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1.
Am J Cardiol ; 203: 1-8, 2023 09 15.
Artigo em Inglês | MEDLINE | ID: mdl-37478636

RESUMO

Given the increasing population eligible for transcatheter aortic valve implantation (TAVI), resource utilization has become an important focus in this setting. We aimed to estimate the change in the financial burden of TAVI therapy over 2 different periods. A probabilistic Markov model was developed to estimate the cost consequences of increased center experience and the introduction of newer-generation TAVI devices compared with an earlier TAVI period in a cohort of 6,000 patients. The transition probabilities and hospitalization costs were retrieved from the OBSERVANT (Observational Study of Effectiveness of AVR-TAVI procedures for severe Aortic steNosis Treatment) and OBSERVANT II (Observational Study of Effectiveness of TAVI with new generation deVices for severe Aortic stenosis Treatment) studies, including 1,898 patients treated with old-generation devices and 1,417 patients treated with new-generation devices. The propensity score matching resulted in 853 pairs, with well-balanced baseline risk factors. The mean EuroSCORE II (6.6% vs 6.8%, p = 0.76) and the mean age (82.0 vs 82.1 y, p = 0.62) of the early TAVI period and new TAVI period were comparable. The new TAVI period was associated with a significant reduction in rehospitalizations (-30.5% reintervention, -25.2% rehospitalization for major events, and -30.8% rehospitalization for minor events) and a 20% reduction in 1-year mortality. These reductions resulted in significant cost savings over a 1-year period (-€4.1 million in terms of direct costs and -€19.7 million considering the additional cost of the devices). The main cost reduction was estimated for rehospitalization, accounting for 79% of the overall cost reduction (not considering the costs of the devices). In conclusion, the introduction of new-generation TAVI devices, along with increased center experience, led to significant cost savings at 1-year compared with an earlier TAVI period, mainly because of the reduction in rehospitalization costs.


Assuntos
Estenose da Valva Aórtica , Implante de Prótese de Valva Cardíaca , Substituição da Valva Aórtica Transcateter , Humanos , Implante de Prótese de Valva Cardíaca/métodos , Estresse Financeiro , Resultado do Tratamento , Fatores de Risco , Valva Aórtica/cirurgia
2.
Interact Cardiovasc Thorac Surg ; 11(5): 537-42, 2010 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-20709699

RESUMO

The aim of this study is to evaluate the effect of gender and age on outcome following coronary surgery in several hospitals enrolled in a national quality assessment program. Patients undergoing isolated coronary artery bypass graft (CABG) during 2003-2005 in Italy were included in the study (n=74,577). The outcome measure was 30-day in-hospital mortality. Comorbidities recorded during previous and current hospitalizations were used to define patients' health status and to build the adjustment model. The interaction term (gender*hospital) was introduced into the model to test the effect modification of gender; if present, gender specific models were analyzed to test the effect modification of age. A significant effect modification by gender was found in 39 hospitals; the adjusted odds ratios (AdjORs) showed significant increased risk for females (AdjORs ranging from 3.7 to 21.6). In three of these hospitals a significant increased risk was found for older age (AdjORs for elderly patients ranging from 8.1 to 14.6). Two hospitals showed a significant excess risk for patients ≥75 years (AdjORs=6.6 and 13.8). The technical aspects of surgery could account for the excess risk found in female patients; differences in the entire care process (intraoperative and postoperative management) could explain the variations in outcome among elderly patients.


Assuntos
Ponte de Artéria Coronária/mortalidade , Hospitais/estatística & dados numéricos , Avaliação de Processos e Resultados em Cuidados de Saúde/estatística & dados numéricos , Fatores Etários , Idoso , Comorbidade , Bases de Dados como Assunto , Feminino , Mortalidade Hospitalar , Humanos , Itália/epidemiologia , Masculino , Razão de Chances , Indicadores de Qualidade em Assistência à Saúde/estatística & dados numéricos , Medição de Risco , Fatores de Risco , Fatores de Tempo , Resultado do Tratamento
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