Comorbidity and its Impact on Patients with COVID-19

Impact of an Interdisciplinary Team and Traditional Therapy on Functional Recovery of Patients With Covid-19 in Inpatient Rehabilitation

This is a retrospective study that evaluated the medical charts of prior patients who were admitted to a hospital with the coronavirus, to trace changes in their function-based capabilities after receiving inpatient rehabilitation. Data related to demographics and comorbidities as well as self-care and functional mobility capabilities were reviewed at admission and discharge. Under the care of an interdisciplinary team and traditional therapy, patients with Covid-19 in this study demonstrated positive recoveries. The results suggested the effectiveness of having an interdisciplinary model and the potential influence of demographics and comorbidities on recovery from the Covid-19 virus.

ACE-2 Blockade & TMPRSS2 Inhibition Mitigate SARS-CoV-2 Severity Following Cigarette Smoke Exposure in Airway Epithelial Cells In Vitro

Cigarette smoking is associated with COVID-19 prevalence and severity, but the mechanistic basis for how smoking alters SARS-CoV-2 pathogenesis is unknown. A potential explanation is that smoking alters the expression of the SARS-CoV-2 cellular receptor and point of entry, angiotensin converting enzyme-2 (ACE-2), and its cofactors including transmembrane protease serine 2 (TMPRSS2). We investigated the impact of cigarette smoking on the expression of ACE-2, TMPRSS2, and other known cofactors of SARS-CoV-2 infection and the resultant effects on infection severity in vitro. Cigarette smoke extract (CSE) exposure increased ACE-2 and TMPRSS2 mRNA expression compared to air control in ferret airway cells, Calu-3 cells, and primary human bronchial epithelial (HBE) cells derived from normal and COPD donors. CSE-exposed ferret airway cells inoculated with SARS-CoV-2 had a significantly higher intracellular viral load versus vehicle-exposed cells. Likewise, CSE-exposure increased both SARS-CoV-2 intracellular viral load and viral replication in both normal and COPD HBE cells over vehicle control. Apoptosis was increased in CSE-exposed, SARS-CoV-2-infected HBE cells. Knockdown of ACE-2 via an antisense oligonucleotide (ASO) reduced SARS-CoV-2 viral load and infection in CSE-exposed ferret airway cells that was augmented by co-administration of camostat mesylate to block TMPRSS2 activity. Smoking increases SARS-CoV-2 infection via upregulation of ACE2 and TMPRSS2.

Predictive value of invasive mechanical ventilation parameters for mortality in COVID-19 related ARDS: a retrospective cohort study

The 2019 coronavirus (COVID-19) can generate acute respiratory distress syndrome (ARDS), requiring advanced management within the Intensive Care Unit (ICU) using invasive mechanical ventilation (IMV However, managing this phenomenon has seen learning and improvements through direct experience. Therefore, this study aims were to describe the assessment of the different IMV variables in patients with post-COVID-19 hospitalized in the ICU and their relation with mortality. Observational and retrospective study. The sample was divided into two, the surviving group (SG) and the non-surviving group (NSG). Clinical data were extracted from the electronic clinical file and the respiratory therapist record sheet. The following information was obtained: Patient medical history: gender, age, co-morbidities, arterial gases, days on IMV, and IMV parameters. Out of a total of 101 patients, the total mortality was 32%. There was a significant decrease in respiratory rate (RR) (29.12 ± 4.24-26.78 ± 3.59, p = 0.006), Driving pressure (DP) (11.33 ± 2.39-9.67 ± 1.84, p = 0.002), Ventilatory rate (VR) (2.26 ± 0.66-1.89 ± 0.45, p = 0.001) and a significant rise in Static compliance (Cest) (35.49 ± 8.64-41.45 ± 9.62, p = 0.003) and relation between Arterial oxygen pressure/Inspirated oxygen fraction (PaO2/FiO2) (201.5 ± 53.98- 227.8 ± 52.11, p = 0.008) after 72 h of IMV, within the NSG compared to the SG. Apart from these points, multi-morbidity (HR = 3.208, p = 0.010) and DP (HR = 1.228, p = 0.030) and VR variables (HR = 2.267, p = 0.027) had more death probabilities. The results of this study indicate that there was a significant increase in RR, DP, VR, and CO2 and a significant drop in Cest and PaO2/FiO2 among the NSG compared with the SG. Apart from this, the DP and VR variables, multi-morbidity and being male. have more possibility of death.

Anchor universities as leaders in the well-being movement: lessons learned from the University of California Healthy Campus Network & pandemic

The University of California (UC) Healthy Campus Network (HCN) is a robust network of diverse coalitions across 10 UC campuses, 5 UC teaching hospitals, and UC Agriculture & Natural Resources working to promote individual campus and systemwide changes toward a culture of health and equity. The success of this work has been evident in the HCN's ability to quickly pivot to meet emergent needs during the COVID-19 pandemic, including social support through the UC Diabetes Prevention Program, tap water access for essential workers through the UC Healthy Beverage Initiative, and food security efforts through the UC Global Food Initiative. Building a culture of health and equity across a large public university system generated valuable lessons learned which enhanced the UC's preparedness and resilience in the face of the pandemic, and other institutions may benefit from these best practices to respond effectively to emergencies and thrive in states of relative normalcy.

Country-specific determinants for COVID-19 case fatality rate and response strategies from a global perspective: an interpretable machine learning framework

BACKGROUND

There are significant geographic inequities in COVID-19 case fatality rates (CFRs), and comprehensive understanding its country-level determinants in a global perspective is necessary. This study aims to quantify the country-specific risk of COVID-19 CFR and propose tailored response strategies, including vaccination strategies, in 156 countries.

METHODS

Cross-temporal and cross-country variations in COVID-19 CFR was identified using extreme gradient boosting (XGBoost) including 35 factors from seven dimensions in 156 countries from 28 January, 2020 to 31 January, 2022. SHapley Additive exPlanations (SHAP) was used to further clarify the clustering of countries by the key factors driving CFR and the effect of concurrent risk factors for each country. Increases in vaccination rates was simulated to illustrate the reduction of CFR in different classes of countries.

FINDINGS

Overall COVID-19 CFRs varied across countries from 28 Jan 2020 to 31 Jan 31 2022, ranging from 68 to 6373 per 100,000 population. During the COVID-19 pandemic, the determinants of CFRs first changed from health conditions to universal health coverage, and then to a multifactorial mixed effect dominated by vaccination. In the Omicron period, countries were divided into five classes according to risk determinants. Low vaccination-driven class (70 countries) mainly distributed in sub-Saharan Africa and Latin America, and include the majority of low-income countries (95.7%) with many concurrent risk factors. Aging-driven class (26 countries) mainly distributed in high-income European countries. High disease burden-driven class (32 countries) mainly distributed in Asia and North America. Low GDP-driven class (14 countries) are scattered across continents. Simulating a 5% increase in vaccination rate resulted in CFR reductions of 31.2% and 15.0% for the low vaccination-driven class and the high disease burden-driven class, respectively, with greater CFR reductions for countries with high overall risk (SHAP value > 0.1), but only 3.1% for the ageing-driven class.

CONCLUSIONS

Evidence from this study suggests that geographic inequities in COVID-19 CFR is jointly determined by key and concurrent risks, and achieving a decreasing COVID-19 CFR requires more than increasing vaccination coverage, but rather targeted intervention strategies based on country-specific risks.

Primary Care Physicians' and Hospitalists' Experience with Advance Care Planning with South Asian Canadian Older Adults before and during COVID-19

Few older adults discuss their end-of-life care wishes with their physician, and even fewer minorities do this. We explored physicians' experience with advance care planning (ACP) including the barriers/facilitating factors encountered when initiating/conducting ACP discussions with South Asians (SA), one of Canada's largest minorities. Eleven primary care physicians (PC) and 11 hospitalists with ≥ 15 per cent SA patients ≥ 55 years of age were interviewed: 10 in 2020, 12 in 2021. Thematic analysis of transcripts indicated that cultural and communication barriers, physician's specialization, SA older adults' lack of ACP awareness, and decision-making deference to family and physicians were barriers to ACP discussions. Although the COVID-19 pandemic impacted physicians' practices, contrary to our hypothesis most reported no change in frequency of ACP discussions. Although ACP discussions were viewed as best conducted by PC physicians, only 55 per cent had ACP training and only 64 per cent had used ACP tools. Training in ACP facilitation, concerning ACP tool usage, and training in patient-physician communication are recommended.

Host determinants and responses underlying SARS-CoV-2 liver tropism

Hepatic sequelae are frequently reported in coronavirus disease 2019 cases and are correlated with increased disease severity. Therefore, a detailed exploration of host factors contributing to hepatic impairment and ultimately infection outcomes in patients is essential for improved clinical management. The causes of hepatic injury are not limited to drug-mediated toxicity or aberrant host inflammatory responses. Indeed, multiple studies report the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in liver autopsies and the susceptibility of explanted human hepatocytes to infection. In this review, we confirm that hepatic cells express an extensive range of factors implicated in SARS-CoV-2 entry. We also provide an overview of studies reporting evidence for direct infection of liver cell types and the infection-induced cell-intrinsic processes that likely contribute to hepatic impairment.

Colorectal cancer treatment outcomes during the pandemic: Our experience of COVID-19 at a tertiary referral center

BACKGROUNDS

The coronavirus disease 2019 (COVID-19) has led to major shifts in the management of colorectal cancer (CRC). This study aims to identify the impact and early outcomes of COVID-19 following CRC management at a tertiary referral center in Victoria, Australia.

METHODS

This was a retrospective study, utilizing the Australian Comprehensive Cancer Outcomes and Research Database and inpatient records. Patients presenting for CRC management at our institution were identified coinciding with the first Victorian outbreak of COVID-19 (March 26 to September 26, 2020) (COVID). Management decisions including chemoradiotherapy utilization and surgical outcomes were analyzed within 6 months and compared with the corresponding period in 2019 (pre-COVID).

RESULTS

A total of 276 patients were included in this study (147 pre-COVID period, 129 COVID period). During the COVID period, more patients (47.6% vs. 60.5%; p = 0.033) presented symptomatically and less for surveillance (10.9% vs. 2.3%; p < 0.01). Eighty-four pre-COVID and 69 COVID period patients proceeded to surgery. The average time from diagnosis date to surgery was 15.6 days less during the COVID period. There were no significant differences in postoperative utilization of higher care (p = 0.74), complications (p = 0.93), median hospital length of stay (p = 0.67), 30-day readmission (p = 0.50), or 30-day reoperation (p = 0.74). In 1.6% of cases, pandemic impacts resulted in a change in management.

CONCLUSION

Presentation of patients with CRC varied, with a significant increase in symptomatic presentations and decreased numbers for surveillance. Through flexibility and change in practice, our institution helped improve access to surgical intervention and oncological therapies. Further prospective work is required to identify long-term outcomes and characterize the effects of ongoing disruptions.

Metabolic profiling during COVID-19 infection in humans: Identification of potential biomarkers for occurrence, severity and outcomes using machine learning

BACKGROUND

After its emergence in China, the coronavirus SARS-CoV-2 has swept the world, leading to global health crises with millions of deaths. COVID-19 clinical manifestations differ in severity, ranging from mild symptoms to severe disease. Although perturbation of metabolism has been reported as a part of the host response to COVID-19 infection, scarce data exist that describe stage-specific changes in host metabolites during the infection and how this could stratify patients based on severity.

METHODS

Given this knowledge gap, we performed targeted metabolomics profiling and then used machine learning models and biostatistics to characterize the alteration patterns of 50 metabolites and 17 blood parameters measured in a cohort of 295 human subjects. They were categorized into healthy controls, non-severe, severe and critical groups with their outcomes. Subject's demographic and clinical data were also used in the analyses to provide more robust predictive models.

RESULTS

The non-severe and severe COVID-19 patients experienced the strongest changes in metabolite repertoire, whereas less intense changes occur during the critical phase. Panels of 15, 14, 2 and 2 key metabolites were identified as predictors for non-severe, severe, critical and dead patients, respectively. Specifically, arginine and malonyl methylmalonyl succinylcarnitine were significant biomarkers for the onset of COVID-19 infection and tauroursodeoxycholic acid were potential biomarkers for disease progression. Measuring blood parameters enhanced the predictive power of metabolic signatures during critical illness.

CONCLUSIONS

Metabolomic signatures are distinctive for each stage of COVID-19 infection. This has great translation potential as it opens new therapeutic and diagnostic prospective based on key metabolites.

Khamseh M. Age-Adjusted in-Hospital Mortality in Patients with COVID-19 Infection: Impact of the Presence of Multiple Comorbidities

Background

Mortality has been indicated to be high in patients with underlying diseases. This study aimed to examine the comorbidities is associated with a higher risk of death during the hospital course.

Methods

We retrospectively evaluated the risk of in-hospital death in 1368 patients with COVID-19 admitted to 5 academic hospitals in Tehran between February 20 and June 13, 2020. We also assessed the composite end-point of intensive care unit admission, invasive ventilation, and death. The Cox proportional survival model determined the potential comorbidities associated with deaths and serious outcomes.

Results

The retrospective follow-up of patients with COVID-19 over 5 months indicated 280 in-hospital deaths. Patients with diabetes (risk ratio (RR), 1.47 (95% CI, 1.10-1.95); P = 0.008) and chronic kidney disease (RR, 1.72 (95% CI, 1.16-2.56); P = 0.007) showed higher in-hospital mortality. Upon stratifying data by age, patients aged ˂65 years showed a greater risk of in-hospital death in the presence of 2 (hazard ratio (HR), 2.68 (95% CI, 1.46-4.95); P = 0.002) or more (HR, 3.47 (95% CI, 1.69-7.12); P = 0.001) comorbidities, compared with those aged ≥ 65 years.

Conclusion

Having ≥ 2 comorbidities in nonelderly patients is associated with a greater risk of death during hospitalization. To reduce the mortality of COVID-19 infection, younger patients with underlying diseases should be the focus of attention for prevention strategies.

Using a general practice research database to assess the spatio-temporal COVID-19 risk

BACKGROUND

In Flanders, general practitioners (GPs) were among the first ones to collect data regarding COVID-19 cases. Intego is a GPs' morbidity registry in primary care with data collected from the electronic medical records from a sample of general practices. The Intego database contain elaborate information regarding patient characteristics, such as comorbidities. At the national level, the Belgian Public Health Institute (Sciensano) recorded all test-confirmed COVID-19 cases, but without other patient characteristics.

METHODS

Spatio and spatio-temporal analyses were used to analyse the spread of COVID-19 incidence at two levels of spatial aggregation: the municipality and the health sector levels. Our study goal was to compare spatio-temporal modelling results based on the Intego and Sciensano data, in order to see whether the Intego database is capable of detecting epidemiological trends similar to those in the Sciensano data. Comparable results would allow researchers to use these Intego data, and their wealth of patient information, to model COVID-19-related processes.

RESULTS

The two data sources provided comparable results. Being a male decreased the odds of having COVID-19 disease. The odds for the age categories (17,35], (35,65] and (65,110] of being a confirmed COVID-19 case were significantly higher than the odds for the age category [0,17]. In the Intego data, having one of the following comorbidities, i.e., chronic kidney disease, heart and vascular disease, and diabetes, was significantly associated with being a COVID-19 case, increasing the odds of being diagnosed with COVID-19.

CONCLUSION

We were able to show how an alternative data source, the Intego data, can be used in a pandemic situation. We consider our findings useful for public health officials who plan intervention strategies aimed at monitor and control disease outbreaks such as that of COVID-19.

Retrospective Analysis of Clinical Characteristics and Disease Outcomes in Children and Adolescents Hospitalized Due to COVID-19 Infection in Tunisia

Due to low susceptibility of coronavirus disease of 2019 (COVID-19) in children, limited studies are available regarding COVID-19 in the pediatric population in Tunisia. The current study evaluated the incidence, clinical characteristics, and outcomes of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection among children hospitalized at Béchir Hamza Children's Hospital. A retrospective cohort analysis was conducted using the hospital database between March 2020 and February 2022 with children aged ≤15 years with SARS-CoV-2 infection (confirmed by RT-PCR). A total of 327 COVID-19 hospitalized patients with a mean age of 3.3 years were included; the majority were male. Neurological disease (20%) was the most common comorbidity, while fever (95.3%) followed by cough (43.7%) and dyspnea (39.6%) were the most frequent symptoms reported. Severe disease with oxygen requirement occurred in 30% of the patients; 13% were admitted in the Intensive Care Unit. The overall incidence rate of COVID-19 hospitalization (in Tunis governorates) was 77.02 per 100,000 while the inpatient case fatality rate was 5% in the study population. The most prevalent circulating variant during our study period was Delta (48.8%), followed by Omicron (26%). More than 45% of the study population were <6 months and one-fourth (n = 25, 26.5%) had at least one comorbidity. Thus, the study findings highlight the high disease burden of COVID-19 in infants.

Insights from Chilean NCDs Hospitalization Data during COVID-19

The COVID-19 pandemic has affected the lifestyles of people of all ages, conditions and occupations. Social distance, remote working, changes in diet and a lack of physical activity have directly and indirectly affected many aspects of mental and physical health, particularly in patients with many comorbidities and non-communicable diseases (NCDs). In our paper, we analyzed COVID-19 hospitalized and non-hospitalized cases according to comorbidities to assess the average monthly percentage change (AMPC) and monthly percentage change (MPC) using open access data from the Chilean Ministry of Science, Technology, Knowledge and Innovation. As expected, the infection mainly affected patients with comorbidities, including cardiovascular risk factors. The hospitalized cases with obesity and chronic lung disease increased throughout the period of June 2020-August 2021 (AMPC = ↑20.8 and ↑19.4%, respectively, p < 0.05), as did all the non-hospitalized cases with comorbidities throughout the period (AMPC = ↑15.6 to ↑30.3 [p < 0.05]). The increases in hospitalizations and non-hospitalizations with comorbidities may be associated with physical inactivity. A healthy lifestyle with regular physical activity may have had a protective effect on the COVID-19 severity and related events in the post-pandemic period, especially for the NCD population.

