Diabetes & metabolic syndrome最新文献

{"title":"Statin therapy did not improve the in-hospital outcome of coronavirus disease 2019 (COVID-19) infection.","authors":"Timotius Ivan Hariyanto,&nbsp;Andree Kurniawan","doi":"10.1016/j.dsx.2020.08.023","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.08.023","url":null,"abstract":"<p><strong>Background and aims: </strong>The coronavirus disease 2019 (COVID-19) number of death cases is still increasing. One of the comorbidities associated with severe outcome and mortality of COVID-19 is dyslipidemia. Statin is one of the drugs which is most commonly used for the treatment of dyslipidemic patients. This study aims to analyze the association between statin use and in-hospital outcomes of COVID-19 infection.</p><p><strong>Methods: </strong>We systematically searched the Google Scholar database using specific keywords related to our aims until August 1st, 2020. All articles published on COVID-19 and statin were retrieved. Statistical analysis was done using Review Manager 5.4 software.</p><p><strong>Results: </strong>A total of 9 studies with a total of 3449 patients were included in our analysis. Our meta-analysis showed that statin use did not improve severity outcome [OR 1.64 (95% CI 0.51-5.23), p = 0.41, I² = 93%, random-effect modelling] nor mortality rate from COVID-19 infection [OR 0.78 (95% CI 0.50-1.21), p = 0.26, I² = 0%, fixed-effect modelling].</p><p><strong>Conclusion: </strong>Statin use did not improve in-hospital outcomes of COVID-19 infections. Patients with dyslipidemia should continue taking statin drugs despite COVID-19 infection status, given its beneficial effects on cardiovascular outcomes.</p>","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1613-1615"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.08.023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38342986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID19 induced acute pancreatitis and pancreatic necrosis in a patient with type 2 diabetes.","authors":"Amerta Ghosh,&nbsp;Vimal Gupta,&nbsp;Anoop Misra","doi":"10.1016/j.dsx.2020.10.008","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.10.008","url":null,"abstract":"","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"2097-2098"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.10.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38570184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wisely choosing the numbers during the pandemic.","authors":"Srinivas B S Kambhampati,&nbsp;Raju Vaishya","doi":"10.1016/j.dsx.2020.09.024","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.09.024","url":null,"abstract":"<p><p>Having the right data is critical in managing a crisis. More so, at the time of a pandemic. Rather than relying heavily on absolute numbers, we discuss alternatives that could improve testing numbers in India.</p>","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1895"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.09.024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38445329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetic ketoacidosis treatment during COVID-19 pandemic in a country with scarce health resources.","authors":"Claudia C Gutiérrez-Ortiz,&nbsp;Marcio J Concepción-Zavaleta,&nbsp;Eilhart J García-Villasante","doi":"10.1016/j.dsx.2020.09.014","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.09.014","url":null,"abstract":"","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1847-1848"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.09.014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38415501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does metabolic syndrome during pregnancy really a risk to autism spectrum disorder?","authors":"Debi Ann Abraham,&nbsp;M G Rajanandh","doi":"10.1016/j.dsx.2020.08.006","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.08.006","url":null,"abstract":"","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1591-1592"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.08.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38322274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short term follow-up of patients presenting with acute onset diabetes and diabetic ketoacidosis during an episode of COVID-19.","authors":"Mohammad Shafi Kuchay,&nbsp;Pavan Kumar Reddy,&nbsp;Sakshi Gagneja,&nbsp;Anu Mathew,&nbsp;Sunil Kumar Mishra","doi":"10.1016/j.dsx.2020.10.015","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.10.015","url":null,"abstract":"<p><strong>Background and aims: </strong>Acute onset diabetes and diabetic ketoacidosis (DKA) can be precipitated by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in individuals with no history of diabetes. However, data regarding the follow-up of these individuals are scarce.</p><p><strong>Methods: </strong>Three patients (data of two patients already published) with acute onset diabetes and DKA, precipitated by coronavirus disease 2019 (COVID-19), were followed for 14 weeks to assess the behavior of the diabetes. Detailed history, anthropometry, laboratory investigations, imaging studies, clinical course and outcomes were documented.