Glaucoma is the second leading cause of blindness worldwide, and peripapillary atrophy (PPA) is a morphological symptom associated with it. Therefore, it is necessary to clinically detect PPA for glaucoma diagnosis. This study was aimed at developing a detection method for PPA using fundus images with deep learning algorithms to be used by ophthalmologists or optometrists for screening purposes. The model was developed based on localization for the region of interest (ROI) using a mask region-based convolutional neural networks R-CNN and a classification network for the presence of PPA using CNN deep learning algorithms. A total of 2,472 images, obtained from five public sources and one Saudi-based resource (King Abdullah International Medical Research Center in Riyadh, Saudi Arabia), were used to train and test the model. First the images from public sources were analyzed, followed by those from local sources, and finally, images from both sources were analyzed together. In testing the classification model, the area under the curve’s (AUC) scores of 0.83, 0.89, and 0.87 were obtained for the local, public, and combined sets, respectively. The developed model will assist in diagnosing glaucoma in screening programs; however, more research is needed on segmenting the PPA boundaries for more detailed PPA detection, which can be combined with optic disc and cup boundaries to calculate the cup-to-disc ratio.
Background: Postoperative venous thromboembolism (VTE) is the most common complication of plastic surgery procedures. Diverse risk assessment models (RAMs) exist to stratify patients by VTE risk, but due to a lack of high-quality evidence and heterogeneity in RAM data, there is no recommendation regarding RAM that can be used for plastic surgery patients. This study compares the reliability and outcomes of Caprini and American Society of Anesthesiologists (ASA) physical status classification RAMs used in plastic surgery to help surgeons stratify the risk of VTE. Methods: MEDLINE and Embase databases were searched between February 2010 and December 2021. All published English articles that report the incidence of VTE stratified by a RAM among patients who underwent plastic surgery were included. The results of the presented meta-analysis were pooled using a random-effects model. Results: The database search revealed 809 articles, out of which eight studies (n = 1,348,606) were eligible. Out of the eight studies, six utilized the Caprini score, and three utilized ASA score. Super-high-risk patients were significantly more likely to present with VTE than their high-risk [odds ratio (OR), 2.92; 95% confidence interval (CI), 1.26–6.78], medium-risk (OR, 5.29; 95% CI, 2.38–11.79), or low-risk counterparts (OR, 10.00; 95% CI, 2.32–43.10) at Caprini score. High-risk patients in ASA score showed significant increase in VTE incidents (OR, 2.72; 95% CI, 1.10–6.72). Conclusions: Both Caprini and ASA RAMs showed compelling evidence of efficacy in our study. However, the Caprini RAM is more predictive of postoperative VTE incidents in high-risk plastic surgery patients than the ASA grading system.
Background. Inflammatory bowel disease (IBD), which includes ulcerative colitis (UC) and Crohn’s disease (CD), is a chronic relapsing disease indicated by inflammation of the gastrointestinal tract. Celiac disease (CeD) is a chronic autoimmune disease of the small bowel. The prevalence of CeD in IBD patients is unknown. Some studies have described the coexistence of the 2 diseases in the same patient. This study aimed to investigate the prevalence of CeD in Saudi Arabian children with IBD. Methods. We used a retrospective study design because data can be collected immediately and is easier to analyze afterward. The study was conducted on IBD patients in the Pediatric Gastroenterology Department at National Guard Hospital, Jeddah, Saudi Arabia. We enrolled Saudi patients aged between 1 and 18 years who had been diagnosed with IBD and CeD based on positive biochemical serology and histology from January 2011 to January 2020. We excluded patients with immunodeficiency disorders. Results. Among the 46 enrolled patients with IBD, CeD was identified in 4, and they did not develop any relapses. We discovered that the weight at IBD diagnosis improved significantly compared to current weight ( P-value < .0001). We also discovered that the height at diagnosis of IBD improved significantly compared to the current height ( P-value < .0001). Additionally, we found no significant associations between UC and CeD ( P-value = 1), or CD and CeD ( P-value = .625). Conclusion. No significant associations were evident between the prevalence of CeD and IBD. More prospective multicenter studies are needed to clarify the prevalence of CeD in children with IBD.
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