Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: A systematic review

An Increase in Aspartate Aminotransferase Can Predict Worsening Disease Severity in Japanese Patients with COVID-19

BACKGROUND

The prognostic significance of liver dysfunction in COVID-19 patients remains unclear. In this study, we investigated the association between liver function test results and severe disease progression in COVID-19 patients.

METHODS

This retrospective study included consecutive Japanese COVID-19 patients admitted between February 2020 and July 2021. Predictive variables for severe disease progression were identified by multivariate logistic regression analysis. Severe disease-free survival was estimated with the Kaplan-Meier method and Cox regression analysis. Aspartate aminotransferase (AST) was divided into three grades: grade 1, AST < 30 U/L; grade 2, 30 U/L ≤ AST < 60 U/L; and grade 3, AST > 60 U/L.

RESULTS

Among 604 symptomatic patients, 141 (23.3%) developed severe disease at a median of 2 days postadmission. The median hospital stay was 10 days, and 43 patients (7.1%) died during hospitalization. Multivariate regression analysis revealed that hypertension, decreased lymphocyte count, and elevated LDH, CRP, and AST levels (grade 2 and grade 3 relative to grade 1) were the significant predictive variables. Severe disease-free survival time was significantly different between the different AST grades (hazard ratio (HR): grade 2 vs. grade 1, 4.07 (95% confidential interval (CI): 2.06-8.03); grade 3 vs. grade 1, 7.66 (95% CI: 3.89-15.1)).

CONCLUSIONS

The AST level at admission was an independent risk factor for severe disease in hospitalized Japanese patients with COVID-19.

Addressing Post-Acute COVID-19 Syndrome in Cancer Patients, from Visceral Obesity and Myosteatosis to Systemic Inflammation: Implications in Cardio-Onco-Metabolism

Cardiovascular disease and cancer are the two leading causes of morbidity and mortality in the world. The emerging field of cardio-oncology described several shared risk factors that predispose patients to both cardiovascular disease and cancer. Post-acute COVID-19 syndrome is a chronic condition that occurs in many patients who have experienced a SARS-CoV-2 infection, mainly based on chronic fatigue, sedentary lifestyle, cramps, breathing difficulties, and reduced lung performance. Post-acute COVID-19 exposes patients to increased visceral adiposity, insulin resistance, myosteatosis, and white adipose tissue content (surrounded by M1 macrophages and characterized by a Th1/Th17 phenotype), which increases the risk of cardiovascular mortality and cancer recurrence. In this review, the main metabolic affections of post-acute COVID-19 syndrome in cancer patients at low and high risk of cardiomyopathies will be summarized. Furthermore, several non-pharmacological strategies aimed at reducing atherosclerotic and cardiac risk will be provided, especially through anti-inflammatory nutrition with a low insulin and glycemic index, appropriate physical activity, and immune-modulating bioactivities able to reduce visceral obesity and myosteatosis, improving insulin-related signaling and myocardial metabolism.

Comparative evaluation of RT-PCR and antigen-based rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 detection: performance, variant specificity, and clinical implications

The COVID-19 pandemic has highlighted the critical need for accurate and efficient diagnostic tools for detecting severe acute respiratory coronavirus 2 (SARS-CoV-2) infections. This study presents a comparison of two diagnostic tests: RT-PCR and antigen detection rapid diagnostic tests (Ag-RDTs). This study focused on their performance, variant specificity, and their clinical implications. A simultaneous testing of 268 samples was carried out for SARS-CoV-2 using RT-PCR and Ag-RDTs [flourescence immunoassay (FIA) and lateral flow immunoassay (LFIA)]. Viral load was quantified, and variant identification was performed using a PCR-based assay. The prevalence was found to be 30.2% using reverse transcription PCR (RT-PCR), 26.5% using FIA, and 25% using LFIA. When comparing the FIA and LFIA, the overall diagnostic performance was found to be 80.25% vs 76.54%, 96.79% vs 97.33%, 91.55% vs 90.51%, and 91.88% vs 92.56% for sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), respectively. Both Ag-RDTs showed a strong agreement with RT-PCR (κ = 0.78-0.80). The overall accuracies of the FIA and LFIA were 92.41% and 92.13%, respectively. The FIA showed higher sensitivity (73.68%) and PPV (92.08%) than the LFIA (65.79% and 90.56%, respectively) in asymptomatic patients. At low Ct values (<25), both Ag-RDTs had 100% sensitivity, but the sensitivity reduced to 31.82% for FIA and 27.27% for LFIA at Ct values > 30. The diagnostic sensitivity of FIA compared to LFIA for detecting the Alpha variant was 78.85% vs. 69.23% and 72.22% vs. 83.33% for the Delta variant. Both Ag-RDTs had 100% sensitivity for detecting Omicron. Both Ag-RDTs performed well in patients with high viral loads and Omicron variant infections compared to those infected with Alpha and Delta variants. This study confirms the comparable performance of RT-PCR and Ag-RDTs, specifically FIA and LFIA, for SARS-CoV-2 detection. The FIA showed higher sensitivity and PPV in asymptomatic cases, while both Ag-RDTs exhibited strong agreement with RT-PCR results. Notably, Ag-RDTs, particularly FIA, proved effective in detecting the Omicron variant and cases with high viral loads, highlighting their potential clinical utility in managing the COVID-19 pandemic.IMPORTANCEThis study is of utmost importance in providing effective responses to manage the COVID-19 pandemic. It rigorously compares the diagnostic accuracy, variant specificity, and practical considerations of reverse transcription PCR (RT-PCR) and antigen detection rapid diagnostic tests (Ag-RDTs) for severe acute respiratory coronavirus 2 (SARS-CoV-2), answering critical questions. The results of this study will help healthcare professionals choose the appropriate testing methods, allocate resources effectively, and enhance public health strategies. Given the evolution of the virus, understanding the performance of these diagnostic tools is crucial to adapting to emerging variants. Additionally, the study provides insights into logistical challenges and accessibility issues, which will contribute to refining testing workflows, particularly in resource-limited settings. Ultimately, the study's impact extends to global healthcare, providing valuable information for policymakers, clinicians, and public health officials as they work together for mitigating the impact of the pandemic.

Congenital Bleeding Disorders and COVID-19-A Systematic Literature Review

Hypercoagulability is a prominent feature of coronavirus disease 2019 (COVID-19) and can lead to fatal consequences. Although the impact of COVID-19 on several disorders is well-established, its effect on congenital bleeding disorders (CBDs) is not well-documented. To address this ambiguity, a systematic review was conducted on the available studies to determine the impact of COVID-19 and vaccination aimed to prevent COVID-19 on patients with CBDs. We performed a systematic literature review using relevant keywords and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol. We conducted our search on the PubMed, Scopus, and Web of Science databases until July 2023. Out of 31 included studies, 12 case series covering 770 patients with CBD and COVID-19 were further analyzed. The majority of the patients had hemophilia A (n = 352, ∼46%) or hemophilia B (n = 74, ∼10%), while the remaining patients had von Willebrand disease (n = 43, 5.6%) or rare bleeding disorders (n = 27, 3.5%). A total of 25 deaths (3.2%) and 22 intensive care unit admissions (2.8%) were recorded. Bleeding complications were reported in the majority of the 12 case series (n = 7, 58.3%) and in most of the case reports (n = 8, ∼57%), while thrombotic complications were only reported in two studies (16.6%). The mortality rate ranged from 0% in five studies (41.6%) to 5.7% and the rate of hospitalization ranged from 0 to 40%. Bleeding complications were reported in a range of 0 to 81%, while the thrombotic complication rate in one study was 6.9%. The mortality rate varied from 0 to 5.7%, and the hospitalization rate ranged from 0 to 40%. Bleeding complications were reported in a range of 0 to 81%, while the rate of thrombotic complications in one study was 6.9%. Vaccination was reported in five case series, which included 821 patients with CBDs with the majority having hemophilia A (n = 479; 67.2%) and hemophilia B (n = 85; ∼12%). The most frequently reported side effects were myalgia (6.5%), flu-like symptoms (4.8%), fever (4.7%), and headache (4%). COVID-19 in patients with CBDs appears to provoke thrombotic complications and bleeding events more frequently, as well as a higher rate of hospitalization, which may be partially due to the increased risk of bleeding events. Although it seems that patients with CBD have lower mortality rates, further studies are necessary to fully understand this, especially considering comorbidities and low number of available studies.

Assessing the Variation in COVID-19 Severity Among the Different Nationalities Living in Qatar

Background Coronavirus disease (COVID-19) is a highly infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and it has resulted in a global pandemic. The COVID-19 pandemic has resulted in numerous reports on clinical outcomes and risk factors associated with morbidity and mortality. However, the extent to which nationality influences the severity of COVID-19 is not fully understood. Therefore, this study aimed to explore disparities in COVID-19 severity among individuals of different nationalities in Qatar. Methods This is a retrospective study. Secondary data were obtained from the Ministry of Public Health in Qatar. Patients of different nationalities were categorized into different groups based on the WHO regional classification, and the severity of COVID-19 across these groups was analyzed. Results Data were obtained for 96,728 patients. This study found a statistically significant difference in disease severity among nationalities. The highest number of patients were from the Eastern Mediterranean group (42.3%), followed by Southeast Asia (39.4%). The severity of COVID-19 was highest among the Eastern Mediterranean groups (40%), followed by those from Southeast Asia (38.5%) and the Western Pacific (12.4%). There was a significant correlation between disease severity and vaccination status. Conclusion The findings of this study provide novel perspectives on the severity of COVID-19 among individuals of various nationalities. Moreover, it emphasizes the importance of healthcare interventions to address disparities in COVID-19 morbidity and mortality within these groups. The results of this study provide a useful foundation for developing approaches to prevent and manage pandemics more effectively and reduce the number of cases and fatalities during future health crises.