The top 50 most-cited articles about COVID-19 and the complications of COVID-19: A bibliometric analysis

Background

This bibliometric analysis examines the top 50 most-cited articles on COVID-19 complications, offering insights into the multifaceted impact of the virus. Since its emergence in Wuhan in December 2019, COVID-19 has evolved into a global health crisis, with over 770 million confirmed cases and 6.9 million deaths as of September 2023. Initially recognized as a respiratory illness causing pneumonia and ARDS, its diverse complications extend to cardiovascular, gastrointestinal, renal, hematological, neurological, endocrinological, ophthalmological, hepatobiliary, and dermatological systems.

Methods

Identifying the top 50 articles from a pool of 5940 in Scopus, the analysis spans November 2019 to July 2021, employing terms related to COVID-19 and complications. Rigorous review criteria excluded non-relevant studies, basic science research, and animal models. The authors independently reviewed articles, considering factors like title, citations, publication year, journal, impact factor, authors, study details, and patient demographics.

Results

The focus is primarily on 2020 publications (96%), with all articles being open access. Leading journals include The Lancet, NEJM, and JAMA, with prominent contributions from Internal Medicine (46.9%) and Pulmonary Medicine (14.5%). China played a major role (34.9%), followed by France and Belgium. Clinical features were the primary study topic (68%), often utilizing retrospective designs (24%). Among 22,477 patients analyzed, 54.8% were male, with the most common age group being 26-65 years (63.2%). Complications of COVID-19 affected 13.9% of patients, with a recovery rate of 57.8%.

Conclusion

Analyzing these top-cited articles offers clinicians and researchers a comprehensive, timely understanding of influential COVID-19 literature. This approach uncovers attributes contributing to high citations and provides authors with valuable insights for crafting impactful research. As a strategic tool, this analysis facilitates staying updated and making meaningful contributions to the dynamic field of COVID-19 research.

A closer look at the link between cycle threshold, clinical features and biomarkers: An observational study in COVID-19 patients

Background

Symptoms for severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) appear 2-3 days after exposure to the virus. Being a virus, detection is primarily by polymerase chain reaction as this offers superior sensitivity and specificity. There was a misconception that patients with low cycle threshold (Ct) have severe coronavirus disease (COVID), and for individuals with higher Ct, it is the other way around. The prognosis for COVID was derived from various biomarkers and physicians heavily relied on them.

Materials and Methods

A cross-sectional study spanning a duration of 2 years was conducted at a tertiary care centre in western India. A total of 201 individuals were included and the correlation between Ct, clinical features and biomarkers was studied.

Results

In the E-gene, 43.28% had lower Ct values and 40.79% had low Ct values in the RdRp gene. 50% of all patients had diabetes, with 60% being between the ages of 61 and 80. 54.1% of hypertension patients belonged to ages between 61 and 80. 90.54% of COVID-positive individuals had lactose dehydrogenase levels ranging from 440 to 760. 79% of patients had a procalcitonin value of more than one but less than six. 79.1% of patients had an erythrocyte sedimentation rate between 36 and 90.

Conclusion

Ct value though has a research value; it is a poor prognostic marker when compared to the various biomarkers that have been studied earlier. We cannot conclusively state that all our findings are accurate due to a lack of data but further research into the prognostic value of Ct should be conducted which will help in the ongoing scenario.

Neurocognitive Impairment in Post-COVID-19 Condition in Adults: Narrative Review of the Current Literature

The severe acute respiratory syndrome coronavirus 2 virus has, up to the time of this article, resulted in >770 million cases of COVID-19 illness worldwide, and approximately 7 million deaths, including >1.1 million in the United States. Although defined as a respiratory virus, early in the pandemic, it became apparent that considerable numbers of people recovering from COVID-19 illness experienced persistence or new onset of multi-system health problems, including neurologic and cognitive and behavioral health concerns. Persistent multi-system health problems are defined as Post-COVID-19 Condition (PCC), Post-Acute Sequelae of COVID-19, or Long COVID. A significant number of those with PCC report cognitive problems. This paper reviews the current state of scientific knowledge on persisting cognitive symptoms in adults following COVID-19 illness. A brief history is provided of the emergence of concerns about persisting cognitive problems following COVID-19 illness and the definition of PCC. Methodologic factors that complicate clear understanding of PCC are reviewed. The review then examines research on patterns of cognitive impairment that have been found, factors that may contribute to increased risk, behavioral health variables, and interventions being used to ameliorate persisting symptoms. Finally, recommendations are made about ways neuropsychologists can improve the quality of existing research.

Novel genetic association of the Furin gene polymorphism rs1981458 with COVID-19 severity among Indian populations

SARS CoV-2, the causative agent for the ongoing COVID-19 pandemic, it enters the host cell by activating the ACE2 receptor with the help of two proteasesi.e., Furin and TMPRSS2. Therefore, variations in these genes may account for differential susceptibility and severity between populations. Previous studies have shown that the role of ACE2 and TMPRSS2 gene variants in understanding COVID-19 susceptibility among Indian populations. Nevertheless, a knowledge gap exists concerning the COVID-19 susceptibility of Furin gene variants among diverse South Asian ethnic groups. Investigating the role of Furin gene variants and their global phylogeographic structure is essential to comprehensively understanding COVID-19 susceptibility in these populations. We have used 450 samples from diverse Indian states and performed linear regression to analyse the Furin gene variant's with COVID-19 Case Fatality Rate (CFR) that could be epidemiologically associated with disease severity outcomes. Associated genetic variants were further evaluated for their expression and regulatory potential through various Insilco analyses. Additionally, we examined the Furin gene using next-generation sequencing (NGS) data from 393 diverse global samples, with a particular emphasis on South Asia, to investigate its Phylogeographic structure among diverse world populations. We found a significant positive association for the SNP rs1981458 with COVID-19 CFR (p < 0.05) among diverse Indian populations at different timelines of the first and second waves. Further, QTL and other regulatory analyses showed various significant associations for positive regulatory roles of rs1981458 and Furin gene, mainly in Immune cells and virus infection process, highlighting their role in host immunity and viral assembly and processing. The Furin protein-protein interaction suggested that COVID-19 may contribute to Pulmonary arterial hypertension via a typical inflammation mechanism. The phylogeographic architecture of the Furin gene demonstrated a closer genetic affinity of South Asia with West Eurasian populations. Therefore, it is worth proposing that for the Furin gene, the COVID-19 susceptibility of South Asians will be more similar to the West Eurasian population. Our previous studies on the ACE2 and TMPRSS2 genes showed genetic affinity of South Asian with East Eurasians and West Eurasians, respectively. Therefore, with the collective information from these three important genes (ACE2, TMPRSS2 and Furin) we modelled COVID-19 susceptibilityof South Asia in between these two major ancestries with an inclination towards West Eurasia. In conclusion, this study, for the first time, concluded the role of rs1981458 in COVID-19 severity among the Indian population and outlined its regulatory potential.This study also highlights that the genetic structure for COVID-19 susceptibilityof South Asia is distinct, however, inclined to the West Eurasian population. We believe this insight may be utilised as a genetic biomarker to identify vulnerable populations, which might be directly relevant for developing policies and allocating resources more effectively during an epidemic.

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

BACKGROUND

The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences.

OBJECTIVE

This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences.

METHODS

The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the "less unhealthy" group and the "more unhealthy" group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the "more unhealthy" group.

RESULTS

The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the "more unhealthy" group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the "more unhealthy" group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the "more unhealthy" group.

CONCLUSIONS

The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post-COVID-19 health and well-being.

Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality

As the world emerges from the COVID-19 pandemic, there is an urgent need to understand patient factors that may be used to predict the occurrence of severe cases and patient mortality. Approximately 20% of SARS-CoV-2 infections lead to acute respiratory distress syndrome caused by the harmful actions of inflammatory mediators. Patients with severe COVID-19 are often afflicted with neurologic symptoms, and individuals with pre-existing neurodegenerative disease have an increased risk of severe COVID-19. Although collectively, these observations point to a bidirectional relationship between severe COVID-19 and neurologic disorders, little is known about the underlying mechanisms. Here, we analyzed the electronic health records of 471 patients with severe COVID-19 to identify clinical characteristics most predictive of mortality. Feature discovery was conducted by training a regularized logistic regression classifier that serves as a machine-learning model with an embedded feature selection capability. SHAP analysis using the trained classifier revealed that a small ensemble of readily observable clinical features, including characteristics associated with cognitive impairment, could predict in-hospital mortality with an accuracy greater than 0.85 (expressed as the area under the ROC curve of the classifier). These findings have important implications for the prioritization of clinical measures used to identify patients with COVID-19 (and, potentially, other forms of acute respiratory distress syndrome) having an elevated risk of death.

SARS-CoV-2 outbreak: role of viral proteins and genomic diversity in virus infection and COVID-19 progression

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is the cause of coronavirus disease 2019 (COVID-19); a severe respiratory distress that has emerged from the city of Wuhan, Hubei province, China during December 2019. COVID-19 is currently the major global health problem and the disease has now spread to most countries in the world. COVID-19 has profoundly impacted human health and activities worldwide. Genetic mutation is one of the essential characteristics of viruses. They do so to adapt to their host or to move to another one. Viral genetic mutations have a high potentiality to impact human health as these mutations grant viruses unique unpredicted characteristics. The difficulty in predicting viral genetic mutations is a significant obstacle in the field. Evidence indicates that SARS-CoV-2 has a variety of genetic mutations and genomic diversity with obvious clinical consequences and implications. In this review, we comprehensively summarized and discussed the currently available knowledge regarding SARS-CoV-2 outbreaks with a fundamental focus on the role of the viral proteins and their mutations in viral infection and COVID-19 progression. We also summarized the clinical implications of SARS-CoV-2 variants and how they affect the disease severity and hinder vaccine development. Finally, we provided a massive phylogenetic analysis of the spike gene of 214 SARS-CoV-2 isolates from different geographical regions all over the world and their associated clinical implications.

