Cardiovascular Deaths During the COVID-19 Pandemic in the United States

BackgroundAlthough the direct toll of COVID-19 in the United States has been substantial, concerns have also arisen about the indirect effects of the pandemic. Hospitalizations for acute cardiovascular conditions have declined, raising concern that patients may be avoiding hospitals because of fear of contracting severe acute respiratory syndrome- coronavirus-2 (SARS-CoV-2). Other factors, including strain on health care systems, may also have had an indirect toll.ObjectivesThis investigation aimed to evaluate whether population-level deaths due to cardiovascular causes increased during the COVID-19 pandemic.MethodsThe authors conducted an observational cohort study using data from the National Center for Health Statistics to evaluate the rate of deaths due to cardiovascular causes after the onset of the pandemic in the United States, from March 18, 2020, to June 2, 2020, relative to the period immediately preceding the pandemic (January 1, 2020 to March 17, 2020). Changes in deaths were compared with the same periods in the previous year.ResultsThere were 397,042 cardiovascular deaths from January 1, 2020, to June 2, 2020. Deaths caused by ischemic heart disease increased nationally after the onset of the pandemic in 2020, compared with changes over the same period in 2019 (ratio of the relative change in deaths per 100,000 in 2020 vs. 2019: 1.11, 95% confidence interval: 1.04 to 1.18). An increase was also observed for deaths caused by hypertensive disease (1.17, 95% confidence interval: 1.09 to 1.26), but not for heart failure, cerebrovascular disease, or other diseases of the circulatory system. New York City experienced a large relative increase in deaths caused by ischemic heart disease (2.39, 95% confidence interval: 1.39 to 4.09) and hypertensive diseases (2.64, 95% confidence interval: 1.52 to 4.56) during the pandemic. More modest increases in deaths caused by these conditions occurred in the remainder of New York State, New Jersey, Michigan, and Illinois but not in Massachusetts or Louisiana.ConclusionsThere was an increase in deaths caused by ischemic heart disease and hypertensive diseases in some regions of the United States during the initial phase of the COVID-19 pandemic. These findings suggest that the pandemic may have had an indirect toll on patients with cardiovascular disease.     

Coronary artery calcifications and 6-month mortality in patients with COVID-19 without known atheromatous disease

Central illustration. Six-month mortality according to category of coronary artery calcium (CAC). The mortality rate increased with the magnitude of calcifications according to a visual scoring of CAC on chest computed tomography. CAC was associated with 6-month mortality, independent of conventional cardiovascular risk-factors, in patients hospitalized for coronavirus disease 2019 without known atheromatous disease. CI: confidence interval; HR: hazard ratio.

     

Anti-Saccharomyces cerevisiae antibodies in patients with COVID-19

Background and study aimAnti-Saccharomyces cerevisiae antibodies (ASCA) have been described in many autoimmune diseases (AIDs). Coronavirus disease 2019 (COVID-19) could trigger AIDs. This study aimed to determine the frequency of ASCA in patients with COVID-19.Patients and methodsThis study included 88 adult patients with severe COVID-19, 51 mild COVID-19, and 160 healthy blood donors. ASCA of isotype immunoglobulin (Ig)G and IgA were detected by enzyme-linked immunosorbent assay.ResultsThe frequency of ASCA (IgG or IgA) was significantly higher in patients with severe COVID-19 (21.6 % vs 3.7 %, p < 10^?3) and in patients with mild COVID-19 than in the healthy controls (13.7 % vs 3.7 %, p = 0.03). ASCA-IgA was significantly more frequent in patients with severe COVID-19 than in healthy controls (15.9 % vs 0.6 %, p < 10^?3). ASCA-IgG was significantly more frequent in patients with mild COVID-19 than in healthy controls (13.7 % vs 3.1 %, p = 0.02). ASCA (IgG or IgA) were more frequent in severe than in mild COVID-19, but the difference was not statistically significant (21.6 % vs 13.7 %). ASCA-IgA was significantly more frequent in patients with severe than those with mild COVID-19 (15.9 % vs 0 %, p = 0.003). The mean ASCA-IgG and ASCA-IgA levels were significantly higher in patients with severe COVID-19 than in healthy controls (5.8 U/mL ± 11.8 vs 2.3 U/mL ± 2.8, p < 10^?3 and 9.2 U/mL ± 21.5 vs 3.4 U/mL ± 1.7, respectively, p < 10^?3). The mean ASCA-IgG levels were significantly higher in patients with mild COVID-19 than in healthy controls (6.2 U/mL ± 12.9 vs 2.3 U/mL ± 2.8, p < 10^?3). The mean ASCA-IgA levels were significantly higher in patients with severe than in those with mild COVID-19 (9.2 U/mL ± 21.5 vs 2.6 U/mL ± 1.2, p = 0.03).ConclusionASCA was more frequent in patients with COVID-19 than in healthy controls.     