Evolution of COVID-19 infection characteristics in a Lebanese cohort of inpatients during different pandemic periods

This study aims to describe COVID-19 patients characteristics, laboratory and imaging results, and the different outcomes of patients admitted to the Lebanese American University Medical Center-Rizk Hospital over a period of 9 months. In this observational retrospective study, data were obtained from electronic medical records of 491 male and female patients from the ages of 17 to 97. Analysis of the patients was performed in 3 periods: August 2020 to October 20 November 202020 to January 2021 and February 2021 to April 2021 corresponding with 3 waves of newly diagnosed cases during this period. The sample showed a male predominance with an average age of 63. The average hospitalization length was 10.1 days. The majority of patients were discharged to quarantine. The distribution of hospitalized cases was significantly correlated to the monthly distribution of newly COVID-19 cases in Lebanon. There was no significant difference in patient's characteristics between the 3 periods of the study (gender, age, body mass index, smoking, and medical conditions). Clinical presentations of the patients varied between the 3 periods. Similarly, the course and outcome of infection varied. Patients received less oxygen during period 1, while more patients were cured during period 3. This study presents the first Lebanese cohort of COVID-19 patients with their medical background, clinical presentation, laboratory results, radiological findings and course of infection with its outcome. It also shows how the relations between the medical manifestation of the COVID-19 pandemic and the socio-political measures of infection control are deeply intertwined.

Evaluation of Diabetes Hotline Service Implemented During the COVID-19 Pandemic: A Dynamic Adaptation

Background: The coronavirus disease 19 (COVID-19) pandemic presented major challenges for people living with diabetes. People with diabetes were identified as being at increased risk of serious illness from COVID-19. The lockdown and preventive measures, including social distancing measures, implemented worldwide to limit the spread of COVID-19 had negatively impacted access to diabetes care, including self-management services, challenging the way modern medicine had been practiced for decades. This article aims to shed light on the implementation and evaluation of the Diabetes hotline service run by trained diabetes patient educators during the pandemic in Qatar. Methods: The logic model is utilized to showcase the implemented strategies/activities and the output monitoring process. An online survey among hotline users was undertaken to gather feedback on patients' overall experience of using the service and physician feedback. Results: Of the 464 patients surveyed, over 92% stated that they would recommend the hotline service to others, and over 90% indicated that they considered the hotline a trusted and reliable resource for diabetes education and advice. Conclusion: It is expected that the lessons learned from maintaining health care delivery services during the COVID-19 pandemic have created new ways of providing standard care and meeting the needs of people with diabetes. Future research should study the clinical outcomes for patients who benefited from the hotline services and the impact on the well-being of people with diabetes.

Disruption of diabetes and hypertension care during the COVID-19 pandemic and recovery approaches in the Latin America and Caribbean region: a scoping review protocol

INTRODUCTION

The COVID-19 pandemic significantly disrupted primary healthcare globally, with particular impacts on diabetes and hypertension care. This review will examine the impact of pandemic disruptions of diabetes and hypertension care services and the evidence for interventions to mitigate or reverse pandemic disruptions in the Latin America and Caribbean (LAC) region.

METHODS AND ANALYSES

This scoping review will examine care delivery disruption and approaches for recovery of primary healthcare in the LAC region during the COVID-19 pandemic, focusing on diabetes and hypertension awareness, detection, treatment and control. Guided by Arksey and O'Malley's scoping review methodology framework, this protocol adheres to the Joanna Briggs Institute guidelines for scoping review protocols and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance for protocol development and scoping reviews. We searched MEDLINE, CINAHL, Global Health, Embase, Cochrane, Scopus, Web of Science and LILACS for peer-reviewed literature published from 2020 to 12 December 2022 in English, Spanish or Portuguese. Studies will be considered eligible if reporting data on pandemic disruptions to primary care services within LAC, or interventions implemented to mitigate or reverse pandemic disruptions globally. Studies on COVID-19 or acute care will be excluded. Two reviewers will independently screen each title/abstract for eligibility, screen full texts of titles/abstracts deemed relevant and extract data from eligible full-text publications. Conflicts will be resolved through discussion and with the help of a third reviewer. Appropriate analytical techniques will be employed to synthesise the data, for example, frequency counts and descriptive statistics. Quality will be assessed using the Newcastle Ottawa Quality Assessment Scale.

ETHICS AND DISSEMINATION

No ethics approval was needed as this is a scoping review of published literature. Results will be disseminated in a report to the World Bank and the Pan American Health Organization, in peer-reviewed scientific journals, and at national and international conferences.

Degree of COVID-19 severity and mortality in stroke: correlation of clinical and laboratory parameters

BACKGROUND

Stroke is one of the neurological manifestations of COVID-19, leading to a significant risk of morbidity and mortality. Clinical manifestations and laboratory parameters were investigated to determine mortality predictors in this case.

METHOD

The case control study was conducted at Dr. Sardjito General Hospital,Yogyakarta, Indonesia, with data collected between July 2020 and August 2021. All recorded clinical and laboratory data from acute stroke patients with confirmed COVID-19 were collected. Baseline characteristics, bivariate, and multivariate analyses were assessed to determine significant predictors for mortality.

RESULT

This study involved 72 subjects with COVID-19 and stroke. The majority experienced ischemic stroke, with hypertension as the most prevalent comorbidity. Notably, 45.8% of subjects (p < 0.05) loss of consciousness and 72.2% of exhibited motor deficits (p < 0.05). Severe degree of COVID-19 was observed in 52.8% of patients, with respiratory distress and death rates of 56.9% and 58.3%. Comparison of surviving and deceased groups highlighted significant differences in various clinical and laboratory characteristics differences. Hazard ratio (HR) analysis identified loss of consciousness (HR = 2.68; p = 0.01), motor deficit (HR = 2.34; p = 0.03), respiratory distress (HR = 81.51; p < 0.001), and monocyte count (HR:1.002; p = 0.04) as significant predictors of mortality.

CONCLUSION

Mortality in COVID-19 patients with stroke was significantly associated with loss of consciousness, motor deficit, respiratory distress, and raised monocyte count. The risk of mortality is heightened when multiple factors coexist.

Exploring the Level of Self-Care Behavior, Motivation, and Self-Efficacy among Individuals With Hypertension: A Cross-Sectional Study

Introduction

Hypertension is a serious public health issue. It is a significant but controllable factor in the emergence of cardiovascular disease. Controlling hypertension is a main target for individuals to prevent further illness.

Objective

This study aims to explore the level of self-care behaviors, motivation, and self-efficacy among individuals with hypertension.

Methods

A cross-sectional, descriptive, correlational design was used to recruit (n = 121) participants utilizing the Hypertension Self-Care Profile (HTN-SCP) questionnaire.

Results

The analysis revealed that the mean score of self-care behavior was 49.7 (SD = 10.0) out of 20-80, which indicates that they are likely to have good self-care behavior. The mean score of motivation for self-care was 59.7 (SD = 11.8) out of 20-80, reflecting that individuals with hypertension have a good level of motivation for self-care, and the mean score of self-efficacy was 70.0 (SD = 9.8) out of 20-80, which means that individuals with hypertension have a high level of self-efficacy. Also, there was a significant positive correlation between self-care behavior and motivation for self-care (r = .527, p < .001), between motivation for self-care and self-efficacy (r = .554, p < .001), and between self-efficacy and self-care behavior (r = .572, p < .001).

Conclusion

The study revealed that Jordanian patients with hypertension have good self-care practices, motivation, and high self-efficacy. Patients should therefore be strongly recommended to be compliant with self-care practices. The government should prioritize hypertensive patients by making it easier for them to receive information about self-management practices to improve their quality of care.

Pre-existing neurological conditions and COVID-19 co-infection: Data from systematic reviews, meta-analyses, and scoping reviews

BACKGROUND

Pre-existing neurological diseases have been identified as risk factors for severe COVID-19 infection and death. There is a lack of comprehensive literature review assessing the relationship between pre-existing neurological conditions and COVID-19 outcomes. Identification of high risk groups is critical for optimal treatment and care.

METHODS

A literature review was conducted for systematic reviews, meta-analyses, and scoping reviews published between January 1, 2020 and January 1, 2023. Literature assessing individuals with pre-existing neurological diseases and COVID-19 infection was included. Information regarding infection severity was extracted, and potential limitations were identified.

RESULTS

Thirty-nine articles met inclusion criteria, with data assessing >3 million patients from 51 countries. 26/51 (50.9%) of countries analyzed were classified as high income, while the remaining represented middle-low income countries (25/51; 49.0%). A majority of evidence focused on the impact of cerebrovascular disease (17/39; 43.5%) and dementia (5/39; 12.8%) on COVID-19 severity and mortality. 92.3% of the articles (36/39) suggested a significant association between neurological conditions and increased risk of severe COVID-19 and mortality. Cerebrovascular disease, dementia, Parkinson's disease, and epilepsy were associated with increased COVID severity and mortality.

CONCLUSION

Pre-existing neurological diseases including cerebrovascular disease, Alzheimer's disease and other dementias, epilepsy, and Parkinson's disease are significant risk factors for severity of COVID-19 infection and mortality in the acute infectious period. Given that 61.5% (24/39) of the current evidence only includes data from 2020, further updated literature is crucial to identify the relationship between chronic neurological conditions and clinical characteristics of COVID-19 variants.

Respiratory Interventions, Hospital Utilization, and Clinical Outcomes of Persons with COPD and COVID-19

Purpose

Coronavirus disease 2019 (COVID-19) impacted outcomes of persons with chronic respiratory diseases such as chronic obstructive pulmonary disease (COPD). This study investigated the differences in respiratory interventions, hospital utilization, smoking status, and 30-day readmission in those with COPD and COVID-19 based on hospital survival status.

Methods

A retrospective cross-sectional study was conducted from February 2020 to October 2020 and included persons with COPD and COVID-19 infection. We examined respiratory interventions, hospital utilization and outcomes, and 30-day hospital readmission. Chi-square test analysis was used to assess categorical variables, and t-test or Mann-Whitney was used to analyze continuous data based on normality.

Results

Ninety persons were included in the study, 78 (87%) were survivors. The most common comorbidity was hypertension 71 (78.9%) (p = 0.003). Twenty-two (24%) persons were intubated, from whom 12 (15%) survived (p < 0.001). There were 25 (32.1%) and 12 (100%), (p < 0.001) persons who required an ICU admission from the survivor and non-survivor groups, respectively. Among the survivor group, fifteen (19%) persons required 30-day hospital readmission.

Conclusion

Persons with COPD and COVID-19 had a lower mortality rate (13%) compared to other studies in the early pandemic phase. Non-survivors had increased ICU utilization, endotracheal intubation, and more frequent application of volume control mode. Discharging survivors to long-term acute care facilities may reduce 30-day hospital readmissions.

Factors Associated with SARS-CoV-2 Infection Evaluated by Antibody Response in a Sample of Workers from the Emilia-Romagna Region, Northern Italy

Factors associated with SARS-CoV-2 infection risk are still debated. This case-control study aims to investigate the possible relationship between SARS-CoV-2 infection, evaluated through antibody response, and the main sociodemographic, occupational, clinical-anamnestic, and biochemical factors in a population of Modena province (Northern Italy), mainly workers. Both workers who voluntarily joined the screening campaign proposed by companies and self-referred individuals who underwent serological testing were enrolled. Subjects with antibody positivity were recruited as cases (n = 166) and subjects tested negative (n = 239) as controls. A questionnaire on sociodemographic, occupational, and clinical data was administered through telephone interviews. Serum zinc/iron/copper/chromium/nickel, vitamins D/B12, folates, triglycerides, and LDL/HDL/total cholesterol were measured. Cases lived more often in urban areas (61.8% vs. 57%). Cases and controls did not differ significantly by working macrocategories, but the percentage of workers in the ceramic sector was higher among cases. Low adherence to preventive measures in the workplace was more frequent among seropositives. Folate concentration was significantly lower among cases. Therefore, adequate folate levels, living in rural areas, and good adherence to preventive strategies seem protective against infection. Workers in the ceramic sector seem to be at greater risk; specific factors involved are not defined, but preventive interventions are needed.

Effect of chronic disease on racial difference in COVID-19-associated hospitalization among cancer patients

BACKGROUND

Research indicates that Black cancer patients have higher rates of COVID-19 hospitalization than their White counterparts. However, the extent to which chronic diseases contribute to racial disparities remains uncertain. We aimed to quantify the effect of chronic diseases on racial disparity in COVID-19-associated hospitalization among cancer patients.

METHODS

We linked Louisiana Tumor Registry's data with statewide COVID-19 data and hospital in-patient discharge data to identify patients diagnosed with cancer in 2015-2019 who tested positive for COVID-19 in 2020 and those with COVID-19-associated hospitalization. Multivariable logistic regression and mediation methods based on linear structural equations were employed to assess the effects of the number of chronic diseases (0, 1-2, ≥3) and individual chronic diseases.

RESULTS

Of 6381 cancer patients who tested positive for COVID-19, 31.6% were non-Hispanic Black cancer patients. Compared with non-Hispanic White cancer patients, non-Hispanic Black cancer patients had a higher prevalence of chronic diseases (79.5% vs 66.0%) and higher COVID-19-associated hospitalization (27.2% vs 17.2%). The odds of COVID-19-associated hospitalization were 80% higher for non-Hispanic Black cancer patients than non-Hispanic White cancer patients (odds ratio = 1.80, 95% confidence interval = 1.59 to 2.04). After adjusting for age, sex, insurance, poverty, obesity, and cancer type, number of chronic diseases explained 37.8% of the racial disparity in COVID-19-associated hospitalization, and hypertension, diabetes, and chronic renal disease were the top 3 chronic diseases explaining 9.6%, 8.9%, and 7.3% of the racial disparity, respectively.

CONCLUSION

Chronic diseases played a substantial role in the racial disparity in COVID-19-associated hospitalization among cancer patients, especially hypertension, diabetes, and renal disease. Understanding and addressing the root causes are crucial for targeted interventions, policies, and health-care strategies to reduce racial disparity.

Disease Outcomes of COVID-19 in Diabetic and Hypertensive Patients During the Hospital Stay

Background A single-stranded RNA genome-encapsulated virus known as severe acute respiratory syndrome coronavirus 2 is known to cause severe acute respiratory syndrome in humans. People with diabetes and hypertension are often more susceptible to developing coronavirus disease 2019 (COVID-19) and experience a disproportionately higher rate of morbidity and death compared to the general population. The COVID-19 pandemic has become an urgent worldwide issue. Therefore, the main goal of this study is to assess how diabetes and hypertension, both separately and together, affect clinical outcomes in terms of morbidity and mortality in patients hospitalized with COVID-19. This study aimed to evaluate the disease outcomes in hypertensive and diabetic patients hospitalized with COVID-19. Methodology This descriptive, cross-sectional study was conducted from June 2022 to November 2022. Using purposive selective sampling, a total of 90 known hypertensive and diabetic patients with COVID-19 aged 18-90 years admitted in COVID-19 isolation wards and intensive care units (ICUs) of Mayo Hospital Lahore were recruited in this study after obtaining informed consent and IRB approval from the Institutional Review Board of King Edward Medical University, Lahore. Patients who did not provide consent, patients whose positive polymerase chain reaction reports for COVID-19 were not available, pregnant females, and patients with other comorbidities were excluded from the study. Data were collected from the COVID-19 isolation medical wards and ICUs from patient charts containing age, the status of hypertension and diabetes, disease status, severity, and levels of inflammatory markers, i.e., D-dimers, serum lactate dehydrogenase (LDH), serum ferritin, C-reactive protein (CRP). Data were analyzed using SPSS version 23 (IBM Corp., Armonk, NY, USA). Quantitative variables such as age were presented as mean ± SD. Qualitative variables such as hypertension, diabetes, and levels of inflammatory markers were presented as frequency and percentages. Results In this study, 90 patients were included, with 51 (57%) females and 39 (43%) males, all of whom were either hypertensive, diabetic, or both. In total, 70 (78%) patients were admitted to ICUs and 20 (22%) to COVID-19 medical isolation wards. Among 70 ICU patients, 39 (43.3%) were on continuous positive airway pressure/bilevel positive airway pressure, seven (7.8%) were on ventilators, and 44 (48.8%) were on normal oxygen masks/non-rebreather masks with high-flow oxygen. Overall, 100% of the patients included in the study had raised levels of inflammatory markers, low lymphocyte count, and increased neutrophil count. In total, 84 (93%) patients had severely high and six (7%) patients had moderately high CRP levels. Moreover, 33 (36.7%) patients had severely high and 57 (63.3%) patients had moderately high D-dimer levels. Further, 25 (28%) patients had severely high, 26 (29%) patients had moderately high, and 39 (43.3%) patients had significantly raised levels of serum ferritin. In total, 21 (23%) patients had severely high, 37 (41%) had moderately high, and 32 (36%) had significantly raised levels of serum LDH. Among the 90 patients, 65 (73%) expired and 25 (27%) survived. Of the expired patients, 62 (95%) were admitted to ICUs, and three (5%) were admitted to wards. Conclusions Diabetes and hypertension are strong predictors of COVID-19 severity in terms of morbidity and mortality due to respiratory deterioration.

The severity of COVID-19 in hypertensive patients is associated with mirSNPs in the 3' UTR of ACE2 that associate with miR-3658: In silico and in vitro studies

The SARS-CoV-2 virus targets the antigen converting enzyme 2 (ACE2) receptor, thus resulting in elevated morbidity and an increased risk of severe and fatal COVID-19 infection in individuals with hypertension and diabetes mellitus.

Objectives

This study aimed to identify the association between increased susceptibility and severity in order to evaluate their impact in hypertensive COVID-19 patients using in vitro and in silico models.

Methods

We identified 80 miRNA binding sites on ACE2 (for different miRNAs) as well as various 30 SNPs in the miRNA binding sites of the 3' untranslated region (3' UTR) in the ACE2 gene using different online software and tools. From August 2020 to August 2021, a total of 200 nasopharyngeal/mouth swabs samples were collected from Multan, Pakistan. In order to quantify the cDNA of ACE2 and miR-3658 genes, we used Rotor Gene qRT-PCR on hypertensive patients with COVID-19 as well as healthy controls.

Results

Interestingly, the binding site of miR-3658 corresponding to the 3' UTR of ACE2 featured three SNPs (rs1457913029, C>T; rs960535757, A>C, G; rs1423809569, C>T), and its genomic sequence featured a single SNP (rs1024225815, C>T) with the same nucleotide variation (rs1457913029, C>T) which potentially increases the severity of COVID-19. Similarly, three other SNPs (rs1557852115, C>G; rs770335293, A>G; rs1024225815, C>T) were also found on the first binding site positions of miR-3658. Our in vitro study found that ACE2 gene expression had an effect on miR-3658 in COVID-19 patients who also had hypertension. In both cases, our analysis demonstrated that the in silico model captured the same biological mechanisms as the in vitro system.

Conclusion

The identified SNPs could represent potential informative signatures owing to their position in the splicing site of the ACE2 gene.

Relationship between anal swab PCR for SARS-CoV-2 with gastrointestinal clinical manifestations and severity of COVID-19 infection in Indonesia

Introduction: Coronavirus disease 2019 (COVID-19) cases caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Indonesia remain high. The virus can bind with ACE2 receptor which is not only found in the lungs, but also in the digestive tract. Thus, it allows SARS-CoV-2 infection in the gastrointestinal tract, gastrointestinal manifestations, and detection of viral RNA on anal swab using polymerase chain reaction (PCR). There hasn't been similar study about the role of anal swab in Indonesia yet. Therefore, this study aims to determine the relationship between SARS-COV-2 anal swab PCR with gastrointestinal clinical manifestations, and the severity of COVID-19 in Indonesia. Methods: This is an analytical study with cross-sectional design. Samples were obtained from hospitalized COVID-19 patients from July 2020 to January 2021. Demographic data, clinical manifestations, severity, and SARS-CoV-2 anal swabs PCR were collected using case report form. Results: A total of136 patients were analyzed. 52 patients (38.2%) had positive SARS-CoV-2 anal swabs PCR and 84 patients (61.8%) had negative results. The most common gastrointestinal clinical manifestations were nausea and vomiting in 69 patients (50.7%), anorexia in 62 patients (45.6%), and abdominal pain in 31 patients (22.8%). There were 114 patients (83,8%) classified as mild-moderate symptoms and 22 patients (16,2%) classified as severe-critical symptoms. There was a statistically significant relationship between the gastrointestinal tract SARS-CoV-2 infection and gastrointestinal clinical manifestations (P=0.031). There was no statistically significant relationship between the gastrointestinal SARS-CoV-2 infection and the severity of COVID-19 infection (P = 0.844). Conclusions: This study showed there is a significant relationship between SARS-CoV-2 anal swab PCR with gastrointestinal clinical manifestations. There is no significant relationship between anal swab PCR with the severity of COVID-19 infection.

