Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis

Cardiac Involvement in Children Affected by COVID-19: Clinical Features and Diagnosis

COVID-19 (Coronavirus disease 2019) in children is usually mild. However, multiple organ disorders associated with SARS-CoV-2 (severe acute respiratory syndrome-related coronavirus 2) have been detected with poor respiratory symptoms. Cardiac changes are noted in 17% to 75% of cases, which are associated with diagnostic difficulties in high-risk groups for the development of complications that are associated with myocardial damage by the SARS-CoV-2 virus. The objective of this review is to identify the most significant symptoms of cardiac involvement affected by COVID-19, which require in-depth examination. The authors analyzed publications from December 2019 to the October 2022, which were published in accessible local and international databases. According to the analysis data, the main sign of myocardial involvement was increasing as cardiomarkers in the patient's blood, in particular troponin I or troponin T. Many authors noted that the increased level of CRP (C-reactive protein) and NT-proBNP, which are accompanied by changes in the ECG (electrocardiogram) and EchoCG (echocardiography), as a rule, were nonspecific. However, the identified cardiac functional dysfunctions affected by SARS-CoV-2, required an cardiac MRI. The lack of timely diagnosis of myocardial involvements, especially in children at high risk for the development of complications associated with SARS-CoV-2 myocardial injury, can lead to death. The direct damage of the structural elements of myocardial blood vessels in patients with severe hypoxic changes resulted from respiratory failure caused by SARS-CoV-2 lung damage, with the development of severe acute diffuse alveolar damage and cell-mediated immune response and myocardial involvement affected by SARS-CoV-2 damage. In this article, the authors introduce a clinical case of a child who dead from inflammatory myocardities with COVID-19 in a background of congenital heart disease and T-cell immunodeficiency.

Characterization of COVID-19 cases in the early phase (March to July 2020) of the pandemic in Kenya

Background

Kenya detected the first case of COVID-19 on March 13, 2020, and as of July 30, 2020, 17 975 cases with 285 deaths (case fatality rate (CFR) = 1.6%) had been reported. This study described the cases during the early phase of the pandemic to provide information for monitoring and response planning in the local context.

Methods

We reviewed COVID-19 case records from isolation centres while considering national representation and the WHO sampling guideline for clinical characterization of the COVID-19 pandemic within a country. Socio-demographic, clinical, and exposure data were summarized using median and mean for continuous variables and proportions for categorical variables. We assigned exposure variables to socio-demographics, exposure, and contact data, while the clinical spectrum was assigned outcome variables and their associations were assessed.

Results

A total of 2796 case records were reviewed including 2049 (73.3%) male, 852 (30.5%) aged 30-39 years, 2730 (97.6%) Kenyans, 636 (22.7%) transporters, and 743 (26.6%) residents of Nairobi City County. Up to 609 (21.8%) cases had underlying medical conditions, including hypertension (n = 285 (46.8%)), diabetes (n = 211 (34.6%)), and multiple conditions (n = 129 (21.2%)). Out of 1893 (67.7%) cases with likely sources of exposure, 601 (31.8%) were due to international travel. There were 2340 contacts listed for 577 (20.6%) cases, with 632 contacts (27.0%) being traced. The odds of developing COVID-19 symptoms were higher among case who were aged above 60 years (odds ratio (OR) = 1.99, P = 0.007) or had underlying conditions (OR = 2.73, P < 0.001) and lower among transport sector employees (OR = 0.31, P < 0.001). The odds of developing severe COVID-19 disease were higher among cases who had underlying medical conditions (OR = 1.56, P < 0.001) and lower among cases exposed through community gatherings (OR = 0.27, P < 0.001). The odds of survival of cases from COVID-19 disease were higher among transport sector employees (OR = 3.35, P = 0.004); but lower among cases who were aged ≥60 years (OR = 0.58, P = 0.034) and those with underlying conditions (OR = 0.58, P = 0.025).

Conclusion

The early phase of the COVID-19 pandemic demonstrated a need to target the elderly and comorbid cases with prevention and control strategies while closely monitoring asymptomatic cases.

Is targeting angiotensin-converting enzyme 2 (ACE2) a prophylactic strategy against COVID-19?

Prophylaxis against COVID-19 is greatly needed for vulnerable populations who have a higher risk of developing severe disease. Vaccines and neutralizing antibodies against SARS-CoV-2 are currently the main approaches to preventing the virus infection. However, the constant mutation of SARS-CoV-2 poses a huge challenge to the effectiveness of these prophylactic strategies. A recent study suggested that downregulation of angiotensin-converting enzyme 2 (ACE2), the receptor of SARS-CoV-2 entry into human cells, can decrease susceptibility to viral infection in vitro, in vivo, and in human lungs and livers perfused ex situ. These findings indicate the potential to use agents to reduce ACE2 expression to prevent COVID-19, but the efficacy and safety should be verified in clinical trials. Considering ACE2 performs physiological functions, risks due to its downregulation and benefits from prophylaxis against SARS-CoV-2 infection should be carefully weighed. In the future, updating vaccines against variants of SARS-CoV-2 might still be an important strategy for prophylaxis against COVID-19. Soluble recombinant human ACE2 that acts as a decoy receptor might be an option to overcome the mutation of SARS-CoV-2.

Factors associated with improved outcome of inhaled corticosteroid use in COVID-19: A single institutional study

Asthmatics seem less prone to adverse outcomes in coronavirus disease 2019 (COVID-19) and some data shows that inhaled corticosteroids (ICS) are protective. We gathered data on anecdotal ICS and outcomes of patients hospitalized with COVID-19, given there is literature supporting ICS may reduce risk of severe infection. In addition, we fill gaps in current literature evaluating Charlson Comorbidity Index (CCI) as a risk assessment tool for COVID-19. This was a single-center, retrospective study designed and conducted to identify factors associated intubation and inpatient mortality. A multivariate logistic regression model was fit to generate adjusted odds ratios (OR). Intubation was associated with male gender (OR, 2.815; 95% confidence interval [CI], 1.348-5.881; P = .006) and increasing body mass index (BMI) (OR, 1.053; 95% CI, 1.009-1.099; P = .019). Asthma was associated with lower odds for intubation (OR, 0.283; 95% CI, 0.108-0.74; P = .01). 80% of patients taking pre-hospital ICS were not intubated (n = 8). In-patient mortality was associated with male gender (OR, 2.44; 95% CI, 1.167-5.1; P = .018), older age (OR, 1.096; 95% CI, 1.052-1.142; P = <.001), and increasing BMI (OR, 1.079; 95% CI, 1.033-1.127; P = .001). Asthma was associated with lower in-patient mortality (OR, 0.221; 95% CI, 0.057-0.854; P = .029). CCI did not correlate with intubation (OR, 1.262; 95% CI, 0.923-1.724; P = .145) or inpatient mortality (OR, 0.896; 95% CI, 0.665-1.206; P = .468). Asthmatics hospitalized for COVID-19 had less adverse outcomes, and most patients taking pre-hospital ICS were not intubated. CCI score was not associated with intubation or inpatient mortality.

Molecular signatures in the progression of COVID-19 severity

SARS-CoV-2 is the causative agent of COVID-19 that has infected over 642 million and killed over 6.6 million people around the globe. Underlying a wide range of clinical manifestations of this disease, from moderate to extremely severe systemic conditions, could be genes or pathways differentially expressing in the hosts. It is therefore important to gain insights into pathways involved in COVID-19 pathogenesis and host defense and thus understand the host response to this pathogen at the physiological and molecular level. To uncover genes and pathways involved in the differential clinical manifestations of this disease, we developed a novel gene co-expression network based pipeline that uses gene expression obtained from different SARS-CoV-2 infected human tissues. We leveraged the network to identify novel genes or pathways that likely differentially express and could be physiologically significant in the COVID-19 pathogenesis and progression but were deemed statistically non-significant and therefore not further investigated in the original studies. Our network-based approach aided in the identification of co-expression modules enriched in differentially expressing genes (DEGs) during different stages of COVID-19 and enabled discovery of novel genes involved in the COVID-19 pathogenesis, by virtue of their transcript abundance and association with genes expressing differentially in modules enriched in DEGs. We further prioritized by considering only those enriched gene modules that have most of their genes differentially expressed, inferred by the original studies or this study, and document here 7 novel genes potentially involved in moderate, 2 in severe, 48 in extremely severe COVID-19, and 96 novel genes involved in the progression of COVID-19 from severe to extremely severe conditions. Our study shines a new light on genes and their networks (modules) that drive the progression of COVID-19 from moderate to extremely severe condition. These findings could aid development of new therapeutics to combat COVID-19.

Prolongation of the QTc Interval at Admission is Associated with Increased Mortality in Patients with SARS-COV-2 during Hospitalization

BACKGROUND

Cardiovascular involvement associated with SARS-COV-2 infection is related to unfavorable outcomes during hospitalization. Therefore, the measurement at the admission of the QTc interval on the 12-lead electrocardiogram may be a prognostic marker.

OBJECTIVE

To identify the relationship between QTc prolongation at admission during hospitalization and mortality from SARS-COV-2.

METHOD

Observational study based on a retrospective cohort of patients with confirmed SARS-COV-2 infection from San Ignacio University Hospital, Bogotá (Colombia), between March 19, 2020, and July 31, 2021. Mortality was compared in patients with prolonged and normal QTc at admission after controlling by clinical variables and comorbidities using bivariate and multivariate logistic regression models. A p-value <0.05 was considered statistically significant.

RESULTS

1296 patients were analyzed, and 127 (9.8%) had prolonged QTc. Mortality was higher in patients with prolonged QTc (39.4% vs 25.3%, p=0.001), as was hospital stay (median 11vs.8 days; p=0.002). In the multivariate analysis, mortality was associated with prolonged QTc (OR 1.61, 95% CI: 1.02; 2.54, p=0.038), age (OR 1.03, 95% CI 1.02; 1.05, p<0.001), male sex (OR 2.15, 95% CI 1.60; 2.90, p <0.001), kidney disease (OR 1.32, 95% CI 1.05; 1.66, p =0.018) and Charlson comorbidity index > 3 (OR 1.49, 95% CI 1.03; 2.17, p=0.035).

CONCLUSIONS

Hospital mortality due to SARS-COV-2 is associated with prolonging the QTc interval at the time of admission, even after adjusting for age, sex, comorbidities, and basal severity of infection. Additional research is needed to establish whether these findings are related to cardiac involvement by the virus, hypoxia, and systemic inflammation.

Patients with type 1 and type 2 diabetes hospitalized with COVID-19 in comparison with influenza: mortality and cardiorenal complications assessed by nationwide Swedish registry data

BACKGROUND

The risk of severe coronavirus disease 2019 (COVID-19) is increased in people with diabetes, but effects of diabetes type and other risk factors remain incompletely characterized. We studied this in a Swedish cohort of hospitalized patients with type 1 and type 2 diabetes (T1D and T2D), also including comparisons with influenza epidemics of recent years.

METHODS

Nationwide healthcare registries were used to identify patients. A total of 11,005 adult patients with diabetes (T1D, n = 373; T2D, n = 10,632) were hospitalized due to COVID-19 from January 1, 2020 to September 1, 2021. Moreover, 5111 patients with diabetes (304 T1D, 4807 T2D) were hospitalized due to influenza from January 1, 2015 to December 31, 2019. Main outcomes were death within 28 days after admission and new hospitalizations for heart failure (HF), chronic kidney disease (CKD), cardiorenal disease (CRD; composite of HF and CKD), myocardial infarction (MI) and stroke during 1 year of follow-up.

RESULTS

Number of deaths and CRD events were 2025 and 442 with COVID-19 and 259 and 525 with influenza, respectively. Age- and sex-adjusted Cox regression models in COVID-19 showed higher risk of death and HF in T1D vs. T2D, hazard ratio (HR) 1.77 (95% confidence interval 1.41-2.22) and 2.57 (1.31-5.05). With influenza, T1D was associated with higher risk of death compared with T2D, HR 1.80 (1.26-2.57). Older age and previous CRD were associated with higher risks of death and hospitalization for CRD. After adjustment for prior comorbidities, mortality differences were still significant, but there were no significant differences in cardiovascular and renal outcomes. COVID-19 relative to influenza was associated with higher risk of death in both T1D and T2D, HR 2.44 (1.60-3.72) and 2.81 (2.59-3.06), respectively.

CONCLUSIONS

In Sweden, patients with T1D as compared to T2D had a higher age- and sex-adjusted risk of death within 28 days and HF within one year after COVID-19 hospitalization, whereas the risks of other non-fatal cardiovascular and renal disease events were similar. Patients with T1D as well as T2D have a greater mortality rate when hospitalized due to COVID-19 compared to influenza, underscoring the importance of vaccination and other preventive measures against COVID-19 for diabetes patients.

Knowledge, attitudes, practices, and its associated factors toward COVID-19 pandemic among Bangladeshi older adults

BACKGROUND

The newly emerged COVID-19 has an unprecedented impact on all classes of people, particularly the elderly. The knowledge, attitudes, and practices (KAP) of older adults toward COVID-19 are currently unknown. This study aimed to investigate the KAP and its associated factors toward COVID-19 among older adults in Bangladesh.

METHODS

A cross-sectional survey was conducted from April to May 2021 among Bangladeshi older adults. Face-to-face interviews were used to collect data from five selected divisions in Bangladesh using simple random sampling. The questionnaire consisted of socio-demographic characteristics, disease conditions, and KAP toward COVID-19. Descriptive statistics, t-tests, one-way analysis of variance (ANOVA), and logistic regression analyses were performed.

RESULTS

Out of 900 respondents, the majority of older adults (82.9%) indicated that COVID-19 is a viral disease and the major clinical symptom of COVID-19 (86.5%). Only 22.1% of participants always washed their hands with soap or hand sanitizer, and 27.6% wore a mask to protect against the virus when going outside the home. Overall, 55.2% had adequate knowledge, 50.2% had positive attitudes toward COVID-19 and only 22.7% had good practices. Out of 30 scores, mean score values were 20.8±6.7 in the knowledge section, 21.2±4.3 in the attitude section, and 11.3±6.7 in the practice section out of 30. In binary logistic regression analysis, factors associated with poor knowledge, and practices were being male, aged >70 years, having a primary education, less income <5000BDT, and multimorbidity (p < 0.05). Participants having poor knowledge of COVID-19 had higher likelihood of negative attitudes (OR: 6.79, 95% CI = 4.87-9.47, p < 0.001) and poor practices (OR: 9.15, 95% CI = 6.94-13.16, p < 0.001).

CONCLUSION

The findings highlight the need for immediate implementation of health education programs and adequate intervention programs for COVID-19 which integrates consideration of associated factors to improve the level of older adults' knowledge, attitudes, and practices.

Bioinformatics insights into the genes and pathways on severe COVID-19 pathology in patients with comorbidities

Background: Coronavirus disease (COVID-19) infection is known for its severe clinical pathogenesis among individuals with pre-existing comorbidities. However, the molecular basis of this observation remains elusive. Thus, this study aimed to map key genes and pathway alterations in patients with COVID-19 and comorbidities using robust systems biology approaches. Methods: The publicly available genome-wide transcriptomic datasets from 120 COVID-19 patients, 281 patients suffering from different comorbidities (like cardiovascular diseases, atherosclerosis, diabetes, and obesity), and 252 patients with different infectious diseases of the lung (respiratory syncytial virus, influenza, and MERS) were studied using a range of systems biology approaches like differential gene expression, gene ontology (GO), pathway enrichment, functional similarity, mouse phenotypic analysis and drug target identification. Results: By cross-mapping the differentially expressed genes (DEGs) across different datasets, we mapped 274 shared genes to severe symptoms of COVID-19 patients or with comorbidities alone. GO terms and functional pathway analysis highlighted genes in dysregulated pathways of immune response, interleukin signaling, FCGR activation, regulation of cytokines, chemokines secretion, and leukocyte migration. Using network topology parameters, phenotype associations, and functional similarity analysis with ACE2 and TMPRSS2-two key receptors for this virus-we identified 17 genes with high connectivity (CXCL10, IDO1, LEPR, MME, PTAFR, PTGS2, MAOB, PDE4B, PLA2G2A, COL5A1, ICAM1, SERPINE1, ABCB1, IL1R1, ITGAL, NCAM1 and PRKD1) potentially contributing to the clinical severity of COVID-19 infection in patients with comorbidities. These genes are predicted to be tractable and/or with many existing approved inhibitors, modulators, and enzymes as drugs. Conclusion: By systemic implementation of computational methods, this study identified potential candidate genes and pathways likely to confer disease severity in COVID-19 patients with pre-existing comorbidities. Our findings pave the way to develop targeted repurposed therapies in COVID-19 patients.

The Role of Bacterial and Fungal Superinfection in Critical COVID-19

BACKGROUND

The range of reported rates of bacterial and fungal superinfections in patients with a severe course of COVID-19 is wide, suggesting a lack of standardised reporting.

METHODS

The rates of bacterial and fungal superinfection were assessed using predefined criteria to differentiate between infection and contamination.

RESULTS

Overall, 117 patients admitted to the Intensive Care Unit due to severe COVID-19 were included. Overall, 55% of patients developed a superinfection and 13.6% developed a fungal superinfection (5.9% candidemia and 7.7% CAPA). The rate of ventilator-associated pneumonia was 65.2%. If superinfection was detected, the length of hospital stay was significantly longer and the mortality was especially increased if candidemia was detected. An increased risk of superinfection was observed in patients with pre-existing diabetes mellitus or chronic heart failure. The presence of immunomodulating therapy did not seem to have an impact on the frequency of superinfections.

CONCLUSION

Increased awareness of high superinfection rates, fungal infections in particular, in patients suffering from severe COVID-19 is necessary.

Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data

BACKGROUND

Older adults have worse outcomes following hospitalization with COVID-19, but within this group there is substantial variation. Although frailty and comorbidity are key determinants of mortality, it is less clear which specific manifestations of frailty and comorbidity are associated with the worst outcomes.

OBJECTIVE

We aimed to identify the key comorbidities and domains of frailty that were associated with in-hospital mortality in older patients with COVID-19 using models developed for machine learning algorithms.

METHODS

This was a retrospective study that used the Hospital Episode Statistics administrative data set from March 1, 2020, to February 28, 2021, for hospitalized patients in England aged 65 years or older. The data set was split into separate training (70%), test (15%), and validation (15%) data sets during model development. Global frailty was assessed using the Hospital Frailty Risk Score (HFRS) and specific domains of frailty were identified using the Global Frailty Scale (GFS). Comorbidity was assessed using the Charlson Comorbidity Index (CCI). Additional features employed in the random forest algorithms included age, sex, deprivation, ethnicity, discharge month and year, geographical region, hospital trust, disease severity, and International Statistical Classification of Disease, 10th Edition codes recorded during the admission. Features were selected, preprocessed, and input into a series of random forest classification algorithms developed to identify factors strongly associated with in-hospital mortality. Two models were developed; the first model included the demographic, hospital-related, and disease-related items described above, as well as individual GFS domains and CCI items. The second model was similar to the first but replaced the GFS domains and CCI items with the HFRS as a global measure of frailty. Model performance was assessed using the area under the receiver operating characteristic (AUROC) curve and measures of model accuracy.

RESULTS

In total, 215,831 patients were included. The model using the individual GFS domains and CCI items had an AUROC curve for in-hospital mortality of 90% and a predictive accuracy of 83%. The model using the HFRS had similar performance (AUROC curve 90%, predictive accuracy 82%). The most important frailty items in the GFS were dementia/delirium, falls/fractures, and pressure ulcers/weight loss. The most important comorbidity items in the CCI were cancer, heart failure, and renal disease.

CONCLUSIONS

The physical manifestations of frailty and comorbidity, particularly a history of cognitive impairment and falls, may be useful in identification of patients who need additional support during hospitalization with COVID-19.

