Hypertension and mortality in SARS-COV-2 infection: A meta-analysis of observational studies after 2 years of pandemic

Molecular Basis of High-Blood-Pressure-Enhanced and High-Fever-Temperature-Weakened Receptor-Binding Domain/Peptidase Domain Binding: A Molecular Dynamics Simulation Study

The entry and infection of the Severe Acute Respiratory Syndrome Coronavirus 2 virus (SARS-CoV-2) involve recognition and binding of the receptor-binding domain (RBD) of the virus surface spike protein to the peptidase domain (PD) of the host cellular Angiotensin-Converting Enzyme-2 (ACE2) receptor. ACE2 is also involved in normal blood pressure control. An association between hypertension and COVID-19 severity and fatality is evident, but how hypertension predisposes patients diagnosed with COVID-19 to unfavorable outcomes remains unclear. High temperature early during SARS-CoV-2 infection impairs binding to human cells and retards viral progression. Low body temperature can prelude poor prognosis. In this study, all-atom molecular dynamics simulations were performed to examine the effects of high pressure and temperature on RBD/PD binding. A high blood pressure of 940 mmHg enhanced RBD/PD binding. A high temperature above 315 K significantly weakened RBD/PD binding, while a low temperature of 305 K enhanced binding. The curvature of the PD α1-helix and proximity of the PD β3β4-hairpin tip to the RBM motif affected the compactness of the binding interface and, hence, binding affinity. These findings provide novel insights into the underlying mechanisms by which hypertension predisposes patients to unfavorable outcomes in COVID-19 and how an initial high temperature retards viral progression.

The impact of the COVID-19 Pandemic on hypertension phenotypes (ESH ABPM COVID-19 study)

OBJECTIVE

The COVID-19 pandemic had a major impact on medical care. This study evaluated the influence of the pandemic on blood pressure (BP) control and hypertension phenotypes as assessed by office and 24-hour ambulatory BP monitoring (ABPM).

DESIGN AND METHODS

Data were collected from 33 centers including Excellence Centers of the European Society of Hypertension. Two groups of patients with treated hypertension were compared. Pandemic group: including participants who had ABPM twice - at visit 2 during the COVID-19 pandemic and visit 1 performed 9-15 months prior to visit 2. Pre-pandemic group: had ABPM at two visits, performed before the pandemic within 9-15 months interval. We determined the following hypertension phenotypes: masked hypertension, white coat hypertension, sustained controlled hypertension (SCH) and sustained uncontrolled hypertension (SUCH). We analyzed the prevalence of phenotypes and their changes between visits.

RESULTS

Data of 1419 patients, 616 (43 %) in the pandemic group and 803 (57 %) in the pre-pandemic group, were analyzed. At baseline (visit 1), the prevalence of hypertension phenotypes did not differ between groups. In the pandemic group, the change in hypertension phenotypes between two visits was not significant (p = 0.08). In contrast, in the pre-pandemic group, the prevalence of SCH increased during follow-up (28.8 % vs 38.4 %, p < 0.01) while the prevalence of SUCH decreased (34.2 % vs 27.8 %, p < 0.01). In multivariable adjusted analysis, the only factor influencing negative changes of hypertension phenotypes was the COVID-19 pandemic period.

CONCLUSION

These results indicate a negative impact of the COVID-19 pandemic on BP control assessed by hypertension phenotypes.

Characteristics and outcomes of in-hospital patients with Covid-19 and history of tuberculosis: a matched case-control from the Brazilian Covid-19 Registry

BACKGROUND

The Covid-19 pandemic caused a negative impact on other infectious diseases control, prevention, and treatment. Consequently, low and middle-income countries suffer from other endemic diseases, such as tuberculosis. This study was designed to compare Covid-19 manifestations and outcomes between patients with previously treated tuberculosis and controls without this condition.

METHODS

We performed a matched case-control study drawn from the Brazilian Covid-19 Registry data, including in-hospital patients aged 18 and over with laboratory-confirmed Covid-19 from March 1, 2020, to March 31, 2022. Cases were patients with a past history of tuberculosis. Controls were Covid-19 patients without a tuberculosis history. Patients were matched by hospital, sex, presence of HIV, and number of comorbidities, with a 1:4 ratio.

RESULTS

Of 13,636 patients with laboratory-confirmed diagnoses of Covid-19 enrolled in this study, 80 had a history of tuberculosis. Statistical differences in history of chronic pulmonary obstructive disease (15% vs. 3.2%), psychiatric disease (10% vs. 3.5%,), chronic kidney disease (11.2% vs. 2.8%), and solid-organ transplantation; (5% vs. 0.9%, p < 0.05 for all) were higher in patients with a past history of tuberculosis. Prior use of inhalatory medications (5% vs. 0.6%,), oral corticoids (8.8% vs. 1.9%), immunosuppressants (8.8% vs. 1.9%,) and the use of illicit drugs were more common in the case group (6.2% vs. 0.3% p < 0.05for all). There were no significant differences in in-hospital mortality, mechanical ventilation, need for dialysis, and ICU admission.

