1.
Effect of Different Glucose Monitoring Methods on Bold Glucose Control: A Systematic Review and Meta-Analysis.
Wang, Y, Zou, C, Na, H, Zeng, W, Li, X
Computational and mathematical methods in medicine. 2022;2022:2851572
-
-
-
Free full text
Plain language summary
Diabetes is one of the most common chronic diseases in China, with a high prevalence rate of 12.8%. Diabetes is divided into type 1 diabetes and type 2 diabetes. Monitoring blood glucose levels is also very important to keep the blood glucose level at a normal level. The aim of this study was to evaluate the effectiveness of continuous glucose monitoring (CGM) and self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among patients with type 1 diabetes. This study is a systematic review and meta-analysis of fifteen studies Results showed that the level of haemoglobin A1C in the CGM group decreased by 2.69 mmol/mol compared with the SMBG group. Furthermore, compared with the SMBG group, the risk of severe hypoglycaemic events in the CGM group was reduced by 48%, which is inconsistent with the results of other meta-analyses. Finally, there was no difference between the two methods in the incidence of diabetic ketoacidosis [is a serious complication of diabetes that can be life-threatening]. Authors conclude that for patients with type 1 diabetes, CGM is a better method for monitoring blood glucose.
Abstract
Objective: To evaluate the effectiveness of different glucose monitoring methods on blood glucose control and the incidence of adverse events among patients with type 1 diabetes mellitus. Methods: Using the method of literature review, the databases PubMed, Cochrane, and Embase were retrieved to obtain relevant research literature, and the selected studies were analyzed and evaluated. This study used Cochrane software RevMan5.4 to statistically analyze all the data. Results: A total of 15 studies were included in this study, including 10 randomized controlled trials and 5 crossover design trials, with a total of 2071 patients. Meta-analysis results showed that continuous blood glucose monitoring (CGM) could significantly reduce the HbA1c level of patients, weighted mean difference (WMD) = -2.69, 95% confidence interval (CI) (-4.25, -1.14), and P < 0.001 compared with self-monitoring of blood glucose (SMBG). Meanwhile, the incidence of severe hypoglycemia in the CGM group was significantly decreased, risk ratio (RR) = 0.52, 95% CI 0.35-0.77, and P = 0.001. However, there was no statistical difference in the probability of diabetic ketoacidosis between CGM and SMBG groups, RR = 1.34, 95% CI 0.57-3.15, and P = 0.5. Conclusion: Continuous blood glucose monitoring is associated with lower blood glucose levels than the traditional blood glucose self-test method.
2.
Short- and potential long-term adverse health outcomes of COVID-19: a rapid review.
Leung, TYM, Chan, AYL, Chan, EW, Chan, VKY, Chui, CSL, Cowling, BJ, Gao, L, Ge, MQ, Hung, IFN, Ip, MSM, et al
Emerging microbes & infections. 2020;9(1):2190-2199
-
-
-
Free full text
Plain language summary
The Coronavirus pandemic (Covid-19) has infected millions of people worldwide and there is evidence that it affects many systems in the human body. This rapid review summarises the current evidence on short-term negative health outcomes of Covid-19. It also assesses the risk of potential long-term negative effects by looking at data from the other coronaviruses; Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The burden for caring for Covid-19 survivors is likely to be huge and so policy makers need suitable data to put the appropriate care strategies in place. The review is divided into sections as per body system affected: Immune, respiratory, cardiovascular, gastrointestinal, hepatic and renal, neurological, dermatological, mental health, pregnancy and prenatal exposure. The evidence (short-term and long-term) is then reviewed by experts in those fields. Further large-scale studies are needed to monitor the adverse effects and to measure the long-term health consequences.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has resulted in millions of patients infected worldwide and indirectly affecting even more individuals through disruption of daily living. Long-term adverse outcomes have been reported with similar diseases from other coronaviruses, namely Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Emerging evidence suggests that COVID-19 adversely affects different systems in the human body. This review summarizes the current evidence on the short-term adverse health outcomes and assesses the risk of potential long-term adverse outcomes of COVID-19. Major adverse outcomes were found to affect different body systems: immune system (including but not limited to Guillain-Barré syndrome and paediatric inflammatory multisystem syndrome), respiratory system (lung fibrosis and pulmonary thromboembolism), cardiovascular system (cardiomyopathy and coagulopathy), neurological system (sensory dysfunction and stroke), as well as cutaneous and gastrointestinal manifestations, impaired hepatic and renal function. Mental health in patients with COVID-19 was also found to be adversely affected. The burden of caring for COVID-19 survivors is likely to be huge. Therefore, it is important for policy makers to develop comprehensive strategies in providing resources and capacity in the healthcare system. Future epidemiological studies are needed to further investigate the long-term impact on COVID-19 survivors.
3.
The Dynamic Interplay between the Gut Microbiota and Autoimmune Diseases.
Xu, H, Liu, M, Cao, J, Li, X, Fan, D, Xia, Y, Lu, X, Li, J, Ju, D, Zhao, H
Journal of immunology research. 2019;2019:7546047
-
-
-
Free full text
Plain language summary
The human gut, or intestines, are populated with commensal bacteria which live in harmony with us and support various biological functions. The main role of the gut microbiota is to maintain the homeostasis of our immune system. It does this by maintaining the integrity of the intestinal lining and helping with digestive processes, production, and absorption of nutrients, and harvesting of immune cells. Our gut microbiome develops throughout infancy and confers benefits in adulthood and so any disruption to its development may impact on health. An imbalance between these helpful bacteria and more harmful pathogenic bacteria, which are also present in smaller amounts, is called dysbiosis and is a common factor in many autoimmune conditions. Autoimmune conditions are characterised by an over-active immune system where immune cells attack our own body. Imbalances in gut microbiota are also common, and diet is thought to be a key factor alongside other genetic and environmental factors. Evidence suggests that long-term dysbiosis may trigger autoimmune disease, amplify disease progression or both, as seen in studies on Arthritis, Lupus, Inflammatory bowel disease. The gut microbiota can be partially restored and supported with antimicrobial interventions, prebiotics, and selective probiotics. The review concludes that therapies targeting the gut microbiota may be effective in the future prevention or treatment of autoimmune diseases.
Abstract
The human gut-resident commensal microbiota is a unique ecosystem associated with various bodily functions, especially immunity. Gut microbiota dysbiosis plays a crucial role in autoimmune disease pathogenesis as well as in bowel-related diseases. However, the role of the gut microbiota, which causes or influences systemic immunity in autoimmune diseases, remains elusive. Aryl hydrocarbon receptor, a ligand-activated transcription factor, is a master moderator of host-microbiota interactions because it shapes the immune system and impacts host metabolism. In addition, treatment optimization while minimizing potential adverse effects in autoimmune diseases remains essential, and modulation of the gut microbiota constitutes a potential clinical therapy. Here, we present evidence linking gut microbiota dysbiosis with autoimmune mechanisms involved in disease development to identify future effective approaches based on the gut microbiota for preventing autoimmune diseases.