Background: Mitral annulus calcification (MAC) is an important echocardiographic finding that is significantly associated with valvular abnormalities. However, the effect of documented MAC on all-cause mortality is not known. Using a large database, associations between MAC and long-term all-cause mortality were evaluated.
Methods: A retrospective analysis of 3169 echocardiograms, which were performed for clinical reasons in southern California between 1983 and 1998 in patients between 16 and 99 years of age, was performed. Mortality data were extracted from the national mortality database at the end of 2007. Using uni- and multivariate analysis, associations between total mortality and the echocardiographic presence of MAC documented in the final report by the interpreting cardiologist were evaluated.
Results: MAC was significantly associated with all-cause mortality (174 of 334 [52.1%] patients with MAC died versus 709 of 2835 [25.0%] patients without MAC; OR 3.26 [95% CI 2.58 to 4.10]; P<0.001). Using multivariate analysis adjusting for age, left ventricular hypertrophy, sex, abnormal left ventricular systolic function and significant valvular abnormalities, MAC remained independently associated with all-cause mortality (OR 2.50 [95% CI 1.81 to 3.45]; P<0.001).
Conclusion: Using a large echocardiographic database, MAC was found to be independently associated with all-cause mortality. This finding confirms the importance of an abnormal mitral annulus as an important prognostic marker.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716491 | PMC |
J Multimorb Comorb
January 2025
Trinity Health of New England, St. Francis Hospital, Hartford, CT, USA.
Background: Since comorbid conditions are frequently present in chronic obstructive pulmonary disease (COPD) and affect outcome, a composite scoring system to quantify comorbidity might be helpful in assessing mortality risk.
Methods: We tested the hypothesis that the Charlson Comorbidity Index (CCI) score at the time of an outpatient medical clinic encounter for COPD predicts all-cause mortality. Cox Proportional Hazards analyses were used in 200 randomly selected patients to relate CCI scores to all-cause mortality out to 5 years.
JACC Adv
February 2025
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Background: Atrial fibrillation (AF) and heart failure (HF) often coexist and impact morbidity and mortality. There is limited knowledge on the association of AF subtypes with HF according to sex.
Objectives: The purpose of this study was to explore sex-specific associations between AF subtypes and subsequent HF, identifying HF risk factors in participants with AF, and exploring the combined impact on mortality.
Front Cell Infect Microbiol
January 2025
Department of Critical Care Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China.
Background: The D-dimer to lymphocyte ratio (DLR), a novel inflammatory biomarker, had been shown to be related to adverse outcomes in patients with various diseases. However, there was limited research on the relationship between the DLR and adverse outcomes in patients with infectious diseases, particularly those with sepsis. Therefore, this study aimed to explore the association between the DLR and in hospital all-cause mortality in elderly patients with sepsis.
View Article and Find Full Text PDFTransplant Direct
March 2024
Department of Nephrology, Odense University Hospital, Odense, Denmark.
Background: Kidney fibrosis is a suggested cause of kidney failure and premature mortality. Because collagen type VI is closely linked to kidney fibrosis, we aimed to evaluate whether urinary endotrophin, a collagen type VI fragment, is associated with graft failure and mortality among kidney transplant recipients (KTR).
Methods: In this prospective cohort study, KTR with a functioning graft ≥1-y posttransplantation were recruited; 24-h urinary endotrophin excretion was measured using an ELISA method.
Lancet Reg Health West Pac
January 2025
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China.
Background: Due to global climate change, high temperature and heatwaves have become critical issues that pose a threat to human health. An effective early warning system is essential to mitigate the health risks associated with high temperature and heatwaves. However, most of the current heatwave early warning systems are not adequately developed based on the heat-health risk model, and the health impact of hot weather has not been well managed in most countries.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!