Comorbid Chronic Diseases are Strongly Correlated with Disease Severity among COVID-19 Patients: A Systematic Review and Meta-Analysis

Long COVID Symptoms and Five Dimensions of HRQoL: A Retrospective Regional Study of Patients Recovered from COVID-19 Infection in Saudi Arabia

Background/Aim

10-20% of people infected with the coronavirus infection have long COVID symptoms, therefore, current research is the first regional assessment in Saudi Arabia to determine the relationship between long-term health complaints of COVID-19 survivors and health-related quality of life (HRQoL).

Methods

The study population comprised COVID-19 infection cases registered in the Ha'il region of Saudi Arabia from the beginning of the COVID-19 pandemic until September 2022. A retrospective research design was employed, and 295 participants completed a self-report questionnaire to assess long COVID symptoms and the Arabic version of the European 5-Dimensional Quality of Life (EQ-5D). Multiple linear regression was used to evaluate the predictive role of long COVID symptoms on the HRQoL of patients by choosing (p-value < 0.05).

Results

The mean (SD) age of the participants was 38 years, (67.1%) were male and (58.6%) were married. On the long COVID-19 symptoms, the highest mean values were fatigue (M=2.3; 95% CI 2.1-2.4) followed by headache (M=2.1; 95% CI 2.0-2.3) and persistent cough (M=1.9; 95% CI 1.8-2.1). Findings show that HRQoL was problematic in domains of pain/discomfort as depicted by a highest mean score on this domain (M=4.24; 95% CI 4.14-4.33) followed by anxiety/depression (M=4.17: 95% CI 4.08-4.27). Multiple regression analysis showed that marital status (p=0.05), irregular exercise (p<0.01), duration of hospitalization (p<0.01), and oxygen therapy (p<0.05) were the independent background factors affecting HRQoL post-COVID-19. Among the long-COVID-19 symptoms, fatigue (p=0.05), persistent cough (p=0.001), dyspnea (p=0.02), and sexual dysfunction (p<0.001) were the independent factors that impacted the HRQoL after controlling for background variables.

Conclusion

The study has significant implications for Saudi Arabia's Health Sector Transformation Program that could achieve its goals of human centric care and patient satisfaction though addressing the negative impacts of specific long-COVID symptoms such as fatigue, persistent cough, dyspnea and sexual dysfunction and improving the HRQoL in domains of pain/discomfort and anxiety/depression.

Undiagnosed hypertension and associated factors among older adults in Gedeo zone, southern Ethiopia: A mixed methods approach

BACKGROUND

Hypertension often goes undetected for years because its initial symptoms are usually subtle and easily overlooked. Undiagnosed hypertension is a significant contributor to the onset of cardiovascular disease, renal disease, and overall mortality. Although its prevalence increases with age, few studies have investigated the factors associated with undiagnosed hypertension in older adults. Therefore, this study aimed to identify factors influencing undiagnosed hypertension among older adults in the Gedeo zone, Southern Ethiopia.

METHODS

A study design incorporating a community-based cross-sectional study and qualitative inquiry as a complementary approach was carried out among 609 randomly selected older adults in the Gedeo zone from March 19 to May 20, 2023. A binary logistic regression model assessed the relationships between the outcome and explanatory variables, with statistical significance set at a p-value of < 0.05. The qualitative data were transcribed, translated into English, and analyzed using Open Code version 4.03.

RESULTS

The prevalence of undiagnosed hypertension among older adults was 39.24% (95% CI: 35.43%, 43.19%). The determinants that were found to have a significant relationship with undiagnosed hypertension were living in urban areas (AOR = 0.54, 95% CI: 0.34, 0.83), being able to read and write (AOR = 0.21, 95% CI: 0.11, 0.38), attending primary education and above (AOR = 0.53, 95% CI: 0.32, 0.87), not having a health seeking behavior (AOR = 2.26, 95% CI: 1.48, 3.43), being overweight or obese (AOR = 4.50, 95% CI: 2.74, 7.39), having chronic diseases (AOR = 1.72, 95% CI: 1.11, 2.66), and having a family history of hypertension (AOR = 1.90, 95% CI: 1.13, 3.21).

CONCLUSION

Our findings showed that about four out of 10 older adults in the Gedeo zone have had undiagnosed hypertension. This highlights the need for a comprehensive and precise screening program for these vulnerable population. In-depth interviews revealed that television programs and healthcare providers were major sources of information regarding hypertension and its prevention methods. Therefore, it is crucial to prioritize preventive interventions and develop appropriate programs focused on older adults. In particular, people with chronic diseases and a family history of hypertension should be taught and encouraged to undergo timely checkups.

[Negative affectivity in new mothers during the COVID-19 lockdown]

Background

Confinement due to health emergencies such as the coronavirus disease 19 (COVID-19) creates additional challenges for pregnant women (PW), negatively influencing their mental health.

Objective

To evaluate the presence of symptoms suggestive of depression (SSD), anxiety (SSA), and stress (SSS) and associated factors in PW during confinement due to the COVID-19 pandemic.

Material and methods

Analytical and prolific prevalence study carried out in hospitalized primigravidae PW, aged 14 to 41 years. Clinical, psychosocial, and sociodemographic data from the PM and medical records were collected, and the DASS-21 questionnaire was administered. Chi-square or Fisher's exact test, odds ratio (OR), and logistic regression were used.

Results

232 PW with a median age of 23 years (20-27) were included. The incidence of SSD was 37.07%, SSA 45.69%, SSS 35.78%. Risk factors for SSD were not having a partner: OR 2.12 (95% CI 1.15-3.93), p = 0.01, and having low socioeconomic status 3.06 (95% CI 1.70-5.49), p = 0.0001. In SSA, unemployment was 1.76 (1.04-2.96), p = 0.03. And for SES, basic education showed 0.49 (95% CI 0.28-0.88), p = 0.01, low socioeconomic status 1.80 (95% CI 1.01-3.22), p = 0.04, and comorbidities 2.15 (95% CI 1.04-4.44), p = 0.03.

Conclusion

During the COVID-19 lockdown, the frequency of SSD, SSA and SSS in primigravidae PW was high, and associated factors were not having a partner, low socioeconomic status, unemployment, and comorbidities.

Predictors of Mortality and Neurological Complications in a Large Cohort of Patients With COVID-19: A Retrospective Single-Center Cohort Study

OBJECTIVES

This study aimed to investigate the association between the baseline clinical and laboratory characteristics of patients with COVID-19 and their risk of subsequent development of neurological complications and mortality.

METHODS

This retrospective, single-center cohort study included patients with COVID-19 who presented to the Emergency Department of Razi Hospital. Patients' charts were reviewed to collect baseline clinical and laboratory data.

RESULTS

Of 2205 patients with COVID-19, 1473 (66.8%) developed various neurological complications in addition to other symptoms. Among the 168 patients who died, 66.66%, 43.5%, and 25% had a history of neurological disorders, encephalopathy, and stroke, respectively. Disease severity was significantly associated with comorbidities, hypoxemia, hypoalbuminemia, hypophosphatemia, elevated ESR, hypomagnesemia, stroke, and encephalopathy (P<0.05). The risk of death remained strongly linked to older age, comorbidities, severe infection, ICU admission, and extended hospitalization (P<0.05), even after adjustments, indicating they are potential confounders for other variables. More importantly, in non-critically ill patients, there was no significant association between the risk of death and hypoxemia, anemia, thrombocytopenia, hypomagnesemia, stroke, and encephalopathy (P>0.05). Moreover, the association between encephalopathy and other factors was greatly influenced by disease severity. Nonetheless, older age, comorbidities, and anemia remained significant predictors of stroke even after adjusting for confounders (P<0.05).

CONCLUSIONS

The high rates of neurological disorders among deceased patients with COVID-19 underscores the need for early prediction and management of these complications. Moreover, neurological disorders were linked to an increased risk of death because they tend to be present in critically ill patients admitted to the ICU with extended hospitalization.

Investigating the relationship between cycle threshold of SARS-CoV-2 RT-PCR, clinical features, and laboratory data in hospitalized COVID-19 patients in Semnan, Iran

Introduction

COVID-19, caused by the SARS-CoV-2 virus, has emerged as a global public health crisis. Understanding the factors associated with disease severity and outcomes is crucial for effective patient management. This study aimed to investigate the association between cycle threshold (CT) values, demographic data, medical history, clinical manifestations, and laboratory findings in hospitalized COVID-19 patients in Semnan, Iran.

Methods

A cross-sectional study was conducted on 86 patients with confirmed COVID-19 admitted to two hospitals in Semnan, Iran, between December 2022 and March 2023. Respiratory swab samples were collected RT-PCR was performed, CT values were obtained, and data were collected from medical records, including demographic information, medical history, clinical manifestations, and laboratory results. Statistical analysis was performed using SPSS software.

Results

The study included 86 COVID-19 patients, with a slightly higher representation of females (55.8%) and a mean age of 67.43 years. Pre-existing conditions like hypertension, diabetes mellitus, and ischemic heart disease were prevalent among hospitalized patients. A majority of patients (59.3%) had severe COVID-19, as indicated by lower CT values, while 31.4% exhibited oxygen saturation levels below 90%. Significant differences were observed in FBS, CRP, WBC, Hb, Cr, and SPo2 levels between severe and non-severe patients. Correlation analysis revealed associations between age, CRP, Cr, BUN, FBS, Vitamin D, TG, LDL, HDL, AST, ALP, and SPo2. Reflecting complex interactions between inflammatory markers, organ function, and lipid metabolism in COVID-19 patients.

Conclusion

This study provides valuable insights into the association between CT values, clinical characteristics, and laboratory findings in hospitalized COVID-19 patients. The findings underscore the importance of CT values in assessing disease severity and potential prognostication. Further research is warranted to validate these findings in larger and more diverse patient populations.

