Analyzing the Outcomes of COVID-19 Infection on Patients With Comorbidities: Insights From Hospital-Based Study

Introduction COVID-19 exhibits a broad spectrum of clinical manifestations, ranging from asymptomatic or mild cases to severe respiratory distress and, in some instances, fatal outcomes. The pre-existing inflammatory state in the patient prior to exposure to COVID-19, which could be because of any etiology or comorbidity, has been associated with prolonged morbidity, and adverse outcomes like increased mortality have been found. This study endeavors to investigate the principal risk factors linked to the morbidity and mortality of COVID-19, such as age, gender, and co-morbidities such as hypertension, diabetes mellitus, and others. Material and methods Patient demographic data like age, gender, and co-morbidities like diabetes mellitus, hypertension, respiratory illness, and coronary artery diseases, cerebrovascular accident was observed. The patient clinical profile, hematological, inflammatory markers at the time of admission, and outcome were noticed. Patients were divided into two groups - patients with comorbidity and those without comorbidity. Results In each cohort of COVID-19 patients, comprising those with and without comorbidities, there were 145 participants. The mean age of patients without comorbidities was found to be 49.97 years, whereas the mean age of those with comorbidities was 64.35 years. Within the comorbidity group, males formed the majority, accounting for 77.2% of the cohort; in the group without comorbidity also males predominated, representing 68.3% of the participants. Hypertension was the most common co-morbidity (89.7%), followed by diabetes mellitus (39.3%), and ischemic heart disease (8.3%). The multivariate logistic regression analysis for prediction of mortality showed hypothyroidism with odds ratio (OR) of 336.26 and confidence intervals (CI) (1.19-9477.13), ischemic heart disease with OR of 320.94 (CI 3.19-3237.4) and presence greater than two co-morbidities with OR of 42.14 (CI 1.34-1325.76). Cox regression analysis showed a statistically significant hazard ratio of 0.294 in patients with greater than two co-morbidities. Conclusion Hypothyroidism, ischemic heart disease, and the presence of multiple comorbid conditions were associated with the severity of COVID-19 illness and mortality.

Extra-intestinal salmonellosis in a tertiary care centre in South India

Background and Objectives

Extra-intestinal salmonellosis is associated with higher case fatality and is underestimated in the developing countries like India. Here we present a case series of bacteriologically proven extra-intestinal salmonellosis managed at our institute over the past two years.

Materials and Methods

Retrospective analysis of bacteriologically proven extra-intestinal salmonellosis over two years between January 2020 to December 2021 was carried out. Medical records were reviewed for site of infection, evidence of any underlying or predisposing illnesses and antimicrobial susceptibility report.

Results

Eight patients were diagnosed with extra-intestinal salmonellosis. Male to female ratio was 3:1. Mean age was 44 years. Four were typhoidal and four were nontyphoidal Salmonellae. The extra-intestinal sites involved were purulent aspirates from scrotum, caecum, perianal region, intraperitoneal collection, synovium, and urine. Predisposing factors include chronic myeloid leukemia, HIV and gastric malignancy. All deep seated abscess required surgical intervention. All typhoidal Salmonella (n=4) were sensitive to cotrimoxazole, ampicillin, ceftriaxone. Among nontyphoidal Salmonella, one was resistant to cotrimoxazole; two were resistant to ampicillin, ceftriaxone and three resistant to ciprofloxacin.

Conclusion

The diagnosis of extra-intestinal salmonellosis requires a high degree of clinical suspicion and should be included in the differential diagnosis in patients with deep-seated abscesses.

Understanding the need for developing a structured competency-based curriculum for health policy and programs among community medicine postgraduates: A grounded theory approach

Introduction

Many plans and policy changes about health outcomes have evolved, but none of them have ever given a definite shape to the postgraduate (PG) curriculum so as to make it more intensive and integrative, which needs to be so structured and tailored that it is more patient, community centric, and less knowledge based.

Objectives

The objective of this study was to identify the gap in existing curriculum in learning of health policy and program among PGs of community medicine and recommend a structured model for the same.

Materials and Methods

A qualitative study (grounded theory approach) with all PGs of community medicine in one teaching institute in South India (8 PG students) was taken up.

Results

PGs felt that they never had any day-to-day update. They wanted to understand the working pattern and ground reality of policy and program which was unavailable to them. People who came to postgraduation after being medical officers felt that the monitoring and evaluation done by inexperienced MD Community Medicine students was never accepted by state public health because they did not understand the implementation problems and so could not rightly critically evaluate the programmatic challenges.

Conclusion

With the shift in medical education patterns and expectations of residents, it becomes important to justify the need of developing a structured based curriculum, more so for policy and programs, which will make them capable enough by polishing their managerial and financial skill set. The evaluation technique should focus more on practical aspects on field instead of their theory examination.

Clinical and Inflammatory Profile of COVID-19 Infection at a Tertiary Care Centre in Northern Part of Tamil Nadu – A Retrospective Study

Introduction

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.

Methods

This 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.

Results

The 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.

Conclusion

Vigilant 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.