The Bidirectional Burden: Renal Dysfunction as a Prognostic Marker in Acute Stroke Patients at BMC Hospital Quetta
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Renal dysfunction is a prevalent comorbidity in acute stroke patients. This study aimed to evaluate the frequency, severity, and prognostic implications of renal impairment in individuals with acute ischemic and hemorrhagic strokes. Methods: This observational, hospital-based cohort study was performed at BMC Hospital Quetta from March 2024 to December 2024, enrolling 140 patients with acute stroke. Renal dysfunction was characterized by an eGFR of less than 60 mL/min/1.73m² or acute kidney injury (AKI) according to KDIGO criteria. Statistical analysis encompassed comparison testing, correlation, and multivariate logistic regression, while controlling for confounding variables. Results: Patients with renal failure (n=56, 40%) were substantially older (68.5±10.2 vs. 62.1±13.5 years; p=0.003) and exhibited elevated rates of hypertension (80.4 vs. 50.0; p=0.01) and diabetes (62.5 vs. 20.2; p=0.02). They demonstrated increased stroke severity (median NIHSS 15 against 10; p=0.001) and higher infarct sizes (32.4±20.1 versus 20.1±15.3 cm³; p=0.004). Renal failure correlated with markedly elevated in-hospital mortality (32.1 vs. 4.8; p=0.001), 30-day mortality (44.6 vs. 10.7; p=0.002), heightened functional disability at discharge (98.2 vs. 37.7; p=0.005), and extended hospital stays (12 vs. 8 days; p=0.003). Multivariate analysis revealed renal dysfunction as an independent predictor of death (adjusted OR: 3.8, 95% CI: 1.9–7.6; p=0.001). Conclusion: Renal failure serves as a critical and independent prognostic indicator for unfavorable outcomes in acute stroke patients, associated with heightened stroke severity, elevated mortality, and increased disability. Timely recognition and customized therapy of renal impairment are essential to enhance outcomes in this at-risk population.
Authors: Amanullah Kakar, Muhammad Qahir, Ihsan ul Haq, Ainullah Kakar, Riaz Ahmed, Abdul Bari Nasar, Muhammad Essa
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4411040978