A nomogram prediction model for postoperative seroma/hematoma in elderly subjects after TAPP.

Background: Formation of seroma/hematoma is one of the most common postoperative complications following laparoscopic inguinal hernia repair. This study aimed to identify risk factors associated with seroma/hematoma and construct a prediction model.

Methods: Elderly subjects undergoing laparoscopic Transabdominal preperitoneal Patch Plasty (TAPP) were included in this study. The observation endpoint was set as the occurrence of seroma/hematoma within 3 months after TAPP surgery. Independent risk factors were identified through preliminary univariate screening and binary logistic regression analysis. These risk factors were then used to construct a nomogram predictive model using R software.

Results: A total of 330 patients were included in the analysis, of which 51 developed seroma/hematoma, resulting in an incidence rate of 15.5%. Obesity (OR: 3.54, 95%CI: 1.45-8.66, P = 0.006), antithrombotic drug use (OR: 2.73, 95%CI: 1.06-7.03, P = 0.037), C-reactive protein (CRP) ≥ 8 (OR: 2.72, 95%CI: 1.04-7.10, P = 0.041, albumin/fibrinogen ratio (AFR) < 7.85 (OR: 2.99, 95%CI: 1.28-7.00, P = 0.012), and lymphocyte/monocyte ratio (LMR) < 4.05 (OR: 12.62, 95%CI: 5.69-28.01, P < 0.001) were five independent risk factors for seroma/hematoma. The nomogram model has well predictive value for seroma/hematoma, with an AUC of 0.879.

Conclusions: The nomogram model based on obesity, antithrombotic drug, CRP, AFR, and LMR has a proved good predictive value and it has potential in clinical practice.