Cardiovascular risk factors and outcomes in COVID-19: A hospital-based study in India

Background & objectives Presence of cardiovascular (CV) risk factors enhance adverse outcomes in COVID-19. To determine association of risk factors with clinical outcomes in India we performed a study. Methods Successive virologically confirmed adult patients of COVID-19 at a government hospital were recruited at admission and data on clinical presentation and in-hospital outcomes were obtained. The cohort was classified according to age, sex, hypertension, diabetes and tobacco use. In-hospital death was the primary outcome. Logistic regression was performed to compared outcomes in different groups. Results From April to September 2020 we recruited 4645 (men 3386, women 1259) out of 5103 virologically confirmed COVID-19 patients (91.0%). Mean age was 46±18y, hypertension was in 17.8%, diabetes in 16.6% and any tobacco-use in 29.5%. Duration of hospital stay was 6.8±3.7 days, supplemental oxygen was in 18.4%, non-invasive ventilation in 7.1%, mechanical ventilation in 3.6% and 7.3% died. Unadjusted and age-sex adjusted odds ratio(OR) and 95% confidence intervals(CI) for in-hospital mortality, respectively, were: age ≥60y vs <40y, OR 8.47(95% CI 5.87–12.21) and 8.49(5.88–12.25), age 40-59y vs <40y 3.69(2.53–5.38) and 3.66(2.50–5.33), men vs women 1.88(1.41–2.51) and 1.26(0.91–1.48);hypertension 2.22(1.74–2.83) and 1.32(1.02–1.70), diabetes 1.88(1.46–2.43) and 1.16(0.89–1.52);and tobacco 1.29(1.02–1.63) and 1.28(1.00–1.63). Need for invasive and non-invasive ventilation was greater among patients in age-groups 40–49 and ≥60y and hypertension. Multivariate adjustment for social factors, clinical features and biochemical tests attenuated significance of all risk factors. Conclusion Cardiovascular risk factors, age, male sex, hypertension, diabetes and tobacco-use, are associated with greater risk of in-hospital death among COVID-19 patients.

Clinical spectrum, transmission dynamics, outcome and hydroxychloroquine prophylaxis in COVID-19 positive health care workers at a tertiary care hospital

Introduction: Being at the forefront, health-care workers (HCWs) have been at an increased risk of developing COVID-19. Objectives: To understand the pattern of the clinical symptoms, transmission dynamics, intake of hydroxychloroquine (HCQ) prophylaxis and outcome in COVID-19 positive HCWs.

Demographic comparison of the first, second and third waves of COVID-19 in a tertiary care hospital at Jaipur, India.

Background: Coronavirus disease 2019 (COVID-19) infection in India demonstrated three peaks in India, with differences in presentation and outcome in all the three waves. The aim of the paper was to assess differences in the epidemiological, clinical features and outcomes of patients with COVID-19 presenting at a tertiary care hospital in the three waves at Jaipur, India. Methods: This was a retrospective study conducted at a tertiary care hospital at Jaipur, India. Demographic, clinical features and outcomes were compared of confirmed COVID-19 cases admitted during the first wave (16-7-2020 to 31-1-2021), second wave (16-3-2021 to 6-5-2021) and third wave (1-1-22 to 20-2-22) of the outbreak. Results: There were 1006 cases, 639 cases and 125 cases admitted during the three waves, respectively. The cases presenting in the second wave were significantly younger, with significantly higher prevalence of symptoms such as fever, cough, sore throat, nausea, vomiting, headache, muscle ache, loss of appetite and fatigue (P < 0.05). A significantly higher proportion of patients received Remdesivir in the second wave (P < 0.001). However, in the second wave, the use of low molecular weight heparin, plasma therapy, non-invasive and invasive ventilator were higher (P < 0.001). Co-morbid conditions were significantly higher in the admitted patients during the third wave (P < 0.05). Radiological scores were similar in second and third wave, significantly higher than the first wave. Lymphopenia and rise of inflammatory markers including C-reactive protein and interleukin-6 were more evident in the second wave (P < 0.001). The mean mortality, hospital stay and air-leak complications were also significantly higher in the second wave (P < 0.001). Conclusions: The second wave was more vicious in terms of symptoms, inflammatory markers, radiology, complications, requirement of ventilation and mortality. Mutation in the virus, lack of immunity and vaccination at the time point of second wave could have been the possible causes. The ferocity of the second wave has important implications for the government to formulate task forces for effective management of such pandemics.

Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach.

BACKGROUND: As the COVID-19 pandemic evolves, challenges in frontline work continue to impose a significant psychological impact on nurses. However, there is a lack of data on how nurses fared compared to other health care workers in the Asia-Pacific region. OBJECTIVE: This study aims to investigate (1) the psychological outcome characteristics of nurses in different Asia-Pacific countries and (2) psychological differences between nurses, doctors, and nonmedical health care workers. METHODS: Exploratory data analysis and visualization were conducted on the data collected through surveys. A machine learning modeling approach was adopted to further discern the key psychological characteristics differentiating nurses from other health care workers. Decision tree-based machine learning models (Light Gradient Boosting Machine, GradientBoost, and RandomForest) were built to predict whether a set of psychological distress characteristics (ie, depression, anxiety, stress, intrusion, avoidance, and hyperarousal) belong to a nurse. Shapley Additive Explanation (SHAP) values were extracted to identify the prominent characteristics of each of these models. The common prominent characteristic among these models is akin to the most distinctive psychological characteristic that differentiates nurses from other health care workers. RESULTS: Nurses had relatively higher percentages of having normal or unchanged psychological distress symptoms relative to other health care workers (n=233-260 [86.0%-95.9%] vs n=187-199 [74.8%-91.7%]). Among those without psychological symptoms, nurses constituted a higher proportion than doctors and nonmedical health care workers (n=194 [40.2%], n=142 [29.5%], and n=146 [30.3%], respectively). Nurses in Vietnam showed the highest level of depression, stress, intrusion, avoidance, and hyperarousal symptoms compared to those in Singapore, Malaysia, and Indonesia. Nurses in Singapore had the highest level of anxiety. In addition, nurses had the lowest level of stress, which is the most distinctive psychological outcome characteristic derived from machine learning models, compared to other health care workers. Data for India were excluded from the analysis due to the differing psychological response pattern observed in nurses in India. A large number of female nurses emigrating from South India could not have psychologically coped well without the support from family members while living alone in other states. CONCLUSIONS: Nurses were least psychologically affected compared to doctors and other health care workers. Different contexts, cultures, and points in the pandemic curve may have contributed to differing patterns of psychological outcomes amongst nurses in various Asia-Pacific countries. It is important that all health care workers practice self-care and render peer support to bolster psychological resilience for effective coping. In addition, this study also demonstrated the potential use of decision tree-based machine learning models and SHAP value plots in identifying contributing factors of sophisticated problems in the health care industry.

Cardiovascular risk factors and outcomes in COVID-19: A hospital-based study in India.

