Planning for the Post-COVID Syndrome: How Payers Can Mitigate Long-Term Complications of the Pandemic

Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample

Long-COVID-19 symptoms are an emerging public health issue. This study sought to investigate demographics, chronic illness, and probable psychiatric diagnoses as correlates for long-COVID-19 in an urban adult sample. Self-report Qualtrics surveys were sent to students across City University of New York (CUNY) campuses in New York City in Winter 2021-2022. Binary logistic regressions were used to assess the relation of a range of factors with endorsement of long-COVID-19. Results demonstrated that Latinx participants endorsed higher odds of long-COVID-19, as compared to non-Latinx white participants. Participants who endorsed having a prior chronic illness and those who met the cut-off for probable psychiatric diagnoses all endorsed higher odds of long-COVID-19. Long-COVID-19 may be more likely among specific subpopulations and among persons with other ongoing physical and mental illness.

Imbalance of Peripheral Temperature, Sympathovagal, and Cytokine Profile in Long COVID

A persistent state of inflammation has been reported during the COVID-19 pandemic. This study aimed to assess short-term heart rate variability (HRV), peripheral body temperature, and serum cytokine levels in patients with long COVID. We evaluated 202 patients with long COVID symptoms categorized them according to the duration of their COVID symptoms (≤120 days, n = 81; >120 days, n = 121), in addition to 95 healthy individuals selected as controls. All HRV variables differed significantly between the control group and patients with long COVID in the ≤120 days group (p < 0.05), and participants in the long COVID ≤120 days group had higher temperatures than those in the long COVID >120 days group in all regions analysed (p < 0.05). Cytokine analysis showed higher levels of interleukin 17 (IL-17) and interleukin 2 (IL-2), and lower levels of interleukin 4 (IL-4) (p < 0.05). Our results suggest a reduction in parasympathetic activation during long COVID and an increase in body temperature due to possible endothelial damage caused by the maintenance of elevated levels of inflammatory mediators. Furthermore, high serum levels of IL-17 and IL-2 and low levels of IL-4 appear to constitute a long-term profile of COVID-19 cytokines, and these markers are potential targets for long COVID-treatment and prevention strategies.

Religious Doctrine and Attitudes Toward Vaccination in Jewish Law

Individual and herd immunity against communicable diseases requires high rates of timely and complete vaccination, particularly in closely knit communities, densely populated areas, and places with high influx of potentially infected individuals. Recent outbreaks of COVID-19 and, previously, measles in religious Jewish communities of New York, as well as the rise of vaccine hesitancy in faith communities, call for the examination of Jewish attitudes toward vaccination. In this article, we examine religious doctrine and guidance on vaccination in Orthodox (including Modern Orthodox, Chabad-Lubavich, and Ultra-Orthodox), Conservative, and Reform denominations of Judaism and apply these principles to vaccinations against measles, human papillomavirus (HPV), and COVID-19. We found that the leaders and scholars in these three major denominations of Judaism are uniform in their strong support, often to the point of mandate, for the principles of vaccination. Support for vaccination is deeply rooted in the Torah, Jewish law, and contemporary rulings of poskim (Jewish legal scholars). These principles are applied by each denomination in strong support of measles and COVID-19 vaccination, though there is less certainty in their support of vaccination against HPV.

Long-term Complications of COVID-19 in Nursing Staff; a Retrospective Longitudinal Study

Introduction

Although the lungs are the main target of coronavirus disease (COVID-19), infection is also associated with a high rate of extra-pulmonary complications. This study aimed to evaluate the one-year incidence of long-term COVID-19 complications among the nursing staff.

Methods

This study is a retrospective longitudinal study. All nursing staff working in public hospitals affiliated with Shahid Beheshti University of Medical Sciences who had been affected with COVID-19 were included in the study via convenience sampling method. The patients were recruited from 20_th February 2020 to 20_th March 2021.

Result

1762 nursing staff with a mean age of 35.08 ± 8.02 (Range: 22-66) years were studied (73.5% female). The results showed that among those who reported at least one type of complication, the duration of complications was significantly longer than 1 week and the median was 8 weeks. The findings demonstrated that complications occurred in 65% of infected females. For men, this rate was 62.3%. Generalized pain, anxiety disorders, and skin complications were among the complications that were significantly more common in women than in men. Additionally, the incidence of anosmia, ageusia, anxiety disorders, and skin complications was significantly higher in younger people than in older people. The comparison of complications revealed that nurses were significantly more likely than other occupations to experience respiratory complications, anosmia and ageusia, generalized pain, and skin complications and that outpatients experienced significantly more complications than hospitalized patients.

Conclusion

The one-year cumulative incidence of long-term complications in nursing staff with COVID-19 was 64.3%. The most common complications were respiratory complications, generalized pain, anosmia, and ageusia, respectively.

Changes in all-cause and cause-specific mortality during the first year of the COVID-19 pandemic in Minnesota: population-based study

BACKGROUND

The COVID-19 pandemic resulted in unprecedented increases in mortality in the U.S. and worldwide. To better understand the impact of the COVID-19 pandemic on mortality in the state of Minnesota, U.S.A., we characterize the changes in the causes of death during 2020 (COVID-19 period), compared to 2018-2019 (baseline period), assessing for differences across ages, races, ethnicities, sexes, and geographic characteristics.

METHODS

Longitudinal population-based study using Minnesota death certificate data, 2018-2020. Using Poisson regression models adjusted for age and sex, we calculated all-cause and cause-specific (by underlying causes of death) mortality rates per 100,000 Minnesotans, the demographics of the deceased, and years of life lost (YLL) using the Chiang's life table method in 2020 relative to 2018-2019.

RESULTS

We identified 89,910 deaths in 2018-2019 and 52,030 deaths in 2020. The mean daily mortality rate increased from 123.1 (SD 11.7) in 2018-2019 to 144.2 (SD 22.1) in 2020. COVID-19 comprised 9.9% of deaths in 2020. Other categories of causes of death with significant increases in 2020 compared to 2018-2019 included assault by firearms (RR 1.68, 95% CI 1.34-2.11), accidental poisonings (RR 1.49, 95% CI 1.37-1.61), malnutrition (RR 1.48, 95% CI 1.17-1.87), alcoholic liver disease (RR, 95% CI 1.14-1.40), and cirrhosis and other chronic liver diseases (RR 1.28, 95% CI 1.09-1.50). Mortality rates due to COVID-19 and non-COVID-19 causes were higher among racial and ethnic minority groups, older adults, and non-rural residents.

