six of 301 patients did not survive 72 hours after hospital admission. Comorbidities (HR 2.407; 95% CI 1.181-4.907), level of consciousness (HR 10.345; 95% CI 4.860-22.019), history of DKA (HR 2.126; 95% CI 1.308-3.457), and lactate level (HR 5.585; 95% CI 2.966-10.519) were significant predictors from multivariate analysis and were submitted to the prediction model. The prediction model had good performance. Patients with total score less than 3 points were at 15.41 % risk of mortality, 3 - 4 points were 78.01% and 5 - 6 points were 98.22% risk of mortality.
conclusionThe 72-hour mortality rate in Cipto Mangunkusumo General Hospital was 28.57%. The mortality prediction model had a good performance and consisted of comorbidities, history of DKA, level of consciousness and lactate level.
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