Frequency of Acute Kidney Injury and Its Short Term Effects after Acute Myocardial Infarction

Tilawat Khan; Shah Sawar Khan; Waseem Iqbal

doi:10.70749/ijbr.v3i7.1793

Authors

Tilawat Khan Department of Cardiology, Hayatabad Medical Complex, Peshawar, KP, Pakistan.
Shah Sawar Khan Department of Cardiology, Hayatabad Medical Complex, Peshawar, KP, Pakistan.
Waseem Iqbal Department of Cardiology, MTI - Lady Reading Hospital, Peshawar, KP, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v3i7.1793

Keywords:

Acute kidney Injury, Acute Myocardial Infarction, Atrial Fibrillation, Ventricular Tachycardia, Mortality

Abstract

Objective: To determine the frequency of acute kidney injury (AKI) in patients with acute myocardial infarction (AMI) and compare the short-term outcomes between AKI and non-AKI patients. Methodology: The study was conducted at Hayatabad Medical Complex, Peshawar, from October 20, 2024 to April 21, 2025, involving 134 AMI patients. Data were collected on demographics, comorbidities, AKI status, and short-term outcomes, including ventricular tachycardia, atrial fibrillation (AF), and in-hospital mortality (VT). AKI was defined as a serum creatinine increase of 0.5 mg/dL or more within 24 hours of admission. Results: The results showed that 25.4% (34 patients) developed AKI. In comparison to the non-AKI group, the AKI group exhibited a higher in-hospital mortality rate (28.07 %) (1.79 %). The frequency of AF was 33.8% in AKI patients and 17.5% in non-AKI patients, while VT was observed in 18.5% of AKI patients and 7.5% of non-AKI patients. The statistical study did not uncover any significant connection between AKI and in-hospital mortality, AF, or VT (p-values of 0.775, 0.429, and 0.488, respectively). Conclusion: AKI is prevalent in AMI patients, with higher mortality and arrhythmia rates in the AKI group. However, no statistically significant correlation was found between AKI and short-term outcomes. Future studies should focus on multicentre data, long-term follow-up, and the role of biomarkers in predicting AKI outcomes.

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