Brucellar testicular abscess: The 17th case report and review of literature.

Brucellosis is an endemic zoonotic disease caused by intracellular gram-negative coccobacilli called Brucella. This infectious disease may implicate many farm animals and is transmissible to exposed humans. Brucellosis is potentially life-threatening and may lead to granulomatous multi-organ involvement with tendency to chronicity and recurrence. The treatment of brucellosis requires combined and protracted antimicrobial therapies to eliminate the disease and to avoid its relapse. Genitourinary brucellosis is common among infected humans in endemic areas and is considered the second-most affected focal site, which commonly manifests as epididymo-orchitis. Testicular abscess, however, is an extremely rare complication of brucellosis. To the best of our knowledge, in the literature, there are to date only 16 previously published case reports, including 22 patients of brucellar testicular abscesses, emphasizing the extreme rarity of this condition. Most of these cases harbored small abscesses, which were treated conservatively using antibiotics therapy only, or with added drainage of the abscesses. Larger abscesses were reported to necessitate orchiectomy. In some cases, the abscesses were mimicking tumors, and surgeries for orchiectomy were done accordingly. A summary of the previously reported cases in the literature is presented. Here, we present the 17th case report of a 34-year-old man with a right-side huge multilocular brucellar testicular abscess apparently replacing the entire testicle, who was successfully treated with organ-sparing management by incision-drainage of the large abscess with antibiotics, to eventually preserve his testis. In conclusion, brucellosis should be considered among the differential diagnoses of any testicular swelling, especially in endemic areas. Drainage of brucellar testicular abscess with appropriate medical treatment is feasible and may preserve the testicle, even with large abscess apparently replacing the entire testicle.

Quality Performance Evaluation of the Largest COVID-19-Designated Intensive Care Unit in the Western Region of Saudi Arabia.

Introduction Mortality is generally higher among patients with coronavirus disease 2019 (COVID-19) than non-COVID-19 patients, especially critically ill patients. The Acute Physiology and Chronic Health Evaluation IV (APACHE IV) predicts mortality rate (MR); however, it was not designed for COVID-19 patients. Multiple indicators have been utilized in healthcare to measure the performance of intensive care unit (ICU) departments, including length of stay (LOS) and MR. The 4C mortality score was recently developed using the ISARIC WHO clinical characterization protocol. This study aims to evaluate intensive care unit performance using LOS, MR, and 4C mortality scores at East Arafat Hospital (EAH), Makkah region, which is considered the largest COVID-19-designated intensive care unit in the Western region of Saudi Arabia. Materials and methods A retrospective observational cohort study was conducted on data from patients' records during the COVID-19 pandemic, from March 1, 2020, to October 31, 2021, at EAH, Makkah Health Affairs. Data to calculate LOS, MR, and 4C mortality scores were collected from the eligible patients' files by a trained team. Demographic (age and gender) and clinical data on admission were collected for statistical purposes. Results A total of 1298 patient records were included in the study; 417 (32%) of the patients were female and 872 (68%) were male. The cohort included 399 deaths (total MR=30.7%). Most deaths occurred in the 50-69-year age group, with significantly more deaths among female patients than male patients (p=0.004). A significant association was found between the 4C mortality score and death (p<0.000). Furthermore, the mortality odds ratio (OR) was significant (OR=1.3, 95% CI=1.178-1.447) for each added 4C score. Conclusion Our study metrics regarding LOS were generally higher than most internationally reported values and slightly lower than locally reported values. Our reported MR was comparable with overall published MRs. The ISARIC 4C mortality score was highly compatible with our reported MR between scores 4 and 14; however, the MR was higher for scores 0-3 and lower for scores ≤15. The overall performance of the ICU department was considered generally good. Our findings are helpful for benchmarking and motivating better outcomes.

Matrix Metalloproteinase Activity in Gingival Crevicular Fluid and Periodontal Health Status in Down Syndrome Patients: A Comparative Study.