CONCLUSIONS

The COVID-19 pandemic was associated with a 17% increase in the death rate in Minnesota relative to 2018-2019, driven by both COVID-19 and non-COVID-19 causes. As the COVID-19 pandemic enters its third year, it is imperative to examine and address the factors contributing to excess mortality in the short-term and monitor for additional morbidity and mortality in the years to come.

Expectations of social workers for interprofessional practice in healthcare: qualitative insights from practicing physician, nurse, and social work professionals

Expectations of the social work role within healthcare teams was explored utilizing perceptions of physicians, nurses, and social workers from a variety of healthcare settings and specialties. Thematic categories illuminated intraprofessional and interprofessional perceptions of experiences pertinent to the inclusion of social work services. Responsibilities for social work healthcare practice in specialist settings included providing assessments, counseling to address emotional and social wellbeing, assisting in coordination of systems, and management of systemic family issues. Traits expected of the social worker included expressing confidence, communication aptitude, and basic knowledge of medical terminology.

Character Strengths' Change During COVID-19

The COVID-19 had negative effects on individuals and nations worldwide. However, based on literature suggesting that crises can trigger growth, we propose that it may have also triggered individuals' character strengths development, especially among those having experienced moderate levels of difficulty during the pandemic and having received social support. The participants' (N = 1700) 24 character strengths were assessed twice: before and during COVID-19. At the second assessment, participants also reported the level of impact COVID-19 had on their lives, and their perceived social support. MANOVA analysis revealed a general increase in character strengths, with significant - but mainly negligible or small - increases in 17 strengths: appreciation of beauty and excellence, bravery, prudence, creativity, curiosity, fairness, gratitude, honesty, hope, judgment, kindness, leadership, perspective, self-regulation, social intelligence, spirituality, and zest. Across the 24 strengths, the reported level of COVID-19's impact (i.e., low, moderate, or high) was not associated with different changes during the pandemic. Univariate analyses showed that such changes were significant only in curiosity, forgiveness and kindness. The multivariate effect of social support on changes in character strengths was significant. Specifically, it enhanced the increase in love, prudence, curiosity, forgiveness, gratitude, honesty, hope, judgment, leadership, humility and zest during COVID-19, although the interactions effect sizes were small. The results suggest that, in the time frame examined in this study, character development processes triggered by COVID-19 were evident, yet specific changes in strengths were relatively mild. Some of these processes may have been enhanced by social support.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10902-022-00575-6.

Long-COVID and comorbid depression and anxiety two years into the COVID-19 pandemic

Long-COVID, or the persistence of COVID-19 symptoms for months after initial infection, has been shown to impact the lives of those affected. The current study sought to investigate the relationships between long-COVID, COVID-19 related stress, depression, anxiety, and comorbid depression and anxiety outcomes. Data were collected in Winter 2021-2022 from a population of adults enrolled in at least one course across multiple City University of New York (CUNY) campuses. Frequencies and chi-square tests were computed to assess for demographics and relationships to probable diagnoses of depression and anxiety, and binary logistic regressions were computed to assess for the odds of probable comorbid depression and anxiety based on demographics, stressors, and long-COVID. Women participants reported higher odds of probable depression outcomes, and stressor levels were significant correlates of probable anxiety outcomes. Women participants, 3.2 [1.5-6.9], as compared to men, lower-SES participants, 2.16 [1.1-4.2], as compared to higher-SES participants, participants with higher COVID-19 related stress levels, 4.8 [2.0-12.0], as compared to those with low levels, and participants with long-COVID, 3.7 [1.9-7.0], as compared to those without, all had higher odds of probable comorbid depression and anxiety. Findings highlight the importance of social location, stress, and long-COVID, in tandem, as correlates of psychological health during the shifting pandemic.

A Mobile Application-Based Relational Agent as a Health Professional for COVID-19 Patients: Design, Approach, and Implications

Relational Agents' (RAs) ability to maintain socio-emotional relationships with users can be an asset to COVID-19 patients. The goal of this research was to identify principles for designing an RA that can act as a health professional for a COVID-19 patient. We first identified tasks that such an RA can provide by interviewing 33 individuals, who had recovered from COVID-19. The transcribed interviews were analyzed using qualitative thematic analysis. Based on the findings, four sets of hypothetical conversations were handcrafted to illustrate how the proposed RA will execute the identified tasks. These conversations were then evaluated by 43 healthcare professionals in a qualitative study. Thematic analysis was again used to identify characteristics that would be suitable for the proposed RA. The results suggest that the RA must: model clinical protocols; incorporate evidence-based interventions; inform, educate, and remind patients; build trusting relationships, and support their socio-emotional needs. The findings have implications for designing RAs for other healthcare contexts beyond the pandemic.

Caregiving in a Pandemic: Health-Related Socioeconomic Vulnerabilities Among Women Caregivers Early in the COVID-19 Pandemic

PURPOSE

Family and friends who provide regular care for a sick or dependent individual ("caregivers") are at increased risk of health-related socioeconomic vulnerabilities (HRSVs). This study examined pre-pandemic prevalence of and early pandemic changes in HRSVs among women caregivers compared with non-caregivers.

METHODS

A cross-sectional survey was conducted in April 2020 (early pandemic) with 3,200 English-speaking US women aged 18 years or older, 30% of whom identified as caregivers. We modeled adjusted odds of self-reported HRSVs (financial strain, food/housing insecurity, interpersonal violence, transportation/utilities difficulties) before and changes during the early pandemic by caregiving status. Models were adjusted for age, race/ethnicity, marital status, education, income, number of people in household, number of children in household, physical and mental health, and number of comorbidities.

RESULTS

Pre-pandemic, 63% of caregivers and 47% of non-caregivers reported 1 or more vulnerability (P <.01); food insecurity was most prevalent (48% of caregivers vs 33% of non-caregivers, P <.01). In the early pandemic, caregivers had higher odds than non-caregivers of financial strain, both incident (adjusted odds ratio [AOR] = 2.1; 95% CI, 1.6-2.7) and worsening (AOR = 2.0; 95% CI, 1.4-2.8); incident interpersonal violence (AOR = 2.0; 95% CI, 1.5-2.7); incident food insecurity (AOR = 1.6; 95% CI, 1.2-2.1); incident transportation difficulties (AOR = 1.9; 95% CI, 1.3-2.6); and incident housing insecurity (AOR = 1.6; 95% CI, 1.1-2.3).

