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Objective This study aimed to assess the beneficial effects of N-acetylcysteine (NAC) in the treatment of contrast-induced nephropathy (CIN). Materials and Methods A prospective study was conducted in the department of cardiology of a tertiary health care hospital. A sample of 100 patients who had developed CIN through coronary angioplasty were categorized into two groups: one group treated with intravenous fluids (IVF) monotherapy and the other group treated with the combination of IVF and NAC therapy. Statistical Analysis The data were analyzed using statistical software SPSS software version 26 and statistical significance was set at p < 0.05. Independent t -test and paired t -test were used to analyze the parameters. Results The rate of incidence of CIN was found to be 10%. We observed that the IVF + NAC combination therapy significantly decreases the serum creatinine compared to IVF monotherapy (p = 0.004). Both therapies show similar treatment outcomes with no significant difference (p = 0.556) in the case of estimated glomerular filtration rate (eGFR). Based on creatinine clearance, the results show adding NAC does not impact any additional benefits (p = 000). The duration of hospital stay of the NAC group was reduced significantly (p = 0.000). Conclusion At present, we found that the treatment outcomes which we analyzed based on factors such as serum creatinine, eGFR, and creatinine clearance, are too inconsistent to conclude the beneficial effect of NAC in the management of CIN. [ABSTRACT FROM AUTHOR]

Background Patients with pre-existing chronic medical conditions with altered immunity are prone to COVID-19-associated mucormycosis (CAM). Objective In this study, our objectives were to identify the risk factors that increase the chances of developing CAM and to determine the severity of the risk factors of CAM. Thereby, we can optimize the modifiable risk factors for developing CAM in coronavirus disease 2019 (COVID-19) patients. For instance, better control of blood glucose levels in COVID-19 patients can decrease the risk of developing CAM. Materials and Methods The data was collected retrospectively from 1000 COVID-19 infected patients, above the age of 18 years during the time period of March 2021 to August 2021, in which 86 patients had confirmed CAM. Statistical Analysis Binary logistic regression and curve estimation analysis were performed using SPSS software version 29 for identifying the associated risk factors of CAM with the significance of p -value less than 0.05. Results Factors such as severe inflammation (p = 0.048), high dose of steroid administration (p = 0.005), increasing age (p < 0.001), and prolonged hospital stay (p < 0.001) were statistically proven to be significant risk factors, associated with CAM. Conclusion Increasing age, severe inflammation, high dose of steroid administration, and prolonged hospital stay have association with occurrence of CAM. [ABSTRACT FROM AUTHOR]