BACKGROUND & OBJECTIVES: Presence of cardiovascular (CV) risk factors enhance adverse outcomes in COVID-19. To determine association of risk factors with clinical outcomes in India we performed a study. METHODS: Successive virologically confirmed adult patients of COVID-19 at a government hospital were recruited at admission and data on clinical presentation and in-hospital outcomes were obtained. The cohort was classified according to age, sex, hypertension, diabetes and tobacco use. In-hospital death was the primary outcome. Logistic regression was performed to compared outcomes in different groups. RESULTS: From April to September 2020 we recruited 4645 (men 3386, women 1259) out of 5103 virologically confirmed COVID-19 patients (91.0%). Mean age was 46±18y, hypertension was in 17.8%, diabetes in 16.6% and any tobacco-use in 29.5%. Duration of hospital stay was 6.8±3.7 days, supplemental oxygen was in 18.4%, non-invasive ventilation in 7.1%, mechanical ventilation in 3.6% and 7.3% died. Unadjusted and age-sex adjusted odds ratio(OR) and 95% confidence intervals(CI) for in-hospital mortality, respectively, were: age ≥60y vs <40y, OR 8.47(95% CI 5.87-12.21) and 8.49(5.88-12.25), age 40-59y vs <40y 3.69(2.53-5.38) and 3.66(2.50-5.33), men vs women 1.88(1.41-2.51) and 1.26(0.91-1.48); hypertension 2.22(1.74-2.83) and 1.32(1.02-1.70), diabetes 1.88(1.46-2.43) and 1.16(0.89-1.52); and tobacco 1.29(1.02-1.63) and 1.28(1.00-1.63). Need for invasive and non-invasive ventilation was greater among patients in age-groups 40-49 and ≥60y and hypertension. Multivariate adjustment for social factors, clinical features and biochemical tests attenuated significance of all risk factors. CONCLUSION: Cardiovascular risk factors, age, male sex, hypertension, diabetes and tobacco-use, are associated with greater risk of in-hospital death among COVID-19 patients.

COVID-19 Vaccine-Induced Immune Thrombotic Thrombocytopenia (VITT) and Cerebral Venous Sinus Thrombosis (CVST)- Lessons for India.

The COVID-19 pandemic evolved rapidly, overwhelming health care systems around the world. The cost to life and socioeconomic burden prompted a search for new treatments and vaccines. Several collaborations developed and could deliver state-of-the-art vaccines with acceptable efficacy and safety in record time. Recently, vaccination with Oxford-AstraZeneca and Johnson and Johnson vaccines was halted due to the reported adverse effects of vaccine-induced immune thrombotic thrombocytopenia (VITT) and cerebral venous sinus thrombosis (CVST). Although a detailed risk-benefit analysis led to their reinstitution, physicians across the world are still trying to understand the pathophysiology and mechanisms of these neurological adverse effects in order to better identify, diagnose, and treat them. One of the mechanisms that have been implicated is related to the adenovirus-based vector of these vaccines. COVISHIELD, which is the most widely administered vaccine in India, also shares the same vector. As India enters the next phase of vaccine distribution for younger adults, there are chances that such adverse effects may emerge. In this review, we analyze the temporary suspension of the administration of the vaccines due to VITT/CVST, summarize the existing guidelines about diagnosis and treatment of these neurological disorders as well as the need for increasing pharmacovigilance and awareness among physicians. Screening for potential risk factors, avoiding aggravating factors like dehydration, and providing choices in vaccinating the high-risk populations could help in avoiding these rare but potentially fatal adverse outcome.

Educational status and COVID-19 related outcomes in India: hospital-based cross-sectional study.

OBJECTIVE: Association of educational status, as marker of socioeconomic status, with COVID-19 outcomes has not been well studied. We performed a hospital-based cross-sectional study to determine its association with outcomes. METHODS: Successive patients of COVID-19 presenting at government hospital were recruited. Demographic and clinical details were obtained at admission, and in-hospital outcomes were assessed. Cohort was classified according to self-reported educational status into group 1: illiterate or ≤primary; group 2: higher secondary; and group 3: some college. To compare intergroup outcomes, we performed logistic regression. RESULTS: 4645 patients (men 3386, women 1259) with confirmed COVID-19 were recruited. Mean age was 46±18 years, most lived in large households and 30.5% had low educational status. Smoking or tobacco use was in 29.5%, comorbidities in 28.6% and low oxygen concentration (SpO2 <95%) at admission in 30%. Average length of hospital stay was 6.8±3.7 days, supplemental oxygen was provided in 18.4%, high flow oxygen or non-invasive ventilation 7.1% and mechanical ventilation 3.6%, 340 patients (7.3%) died. Group 1 patients had more tobacco use, hypoxia at admission, lymphocytopaenia, and liver and kidney dysfunction. In group 1 versus groups 2 and 3, requirement of oxygen (21.6% vs 16.7% and 17.0%), non-invasive ventilation (8.0% vs 5.9% and 7.1%), invasive ventilation (4.6% vs 3.5% and 3.1%) and deaths (10.0% vs 6.8% and 5.5%) were significantly greater (p<0.05). OR for deaths were higher in group 1 (1.91, 95% CI 1.46 to 2.51) and group 2 (1.24, 95% CI 0.93 to 1.66) compared with group 3. Adjustment for demographic and comorbidities led to some attenuation in groups 1 (1.44, 95% CI 1.07 to 1.93) and 2 (1.38, 95% CI 1.02 to 1.85); this persisted with adjustments for clinical parameters and oxygen support in groups 1 (1.38, 95% CI 0.99 to 1.93) and 2 (1.52, 95% CI 1.01 to 2.11). CONCLUSION: Low educational status patients with COVID-19 in India have significantly greater adverse in-hospital outcomes and mortality. TRIAL REGISTRATION NUMBER: REF/2020/06/034036.

Safety attitudes, burnout and wellbeing among healthcare workers during the COVID-19 pandemic: an Indo-Pacific regional cross-sectional study.

INTRODUCTION: The COVID-19 pandemic has had an unprecedented impact in Asia and has placed significant burden on already stretched healthcare systems. We examined the impact of COVID-19 on safety attitudes among healthcare workers (HCWs) as well as their associated demographic and occupational factors, and measures of burnout, depression and anxiety. METHODS: A cross-sectional survey study utilising snowball sampling was performed involving doctors, nurses and allied health professions from 23 hospitals in Singapore, Malaysia, India and Indonesia between 29 May 2020 and 13 July 2020. This survey collated demographic data and workplace conditions and included three validated questionnaires: Safety Attitudes Questionnaire (SAQ); Oldenburg Burnout Inventory; and Hospital and Anxiety Depression Scale. We performed multivariate mixed model regression to assess for independent associations with the SAQ Total Percentage Agree Rates (PAR). RESULTS: We obtained 3,163 responses. A SAQ Total PAR of 35.7%, 15.0%, 51.0% and 3.3% was calculated among respondents from Singapore, Malaysia, India and Indonesia, respectively. Burnout scores were highest among respondents from Indonesia and lowest in respondents from India at 70.9%-85.4% versus 56.3%-63.6%, respectively. Multivariate analyses revealed that meeting burnout and depression thresholds, and shifts lasting ≥ 12 hours were significantly associated with lower SAQ Total PAR. CONCLUSION: Addressing factors contributing to high burnout and depression, and placing strict limits on work hours per shift may contribute significantly towards improving safety culture among HCWs and should remain priorities as this pandemic continues.

Humoral antibody kinetics with ChAdOx1-nCOV (Covishield™) and BBV-152 (Covaxin™) vaccine among Indian Healthcare workers: A 6-month longitudinal cross-sectional Coronavirus Vaccine-induced antibody titre (COVAT) study.

