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.     

Trends in clinical features of novel coronavirus disease (COVID-19): A systematic review and meta-analysis of studies published from December 2019 to February 2020

BackgroundSince novel coronavirus disease (COVID-19) emerged, various clinical features of COVID-19 have been reported.MethodsWe conducted a systematic review of published studies reporting the clinical features of COVID-19. Two investigators independently searched PubMed (December 2019–February 2020) for eligible articles. A meta-analysis was performed to measure the frequencies of clinical outcomes and symptoms of COVID-19. A stratified analysis was conducted according to the timeline of outbreak and exposure histories: Group I, most patients were exposed to the Hunan seafood wholesale market and lived in Wuhan, Hubei province; Group II, patients lived in Hubei province but were not directly exposed to the market; and Group III, patients lived outside Hubei.ResultsThirteen studies, all from China, were eligible. The estimated mortality rate among all studies was 2.12%, but that in Group I was 8.66%. The incidence of acute respiratory distress syndrome in Group I was 20.00%. Both fever and cough were major symptoms, and their frequencies were higher in Group I than in Groups II and III, while the frequency of diarrhea in Group I was lower than that in Group III. The estimated frequency of dyspnea in Group I was 37.18%, while those in Groups II and III were 16.95% and 7.03%, respectively.ConclusionsThe trends in the clinical features of COVID-19 changed from December 2019 to February 2020. During this observation period, as the infection continued to spread, the clinical conditions for majority of patients became less severe with the changes in the route of transmission.     

Antibody responses to SARS-CoV-2 nucleocapsid and spike proteins in hospitalized patients with COVID-19: A multicenter,retrospective, cross-sectional study in Japan

BackgroundThere are many commercially available automated assays for assessing coronavirus disease 2019 (COVID-19) immune responses; however, owing to insufficient data, their validities remain unknown. Here, we examined antibody responses during acute-phase COVID-19 using four assays that detect anti-spike protein IgM (S-IgM), anti-nucleocapsid protein IgG (N-IgG), anti-spike protein total Ig (S-total Ig), and anti-spike protein IgG (S-IgG).MethodsWe measured antibody levels in 1154 serum samples collected from 286 hospitalized patients with confirmed COVID-19 by a gene amplification method between February and December 2020 in Japan. Sera from 860 healthcare workers were used as negative controls.ResultsThe antibody positivity rates increased on week 2, peaked, and then started to plateau by the beginning of week 3 after symptom onset. On week 1, there were some significant differences in seropositivity rates between assays (p = 0.032): 14.9% (11.0%–19.4%) for S-IgM and 8.9% (6.0%–12.7%) for N-IgG. The seropositivity for the S-total Ig (10.6% [7.3%–14.6%]) assay was considerably better than that for the S-IgG (6.9% [4.3%–10.4%]) assay, although the difference was not statistically significant (p = 0.150). The levels of S-IgM antibodies and the three others peaked on weeks 3 and 5, respectively. All four assays showed high specificities (>99%).ConclusionsAll four assays had good specificities and were suitable for seropositivity detection after week 3 of symptom onset. Assays of IgM alone or total Ig (containing IgM) were better than those of IgG alone as an adjunct serological test for early-stage COVID-19 diagnosis, albeit the use of a serological assay alone is insufficient.     

Increased Risk of Hospitalization in Celiac Disease With COVID-19 Infection Is Mitigated by Vaccination

1. Download : Download high-res image (189KB)
2. Download : Download full-size image

     

Monitoring Occurrence of Liver-Related Events and Survival by Transient Elastography in Patients With Nonalcoholic Fatty Liver Disease and Compensated Advanced Chronic Liver Disease

Background & AimsPatients with advanced fibrosis related to nonalcoholic fatty liver disease (NAFLD) are at risk of developing hepatic and extrahepatic complications. We investigated whether, in a large cohort of patients with NAFLD and compensated advanced chronic liver disease, baseline liver stiffness measurements (LSMs) and their changes can be used to identify patients at risk for liver-related and extrahepatic events.MethodsWe performed a retrospective analysis of consecutive patients with NAFLD (n = 1039) with a histologic diagnosis of F3–F4 fibrosis and/or LSMs>10 kPa, followed for at least 6 months, from medical centers in 6 countries. LSMs were made by FibroScan using the M or XL probe and recorded at baseline and within 1 year from the last follow-up examination. Differences between follow up and baseline LSMs were categorized as: improvement (reduction of more than 20%), stable (reduction of 20% to an increase of 20%), impairment (an increase of 20% or more). We recorded hepatic events (such as liver decompensation, ascites, encephalopathy, variceal bleeding, jaundice, or hepatocellular carcinoma [HCC]) and overall and liver-related mortality during a median follow-up time of 35 months (interquartile range, 19–63 months).ResultsBased on Cox regression analysis, baseline LSM was independently associated with occurrence of hepatic decompensation (hazard ratio [HR], 1.03; 95% CI, 1.02–1.04; P < .001), HCC (HR, 1.03; 95% CI, 1.00–1.04; P = .003), and liver-related death (HR, 1.02; 95% CI, 1.02–1.03; P = .005). In 533 patients with available LSMs during the follow-up period, change in LSM was independently associated with hepatic decompensation (HR, 1.56; 95% CI, 1.05–2.51; P = .04), HCC (HR, 1.72; 95% CI, 1.01–3.02; P = .04), overall mortality (HR, 1.73; 95% CI, 1.11–2.69; P = .01), and liver-related mortality (HR, 1.96; 95% CI, 1.10–3.38; P = .02).ConclusionsIn patients with NAFLD and compensated advanced chronic liver disease, baseline LSM and change in LSM are associated with risk of liver-related events and mortality.     

Side effects and antibody titer transition of the BNT162b2 messenger ribonucleic acid coronavirus disease 2019 vaccine in Japan

BackgroundThe coronavirus disease (COVID-19) has afflicted large populations worldwide. Although vaccines aroused great expectations, their side effects on Japanese people and the antibody titer transition after vaccination are unclear.MethodsThe side effects of the BNT162b2 mRNA COVID-19 vaccine in participants who received vaccination at our center were investigated. Some participants were also surveyed for the antibody titer transition.ResultsIn this study, 983 and 798 Japanese participants responded to the first and second doses, respectively. Side effects occurred in 757 (77.0%) and 715 participants (90.0%) after the first and second doses, respectively. No Grade 4 side effects occurred. The second dose had significantly more side effects than the first dose (p < 0.001). Side effects occurred after the second dose in 571 female (92.1%) and 178 male participants (80.1%). Female participants had a higher incidence of side effects than the male participants (p < 0.001). A comparison among the age groups showed significant differences (p = 0.018), and the frequency of side effects decreased with age. Twenty-three individuals participated in the survey of antibody titer transition. After the second vaccine dose, the median antibody titers for IgG and IgM were 3.76 and 0.07 AU/mL, respectively. Both IgG and IgM titers showed a significant increase over the study period (p < 0.001).ConclusionsThe BNT162b2 mRNA COVID-19 vaccine might be safe for Japanese people, and the antibody titer increased with two doses of vaccination. Larger nationwide studies are warranted to verify these findings.