BACKGROUND Patients with chronic heart failure(CHF)have a progressive disease that is associated with poor quality of life and high mortality.Many patients experience anxiety and depression(A&D)symptoms,which can ...BACKGROUND Patients with chronic heart failure(CHF)have a progressive disease that is associated with poor quality of life and high mortality.Many patients experience anxiety and depression(A&D)symptoms,which can further accelerate disease progression.We hypothesized that indicators of myocardial function and inflammatory stress may reflect the severity of A&D symptoms in patients with CHF.Changes in these biomarkers could potentially predict whether A&D symptoms will deteriorate further in these individuals.AIM To measure changes in cardiac and inflammatory markers in patients with CHF to determine A&D severity and predict outcomes.METHODS We retrospectively analyzed 233 patients with CHF treated at the Jingzhou Hospital,Yangtze University between 2018-2022 and grouped them according to Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)scores.We compared clinical data in the no-A&D,mild-A&D,moderate-A&D,and severe-A&D groups,the SAS and SDS scores with the New York Heart Association(NYHA)functional classification,and cardiac markers and inflammatory factors between the no/mild-A&D and moderate/severe-A&D groups.Regression analysis was performed on the markers with P<0.05 to determine their ability to predict A&D severity in patients and the area under the receiver operating characteristic curve(AUROC)was used to evaluate their accuracy.RESULTS In the inter-group comparison,the following variables had an effect on A&D severity in patients with CHF:NYHA class,left ventricular ejection fraction(LVEF),left ventricular end-diastolic diameter,N-terminal pro-brain natriuretic peptide(NT-proBNP),interleukin-6(IL-6),and tumor necrosis factor-alpha(P<0.05).Other variables did not differ significantly between the A&D groups(P>0.05).In addition,we found that higher NYHA classes were associated with higher the SAS and SDS scores(P<0.05).Regression analysis showed that LVEF,NTproBNP,and IL-6 were independent risk factors for A&D severity(P<0.05).Among them,NT-proBNP had the best predictive ability as a single indicator(AUROC=0.781).Furthermore,the combination of these three indicators exhibited a good predictive effect toward discriminating the extent of A&D severity among patients(AUROC=0.875).CONCLUSION Cardiac and inflammatory biomarkers,such as LVEF,NT-proBNP,and IL-6,are correlated with A&D severity in patients with CHF and have predictive value.展开更多
文摘BACKGROUND Patients with chronic heart failure(CHF)have a progressive disease that is associated with poor quality of life and high mortality.Many patients experience anxiety and depression(A&D)symptoms,which can further accelerate disease progression.We hypothesized that indicators of myocardial function and inflammatory stress may reflect the severity of A&D symptoms in patients with CHF.Changes in these biomarkers could potentially predict whether A&D symptoms will deteriorate further in these individuals.AIM To measure changes in cardiac and inflammatory markers in patients with CHF to determine A&D severity and predict outcomes.METHODS We retrospectively analyzed 233 patients with CHF treated at the Jingzhou Hospital,Yangtze University between 2018-2022 and grouped them according to Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)scores.We compared clinical data in the no-A&D,mild-A&D,moderate-A&D,and severe-A&D groups,the SAS and SDS scores with the New York Heart Association(NYHA)functional classification,and cardiac markers and inflammatory factors between the no/mild-A&D and moderate/severe-A&D groups.Regression analysis was performed on the markers with P<0.05 to determine their ability to predict A&D severity in patients and the area under the receiver operating characteristic curve(AUROC)was used to evaluate their accuracy.RESULTS In the inter-group comparison,the following variables had an effect on A&D severity in patients with CHF:NYHA class,left ventricular ejection fraction(LVEF),left ventricular end-diastolic diameter,N-terminal pro-brain natriuretic peptide(NT-proBNP),interleukin-6(IL-6),and tumor necrosis factor-alpha(P<0.05).Other variables did not differ significantly between the A&D groups(P>0.05).In addition,we found that higher NYHA classes were associated with higher the SAS and SDS scores(P<0.05).Regression analysis showed that LVEF,NTproBNP,and IL-6 were independent risk factors for A&D severity(P<0.05).Among them,NT-proBNP had the best predictive ability as a single indicator(AUROC=0.781).Furthermore,the combination of these three indicators exhibited a good predictive effect toward discriminating the extent of A&D severity among patients(AUROC=0.875).CONCLUSION Cardiac and inflammatory biomarkers,such as LVEF,NT-proBNP,and IL-6,are correlated with A&D severity in patients with CHF and have predictive value.