Influencing factors associated with quality of life and depression among COVID-19 survivors during convalescence

This study aims to investigate influencing factors of quality of life (QoL) and depression among COVID-19 survivors during convalescence. A cross-sectional study was conducted in November 2020 in Wuhan, China. Information on social support, physical activity, QoL and depressive symptoms were assessed using self-administered questionnaires. Multivariate linear regression and multivariate logistic regression were used to assess the risk factors of subdomains of QoL (physical component score (PCS) and mental component score (MCS)) and depression, respectively. A total of 151 COVID-19 survivors (68 males) aged 53.21 (SD: 12.70) years participated in the study. Multivariate linear regression showed that age (β=-0.241), history of chronic disease (β=-0.4.774), physical activity (β = 2.47) and social support (β = 0.147) were significantly associated with PCS, while having a spouse (β = 9.571), monthly income (β = 0.043) and social support (β = 0.337) were significantly associated with MCS. Logistic regression suggested that participants aged 40-60 years (OR = 10.20, 95%CI: 1.41-73.82) or above 60 years (OR = 15.63, 95%CI: 1.87-131.00), with high school or above education (OR = 5.81, 95%CI: 1.24-27.20), with low/moderate physical activity (low, OR = 2.97, 95%CI: 1.14-7.77; moderate, OR = 3.42, 95%CI: 1.07-10.91) and low/medium social support (low, OR = 4.81, 95% CI: 2.02-11.43; medium, OR = 9.70, 95%CI: 1.17-80.10) were more likely to be depressed, while higher monthly income (≥3000 Yuan RMB/month) was associated with lower risk for depression (OR = 0.27, 95%CI: 0.09-0.82). These findings indicate COVID-19 survivors with older age, having chronic conditions, without a spouse, low monthly income, low level of physical activity and social support had significantly increased risks for poor QoL and depression, and more attention should be given to this population.

COVID-19 mortality and risk factors in patients with cancer in Ecuador: A retrospective, non-randomized, controlled study

The 2019 coronavirus disease (COVID-19) pandemic has affected different human populations since March 2020 and challenged healthcare systems, especially in chronic non-communicable diseases such as cancer. The present study aimed to evaluate the mortality, risk factors, and symptoms of cancer patients and control subjects, diagnosed with COVID-19 and admitted to intensive care unit (ICU). This retrospective, observational, non-randomized, controlled study of patients admitted to ICU was conducted between March and August 2020 in an Ecuadorian oncology center. Patient information collected from electronic medical records included sociodemographic information, clinical history, symptoms, laboratory test results, COVID-19 treatment, and discharge status. For patients with neoplasia, diagnosis, type, and status of cancer, as well as antineoplastic treatment received over the past month was also recorded. Descriptive statistics and multiple logistic regression were used to analyze the data. Statistical analysis was performed with SPSS (version 22.0) and R (version 4.1.3). In total, 79 adult COVID-19 patients were studied (40 with cancer and 39 controls). The total mean time until COVID-19 symptoms onset was 6.2 ± 3.5 days (5.3 ± 3.2 days in the cancer group vs 7.2 ± 3.6 days in the control group; P = .016) but no difference was observed in reported symptoms. All patients received an antibiotic treatment, but only 70% of the cancer group had antivirals (P < .001). Cancer patients had lower hemoglobin levels than controls (10.7 ± 2.8 vs 13.3 ± 1.7 g/dL; P < .001). In terms of mortality, not statistically significance difference was reported between groups. The study showed that high ferritin (Absolute Odds Ratio of 3.9; 95% CI 1.1-14.6) and mechanical ventilation (Absolute Odds Ratio of 4.9; 95% CI 1.3-18.6) were independent COVID-19 mortality risk factors. COVID-19 infection did not represent an increased risk of mortality in cancer patients, but elevated ferritin levels and the need for mechanical ventilation were identified as mortality risk factors.

Association of triglyceride/high-density lipoprotein cholesterol ratio with severe complications of COVID-19

Background

The coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus can lead to serious complications such as respiratory failure, requiring mechanical ventilation or ICU care, and can even result in death, especially in older patients with comorbidities. The ratio of triglyceride to high-density lipoprotein cholesterol (TG/HDL), a biomarker of atherosclerotic dyslipidemia and insulin resistance, is related to cardiovascular mortality and morbidity. We aimed to evaluate the link between serious complications of COVID-19 and TG/HDL in the general population.

Methods

We conducted a comprehensive analysis of 3,933 COVID-19 patients from a nationwide cohort in Korea spanning from January 1 to June 4, 2020. TG/HDL ratio was calculated from the national health screening examination data underwent before the COVID-19 infection. Serious complications of COVID-19 were defined as a composite of high-flow oxygen therapy, mechanical ventilation, admission to the intensive care unit (ICU), and mortality. We employed logistic regression analysis to investigate the relationship between the TG/HDL ratio and the likelihood of developing severe complications within 2 months of the diagnosis. To visualize this association, we used a smoothing spline plot based on the generalized additive regression model. Multivariate analysis was performed with adjustment for age, gender, body mass index, lifestyle measures, and comorbidities.

Results

Among the 3,933 COVID-19 patients, the proportion of serious complications was 7.53%. Regarding individual outcomes, the number of patients who received high-flow oxygen therapy, mechanical ventilation, ICU care, and died was 84 (2.14%), 122 (3.10%), 173 (4.40%), and 118 (3.00%), respectively. In the multivariable logistic regression, a positive association was found between TG/HDL ratio and serious complications of COVID-19 (adjusted OR, 1.09; 95% CI [1.03-1.15], p = 0.004).

Conclusion

Our study revealed a significant positive association between TG/HDL ratio and the risk of developing severe complications in COVID-19-infected patients. While this finding provides valuable insight into the potential prognostic role of TG/HDL ratio in COVID-19, further studies are needed to fully elucidate the underlying mechanisms behind this relationship.

Mechanochemical Synthesis of Thiazolidinone-Triazoles Derivatives as Antidiabetic Agents: Pharmacokinetics, Molecular Docking, and In Vitro Antidiabetic Properties

Mechanochemistry is an eco-friendly and solventless method. In the present study, the surface of a custom-made closed mortar and pestle is used as a catalyst to synthesize thiazolidinone-triazole derivatives successfully. The compounds were subjected to potential antidiabetic activity. The results showed that para-chloro-substituted derivative (9c) is most active with IC50 values of 10±1.56. All three compounds 9a-9c with a maximum of 20% inhibition for ALR1 represent superior selectivity toward the targeted ALR2 to act as a lead in the search for new antidiabetic agents.

Bivariate logistic regression model diagnostics applied to analysis of outlier cancer patients with comorbid diabetes and hypertension in Malawi

The joint occurrence of diabetes and hypertension conditions in a patient is common. The two diseases share a number of risk factors, and are hence usually modelled concurrently using bivariate logistic regression. However, the postestimation assessment for the model, such as analysis of outlier observations, is seldom carried out. In this article, we apply outlier detection methods for multivariate data models to study characteristics of cancer patients with joint outlying diabetes and hypertension outcomes observed from among 398 randomly selected cancer patients at Queen Elizabeth and Kamuzu Central Hospitals in Malawi. We used R software version 4.2.2 to perform the analyses and STATA version 12 for data cleaning. The results showed that one patient was an outlier to the bivariate diabetes and hypertension logit model. The patient had both diabetes and hypertension and was based in rural area of the study population, where it was observed that comorbidity of the two diseases was uncommon. We recommend thorough analysis of outlier patients to comorbid diabetes and hypertension before rolling out interventions for managing the two diseases in cancer patients to avoid misaligned interventions. Future research could perform the applied diagnostic assessments for the bivariate logit model on a wider and larger dataset of the two diseases.

Label-free and selective cholesterol detection based on multilayer functional structure coated fiber fabry-perot interferometer probe

A reflective fiber-optic Fabry-Perot cavity probe sensor is proposed to selectively measure cholesterol concentration by insert single mode fiber into ceramic tube and immobilize epoxy resin (ER)/graphene oxide (GO)/beta-cyclodextrin (β-CD) multi-layer film onto end face of ceramic tube. EDC/NHS activated GO is selected to form chemical binding with β-CD, and β-CD is the sensitive materials to bind with cholesterol molecules. With multi-layer film assisted, the sensitivity of sensor to cholesterol concentration can reach 3.92 nm/mM and the limit of detection reaches 3.48 μ M. In addition, 4 mM hemoglobin, glucose and ascorbic acid are doped into a set cholesterol sample and verified the highly selectivity of sensing cholesterol. Furthermore, the reproducibility was proved by measure the spectrum of four sensors with same fabrication process, and the reusability was also proved by repeated measurements. Overall, the sensor features with high mechanical strength, ease of fabrication, real-time monitoring, low cost and ease for measurement that given by probe structure. Therefore, the sensor provides a remarkable analytical platform for biosensing applications.

Covid-19 a triggering factor of autoimmune and multi-inflammatory diseases

SARS-CoV-2 virus has attracted a lot of attention globally due to the autoimmune and inflammatory processes that were observed during the development of Covid-19 disease. Excessive activation of immune response and triggering of autoantibodies synthesis as well as an excessive synthesis of inflammatory cytokines and the onset of cytokine storm has a vital role in the disease outcome and the occurring autoimmune complications. This scenario is reminiscent of infiltration of lymphocytes and monocytes in specific organs and the increased production of autoantibodies and chemoattractants noted in other inflammatory and autoimmune diseases. The main goal of this study is to investigate the complex inflammatory processes that occur in Covid-19 disease and to find similarities with other inflammatory diseases such as multiple sclerosis (MS), acute respiratory distress syndrome (ARDS), rheumatoid arthritis (RA) and Kawasaki syndrome to advance existing diagnostic and therapeutic protocols. The therapy with Interferon-gamma (IFN-γ) and the use of S1P receptor modulators showed promising results. However, there are many unknowns about these mechanisms and possible novel therapies. Therefore, the inflammation and autoimmunity triggered by Covid-19 should be further investigated to improve existing diagnostic procedures and therapeutic protocols for Covid-19.

Hirsutidin Prevents Cisplatin-Evoked Renal Toxicity by Reducing Oxidative Stress/Inflammation and Restoring the Endogenous Enzymatic and Non-Enzymatic Level

Recent research has shown that phytocomponents may be useful in the treatment of renal toxicity. This study was conducted to evaluate the renal disease hirsutidin in the paradigm of renal toxicity induced by cisplatin. Male Wistar rats were given cisplatin (3 mg/kg body weight/day, for 25 days, i.p.) to induce renal toxicity. Experimental rats were randomly allocated to four different groups: group I received saline, group II received cisplatin, group III received cisplatin + hirsutidin (10 mg/kg)and group IV (per se)received hirsutidin (10 m/kg)for 25 days. Various biochemical parameters were assessed, oxidative stress (superoxide dismutase (SOD), glutathione transferase (GSH), malonaldehyde (MDA) and catalase (CAT)), blood-chemistry parameters (blood urea nitrogen (BUN) and cholesterol), non-protein-nitrogenous components (uric acid, urea, and creatinine), and anti-inflammatory-tumor necrosis factor-α (TNF-α), interleukin-1β(IL-1β). IL-6 and nuclear factor-kB (NFκB) were evaluated and histopathology was conducted. Hirsutidin alleviated renal injury which was manifested by significantly diminished uric acid, urea, urine volume, creatinine, and BUN, compared to the cisplatin group. Hirsutidin restored the activities of several antioxidant enzyme parameters—MDA, CAT, GSH, and SOD. Additionally, there was a decline in the levels of inflammatory markers—TNF-α, IL-1β, IL-6, and NFκB—compared to the cisplatin group. The current research study shows that hirsutidin may act as a therapeutic agent for the treatment of nephrotoxicity induced by cisplatin.

Treating diabetes with combination of phosphodiesterase 5 inhibitors and hydroxychloroquine-a possible prevention strategy for COVID-19?

Type 2 diabetes (T2D) is one of the major risk factors for developing cardiovascular disease and the resultant devastating morbidity and mortality. The key features of T2D are hyperglycemia, hyperlipidemia, insulin resistance, and impaired insulin secretion. Patients with diabetes and myocardial infarction have worse prognosis than those without T2D. Moreover, obesity and T2D are recognized risk factors in developing severe form of COVID-19 with higher mortality rate. The current lines of drug therapy are insufficient to control T2D and its serious cardiovascular complications. Phosphodiesterase 5 (PDE5) is a cGMP specific enzyme, which is the target of erectile dysfunction drugs including sildenafil, vardenafil, and tadalafil. Cardioprotective effects of PDE5 inhibitors against ischemia/reperfusion (I/R) injury were reported in normal and diabetic animals. Hydroxychloroquine (HCQ) is a widely used antimalarial and anti-inflammatory drug and its hyperglycemia-controlling effect in diabetic patients is also under investigation. This review provides our perspective of a potential use of combination therapy of PDE5 inhibitor with HCQ to reduce cardiovascular risk factors and myocardial I/R injury in T2D. We previously observed that diabetic mice treated with tadalafil and HCQ had significantly reduced fasting blood glucose and lipid levels, increased plasma insulin and insulin-like growth factor-1 levels, and improved insulin sensitivity, along with smaller myocardial infarct size following I/R. The combination treatment activated Akt/mTOR cellular survival pathway, which was likely responsible for the salutary effects. Therefore, pretreatment with PDE5 inhibitor and HCQ may be a potentially useful therapy not only for controlling T2D but also reducing the rate and severity of COVID-19 infection in the vulnerable population of diabetics.

Spatial modeling and socioeconomic inequities of COVID-19 in the urban area of the city of Cali, Colombia

COVID-19 has spread worldwide with a high variability in cases and mortality between populations. This research aims to assess socioeconomic inequities of COVID-19 in the city of Cali, Colombia, during the first and second peaks of the pandemic in this city. An ecological study by neighborhoods was carried out, were COVID-19 cases were analyzed using a Bayesian hierarchical spatial model that includes potential risk factors such as the index of unsatisfied basic needs and socioeconomic variables as well as random effects to account for residual variation. Maps showing the geographic patterns of the estimated relative risks as well as exceedance probabilities were created. The results indicate that in the first wave, the neighborhoods with the greatest unsatisfied basic needs and low socioeconomic strata, were more likely to report positive cases for COVID-19. For the second wave, the disease begins to spread through different neighborhoods of the city and middle socioeconomic strata presents the highest risk followed by the lower strata. These findings indicate the importance of measuring social determinants in the study of the distribution of cases due to COVID-19 for its inclusion in the interventions and measures implemented to contain contagions and reduce impacts on the most vulnerable populations.

Deep learning models-based CT-scan image classification for automated screening of COVID-19

COVID-19 is the most transmissible disease, caused by the SARS-CoV-2 virus that severely infects the lungs and the upper respiratory tract of the human body. This virus badly affected the lives and wellness of millions of people worldwide and spread widely. Early diagnosis, timely treatment, and proper confinement of the infected patients are some possible ways to control the spreading of coronavirus. Computed tomography (CT) scanning has proven useful in diagnosing several respiratory lung problems, including COVID-19 infections. Automated detection of COVID-19 using chest CT-scan images may reduce the clinician's load and save the lives of thousands of people. This study proposes a robust framework for the automated screening of COVID-19 using chest CT-scan images and deep learning-based techniques. In this work, a publically accessible CT-scan image dataset (contains the 1252 COVID-19 and 1230 non-COVID chest CT images), two pre-trained deep learning models (DLMs) namely, MobileNetV2 and DarkNet19, and a newly-designed lightweight DLM, are utilized for the automated screening of COVID-19. A repeated ten-fold holdout validation method is utilized for the training, validation, and testing of DLMs. The highest classification accuracy of 98.91% is achieved using transfer-learned DarkNet19. The proposed framework is ready to be tested with more CT images. The simulation results with the publicly available COVID-19 CT scan image dataset are included to show the effectiveness of the presented study.

Simulation of COVID-19 symptoms in a genetically engineered mouse model: implications for the long haulers

The ongoing pandemic (also known as coronavirus disease-19; COVID-19) by a constantly emerging viral agent commonly referred as the severe acute respiratory syndrome corona virus 2 or SARS-CoV-2 has revealed unique pathological findings from infected human beings, and the postmortem observations. The list of disease symptoms, and postmortem observations is too long to mention; however, SARS-CoV-2 has brought with it a whole new clinical syndrome in "long haulers" including dyspnea, chest pain, tachycardia, brain fog, exercise intolerance, and extreme fatigue. We opine that further improvement in delivering effective treatment, and preventive strategies would be benefited from validated animal disease models. In this context, we designed a study, and show that a genetically engineered mouse expressing the human angiotensin converting enzyme 2; ACE-2 (the receptor used by SARS-CoV-2 agent to enter host cells) represents an excellent investigative resource in simulating important clinical features of the COVID-19. The ACE-2 mouse model (which is susceptible to SARS-CoV-2) when administered with a recombinant SARS-CoV-2 spike protein (SP) intranasally exhibited a profound cytokine storm capable of altering the physiological parameters including significant changes in cardiac function along with multi-organ damage that was further confirmed via histological findings. More importantly, visceral organs from SP treated mice revealed thrombotic blood clots as seen during postmortem examination. Thus, the ACE-2 engineered mouse appears to be a suitable model for studying intimate viral pathogenesis thus paving the way for identification, and characterization of appropriate prophylactics as well as therapeutics for COVID-19 management.

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms

Background

The severity of coronavirus (COVID-19) in patients with chronic comorbidities is much higher than in other patients, which can lead to their death. Machine learning (ML) algorithms as a potential solution for rapid and early clinical evaluation of the severity of the disease can help in allocating and prioritizing resources to reduce mortality.

Objective

The objective of this study was to predict the mortality risk and length of stay (LoS) of patients with COVID-19 and history of chronic comorbidities using ML algorithms.

Methods

This retrospective study was conducted by reviewing the medical records of COVID-19 patients with a history of chronic comorbidities from March 2020 to January 2021 in Afzalipour Hospital in Kerman, Iran. The outcome of patients, hospitalization was recorded as discharge or death. The filtering technique used to score the features and well-known ML algorithms were applied to predict the risk of mortality and LoS of patients. Ensemble Learning methods is also used. To evaluate the performance of the models, different measures including F1, precision, recall, and accuracy were calculated. The TRIPOD guideline assessed transparent reporting.

Results

This study was performed on 1291 patients, including 900 alive and 391 dead patients. Shortness of breath (53.6%), fever (30.1%), and cough (25.3%) were the three most common symptoms in patients. Diabetes mellitus(DM) (31.3%), hypertension (HTN) (27.3%), and ischemic heart disease (IHD) (14.2%) were the three most common chronic comorbidities of patients. Twenty-six important factors were extracted from each patient's record. Gradient boosting model with 84.15% accuracy was the best model for predicting mortality risk and multilayer perceptron (MLP) with rectified linear unit function (MSE = 38.96) was the best model for predicting the LoS. The most common chronic comorbidities among these patients were DM (31.3%), HTN (27.3%), and IHD (14.2%). The most important factors in predicting the risk of mortality were hyperlipidemia, diabetes, asthma, and cancer, and in predicting LoS was shortness of breath.