Dying with Cancer and COVID-19, with Special Reference to Lung Cancer: Frailty as a Risk Factor

Older age and frailty have been associated with COVID-19 deaths, but frailty has seldom been studied in the context of cancer. The aim of this paper was therefore to study frailty (measured using the Hospital Frailty Risk Score) and other risk factors in patients who died with advanced cancer and a concomitant COVID-19 infection, with special reference to lung cancer. Of 4312 patients who died with cancer, 282 had concomitant COVID-19 (within the last 30 days), and these patients were significantly older, more often men, and residents of nursing homes. They often had less access to specialized palliative care, and they died more often in acute hospital settings. Patients with cancer who died with COVID-19 were more often frail (57% vs. 45%, p = 0.0002), and frailty was independently associated with COVID-19-related deaths, both in univariable and multivariable regression models, as well as when controlling for age, sex, socioeconomic factors on an area level, and comorbidity (measured using the Charlson Comorbidity Index). In the final multivariable model, where patients with cancer who died in nursing homes were excluded, belonging to the high-risk frailty group (OR 2.07 (1.31-3.27), p = 0.002) was the strongest prognostic variable in the model. In a separate analysis of a subgroup of deaths due to lung cancer (n = 653, of which 45 deaths occurred with concomitant COVID-19), the above associations were not significant, possibly due to too-few cases. In conclusion, frailty is a strong predictor of cancer deaths and should be addressed in cancer care.

Pulmonary Rehabilitation in SARS-CoV-2: A Systematic Review and Meta-Analysis of Post-Acute Patients

BACKGROUND

Pulmonary Rehabilitation (PR) was initially developed for the management of Chronic Obstructive Pulmonary Disease (COPD) and is now recognized as a core management of COVID-19 patients. This systematic review and meta-analysis examined the efficacy of PR in patients with post-acute COVID-19 infection.

METHODS

A literature search was conducted in PubMed, the Web of Science (WoS), and the Cochrane Library from their inceptions until October 2022, and randomized controlled trials and observational studies were considered. The outcomes measured included dyspnea, physical function, and quality of life.

RESULTS

Eleven studies including 677 participants with post-acute COVID-19 were included in this analysis. From a qualitative point of view and analyzing the studies separately, PR improves dyspnea, physical function, and quality of life in patients with post-acute COVID-19. However, in pooling the data of all the studies, no significant changes pre-postintervention, compared to the control, were found among the experimental studies included in the analysis in any outcome measures, due to the high heterogeneity between the studies, as well as no significant improvements being found in the observational studies. A subgroup analysis revealed significant differences in all the included outcomes. Future studies should include the same scale to assess the actual efficacy of PR.

CONCLUSION

From a qualitative analysis point of view, PR is effective in improving physical function, reducing dyspnea, and improving quality of life in patients with post-acute COVID-19. However, an exploratory meta-analysis was performed to evaluate, by subgroups, the efficacy of PR, and positive results were found in favor of PR.

An NLP tool for data extraction from electronic health records: COVID-19 mortalities and comorbidities

Background

The high infection rate, severe symptoms, and evolving aspects of the COVID-19 pandemic provide challenges for a variety of medical systems around the world. Automatic information retrieval from unstructured text is greatly aided by Natural Language Processing (NLP), the primary approach taken in this field. This study addresses COVID-19 mortality data from the intensive care unit (ICU) in Kuwait during the first 18 months of the pandemic. A key goal is to extract and classify the primary and intermediate causes of death from electronic health records (EHRs) in a timely way. In addition, comorbid conditions or concurrent diseases were retrieved and analyzed in relation to a variety of causes of mortality.

Method

An NLP system using the Python programming language is constructed to automate the process of extracting primary and secondary causes of death, as well as comorbidities. The system is capable of handling inaccurate and messy data, this includes inadequate formats, spelling mistakes and mispositioned information. A machine learning decision trees method is used to classify the causes of death.

Results

For 54.8% of the 1691 ICU patients we studied, septic shock or sepsis-related multiorgan failure was the leading cause of mortality. About three-quarters of patients die from acute respiratory distress syndrome (ARDS), a common intermediate cause of death. An arrhythmia (AF) disorder was determined to be the strongest predictor of intermediate cause of death, whether caused by ARDS or other causes.

Conclusion

We created an NLP system to automate the extraction of causes of death and comorbidities from EHRs. Our method processes messy and erroneous data and classifies the primary and intermediate causes of death of COVID-19 patients. We advocate arranging the EHR with well-defined sections and menu-driven options to reduce incorrect forms.

The impact of COVID-19 pandemic on cardiac rehabilitation of patients following acute coronary syndrome

BACKGROUND

Cardiac rehabilitation improves prognosis and symptoms in cardiac patients. In 2020, due to the COVID-19 pandemic, cardiac rehabilitation services were temporarily suspended between April and August. We aimed to investigate the effect of cardiac rehabilitation suspension during the COVID-19 pandemic on patients' exercise capacity and metabolic parameters.

METHODS

Included were patients undergoing cardiac rehabilitation following hospital admission for ACS. Exercise capacity, weight and body fat percentage were compared between baseline, pre- and post-lockdown visits.

RESULTS

A total of 281 patients participated in the cardiac rehabilitation program prior to its suspension. Of them, only 198 (70%) patients returned to the program on its renewal and were included in the analysis. Exercise capacity improved significantly in the pre-lockdown stress test compared to baseline. However, there was a significant decrease in exercise capacity in the post compared to pre-lockdown test (8.1±6.3 and 7.1±2.1 METs in pre- and post-lockdown measurements, respectively, p<0.001). Of the 99 (50%) of patients that demonstrated at least 10% improvement in exercise capacity in the pre-lockdown test, 48(48.5%) patients returned to their baseline values in the post-lockdown test. Post-lockdown assessment demonstrated a significant weight gain (80.3 and 81.1kg, in pre- and post-lockdown measurements, respectively, p<0.001) as well as an increase in visceral fat level and body fat percentage.

CONCLUSIONS

Cardiac rehabilitation suspension for 4 months during COVID-19 pandemic caused a significant reduction in exercise capacity and increased weight and body fat percent. These findings highlight the importance of remote cardiac rehabilitation services that can continue uninterrupted in times of pandemic.

Computational modeling of the effect of five mutations on the structure of the ACE2 receptor and their correlation with infectivity and virulence of some emerged variants of SARS-CoV-2 suggests mechanisms of binding affinity dysregulation

Interactions between the human angiotensin-converting enzyme 2 (ACE2) and the RBD region of the SARS-CoV-2 Spike protein are critical for virus entry into the host cell. The objective of this work was to identify some of the most relevant SARS-CoV-2 Spike variants that emerged during the pandemic and evaluate their binding affinity with human variants of ACE2 since some ACE2 variants can enhance or reduce the affinity of the interaction between the ACE2 and S proteins. However, no information has been sought to extrapolate to different variants of SARS-CoV-2. Therefore, to understand the impact on the affinity of the interaction between ACE2 protein variants and SARS-CoV-2 protein S variants, molecular docking was used in this study to predict the effects of five mutations of ACE2 when they interact with Alpha, Beta, Delta, Omicron variants and a hypothetical variant, which present mutations in the RBD region of the SARS-CoV-2 Spike protein. Our results suggest that these variants could alter the interaction of the Spike and the human ACE2 protein, losing or creating new inter-protein contacts, enhancing viral fitness by improving binding affinity, and leading to an increase in infectivity, virulence, and transmission. This investigation highlighted that the S19P mutation of ACE2 decreases the binding affinity between the ACE2 and Spike proteins in the presence of the Beta variant and the wild-type variant of SARS-CoV-2 isolated in Wuhan-2019. The R115Q mutation of ACE2 lowers the binding affinity of these two proteins in the presence of the Beta and Delta variants. Similarly, the K26R mutation lowers the affinity of the interaction between the ACE2 and Spike proteins in the presence of the Alpha variant. This decrease in binding affinity is probably due to the lack of interaction between some of the key residues of the interaction complex between the ACE2 protein and the RBD region of the SARS-CoV-2 Spike protein. Therefore, ACE2 mutations appear in the presence of these variants, they could suggest an intrinsic resistance to COVID-19 disease. On the other hand, our results suggested that the K26R, M332L, and K341R mutations of ACE2 expressively showed the affinity between the ACE2 and Spike proteins in the Alpha, Beta, and Delta variants. Consequently, these ACE2 mutations in the presence of the Alpha, Beta, and delta variants of SARS-CoV-2 could be more infectious and virulent in human cells compared to the SARS-CoV-2 isolated in Wuhan-2019 and it could have a negative prognosis of the disease. Finally, the Omicron variant in interaction with ACE2 WT, S19P, R115Q, M332L, and K341R mutations of ACE2 showed a significant decrease in binding affinity. This could be consistent that the Omicron variant causes less severe symptoms than previous variants. On the other hand, our results suggested Omicron in the complex with K26R, the binding affinity is increased between ACE2/RBD, which could indicate a negative prognosis of the disease in people with these allelic conditions.

An investigation of coronaphobia and physical activity among patients with rheumatoid arthritis

Objectives

This study aims to investigate coronaphobia and physical activity levels in patients with rheumatoid arthritis (RA).

Patients and methods

Between December 2021 and February 2022, a total of 68 RA patients (11 males, 57 females; mean age: 48.3±10.1 years; range, 29 to 78 years) and 64 age- and sex-matched healthy individuals (4 males, 60 females; mean age: 47.9±10.2 years; range, 23 to 70 years) were included in this cross-sectional study. Demographic, physical, lifestyle, and medical characteristics of all participants were recorded. The COVID-19 Phobia Scale (C19PS) and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) were administered to all participants. The RA patients were divided into two groups as: patients treated with biological and non-biological agents. The Disease Activity Score-28 (DAS28) and Clinical Disease Activity Index (CDAI) were used to measure disease activity.

Results

The total and subgroup scores of the C19P-S were found to be statistically significantly higher in both the biological and non-biological RA groups than in the control group (p=0.001). However, there was no statistically significant difference between the RA groups in terms of total and subgroup C19P-S scores. The mean IPAQ score was significantly lower in the RA group using biological drugs than in the control group (p=0.002). A significant correlation was found between DAS28 and total C19P-S scores (r:0.63, p<0.05), and CDAI and total C19P-S scores (r:0.79, p<0.05).

Conclusion

Patients with RA have an increased risk of coronaphobia and disease activity is correlated with coronaphobia. Patients treated with biological agents seem to have lower activity levels compared to other RA patients and healthy controls. These results should be considered in the management of RA during COVID-19 pandemic and preventive intervention strategies should be formulated to cope with coronaphobia.

Effect of Hypertension Comorbidity on Clinical Characteristics of COVID-19 Patients Infected by the Wild-Type, the Delta or Omicron Variant SARS-CoV-2

Background

Hypertension was the most common comorbidity in patients with the coronavirus disease 2019 (COVID-19). We aim to study the effect of comorbid hypertension on the clinical characteristics of COVID-19 patients with the underlying mechanism.

