Diabetes & metabolic syndrome最新文献_第4页

Resolution of Metabolic syndrome with reduction of visceral adipose tissue in a 47 year old patient with Type 2 Diabetes Mellitus. 47岁2型糖尿病患者代谢综合征与内脏脂肪组织减少的关系

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-06-16 DOI: 10.1016/j.dsx.2020.05.036

Gerald C Dembrowski, Jessica W Barnes

{"title":"Resolution of Metabolic syndrome with reduction of visceral adipose tissue in a 47 year old patient with Type 2 Diabetes Mellitus.","authors":"Gerald C Dembrowski, Jessica W Barnes","doi":"10.1016/j.dsx.2020.05.036","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.05.036","url":null,"abstract":"Background and aims: Metabolic syndrome (MetS), defined as a cluster of metabolic abnormalities including visceral adiposity, insulin resistance, hypertension, and dyslipidemia, now affects more than a third of adults in the United States highlighting the need for effective complementary approaches to current treatments.Methods: We present a case report of a 47-year-old man with a history of MetS and poorly controlled Type 2 Diabetes Mellitus (T2D) who completed a 20Lighter program (20L) including a very low calorie diet (VLCD). At the time of enrollment his BMI was 32.7, HbA1c was 9.6%, and prescription medication history included lisinopril, lovastatin, and metformin, glimepiride, and combination sitagliptin/metformin.Results: Fifteen weeks after beginning 20L (6 weeks after program completion) marked reduction of weight, visceral adipose tissue and normalization of HbA1C was seen, and all medications were withdrawn.Conclusions: While longer follow-up is required, this case report shows that a comprehensive program including a relatively short period of nutritionally complete VLCD, followed by gradual return to moderate dietary lifestyle is capable of producing clinically significant improvements in health and quality of life in individuals with MetS and poorly controlled T2D.","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1001-1004"},"PeriodicalIF":10.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.05.036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38116396","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}

引用次数: 4

Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model. 基于多元线性回归模型的新型冠状病毒病(COVID-19)大流行新发病例预测

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-08-01 DOI: 10.1016/j.dsx.2020.07.045

Smita Rath, Alakananda Tripathy, Alok Ranjan Tripathy

{"title":"Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model.","authors":"Smita Rath, Alakananda Tripathy, Alok Ranjan Tripathy","doi":"10.1016/j.dsx.2020.07.045","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.07.045","url":null,"abstract":"Introduction and aims: The COVID-19 pandemic originated from the city of Wuhan of China has highly affected the health, socio-economic and financial matters of the different countries of the world. India is one of the countries which is affected by the disease and thousands of people on daily basis are getting infected. In this paper, an analysis of daily statistics of people affected by the disease are taken into account to predict the next days trend in the active cases in Odisha as well as India.Material and methods: A valid global data set is collected from the WHO daily statistics and correlation among the total confirmed, active, deceased, positive cases are stated in this paper. Regression model such as Linear and Multiple Linear Regression techniques are applied to the data set to visualize the trend of the affected cases.Results: Here a comparison of Linear Regression and Multiple Linear Regression model is performed where the score of the model R2tends to be 0.99 and 1.0 which indicates a strong prediction model to forecast the next coming days active cases. Using the Multiple Linear Regression model as on July month, the forecast value of 52,290 active cases are predicted towards the next month of 15th August in India and 9,358 active cases in Odisha if situation continues like this way. CONCLUSION: These models acquired remarkable accuracy in COVID-19 recognition. A strong correlation factor determines the relationship among the dependent (active) with the independent variables (positive, deceased, recovered).","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1467-1474"},"PeriodicalIF":10.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.07.045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38253813","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}

引用次数: 111

Reply to the letter of Mahajan and Gaur in response to the article: Comorbidities in COVID-19: Outcomes in hypertensive cohort and controversies with renin angiotensin system blockers (Singh et al.). 回复Mahajan和Gaur对文章《COVID-19合并症:高血压队列的结局和肾素血管紧张素系统阻滞剂的争议》的回复(Singh等人)。

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-05-23 DOI: 10.1016/j.dsx.2020.05.030

Awadhesh Kumar Singh, Ritesh Gupta, Anoop Misra

引用次数: 4

Is elephant foot yam (Amorphophallus paeoniifolius) tuber detrimental to patients with diabetes? (Or a myth?). 象脚山药块茎对糖尿病患者有害吗?(还是一个神话?)

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-06-26 DOI: 10.1016/j.dsx.2020.06.052

Shaikh Shahinur Rahman

引用次数: 1

I believe community pharmacists can contribute in the early screening and referral of patients at risk for metabolic syndrome. Do you? 我相信社区药剂师可以在代谢综合征风险患者的早期筛查和转诊中做出贡献。你呢?

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-07-15 DOI: 10.1016/j.dsx.2020.07.012

M G Rajanandh

引用次数: 0

Diabetic ketoacidosis precipitated by COVID-19: A report of two cases and review of literature. 新冠肺炎诱发糖尿病酮症酸中毒2例报告并文献复习

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-08-01 DOI: 10.1016/j.dsx.2020.07.050