CONCLUSION

The coronavirus disease 2019 (COVID-19) pandemic increased risk of incident and worsening HRSVs for caregivers more than for non-caregivers. COVID-19 response and recovery efforts should target caregivers to reduce modifiable HRSVs and promote the health of caregivers and those who depend on them.Annals Online First article.

Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence

World is now experiencing a major health calamity due to the coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus clade 2. The foremost challenge facing the scientific community is to explore the growth and transmission capability of the virus. Use of artificial intelligence (AI), such as deep learning, in (i) rapid disease detection from x-ray or computed tomography (CT) or high-resolution CT (HRCT) images, (ii) accurate prediction of the epidemic patterns and their saturation throughout the globe, (iii) forecasting the disease and psychological impact on the population from social networking data, and (iv) prediction of drug-protein interactions for repurposing the drugs, has attracted much attention. In the present study, we describe the role of various AI-based technologies for rapid and efficient detection from CT images complementing quantitative real-time polymerase chain reaction and immunodiagnostic assays. AI-based technologies to anticipate the current pandemic pattern, prevent the spread of disease, and face mask detection are also discussed. We inspect how the virus transmits depending on different factors. We investigate the deep learning technique to assess the affinity of the most probable drugs to treat COVID-19. This article is categorized under:Application Areas > Health CareAlgorithmic Development > Biological Data MiningTechnologies > Machine Learning.

Impact of the COVID-19 Pandemic on Trends in Cardiothoracic Imaging

Introduction

Here, we evaluate the effect of the COVID-19 pandemic on utilization of cardiothoracic imaging studies.

Methods

We queried our radiology record system to retrospectively identify numbers of specific key cardiothoracic imaging studies for five years prior and during the COVID-19 pandemic. Statistical analysis was performed to evaluate changes in the number of exams in 2020 and 2021 compared to 2019.

Results

Five-year retrospective analysis demonstrated progressive increases in nearly all cross-sectional studies. In 2020, daily chest radiograph utilization decreased with an overall number of daily radiographs of 406 (SD = 73.1) compared to 480 per day in 2019 (SD = 82.6) (p < 0.0001). Portable radiograph utilization was increased in 2020 averaging 320 (SD = 68.2) films daily in 2020 compared to 266 (SD = 29.1) in 2019 (p < 0.0001). Utilization of thoracic CT was decreased during the pandemic, with 21.8 (SD = 12.9) studies daily compared to 52.0 (SD = 21.4) (p < 0.0001) studies daily in 2019. Cardiac imaging utilization was also substantially decreased in 2020 compared to 2019, averaging a total of 3.8 (SD = 3.2) versus 10.8 (SD = 6.6) studies daily and 0.88 (SD = 1.7) versus 2.5 (SD = 2.3) studies daily for CT and MRI, respectively. Evaluation of cardiothoracic imaging for the subsequent 18 months after New York's entry to phase I recovery in June 2020 demonstrated that by one year after the emergence of COVID-19 imaging utilization had recovered to prepandemic levels. Cardiac imaging continued to increase throughout the chronic phase of the COVID-19 pandemic, reaching almost twice the prepandemic levels by the end of 2021.

Conclusion

COVID-19 has had far-reaching effects on medicine and public health. Here, we demonstrate decreases in all cross-sectional cardiothoracic imaging studies, closely mirroring findings in other fields during the height of the pandemic, which have since rebounded.

Post-COVID Syndrome: The Research Progress in the Treatment of Pulmonary sequelae after COVID-19 Infection

Post-COVID syndrome or long COVID is defined as the persistence of symptoms after confirmed SARS-CoV-2 infection, the pathogen responsible for coronavirus disease. The content herein presented reviews the reported long-term consequences and aftereffects of COVID-19 infection and the potential strategies to adopt for their management. Recent studies have shown that severe forms of COVID-19 can progress into acute respiratory distress syndrome (ARDS), a predisposing factor of pulmonary fibrosis that can irreversibly compromise respiratory function. Considering that the most serious complications are observed in the airways, the inhalation delivery of drugs directly to the lungs should be preferred, since it allows to lower the dose and systemic side effects. Although further studies are needed to optimize these techniques, recent studies have also shown the importance of in vitro models to recreate the SARS-CoV-2 infection and study its sequelae. The information reported suggests the necessity to develop new inhalation therapies in order to improve the quality of life of patients who suffer from this condition.

An overview of post COVID sequelae

After healing from COVID-19, patients often experience a slew of symptoms known as post COVID-19 sequelae. Despite the fact that the SARS-CoV-2 pandemic is still ongoing, post-Covid-19 syndrome is already a difficult problem to address: long-term multiorgan sequelae, while frequently described, have yet to be systematized. As a result, post-Covid-19 syndrome can have a major influence on surviving patients' working capacity as well as their personal lives. The clinical spectrum and long-term course of this clinical entity must be better understood. Post-Covid syndrome affects a wide spectrum of individuals (16-87%), with pneumological and cognitive symptoms being the most common. Pulmonary fibrosis was the most common organic consequence seen in post-Covid patients. In conclusion, post-Covid-19 syndrome can have a major impact on the health of survivors. Working-age patients should seek rehabilitation and follow-up in interdisciplinary rehabilitation programmes. Given the pandemic's global extent, it's obvious that COVID-19-related healthcare demands will continue to climb for the foreseeable future. For COVID-19 survivors' long-term mental and physical health, present outpatient infrastructure will be utilised, scalable healthcare models will be built, and cross-disciplinary collaboration will be required.

Association of stay-at-home orders and COVID-19 incidence and mortality in rural and urban United States: a population-based study

OBJECTIVE

We examined the association between stay-at-home order implementation and the incidence of COVID-19 infections and deaths in rural versus urban counties of the United States.

DESIGN

We used an interrupted time-series analysis using a mixed effects zero-inflated Poisson model with random intercept by county and standardised by population to examine the associations between stay-at-home orders and county-level counts of daily new COVID-19 cases and deaths in rural versus urban counties between 22 January 2020 and 10 June 2020. We secondarily examined the association between stay-at-home orders and mobility in rural versus urban counties using Google Community Mobility Reports.