Methods

We retrospectively analyzed 459, 336 and 659 COVID-19 patients who were infected by the wild-type, the delta and omicron variant, respectively, including their demographic information, medical history, immunization record (if available), and laboratory parameters, to investigate the clinical differences between COVID-19 patients with and without hypertension.

Results

In this study 26.1%, 26.8%, and 12.9% of COVID-19 patients had pre-existing hypertension in the cohort of wild-type, delta, and omicron variant, respectively. Compared to non-hypertensive peers, hypertension patients demonstrated older age, higher occurrence of other major comorbidities, and poorer blood or coagulation parameters, showing worse prognosis. In case of the delta or omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, hypertension patients produced robust antibody responses, although indistinguishable whether it was due to vaccination or natural infection and resembled those of non-hypertensive peers in blood cell and coagulation profiles with still varying viremic damages to major organs.

Conclusions

Resultantly, COVID-19 infection promoted pro-inflammatory and pro-thrombotic states in hypertension patients, whereas vaccinated individuals would exhibit favorable prognoses.

The effect of diabetes mellitus on disease prognosis in COVID-19 patients

BACKGROUND

In this study, we aimed to evaluate and compare the clinical characteristics, laboratory findings, and outcomes of hospitalized patients with and without diabetes along with poorly vs. well-controlled diabetes.

METHODS

A total of 341 hospitalized patients with COVID-19 confirmed by RT-PCR and/or chest imaging suggestive of COVID-19 infection were retrospectively included in this study. The patients were divided into 2 groups as diabetic (n = 120) and non-diabetic (n = 221). Demographic data, symptoms, comorbidities, and laboratory values were recorded. The patients were classified according to the clinical stages defined by guidance of the WHO for COVID-19. The percentage of patients with severe disease was higher in diabetic group (n = 57) 47.5% compared to non-diabetic group (n = 61) 27.8% (p = 0.001). The percentage of patients requiring oxygen therapy was significantly higher in 61 (51.2%) diabetic group than non-diabetic group 65 (29.4%) (p = 0.001). The median duration of hospitalization in the diabetic group was 8 days [IQR 6-11.5] that was significantly higher than the non-diabetic group as 7 days [IQR 5-10] (p = 0.009). The median duration of hospitalization in poorly controlled diabetic group was 9 days [IQR 6.00-16.00] that was significantly higher than well-controlled diabetic group 8 days [IQR 6.00-11.00] (p = 0.006).

RESULTS

Patients with diabetes were more susceptible to COVID-19 infection and the infection was more severe in patients with diabetes compared to patients without diabetes. However, the mortality rate was similar between diabetic and non-diabetic group. Diabetic COVID-19 patients without other comorbidities were not prone to severe infection.

CONCLUSION

Patients with diabetes and comorbidities, apart from the glycemic control, should receive intensive monitoring and disease management.

Cardiovascular Concerns from COVID-19 in Pilots

BACKGROUND: Cardiovascular disease, now complicated by the COVID-19 pandemic, remains a leading cause of death and risk for sudden incapacitation for pilots during flight. The capacity for aeromedically significant cardiovascular sequelae with potentially imperceptible clinical symptoms elicits concern both during and following resolution of acute COVID-19 in pilots.OBJECTIVE: We summarize the current state of knowledge regarding COVID-19 cardiovascular implications as applied to the aviation environment to better understand their significance toward flight safety and application toward a focused cardiovascular screening protocol following recovery from infection.METHODS: A narrative review of the cardiovascular implications of COVID-19 infection was performed using the PubMed literature search engine and existing organizational guidelines. In addition, to established medical aviation benchmarks, surrogate populations examined included high performance athletes (as a correlate for high G-forces), and scuba divers (as an environmental work analog). Conditions of primary concern included myocardial injury, proarrhythmic substrates, risk of sudden death, myopericarditis, pulse orthostatic lability in response to vigorous activity, cardiovagal dysfunction, and thromboembolic disease.LITERATURE REVIEW: Cardiovascular screening guideline recommendations post-infection recovery are suggested based on profile stratification: airperson flight class, tactical military, and aerobatic pilots. This provides an approach to inform aeromedical decision making.CONCLUSION: Aviation medical examiners should remain cognizant of the clinically apparent and occult manifestations of cardiovascular dysfunction associated with COVID-19 infection when applying return-to-work screening guidelines. This will ensure high flight safety standards are maintained and sudden incapacitation risk mitigated during and following the ongoing pandemic.Elkhatib W, Herrigel D, Harrison M, Flipse T, Speicher L. Cardiovascular concerns from COVID-19 in pilots. Aerosp Med Hum Perform. 2022; 93(12):855-865.

TMPRSS2 gene polymorphism common in East Asians confers decreased COVID-19 susceptibility

COVID-19 has a wide range of clinical presentations, and the susceptibility to SARS-CoV-2 infection and the mortality rate also vary by region and ethnicity. Here, we found that rs12329760 in the TMPRSS2 gene, a missense variant common in East Asian populations, contributes to protection against SARS-CoV-2 infection. TMPRSS2 is a protease responsible for SARS-CoV-2 entry and syncytium formation. rs12329760 (c.478G>A, p. V160M) was associated with a reduced risk of moderate symptoms. The enzymatic activity of Met160-TMPRSS2 was lower than that of Val160-TMPRSS2, and thus the viral entry and the syncytium formation of SARS-CoV-2 were impaired. Collectively, these results indicate that the genetic variation in TMPRSS2, which is common in East Asians, is one of the molecular determinants of COVID-19 susceptibility.

COVID-19 Case Management Outcomes Amongst Diabetes and Hypertensive Patients in the United Arab Emirates: A Prospective Study

The global pandemic of the novel Coronavirus infection 2019 (COVID-19) challenged the care of comorbid patients. The risk imposed by COVID-19 on diabetes patients is multisystemic, exponential, and involves glucose dysregulation. The increased burden for diabetes patients infected with COVID-19 is substantial in countries with a high prevalence of diabetics, such as the United Arab Emirates (UAE). This study aims to explore the prevalence of diabetes, clinical characteristic, and outcomes of patients admitted for COVID-19 treatment with or without a concurrent preadmission diagnosis of diabetes. A prospective study was performed on 1199 adults admitted with confirmed COVID-19 from December 2020 to April 2021 to a single hospital in the UAE. The study compared the demographics, clinical characteristics, and outcomes in COVID-19-infected patients with diabetes to patients without diabetes. The study endpoints include the development of new-onset diabetes, admission to ICU, trends in the blood glucose levels, and death. A total of 1199 patients (390 with diabetes) were included in the study. A diabetes prevalence was detected among 9.8% of the study population. Among the diabetes group, 10.8% were morbidly obese, 65.4% had associated hypertension, and 18.9% had coronary artery disease. Diabetes patients showed higher rates of ICU admission (11.1% vs. 7.1%), NIV requirement (9.6% vs. 6.4%), and intubation (5.45% vs. 2%) compared to the non-diabetes group. Advanced age was a predictor of a worsening COVID-19 course, while diabetes (p < 0.050) and hypertension (p < 0.025) were significant predictors of death from COVID-19. Nearly three-fourths (284 (73.4%)) of the diabetic patients developed worsened hyperglycemia as compared to one-fifth (171 (20.9%)) of the nondiabetic patients. New-onset diabetes was detected in 9.8% of COVID-19 patients. COVID-19 severity is higher in the presence of diabetes and is associated with worsening hyperglycemia and poor clinical outcomes. Preexisting hypertension is a predictor of COVID-19 severity and death.

Health Services Utilization in China during the COVID-19 Pandemic: Results from a Large-Scale Online Survey

Timely access to essential health services is a concern as COVID-19 continues. This study aimed to investigate health services utilization during the first wave of the pandemic in China. A cross-sectional online survey was conducted using a self-administrated questionnaire in March 2020. Descriptive statistics and logistic regression were used for data analysis. A total of 4744 respondents were included, with 52.00% reporting affected services utilization. Clinical testing (68.14%) and drug purchase (49.61%) were the most affected types. Higher education level, being married, chronic disease, frequently visiting a provincial medical institution, spending more time on pandemic-related information, perception of high-risk of infection, perception of large health impact of the pandemic, and anxiety/depression were significant predictors for reporting affected services utilization. For the 431 chronic disease respondents, 62.18% reported interruption, especially for drug purchase (58.58%). Affected health services utilization was reported during the first wave of the pandemic in China, especially for those with higher education level, chronic diseases, and COVID-19 related concerns. Enhancing primary healthcare, use of telehealth, extended prescription, and public communication were countermeasures undertaken by China during the rapid rise period. As COVID-19 progresses, the changing disease characteristics, adapted health system, along with enhanced public awareness/knowledge should be considered for the evolution of health services utilization, and further investigation is needed.

Alterations of the fecal microbiota in relation to acute COVID-19 infection and recovery

People with acute COVID-19 due to SARS-CoV-2 infection experience a range of symptoms, but major factors contributing to severe clinical outcomes remain to be understood. Emerging evidence suggests associations between the gut microbiome and the severity and progression of COVID-19. To better understand the host-microbiota interactions in acute COVID-19, we characterized the intestinal microbiome of patients with active SARS-CoV-2 infection in comparison to recovered patients and uninfected healthy controls. We performed 16S rRNA sequencing of stool samples collected between May 2020 and January 2021 from 20 COVID-19-positive patients, 20 COVID-19-recovered subjects and 20 healthy controls. COVID-19-positive patients had altered microbiome community characteristics compared to the recovered and control subjects, as assessed by both α- and β-diversity differences. In COVID-19-positive patients, we observed depletion of Bacteroidaceae, Ruminococcaceae, and Lachnospiraceae, as well as decreased relative abundances of the genera Faecalibacterium, Adlercreutzia, and the Eubacterium brachy group. The enrichment of Prevotellaceae with COVID-19 infection continued after viral clearance; antibiotic use induced further gut microbiota perturbations in COVID-19-positive patients. In conclusion, we present evidence that acute COVID-19 induces gut microbiota dysbiosis with depletion of particular populations of commensal bacteria, a phenomenon heightened by antibiotic exposure, but the general effects do not persist post-recovery.

