Endothelial dysfunction with subsequent degeneration and vasoocclusive remodeling is the hallmark of many cardiovascular disorders including pulmonary vascular disease (PVD). To date, the available treatments slows disease progression but does not prevent deterioration. Reversing such pathologies would spare many patients risky surgeries and long waiting lists for a possible organ donor. Peroxisome proliferator-activated receptor agonists were first introduced as sole insulin sensitizers, however, there is increasing body of evidence that they have different actions on DNA which might help reverse vascular degeneration. This effect appears to be mainly achieved through enhancement of DNA damage responses (DDR). The aforementioned effect could offer new insights about repurposing drugs for achieving organ or tissue regeneration, an understudied field named drug-induced regenerative medicine.
{"title":"Peroxisome proliferator-activated receptor agonists and reversal of vascular degeneration through DNA repair, a step toward drug-induced regenerative medicine.","authors":"Peter Afdal, Habiba-Allah Ismail, Mirette Ashraf, Nada Hafez, Nardine Nasry, Nouran Hafez, Nourhan Youssef, Nourhan Samy, Rana Saeed, Antoine Fakhry AbdelMassih","doi":"10.1097/XCE.0000000000000217","DOIUrl":"10.1097/XCE.0000000000000217","url":null,"abstract":"<p><p>Endothelial dysfunction with subsequent degeneration and vasoocclusive remodeling is the hallmark of many cardiovascular disorders including pulmonary vascular disease (PVD). To date, the available treatments slows disease progression but does not prevent deterioration. Reversing such pathologies would spare many patients risky surgeries and long waiting lists for a possible organ donor. Peroxisome proliferator-activated receptor agonists were first introduced as sole insulin sensitizers, however, there is increasing body of evidence that they have different actions on DNA which might help reverse vascular degeneration. This effect appears to be mainly achieved through enhancement of DNA damage responses (DDR). The aforementioned effect could offer new insights about repurposing drugs for achieving organ or tissue regeneration, an understudied field named drug-induced regenerative medicine.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 4","pages":"128-131"},"PeriodicalIF":2.3,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673771/pdf/xce-9-128.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38631724","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}
Pub Date : 2020-06-16eCollection Date: 2020-12-01DOI: 10.1097/XCE.0000000000000216
Ghasem Yadegarfar, Simon G Anderson, Zohaib Khawaja, Gabriela Cortes, Kathryn Leivesley, Ann Metters, Linda Horne, Tom Steele, Adrian H Heald
Introduction: Many people with type 1 diabetes continue to run high HbA1c levels with associated elevated risk of cardiovascular events and increased mortality. We describe here how use of the FreeStyle Libre flash monitor has improved the glycaemic control of many people with type 1 diabetes where the new technology has been intensively deployed.
Methods: We report the outcomes of 92 consecutive adults (18 years of age or more) with type 1 diabetes who have begun using the FreeStyle Libre flash glucose monitor in East Cheshire, UK. Initiation was with education and support from one of the diabetes specialist nurses. An HbA1c of 60 mmol/mol (7.6%) was taken as the threshold for suboptimal glycaemic control.
Results: The mean cohort age was 43 years for men and 39 years for women (overall range 17-83 years). In 92 consecutive users, HbA1c decreased by an average of 10.7 mmol/mol (0.98%) after 3 months, and by 16.1 mmol/mol (1.47%) after 6 months. There was also a narrowing of the distribution of HbA1c, with many fewer people running high HbA1c ≥80 mmol/mol (9.5%). After the 6-month follow-up, two 2/92 users did not wish to continue with the monitoring.
Conclusion: Flash glucose monitoring has great potential for the management of type 1 diabetes in the adult population and improving metabolic control/quality of life for people across the world. The technology provides significantly more data than the intermittent results obtained by traditional subcutaneous blood glucose monitoring, which may not capture intervals of extreme variability or nocturnal events.
{"title":"The FreeStyle Libre flash glucose monitoring system: how it has improved glycaemic control for people with type 1 diabetes in Eastern Cheshire, UK.","authors":"Ghasem Yadegarfar, Simon G Anderson, Zohaib Khawaja, Gabriela Cortes, Kathryn Leivesley, Ann Metters, Linda Horne, Tom Steele, Adrian H Heald","doi":"10.1097/XCE.0000000000000216","DOIUrl":"https://doi.org/10.1097/XCE.0000000000000216","url":null,"abstract":"<p><strong>Introduction: </strong>Many people with type 1 diabetes continue to run high HbA1c levels with associated elevated risk of cardiovascular events and increased mortality. We describe here how use of the FreeStyle Libre flash monitor has improved the glycaemic control of many people with type 1 diabetes where the new technology has been intensively deployed.</p><p><strong>Methods: </strong>We report the outcomes of 92 consecutive adults (18 years of age or more) with type 1 diabetes who have begun using the FreeStyle Libre flash glucose monitor in East Cheshire, UK. Initiation was with education and support from one of the diabetes specialist nurses. An HbA1c of 60 mmol/mol (7.6%) was taken as the threshold for suboptimal glycaemic control.</p><p><strong>Results: </strong>The mean cohort age was 43 years for men and 39 years for women (overall range 17-83 years). In 92 consecutive users, HbA1c decreased by an average of 10.7 mmol/mol (0.98%) after 3 months, and by 16.1 mmol/mol (1.47%) after 6 months. There was also a narrowing of the distribution of HbA1c, with many fewer people running high HbA1c ≥80 mmol/mol (9.5%). After the 6-month follow-up, two 2/92 users did not wish to continue with the monitoring.</p><p><strong>Conclusion: </strong>Flash glucose monitoring has great potential for the management of type 1 diabetes in the adult population and improving metabolic control/quality of life for people across the world. The technology provides significantly more data than the intermittent results obtained by traditional subcutaneous blood glucose monitoring, which may not capture intervals of extreme variability or nocturnal events.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 4","pages":"171-176"},"PeriodicalIF":2.3,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38641606","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}
Coronavirus disease 2019 (COVID-19) is a serious illness that has rapidly spread throughout the globe. The seriousness of complications puts significant pressures on hospital resources, especially the availability of ICU and ventilators. Current evidence suggests that COVID-19 pathogenesis majorly involves microvascular injury induced by hypercytokinemia, namely interleukin 6 (IL-6). We recount the suggested inflammatory pathway for COVID-19 and its effects on various organ systems, including respiratory, cardiac, hematologic, reproductive, and nervous organ systems, as well examine the role of hypercytokinemia in the at-risk geriatric and obesity subgroups with upregulated cytokines' profile. In view of these findings, we strongly encourage the conduction of prospective studies to determine the baseline levels of IL-6 in infected patients, which can predict a negative outcome in COVID-19 cases, with subsequent early administration of IL-6 inhibitors, to decrease the need for ICU admission and the pressure on healthcare systems. Video abstract: http://links.lww.com/CAEN/A24.
{"title":"Is it infection or rather vascular inflammation? Game-changer insights and recommendations from patterns of multi-organ involvement and affected subgroups in COVID-19.","authors":"Antoine Fakhry AbdelMassih, Aya Kamel, Fady Mishriky, Habiba-Allah Ismail, Layla El Qadi, Lauris Malak, Miral El-Husseiny, Mirette Ashraf, Nada Hafez, Nada AlShehry, Nadine El-Husseiny, Nora AbdelRaouf, Noura Shebl, Nouran Hafez, Nourhan Youssef, Peter Afdal, Rafeef Hozaien, Rahma Menshawey, Rana Saeed, Raghda Fouda","doi":"10.1097/XCE.0000000000000211","DOIUrl":"10.1097/XCE.0000000000000211","url":null,"abstract":"<p><p>Coronavirus disease 2019 (COVID-19) is a serious illness that has rapidly spread throughout the globe. The seriousness of complications puts significant pressures on hospital resources, especially the availability of ICU and ventilators. Current evidence suggests that COVID-19 pathogenesis majorly involves microvascular injury induced by hypercytokinemia, namely interleukin 6 (IL-6). We recount the suggested inflammatory pathway for COVID-19 and its effects on various organ systems, including respiratory, cardiac, hematologic, reproductive, and nervous organ systems, as well examine the role of hypercytokinemia in the at-risk geriatric and obesity subgroups with upregulated cytokines' profile. In view of these findings, we strongly encourage the conduction of prospective studies to determine the baseline levels of IL-6 in infected patients, which can predict a negative outcome in COVID-19 cases, with subsequent early administration of IL-6 inhibitors, to decrease the need for ICU admission and the pressure on healthcare systems. Video abstract: http://links.lww.com/CAEN/A24.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 3","pages":"110-120"},"PeriodicalIF":2.3,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000211","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38271997","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}
Pub Date : 2020-06-11eCollection Date: 2020-09-01DOI: 10.1097/XCE.0000000000000215
Devinder Dhindsa, Nathan D Wong, Laurence Sperling
{"title":"Cardiovascular and cardiometabolic prevention: high-level priority in the era of COVID-19.","authors":"Devinder Dhindsa, Nathan D Wong, Laurence Sperling","doi":"10.1097/XCE.0000000000000215","DOIUrl":"10.1097/XCE.0000000000000215","url":null,"abstract":"","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 3","pages":"125-127"},"PeriodicalIF":1.3,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38271999","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}
Pub Date : 2020-06-11eCollection Date: 2020-09-01DOI: 10.1097/XCE.0000000000000218
Antoine Fakhry AbdelMassih, Ramy Ghaly, Abeer Amin, Amr Gaballah, Aya Kamel, Bassant Heikal, Esraa Menshawey, Habiba-Allah Ismail, Hend Hesham, Josephine Attallah, Kirollos Eshak, Mai Moursi, Mariam Khaled-Ibn-ElWalid, Marwa Tawfik, Mario Tarek, Mayan Mohy-El-Din, Menna Habib, Nada Hafez, Odette Bahnan, Passant Ismail, Sara Senoussy, Sherry Ghaly, Sousanna Farah, Rafeef Hozaien, Veronia Adel, Mariam Khaled
Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world since the Spanish flu in 1918. Visual examination of the world map shows a wide variation of death tolls between countries. The main goal of our series is to determine the best predictors of such discrepancy.
Methods: This is a retrospective study in which the rate of COVID-19 deaths was correlated with each of the following independent variables: total tests per 1 million population, gross domestic product (GDP), average temperatures per country, ultraviolet index, median age, average BMI per country, food supply, Bacille Calmette-Guerin compulsory status, and passenger traffic.
Results: BMI per country proved to be the second best predictor of death rate with an R value of 0.43, and GDP being the best predictor with R = 0.65.
Conclusion: This article shows a tight correlation between average BMI, food supply per country, and COVID-19-related deaths. Such predisposing factors might operate by upregulating the inflammation pathway in heavily struck countries, leading to easier triggering of the infamous cytokine storm syndrome. Obesity also increases cardiovascular and respiratory morbidities, which are coupled to increased ICU demand and deaths among infected cases.Video abstract: http://links.lww.com/CAEN/A25.