</p><p><strong>Results: </strong>Three individuals developed symptoms suggestive of SARS CoV-2 infection. After a few days, they were detected to have COVID-19 pneumonia, based on reverse transcription-polymerase chain reaction (RT-PCR) assay and chest imaging. In the meantime, they also developed acute onset diabetes and DKA, which were precipitated by COVID-19. They responded well to treatment, including intravenous fluids and insulin. After around one week, they were transitioned to multiple shots of subcutaneous insulin. After about 4-6 weeks, their insulin requirement diminished and oral antihyperglycemic drugs were initiated. At the last follow-up (14 months), they had controlled glycemia with oral antihyperglycemic medicines.</p><p><strong>Conclusions: </strong>COVID-19 can induce acute onset diabetes and DKA in some individuals with no history of diabetes. These features resemble type 1 diabetes. However, after 4-6 weeks, their requirement for exogenous insulin diminishes and respond to oral antihyperglycemic medications. Long term follow up is required to further understand the type of diabetes induced by SARS CoV-2 infection in these individuals.</p>","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"2039-2041"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.10.015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38632300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ivermectin in COVID-19: What do we know?","authors":"Sanjay Pandey,&nbsp;Subodh Kumar Pathak,&nbsp;Apurva Pandey,&nbsp;Abhijeet Ashok Salunke,&nbsp;Jasneet Chawla,&nbsp;Aryan Sharma,&nbsp;Sarthak Sharma,&nbsp;Praveen Thivari,&nbsp;Harish V K Ratna","doi":"10.1016/j.dsx.2020.09.027","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.09.027","url":null,"abstract":"","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1921-1922"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.09.027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38467491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Analogue insulin with other insulins in patients with type 1 diabetes in Ahmedabad, Western India: A Rretrospective study.","authors":"Mahira Saiyed,&nbsp;Banshi Saboo,&nbsp;Maitry Pancholi","doi":"10.1016/j.dsx.2020.09.025","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.09.025","url":null,"abstract":"<p><strong>Background & aim: </strong>Type of insulin is prescribed according to the glycaemic status of the patient, affordability, and preference of the patient. Analogues are considered to be the good therapeutic treatment for patients with type 1 diabetes, as they closely mimic physiological insulin kinetics and minimize the risk of hypoglycemia as compared to other insulin formulations. In this study, we aimed to assess the effectiveness of different insulin regimen (analogue insulins, regular insulins, and NPH insulins) in patients with type 1 diabetes in Ahmedabad, western India.</p><p><strong>Method: </strong>A retrospective study was carried out on patients with type 1 diabetes aged below 18 years. They were categorized into three groups as per their insulin regimen-on analogues, on regular insulin and on premix insulin. Their mean HbA1c was extracted from the database in order to know the effectiveness of their respective insulin regimen. Only those patients were studied who had undergone HbA1c from January 2018 to January 2020, who were regular in their visit to the clinic (>3 visits/year in past 2 years), were on stable insulin regimen and had absence of lipodystrophy.Outcome was analyzed based on glycosylated hemoglobin concentration. Because of retrospective nature of the analysis, accurate capture of hypoglycemia data was not possible.</p><p><strong>Results: </strong>.450 patients were studied and out of that 180 were on analogue insulin, 210 were on regular insulin and, 60 patients were on premix insulin. Mean duration of diabetes 7.7 years, 8.2 years and 8.5 years, respectively. The mean Hba1c value in the corresponding insulin regimen was 9.37%, 9.3%, and 9.7% respectively. The difference in HbA1C values was statistically not significant.</p><p><strong>Conclusion: </strong>There is no difference in HbA1c levels with the use of any three insulin regimens in patients with type 1 diabetes. Further prospective studies are required in a controlled manner in Indian patients to corroborate these preliminary findings and also compute the risk of hypoglycaemia.</p>","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1923-1925"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.09.025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38467492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetes, D-dimer and COVID-19: The possible role of glucose control.","authors":"Antonio Ceriello","doi":"10.1016/j.dsx.2020.10.011","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.10.011","url":null,"abstract":"","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1987"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.10.011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38514377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotion analysis of Indians using google trends during COVID-19 pandemic.","authors":"Usha Rana,&nbsp;Rupender Singh","doi":"10.1016/j.dsx.2020.09.015","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.09.015","url":null,"abstract":"","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1849-1850"},"PeriodicalIF":10.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.09.015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38517046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}