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Introduction Acute kidney injury (AKI) is a complex condition marked by rapid deterioration of renal function (within hours or days), with clinical symptoms ranging from a minor rise in serum creatinine to anuric renal failure needing renal replacement therapy. AKI is one of the complications of acute coronary syndrome (ACS). This study aims to determine the frequency of AKI among patients with ACS and identify its predictors. Method This study is a retrospective observational study conducted at the Dow University of Health Sciences, a tertiary care hospital located in Karachi, Pakistan. This study was conducted from January 2020 to June 2021. All patients aged 18-75 years admitted with ACS and admitted for more than 48 hours were included in the study. A pre-set questionnaire was used to collect data from the hospital management information system (HMIS). Results The frequency of AKI among patients with ACS was 24.18%. The factors associated with AKI among patients with ACS on multivariable logistic regression included the age of patients (odds ratio (OR) = 1.04, p-value = 0.018), having diabetes mellitus (OR = 2.33, p-value = 0.031), admission Killip ≥ II (OR = 2.12, p-value = 0.041), previous history of myocardial infarction (MI) (OR = 3.64, p-value = 0.001), baseline glomerular filtration rate (GFR) (OR = 0.94, p-value = 0.001), in-hospital ejection fraction (EF) (OR = 0.93, p-value = 0.001), and serum creatinine at admission (OR = 1.02, p-value = 0.001). Conclusion Age, comorbidities including diabetes mellitus and previous history of MI, admission Killip ≥ II, baseline GFR, in-hospital EF, and serum creatinine level at admission are significant independent predictors of AKI in patients with ACS.
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[This retracts the article DOI: 10.7759/cureus.20751.].
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[This retracts the article DOI: 10.7759/cureus.21869.].
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Introduction Coronavirus disease 2019 (COVID-19) is a major social and economic challenge, devastating the health care system in several countries around the world. Mortality scores are important as they can help health care professionals to plan treatment as per the patients' condition for proper resource allocation. When it comes to patients, it provides invaluable information for implementing advance directives. The aim of the study is to validate mortality scores for predicting in-hospital mortality in patients with COVID-19. Methodology This was a retrospective cohort study that included data from three tertiary care hospitals in Karachi, Pakistan. Data of patients diagnosed with confirmed COVID-19 infection and hospitalized in Ziauddin Hospital, Aga Khan Hospital, and Liaquat National Hospital were enrolled in the study from November 1, 2020, to April 30, 2021. Data was extracted from the hospital management information system (HMIS) using a structured questionnaire. Results Overall, 835 patients were included in the final analysis. The mean age of patients was 53.29 (SD ± 15.17) years, and 675 patients (80.72%) were males. The sensitivity of the CALL score is highest among all four scores, i.e., 77.25%, and the quick Sequential Organ Failure Assessment (qSOFA) score has the lowest sensitivity (59.79%). However, CALL has the lowest specificity (58.04%), while qSOFA has the highest specificity (73.91%). However, MulBSTA and CRB-65 have a sensitivity of 70.11% and 64.96%, respectively. Conclusion The current study showed that the CALL score had better sensitivity as compared to other mortality scores.
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OBJECTIVE: To evaluate the histological effects of insulin, metformin and insulin-metformin combination on liver morphology in high fat diet (HFD) / Streptozotocin (STZ) induced diabetic albino rats. STUDY DESIGN: Experimental and comparative study. PLACE AND DURATION OF STUDY: Institute of Basic Medical Sciences (IBMS), Dow University of Health Sciences (DUHS), Ojha Campus, Karachi, from January to August 2012. METHODOLOGY: The study was conducted on 50 HFD/STZ induced diabetic albino wistar rats which were randomized into 5 groups. One of the groups was treated with insulin, one with metformin, and the other group with insulin-metformin combination for 4 weeks. One of the groups was left untreated. One group was control group. After the treatment period, the rats were sacrificed and livers were isolated, weighed, processed and stained to analyse the difference in hepatic morphology in each treated and untreated groups, then the results were compared with control rats. RESULTS: Statistically significant difference (p < 0.0001) was seen between the groups by using Kruskill Wallis Test. To further investigate the effectiveness of insulin, metformin and insulin-metformin combination, Mann-Whitney U-test was applied. Statistically significant difference was noticed when diabetic rats were given insulin-metformin combination (p < 0.0001). CONCLUSION: The combination therapy was observed to have better effects on liver morphology than insulin and metformin used separately.
