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Predicting the necessity of routine postoperative laboratory tests after primary total hip arthroplasty
Pablo Ariel Slullitel1, Ignacio Astore1, Fernando Holc1
1'Sir John Charnley' Hip Surgery Unit, Institute of Orthopaedics 'Carlos E. Ottolenghi', Italian Hospital of Buenos Aires, Buenos Aires, Argentina.
Aims:
We aimed to develop a predictive model for abnormal postoperative laboratory tests in patients undergoing primary total hip arthroplasty (THA) to aid clinical decision-making.
Methods:
We analyzed 4,000 patients undergoing primary THA from 1 January 2016 to 31 December 2020, excluding 1,773 due to incomplete records and 63 for being one-stage bilateral THAs. The final cohort comprised 2,164 patients (60.55% female; mean age 70 years (SD 13)). Abnormal laboratory results were defined as values requiring medical intervention. Univariate analyses were performed, followed by model generation with a generation cohort (n = 1,499) and a validation cohort (n = 665). The model's discriminatory performance was measured using the time-dependent area under the receiver operating characteristic (AUROC) curve. The calibration-in-the-large (CITL) was calculated as the logistic regression model intercept. A score was created calculating each point's sensitivity and specificity to determine the best cut-off value.
Results:
Variables such as American Society of Anesthesiologists (ASA) grade III to IV, diabetes, and preoperatively altered potassium, sodium, blood glucose, and serum creatinine were statistically significant predictors (all p < 0.05) of postoperative abnormal laboratory tests. The model had AUROCs of 0.74 and 0.71 in the generation and validation cohorts, respectively. The Cox calibration had a slope of 1 (95% CI 0.86 to 1.13) and a CITL of 0 (95% CI -0.14 to 0.14) in the generation cohort, and a slope of 1 (95% CI 0.77 to 1.22) and a CITL of 0 (95% CI -0.024 to 0.24) in the validation cohort. A scoring system was developed (AUROC, 0.71; slope, 1; CITL, 0) to assess risk based on these variables. A score of 1.5 yielded 58.22% sensitivity and 76.71% specificity for predicting laboratory abnormalities.
Conclusion:
The proposed model accurately predicted abnormal postoperative laboratory findings in THA patients, highlighting the significance of specific preoperative factors together. It seems appropriate to recommend a postoperative laboratory test whenever a patient's score is ≥ 1.5 points.
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