Patients who undergo coarctation repair during infancy have excellent early survival but long-term survival is unknown. We aimed to describe the long-term survival of patients with coarctation repaired during infancy and determine predictors of mortality. We performed a retrospective cohort study using data from the Pediatric Cardiac Care Consortium for patients with coarctation who underwent surgical repair before 12 months of age between 1982 and 2003. Long-term transplant-free survival was obtained by linkage with the National Death Index and the Organ Sharing Procurement Network. Kaplan Meier survival plots were constructed, and univariate and multivariable analyses were performed to determine predictors of mortality. We identified 2,424 coarctation patients who met inclusion criteria. At 20 years postoperatively, 94.5% of all patients and 95.8% of those discharged after initial operation remained alive, respectively. Significant multivariable predictors of mortality included surgical weight <2.5 kg (hazard ratio [HR] 3.70, 95% confidence interval [CI] 2.19 to 6.24), presence of a genetic syndrome (HR 2.40, 95% CI 1.13 to 5.10), and repair before 1990 (HR 1.91, 95% CI 1.09 to 3.34). None of the other factors examined including age at repair, gender, coarctation type, or surgical approach were found to be statistically significant. Over half of the deaths were due to the underlying congenital heart disease or other cardiovascular etiology. Overall long-term survival of patients who undergo coarctation repair during infancy is excellent. However, patients do experience small continued survival attrition throughout early adulthood. Ongoing monitoring of this cohort is necessary to assess late mortality risk.
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http://dx.doi.org/10.1016/j.amjcard.2019.05.047 | DOI Listing |
JACC Adv
January 2025
Hypertrophic Cardiomyopathy Center, Division of Cardiovascular Medicine, University of Texas Medical Branch, Galveston, Texas, USA.
Background: The effect of pregnancy on individuals with hypertrophic cardiomyopathy (HCM) is not well investigated.
Objectives: The purpose of this study was to assess the impact of pregnancy on all-cause mortality and clinical outcomes among individuals with HCM.
Methods: Using the TriNetX research network, we identified individuals within reproductive age (≥18-45 years) with a diagnosis of HCM between 2012 and 2022 (n = 10,936).
Resusc Plus
January 2025
Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-221 84, Lund, Sweden.
Aim: To explore the impact of age on the discriminative ability of the National Early Warning Score (NEWS) 2 in prediction of unanticipated Intensive Care Unit (ICU) admission, in-hospital cardiac arrest (IHCA) and mortality within 24 hours of Rapid Response Team (RRT) review. Furthermore, to investigate 30- and 90-day mortality, and the discriminative ability of NEWS 2 in prediction of long-term mortality among RRT-reviewed patients.
Methods: Prospective, multi-centre study based on 830 complete cases.
Cureus
December 2024
Department of Medical Oncology, Ankara Bilkent City Hospital, Ankara, TUR.
Introduction: In recent years, machine learning (ML) methods have gained significant popularity among medical researchers interested in cancer. We aimed to test different (ML) models to predict both overall survival and survival at specific time points in patients with non-metastatic colorectal cancer (CRC).
Methods: The clinicopathological and treatment data of non-metastatic CRC patients with more than 10 years of follow-up at a single center were retrospectively reviewed.
J Appl Stat
May 2024
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil.
Survival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constant over time. However, in several randomized clinical trials with long-term survival data comparing two new treatments, it is frequently observed that Kaplan-Meier plots exhibit crossing survival curves.
View Article and Find Full Text PDFKidney Int Rep
January 2025
Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Introduction: Little is known regarding the comparison of cardiovascular and kidney outcomes between lupus nephritis (LN) and other etiologies of chronic kidney disease (CKD).
Methods: Using data from the Swedish Renal Registry (2006-2021), we compared long-term outcomes between patients with LN-CKD and patients with CKD due to primary glomerular diseases (PGD) and other CKD causes (Other-CKD, mainly diabetes and nephroangiosclerosis). Adjusted hazard ratios (HRs) of mortality, major adverse cardiovascular events (MACE) and kidney replacement therapy (KRT) were estimated using Cox proportional hazard models.
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