Personalized Approach in the Management of Difficult-to-Treat and Treatment-Resistant Depression With Second-Generation Antipsychotics: A Delphi Statement.

Background Major depressive disorder (MDD) has many facets including mixed or atypical depression that requires personalized care to improve treatment-related outcomes. Second-generation antipsychotics (SGAs) offer complementary mechanisms for clinical roles in difficult-to-treat depression and treatment-resistant depression cases. Aim/objective To further delineate a consensus on the clinical positioning of SGAs for MDD, mixed, or atypical depression, a Knowledge Attitude Perception (KAP)-mediated Delphi Statement was planned. Material/methods A literature review for the definition, diagnosis, and management of MDD, mixed, and atypical depression as treatment-resistant depression (TRD) or difficult-to-treat depression (DTD) was conducted by a steering committee of academic and clinical experts (n=6) while developing a validated KAP questionnaire. Scientific statements as clinical recommendations were evolved using the Delphi methodology before building a clinical expert consensus with an online survey (n=24). Results Twenty-four psychiatrists highlighted DTD to offer a multidimensional approach to assess treatment strategies involving selective serotonin reuptake inhibitors (SSRIs) or SGAs, while ensuring symptom, functional, and quality of life (QoL) domain improvement for improved outcomes and remission rates. MDD cases with anxiety, anhedonia, comorbidities, and risk traits require personalized care with early induction of SGAs for severe cases or symptom persisters with functional impairment. Early augmentation with SGAs including aripiprazole or cariprazine can provide a favorable risk-benefit profile for clinical cases of MDD with or without the antecedent of mixed depression or personality disorder.  Conclusion The literature review and KAP responses emphasize the importance of early identification for personalized care strategies with SGAs for DTD. Large-scale real-world evidence needs to evolve with due recognition of different phenotypes as TRD or DTD with partial or functional impairment to understand the impact of appropriate treatment pathways with SGAs.

Intelligent play: How improv can improve clinician's emotional intelligence.

BACKGROUND: Emotional intelligence (EI) of physicians significantly impacts their personal well-being and professional success with broad implications in health care. A focused training on EI is often lacking in medical curricula. We sought to understand the impact of improvisation training on clinicians' EI. APPROACH: Four online medical improv workshops were offered to a diverse group of physicians with varied levels of practice experience including medicine-paediatric residents, paediatric educators, practising paediatricians and internal/family medicine clinicians. The improv training was thoughtfully curated and remained consistent for all four cohorts, lasting 2 h. Self-reported EI scales (pre and post) were captured using an online survey tool. The overall EI score and the scores of three EI components were compared before and after training. EVALUATION: Out of 64 participants, 41 participants (64%) completed both the pre- and post-surveys and were included in the final analysis. Participant's pre-training score (mean:123.9, range: 121.1-126.7) was compared to their post-training score (mean:128.9, range: 126.3-131.3). The t tests comparing EI scores showed that compared to pre-intervention, participants on average scored 4.9 points higher (95% CI: 3.1-6.7; p < 0.01) on the overall scale, 2.2 points higher (95% CI: 1.2-3.2; p < 0.01) on the appraisal score, 1.4 points higher (95% CI: 0.8-2.0; p < 0.01) on the regulation score and 1.2 points higher (95% CI: 0.4-2.1; p = 0.01) on the utilisation score. IMPLICATIONS: Improv training is an innovative method to fill the crucial gap in EI curricula. There was a statistically significant improvement in average score for clinicians' EI after a pilot improv training programme.

Homeopathic Formulations of Syzygium jambolanum Alleviate Glycation-Mediated Structural and Functional Modifications of Albumin: Evaluation through Multi-Spectroscopic and Microscopic Approaches.