Assessment of serum biomarker changes following the COVID-19 pandemic and vaccination: a cohort study in Sylhet, Bangladesh

Objectives

Coronavirus 2019 (COVID-19) has spread throughout the world and the current COVID-19 vaccines have shown to be the most effective means of combating the COVID-19. This study focused to examine the status of serum biomarkers in individuals infected and non-infected with SARS-CoV-2, both before and after COVID-19 pandemic and vaccination.

Methods

This study comprised 133 adults aged 35 and older including both academic and non-academic personnel associated with Shahjalal University of Science and Technology in Sylhet, Bangladesh. Participants were evaluated before and after COVID-19 pandemic, as well as following two doses of vaccination. Blood samples were collected to measure different serum biomarkers, including fasting blood sugar (FBS), serum creatinine, serum alanine transaminase (ALT), total cholesterol (TC), triglyceride (TG), Low density lipoprotein-cholesterol (LDL-C), and High density lipoprotein-cholesterol (HDL-C). Statistical analysis was performed using SPSS software.

Result

In all participants, serum creatinine, FBS and TC levels significantly increased after two doses of vaccination (p = 0.022, 0.006, 0.05) compared to pre-vaccination levels. Notably, all serum biomarkers showed a significant elevation (p ≤ 0.05) in the self-reported SARS-CoV-2 infected group (n = 44). Additionally, 31% of participants were newly diagnosed with hyperglycemia after receiving the COVID-19 vaccine.

Conclusion

The findings indicate that both self-reported SARS-CoV-2 infection and COVID-19 vaccination could influence different serum biomarker levels. However, further comprehensive research is necessary to discern the precise factors contributing to the alterations observed in the serum biomarker levels for future health management strategy.

Role of viruses in periodontitis: An extensive review of herpesviruses, human immunodeficiency virus, coronavirus-19, papillomavirus and hepatitis viruses

Periodontitis is the inflammation of the supporting structures around the dentition. Several microbial agents, mostly bacteria, have been identified as causative factors for periodontal disease. On the other hand, oral cavity is a rich reservoir for viruses since it contains a wide variety of cell types that can be targeted by viruses. Traditionally, the focus of research about the oral flora has been on bacteria because the most widespread oral diseases, like periodontitis and dental caries, are outcomes of bacterial infection. However, recently and especially after the emergence of coronavirus disease 2019, there is a growing tendency toward including viruses also into the scope of oral microbiome investigations. The global high prevalence of periodontitis and viral infections may point out to a concomitant or synergistic effect between the two. Although the exact nature of the mechanism still is not clearly understood, this could be speculated through the manipulation of the immune system by viruses; hence facilitating the furthermore colonization of the oral tissues by bacteria. This review provides an extensive and detailed update on the role of the most common viruses including herpes family (herpes simplex, varicella-zoster, Epstein-Barr, cytomegalovirus), Human papillomaviruses, Human immunodeficiency virus and severe acute respiratory syndrome coronavirus 2 in the initiation, progression and prognosis of periodontitis.

Disparities in disaster healthcare: A review through a pandemic lens

OBJECTIVE

To provide an overview of the literature on the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare disparities in various groups, in relation to social determinants of health (SDOH) and longstanding social disparities.

DESIGN

The Disaster Preparedness and Response Committee of the American College of Emergency Physicians (ACEP) addressed the impact of health disparities in disaster planning and response. A workgroup composed of seven physicians with academic and deployment disaster medicine experience was formed. A literature review focusing on healthcare disparities during the COVID-19 pandemic was conducted. Search strategies included medical sources such as PubMed, Medline, and Google Scholar and nonmedical publications focused on COVID-19. The group combined the literature found and identified general themes. A framework using recognized SDOH was applied to organize the material and allow for ease of reporting. We also noted the unmet burden and challenges that underserved communities struggled with prior to the pandemic onset. The workgroups' report was presented to the ACEP Board of Directors.

RESULTS

COVID-19 significantly impacted groups burdened with poor SDOH to a much greater degree than the general population. Many healthcare disparities that existed prior to COVID-19 were worsened during the pandemic. Little information exists about how these inequities are being addressed.

CONCLUSIONS

COVID-19 magnified and more fully exposed healthcare disparities. These disparities, although common, can be partially mitigated. Efforts are needed to better understand healthcare disparities brought about by the COVID-19 pandemic and to find solutions to address future pandemics across all four phases of a disaster.

A systematic review and meta-analysis of physical exercise non-adherence and its determinants among type 2 diabetic patients in Ethiopia

INTRODUCTION

Physical exercise non-adherence is one of the leading risk behavioral factors for type two diabetic patients and one of the leading causes of mortality of patients worldwide. Therefore, the current study was conducted to determine the pooled prevalence and its determinants of non-adherence to physical exercise among type two diabetes adult patients in Ethiopia.

METHODS

Studies were searched systematically using International databases from PubMed, Google Scholar, Cochrane Library, Embase, and CINAHL. The quality of articles that were searched was assessed using the New Castle Ottawa scale for a cross-sectional study design. Statistical analysis was performed using STATA version 14 and a meta-analysis was carried out using a random effect model method. Assessment of the certainty evidence's was done by applying the GRADE method. The Preferred Reporting Item for Systematic Review and Meta-analyses (PRISMA) guideline was followed for reporting results. The title and the protocol of this meta-analysis were registered at the online database PROSPERO registration number CRD42023430579.

RESULT

From the total 1711 records screened, 7 studies with 3437 participants who fulfilled the inclusion criteria were included in this systematic review. The estimated pooled prevalence of exercise non-adherence in Ethiopia was 50.59%. Being female (OR = 1.27, 95% CI (1.82, 1.97)), primary level education (OR = 1.19, 95% CI (1.01, 1.39)) and rural residency (OR = 4.87, 95% CI (2.80, 8.48)) were significantly associated with exercise non-adherence.

CONCLUSION

According to papers evaluated by the GRADE assessment the certainty of evidence's was poor. More than half of the diabetes patients had physical exercise non-adherence. Strategies such as emotional support, health education, and emphasis on rural diabetic patients can improve the problem of non-adherence.

Correlation Between Self-reported or Supervised Physical Activity in Noncommunicable Diseases and Comorbidities During COVID-19 Pandemic: A Systematic Review

OBJECTIVE

The aim of the study is to systematically identify the protective and ameliorative effects of physical activity among people with noncommunicable diseases such as diabetes, cancer, chronic respiratory disease, chronic vascular disease, hypertension, and existing comorbidities during the coronavirus disease (COVID-19) pandemic.

METHODS

The trial is registered in the PROSPERO registry and used the PICO (population, intervention, comparison, and outcomes) strategy to perform the search strategy. Assessors analyzed related studies in the MEDLINE, PROQUEST, PubMed, Cochrane Library, CINAHL, Embase, Google Scholar, Physiotherapy Evidence, and Science Direct databases between December 2022 and January 2023. Researchers independently conducted a quality assessment of each study using a predeveloped quality assessment tool adapted from established tools for quantitative studies.

RESULTS

Eighteen trials were included (chronic vascular disease-7, diabetes-4, hypertension-1, cancer-3, and chronic respiratory disease-3). The total number of individuals included in the systematic review was 780,003, and the total with or without COVID-19 was 188,435. Qualitative rating by the Newcastle-Ottawa Score for cross-sectional and cohort studies and the Physiotherapy Evidence Database scale revealed fair to good evidence for physical activity as a tool to reduce complications.

CONCLUSIONS

There is evidence that exercise can protect people with noncommunicable diseases during the COVID-19 pandemic.Registration: Registered with Prospero registry.

The effect of pre-hospital use of RAS inhibitors on COVID-19 mortality

The effect of pre-hospital use of renin-angiotensin system (RAS) inhibitors (angiotensin-converting enzyme inhibitors (ACEis)/angiotensin receptor blockers (ARBs)) on clinical outcomes of hypertensive patients with COVID-19 has been questioned due to conflicting reports on this issue. After applying exclusion criteria, 175 COVID-19 hospitalized patients admitted to the Tishreen Hospital from January 1 to July 31, 2021 were retrospectively enrolled in this study. Baseline characteristics and in-hospital mortality rate were assessed between hypertensive (N = 91, 52%) and non-hypertensive (N = 84, 48%) patients, as well as between patients taking ACEis/ARBs and non-ACEis/ARBs within the hypertensive group. A lower mortality rate (51.2 versus 31.9%, p = 0.009) was observed in the hypertensive group (mean age 64.6 years, 64.8% males) compared to the non-hypertensive (mean age 62.6 years, 66.7% males). Patients' mortality in the non-hypertensive group was associated with lower blood oxygen saturation (SPO2 = 75 versus 86%, p = 0.002), increased levels of inflammatory (CRP, white blood cell and neutrophils count), and tissue/renal injury markers (LDH, urea, and creatinine). In the hypertensive group, a lower mortality rate was noted in the ACEis/ARBs group compared to the non-ACEis/ARBs (24.1 versus 45.5%, p = 0.036), and this was associated with a decrease in D-DIMER levels, although not significant (1723 versus 2683 ng/mL, p > 0.05). Death in the non-ACEis/ARBs group was associated with decreased SPO2 and tissue/renal injury markers (LDH, CK, AST, urea, and creatinine). We concluded that hypertension is not a direct cause of poor prognosis in COVID-19 patients and that multi-organ damage is a significant indicator of death from COVID-19. RAS inhibitors could improve the survival of hypertensive COVID-19 patients.