INTERVENTIONS

Issuance of stay-at-home orders.

PRIMARY AND SECONDARY OUTCOME MEASURES

Co-primary outcomes were COVID-19 daily incidence of cases (14-day lagged) and mortality (26-day lagged). Secondary outcome was mobility.

RESULTS

Stay-at-home orders were implemented later (median 30 March 2020 vs 28 March 2020) and were shorter in duration (median 35 vs 54 days) in rural compared with urban counties. Indoor mobility was, on average, 2.6%-6.9% higher in rural than urban counties both during and after stay-at-home orders. Compared with the baseline (pre-stay-at-home) period, the number of new COVID-19 cases increased under stay-at-home by incidence risk ratio (IRR) 1.60 (95% CI, 1.57 to 1.64) in rural and 1.36 (95% CI, 1.30 to 1.42) in urban counties, while the number of new COVID-19 deaths increased by IRR 14.21 (95% CI, 11.02 to 18.34) in rural and IRR 2.93 in urban counties (95% CI, 1.82 to 4.73). For each day under stay-at-home orders, the number of new cases changed by a factor of 0.982 (95% CI, 0.981 to 0.982) in rural and 0.952 (95% CI, 0.951 to 0.953) in urban counties compared with prior to stay-at-home, while number of new deaths changed by a factor of 0.977 (95% CI, 0.976 to 0.977) in rural counties and 0.935 (95% CI, 0.933 to 0.936) in urban counties. Each day after stay-at-home orders expired, the number of new cases changed by a factor of 0.995 (95% CI, 0.994 to 0.995) in rural and 0.997 (95% CI, 0.995 to 0.999) in urban counties compared with prior to stay-at-home, while number of new deaths changed by a factor of 0.969 (95% CI, 0.968 to 0.970) in rural counties and 0.928 (95% CI, 0.926 to 0.929) in urban counties.

CONCLUSION

Stay-at-home orders decreased mobility, slowed the spread of COVID-19 and mitigated COVID-19 mortality, but did so less effectively in rural than in urban counties. This necessitates a critical re-evaluation of how stay-at-home orders are designed, communicated and implemented in rural areas.

Therapeutic and prophylactic effect of flavonoids in post-COVID-19 therapy

The high incidence of post-covid symptoms in humans confirms the need for effective treatment. Due to long-term complications across several disciplines, special treatment programs emerge for affected patients, emphasizing multidisciplinary care. For these reasons, we decided to look at current knowledge about possible long-term complications of COVID-19 disease and then present the effect of flavonoids, which could help alleviate or eliminate complications in humans after overcoming the COVID-19 infection. Based on articles published from 2003 to 2021, we summarize the flavonoids-based molecular mechanisms associated with the post-COVID-19 syndrome and simultaneously provide a complex view regarding their prophylactic and therapeutic potential. Review clearly sorts out the outcome of post-COVID-19 syndrome according particular body systems. The conclusion is that flavonoids play an important role in prevention of many diseases. We suggest that flavonoids as critical nutritional supplements, are suitable for the alleviation and shortening of the period associated with the post-COVID-19 syndrome. The most promising flavonoid with noteworthy therapeutic and prophylactic effect appears to be quercetin.

Covid-19 sequelae in working age patients: A systematic review

Despite the SARS-CoV-2 pandemic not yet being under control, post-Covid-19 syndrome is already a challenging topic: long-term multiorgan sequelae, although increasingly described, have not yet been systematized. As post-Covid-19 syndrome can significantly impact both the working capacity and the relationship life of surviving patients, we performed a systematic review of the evidence published over the last year and currently available in medical literature search databases (MEDLINE/Pubmed) and searching clinical trial registries, to evaluate the available evidence among workers. From 31 publications that initially matched inclusion criteria, 13 studies have been considered suitable for relevance and age of subjects. A wide range of patients (16%-87%) have post-Covid syndrome; pneumological and neuropsychological symptoms were the most common disorders reported. The most frequent organic sequel found in post-Covid patients was pulmonary fibrosis. The number of symptoms during acute SARS-CoV-2 infection, severity of the disease, and high serum levels of d-dimer were related to high risk of post-Covid syndrome. In conclusion, post-Covid-19 syndrome can significantly impact the health conditions of surviving patients. Rehabilitation and follow-up in multidisciplinary rehabilitation programs should be considered for working-age patients.

Healthcare Utilization Among Patients Diagnosed with COVID-19 in a Large Integrated Health System

Background

The demands for healthcare resources following a COVID-19 diagnosis are substantial, but not currently quantified.

Objective

To describe trends in healthcare utilization within 180 days for patients diagnosed with COVID-19 and identify patient factors associated with increased healthcare use.

Design

Observational cohort study.

Patients

A total of 64,011 patients with a test-confirmed COVID-19 diagnosis from March to September 2020 in a large integrated healthcare system in Southern California.

Main Measures

Overall healthcare utilization during the 180 days following COVID-19 diagnosis, as well as encounter types and reasons for visits during the first 30 days. Poisson regression was used to identify patient factors associated with higher utilization. Analyses were performed separately for patients who were and were not hospitalized for COVID-19.

Key Results

Healthcare utilization was about twice as high for hospitalized patients compared to non-hospitalized patients in all time periods. The average number of visits was highest in the first 30 days (hospitalized: 12.3 visits/30 person-days; non-hospitalized: 6.6) and gradually decreased over time. In the first 30 days, the majority of healthcare visits were telehealth encounters (hospitalized: 9.0 visits; non-hospitalized: 5.6 visits), and the most prevalent reasons for visits were COVID-related diagnoses, COVID-related symptoms, and respiratory-related conditions. For hospitalized patients, older age (≥65: RR 1.27, 95% CI 1.15–1.41), female gender (RR 1.07, 95% CI 1.05–1.09), and higher BMI (≥40: RR 1.07, 95% CI 1.03–1.10) were associated with higher total utilization. For non-hospitalized patients, older age, female gender, higher BMI, non-white race/ethnicity, former smoking, and greater number of pre-existing comorbidities were all associated with increased utilization.

Conclusions

Patients with COVID-19 seek healthcare frequently within 30 days of diagnosis, placing high demands on health systems. Identifying ways to support patients diagnosed with COVID-19 while adequately providing the usual recommended care to our communities will be important as we recover from the pandemic.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11606-021-07139-z.

The Impact of Sociodemographic, Nutritional, and Health Factors on the Incidence and Complications of COVID-19 in Egypt: A Cross-Sectional Study

This study was intended to explore sociodemographic, nutritional, and health-related factors on the incidence of COVID-19 infection within the Egyptian population by assessing the frequency and determinants of post-COVID-19 symptoms and complications. A cross-sectional study using a structured survey on 15,166 participants was adopted. The results revealed common symptoms including fever (79.1%), cough (74.5%), anosmia& ageusia (68.4%), and dyspnea (66.9%). The patients were nonsmokers (83.9%), while 9.7% were mild smokers. The percentage of infected patients with comorbidities versus those without comorbidities were 29%, 71%, respectively. The highest incidence of infection was in those patients with hypertension (14.8%) and diabetes (10.9%), especially females with age >50 years and obesity (BMI; 30−39.9). The highest risks were observed for anticoagulants in the age above 50 years, morbid obesity, presence of comorbidities, and being a healthcare worker. The predictors of clot risk were in the age above 50 years, non-educated, and eating meat and eggs. Nonetheless, the highest risk of using antidepressants was in patients >50 years and those who traveled abroad. These findings and similarities within the surrounding region, the Middle East, North Africa, and South Europe, indicate the possibility of sharing the same viral strain and characteristics that may predict a similar vaccine efficacy and response.

An mHealth App for Fibromyalgia-like Post-COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data

Background

Post–COVID-19 syndrome, also referred as “long covid,” describes persisting symptoms after SARS-CoV-2 infection, including myalgia, fatigue, respiratory, or neurological symptoms. Objective symptoms are often lacking, thus resembling a fibromyalgia-like syndrome. Digital therapeutics have shown efficiency in similar chronic disorders such as fibromyalgia, offering specific disease monitoring and interventions such as cognitive behavioral therapy or physical and respiratory exercise guidance.

Objective

This protocol aims to study the requirements and features of a new mobile health (mHealth) app among patients with fibromyalgia-like post–COVID-19 syndrome in a clinical trial.

Methods

We created a web application prototype for the post–COVID-19 syndrome called “POCOS,” as a web-based rehabilitation tool aiming to improve clinical outcomes. Patients without organ damage or ongoing inflammation will be included in the study. App use will be assessed through user experience questionnaires, focus groups, and clinical data analysis. Subsequently, we will analyze cross-sectional and longitudinal clinical data.

Results

The developed mHealth app consists of a clinically adapted app interface with a simplified patient-reported outcome assessment, monitoring of medical interventions, and disease activity as well as web-based instructions for specific physical and respiratory exercises, stress reduction, and lifestyle instructions. The enrollment of participants is expected to be carried out in November 2021.

Conclusions

User experience plays an important role in digital therapeutics and needs to be clinically tested to allow further improvement. We here describe this process for a new app for the treatment of the fibromyalgia-like post–COVID-19 syndrome and discuss the relevance of the potential outcomes such as natural disease course and disease phenotypes.

International Registered Report Identifier (IRRID)

PRR1-10.2196/32193

Comparison of Complications after Coronavirus Disease and Seasonal Influenza, South Korea

We conducted a retrospective cohort study using claims data to determine the number and types of complications from coronavirus disease (COVID-19) that patients experience and which patients are more vulnerable to those complications compared with complications in patients with influenza. Among the cohort, 19.6% of COVID-19 patients and 28.5% of influenza patients had >1 new complication. In most complications, COVID-19 patients had lower or similar relative risk compared with influenza patients; exceptions were hair loss, heart failure, mood disorder, and dementia. Young to middle-aged adult COVID-19 patients and patients in COVID-19 hotspots had a higher risk for complications. Overall, COVID-19 patients had fewer complications than influenza patients, but caution is necessary in high-risk groups. If the fatality rate for COVID-19 is reduced through vaccination, management strategies for this disease could be adapted, similar to those for influenza management, such as easing restrictions on economic activity or requirements for close-contact isolation.

Determinants of COVID-19-Related Length of Hospital Stays and Long COVID in Ghana: A Cross-Sectional Analysis

OBJECTIVES

There is paucity of data on determinants of length of COVID-19 admissions and long COVID, an emerging long-term sequel of COVID-19, in Ghana. Therefore, this study identified these determinants and discussed their policy implications.

METHOD

Data of 2334 patients seen at the main COVID-19 treatment centre in Ghana were analysed in this study. Their characteristics, such as age, education level and comorbidities, were examined as explanatory variables. The dependent variables were length of COVID-19 hospitalisations and long COVID. Negative binomial and binary logistic regressions were fitted to investigate the determinants.

RESULT

The regression analyses showed that, on average, COVID-19 patients with hypertension and diabetes mellitus spent almost 2 days longer in hospital (p = 0.00, 95% CI = 1.42-2.33) and had 4 times the odds of long COVID (95% CI = 1.61-10.85, p = 0.003) compared to those with no comorbidities. In addition, the odds of long COVID decreased with increasing patient's education level (primary OR = 0.73, p = 0.02; secondary/vocational OR = 0.26, p = 0.02; tertiary education OR = 0.23, p = 0.12).

CONCLUSION

The presence of hypertension and diabetes mellitus determined both length of hospitalisation and long COVID among patients with COVID-19 in Ghana. COVID-19 prevention and management policies should therefore consider these factors.

Hybrid transthoracic oesophagectomy due to carcinoma with complications after COVID-19 pneumonia – A case report

Introduction and importance

This case report describes postoperative complications in a patient after hybrid oesophagectomy for oesophageal carcinoma after COVID pneumonia. The global COVID-19 pandemic affected cancer patients indicated for surgery. Covid 19 may worsen the results of oesophageal cancer surgery. More similar studies are needed.

Case presentation

A 69-year-old male was diagnosed with squamous cell carcinoma of the middle oesophagus based on PET/CT without disease generalisation. His stenotic tumour required a nutritive jejunostomy, with subsequent neoadjuvant radiochemotherapy indicated according to the CROSS protocol. The patient developed COVID pneumonia during the cancer therapy. After managing the COVID pneumonia, oncological therapy was completed and a hybrid oesophagectomy was performed 8 weeks later. Serious complications (respiratory failure, septic shock, anastomosis dehiscence) developed during the postoperative period. All complications were managed therapeutically. The patient was type IVb according to the Clavien-Dindo classification.