{"title":"Obese communities among the best predictors of COVID-19-related deaths.","authors":"Antoine Fakhry AbdelMassih, Ramy Ghaly, Abeer Amin, Amr Gaballah, Aya Kamel, Bassant Heikal, Esraa Menshawey, Habiba-Allah Ismail, Hend Hesham, Josephine Attallah, Kirollos Eshak, Mai Moursi, Mariam Khaled-Ibn-ElWalid, Marwa Tawfik, Mario Tarek, Mayan Mohy-El-Din, Menna Habib, Nada Hafez, Odette Bahnan, Passant Ismail, Sara Senoussy, Sherry Ghaly, Sousanna Farah, Rafeef Hozaien, Veronia Adel, Mariam Khaled","doi":"10.1097/XCE.0000000000000218","DOIUrl":"10.1097/XCE.0000000000000218","url":null,"abstract":"<p><p>Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world since the Spanish flu in 1918. Visual examination of the world map shows a wide variation of death tolls between countries. The main goal of our series is to determine the best predictors of such discrepancy.</p><p><strong>Methods: </strong>This is a retrospective study in which the rate of COVID-19 deaths was correlated with each of the following independent variables: total tests per 1 million population, gross domestic product (GDP), average temperatures per country, ultraviolet index, median age, average BMI per country, food supply, Bacille Calmette-Guerin compulsory status, and passenger traffic.</p><p><strong>Results: </strong>BMI per country proved to be the second best predictor of death rate with an <i>R</i> value of 0.43, and GDP being the best predictor with <i>R</i> = 0.65.</p><p><strong>Conclusion: </strong>This article shows a tight correlation between average BMI, food supply per country, and COVID-19-related deaths. Such predisposing factors might operate by upregulating the inflammation pathway in heavily struck countries, leading to easier triggering of the infamous cytokine storm syndrome. Obesity also increases cardiovascular and respiratory morbidities, which are coupled to increased ICU demand and deaths among infected cases.Video abstract: http://links.lww.com/CAEN/A25.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 3","pages":"102-107"},"PeriodicalIF":2.3,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38271995","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}
Pub Date : 2020-06-02eCollection Date: 2020-12-01DOI: 10.1097/XCE.0000000000000210
Adrian H Heald, Mike Stedman, Mark Davies, Mark Livingston, Ramadan Alshames, Mark Lunt, Gerry Rayman, Roger Gadsby
With sustained growth of diabetes numbers, sustained patient engagement is essential. Using nationally available data, we have shown that the higher mortality associated with a diagnosis of T1DM/T2DM could produces loss of 6.4 million future life years in the current UK population. In the model, the 'average' person with T1DM (age 42.8 years) has a life expectancy from now of 32.6 years, compared to 40.2 years in the equivalent age non diabetes mellitus population, corresponding to lost life years (LLYs) of 7.6 years/average person. The 'average' person with T2DM (age 65.4 years) has a life expectancy from now of 18.6 years compared to the 20.3 years for the equivalent non diabetes mellitus population, corresponding to LLY of 1.7 years/average person. We estimate that for both T1DM and T2DM, one year with HbA1c >58 mmol/mol loses around 100 life days. Linking glycaemic control to mortality has the potential to focus minds on effective engagement with therapy and lifestyle recommendation adherence.
{"title":"Estimating life years lost to diabetes: outcomes from analysis of National Diabetes Audit and Office of National Statistics data.","authors":"Adrian H Heald, Mike Stedman, Mark Davies, Mark Livingston, Ramadan Alshames, Mark Lunt, Gerry Rayman, Roger Gadsby","doi":"10.1097/XCE.0000000000000210","DOIUrl":"https://doi.org/10.1097/XCE.0000000000000210","url":null,"abstract":"<p><p>With sustained growth of diabetes numbers, sustained patient engagement is essential. Using nationally available data, we have shown that the higher mortality associated with a diagnosis of T1DM/T2DM could produces loss of 6.4 million future life years in the current UK population. In the model, the 'average' person with T1DM (age 42.8 years) has a life expectancy from now of 32.6 years, compared to 40.2 years in the equivalent age non diabetes mellitus population, corresponding to lost life years (LLYs) of 7.6 years/average person. The 'average' person with T2DM (age 65.4 years) has a life expectancy from now of 18.6 years compared to the 20.3 years for the equivalent non diabetes mellitus population, corresponding to LLY of 1.7 years/average person. We estimate that for both T1DM and T2DM, one year with HbA1c >58 mmol/mol loses around 100 life days. Linking glycaemic control to mortality has the potential to focus minds on effective engagement with therapy and lifestyle recommendation adherence.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 4","pages":"183-185"},"PeriodicalIF":2.3,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673790/pdf/xce-9-183.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38641608","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}
