Profiling Cognitive Impairment in Mild COVID-19 Patients: A Case-Control Study at a Secondary Healthcare Centre in the Hilly Region of North India

Context: COVID-19 pandemic continues to be a serious threat to humanity even after the last 2.5 years and multiple reported waves. Post-COVID-19 cognitive impairment has a detrimental effect on the quality of life, education, occupation, psychosocial as well as adaptive functioning and independence. Aims and Objective: Profiling the cognitive impairment in the mild COVID-19 recovered patients. Settings and Design: Interview-based case-control study. Materials and Methods: This study was conducted at a secondary healthcare center in a hilly region of north India. Group A included mild COVID-19 recovered patients and Group B included local non-COVID healthy individuals. Both groups of participants were interviewed using Montreal Cognitive Assessment (MoCA) to identify global and domain-wise cognitive impairment. Statistics Used: Descriptive statistics were used to analyze the demographic and clinical variables. The Chi-square test was used to evaluate these results and statistical analysis was done using the Statistical Package for Social Sciences (version 23) program. Results: A total of 284 individuals were enrolled in our study, equally split into Groups A (cases) and B (controls). No global cognitive decline was found in any participant. However, 40 cases scored low on MoCA. The decrease in domain-wise cognitive function was statistically significant for visuospatial skill/executive function and attention. Conclusion: Our results have demonstrated that there is domain-wise cognitive impairment associated with mild COVID-19 disease. We recommend lowering the threshold of the MoCA to identify the early cognitive impairment and the inclusion of detailed cognitive assessment in post-COVID-19 follow-ups to initiate early cognitive rehabilitation among these patients.

Profiling Cognitive Impairment in Mild COVID-19 Patients: A Case-Control Study at a Secondary Healthcare Centre in the Hilly Region of North India.

Context: COVID-19 pandemic continues to be a serious threat to humanity even after the last 2.5 years and multiple reported waves. Post-COVID-19 cognitive impairment has a detrimental effect on the quality of life, education, occupation, psychosocial as well as adaptive functioning and independence. Aims and Objective: Profiling the cognitive impairment in the mild COVID-19 recovered patients. Settings and Design: Interview-based case-control study. Materials and Methods: This study was conducted at a secondary healthcare center in a hilly region of north India. Group A included mild COVID-19 recovered patients and Group B included local non-COVID healthy individuals. Both groups of participants were interviewed using Montreal Cognitive Assessment (MoCA) to identify global and domain-wise cognitive impairment. Statistics Used: Descriptive statistics were used to analyze the demographic and clinical variables. The Chi-square test was used to evaluate these results and statistical analysis was done using the Statistical Package for Social Sciences (version 23) program. Results: A total of 284 individuals were enrolled in our study, equally split into Groups A (cases) and B (controls). No global cognitive decline was found in any participant. However, 40 cases scored low on MoCA. The decrease in domain-wise cognitive function was statistically significant for visuospatial skill/executive function and attention. Conclusion: Our results have demonstrated that there is domain-wise cognitive impairment associated with mild COVID-19 disease. We recommend lowering the threshold of the MoCA to identify the early cognitive impairment and the inclusion of detailed cognitive assessment in post-COVID-19 follow-ups to initiate early cognitive rehabilitation among these patients.

Home-Based Physiological Monitoring of Patients with COVID-19.

The COVID-19 pandemic has necessitated the rise of telehealth modalities to relieve the incredible stress the pandemic has placed on the healthcare system. This rise has seen the emergence of new software, applications, and hardware for home-based physiological monitoring, leading to the promise of innovative predictive and therapeutic practices. This article is a literature-based review of the most promising technologies and advances regarding home-based physiological monitoring of patients with COVID-19. We conclude that the applications currently on the market, while helping stem the flow of patients to the hospital during the pandemic, require additional evidence related to improvement in patient outcomes. However, new devices and technology are a promising and successful venture into home-based monitoring with clinical implications reaching far into the future.

A Simple Clinical Prediction Tool for COVID-19 in Primary Care with Epidemiology: Temperature-Leukocytes-CT Results.

