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高影响性慢性疼痛:风险因素及预测指标评估

High-impact chronic pain: evaluation of risk factors and predictors.

作者信息

Şentürk İlteriş Ahmet, Şentürk Erman, Üstün Işıl, Gökçedağ Akın, Yıldırım Nilgün Pulur, İçen Nilüfer Kale

机构信息

Department of Pain Medicine, Bagcilar Education and Research Hospital, Istanbul, Turkiye.

Department of Psychiatry, Üsküdar University NP Feneryolu Medical Center, Istanbul, Turkiye.

出版信息

Korean J Pain. 2023 Jan 1;36(1):84-97. doi: 10.3344/kjp.22357.

Abstract

BACKGROUND

The concept of high-impact chronic pain (HICP) has been proposed for patients with chronic pain who have significant limitations in work, social life, and personal care. Recognition of HICP and being able to distinguish patients with HICP from other chronic pain patients who do not have life interference allows the necessary measures to be taken in order to restore the physical and emotional functioning of the affected persons. The aim was to reveal the risk factors and predictors associated with HICP.

METHODS

Patients with chronic pain without life interference (grade 1 and 2) and patients with HICP were compared. Significant data were evaluated with regression analysis to reveal the associated risk factors. Receiving operating characteristic (ROC) analysis was used to evaluate predictors and present cutoff scores.

RESULTS

One thousand and six patients completed the study. From pain related cognitive processes, fear of pain (odds ratio [OR], 0.92; 95% confidence interval [CI], 0.87-0.98; = 0.007) and helplessness (OR, 1.06; 95% CI, 1.01-1.12; = 0.018) were found to be risk factors associated with HICP. Predictors of HICP were evaluated by ROC analysis. The highest discrimination value was found for pain intensity (cut-off score > 6.5; 83.8% sensitive; 68.7% specific; area under the curve = 0.823; < 0.001).

CONCLUSIONS

This is the first study in our geography to evaluate HICP with measurement tools that evaluate all dimensions of pain. Moreover, it is the first study in the literature to evaluate predictors and cut-off scores using ROC analysis for HICP.

摘要

背景

高影响慢性疼痛(HICP)的概念已被提出,用于描述那些在工作、社交生活和个人护理方面存在显著限制的慢性疼痛患者。识别HICP并能够将HICP患者与其他没有生活干扰的慢性疼痛患者区分开来,有助于采取必要措施来恢复受影响者的身体和情感功能。本研究旨在揭示与HICP相关的危险因素和预测因素。

方法

对无生活干扰的慢性疼痛患者(1级和2级)和HICP患者进行比较。通过回归分析评估重要数据,以揭示相关危险因素。采用接受操作特征(ROC)分析来评估预测因素并给出截断分数。

结果

1006名患者完成了研究。在与疼痛相关的认知过程中,疼痛恐惧(优势比[OR],0.92;95%置信区间[CI],0.87 - 0.98;P = 0.007)和无助感(OR,1.06;95% CI,1.01 - 1.12;P = 0.018)被发现是与HICP相关的危险因素。通过ROC分析评估HICP的预测因素。发现疼痛强度的辨别价值最高(截断分数> 6.5;敏感度83.8%;特异度68.7%;曲线下面积 = 0.823;P < 0.001)。

结论

这是我们地区首次使用评估疼痛所有维度的测量工具来评估HICP的研究。此外,这是文献中首次使用ROC分析来评估HICP的预测因素和截断分数的研究。

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