Pub Date : 2020-06-02eCollection Date: 2020-09-01DOI: 10.1097/XCE.0000000000000213
Didem Tascioglu, Kenan Yalta, Ertan Yetkin
The outbreak of coronavirus disease 2019 (COVID 19) by the novel corona virus SARS-CoV2 is the leading worldwide healthcare problem due to its contagious nature, high morbidity and mortality rates. The present pandemic has also brought an emerging situation regarding the cardiovascular complications and comorbid disease mainly pointing out hypertension (HT) and diabetes mellitus (DM). Early clinical observations have shown that HT and DM are the main comorbid disease along with cardiovascular disease, chronic obstructive lung disease and malignancies [1]. The incidences of hypertension, cardiacerebrovascular diseases and diabetes have been found to be about twofold, three and twofold, respectively, higher in ICU/severe cases than in their non-ICU/ severe counterparts by the meta-analysis of Li et al. [2]. Similarly the age and certain co-morbidities (hypertension, diabetes, etc.) have been reported to be important risk factors for mortality among the 25 death cases of with COVID-19 [1]. This worrisome situation has been further aggravated by the potential upregulation of angiotensin converting enzyme 2 in hypertensive and diabetic patients and, more interestingly, in those receiving angiotensin converting enzyme inhibitors and angiotensin receptor antagonists, thereby facilitating the inoculation of lung tissue by COVID 19 [3]. Within this context, these findings might be regarded as an alerting scenario with gloomy consequences for those with HT and DM. This concern has been surpassed by the recommendation of cardiovascular societies against to the discontinuation of angiotensin converting enzyme inhibitors and rennin–angiotensin aldosteron antagonist due to the outbreak of COVID 19 [4].
{"title":"Hypertension and diabetes mellitus in patients with COVID 19: a viewpoint on mortality.","authors":"Didem Tascioglu, Kenan Yalta, Ertan Yetkin","doi":"10.1097/XCE.0000000000000213","DOIUrl":"https://doi.org/10.1097/XCE.0000000000000213","url":null,"abstract":"The outbreak of coronavirus disease 2019 (COVID 19) by the novel corona virus SARS-CoV2 is the leading worldwide healthcare problem due to its contagious nature, high morbidity and mortality rates. The present pandemic has also brought an emerging situation regarding the cardiovascular complications and comorbid disease mainly pointing out hypertension (HT) and diabetes mellitus (DM). Early clinical observations have shown that HT and DM are the main comorbid disease along with cardiovascular disease, chronic obstructive lung disease and malignancies [1]. The incidences of hypertension, cardiacerebrovascular diseases and diabetes have been found to be about twofold, three and twofold, respectively, higher in ICU/severe cases than in their non-ICU/ severe counterparts by the meta-analysis of Li et al. [2]. Similarly the age and certain co-morbidities (hypertension, diabetes, etc.) have been reported to be important risk factors for mortality among the 25 death cases of with COVID-19 [1]. This worrisome situation has been further aggravated by the potential upregulation of angiotensin converting enzyme 2 in hypertensive and diabetic patients and, more interestingly, in those receiving angiotensin converting enzyme inhibitors and angiotensin receptor antagonists, thereby facilitating the inoculation of lung tissue by COVID 19 [3]. Within this context, these findings might be regarded as an alerting scenario with gloomy consequences for those with HT and DM. This concern has been surpassed by the recommendation of cardiovascular societies against to the discontinuation of angiotensin converting enzyme inhibitors and rennin–angiotensin aldosteron antagonist due to the outbreak of COVID 19 [4].","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 3","pages":"108-109"},"PeriodicalIF":2.3,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000213","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38271996","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}
Pub Date : 2020-05-25eCollection Date: 2020-12-01DOI: 10.1097/XCE.0000000000000202
Oliver Brown, Pierluigi Costanzo, Andrew L Clark, Gianluigi Condorelli, John G F Cleland, Thozhukat Sathyapalan, David Hepburn, Eric S Kilpatrick, Stephen L Atkin
Objective: This study aims to evaluate the relationship between a single measurement at baseline of body mass index (BMI), glycated hemoglobin (HbA1c) and subsequent clinical outcomes in patients with type 2 diabetes mellitus (T2DM).