Pavan Kumar Reddy, Mohammad Shafi Kuchay, Yatin Mehta, Sunil Kumar Mishra

{"title":"Diabetic ketoacidosis precipitated by COVID-19: A report of two cases and review of literature.","authors":"Pavan Kumar Reddy, Mohammad Shafi Kuchay, Yatin Mehta, Sunil Kumar Mishra","doi":"10.1016/j.dsx.2020.07.050","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.07.050","url":null,"abstract":"Background and aims: The relationship between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) and diabetes mellitus is bidirectional. On one hand, diabetes mellitus is associated with an increased risk of severe COVID-19. On the other hand, new onset diabetes and severe metabolic complications of pre-existing diabetes, including diabetic ketoacidosis (DKA) have been observed in patients with COVID-19. In this report, we describe two patient with diabetes mellitus who presented to our hospital with DKA. We also reviewed almost all published cases of DKA that had been precipitated by COVID-19.Methods: Two patients were admitted with DKA, who were diagnosed to have COVID-19 on the basis of real time reverse transcription-polymerase chain reaction (RT-PCR) assay. Detailed history, anthropometry, laboratory investigations, imaging studies, clinical course and management outcomes were documented.Results: First patient (30-year-male) had undiagnosed diabetes and no other comorbidities, and COVID-19 precipitated DKA. He also had COVID-19-associated pneumonia. Second patient (60-year-male) had long duration hypertension with no prior history of diabetes and developed cerebrovascular accident (CVA). He was also diagnosed with COVID-19 (RT-PCR assay) and DKA in the hospital. CVA and COVID-19 could have precipitated DKA. Both patients responded well to treatment and were discharged in a stable condition.Conclusions: These cases show that COVID-19 can precipitate DKA in a significant number of patients. DKA can occur in patients with pre-existing diabetes or newly diagnosed diabetes. As COVID-19 and diabetes are prevalent conditions, high degree of suspicion is required to diagnose DKA timely in order to improve the prognosis of COVID-19-related diabetic ketoacidosis.","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1459-1462"},"PeriodicalIF":10.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.07.050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38253812","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}

引用次数: 99

Tools to manage medical uncertainty. 管理医疗不确定性的工具。

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-08-08 DOI: 10.1016/j.dsx.2020.07.055

Amit K Ghosh, Shashank Joshi

{"title":"Tools to manage medical uncertainty.","authors":"Amit K Ghosh, Shashank Joshi","doi":"10.1016/j.dsx.2020.07.055","DOIUrl":"https://doi.org/10.1016/j.dsx.2020.07.055","url":null,"abstract":"Background and aims: Despite an explosion of evidence-based guidelines, many decisions in clinical practice remain shrouded in uncertainty. Physicians could view ambiguous situations as a source of threat. Uncertainty results from personal lack of knowledge, limits of current medical knowledge and the inability to distinguish between the two. The purpose of this review is to study the prevalence, effects and management of medical uncertainty in clinical practice.Methods: PubMed search for articles on prevalence and management of medical uncertainty.Results and conclusion: Intolerance to uncertainty among physicians may result in increased test-ordering tendencies, failure to comply with evidence-based guidelines, guide career choices, and result in decreased comfort with geriatric, chronic illness and psychological problems. Factors causing variability of disease management includes: patient factors(inappropriate prioritization, risk aversion, expectations), physicians factors(lack of knowledge, intolerance to medical uncertainty, limited resources, time constraints), biological variability of patient, health system factors, patients comorbidities, technological and media influences contributing further to unrealistic expectations. Physicians' perceptions of uncertainty in their daily work vary considerably. Urologist and orthopedic surgeons reported less uncertainty in their daily routine compared to psychiatrists, family practitioners and general internists. Effective methods of managing uncertainty include, consensus building among physicians from 3 or more specialties regarding patients problem, building trust between patients, their physicians and health care systems, thoughtful evaluation with exclusion of worrisome diagnosis, apply evidence-based information with effective risk communication, negotiating management strategies with patient and establishing regular follow-up with personalized feedback. (- 245 words).","PeriodicalId":520602,"journal":{"name":"Diabetes & metabolic syndrome","volume":" ","pages":"1529-1533"},"PeriodicalIF":10.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.dsx.2020.07.055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38395783","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}

引用次数: 10

Burden of diabetic kidney disease among persons with type 2 diabetes mellitus registered in a tertiary care center, Puducherry. 在Puducherry三级保健中心登记的2型糖尿病患者的糖尿病肾病负担

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-06-23 DOI: 10.1016/j.dsx.2020.06.037

Tanveer Rehman, Suryanarayana Bettadpura Shamanna, Palanivel Chinnakali, Palani Selvam Mohanraj, Gandhipuram Periyasamy Senthilkumar, Gokul Sarveswaran, Manikandanesan Sakthivel

引用次数: 2

Corrigendum to "Vitamin D concentrations and COVID-19 infection in UK Biobank" [Diabetes Metabol Syndr: Clin Res Rev 2020 14 (4) 561-5]. “英国生物银行维生素D浓度与COVID-19感染”的勘误表[糖尿病代谢综合征:临床研究，2020,14(4)561-5]。

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-07-23 DOI: 10.1016/j.dsx.2020.07.021

Claire E Hastie, Daniel F Mackay, Frederick Ho, Carlos A Celis-Morales, Srinivasa Vittal Katikireddi, Claire L Niedzwiedz, Bhautesh D Jani, Paul Welsh, Frances S Mair, Stuart R Gray, Catherine A O'Donnell, Jason Mr Gill, Naveed Sattar, Jill P Pell

引用次数: 29

Letter to the Editor in response to the article: "Increase in the risk of type 2 diabetes during lockdown for the COVID19 pandemic in India: A cohort analysis" (Ghoshal et al.). 致编辑的回应文章的信:“印度covid - 19大流行封锁期间2型糖尿病风险增加:一项队列分析”(Ghoshal等人)。

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Diabetes & metabolic syndrome Pub Date : 2020-09-01 Epub Date: 2020-07-12 DOI: 10.1016/j.dsx.2020.06.057

Raj Chand, Sadiyah H Asmil, Michelle Chico

引用次数: 0