Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.

PURPOSE: This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processing (NLP) and machine learning (ML) techniques on race-related spatiotemporal social media text data. Specifically, this study establishes the extent to which Latent Dirichlet Allocation (LDA) and Gibbs Sampling Dirichlet Multinomial Mixture (GSDMM)-based topic modeling determines social determinants of health (SDOH) categories, and how adequately custom named-entity recognition (NER) detects key SDOH factors from a race/ethnicity-related Reddit data corpus. METHODS: In this study, we collected race/ethnicity-specific data from 5 location subreddits including New York City, NY; Los Angeles, CA; Chicago, IL; Philadelphia, PA; and Houston, TX from March to December 2019 (before COVID-19 pandemic) and from March to December 2020 (during COVID-19 pandemic). Next, we applied methods from natural language processing and machine learning to analyze SDOH issues from extracted Reddit comments and conversation threads using feature engineering, topic modeling, and custom named-entity recognition (NER). RESULTS: Topic modeling identified 35 SDOH-related topics. The SDOH-based custom NER analyses revealed that the COVID-19 pandemic significantly impacted SDOH issues of marginalized Black and Asian communities. On average, the Social and Community Context (SCC) category of SDOH had the highest percent increase (366%) from the pre-pandemic period to the pandemic period across all locations and population groups. Some of the detected SCC issues were racism, protests, arrests, immigration, police brutality, hate crime, white supremacy, and discrimination. CONCLUSION: Reddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies that will address SDOH issues during public health crises.

An elderly patient with depression and a suicide attempt during the COVID-19 pandemic: a case report.

Objective: Elderly individuals are among the age groups with the highest risk of suicide. The coronavirus (COVID-19) pandemic forced isolation and resulted in an increased risk of depression, hopelessness, and perceived burdensomeness among the elderly, thereby increasing the risk of suicide. Methods: This is a case report of an elderly single retired school principal with obsessive-compulsive personality traits who developed depression with psychotic symptoms after being isolated following the movement control order (MCO) during the COVID-19 pandemic. The social isolation led to feelings of loneliness and hopelessness. The patient's depressive symptoms worsened after he developed physical illnesses, such as eye floaters, that affected his daily activities. This caused him to have suicidal ideation to the extent that he attempted suicide by ingesting 90 mL of pesticide. Two weeks prior to the attempt, he updated his will and asked his friend to keep it. After the suicide attempt, he vomited and had diarrhea and epigastric pain. He called his friend, who brought him to the hospital emergency room (ER). He was resuscitated and subsequently admitted to the intensive care unit (ICU). After being medically stabilized, he was transferred to the psychiatric ward, where further treatment was administered for his depression. His depressive symptoms and suicidal ideation improved after he was administered antidepressants and psychotherapy. Results: The impact of the COVID pandemic has led to a surge in mental health issues such as anxiety and depression. The elderly are among the highest-risk groups of individuals to contract or die of COVID-19 infection, and they are also the most likely to develop mental health issues related to the pandemic. Furthermore, the risk of death by suicide is highest in this age group due to physical illness, social isolation, and the lack of a support system. This case also highlights the need for awareness of suicidal ideation screening among non-medical healthcare professionals and religious organizations to avoid the treatment gap. Conclusion: It is essential to enhance suicide risk assessment and management among the elderly after the COVID-19 pandemic.

Association of interleukin-1, interleukin-6, collagen type I alpha 1, and osteocalcin gene polymorphisms with early crestal bone loss around submerged dental implants: A nested case control study.

STATEMENT OF PROBLEM: The reason for variations in peri-implant early crestal bone loss is unclear but may be due to genetic differences among individuals. PURPOSE: The purpose of this nested case control study was to investigate the association of single-nucleotide polymorphisms of interleukin-1, interleukin-6, collagen type I alpha1, and osteocalcin genes to early crestal bone loss around submerged dental implants. MATERIAL AND METHODS: Dental implants were placed in the mandibular posterior region (single edentulous space) of 135 participants selected according to predetermined selection criteria. Bone mineral density measurement by using dual energy X-ray absorptiometry, cone beam computed tomography scans at the baseline and after 6 months, and interleukin-1A-889 A/G (rs1800587), interleukin-1B-511 G/A (rs16944), interleukin-1B+3954 (rs1143634), interleukin-6-572 C/G (rs1800796), collagen type I alpha1 A/C (rs1800012), and osteocalcin C/T (rs1800247) genotyping were performed in all participants. Early crestal bone loss measured around dental implants was used to group participants into clinically significant bone loss (BL)>0.5 mm and clinically nonsignificant bone loss (NBL)≤0.5 mm. Early crestal bone loss was calculated as the mean of the difference of bone levels at the baseline and bone levels after 6 months as measured with cone beam computed tomography scans. The obtained data for basic characteristics, early crestal bone loss, and genotyping were tabulated and compared by using a statistical software program (α=.05). RESULTS: AA genotype and the A allele frequency of interleukin-1B-511 and GG genotype and the G allele frequency of interleukin-6-572 were significantly higher in BL than in NBL (P<.05). Multiple logistic analysis suggested that interleukin-1B-511 AA/GG+AG and interleukin-6-572 GG/CC+CG genotype expression were significantly associated with early crestal bone loss (AA/GG+AG; P=.014, GG/CC+CG; P=.047) around dental implants. Other risk factors were not significantly different (P>.05). CONCLUSIONS: Of the genes studied, individuals with interleukin-1B-511 AA (rs16944) or interleukin-6-572 GG (rs1800796) genotype had higher susceptibility to early crestal bone loss around dental implants.

The Effects of Race/Ethnicity, Age, and Area Deprivation Index (ADI) on COVID-19 Disease Early Dynamics: Washington, D.C. Case Study.

The COVID-19 pandemic and its associated mitigation strategies have significant psychosocial, behavioral, socioeconomic, and health impacts, particularly in vulnerable US populations. Different factors have been identified as influencers of the transmission rate; however, the effects of area deprivation index (as a measure of social determinants of health, SDoH) as a factor on COVID-19 disease early dynamics have not been established. We determined the effects of area deprivation index (ADI) and demographic factors on COVID-19 outcomes in Washington, D.C. This retrospective study used publicly available data on COVID-19 cases and mortality of Washington, D.C., during March 31st-July 4th, 2020. The main predictors included area deprivation index (ADI), age, and race/ethnicity. The ADI of each census block groups in D.C. (n=433) were obtained from Neighborhood Atlas map. Using a machine learning-based algorithm, the outcome variables were partitioned into time intervals: time duration (Pi, days), rate of change coefficient (Ei), and time segment load (Pi×Ei) for transmission rate and mortality. Correlation analysis and multiple linear regression models were used to determine associations between predictors and outcome variables. COVID-19 early transmission rate (E1) was highly correlated with ADI (SDoH; r= 0.88, p=0.0044) of the Washington, D.C. community. We also found positive association between ADI, age (0-17 years, r=0.91, p=0.0019), and race (African American/Black, r=0.86; p=0.0068) and COVID-19 outcomes. There was high variability in early transmission across the geographic regions (i.e., wards) of Washington, D.C., and this variability was driven by race/ethnic composition and ADI. Understanding the association of COVID-19 disease early transmission and mortality dynamics and key socio-demographic risk factors such as age, race, and ADI, as a measure of social determinants, will contribute to health equity/equality and distribution of economic resources/assistance and is essential for future predictive modeling of the COVID-19 pandemic to limit morbidity and mortality.

Survey of Supervised Learning for Medical Image Processing.

Medical image interpretation is an essential task for the correct diagnosis of many diseases. Pathologists, radiologists, physicians, and researchers rely heavily on medical images to perform diagnoses and develop new treatments. However, manual medical image analysis is tedious and time consuming, making it necessary to identify accurate automated methods. Deep learning-especially supervised deep learning-shows impressive performance in the classification, detection, and segmentation of medical images and has proven comparable in ability to humans. This survey aims to help researchers and practitioners of medical image analysis understand the key concepts and algorithms of supervised learning techniques. Specifically, this survey explains the performance metrics of supervised learning methods; summarizes the available medical datasets; studies the state-of-the-art supervised learning architectures for medical imaging processing, including convolutional neural networks (CNNs) and their corresponding algorithms, region-based CNNs and their variants, fully convolutional networks (FCN) and U-Net architecture; and discusses the trends and challenges in the application of supervised learning methods to medical image analysis. Supervised learning requires large labeled datasets to learn and achieve good performance, and data augmentation, transfer learning, and dropout techniques have widely been employed in medical image processing to overcome the lack of such datasets.

Clinical outcomes of flap versus flapless immediately loaded single dental implants in the mandibular posterior region: One-year follow-up results from a randomized controlled trial.

STATEMENT OF PROBLEM: Flapless implant placement with immediate functional loading has been reported in anterior locations. However, data on posterior locations are lacking. PURPOSE: The purpose of this randomized controlled trial was to determine and compare clinical outcomes of flap versus flapless surgically placed single posterior mandibular dental implants subjected to immediate functional loading. MATERIAL AND METHODS: Participants with missing mandibular first molar teeth were recruited and randomized into 2 groups (n=51): flapped and flapless. Dental implants were surgically placed and loaded immediately with interim restorations following implant protective occlusion. Outcome measures were implant failure, crestal bone loss, and periodontal parameters: modified plaque index, modified sulcus bleeding index, and pocket depths. Outcome data were recorded at baseline, 6-month, and 12-month follow-up visits. Cone beam computed tomography scans were used to calculate crestal bone loss, and periodontal outcomes were recorded by using a resin covered periodontal probe (α=.05). RESULTS: After 12 months, similar implant failure rates (P>.05) were found between the groups. Crestal bone loss in the flapped group was statistically higher than in the flapless group at 6 months (0.83 ±0.21 mm versus 0.75 ±0.23 mm) and at 12 months (1.04 ±0.27 mm versus 0.90 ±0.24 mm) from the baseline. The modified plaque index, modified sulcus bleeding index, and peri-implant probing depths (PDs) in both groups increased from the baseline to 6-month follow-ups (Baseline modified plaque index: 0.82 ±0.54 versus 0.79 ±0.21; Baseline modified sulcus bleeding index: 0.74 ±0.21 versus 0.70 ±0.43; Baseline PD: 1.25 ±0.37 mm versus 1.20 ±0.22 mm; 6 months modified plaque index: 1.54 ±0.70 versus 1.21 ±0.45; 6 months modified sulcus bleeding index: 1.93 ±0.54 versus 1.51 ±0.61; 6 months PD: 3.20 ±0.73 mm versus 2.80 ±0.43 mm). At 12-month follow-ups after repeated oral hygiene reinforcements, periodontal parameters had improved (decreased) significantly. CONCLUSIONS: Flapless implant insertion with immediate functional loading could be considered as an appropriate treatment option for providing functional restorations on the day of implant placement with minimal surgical intervention, reducing crestal bone loss, and periodontal complications.

Translation and Validation of the Malay Version of Oral Health Impact Profile for Temporomandibular Disorders

ABSTRACT@#Most prior oral health-related quality of life (OHRQoL) research concerning temporomandibular disorders (TMDs) had utilised generic OHRQoL measures. This study aimed to translate and validate the Malay version of Oral Health Impact Profile for TMDs (OHIP-TMDs), a TMDs-specific OHRQoL tool, for use in Malay literate populations. The translation and cross-cultural adaptation of the OHIP-TMDs into the Malay language were implemented according to the international guidelines. A convenience sample of 243 subjects completed the Malay OHIP-TMDs (OHIP-TMDs-M) as well as the Malay Short Oral Health Impact Profile (S-OHIP-M), Global Oral Health ratings (GOH-M) and Fonseca Anamnestic Index (FAI-M). The OHIP-TMDs-M was re-administered to a subset of 40 subjects after two weeks for test-retest reliability. Concurrent, convergent and discriminative validity were assessed using Spearman’s rank correlation, Kruskal Wallis and Mann-Whitney U tests with significance level set at p < 0.05. The OHIP-TMDs-M was found to have excellent internal consistency (Cronbach’s alpha = 0.98) and test-retest reliability (intraclass correlation coefficient = 0.99, p < 0.001). A strong and positive correlation with S-OHIP-M (rs = 0.74) was observed, and OHIP-TMDs-M scores differed significantly between subjects with disparate GOH-M ratings (p < 0.001). Furthermore, the OHIP-TMDs-M was able to discriminate between subjects with and without TMDs. The OHIP-TMDs-M was found to have excellent reliability and good validity. It is a promising tool for assessing TMDs-specific OHRQoL in Malay literate populations.

Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning.

PURPOSE: It has been over a year since the first known case of coronavirus disease (COVID-19) emerged, yet the pandemic is far from over. To date, the coronavirus pandemic has infected over eighty million people and has killed more than 1.78 million worldwide. This study aims to explore "how useful is Reddit social media platform to surveil COVID-19 pandemic?" and "how do people's concerns/behaviors change over the course of COVID-19 pandemic in North Carolina?". The purpose of this study was to compare people's thoughts, behavior changes, discussion topics, and the number of confirmed cases and deaths by applying natural language processing (NLP) to COVID-19 related data. METHODS: In this study, we collected COVID-19 related data from 18 subreddits of North Carolina from March to August 2020. Next, we applied methods from natural language processing and machine learning to analyze collected Reddit posts using feature engineering, topic modeling, custom named-entity recognition (NER), and BERT-based (Bidirectional Encoder Representations from Transformers) sentence clustering. Using these methods, we were able to glean people's responses and their concerns about COVID-19 pandemic in North Carolina. RESULTS: We observed a positive change in attitudes towards masks for residents in North Carolina. The high-frequency words in all subreddit corpora for each of the COVID-19 mitigation strategy categories are: Distancing (DIST)-"social distance/distancing", "lockdown", and "work from home"; Disinfection (DIT)-"(hand) sanitizer/soap", "hygiene", and "wipe"; Personal Protective Equipment (PPE)-"mask/facemask(s)/face shield", "n95(s)/kn95", and "cloth/gown"; Symptoms (SYM)-"death", "flu/influenza", and "cough/coughed"; Testing (TEST)-"cases", "(antibody) test", and "test results (positive/negative)". CONCLUSION: The findings in our study show that the use of Reddit data to monitor COVID-19 pandemic in North Carolina (NC) was effective. The study shows the utility of NLP methods (e.g. cosine similarity, Latent Dirichlet Allocation (LDA) topic modeling, custom NER and BERT-based sentence clustering) in discovering the change of the public's concerns/behaviors over the course of COVID-19 pandemic in NC using Reddit data. Moreover, the results show that social media data can be utilized to surveil the epidemic situation in a specific community.

Development of hydrophobic paper substrates using silane and sol-gel based processes and deriving the best coating technique using machine learning strategies.

Low energy surface coatings have found wide range of applications for generating hydrophobic and superhydrophobic surfaces. Most of the studies have been related to use of a single coating material over a single substrate or using a single technique. The degree of hydrophobicity is highly dependent on fabrication processes as well as materials being coated and as such warrants a high-level study using experimental optimization leading to the evaluation of the parametric behavior of coatings and their application techniques. Also, a single platform or system which can predict the required set of parameters for generating hydrophobic surface of required nature for given substrate is of requirement. This work applies the powerful machine learning algorithms (Levenberg Marquardt using Gauss Newton and Gradient methods) to evaluate the various processes affecting the anti-wetting behavior of coated printable paper substrates with the capability to predict the most optimized method of coating and materials that may lead to a desirable surface contact angle. The major application techniques used for this study pertain to dip coating, spray coating, spin coating and inkjet printing and silane and sol-gel base coating materials.

Data-Driven Forecasting of Agitation for Persons with Dementia: A Deep Learning-Based Approach.

The World Health Organization estimates that approximately 10 million people are newly diagnosed with dementia each year and a global prevalence of nearly 50 million persons with dementia (PwD). The vast majority of PwD living at home receive the majority of their care from informal familial caregivers. The quality of life (QOL) of familial caregivers may be significantly impacted by their caregiving responsibilities and resultant caregiver burden. A major contributor to caregiver burden is the random occurrence of agitation in PwD and familial caregivers' lack of preparedness to manage these episodes. Caregiver burden may be reduced if it is possible to forecast impending agitation episodes. In this study, we leverage data-driven deep learning models to predict agitation episodes in PwD. We used Long Short-Term Memory (LSTM), a deep learning class of algorithms, to forecast agitations up to 30 min before actual agitation events. In particular, we managed the missing data by estimating the missing values and compensated for the class imbalance challenge by down-sampling the majority class. The simulations were based on real-world data from Alzheimer's disease (AD) caregivers and PwD dyads home environments, including ambient noise level, illumination, room temperature, atmospheric pressure (Pa), and relative humidity. Our results show the efficacy of data-driven deep learning models in predicting agitation episodes in community-dwelling AD dyads with accuracy of 98.6% and recall (sensitivity) of 84.8%.

Association of interleukin-1 gene polymorphism and early crestal bone loss around submerged dental implants: A systematic review and meta-analysis.

Aim: Early crestal bone loss (ECBL) has been observed regardless of the absence of possible etiologic factors for bone loss during the healing phase and before the second-stage implant surgery. The purpose of this systematic review and meta-analysis was to correlate the possible association of interleukin-1 (IL-1) gene polymorphisms and ECBL (bone loss before the second-stage surgery) around dental implants. Settings and Design: Systematic review and meta-analysis following PRISMA guidelines. Materials and Methods: Considering the inclusion criteria, an electronic search by using specific keywords of three databases PubMed [("Dental" OR "oral") AND ("Implants*") AND ("gene polymorphism" OR "genotype" AND ("IL-1" OR "interleukins")], Cochrane library [implant AND (biomarker or cytokine), interleukin-1 or IL-1 AND implants], and EMBASE [("gene polymorphisms"/de OR "interleukins"/cytokine exp OR "biomarker":ti,ab,kw) AND ("dental implantation"/de OR "oral implant")] and manual search from 1995 till March 2020 was made by 2 independently calibrated reviewers. ACROBAT-NRSI, Version 1.0.0 and Review Manager, Version 5.3, computer software were used for the risk of bias assessment and to conduct the meta-analysis respectively. Statistical Analysis Used: Cochran's Q test and I2 statistics. Results: Of 38 articles which were found eligible for full-text screening, two articles fulfilled the inclusion criteria and hence were included in the meta-analysis. The I2 statistic and Q-test values of the included studies revealed acceptable homogeneity for studied three IL-1 gene polymorphisms (IL-1A-889: I2 = 0%, IL-1B - 511: I2 = 0%, IL-1B+3954: I2 = 24%). Forest plot of association between IL-1B-511 gene and ECBL revealed a significant association between 2/2 genotype of IL-1B-511 gene and an increased risk of ECBL (OR = 0.23, 95% CI = 0.09-0.58, Pheterogeneity = 0.68, I2 = 0%, and P = 0.002). Results of the IL-1A-889 and IL-1B+3954 gene revealed no significant associations between any genotype of these genes with risk of ECBL. Conclusions: There is an evidence of the association of IL-1B-511 (2/2) genetic polymorphisms and increased ECBL in the individuals of Asian ethnicity (OR = 0.23, P = 0.002).

Increases in Naloxone Administrations by Emergency Medical Services Providers During the COVID-19 Pandemic: Retrospective Time Series Study.

BACKGROUND: The opioid crisis in the United States may be exacerbated by the COVID-19 pandemic. Increases in opioid use, emergency medical services (EMS) runs for opioid-related overdoses, and opioid overdose deaths have been reported. No study has examined changes in multiple naloxone administrations, an indicator of overdose severity, during the COVID-19 pandemic. OBJECTIVE: This study examines changes in the occurrence of naloxone administrations and multiple naloxone administrations during EMS runs for opioid-related overdoses during the COVID-19 pandemic in Guilford County, North Carolina (NC). METHODS: Using a period-over-period approach, we compared the occurrence of opioid-related EMS runs, naloxone administrations, and multiple naloxone administrations during the 29-week period before (September 1, 2019, to March 9, 2020) and after NC's COVID-19 state of emergency declaration (ie, the COVID-19 period of March 10 to September 30, 2020). Furthermore, historical data were used to generate a quasi-control distribution of period-over-period changes to compare the occurrence of each outcome during the COVID-19 period to each 29-week period back to January 1, 2014. RESULTS: All outcomes increased during the COVID-19 period. Compared to the previous 29 weeks, the COVID-19 period experienced increases in the weekly mean number of opioid-related EMS runs (25.6, SD 5.6 vs 18.6, SD 6.6; P<.001), naloxone administrations (22.3, SD 6.2 vs 14.1, SD 6.0; P<.001), and multiple naloxone administrations (5.0, SD 1.9 vs 2.7, SD 1.9; P<.001), corresponding to proportional increases of 37.4%, 57.8%, and 84.8%, respectively. Additionally, the increases during the COVID-19 period were greater than 91% of all historical 29-week periods analyzed. CONCLUSIONS: The occurrence of EMS runs for opioid-related overdoses, naloxone administrations, and multiple naloxone administrations during EMS runs increased during the COVID-19 pandemic in Guilford County, NC. For a host of reasons that need to be explored, the COVID-19 pandemic appears to have exacerbated the opioid crisis.

Translation and Adaptation of the Diagnostic Criteria for Temporomandibular Disorders into the Malay Language: Psychometric Evaluation of Contents.

AIMS: To develop the Malay DC/TMD through a formal cross-cultural adaptation (CCA) process for use in non-English speaking populations and to determine the reliability and validity of the Malay Graded Chronic Pain Scale (M-GCPS) and Malay Jaw Functional Limitation Scale (M-JFLS). METHODS: The English DC/TMD was translated into the Malay language using the forward-backward translation procedures specified in the INfORM guideline. The initial Malay instrument was pre-tested, and any discrepancies were identified and reconciled before producing the final Malay DC/TMD. Psychometric properties of the M-GCPS and M-JFLS were evaluated using a convenience sample of 252 subjects and were assessed using internal consistency and test-retest reliability, as well as face, content, concurrent, and construct validity testing. Internal consistency was assessed using Cronbach's alpha, while test-retest reliability was examined using intraclass correlation coefficient (ICC). Concurrent and construct validity of both domains were performed using Spearman ρ correlation test. In addition, construct and discriminant validity were appraised using Kruskal-Wallis and Mann-Whitney U tests, respectively. RESULTS: Cronbach's alpha values for the M-GCPS and M-JFLS were 0.95 and 0.97, respectively. The ICC was 0.98 for the M-GCPS and 0.99 for M-JFLS. The majority of the tested associations for both domains were found to be statistically significant, with good positive correlations. CONCLUSION: The M-GCPS and M-JFLS were found to be reproducible and valid. The Malay DC/TMD shows potential for use among Malay-speaking adults.

Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study.

BACKGROUND: Over the last two decades, deaths associated with opioids have escalated in number and geographic spread, impacting more and more individuals, families, and communities. Reflecting on the shifting nature of the opioid overdose crisis, Dasgupta, Beletsky, and Ciccarone offer a triphasic framework to explain that opioid overdose deaths (OODs) shifted from prescription opioids for pain (beginning in 2000), to heroin (2010 to 2015), and then to synthetic opioids (beginning in 2013). Given the rapidly shifting nature of OODs, timelier surveillance data are critical to inform strategies that combat the opioid crisis. Using easily accessible and near real-time social media data to improve public health surveillance efforts related to the opioid crisis is a promising area of research. OBJECTIVE: This study explored the potential of using Twitter data to monitor the opioid epidemic. Specifically, this study investigated the extent to which the content of opioid-related tweets corresponds with the triphasic nature of the opioid crisis and correlates with OODs in North Carolina between 2009 and 2017. METHODS: Opioid-related Twitter posts were obtained using Crimson Hexagon, and were classified as relating to prescription opioids, heroin, and synthetic opioids using natural language processing. This process resulted in a corpus of 100,777 posts consisting of tweets, retweets, mentions, and replies. Using a random sample of 10,000 posts from the corpus, we identified opioid-related terms by analyzing word frequency for each year. OODs were obtained from the Multiple Cause of Death database from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER). Least squares regression and Granger tests compared patterns of opioid-related posts with OODs. RESULTS: The pattern of tweets related to prescription opioids, heroin, and synthetic opioids resembled the triphasic nature of OODs. For prescription opioids, tweet counts and OODs were statistically unrelated. Tweets mentioning heroin and synthetic opioids were significantly associated with heroin OODs and synthetic OODs in the same year (P=.01 and P<.001, respectively), as well as in the following year (P=.03 and P=.01, respectively). Moreover, heroin tweets in a given year predicted heroin deaths better than lagged heroin OODs alone (P=.03). CONCLUSIONS: Findings support using Twitter data as a timely indicator of opioid overdose mortality, especially for heroin.

Prevalence of maxillectomy defects among patients visiting in an institutionalized hospital setting: A prospective, single-institute study.

INTRODUCTION: The rehabilitation of a patient undergone maxillectomy requires a prosthesis that provides with the optimum appearance and functional results. Scarce literature has been published regarding the prevalence of maxillary defects related to palatal obturator prosthesis. This study evaluates the incidence of the maxillectomy defects among different age groups, gender, side involved, and etiology. MATERIALS AND METHODS: This is a prospective study of maxillectomy defects cases which reported and were treated in the department over a period of 2 years (2015-2017). Information regarding general identification, gender, and age at which the patient was operated for surgical resection of the maxilla or diagnosis of the tumor, affected side and etiology, and the time lag between surgical resection and rehabilitation was recorded from the clinical records of the patients. RESULTS: A total of 30 patients reported to the department in the 2 years. However, the detailed data were available for only 22 patients, and these patients were treated in the department. Information regarding general identification, gender, and age at which the patient was operated for surgical resection of maxilla or diagnosis of the tumor, affected side and etiology, and the time lag between surgical resection and rehabilitation was recorded from the clinical records of the patients. CONCLUSION: The finding of the study revealed a predominance of the males being more affected, with the predominance of the left side involvement over the right side, with most frequently involved the age group of 21-40 years, and the etiology revealed the predominance of carcinoma of the maxilla for its resection.

Pilomatrixoma of the Cheek – A Case Report

@#Pilomatrixoma is an uncommon benign tumour arising from the matrix and inner sheath of a normal hair follicle as well as hair cortex. It is usually presented as a superficial, solitary, firm mass which is asymptomatic and slowly growing. It accounts for about 0.2% of all routine skin specimens and may poses a diagnostic challenge as it may resemble other common benign lesions found in the head and neck region. We report a case of a 33-year old men presented to us with a pilomatrixoma of the right cheek, surgical management and histological findings.

Crestal Bone Loss under Delayed Loading of Full Thickness Versus Flapless Surgically Placed Dental Implants in Controlled Type 2 Diabetic Patients: A Parallel Group Randomized Clinical Trial.

PURPOSE: To compare crestal bone loss around dental implants using a delayed loading protocol. Bone loss was compared in patients following conventional full thickness flap and flapless surgery in controlled type 2 diabetic patients. MATERIALS AND METHODS: Eighty-eight type 2 diabetic patients satisfying predetermined inclusion and exclusion criteria were selected for this single center, parallel group study after obtaining institutional review board approval and informed consent. These patients were randomly divided into two groups. Group I consisted of patients undergoing full thickness flap surgery for implant placement, and group II consisted of patients undergoing flapless surgery for implant placement. The mean age, duration of diabetes, glycosylated hemoglobin levels, and male-to-female ratio in both groups were matched and compared statistically. Dental implants were placed followed by delayed loading (4 months) in both groups. Crestal bone loss was assessed with intraoral periapical radiographs with the help of computer software (DBSWIN viewer). Actual implant length acted as the radiographic index, and implant-abutment junctions were used as a reference point for all measurements. Mesial and distal bone levels at baseline, 6, and 12 months post implant placement of the two groups were determined. Mesial and distal crestal bone loss from baseline to 6 and 12 months were calculated and compared with Tukey test using SPSS v15.0 statistical analysis software. RESULTS: Tukey test revealed similar (not statistically different) mean mesial crestal bone loss between the two groups after 6 months (0.47 ± 0.08 mm vs. 0.36 ± 0.13 mm, p = 0.576) and after 12 months (1.56 ± 0.25 mm vs. 1.50 ± 0.22 mm, p = 0.891). The mean distal bone loss resulting between the two groups was not statistically different at 6 months (0.44 ± 0.08 mm vs. 0.35 ± 0.12 mm, p = 0.687) and at 12 months (1.57 ± 0.23 mm vs. 1.61 ± 0.22 mm, p = 0.947). CONCLUSIONS: The results of this clinical randomized control trial indicated that in controlled type 2 diabetic patients, levels of crestal bone loss around dental implants placed following conventional full thickness flap surgery was comparable to crestal bone loss around dental implants placed with the flapless surgical technique. More clinical studies are required regarding controlled type 2 diabetics with larger sample sizes, for long time periods to obtain more predictable results.

Flapless vs flapped implant insertion in patients with controlled type 2 diabetes subjected to delayed loading: 1-year follow-up results from a randomised controlled trial.

PURPOSE: To compare the outcome of dental implants placed following full-thickness flap surgery with flapless surgery in controlled type 2 diabetic patients. MATERIALS AND METHODS: A total of 92 controlled type 2 diabetic patients, who needed missing mandibular first molars to be replaced by implants, were selected for a single-centre, parallel group, double-blinded randomised controlled trial. Patients were randomly allocated into two groups: flap (46 patients) vs flapless (46 patients) implant placement. Implants were loaded with metal-ceramic crowns, 4 months after placement in both groups. OUTCOME MEASURES: Implant and crown success, complications, post-operative pain and swelling, plaque index, sulcular bleeding index, pocket depth and HbA1c level. Follow up examinations were made after 24 h, and on the third and seventh days for soft tissue healing, pain and swelling evaluation; then at 6 months and 12 months (after loading) for dental plaque, sulcular bleeding, pocket depth, and HbA1c level evaluation. RESULTS: After 16 months of implant placement, no dropouts occurred. Five implants failed, two in the flap group and three in the flapless group (4.34% vs 6.52%, McNemar test P = 1, difference = 0.4457, 95% CI of difference = 4.554 to 47.234). Seven prosthesis failures occurred, three in the flap group and four in the flapless group (McNemar test P = 1; difference = 0.4239; 95% CI of difference = 29.95 to 3.86). Two patients in each group were affected by complications. There were statistically insignificant differences in the incidence of complications between the groups (McNemar test P = 1; difference = 0.457; 95% CI of difference = 90.75 to 5.33). After 24 h, the flapped group patients showed significantly greater pain compared with the flapless group (24 h: P = 0.017, difference = 0.37 and 95% CI = 0.673 to -0.067). After the third and seventh postoperative days, the mean pain level in both groups decreased linearly after the treatments (third day: P = 0.183, difference = 0.19 and 95% CI = -0.472 to 0.092; seventh day: P = 0.225, difference = 0.09 and 95% CI = -0.237 to 0.056). The frequency of post-operative swelling "some + a lot" at the third day was significantly higher in the full thickness flap group compared with the flapless group (P = 0.002, difference = 0.1835 and 95% CI = -0.0409 to 0.4079). Most of the cases in either of the study groups demonstrated no swelling (P =1.00, difference = 0.00 and 95% CI = -0.3034 to 0.3034) on the seventh post-operative day. The mean plaque index (6 months: 1.00 ± 0.47 vs 0.83 ± 0.79, P = 0.230, difference = 0.17 and 95% CI = -0.450 to 0.110 and 12 months: 1.30 ± 0.67 vs 1.04 ± 0.86, P = 0.123, difference = 0.26 and 95% CI = 0.593 to 0.073), mean sulcular bleeding index (6 months: 1.40 ± 0.52 vs 1.04 ± 0.83, P = 0.018, difference = 0.36 and 95% CI = 0.658 to 0.062 and 12 months: 1.90 ± 0.48 vs 1.17 ± 0.57, P = < 0.001, difference = -0.73 and 95% CI = -0.958 to -0.503) and pocket depth (6 months: 1.30 ± 0.26 vs 1.17 ± 0.25, P = 0.021, difference = -0.13 and 95% CI = - 0.240 to- 0.012 and 12 months: 1.95 ± 0.28 vs 1.56 ± 0.17, P = < 0.001, difference = -0.39 and 95% CI = -0.490 to -0.290) in both groups increased after the treatment and the increase was evident higher in full thickness flap group than flapless group. CONCLUSIONS: On the basis of these results, it was concluded that flapless surgical technique could be considered for dental implant placement in type 2 diabetic patients to reduce post-operative pain and swelling.

Prevalence of ocular defects among patients visiting in an institutionalized hospital setting: A cross-sectional study.

PURPOSE: The purpose of this study was to analyze the prevalence of ocular defect among different age groups, gender, side involved, and etiology. MATERIALS AND METHODS: A retrospective study was conducted among referred ocular defect patients in a dental college in southern part of India over a 5 years period (2008-2012). Information regarding general identification, gender, age, affected side, and etiology was collected. The collected data were analyzed and grouped according to different age groups, gender, side involved, and etiology. RESULTS: The ocular defects were more frequently observed in the young male population (66%). Trauma (46%) and pathogenic (44%) causes were the main reasons over nonspecific (8%) and congenital (2%) reasons. CONCLUSION: High prevalence of injuries and infections in young adults (mostly males) predominantly causing ocular bulb loss.