Mental health outcome in hospitalized COVID-19 patients: An observational analysis from North Indian tertiary care hospital.

Aim: The study investigate the severity of perceived stress and wide domains of psychiatric symptoms reported on initial screening in hospitalized patients of COVID-19 with a second aim to determine the role of sociodemographic factors and coping styles in the hospitalized patients of COVID-19. Method: Total 224 patients of COVID-19 infection, hospitalized in various isolation facilities were assessed via web-based self-reported questionnaires on perceived stress scale, brief cope inventory, and DSM-5 crosscutting level-1 questionnaire. Results: Majority of the patients reported moderate level of stress followed by mild and severe. Depression and Anxiety symptoms were most common psychopathologies though the patients have reported greater severity in various domains of psychiatric symptoms. Coping styles explains most of variance (64.8%) of the perceived stress. Similarly total PSS scores, coping styles, COVID-19 status and sociodemographic factors contributed significantly to the variance of all psychiatric symptoms. Conclusion: Factors like female gender, being married, belonging to nuclear families, service class and urban domicile are the significant factors determining higher risk of stress and developing more psychopathologies. Furthermore, coping styles used by the patients have a greater moderating effect on mental health symptoms and their perceived stress which can be a major area for interventions to reduce the mental health morbidities.

Venture creation in the aftermath of COVID-19: The impact of US governor party affiliation and discretion

In the USA, governors became central figures in the fight against the novel coronavirus. In many cases, state leaders were forced to choose between preserving life and protecting economic livelihood. While prior research has underscored the important role that US governors played in implementing healthcare policies at the onset of the COVID-19 pandemic, we know little about how characteristics of state leaders impacted self-employment. In this paper, we draw from upper echelons theory to examine how governor party and discretion impacted venture creation in the food and restaurant industry. Interestingly, we find no significant relationship between governor party and venture creation. However, we find that when the governor and legislature were unified in their political party - irrespective of party line - there were a higher number of new food and restaurant ventures created. We also found this effect to be strengthened when small business unemployment levels were higher. We explore the implications of these results for how unity of command may be beneficial during times of crisis. Plain English Summary During the initial outbreak of the COVID-19 pandemic in the USA, governors played a critical role in creating policy that either helped to preserve life or protect economic livelihood. Our research examines how two particularly important characteristics of governors and the political environment - party affiliation and discretion - impacted new venture creation within the food and restaurant industry, which is an important indicator of economic recovery. Using a publicly available, hand-collected dataset inclusive of all 50 states, we find that the political party of the governor has no effect on venture creation. However, we demonstrate that when the governorship and state legislature were aligned and led by members with the same party affiliation, the state experienced a greater number of new venture creation in the food and restaurant industry than when leaders of these two branches of government were not aligned. We further found that the effect of governor discretion was stronger when small business unemployment levels were higher. Our findings have implications for practice by suggesting that a unity of command government structure can be advantageous for economic outcomes during crises.

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System

In the summer of 2020, in collaboration with the Greek government, we designed and deployed Eva-the first national-scale, reinforcement learning system for targeted COVID-19 testing. In this paper, we detail the rationale for three major design/algorithmic elements: Eva's testing supply chain, estimating COVID-19 prevalence, and test allocation. Specifically, we describe the design of Eva's supply chain to collect and process thousands of biological samples per day with special emphasis on capacity procurement. Then, we propose a novel, empirical Bayes estimation strategy to estimate COVID-19 prevalence among various passenger types with limited data and showcase how these estimates were instrumental in making a variety of downstream decisions. Finally, we propose a novel, multiarmed bandit algorithm that dynamically allocates tests to arriving passengers in a nonstationary environment with delayed feedback and batched decisions. All our design and algorithmic choices emphasize the need for transparent reasoning to enable human-in-the-loop analytics. Such transparency was crucial to building trust and acceptance among policymakers and public health experts in a period of global crisis.

Guest editorial

[...]there is an increasing representation of women scholars. [...]Indian management scholars have used a variety of methods and they show capacity to employ sophisticated methods and analyses. The study concluded that inclusion results in an atmosphere of openness and dialogue within which participants can share aspects of themselves (the “me”) that might otherwise have been overlooked in the collective identity (the “we”) of the organization. [...]organizations can reap the benefits of diversity only through inclusive approaches and strategies. The results of the study indicated that there are five distinct stages in the development of a start-up entrepreneur, namely, pre-entrepreneurial stage, inflection point, cocoon period, initial stage, crisis stage and, depending upon the success factors and support received during crisis stage, either a success stage or failure stage.