BACKGROUND Effective identification of patients with suspected COVID-19 is vital for the management. This study aimed to establish a simple clinical prediction model for COVID-19 in primary care. MATERIAL AND METHODS We consecutively enrolled 60 confirmed cases and 152 suspected cases with COVID-19 into the study. The training cohort consisted of 30 confirmed and 78 suspected cases, whereas the validation cohort consisted of 30 confirmed and 74 suspected cases. Four clinical variables - epidemiological history (E), body temperature (T), leukocytes count (L), and chest computed tomography (C) - were collected to construct a preliminary prediction model (model A). By integerizing coefficients of model A, a clinical prediction model (model B) was constructed. Finally, the scores of each variable in model B were summed up to build the ETLC score. RESULTS The preliminary prediction model A was Logit (YA)=2.657X1+1.153X2+2.125X3+2.828X4-10.771, while the model B was Logit (YB)=2.5X1+1X2+2X3+3X4-10. No significant difference was found between the area under the curve (AUC) of model A (0.920, 95% CI: 0.875-0.953) and model B (0.919, 95% CI: 0.874-0.952) (Z=0.035, P=0.972). When ETLC score was more than or equal to 9.5, the sensitivity and specificity for COVID-19 was 76.7% (46/60) and 90.1% (137/152), respectively, and the positive and negative predictive values were 75.4% (46/61) and 90.7% (137/151), respectively. CONCLUSIONS The ETLC score is helpful for efficiently identifying patients with suspected COVID-19.

COVID-19 Infection in Men on Testosterone Replacement Therapy.

BACKGROUND: Men who contract coronavirus disease 2019 (COVID-19) appear to have worse clinical outcomes compared with women which raises the possibility of androgen-dependent effects. AIM: We sought to determine if testosterone replacement therapy (TRT) is associated with worse clinical outcomes. METHODS: Through a retrospective chart review, we identified 32 men diagnosed with COVID-19 and on TRT. They were propensity score matched to 63 men diagnosed with COVID-19 and not on TRT. Data regarding comorbidities and endpoints such as hospital admission, intensive care unit admission, ventilator utilization, thromboembolic events, and death were extracted. Chi-square and Kruskal-Wallis tests examined differences in categorical and continuous variables, respectively. Logistic regression analysis tested the relationship between TRT status and the study endpoints. RESULTS: There were no statistically significant differences between the 2 groups, and TRT was not a predictor of any of the endpoints on multivariate analysis. CONCLUSION: These results suggest that TRT is not associated with a worse clinical outcome in men diagnosed with COVID-19. Rambhatla A, Bronkema CJ, Corsi N, et al. COVID-19 Infection in Men on Testosterone Replacement Therapy. J Sex Med 2021;18:215-218.

COVID-19 as an occupational disease.

The impact of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 permeates all aspects of society worldwide. Initial medical reports and media coverage have increased awareness of the risk imposed on healthcare workers in particular, during this pandemic. However, the health implications of COVID-19 for the global workforce are multifaceted and complex, warranting careful reflection and consideration to mitigate the adverse effects on workers worldwide. Accordingly, our review offers a framework for considering this topic, highlighting key issues, with the aim to prompt and inform action, including research, to minimize the occupational hazards imposed by this ongoing challenge. We address respiratory disease as a primary concern, while recognizing the multisystem spectrum of COVID-19-related disease and how clinical aspects are interwoven with broader socioeconomic forces.

Managing Urology Consultations During COVID-19 Pandemic: Application of a Structured Care Pathway.

OBJECTIVE: To describe and evaluate a risk-stratified triage pathway for inpatient urology consultations during the SARS-CoV-2 (COVID-19) pandemic. This pathway seeks to outline a urology patient care strategy that reduces the transmission risk to both healthcare providers and patients, reduces the healthcare burden, and maintains appropriate patient care. MATERIALS AND METHODS: Consultations to the urology service during a 3-week period (March 16 to April 2, 2020) were triaged and managed via one of 3 pathways: Standard, Telemedicine, or High-Risk. Standard consults were in-person consults with non COVID-19 patients, High-Risk consults were in-person consults with COVID-19 positive/suspected patients, and Telemedicine consults were telephonic consults for low-acuity urologic issues in either group of patients. Patient demographics, consultation parameters and consultation outcomes were compared to consultations from the month of March 2019. Categorical variables were compared using Chi-square test and continuous variables using Mann-Whitney U test. A P value <.05 was considered significant. RESULTS: Between March 16 and April 2, 2020, 53 inpatient consultations were performed. By following our triage pathway, a total of 19/53 consultations (35.8%) were performed via Telemedicine with no in-person exposure, 10/53 consultations (18.9%) were High-Risk, in which we strictly controlled the urology team member in-person contact, and the remainder, 24/53 consultations (45.2%), were performed as Standard in-person encounters. COVID-19 associated consultations represented 18/53 (34.0%) of all consultations during this period, and of these, 8/18 (44.4%) were managed successfully via Telemedicine alone. No team member developed COVID-19 infection. CONCLUSION: During the COVID-19 pandemic, most urology consultations can be managed in a patient and physician safety-conscious manner, by implementing a novel triage pathway.