Decoding Fear: Analysis and Prognosis of Preoperatory Stress Level Through Advanced Statistical Modelling-A Prospective Study Across Multiple Surgical Specialties

解码恐惧:通过高级统计建模分析和预测术前压力水平——一项跨多个外科专业的预期性研究

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Abstract

Background: Preoperative stress is a multifactorial phenomenon shaped by physiological, psychological, and social influences, with a substantial impact on postoperative recovery. This study aimed to quantify preoperative stress levels, identify associated factors, and rank their predictive importance. Methods: A prospective study was conducted on 197 patients scheduled for general surgery, orthopedics, neurosurgery, or otorhinolaryngology procedures between December 2024 and June 2025 at Suceava County Emergency Clinical Hospital. Stress levels were assessed using the Brief Measure of Emotional Preoperative Stress (B-MEPS), translated and culturally adapted into Romanian. Statistical analyses included nonparametric tests, generalized linear modeling, and Random Forest regression. Results: The mean B-MEPS score was 21.42 ± 6.04 (range: 11-34), indicating a moderate level of preoperative stress. Higher stress scores were significantly associated with female sex (p < 0.001), lower educational attainment (p = 0.003), divorced marital status (p = 0.007), a history of cancer (p = 0.002), and the type of surgical intervention (p = 0.003). Random Forest analysis identified the type of surgery, educational level, and sex as the strongest predictors. Conclusions: Preoperative stress is chiefly influenced by the type of surgical procedure, educational level, and sex, with potential synergistic effects among these factors. Early identification of high-risk patients enables targeted, personalized interventions to mitigate anxiety and improve perioperative outcomes. Further research should include formal validation of the Romanian version of B-MEPS and the integration of additional psychosocial variables.

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