Effects of fasting blood glucose levels and blood pressure and treatment of diabetes and hypertension on the incidence of cardiovascular disease: a study of 740 patients with incident Type 2 diabetes with up to 30 years' follow-up

2014 ◽  
Vol 31 (9) ◽  
pp. 1055-1063 ◽  
Author(s):  
S. P. O. Jansson ◽  
K. Svärdsudd ◽  
D. K. G. Andersson
2019 ◽  
Vol 15 (1) ◽  
pp. 95-102
Author(s):  
Rida J. Al-Basri

Background: Surgery is one and may be the most effective method to treat obesity. In the last decade, Laparoscopic Sleeve Gastrectomy is perceived to be less invasive, technically simple, less morbid and more popular form of bariatric surgery. Objectives: This study aims to assess the effect of Laparoscopic Sleeve Gastrectomy on Fasting Blood Glucose Levels and Blood Pressure.  Methods: A prospective controlled study in which 50 obese patients were involved, 36 of patients have hypertension and type 2 diabetes mellitus , 7 patients have type 2 diabetes mellitus only, and 7 patients don’t have hypertension or type 2 diabetes. All patients were submitted to Laparoscopic Sleeve Gastrectomy at Al-Kindy Teaching Hospital between October 2014 and October 2016. Results: Forty five of patients were females, while five were males . Mean age was 34 years, mean height 159 cm mean pre Laparoscopic Sleeve Gastrectomy weight was 121kg. Mean post- Laparoscopic Sleeve Gastrectomy weight was 82kg. Mean weight loss outcome at 1 year follow-up is 32.23% of total body weight. . Preoperative initial mean value of fasting blood glucose was 157.4 mg/dL and the declining occurred at 12 months after Laparoscopic Sleeve Gastrectomy was 97 mg/dL . The hypertension remission rates 1 year after Laparoscopic Sleeve Gastrectomy ranges up to 54% of total number of patients and 75% of those with Hypertension. Conclusions: Laparoscopic Sleeve Gastrectomy has an effect in improving Fasting Blood Glucose Levels and Blood Pressure.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
K Wang ◽  
F Ahmadizar ◽  
B Arshi ◽  
J Kors ◽  
A Ikram ◽  
...  

Abstract Background Hyperglycemia and autonomic dysfunction are bidirectionally related. The implications from former cross-sectional studies regarding the association of autonomic dysfunction and diabetes are limited due to the potential reverse causation. We aimed to investigate the association of longitudinal evolution of heart rate variability (HRV) with incident type 2 diabetes mellitus (T2D) among the general population. Methods Using data from the prospective population-based cohort study, 7630 participants with available repeated assessments of HRV, who were free of T2D and atrial fibrillation, were included. Measurements of HRV were analyzed from standard 10-s electrocardiograms records, including heart rate and two time-domain HRV markers: the heart-rate corrected standard deviation of the normal-to-normal RR intervals (SDNNc) and heart-rate corrected root mean square of successive RR-interval differences (RMSSDc). Joint models with the Bayes approach were performed to assess the associations between longitudinal evolutions of heart rate and different HRV metrics with incident T2D during follow-up. Models were adjusted for age, sex, body mass index, smoking status, systolic blood pressure, total and high-density lipoprotein cholesterol, use of blood pressure-lowering or lipid-lowering medication, and prevalent cardiovascular disease. Spearmen correlation was used to examine the associations between HRV metrics and glycemic traits (fasting blood glucose, insulin, and homeostatic model assessment of insulin resistance (HOMA-IR) and beta-cell function (HOMA-β)) at baseline. Results During a median follow-up time of 8.6 years, 871 individuals developed T2D. Based on joint models, one standard deviation (SD) increment of heart rate (hazard ratio [HR], 1.21; 95% CI, 1.09–1.34), log(SDNNc) (HR, 1.10; 95% CI, 0.94–1.27), and log(RMSSDc) (HR, 1.15; 95% CI, 1.02–1.31) was associated with the risk of developing T2D in fully-adjusted models. Subgroup analyses suggested stronger associations among men. The HRs of incident T2D per SD increment were 1.25 (1.09, 1.43) for men and 1.16 (0.99, 1.35) for women for heart rate, 1.23 (1.01, 1.51) for men and 0.97 (0.78, 1.20) for women for log(SDNNc), and 1.24 (1.05, 1.48) for men and 1.09 (0.89, 1.31) for women for log(RMSSDc). Results did not change after excluding participants who were prediabetes at baseline or after exclusion of underweight participants. Spearmen correlation indicated that heart rate was significantly associated with baseline glycemic traits, while RMSSDc was only related to fasting blood glucose. Conclusion Our study suggests that both higher heart rate and heart rate variability are associated with an increased risk of T2D development, especially among men. FUNDunding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Erasmus MC and Erasmus University Rotterdam; Netherlands Organization for Scientific Research; Netherlands Organization for Health Research and Development (ZonMw); Research Institute for Diseases in the Elderly; Netherlands Genomics Initiative; Netherlands Ministry of Education, Culture and Science; Netherlands Ministry of Health, Welfare and Sports; European Commission; and Municipality of Rotterdam. We would like to thank the China Scholarship Council for the scholarship to K.W. Forest plot


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Henderikus E. Boersma ◽  
Robert P. van Waateringe ◽  
Melanie M. van der Klauw ◽  
Reindert Graaff ◽  
Andrew D. Paterson ◽  
...  

