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

IF 4.4 Q1 Medicine
Cristina Gena Dascălu, Andrei Ionut Cucu, Andreea Vovciuc, Sorin Axinte, Serban Turliuc, Amelian Madalin Bobu, Camelia Tamas, Vlad Porumb, Emilia Patrascanu, Catalin Mihai Buzduga, Paula Alexandra Blanaru, Anca Petruta Morosan, Iulian Prutianu, Roxana Covali, Andreea Ioana Pruteanu, Claudia Florida Costea, Alexandru Carauleanu
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引用次数: 0

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.

解码恐惧:基于先进统计模型的术前应激水平分析与预后——一项跨外科专业的前瞻性研究。
背景:术前应激是受生理、心理和社会因素影响的多因素现象,对术后恢复有重要影响。本研究旨在量化术前应激水平,确定相关因素,并对其预测重要性进行排序。方法:对2024年12月至2025年6月在Suceava县急诊临床医院接受普外科、骨科、神经外科或耳鼻喉科手术的197例患者进行前瞻性研究。使用情绪术前压力简要测量(B-MEPS)评估压力水平,翻译并适应罗马尼亚文化。统计分析包括非参数检验、广义线性模型和随机森林回归。结果:B-MEPS平均评分为21.42±6.04(范围:11-34),提示术前应激水平中等。高压力得分与女性(p < 0.001)、低教育程度(p = 0.003)、离婚婚姻状况(p = 0.007)、癌症史(p = 0.002)和手术类型(p = 0.003)显著相关。随机森林分析确定手术类型、教育水平和性别是最强的预测因子。结论:术前应激主要受手术方式、文化程度和性别的影响,这些因素之间可能存在协同效应。早期识别高危患者可以进行有针对性的个性化干预,以减轻焦虑并改善围手术期预后。进一步的研究应包括正式验证罗马尼亚版的B-MEPS和整合额外的社会心理变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.00
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0.00%
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