BACKGROUND: The growing interest in identifying the mode of action of traditional medicines has strengthened its research. Syzygium jambolanum (Syzyg) is commonly prescribed in homeopathy and is a rich source of phytochemicals. OBJECTIVE: The present study aims to shed light on the anti-glycation molecular mechanism of Syzyg mother tincture (MT), 30c, and 200c on glycated human serum albumin (HSA) by multi-spectroscopic and microscopic approaches. METHODS: The phytochemicals and antioxidant potential of the Syzyg formulations were estimated by the high-performance liquid chromatography and spectroscopic technique, respectively. Glycation was initiated by incubating HSA with methylglyoxal, three Syzyg formulations, and the known inhibitor aminoguanidine in separate tubes at 37°C for 48 hours. The formation of glycation adducts was assessed by spectrofluorometer and affinity chromatography. The structural modifications were analyzed through circular dichroism, Fourier transform infrared spectroscopy, turbidity, 8-anilinonapthalene-1-sulfonic acid fluorescence, and nuclear magnetic resonance. Further, the formation of the aggregates was examined by thioflavin T, native-polyacrylamide gel electrophoresis, and transmission electron microscopy. Additionally, the functional modifications of glycated HSA were determined by esterase-like activity and antioxidant capacity. The binding analysis of Syzyg formulations with glycated HSA was evaluated by surface plasmon resonance (SPR). RESULTS: Syzyg formulations MT, 30c, and 200c contained gallic acid and ellagic acid as major phytochemicals, with concentrations of 16.02, 0.86, and 0.52 µg/mL, and 227.35, 1.35, and 0.84 µg/mL, respectively. Additionally, all three formulations had remarkable radical scavenging ability and could significantly inhibit glycation compared with aminoguanidine. Further, Syzyg formulations inhibited albumin's structural and functional modifications. SPR data showed that Syzyg formulations bind to glycated HSA with an equilibrium dissociation constant of 1.10 nM. CONCLUSION: Syzyg formulations inhibited the glycation process while maintaining the structural and functional integrity of HSA.

Trajectories of opioid prescribing by general dentists, specialists, and oral and maxillofacial surgeons in the United States, 2015-2019.

BACKGROUND: Despite decreases in opioid prescribing from 2016 through 2019, some dentists (general, specialists, oral and maxillofacial surgeons) in the United States continue to prescribe opioids at high rates. The authors' objective was to define dentists' trajectories of opioid prescribing. METHODS: The authors identified actively prescribing dentists from the IQVIA Longitudinal Prescription data set, from 2015 through 2019. Group-based trajectory modeling identified opioid prescribing trajectories on the basis of dentists' annual prescribing rates for the overall sample (model 1) and for high prescribers (model 2). The authors used χ2 or Mann-Whitney U tests to characterize the model 2 trajectory groups. RESULTS: In model 1 (n = 199,145 prescribers), group-based trajectory modeling identified 8 trajectories that were grouped into 5 categories. A total of 14.8% were nonprescribers who composed less than 1% of all prescriptions, low prescribers (3 groups; 46.0%) prescribed at low rates (2015: 5.5%-16.9%; 2019: 1.5%-11.9%), decliners (7.3%) decreased prescribing rapidly (2015: 29.4%; 2019: 5.1%), moderately high prescribers (2 groups; 28.5%) prescribed moderately (2015: 28.7% and 39.2%; 2019: 18.1% and 28.8%), and consistently high prescribers (3.4%) prescribed at high rates (2015: 54.6%; 2019: 44.7%). In model 2, from consistently high prescribers (n = 6,845), 4 trajectories were identified. Of these 4 groups, 1 group (7.5%) declined prescribing rapidly. The groups did not differ meaningfully; however, the rapid decliners included fewer oral and maxillofacial surgeons (13.0% vs 18.4%), saw more Medicaid patients (2.5% vs 1.0%), and had higher opioid prescribing rates in 2015 (95.5% vs 91.6%) (P < .001 for all). CONCLUSIONS: The authors identified variations in dentists' opioid prescribing rates. Although 60% of dentists decreased prescribing rates by 30% through 83%, 3.4% of dentists consistently prescribed at high rates. PRACTICAL IMPLICATIONS: Some dentists continue to prescribe opioids at high levels, indicating that additional information is needed to better inform policy and clinical decision making.

