Key result
In asymptomatic patients undergoing total joint arthroplasty, family history of cardiovascular disease (OR 3.61), increasing age, male gender, and decreased ejection fraction significantly predicted the detection of pre-operative cardiac abnormalities.
Why the study?
No validated pre-operative cardiac risk stratification tool exists specifically for THA and TKA, leaving surgeons without clear guidance on which asymptomatic patients need pre-operative cardiac optimisation.
What are the pre-operative clinical predictors for requiring additional cardiac investigation and detecting cardiac abnormalities in asymptomatic patients prior to total joint arthroplasty?
Observational (n=374)
No
What are the pre-operative clinical predictors for requiring additional cardiac investigation and detecting cardiac abnormalities in asymptomatic patients prior to total joint arthroplasty?
Increasing age, male gender, family history of cardiovascular disease, and decreased ejection fraction are key predictors for detecting cardiac abnormalities during pre-operative evaluation for total joint arthroplasty.
Answers are grounded in this paper and cite their sources.
Identifies predictors for cardiology referral in asymptomatic THA/TKA patients; leaves open validation of a specific risk tool.
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.
No takes yet. Share an insight, caveat, or question.
Elsiwy et al. (2020) conducted an observational in Asymptomatic patients undergoing primary total hip and total knee arthroplasty (n=374). Family history of cardiovascular disease (and other clinical risk factors) vs. Absence of risk factors was evaluated on Abnormality detected upon additional cardiac investigation (ADACI) (OR 3.61, 95% CI 1.65-7.89, p=0.001). In asymptomatic patients undergoing total joint arthroplasty, family history of cardiovascular disease (OR 3.61), increasing age, male gender, and decreased ejection fraction significantly predicted the detection of pre-operative cardiac abnormalities.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: