Evaluating Soft Tissue Healing after Implant Placement Using Two Different Mouthwashes (Myrrh and Chlorhexidine Gluconate): A Randomized Control Trial.

The use of mouthwash is often recommended by dental experts for dental healing. A double-blind, randomized clinical study was conducted to evaluate the efficacy of two mouthwashes (myrrh and chlorhexidine gluconate) on postoperative pain and their effects on tissues after dental implant placement in 35 patients (18 in the myrrh group and 17 in the chlorhexidine gluconate group). Soft tissue healing was evaluated in terms of wound closure, soft tissue swelling, and the color of the gingiva at 1 week postoperative. To decrease the chances for error, only the participants who did not show preoperative symptoms of infection and those who committed to practicing better oral hygiene were included in the study. The samples were evaluated for the infiltration of inflammatory cells (using inflammatory extent and inflammatory cellularity grades), maturation of collagen (osteoblast activity), and arrangement of cells (for detecting the remodeling phase). A questionnaire pertaining to mouthwash satisfaction, the duration of postoperative pain after the procedure, the time of stoppage of bleeding at the surgical site, and any sensitivity at the surgical site was given to the patients. The Chi-square test and Mann-Whitney U-test were used to analyze the data. The difference in postoperative surgical swelling, pain, bleeding, and redness in the patients was not statistically significant between the myrrh and chlorhexidine gluconate mouthwash groups. However, in the acute phase, the myrrh mouthwash showed a positive impact on the process of wound healing after implant placement. The small sample size and inability to compare wound healing in different anatomical areas of the oral cavity were the study limitations.

Epidemiological and Clinical Characteristics of Deceased COVID-19 Patients.

OBJECTIVE: Fatalities due to coronavirus disease 2019 (COVID-19) continue to increase, and information on the epidemiological and clinical characteristics of deceased patients who were hospitalized with COVID-19 is limited in the Arab region. The current study aimed to address this gap. METHODS: Three hundred and four Saudi patients in Jazan Region, Saudi Arabia, who died after being hospitalized with COVID-19 between July 1, 2020, and December 31, 2020, were analyzed in this retrospective cohort study. RESULTS: A greater proportion of male patients (59%), compared to female patients (41%), died due to COVID-19. Just over half (55%) of the deaths due to COVID-19 affected patients aged ≥65 years. More than two-thirds of the deceased COVID-19 patients had diabetes (70%) and hypertension (69%); other comorbidities were obesity (30%), heart disease (30%), and chronic kidney disease (14%). Dyspnea (91%), cough (80%), and fever (70%) were the most frequently reported clinical symptoms. Eighty-five per cent of COVID-19 deaths occurred in patients admitted to the intensive care unit (ICU), and 90% of the patients required mechanical ventilation. Typically, lymphopenia, and neutrophilia were observed on admission and 24 hours prior to death. Creatinine and serum ferritin levels and erythrocyte sedimentation rate and D-dimer plasma levels increased significantly following infection with COVID-19. Lung infiltrates and pulmonary opacity (83%) were the most common findings on chest X-ray. Respiratory failure (70%) and acute respiratory distress syndrome (52%) were the leading complications to death. Logistic and Cox regression revealed that a higher age, smoking, high creatinine and aspartate transaminase levels, and respiratory failure were significantly associated with the risk of mortality during the early stay in hospitals. CONCLUSION: The proportion of comorbidities was high in deceased patients who were hospitalized with COVID-19 in Jazan region, Saudi Arabia. A higher age, smoking, and respiratory failure were significant predictors of mortality during the early stay in hospitals.

Third molar impaction in the Jazan Region: Evaluation of the prevalence and clinical presentation.

OBJECTIVE: To provide information on the prevalence and clinical features of impacted third molar teeth in the South-Western region of Saudi Arabia. MATERIAL AND METHODS: In this cross-sectional study, 1200 panoramic radiographs (50% males and 50% females) were retrieved from the electronic clinical records of patients at the College of Dentistry, Jazan University from December 2014 to December 2016, and impacted third molars were evaluated. Data on clinical and radiographic presentation were analyzed. RESULTS: Overall, there were 291 (24.3%) patients with impacted third molars among 1200 radiographs. The distribution of impacted third molars according to the number of impacted teeth was as follows: one impaction in 121 (41.6%); two impactions in 90 (30.9%); three impactions in 42 (14.4%); and four impactions in 38 (13.1%) patients. There was a high prevalence of all impaction types among females (54.5%). Maxillary vertical angulation was most common (50%) followed by mandibular mesioangular angulation (48.3%). The depth of impaction in maxillary teeth was higher than in mandibular teeth. Pain was uncommon (4.5% of patients). DISCUSSION: Clinically, vertical impaction in the maxilla was present in 50% of patients because of limited posterior space, and mesioangular angulation in the mandible was present in 48% of patients because of inadequate space between the ramus and the second molar. These findings are similar to other reports. Vertical impaction of the maxillary wisdom tooth is mostly related to the discrepancy between the mesiodistal size of the tooth crown and the limited retromolar space. CONCLUSION: Noiseless presentation of an impacted third molar requires raising the population's awareness about the need for diagnosis and treatment of the problem to avoid any further complications. The study can be to guide surgical procedures. This study documented the prevalence, pattern, and clinical features of impacted third molars in South Western region of Saudi Arabia.