Conclusion

The results of this study showed that the use of ML algorithms can be a good tool to predict the risk of mortality and LoS of patients with COVID-19 and chronic comorbidities based on physiological conditions, symptoms, and demographic information of patients. The Gradient boosting and MLP algorithms can quickly identify patients at risk of death or long-term hospitalization and notify physicians to do appropriate interventions.

Evaluation of the prevalence of illness anxiety disorder following the COVID-19 pandemic in Iran and its related factors: a cross-sectional study

Background and Aims

COVID-19 pandemic has generated a rise in psychological distress, such as illness anxiety disorder, apart from its negative physical effects. This study intends to the evaluation of illness anxiety disorder rate following the prevalence of COVID-19 in Iran and its associated factors.

Methods

In this study, 634 people were studied. The data collection method was performed via the virtual networks using a questionnaire, with the sampling method being convenient and nonprobable with the method of snowball. Evans illness anxiety disorder questionnaire was utilized in this investigation. The logistic regression model and the χ 2 were used to evaluate the data.

Results

The prevalence of illness anxiety disorder was 12.1%. The chance to have an illness anxiety disorder in the people whose relatives had a history of COVID-19 was 5.32 times, and in those who had a relative with a history of COVID-19 had higher (odds ratio = 1.27). But, this connection in people who worked or studied in nonmedical fields, is several times more than those who are busy in the medical fields. In individuals of 30 years and older, the chance of patients in single people compared to married people was 5.20 times higher, but under the age of 30 years, the chance of illness anxiety disorder in single people was 0.91.

Conclusion

COVID-19 pandemic, also to the physical effects, may have psychological implications for people. Therefore, reducing the individual and social activities in terms of this disease, along with measures related to physical problems, diagnosis, timely treatment and proper psychological consequences, including illness anxiety disorder can be very fruitful.

Do selected lifestyle parameters affect the severity and symptoms of COVID-19 among elderly patients? The retrospective evaluation of individuals from the STOP-COVID registry of the PoLoCOV study

BACKGROUND

Older individuals tend to include less physical activity in their routine and are more prone to chronic diseases and severe medical complications, making them the most burdened group that is losing years of life due to pandemic-related premature mortality. This research aimed to assess the lifestyle factors that affect the COVID-19 course among patients ≥ 65 years old.

METHODS

The study included 568 convalescents (64.1% women and 35.9% men) with persistent clinical symptoms after isolation. The mean age was 70.41 ± 4.64 years (minimum: 65 years; maximum: 89 years). The patients completed the questionnaire during their in-person visit to the medical center. The survey included questions regarding their health status when suffering from COVID-19, basic sociodemographic data, and medical history concerning chronic conditions and lifestyle.

RESULTS

Physical inactivity (p < 0.001) and feeling nervous (p = 0.026) increased the risk of having a severe disease course. Coronary artery disease raised both the risk of a severe disease course (p = 0.002) and the number of present symptoms up to 4 weeks (p = 0.039). Sleep disturbances increased the number of symptoms during infection (p = 0.001). The occurrence of any symptoms was also associated with the female sex (p = 0.004). The severity of the course was associated with longer persistent symptoms (p < 0.001) and a greater number of symptoms (p = 0.004); those with a more severe course were also at a greater risk of persistent symptoms for up to 4 weeks (p = 0.006). Senior citizens in the third pandemic wave suffered with more severe disease (p = 0.004), while illness during the fourth (p = 0.001) and fifth (p < 0.001) waves was associated with a lower risk of persistent symptoms for up to 4 weeks. The disease duration was significantly shorter among vaccinated patients (p = 0.042).

CONCLUSIONS

Elderly COVID-19 patients should re-think their lifestyle habits to consider a physical activity level that is adjusted to their abilities, in order to decrease the risk of a severe disease course and to further limit both the number and duration of symptoms. The research was carried out in accordance with the Declaration of Helsinki, and approval from the Bioethics Committee of Lodz Regional Medical Chamber to conduct the study was obtained (approval number 0115/2021). The PoLoCOV-Study ClinicalTrials.gov identifier is NCT05018052.

Comparative analysis of deep learning models for detecting face mask

The spread of Corona Virus Disease 19 (COVID-19) in Indonesia is still relatively high and has not shown a significant decrease. One of the main reasons is due to the lack of supervision on the implementation of health protocols such as wearing masks in daily activities. Recently, state-of-the-art algorithms were introduced to automate face mask detection. To be more specific, the researchers developed various kinds of architectures for the detection of masks based on computer vision methods. This paper aims to evaluate well-known architectures, namely the ResNet50, VGG11, InceptionV3, EfficientNetB4, and YOLO (You Only Look Once) to recommend the best approach in this specific field. By using the MaskedFace-Net dataset, the experimental results showed that the EfficientNetB4 architecture has better accuracy at 95.77% compared to the YOLOv4 architecture of 93.40%, InceptionV3 of 87.30%, YOLOv3 of 86.35%, ResNet50 of 84.41%, VGG11 of 84.38%, and YOLOv2 of 78.75%, respectively. It should be noted that particularly for YOLO, the model was trained using a collection of MaskedFace-Net images that had been pre-processed and labelled for the task. The model was initially able to train faster with pre-trained weights from the COCO dataset thanks to transfer learning, resulting in a robust set of features expected for face mask detection and classification.

Factors affecting the quality of life for patients with end-stage renal disease on dialysis in KwaZulu-Natal province, South Africa: A descriptive survey

Background

End-stage renal disease (ESRD) is a world-wide public health problem that requires renal replacement therapy in the form of dialysis. Although dialysis prolongs the patients' lifespan, it is not necessarily associated with an improved quality of life (QoL).

Aim

To determine the factors affecting the QoL of patients with ESRD on dialysis.

Setting

The study was conducted in three public sector hospitals in the province of KwaZulu-Natal.

Methods

A convenience sample of 316 participants was used. The World Health Organization - QoL Biomedical Research and Education Foundation (WHOQOL-BREF) instrument was used and adapted to include economic factors. Data were analysed using descriptive and inferential statistics.

Results

Majority had poor QoL through economic (98.1%), psychological (94.6%), physical (70.3%), and social factors (55.1%). Factors affecting their QoL were influenced by the type of dialysis, and statistical significances were noted in psychological and social factors (p < 0.0001), with those on peritoneal dialysis being affected the most. Overall, majority of patients (91.7%, n = 288) had a score of less than 50, which indicated poor QoL.

Conclusion

Poor QoL is associated with increased risk of mortality and hospitalisation in patients with ESRD and is mainly influenced by a broad range of dimensions of life.

Contribution

In addressing challenges encountered by patients, study findings may influence the policymakers to intervene in view of all the dimensions of QoL, to prolong life.

Time patterns of precautionary health behaviours during an easing phase of the COVID-19 pandemic in Europe

Using data from the COVID-19 questionnaire of the Survey of Health, Ageing and Retirement in Europe (SHARE), we investigate the time patterns of precautionary health behaviours of individuals aged 50 years and above during the summer of 2020, an easing phase of the COVID-19 pandemic in Europe. We also examine how these health behaviours differ by the presence of chronic conditions such as hypertension, high cholesterol level, heart disease, diabetes or chronic bronchitis, which can be considered as risk factors for COVID-19. Our results suggest that while on average, people became less precautious during the analysed time period, this is less so for those who are at higher risk. We also document large regional differences in precautionary health behaviours and show that higher-risk individuals are on average more cautious in all regions. We conclude that people adjusted their health behaviours in line with the generally understood risk of the COVID-19 disease. At the same time, our results also point out divergences in the level of willingness to take different precautionary steps.

Effect of asthma, COPD, and ACO on COVID-19: A systematic review and meta-analysis

INTRODUCTION

The prevalence of asthma, chronic obstructive pulmonary disease (COPD), and asthma-COPD overlap (ACO) in patients with COVID-19 varies, as well as their risks of mortality. The present study aimed to assess the prevalence of asthma, COPD, and ACO as comorbidities, and to determine their risks of mortality in patients with COVID-19 using a systematic review and meta-analysis.

METHODS

We systematically reviewed clinical studies that reported the comorbidities of asthma, COPD, and ACO in patients with COVID-19. We searched various databases including PubMed (from inception to 27 September 2021) for eligible studies written in English. A meta-analysis was performed using the random-effect model for measuring the prevalence of asthma, COPD, and ACO as comorbidities, and the mortality risk of asthma, COPD, and ACO in patients with COVID-19 was estimated. A stratified analysis was conducted according to country.

RESULTS

One hundred one studies were eligible, and 1,229,434 patients with COVID-19 were identified. Among them, the estimated prevalence of asthma, COPD, and ACO using a meta-analysis was 10.04% (95% confidence interval [CI], 8.79-11.30), 8.18% (95% CI, 7.01-9.35), and 3.70% (95% CI, 2.40-5.00), respectively. The odds ratio for mortality of pre-existing asthma in COVID-19 patients was 0.89 (95% CI, 0.55-1.4; p = 0.630), while that in pre-existing COPD in COVID-19 patients was 3.79 (95% CI, 2.74-5.24; p<0.001). France showed the highest prevalence of asthma followed by the UK, while that of COPD was highest in the Netherlands followed by India.

CONCLUSION

Pre-existing asthma and COPD are associated with the incidence of COVID-19. Having COPD significantly increases the risk of mortality in patients with COVID-19. These differences appear to be influenced by the difference of locations of disease pathophysiology and by the daily diagnosis and treatment policy of each country.

Exploring Perceived Barriers to Physical Activity in Korean Older Patients with Hypertension: Photovoice Inquiry

This study attempted to explore the barriers to physical activity of older patients with Hypertension. It aimed to provide robust evidence produced through their eyes. First, through the data analysis of the accelerometer and the decision of the research team, 10 out of the 30 applicants were invited to participate in a photovoice study. Photovoice is one example of participatory action research. Photovoice participants can communicate their unique experiences through photographs, providing a highly realistic and authentic perspective that is not possible to be understood with traditional qualitative research. This study inductively identified four main themes; health illiteracy, distortion of health information, fear of physical activity, and rejection of any life changes. Based on a specific understanding of the population's perception of physical activity, this study attempted to provide evidence of why many elderly Korean patients with Hypertension stay inactive.

