Discussion on Pharmaceutical Care Model of Clinical Pharmacists Based on Nomogram Model of Infection Risk After Resection of Intracranial Tumor Patients

OBJECTIVE To explore the risk factors of postoperative infection in neurosurgical patients with intracranial tumors and construct the nomogram model, and to screen key populations based on this model to implement pharmaceutical care. METHODS The medical records of patients who underwent intracranial tumor resection in the Department of Neurosurgery of Yancheng First People's Hospital from January 2020 to December 2021 were retrospectively analyzed, the risk factors of postoperative infection were obtained by univariate analysis and multivariate Logistic regression analysis, and a relevant nomogram prediction model was established. RESULTS A total of 288 valid medical records were collected, including 91 cases(31.60%) of postoperative infection. Multivariate Logistic analysis suggested that the total length of hospital stay(≥ 20 d), indwelling catheter(≥ 21 d), and mechanical ventilation were independent risk factors for postoperative infection(P<0.05). The risk nomogram model constructed based on the above independent risk factors had an area under the ROC curve of 0.986 (95% CI:0.972-1.000). CONCLUSION The nomogram model for predicting the risk of postoperative infection after intracranial tumor resection has good predictive power and can screen out patients with postoperative infection. It is feasible to implement pharmaceutical care for key populations based on this model.