Trends and Patterns in Hypertension-Related Deaths: A Comprehensive Analysis Using Center for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Data

Hypertension (HTN) is a leading cause of cardiovascular morbidity and mortality worldwide. Despite advances in treatment, including the development and use of vasodilator-β-blocker combination and treatment with antihypertensive agents, HTN-related deaths have shown concerning trends. As such, the objective of this study is to examine the trends, disparities, and demographic variations in HTN-related mortality over a decade and to identify key factors contributing to these patterns, including genetics, dietary habits, structural discrimination in access to healthcare, lifestyle choices, and secondary hypertension, which is due to underlying conditions like kidney disease, hormonal disorders, or certain medications. To attain this objective, this retrospective study has utilized data from the Center for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database to assess HTN-related mortality rates from 2010 to 2020. Age-adjusted mortality rates were calculated, and subgroup analyses were conducted by gender, race/ethnicity, and age groups. Temporal trends were analyzed to identify significant changes in mortality rates over time. Moreover, IBM SPSS Statistics, version 29 (IBM Corp., Armonk, NY) was used in the analysis, while 95% confidence intervals (CIs), were calculated to demonstrate the temporary trend of mortality rates overall and by age, sex, ethnicity, and region. Therefore, the mortality data from 2010 to 2020 show significant trends and variations across demographic groups. Overall, HTN-related mortality rate in the United States increased from 5.1 per 100,000 in 2010 to 6.4 in 2020, reflecting a general upward trend. For males, the rate rose from 4.8 to 6.6 per 100,000 during the same period. Racial disparities are notable, with Black or African American individuals having the highest mortality rates, increasing from 9.6 to 11.2 per 100,000. Age-specific data reveal that mortality in the 65-74 age group more than doubled, from 10.3 to 16.2 per 100,000, while in the 75-84 age group, it rose from 32.1 to 35.7. The 85+ age group had the highest rates, increasing from 144.0 to 155.0 per 100,000. States with the highest age-adjusted rates include Mississippi, Georgia, West Virginia, California, and Alabama. The study findings highlight the growing burden of HTN-related mortality in the United States, particularly among males, racial minorities, and older adults. This situation underscores the need for targeted public health interventions, which include creation of hypertension awareness in minority groups and enhancing medication adherence especially among Blacks, and addressing the social determinants of health contributing to higher HTN rates and poorer outcomes, including disadvantaged neighborhoods, structural discrimination and racism, and limited access to healthcare. The study found that African Americans are likely to be diagnosed with HTN earlier in life with higher HTN-related mortality than Whites, and with 50% increased risk of cardiovascular disease mortality. Continuous efforts are required to aptly address such disparities contributing to ongoing HTN treatment and care inequalities.

Empowering Underserved Communities in Southern Puerto Rico: A Formal Training Program in Community Health Promotion

Community health promotion offers a potential solution to persistent healthcare challenges, with community health workers playing a pivotal role. The Community Training Institute for Health Disparities (CTIHD) implemented a problem-solving curriculum in Community Health Promotion, integrating a competency-based learning model through two courses: Introduction to Community Health Promotion and Design of an Action Plan for the Promotion of Community Health. Each course comprised ten three-hour sessions, featuring pre/post-tests, evaluations, and a cognitive debriefing. Knowledge change was assessed using pre/post-test scores among 27 community leaders from southern Puerto Rico. Cohort 1 and Cohort 2 demonstrated an overall retention rate of 62.6% and 96.7%, respectively. Although differences in knowledge gained between cohorts and courses weren't statistically significant, a trend toward increased knowledge was noted. Cohort 1 experienced a 22% knowledge increase in Course 1 and a 24% increase in Course 2. Cohort 2 demonstrated a 41% knowledge increase in Course 1 and a 25% increase in Course 2. The CTIHD's Community Health Promotion Program has made significant strides in elevating awareness and knowledge, marking a positive step toward reducing health disparities and fostering healthier, empowered communities in southern Puerto Rico.

Experienced discrimination and internalized stigma among people infected with SARS-CoV-2 and surviving COVID-19: Association with anxiety, depression, and insomnia symptoms

People surviving COVID-19 may experience social stigma related to their condition even after clinical recovery. This study aimed to: (1) investigate COVID-19-related experienced discrimination and internalized stigma, and (2) explore their association with symptoms of anxiety, depression, and insomnia. We conducted an online survey of people who survived COVID-19. Perception of stigma was assessed using the COVID-19 Experienced Discrimination Scale and the COVID-19 Internalized Stigma Scale. Depression, anxiety, and insomnia were assessed using, respectively, the Patient Health Questionnaire-9, the General Anxiety Disorder Scale-7, and the Insomnia Severity Index. Multivariable logistic regression analyses for each psychopathological domain were performed. A total of 579 participants participated in this study. Overall, 25% reported some degree of experienced discrimination, and 23% reported some degree of internalized stigma. Adjusted odds ratio showed that scoring higher on internalized stigma related significantly to higher symptoms of depression (2.14; 95% confidence interval [CI], 1.35-3.39), anxiety (2.30; 95% CI, 1.48-3.59), and insomnia (2.54; 95% CI, 1.64-3.95), whereas experienced discrimination was associated to anxiety (1.55; 95% CI, 1.06-2.28) and insomnia (1.82; 95% CI, 1.24-2.69). Experiences of social stigmatization are frequent among people surviving COVID-19 and seem to be associated with levels of psychological disturbances. Further research is required to elucidate the direction of these relationships to implement effective treatment strategies.

Evaluating the Governance Ability of Urban Public Health Using EM-AHP-TOPSIS Method: A Case Study in China

Background

Evaluating the governance capacity of urban public health is the key to improving the level of urban public health. We aimed to evaluate the governance ability of urban public health.

Methods

An index system of governance ability of urban public health was established. The governance ability of urban public health was evaluated, and major constraints against the ability improvement were analyzed through the EM (Entropy Method)-AHP (Analytic Hierarchy Process)-TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) model and data of urban agglomeration in Yangtze River Delta, China in 2023.

Results

Shanghai, Nanjing, Hangzhou, Suzhou, and Ningbo rank top 5 in terms of governance ability of public health, and they are in the first echelon. Hefei, Yancheng, Wuxi, Taizhou and Shaoxing rank 6-10, and they are in the second echelon. The remaining 17 cities are in the third echelon. Major sources of governance ability of urban public health and major factors that decrease governance ability are Medical Facility (A12), Health Improvement (A33), Medical Staff (A13), Government Ability (A11), and Health Loss (A34). For urban agglomeration in Yangtze River Delta, China, public health foundations, environmental exposure risks, public health performance, and public health emergencies all can influence the governance ability of public health.

Conclusion

Accurate evaluation of the governance ability of urban public health can provide guidance and policy propositions to improve the governance system of public health and improve the emergency coordination ability of the government.

A study on the correlation between lung injury severity and cardiac function through a closed-loop model

OBJECTIVE

Numerous clinical and pathological studies have confirmed that lung injury can cause cardiovascular disease, but there is no explanation for the mechanism by which the degree of lung injury affects cardiac function. We attempt to reveal this mechanism of influence by simulating a cyclic model.

METHOD

This study established a closed-loop cardiovascular model with a series of electrical parameters. Including the heart, lungs, arteries, veins, etc., each part of the cardiovascular system is modeled using centralized parameters. Adjusting these lung resistances to alter the degree of lung injury is aimed at reflecting the impact of different degrees of lung injury on cardiac function. Finally, analyze and compare the changes in blood pressure, aortic flow, atrioventricular volume, and atrioventricular pressure among different lung injuries to obtain the changes in cardiac function.

RESULTS

In this model, the peak aortic flow decreased, the earlier the trough appeared, and the total aortic flow decreased. Left atrial blood pressure decreased from 6.5 mmHg to around 5.5 mmHg, left ventricular blood pressure decreased from 100 mmHg to around 50 mmHg, and aortic blood pressure also decreased from 100 mmHg to around 50 mmHg. The blood pressure in the pulmonary artery, right atrium, and right ventricle increases. The right ventricular blood pressure decreased from 20 mmHg to around 40 mmHg, while the right atrial blood pressure slightly increased. It can be seen that the increase in impedance has a greater impact on ventricular blood pressure than on atrium. Pulmonary arterial pressure significantly increases, rising from 20 mmHg to around 50 mmHg, forming pulmonary hypertension. The left ventricular end-systolic potential energy, filling energy, stroke work, stroke output, left ventricular filling period, maximum blood pressure during ventricular ejection period, and stroke energy efficiency decrease.

CONCLUSION

We established a closed-loop cardiovascular model that reveals that the more severe lung injury, the higher blood pressure in the pulmonary artery, right atrium, and right ventricle, while the lower blood pressure in the left atrium, left ventricle, and aorta. The increase in pulmonary impedance leads to abnormalities in myocardial contraction, diastolic function, and cardiac reserve capacity, leading to a decrease in cardiac function. This closed-loop model provides a method for pre assessment of cardiovascular disease after lung injury.

Clinical Characteristics and Risk Factors of Mechanical Ventilation Among COVID-19 Patients on High-Flow Nasal Oxygen (HFNO)

INTRODUCTION

COVID-19 is a viral infection affecting the respiratory system, primarily. It has spread globally ever since it first appeared in China in 2019. The use of high-flow nasal oxygen (HFNO) for the treatment of COVID-19 has not been well established.

OBJECTIVES

The primary objectives of this study are to observe the success of HFNO in preventing escalation to mechanical ventilation (MV) and to measure the prevalence of HFNO in King Abdulaziz Medical City (KAMC). The secondary objective is to describe patients who received HFNO clinically.

METHODS

This is a retrospective cohort study of all polymerase chain reaction (PCR)-confirmed COVID-19 patients who require oxygen therapy in KAMC, Jeddah between March 1st, 2020, and December 31st, 2020. Any patients requiring MV on admission were excluded.