CONCLUSIONS

Patients with a history of tuberculosis infection presented a higher frequency of use of illicit drugs, chronic pulmonary obstructive disease, psychiatric disease, chronic kidney disease, solid-organ transplantation, prior use of inhalatory medications, oral corticoids, and immunosuppressants. The outcomes were similar between cases and controls.

Multimorbidity and COVID-19 Outcomes in the Emergency Department: Is the Association Mediated by the Severity of the Condition at Admission?

Background/Objectives: Charlson Comorbidity Index (CCI) is one of the most reliable indicators to assess the impact of multimorbidity on COVID-19-related outcomes. Moreover, the patient's clinical conditions are associated with SARS-CoV-2 outcomes. This study aimed to analyze the association between multimorbidity and COVID-19-related outcomes, evaluating whether the National Early Warning Score 2 (NEWS2) mediated these associations. Methods: Data were obtained through the platform "EPICLIN". We analyzed all patients who tested positive for COVID-19 after accessing the emergency department (ED) of San Luigi Gonzaga (Orbassano) and Molinette (Turin) hospitals from 1 March to 30 June 2020. Different outcomes were assessed: non-discharge from the ED, 30-day mortality, ICU admission/death among hospitalized patients, and length of hospitalization among surviving patients. Two subgroups of patients (<65 and 65+ years old) were analyzed using logistic regressions, Cox models, and mediation analyses. Results: There was a greater risk of not being discharged or dying among those who were younger and with CCI ≥ 2. Moreover, the higher the CCI, the longer the length of hospitalization. Considering older subjects, a greater CCI was associated with a higher risk of death. Regarding the mediation analyses, multimorbidity significantly impacted the hospitalization length and not being discharged in the younger population. Instead, in the older population, the NEWS2 played a mediation role. Conclusions: This research showed that multimorbidity is a risk factor for a worse prognosis of COVID-19. Moreover, there was a strong direct effect of CCI on not being discharged, and the NEWS2 was found to act as mediator in the association between multimorbidity and COVID-19-related outcomes.

Prognostic significance of hypertension history and blood pressure on admission in Japanese patients with coronavirus disease 2019: integrative analysis from the Japan COVID-19 Task Force

The effect of preexisting hypertension on coronavirus disease 2019 (COVID-19) prognosis remains controversial. Additionally, no studies have compared the association between blood pressure (BP) indices on admission and COVID-19 outcomes using preexisting hypertension status. Therefore, this study aimed to investigate the association between preexisting hypertension and COVID-19 outcomes in Japanese patients with COVID-19 and assess the impact of BP indices on admission on clinical outcomes in patients with and without preexisting hypertension. Preexisting hypertension presence was confirmed based on the patient's clinical history. Critical outcomes were defined as high-flow oxygen use, non-invasive and invasive positive-pressure ventilation, extracorporeal membrane oxygenation, or death during hospitalization. Preexisting hypertension was observed in 64.6% of the patients. Multivariable logistic regression analysis of severe COVID-19 risk factors indicated that preexisting hypertension was independently associated with critical outcomes [adjusted odds ratio (OR): 1.35; 95% confidence interval (CI): 1.05-1.73]. Low or high BP and high pulse pressure on admission were associated with critical outcomes in patients without preexisting hypertension [OR for systolic BP < 100 mmHg: 2.13, 95% CI: 1.21-3.75; OR for high BP stage 2 (160-179 systolic and/or 100-109 mmHg diastolic BP): 2.13, 95% CI: 1.27-3.58; OR for pulse pressure ≥60 mmHg: 1.68, 95% CI: 1.14-2.48]. Preexisting hypertension is a risk factor for critical outcomes in Japanese patients with COVID-19. BP indices are useful biomarkers for predicting COVID-19 outcomes, particularly in patients without preexisting hypertension. Thus, hypertension history, systolic BP, and pulse pressure should be assessed to predict severe COVID-19 outcomes.

Asthma and clinical outcomes of COVID-19 in a community setting

OBJECTIVES

The association between asthma and COVID-19 mortality remains inconclusive. We examined the association between asthma and clinical outcomes of patients with COVID-19.

STUDY DESIGN

A case-control study based on a surveillance cohort in Harris County, Texas.

METHODS

Using the data of 21,765 patients who reported having at least one chronic health condition, we investigated the association between asthma and COVID-19 severity, characterized primarily by hospitalization and death. Unconditional logistic regression models were used to estimate the multivariable odds ratio (mOR) and its 95 % confidence interval (CI) of COVID-19 severity associated with asthma and other chronic lung diseases, adjusting for demographic and other comorbidities. A P-value < 0.005 was considered statistically significant after correcting multiple testing.

RESULTS

In total, 3034 patients (13.9 %) had asthma, and 774 (3.56 %) had other chronic lung diseases. The case death rate among patients with asthma and other chronic lung diseases was 0.75 % and 19.0 %, respectively. Compared to patients without the respective conditions, patients with asthma had lower odds of death (mOR = 0.44, 95 % CI: 0.27-0.69), while patients with other chronic lung diseases had higher odds of hospitalization (mOR = 2.02, 95 % CI: 1.68-2.42) and death (mOR = 1.95, 95 % CI: 1.52-2.49) (P-values < 0.005). Risk factors for COVID-19 mortality included older age, male gender, diabetes, obesity, hypertension, cardiovascular disease, active cancer, and chronic kidney disease.

