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口腔种植术后疼痛实时评估及影响因素分析
Real-time assessment of pain and its influencing factors after dental implant surgery
- 第三军医大学学报 2020年42卷第7期 页码：720-724
- 作者机构：
1.401147 重庆，重庆医科大学附属口腔医院修复科
2.401147 重庆，口腔疾病与生物医学重庆市重点实验室
3.401147 重庆，重庆市高校市级口腔生物医学工程重点实验室
- 作者简介：
[ 徐凌. E-mail:500203@hospital.cqmu.edu.cn XU Ling, E-mail:500203@hospital.cqmu.edu.cn
- 基金信息：国家自然科学基金青年科学基金(81800938);2016年重庆高校创新团队建设计划资助项目(CXTDG201602006)
DOI：10.16016/j.1000-5404.201910069
中图分类号： R441.1;R782.12;R783.3收稿：2019-10-13，
修回：2019-12-03，
纸质出版：2020-04-15
- 稿件说明：
移动端阅览
许芸, 徐心欣, 徐文杰, 等. 口腔种植术后疼痛实时评估及影响因素分析[J]. 第三军医大学学报, 2020,42(7):720-724.
Yun XU, Xinxin XU, Wenjie XU, et al. Real-time assessment of pain and its influencing factors after dental implant surgery[J]. Journal of Third Military Medical University, 2020, 42(7): 720-724.
许芸, 徐心欣, 徐文杰, 等. 口腔种植术后疼痛实时评估及影响因素分析[J]. 第三军医大学学报, 2020,42(7):720-724. DOI： 10.16016/j.1000-5404.201910069.
Yun XU, Xinxin XU, Wenjie XU, et al. Real-time assessment of pain and its influencing factors after dental implant surgery[J]. Journal of Third Military Medical University, 2020, 42(7): 720-724. DOI： 10.16016/j.1000-5404.201910069.
摘要
目的
2
探讨实时性评估用于调查口腔种植术后疼痛程度的临床可行性，并分析术后疼痛情况及其相关影响因素。
方法
2
采用方便抽样的调查方法，抽取2018年11月至2019年8月于重庆医科大学附属口腔医院修复科接受口腔种植手术的患者233例。应用电话随访的方式，对其术后疼痛情况进行实时性评估调查。采用SPSS 23.0录入数据并进行统计分析，对患者术后疼痛情况进行统计描述，对可能的影响因素进行Spearman相关性及多元线性回归分析。
结果
2
最终228例纳入研究，应答率为97.9%。患者疼痛程度主要为轻度，在术后4、6 h时最为明显。Spearman相关性分析及多元线性回归分析显示，术前是否服用止疼药物(
P
=0.000
P
=0.004)、疼痛敏感度评分(PSQ-total)(
P
=0.016
P
=0.001)、手术时长(
P
=0.046
P
=0.028)是影响术后疼痛的主要因素。
结论
2
实时性评估的调查方法可行性高，可在临床研究工作中推广；针对疼痛敏感度较高及手术时间较长的患者，应指导其服用止疼药物，以减轻术后疼痛程度。
Abstract
Objective
2
To explore the clinical feasibility of real-time assessment for degree of pain after surgical dental implant placement
and to analyze the related influencing factors of postoperative pain.
Methods
2
A total of 233 patients undergoing dental implant surgery in the prosthodontics department from November 2018 to August 2019 were selected by convenient sampling in this study. The postoperative pain was evaluated in real time based on phone follow-up. All the data were collected and analyzed by SPSS 23.0 statistics. The postoperative pain was described statistically
and the predictor variables were tested by Spearman correlation analysis and multiple linear regression analysis.
Results
2
Finally
228 patients were included in the study
and the response rate was 97.9%. Pain intensity was mild for the most patients and the peak of it occurred at the 4th and 6th hour after surgery. Spearman correlation analysis and multiple linear regression analysis indicated that the influencing factors associated with the degree of postoperative pain included premedication with painkiller (
P
=0.000
P
=0.004)
the scores of pain sensitivity questionnai
re (PSQ-total) (
P
=0.016
P
=0.001) and operation time (
P
=0.046
P
=0.028).
Conclusion
2
Our real-time assessment is feasible
and is worthy of clinical promotion. For the patients with high pain sensitivity and longer operation time
painkillers should be recommended to relieve the pain.
关键词
Keywords
references
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