Predicting COVID-19 Re-Positive Cases in Malnourished Older Adults: A Clinical Model Development and Validation

Purpose

Building and validating a clinical prediction model for novel coronavirus (COVID-19) re-positive cases in malnourished older adults.

Patients and Methods

Malnourished older adults from January to May 2023 were retrospectively collected from the Department of Geriatrics of the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine. They were divided into a "non-re-positive" group and a "re-positive" group based on the number of COVID-19 infections, and into a training set and a validation set at a 7:3 ratio. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify predictive factors for COVID-19 re-positivity in malnourished older adults, and a nomogram was constructed. Independent influencing factors were screened by multivariate logistic regression. The model's goodness-of-fit, discrimination, calibration, and clinical impact were assessed by Hosmer-Lemeshow test, area under the curve (AUC), calibration curve, decision curve analysis (DCA), and clinical impact curve analysis (CIC), respectively.

Results

We included 347 cases, 243 in the training set, and 104 in the validation set. We screened 10 variables as factors influencing the outcome. By multivariate logistic regression analysis, preliminary identified protective factors, risk factors, and independent influencing factors that affect the re-positive outcome. We constructed a clinical prediction model for COVID-19 re-positivity in malnourished older adults. The Hosmer-Lemeshow test yielded χ2 =5.916, P =0.657; the AUC was 0.881; when the threshold probability was >8%, using this model to predict whether malnourished older adults were re-positive for COVID-19 was more beneficial than implementing intervention programs for all patients; when the threshold was >80%, the positive estimated value was closer to the actual number of cases.

Conclusion

This model can help identify the risk of COVID-19 re-positivity in malnourished older adults early, facilitate early clinical decision-making and intervention, and have important implications for improving patient outcomes. We also expect more large-scale, multicenter studies to further validate, refine, and update this model.

Synergistic effects of COVID-19 and Pseudomonas aeruginosa in chronic obstructive pulmonary disease: a polymicrobial perspective

This article discusses the connection between the novel coronavirus disease 2019 (COVID-19) caused by the coronavirus-2 (SARS-CoV-2) and chronic obstructive pulmonary disease (COPD). COPD is a multifaceted respiratory illness that is typically observed in individuals with chronic exposure to chemical irritants or severe lung damage caused by various pathogens, including SARS-CoV-2 and Pseudomonas aeruginosa. The pathogenesis of COPD is complex, involving a variety of genotypes and phenotypic characteristics that result in severe co-infections and a poor prognosis if not properly managed. We focus on the role of SARS-CoV-2 infection in severe COPD exacerbations in connection to P.  aeruginosa infection, covering pathogenesis, diagnosis, and therapy. This review also includes a thorough structural overview of COPD and recent developments in understanding its complicated and chronic nature. While COVID-19 is clearly linked to emphysema and chronic bronchitis at different stages of the disease, our understanding of the precise interaction between microbial infections during COPD, particularly with SARS-CoV-2 in the lungs, remains inadequate. Therefore, it is crucial to understand the host-pathogen relationship from the clinician's perspective in order to effectively manage COPD. This article aims to provide a comprehensive overview of the subject matter to assist clinicians in their efforts to improve the treatment and management of COPD, especially in light of the COVID-19 pandemic.

The effect of the COVID-19 lockdown on women presenting with pelvic organ prolapse

PURPOSE

To determine whether there is a difference in pelvic organ prolapse (POP) stage at time of presentation after lifting coronavirus disease (COVID-19) lockdown restrictions, as compared to before the lockdown. Enhancing our understanding of how healthcare utilization for pelvic floor disorders may be affected by limited accessibility, such as the COVID-19 pandemic, could prove invaluable for similar future circumstances.

METHODS

This is a retrospective study of women with POP at their initial visit. Patients were grouped into two cohorts based on their initial presentation time: pre-COVID-19 lockdown (before March 2020) and post-COVID-19 lockdown (after December 2020). The cohorts were compared using demographic, clinical, and surgical variables. A logistic regression controlling for confounders was used to evaluate the influence of the COVID-19 lockdown on prolapse stage.

RESULTS

There were 656 (50.3%) patients in the pre-COVID-19 lockdown cohort and 648 (49.7%) in the post-COVID-19 lockdown cohort. All baseline characteristics were similar between both cohorts except for race (p = 0.015). Treatment choices differed with the post-COVID-19 lockdown cohort having a lower proportion (26.5%) opting for surgery and a higher proportion (50.5%) of patients opting for nonsurgical interventions compared to the pre-COVID-19 lockdown cohort (p = 0.0005). A higher proportion of women presented with stages I and II prolapse in the post-COVID-19 lockdown (70.4%) cohort as compared to the pre-COVID-19 lockdown (62.5%) cohort (p = 0.002).

CONCLUSIONS

Women in the post-COVID-19 lockdown cohort presented with early stage prolapse with preference for more conservative treatment options.

Familial Aggregation and ABO Blood Groups and COVID-19 Severity Among Hospitalized Patients

Background

Planning effective preventive and control measures requires understanding of the variability in the severity of infectious illnesses and factors determining susceptibility. The present study aimed to assess the association between familial susceptibility and ABO blood group with COVID-19 disease severity and adverse outcomes.

Methods

The present study was a retrospective investigation that was carried out at a tertiary care hospital with a bed capacity of 560 in the state of Kerala, India. A structured questionnaire was used to extract demographic and clinical characteristics from screened records. The study participants were stratified into 2 distinct groups based on the severity of their illness: mild to moderate and severe. Familial aggregation was operationally defined as the occurrence of COVID-19 diagnosis in any first-degree relative.

Results

A total of 362 hospitalized patients with confirmed COVID-19 infection were included in the analysis. Among them 62 (17.1%) were categorized as severe COVID-19 and 300 (82.9%) were categorized as mild to moderate COVID-19. Binary logistic regression analysis showed that the odds of sever COVID-19 disease was significantly higher among patients with familial aggregation (odds ratio, 2.47; 95% confidence interval, 2.12–2.85) and with non-O blood group (odds ratio, 2.21; 95% confidence interval, 2.01–2.56).

Conclusions

The findings of our study highlight the significance of familial aggregation and ABO blood group as crucial factors in determining the severity of COVID-19 disease. Comprehending the interrelationship between these variables and the genetic makeup of the host may hold significance in prognosticating the gravity of COVID-19 consequences.

Complications Rates Among Revision Total Knee Arthroplasty Patients Diagnosed With COVID-19 Postoperatively

BACKGROUND

The COVID-19 pandemic introduced a new set of challenges for the arthroplasty community, including the management of patients diagnosed with COVID-19 following revision total knee arthroplasty (rTKA) and its potential impact on postoperative recovery. This study sought to characterize the risks of postoperative COVID-19 infection among rTKA patients.

METHODS

A large national database was utilized to query 8,022 total patients who underwent rTKA between 2018 and 2021, of which 60 had a COVID diagnosis within 90 days after surgery (rTKA/COVID positive). These patients were 1:10 propensity-score matched to 600 rTKA patients who did not have a 90-day postoperative COVID diagnosis (rTKA/COVID negative) and 600 COVID positive patients who did not undergo rTKA. Controlling for potential confounders, multivariate logistic regressions were utilized to compare 90-day postoperative complications between groups.

RESULTS

Compared to rTKA/COVID negativepatients, the rTKA/COVID positive cohort had significantly higher rates of pneumonia (odds ratio [OR] = 6.1, P < .001), pulmonary embolism (PE) (OR = 32.4, P < .001), deep venous thrombosis (DVT) (OR = 32.4, P < .001), and 90-day readmissions (OR = 2.1, P = .02). Similarly, the rTKA/COVID positive cohort had significantly higher rates of pneumonia (OR = 4.3, P = .001), PE (OR = 36.8, P < .001), and DVT (OR = 36.8, P < .001) compared to COVID positive patients who did not undergo rTKA.

CONCLUSIONS

Revision total knee arthroplasty patients diagnosed with COVID-19 postoperatively had increased rates of thromboembolic events, pneumoniae, and 90-day readmissions. Risk mitigation efforts would suggest extending the prophylactic anticoagulation period for rTKA patients diagnosed with postoperative COVID-19.

COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis

Background

The COVID-19 mortality rate continues to be high in low-income countries like Ethiopia as the new variant's transmission expands and the countries' limited capacity to combat the disease causes severe outcomes, including deaths. The aim of this study is to determine the magnitude of the COVID-19 mortality rate and its determinants in Ethiopia.