Clinical discussion

Postoperative complications may develop in any patient operated for oesophageal carcinoma, especially if high-risk predictive factors are present. The question arises as to how much the post-COVID condition affected the onset of these serious complications.

Conclusion

Post-COVID patients are at a risk of developing post-COVID syndrome, which may lead to a wide range of symptoms in the affected organs. Further studies on the relationship between COVID-19 and oesophagectomy for oesophageal carcinoma will be necessary to clarify the relationship between the complications during the postoperative period in patients with oesophageal malignancy.

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Hybrid transthoracic oesophagectomy with complications

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Complications after COVID-19 in patient with oesophageal cancer

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Covid pneumonia complicates oesophagectomy.

On the Role of Geriatric Services in the Diagnosis and Monitoring of Outcomes of Post-Covid Syndrome (Review)

In addition to the rapid spread of the pandemic in waves across the globe today, there is a growing problem called “long-COVID-19,” a term that describes the long-term effects of the novel coronavirus infection COVID-19. How the disease proceeds after “recovery,” including long-term physical and psychological health consequences, and the future of COVID-19 survivors remains largely unclear. This is especially true for older age groups. This article summarizes the experience of foreign studies aimed at determining the duration and clarifying the nature of multi-organ complications after suffering from COVID-19, as well as ways of the long-term rehabilitation of patients in older age groups with post-COVID syndrome.

Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications

The recent outbreak of novel coronavirus disease (COVID-19) has resulted in healthcare crises across the globe. Moreover, the persistent and prolonged complications of post-COVID-19 or long COVID are also putting extreme pressure on hospital authorities due to the constrained healthcare resources. Out of many long-lasting post-COVID-19 complications, heart disease has been realized as the most common among COVID-19 survivors. The motivation behind this research is the limited availability of the post-COVID-19 dataset. In the current research, data related to post-COVID complications are collected by personally contacting the previously infected COVID-19 patients. The dataset is preprocessed to deal with missing values followed by oversampling to generate numerous instances, and model training. A binary classifier based on a stacking ensemble is modeled with deep neural networks for the prediction of heart diseases, post-COVID-19 infection. The proposed model is validated against other baseline techniques, such as decision trees, random forest, support vector machines, and artificial neural networks. Results show that the proposed technique outperforms other baseline techniques and achieves the highest accuracy of 93.23%. Moreover, the results of specificity (95.74%), precision (95.24%), and recall (92.05%) also prove the utility of the adopted approach in comparison to other techniques for the prediction of heart diseases.

Post COVID-19 pulmonary complications; a single center experience

INTRODUCTION

Although the rate and severity of complications after coronavirus 2019 disease (COVID-19) resolution is currently unknown, evidence regarding their presence is increasing in the literature. This study presents a series of cases with post COVID-19 short-term pulmonary complications.

METHODS

This is a single center retrospective case series study. The demographic and clinical data were collected from the center's electronic records. All the included cases were confirmed COVID-19 patients who had pulmonary complications even after their recovery.

RESULTS

Nineteen COVID-19 patients were involved in this study. Fourteen of them were male (73.7%) and only 5 (26.3%) cases were female, with a mean age of 52.05 years (26-77). All of the patients developed severe COVID-19 and were admitted to intensive care unit (ICU). The average infection duration was 13.5 days (10-21). The most common complaints after recovery from COVID-19 were shortness of breath, fever, and hemoptysis. Computed tomography scan showed different pulmonary abnormalities between the cases. Different surgical procedures were performed for the patients according to their conditions, such as decortications, lobectomy, and bullectomy. More than half of the patients (n = 10) recovered and were discharged from hospital without complications, five patients were admitted to the ICU, 3 cases developed mucormycosis, and one case passed away.

CONCLUSION

Following the resolution of COVID-19, patients may experience severe pulmonary complications that may last for months and can affect quality of life, ICU admission, or even death.

Postacute Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A State-of-the-Art Review

The vast majority of patients (>99%) with severe acute respiratory syndrome coronavirus 2 survive immediate infection but remain at risk for persistent and/or delayed multisystem. This review of published reports through May 31, 2021, found that manifestations of postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection (PASC) affect between 33% and 98% of coronavirus disease 2019 survivors and comprise a wide range of symptoms and complications in the pulmonary, cardiovascular, neurologic, psychiatric, gastrointestinal, renal, endocrine, and musculoskeletal systems in both adult and pediatric populations. Additional complications are likely to emerge and be identified over time. Although data on PASC risk factors and vulnerable populations are scarce, evidence points to a disproportionate impact on racial/ethnic minorities, older patients, patients with preexisting conditions, and rural residents. Concerted efforts by researchers, health systems, public health agencies, payers, and governments are urgently needed to better understand and mitigate the long-term effects of PASC on individual and population health.

Central Sensitization Phenotypes in Post Acute Sequelae of SARS-CoV-2 Infection (PASC): Defining the Post COVID Syndrome

OBJECTIVE

To develop and implement criteria for description of post COVID syndrome based on analysis of patients presenting for evaluation at Mayo Clinic Rochester between November 2019 and August 2020.

METHODS

A total of 465 patients with a history of testing positive for COVID-19 were identified and their medical records reviewed. After a thorough review, utilizing the DELPHI methods by an expert panel, 42 (9%) cases were identified with persistent central sensitization (CS) symptoms persisting after the resolution of acute COVID-19, herein referred to as Post COVID syndrome (PoCoS). In this report we describe the baseline characteristics of these PoCoS patients.

RESULTS

Among these 42 PoCoS patients, the mean age was 46.2 years (median age was 46.5 years). Pain (90%), fatigue (74%), dyspnea (43%), and orthostatic intolerance (38%) were the most common symptoms. The characteristics of an initial 14 patients were utilized for the development of clinical criteria via a modified Delphi Method by a panel of experts in central sensitization disorders. These criteria were subsequently applied in the identification of 28 additional cases of suspected PoCoS. A 2-reviewer system was used to analyze agreement with using the criteria, with all 28 cases determined to be either probable or possible cases by the reviewers. Inter-reviewer agreement using these proposed defining criteria was high with a Cohen's alpha of .88.

CONCLUSIONS

Here we present what we believe to be the first definitional criteria for Post COVID syndrome. These may be useful in clinical phenotyping of these patients for targeted treatment and future research.

