Influencing Factors for Infection in Elderly Patients After Total Hip Arthroplasty

Abstract

To explore the influencing factors for infection in elderly patients after total hip arthroplasty (THA) using logistic regression analysis. Methods: A total of 162 patients undergoing THA were selected, and their clinical data were retrospectively analyzed. The surgical treatment outcomes and postoperative conditions were recorded. They were divided into infection group (n=32) and non-infection group (n=130). The influencing factors for postoperative infection were analyzed by univariate and multivariate logistic regression analyses. A nomogram prediction model was established and validated. Results: Among the 162 elderly patients, postoperative infection occurred in 32 cases, with an infection rate of 19.75%. A total of 82 strains of pathogenic bacteria were isolated, including 48 strains of Gram-positive bacteria (58.5%) and 34 strains of Gram-negative bacteria (41.5%). There were significant differences in age, long-term use of hormones, history of hip surgery, serum albumin, procalcitonin (PCT), erythrocyte sedimentation rate (ESR), neutrophil count and lymphocyte count between infection and non-infection groups (P<0.05). Age >70 years old, long-term use of hormones, history of hip surgery, serum albumin <35 g/L, PCT >44.74 ng/mL, ESR >5.83 mm/h, neutrophil count >2.57×10⁹/L and lymphocyte count >2.94×10⁹/L were influencing factors. The nomogram prediction model had high predictive value. Conclusion: THA has obvious clinical treatment outcomes. Age >70 years old, long-term use of hormones, history of hip surgery, serum albumin <35 g/L, PCT >44.74 ng/mL, ESR >5.83 mm/h, neutrophil count >2.57×10⁹/L and lymphocyte count >2.94×10⁹/L were independent influencing factors for infection after THA in elderly patients.