Method: Patients with T2DM were recruited from an outpatient diabetes clinic in a single large teaching hospital in Kingston upon Hull, UK. At baseline, demographics and HbA1c were recorded. Patients were categorized by BMI: normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), and obese (>30 kg/m2). Multivariable Cox regression models that included demographic, risk factors, and comorbidities were separately constructed for all-cause, cardiovascular, cancer and sepsis-related mortality, using four groups of HbA1c (<6%, 6.0-6.9%, 7.0-7.9%, and >8%).
Results: In total, 6220 patients with T2DM (median age 62 years, 54% male) were followed for a median of 10.6 years. HbA1c levels >8.0% were associated with increased risk of all-cause mortality and cardiovascular death. However, this increased risk was not consistent across the weight categories and reached statistical significance only in overweight patients (BMI 25-29.9 kg/m2).
Conclusions: In a large cohort of patients with T2DM elevated HbA1c levels at baseline did not consistently predict increased risk of all-cause and cardiovascular mortality across the different BMI categories.
目的:本研究旨在评估2型糖尿病(T2DM)患者基线体重指数(BMI)、糖化血红蛋白(HbA1c)单项测量与随后临床结局的关系。方法:从英国Kingston upon Hull的一家大型教学医院的糖尿病门诊招募T2DM患者。在基线时,记录人口统计学和HbA1c。患者按BMI分为正常体重(18.5-24.9 kg/m2)、超重(25-29.9 kg/m2)和肥胖(>30 kg/m2)。采用四组HbA1c(8%)分别构建了包括人口统计学、危险因素和合并症在内的多变量Cox回归模型,用于全因死亡率、心血管死亡率、癌症死亡率和败血症相关死亡率。结果:共有6220例T2DM患者(中位年龄62岁,男性54%)被随访,中位时间为10.6年。HbA1c水平>8.0%与全因死亡率和心血管死亡风险增加相关。然而,这种增加的风险在体重类别中并不一致,仅在超重患者(BMI 25-29.9 kg/m2)中达到统计学意义。结论:在一个大型T2DM患者队列中,基线HbA1c水平升高并不能一致地预测不同BMI类别的全因死亡率和心血管死亡率的增加。
{"title":"Relationship between a single measurement at baseline of body mass index, glycated hemoglobin, and the risk of mortality and cardiovascular morbidity in type 2 diabetes mellitus.","authors":"Oliver Brown, Pierluigi Costanzo, Andrew L Clark, Gianluigi Condorelli, John G F Cleland, Thozhukat Sathyapalan, David Hepburn, Eric S Kilpatrick, Stephen L Atkin","doi":"10.1097/XCE.0000000000000202","DOIUrl":"https://doi.org/10.1097/XCE.0000000000000202","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to evaluate the relationship between a single measurement at baseline of body mass index (BMI), glycated hemoglobin (HbA1c) and subsequent clinical outcomes in patients with type 2 diabetes mellitus (T2DM).</p><p><strong>Method: </strong>Patients with T2DM were recruited from an outpatient diabetes clinic in a single large teaching hospital in Kingston upon Hull, UK. At baseline, demographics and HbA1c were recorded. Patients were categorized by BMI: normal weight (18.5-24.9 kg/m<sup>2</sup>), overweight (25-29.9 kg/m<sup>2</sup>), and obese (>30 kg/m<sup>2</sup>). Multivariable Cox regression models that included demographic, risk factors, and comorbidities were separately constructed for all-cause, cardiovascular, cancer and sepsis-related mortality, using four groups of HbA1c (<6%, 6.0-6.9%, 7.0-7.9%, and >8%).</p><p><strong>Results: </strong>In total, 6220 patients with T2DM (median age 62 years, 54% male) were followed for a median of 10.6 years. HbA1c levels >8.0% were associated with increased risk of all-cause mortality and cardiovascular death. However, this increased risk was not consistent across the weight categories and reached statistical significance only in overweight patients (BMI 25-29.9 kg/m<sup>2</sup>).</p><p><strong>Conclusions: </strong>In a large cohort of patients with T2DM elevated HbA1c levels at baseline did not consistently predict increased risk of all-cause and cardiovascular mortality across the different BMI categories.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 4","pages":"177-182"},"PeriodicalIF":2.3,"publicationDate":"2020-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673766/pdf/xce-9-177.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38641607","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}
Pub Date : 2020-05-25eCollection Date: 2020-12-01DOI: 10.1097/XCE.0000000000000201
Ahmad Al-Mrabeh
Type 2 diabetes has been regarded a complex multifactorial disease that lead to serious health complications including high cardiovascular risks. The twin cycle hypothesis postulated that both hepatic insulin resistance and dysfunction rather than death of beta (β) cell determine diabetes onset. Several studies were carried out to test this hypothesis, and all demonstrated that chronic excess calorie intake and ectopic fat accumulation within the liver and pancreas are fundamental to the development of this disease. However, these recent research advances cannot determine the exact cause of this disease. In this review, the major factors that contribute to the pathogenesis and remission of type 2 diabetes will be outlined. Importantly, the effect of disordered lipid metabolism, characterized by altered hepatic triglyceride export will be discussed. Additionally, the observed changes in pancreas morphology in type 2 diabetes will be highlighted and discussed in relation to β cell function.
