ArticleJournal of the American College of Cardiology2025
Days Alive Out of Health Care: A Novel Measure of Health Status After Congenital Heart Surgery.
Article in Journal of the American College of Cardiology, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundAs pediatric and adult operative mortality improves, longitudinal outcomes beyond survival become increasingly important. "Days alive and out of hospital" is well-studied as a longitudinal, patient-centered outcome in adult populations. However, it has yet to be validated for children, whose health care use and survival differ from that of adults.
objectivesThis study sought to evaluate days alive and out of health care/hospital as outcomes for neonatal and infant cardiac surgery.
methodsUsing linked, locally held, clinical registry data, the National Death Index, and Medicaid claims from the CHS-COLOUR (New York Congenital Heart Surgery Collaborative for Longitudinal Outcomes and Utilization of Resources), we describe and compare the distribution of days alive and out of health care/hospital (730 days or date of death minus date of birth, minus the sum of days in health care) over 2 years for New York State Medicaid-enrolled children who underwent initial neonatal or infant cardiac surgery during 2006 to 2018. We assess relative contributions of mortality, inpatient, and outpatient days, test impacts of alternate outpatient day weightings, and assess associations with patient characteristics known to be associated with other, established congenital heart surgical outcomes.
resultsIn total, 2,519 Medicaid-enrolled neonates/infants underwent initial cardiac surgery in the first year of life across New York state during 2006 to 2018. Days alive and out of health care (DAoH) (0-730 days) was bimodally distributed, with 10.4% (n = 261) spending <100 days and 21.6% (n = 545) spending >700 DAoH. We found that 5.9% (n = 149) of children died during their birth admission (0 DAoH). Cardiac disease complexity, weight at surgery, noncardiac preoperative comorbidities, and other preoperative risk factors were all significantly associated with the outcomes (P <0.001). When considering only inpatient days, the distribution was more left-skewed, because 40% of health care days in the second year of life was attributable to outpatient days. Our findings were otherwise largely insensitive to health care type weightings.
conclusionsIn this data set of children with Medicaid coverage, total DAoH is an easily reproducible, patient-centered outcome that should be considered for assessment of longitudinal outcomes for neonates and infants undergoing cardiac surgery. Where outpatient data are not available, days alive and out of hospital might serve as a reasonable alternative.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.