Galectin-3 as a Novel Biomarker for Predicting Clinical Outcomes in Hospitalized COVID-19 Patients.

BACKGROUND: Galectin-3 has been shown to play a key pathophysiological role in pulmonary associated inflammatory response and lung fibrosis in COVID-19 and is a mediator for viral adhesion. However, there is limited data about its potential role in severity and prognosis of COVID-19. This study aimed to investigate the predictive role of serum galectin-3 concentrations in the severe clinical outcomes of hospitalized COVID-19 patients: the severity of pneumonia, in-hospital mortality, and the need for intensive care unit (ICU) admission. METHODS: This single-center study included 68 patients with laboratory- and radiologically-confirmed COVID-19 admitted to our emergency department. The study population was divided into patients with primary clinical out-comes (n = 32) and those without (n = 36). The need for ICU admission and/or in-hospital mortality were the primary clinical endpoints. The study group was also classified based on pneumonia severity: severe or mild/moderate. Blood samples were collected within 48 hours of admission to estimate serum galectin-3 concentrations. RESULTS: Multivariate regression analysis showed that lower concentrations of galectin-3 and arterial oxygen saturation (SpO2) were independently associated with the primary clinical outcomes (OR = 0.951, p = 0.035; OR = 0.862, p = 0.017, respectively); increased concentrations of galectin-3 were an independent predictor of severe pneumonia (OR = 1.087, p = 0.016). In the receiver operating characteristics curve analysis, serum galectin-3 concentrations at hospital admission predicted pneumonia severity with 52.1% sensitivity and 90% specificity with a cutoff of 38.76 ng/mL. CONCLUSIONS: Circulating galectin-3 at hospital admission could be a useful biomarker for identifying COVID-19 patients at high risk for severe pneumonia.

Evaluation of depression, anxiety, and stress symptoms and their relationship with subclinical myocardial dysfunction by left ventricular global longitudinal

Background The coronavirus disease 2019 (COVID-19) has had a great impact on patients’ physical problems as well as psychological status. However, there is limited data about the impact of psychological problems on cardiac function during the COVID-19 pandemic. In this study, we aimed to investigate the relationship between mental health disorders and subclinical early myocardial systolic dysfunction by left ventricular global longitudinal strain (LVGLS) imaging in patients recovered from COVID-19. Methods Of the 108 participants, 71 patients had recovered from COVID-19;the members of the study group were prospectively recruited to the study after COVID-19 recovery. Comparisons were made with a risk-factor matched control group (n=37). The psychological status of the subjects, namely, Depression, Anxiety and Stress Scale-21 (DASS-21), and the Impact of Events Scale (IES-R) at follow-up visits, were assessed via questionnaire forms. The relationship between the psychological parameters and LVGLS values was subsequently evaluated. Results Overall, 45.0% of patients with COVID-19 had some degree of anxiety after recovery. A significant negative correlation was found between LVGLS and DASS-21 total score, DASS-21 anxiety subscale score, IES-R total score, and IES-R intrusion subscale score (r= -0.251, p=0.02;r= -0.285, p=0.008;r= -0.291, p=0.007;and r= -0.367, p=0.001, respectively). Furthermore, the DASS-21 total score was identified as an independent predictor of LVGLS (β= -0.186, p=0.03). Conclusions Patients who suffered from the COVID-19 disease may have experienced psychological distress symptoms due to COVID-19, which may be associated with silent impairment in myocardial systolic functions measured by global longitudinal strain analysis.

Impairment of right ventricular longitudinal strain associated with severity of pneumonia in patients recovered from COVID-19.

Myocardial injury caused by COVID-19 was reported in hospitalized patients previously. But the information about cardiac consequences of COVID-19 after recovery is limited. The aim of the study was comprehensive echocardiography assessment of right ventricular (RV) in patients recovered from COVID-19. This is a prospective, single-center study. After recovery from COVID-19, echocardiography was performed in consecutive 79 patients that attended follow-up visits from July 15 to November 30, 2020. According to the recovery at home vs hospital, patients were divided into two groups: home recovery (n = 43) and hospital recovery (n = 36). Comparisons were made with age, sex and risk factor-matched control group (n = 41). In addition to conventional echocardiography parameters, RV global longitudinal strain (RV-GLS) and RV free wall strain (RV-FWS) were determined using 2D speckle-tracking echocardiography (2D STE). Of the 79 patients recovered from COVID-19, 43 (55%) recovered at home, while 36 (45%) required hospitalization. The median follow-up duration was 133  ±  35 (87-184) days. In patients recovered from hospital, RV-GLS and RV-FWS were impaired compared to control group (RV-GLS: -17.3  ±  6.8 vs. -20.4  ±  4.9, respectively [p = 0.042]; RV-FWS: -19.0  ±  8.2 vs. -23.4  ±  6.2, respectively [p = 0.022]). In subgroup analysis, RV-FWS was impaired in patients severe pneumonia (n = 11) compared to mild-moderate pneumonia (n = 28), without pneumonia (n = 40) and control groups (-15.8  ±  7.6 vs. -21.6  ±  7.6 vs. -20.8  ±  7.7 vs. -23.4  ±  6.2, respectively, [p = 0.001 for each]) and RV-GLS was impaired compared to control group (-15.2  ±  6.9 vs. -20.4  ±  4; respectively, [p = 0.013]). A significant correlation was detected between serum CRP level at hospital admission and both RV-GLS and RV-FWS (r = 0.285, p = 0.006; r = 0.294, p = 0.004, respectively). Age (OR 0.948, p = 0.010), male gender (OR 0.289, p = 0.009), pneumonia on CT (OR 0.019, p = 0.004), and need of steroid in treatment (OR 17.424, p = 0.038) were identifed as independent predictors of impaired RV-FWS (> -18) via multivariate analysis. We demonstrated subclinic dysfunction of RV by 2D-STE in hospitalized patients in relation to the severity of pneumonia after recovery from COVID-19. 2D-STE supplies additional information above standard measures of RV in this cohort and can be used in the follow-up of these patients.

Evaluation the relationship of left ventricular global longitudinal strain and laboratory parameters in discharged patients with COVID-19: a follow-up study.

BACKGROUND: The novel coronavirus infection (COVID-19) disease has spread rapidly and posed a great threat to global public health. The laboratory parameters and clinical outcomes of the disease in discharged patients remain unknown. In this study, we aimed to investigate the laboratory and echocardiographic findings of patients with COVID-19 after discharge and the relation between left ventricular global longitudinal strain (LVGLS) and inflammatory parameters in discharged patients. METHODS: A total of 75 patients recovering from COVID-19 as the study group were prospectively recruited from the COVID-19 outpatient clinic for their follow-up visits at a median 6 months after discharge. Patients were classified into groups according to pneumonia severity and impairment in LVGLS. Laboratory findings of patients both at admission and after discharge were evaluated and the relation with pneumonia severity at admission and LVGLS after discharge were analyzed. RESULTS: Serum ferritin, lactate dehydrogenase (LDH) and prohormone B-type natriuretic peptide (pro-BNP) levels after discharge were significantly higher in the study group than the control group (n = 44). Ferritin was found to be related to pneumonia severity. Serum ferritin and LDH values after discharge were significantly higher in patients with impaired LVGLS than those with preserved. There was a significant correlation between LVGLS, serum ferritin and LDH values after discharge (r = -0.252, p = 0.012; r = -0.268, p = 0.005, respectively). CONCLUSIONS: Clinicians should pay close attention to the serum ferritin and LDH levels in discharged patients for predicting the severity of COVID-19 disease and early identification of subclinical left ventricular myocardial dysfunction.