BACKGROUND AND AIMS: There is limited data available on longitudinal humoral antibody dynamics following two doses of ChAdOx1-nCOV (Covishield™) and BBV-152 (Covaxin™) vaccine against SARS-CoV-2 among Indians. METHODS: We conducted a 6-month longitudinal study in vaccinated healthcare workers by serially measuring quantitative anti-spike antibody at 3-weeks, 3-months and 6-months after the completion of second dose. Geometric mean titer (GMT) and linear mixed models were used to assess the dynamics of antibody levels at 6 months. RESULTS: Of the 481 participants, GMT of anti-spike antibody decreased by 56% at 6-months regardless of age, gender, blood group, body-mass index and comorbidities in 360 SARS-CoV-2 naive individuals but significantly more in hypertensives. Participants with past infection had significantly higher GMT at all time points compared to the naive individuals. Among SARS-CoV-2 naive cohorts, a significantly higher GMT was noted amongst the Covishield recipients at all time points, but there was a 44% decline in GMT at 6-month compared to the peak titer period. Decline in GMT was insignificant (8%) in Covaxin recipients at 6-month despite a lower GMT at all time points vs. Covishield. There was 5.6-fold decrease in seropositivity rate at 6-month with both vaccines. Participants with type 2 diabetes mellitus have a lower seropositivity rate at all the time points. Seropositivity rate was significantly higher with Covishield vs. Covaxin at all time points except at 6-month where Covaxin recipients had a higher seropositivity rate but no difference noted in propensity-matched analysis. CONCLUSIONS: There is waning humoral antibody response following two doses of either vaccine at six months. Covishield recipients had a higher anti-spike antibody GMT compared with Covaxin at all-time points, however a significant decline in antibody titers was seen with Covishield but not with Covaxin at 6-months.

Clinical Features and Outcome of Stroke with COVID-19. COVID-19 Stroke Study Group (CSSG), India.

BACKGROUND AND PURPOSE: Occurrence of stroke has been reported among patients with COVID-19. The present study compares clinical features and outcomes of stroke patients with and without COVID-19. METHODS: The COVID-19 Stroke Study Group (CSSG) is a multicentric study in 18 sites across India to observe and compare the clinical characteristics of patients with stroke admitted during the current pandemic period and a similar epoch in 2019. The present study reports patients of stroke with and without COVID-19 (CoVS and non-CoVS, respectively) seen between February 2020 and July 2020. Demographic, clinical, treatment, and outcome details of patients were collected. RESULTS: The mean age and gender were comparable between the two groups. CoVS patients had higher stroke severity and extent of cerebral involvement on imaging. In-hospital complications and death were higher among CoVS patients (53.06% vs. 17.51%; P < 0.001) and (42.31% vs. 7.6%; P < 0.001), respectively. At 3 months, higher mortality was observed among CoVS patients (67.65% vs. 13.43%; P < 0.001) and good outcome (modified Rankin score [mRS]: 0-2) was seen more often in non-CoVS patients (68.86% vs. 33.33%; P < 0.001). The presence of COVID-19 and baseline stroke severity were independent predictors of mortality. CONCLUSIONS: CoVS is associated with higher severity, poor outcome, and increased mortality. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and baseline stroke severity are independent predictors of mortality.

Mild cognitive impairment in COVID-19 survivors: Measuring the brain fog

Background Objective Methods Results/Conclusions The coronavirus disease 2019 (COVID-19) pandemic has been impacting individuals throughout the world. Millions have been affected, and while many have recovered, a growing number of recovered COVID-19 patients are reportedly facing neurological symptoms, described as “slow thinking,” “difficulty in focusing,” “confusion,” “lack of concentration,” “forgetfulness,” or “haziness in thought process.” These experiences of mental fatigue, associated with and related to mild cognitive impairments, may be conceptually defined as “brain fog.”To study the prevalence and severity of these brain fog symptoms in COVID-19 recovered patients, and examining their association with age, gender, and COVID-19 symptom severity.A total of 300 patients who tested positive for Real-Time Reverse Transcriptase–Polymerase Chain Reaction (RT-PCR) for SARSCoV-2 during April–August 2020 were included in our study after complete recovery from their acute illness. They were assessed for brain fog symptoms using the 9-item validated Wood’s mental fatigue inventory.The overall cumulative prevalence of any components of brain fog was 34%, with a mean score of 6.11 ± 1.7 in those who experienced it. Males were more affected than females (42.3% vs. 29.1%) with males scoring higher than females. The mean score was higher in severe ill and Intensive Care Unit (ICU) patients and those who required oxygen or were on a ventilator. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Mental Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Antibody response after first and second-dose of ChAdOx1-nCOV (CovishieldTM®) and BBV-152 (CovaxinTM®) among health care workers in India: The final results of cross-sectional coronavirus vaccine-induced antibody titre (COVAT) study.

BACKGROUND: We assessed the humoral immune response of both ChAdOx1-nCOV (CovishieldTM) and BBV-152 (CovaxinTM) vaccines in Indian health care workers (HCW). METHODS: A Pan-India, Cross-sectional, Coronavirus Vaccine-induced Antibody Titre (COVAT) study was conducted that measured SARS-CoV-2 anti-spike binding antibody quantitatively, 21 days or more after the first and second dose of two vaccines in both severe acute respiratory syndrome (SARS-CoV-2) naïve and recovered HCW. Primary aim was to analyze antibody response (seropositivity rate, Geometric Mean Titre [GMT] and 95% Confidence Interval [CI]) following each dose of both vaccines and its correlation to age, sex, blood group, body mass index (BMI) and comorbidities. Here we report the results of anti-spike antibody response after first and two completed doses. RESULTS: Among the 515 HCW (305 Male, 210 Female) who took two doses of both vaccines, 95.0% showed seropositivity to anti-spike antibody. However, both seropositivity rate and GMT (95% CI) of anti-spike antibody was significantly higher in Covishield vs. Covaxin recipients (98.1 vs. 80.0%; 129.3 vs. 48.3 AU/mL; both p < 0.001). This difference persisted in 457 SARS-CoV-2 naïve and propensity-matched (age, sex and BMI) analysis of 116 participants. Age > 60-years, males, people with any comorbidities, and history of hypertension (HTN) had a significantly less anti-spike antibody GMT compared to age ≤ 60 years, females, no comorbidities and no HTN respectively, after the completion of two doses of either vaccine. Gender, presence of comorbidities, and vaccine type were independent predictors of antibody seropositivity rate and anti-spike antibody titre levels in multiple logistic and log transformed linear regression analysis. Both vaccine recipients had similar solicited mild to moderate adverse events and none had severe or unsolicited side effects. CONCLUSIONS: Both vaccines elicited good immune response after two doses, although seropositivity rates and GMT of anti-spike antibody titre was significantly higher in Covishield compared to Covaxin recipients.

Clinical profile and outcome of non-COVID strokes during pandemic and the pre pandemic period: COVID-Stroke Study Group (CSSG) India.

BACKGROUND: As the health systems around the world struggled to meet the challenges of COVID-19 pandemic, care of many non-COVID emergencies was affected. AIMS: The present study examined differences in the diagnosis, evaluation and management of stroke patients during a defined period in the ongoing pandemic in 2020 when compared to a similar epoch in year 2019. METHODS: The COVID stroke study group (CSSG) India, included 18 stroke centres spread across the country. Data was collected prospectively between February and July 2020 and retrospectively for the same period in 2019. Details of demographics, stroke evaluation, treatment, in-hospital and three months outcomes were collected and compared between these two time points. RESULTS: A total of 2549 patients were seen in both study periods; 1237 patients (48.53%) in 2019 and 1312 (51.47%) in 2020. Although the overall number of stroke patients and rates of thrombolysis were comparable, a significant decline was observed in the month of April 2020, during the initial period of the pandemic and lockdown. Endovascular treatment reduced significantly and longer door to needle and CT to needle times were observed in 2020. Although mortality was higher in 2020, proportion of patients with good outcome were similar in both the study periods. CONCLUSIONS: Although stroke admissions and rates of thrombolysis were comparable, some work flow metrics were delayed, endovascular stroke treatment rates declined and mortality was higher during the pandemic study period. Reorganization of stroke treatment pathways during the pandemic has likely improved the stroke care delivery across the globe.

Mucormycosis and COVID-19: An epidemic within a pandemic in India.

IMPORTANCE: Coronavirus disease (COVID-19) causes an immunosuppressed state and increases risk of secondary infections like mucormycosis. We evaluated clinical features, predisposing factors, diagnosis and outcomes for mucormycosis among patients with COVID-19 infection. METHODS: This prospective, observational, multi-centre study included 47 consecutive patients with mucormycosis, diagnosed during their course of COVID-19 illness, between January 3 and March 27, 2021. Data regarding demography, underlying medical conditions, COVID-19 illness and treatment were collected. Clinical presentations of mucormycosis, imaging and biochemical characteristics and outcome were recorded. RESULTS: Of the 2567 COVID-19 patients admitted to 3 tertiary centres, 47 (1.8%) were diagnosed with mucormycosis. Mean age was 55 ± 12.8years, and majority suffered from diabetes mellitus (n = 36, 76.6%). Most were not COVID-19 vaccinated (n = 31, 66.0%) and majority (n = 43, 91.5%) had developed moderate-to-severe pneumonia, while 20 (42.6%) required invasive ventilation. All patients had received corticosteroids and broad-spectrum antibiotics while most (n = 37, 78.7%) received at least one anti-viral medication. Mean time elapsed from COVID-19 diagnosis to mucormycosis was 12.1 ± 4.6days. Eleven (23.4%) subjects succumbed to their disease, mostly (n = 8, 72.7%) within 7 days of diagnosis. Among the patients who died, 10 (90.9%) had pre-existing diabetes mellitus, only 2 (18.2%) had received just one vaccine dose and all developed moderate-to-severe pneumonia, requiring oxygen supplementation and mechanical ventilation. CONCLUSIONS: Mucormycosis can occur among COVID-19 patients, especially with poor glycaemic control, widespread and injudicious use of corticosteroids and broad-spectrum antibiotics, and invasive ventilation. Owing to the high mortality, high index of suspicion is required to ensure timely diagnosis and appropriate treatment in high-risk populations.

An Asia-Pacific study on healthcare workers' perceptions of, and willingness to receive, the COVID-19 vaccination.

OBJECTIVE: In the fight against COVID-19, vaccination is vital in achieving herd immunity. Many Asian countries are starting to vaccinate frontline workers; however, expedited vaccine development has led to hesitancy among the general population. We evaluated the willingness of healthcare workers to receive the COVID-19 vaccine. METHODS: From 12 to 21 December 2020, we recruited 1720 healthcare workers from 6 countries: China, India, Indonesia, Singapore, Vietnam and Bhutan. The self-administrated survey collected information on willingness to vaccinate, perception of COVID-19, vaccine concerns, COVID-19 risk profile, stigma, pro-socialness scale, and trust in health authorities. RESULTS: More than 95% of the healthcare workers surveyed were willing to vaccinate. These respondents were more likely to perceive the pandemic as severe, consider the vaccine safe, have less financial concerns, less stigmatization regarding the vaccine, higher pro-socialness mindset and trust in health authorities. A high perceived pandemic risk index, low vaccine harm index and high pro-socialness index were independent predictors in multivariable analysis. CONCLUSIONS: The majority of healthcare workers in Asia are willing to receive COVID-19 vaccination. Perceived COVID-19 susceptibility, low potential risk of vaccine harm and pro-socialness are the main drivers. These findings may help formulate vaccination strategies in other countries.

Macrolevel association of COVID-19 with non-communicable disease risk factors in India.

BACKGROUND & AIMS: Greater COVID-19 related mortality has been reported among persons with various non-communicable diseases (NCDs). We performed an ecological study to determine the association of state-level cases and deaths with NCD risk factors and healthcare and social indices. METHODS: We obtained cumulative national and state-level data on COVID-19 cases and deaths from publicly available database www.covid19india.org from February to end November 2020. To identify association with major NCD risk factors, NCDs, healthcare related and social variables we obtained data from public sources. Association was determined using univariate and multivariate statistics. RESULTS: More than 9.5 million COVID-19 cases and 135,000 deaths have been reported in India towards end of November 2020. There is significant positive correlation (Pearson r) of state-level COVID-19 cases and deaths per million, respectively, with NCD risk factors- obesity (0.64, 0.52), hypertension (0.28, 0.16), diabetes (0.66, 0.46), NCD epidemiological transition index (0.58, 0.54) and ischemic heart disease mortality (0.22, 0.33). Correlation is also observed with indices of healthcare access and quality (0.71, 0.61), urbanization (0.75, 0.73) and human (0.61, 0.56) and sociodemographic (0.70, 0.69) development. Multivariate adjusted analyses shows strong correlation of COVID-19 burden and deaths with NCD risk factors (r2 = 0.51, 0.43), NCDs (r2 = 0.32, 0.16) and healthcare (r2 = 0.52, 0.38). CONCLUSIONS: COVID-19 disease burden and mortality in India is ecologically associated with greater state-level burden of NCDs and risk factors, especially obesity and diabetes.

The SARS-CoV-2/COVID-19 pandemic and challenges in stroke care in India.

Stroke care in India has evolved rapidly in the last decade with a focus on stroke awareness, prevention, rapid triage, treatment, and rehabilitation. But acute stroke care and poststroke rehabilitation in the country have limitations owing to the economic constraints and poor access to health care. The SARS-CoV-2/COVID-19 pandemic has made stroke care even more challenging. We outline the unfavorable circumstances in stroke care induced by the pandemic; propose mitigating measures; crisis management; and provide a comparative evaluation of stroke care between India and the United States during the pandemic. There is a need for public health systems in both developed and developing countries to improve awareness, implement proper strategies of triage, acute treatment, well-defined rehabilitation plans, telemedicine services, and virtual check-ins.

Demographic characteristics of patients with COVID-19: a preliminary report from northern India

Aim: COVID-19 has emerged as a serious global health problem in the 21st century. Due to its rapid spread across the nations, the World Health Organization declared it as a Public Health Emergency of International Concern (PHEIC), and efforts are being made worldwide to find a permanent solution. This disease outbreak has also shown certain gender-based impacts and has shown gender differences in vulnerability and mortality toward COVID-19. Materials and methods: A 3-month cross-sectional study aimed to study the gender differentiation among COVID-19-positive patients was conducted in one of the premier tertiary-care multispecialty hospital of North India. The data pertaining to all the screened, tested, and reported positive for COVID-19 patients admitted in the "COVID hospital" of the institute was taken into analysis.

Asian-Pacific perspective on the psychological well-being of healthcare workers during the evolution of the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to significant strain on front-line healthcare workers. AIMS: In this multicentre study, we compared the psychological outcomes during the COVID-19 pandemic in various countries in the Asia-Pacific region and identified factors associated with adverse psychological outcomes. METHOD: From 29 April to 4 June 2020, the study recruited healthcare workers from major healthcare institutions in five countries in the Asia-Pacific region. A self-administrated survey that collected information on prior medical conditions, presence of symptoms, and scores on the Depression Anxiety Stress Scales and the Impact of Events Scale-Revised were used. The prevalence of depression, anxiety, stress and post-traumatic stress disorder (PTSD) relating to COVID-19 was compared, and multivariable logistic regression identified independent factors associated with adverse psychological outcomes within each country. RESULTS: A total of 1146 participants from India, Indonesia, Singapore, Malaysia and Vietnam were studied. Despite having the lowest volume of cases, Vietnam displayed the highest prevalence of PTSD. In contrast, Singapore reported the highest case volume, but had a lower prevalence of depression and anxiety. In the multivariable analysis, we found that non-medically trained personnel, the presence of physical symptoms and presence of prior medical conditions were independent predictors across the participating countries. CONCLUSIONS: This study highlights that the varied prevalence of psychological adversity among healthcare workers is independent of the burden of COVID-19 cases within each country. Early psychological interventions may be beneficial for the vulnerable groups of healthcare workers with presence of physical symptoms, prior medical conditions and those who are not medically trained.