Introduction Periodontal diseases, caused by gram-negative bacteria, often begin as gingivitis and can progress to periodontitis, characterized by inflammation extending to the periodontal ligament and alveolar bone. Individuals with Down syndrome (DS) commonly exhibit poorer oral hygiene and a higher prevalence of severe chronic periodontitis. This study aimed to identify unregulated risk factors in DS that contribute to increased periodontal breakdown. Materials and methods We conducted a study with 60 age-matched patients, including 20 DS patients from Balavihar Special School and 40 systemically healthy patients with and without periodontitis from Thai Moogambigai Dental College and Hospital. We collected patients' complete case histories and blood samples for evaluating matrix metalloproteinase 8 (MMP8) and matrix metalloproteinase 9 (MMP9) levels. All patients underwent nonsurgical periodontal therapy, and the samples were processed at the Central Research Laboratory at Meenakshi Ammal Dental College and Hospital. We calculated each group's mean and standard deviation and compared them using one-way analysis of variance and Kruskal-Wallis tests, followed by post hoc (Tukey honestly significant difference) multiple group comparisons. Statistical analysis was performed using Statistical Product and Service Solutions (SPSS) Statistics for Windows, Version 17.0. (Chicago: SPSS Inc.). Results The mean value of MMP8 in the DS group with chronic periodontitis was -18.1895, which was statistically significant (P<.001) compared to the mean value of -20.3720 in systemically healthy subjects with chronic periodontitis and -21.7120 in systemically healthy controls. Similarly, the mean value of MMP9 in the DS group with chronic periodontitis was 18.6455, which was statistically significant (P<.001) compared to the mean values of 19.8540 in systemically healthy subjects with chronic periodontitis and 25.2505 in systemically healthy controls. These findings indicate that DS subjects exhibit increased levels of pro-inflammatory cytokines MMP8 and MMP9, serving as markers for identifying periodontal disease. The mean differences in MMP8 and MMP9 in the DS group with chronic periodontitis showed highly statistically significant levels compared to both systemically healthy groups. Conclusion This study aimed to identify unregulated risk factors in DS that contribute to increased periodontal breakdown. Our findings revealed elevated MMP8 and MMP9 in DS patients with periodontitis, indicating an increased risk for early development of destructive forms of periodontal disease in this population. Extensive gingival tissue inflammation, bleeding on probing, increasing probing depths, loss of periodontal attachment, and alveolar bone loss are all common symptoms.

Classification of Biomedical Texts for Cardiovascular Diseases with Deep Neural Network Using a Weighted Feature Representation Method.

This study aims to improve the performance of multiclass classification of biomedical texts for cardiovascular diseases by combining two different feature representation methods, i.e., bag-of-words (BoW) and word embeddings (WE). To hybridize the two feature representations, we investigated a set of possible statistical weighting schemes to combine with each element of WE vectors, which were term frequency (TF), inverse document frequency (IDF) and class probability (CP) methods. Thus, we built a multiclass classification model using a bidirectional long short-term memory (BLSTM) with deep neural networks for all investigated operations of feature vector combinations. We used MIMIC III and the PubMed dataset for the developing language model. To evaluate the performance of our weighted feature representation approaches, we conducted a set of experiments for examining multiclass classification performance with the deep neural network model and other state-of-the-art machine learning (ML) approaches. In all experiments, we used the OHSUMED-400 dataset, which includes PubMed abstracts related with specifically one class over 23 cardiovascular disease categories. Afterwards, we presented the results obtained from experiments and provided a comparison with related research in the literature. The results of the experiment showed that our BLSTM model with the weighting techniques outperformed the baseline and other machine learning approaches in terms of validation accuracy. Finally, our model outperformed the scores of related studies in the literature. This study shows that weighted feature representation improves the performance of the multiclass classification.

Identification of Leukemia Subtypes from Microscopic Images Using Convolutional Neural Network.

Leukemia is a fatal cancer and has two main types: Acute and chronic. Each type has two more subtypes: Lymphoid and myeloid. Hence, in total, there are four subtypes of leukemia. This study proposes a new approach for diagnosis of all subtypes of leukemia from microscopic blood cell images using convolutional neural networks (CNN), which requires a large training data set. Therefore, we also investigated the effects of data augmentation for an increasing number of training samples synthetically. We used two publicly available leukemia data sources: ALL-IDB and ASH Image Bank. Next, we applied seven different image transformation techniques as data augmentation. We designed a CNN architecture capable of recognizing all subtypes of leukemia. Besides, we also explored other well-known machine learning algorithms such as naive Bayes, support vector machine, k-nearest neighbor, and decision tree. To evaluate our approach, we set up a set of experiments and used 5-fold cross-validation. The results we obtained from experiments showed that our CNN model performance has 88.25% and 81.74% accuracy, in leukemia versus healthy and multiclass classification of all subtypes, respectively. Finally, we also showed that the CNN model has a better performance than other wellknown machine learning algorithms.

Immediate Placement of Zirconia Implants in Teeth with Periapical Lesions: A Case Report.

This case report records the replacement of two failed endodontically treated mandibular molars with one piece zirconia implants in a patient with metal hypersensitivity. The two molars were atraumatically extracted and curetted to remove any remnants of a periapical granuloma. Immediate implant placement with primary stability was achieved using one piece WhiteSky® Bredent zirconia implants which were restored after four months with a zirconia crown. One year follow up revealed successful osseointegration with optimal form and function.

