Risk Assessment of COVID-19 Infection among the Elderly Population.

Introduction:Elderly patients are susceptible to COVID-19 infection. They usually present with atypical symptoms and multiple organ dysfunction. The poor outcome in elderly patients is due to multiple comorbidities, declining functional status, and frailty. This study aimed to assess the risk profile of COVID-19 infection in the elderly population. Materials and methods:Patients aged 60 years and above with COVID-19 positive by RT-PCR were included in the study. Patients' demographic data, co-morbidities and severity of illness, complete hemogram, blood sugar, renal, liver function test, lactate dehydrogenase, interleukin-6, ferritin, D-dimer were noted. Patients' outcome in terms of survival was observed. Results:The total count, neutrophil lymphocyte ratio, ESR, urea, creatinine, interleukin 6, D-dimer, and blood sugar value were significantly associated with non-survival even after adjustment for age and gender. Complications such as acute kidney injury (AKI), renal failure, acute respiratory distress syndrome, multiorgan dysfunction syndrome (MODS), and World Health Organization (WHO) severity were also associated with non-survival before and after adjustment for age and gender. On Cox regression survival analysis, . three co-morbidities had hazard ratio (HR) of 54.36 [95% CI 3.66 to 807.01], WHO severity had HR of 31.09 [95% CI 1.31 to 738.22], MODS had HR of 16.97 [95% CI 2.86 to 100.39], creatinine had HR of 8.44 [95% CI 1.99 to 35.77], AKI had HR of 6.71 [95% CI 1.11 to 40.56]. Conclusion:In elderly patients with COVID-19 infection, the presence of at least three co-morbidities, severity of infection by WHO criteria and presence of complications such as MODS, elevated creatinine and AKI were predictors of the survival rate and mortality.

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.

COVID-19 and Dementia; Hard to Forget Yet Haunting Forgetfulness!

The current pandemic has affected almost everyone worldwide. Although the majority of people survive the illness, bad cognitive repercussions might last a long time, resulting in a lower quality of life and disability, particularly in severe cases. We tried to understand and bring together the various possible mechanisms leading to dementia in COVID-19. The link between COVID-19 and dementia will help public health workers plan and allocate resources to provide better care for a community suffering from sickness and improve quality of life. A conceptual framework for care of infected people in the older age group and care of dementia people is proposed.

Nipah amidst Covid-19 Pandemic, another Re-Emerging Infectious Disease of Pandemic Potential - a Narrative Review.

Introduction: Nipah virus (NiV) was reported for the first time from the Kampung Sungai Nipah village of Malaysia in 1998. Since then, there have been multiple outbreaks, all of them in South- and South-East Asia. According to the World Health Organization (WHO), up to 75% of Nipah infections were proven to be fatal. Nipah virus belongs to the group of Biosafety Level-4 pathogen associated with high case fatality rate (40-75%). Methodology:According to the PRISMA guidelines for 2020, we searched in four medical databases (PubMed, Google Scholar, EMBASE and Scopus) and selected relevant studies from the past twenty years till November 2021. Review:Nipah virus was first detected in Malaysia's Kampung Sungai Nipah in 1998. By May 1999, the Malaysia Ministry of Health in association with the Centers for Disease Control (CDC) reported a total of 258 cases with a case fatality rate of almost 40%. Nipah in Kozhikode:Experts from the Pune Institute and Bhopal's National Institute of High Security Animal Diseases had collected Bat samples from Pazhoor in Chathamangalam gram panchayat (where a 12-year-old died due to Nipah infection on September 5 carried antibodies of the virus). All Indian outbreaks have seen person-to-person transmission. The virus found in Kerala differed from those two variants in terms of genetic structure. It also differed by 1.96% from the Bangladesh variant. The difference with the Malaysian variant was 8.42%. While PCR is the most sensitive technique for diagnosing active NiV infection, NiV-specific IgM ELISA offers a serological option when PCR is not available. Conclusions:Understanding the fruit bat ecology, NiV illness seasonality, and the transmission risk of various intermediate species requires a One Health approach. The danger of reintroduction into animal or human populations cannot be handled without a thorough understanding of the wildlife reservoir.