Opposite Effect of Thyroid Hormones on Oxidative Stress and on Mitochondrial Respiration in COVID-19 Patients

Background: Thyroid hormones (TH)s are master regulators of mitochondrial activity and biogenesis. Nonthyroidal illness syndrome (NTIS) is generally considered an adaptative response to reduced energy that is secondary to critical illness, including COVID-19. COVID-19 has been associated with profound changes in the cell energy metabolism, especially in the cells of the immune system, with a central role played by the mitochondria, considered the power units of every cell. Infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affects and alters mitochondrial functions, both to influence its intracellular survival and to evade host immunity. Aim of the study: This study was undertaken to analyze the oxidative balance and mitochondrial respiration in COVID-19 patients with and without NTIS to elucidate the role that thyroid hormones (TH)s play in this context. Methods: In our cohort of 54 COVID-19 patients, admitted to our University Hospital during the COVID-19 pandemic, we evaluated the generation of reactive oxygen species (ROS) by measuring the serum levels of derivatives of reactive oxygen metabolites (dROMs), and we analyzed the antioxidant capacity by measuring the serum biological antioxidant potential (BAP). We then analyzed the mitochondrial respiration in peripheral blood mononuclear cells (PBMC)s of 28 of our COVID-19 patients, using the seahorse instrument (Agilent). Results were correlated with the serum levels of THs and, in particular, of FT3. In addition, the role of T3 on bioelectrical impedance analysis (BIA) and mitochondrial respiration parameters was directly evaluated in two COVID-19 patients with NTIS, in which treatment with synthetic liothyronine (LT3) was given both in vivo and in vitro. Results: In our COVID-19 patients with NTIS, the dROMs values were significantly lower and the BAP values were significantly higher. Consequently, the oxidative stress index (OSi), measured as BAP/dROMs ratio was reduced compared to that observed in COVID-19 patients without NTIS, indicating a protective role exerted by NTIS on oxidative stress. In our COVID-19 patients, the mitochondrial respiration, measured in PBMCs, was reduced compared to healthy controls. Those with NTIS showed a reduced maximal respiratory capacity and a reduced proton leak, compared to those with normal FT3 serum values. Such lowered mitochondrial respiratory capacity makes the cells more vulnerable to bioenergetic exhaustion. In a pilot study involving two COVID-19 patients with NTIS, we could reinforce our previous observation regarding the role of T3 in the maintenance of adequate peripheral hydroelectrolytic balance. In addition, in these two patients, we demonstrated that by treating their PBMCs with LT3, both in vitro and in vivo, all mitochondrial respiration parameters significantly increased. Conclusions: Our results regarding the reduction in the serum levels of the reactive oxygen species (ROS) of COVID-19 patients with NTIS support the hypothesis that NTIS could represent an adaptative response to severe COVID-19. However, beside this beneficial effect, we demonstrate that, in the presence of an acute reduction of FT3 serum levels, the mitochondrial respiration is greatly impaired, with a consequent establishment of a hypoenergetic state of the immune cells that may hamper their capacity to react to massive viral infection.

No significant increase in Guillain-Barré syndrome after COVID-19 vaccination in adults: A vaccine adverse event reporting system study

Objective

To investigate the association between Guillain-Barré syndrome (GBS) and COVID-19 vaccination.

Background

On July 13, 2021, the US Food and Drug Administration (FDA) released a new warning that Johnson & Johnson COVID-19 vaccine could increase the risk of developing GBS.

Methods

The reporting rate of adult GBS after COVID-19 vaccination, ascertained with Brighton criteria, was compared with the reporting rate after other vaccinations during the same time period, and also compared with the reporting rate during control periods. Statistical methods such as proportion tests, and Pearson’s chi-squared test were utilized to identify significant relationships. Self-controlled and case centered analyses were conducted. A machine learning model was utilized to identify the factors associated with a worse outcome defined as emergency room (ER) or doctor visits, hospitalizations, and deaths.

Results

The reporting rate of GBS after COVID-19 vaccination was significantly higher than after influenza and other vaccinations (49.7, 0.19, 0.16 per 10 million, p < 0.0001). However, the reporting rate was within the incidence range of GBS in the general population. Using self-controlled and case centered analyses, there was a significant difference in the reporting rate of GBS after COVID-19 vaccination between the risk period and control period (p < 0.0001). There was an estimated 0.7–1.7 per million excess reports of GBS within 6 weeks of COVID-19 vaccination. Machine learning model demonstrated that female gender and age between 18 and 44 are associated with worse outcome. No association was found between the onset interval of GBS and its prognosis.

Conclusions

Although the reporting rate of GBS after COVID-19 vaccination was not statistically different than that of the general population, the increased reporting of GBS within the first 6 weeks after COVID-19 vaccination, more so than with other vaccinations, suggests that some cases of GBS are temporally associated with COVID-19 vaccination. However, there is a reduction in the reporting rate of GBS after other vaccines, compared to reporting rates pre-COVID-19, highlighting limitations inherent in any passive surveillance system. These findings warrant continuous analysis of GBS after COVID-19 vaccination. Further improvement of the machine learning model is needed for clinical use.

Risk factors of SARS-CoV-2 infection in cancer patients pre- and post-vaccination

Background

Severe complications from COVID-19 and poor responses to SARS-CoV-2 vaccination were commonly reported in cancer patients compared to those without cancer. Therefore, the identification of predisposing factors to SARS-CoV-2 infection in cancer patients would assist in the prevention of COVID-19 and improve vaccination strategies. The literature lacks reports on this topic from the Kingdom of Saudi Arabia (KSA). Therefore, we studied clinical and laboratory data of 139 cancer patients from King Abdulaziz Medical City, Riyadh, KSA.

Methods

The cancer patients fall into three categories; (i) uninfected with SARS-CoV-2 pre-vaccination and remained uninfected post-vaccination (control group; n = 114; 81%), (ii) pre-vaccination infected group (n = 16; 11%), or (iii) post-vaccination infected group (n = 9; 6%). Next, the clinical and lab data of the three groups of patients were investigated.

Results

Comorbidity factors like diabetes and hemodialysis were associated with the risk of infection in cancer patients before the vaccination (p<0.05). In contrast to breast cancer, papillary thyroid cancer was more prevalent in the infected patients pre- and post-vaccination (p<0.05). Pre-vaccination infected group had earlier cancer stages compared with the control group (p = 0.01). On the other hand, combined therapy was less commonly administrated to the infected groups versus the control group (p<0.05). Neutrophil to lymphocyte ratio was lower in the post-vaccination infected group compared to the control group (p = 0.01).

Conclusion

Collectively, this is the first study from KSA to report potential risk factors of SARS-CoV-2 infection in cancer patients pre- and post-vaccination. Further investigations on these risk factors in a larger cohort are worthwhile to draw a definitive conclusion about their roles in predisposing cancer patients to the infection.

The Association of Opium Abuse with Mortality Amongst Hospitalized COVID-19 Patients in Iranian Population

Opioid abuse is a serious problem in the society. Since the first months of COVID-19 pandemic, several myths, rumors and misconceptions have been spread about the benefits of opium consumption for COVID-19 outcome. In addition, data are limited on the relationship between opium abuse and COVID-19 mortality amongst hospitalized COVID-19 patients. In this historical cohort study, we assessed the risks of several variables for mortality amongst all hospitalized COVID-19 patients from the beginning of COVID-19 pandemic in South of Iran from March 15th, 2021 to October 14th, 2021. Data was acquired from the Medical Care Monitoring Center (MCMC), affiliated to Shiraz University of Medical Sciences. A total of 64,427 hospitalized COVID-19 patients were included into the analysis. The mortality rate was 10.59% (n = 6756). Of all, 2030 (3.15%) patients—1702 males and 328 females—reported the positive history of opium abuse with a mean age of 57 ± 17.21 years. The results of multivariable risk showed that the positive history of opium abuse had a significant association with mortality (adjusted RR: 1.173; p = 0.007). Other significant predictive risk factors were male gender, elder ages, and comorbidities such as pulmonary diseases, cardiovascular disease, cancer, nephrological diseases, neurological diseases, and diabetes. However, being a health care worker and having thyroid gland diseases were protective factors amongst hospitalized COVID-19 patients (adjusted RR: 0.650 and 0.642; p = 0.040 and < .0001, respectively). Opium abuse is a risk factor for mortality amongst hospitalized COVID-19 patients. It is vital to educate societies about the consequences of unauthorized opium consumption.

A Calculator for COVID-19 Severity Prediction Based on Patient Risk Factors and Number of Vaccines Received

Vaccines have allowed for a significant decrease in COVID-19 risk, and new antiviral medications can prevent disease progression if given early in the course of the disease. The rapid and accurate estimation of the risk of severe disease in new patients is needed to prioritize the treatment of high-risk patients and maximize lives saved. We used electronic health records from 101,039 individuals infected with SARS-CoV-2, since the beginning of the pandemic and until 30 November 2021, in a national healthcare organization in Israel to build logistic models estimating the probability of subsequent hospitalization and death of newly infected patients based on a few major risk factors (age, sex, body mass index, hemoglobin A1C, kidney function, and the presence of hypertension, pulmonary disease, and malignancy) and the number of BNT162b2 mRNA vaccine doses received. The model’s performance was assessed by 10-fold cross-validation: the area under the curve was 0.889 for predicting hospitalization and 0.967 for predicting mortality. A total of 50%, 80%, and 90% of death events could be predicted with respective specificities of 98.6%, 95.2%, and 91.2%. These models enable the rapid identification of individuals at high risk for hospitalization and death when infected, and they can be used to prioritize patients to receive scarce medications or booster vaccination. The calculator is available online.