Evaluation of 'Normal' Cognitive Functions and Correlation With MRI Volumetry: Towards a Definition of Vascular Cognitive Impairment.

Introduction It is important to establish criteria to define vascular cognitive impairment (VCI) in India as VCI is an image-based diagnosis and magnetic resonance imaging (MRI) changes resulting from age with prevalent vascular risk factors may confound MRI interpretation. The objective of this study was to establish normative community data for MRI volumetry including white matter hyperintensity volume (WMHV), correlated with age-stratified cognitive scores and vascular risk factors (VRFs), in adults aged 40 years and above.  Methods We screened 2651 individuals without known neurological morbidity, living in Mumbai and nearby rural areas, using validated Marathi translations of Kolkata Cognitive Battery (KCB) and geriatric depression score (GDS). We stratified 1961 persons with GDS ≤9 by age and cognitive score, and randomly selected 10% from each subgroup for MRI brain volumetry. Crude volumes were standardized to reflect percentage of intracranial volume.  Results MRI volumetry studies were done in 199 individuals (F/M = 90/109; 73 with body mass index (BMI) ≥25; 44 hypertensives; 29 diabetics; mean cognitive score 76.3). Both grey and white matter volumes decreased with increasing age. WMHV increased with age and hypertension. Grey matter volume (GMV) decreased with increasing WMHV. Positive predictors of cognition included standardized hippocampal volume (HCV), urban living, education, and BMI, while WMHV and age were negative predictors. Urban dwellers had higher cognitive scores than rural, and, paradoxically, smaller HCV.  Conclusion In this study of MRI volumetry correlated with age, cognitive scores and VRFs, increasing age and WMHV predicted lower cognitive scores, whereas urban living and hippocampal volume predicted higher scores. Age and WMHV also correlated with decreasing GMV. Further study is warranted into sociodemographic and biological factors that mutually influence cognition and brain volumes, including nutritional and endocrine factors, especially at lower cognitive score bands. In this study, at the lower KCB score bins, the lack of laboratory data pertaining to nutritional and endocrine deficiencies is a drawback that reflects the logistical limitations of screening large populations at the community level. Our volumetric data which is age and cognition stratified, and takes into account the vascular risk factors associated, nevertheless constitutes important baseline data for the Indian population. Our findings could possibly contribute to the formulation of baseline criteria for defining VCI in India and could help in early diagnosis and control of cognitive decline and its key risk factors.

Case Report: A Parotid Abscess With Otorrhea, Drainage via the Fissure of Santorini.

We report a case of a healthy 62-year-old male with no identifiable risk factors who presented with a 2-week history of progressive unilateral parotid gland enlargement and tenderness followed by subsequent otorrhea. A computed tomography scan and ultrasound confirmed a markedly enlarged posterior aspect of the parotid gland with the evidence of necrosis. The culture of aspirated fluid grew Staphylococcus aureus. Purulent fluid was then noted draining from the external auditory canal, via the fissure of Santorini. The patient was treated with antibiotics, pain management, and daily parotid massage with complete resolution of the parotitis. Acute bacterial parotitis with subsequent drainage and otorrhea through the fissures of Santorini is rare, with only a few reported cases in the literature.

Testing a Deliberative Democracy Engagement Intervention to Increase Guideline-Concordance Among Oral Health Providers: Results from the DISGO Cluster-Randomized, Stepped-Wedge Trial.

