Comorbidities and Symptomatology of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2)-Related Myocarditis and SARS-CoV-2 Vaccine-Related Myocarditis: A Review.

Myocarditis is an inflammatory disease of the heart muscle, with manifestations that include myocardial infarction, arrhythmia, and even sudden death. The primary etiology of myocarditis is a viral infection, with studies demonstrating that infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to myocarditis. This enzyme is involved in many body tissues, including the gastrointestinal system and the cardiac system. This enzyme is responsible for converting angiotensin I to angiotensin II in the renin-angiotensin system of our body. This review aims to characterize the symptomatology and comorbidities of males, females, and pediatric patients who developed the SARS-CoV-2-related myocarditis (SARS-CoV-2RM) or the SARS-CoV-2 vaccine-related myocarditis (SARS-CoV-2VRM). From July 10 to July 20, 2021, a PubMed database search for "SARS CoV-2 Related Myocarditis" was conducted. From July 21 to July 30, 2021, the search for "SARS CoV-2 Vaccine Related Myocarditis" was conducted. The search completed was specific for title/abstract fields using keywords "Covid-19" AND "Myocarditis" AND "Vaccine" and specifying "Males" or "Females", respectively. Inclusion criteria included articles discussing comorbidities and symptomatology. Exclusion criteria included autopsy/postmortem reports, letters to the editor, retrospective studies, and observational studies. In the end, 49 articles were found and included in this review. We found that 27 of 40 pediatric patients with SARS-CoV-2RM presented with gastrointestinal symptoms, and 12 of 40 pediatric patients had no comorbidities. In female cases, eight of 12 patients with SARS-CoV-2RM presented with noncardiac symptoms, and only four of 12 had comorbidities such as asthma, diabetes, and obesity. In male patients with SARS-CoV-2RM, 10 of 12 presented with respiratory and/or cardiac symptoms, and seven of 12 had cardiac and/or diabetic comorbidities. Furthermore, 22 of 31 male patients with SARS-CoV-2VRM presented with chest pain with no previous comorbidities; four of six females with SARS-CoV-2VRM presented with chest pain, and three of six females had no comorbidities; and seven of 11 pediatric patients with SARS-CoV-2VRM had no comorbidities, but 11 of 11 pediatric patients presented with chest pain. In conclusion, males, females, and pediatric patients with previous SARS-CoV-2VRM showed mostly chest pain with no comorbidities. Males presenting with SARS-CoV-2RM showed mostly respiratory and cardiac symptoms with cardiac and diabetic comorbidities. Females with SARS-CoV-2RM described various symptoms from flu-like, respiratory, to cardiac and had no previous comorbidities. The bulk of pediatric patients with SARS-CoV-2RM mainly presented with GI symptoms and no past comorbidities. More studies are needed to determine the clinical presentation and risk factors that lead to SARS-CoV-2RM and SARS-CoV-2VRM.

A Case-Control Study for the Effectiveness of Oral Zinc in the Prevention and Mitigation of COVID-19.

Background: The ongoing coronavirus disease-19 (COVID-19) pandemic (caused by an infection with severe acute respiratory syndrome (SARS)-coronavirus (CoV-2) has put a burden on the medical community and society at large. Efforts to reduce the disease burden and mortality over the course of the pandemic have focused on research to rapidly determine age-stratified seroepidemiologic surveys, a centralized research program to fast-track the most promising rapid diagnostics and serologic assays, and the testing of potential anti-viral agents, immunologic therapies, and vaccine candidates. Despite the lack of official recognition for the role of nutrition in the fight against COVID-19 infection, multiple groups proposed zinc supplementation as an adjuvant for the management of participants. Method: In an ambulatory, interventional, prospective, single-blind study, we evaluated the effectiveness of zinc supplementation in the prevention and mitigation of COVID-19 in two similar participant groups. In Clinic A (n = 104) participants were randomized to receive 10 mg, 25 mg, or 50 mg zinc picolinate daily, and Clinic B control participants paired according to their demographics and clinical parameters (n = 96). All participants were compared based on demographics, clinical comorbidities, blood counts, renal functions, vitamin D levels, and their development of symptomatic COVID-19 infection. Results: Symptomatic COVID-19 infection was significantly higher among the control group participants (N = 9, 10.4%) than the treatment participants (N = 2, 1.9%), p = 0.015. The unadjusted odds ratio indicates that symptomatic COVID-19 infection was 5.93 [95% CI: 1.51, 39.26] higher in the control group, p < 0.01. Controlling for co-morbidities, individuals in the control group were 7.38 (95% CI: 1.80, 50.28) times more likely to develop symptomatic COVID-19 infection as compared with individuals in the treatment group (p < 0.01). For every-one unit increase in the number of co-morbidities, the likelihood of developing symptomatic COVID-19 infection increased 1.57 (95% CI: 1.16, 2.19) (p = 0.01). Discussion: The findings from our study suggest that zinc supplementation in all three doses (10, 25, and 50 mg) may be an effective prophylaxis of symptomatic COVID-19 and may mitigate the severity of COVID-19 infection. Conclusion: Zinc is a relatively inexpensive mineral nutrient that is an effective prophylactic agent to prevent and mitigate the potentially deadly symptomatic SARS-CoV-2 infection. As the COVID-19 pandemic continues with a lag in vaccinations in some regions and the continued emergence of dangerously infectious variants of SARS-CoV-2, it is important to replicate our data in other populations and locations and to engage public health and nutrition services on the emergent need to use zinc supplantation or fortification of staple foods in the prevention and mitigation of COVID-19 infection severity.