RESULTS

259 patients fit the inclusion criteria, and 25.5% of those included received HFNO. The number of non-survivors is 47 (18.1%). Mortality for HFNO, MV, and intensive care unit (ICU) are 30 (45.5%), 31 (60.8%), and 24 (32%), respectively. Their demographic was as follows; 160 were males, with a mean age of 60.93±15.01. Regarding the types of oxygen, low-flow nasal oxygen (LFNO) was administered to 243 out of the 259 patients, 66 received HFNO, 42 received MV, and 49 received other modes of ventilation. Additionally, 43.9% received HFNO escalated to MV. Patients who did not receive HFNO or MV were 178 (68.7%) in total.

CONCLUSION

The use of HFNO in COVID-19 patients could show better outcomes than MV in addition to preventing the use of MV. Larger studies are required to determine the efficacy of HFNO in COVID-19 patients.

Insights into parasites and COVID-19 co-infections in Iran: a systematic review

BACKGROUND

It is well-documented that using immunosuppressive drugs such as corticosteroids or cytokine blockers in treating coronavirus disease 2019 (COVID-19) increases the risk of co-infections. Here we systematically summarized the cases of COVID-19-associated parasitic infections (CAPIs) in Iran.

METHODS

From 19 February 2020 to 10 May 2023, all studies on Iranian patients suffering from CAPIs were collected from several databases using a systematic search strategy.

RESULTS

Of 540 records, 11 studies remained for data extraction. In this research, most of the studies were related to Lophomonas and Toxoplasma. Of 411 cases of CAPIs, toxoplasmosis (385 [93.7%]) had the highest rate of infection among Iranian patients, followed by blastocystosis (15 [3.6%]), fascioliasis (4 [0.97%]), leishmaniasis (3 [0.7%]), lophomoniasis (3 [0.7%]) and strongyloidiasis (1 [0.2%]). In general, Blastocystis enhanced diarrhoea in patients with COVID-19. Lophomonas, Toxoplasma and Strongyloides increased the severity of COVID-19, but Fasciola decreased its intensity. Patients with a history of cutaneous leishmaniasis showed mild symptoms of COVID-19. Also, patients with a prior history of hydatid cysts were not affected by COVID-19.

CONCLUSIONS

Due to the similar symptoms of some parasitic diseases and COVID-19 and immunosuppressive treatment regimens in these patients that may cause the reactivation or recurrence of parasitic infections, early diagnosis and treatment are required.

COVID-19-related dysfunctional anxiety and associated factors among adolescents in Southwest Ethiopia: a cross-sectional study

BACKGROUND

COVID-19 pandemic causes serious threats to people's mental health, particularly it has huge negative mental health outcomes for adolescents. However, there is lack of studies examining COVID-19-related anxiety among adolescents in Ethiopia. Hence, this study was aimed to examine COVID-19-related dysfunctional anxiety and its associated factors among adolescents in Mettu town.

METHODS

Community-based cross-sectional study was conducted from September 1 to 30, 2020 among 847 adolescents selected by stratified sampling technique. IBM SPSS Statistics Version 26.0 was used for analysis. Descriptive statistics such as frequency, percentage, mean, and standard deviation were computed. Bivariate and multivariate binary logistic regression analyses were done to identify factors associated with COVID-19-related dysfunctional anxiety. The statistical significance was declared at p ≤ 0.05; and the strength of association was described in terms of adjusted odds ratio.

RESULTS

Out of the total sample, 819 adolescents participated in this study. The mean age of the participants was 14.9 (SD = 2.798) years. The magnitude of COVID-19-related dysfunctional anxiety was found to be 20.9% (95% CI (18.1, 23.9)). The finding indicates that sex [(AOR (95% CI)); (0.724 (0.502, 1.043))], having both parents deceased [(AOR (95% CI)); (2.981 (1.138, 7.814))], living alone [(AOR (95% CI)); (2.363 (1.050, 5.321))], having unemployed mothers [(AOR (95% CI)); (1.943 (1.194, 3.163))], absence of close friend [(AOR (95% CI)); (0.377 (0.225, 0.630))], and medical problem [(AOR (95% CI)); (0.408 (0.278, 0.597))] were significantly associated with COVID-19-related anxiety.

CONCLUSION

The magnitude of COVID-19-related dysfunctional anxiety was found to be high in the study area. The findings have shown that the likelihood of developing COVID-19-related dysfunctional anxiety was linked to several factors. Provision of continued psychological support for adolescents is extremely encouraged.

Psychological distress among Brazilian workers during the initial stage of the COVID-19 pandemic: a descriptive study

Background

COVID-19 pandemic imposed drastic and abrupt changes to working environment and organization and that might have caused additional negative effects on mental health. Thus, this study aimed to quantify and assess the severity of psychological distress experienced by Brazilian essential and nonessential workers during the first months of the COVID-19 pandemic.

Methods

This descriptive study included 2,903 participants who answered an online questionnaire between April and May 2020. The research questionnaire was translated and culturally adapted to the Brazilian population from a questionnaire developed and validated for the Spanish population. Variables were analyzed using simple and cumulative percentage distributions and measures of central tendency and dispersion. The Wilson score interval was used to calculate confidence interval (CI) for the main outcome, psychological distress.

Results

It was observed a high prevalence (72.6%) of psychological distress among the study's participants. They also presented a median risk perception score of 60 (out of a maximum of 90), and their greatest concern was transmitting the virus to family members, close contacts or patients. Furthermore, it was found a lower sense of coherence and work engagement among the participants than those observed in previous studies conducted in other countries.

Conclusion

Almost three quarters of the study's participants were classified as presenting psychological distress. Thus, it is imperative to provide mental health remotely delivered interventions to workers during public health events that require prolonged social distancing measures.

Impact of the COVID-19 pandemic on the services provided by the Peruvian health system: an analysis of people with chronic diseases

During the pandemic, many individuals with chronic or infectious diseases other than COVID-19 were unable to receive the care they needed due to the high demand for respiratory care. Our study aims to assess the impact of the COVID-19 pandemic on services provided to people with chronic diseases in Peru from 2016 to 2022. We performed a secondary database analysis of data registered by the comprehensive health insurance (SIS), the intangible solidarity health fund (FISSAL), and private healthcare institutions (EPS), using interrupted time series analysis. Our study identified 21,281,128 individual users who received care. The pooled analysis revealed an average decrease of 1,782,446 in the number of users receiving care in the first month of the pandemic compared with the expected values for that month based on pre-pandemic measurements. In addition, during the pandemic months, there was an average increase of 57,911 in the number of new additional single users who received care per month compared with the previous month. According to the time-series analysis of users receiving care per month based on each chronic disease group, the most significant decreases included people with diabetes without complications and chronic lung disease.

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

Background

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

Objectives

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

Methods

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

Result

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

Conclusion

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

Immigrant mortality advantage in the United States during the first year of the COVID-19 pandemic

OBJECTIVES

To investigate the mortality impact of the COVID-19 pandemic on US-born and foreign-born populations by race and Hispanic origin in the United States in 2020.

METHODS

Death records from the National Center for Health Statistics and population data from CDC WONDER were used to estimate (1) age-standardized all-cause and cause-specific mortality at ages 25+, 25-64, and 65+ in 2017-2019 and 2020 by nativity, race, Hispanic origin, and sex; (2) changes in mortality between these two periods; and (3) the cause-specific contributions to these changes.

RESULTS

Mortality increased in 2020 relative to 2017-2019 for all racial and Hispanic-origin groups. Adjusting for age, mortality increases were larger at ages 25+ among foreign-born males (390 deaths for 100,000 residents) and females (189) than among US-born males (223) and females (144). The large mortality rise among foreign-born Hispanic men (593) contributed to the narrowing of their mortality advantage relative to White men, from 426 to 134. An increase in mortality among both foreign-born and US-born Black males and females increased the Black-White mortality disparities by 318 for males and by 180 for females. Although COVID-19 mortality was the main driver of the increase among foreign-born residents, circulatory diseases and malignant neoplasms also contributed.

CONTRIBUTION

We show that the COVID-19 pandemic had a greater impact on foreign-born populations than on their US-born counterparts. These findings highlight the need to address the underlying inequalities and unique challenges faced by foreign-born populations.

Tixagevimab and Cilgavimab (Evusheld) Boosts Antibody Levels to SARS-CoV-2 in End-Stage Renal Disease Patients on Chronic Hemodialysis: A Single-Center Study

Background and Objectives: In addition to a suboptimal and rapidly diminishing response to the coronavirus disease 2019 (COVID-19) vaccine, hemodialysis (HD) patients are at risk for developing a severe COVID-19 infection. In 2022, the combination of cilgavimab and tixagevimab (Evusheld, AstraZeneca) was approved for COVID-19 preexposure prophylaxis in high-risk groups. The purpose of this study was to evaluate the humoral response and short-term safety of this antibody combination in a group of HD patients. Materials and Methods: Seventy-three adult maintenance hemodialysis patients were recruited from a tertiary-care hospital for this double-blinded, non-randomized, placebo-controlled study. Patients were placed into two groups: the intervention group (n = 43) received a single 300 mg dosage of cilgavimab and tixagevimab, while the control group (n = 30) received a saline placebo. The titer of COVID-19-neutralizing antibodies was measured at baseline and after 1 and 6 months. The patients were evaluated for any drug-related adverse effects and monitored for six months for the emergence of any COVID-19-related events. Results: Patients in the intervention group were substantially older and had been on HD for longer (p = 0.002 and 0.006, respectively). The baseline antibody levels were higher in the Evusheld group. The antibody level in the intervention group increased significantly after 1 month and remained consistent for 6 months, whereas the antibody level in the control group fell significantly after 6 months during the study period (Wald χ2 = 30.620, p < 0.001). The drug-related adverse effects were modest and well-tolerated, and only seven patients experienced them. Six months after study enrollment, 10 patients in the intervention group and 6 patients in the control group had been infected with COVID-19, respectively. In the control group, ICU admission and mortality were observed, but in the intervention group, the infection was milder with no aggressive consequences. Conclusions: This study demonstrated the short-term safety and efficacy of tixagevimab-cilgavimab for COVID-19 preexposure prophylaxis in HD patients. These findings require more studies with more HD patients and longer follow-up periods.

