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OBJECTIVE: Blepharospasm (BSP), focal dystonia with the highest risk of spread, lacks clear understanding of early spreading risk factors and objective prognostic indicators. We aimed to identify these risk factors through clinical and electrophysiological assessments, and to establish a predictive model for dystonic spread in BSP. METHODS: We prospectively followed BSP patients for 4 years, collecting data on dystonic spread, and conducting electrophysiological evaluations. The blink reflex, masseter inhibitory reflex, and trigeminal somatosensory evoked potential were assessed. Univariable and multivariable Cox proportional hazard regression models were used to assess clinical characteristics associated with BSP dystonic spread. A predictive model was constructed using a nomogram, and performance of the model was evaluated using the area under the receiver operating characteristic curve. RESULTS: A total of 136 enrolled participants (mean age 56.34 years) completed a 4-year follow-up. Among them, 62 patients (45.6%) showed spread to other body regions. Multivariable Cox regression analysis showed that a high Hamilton Anxiety Scale score (hazard ratio 1.19, 95% confidence interval 1.13-1.25, p < 0.001), prolonged trigeminal somatosensory evoked potential mandibular branch P1-N2 peak interval (hazard ratio 1.11, 95% confidence interval 1.02-1.21, p = 0.017), and elevated trigeminal somatosensory evoked potential mandibular branch P1-N2 peak amplitude (hazard ratio 1.26, 95% confidence interval 1.12-1.41, p < 0.001) were independent risk factors for BSP dystonic spread within 4 years. Combining these factors, the predictive models demonstrated excellent discriminative ability, with the receiver operating characteristic curve score being 0.797, 0.790, 0.847, and 0.820 at 1, 2, 3 and 4 years after enrollment, respectively. INTERPRETATION: We established a predictive model with significant value for anticipating dystonic spread in BSP, offering crucial evidence. These findings contribute essential insights into the early clinical identification of the development and evolution of BSP diseases. ANN NEUROL 2024.
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OBJECTIVE: This study aimed to investigate the potential relationship between oral hygiene and the risk of oral cancer and its subtypes after controlling the effects of several confounding factors. MATERIALS AND METHODS: A large-scale case-control study was conducted from January 2010 to August 2019, recruiting a total of 1,288 oral cancer cases with newly diagnosed and 4,234 healthy controls. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were utilized to minimize confounding effects. Conditional logistic regression was used to evaluate the effects of oral hygiene indicators on oral cancer. RESULTS: A composite oral hygiene score was developed based on five indicators selected based on PSM and IPTW analysis (including tooth loss, dentures wearing, the frequency of tooth brushing, regular dental visits, and recurrent dental ulcer). Participants with a higher score, compared with their lower counterparts, showed a 49% increased risk (the odds ratio (OR) was 1.49 (95% confidence interval (CI): 1.26-1.75). A similar association pattern was found following IPTW analyses (OR = 1.32; 95% CI: 1.22-1.42). Of note, the adverse effects of poor oral hygiene were more evident among the sites of gingival and buccal (PSM analysis: 2.03-fold and 2.68-fold increased risk; IPTW analysis: 1.57-fold and 2.07-fold increased risk, respectively). Additionally, a greater positive association was observed between poor oral hygiene and oral squamous cell carcinoma, compared with other pathological types. CONCLUSION: This study establishes a composite oral hygiene score and provides supportive evidence of poor oral hygiene associated with a higher risk of oral cancer, particularly in the gingival and buccal mucosa sites and in the squamous cell carcinoma. CLINICAL RELEVANCE: The data highlights the importance of improving poor oral hygiene habits, which has public health implications for the prevention of oral cancer.
Asunto(s)
Carcinoma de Células Escamosas , Neoplasias de Cabeza y Cuello , Neoplasias de la Boca , Carcinoma de Células Escamosas/etiología , Estudios de Casos y Controles , Neoplasias de Cabeza y Cuello/complicaciones , Humanos , Neoplasias de la Boca/complicaciones , Higiene Bucal , Puntaje de PropensiónRESUMEN
OBJECTIVE: This study aimed to explore the potential predictive value of oral microbial signatures for oral squamous cell carcinoma (OSCC) risk based on machine learning algorithms. METHODS: The oral microbiome signatures were assessed in the unstimulated saliva samples of 80 OSCC patients and 179 healthy individuals using 16S rRNA gene sequencing. Four different machine learning classifiers were used to develop prediction models. RESULTS: Compared with control participants, OSCC patients had a higher microbial dysbiosis index (MDI, p < 0.001). Among four machine learning classifiers, random forest (RF) provided the best predictive performance, followed by the support vector machines, artificial neural networks and naive Bayes. After controlling the potential confounders using propensity score matching, the optimal RF model was further developed incorporating a minimal set of 20 bacteria genera, exhibiting better predictive performance than the MDI (AUC: 0.992 vs. 0.775, p < 0.001). CONCLUSIONS: The novel MDI and RF model developed in this study based on oral microbiome signatures may serve as noninvasive tools for predicting OSCC risk.
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Carcinoma de Células Escamosas , Aprendizaje Automático , Microbiota , Neoplasias de la Boca , Saliva , Humanos , Neoplasias de la Boca/microbiología , Masculino , Femenino , Persona de Mediana Edad , Saliva/microbiología , Carcinoma de Células Escamosas/microbiología , Estudios de Casos y Controles , Anciano , Algoritmos , Valor Predictivo de las Pruebas , Adulto , Disbiosis/microbiología , Boca/microbiología , ARN Ribosómico 16S/genética , Máquina de Vectores de SoporteRESUMEN
Facial synkinesis can be present in both primary and postparalytic hemifacial spasm (HFS). The present retrospective study aimed to summarize the clinical features of synkinesis and explore an appropriate botulinum toxin A (BoNT-A) injection strategy to manage the synkinesis accompanying HFS. Video recordings of 234 patients with primary and postparalytic HFSs were analyzed. Improvements in the severity of spasm and synkinesis owing to BoNT-A treatment were monitored and compared among 36 primary and 12 postparalytic HFS patients with synkinesis and completed follow-up records. BoNT-A was injected into the voluntary facial region (VFR), the synkinetic facial region (SFR), or both VFR and SFR, and the efficacy of these strategies was evaluated and analyzed. Oral-ocular synkinesis in the primary group (32.8%) and ocular-oral synkinesis in the postparalytic group (81.0%) showed the highest incidence. Patients in both the primary and postparalytic groups exhibited a tremendous alleviation of spasm (97.2% vs. 91.7%, P > 0.05) following BoNT-A treatment. In both groups, coinjection and SFR injection were commonly used and effective in treatment of ocular and oral synkinesis, while VFR was frequently used but ineffective for frontal synkinesis. In addition, the improper muscle selection surrounding the mouth corner resulted in pattern change and treatment failure of oral synkinesis. Synkinesis mostly affected the ocular and oral regions. BoNT-A, via treatment of SFR, is effective against synkinesis accompanying HFS.