A retrospective study on comparison of clinical characteristics and outcomes of diabetic ketoacidosis patients with and without acute pancreatitis

The co-existence of diabetic ketoacidosis (DKA) with acute pancreatitis (AP) is associated with unfavorable clinical outcomes. However, diagnosing AP in DKA patients is challenging and often missed due to overlapping symptoms. The aim of this retrospective observational study was to compare the clin...

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Bibliographic Details
Published in:Scientific reports 2023-03, Vol.13 (1), p.4347-4347, Article 4347
Main Authors: Khan, Adeel Ahmad, Ata, Fateen, Yousaf, Zohaib, Aljafar, Mohamad Safwan, Seijari, Mohammed Najdat, Matarneh, Ahmad, Dakkak, Bassel, Halabiya, Malik, Muthanna, Bassam, Maliyakkal, Abdul Majeed, Kartha, Anand
Format: Article
Language:English
Subjects:
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Acute Disease
Bicarbonates
Cholesterol
Clinical outcomes
Creatinine
Diabetes
Diabetes Mellitus
Diabetic ketoacidosis
Diabetic Ketoacidosis - complications
Diabetic Ketoacidosis - therapy
Electronic medical records
Hemoglobin
Humanities and Social Sciences
Humans
Ketoacidosis
Leukocytes (neutrophilic)
Low density lipoprotein
Lymphocytes
Male
multidisciplinary
Observational studies
Pancreatitis
Pancreatitis - complications
Patients
Regression analysis
Retrospective Studies
Science
Science (multidisciplinary)
Statistical analysis
Urea
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Summary:The co-existence of diabetic ketoacidosis (DKA) with acute pancreatitis (AP) is associated with unfavorable clinical outcomes. However, diagnosing AP in DKA patients is challenging and often missed due to overlapping symptoms. The aim of this retrospective observational study was to compare the clinical characteristics and outcomes of patients with concomitant DKA and AP or DKA alone. Data of patients with DKA admitted between January 2015 to August 2021 to four hospitals in Qatar was extracted from the electronic health record (Cerner). American Diabetes Association criteria and Atlanta criteria were used for DKA and AP diagnosis, respectively. Independent T-test or Mann–Whitney U test was used to analyze continuous variables, whereas categorical variables were analyzed via Chi-square or Fischer exact tests as appropriate. Univariate and multivariate logistic regression models were generated to assess the correlations. A p-value of 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-31465-3