Spatio-temporal patterns of the mortality of diseases associated with malnutrition and their relationship with food establishments in Mexico

This study explores the spatio-temporal behavior of mortality due to multiple causes associated with several diseases and their relationship with the physical availability of food. We analyze data for the 2010-2020 period at the municipality level in Mexico. After collecting and standardizing national databases for each disease, we perform SATSCAN temporal and FleXScan spatial cluster analyses. We use the he Kruskal-Wallis test to analyze the differences between municipalities with high relative risk of mortality and their relationship with food retail units and food establishments. We found statistically significant relationships between clusters by disease and the physical availability of food per hundred thousand inhabitants. The main pattern is a higher average density of convenience stores, supermarkets, fast food chains and franchises, and Mexican snack restaurants in high-risk municipalities, while a higher density of grocery stores and inns, cheap kitchens, and menu restaurants exists in the municipalities with low risk. The density of convenience stores, fast food chains and franchises, and Mexican snack restaurants plays a very important role in mortality behavior, so measures must exist to regulate them and encourage and protect convenience stores, grocery stores, and local food preparation units.

A network meta-analysis of association between cardiometabolic risk factors and COVID-19 outcome severity

BACKGROUND

Cardiometabolic comorbidities have been associated with a higher risk of COVID-19 severity and mortality, but more investigations are needed to determine which comorbidity is more detrimental.

METHODS

Embase, Emcare, and MEDLINE were searched systematically for prospective and retrospective studies assessing the associations of cardiometabolic risk factors and COVID-19 outcomes of hospitalization, severity, and mortality among COVID-19-diagnosed patients. Literature search was performed from first publication to May 19, 2021. Study quality was assessed by the Newcastle-Ottawa Scale.

RESULTS

From the literature search, 301 studies suggested that all included cardiometabolic risk factors were associated with a higher risk of COVID-19 hospitalization, severity, and mortality, except that overweight was associated with a decreased risk of mortality (relative risk [RR] 0.88; 95% CI, 0.80-0.98). Patients with diabetes (RR 1.46; 95% CI, 1.45-1.47) were most likely to be hospitalized; patients with heart failure had the highest risk for severe COVID-19 outcomes (RR 1.89; 95% CI, 1.71-2.09); while patients with stroke were most susceptible to overall mortality (RR 1.99; 95% CI, 1.90-2.08). In the network meta-analysis, cerebrovascular disease had the highest impact (RR 1.69; 95% CI, 1.65-1.73) on COVID-19 outcomes compared to other cardiometabolic risk factors. For different combinations of risk factors, cardiovascular disease and diabetes combined (RR 6.98; 95% CI, 5.28-9.22) was more detrimental than others.

CONCLUSIONS

Considering the high prevalence of cardiometabolic comorbidities and risk of all severe outcomes, patients with cardiometabolic comorbidities should be prioritized in vaccination and treatment development of COVID-19.

Investigation of Initial Viral Loads and Patient Characteristics as Predictors of COVID-19 Outcomes: A Retrospective Cohort Study

Limited evidence exists on whether initial viral load and patient characteristics can predict unfavorable outcomes in future outbreaks of coronavirus disease 2019 (COVID-19). This retrospective cohort study examined the relationship between the initial viral load, patient characteristics, and outcomes during the second-wave COVID-19 outbreak in West Sumatra, Indonesia. We analyzed the COVID-19 patients admitted to a secondary hospital between the 1 June 2021 and the 31 August 2021. The initial viral load was determined using the real-time quantitative-polymerase chain reaction (RT-qPCR) cycle threshold (Ct) value, categorized as low (LIVL, Ct > 20) or high (HIVL, Ct ≤ 20). Multivariate logistic regression was used to assess the relationship between the initial viral load, age, sex, vaccination status, comorbidities, and outcomes, including disease severity, hospital stay length, ICU admission, invasive ventilation, and in-hospital mortality. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to assess the diagnostic performance of the initial Ct values in predicting COVID-19 outcomes. The study included 373 patients (median age [range]: 48 [0-94]; male: 40.21%; HIVL: 34.85%; unvaccinated: 86.06%; comorbidities: 52.01%). The HIVL patients significantly had a lower risk of developing severe/critical outcomes (OR: 0.506; 95% CI: 0.310-0.825; p = 0.006) and needing invasive ventilation (OR: 0.290; CI: 0.098-0.854; p = 0.025). The Ct value used to indicate severe/critical outcomes was 23.57. More severe outcomes were significantly observed in LIVL patients, those aged >60 years, males, unvaccinated individuals, and those with comorbidities. This study emphasizes the importance of primary prevention, early screening, and immediate care for COVID-19 in saving lives.

Prevalence and Predictors of Long COVID in Patients Accessing a National Digital Mental Health Service

MindSpot is a national mental health service that provides assessments and treatment to Australian adults online or via telephone. Since the start of 2020, questions related to the mental health impacts of COVID-19 have been routinely administered. The objective of the current study is to report the prevalence and predictors of self-reported "long COVID" in patients completing an assessment at the MindSpot Clinic between 5 September 2022 and 7 May 2023 (n = 17,909). Consistent with the World Health Organization definition, we defined long COVID as the occurrence of ongoing physical or mental health symptoms three months after a COVID-19 infection. We conducted a descriptive univariate analysis of patients who reported: no COVID-19 diagnosis (n = 6151); a current or recent (within 3 months) COVID-19 infection (n = 2417); no symptoms three months post-COVID-19 infection (n = 7468); or COVID-related symptoms at least three months post-infection (n = 1873). Multivariate logistic regression was then used to compare patients with and without symptoms three months post-COVID to identify potential predictors for long COVID. The prevalence of long COVID was 10% of the total sample (1873/17909). Patients reporting symptoms associated with long COVID were older, more likely to be female, and more likely to be depressed and report a reduced ability to perform their usual tasks. Sociodemographic factors, including cultural background, education, and employment, were examined. These results provide evidence of the significant prevalence of symptoms of long COVID in people using a national digital mental health service. Reporting outcomes in an Australian context and in specific sub-populations is important for public health planning and for supporting patients.

NETosis induction reflects COVID-19 severity and long COVID: insights from a 2-center patient cohort study in Israel

BACKGROUND

COVID-19 severity and its late complications continue to be poorly understood. Neutrophil extracellular traps (NETs) form in acute COVID-19, likely contributing to morbidity and mortality.

OBJECTIVES

This study evaluated immunothrombosis markers in a comprehensive cohort of acute and recovered COVID-19 patients, including the association of NETs with long COVID.

METHODS

One-hundred-seventy-seven patients were recruited from clinical cohorts at 2 Israeli centers: acute COVID-19 (mild/moderate, severe/critical), convalescent COVID-19 (recovered and long COVID), along with 54 non-COVID controls. Plasma was examined for markers of platelet activation, coagulation, and NETs. Ex vivo NETosis induction capability was evaluated after neutrophil incubation with patient plasma.

RESULTS

Soluble P-selectin, factor VIII, von Willebrand factor, and platelet factor 4 were significantly elevated in patients with COVID-19 versus controls. Myeloperoxidase (MPO)-DNA complex levels were increased only in severe COVID-19 and did not differentiate between COVID-19 severities or correlate with thrombotic markers. NETosis induction levels strongly correlated with illness severity/duration, platelet activation markers, and coagulation factors, and were significantly reduced upon dexamethasone treatment and recovery. Patients with long COVID maintained higher NETosis induction, but not NET fragments, compared to recovered convalescent patients.

CONCLUSIONS

Increased NETosis induction can be detected in patients with long COVID. NETosis induction appears to be a more sensitive NET measurement than MPO-DNA levels in COVID-19, differentiating between disease severity and patients with long COVID. Ongoing NETosis induction capability in long COVID may provide insights into pathogenesis and serve as a surrogate marker for persistent pathology. This study emphasizes the need to explore neutrophil-targeted therapies in acute and chronic COVID-19.

Longitudinal associations of chronic health stress and COVID-19-related anxiety among outpatients with anxiety and mood disorders

BACKGROUND

The 2019 coronavirus (COVID-19) pandemic led to elevated levels of psychological distress on a global scale. Given that individuals with pre-existing physical conditions are at risk for worse COVID-19 outcomes, those dealing with the stress of physical health problems (including knowing someone with health problems) may experience more severe distress during the pandemic.

METHODS

Patients with emotional disorders who completed a diagnostic assessment in the 6 months prior to COVID-19 were surveyed in May-June 2020 on their emotional reactions to COVID-19 (N = 77).

RESULTS

Multiple linear regression was used to test the hypothesis that chronic stress due to having and knowing others with physical health problems would predict COVID-related worries and behaviours, holding pre-COVID levels of depression, anxiety and worry about health constant. Chronic stress surrounding the health of others was significantly associated with experiencing more severe COVID-related worry and behaviours. In comparison, chronic stress due to one's own health problems had weak and non-significant associations with COVID-related worries and behaviours.

CONCLUSIONS

Results indicate that outpatients who report stress about surrounding loved one's health are at risk for experiencing more severe distress during a health pandemic and thus, may benefit from targeted outreach, assessment and intervention.

Relationship between periodontitis and COVID-19: A bidirectional two-sample Mendelian randomization study

Background and Aims

Coronavirus disease (COVID-19) is a major danger to world health and has been linked to periodontitis in a number of epidemiological observational studies. However, it is unclear whether COVID-19 causes periodontitis. COVID-19's causal influence on periodontitis was determined using bidirectional Mendelian randomization (MR).

Methods

Large-scale COVID-19 and periodontitis genome wide association study data were analyzed. Inverse variance weighting, MR-Egger, weighted median, and MR-PRESSO were used to estimate causal effects. Sensitivity studies were conducted using the Cochran's Q test, the MR-Egger intercept test, the MR-PRESSO, and the leave-one-out (LOO) analysis. Further investigation of potential mediating factors was performed using risk factor analysis.