Phase-Adapted Rehabilitation for Acute Coronavirus Disease-19 Patients and Patient With Long-term Sequelae of Coronavirus Disease-19

ABSTRACT

Since the beginning of the COVID-19 pandemic in early 2020, many papers have highlighted the need for the rehabilitation of patients with SARS-CoV-2 infection. Most papers refer to the need for respiratory rehabilitation in the acute phase; however, the fact that the infection also affects other organ systems has to be considered in rehabilitation interventions. Long-term symptoms in many cases severely limit activity and participation and alter quality of life, leading to rehabilitation needs. This article proposes a phase-adapted model of linking the acute, postacute, and long-term symptoms of COVID-19 with the well-established matrix of acute, postacute, and long-term rehabilitation services. A review of currently available recommendations for phase-adapted rehabilitation strategies, including the relevance of prehabilitation within this context, is provided.

Psychological distress among survivors of moderate-to-critical COVID-19 illness: A multicentric prospective cross-sectional study

PURPOSE

Coronavirus disease-2019 (COVID-19) is predicted to have long-term sequelae on the physical and mental health of survivors. We aim to calculate the prevalence of psychological distress in moderate-to-critical survivors of COVID-19.

MATERIALS AND METHODS

The patients discharged from the hospital after moderate-to-critical COVID-19 were interviewed using e-mail at 30 and 60 days for anxiety, depression, and posttraumatic stress disorder (PTSD) using Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and PTSD Check List-5 questionnaire, respectively.

RESULTS

In 103 patients (96% were immigrant workers), the prevalence rate of clinically significant anxiety, depression, and PTSD was 21.4%, 12.7%, and 8.7% at day 30 and 9.5%, 7.1%, and 4.7% at day 60, respectively. There was significantly higher anxiety in patients of Indian nationality and depression with preexisting chronic illness.

CONCLUSION

There is a high prevalence rate of clinically significant psychological distress among COVID-19 survivors, and we propose a formal psychiatric assessment and long-term follow-up.

Urgent care center wait times increase for COVID-19 results in August 2020, with rapid testing availability limited

BACKGROUND

In a response to the pandemic, urgent care centers (UCCs) have gained a critical role as a common location for COVID-19 testing. We sought to characterize the changes in testing accessibility at UCCs between March and August 2020 on the basis of testing availability (including rapid antigen testing), wait time for test results, cost of visits, and cost of tests.

METHODS

Data were collected using a secret shopper methodology. Researchers contacted 250 UCCs in 10 states. Investigators used a standardized script to survey centers on their COVID-19 testing availability and policies. UCCs were initially contacted in March and re-called in August. T-tests and chi-square tests were conducted to identify differences between March and August data and differences by center classification.

RESULTS

Our results indicate that both polymerase chain reaction (PCR) tests to detect COVID-19 genetic material and rapid antigen COVID-19 tests have increased in availability. However, wait times for PCR test results have significantly increased to an average of 5.79 days. Additionally, a high proportion of UCCs continue to charge for tests and visits and no significant decrease was found in the proportion of UCCs that charge for COVID-19 testing from March to August. Further, no state reported a majority of UCCs with rapid testing available, indicating an overall lack of rapid testing.

CONCLUSIONS

From March to August, COVID-19 testing availability gradually improved. However, many barriers lie in access to COVID-19 testing, including testing costs, visit costs, and overall lack of availability of rapid testing in the majority of UCCs. Despite the passage of the CARES Act, these results suggest that there is room for additional policy to improve accessibility to testing, specifically rapid testing.

Multiorgan impairment in low-risk individuals with post-COVID-19 syndrome: a prospective, community-based study

OBJECTIVE

To assess medium-term organ impairment in symptomatic individuals following recovery from acute SARS-CoV-2 infection.

DESIGN

Baseline findings from a prospective, observational cohort study.

SETTING

Community-based individuals from two UK centres between 1 April and 14 September 2020.

PARTICIPANTS

Individuals ≥18 years with persistent symptoms following recovery from acute SARS-CoV-2 infection and age-matched healthy controls.

INTERVENTION

Assessment of symptoms by standardised questionnaires (EQ-5D-5L, Dyspnoea-12) and organ-specific metrics by biochemical assessment and quantitative MRI.

MAIN OUTCOME MEASURES

Severe post-COVID-19 syndrome defined as ongoing respiratory symptoms and/or moderate functional impairment in activities of daily living; single-organ and multiorgan impairment (heart, lungs, kidneys, liver, pancreas, spleen) by consensus definitions at baseline investigation.

RESULTS

201 individuals (mean age 45, range 21-71 years, 71% female, 88% white, 32% healthcare workers) completed the baseline assessment (median of 141 days following SARS-CoV-2 infection, IQR 110-162). The study population was at low risk of COVID-19 mortality (obesity 20%, hypertension 7%, type 2 diabetes 2%, heart disease 5%), with only 19% hospitalised with COVID-19. 42% of individuals had 10 or more symptoms and 60% had severe post-COVID-19 syndrome. Fatigue (98%), muscle aches (87%), breathlessness (88%) and headaches (83%) were most frequently reported. Mild organ impairment was present in the heart (26%), lungs (11%), kidneys (4%), liver (28%), pancreas (40%) and spleen (4%), with single-organ and multiorgan impairment in 70% and 29%, respectively. Hospitalisation was associated with older age (p=0.001), non-white ethnicity (p=0.016), increased liver volume (p<0.0001), pancreatic inflammation (p<0.01), and fat accumulation in the liver (p<0.05) and pancreas (p<0.01). Severe post-COVID-19 syndrome was associated with radiological evidence of cardiac damage (myocarditis) (p<0.05).

CONCLUSIONS

In individuals at low risk of COVID-19 mortality with ongoing symptoms, 70% have impairment in one or more organs 4 months after initial COVID-19 symptoms, with implications for healthcare and public health, which have assumed low risk in young people with no comorbidities.

TRIAL REGISTRATION NUMBER

NCT04369807; Pre-results.