{"title":"Pathogenesis and remission of type 2 diabetes: what has the twin cycle hypothesis taught us?","authors":"Ahmad Al-Mrabeh","doi":"10.1097/XCE.0000000000000201","DOIUrl":"10.1097/XCE.0000000000000201","url":null,"abstract":"<p><p>Type 2 diabetes has been regarded a complex multifactorial disease that lead to serious health complications including high cardiovascular risks. The twin cycle hypothesis postulated that both hepatic insulin resistance and dysfunction rather than death of beta (β) cell determine diabetes onset. Several studies were carried out to test this hypothesis, and all demonstrated that chronic excess calorie intake and ectopic fat accumulation within the liver and pancreas are fundamental to the development of this disease. However, these recent research advances cannot determine the exact cause of this disease. In this review, the major factors that contribute to the pathogenesis and remission of type 2 diabetes will be outlined. Importantly, the effect of disordered lipid metabolism, characterized by altered hepatic triglyceride export will be discussed. Additionally, the observed changes in pancreas morphology in type 2 diabetes will be highlighted and discussed in relation to β cell function.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 4","pages":"132-142"},"PeriodicalIF":1.3,"publicationDate":"2020-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673778/pdf/xce-9-132.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38631725","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}
Pub Date : 2020-05-18eCollection Date: 2020-12-01DOI: 10.1097/XCE.0000000000000203
Antoine Fakhry AbdelMassih, Reem Esmail, Hanan Zekri, Ahmed Kharabish, Khaled ElKhashab, Rahma Menshawey, Habiba-Allah Ismail, Peter Afdal, Erini Farid, Omneya Affifi
Introduction: Duchenne muscular dystrophy (DMD) is known to impact the subepicardial layer of the myocardium through chronic inflammation. Recent animal studies have shown predominant subendocardial involvement in rats with DMD. The primary outcome parameter was to determine by cardiovascular MRI (CMR) if two differential patterns of myocardial involvements exist in DMD; the secondary outcome parameters were to correlate the observed pattern with metabolic markers such as insulin resistance measures.
Methods: Forty patients with DMD were screened using CMR to determine which of them had predominantly subendocardial dysfunction (SENDO group), or subepicardial/midmyocardial involvement (SEPMI group). Patients were subjected to body mass index measurement, serum creatinine kinase, serum lactate dehydrogenase enzyme, fasting glucose-insulin ratio (FGIR), full lipid profile, left ventricular ejection fraction (LVEF), left ventricle E/E´ ratio (the ratio of early mitral inflow velocity to average early diastolic velocities of the basal septum and mitral annulus) for left ventricle diastolic function, and myocardial layer strain discriminating echocardiography (MLSD-STE). Results: 26 patients displayed SENDO while 34 displayed SEPMI. SENDO group displayed overt insulin resistance; (FGIR (SENDO: 7 ± 1 vs. SEPMI: 5 ± 1, P < 0.001). FGIR was negatively correlated with Subendocardial Global Longitudinal Strain (ENDO-LS) with r = -0.75.