Results

The MR presented no causal relationship between periodontitis and hospitalization for COVID-19 (odds ratio [OR] = 0.97, 95% confidence interval [CI] 0.78-1.20; p = 0.76), vulnerability to COVID-19 (OR = 1.04, 95% CI 0.88-1.21; p = 0.65), COVID-19 disease severity (OR = 1.01, 95% CI 0.92-1.11; p = 0.81). Meanwhile, a noncausal effect of genetic hospitalization for COVID-19, illness severity, and vulnerability to periodontitis was detected. Other MR methods yielded identical results to inverse variance weighting. According to sensitivity analysis, horizontal pleiotropy is unlikely to affect causal estimation.

Conclusion

Periodontitis had no link to the risk of COVID-19 hospitalization, susceptibility, or severity. However, the substance in COVID-19 that is responsible for this effect must be studied further.

Environmental and Mobility Strategies During Early COVID-19: Insights From an Empirical Study Focusing on Park Visitations in El Paso, TX

OBJECTIVES

We explored the importance of environmental and mobility strategies during early COVID-19 by age and ethnicity and investigated predictors of park visitations considering the COVID-19 impacts.

BACKGROUND

Parks are safe and accessible venues to stay active and reduce social isolation, which is especially important considering COVID-19 and the associated lockdowns.

METHODS

We analyzed online survey data from 683 residents (collected July 2020) of El Paso, TX, and objective measures of neighborhood park characteristics. Chi-square tests and mixed-effects logistic regression analyses were performed to examine the environmental/mobility strategies, personal and environmental factors, and park visitations, considering the COVID-19 impacts.

RESULTS

The percentage of those who visited (1+ times/week) parks or trails/paths in the neighborhood dropped from 41.7% to 19.5% since the start of COVID-19 (OR = 0.015, p < .001). Before COVID-19, middle-aged and older adults were less likely to visit parks than younger adults, while this difference became insignificant during early COVID-19. Hispanic adults were more likely to visit parks than non-Hispanics both before and during early COVID-19. Positive environmental predictors of park visitations included park availability in the neighborhood, proximity to the closest park, seeing people being physically active in the neighborhood, and neighborhood aesthetics.

CONCLUSIONS

Proximately located parks, trails, and paths well integrated into residential communities, and high aesthetic quality of the neighborhood are the potential features of pandemic-resilient communities and should be considered an important national priority to maintain and promote the health and well-being of the population, especially during pandemics like COVID-19.

The Effects of COVID-19 Lockdown on Social Connectedness and Psychological Distress in U.S. Adults with Chronic Diseases

Lockdown measures enacted in 2020 to control the spread of COVID-19 led to increases in the prevalence of mental health problems. Due to their high-risk status, individuals with chronic diseases may be at increased risk and disproportionately adversely affected by the COVID-19 pandemic. The investigators examined associations between having a high-risk chronic condition, social connectedness, and general distress and COVID-19-specific distress among U.S. adults during the COVID-19 lockdown. Baseline measures of a longitudinal survey collected at the beginning of the pandemic (April to June 2020) were analyzed to identify factors associated with loss of social connectedness from pre- to post-lockdown. The associations between social connectedness and both general and COVID-19-specific psychological distress were adjusted for certain high-risk chronic illnesses and interaction effects. The sample available for analysis included 1354 subjects (262 high-risk chronic diseases and 1092 without chronic illness). Those reporting the loss of social connectedness were younger (median = 39 vs. 42) and more likely to be unemployed because of the pandemic (19.4% vs. 11.0%). Adjustment for interaction demonstrated a stronger negative association between social connectedness change and the psychosocial impact of COVID-19 for those with high-risk illness(es) (change in connectedness*chronic illness OR = 0.88, 95%CI: 0.79-0.98, p = 0.020). These findings inform our understanding of the distribution and intersection of responses to public health lockdown orders in the U.S. and build further evidence of the importance of social connectedness on psychological distress.

Epidemiological intelligence community network intervention: a community response for COVID-19 community transmission

BACKGROUND

Expanding and providing access to early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through testing community-based strategies among socially vulnerable communities (SVC) are critical to reducing health disparities. The Epidemiological Intelligence Community Network (EpI-Net) community-based intervention sought to increase coronavirus 2019 (COVID-19) testing uptake and prevention practices among SVC in Puerto Rico (PR). We evaluated EpI-Net's community leaders' capacity-building component by assessing pre-post COVID-19 public health workshops' tests' score changes and satisfaction among trained community leaders.

METHODS

A total of 24 community leaders from SVC in PR have completed four community workshops. Pre- and post-assessments were completed as part of the health promotors training program to evaluate participants' tests score changes and satisfaction outcomes.

RESULTS

Preliminary results showed: (1) high intervention retention levels of community leaders (85.7% acceptance rate); (2) change in post-test scores for community engagement strategies (p = 0.012); (3) change in post-test educational scores in COVID-19 prevention practices (p = 0.014); and (4) a change in scores in public health emergency management strategies (p < 0.001).

CONCLUSIONS

The overall workshop satisfaction was 99.6%. Community leaders have shown the importance of community capacity building as a key component for intervention feasibility and impact.

TRIAL REGISTRATION

Our study was retrospectively registered under the ClinicalTrial.gov ID NCT04910542.

The severity of COVID-19 across the spectrum of HIV

PURPOSE OF REVIEW

We review the intersection between the HIV and COVID-19 pandemics, particularly the impact of HIV infection on the development of severe COVID-19.

RECENT FINDINGS

Studies early in the COVID-19 pandemic did not find a clear link between HIV infection and increased COVID-19 severity or mortality. People with HIV (PWH) were more likely to have severe COVID-19, but much of the risk for worse outcomes was related to high rates of comorbidities and social determinants of health. Although comorbidities and social determinants of health are certainly critically important reasons for severe COVID-19 among PWH, recent large studies have found HIV infection - particularly when the CD4 cell count is low or HIV RNA is not suppressed - is an independent risk factor for COVID-19 severity. The link between HIV and severe COVID-19 highlights the need to diagnose and treat HIV as well as the importance of COVID-19 vaccination and treatment among PWH.

SUMMARY

People with HIV have faced increased challenges during the COVID-19 pandemic because of high rates of comorbidities and social determinants of health as well as the impact of HIV on COVID-19 severity. Information on the intersection of the two pandemics has been crucial to improving care for people with HIV.

The role of explainable Artificial Intelligence in high-stakes decision-making systems: a systematic review

A high-stakes event is an extreme risk with a low probability of occurring, but severe consequences (e.g., life-threatening conditions or economic collapse). The accompanying lack of information is a source of high-stress pressure and anxiety for emergency medical services authorities. Deciding on the best proactive plan and action in this environment is a complicated process, which calls for intelligent agents to automatically produce knowledge in the manner of human-like intelligence. Research in high-stakes decision-making systems has increasingly focused on eXplainable Artificial Intelligence (XAI), but recent developments in prediction systems give little prominence to explanations based on human-like intelligence. This work investigates XAI based on cause-and-effect interpretations for supporting high-stakes decisions. We review recent applications in the first aid and medical emergency fields based on three perspectives: available data, desirable knowledge, and the use of intelligence. We identify the limitations of recent AI, and discuss the potential of XAI for dealing with such limitations. We propose an architecture for high-stakes decision-making driven by XAI, and highlight likely future trends and directions.

The Effects of Race/Ethnicity, Age, and Area Deprivation Index (ADI) on COVID-19 Disease Early Dynamics: Washington, D.C. Case Study

The COVID-19 pandemic and its associated mitigation strategies have significant psychosocial, behavioral, socioeconomic, and health impacts, particularly in vulnerable US populations. Different factors have been identified as influencers of the transmission rate; however, the effects of area deprivation index (as a measure of social determinants of health, SDoH) as a factor on COVID-19 disease early dynamics have not been established. We determined the effects of area deprivation index (ADI) and demographic factors on COVID-19 outcomes in Washington, D.C. This retrospective study used publicly available data on COVID-19 cases and mortality of Washington, D.C., during March 31st-July 4th, 2020. The main predictors included area deprivation index (ADI), age, and race/ethnicity. The ADI of each census block groups in D.C. (n=433) were obtained from Neighborhood Atlas map. Using a machine learning-based algorithm, the outcome variables were partitioned into time intervals: time duration (Pi, days), rate of change coefficient (Ei), and time segment load (Pi×Ei) for transmission rate and mortality. Correlation analysis and multiple linear regression models were used to determine associations between predictors and outcome variables. COVID-19 early transmission rate (E1) was highly correlated with ADI (SDoH; r= 0.88, p=0.0044) of the Washington, D.C. community. We also found positive association between ADI, age (0-17 years, r=0.91, p=0.0019), and race (African American/Black, r=0.86; p=0.0068) and COVID-19 outcomes. There was high variability in early transmission across the geographic regions (i.e., wards) of Washington, D.C., and this variability was driven by race/ethnic composition and ADI. Understanding the association of COVID-19 disease early transmission and mortality dynamics and key socio-demographic risk factors such as age, race, and ADI, as a measure of social determinants, will contribute to health equity/equality and distribution of economic resources/assistance and is essential for future predictive modeling of the COVID-19 pandemic to limit morbidity and mortality.