Diagnostic prediction of COVID-19 based on clinical and radiological findings in a relatively low COVID-19 prevalence area

BackgroundDistinguishing coronavirus disease 2019 (COVID-19) pneumonia from other lung diseases is often difficult, especially in a highly comorbid patient population in a low prevalence region. We aimed to distinguish clinical data and computed tomography (CT) images between COVID-19 and other lung diseases in an advanced care hospital.MethodsWe assessed clinical characteristics, laboratory data, and chest CT images of patients with COVID-19 and non-COVID-19 patients who were suspected of having COVID-19 between February 20 and May 21, 2020, at the University of Tokyo Hospital.ResultsTypical appearance for COVID-19 on CT images were found in 24 of 29 COVID-19 cases and 21 of 168 non-COVID-19 cases, according to the Radiological Society of North America Expert Consensus Statement (for predicting COVID-19, sensitivity 0.828, specificity 0.875, positive predictive value 0.533, negative predictive value 0.967). When we focused on cases with typical CT images, loss of taste or smell, and close contact with COVID-19 patients were exclusive characteristics for the COVID-19 cases. Among laboratory data, high fibrinogen (P < 0.01) and low white blood cell count (P < 0.01) were good predictors for COVID-19 with typical CT images in multivariate analysis.ConclusionsIn a relatively low prevalence region, CT screening has high sensitivity to COVID-19 in patients with suspected symptoms. When chest CT findings are typical for COVID-19, close contact, loss of taste or smell, lower white blood cell count, and higher fibrinogen are good predictors for COVID-19.     

Actualización en COVID-19 y enfermedad hepática

The SARS-CoV-2 pandemic has proven to be a serious challenge for the Spanish healthcare system. The impact of the virus on the liver is not well known, but in patients with chronic liver disease, mostly in advanced stages, it can critically compromise survival and trigger decompensation. Treatment in this subpopulation is complex due to the potential hepatotoxicity of some of the medicinal products used. Moreover, the pandemic has also negatively impacted patients with liver disease who have not contracted COVID-19, since the reallocation of human and material resources to the care of patients with the virus has resulted in a decrease in the treatment, diagnosis and follow-up of patients with liver disease, which will surely have negative consequences in the near future. Efficient reorganization of hepatology units is a priority to minimise the impact of the pandemic on a population as vulnerable as liver disease patients.     

COVID-19 vaccination benefits in preventing severe disease in mild-to-moderate cases: An analysis in the first specialized hospital for COVID-19 in Japan

BackgroundIn Japan, the fourth round of coronavirus disease (COVID-19) vaccination is ongoing and is targeted at medical staff and nursing home workers, individuals aged ≥60 years, and those with comorbidities or other high-risk factors, including body mass index (BMI) ≥30 kg/m². The incidence of severe COVID-19 decreased markedly after widespread COVID-19 vaccination drives, and our hospital experienced a similar trend. We, therefore, examined the characteristics of our patients to clarify who benefited the most from vaccination.MethodsWe retrospectively investigated all patients hospitalized for COVID-19 in Osaka City Juso Hospital between March 1, 2021, and June 30, 2022. Using multivariable logistic analysis, we calculated the adjusted odds ratios (aORs) for severe disease after vaccination in the whole dataset and in subsets stratified by age, sex, BMI, smoking history, pre-hospitalization location, and comorbidities.ResultsThe analysis included 1041 patients. Multivariable logistic analysis showed that vaccination was associated with a low risk of severe disease, with an aOR of 0.21 (95% confidence interval: 0.12–0.36, p < 0.001). On stratifying the analysis according to background characteristics, lower aORs for severe COVID-19 were found for patients aged ≥60 years and for those with diabetes or hypertension. Notably, patients with BMI >30 kg/m² and those with BMI ≥18 kg/m² and ≤30 kg/m² benefited from vaccination.ConclusionsIndividuals with diabetes or hypertension and those of age ≥60 years benefited more from vaccination than did their counterparts. We recommend extending the fourth round of vaccinations to individuals with a BMI of 18–30 kg/m².     

A systematic review and meta-analysis of the COVID-19 associated liver injury

Introduction and ObjectivesThe novel coronavirus disease 2019 (COVID-19) has affected more than 5 million people globally. Data on the prevalence and degree of COVID-19 associated liver injury among patients with COVID-19 remain limited. We conducted a systematic review and meta-analysis to assess the prevalence and degree of liver injury between patients with severe and non-severe COVID-19.MethodsWe performed a systematic search of three electronic databases (PubMed/MEDLINE, EMBASE and Cochrane Library), from inception to 24^th April 2020. We included all adult human studies (>20 subjects) regardless of language, region or publication date or status. We assessed the pooled odds ratio (OR), mean difference (MD) and 95% confidence interval (95%CI) using the random-effects model.ResultsAmong 1543 citations, there were 24 studies (5961 subjects) which fulfilled our inclusion criteria. The pooled odds ratio for elevated ALT (OR = 2.5, 95%CI: 1.6-3.7, I² = 57%), AST (OR = 3.4, 95%CI: 2.3-5.0, I² = 56%), hyperbilirubinemia (OR = 1.7, 95%CI: 1.2-2.5, I² = 0%) and hypoalbuminemia (OR = 7.1, 95%CI: 2.1-24.1, I² = 71%) were higher subjects in critical COVID-19.ConclusionCOVID-19 associated liver injury is more common in severe COVID-19 than non-severe COVID-19. Physicians should be aware of possible progression to severe disease in subjects with COVID-19-associated liver injury.