Background Inflammatory bowel disease (IBD) is a multisystem disease impacting various body systems including musculoskeletal, ocular, skin, hepatobiliary, pulmonary, cardiac, and haematological systems. The extraintestinal manifestations of IBD are frequent, common in both ulcerative colitis (UC) and Crohn’s disease (CD), and impact the morbidity and mortality of patients. Methods The Embase, Embase classic, and PubMed databases were searched between January 1979 and December 2021. A random effects model was performed to find the pooled prevalence of joint, ocular, and skin extraintestinal manifestations of UC and CD. Results Fifty-two studies were included that reported on 352 454 patients. The prevalence of at least 1 joint, ocular, or skin extraintestinal manifestation in all IBD, UC, and CD was 24%, 27%, and 35% respectively. The prevalence between UC and CD were similar for pyoderma gangrenosum and axial joint manifestations. Ocular manifestations were found to be more common in CD than in UC. Peripheral joint manifestations and erythema nodosum were found to be more common in CD than UC. Discussion To our knowledge, this is the first meta-analysis that reports on the prevalence of at least 1 joint, ocular, or skin extraintestinal manifestation in IBD. Our results are largely consistent with figures and statements quoted in the literature. However, our findings are based on significantly larger cohort sizes. Thus, our results have the potential to better power studies and more accurately counsel patients.
This study describes the construction of a new algorithm where image processing along with the two-step quasi-Newton methods is used in biomedical image analysis. It is a well-known fact that medical informatics is an essential component in the perspective of health care. Image processing and imaging technology are the recent advances in medical informatics, which include image content representation, image interpretation, and image acquisition, and focus on image information in the medical field. For this purpose, an algorithm was developed based on the image processing method that uses principle component analysis to find the image value of a particular test function and then direct the function toward its best method for evaluation. To validate the proposed algorithm, two functions, namely, the modified trigonometric and rosenbrock functions, are tested on variable space.
Background: Pre-gestational diabetes can pose significant risk to the mother and infant, thus requiring careful counselling and management. Since Saint Vincent’s declaration in 1989, adverse maternal and fetal outcomes, such as preeclampsia, perinatal mortality, congenital anomalies, and macrosomia, continue to be associated with type 1 diabetes. Although pregnancy is not considered an independent risk factor for the development of new onset microvascular complications, it is known to exacerbate pre-existing microvascular disease. Strict glycaemic control is the optimal management for pre-existing type 1 diabetes in pregnancy, as raised HbA1C is associated with increased risk of maternal and fetal complications. More recently, time in range on Continuous Glucose Monitoring glucose profiles has emerged as another useful evidence-based marker of fetal outcomes. Objective: This review summarises the complications associated with pre-gestational type 1 diabetes, appropriate evidence-based management, including preparing for pregnancy, intrapartum and postpartum care. Methods: A structured search of the PubMed and Cochrane databases was conducted. Peer-reviewed articles about complications and management guidelines on pre-gestational type 1 diabetes were selected and critically appraised. Results: One hundred and twenty-three manuscripts were referenced and appraised in this review, and international guidelines were summarised. Conclusion: This review provides a comprehensive overview of the recurring themes in the literature pertaining to type 1 diabetes in pregnancy: maternal and fetal complications, microvascular disease progression, and an overview of current guideline-specific management.
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