预测剖宫产后疼痛:一项使用3题问卷、局部麻醉浸润和观察者评分的前瞻性队列研究。

IF 2.5 3区 医学 Q2 CLINICAL NEUROLOGY
Pain Research & Management Pub Date : 2025-04-21 eCollection Date: 2025-01-01 DOI:10.1155/prm/6903333
Unyime S Ituk, Sapna Ravindranath
{"title":"预测剖宫产后疼痛:一项使用3题问卷、局部麻醉浸润和观察者评分的前瞻性队列研究。","authors":"Unyime S Ituk, Sapna Ravindranath","doi":"10.1155/prm/6903333","DOIUrl":null,"url":null,"abstract":"<p><p><b>Purpose:</b> Acute postoperative pain is a typical complaint following cesarean delivery (CD). The current standard for postcesarean pain management is the use of a multimodal analgesia regimen which is beneficial for many but may be inadequate for some patients. This study aimed to determine if combining patients' response to a pain rating questionnaire, their pain score during local anesthetic infiltration (LAI) preceding spinal anesthesia for CD, and an anesthesiologist's prediction of postcesarean pain severity can predict the intensity of postcesarean pain. <b>Methods:</b> This was a prospective study of ninety women undergoing scheduled CD under spinal anesthesia. Patients completed a pain rating questionnaire preoperatively and rated pain on LAI before spinal injection, and an anesthesiologist predicted the severity of postcesarean pain. Postoperative pain scores were assessed at rest and with movement at 6, 24, and 48 h after surgery. <b>Results:</b> The patient's expected postoperative pain (<i>β</i> = 0.39, <i>p</i>=0.0011), perceived analgesic requirements (<i>β</i> = 0.34, <i>p</i>=0.0002), pain on LAI (<i>β</i> = 0.22, <i>p</i>=0.004), and anesthesiologist's predicted postoperative pain severity (<i>β</i> = 0.22, <i>p</i>=0.01) were associated with mean postoperative pain after CD. The multivariate model analysis found that the pain rating questionnaire and the an anesthesiologist's prediction of postcesarean pain severity contributed to postoperative pain modeling (<i>R</i> <sup>2</sup> = 0.27). <b>Conclusion:</b> Combining a preoperative pain rating questionnaire with an anesthesiologist's prediction of postcesarean pain severity accounted for 27% of the variance in mean postoperative pain with movement and may be a useful tool in predicting postcesarean pain. <b>Implications:</b> This study highlights the potential of a combined preoperative pain rating questionnaire and anesthesiologist's predictions to improve postcesarean pain management. By accounting for 27% of the variance in mean postcesarean pain with movement, this approach could enhance pain management outcomes for CD patients.</p>","PeriodicalId":19913,"journal":{"name":"Pain Research & Management","volume":"2025 ","pages":"6903333"},"PeriodicalIF":2.5000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12037255/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating.\",\"authors\":\"Unyime S Ituk, Sapna Ravindranath\",\"doi\":\"10.1155/prm/6903333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Purpose:</b> Acute postoperative pain is a typical complaint following cesarean delivery (CD). The current standard for postcesarean pain management is the use of a multimodal analgesia regimen which is beneficial for many but may be inadequate for some patients. This study aimed to determine if combining patients' response to a pain rating questionnaire, their pain score during local anesthetic infiltration (LAI) preceding spinal anesthesia for CD, and an anesthesiologist's prediction of postcesarean pain severity can predict the intensity of postcesarean pain. <b>Methods:</b> This was a prospective study of ninety women undergoing scheduled CD under spinal anesthesia. Patients completed a pain rating questionnaire preoperatively and rated pain on LAI before spinal injection, and an anesthesiologist predicted the severity of postcesarean pain. Postoperative pain scores were assessed at rest and with movement at 6, 24, and 48 h after surgery. <b>Results:</b> The patient's expected postoperative pain (<i>β</i> = 0.39, <i>p</i>=0.0011), perceived analgesic requirements (<i>β</i> = 0.34, <i>p</i>=0.0002), pain on LAI (<i>β</i> = 0.22, <i>p</i>=0.004), and anesthesiologist's predicted postoperative pain severity (<i>β</i> = 0.22, <i>p</i>=0.01) were associated with mean postoperative pain after CD. The multivariate model analysis found that the pain rating questionnaire and the an anesthesiologist's prediction of postcesarean pain severity contributed to postoperative pain modeling (<i>R</i> <sup>2</sup> = 0.27). <b>Conclusion:</b> Combining a preoperative pain rating questionnaire with an anesthesiologist's prediction of postcesarean pain severity accounted for 27% of the variance in mean postoperative pain with movement and may be a useful tool in predicting postcesarean pain. <b>Implications:</b> This study highlights the potential of a combined preoperative pain rating questionnaire and anesthesiologist's predictions to improve postcesarean pain management. By accounting for 27% of the variance in mean postcesarean pain with movement, this approach could enhance pain management outcomes for CD patients.