A Prediction Model of Mortality in Patients Hospitalized with Diabetic Ketoacidosis in a Tertiary Referral Hospital in Surabaya, Indonesia

Hermina Novida, - and Fajar Setiyawan, - and Soebagijo Adi Soelistijo, - (2021) A Prediction Model of Mortality in Patients Hospitalized with Diabetic Ketoacidosis in a Tertiary Referral Hospital in Surabaya, Indonesia. Indian Journal of Forensic Medicine & Toxicology, 15 (2). pp. 2519-2526. ISSN 0973-9122

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Abstract

Background: The mortality rate of diabetic ketoacidosis (DKA) remains high in Indonesia. Different patterns were contributing to DKA mortality from previous studies. We aim to identify clinical and laboratory findings as mortality predictors of DKA. Methods: This retrospective study was conducted in a tertiary referral hospital in Surabaya. Medical records of DKA patients from January 2016 to December 2018 were analyzed. Clinical and laboratory data were obtained from medical records for three years period. Clinical outcome was defined as either discharged home or death. Results: Fifty-six among 116 DKA patients did not survive during hospitalized. Age of 60 or older, the depressed mental state with GCS below 13, potassium serum less than 3.5 mmol/L, and bicarbonate serum less than 15 mmol/L are found to be significant as independent factors of mortality in DKA patients. Conclusion: The mortality rate of DKA patients in this study is still high. It independently associated with the age of 60 years or older, depressed mental state, hypokalemia, and low bicarbonate level. Early stratification of these predictors would help to treat patients accordingly.

Item Type: Article
Uncontrolled Keywords: prediction model, mortality, diabetic ketoacidosis
Subjects: R Medicine > RC Internal medicine > RC31-1245 Internal medicine
Divisions: 01. Fakultas Kedokteran > Ilmu Penyakit Dalam
Creators:
CreatorsNIM
Hermina Novida, -NIDN0012117705
Fajar Setiyawan, -NIM011328026315
Soebagijo Adi Soelistijo, -NIDN8837500016
Depositing User: Miftachul Miftachul Mujayanah Mifta
Date Deposited: 12 Jun 2023 11:32
Last Modified: 12 Jun 2023 11:32
URI: http://repository.unair.ac.id/id/eprint/127229
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