Drug-induced liver injury in COVID-19 treatment: Incidence, mechanisms and clinical management

The COVID-19 outbreak triggered a serious and potentially lethal pandemic, resulting in massive health and economic losses worldwide. The most common clinical manifestations of COVID-19 patients are pneumonia and acute respiratory distress syndrome, with a variety of complications. Multiple organ failure and damage, ultimately leading to patient death, are possible as a result of medication combinations, and this is exemplified by DILI. We hope to summarize DILI caused by the antiviral drugs favipiravir, remdesivir, lopinavir/ritonavir, and hydroxychloroquine in COVID-19 patients in this review. The incidence of liver injury in the treatment of COVID-19 patients was searched on PubMed to investigate DILI cases. The cumulative prevalence of acute liver injury was 23.7% (16.1%-33.1%). We discuss the frequency of these events, potential mechanisms, and new insights into surveillance strategies. Furthermore, we also describe medication recommendations aimed at preserving DILI caused by treatment in COVID-19 patients.

A year of experience with COVID-19 in patients with cancer: A nationwide study

BACKGROUND

Cancer is a major public health problem and comorbidity associated with COVID-19 infection. According to previous studies, a higher mortality rate of COVID-19 in cancer patients has been reported.

AIMS

This study was undertaken to determine associated risk factors and epidemiological characteristics of hospitalized COVID-19 patients with cancer using a nationwide COVID-19 hospital data registry in Iran for the first time.

METHODS

In this retrospective study, we used a national data registry of hospitalized patients with Severe Acute Respiratory Syndrome (SARS) symptoms and patients with confirmed positive COVID-19 PCR between 18 February 2020 and 18 November 2020. The patients were classified into two groups patients with/without malignancy. Logistic regression model was utilized to analyze demographic factors, clinical features, comorbidities, and their associations with the disease outcomes.

RESULTS

In this study, 11 068 and 645 186 in-patients with SARS symptoms with and without malignancy were included, respectively. About 1.11% of our RT-PCR-positive patients had cancer. In patients with malignancy and COVID-19, older ages than 60 (OR: 1.88, 95% CI: 1.29-2.74, p-value: .001), male gender (OR: 1.43, 95% CI: 1.16-1.77, p-value: .001), concomitant chronic pulmonary diseases (CPD) (OR: 1.75, 95% CI: 1.14-2.68, p-value: .009), and presence of dyspnea (OR; 2.00, 95% CI: 1.60-2.48, p-value: <.001) were associated with increased mortality rate.

CONCLUSION

Given the immunocompromised state of patients with malignancy and their vulnerability to Covid-19 complications, collecting data on the comorbidities and their effects on the disease outcome can build on a better clinical view and help clinicians make decisions to manage these cases better; for example, determining special clinical care, especially in the shortage of health services.

Ginseng as a Key Immune Response Modulator in Chinese Medicine: From Antipandemic History to COVID-19 Management

The cytokine storm plays an indispensable role in the severe and critical illness and death of the COVID-19 vulnerable population. Thus, suppressing the cytokine storm is of great significance. Ginseng is a traditional Chinese herb originally used for improving physiological conditions and ameliorating disease. Common throughout the history of ancient Chinese medicine is utilizing ginseng as a major ingredient to successfully fight various pandemics, and the most famous decoction is Renshen Baidu powder. In recent years, ginseng has been observed to provide preventive and therapeutic benefits in the treatment of various conditions by suppressing hyper-inflammation, inhibiting virus intrusion, and balancing the host's immunity. This paper summarizes the ancient Chinese medicine books' recordings of, the clinical practice of, and the laboratory exploration of ginseng for the treatment of pandemics and COVID-19. Ginseng and its active ingredients were found to downregulate inflammatory cytokines, upregulate anti-inflammatory cytokines, stimulate the secretion of the antiviral cytokine IFN-[Formula: see text], prevent viral entry and replication, and improve viral clearance. Furthermore, ginseng modulates both natural and acquired immunity during viral infection. Collectively, we propose that ginseng can act as a key immune response modulator against the cytokine storm of COVID-19. This paper may provide a new approach to discover specific medications using ginseng to combat COVID-19.

COVID-19: Relative Risk of Non-Vaccinated to Vaccinated Individuals

Following the outbreak of the COVID-19 pandemic, Italy has implemented an extensive vaccination campaign involving individuals above the age of 12, both sexes. The public opinion and the medical community alike questioned the usefulness and efficacy of the vaccines against SARS-CoV-2. The widespread opinion was that the vaccines protected individuals especially against serious conditions which could require intensive care and may lead to the death of the patient rather than against the possibility of infection. In order to quantify the effect of the vaccination campaign, we calculated the relative risks of non-vaccinated and vaccinated individuals for all possible outcomes of the disease: infection, hospitalization, admission to intensive care and death. Relative risk was assessed by means of likelihood ratios, the ratios of the probability of an outcome in non-vaccinated individuals to the probability of the same outcome in vaccinated individuals. Results support the hypothesis that vaccination has an extensive protective effect against both critical conditions and death. Nonetheless, the relative magnitude of the protection in vaccinated individuals compared to those non-vaccinated appears to be higher against the former outcome than the latter, for reasons which need to be investigated further.

Platelets' morphology, metabolic profile, exocytosis, and heterotypic aggregation with leukocytes in relation to severity and mortality of COVID-19-patients

Roles of platelets during infections surpass the classical thrombus function and are now known to modulate innate immune cells. Leukocyte-platelet aggregations and activation-induced secretome are among factors recently gaining interest but little is known about their interplay with severity and mortality during the course of SARS-Cov-2 infection. The aim of the present work is to follow platelets' bioenergetics, redox balance, and calcium homeostasis as regulators of leukocyte-platelet interactions in a cohort of COVID-19 patients with variable clinical severity and mortality outcomes. We investigated COVID-19 infection-related changes in platelet counts, activation, morphology (by flow cytometry and electron microscopy), bioenergetics (by Seahorse analyzer), mitochondria function (by high resolution respirometry), intracellular calcium (by flow cytometry), reactive oxygen species (ROS, by flow cytometry), and leukocyte-platelet aggregates (by flow cytometry) in non-intensive care unit (ICU) hospitalized COVID-19 patients (Non-ICU, n=15), ICU-survivors of severe COVID-19 (ICU-S, n=35), non-survivors of severe COVID-19 (ICU-NS, n=60) relative to control subjects (n=31). Additionally, molecular studies were carried out to follow gene and protein expressions of mitochondrial electron transport chain complexes (ETC) in representative samples of isolated platelets from the studied groups. Our results revealed that COVID-19 infection leads to global metabolic depression especially in severe patients despite the lack of significant impacts on levels of mitochondrial ETC genes and proteins. We also report that severe patients' platelets exhibit hyperpolarized mitochondria and significantly lowered intracellular calcium, concomitantly with increased aggregations with neutrophil. These changes were associated with increased populations of giant platelets and morphological transformations usually correlated with platelets activation and inflammatory signatures, but with impaired exocytosis. Our data suggest that hyperactive platelets with impaired exocytosis may be integral parts in the pathophysiology dictating severity and mortality in COVID-19 patients.

The impact of the COVID-19 pandemic on mortality in people with dementia without COVID-19: a systematic review and meta-analysis

INTRODUCTION

Significant mortality amongst vulnerable populations, such as people living with dementia, might go undetected during pandemic conditions due to refocus of care efforts. There is an urgent need to fully evaluate the pandemic impact on mortality amongst people living with dementia in order to facilitate future healthcare reforms and prevent deaths. The purpose of this study was to determine whether there was any significant difference in mortality amongst people with dementia without COVID-19 during the COVID-19 pandemic compared to previous years.

METHODS

A literature search was conducted in 5 databases. The relative risk ratio and confidence interval was used to estimate the change in mortality rates amongst people with dementia during the COVID-19 pandemic. The I2 value was used to assess heterogeneity, publication bias, and sensitivity analyses were performed.

RESULTS

Pooled analysis of 11 studies showed that mortality amongst people living with dementia was significantly increased during the COVID-19 pandemic for people with dementia without COVID-19. Mortality risk increased by 25% during the time period studied. Subgroup analysis was not performed due the low number of included studies.

CONCLUSIONS

The results of this study suggest that people with dementia had a significant increased mortality during the pandemic even if they did not have COVID-19. People with dementia should participate in efforts that reduce general social spread and pandemic impact on healthcare system such as vaccinations, mask mandates, and testing. These results have clinical implications as preventing direct COVID-19 infection is not enough to adequately protect people living with dementia from increased mortality. Measures to limit social spread of infections and help support patients should also be a focus for clinicians. Further research should focus on the identification of mechanisms and other explanations for increased mortality as well as contributing factors such as living in care homes and differences between countries with various pandemic strategies.

When the clock ticks wrong with COVID-19

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a member of the coronavirus family that causes the novel coronavirus disease first diagnosed in 2019 (COVID-19). Although many studies have been carried out in recent months to determine why the disease clinical presentations and outcomes can vary significantly from asymptomatic to severe or lethal, the underlying mechanisms are not fully understood. It is likely that unique individual characteristics can strongly influence the broad disease variability; thus, tailored diagnostic and therapeutic approaches are needed to improve clinical outcomes. The circadian clock is a critical regulatory mechanism orchestrating major physiological and pathological processes. It is generally accepted that more than half of the cell-specific genes in any given organ are under circadian control. Although it is known that a specific role of the circadian clock is to coordinate the immune system's steady-state function and response to infectious threats, the links between the circadian clock and SARS-CoV-2 infection are only now emerging. How inter-individual variability of the circadian profile and its dysregulation may play a role in the differences noted in the COVID-19-related disease presentations, and outcome remains largely underinvestigated. This review summarizes the current evidence on the potential links between circadian clock dysregulation and SARS-CoV-2 infection susceptibility, disease presentation and progression, and clinical outcomes. Further research in this area may contribute towards novel circadian-centred prognostic, diagnostic and therapeutic approaches for COVID-19 in the era of precision health.

Sex-differences in COVID-19 diagnosis, risk factors and disease comorbidities: A large US-based cohort study

Introduction

Morbidity and mortality from COVID-19 are higher among men, however, underlying pathways remain controversial. We aim to investigate sex-gender differences in COVID-19 in a large US-based cohort, namely COVID-19 Research Database. More specifically, the objectives are to explore the socio-economic characteristics of COVID-19 male and female patients and to examine potential sex differences in lifestyle factors and disease comorbidities among diagnosed patients.