Associations of Stay-at-Home Order Enforcement With COVID-19 Population Outcomes: An Interstate Statistical Analysis.

In the United States, state governors initially enacted coronavirus diseases 2019 (COVID-19)-mitigation policies with limited epidemiologic data. One prevailing legislative approach, from March to May 2020, was the implementation of "stay-at-home" (SAH) executive orders. Although social distancing was encouraged, SAH orders varied between states, and the associations between potential legal prosecution and COVID-19 outcomes are currently unknown. Here, we provide empirical evidence on how executive enforcement of movement restrictions may influence population health during an infectious disease outbreak. A generalized linear model with negative binomial regression family compared COVID-19 outcomes in states with law-enforceable stay-at-home (eSAH) orders versus those with unenforceable or no SAH orders (uSAH), controlling for demographic factors, socioeconomic influences, health comorbidities, and social distancing. COVID-19 incidence was less by 1.22 cases per day per capita in eSAH states compared with uSAH states (coefficient = -1.22, 95% confidence interval (CI): -1.83, -0.61; P < 0.001), and each subsequent day without an eSAH order was associated with a 0.03 incidence increase (coefficient = 0.03, 95% CI: 0.03, 0.04; P < 0.001). Daily mortality was 1.96 less for eSAH states per capita (coefficient = -1.96, 95% CI: -3.25, -0.68; P = 0.004). Our findings suggest allowing the enforcement of public health violations, compared with community education alone, is predictive of improved COVID-19 outcomes.

Managed care COVID-19 outcomes in a population health program.

OBJECTIVES: To determine (1) factors linked to hospitalizations among managed care patients (MCPs), (2) outcome improvement with use of outpatient off-label treatment, and (3) outcome comparison between MCPs and a mirror group. STUDY DESIGN: Retrospective cohort study comparing MCPs with an age- and gender-matched mirror group in Florida from April 1, 2020, to May 31, 2020. METHODS: A total of 38,193 MCPs in a Florida primary care group were monitored for COVID-19 incidence, hospitalization, and mortality. The highest-risk patients were managed by the medical group's COVID-19 Task Force. As part of a population health program, the COVID-19 Task Force contacted patients, conducted medical encounters, and tracked data including comorbidities and medical outcomes. The MCPs enrolled in the medical group were compared with a mirror group from the state of Florida. RESULTS: The mean (SD) age among the MCPs was 67.9 (15.2) years, and 60% were female. Older age and hypertension were the most important factors in predicting COVID-19. Obesity, chronic kidney disease (CKD), and congestive heart failure (CHF) were linked to higher rates of hospitalizations. Patients prescribed off-label outpatient medications had 73% lower likelihood of hospitalization (P < .05). Compared with the mirror group, MCPs had 60% lower COVID-19 mortality (P < .05). CONCLUSIONS: MCPs have risk factors similar to the general population for COVID-19 incidence and progression, including older age, hypertension, obesity, CHF, and CKD. Outpatient treatment with off-label medicines decreased hospitalizations. A comprehensive population health program decreased COVID-19 mortality.

Current Understanding of COVID-19 Clinical Course and Investigational Treatments.

Importance: Currently, there is no unified framework linking disease progression to established viral levels, clinical tests, inflammatory markers, and investigational treatment options. Objective: It may take many weeks or months to establish a standard treatment approach. Given the growing morbidity and mortality with respect to COVID-19, this systemic review presents a treatment approach based on a thorough review of scholarly articles and clinical reports. Our focus is on staged progression, clinical algorithms, and individualized treatment. Evidence Review: We followed the protocol for a quality review article proposed by Heyn et al. (1). A literature search was conducted to find all relevant studies related to COVID-19. The search was conducted between April 1, 2020, and April 13, 2020, using the following electronic databases: PubMed (1809 to present); Google Scholar (1900 to present); MEDLINE (1946 to present), CINAHL (1937 to present); and Embase (1980 to present). The keywords used included COVID-19, 2019-nCov, SARS-CoV-2, SARS-CoV, and MERS-CoV, with terms such as efficacy, seroconversion, microbiology, pathophysiology, viral levels, inflammation, survivability, and treatment and pharmacology. No language restriction was placed on the search. Reference lists were manually scanned for additional studies. Findings: Of the articles found in the literature search, 70 were selected for inclusion in this study (67 cited in the body of the manuscript and 3 additional unique references in the Figures). The articles represent work from China, Japan, Taiwan, Vietnam, Rwanda, Israel, France, the United Kingdom, the Netherlands, Canada, and the United States. Most of the articles were cohort or case studies, but we also drew upon other information, including guidelines from hospitals and clinics instructing their staff on procedures to follow. In addition, we based some decisions on data collected by organizations such as the CDC, FDA, IHME, IDSA, and Worldometer. None of the case studies or cohort studies used a large number of participants. The largest group of participants numbered <500 and some case studies had fewer than 30 patients. However, the review of the literature revealed the need for individualized treatment protocols due to the variability of patient clinical presentation and survivability. A number of factors appear to influence mortality: the stage at which the patient first presented for care, pre-existing health conditions, age, and the viral load the patient carried. Conclusion and Relevance: COVID-19 can be divided into three distinct stages, beginning at the time of infection (Stage I), sometimes progressing to pulmonary involvement (Stage II, with or without hypoxemia), and less frequently to systemic inflammation (Stage III). In addition to modeling the stages of disease progression along with diagnostic testing, we have also created a treatment algorithm that considers age, comorbidities, clinical presentation, and disease progression to suggest drug classes or treatment modalities. This paper presents the first evidence-based recommendations for individualized treatment for COVID-19.