Conclusion: DMD does not seem to influence the heart uniformly; DMD cardiomyopathy probably has two separate phenotypes with different mechanisms. Insulin resistance might be implicated in its pathogenesis and its reversal may help to slow disease progression.
杜氏肌营养不良症(DMD)是已知的通过慢性炎症影响心外膜下层的心肌。最近的动物研究显示DMD大鼠主要累及心内膜下。主要结局参数是通过心血管MRI (CMR)来确定DMD是否存在两种不同的心肌受累模式;次要结局参数是将观察到的模式与代谢标志物(如胰岛素抵抗测量)相关联。方法:对40例DMD患者进行CMR筛选,以确定其中哪些主要是心内膜下功能障碍(SENDO组),哪些主要是心外膜下/心肌中部受累(SEPMI组)。测量患者的体重指数、血清肌酐激酶、血清乳酸脱氢酶、空腹血糖-胰岛素比(fgil)、全血脂、左心室射血分数(LVEF)、左心室E/E´比值(二尖瓣早期血流速度与基隔和二尖瓣环平均早期舒张速度之比)、左心室舒张功能、心肌层应性超声心动图(MLSD-STE)。结果:SENDO 26例,SEPMI 34例。SENDO组表现出明显的胰岛素抵抗;(FGIR(有些制度:7±1与SEPMI: 5±1,P r = -0.75。结论:DMD对心脏的影响并不均匀;DMD心肌病可能有两种不同机制的独立表型。胰岛素抵抗可能与其发病机制有关,其逆转可能有助于减缓疾病进展。
{"title":"Revisiting the pathogenic role of insulin resistance in Duchenne muscular dystrophy cardiomyopathy subphenotypes.","authors":"Antoine Fakhry AbdelMassih, Reem Esmail, Hanan Zekri, Ahmed Kharabish, Khaled ElKhashab, Rahma Menshawey, Habiba-Allah Ismail, Peter Afdal, Erini Farid, Omneya Affifi","doi":"10.1097/XCE.0000000000000203","DOIUrl":"https://doi.org/10.1097/XCE.0000000000000203","url":null,"abstract":"<p><strong>Introduction: </strong>Duchenne muscular dystrophy (DMD) is known to impact the subepicardial layer of the myocardium through chronic inflammation. Recent animal studies have shown predominant subendocardial involvement in rats with DMD. The primary outcome parameter was to determine by cardiovascular MRI (CMR) if two differential patterns of myocardial involvements exist in DMD; the secondary outcome parameters were to correlate the observed pattern with metabolic markers such as insulin resistance measures.</p><p><strong>Methods: </strong>Forty patients with DMD were screened using CMR to determine which of them had predominantly subendocardial dysfunction (SENDO group), or subepicardial/midmyocardial involvement (SEPMI group). Patients were subjected to body mass index measurement, serum creatinine kinase, serum lactate dehydrogenase enzyme, fasting glucose-insulin ratio (FGIR), full lipid profile, left ventricular ejection fraction (LVEF), left ventricle E/E´ ratio (the ratio of early mitral inflow velocity to average early diastolic velocities of the basal septum and mitral annulus) for left ventricle diastolic function, and myocardial layer strain discriminating echocardiography (MLSD-STE). Results: 26 patients displayed SENDO while 34 displayed SEPMI. SENDO group displayed overt insulin resistance; (FGIR (SENDO: 7 ± 1 vs. SEPMI: 5 ± 1, <i>P</i> < 0.001). FGIR was negatively correlated with Subendocardial Global Longitudinal Strain (ENDO-LS) with <i>r</i> = -0.75.</p><p><strong>Conclusion: </strong>DMD does not seem to influence the heart uniformly; DMD cardiomyopathy probably has two separate phenotypes with different mechanisms. Insulin resistance might be implicated in its pathogenesis and its reversal may help to slow disease progression.</p>","PeriodicalId":43231,"journal":{"name":"Cardiovascular Endocrinology & Metabolism","volume":"9 4","pages":"165-170"},"PeriodicalIF":2.3,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/XCE.0000000000000203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38641605","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}