Herpes Simplex 1 and Periopathogen Role in Peri-implantitis.

INTRODUCTION: The objectives of this study were to compare the qualitative and quantitative profiles of herpes simplex virus type I (HSV-1) in implant surfaces between participants with peri-implantitis (PI) and Healthy peri-implant tissues and to quantitatively assess the relation between HSV-1 and periopathogens inside the microbiological profile associated with PI. MATERIALS AND METHODS: A total of 40 patients with PI and 40 with healthy peri-implant tissues (HI) were recruited. Plaque samples from peri-implant sulcus and internal implant connections were analyzed using quantitative real-time polymerase chain reaction to detect and quantify HSV-1 and periodonto-pathogens. Frequencies of detection and levels of microorganisms were compared between PI and HI; the frequencies and levels of periodontopathogens were compared between HSV-1+ and HSV-1- PI to assess qualitative relations between HSV-1 and bacteria. Correlation between HSV-1 and periodontopatho-gens levels was assessed in PI and HI. RESULTS: A total of 77 dental implants affected by PI, and 113 HIs were included. The HSV-1 prevalence was slightly higher in PI compared with controls (33.3 vs 23.8%; p > 0.05); HSV-1 was detected in external samples more frequently compared with internal samples. The HSV-1-positive patients revealed higher median loads of Prevotella intermedia (Pi) and Campylobacter rectus (Cr) compared with HSV-1-negative patients. In the PI group, a significant positive correlation was evidenced between HSV-1 and Tannerella forsythia, Parvimonas micra (Pm), Fusobacterium nucleatum, and Cr levels, while in the HI, positive correlation between HSV-1 and Aggregatibacter actinomycetemcomitans, Pi, and Pm was established. CONCLUSION: The HSV-1 prevalence cannot be used to identify PI. The HSV-1 was found in similar levels of PI and HI patients after an average of 6 years of loaded implants. The HSV-1 prevalence cannot be used to identify implants with or without the presence of PI. CLINICAL SIGNIFICANCE: Although HSV-1 is detected in PI site, HSV-1 may represent an unspecific indicator for the host response to the bacterial challenge observed in PI.

Dental implants in bilateral bifid canal and compromised interocclusal space using cone beam computerized tomography.

Knowledge of various anatomic landmarks is pivotal for important success. Bifid canals pose a challenge and can lead to difficulties while performing implant surgery in the mandible. Bifid canals can be diagnosed with panoramic radiography and more accurately with cone beam computerized tomography (CBCT). This case report details the placement of the implant in a patient with bilateral bifid canal and compromised interocclusal space, which was successfully treated using CBCT.

External cervical resorption case report and a brief review of literature.

External cervical resorption (ECR) is the loss of dental hard tissue as a result of odontoclastic action; it usually begins on the cervical region of the root surface of the teeth. The etiology, predisposing factors, diagnosis, and management of ECR have been reviewed here. Effective management and appropriate treatment can only be carried out if the true nature and exact location of the ECR lesion are known. This paper reports on the management of a case of external cervical root resorption (ECRR), which involved root canal treatment and removal of the resorbing area of the affected tooth as well as filling the resorbed area with mineral trioxide aggregate (MTA) and resin-modified glass ionomer filling material (RMGIC). The defect was filled with bone graft material and guided tissue regeneration (GTR) membrane. This case highlights the importance of using MTA and successful management of cervical resorption with a stable uneventful clinical recovery.

Assessment of Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans in Down's syndrome subjects and systemically healthy subjects: A comparative clinical trial.

OBJECTIVES: To compare and quantify the presence of periodontal pathogens Aggregatibacter actinomycetemcomitans (Aac) and Porphyromonas gingivalis (Pg) in Down's syndrome (DS) and systemically healthy subjects with periodontitis and gingivitis. MATERIALS AND METHODS: Fifty-nine age-matched subjects were categorized into four groups; Group I: DS subjects with gingivitis, Group II: DS subjects with periodontitis, Group III: Systemically healthy subjects with gingivitis and Group IV: Systemically healthy subjects with periodontitis. Plaque samples from all the four groups were collected and analyzed to evaluate the presence of Aac and Pg using real time polymerase chain reaction. The indices used were oral hygiene index simplified, community periodontal index for treatment needs and plaque index. RESULTS: This study showed a statistically significant detection in the levels of both Aac (<0.001) and Pg (<0.001) in DS subjects with periodontitis when compared with the healthy controls with periodontitis; moreover, there was a statistically significant increase in Pg levels compared to Aac in DS gingivitis group. CONCLUSION: There was a statistically significant presence of Pg and Aac in both DS gingivitis and DS periodontitis over control groups with increased levels of Pg compared with Aac in DS gingivitis group.