CONCLUSIONS

The public health surveillance data suggested that preexisting asthma was inversely associated with COVID-19 mortality.

Associations of diabetes, hypertension and obesity with COVID-19 mortality: a systematic review and meta-analysis

INTRODUCTION

Despite a growing body of scholarly research on the risks of severe COVID-19 associated with diabetes, hypertension and obesity, there is a need for estimating pooled risk estimates with adjustment for confounding effects. We conducted a systematic review and meta-analysis to estimate the pooled adjusted risk ratios of diabetes, hypertension and obesity on COVID-19 mortality.

METHODS

We searched 16 literature databases for original studies published between 1 December 2019 and 31 December 2020. We used the adapted Newcastle-Ottawa Scale to assess the risk of bias. Pooled risk ratios were estimated based on the adjusted effect sizes. We applied random-effects meta-analysis to account for the uncertainty in residual heterogeneity. We used contour-funnel plots and Egger's test to assess possible publication bias.

RESULTS

We reviewed 34 830 records identified in literature search, of which 145 original studies were included in the meta-analysis. Pooled adjusted risk ratios were 1.43 (95% CI 1.32 to 1.54), 1.19 (95% CI 1.09 to 1.30) and 1.39 (95% CI 1.27 to 1.52) for diabetes, hypertension and obesity (body mass index ≥30 kg/m2) on COVID-19 mortality, respectively. The pooled adjusted risk ratios appeared to be stronger in studies conducted before April 2020, Western Pacific Region, low- and middle-income countries, and countries with low Global Health Security Index scores, when compared with their counterparts.

CONCLUSIONS

Diabetes, hypertension and obesity were associated with an increased risk of COVID-19 mortality independent of other known risk factors, particularly in low-resource settings. Addressing these chronic diseases could be important for global pandemic preparedness and mortality prevention.

PROSPERO REGISTRATION NUMBER

CRD42021204371.

Obesity as a Risk Factor of Severe Outcome of COVID-19: A Pair-Matched 1:2 Case-Control Study

BACKGROUND AND AIM

The nature of the association between obesity and poor prognosis of COVID-19 without the evaluation of other co-pathologies associated has not yet been clearly evaluated. The aim of the present pair-matched case-control study was to investigate the outcome of patients with SARS-CoV-2 infection in obese and non-obese patients matched considering gender, age, number of comorbidities, and Charlson Comorbidity Index.

METHODS

All the adults hospitalized for SARS-CoV-2 infection and with BMI ≥ 30 kg/m2 were included (Cases). For each Case, two patients with BMI < 30 kg/m2 pair matched for gender, age (±5 years), number of comorbidities (excluding obesity), and Charlson Comorbidity Index (±1) were enrolled (Controls).

RESULTS

Of the 1282 patients with SARS-CoV-2 infection followed during the study period, 141 patients with obesity and 282 patients without were enrolled in the case and control groups, respectively. Considering matching variables, there was no statistical difference between the two groups. Patients in the Control group developed more frequently a mild-moderate disease (67% vs. 46.1%, respectively), whereas obese patients were more prone to need intensive care treatment (41.8% vs. 26.6%, respectively; p = 0.001). Moreover, the prevalence of death during hospitalization was higher in the Case group than in the Control group (12.1% vs. 6.4%, p = 0.046).

DISCUSSION

We confirmed an association between obesity and severe outcome of patients with COVID-19, also considering other factors associated with a severe outcome of COVID-19. Thus, in the case of SARS-CoV-2 infection, the subjects with BMI ≥ 30 kg/m2 should be evaluated for early antiviral treatment to avoid the development of a severe course.

COVID-19 and the cardiovascular system: a study of pathophysiology and interpopulation variability

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in humans can lead to various degrees of tissue and organ damage, of which cardiovascular system diseases are one of the main manifestations, such as myocarditis, myocardial infarction, and arrhythmia, which threaten the infected population worldwide. These diseases threaten the cardiovascular health of infected populations worldwide. Although the prevalence of coronavirus disease 2019 (COVID-19) has slightly improved with virus mutation and population vaccination, chronic infection, post-infection sequelae, and post-infection severe disease patients still exist, and it is still relevant to study the mechanisms linking COVID-19 to cardiovascular disease (CVD). This article introduces the pathophysiological mechanism of COVID-19-mediated cardiovascular disease and analyzes the mechanism and recent progress of the interaction between SARS-CoV-2 and the cardiovascular system from the roles of angiotensin-converting enzyme 2 (ACE2), cellular and molecular mechanisms, endothelial dysfunction, insulin resistance, iron homeostasis imbalance, and psychosocial factors, respectively. We also discussed the differences and mechanisms involved in cardiovascular system diseases combined with neocoronavirus infection in different populations and provided a theoretical basis for better disease prevention and management.