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.
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.
Authors: Arwa M Farag; Rui Albuquerque; Anura Ariyawardana; Milda Chmieliauskaite; Heli Forssell; Cibele Nasri-Heir; Gary D Klasser; Andrea Sardella; Michele D Mignogna; Mark Ingram; Charles R Carlson; Craig S Miller Journal: Oral Dis Date: 2019-06 Impact factor: 3.511
Authors: D Adamo; A Sardella; E Varoni; C Lajolo; M Biasotto; G Ottaviani; P Vescovi; T Simonazzi; M Pentenero; M Ardore; F Spadari; G Bombeccari; L Montebugnoli; D B Gissi; G Campisi; V Panzarella; M Carbone; L Valpreda; M Giuliani; M Aria; L Lo Muzio; M D Mignogna Journal: Oral Dis Date: 2018-03-13 Impact factor: 3.511
Authors: Gordon H Guyatt; Carol Estwing Ferrans; Michele Y Halyard; Dennis A Revicki; Tara L Symonds; Claudette G Varricchio; Anna Kotzeva; Jose M Valderas; Jordi Alonso; Jordi L Alonso Journal: Mayo Clin Proc Date: 2007-10 Impact factor: 7.616