Sex differences in SARS-CoV-2 infections, anti-viral immunity and vaccine responses

The COVID-19 pandemic has revealed sex-based differences in anti-viral responses, with a higher rate of SARS-CoV-2 infections as well as a higher rate of morbidity and mortality in men than in women. Males and females also show disparate immune responses to COVID-19 infection, which may be important contributors to lower rates of infection, disease severity and deaths in women than in men. Here, the authors review sex differences in SARSCoV- 2 infections, anti-viral immunity and vaccine responses, putting forth the importance of sex, the underappreciated variables in vaccine response and disease infectivity.

Patient perception and satisfaction with a smartphone-based teledermatology service initiated during the COVID-19 pandemic at a tertiary care hospital in North India.

Background Telemedicine is being increasingly used to provide healthcare to patients, particularly during the COVID-19 pandemic. Aims The study aimed to study patient perception and satisfaction with a smartphone-based hybrid teledermatology service initiated during the COVID-19 pandemic. Methods This was a cross-sectional telephonic survey including patients ≥18 years of age who had received a teledermatology consultation. After noting the demographic, clinical and teleconsultation details, patients were administered the Telemedicine Satisfaction Questionnaire and an additional 6-item questionnaire. Patients were also asked to give qualitative feedback and suggestions for improvement using a semi-structured interview guide. Results We interviewed 201 subjects. The most common diagnoses were pemphigus (27, 13.4%), superficial fungal infections (24, 11.8%), psoriasis (22, 10.9%) and dermatitis (21, 10.4%). The overall mean Telemedicine Satisfaction Questionnaire score was 4.20± 0.71. One hundred seventy-one (85.1%) patients responded that they would use teledermatology services again, while 168 (83.6%) reported satisfaction with the quality of services. A majority of the patients were largely satisfied with the various components involved, though some concerns were raised about the care perceived as not at par with physical consultations, difficulty in procuring medicines, lack of confidence in photographic diagnoses and the lack of a personal touch. Patients with urticaria (P=0.020), those who were advised a change in treatment (P=0.029) and those with improvement in their skin disease (P=0.026) were more likely to be satisfied. Limitations Our study was conducted during the COVID-19 pandemic when patient acceptability was likely to be higher. Only follow-up patients were included in the study. Conclusion Patient satisfaction levels were generally high with teledermatology. Addressing lacunae that negatively impact patient perception and satisfaction will help in greater acceptance of teledermatology services.

Efficient and targeted COVID-19 border testing via reinforcement learning.

Throughout the coronavirus disease 2019 (COVID-19) pandemic, countries have relied on a variety of ad hoc border control protocols to allow for non-essential travel while safeguarding public health, from quarantining all travellers to restricting entry from select nations on the basis of population-level epidemiological metrics such as cases, deaths or testing positivity rates1,2. Here we report the design and performance of a reinforcement learning system, nicknamed Eva. In the summer of 2020, Eva was deployed across all Greek borders to limit the influx of asymptomatic travellers infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and to inform border policies through real-time estimates of COVID-19 prevalence. In contrast to country-wide protocols, Eva allocated Greece's limited testing resources on the basis of incoming travellers' demographic information and testing results from previous travellers. By comparing Eva's performance against modelled counterfactual scenarios, we show that Eva identified 1.85 times as many asymptomatic, infected travellers as random surveillance testing, with up to 2-4 times as many during peak travel, and 1.25-1.45 times as many asymptomatic, infected travellers as testing policies that utilize only epidemiological metrics. We demonstrate that this latter benefit arises, at least partially, because population-level epidemiological metrics had limited predictive value for the actual prevalence of SARS-CoV-2 among asymptomatic travellers and exhibited strong country-specific idiosyncrasies in the summer of 2020. Our results raise serious concerns on the effectiveness of country-agnostic internationally proposed border control policies3 that are based on population-level epidemiological metrics. Instead, our work represents a successful example of the potential of reinforcement learning and real-time data for safeguarding public health.