Methods

The main electronic databases searched were PubMed, CINAHL, Google Scholar, and African journals online. The included studies' qualities were assessed independently using the Newcastle-Ottawa scale. The data was extracted in Microsoft Excel spreadsheet format. The pooled effect size and odds ratios with 95% confidence intervals across studies were determined using the random-effects model. I2 is used to estimate the percentage of overall variation across studies due to heterogeneity. Egger's test and funnel plot were used to find the published bias. A subgroup analysis was conducted. The effect of a single study on the overall estimation was determined by sensitivity analysis.

Results

A total of 21 studies with 42,307 study participants were included in the final analysis. The pooled prevalence of COVID-19 mortality was 14.44% (95% CI: 10.35-19.08%), with high significant heterogeneity (I2 = 98.92%, p < 0.001). The risk of mortality from COVID-19 disease was higher for patients with comorbidity (AHR = 1.84, 95% CI: 1.13-2.54) and cardiovascular disease (AHR = 2, 95% CI: 1.09-2.99) than their counterparts without these conditions.

Conclusion

A significant number of COVID-19 patients died in Ethiopia. COVID-19 patients with comorbidities, particularly those with cardiovascular disease, should receive special attention to reduce COVID-19 mortality.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, registration identifier (ID) CRD42020165740.

Effectiveness of estrogen and its derivatives over dexamethasone in the treatment of COVID-19

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus and dexamethasone is a glucocorticoid widely used for its treatment. Dexamethasone is not used in non-severe cases due to its immunosuppressant action. So, considering this, Estrogen and Estetrol were tested for the treatment of COVID-19 as they all possess a common steroid ring and dislike dexamethasone, they are immunoenhancer. Virtual screening of test ligands was performed through molecular docking, MM-GBSA, simulations, in silico ADMET and drug-likeness prediction to identify their potential to inhibit the effects of SARS-CoV-2. Results showed that test ligands possess drug-like properties and they are safe as drug candidates. The protein-ligand interaction study revealed that they bind with the amino acid residues at the active site of the target proteins and the test ligands possess better binding potential than Dexamethasone. With protein Mpro, Estetrol and Estrogen showed docking score of -7.240 and -5.491 kcal/mol, and with protein ACE2, Estetrol and Estrogen showed docking score of -5.269 and -4.732 kcal/mol, respectively. Further, MD Simulation was carried out and most of the interactions of molecular docking are preserved during simulation. The prominent interactions that our test ligands showed during MD Simulation are similar to drugs that possess in vitro anticovid activity as shown in recent studies. Hence, our test ligands possessed potential for anticovid activity and they should be further tested through in vitro and in vivo studies for their activity against COVID-19.Communicated by Ramaswamy H. Sarma.

Evaluation of comorbidities in the SARS-CoV-2-related mortalities: A retrospective observation from a dedicated COVID-19 care hospital

Since its discovery in Wuhan, China, in December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly around the world with being declared a pandemic in March 2020 by the World Health Organization (WHO). Comorbidities are one of the most concerning clinical considerations for mortality.

Materials and Methods

This was a retrospective observational study conducted at the All India Institute of Medical Sciences in Patna, Bihar, from June 2020 to December 2020. It included adult patients who succumbed to coronavirus disease 2019 (COVID-19) during this period, and their relevant information, such as demographic information hospital stay duration, haematological parameters and comorbidities, was gathered.

Results

The mean age of the study group was 63.5 (11.8) years. Of 150 cases, 126 men (about 84 per cent) and 24 women were involved (16 per cent). In our study, hypertension (HTN) was shown to be the most frequent comorbidity at 68.7% (103/150), followed by diabetes mellitus (DM) at 61.3% (92/150). The most prevalent haematological disorder identified in our investigation was anaemia and leucocytosis.

Conclusion

The categorisation of patients who would need extra measures including early hospitalisation, heightened monitoring and intense therapy would be made easier by identifying patient traits and conditions.

Impact of long COVID-19 on posttraumatic stress disorder as modified by health literacy: an observational study in Vietnam

BACKGROUND

The prevalence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a "social vaccine" that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association.

METHODS

A cross-sectional study was conducted at 18 hospitals and health centers in Vietnam from December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (using the 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions.

RESULTS

Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD. Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.63-2.12; p<0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97-0.99; p=0.001). Compared to those without long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96-0.99; p=0.001).

CONCLUSION

Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.

Association of common variant rs9934336 of SLC5A2 (SGLT2) gene with SARS-CoV-2 infection and mortality

COVID-19 has its life-threatening complications more pronounced in people with underlying health conditions such as diabetes, cardiovascular disease and kidney disease. Inhibition of the sodiumglucose cotransporter 2 (SGLT2), which primarily increases urinary glucose excretion, is shown to be beneficial in patients with type 2 diabetes mellitus (T2D) and other comorbidities. SGLT2 is encoded by SLC5A2 gene, and of the several genetic variants, SNP rs9934336 is gaining importance for being associated with reduced HbA1c level and lower incidence of T2D. Since a complex bidirectional relationship exists between COVID-19 and hyperglycaemia, we conducted a worldwide association study to investigate the effect of rs9934336 on COVID-19 outcomes. Worldwide prevalence data of SLC5A2 SNP rs9934336 were obtained from relevant published articles and databases for genomic variants. COVID-19 data procured from the Worldometer website were used for conducting Spearman’s correlation analysis with minor allele frequency data of rs9934336. Significant positive correlation was observed between rs9934336 and COVID-19 incidence (p < 0.0001, r = 0.6225) as well as deaths (p < 0.0001, r = 0.5837). The present finding of significant association of SLC5A2 variant rs9934336 with COVID-19 risk has to be validated by case–control studies in diverse populations along with other variants regulating the expression and function of SGLT2.

The impact of the COVID-19 pandemic on mental health and quality of life in people living with and beyond breast, prostate and colorectal cancer - a qualitative study

BACKGROUND

Individuals living with and beyond cancer are at heightened risk of adverse psychological and social outcomes and experiences. In March 2020, the COVID-19 global pandemic presented a unique set of social circumstances with the potential to exacerbate the challenges faced by this population. The purpose of this study was to investigate the experiences of people living with and beyond cancer during the first year of the COVID-19 pandemic and assess the impact on psychological and social aspects of their lives.

METHODS

From a pool of participants from a larger health behaviours study thirty participants were purposively sampled for characteristics including: diagnostic group (breast, prostate and colorectal cancers), gender, time since diagnosis and age. Semi-structured interviews were conducted via telephone to discuss their experience of living through the pandemic. A thematic analysis was conducted using a needs-based approach to detail the fundamental needs expressed by this population in relation to their mental health and quality of life during the pandemic.

RESULTS

Three fundamental needs underpinned the experiences expressed by participants: the need to feel safe; particularly in relation to risk of contracting COVID-19 and their ongoing cancer monitoring; the need to feel connected; to the people, places, activities and practices of everyday life; and the need to make the most out of life; specifically in context of having already endured cancer and cancer treatment. Participant experiences are described in relation to how they impacted each of these three needs.

CONCLUSIONS

People living with and beyond cancer have past and ongoing experiences that make them vulnerable to adverse psychosocial reactions and outcomes. Support for this population needs to provide greater clarity of risk, clearer guidelines specific to their personal circumstances, and regular updates on scheduling of important follow up care and monitoring.

The COVID-19 Severity and Its Association with Intestinal Parasite Coinfection and Urine Biochemical Parameters among COVID-19-Confirmed Patients Admitted to Debre Markos University COVID-19 Center, Northwest Ethiopia

Background

Though most people with COVID-19 disease show asymptomatic to mild illness, a substantial number of patients are at high risk of developing severe disease and adverse outcomes with long COVID-19 and death. Even though some studies showed that previously existing infections with parasites amend the host's body defenses to increase resistance to infection with SARS-CoV-2, there is limited data in Ethiopia.

Objectives

This study is aimed at determining the COVID-19 disease severity and its association with intestinal parasite coinfection and urine biochemical parameters among COVID-19-confirmed patients admitted at Debre Markos University COVID-19 Center, 2021.

Methods

A prospective cohort study was conducted on 136 RT-qPCR-confirmed COVID-19 patients admitted at Debre Markos University COVID-19 Center from January 1 to March 30, 2021. Sociodemographic and clinical data were collected by using standardized data collection forms. A urine biochemical test was performed using a dry urine dipstick kit and stool examination using direct wet mount microscopic examination and formalin-ether concentration method. The chi-square test, Fisher exact test, and ordinal logistic regression analysis were computed to assess association with outcome variables using Statistical Package for Social Science software (version 24).

Result

A total of 136 COVID-19-confirmed patients participated in this study. The median age of the participants was 48 years. The majority (86 (62.5%)) of them were male in sex. Of the 136 cases, 39 (28.7%) had died. Among the 136 patients, 22 (16.2%) were coinfected with intestinal parasites. COVID-19 patients who have intestinal parasite coinfection had lower odds of developing clinically severe COVID-19 compared to noninfected (AOR = 0.37; 95% CI = 0.147-0.944; P = 0.037). The majority (104 (76.5%)) of them have abnormal urine biochemical results. From the abnormal urine biochemical tests observed, the urine blood, glucose, and ketone tests were positive for 54 (39.7%), 36 (26.5%), and 30 (21.1%) patients, respectively. Among the 31 critical COVID-19 patients, 25 (80.6%) showed abnormal urine biochemical parameters. Age and comorbidity were significantly associated with COVID-19 severity (P < 0.05).

