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

Erector Spinae Muscle to Epicardial Visceral Fat Ratio on Chest CT Predicts the Severity of Coronavirus Disease 2019

BACKGROUND

Chest computed tomography (CT) is a valuable tool for diagnosing and predicting the severity of coronavirus disease 2019 (COVID-19) and assessing extrapulmonary organs. Reduced muscle mass and visceral fat accumulation are important features of a body composition phenotype in which obesity and muscle loss coexist, but their relationship with COVID-19 outcomes remains unclear. In this study, we aimed to investigate the association between the erector spinae muscle (ESM) to epicardial adipose tissue (EAT) ratio (ESM/EAT) on chest CT and disease severity in patients with COVID-19.

METHODS

We analysed data from 1074 COVID-19 patients enrolled in the Japan COVID-19 Task Force database. The primary outcome was the rate of critical outcomes (requiring high-flow oxygen therapy, invasive ventilator support or death). The incidence of critical outcomes was compared between patients with high and low ESM/EAT ratios.

RESULTS

The low ESM/EAT group (n = 353) had a higher incidence of critical outcomes (13.3% vs. 5.13%, p < 0.001) and mortality (2.55% vs. 0.69%, p = 0.019) than the high ESM/EAT group (n = 721). In multivariable analysis, the low ESM/EAT ratio was associated with critical outcomes (adjusted odds ratio [aOR] 2.11, 95% confidence interval [CI] 1.22-3.66) independently of the known COVID-19 severity factors including age, sex, body mass index (BMI), smoking history, lifestyle-related comorbidities and pneumonia volume.

CONCLUSION

The low ESM/EAT ratio in COVID-19 patients can be obtained on chest CT and used to predict critical outcomes after disease onset, demonstrating the importance of detailed body composition assessments in COVID-19 practice.

Coronary Artery Calcification on Chest Computed Tomography as a Predictor of Cardiovascular Adverse Events in Patients With COVID-19 - A Multicenter Retrospective Study in Japan

BACKGROUND

Coronary artery calcification (CAC) detected through chest computed tomography (CT) strongly predicts cardiovascular events in asymptomatic individuals undergoing primary prevention. Few studies with limited sample sizes have investigated the predictive value of CAC for cardiovascular complications in COVID-19. This study examined the impact of CAC on cardiovascular complications using a large-scale COVID-19 database.

METHODS AND RESULTS

This multicenter retrospective cohort study used data from the Japan COVID-19 Task Force database. After exclusion based on missing information, 1,109 patients with COVID-19 were included. The Agatston score was used to evaluate CAC, dividing the population into 3 groups based on calcification degree (no, moderate, and severe CAC). The primary outcome was cardiovascular complications; the secondary outcome was critical outcomes. The severe CAC group had a higher rate of cardiovascular complications than the other groups. Multivariable analysis, considering COVID-19 severity factors, identified severe CAC as independently associated with cardiovascular complications but not with critical outcomes. Subgroup analysis revealed that, in patients without hypertension, diabetes, cardiovascular disease, or chronic kidney disease, severe CAC was significantly correlated with cardiovascular complications, whereas this association was not observed in patients with these underlying conditions.

CONCLUSIONS

Patients with COVID-19 and severe CAC had increased cardiovascular complications, and identifying cardiovascular and pulmonary findings on chest CT is essential. Measuring CAC via non-electrocardiogram-gated CT helps predict patient risk.

Predictive significance of hypertension in the incidence of complications in critically ill patients with COVID‑19: A retrospective cohort study

The association between hypertension as a pre-existing comorbidity and the severe form of coronavirus disease 2019 (COVID-19) remains unclear due to the contradictory results of previously published studies. The present study evaluated the predictive significance of hypertension in the incidence of complications among critically ill patients with COVID-19. The present study included 372 critically ill adults with COVID-19 pneumonia, hospitalized between January 1 and December 31, 2021. The study cohort was divided into the hypertension group (HTA group), which included 245 patients with a history of hypertension, or a non-HTA group (control group), which included 127 patients without hypertension. The incidence of complications was retrospectively extracted from medical records and compared between groups. Multivariate regression analysis (adjusted for potential confounders) and receiver operating characteristic (ROC) curve analysis determined the predictive significance of hypertension on the incidence of complications. The patients in the HTA group were more likely to receive invasive mechanical ventilation [odds ratio (OR), 1.696; P<0.02], develop sepsis (OR, 1.807; P<0.01) and develop complications (OR, 3.101; P<0.001). Hypertension was an independent positive predictor for invasive mechanical ventilation [area under the curve (AUC), 0.67; positive predictive value (PPV), 71.7%; P<0.05], sepsis (AUC, 0.69; PPV, 77.5%; P<0.026) and total complications per patient (AUC, 0.71; PPV, 81.4%; P<0.001). On the whole, the data of the present study indicate that a history of hypertension should be considered as an independent clinical predictor of a higher incidence of complications in critically ill patients with COVID-19. Patients with pre-existing hypertension and a diagnosis of COVID-19 require timely identification, additional attention and treatment to avoid a critical course and help improve outcomes.