BACKGROUND There is scarce data on the long-term mortality and associated prognostic factors in patients with dilated car-diomyopathy(DCM).The study aimed to investigate the all-cause mortality up to 15 years(mean 7.9...BACKGROUND There is scarce data on the long-term mortality and associated prognostic factors in patients with dilated car-diomyopathy(DCM).The study aimed to investigate the all-cause mortality up to 15 years(mean 7.9±5.7 years)in such patients,and the independent prognostic factors influencing their long-term mortality.METHODS One hundred and sixty-six consecutive patients with DCM were prospectively enrolled from 2002 to 2003.The mean age of patients was 59.5±10.4 years,and approximately 57%were male.They were followed up by telephone or outpa-tient visit at least every three months until 2019 or all-cause death occurred.Predictors of mortality were identified using mul-tivariate logistic regression analysis.RESULTS During the 15 years of follow-up,five patients were lost to follow-up,and the complete data records of 161 patients were included in the analysis.Patients were treated with angiotensin-converting-enzyme inhibitors(ACEI)or angiotensin-recept-or blocker(ARB),β-blockers,mineralocorticoid receptor antagonist(MRA),diuretics and digitalis from 2002 to 2004,and main-tained at the maximum tolerated doses between 2004 and 2019.Our safety targets to maintain heart rate and blood pressure at 60-80 beats/min and 90-120/60-80 mmHg,respectively.All-cause mortality in the first five years was 55.9%.The independent risk factors for the 5-year mortality were age≥70 years old(OR=5.45,P=0.006),systolic blood pressure(SBP)>120 mmHg(OR=3.63,P=0.004),6-minute walk distance(6MWD)<450 m(OR=3.84,P=0.001).15-year all-cause mortality was 65.8%.The inde-pendent risk factors for 15-year mortality were age≥70 years old(OR=16.07,P=0.009),LVEF≤35%(OR=5.69,P=0.003),and SBP>120 mmHg(OR=9.56,P<0.001).CONCLUSIONS This study was the first to demonstrate the 15-year survival rate of 34%in DCM patients.The DCM patients’first five-year all-cause mortality decreased significantly after continuous standardized treatment and intensive management.The mortality then plateaued in the following 10 years.Age≥70 years,LVEF≤35%,and SBP>120 mmHg were independent predict-ors of 15-year all-cause mortality.展开更多
Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary mea...Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment.Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.Specialized physicians usually require extensive training and experience to capture changes in these features.Advancements in deep learning technology have provided technical support for capturing non-biological markers.Several researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening.This article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.展开更多
文摘BACKGROUND There is scarce data on the long-term mortality and associated prognostic factors in patients with dilated car-diomyopathy(DCM).The study aimed to investigate the all-cause mortality up to 15 years(mean 7.9±5.7 years)in such patients,and the independent prognostic factors influencing their long-term mortality.METHODS One hundred and sixty-six consecutive patients with DCM were prospectively enrolled from 2002 to 2003.The mean age of patients was 59.5±10.4 years,and approximately 57%were male.They were followed up by telephone or outpa-tient visit at least every three months until 2019 or all-cause death occurred.Predictors of mortality were identified using mul-tivariate logistic regression analysis.RESULTS During the 15 years of follow-up,five patients were lost to follow-up,and the complete data records of 161 patients were included in the analysis.Patients were treated with angiotensin-converting-enzyme inhibitors(ACEI)or angiotensin-recept-or blocker(ARB),β-blockers,mineralocorticoid receptor antagonist(MRA),diuretics and digitalis from 2002 to 2004,and main-tained at the maximum tolerated doses between 2004 and 2019.Our safety targets to maintain heart rate and blood pressure at 60-80 beats/min and 90-120/60-80 mmHg,respectively.All-cause mortality in the first five years was 55.9%.The independent risk factors for the 5-year mortality were age≥70 years old(OR=5.45,P=0.006),systolic blood pressure(SBP)>120 mmHg(OR=3.63,P=0.004),6-minute walk distance(6MWD)<450 m(OR=3.84,P=0.001).15-year all-cause mortality was 65.8%.The inde-pendent risk factors for 15-year mortality were age≥70 years old(OR=16.07,P=0.009),LVEF≤35%(OR=5.69,P=0.003),and SBP>120 mmHg(OR=9.56,P<0.001).CONCLUSIONS This study was the first to demonstrate the 15-year survival rate of 34%in DCM patients.The DCM patients’first five-year all-cause mortality decreased significantly after continuous standardized treatment and intensive management.The mortality then plateaued in the following 10 years.Age≥70 years,LVEF≤35%,and SBP>120 mmHg were independent predict-ors of 15-year all-cause mortality.
基金Supported by Shandong Province Key R and D Program,No.2021SFGC0504Shandong Provincial Natural Science Foundation,No.ZR2021MF079Science and Technology Development Plan of Jinan(Clinical Medicine Science and Technology Innovation Plan),No.202225054.
文摘Depression is a common mental health disorder.With current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment.Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.Specialized physicians usually require extensive training and experience to capture changes in these features.Advancements in deep learning technology have provided technical support for capturing non-biological markers.Several researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening.This article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.