Background: Dental caries affects billions worldwide and in the U.S. is among the most prevalent noncommunicable diseases in both children and adults. Early in the caries process, it can be arrested by dental sealants, which are non-invasive and thus tooth sparing, however, few dentists have adopted this approach. Deliberative engagement processes enable participants to engage with diverse perspectives on a policy issue and develop and share with policy makers informed opinions about the policy issue. We examined the effects of a deliberative engagement process on the ability of oral health providers to endorse implementation interventions and to apply dental sealants. Methods: Using a stepped wedge design, 16 dental clinics were cluster randomized, and 680 providers and staff were exposed to a deliberative engagement process that included an introductory session, workbook, facilitated small group deliberative forum, and post-forum survey. Forum participants were assigned to forums to ensure diverse role representation. Mechanisms of action examined included sharing voice and diversity of opinion. Three months after each clinic's forum, the clinic manager was interviewed about implementation interventions deployed. There were 98 clinic-months in the non-intervention period and 101 clinic-months in the intervention period. Results: Compared with providers and staff in small clinics, providers and staff in medium and large clinics more strongly agreed that their clinic should adopt two of the three proposed implementation interventions targeting the first barrier and one of the two proposed implementation interventions targeting the second barrier. Compared with the non-intervention period, in the intervention period providers did not place more sealants on occlusal non-cavitated carious lesions. Survey respondents reported sharing both promotive and prohibitive voice. From the beginning to the end of the forums, most forum participants did not change their opinions about the possible implementation interventions. At the end of the forums, there was no significant within-group variability in implementation interventions endorsed. Conclusions: Deliberative engagement intervention may help clinic leadership identify implementation interventions when there is a challenging problem, a network of semi-autonomous clinics, and autonomous providers within those clinics. It remains to be determined whether there is a range of perspectives within clinics. Trial Registration: This project is registered at ClinicalTrials.gov with ID NCT04682730. The trial was first registered on 12/18/2020. https://clinicaltrials.gov/ct2/show/NCT04682730.

Indian Psychiatric Society multicentre study: Diagnostic patterns, comorbidity and prescription practices for patients with Dementia.

Background: There are more than 5 million people with dementia in India. Multicentre studies looking at details of treatment for people with dementia In India are lacking. Clinical audit is a quality improvement process which aims to systematically assess, evaluate, and improve patient care. Evaluating current practice is the key to a clinical audit cycle. Aim: This study aimed to assess the diagnostic patterns and prescribing practices of psychiatrists for patients with dementia in India. Method: A retrospective case file study was conducted across several centers in India. Results: Information from the case records of 586 patients with dementia was obtained. Mean age of the patients was 71.14 years (standard deviation = 9.42). Three hundred twenty one (54.8%) were men. Alzheimer's disease (349; 59.6%) was the most frequent diagnosis followed by vascular dementia (117; 20%). Three hundred fifty five (60.6%) patients had medical disorders and 47.4% patients were taking medications for their medical conditions. Eighty one (69.2%) patients with vascular dementia had cardiovascular problems. Majority of the patients (524; 89.4%) were on medications for dementia. Most frequently prescribed treatment was Donepezil (230; 39.2%) followed by Donepezil-Memantine combination (225; 38.4%). Overall, 380 (64.8%) patients were on antipsychotics. Quetiapine (213, 36.3%) was the most frequently used antipsychotic. Overall, 113 (19.3%) patients were on antidepressants, 80 (13.7%) patients were on sedatives/hypnotics, and 16 (2.7%) patients were on mood stabilizers. Three hundred nineteen (55.4%) patients and caregivers of 374 (65%) patients were receiving psychosocial interventions. Conclusions: Diagnostic and prescription patterns in dementia which emerged from this study are comparable to other studies both nationally and internationally. Comparing current practices at individual and national levels against accepted guidelines, obtaining feedback, identifying gaps and instituting remedial measures help to improve the standard of care provided.

Protraction Headgear Compliance and Orthognathic Surgery in Patients With Cleft Lip and Palate.

