Cross-sectional study and clinical prediction of post-thyroidectomy discomfort.

IF 1.9 3区 医学 Q3 SURGERY
Gland surgery Pub Date : 2026-07-31 Epub Date: 2026-06-29 DOI:10.21037/gs-2026-0208
Jin Du, Zhaohua Shen, Yang Song, Xiaonan Huang, Fanfu Fang, Chenlu Ding, Qiuxia Ni, Yan Guo, Hengyu Li, Junyi Shi, Jing Chen, Zhiping Huang, Chaoqian Liu
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引用次数: 0

Abstract

Background: Thyroid lobectomy may result in various postoperative adverse symptoms, which are closely associated with patient satisfaction and recovery outcomes. The aim of this study was to investigate the incidence of discomfort symptoms in postoperative patients following thyroid lobectomy and to develop a predictive model for early identification of patients at high risk of postoperative pain and vomiting, which would be helpful in implementing preventive management.

Methods: We enrolled a total of 532 patients hospitalised for thyroid lobectomy under general anaesthesia between October 2024 and March 2025, and assessed patients' postoperative discomfort symptoms by means of a questionnaire. Risk factors were identified by multivariate logistic regression and nomograms were created, followed by performance assessment and clinical utility assessment of nomograms.

Results: The most common complications after thyroidectomy include pain in the incision, pharyngeal symptoms (sore throat, dysphagia, cough, etc.) and sleep disturbance. The postoperative pain frequency prediction model incorporated five correlates: thyroxine (T4), thyroglobulin antibody (TGAb), lymph node metastasis, age, and body mass index (BMI), the postoperative pain level prediction model incorporated three correlates: thyroid peroxidase antibody (TPOAb), BMI, and nodal benign or malignant status, and the postoperative vomiting prediction model incorporated four correlates: TGAb, sex, nodal diameter, and nalbuphine use.

Conclusions: The established nomogram may help accurately identify high-risk patients for post-thyroidectomy pain and postoperative nausea and vomiting (PONV), facilitating the timely provision of personalized pain and vomiting management strategies.

甲状腺切除术后不适的横断面研究及临床预测。
背景:甲状腺小叶切除术后可能出现各种不良症状,这些不良症状与患者满意度和恢复结果密切相关。本研究旨在探讨甲状腺小叶切除术后患者不适症状的发生率,并建立一种预测模型,用于早期识别术后疼痛和呕吐高危患者,有助于实施预防性管理。方法:入选2024年10月至2025年3月在全麻下住院的甲状腺小叶切除术患者532例,通过问卷调查的方式评估患者术后不适症状。通过多变量逻辑回归确定危险因素,并创建nomogram,然后对nomogram进行性能评估和临床效用评估。结果:甲状腺切除术后最常见的并发症为切口疼痛、咽部症状(咽痛、吞咽困难、咳嗽等)和睡眠障碍。术后疼痛频率预测模型包括甲状腺素(T4)、甲状腺球蛋白抗体(TGAb)、淋巴结转移、年龄、体重指数(BMI) 5个相关因素;术后疼痛水平预测模型包括甲状腺过氧化物酶抗体(TPOAb)、BMI、淋巴结良恶性3个相关因素;术后呕吐预测模型包括TGAb、性别、淋巴结直径、纳布啡使用情况4个相关因素。结论:所建立的nomogram甲状腺切除术后疼痛及术后恶心呕吐(PONV)高危患者的准确识别,有助于及时提供个性化的疼痛呕吐管理策略。
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
Gland surgery
Gland surgery Medicine-Surgery
CiteScore
3.60
自引率
0.00%
发文量
113
期刊介绍: Gland Surgery (Gland Surg; GS, Print ISSN 2227-684X; Online ISSN 2227-8575) being indexed by PubMed/PubMed Central, is an open access, peer-review journal launched at May of 2012, published bio-monthly since February 2015.
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