Introduction: The aim of this study was to determine whether impaired adaptation of the QT interval to changes in heart rate predicts sudden death in patients with chronic heart failure (CHF).
Methods: We prospectively included 175 CHF patients in sinus rhythm. QT dynamicity was evaluated by analyzing 24-h Holter recordings. The linear regression slope of QT interval measured to the apex and to the end of T wave plotted against RR intervals was calculated using a dedicated Holter algorithm.
Results: Mean follow-up was 29.9+/-17.9 months. There were 48 deaths, of which 21 were sudden. The actuarial 3-year mortality rates were 38.4% for overall mortality and 14.1% for sudden death. Of all the parameters, an increased QTe/RR slope (>0.28) was the strongest independent predictor of sudden death (relative risk 3.47, 95% confidence interval 1.43-8.40, p=0.006).
Conclusion: Increased 24-h QTe dynamicity is independently predictive of sudden death among patients with heart failure. This simple parameter may help to stratify risk and select patients who may benefit from antiarrhythmic prophylaxis.
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http://dx.doi.org/10.1016/j.ejheart.2004.10.016 | DOI Listing |
Sci Rep
December 2024
Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, 1060 William Moore Dr, Raleigh, NC, 27607, USA.
Hypertrophic cardiomyopathy (HCM) afflicts humans, cats, pigs, and rhesus macaques. Disease sequelae include congestive heart failure, thromboembolism, and sudden cardiac death (SCD). Sarcomeric mutations explain some human and cat cases, however, the molecular basis in rhesus macaques remains unknown.
View Article and Find Full Text PDFGene
December 2024
Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, China; Department of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China. Electronic address:
Background/aim: Autosomal-recessive carnitine-acylcarnitine translocase deficiency (CACTD) is a rare disorder of long-chain fatty acid oxidation caused by variants in the SLC25A20 gene. Under fasting conditions, most newborns with severe CACTD experience sudden cardiac arrest and hypotonia, often leading to premature death due to rapid disease progression. Understanding of genetic factors and pathogenic mechanisms in CACTD is essential for its diagnosis, treatment, and prevention.
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December 2024
Department of Physiology, School of Medicine, University of Louisville, Louisville, KY, USA.
Background -Smoking is associated with arrhythmia and sudden cardiac death, but the biological mechanisms remain unclear. In electrocardiogram (ECG) recordings abnormal durations of ventricular repolarization (QT interval), atrial depolarization (P wave), and atrioventricular depolarization (PR interval and segment), predict cardiac arrhythmia and mortality. Previous analyses of the National Health and Nutrition Examination Survey (NHANES) database for associations between smoking and ECG abnormalities were incomplete.
View Article and Find Full Text PDFPediatrics
December 2024
Robert's Program on Sudden Unexpected Death in Pediatrics, Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts.
Background And Objectives: A death scene investigation is required to determine sudden infant death syndrome, and a doll reenactment optimizes the information obtained. The aim of this study was to explore how acutely bereaved parents experience doll reenactments that are conducted after the sudden and unexpected deaths of their infants.
Methods: A mixed-methods design, including surveys and semi-structured interviews, was used in a cross-sectional, national study to explore the experiences of doll reenactment among 45 bereaved parents.
J Pediatr
December 2024
Division of Neonatology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania.
Objective: To investigate individual-, hospital-, and community-level factors associated with sudden unexpected infant death (SUID) among infants born preterm.
Study Design: The following linked dataset from 5 states (California, Michigan, Oregon, Pennsylvania, and South Carolina) from 2005 through 2020 was used: 1) infant birth and death certificates; 2) maternal and infant birth hospitalization discharge records; 3) birthing hospital data from the American Hospital Association; and 4) community-level data from the Social Vulnerability Index (SVI).) Multivariable models were used to assess the independent association between these multi-level factors and SUID, adjusting for several maternal and infant characteristics.
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