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[Construction of a predictive model for postoperative pain relief after microscopic spermatic cord surgery for spermatic cord pain].

Year: 2024
Type: other
Abstract: OBJECTIVE: To explore the relevant factors affecting the efficacy of microscopic spermatic cord surgery and build a predictive model for postoperative pain relief. METHODS: tests and univariate analysis. Clinical predictor variables [age, duration of pain, diameter of varicocele, patient health questionnaire-9 (PHQ-9) score, generalized anxiety disorder-7 (GAD-7) score] were selected using Lasso regression. A clinical prediction model for effective pain relief following microscopic spermatic cord surgery was constructed using Logistic regression and presented as a nomogram. The model's internal validation was performed using the bootstrap method. Its predictive power and clinical utility were evaluated through the concor-dance index, the area under the receiver operating characteristic curve, and calibration plots. RESULTS: Post-microscopic varicocele ligation, 156 patients (73.58%) experienced significant pain relief, as did 94 patients (83.93%) following microscopic denervation. Independent predictors for postoperative outcomes included age, PHQ-9 score, GAD-7 score, chronic pain duration, and varicocele diameter, differing slightly between varicocele-related and idiopathic pain groups. The models demonstrated excellent predictive ability, with areas under the curve of 0.909 and 0.913 for varicocele and idiopathic groups, respectively, and high concordance indices. CONCLUSION: The postoperative efficacy prediction model based on age, pain duration, PHQ-9 score, GAD-7 score, and varicocele diameter has good predictive ability and clinical applicability, and can be used in clinical practice.
Source: PubMed
DOI: 10.19723/j.issn.1671-167x.2024.04.017
Language: English
Open Access status: green
OpenAlex ID: W4400932497
Cites: 33
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Related to: 10