Assess cephalometric parameters and the need for orthognathic surgery (OS) and its relationship with compliance in protraction headgear (PHG).Retrospective case series.Hospital cleft-craniofacial center.23 patients with nonsyndromic cleft lip and palate and history of lip and palate repair.Patients received PHG and orthodontic treatment. Compliant patients were compared to patients that were not. Protraction was applied with 170-gram elastics and patients were instructed to wear for at least 12 hours daily.Cephalometric measurements at initial (T1), post-PHG (T2), and pre-surgical or post-orthodontic treatment (T3) of at least age 15 for females and 17 for males and the presence of OS were compared.83% (19) of patients reported compliance with therapy. Of those compliant, 68% (13) had OS and 32% (6) did not (P = .99). Inter-group comparisons at T1 between compliant and noncompliant showed no significant differences and the non-OS patients started with larger nasolabial angles (P < .05). At T2, there were no significant cephalometric differences between groups. At T3, compliant patients showed significantly more upper incisor proclination than noncompliant patients. Between OS and non-OS, OS patients had significantly decreased ANB, Wits, convexity, overjet, and FMA and larger nasolabial angles (P < .05).Patients compliant with PHG showed no difference in the need for OS. However, after orthodontic treatment, compliant patients showed more upper incisor proclination and OS patients with decreased ANB, Wits, convexity, overjet, FMA, and larger nasolabial angles.

Digital intraoral imaging: analysis of retakes and reduction in radiation exposure using rectangular collimation.

The purposes of this study were to examine the distribution and extent of retakes with digital intraoral imaging when operators transitioned from using round to rectangular collimators and to determine the effect of collimator shape on radiation exposure to patients. This study was conducted using digital intraoral radiographic data from 2018 to 2019 in a dental school radiology clinic. Digital intraoral radiography was performed with round collimators during 2018 and then with rectangular collimators in 2019 with the same cohort of students. Exposure values were obtained, and effective doses were calculated. Although the number of retakes increased with the transition from round to rectangular collimators, the transition also resulted in a statistically significant reduction in the overall effective dose for patients (P < 0.01; Pearson chi-square test), with an average difference of 60% between round and rectangular collimators. Even with the increase in the number of retakes, a decrease in effective dose was observed when rectangular collimation was used. Most retakes were due to placement errors, defined as missing contact points, missing apices of teeth, or a missing area of interest. As students gained more experience and practice with rectangular collimation, the number of retakes decreased. With proper clinical and didactic training and emphasis on the importance of rectangular collimation, a transition from round to rectangular collimation can be achieved with a minimal initial increase in retakes and subsequent normalization of rates, resulting in a significant reduction of the radiation dose to patients.

Improving automated diagnosis of epilepsy from EEGs beyond IEDs.

Objective.Clinical diagnosis of epilepsy relies partially on identifying interictal epileptiform discharges (IEDs) in scalp electroencephalograms (EEGs). This process is expert-biased, tedious, and can delay the diagnosis procedure. Beyond automatically detecting IEDs, there are far fewer studies on automated methods to differentiate epileptic EEGs (potentially without IEDs) from normal EEGs. In addition, the diagnosis of epilepsy based on a single EEG tends to be low. Consequently, there is a strong need for automated systems for EEG interpretation. Traditionally, epilepsy diagnosis relies heavily on IEDs. However, since not all epileptic EEGs exhibit IEDs, it is essential to explore IED-independent EEG measures for epilepsy diagnosis. The main objective is to develop an automated system for detecting epileptic EEGs, both with or without IEDs. In order to detect epileptic EEGs without IEDs, it is crucial to include EEG features in the algorithm that are not directly related to IEDs.Approach.In this study, we explore the background characteristics of interictal EEG for automated and more reliable diagnosis of epilepsy. Specifically, we investigate features based on univariate temporal measures (UTMs), spectral, wavelet, Stockwell, connectivity, and graph metrics of EEGs, besides patient-related information (age and vigilance state). The evaluation is performed on a sizeable cohort of routine scalp EEGs (685 epileptic EEGs and 1229 normal EEGs) from five centers across Singapore, USA, and India.Main results.In comparison with the current literature, we obtained an improved Leave-One-Subject-Out (LOSO) cross-validation (CV) area under the curve (AUC) of 0.871 (Balanced Accuracy (BAC) of 80.9%) with a combination of three features (IED rate, and Daubechies and Morlet wavelets) for the classification of EEGs with IEDs vs. normal EEGs. The IED-independent feature UTM achieved a LOSO CV AUC of 0.809 (BAC of 74.4%). The inclusion of IED-independent features also helps to improve the EEG-level classification of epileptic EEGs with and without IEDs vs. normal EEGs, achieving an AUC of 0.822 (BAC of 77.6%) compared to 0.688 (BAC of 59.6%) for classification only based on the IED rate. Specifically, the addition of IED-independent features improved the BAC by 21% in detecting epileptic EEGs that do not contain IEDs.Significance.These results pave the way towards automated detection of epilepsy. We are one of the first to analyze epileptic EEGs without IEDs, thereby opening up an underexplored option in epilepsy diagnosis.

