对手术后恶心和吐的预测模型进行比较,这些患者接受了乳腺癌手术
Gülseren Maraş1, Halil Kalaycı2, Özlem Ceyhan3
1Erciyes University, Faculty of Health Sciences, Surgery Nursing, Kayseri, Türkiye. gulserenmaras@erciyes.edu.tr.
概括
手术后恶心和吐 (PONV) 影响了许多乳腺癌手术患者. 无论是Apfel还是Koivuranta的风险评分都能有效预测PONV发病率,有助于制定患者护理策略.
科学领域:
- 手术瘤学手术瘤学
- 麻醉学 麻醉学
- 患者的恢复 患者的恢复
背景情况:
- 手术后恶心和吐 (PONV) 是全球的一个重大问题,影响手术后患者的康复和满意度.
- 解决PONV对于改善整体患者体验至关重要,特别是在乳腺癌手术后.
研究的目的:
- 为了调查乳腺癌手术后恶心和吐的发生率.
- 为了比较Apfel和Koivuranta在这个患者群体中对PONV的风险评分的预测准确性.
主要方法:
- 一项描述性研究涉及100名在大学医院接受乳腺癌手术的患者.
- 数据采集使用研究人员开发的表格,Apfel恶心和吐风险评分和Koivuranta恶心和吐风险评分.
主要成果:
- 61%的患者在手术后24小时内出现恶心和吐.
- 在PONV和年龄之间发现了显著的相关性,手术后使用阿片类药物,以及运动性疾病或PONV的病史.
- 阿菲尔得分:灵敏度为80%,特异性为46%,AUC为0.686. 科维兰塔得分:灵敏度为80%,特异性为35%,AUC为0.675.
结论:
- 在乳腺癌手术后观察到高发作恶心和吐.
- 阿菲尔和科伊瓦兰塔的风险评分在预测PONV时表现出同等的适用性.
- 这些验证的得分可以帮助管理和预防乳腺癌患者的PONV.
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