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Pre-operative clinical predictors for cardiology referral prior to total joint arthroplasty: the 'asymptomatic' patient.
Elsiwy, Yassin; Symonds, Tristan; Doma, Kenji; Hazratwala, Kaushik; Wilkinson, Matthew; Letson, Hayley.
Afiliação
  • Elsiwy Y; College of Medicine and Dentistry, James Cook University, 1 James Cook Drive, Townsville, QLD, 4811, Australia.
  • Symonds T; Orthopaedic Research Institute of Queensland, 7 Turner Street, Townsville, QLD, 4812, Australia.
  • Doma K; Orthopaedic Research Institute of Queensland, 7 Turner Street, Townsville, QLD, 4812, Australia.
  • Hazratwala K; Orthopaedic Research Institute of Queensland, 7 Turner Street, Townsville, QLD, 4812, Australia.
  • Wilkinson M; College of Healthcare Sciences, James Cook University, 1 James Cook Drive, Townsville, QLD, 4811, Australia.
  • Letson H; College of Medicine and Dentistry, James Cook University, 1 James Cook Drive, Townsville, QLD, 4811, Australia.
J Orthop Surg Res ; 15(1): 513, 2020 Nov 10.
Article em En | MEDLINE | ID: mdl-33168074
ABSTRACT

BACKGROUND:

No validated pre-operative cardiac risk stratification tool exists that is specific for total hip and total knee arthroplasty (THA and TKA, respectively). To reduce the risk of post-operative cardiac complication, surgeons need clear guidance on which patients are likely to benefit from pre-operative cardiac optimisation. This is particularly important for asymptomatic patients, where the need is harder to determine.

METHODS:

Primary THA and TKA performed between January 1, 2010, and December 31, 2017, were identified from a single orthopaedic practice. Over 25 risk factors were evaluated as predictors for patients requiring additional cardiac investigation beyond an ECG and echocardiogram, and for cardiac abnormality detected upon additional investigation. A multivariate logistic regression was conducted using significant predictor variables identified from inferential statistics. A series of predictive scores were constructed and weighted to identify the influence of each variable on the ability to predict the detection of cardiac abnormality pre-operatively.

RESULTS:

Three hundred seventy-four patients were eligible for inclusion. Increasing age (p < 0.001), history of cerebrovascular accident (p = 0.018), family history of cardiovascular disease (FHx of CVD) (p < 0.001) and decreased ejection fraction (EF) (p < 0.001) were significant predictors of additional cardiac investigation being required. Increasing age (p = 0.003), male gender (p = 0.042), FHx of CVD (p = 0.001) and a reduced EF (p < 0.001) were significantly predictive for the detection of cardiac abnormality upon additional cardiac investigation.

CONCLUSIONS:

Increasing age, male gender, FHx of CVD and decreased ejection fraction are important risk factors to consider for pre-operative cardiac optimisation in THA and TKA patients. These findings can be applied towards future predictive models, to determine which asymptomatic patients are likely to benefit from pre-operative cardiac referral.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Encaminhamento e Consulta / Cardiologia / Artroplastia de Quadril / Artroplastia do Joelho / Doenças Assintomáticas / Cardiopatias Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Encaminhamento e Consulta / Cardiologia / Artroplastia de Quadril / Artroplastia do Joelho / Doenças Assintomáticas / Cardiopatias Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article