Plasma Proteomics Unveil Novel Immune Signatures and Biomarkers upon SARS-CoV-2 Infection

Several elements have an impact on COVID-19, including comorbidities, age and sex. To determine the protein profile changes in peripheral blood caused by a SARS-CoV-2 infection, a proximity extension assay was used to quantify 1387 proteins in plasma samples among 28 Finnish patients with COVID-19 with and without comorbidities and their controls. Key immune signatures, including CD4 and CD28, were changed in patients with comorbidities. Importantly, several unreported elevated proteins in patients with COVID-19, such as RBP2 and BST2, which show anti-microbial activity, along with proteins involved in extracellular matrix remodeling, including MATN2 and COL6A3, were identified. RNF41 was downregulated in patients compared to healthy controls. Our study demonstrates that SARS-CoV-2 infection causes distinct plasma protein changes in the presence of comorbidities despite the interpatient heterogeneity, and several novel potential biomarkers associated with a SARS-CoV-2 infection alone and in the presence of comorbidities were identified. Protein changes linked to the generation of SARS-CoV-2-specific antibodies, long-term effects and potential association with post-COVID-19 condition were revealed. Further study to characterize the identified plasma protein changes from larger cohorts with more diverse ethnicities of patients with COVID-19 combined with functional studies will facilitate the identification of novel diagnostic, prognostic biomarkers and potential therapeutic targets for patients with COVID-19.

Indigenous peoples and the COVID-19 pandemic: a systematic scoping review

Past influenza pandemics including the Spanish flu and H1N1 have disproportionately affected Indigenous Peoples. We conducted a systematic scoping review to provide an overview of the state of understanding of the experience of Indigenous peoples during the first 18 months of the COVID-19 pandemic, in doing so we capture the state of knowledge available to governments and decision makers for addressing the needs of Indigenous peoples in these early months of the pandemic. We addressed three questions: (a) How is COVID-19 impacting the health and livelihoods of Indigenous peoples, (b) What system level challenges are Indigenous peoples experiencing, (c) How are Indigenous peoples responding? We searched Web of Science, Scopus, and PubMed databases and UN organization websites for publications about Indigenous peoples and COVID-19. Results were analyzed using descriptive statistics and content analysis. A total of 153 publications were included: 140 peer-reviewed articles and 13 from UN organizations. Editorial/commentaries were the most (43%) frequent type of publication. Analysis identified Indigenous peoples from 19 different countries, although 56% of publications were centered upon those in Brazil, United States, and Canada. The majority (90%) of articles focused upon the general adult population, few (<2%) used a gender lens. A small number of articles documented COVID-19 testing (0.04%), incidence (18%), or mortality (16%). Five themes of system level challenges affecting exposure and livelihoods evolved: ecological, poverty, communication, education and health care services. Responses were formal and informal strategies from governments, Indigenous organizations and communities. A lack of ethnically disaggregated health data and a gender lens are constraining our knowledge, which is clustered around a limited number of Indigenous peoples in mostly high-income countries. Many Indigenous peoples have autonomously implemented their own coping strategies while government responses have been largely reactive and inadequate. To 'build back better' we must address these knowledge gaps.

A Hospital-Based Study of Factors Associated with COVID-19-Related Deaths in Western Uttar Pradesh

Background The COVID-19 pandemic has rapidly affected mortality in India and public health efforts must focus on preventing the avoidable fatalities during this pandemic. Understanding various clinical characteristics of the deceased patients of COVID-19 along with the estimation of time interval between the onset of symptoms and admission in hospital and various factors associated with COVID-19 related deaths could inform public health interventions focusing on preventing deaths due to COVID-19.

Materials and Methods The present study was a retrospective hospital-based cross-sectional study conducted in Subharti Medical College and Hospital, Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India. The duration of the study was 21 months. Data of COVID-19 deaths were collected from the Medical Record Department of Chhatrapati Shivaji Subharti Hospital, Meerut, which is a dedicated Level-3 COVID Hospital.

Results Total Deaths due to COVID-19 were 298. Out of 298 deaths, 205 were males and 93 were females. The maximum number of deaths were in May 2021. When the duration of oxygen support was 1 to 5 days in 44.97% of the deceased, less than 1 day were 17.11% and more than 5 days were 17.11. The duration of ventilator support was less than 1 day in 39.26% of the deceased, 1 to 3 days in 39.3%, and more than 3 days in 21.14% of the deceased. The most common symptom associated with COVID-19 deceased was fever with breathlessness both in males and females. The most common co-morbid condition associated with COVID-19 deaths was hypertension with diabetes mellitus both in males and females.

Conclusion From the present study, we conclude that the majority of deaths were males. The maximum number of deaths due to COVID-19 was in May 2021, both in males and females. The most common symptom associated was fever with breathlessness and most common comorbid condition associated with deaths of COVID patients were hypertension with diabetes mellitus. The duration of oxygen support was 1 to 5 days in the majority of the patients. The duration of ventilator support was less than 1 day in the majority of patients.

Neurological Manifestations and Clinical Outcomes of Patients with COVID-19 in the Aseer Region, Saudi Arabia

COVID-19 patients also present with rheumatological problems, cardiac problems, and even neurological manifestations. However, the data are still insufficient at present to fill the gaps in our understanding of the neurological presentations of COVID-19. Therefore, the present study was undertaken to reveal the various neurological manifestations of patients with COVID-19 and to find the association between neurological manifestations and the clinical outcome. This cross-sectional study was conducted in Abha, in the Aseer region of the Kingdom of Saudi Arabia, among COVID-19 patients aged 18 years or older who were admitted with the neurological manifestations of COVID-19 to the Aseer Central Hospital and Heart Center Hospital Abha. Non-probability convenient sampling was used. All the information was gathered by the principal investigator using a questionnaire including sociodemographic information, disease characteristics of COVID-19, neurological manifestations, and other complications. Data were analyzed using the Statistical Package for Social Sciences, version 16.0 (SPSS, Inc., Chicago, IL, USA). A total of 55 patients were included in the present study. About half of the patients were admitted to the ICU, and 18 (62.1%) patients died after 1 month of follow-up. Patients aged over 60 years had a 75% mortality rate. About 66.66% of patients with pre-existing neurological disorders died. Statistically significant associations were found between neurological symptoms such as cranial nerve symptoms and a poor outcome. A statistically significant difference was also found between laboratory parameters such as the absolute neutrophil count (ANC), activated partial thromboplastin time (aPTT), total cholesterol (TC), creatinine, urea, and lactate dehydrogenase (LDH) level and the outcome. A statistically significant difference was also found between the use of medications such as antiplatelets, anticoagulants, and statins at the baseline and after a 1-month follow-up. Neurological symptoms and complications are not uncommon among COVID-19 patients. Most of these patients had poor outcomes. Further studies are required to provide more data and knowledge about this issue, including the possible risk factors and the long-term neurological consequences of COVID-19.

Comprehensive evaluation of six interventions for hospitalized patients with COVID-19: A propensity score matching study

Purpose

The purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia.

Patients and methods

A secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥ 18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t-test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model.

Results

The mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes.

Conclusion

Remdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies.

Occupational role and COVID-19 among foreign-born healthcare workers in Sweden: a registry-based study

BACKGROUND

Many studies report that foreign-born healthcare workers (HCWs) in high-income countries have an elevated risk of COVID-19. However, research has not yet specifically evaluated the distribution of COVID-19 among foreign-born workers in different healthcare work groups. We examined the risk of COVID-19 infection and hospitalization among foreign-born HCWs in different occupational roles in Sweden.

METHODS

We linked occupational data (2019) of 783 950 employed foreign-born workers (20-65 years) to COVID-19 data registered between 1 January 2020 and 30 September 2021. We used Cox proportional hazards regression to estimate the hazard ratio (HR) with 95% confidence intervals (95% CIs) of COVID-19 infection and hospitalization in eight healthcare occupational groups vs. non-HCWs and assessed whether region of birth modified the association between healthcare occupations and COVID-19.

RESULTS

All HCWs had a higher risk of COVID-19 outcomes than non-HCWs, but the risk differed by occupational role. Hospital-based assistant nurses had the highest risk (infection: HR 1.78; 95% CI 1.72-1.85; hospitalization: HR 1.79; 95% CI 1.52-2.11); allied HCWs had the lowest risk (infection: HR 1.22; 95% CI 1.10-1.35; hospitalization: HR 0.98; 95% CI 0.59-1.63). The relative hazard of the outcomes varied across foreign-born workers from different regions. For example, the relative risk of COVID-19 infection associated with being a physician compared to a non-HCW was 31% higher for African-born than European-born workers.

CONCLUSIONS

The risk of COVID-19 among foreign-born HCWs differed by occupational role and immigrant background. Public health efforts that target occupational exposures as well as incorporate culturally responsive measures may help reduce COVID-19 risk among foreign-born HCWs.

Low thoracic skeletal muscle index is associated with negative outcomes in 244 patients with respiratory COVID-19

BACKGROUND

Sarcopenia is associated with negative outcomes in intensive care unit (ICU) patients and during chronic diseases. We aimed to evaluate if low skeletal muscle index (SMI) measured by computed tomography (CT) at the thoracic level is associated with poor outcomes in hospitalized patients with respiratory COVID-19.

METHODS

Patients admitted to the hospital between March 1st and June 9, 2020 with a confirmed diagnosis of respiratory COVID-19 in the Emergency Department were included in this retrospective cohort study. SMI was assessed from a transverse CT image at the T12 level. We analysed the association between thoracic SMI and mortality, ICU admissions, infections, length of stay and gravity scores.

RESULTS

We included 244 patients, whose median age was 62 (20-95) years, mean body mass index was 28,6 kg/m2, and 34% were obese patients. 102 patients (41,8%) had low thoracic SMI. On multivariable analysis, low thoracic SMI was associated with more infections (OR = 1,88 [1,06-2,98]) and increased length of stay (OR = 1,87 [1,14-3,49]) but not with mortality (OR = 1.37 [0.54-3.52]), whereas it was inversely associated with ICU admission (OR = 5,56 [1,96-16,67].

CONCLUSION

Low SMI measured by CT at the thoracic level T12 is associated with negative outcomes in patients with respiratory COVID-19.

Factors Influencing COVID-19 Vaccine Hesitancy among Patients with Serious Chronic Illnesses during the Initial Australian Vaccine Rollout: A Multi-Centre Qualitative Analysis Using the Health Belief Model

Background: People with chronic illnesses have increased morbidity and mortality associated with COVID-19 infection. The influence of a person's serious and/or comorbid chronic illness on COVID-19 vaccine uptake is not well understood. Aim: To undertake an in-depth exploration of factors influencing COVID-19 vaccine uptake among those with various serious and/or chronic diseases in the Australian context, using secondary data analysis of a survey study. Methods: Adults with cancer, diabetes and multiple sclerosis (MS) were recruited from 10 Australian health services to undertake a cross-sectional online survey (30 June to 5 October 2021) about COVID-19 vaccine uptake, vaccine hesitancy, confidence and complacency and disease-related decision-making impact. Free-text responses were invited regarding thoughts and feelings about the interaction between the participant's disease, COVID-19, and vaccination. Qualitative thematic analysis was undertaken using an iterative process and representative verbatim quotes were chosen to illustrate the themes. Results: Of 4683 survey responses (cancer 3560, diabetes 842, and MS 281), 1604 (34.3%) included free-text comments for qualitative analysis. Participants who provided these were significantly less likely to have received a COVID-19 vaccination than those who did not comment (72.4% and 86.2%, respectively). People with diabetes were significantly less likely to provide free-text comments than those with cancer or MS (29.0%, 35.1% and 39.9%, respectively). Four key themes were identified from qualitative analysis, which were similar across disease states: (1) having a chronic disease heightened perceived susceptibility to and perceived severity of COVID-19; (2) perceived impact of vaccination on chronic disease management and disease-related safety; (3) uncertain benefits of COVID-19 vaccine; and (4) overwhelming information overload disempowering patients. Conclusions: This qualitative analysis highlights an additional layer of complexity related to COVID-19 vaccination decision making in people with underlying health conditions. Appreciation of higher susceptibility to severe COVID-19 outcomes appears to be weighed against uncertain impacts of the vaccine on the progression and management of the comorbid disease. Interactions by clinicians addressing individual factors may alleviate concerns and maximise vaccine uptake in people with significant underlying health conditions.

Understanding risk factors of a new variant outburst through global analysis of Omicron transmissibility

The emergence of a new virus variant is generally recognized by its usually sudden and rapid spread (outburst) in a certain world region. Due to the near-exponential rate of initial expansion, the new strain may not be detected at its true geographical origin but in the area with the most favorable conditions leading to the fastest exponential growth. Therefore, it is crucial to understand better the factors that promote such outbursts, which we address in the example of analyzing global Omicron transmissibility during its global emergence/outburst in November 2021-February 2022. As predictors, we assemble a number of potentially relevant factors: vaccinations (both full and boosters), different measures of population mobility (provided by Google), estimated stringency of measures, the prevalence of chronic diseases, population age, the timing of the outburst, and several other socio-demographic variables. As a proxy for natural immunity (prevalence of prior infections in population), we use cumulative numbers of COVID-19 deaths. As a response variable (transmissibility measure), we use the estimated effective reproduction number (R_e) averaged in the vicinity of the outburst maxima. To select significant predictors of R_e, we use machine learning regressions that employ feature selection, including methods based on ensembles of decision trees (Random Forest and Gradient Boosting). We identify the young population, earlier infection onset, higher mobility, low natural immunity, and low booster prevalence as likely direct risk factors. Interestingly, we find that all these risk factors were significantly higher for Africa, though curiously somewhat lower in Southern African countries (where the outburst emerged) compared to other African countries. Therefore, while the risk factors related to the virus transmissibility clearly promote the outburst of a new virus variant, specific regions/countries where the outburst actually happens may be related to less evident factors, possibly random in nature.

Seroprevalence of anti-SARS-CoV-2 antibodies and cross-variant neutralization capacity after the Omicron BA.2 wave in Geneva, Switzerland: a population-based study

Background

More than two years into the COVID-19 pandemic, most of the population has developed anti-SARS-CoV-2 antibodies from infection and/or vaccination. However, public health decision-making is hindered by the lack of up-to-date and precise characterization of the immune landscape in the population. Here, we estimated anti-SARS-CoV-2 antibodies seroprevalence and cross-variant neutralization capacity after Omicron became dominant in Geneva, Switzerland.

Methods

We conducted a population-based serosurvey between April 29 and June 9, 2022, recruiting children and adults of all ages from age-stratified random samples of the general population of Geneva, Switzerland. We tested for anti-SARS-CoV-2 antibodies using commercial immunoassays targeting either the spike (S) or nucleocapsid (N) protein, and for antibody neutralization capacity against different SARS-CoV-2 variants using a cell-free Spike trimer-ACE2 binding-based surrogate neutralization assay. We estimated seroprevalence and neutralization capacity using a Bayesian modeling framework accounting for the demographics, vaccination, and infection statuses of the Geneva population.

Findings

Among the 2521 individuals included in the analysis, the estimated total antibodies seroprevalence was 93.8% (95% CrI 93.1-94.5), including 72.4% (70.0-74.7) for infection-induced antibodies. Estimates of neutralizing antibodies in a representative subsample (N = 1160) ranged from 79.5% (77.1-81.8) against the Alpha variant to 46.7% (43.0-50.4) against the Omicron BA.4/BA.5 subvariants. Despite having high seroprevalence of infection-induced antibodies (76.7% [69.7-83.0] for ages 0-5 years, 90.5% [86.5-94.1] for ages 6-11 years), children aged <12 years had substantially lower neutralizing activity than older participants, particularly against Omicron subvariants. Overall, vaccination was associated with higher neutralizing activity against pre-Omicron variants. Vaccine booster alongside recent infection was associated with higher neutralizing activity against Omicron subvariants.

Interpretation

While most of the Geneva population has developed anti-SARS-CoV-2 antibodies through vaccination and/or infection, less than half has neutralizing activity against the currently circulating Omicron BA.5 subvariant. Hybrid immunity obtained through booster vaccination and infection confers the greatest neutralization capacity, including against Omicron.

Funding

General Directorate of Health in Geneva canton, Private Foundation of the Geneva University Hospitals, European Commission ("CoVICIS" grant), and a private foundation advised by CARIGEST SA.

Factors associated with covid-19 deaths in the city of Recife, Pernambuco, Brazil, 2020: a cross-sectional study with "Notifique Aqui" system data

OBJECTIVE

to analyze the clinical conditions and sociodemographic characteristics associated with covid-19 deaths in the first year of the pandemic in the city of Recife, Pernambuco, Brazil, 2020.

METHODS

this was a cross-sectional study with covid-19-induced severe acute respiratory syndrome cases recorded in 2020 via the "Notifique Aqui" (Report Here) electronic system of the Pernambuco Center for Strategic Information on Health Surveillance. Association between death and sociodemographic and clinical variables was analyzed. Prevalence ratios (PR) with 95% confidence intervals (95%CI) were calculated using adjusted Poisson regression.

RESULTS

the prevalence of death was 28.4% (2,833 cases; 95%CI 27.51;29.28). The associated factors were male sex (PR = 1.05; 95%CI 1.01;1.08), age ≥ 60 years (PR = 0.76; 95%CI 0.72;0.79), dyspnea (PR = 1.06; 95%CI 1.02;1.10), respiratory distress (PR = 1.06; 95%CI 1.03;1.09), oxygen saturation < 95% (PR = 1.08; 95%CI 1.04;1.11) and chronic diseases.

CONCLUSION

covid-19 deaths were more prevalent among male, older adults, and people with pre-existing health problems, these being priority groups for combating the pandemic.

Confronting COVID-19 and Prioritizing Aging Population

Over the past three years, China has implemented rapid, vigorous, and coordinated control measures to limit the spread of coronavirus disease 2019 (COVID-19) effectively. These measures include active containment, graded management, rational resource allocation, rapid contact tracing and disposal, and targeted vaccination of key populations. These efforts have contributed to the prompt and effective control of outbreaks, protecting the health and well-being of older adults. This review provides a comprehensive summary of the changes in China's COVID-19 prevention and control experiences and other public health measures since the outbreak of the pandemic, and assesses their impact on older adults. It may serve as a valuable reference for future epidemic prevention and control efforts.

Genetic Predisposition to Hepatocellular Carcinoma

Liver preneoplastic and neoplastic lesions of the genetically susceptible F344 and resistant BN rats cluster, respectively, with human HCC with better (HCCB) and poorer prognosis (HCCP); therefore, they represent a valid model to study the molecular alterations determining the genetic predisposition to HCC and the response to therapy. The ubiquitin-mediated proteolysis of ERK-inhibitor DUSP1, which characterizes HCC progression, favors the unrestrained ERK activity. DUSP1 represents a valuable prognostic marker, and ERK, CKS1, or SKP2 are potential therapeutic targets for human HCC. In DN (dysplastic nodule) and HCC of F344 rats and human HCCP, DUSP1 downregulation and ERK1/2 overexpression sustain SKP2-CKS1 activity through FOXM1, the expression of which is associated with a susceptible phenotype. SAM-methyl-transferase reactions and SAM/SAH ratio are regulated by GNMT. In addition, GNMT binds to CYP1A, PARP1, and NFKB and PREX2 gene promoters. MYBL2 upregulation deregulates cell cycle and induces the progression of premalignant and malignant liver. During HCC progression, the MYBL2 transcription factor positively correlates with cells proliferation and microvessel density, while it is negatively correlated to apoptosis. Hierarchical supervised analysis, regarding 6132 genes common to human and rat liver, showed a gene expression pattern common to normal liver of both strains and BN nodules, and a second pattern is observed in F344 nodules and HCC of both strains. Comparative genetics studies showed that DNs of BN rats cluster with human HCCB, while F344 DNs and HCCs cluster with HCCP.