</p>\",\"PeriodicalId\":19913,\"journal\":{\"name\":\"Pain Research & Management\",\"volume\":\"2025 \",\"pages\":\"6903333\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12037255/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pain Research & Management\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1155/prm/6903333\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pain Research & Management","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1155/prm/6903333","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:急性术后疼痛是剖宫产(CD)后的典型主诉。目前剖宫产后疼痛管理的标准是使用多模式镇痛方案,这对许多人有益,但对某些患者可能不够。本研究旨在确定结合患者对疼痛评分问卷的反应,他们在CD脊髓麻醉前局部麻醉浸润(LAI)期间的疼痛评分,以及麻醉师对剖宫产后疼痛严重程度的预测是否可以预测剖宫产后疼痛的强度。方法:这是一项前瞻性研究,90名妇女在脊髓麻醉下接受预定的CD。患者术前完成疼痛评定问卷,脊柱注射前用LAI评定疼痛,麻醉医师预测剖宫产后疼痛的严重程度。术后疼痛评分分别于术后6、24和48小时静息和活动时进行评估。结果:患者术后预期疼痛(β = 0.39, p=0.0011)、感知镇痛需求(β = 0.34, p=0.0002)、LAI疼痛(β = 0.22, p=0.004)和麻醉师预测的术后疼痛严重程度(β = 0.22, p=0.01)与CD术后平均疼痛相关。多因素模型分析发现,疼痛评分问卷和麻醉师预测的剖宫产后疼痛严重程度有助于术后疼痛建模(r2 = 0.27)。结论:将术前疼痛评分问卷与麻醉师对剖宫产后疼痛严重程度的预测相结合,可占术后平均运动疼痛方差的27%,可能是预测剖宫产后疼痛的有用工具。意义:本研究强调了术前疼痛评分问卷和麻醉师的预测对改善剖宫产后疼痛管理的潜力。剖宫产后平均疼痛随运动的差异占27%,这种方法可以提高CD患者的疼痛管理结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting Postcesarean Pain: A Prospective Cohort Study Using a 3-Question Questionnaire, Local Anesthesia Infiltration, and Observer Rating.

Purpose: Acute postoperative pain is a typical complaint following cesarean delivery (CD). The current standard for postcesarean pain management is the use of a multimodal analgesia regimen which is beneficial for many but may be inadequate for some patients. This study aimed to determine if combining patients' response to a pain rating questionnaire, their pain score during local anesthetic infiltration (LAI) preceding spinal anesthesia for CD, and an anesthesiologist's prediction of postcesarean pain severity can predict the intensity of postcesarean pain. Methods: This was a prospective study of ninety women undergoing scheduled CD under spinal anesthesia. Patients completed a pain rating questionnaire preoperatively and rated pain on LAI before spinal injection, and an anesthesiologist predicted the severity of postcesarean pain. Postoperative pain scores were assessed at rest and with movement at 6, 24, and 48 h after surgery. Results: The patient's expected postoperative pain (β = 0.39, p=0.0011), perceived analgesic requirements (β = 0.34, p=0.0002), pain on LAI (β = 0.22, p=0.004), and anesthesiologist's predicted postoperative pain severity (β = 0.22, p=0.01) were associated with mean postoperative pain after CD. The multivariate model analysis found that the pain rating questionnaire and the an anesthesiologist's prediction of postcesarean pain severity contributed to postoperative pain modeling (R 2 = 0.27). Conclusion: Combining a preoperative pain rating questionnaire with an anesthesiologist's prediction of postcesarean pain severity accounted for 27% of the variance in mean postoperative pain with movement and may be a useful tool in predicting postcesarean pain. Implications: This study highlights the potential of a combined preoperative pain rating questionnaire and anesthesiologist's predictions to improve postcesarean pain management. By accounting for 27% of the variance in mean postcesarean pain with movement, this approach could enhance pain management outcomes for CD patients.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Pain Research & Management
Pain Research & Management CLINICAL NEUROLOGY-
CiteScore
5.30
自引率
0.00%
发文量
109
审稿时长
>12 weeks
期刊介绍: Pain Research and Management is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies in all areas of pain management. The most recent Impact Factor for Pain Research and Management is 1.685 according to the 2015 Journal Citation Reports released by Thomson Reuters in 2016.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信