Conclusion

Patients with old age and comorbidity had an increased risk of developing severe COVID-19 disease. Patients having SARS-CoV-2 and intestinal parasitic coinfections demonstrated mild COVID-19 disease severity. Abnormal urine biochemical results were common among critical COVID-19 patients. Thus, advanced study on the effect of the interaction among intestinal parasites on COVID-19 clinical severity and its mechanisms is essential.

The determinants of COVID-induced brain dysfunctions after SARS-CoV-2 infection in hospitalized patients

The severity of the pandemic and its consequences on health and social care systems were quite diverse and devastating. COVID-19 was associated with an increased risk of neurological and neuropsychiatric disorders after SARS-CoV-2 infection. We did a cross-sectional study of 3 months post-COVID consequences of 178 Cuban subjects. Our study has a unique CUBAN COVID-19 cohort of hospitalized COVID-19 patients and healthy subjects. We constructed a latent variable for pre-health conditions (PHC) through Item Response Theory (IRT) and for post-COVID neuropsychiatric symptoms (Post-COVID-NPS) through Factor Analysis (FA). There seems to be a potential causal relationship between determinants of CIBD and post-COVID-NPS in hospitalized COVID-19 patients. The causal relationships accessed by Structural Equation Modeling (SEM) revealed that PHC (p < 0.001) and pre-COVID cognitive impairments (p < 0.001) affect the severity of COVID-19 patients. The severity of COVID-19 eventually results in enhanced post-COVID-NPS (p < 0.001), even after adjusting for confounders (age, sex, and pre-COVID-NPS). The highest loadings in PHC were for cardiovascular diseases, immunological disorders, high blood pressure, and diabetes. On the other hand, sex (p < 0.001) and pre-COVID-NPS including neuroticism (p < 0.001), psychosis (p = 0.005), cognition (p = 0.036), and addiction (p < 0.001) were significantly associated with post-COVID-NPS. The most common neuropsychiatric symptom with the highest loadings includes pain, fatigue syndrome, autonomic dysfunctionalities, cardiovascular disorders, and neurological symptoms. Compared to healthy people, COVID-19 patients with pre-health comorbidities or pre-neuropsychiatric conditions will have a high risk of getting severe COVID-19 and long-term post-COVID neuropsychiatric consequences. Our study provides substantial evidence to highlight the need for a complete neuropsychiatric follow-up on COVID-19 patients (with severe illness) and survivors (asymptomatic patients who recovered).

Outcomes of COVID-19-Associated Hospitalizations in Geriatric Patients with Dementia in the United States: A Propensity Score Matched Analysis

Previous studies have convincingly demonstrated the negative impact of dementia on overall health outcomes. In the context of the COVID-19 pandemic, there is burgeoning evidence suggesting a possible association between dementia and adverse outcomes, however the relationship has not been conclusively established. We conducted a retrospective cohort study involving 816,960 hospitalized COVID-19 patients aged 65 or older from the 2020 national inpatient sample. The cohort was bifurcated into patients with dementia (n = 180,845) and those without (n = 636,115). Multivariate regression and propensity score matched analyses (PSM) assessed in-hospital mortality and complications. We observed that COVID-19 patients with dementia had a notably higher risk of in-hospital mortality (23.1% vs. 18.6%; aOR = 1.2 [95% CI 1.1-1.2]). This elevated risk persisted even after PSM. Interestingly, dementia patients had a reduced risk of several acute in-hospital complications, including liver failure and sudden cardiac arrest. Nevertheless, they had longer hospital stays and lower total hospital charges. Our findings conclusively demonstrate that dementia patients face a heightened risk of mortality when hospitalized with COVID-19 but are less likely to experience certain complications. This complexity underscores the urgent need for individualized care strategies for this vulnerable group.

Post-discharge all-cause mortality in COVID-19 recovered patients hospitalized in 2020: the impact of chronic kidney disease

In Brazil, the COVID-19 burden was substantial, and risk factors associated with higher in-hospital mortality rates have been extensively studied. However, information on short-term all-cause mortality and the factors associated with death in patients who survived the hospitalization period of acute SARS-CoV-2 infection is limited. We analyzed the six-month post-hospitalization mortality rate and possible risk factors of COVID-19 patients in a single center in Brazil. This is a retrospective cohort study focused on a six-month follow-up. The exclusion criteria were death during hospitalization, transference to another hospital, and age under 18. We collected data from the charts of all hospitalized patients from March 2020 to December 2020 with a positive RT-PCR test for SARS-CoV-2, resulting in a sample size of 106 patients. The main outcome was death after hospitalization, whereas comorbidities and demographics were evaluated as risk factors. The crude post-hospitalization death rate was 16%. The first 30 days of follow-up had the highest mortality rate. In a Cox regression model for post-hospitalization mortality, previous chronic kidney disease (HR, 4.06, 95%CI 1.46 - 11.30) and longer hospital stay (HR 1.01, 95%CI 1.00 - 1.02) were the only factors statistically associated with death. In conclusion, a high six-month all-cause mortality was observed. Within the six-month follow-up, a higher risk of death was observed for patients who had prior CKD and longer hospital stay. These findings highlight the importance of more intensive medical surveillance during this period.

Perceptions of the COVID-19 Vaccine and Willingness to Receive Vaccination among Health Workers in Nigeria: A Cross-sectional Study

BACKGROUND

COVID-19 vaccine hesitancy is a major barrier to vaccine uptake, and the achievement of herd immunity is required to reduce morbidity and mortality and protect the most vulnerable populations. In Nigeria, COVID-19 vaccine hesitancy has been high, and uptake remains very low. Healthcare workers (HCWs) in Nigeria can help support public health efforts to increase vaccine uptake.

AIM

This study evaluates Nigerian HCWs' acceptance and intent to recommend the COVID-19 vaccine.

SUBJECTS AND METHODS

Cross-sectional survey among 1,852 HCWs in primary, secondary, and tertiary care settings across Nigeria. Respondents included doctors, nurses, pharmacy workers, and clinical laboratory professionals who have direct clinical contact with patients in various healthcare settings. A 33-item questionnaire was used in the study, with two of the questions focused on the COVID-19 vaccine. The responses to the two questions were analyzed using Chi-square (c2) tests and independent t-tests to determine the acceptance of the vaccine.

RESULTS

The majority of respondents were younger than 34 years (n = 1,227; 69.2%) and primarily worked in hospitals (n = 1,278; 72.0%). Among the respondents, 79.2% (n = 1,467) endorsed the COVID-19 vaccine as a critical tool in reducing the impact of the disease, and 76.2% (n = 1,412) will accept and recommend the vaccine to their patients. The younger HCWs were more likely to endorse and recommend the vaccine to their patients.

CONCLUSION

There is a moderately high COVID-19 vaccine acceptance rate among HCWs surveyed in our study. The confidence of HCWs in its use and their willingness to recommend it to their patients can provide a potentially useful element in increasing acceptance by the larger population in Nigeria.

The impact of vaccination and SARS-CoV-2 variants on the virological response to SARS-CoV-2 infections during the Alpha, Delta, and Omicron waves in England

Vaccination status and the SARS-CoV-2 variant individuals are infected with are known to independently impact viral dynamics; however, little is known about the interaction of these two factors and how this impacts viral dynamics. Here we investigated how monovalent vaccination modified the time course and viral load of infections from different variants. Regression analyses were used to investigate the impact of vaccination on cycle threshold values and disease severity, and interval-censored survival analyses were used to investigate the impact of vaccination on duration of positivity. A range of covariates were adjusted for as potential confounders and investigated for their own effects in exploratory analyses. All analyses were done combining all variants and stratified by variant. For those infected with Alpha or Delta, vaccinated individuals were more likely to report mild disease than moderate/severe disease and had significantly shorter duration of positivity and lower viral loads compared to unvaccinated individuals. Vaccination had no impact on self-reported disease severity, viral load, or duration if positivity for those infected with Omicron. Overall, individuals who were immunosuppressed and clinically extremely vulnerable had longer duration of positivity and higher viral loads. This study adds to the evidence base on disease dynamics following COVID-19, demonstrating that vaccination mitigates severity of disease, the amount of detectable virus within infected individuals and reduces the time individuals are positive for. However, these effects have been significantly attenuated since the emergence of Omicron. Therefore, our findings strengthen the argument for using modified or multivalent vaccines that target emerging variants.

Age and Comorbidity Profiles as Predictors of Mechanical Ventilation Duration in COVID-19 ICU Patients: A Retrospective Study in Saudi Arabia

Background The COVID-19 pandemic has highlighted the critical importance of understanding factors that impact outcomes for intensive care unit patients, especially those necessitating mechanical ventilation. This study aims to examine the influence of age and comorbidities on the duration of mechanical ventilation among COVID-19 patients in ICU settings, building on existing research that indicates the significant effects of these factors on patient outcomes. Methods A retrospective observational study was conducted involving COVID-19 patients in ICU who required mechanical ventilation. Selection criteria included ICU admission and the necessity for mechanical ventilation. Data collection focused on patient demographics, specifically age and comorbidities such as diabetes and hypertension, alongside the total duration of mechanical ventilation. The analysis utilized descriptive statistics, comparative methods, and regression modeling. Results The analysis revealed that older patients and those with certain comorbidities, notably diabetes and hypertension, typically experienced prolonged periods of mechanical ventilation. These findings are consistent with existing literature, underscoring the critical role of age and comorbidity in the management of COVID-19, in ICU patients. Conclusion This study sheds light on the significant factors influencing the duration of mechanical ventilation in COVID-19 ICU patients. The results emphasize the need for personalized treatment approaches in the ICU, particularly for older patients and those with specific comorbidities. These insights have substantial implications for clinical practice and public health, indicating the necessity for adaptable ventilation strategies and informed resource allocation. Furthermore, the findings pave the way for future research aimed at optimizing treatment protocols for diverse patient demographics in critical care settings.

