Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy.
Department of Social Sciences, University Federico II of Naples, Naples, Italy.
J Oral Rehabil. 2022 Sep;49(9):890-914. doi: 10.1111/joor.13343. Epub 2022 Jun 21.
The symptomatology in Burning Mouth Syndrome (BMS) is complex and it should be considered in accordance with a biopsychosocial model.
To evaluate the multidimensional aspects of pain with a complete battery of tests and to analyse its relationship with potential predictors such as mood disorders, sleep and quality of life.
Forty patients with BMS versus an equal number of age and sex-matched healthy controls were enrolled. The VAS, SF-MPQ, BPI, PD-Q, BDI-II, STAI, PSQI, ESS, SF-36 and OHIP-14 were administered.
The scores of the VAS, SF-MPQ, BPI, PD-Q, BDI-II, STAI, PSQI, SF-36 and OHIP-14 were statistically significantly higher in the BMS patients than the controls (p < .001**). A strongly linear correlation between pain (VAS, SF-MPQ, BPI and PD-Q) and disease onset (STAI, BDI-II, PSQI and sub-items of SF-36 and OHIP-14) was found. In the multiple regression analysis, the contributions of the BDI-II and OHIP-14 were found to be statistically significant with the SF-MPQ, PD-Q and BPI in terms of severity and interference, while the contributions of the STAI and sleep were found to be statistically significant with the SF-MPQ and BPI in terms of severity and interference, respectively.
Pain tests are differently correlated with mood and quality of life. Therefore, a complete analysis of the patient requires several tools to better understand the multidimensional aspects of pain in BMS.
灼口综合征(BMS)的症状复杂,应根据生物心理社会模式进行考虑。
用完整的测试套件评估多维疼痛,并分析其与潜在预测因子(如情绪障碍、睡眠和生活质量)的关系。
纳入 40 名 BMS 患者和相同数量的年龄和性别匹配的健康对照者。评估了视觉模拟评分(VAS)、简短疼痛量表(SF-MPQ)、疼痛干扰量表(BPI)、患者疾病问卷(PD-Q)、贝克抑郁量表第二版(BDI-II)、状态特质焦虑量表(STAI)、匹兹堡睡眠质量指数(PSQI)、Epworth 嗜睡量表(ESS)、SF-36 健康调查简表和 Oral Health Impact Profile-14(OHIP-14)。
BMS 患者的 VAS、SF-MPQ、BPI、PD-Q、BDI-II、STAI、PSQI、SF-36 和 OHIP-14 评分均明显高于对照组(p<0.001**)。疼痛(VAS、SF-MPQ、BPI 和 PD-Q)与疾病发作(STAI、BDI-II、PSQI 和 SF-36 和 OHIP-14 的亚项)之间存在强烈的线性相关性。多元回归分析显示,BDI-II 和 OHIP-14 与 SF-MPQ、PD-Q 和 BPI 的严重程度和干扰之间的相关性具有统计学意义,而 STAI 和睡眠与 SF-MPQ 和 BPI 的严重程度和干扰之间的相关性具有统计学意义。
疼痛测试与情绪和生活质量的相关性不同。因此,全面分析患者需要使用多种工具,以更好地了解 BMS 中疼痛的多维方面。