A multi-centre, cross-sectional study on coronavirus disease 2019 in Bangladesh: clinical epidemiology and short-term outcomes in recovered individuals

Coronavirus disease 2019 (COVID-19) rapidly became a global pandemic. This study aimed to investigate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) -associated epidemiology and clinical outcomes in Bangladesh in order to understand the future course of the COVID-19 pandemic and develop approaches to prevention. A cross-sectional study based on retrospective interviews was conducted on 1021 individuals with RT-PCR-confirmed COVID-19 admitted in six different hospitals in Bangladesh and who recovered 4 weeks before the interview date. Of the 1021 patients, 111 (10.9%) were asymptomatic and the other 910 (89.1%) were symptomatic. Higher prevalence of COVID-19 was found in the male population (75%), in cohorts with B-positive blood group (36.3%) and in the 31-40 years age group. Common symptoms observed in our study participants were fever (72.4%), cough (55.9%), loss of taste (40.7%) and body ache (40%); whereas among the biochemical parameters, neutrophil count (46.4%), D-dimer (46.1%) and ferritin (37.9%) levels were elevated. Among the recovered individuals, short-term outcomes including pains and aches (31.8%), weakened attention span (24.4%) and anxiety or depression (23.1%) were also significantly prevalent in the symptomatic cases with comorbidities. Our study showed that in Bangladesh, adult males aged between 31 and 40 years were more vulnerable to developing COVID-19. It also indicated a rising trend of asymptomatic cases as the pandemic progressed. As a consequence, deployment of interventions to curb further spread of community infection is necessary to avoid grave outcomes of COVID-19 in Bangladesh.

Clinical Outcomes and Inflammatory Markers by HIV Serostatus and Viral Suppression in a Large Cohort of Patients Hospitalized With COVID-19

BACKGROUND

Limited data exist about clinical outcomes and levels of inflammatory and immune markers among people hospitalized with COVID-19 by HIV serostatus and by HIV viral suppression.

SETTING

Large tertiary care health system in the Bronx, NY, USA.

METHODS

We conducted a retrospective cohort study of 4613 SARS-CoV-2 PCR-positive patients admitted between March 10, 2020, and May 11, 2020. We examined in-hospital intubation, acute kidney injury (AKI), hospitalization length, and in-hospital mortality by HIV serostatus, and by HIV-viral suppression and CD4 counts among people living with HIV (PLWH) using adjusted competing risks regression. We also compared immune and inflammatory marker levels by HIV serostatus and viral suppression.

RESULTS

Most patients were either non-Hispanic Black (36%) or Hispanic (37%); 100/4613 (2.2%) were PLWH, among whom 15 had detectable HIV viral load. PLWH compared to patients without HIV had increased intubation rates (adjusted hazard ratio 1.73 [95% CI: 1.12 to 2.67], P = 0.01). Both groups had similar rates of AKI, length of hospitalization, and death. No (0%) virally unsuppressed PLWH were intubated or died, versus 21/81 (26%, P = 0.04) and 22/81 (27%, P = 0.02) of virally suppressed PLWH, respectively. Among PLWH, higher CD4 T-cell counts were associated with increased intubation rates. C-reactive protein, IL-6, neutrophil counts, and ferritin levels were similar between virally suppressed PLWH and patients without HIV, but significantly lower for unsuppressed PLWH (all P < 0.05).

CONCLUSIONS

PLWH had increased risk of intubation but similarly frequent rates of AKI and in-hospital death as those without HIV. Findings of no intubations or deaths among PLWH with unsuppressed HIV viral load warrant further investigation.

Global Initiative for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease. The 2020 GOLD Science Committee Report on COVID-19 and Chronic Obstructive Pulmonary Disease

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has raised many questions about the management of patients with chronic obstructive pulmonary disease (COPD) and whether modifications of their therapy are required. It has raised questions about recognizing and differentiating coronavirus disease (COVID-19) from COPD given the similarity of the symptoms. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) Science Committee used established methods for literature review to present an overview of the management of patients with COPD during the COVID-19 pandemic. It is unclear whether patients with COPD are at increased risk of becoming infected with SARS-CoV-2. During periods of high community prevalence of COVID-19, spirometry should only be used when it is essential for COPD diagnosis and/or to assess lung function status for interventional procedures or surgery. Patients with COPD should follow basic infection control measures, including social distancing, hand washing, and wearing a mask or face covering. Patients should remain up to date with appropriate vaccinations, particularly annual influenza vaccination. Although data are limited, inhaled corticosteroids, long-acting bronchodilators, roflumilast, or chronic macrolides should continue to be used as indicated for stable COPD management. Systemic steroids and antibiotics should be used in COPD exacerbations according to the usual indications. Differentiating symptoms of COVID-19 infection from chronic underlying symptoms or those of an acute COPD exacerbation may be challenging. If there is suspicion for COVID-19, testing for SARS-CoV-2 should be considered. Patients who developed moderate-to-severe COVID-19, including hospitalization and pneumonia, should be treated with evolving pharmacotherapeutic approaches as appropriate, including remdesivir, dexamethasone, and anticoagulation. Managing acute respiratory failure should include appropriate oxygen supplementation, prone positioning, noninvasive ventilation, and protective lung strategy in patients with COPD and severe acute respiratory distress syndrome. Patients who developed asymptomatic or mild COVID-19 should be followed with the usual COPD protocols. Patients who developed moderate or worse COVID-19 should be monitored more frequently and accurately than the usual patients with COPD, with particular attention to the need for oxygen therapy.

Clinical characteristics and short term outcomes after recovery from COVID-19 in patients with and without diabetes in Bangladesh

BACKGROUND AND AIMS

This study investigated the clinical manifestations, outcomes and long-term complications of COVID-19 inpatients in southern part of Bangladesh while emphasizing on individuals having diabetes.

METHODS

A cross-sectional study was conducted for a sample of COVID-19 inpatients across four different hospitals of Bangladesh between April 1and June 30, 2020. Variation in clinical characteristics, contact history, comorbidities, treatment patterns, and immediate post COVID complications were investigated.

RESULTS

There were 734 COVID-19 presentations in this study of which 19.8% of patients had diabetes and 76% of the COVID-19 patients were male. Among biochemical parameters, plasma glucose, D-dimer, and Troponin-I levels were significantly elevated amidst the cohort with diabetes. The frequency of patients requiring insulin increased threefold during infection with SARS CoV-2. 1.4% patients developed new onset of diabetes mellitus. A number of COVID-19 patients with diabetes have been suffering from complications post-recovery including pain, discomfort, and sleep disturbance.

CONCLUSION

Individuals with diabetes have experienced a severe manifestation of COVID-19 and post disease complications. Further in-depth studies focused on larger sample sizes are entailed to assess the relationships elaborately.