SELF-CARE AND QUALITY OF LIFE PEOPLE WITH TYPE 2 DIABETES DURING THE COVID-19: CROSS-SECTIONAL STUDY

Background

. Social distancing and emotional stress during the COVID-19 pandemic have affected the self-care management of type 2 diabetes mellitus patients. There was a shift in self-care management during the COVID-19 that will impact the quality of life of type 2 diabetes mellitus (T2DM) patients. This study aims to determine the relationship between self-care management and quality of life of T2DM patients in the community health center during the lockdown.

Methods

. This research was a quantitative study with a cross-sectional study approach. The sampling technique used a non-probability sampling with total sampling of 89 respondents. The instruments used in this study were WHO Quality of Life-BREF and Summary of Diabetes Self Care Activities.

Findings

The results showed a significant relationship between self-care management and the quality of life of people with type 2 diabetes (p = 0.000) with moderate strength and a positive direction.

Conclusions

People with diabetes coped well with their disease management which was supported by family and health professionals. Sustainable health education and motivation for patients and families are important so that the patients always carry out self-care management to improve the quality of life of type 2 diabetes mellitus patients.

Relationship between Sociodemographic Factors, Perceived COVID-19 Risk, and Engagement with Health Protective Behaviors

OBJECTIVES

This study describes the relationship between sociodemographic factors, chronic conditions, coronavirus disease 2019 (COVID-19) fears and stressors, and the perception of risk from COVID-19 and the use of health protective behaviors among Arkansans during the COVID-19 pandemic.

METHODS

Data collected from an online survey, administered in Arkansas between July and August 2020 (n = 1205), were used to estimate regressions. The data analysis was completed in April 2021.

RESULTS

Wearing a face mask was the most commonly reported behavior (97.4%), followed by handwashing (97.2%). Protective behaviors increased with higher levels of fear (β = 0.030, P < 0.001), more stressors (β = 0.057, P = 0.002), and age (β = 0.006, P = 0.030). Female (β = 0.510, P < 0.001) and Black (β = 0.268, P = 0.039) respondents reported engaging in more protective behaviors than males or other races/ethnicities.

CONCLUSIONS

In future pandemic planning, there will be a need to create messaging and interventions to increase health protective behaviors directed at young adults, men, and those with lower education levels. Providers will need to address fears related to COVID-19 and help their patients to manage those fears and anxieties.

Ratiometric Fluorescence Probe of Vesicle-like Carbon Dots and Gold Clusters for Quantitation of Cholesterol

We report a facile method for the preparation of vesicle-like carbon dots (VCDs) via dry-heating of surfactant solutions. Like most reported CDs, the VCDs possess interesting fluorescence properties. Entrapment of enzymes and gold nanoclusters (AuNCs) inside the VCDs allows for the development of fluorescent probes for the quantitation of various substrates, with the advantages of high sensitivity and selectivity. The AuNCs act as a probe, and the VCDs as an internal standard confine the AuNCs, enzyme, and analyte to provide high local concentrations to enhance the assay sensitivity. In this study, we employed cholesterol oxidase (ChOX) as a model enzyme for the quantitation of cholesterol. The as-formed hydrogen peroxide through the enzyme reaction inside the VCDs causes fluorescence quenching of AuNCs (excitation/emission wavelengths of 320/670 nm), but not that of the VCDs (excitation/emission wavelengths of 320/400 nm). To improve the sensitivity and linearity, the fluorescence ratios of AuNCs/VCDs are plotted against analyte concentration. The present ratiometric fluorescent method allows for the detection of hydrogen peroxide over the concentration range of 1–100 μM, with a detection limit of 0.673 μM, and cholesterol concentrations ranging from 5 to 100 μM, with a detection limit of 2.8 μM. The practicality of this fluorescent method has been further validated by evaluating cholesterol levels in human serum samples with sufficient accuracy and recovery, revealing its great prospective in diagnosis and biomedical applications.

Iranian patients co-infected with COVID-19 and mucormycosis: the most common predisposing factor, clinical outcomes, laboratory markers and diagnosis, and drug therapies

BACKGROUND

The newly emerged pandemic of coronavirus disease-2019 (COVID-19) is the world's main health challenge because infected patients become vulnerable to a variety of opportunistic diseases.

OBJECTIVE

This study aimed to assess clinical outcomes, diagnosis, utilized drug therapies, and ongoing COVID-19 practices in Iranian cases co-infected with COVID-19 and mucormycosis.

PARTICIPANTS AND METHODS

A case-series analysis was conducted in the presence of 10 patients with COVID-19 and mucormycosis co-infection (two men and eight women; mean age of 48.8 years) from March to October 2020. Demographic variables, signs/symptoms, and comorbidities of all patients were recorded. COVID-19 was confirmed with reverse transcription polymerase chain reaction (RT-PCR) nasopharyngeal swab tests and high-resolution computed tomography (HR-CT)_ scans.

RESULTS

All patients had a positive RT-PCR for SARS-CoV-2. Eight patients had a history of diabetes, while three of them exhibited a hypertension history. Remarkable laboratory findings were elevated fasting blood sugar in 6 cases and anaemia in four patients. A rhino-orbital-cerebral of mucormycosis in all patients was detected based on HR-CT scans and otorhinolaryngological or ophthalmological examinations. Neurological disorders including facial, trigeminal, optic, and oculomotor nerve involvement resulted in paraesthesia, pain, ptosis, no light perception, blurred vision, and papilledema in five cases. Maxillary and ethmoid sinuses were the most common sites of involvement.

CONCLUSION

Vulnerable COVID-19 patients with comorbidities, any facial involvements, or treated by excessive doses of glucocorticoids and antibiotics should undergo precise examinations during the appearance of early signs and hospitalization to diagnose and treat mucormycosis using the standard care and antifungal treatments.

Ethnic, clinical, and pharmacological predictors of high social dependence in COVID-19 patients admitted to post-acute care

The COVID-19 epidemic affected both acute hospitals and post-acute care, which experienced various degrees of overcrowding. We evaluated all the patients admitted to a post-acute care facility during the second wave of the epidemic to detect features possibly associated with social frailty. We analyzed the socio-demographic characteristics and comorbidities of the patients and the pattern of their previous hospitalization as available in their discharge letter. In addition, we evaluated their clinical features and tests on admission to post-acute care. We found that COVID-19 patients without social problems had distinctive features. Those with a higher need for specific pharmacological treatments during their stay in an acute hospital were less likely to be admitted to post-acute care for concomitant social problems ( p < 0.05 for all types of medication). They were also more likely to be native (p = 0.02), obese (p = 0.009), and with hypertension (p = 0.03). Patients with social problems usually stayed longer and were less frequently discharged home with a negative swab (p = 0.0009). In COVID-19 patients, recognition of distinctive features predicting that their need for a longer hospital stay is due to social problems can lead to more appropriate discharge and to more appropriate use of post-acute care.

Combinatorial influence of environmental temperature, obesity and cholesterol on SARS-CoV-2 infectivity

The continuing evolution of SARS-CoV-2 variants not only causes a long-term global health concerns but also encounters the vaccine/drug effectiveness. The degree of virus infectivity and its clinical outcomes often depend on various biological parameters (e.g., age, genetic factors, diabetes, obesity and other ailments) of an individual along with multiple environmental factors (e.g., air temperature, humidity, seasons). Thus, despite the extensive search for and use of several vaccine/drug candidates, the combinative influence of these various extrinsic and intrinsic risk factors involved in the SARS-CoV-2 virus infectivity has yet to be explored. Previous studies have reported that environment temperature is negatively associated with virus infectivity for SARS-CoV-2. This study elaborates on our previous findings, investigating the link between environmental temperature and other metabolic parameters, such as average total cholesterol and obesity, with the increase in COVID-19 cases. Statistical analysis conducted on a per country basis not only supports the existence of a significant negative correlation between environmental temperature and SARS-CoV-2 infections but also found a strong positive correlation between COVID-19 cases and these metabolic parameters. In addition, a multiphase growth curve model (GCM) was built to predict the contribution of these covariates in SARS-CoV-2 infectivity. These findings, for first time, support the idea that there might be a combinatorial impact of environmental temperature, average total cholesterol, and obesity in the inflation of the SARS-CoV-2 infectivity.

Diabetes, Metformin and the Clinical Course of Covid-19: Outcomes, Mechanisms and Suggestions on the Therapeutic Use of Metformin

Objectives: Pre-existing or new diabetes confers an adverse prognosis in people with Covid-19. We reviewed the clinical literature on clinical outcomes in metformin-treated subjects presenting with Covid-19. Methods: Structured PubMed search: metformin AND [covid (ti) OR covid-19 (ti) OR covid19 (ti) OR coronavirus (ti) OR SARS-Cov2 (ti)], supplemented with another PubMed search: "diabetes AND [covid OR covid-19 OR covid19 OR coronavirus (i) OR SARS-Cov2 (ti)]" (limited to "Clinical Study", "Clinical Trial", "Controlled Clinical Trial", "Meta-Analysis", "Observational Study", "Randomized Controlled Trial", "Systematic Review"). Results: The effects of metformin on the clinical course of Covid-19 were evaluated in retrospective analyses: most noted improved clinical outcomes amongst type 2 diabetes patients treated with metformin at the time of hospitalisation with Covid-19 infection. These outcomes include reduced admission into intensive care and reduced mortality in subgroups with versus without metformin treatment. Conclusion: The pleiotropic actions of metformin associated with lower background cardiovascular risk may mediate some of these effects, for example reductions of insulin resistance, systemic inflammation and hypercoagulability. Modulation by metformin of the cell-surface ACE2 protein (a key binding target for SARS-CoV 2 spike protein) via the AMP kinase pathway may be involved. While pre-existing metformin treatment offers potentially beneficial effects and can be continued when Covid-19 infection is not severe, reports of increased acidosis and lactic acidosis in patients with more severe Covid-19 disease remind that metformin should be withdrawn in patients with hypoxaemia or acute renal disease. Prospective study of the clinical and metabolic effects of metformin in Covid-19 is warranted.