IntroductionEnd-stage renal disease (ESRD) has increased in India due to the growing load of non-communicable diseases. The most prevalent psychological issue among these patients has been identified as depression, which may have an impact on treatment success. Around 20% to 90% of hemodialysis patients experience depression. The current study aimed to determine the prevalence of depression among patients undergoing hemodialysis as well as the relationship between this condition and the sociodemographic and clinical parameters of the patients. MethodsBasic demographic information and particulars of chronic morbidity, duration, and the number of cycles of hemodialysis per week were noted. The Beck Depression Inventory (BDI) score was administered to screen for depression. ResultsA total of 92 participants were enrolled in the study; 69 (75%) were males. The mean age of participants was 52 years. Hypertension (100%) was the most common co-morbidity followed by diabetes mellitus (38%). The mean duration of chronic kidney disease was 3.9 years. The majority (68.5%) had hemodialysis twice per week. Forty-one percent (41%) screened positive for borderline clinical depression or more. The mean BDI score was 17.07. The number of hemodialyses per week had a significant relation with depression with an odds ratio of 4.16 and 95% CI of 1.4-12.38. ConclusionDepression is prevalent among patients with chronic kidney disease who are on dialysis. The management of this preventable illness demands a repertoire of measures such as launching a program for the detection and treatment of depression combining psychiatric professionals and social volunteer organizations.

The coronavirus disease (COVID-19) pandemic has incurred high costs for the entire planet. The complex interactions between the host, virus, and environment have resulted in various clinical outcomes. It is crucial to comprehend sickness severity and outcome predictors to provide early preventative measures for a better outcome. The current study aimed to determine the association of clinical and inflammatory profiles with the outcome of COVID-19 infection in patients admitted to the intensive care unit. MethodsThis retrospective study was done in patients admitted to intensive care units for COVID-19 with a positive reverse transcriptase polymerase chain reaction (RTPCR) assay. A total of 125 patients above 18 years were included in the study. The patient's age, gender, and co-morbidities like type 2 diabetes mellitus, hypertension, respiratory illness, and coronary artery disease were noted. The patient's symptomatology, vital signs, oxygen saturation (Spo2), need for inotropes, and non-invasive positive pressure ventilator support (NIPPV) were observed. Computed tomography severity score (CTSS) and hematological and inflammatory parameters at the time of admission were noticed. Patient's management and treatment outcomes as survivors and non-survivors were noted. ResultsThe mean age was significantly greater in non-survivors. The common symptoms were fever, respiratory distress, cough, muscle pain, and sore throat. The leucocyte count, C-reactive protein (CRP), urea, creatinine, interleukin-6 (IL-6), and lactate dehydrogenase (LDH) were greater, and platelet counts were lower significantly in the non-survivors group. On multivariable logistic regression, CT severity score, NIPPV, and IL-6 had an odds ratio of 1.17, 0.052, and 1.03, respectively. IL-6 had a sensitivity of 81.5% and a specificity of 81.8% with a cut-off value of 37.5. ConclusionVigilant monitoring of leucocyte count, CRP, urea, creatinine, IL-6, LDH, platelet count, and CT severity score is essential for managing COVID-19 infection. IL-6 was found to be a significant marker as a predictor of outcome in our study.