Suicide among Health Care Professionals-An Indian Perspective.

Suicide is a global phenomenon that claims a person's life every 40 s. The suicide-mortality rate in India is higher than the worldwide average for health care professionals (HCP). The treatment gap for mental health care is alarming, more than 80% in India which has improved compared to a decade. Among the methods chosen by HCPs for dying by suicide, violent suicide methods are more common. Hanging is the most common means, followed by lethal injection and jumping from a building. Among the medical students and professionals in India, academic stress is the leading cause of suicides, followed by mental illness and harassment. Stressfully long working hours, starvation for long hours, inadequate diet, sleep deprivation, inadequate rest, high levels of personal expectations, knowledge of lethal suicide methods, easy access to potentially fatal drugs, apathy, and fearlessness towards death are some of the contributing factors. Primary preventive measures to minimize suicides in HCPs would be to conduct stress-management workshops at an institutional level, routine mental health check-ups in healthcare institutions, mental-health screening for students enrolling into healthcare courses, and prompt referrals to mental healthcare facilities. In addition, telehealth services or mental health services for medical professionals of India are the need of the hour.

Study protocol: A stepped-wedge, cluster-randomized trial of the effectiveness of a deliberative loop in identifying implementation strategies for the adoption of a dental sealant guideline in dental clinics.

BACKGROUND: The American Dental Association (ADA) recommends dental providers apply dental sealants to the occlusal surfaces of permanent molars for the prevention or treatment of non-cavitated dental caries. Despite the evidence-based support for this guideline, adherence among general dentists is low, ranging from less than 5 to 38.5%. Thus, an evidence-to-practice gap exists, and it is unclear which implementation strategies would best support providers in adopting and implementing the evidence-based practice. One potential approach to selecting and tailoring implementation strategies is a deliberative loop process, a stakeholder-engaged approach to decision-making. This trial aims to test the acceptability, feasibility, and effectiveness of using a deliberative loop intervention with stakeholders (i.e., providers and staff) to enable managers to select implementation strategies that facilitate the adoption of an evidence-based dental practice. METHODS: Sixteen dental clinics within Kaiser Permanente Northwest Dental will be cluster randomized to determine the timing of receiving the intervention in this stepped-wedge trial. In the three-part deliberative loop intervention, clinic stakeholders engage in the following activities: (1) receive background information, (2) participate in facilitated small-group discussions designed to promote learning from each other's lived experiences and develop informed opinions about effective clinic-level implementation strategies, and (3) share their informed opinions with clinic leaders, who may then choose to select and deploy implementation strategies based on the stakeholders' informed opinions. The primary outcome of Reach will be defined as patient-level receipt of guideline-concordant care. Secondary outcomes will include the cost-effectiveness, acceptability, and feasibility of the deliberative loop process. Implementation strategies deployed will be catalogued over time. DISCUSSION: These results will establish the extent to which the deliberative loop process can help leaders select and tailor implementation strategies with the goal of improving guideline-concordant dental care. TRIAL REGISTRATION: This project is registered at ClinicalTrials.gov with ID NCT04682730. The trial was first registered on 12/18/2020. https://clinicaltrials.gov/ct2/show/NCT04682730.

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.

