Rocha EA, Pereira FTM, Abreu JS, Lima JWO, Monteiro MDPM, Rocha Neto AC, Goés CVA, Farias AGP, Rodrigues Sobrinho CRM, Quidute ARP, Scanavacca MI. Development and Validation of Predictive Models of Cardiac Mortality and Transplantation in Resynchronization Therapy.
Arq Bras Cardiol 2015;
105:399-409. [PMID:
26559987 PMCID:
PMC4633004 DOI:
10.5935/abc.20150093]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Accepted: 05/06/2015] [Indexed: 01/04/2023] Open
Abstract
Background
30-40% of cardiac resynchronization therapy cases do not achieve favorable
outcomes.
Objective
This study aimed to develop predictive models for the combined endpoint of cardiac
death and transplantation (Tx) at different stages of cardiac resynchronization
therapy (CRT).
Methods
Prospective observational study of 116 patients aged 64.8 ± 11.1 years,
68.1% of whom had functional class (FC) III and 31.9% had ambulatory class IV.
Clinical, electrocardiographic and echocardiographic variables were assessed by
using Cox regression and Kaplan-Meier curves.
Results
The cardiac mortality/Tx rate was 16.3% during the follow-up period of 34.0
± 17.9 months. Prior to implantation, right ventricular dysfunction (RVD),
ejection fraction < 25% and use of high doses of diuretics (HDD) increased the
risk of cardiac death and Tx by 3.9-, 4.8-, and 5.9-fold, respectively. In the
first year after CRT, RVD, HDD and hospitalization due to congestive heart failure
increased the risk of death at hazard ratios of 3.5, 5.3, and 12.5, respectively.
In the second year after CRT, RVD and FC III/IV were significant risk factors of
mortality in the multivariate Cox model. The accuracy rates of the models were
84.6% at preimplantation, 93% in the first year after CRT, and 90.5% in the second
year after CRT. The models were validated by bootstrapping.
Conclusion
We developed predictive models of cardiac death and Tx at different stages of CRT
based on the analysis of simple and easily obtainable clinical and
echocardiographic variables. The models showed good accuracy and adjustment, were
validated internally, and are useful in the selection, monitoring and counseling
of patients indicated for CRT.
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