Echocardiographic estimation of pulmonary hypertension in COVID-19 patients

Autor: A E P, Wolters, A J P, Wolters, T D A, van Kraaij, B L J H, Kietselaer
Rok vydání: 2022
Předmět:
Zdroj: Netherlands Heart Journal. 30:510-518
ISSN: 1876-6250
1568-5888
DOI: 10.1007/s12471-022-01702-x
Popis: Introduction Coronavirus disease 2019 (COVID-19) is the cause of a devastating global pandemic and is not likely to be fully resolved in the near future. In most cases COVID-19 presents with mild symptoms, but in a minority of patients respiratory and multi-organ failure may ensue. Previous research has focused on the correlation between COVID-19 and a variety of cardiovascular complications. However, the effect of COVID-19 on pulmonary hypertension (PH) and correlated cardiovascular parameters has not been evaluated extensively. Methods This study was designed as a single-centre, semi-quantitative analysis. PH was considered to be present if echocardiographic measurements estimated right ventricular systolic pressure at rest to be 36 mm Hg or higher in combination with indirect indicators of right ventricular overload. Results In total, 101 patients (67.3% male) were included in this study, with a mean age of 66 years (range 23–98 years). PH was diagnosed by echocardiographic estimation in 30 patients (29.7%). Echocardiographically estimated PH (eePH) was not correlated with a diagnosis of heart failure or pulmonary embolism. Mortality was significantly higher among COVID-19 patients with eePH (p = 0.015). In all 10 of 20 surviving eePH patients in whom echocardiographic follow-up was obtained, echocardiographic estimations of pulmonary pressures showed a significant decrease after a median of 144 ± 72 days. Conclusion eePH is frequently observed in COVID-19 patients and is correlated with increased mortality. COVID-19-related eePH appears to be reversible after recovery. Vigilant attention and a low threshold for performance of echocardiography in COVID-19 patients seems warranted, as eePH may be applicable as a prognostic risk factor.
Databáze: OpenAIRE
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