The Social, Mental, and Physical Health Impacts of the COVID-19 Pandemic on People With HIV: Protocol of an Observational International Multisite Study

ABSTRACT

As the COVID-19 pandemic spread across the world, immunocompromised individuals such as people with HIV (PWH) may have faced a disproportionate impact on their health and HIV outcomes, both from COVID-19 and from the strategies enacted to contain it. Based on the SPIRIT guidelines, we describe the protocol for an international multisite observational study being conducted by The International Nursing Network for HIV Research, with the Coordinating Center based at the University of California, San Francisco (UCSF) School of Nursing. Site Principal Investigators implement a standardized protocol to recruit PWH to complete the study online or in-person. Questions address demographics; HIV continuum of care indicators; mental and social health; COVID-19 and vaccination knowledge, attitudes, behaviors, and fears; and overall outcomes. Results of this study will contribute to knowledge that can inform responses to future public health crises to minimize their impacts on vulnerable populations such as PWH.

Climate Changes and COVID-19

Climatic change, which influences population growth and land usage, has been theorized to be linked to the emergence and spread of new viruses like the currently unfolding COVID-19 pandemic. In this chapter, we explain how climate change may have altered the beginning, transmission, and maybe even the sickness consequences of the COVID-19 pandemic. Where possible, we also provide mechanistic explanations for how this may have occurred. We have presented evidence that suggests climate change may have had a role in the establishment and transmission of SARS-CoV-2 infection, and most possibly even in some of its clinical effects. Human activities bringing people into closer contact with bats and animals like pangolins that potentially represent the intermediate hosts, and evidence that climate-induced changes in vegetation are the main reservoir source of coronaviruses for human infection, are among the explanations. Although there are still unsubstantiated indications that the first viral pathogen may have escaped from a laboratory, it is possible that this encounter took place in the field or in marketplaces in the instance of COVID-19. We also present the argument that climate change is working to enhance transmission between diseased and uninfected humans, and this is true regardless of the source of the original development of the disease. Changes in temperature and humidity make it easier for viruses to survive, and the impacts of industrial pollution induce people to cough and sneeze, which releases highly infectious aerosols into the air. These three factors combine to make this a more likely scenario than it would otherwise be. We suggest that changes in climate are contributing to create conditions that are favorable for the development of more severe symptoms of illness. It is more difficult to build the argument for this circumstance, and much of it is indirect. However, climate change has caused some communities to adjust their nutritional habits, both in terms of the quantity of food they eat and the quality of the foods they consume. The effects frequently become apparent as a result of alterations that are imposed on the microbiome of the gut, which, in turn, influence the types of immune responses that are produced. The incidence of comorbidities like diabetes and animal vectors like bats that transmit other illnesses that modify vulnerability to SARS-CoV-2 are also two examples of the factors that have been affected by climate change. In order to curb the development of infectious illnesses caused by new viruses, it is necessary to understand the connection between environmental dynamics and the emergence of new coronaviruses. This knowledge should lead to initiatives aimed at reducing global greenhouse gas emissions.

Risk of COVID-19 among patients with respiratory illnesses and comorbidities at Eastern Province of Sri Lanka: A retrospective study

Background: There is a general belief that patients with comorbidities have a higher risk of contracting coronavirus disease 2019 (COVID-19) and subsequent death. However, there are significant gaps in understanding these risks. Objective: The study aimed to assess the risk of COVID-19 among respiratory illness patients admitted to the hospital with comorbidities. Method: A retrospective cohort study was conducted in a hospital in Sri Lanka, where the records of 428 patients with respiratory illness were studied for COVID-19 infection and comorbidities from 2020 to 2022. Results: In this sample, 67.1% had been infected with COVID-19 and 51.6% had comorbidities. The age group ≥60 years had two times higher risk for comorbidities, and the most frequently occurring condition was hypertension (58.8%). Surprisingly, the infection rate of COVID-19 among patients with comorbidities was 28% lower compared to patients with no comorbidities, but the odds ratio (OR) for dying was greater once the patient with comorbidities was infected with COVID-19 (OR = 7.5). An increased risk of death was observed for COVID-19 patients with diabetes mellitus (OR = 2), hypertension (OR = 2.5), heart diseases (OR = 4.3), and renal diseases (OR = 2.4). Conclusion: It was surprising to find that the infection rate and risk of death due to COVID-19 were lower among patients with chronic lung diseases. This could be due to early death at the beginning of the COVID-19 pandemic, less hospital admissions for patients with chronic lung diseases, or resistance to COVID-19, and these are factors that require further exploration.

Economic burden of COVID-19 for employers and employees in the United States

OBJECTIVE

Describe the economic burden of COVID-19 on employers and employees in the United States (US).

METHODS

A targeted literature review was conducted to evaluate the impact of COVID-19 on US-based employers and employees in terms of healthcare resource utilization (HCRU), medical costs, and costs associated with work-loss. Searches were conducted in MEDLINE, Embase, and EconLit using a combination of disease terms, populations, and outcomes to identify articles published from January 2021 to November 4, 2022. As data from the employer perspective were lacking, additional literature related to influenza were included to contextualize the impact of COVID-19, as it shifts into an endemic state, within the existing respiratory illness landscape.

RESULTS

A total of 41 articles were included in the literature review. Employer and employee perspectives were not well represented in the literature, and very few articles overlapped on any given outcome. HCRU, costs, and work impairment vary by community transmission levels, industry type, population demographics, telework ability, mitigation implementation measures, and company policies. Work-loss among COVID-19 cases were higher among the unvaccinated and in the week following diagnosis and for some, these continued for 6 months. HCRU is increased in those with COVID-19 and COVID-19-related HCRU can also continue for 6 months.

CONCLUSIONS

COVID-19 continues to be a considerable burden to employers. The majority of COVID-19 cases impact working age adults. HCRU is mainly driven by outpatient visits, while direct costs are driven by hospitalization. Productivity loss is higher for unvaccinated individuals. An increased focus to support mitigation measures may minimize hospitalizations and work-loss. A data-driven approach to implementation of workplace policies, targeted communications, and access to timely and appropriate therapies for prevention and treatment may reduce health-related work-loss and associated cost burden.

Development, validation and measurement of patient satisfaction questionnaire in Spanish in drive thru services adapted to hospital pharmacies during COVID-19 pandemic

Background

There are no validation studies on patient satisfaction surveys in Spanish that can evaluate a hospital pharmacy drive-thru service.

Objective

To develop and apply a pharmacy drive-thru satisfaction survey in Spanish during the COVID-19 pandemic with an analysis of the instrument validation.

Methods

This was a qualitative study for developing, validating, and measuring patient satisfaction who used the drive-thru pharmacy during the COVID-19 pandemic. Content validity was obtained by a two-round Delphi and patient interview for apparent validity. The questionnaire was administered to 110 patients. The researchers made an item reduction by inter-item and item-total correlation analysis, stability validation by a test-retest, a test of reliability by Cronbach's alpha, and extraction of factors by an exploratory factorial analysis. Likewise, confirmatory factor analysis was developed to obtain a structural equation model based on generating an instrument of two sub-models of latent factors (service and place) with ten observed variables (items).

Results

A questionnaire was developed that relates six observable variables to the latent factor service and four observable variables to the latent factor place which are ten items based on a Likert scale from 1 to 5, obtaining a Cronbach's alpha = 0.901. The mean population satisfaction score was 4.523. The model presented a Root Mean Square Error of Approximation (RMSEA) of 0.026 (0.000-0.098), and standardized beta values greater than 0.2 according to the confirmatory factor analysis. Therefore, the goodness-of-fit of our model is consistent and the instrument of patient satisfaction with the use of drive-thru has been validated. Patient satisfaction had a mean of 4.9 points.

Conclusions

This study developed and validated a reliable scale that evaluates satisfaction in a hospital pharmacy drive-thru service during COVID-19 pandemic that can be applied in other Spanish speaking countries. A great percentage of the patients that were evaluated had good satisfaction.

