Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Bases de dados
País/Região como assunto
Ano de publicação
Tipo de documento
País de afiliação
Intervalo de ano de publicação
1.
Spine (Phila Pa 1976) ; 37(15): 1340-5, 2012 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-22210012

RESUMO

STUDY DESIGN: Retrospective analysis. OBJECTIVE: The objective of this study was to investigate the accuracy of using an automated approach to administrative claims data to assess the rate and risk factors for surgical site infection (SSI) in spinal procedures. SUMMARY OF BACKGROUND DATA: SSI is a major indicator of health care quality. A wide range of SSI rates have been proposed in the literature depending on clinical setting and procedure type. METHODS: All spinal surgeries performed at a university-affiliated tertiary-care center from July 2005 to December 2010 were identified using diagnosis-related group, current procedural terminology, and International Classification of Diseases, Ninth Revision (ICD-9) codes and were validated through chart review. Rates of SSI and associated risk factors were calculated using univariate regression analysis. Odds ratios were calculated through multivariate logistic regression. RESULTS: A total of 6628 hospital visits were identified. The cumulative incidence of SSI was 2.9%. Procedural risk factors associated with a statistically significant increase in rates of infection were the following: sacral involvement (9.6%), fusions greater than 7 levels (7.8%), fusions greater than 12 levels (10.4%), cases with an osteotomy (6.5%), operative time longer than 5 hours (5.1%), transfusions of red blood cells (5.0%), serum (7.4%), and autologous blood (4.1%). Patient-based risk factors included anemia (4.3%), diabetes mellitus (4.2%), coronary artery disease (4.7%), diagnosis of coagulopathy (7.8%), and bone or connective tissue neoplasm (5.0%). CONCLUSION: Used individually, diagnosis-related group, current procedural terminology, and ICD-9 codes cannot completely capture a patient population. Using an algorithm combining all 3 coding systems to generate both inclusion and exclusion criteria, we were able to analyze a specific population of spinal surgery patients within a high-volume medical center. Within that group, risk factors found to increase infection rates were isolated and can serve to focus hospital-wide efforts to decrease surgery-related morbidity and improve patient outcomes.


Assuntos
Procedimentos Ortopédicos/efeitos adversos , Complicações Pós-Operatórias/etiologia , Coluna Vertebral/cirurgia , Infecção da Ferida Cirúrgica/etiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Algoritmos , California/epidemiologia , Current Procedural Terminology , Bases de Dados Factuais/estatística & dados numéricos , Grupos Diagnósticos Relacionados/estatística & dados numéricos , Feminino , Humanos , Incidência , Classificação Internacional de Doenças , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Procedimentos Ortopédicos/métodos , Complicações Pós-Operatórias/epidemiologia , Estudos Retrospectivos , Medição de Risco/estatística & dados numéricos , Fatores de Risco , Infecção da Ferida Cirúrgica/epidemiologia , Adulto Jovem
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA