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Objectives Methods Results Conclusions This study aims to assess and contrast cognitive and psychological aspects of patients with burning mouth syndrome (BMS‐MCI) and geriatric patients (G‐MCI) with mild cognitive impairment, focusing on potential predictors like pain, mood disorders, blood biomarkers, and age‐related white matter changes (ARWMCs).The study enrolled 40 BMS‐MCI and 40 geriatric G‐MCI, matching them by age, gender, and educational background. Participants underwent psychological, sleepiness, and cognitive assessment including the Mini‐Mental State Exam (MMSE), Trail Making Test (TMT), Corsi Block‐Tapping Task, Rey Auditory Verbal Learning Test, Copying Geometric Drawings Test, Frontal Assessment Battery, and Digit Cancellation Test.G‐MCI patients exhibited higher ARWMCs scores in right (p = 0.005**) and left (p < 0.001**) temporal regions, which may relate to specific neurodegenerative processes. Conversely, BMS‐MCI patients showed higher levels of depression and anxiety and lower MMSE scores(p < 0.001**), also struggling more with tasks requiring processing speed and executive function, as evidenced by their higher TMT‐A scores (p < 0.001**).The study highlights particular deficits in global cognition and processing speed for BMS‐MCI. The influence of educational background, pain levels, cholesterol, sleep disturbances, and anxiety on these cognitive assessments underscores the need for personalized therapeutic strategies addressing both cognitive and emotional aspects of MCI. [ABSTRACT FROM AUTHOR]

Background: Burning mouth syndrome is a chronic orofacial pain with intraoral burning and other oral dysaesthetic symptoms that significantly affects the quality of life. The aim of this study is to evaluate the sexual desire in women with BMS and to investigate the possible related factors. Methods: A case–control study was performed. BMS patients were enrolled according to the International Classification of OroFacial Pain criteria. Demographic variables were collected. We evaluated pain with the Numeric Rating Scale (NRS), Visual Analogue Scale (VAS) and Total Pain Rating Index (T‐PRI), anxiety and depression using the Hospital Anxiety and Depression Scale (HADS‐A e HADS‐D), sleep disturbances with Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS), and sexual desire using Sexual Desire Inventory (SDI). Results: A total of 50 BMS women and 50 healthy controls were enrolled. Compared with the controls, the BMS patients showed higher scores in the NRS (7,81 ± 1,71 vs. 0,14 ± 0.40; p < 0.0001), TPR‐I (10,50 ± 4,86 vs. 0,36 ± 1,06; p < 0.0001), HADS‐A (11,86 ± 2,85 vs. 3,90 ± 2,81; p < 0.0001), HADS‐D (8,04 ± 3,18 vs. 1,42 ± 1,86; p < 0.0001) and PSQI (9,04 ± 2,62 vs. 4,64 ± 3,27; p < 0.0001). The mean SDI in the study group was significantly lower compared to healthy controls (32,36 ± 14,45 vs. 69,70 ± 19,94; p < 0.0001). No correlation was found between SDI and others items explored. Conclusion: In line with previous studies, anxiety, depression and sleep disturbances are more common in BMS patients than in healthy population. This pilot study demonstrates for the first time an association between BMS and low sexual desire. [ABSTRACT FROM AUTHOR]

Background: The symptomatology in Burning Mouth Syndrome (BMS) is complex and it should be considered in accordance with a biopsychosocial model. Objectives: 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. Methods: 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. Results: 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. Conclusions: 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. [ABSTRACT FROM AUTHOR]