Managing the Oral Health of Cancer Patients During the COVID-19 Pandemic: Perspective of a Dental Clinic in a Cancer Center.

The practice of dentistry has been dramatically altered by the coronavirus disease 2019 (COVID-19) pandemic. Given the close person-to-person contact involved in delivering dental care and treatment procedures that produce aerosols, dental healthcare professionals including dentists, dental assistants and dental hygienists are at high risk of exposure. As a dental clinic in a comprehensive cancer center, we have continued to safely provide medically necessary and urgent/emergent dental care to ensure that patients can adhere to their planned cancer treatment. This was accomplished through timely adaptation of clinical workflows and implementation of practice modification measures in compliance with state, national and federal guidelines to ensure that risk of transmission remained low and the health of both immunocompromised cancer patients and clinical staff remained protected. In this narrative review, we share our experience and measures that were implemented in our clinic to ensure that the oral health needs of cancer patients were met in a timely manner and in a safe environment. Given that the pandemic is still on-going, the impact of our modified oral healthcare delivery model in cancer patients warrants continued monitoring and assessment.

Impact of glycemic control in diabetes mellitus on management of COVID-19 infection.

Background: Diabetes mellitus may be associated with increased severity and enhanced mortality in COVID-19 infections. The present study was undertaken to evaluate the clinical presentation, laboratory parameters, radiological imaging, management, and outcome of COVID-19 infection in patients of diabetes mellitus and its association with glycemic control. Methods: The present study was designed to evaluate the difference between uncontrolled and controlled diabetes for COVID-19 manifestations by enrolling 80 admitted COVID-19 patients. Patients were categorized into two groups, where group 1 had patients with uncontrolled diabetes as indicated by HbA1c > 8 g% and group 2 had patients with controlled diabetes as indicated by HbA1c < 8 g%. Information concerning medical history, clinical manifestations, laboratory findings, radiological imaging, management, and outcome was extracted from medical records for evaluation, interpretation, and association among both the groups. Results: COVID-19 patients with uncontrolled diabetes exhibited a severe symptomatic presentation, excessive uncontrolled inflammatory responses, and hypercoagulable state. Total leukocyte count, neutrophil-lymphocyte ratio, serum levels of IL-6, FDP, and D-dimer were significantly raised (p < 0.05) in case of uncontrolled diabetes as compared with controlled diabetes. Radiological findings detected by chest radiograph and computed tomography chest suggested severe lung involvement in uncontrolled diabetes. COVID-19 patients with uncontrolled diabetes required intensive treatment as compared with controlled diabetes group in terms of insulin therapy (p = 0.0226) and non-invasive ventilation (p = 0.0292). Patients with uncontrolled diabetes had higher mortality (p = 0.0375) and required prolonged hospitalization (p = 0.0479) as compared with controlled diabetes group. Conclusion: From the current study, it can be concluded that uncontrolled diabetic condition might be a risk factor for severity and morbidity of COVID-19 patients. Uncontrolled diabetes mellitus might be responsible for an overall higher susceptibility for COVID-19 infection and severity in terms of symptomatic presentation, inflammatory storm, rapid pulmonary invasion, requirement of more intensive treatment, and a poor outcome.

A preliminary clinico-epidemiological portrayal of COVID-19 pandemic at a premier medical institution of North India.

CONTEXT: The outbreak and spread of severe acute respiratory syndrome coronavirus 2 has led to a global exigency of colossal and monstrous proportions in terms of public health and economic crisis. Till date, no pharmaceutical agent is known to manage in terms of prevention and treatment of coronavirus disease 2019 (COVID-19), the disease caused by a novel virus. AIMS: The aim of the present work was to understand the underlying disease profile and dynamics that could provide relevant inputs and insight into pathophysiology and prevent further spread and evolve management strategies of COVID-19 patients from data-driven techniques. SETTINGS AND DESIGN: A retrospective observational descriptive study was conducted on 29 COVID-19 patients admitted at a premier medical institution of North India in the months of February and March 2020. METHODS: The patients were diagnosed with reverse transcription-polymerase chain reaction test. Demographic, clinical, and laboratory data were collected. RESULTS: The mean age of population was 38.8 years with male preponderance, of which two patients were residents of Italy, and others hailed from semi-arid and Western sandy arid regions of Rajasthan (urban population). The major presenting symptom complex of said COVID-19 sample population included fever (48%), cough (31%), and shortness of breath (17%). Most of the patients (83%) had no comorbidity. No clinical correlation (r) could be appreciated between the duration of test positivity and age of afflicted COVID-19 patients (r = -0.0976). CONCLUSIONS: The present evaluation of various facets of the ongoing global pandemic of COVID-19 is an attempt to portray early clinical and epidemiological parameters of the menace of COVID-19 patients admitted at SMS Medical College and Attached Hospitals, Jaipur.

Clinico-Radiological Evaluation and Correlation of CT Chest Images with Progress of Disease in COVID-19 Patients.

PURPOSE: The present study was undertaken to investigate and quantify the severity of COVID-19 infection on high-resolution chest computed tomography (CT) and to determine its relationship with clinical parameters. This study also aimed to see CT changes with clinical recovery or progression of disease. MATERIALS AND METHODS: In an attempt to provide extensive information pertaining to clinical and radiological characteristics of COVID-19, the present study was undertaken in 80 hospitalized patients. The patients were COVID-19 confirmed positive by genomic analysis through RT-PCR at tertiary care center in Jaipur. Initially all patients were evaluated for their clinical parameters and then correlated with HRCT chest after hospitalization. CT findings correlated with duration of disease to assess progress or recovery. RESULTS: A total of 80 patients of laboratory confirmed COVID-19 test by RT-PCR at SMS Hospitals, Jaipur were assessed. Among the confirmed cases, most of patients were young adults in the fifth and sixth decade of age group with mean age of 50.40 years. There was a male preponderance (59% male and 41% female). Out of total analyzed patients, 39 patients (48.75%) were symptomatic, among them fever (79.47%), cough (74.35%), shortness of breath (36%) and sore throat (17.94%) were the most common presenting clinical manifestations. A few patients (12.82%) also had other symptoms like headache, chest pain, pain abdomen, altered sensorium etc. 54% patients had some underlying co morbid disease in sample population. The most prevalent comorbidities were Diabetes mellitus (56%), Hypertension (48.83%), COPD/K-chest (12%), CAD (9.32%) and others (11.62%) like hypothyroidism, anemia, CVA etc. The lung pathological changes were evaluated by HRCT imaging and by assigning CT severity score. We found Typical COVID findings in 50% patients, Indeterminate in 11%, Atypical in 11% and 28% patients had Negative CT chest for COVID. The clinical status of patients correlated with the CT severity score, with mild cases showing score <15/25 in 45.83% patients and severe cases showing CT severity score >15/25 in 87.50% patients. The CT features varied with duration and course of disease. Proportional GGO was higher (59.37%) in early phase and it was lower (12.5%) in later stage of disease. CONCLUSION: The varied spectra of COVID-19 presentation included fever, cough, shortness of breath, sore throat etc. Diabetes mellitus, hypertension, COPD/K-Chest and CAD were found as major comorbid conditions. Symptomatic presentation of COVID-19 was observed to be higher in patients with co morbid disease, especially if multiple. HRCT chest in COVID-19 patients had a major diagnostic and prognostic importance as positive CT findings were more prominent in symptomatic patients and co-morbid patients. Clinical symptoms of patients directly correlated with CT severity index. CT imaging was found to be useful in predicting clinical recovery of patients or progression of disease.

Characteristics, Treatment Outcomes and Role of Hydroxychloroquine among 522 COVID-19 hospitalized patients in Jaipur City: An Epidemio-Clinical Study.

