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Income, Geography, and Etiology as Factors Associated with Valve Replacement Outcomes: A Nationwide Cohort of 63,426 Patients in a Middle-Income Country Cover

Income, Geography, and Etiology as Factors Associated with Valve Replacement Outcomes: A Nationwide Cohort of 63,426 Patients in a Middle-Income Country

Open Access
|Aug 2026

Figures & Tables

Summary graphic of Brazilian heart valve surgery outcomes study
Table 1

Baseline characteristics by valve disease etiology.

RHEUMATICDEGENERATIVECONGENITALTOTALp-value
n2626130620205663426
Records per Patient9.4 ± 34.711.9 ± 41.610.1 ± 38.410.7 ± 39.0
Age (Mean ± SD)54.5 ± 14.859.6 ± 14.551.4 ± 19.856.9 ± 15.2<0.001
Male (%)43.6%56.9%55.1%51.4%<0.001
Ethnicity<0.001
White9989 (38.0%)17093 (55.8%)891 (43.3%)29824 (47.0%)
Mixed Race (Pardo)10469 (39.9%)9043 (29.5%)735 (35.7%)21957 (34.6%)
Black996 (3.8%)1185 (3.9%)76 (3.7%)2453 (3.9%)
Yellow420 (1.6%)344 (1.1%)26 (1.3%)851 (1.3%)
Unknown4387 (16.7%)2955 (9.7%)328 (16.0%)8341 (13.2%)
Diabetes n(%)295 (1.1%)467 (1.5%)24 (1.2%)843 (1.3%)<0.001
Hypertension n(%)1129 (4.3%)1449 (4.7%)67 (3.3%)2808 (4.4%)0.001
Dyslipidemia n(%)204 (0.8%)396 (1.3%)8 (0.4%)644 (1.0%)<0.001
Atrial Fibrillation n(%)174 (0.7%)193 (0.6%)12 (0.6%)424 (0.7%)0.840
Renal Failure n(%)136 (0.5%)224 (0.7%)11 (0.5%)410 (0.6%)0.005
Heart Failure n(%)1065 (4.1%)1485 (4.8%)81 (3.9%)3696 (5.8%)<0.001
COPD n(%)193 (0.7%)328 (1.1%)15 (0.7%)571 (0.9%)0.036
PT/INR Monitorization n(%)695 (2.6%)1069 (3.5%)59 (2.9%)1959 (3.1%)<0.001
Length of Stay (Days)12.7 ± 10.212.6 ± 9.914.7 ± 12.313.0 ± 10.6<0.001
Follow-Up (Days) (Median (IQR))1107.0 (306.0–2250.0)999.0 (273.0–2171.2)938.0 (212.8–2157.2)1023.0 (277.0–2183.0)<0.001
≥1-Year Follow-Up n(%)19098 (72.7%)21691 (70.8%)1419 (69.0%)45141 (71.2%)
≥5-Year Follow-Up n(%)9210 (35.1%)10157 (33.2%)646 (31.4%)21249 (33.5%)
Figure 1

Spatial analysis of heart valve surgery in Brazil. Left: Surgical patient referral network and hospital hubs (top 2,000 flows; bubble size = PageRank influence). Center: Total volume of valve surgeries per hospital location. Right: Surgical in-hospital mortality rate by municipality.

Table 2

Mortality outcomes by etiological groups across multiple time horizons.

ETIOLOGY_GROUPTOTAL DEATHS (n)OVERALL MORTALITY %IN-HOSPITAL % (n)30-DAY
% (n)
1-YEAR
% (n)
5-YEAR
% (n)
TOP ICD-10 CAUSE
Overall2113033.3%8.6% (5451)10.0% (6331)19.6% (12424)30.1% (19108)Mitral Stenosis
Degenerative1033133.7%7.9% (2422)9.4% (2887)19.6% (6015)30.5% (9329)Aortic Stenosis
Rheumatic840832.0%8.5% (2243)9.8% (2577)18.4% (4845)28.9% (7577)Mitral Stenosis
Other168337.5%12.3% (553)13.6% (610)24.9% (1118)34.7% (1559)Endocarditis
Congenital70834.4%11.3% (233)12.5% (257)21.7% (446)31.3% (643)Ebstein’s Anomaly
Figure 2

Kaplan–Meier curves for cumulative long-term mortality according to valve disease etiology, with restricted mean survival time (RMST) shown for each etiological group. Log-rank test: p < 0.001.

Figure 3

Kaplan–Meier survival curves by valve lesion subtype in the rheumatic group. Landmark analysis at 30 days and five years. Reference: Mitral stenosis. Log-rank p < 0.001.

Figure 4

Kaplan–Meier survival curves by valve lesion subtype in the degenerative group.

Figure 5

Kaplan–Meier survival curves by valve lesion subtype in the congenital group. Estimates beyond five years should be interpreted with caution given limited follow-up.

DOI: https://doi.org/10.5334/gh.1581 | Journal eISSN: 2211-8179
Language: English
Page range: 63 - 63
Submitted on: Jun 16, 2026
Accepted on: Aug 13, 2026
Published on: Aug 25, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Leonardo Dexheimer da Silva, João Luís Freitas, Felipe Dircêu Dantas Leite Pessôa, Elinthon Tavares Veronese, Carlos Manuel de Almeida Brandão, Roney O. Sampaio, Guilherme Sobreira Spina, Flávio Tarasoutchi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.