Methods

This is a retrospective cohort study contrasting male vs. female patients with test-confirmed COVID-19. The study used Healthjump electronic medical records (e.g., demographics, encounters, medical history, and vitals) extracted from January 2020 to December 2021 (N = 62,310).

Results

Significant sociodemographic and comorbidity differences were observed between males and females (p < 0.05). For example, a significantly higher proportion of males (vs. females) were aged ≥70-year-old (17.04 vs. 15.01%) and smokers (11.04 vs. 9.24%, p < 0.0001). In addition, multiple logistic regression showed that hypertension and diabetes were significantly more frequent in males [adjusted odds ratio (ORa) = 66.19 and ORa = 22.90].

Conclusions

Understanding the differences in outcomes between male and female patients will inform gender equity responsive approach to COVID-19 and enhance the effectiveness of clinical practice, health policy and interventions.

Prevalence of hypertension and associated risks in hospitalized patients with COVID-19: a meta-analysis of meta-analyses with 1468 studies and 1,281,510 patients

BACKGROUND

Since the COVID-19 outbreak, preliminary research has shown that some risk-associated conditions increase death and severe complications of the disease, hypertension being one of them. Thus, numerous meta-analyses have been conducted to explore this issue. Therefore, this umbrella review aims to perform a meta-analysis of the meta-analyses to estimate the prevalence and associated risks of hypertension in patients with COVID-19.

METHODS

PubMed, Scopus, Web of Knowledge, Embase, and Cochrane databases were searched for the published meta-analyses up to January 1, 2022. Google Scholar, citation check, reference check, and Grey literature were also manually searched. A random-effect model approach was used for analysis.

RESULTS

The overall death rate was estimated at 12%. Hypertension was present in 25% of the patients as a comorbid disease. The overall RR for death, disease severity, and the possibility of ICU admission were estimated at 1.79 [1.68-1.89 with 95% CI], 1.74 [1.66-1.83 with 95% CI], and 1.91 [1.48-2.34 with 95% CI], respectively. The meta-regression results showed that being "male" significantly increases the risk of disease severity and ICU admission.

CONCLUSIONS

The results indicated that hypertension is a common comorbid disease in hospitalized patients with COVID-19, which significantly increases mortality risk, the severity of the disease, and the probability of ICU admission.

SYSTEMATIC REVIEW REGISTRATION

This study has been registered in PROSPERO (CRD42021231844).

M. K, Sahib Khalil N. Assessing the potential correlation of polymorphisms in the TMPRSS2 gene with severity of COVID 19 patients

Introduction and Aim: Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Once infected this virus induces several clinical disorders in humans. SARSCoV-2 enters cells via TMPRSS2. Genetic variation in TMPRSS2 could affect the severity of infection. The purpose of this study was to investigate how the (TMPRSS2) gene polymorphism affected COVID-19 severity in patients as well as the effect of age and comorbidities on infection.   Materials and Methods: This cross-sectional analytical study comprised of 400 (185 male, 215 female) Covid-19-infected patients between ages 18-65 receiving treatment in hospitals at Baghdad, Iraq. The patients were divided into three groups: mild, moderate, and severe based on the severity of Covid-19 infection. Baseline data was collected for each patient through interview and questionnaire. Blood collected from patients was subjected to DNA extraction and detecting polymorphisms within SNPs of the TMPRSS2 gene.   Results: The present investigation indicated higher age to be significantly associated with severe COVID-19 infection when compared to moderate and mild infection (36.14 ± 12.716 vs. 48.52 ± 17.513 vs. 59.26 ± 16.035) (F= 3.697, df: 64, P= 0.000). Patients with comorbidities was associated with a greater rate of severe Covid-19 infection (74.2% vs. 25.8%). However, individuals without comorbidities had a considerably lower rate of mild and moderate Covid-19 infection (13.9% vs. 86.1%) and (36% vs. 64%), respectively (x^2: 97.930, df: 2, P = 0.000). SNPs; (rs383510, rs12329760) within the transmembrane TMPRSS2–7113 was studied and we found no  significant (P> 0.05) association for these SNPs to severity of Covid-19 infection.   Conclusion: The results show that the allelic variation within the TMPRSS2 (SNP rs2070788) gene to be linked to increasing illness severity in COVID-19 patients.

Impact of the COVID-19 pandemic and associated lockdown measures on the management, health, and behavior of the cystic fibrosis population in France during 2020 (MUCONFIN)

Background

Most of the studies on cystic fibrosis (CF) focused on SARS-CoV-2 prevalence and suggested a low incidence of infection in this population. We aimed to assess the impact of the pandemic and related lockdown measures implemented in May 2020 in response to the first wave of SARS-CoV-2 infection on healthcare access, health, and behavior in CF patients.

Methods

A national questionnaire opened online from May 15th, 2020 to June 11^th, 2020 was completed by 751 CF-patients, aged 14 years and over. It comprised questions about access to healthcare, anxiety and depression, smoking, alcohol, drug and psychotropic drug consumption, adherence to CF treatment, and constraints. A semi-structured comprehensive interview was performed no later than 1 month after the end of the lockdown in 16 CF-patients.

Results

The mean age of the population was 28.0 [interquartile range (IQR) 20.0-37.0] years old. More than 75% of in-person consultations scheduled during the lockdown were canceled. Alternatively, 27% were postponed, and telehealth consultations were proposed and accepted in almost 40% of cases. More than 75% of the scheduled physiotherapy sessions were canceled and replaced mainly by self-drainage. Annual follow-up clinic visits were consistently postponed whereas required hospitalizations at CF centers for exacerbation were maintained in most cases. While 43.2% CF-patients had signs of anxiety, 51.0% presented symptoms of depression, both associated with increased use of psychotic medications and inversely correlated to COVID-19 prevalence. Among the lower and lower middle classes, very little medical information was obtained or requested by the patient, participation to sports or other activities was low, while excessive home confinement and isolation were more frequent. In contrast, in the upper middle and upper classes, individuals solicitated help to their CF centre, had more physical activities, and maintained contact with friends or families.

Conclusion

The first lockdown in France had only minimal impact on the management care of CF-patients but was associated with increased symptoms of anxiety and depression, together with behavioral changes that varied with social class.

Trial registration

NCT04463628.

Association of COVID-19 patient’s condition with fasting blood glucose and body mass index: A retrospective study

BACKGROUND: The COVID-19 pandemic broke out in 2019 and rapidly spread across the globe. Most of the severe and dead cases are middle-aged and elderly patients with chronic systemic diseases. OBJECTIVE: This study aimed to assess the association between fasting blood glucose (FPG) and body mass index (BMI) levels in patients with coronavirus disease 2019 (COVID-19) under different conditions. METHODS: Experimental-related information (age, gender, BMI, and FPG on the second day of admission) from 86 COVID-19 cases (47 males and 39 females) with an average age of (39 ± 17) years was collected in April and November 2020. These cases were divided into three groups according to the most severe classification of each case determined by the clinical early warning indicators of severe-critically illness, the degree of progression, and the treatment plan shown in the diagnosis and treatment plan of COVID-19 pneumonia. Statistical models were used to analyze the differences in the levels of FPG and BMI, age, and gender among the three groups. RESULTS: 1. Experimental group: 21 patients with asymptomatic or and mild symptoms (group A), 45 patients with common non-progression (group B), and 20 patients with common progression and severe symptoms (group C). 2. The age differences among the three groups were statistically significant and elderly patients had a higher risk of severe disease (t= 4.1404, 3.3933, 9.2123, P= 0.0001, 0.0012, 0.0000). There was a higher proportion of females than males in the normal progression and severe disease cases (χ2= 5.512, P= 0.019). 3. The level of FPG was significantly higher in group C than in group A (t= 3.1655, P= 0.0030) and B (t= 2.0212, P= 0.0475). The number of diabetes or IFG in group C was significantly higher than in group A (χ2= 5.979, P= 0.014) and group B (χ2= 6.088, P= 0.014). 4. BMI was significantly higher in group C than in groups A (t= 3.8839, P= 0.0004) and B (t= 3.8188, P= 0.0003). The number of overweight or obese patients in group C was significantly higher than in groups A (χ2= 8.838, P= 0.003) and B (χ2= 10.794, P= 0.001). 5. Patients’ age, gender, and FPG were independent risk factors for COVID-19 disease progression (β= 0.380, 0.191, 0.186; P= 0.000, 0.034, 0.045). CONCLUSION: The levels of FPG and BMI were significantly increased in the population with common progressive and severe COVID-19. FPG and age are independent risk factors for the progression of COVID-19.

SARS due to COVID-19: Predictors of death and profile of adult patients in the state of Rio de Janeiro, 2020

Introduction

We aimed to describe the profile of adult patients and analyze the predictors of death from severe acute respiratory syndrome (SARS) due to coronavirus disease 2019 (COVID-19) in the state of Rio de Janeiro. Knowledge of the predictors of death by COVID-19 in Rio de Janeiro, a state with one of the highest mortality rates in Brazil, is essential to improve health care for these patients.

Methods

Data from the Information System for Epidemiological Surveillance of Influenza and the Mortality Information System were used. A binary logistic regression model evaluated the outcome of death, sociodemographic data, and clinical-epidemiological and health care covariates. Univariate, bivariate, and multivariate statistics were performed with the R program, version 4.0.0.

Results

Overall, 51,383 cases of SARS due to COVID-19 among adults were reported in the state between March 5 and December 2, 2020. Mortality was high (40.5%). The adjusted final model presented the following predictors of death in SARS patients due to COVID-19: male sex (odds ratio [OR] = 1.10, 95% confidence interval [CI], 1.04–1.17); age (OR = 5.35, 95%CI, 4.88–5.88; ≥75 years); oxygen saturation <95% (OR = 1.48, 95%CI, 1.37–1.59), respiratory distress (OR = 1.31, 95%CI, 1.21–1.41) and dyspnoea (OR = 1.25, 95%CI, 1.15–1.36), the presence of at least one risk factor/comorbidity (OR = 1.32, 95%CI, 1.23–1.42), chronic kidney disease (OR = 1.94, 95%CI, 1.69–2.23), immunosuppression (OR = 1.51, 95%CI, 1.26–1.81) or chronic neurological disease (OR = 1.36, 95%CI, 1.18–1.58), and ventilatory support, invasive (OR = 8.89, 95%CI, 8.08–9.79) or non-invasive (OR = 1.25, 95%CI, 1.15–1.35).