PURPOSE: The present study was undertaken to investigate epidemiological distribution, clinical manifestation, co morbid status, treatment strategy and case fatality index of emerging COVID-19 infection at SMS Medical College Hospital, Jaipur, Rajasthan. It also evaluated efficacy of hydroxychloroquine (HCQ) in treatment of patients and risk of serious adverse outcomes in patients with COVID-19 in relation to their co morbid status. MATERIALS AND METHODS: In an attempt to provide extensive information pertaining to epidemiological and clinical characteristics of COVID-19, the present study was undertaken on 522 patients. The patients were COVID-19 confirmed positive by genomic analysis through Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) at SMS Medical College and Attached Hospitals, Jaipur. The indoor admitted patient's information inclusive of demographic profile (age, sex, nationality, residence), date of confirmation for positive COVID-19 case, travel/ exposure history, date of recovery/ death, clinical features, co morbidities and treatment plan was recorded. A serial follow-up of recovered patients to evaluate infective period of the disease was also part of the study. RESULTS: A total of 522 patients of laboratory confirmed COVID-19 test by RT-PCR at SMS Hospitals, Jaipur were assessed. Among the confirmed cases, most of patients were young adult in the age group with mean age of 35.42 years. 22.41% patients were below 20 years of age, majority of patients (58.80%) were in the age range of 21 to 50 years and only 18.79% patient population was in the age range of above 50 years. Females (39.08%) were affected less than males (60.91%) with an average sex ratio of female: male being 0.64. Out of the total analyzed patients, only 24.32% patients were symptomatic, among them fever (55.90%), cough (52.75%), sore throat (49.60%) and shortness of breath (46.45%) were the most common presenting clinical manifestations while a few patients also had symptoms of headache (26.77%), chest pain (6.29%) and other symptoms (7.87%) like pain abdomen, fatigue, joints pain, altered sensorium etc. Most of symptomatic patients belonging to older age group. An average of 40.40% patient population of above 50 years of age, were symptomatic while none of the patients below 10 years of age were symptomatic. 13.98% patients had some or the other underlying co morbid disease. The most prevalent co morbidity was hypertension (42.46%) followed by Diabetes mellitus (39.72%), Old k-chest (20.54%), COPD/ Bronchial Asthma (16.43%), Coronary artery disease (13.69%), Chronic kidney disease (13.69%) and Valvular heart disease (6.84%) distributed in co morbid patients of COVID-19. 60.27% of patient population with underlying co morbid conditions were more prone to develop symptomatology complex as compared to that observed in patients with no co morbidity (18.42%). 116 patients had recovered with effective treatment till the date of data analysis. Time of recovery was counted from the date of positive report to 1st negative report of oropharyngeal sample by RT-PCR for COVID-19 with an average recovery time of 8.15 days. 23.27% patients recovered within 5 days, while 52.58% patients took about 6-10 days, 23.27% patients took 11-15 days and remaining 0.86% took more than 16 days to recover. In the present study 15 patients had died till analysis of data, among the deceased, 73.33% were above 50 year of age with a male preponderance (66.6%). Interestingly, all deceased (100%) had presented with clinical manifestations of COVID-19 and all had underlying multiple co morbid conditions. Majority of patients had early mortality after admission to hospital with two third death account in initial three days. Asymptomatic patients (cases) treated with HCQ recovered early (average recovery time =5.4 days) compared to asymptomatic patients who did not receive any treatment (control group) and had longer recovery time (average recovery time =7.6 days). CONCLUSION: The varied spectra of COVID-19 mostly affects young adult age group (third to fifth decades of life). Interestingly, early age group was also affected in significant proportion when compared with similar data from other countries. It was observed that male population seemed to be was more prone to getting infected. Majority of COVID-19 positive patients (nearly three-fourth) were asymptomatic (mostly in young age range) at the time of diagnosis, which poses a major challenge for health care workers. Fever, cough, sore throat and shortness of breath were major symptoms that could be detected in such COVID-19 patients. Symptomatic clinical manifestations were more common in old age population. Infectivity was higher in patients that had underlying co morbid disease, especially in patients with multiple co morbid conditions. Symptomatic presentation of COVID-19 was observed to be higher in patients with co morbid disease. Average recovery time from COVID-19 was 8 days with effective treatment. Mortality in COVID-19 was higher in old age population, male gender, symptomatic and co morbid patients as compared to other similarly matched group. Most of mortality was noted within first few days of admission, suggestive of early mortality due to the primary disease process. Treatment with HCQ had early recovery without effectively influencing the overall mortality.

COVID-19 and Acute Pancreatitis: What Do Surgeons Need to Know?

Coronavirus disease 2019 (COVID-19) typically presents with pulmonary symptoms. Extra-pulmonary symptomatology of COVID-19 has drawn significant attention. However, information about the incidence, course and outcomes of acute pancreatitis in these patients is still limited.