National outcomes following benign cardiac tumor resection: A critical sex-based disparity.
benign cardiac tumor
cardiac tumor excision
gender disparities
Journal
Journal of cardiac surgery
ISSN: 1540-8191
Titre abrégé: J Card Surg
Pays: United States
ID NLM: 8908809
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
revised:
28
04
2022
received:
15
03
2022
accepted:
04
05
2022
pubmed:
7
6
2022
medline:
4
8
2022
entrez:
6
6
2022
Statut:
ppublish
Résumé
Treatment of benign primary cardiac tumors involves surgical resection, but reported outcomes from multi-institutional or national databases are scarce. This study examines contemporary national outcomes following surgical resection of benign primary atrial and ventricular tumors. The 2016-2018 Nationwide Readmissions Database was queried for all patients ≥18 years with a primary diagnosis of benign neoplasm of the heart who underwent resection of the atria, ventricles, or atrial/ventricular septum. Primary outcomes were 30-day mortality, readmission, and composite morbidity (defined as stroke, permanent pacemaker implantation, bleeding complication, or acute kidney injury). Multivariable analysis was used to identify independent predictors of worse outcomes. A weighted total of 2557 patients met inclusion criteria. Mean age was 61 years, 67.9% were female, and patients had relatively low comorbidity burdens (mean Charlson Comorbidity Index 1.39). The majority of patients underwent excision of the left atrium (71.5%), followed by the intra-atrial septum (26.6%), right atrium (2.9%). There was no difference in 30-day mortality (2.1% vs. 1.3%, p = .550), 30-day readmission (7.0% vs. 9.1%, p = .222), or 30-day composite morbidity (56.8% vs. 53.8%, p = .369) between females and males, respectively. However, on multivariable analysis, female sex was independently associated with increased risk of 30-day mortality (adjusted odds ratio = 2.65, p = .028). Tumor location (atria, ventricles, septum) was not predictive of mortality. Benign atrial and ventricular tumors are uncommon, but disproportionately impact female patients, with female sex being an independent predictor of 30-day mortality. Root-cause analysis is necessary to determine the ultimate cause of this disparity.
Sections du résumé
BACKGROUND
BACKGROUND
Treatment of benign primary cardiac tumors involves surgical resection, but reported outcomes from multi-institutional or national databases are scarce. This study examines contemporary national outcomes following surgical resection of benign primary atrial and ventricular tumors.
METHODS
METHODS
The 2016-2018 Nationwide Readmissions Database was queried for all patients ≥18 years with a primary diagnosis of benign neoplasm of the heart who underwent resection of the atria, ventricles, or atrial/ventricular septum. Primary outcomes were 30-day mortality, readmission, and composite morbidity (defined as stroke, permanent pacemaker implantation, bleeding complication, or acute kidney injury). Multivariable analysis was used to identify independent predictors of worse outcomes.
RESULTS
RESULTS
A weighted total of 2557 patients met inclusion criteria. Mean age was 61 years, 67.9% were female, and patients had relatively low comorbidity burdens (mean Charlson Comorbidity Index 1.39). The majority of patients underwent excision of the left atrium (71.5%), followed by the intra-atrial septum (26.6%), right atrium (2.9%). There was no difference in 30-day mortality (2.1% vs. 1.3%, p = .550), 30-day readmission (7.0% vs. 9.1%, p = .222), or 30-day composite morbidity (56.8% vs. 53.8%, p = .369) between females and males, respectively. However, on multivariable analysis, female sex was independently associated with increased risk of 30-day mortality (adjusted odds ratio = 2.65, p = .028). Tumor location (atria, ventricles, septum) was not predictive of mortality.
CONCLUSION
CONCLUSIONS
Benign atrial and ventricular tumors are uncommon, but disproportionately impact female patients, with female sex being an independent predictor of 30-day mortality. Root-cause analysis is necessary to determine the ultimate cause of this disparity.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2653-2660Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2022 Wiley Periodicals LLC.
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