RESUMO
Background: Impaired physical functional status is one of the typical long-term sequelae of COVID-19 infection that significantly affects the quality of life and work capacity. Minor changes in cardiac structure and function that are unable to cause the manifestation of overt heart failure may remain undetected in COVID-19 convalescents, at the same time potentially contributing to the persistence of symptoms and development of long COVID syndrome. Purpose: To study the typical features and short-term dynamics of cardiac remodeling and possible signs of cardiac dysfunction following hospitalization for COVID-19. Methods: This is a combined cross-sectional and longitudinal cohort study in which 176 hospitalized patients (93 female and 83 male, mean age 53.4 ± 13.6 years) with COVID-19 infection underwent comprehensive transthoracic echocardiography pre-discharge (22.6 ± 7.1 days from the onset of symptoms) with repeated evaluation after 1 month. The control group included 88 age-, sex-, height- and weight-matched healthy individuals, with a subset of those (n = 53) matched to the subset of non-hypertensive study participants (n = 106). Results: Concentric left ventricular geometry was revealed in 59% of participants, including 43% of non-hypertensive subjects; predominantly Grade I diastolic dysfunction was found in 35 and 25% of patients, respectively. Other findings were naturally following from described phenotype of the left venticle and included a mild increase in the absolute and relative wall thickness (0.45 ± 0.07 vs. 0.39 ± 0.04, p < 0.001), worsening of diastolic indices (e' velocity 9.2 ± 2.2 vs. 11.3 ± 2.6â cm/s, p < 0.001, E/e' ratio 7.5 ± 1.8 vs. 6.8 ± 1.7, p = 0.002) and global longitudinal strain (17.5 ± 2.4 vs. 18.6 ± 2.2, p < 0.001). No significant improvement was found on re-evaluation at 1 month. Conclusions: Hospitalized patients recovering from COVID-19 were characterized by a high prevalence of left ventricular concentric remodeling, predominantly Grade I diastolic dysfunction, and a mild decrease in the longitudinal systolic function. These changes were less frequent but still prevalent in the non-hypertensive subgroup and largely persisted throughout the 1-month follow-up.
RESUMO
Background: Post-COVID-19 syndrome (PCS) has been increasingly recognized as an emerging problem: 50% of patients report ongoing symptoms 1 year after acute infection, with most typical manifestations (fatigue, dyspnea, psychiatric and neurological symptoms) having potentially debilitating effect. Early identification of high-risk candidates for PCS development would facilitate the optimal use of resources directed to rehabilitation of COVID-19 convalescents. Objective: To study the in-hospital clinical characteristics of COVID-19 survivors presenting with self-reported PCS at 3 months and to identify the early predictors of its development. Methods: 221 hospitalized COVID-19 patients underwent symptoms assessment, 6-min walk test, and echocardiography pre-discharge and at 1 month; presence of PCS was assessed 3 months after discharge. Unsupervised machine learning was used to build a SANN-based binary classification model of PCS development. Results: PCS at 3 months has been detected in 75% patients. Higher symptoms level in the PCS group was not associated with worse physical functional recovery or significant echocardiographic changes. Despite identification of a set of pre-discharge predictors, inclusion of parameters obtained at 1 month proved necessary to obtain a high accuracy model of PCS development, with inputs list including age, sex, in-hospital levels of CRP, eGFR and need for oxygen supplementation, and level of post-exertional symptoms at 1 month after discharge (fatigue and dyspnea in 6MWT and MRC Dyspnea score). Conclusion: Hospitalized COVID-19 survivors at 3 months were characterized by 75% prevalence of PCS, the development of which could be predicted with an 89% accuracy using the derived neural network-based classification model.