ArticleCureus2025
Age and New York Heart Association Class as Predictors of Surgical Outcomes in Patients With Infective Endocarditis.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Development and validation of a machine learning model for predicting 6-month mortality in patients with infective endocarditis.Biomedical engineering online · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Infective endocarditis is a life-threatening cardiovascular condition with high morbidity and mortality rates. Despite advances in surgical and medical care, outcomes vary widely, particularly among older patients and those with impaired cardiac function. The New York Heart Association (NYHA) classification is commonly used to assess functional status, and age is an established predictor of adverse postoperative outcomes. Objective To evaluate whether age and NYHA functional class are independently associated with postoperative recovery and 30-day mortality among patients undergoing surgery for infective endocarditis at a tertiary care center. Methodology This retrospective cohort study included adult patients diagnosed with infective endocarditis and treated surgically at the Peshawar Institute of Cardiology between January 2022 and December 2024. Patients were classified into high-risk (age ≥65 years and/or NYHA class III/IV) and low-risk (age <65 years and NYHA class I/II) groups. The primary outcome was recovery, defined as discharge without major complications, including reoperation or prolonged hospitalization beyond 14 days of surgery. The secondary outcome was 30-day mortality rate. Statistical analysis included chi-squared tests and multivariate logistic regression adjusted for sex, body mass index, diabetes mellitus, and hypertension. Model validity was assessed using the Hosmer-Lemeshow goodness-of-fit test and the area under the curve (AUC). Results Of the 260 patients, 130 (50.0%) were classified as high-risk. Recovery was significantly lower in the high-risk group than in the low-risk group (70.0% vs. 90.0%,
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