Identifying diseases associated with Post-COVID syndrome through an integrated network biology approach

A growing body of research shows that COVID-19 is now recognized as a multi-organ disease with a wide range of manifestations that can have long-lasting repercussions, referred to as post-COVID-19 syndrome. It is unknown why the vast majority of COVID-19 patients develop post-COVID-19 syndrome, or why patients with pre-existing disorders are more likely to experience severe COVID-19. This study used an integrated network biology approach to obtain a comprehensive understanding of the relationship between COVID-19 and other disorders. The approach involved building a PPI network with COVID-19 genes and identifying highly interconnected regions. The molecular information contained within these subnetworks, as well as the pathway annotations, were used to reveal the link between COVID-19 and other disorders. Using Fisher's exact test and disease-specific gene information, significant COVID-19-disease associations were discovered. The study discovered diseases that affect multiple organs and organ systems, thus proving the theory of multiple organ damage caused by COVID-19. Cancers, neurological disorders, hepatic diseases, cardiac disorders, pulmonary diseases, and hypertensive diseases are just a few of the conditions linked to COVID-19. Pathway enrichment analysis of shared proteins revealed the shared molecular mechanism of COVID-19 and these diseases. The findings of the study shed new light on the major COVID-19-associated disease conditions and how their molecular mechanisms interact with COVID-19. The novelty of studying disease associations in the context of COVID-19 provides new insights into the management of rapidly evolving long-COVID and post-COVID syndromes, which have significant global implications.Communicated by Ramaswamy H. Sarma.

A Study on Mortality Predictors in Hemodialysis Patients Infected with COVID-19: Impact of Vaccination Status

The global outbreak of COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has prompted significant public health concerns. This study focuses on 442 chronic hemodialysis patients diagnosed with COVID-19, emphasizing the impact of vaccination status on clinical outcomes. The study investigates the correlation between vaccination status and laboratory findings, aiming to identify predictive factors for mortality. Results indicate that vaccination status plays a crucial role in outcomes. Full vaccination, evidenced by two or three doses, is associated with better outcomes, including reduced incidence of bilateral pneumonia and lower risks of complications such as hemorrhage and thrombosis. Laboratory analyses reveal significant differences between vaccinated and unvaccinated patients in parameters like C-reactive protein, ferritin, and white blood cell counts. Univariate and multivariate Cox proportional hazards regression analyses identify several factors influencing mortality, including comorbidities, pneumonia development, and various inflammatory markers. In conclusion among hemodialysis patients affected by COVID-19 infection, vaccination with at least three doses emerges as a protective factor against fatal outcomes. Independent predictors of mortality are CRP levels upon admission, maximum CRP values during the illness and cardiovascular comorbidities. Noteworthy lymphocytopenia during infection exhibits a notable level of specificity and sensitivity in predicting mortality.

Racial difference in mortality among COVID-19 hospitalizations in California

In the US, racial disparities in hospital outcomes are well documented. We explored whether race was associated with all-cause in-hospital mortality and intensive care unit (ICU) admission among COVID-19 patients in California. This was a retrospective analysis of California State Inpatient Database during 2020. Hospitalizations ≥ 18 years of age for COVID-19 were included. Cox proportional hazards with mixed effects were used for associations between race and in-hospital mortality. Logistic regression was used for the association between race and ICU admission. Among 87,934 COVID-19 hospitalizations, majority were Hispanics (56.5%), followed by White (27.3%), Asian, Pacific Islander, Native American (9.9%), and Black (6.3%). Cox regression showed higher mortality risk among Hispanics, compared to Whites (hazard ratio, 0.91; 95% CI 0.87-0.96), Blacks (hazard ratio, 0.87; 95% CI 0.79-0.94), and Asian, Pacific Islander, Native American (hazard ratio, 0.89; 95% CI 0.83-0.95). Logistic regression showed that the odds of ICU admission were significantly higher among Hispanics, compared to Whites (OR, 1.70; 95% CI 1.67-1.74), Blacks (OR, 1.70; 95% CI 1.64-1.78), and Asian, Pacific Islander, Native American (OR, 1.82; 95% CI 1.76-1.89). We found significant disparities in mortality among COVID-19 hospitalizations in California. Hispanics were the worst affected with the highest mortality and ICU admission rates.

Increased Frequency of Low Back Pain in Recent Times: Does the Answer Lie in COVID-19?

Background The COVID-19 pandemic has impacted many people's activities of daily living and health. It has also created economic burdens and caused mental turmoil across the world. Musculoskeletal symptoms, especially low back pain, have been observed in subjects of post-COVID-19 infection and post-vaccination. Aim In this study, we aimed to investigate the relationship between low back pain and COVID-19 infection and vaccination, as well as associated factors and characteristics. Methods We conducted a questionnaire-based cross-sectional observational study at All India Institute of Medical Science (AIIMS) Bibinagar between September 2021 and March 2022. We collected data from individuals through physical and Google Forms (Google, Mountain View, California).  Results We included a total of 535 individuals in the study: 274 (51.2%) were previously positive for COVID-19 infection (group A), and 261 (48.8%) were vaccinated against COVID-19 without a history of COVID-19 infection (group B). Each group was divided into two categories based on whether they had low back pain before COVID-19 infection or vaccination. In group A, 90.1% of individuals experienced an aggravation of low back pain after COVID-19 infection, which was found to be significant (p<0.001). In group B, there was an insignificant increase in low back pain following COVID-19 vaccination (p=0.275). The study also revealed a significant association between comorbidities and low back pain in both groups (p<0.001). Additionally, several differences were observed between the two groups, including duration (p<0.001), severity (p=0.012), and intensity (p<0.001) of low back pain, usage of a back support or brace (p=0.043), and intake of vitamin D (p=0.002).  Conclusion Low back pain is an ignored feature of one of the musculoskeletal symptoms of COVID-19 and was aggravated by COVID-19 infection in our patients compared to those who received the vaccination. The findings of this study have implications for raising awareness, improving management and rehabilitation, and guiding future research in this area.

The effect of corticosteroids, antibiotics, and anticoagulants on the development of post-COVID-19 syndrome in COVID-19 hospitalized patients 6 months after discharge: a retrospective follow up study

To assess the effect of pharmacotherapeutic interventions commonly employed in the management of COVID-19 hospitalized patients on the development of post-COVID-19 syndrome. This study employed two distinct databases, the Medisch Spectrum Twente (MST) clinical database comprising electronic health records of COVID-19 patients hospitalized at MST, and the Post-COVID cohort database which contains follow-up information on the same patients. These databases were integrated to establish the potential relationship between the administration of corticosteroids, antibiotics, or anticoagulants during hospitalization and the occurrence of post-COVID-19 syndrome after a 6-month interval following discharge. A total of 123 patients who were hospitalized due to COVID-19 infection were included in this study. Among these patients, 33 (26.8%) developed post-COVID-19 syndrome which persisted even 6 months after hospital discharge. Multivariate analysis revealed that patients who received treatment with corticosteroids had a significantly lower likelihood (OR 0.32, 95% CI 0.11-0.90) of developing post-COVID-19 syndrome, while no significant association was observed for treatment with antibiotics (OR 1.26, 95% CI 0.47-3.39) or anticoagulants (OR 0.55, 95% CI 0.18-1.71). The findings of this study indicate that corticosteroids exert a significant protective effect against the development of post-COVID-19 syndrome in patients who were hospitalized due to COVID-19 infection. Although a trend towards a protective effect of anticoagulants was observed, it did not reach statistical significance. On the contrary, patients treated with antibiotics were shown to have increased chances of developing post-COVID-19 syndrome, although this effect was also not statistically significant.

Factors associated with the quality of life and persistent dyspnea severity in COVID-19 survivors: A cross-sectional study among healthcare workers

The coronavirus disease 2019 (COVID-19) pandemic had a significant impact on global health. The alterations in quality of life (QoL) and the persistent symptoms of dyspnea have been the healthcare workers' challenges during and after the pandemic. The aim of this study was to assess factors associated with the QoL and persistent dyspnea experienced by COVID-19 survivors, particularly among healthcare workers. A cross-sectional study was conducted among healthcare workers at H. Adam Malik General Hospital, Medan, Indonesia, using direct interviews to collect the data. The EuroQol 5-dimensional 5-level (EQ-5D-5L) and the self-assessment EuroQol-visual analog scale (EQ-VAS) were employed to assess the QoL of the healthcare workers; and persistent dyspnea was evaluated using the modified Medical Research Council (mMRC) scale. Several possible risk factors such as demographic characteristics (gender and age), clinical characteristics (comorbidities, history of hospitalization, oxygen usage, history of COVID-19 vaccination, the severity of previous COVID-19, existence of post-COVID syndrome) and the symptoms of the post-COVID syndrome were collected. Chi-squared test or Fisher's exact test was used to identify the risk factors associated with the QoL and persistent dyspnea. A total of 100 healthcare workers were included in the study. The EQ-5D-5L assessment found that 2% of healthcare workers experienced pain/discomfort and 4% experienced anxiety/depression. The average healthcare worker's EQ-VAS score was 87.6±8.1. There was no significant association between studied demographics and clinical characteristics with QoL dimensions. However, post-COVID symptoms of activity limitation (p=0.004), sore throat (p=0.026), headache (p=0.012), myalgia (p=0.006), and arthralgia (p=0.001) were associated with pain/discomfort dimension of QoL. In addition, there was a significant association between activity limitation (p=0.012), headache (p=0.020), myalgia (p=0.015) and arthralgia (p=0.032) with anxiety/depression dimension of QoL. Our data suggested that the presence of post-COVID syndrome (p=0.006) and the presence of post-COVID syndrome symptoms of cough (p=0.021) and fatigue (p=0.015) were associated with persistent dyspnea. In conclusion, this study suggests that the presence of post-COVID syndrome and its symptoms are associated with low quality of health-related QoL and persistent dyspnea. Therefore, cautions are needed for such patients to prevent low QoL in the future.