Conclusions

Factors associated with death were male sex, old age, oxygen saturation <95%, respiratory distress, dyspnoea, chronic kidney and neurological diseases, immunosuppression, and use of invasive or noninvasive ventilatory support. Identifying factors associated with disease progression can help the clinical management of patients with COVID-19 and improve outcomes.

SARS-CoV-2-specific humoral and cellular immune responses to BNT162b2 vaccine in Fibrodysplasia ossificans progressiva patients

Introduction

Fibrodysplasia ossificans progressiva (FOP) is characterized by progressive heterotopic ossification triggered by various conditions, such as trauma, infection, including COVID-19 infection, and vaccination. Although SARS-CoV-2 vaccinations prevent poor outcomes in the general population, there is limited evidence on safety, immunogenicity, and efficacy of SARS-CoV-2 vaccines for inpatients with FOP.

Methods

A case series of two patients with FOP focused on humoral, cellular post-vaccination response, and the incidence of adverse events after administration of the BNT162b2 vaccine (Comirnaty).

Results

Injection site reactions, fever, myalgia, and fatigue were the most common adverse events (AE). Neither severe AE (SAE), nor disease flare-ups were observed. No differences between patients with FOP and healthy controls were observed in humoral and cellular responses.

Conclusions

The BNT162b2 vaccine induced high humoral and cellular response levels in patients with FOP. Vaccination was not associated with SAE or disease relapse. The AEs spectrum was comparable to that of the general population.

Comorbidities, sociodemographic factors, and determinants of health on COVID-19 fatalities in the United States

Previous studies have evaluated comorbidities and sociodemographic factors individually or by type but not comprehensively. This study aims to analyze the influence of a wide variety of factors in a single study to better understand the big picture of their effects on case-fatalities. This cross-sectional study used county-level comorbidities, social determinants of health such as income and race, measures of preventive healthcare, age, education level, average household size, population density, and political voting patterns were all evaluated on a national and regional basis. Analysis was performed through Generalized Additive Models and adjusted by the COVID-19 Community Vulnerability Index (CCVI). Effect estimates of COVID-19 fatality rates for risk factors such as comorbidities, sociodemographic factors and determinant of health. Factors associated with reducing COVID-19 fatality rates were mostly sociodemographic factors such as age, education and income, and preventive health measures. Obesity, minimal leisurely activity, binge drinking, and higher rates of individuals taking high blood pressure medication were associated with increased case fatality rate in a county. Political leaning influenced case case-fatality rates. Regional trends showed contrasting effects where larger household size was protective in the Midwest, yet harmful in Northeast. Notably, higher rates of respiratory comorbidities such as asthma and chronic obstructive pulmonary disease (COPD) diagnosis were associated with reduced case-fatality rates in the Northeast. Increased rates of chronic kidney disease (CKD) within counties were often the strongest predictor of increased case-fatality rates for several regions. Our findings highlight the importance of considering the full context when evaluating contributing factors to case-fatality rates. The spectrum of factors identified in this study must be analyzed in the context of one another and not in isolation.

Clinical characteristics of COVID-19 in patients with tuberculosis and factors associated with the disease severity

BACKGROUND

Data on patients with COVID-19 who have pulmonary tuberculosis (TB) are limited. In this study, we compared the clinical characteristics of patients with COVID-19/TB and patients with COVID-19 only. In addition, we analyzed the links between the severity of COVID-19 disease and the clinical characteristics of patients with COVID-19/TB.

METHODS

We conducted a retrospective, anonymized, cross-sectional study of 111 patients who met inclusion criteria for analysis (75 patients with COVID-19/TB and 36 patients with COVID-19).

RESULTS

Patients in both groups (COVID-19/TB vs COVID-19) mainly suffered from fever (72.0% vs 100%, p < 0.001), fatigue (76.0% vs 94.4%, p  =  0.018), chest pain (72.0% vs 36.1%, p < 0.001), followed by cough (60.0% vs 97.2%, p < 0.001) and dyspnea (44.0% vs 63.9%, p  =  0.05). In group COVID-19/TB the most frequently reported co-morbidities were chronic liver disease (17 [22.7%]), cardiovascular diseases (25 [33.3%]), and diseases of the nervous system (13 [17.3%]). Female gender, fever, dyspnea, pulmonary bilateral TB lesion, and three or more co-morbidities have a statistically significant positive effect on the severity of the disease among patients with COVID-19/TB.

CONCLUSION

It is important to perform rapid molecular testing and computed tomography to correctly distinguish COVID-19 and TB because of the similar clinical characteristics of both diseases. Bilateral pulmonary TB lesion and co-morbidity should be considered risk factors for severe COVID-19.

Satisfaction with modes of telemedicine delivery during COVID-19: A randomized, single-blind, parallel group, noninferiority trial

BACKGROUND

Little is known about satisfaction with different modes of telemedicine delivery. The objective of this study was to determine whether patient satisfaction with phone-only was noninferior to video visits.

METHODS

We conducted a parallel group, randomized (1:1), single-blind, noninferiority trial in multispecialty clinics at a tertiary academic medical center. Adults age ≥ 60 years or with Medicare/Medicaid insurance were eligible. Primary outcome was visit satisfaction rate (9 or 10 on a 0-10 satisfaction scale). Noninferiority was determined if satisfaction with phone-only (intervention) versus video visits (comparator) was no worse by a -15% prespecified noninferiority margin. We performed modified intent-to-treat (mITT) and per protocol analyses, after adjusting for age and insurance.

RESULTS

200 participants, 43% Black, 68% women completed surveys. Visit satisfaction rates were high. In the mITT analysis, phone-only visits were noninferior by an adjusted difference of 3.2% (95% CI, -7.6% to 14%). In the per protocol analysis, phone-only were noninferior by an adjusted difference of -4.1% (95% CI, -14.8% to 6.6%). The proportion of participants who indicated they preferred the same type of telemedicine visit as their next clinic visit were similar (30.2% vs 27.9% video vs phone-only, p = 0.78) and a majority said their medical concerns were addressed and would recommend a telemedicine visit.

CONCLUSIONS

Among a group of diverse, established older or underserved patients, the satisfaction rate for phone-only was noninferior to video visits. These findings could impact practice and policies governing telemedicine.

Evaluation of clinical and laboratory characteristics and factors affecting mortality in 500 hospitalized COVID-19 patients: A retrospective study

OBJECTIVES

To evaluate the clinical and laboratory characteristics of COVID-19 patients admitted to Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey, and to determine the factors affecting mortality.

METHODS

A total of 500 patients who were diagnosed with COVID-19 between 19th of March and 30th of September 2020 in Afyonkarahisar Health Sciences University, Faculty of Medicine, Pandemic Service, Afyonkarahisar, Turkey, were retrospectively investigated for this study. These individuals' prognoses, demographic, clinical, laboratory, and radiological information were examined and recorded retrospectively. Comparisons were carried out between the characteristics of patients with a prognosis of death and those who recovered.

RESULTS

Of the 500 definite COVID-19 cases included in the study, 53.8% were male and the mean age was 57.6±15.1 (18-88 years). The most common comorbidities were hypertension and diabetes mellitus. A total of 45 (9%) patients developed mortality. Factors such as advanced age, male gender, shortness of breath, fever at admission, comorbid conditions such as hypertension, diabetes mellitus, cardiovascular diseases, lymphopenia, high C-reactive protein, high D-dimer, and high ferritin in the laboratory were found to be important risk factors for mortality. Treatments such as hydroxychloroquine, favipiravir, and lopinavir/ritonavir were not found to have lower mortality rates than one another.

CONCLUSION

Considering these elements when assessing patients and adjusting the course of treatment according to the recommendations of the most recent guidelines may lower mortality.

EFFECTS OF HYDROXYCHLOROQUINE PLUS FAVIPIRAVIR TREATMENT ON THE CLINICAL COURSE AND BIOMARKERS IN HOSPITALIZED COVID-19 PATIENTS WITH PNEUMONIA

Background

The novel coronavirus disease 2019 (COVID-19) has a broad spectrum of clinical manifestations, the most common serious clinical manifestation of the coronavirus infection being pneumonia. Unfortunately, the optimal treatment approach is still uncertain. However, many studies have been conducted on the effectiveness of several medications in the treatment of COVID-19 infection. The aim of this study was to evaluate the effectiveness of the hydroxychloroquine (HCQ) + favipiravir (FAV) treatment regimen and HCQ alone by comparing the patient's clinical response and laboratory results on the fifth day of treatment in patients hospitalized due to COVID-19 infection.

Patients and methods

This retrospective cohort study was conducted in Malatya Training and Research Hospital between March 2020 and July 2020. The study included 69 patients with confirmed COVID-19 with pneumonia. The patients were divided into 2 groups, those receiving HCQ alone and those receiving the HCQ + FAV combination.

Results

A total of 69 patients were included in the study, and the mean age was 60.09±15.56 years. A statistically significant decrease was observed in C-reactive protein (CRP) levels, at the end of the fifth day, in patients who received HCQ + FAV treatment (p=0.002), whereas there was no decrease in CRP levels in patients who received HCQ treatment alone. In addition, an increase in lymphocyte count and a better fever response was observed at the end of the fifth day in patients who received HCQ + FAV (p=0.008). However, there was no statistical difference between both treatment regimens in terms of hospital stay and treatment results (p=0.008, p=0.744, p=0.517).

Conclusion

Although the combination of HCQ + FAV treatment was observed to be effective on CRP levels and fever response in patients with COVID-19 pneumonia, there was no difference in terms of hospital stay and discharge.

The characteristics and outcomes of COVID-19 among diabetic patients in Wad-Medani isolation center from September to December 2020: A cross-sectional study

Background and Aims

Corona virus disease-19 (COVID-19) is a recently discovered infection that transmitted briskly worldwide. In this disease (COVID-19), it was discovered that several disorders, such diabetes, increased the severity and fatality rate. Until now, studies investigating the correlation between diabetes and COVID-19 in Sudan have not yet been conducted. Thus we aimed to evaluated the characteristics and outcomes of COVID-19 among diabetic patients.

