董洋
阜外华中心血管病医院 肾内科
PURPOSE:Thyroid function is closely related to the prognosis of cardiovascular diseases. This study aimed to explore the predictive value of thyroid hormones for adverse cardiovascular outcomes in left ventricular noncompaction (LVNC).METHODS:This longitudinal cohort study enrolled 388 consecutive LVNC patients with complete thyroid function profiles and comprehensive cardiovascular assessment. Potential predictors for adverse outcomes were thoroughly evaluated.RESULTS:Over a median follow-up of 5.22 years, primary outcome (the combination of cardiovascular mortality and heart transplantation) occurred in 98 (25.3%) patients. For secondary outcomes, 75 (19.3%) patients died and 130 (33.5%) patients experienced major adverse cardiovascular events (MACE). Multivariable Cox analysis identified that free triiodothyronine (FT3) was independently associated with both primary (HR 0.455, 95%CI 0.313-0.664) and secondary (HR 0.547, 95%CI 0.349-0.858; HR 0.663, 95%CI 0.475-0.925) outcomes. Restricted cubic spline analysis illustrated that the risk for adverse outcomes increased significantly with the decline of serum FT3. The LVNC cohort was further stratified according to tertiles of FT3 levels. Individuals with lower FT3 levels in the tertile 1 group suffered from severe cardiac dysfunction and remodeling, resulting in higher incidence of mortality and MACE (Log-rank P < 0.001). Subgroup analysis revealed that lower concentration of FT3 was linked to worse prognosis, particularly for patients with left atrial diameter ≥ 40 mm or left ventricular ejection fraction ≤ 35%. Adding FT3 to the pre-existing risk score for MACE in LVNC improved its predictive performance.CONCLUSION:Through the long-term investigation on a large LVNC cohort, we demonstrated that low FT3 level was an independent predictor for adverse cardiovascular outcomes.
Journal of endocrinological investigation 2024
This study investigated the clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in patients in designated hospitals (Port Hospital) in the Henan province. A total of 391 COVID-19 patients with complete case information from August 6, 2021 to February 26, 2022 were selected. Logistic regression was used to analyze the differences between the clinical types, ages, and sex of the patients. Multivariate regression analysis of the severe group indicated that underlying diseases [odds ratio (OR):6.76, 95% confidence interval (CI):1.83-24.93], increased urea levels (OR: 1.41, 95% CI: 1.04-1.91), old age (OR: 1.05, 95% CI: 1.00-1.10), and increased lactic dehydrogenase (OR: 1.02, 95% CI: 1.01-1.03) levels and decreased hemoglobin (OR: 0.95, 95% CI: 0.91-1.00) levels were predictors of illness severity. Multivariate regression analysis for those > 50 years of age showed that underlying diseases (OR: 7.06, 95% CI: 2.79-17.89) and increased urea (OR: 1.91, 95% CI: 1.47-2.48), total bilirubin (OR: 1.14, 95% CI: 1.08-1.21), total protein (OR: 1.08, 95% CI: 1.00-1.17), and lactic dehydrogenase (OR: 1.01, 95% CI: 1.00-1.02) levels and decreased albumin (OR: 0.66, 95% CI: 0.58-0.76) levels were characteristics of COVID-19. Multivariate regression analysis stratified by sex showed that the characteristics of COVID-19 patients were increased white blood cell count in males (OR: 0.66, 95% CI: 0.55-0.78) as well as increased creatinine levels (OR: 0.89, 95% CI: 0.87-0.91). This retrospective analysis provides useful information to support the clinical management of patients with COVID-19.
Medicine 2023
