International Journal Of Scientific Research
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Browsing International Journal Of Scientific Research by Author "A, Sharath"
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Item Most Common ECG Changes In Diagnosed Case Of Diabetic Ketoacidosis(Indian Society for Health and Advanced Research, 2024-12) Byrappa, Varun; Mustare, Sangamesh; A, Sharath; A, Anup Kumar Roy; R, Kishore; T, LipikaIntroduction: Diabetic Ketoacidosis (DKA) is a severe complication of diabetes mellitus. Despite advances in care, managing DKA remains challenging due to potential complications and varied clinical presentations. Electrocardiogram (ECG) changes in DKA are of growing interest as potential prognostic indicators, given their association with electrolyte imbalances and cardiac dysfunction. This retrospectiveMethods: observational study analysed ECG findings from DKA patients at KIMS, Bangalore, India. Inclusion criteria comprised diagnosed DKA cases meeting predefined criteria, excluding those with predisposing conditions or medications affecting ECG. Ethical clearance was obtained, and sample size calculated based on previous studies. Data collection includes demographic, clinical and ECG parameters, analysed using statistical tools. A total of 35 patients were included, with a gender distribution of 57.1% females and 42.9% males. Most patients (83.0%) exhibitedResults: sinus tachycardia, with normal sinus rhythm (NSR) in 14.0% and sinus bradycardia in 3.0%. The prevalence of ECG abnormalities included normal P waves (85.0%), narrow QRS complexes (94.0%), and flat T waves (43.0%). Associations between ECG parameters and patient outcomes were assessed, revealing no significant associations between rate/rhythm, P wave changes, QRS complex changes, T wave changes, PR interval changes, QTc interval changes, and patient outcomes (p > 0.05 for all). Despite the prevalence of ECG abnormalities in DKA patients,Conclusion: no significant associations were found between these parameters and patient outcomes. These findings highlight the complexity of DKA management and the need for further research to elucidate the role of ECG changes as prognostic indicators. Understanding these relationships may lead to improved risk assessment and management strategies for DKA patients, ultimately enhancing clinical outcomes and reducing mortality.