Epilepsy diagnosis based on Interictal Epileptiform Discharges (IEDs) in scalp electroencephalograms (EEGs) is laborious and often subjective. Therefore, it is necessary to build an effective IED detector and an automatic method to classify IED-free versus IED EEGs. In this study, we evaluate features that may provide reliable IED detection and EEG classification. Specifically, we investigate the IED detector based on convolutional neural network (ConvNet) with different input features (temporal, spectral, and wavelet features). We explore different ConvNet architectures and types, including 1D (one-dimensional) ConvNet, 2D (two-dimensional) ConvNet, and noise injection at various layers. We evaluate the EEG classification performance on five independent datasets. The 1D ConvNet with preprocessed full-frequency EEG signal and frequency bands (delta, theta, alpha, beta) with Gaussian additive noise at the output layer achieved the best IED detection results with a false detection rate of 0.23/min at 90% sensitivity. The EEG classification system obtained a mean EEG classification Leave-One-Institution-Out (LOIO) cross-validation (CV) balanced accuracy (BAC) of 78.1% (area under the curve (AUC) of 0.839) and Leave-One-Subject-Out (LOSO) CV BAC of 79.5% (AUC of 0.856). Since the proposed classification system only takes a few seconds to analyze a 30-min routine EEG, it may help in reducing the human effort required for epilepsy diagnosis.

History of dysplasia and primary site associated with recurrence in T1N0 oral squamous cell carcinoma.

OBJECTIVE: Recurrent disease occurs in a significant proportion of early-stage oral squamous cell carcinoma (OSCC) despite removal of the entire tumor with clear surgical margins. Our study sought to identify clinicopathologic factors that increase the risk of locoregional recurrence in T1N0 OSCC. STUDY DESIGN: We conducted an observational retrospective analysis of 65 cases of T1N0 OSCC over a period of 13 years. For each case, we examined the clinical presentation, histopathologic appearance, and treatment characteristics of interest to evaluate the association between these variables and locoregional recurrence. RESULTS: The 5-year and 10-year locoregional recurrence rates were 29.2% and 33.8%, respectively. Individuals with prior oral dysplasia had significantly higher odds for locoregional recurrence (P < .01) and reduced 5-year disease-free survival rates (P < .01). OSCC of the tongue and floor of the mouth had lower recurrence odds than carcinomas of the gingiva, buccal mucosa, and palate (P < .05). Histologic grade (P = .80), depth of invasion (P = .82), and elective neck dissection (P = .80) did not appear to influence locoregional recurrence for T1N0 tumors. CONCLUSIONS: Given the morbidity and mortality associated with OSCC, understanding of the clinicopathologic factors associated with recurrent disease may lead to improved treatment and follow-up protocols for a subset of early-stage patients.

Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features.

Pathological slowing in the electroencephalogram (EEG) is widely investigated for the diagnosis of neurological disorders. Currently, the gold standard for slowing detection is the visual inspection of the EEG by experts, which is time-consuming and subjective. To address those issues, we propose three automated approaches to detect slowing in EEG: Threshold-based Detection System (TDS), Shallow Learning-based Detection System (SLDS), and Deep Learning-based Detection System (DLDS). These systems are evaluated on channel-, segment-, and EEG-level. The three systems perform prediction via detecting slowing at individual channels, and those detections are arranged in histograms for detection of slowing at the segment- and EEG-level. We evaluate the systems through Leave-One-Subject-Out (LOSO) cross-validation (CV) and Leave-One-Institution-Out (LOIO) CV on four datasets from the US, Singapore, and India. The DLDS achieved the best overall results: LOIO CV mean balanced accuracy (BAC) of 71.9%, 75.5%, and 82.0% at channel-, segment- and EEG-level, and LOSO CV mean BAC of 73.6%, 77.2%, and 81.8% at channel-, segment-, and EEG-level. The channel- and segment-level performance is comparable to the intra-rater agreement (IRA) of an expert of 72.4% and 82%. The DLDS can process a 30 min EEG in 4 s and can be deployed to assist clinicians in interpreting EEGs.