Methods

A prospective study included 70 diabetic patients with COVID-19 in Wad-Medani Isolation Center from September to December 2020. Data concerning demographics and clinical characteristics, as well as outcomes were collected.

Results

Out of 70 patients, 46 (66%) were men and 24 (34%) were women; the average age was 63 ± 12 years. In diabetes mellitus (DM) types, 69 (98.6%) patient were T2DM. The average of DM duration was 10 ± 6.2 years. Insulin was the major DM medication used by more one-half of study patients (n = 37; 52.9%). Newly discovered DM after COVD-19 infection was encountered in 5 (7.1%) patients. Most of the study subjects (n = 44; 63%) had moderately severe form of disease. Hypertension was the commonest comorbid in 29 (41.4%) patients. The intensive care unit admission rate among our study group was 10% (n = 7). The mortality rate among our study patients was found to be 11.4% (n = 8). Dead patients were significantly had high HbA1c levels (11.6 ± 7% vs. 8.8 ± 5%; p = 0.001). Additionally, all individuals with a severe COVID-19 illness (n = 6; 100%) were dead comparing to no patient died with mild covid illness and 4.5% patients with moderately severe infection (p < 0.001).

Conclusion

The majority of COVID-19 diabetic patients were males and older in age. Most of the patients presented with moderate severity and moderately uncontrolled DM. Hypertension was the major comorbidity. The mortality rate was as high as 11.4% and associated with high HbA1c levels and severe form of COVID-19 as well.

Correlation Between HbA1c Levels and Mortality Rates in Hospitalized COVID-19 Patients

Objective Throughout the coronavirus disease 2019 (COVID-19) pandemic, multiple factors have been associated with poor prognosis for those infected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Age, obesity, and medical comorbidities have been linked to poor outcomes, including admission to the intensive care unit (ICU), acute renal failure, stroke, myocardial infarction (MI), mechanical ventilation, and even death for hospitalized COVID-19 patients. Although diabetes mellitus (DM) has also been included in this set of medical comorbidities, there have been inconsistencies in the currently available body of literature, suggesting that mortality rates may or may not be correlated to elevated glycosylated hemoglobin (HbA1c) levels. This study aims to determine whether there is a correlation or trend between a range of HbA1c values and in-hospital mortality among patients admitted to the hospital with a COVID-19 diagnosis. Materials and methods This study was a retrospective review of electronic medical records at Arrowhead Regional Medical Center in Colton, CA. Any patient above the age of 18 admitted to the hospital during a predetermined time frame, with either a positive COVID-19 PCR test on admission or during their hospital stay, was included in the study. These medical charts were reviewed for HbA1c values during admission or within three months prior to admission. In-hospital mortality was then recorded for each medical record with an available HbA1c value. Hospital discharge summaries were used to delineate comorbidities, including chronic kidney disease, cerebrovascular disease, coronary artery disease, congestive heart failure, cancer history, or history of deep vein thrombosis/pulmonary embolism among the patients included in the study. Average HbA1c values were recorded for the mortality and non-mortality groups, and their statistical significance was calculated. Results In this retrospective study, HbA1c levels were compared to mortality rates among adult patients admitted to the hospital with a concurrent COVID-19 diagnosis. From the analysis conducted, those with higher HbA1c levels did not have an increased rate of in-hospital mortality, and those with lower HbA1c levels did not have a decreased rate of in-hospital mortality. Comorbidity data as a confounding factor was also reviewed and excluded from the final analysis. The SARS-CoV-2 vaccine was also excluded as a confounder in this study by selecting a specific time frame for data collection. Based on our results, we propose that HbA1c levels likely have little to minimal correlation with mortality rates among hospitalized COVID-19 patients. Conclusion In this study, we show that HbA1c levels, regardless of concurrent comorbidities, are unlikely to be correlated to mortality rates among hospitalized COVID-19 patients. HbA1c levels should not be used as a marker for whether these patients should be admitted to the hospital for further inpatient management or discharged from the emergency department.

Intranasal Corticosteroid Treatment on Recovery of Long-Term Olfactory Dysfunction Due to COVID-19

BACKGROUND AND AIMS

Olfactory dysfunction is a recognized manifestation in patients infected with Coronavirus Disease 2019 (COVID-19). This investigation aimed to assess the effect of mometasone furoate intranasal spray on the improvement of smell dysfunction in post-COVID-19 patients.

MATERIALS AND METHODS

This randomized placebo-controlled trial included 80 non-hospitalized adult patients who had persistent anosmia or severe microsmia for more than 4 weeks due to COVID-19 infection. The participants were randomly allocated to the intervention or placebo group to receive mometasone furoate nasal spray or sodium chloride intranasal spray during 4 weeks of follow-up, respectively. The patients' olfactory dysfunction was assessed in terms of visual analog scale (VAS), and smell test score according to the modified version of the University of Pennsylvania smell identification test for the Iranian population.

RESULTS

A total of 70 participants completed the follow-up period and were analyzed in this study. By comparing the olfactory scores including smell test and VAS scores, no significant differences were found between case and control groups at baseline, 2, and 4 weeks intervals. However, the change of both olfactory scores at pre to post-treatment intervals and 2-4 weeks was significantly higher in the mometasone group relative to the placebo group. At post-treatment, the frequency of anosmia was 22.9% reduced in the case group compared to the control group.

CONCLUSION

Overall, there was no significant difference in olfactory dysfunction between the two groups during follow-up. However, based on the significant between-group difference in terms of olfactory scores changes, it seems that the nasal corticosteroids may be a positive effect on the recovery process of patients who received more than 2 weeks.

LEVEL OF EVIDENCE

2 Laryngoscope, 132:2209-2216, 2022.

Biochemical, Hematological, and Immunological Biomarkers as Predictors for Intensive Care Unit Admission in Patients with COVID-19

OBJECTIVES

To identify the biochemical, hematological, and immune biomarkers in COVID-19 patients on admission that are predictive of eventual admission to the intensive care unit (ICU).

METHODS

This retrospective cohort study was conducted on all confirmed COVID-19 cases hospitalized at Royal Hospital, Oman from 24 February to 30 July 2020. The demographic, clinical, and laboratory data were collected from the hospital information system. Patients were divided into two groups: non-ICU admitted group and ICU admitted group.

RESULTS

Out of 445 patients, 276 (62.0%) were male and 169 (38.0%) were female; 259 (58.2%) patients were admitted to COVID-19 general wards whereas 186 (41.8%) were admitted to ICU. Admission to ICU was more likely when patient had the following comorbidities: diabetes (OR = 1.8; 95% CI: 1.3-2.7), liver diseases (OR = 2.1; 95% CI: 1.1-4.3), and respiratory diseases (OR = 2.0; 95% CI: 1.1-3.7). Between ICU and non-ICU patients, there were significant differences in on-admission laboratory blood/serum parameters: total white blood cells (WBCs) count, lymphocytes count, C-reactive protein (CRP), ferritin, corrected calcium, interleukin 6 (IL-6), D-dimer, alanine transaminase (ALT), lactate dehydrogenase (LDH), albumin, and troponin.

CONCLUSIONS

The current study identified the presence of the comorbidities (i.e., diabetes, liver diseases, and respiratory diseases) and on-admission laboratory blood and serum test results (i.e., WBC, lymphocytes, CRP, ferritin, corrected calcium, IL-6, D-dimer, ALT, LDH, albumin, and troponin) that are associated with ICU admission.

Risk of severe COVID-19 outcomes associated with rheumatoid arthritis and phenotypic subgroups: a retrospective, comparative, multicentre cohort study

Background

Rheumatoid arthritis has been associated with severe COVID-19, but few studies have investigated how phenotypes of rheumatoid arthritis affect these associations. We aimed to investigate the associations between rheumatoid arthritis and phenotypes of interstitial lung disease, serostatus, and bone erosions with COVID-19 severity.

Methods

We did a retrospective, comparative, multicentre cohort study at two large health-care systems (Mayo Clinic [19 hospitals and affiliated outpatient centres] and Mass General Brigham [14 hospitals and affiliated outpatient centres]) in the USA. Consecutive patients with rheumatoid arthritis meeting the 2010 American College of Rheumatology/European League Against Rheumatism classification criteria and who had COVID-19 between March 1, 2020, and June 6, 2021, were matched 1:5 on age, sex, and calendar date with patients without rheumatoid arthritis (comparators). Data were received from electronic health records from Mayo Clinic and Mass General Brigham. We examined subgroups of patients with rheumatoid arthritis by phenotypic features: rheumatoid arthritis-associated interstitial lung disease, seropositivity (for anti-cyclic citrullinated peptide, rheumatoid factor, or both), and bone erosions. Severe COVID-19 was a composite of hospitalisation or death. We used Cox regression to estimate hazard ratios (HR) for severe COVID-19, comparing rheumatoid arthritis and subgroups to the comparator group.

Findings

We identified 582 patients with rheumatoid arthritis and 2875 matched comparators, all of whom had COVID-19 within the study dates. The mean age of those with rheumatoid arthritis was 62 [SD 14] years, 421 (72%) of 582 were women and 161 (28%) were men, 457 (79%) were White, 65 (11%) were Hispanic or Latino, and 41 (7%) were Black. Among patients with rheumatoid arthritis, 50 (9%) of 582 had interstitial lung disease, 388 (68%) of 568 were seropositive, and 159 (27%) of 582 had bone erosions. Severe COVID-19 occurred in 126 (22%) of 582 patients with rheumatoid arthritis versus 363 (13%) 2875 in the comparator group. Patients with rheumatoid arthritis had an HR of 1·75 (95% CI 1·45-2·10) for severe COVID-19 versus the comparator group. Patients with rheumatoid arthritis-associated interstitial lung disease had an HR of 2·50 (1·66-3·77) versus the comparator group for severe COVID-19. The risk for severe COVID-19 was also higher in patients with rheumatoid arthritis who were seropositive (HR 1·97 [95% CI 1·58-2·46]) or had erosive disease (1·93 [1·41-2·63]) than for those in the comparator group.

Interpretation

Patients with rheumatoid arthritis have an increased risk of severe COVID-19 across phenotypic subgroups, especially among patients with interstitial lung disease. These findings suggest that rheumatoid arthritis with interstitial lung disease, or its treatment, might be a substantial contributor to severe COVID-19 outcomes for patients with rheumatoid arthritis.

Funding

None.