TANG Ailing, XU Fanglei. Construction of warning model for discharge readiness of patients undergoing laparoscopic radical prostatectomy[J]. Journal of Clinical Medicine in Practice, 2023, 27(20): 16-20, 25. DOI: 10.7619/jcmp.20232309
Citation: TANG Ailing, XU Fanglei. Construction of warning model for discharge readiness of patients undergoing laparoscopic radical prostatectomy[J]. Journal of Clinical Medicine in Practice, 2023, 27(20): 16-20, 25. DOI: 10.7619/jcmp.20232309

Construction of warning model for discharge readiness of patients undergoing laparoscopic radical prostatectomy

  • Objective To analyze the status quo and influencing factors of discharge readiness of patients undergoing laparoscopic radical prostatectomy (LRP), and establish an warning model.
    Methods A total of 162 patients undergoing LRP were recruited as participants using convenience sampling. At discharge, general data and disease-related information questionnaires were used to collect related information, and the influencing factors of hospital discharge readiness of patients after LRP were analyzed and an early warning model was established.
    Results A total of 45 participants did not prepare well for hospital discharge, accounting for 27.78%. Binary Logistic regression analysis showed that urinary dysfunction on admission (OR=0.091; 95%CI, 0.029 to 0.290), preoperative PSA (OR=0.847; 95%CI, 0.728 to 0.986), preoperative prostate volume (OR=0.838; 95%CI, 0.782 to 0.898) and Barthel index score (OR=1.128; 95%CI, 1.086 to 1.173) were independent predictors of hospital readiness after LRP (P < 0.05). The warning model predicting discharge readiness for patients undergoing LRP was as follows: Y=-24.0×X1-1.7×X2-1.8×X3+2.4×X4 Y referring to discharge readiness; X1 referring to urination dysfunction (no=0, yes=1), X2 referring to preoperative PSA, X3 referring to preoperative prostate volume, X4 referring to Barthel score. The receiver operating characteristic curve showed that the area under the curve of warning model to predict the discharge readiness of patients after LRP was 0.951 (95%CI, 0.916 to 0.985), the Jorden index was 0.811, and the optimal critical value was 8 points. The Hosmer-Lemeshow goodness of fit test showed that the chi-square value was 4.864 and P value was 0.772.
    Conclusion The early warning model of discharge readiness of patients after LRP operation has a good efficacy, and can provide a reference for the implementation of early and intensive discharge health guidance and the formulation of relevant decisions.
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