Back

Development Efficiency and Mortality After Coronary Artery Bypass Grafting: A National Causal Inference Analysis

Martins, G. K.; Botelho, A. D.; Consoli, L.; Teles Costa Grillo, I.; Passos, F. S.; Esper Treml, R.; Caldonazo, T.

2026-02-04 cardiovascular medicine
10.64898/2026.02.02.26345421 medRxiv
Show abstract

BackgroundWe evaluated whether development efficiency, the component of the Human Development Index independent of GDP per capita and income inequality, is associated with in-hospital mortality after coronary artery bypass grafting (CABG) in Brazil, and whether this association is mediated by access to elective surgery. MethodsWe conducted a retrospective ecological panel study using administrative data on CABG hospitalizations within the Brazilian Unified Health System from 2008-2024. State-year observations were linked to socioeconomic indicators. Development efficiency was defined as the residual of HDI after regression on GDP per capita and the Gini coefficient. Associations with in-hospital mortality were examined using volume-weighted multilevel models. Absolute causal effects and mediation through urgency status were estimated using g-computation and parametric causal mediation analysis. ResultsThe final analytic panel included 379 state-year observations. A 1-standard deviation increase in development efficiency was associated with a reduction in predicted in-hospital mortality from 6.8% to 5.7% (absolute risk reduction -1.1 percentage points; p<0.001), corresponding to one death prevented for every 91 procedures. Mediation analysis indicated that 95.5% of the total effect was attributable to the natural direct effect, while only 4.5% was mediated through urgency status, with no significant indirect effect. ConclusionsDevelopment efficiency is an independent and clinically meaningful determinant of survival after CABG in Brazil. Higher income-independent HDI performance is associated with substantial absolute mortality reductions, driven predominantly by direct system-level pathways rather than changes in urgency profile. Strengthening health-system efficiency and perioperative capacity may therefore yield meaningful gains in cardiac surgical outcomes.

Published in Journal of Cardiothoracic Surgery · not in our set (fewer than 10 published preprints to learn from) · training set

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.