Co-morbidity and blood group type risk in coronavirus disease 2019 patients: A case-control study.

OBJECTIVE: The objective of the study was to assess mortality risk associated with co-morbidities and blood group type in coronavirus disease 2019 (COVID-19) patients in Jazan, Saudi Arabia. METHODS: This case-control study enrolled 323 Saudi adults with COVID-19, confirmed by real-time reverse transcription-polymerase chain reaction. The participants were selected randomly between August 31, 2020, and July 1, 2020, from the Health Electronic Surveillance Network system, which contains the primary data on COVID-19 infections in Jazan, Saudi Arabia. The sample included 108 patients who died due to COVID-19 disease and 215 controls who recovered from it (1:2 ratio). The chi-square test, independent samples t-test, and logistic regression were used to perform the statistical analysis. RESULTS: Mortality was higher in older age patients with COVID-19 (mean = 65.4 years, standard deviation [SD] = 15.6) compared to recovered patients (mean = 39.5 years, SD = 14.8) (p<0.001) with a moderate effect size (eta squared = 0.06). Diabetes mellitus (odds ratio [OR] = 9.4), hypertension (OR = 8.6), cardiovascular disease (OR = 7.4), chronic kidney disease (OR = 3.3), and obesity (OR = 2.0) were significantly associated with death due to COVID-19. Using logistic regression analysis, older age and diabetes mellitus were the primary independent predictors of COVID-19 mortality. However, there was no significant association between a specific ABO blood group and mortality risk (P = 0.07). CONCLUSION: Older age and the presence of co-morbidities, especially diabetes mellitus, increased the risk of death in patients with COVID-19. Establishing the causality of death in patients with COVID-19 should be a key aim of future studies.

Application of artificial intelligence and machine learning for prediction of oral cancer risk.

BACKGROUND: Oral cancer requires early diagnosis and treatment to increase the chances of survival. This study aimed to develop an artificial neural network model that helps to predict the individuals' risk of developing oral cancer based on data on risk factors, systematic medical condition, and clinic-pathological features. METHODS: A popular data mining algorithm artificial neural network was used for developing the artificial intelligence-based prediction model. A total of 29 variables that were associated with the patients were used for developing the model. The dataset was randomly split into the training dataset 54 (75%) cases and testing dataset 19 (25%) cases. All records and observations were reviewed by Board-certified oral pathologist. RESULTS: A total of 73 patients met the eligibility criteria. Twenty-two (30.13%) were benign cases, and 51 (69.86%) were malignant cases. Thirty-seven were female, and 36 were male, with a mean age of 63.09 years. Our analysis displayed that the average sensitivity and specificity of ANN for oral cancer prediction based on the 10-fold cross-validation analysis was 85.71% (95% confidence interval [CI], 57.19-98.22) and 60.00% (95% CI, 14.66-94.73), respectively. The accuracy of ANN for oral cancer prediction was 78.95% (95% CI, 54.43-931.95). CONCLUSION: Our results suggest that this machine-learning technique has the potential to help in oral cancer screening and diagnosis based on the datasets. The results demonstrate that the artificial neural network could perform well in estimating the probability of malignancy and improve the positive predictive value that could help to predict the individuals' risk of developing OC based on knowledge of their risk factors, systemic medical conditions, and clinic-pathological data.

Patterns and Etiology of Maxillofacial Fractures: A 5-year Retrospective Study.

AIM: The aim of the present study was to assess the prevalence, common age, gender, causes, types, treatment modality, and complication of the maxillofacial fractures for the patients admitted to King Fahad Central Hospital in Gizan City, Saudi Arabia. MATERIALS AND METHODS: The medical records of all cases admitted to the Department of Oral and Maxillofacial Surgery (OMFS) ward at King Fahad Central Hospital (KFCH) in Gizan City, Saudi Arabia, were reviewed for presence of maxillofacial fractures. The statistical analysis was done using IBM SPSS version 20. RESULTS: A total of 166 patients with maxillofacial fractures were included in this study. There were 140 males and 26 females. The most affected age-group was 21-30 with a mean age of (30.69 ± 14.65 standard deviation, SD) and the male-female ratio was 5.4:1. Road traffic accidents (RTAs) were found to be the most common cause of maxillofacial fractures (52.4%). The mandibular body was fractured more than any other maxillofacial bones (15.7%) followed by mandibular angle (13.3%) and zygomaticomaxillary complex (ZMC) (12.0%). Nine cases (5.4%) of the associated injuries were diagnosed as head injuries. Open reduction with internal fixation (ORIF) was the most common treatment methods (72.3%) utilized in this study. CONCLUSION: Maxillofacial fractures most commonly affected young individuals in the 21-30-year-old age-group, often as a result of RTA, and body of the mandible was the most frequent site of fracture. CLINICAL SIGNIFICANCE: The prevalence, common age, gender, causes, types, treatment modality, and complication of the maxillofacial fractures for the patients admitted can be assessed from the present study.