Abstract Background Skin autofluorescence (SAF) is a non-invasive marker of tissue accumulation of advanced glycation endproducts (AGE). Recently, we demonstrated in the general population that elevated SAF levels predict the development of type 2 diabetes (T2D), cardiovascular disease (CVD) and mortality. We evaluated whether elevated SAF may predict the development of CVD and mortality in individuals with T2D. Methods We included 2349 people with T2D, available baseline SAF measurements (measured with the AGE reader) and follow-up data from the Lifelines Cohort Study. Of them, 2071 had no clinical CVD at baseline. 60% were already diagnosed with diabetes (median duration 5, IQR 2–9 years), while 40% were detected during the baseline examination by elevated fasting blood glucose ≥7.0 mmol/l) and/or HbA1c ≥6.5% (48 mmol/mol). Results Mean (±SD) age was 57 ± 12 yrs., BMI 30.2 ± 5.4 kg/m2. 11% of participants with known T2D were treated with diet, the others used oral glucose-lowering medication, with or without insulin; 6% was using insulin alone. Participants with known T2D had higher SAF than those with newly-detected T2D (SAF Z-score 0.56 ± 0.99 vs 0.34 ± 0.89 AU, p < 0.001), which reflects a longer duration of hyperglycaemia in the former group. Participants with existing CVD and T2D had the highest SAF Z-score: 0.78 ± 1.25 AU. During a median follow-up of 3.7 yrs., 195 (7.6%) developed an atherosclerotic CVD event, while 137 (5.4%) died. SAF was strongly associated with the combined outcome of a new CVD event or mortality (OR 2.59, 95% CI 2.10–3.20, p < 0.001), as well as incidence of CVD (OR 2.05, 95% CI 1.61–2.61, p < 0.001) and death (OR 2.98, 2.25–3.94, p < 0.001) as a single outcome. In multivariable analysis for the combined endpoint, SAF retained its significance when sex, systolic blood pressure, HbA1c, total cholesterol, eGFR, as well as antihypertensive and statin medication were included. In a similar multivariable model, SAF was independently associated with mortality as a single outcome, but not with incident CVD. Conclusions Measuring SAF can assist in prediction of incident cardiovascular disease and mortality in individuals with T2D. SAF showed a stronger association with future CVD events and mortality than cholesterol or blood pressure levels.


2021 ◽  
Author(s):  
Mei Jiao Li ◽  
Jing Ren ◽  
Wei Sen Zhang ◽  
Chao Qiang Jiang ◽  
Ya Li Jin ◽  
...  

Abstract Background To examine associations of baseline alcohol drinking with incident type 2 diabetes or impaired fasting glucose, and explore whether the associations were modified by genetic polymorphisms of aldehyde dehydrogenase-2 (ALDH2) and alcohol dehydrogenase-1B (ADH1B).Methods Information of alcohol consumption was collected at baseline from 2003 to 2008. Incident type 2 diabetes was defined as fasting glucose ≥7.0 mmol/l or post-load glucose ≥11.1 mmol/l at follow-up examination (2008-2012), self-reported type 2 diabetes and/or initiation of hypoglycemia medication or insulin during follow-up. Impaired fasting glucose was defined as fasting glucose ≥5.6 mmol/l and <7 mmol/l. Results Of 15,716 participants without diabetes and 11,232 participants without diabetes and impaired fasting glucose at baseline, 1,624 (10.33%) developed incident type 2 diabetes, and 1,004 (8.94%) developed incident impaired fasting glucose during average 4 years of follow-up. After adjusting for sex, age, education, occupation, personal annual income, smoking, physical activity, body mass index, waist/hip ratio, health status, family history of diabetes, compared with never drinking, occasional or moderate alcohol drinking was not associated with risk of incident type 2 diabetes+impaired fasting glucose (odds ratio (OR) 1.08, 95% confidence interval (CI) 0.94-1.25, and 0.89 (0.68-1.16), respectively), but heavy alcohol drinking was associated with a higher risk of incident type 2 diabetes+impaired fasting glucose (1.83, 1.25-2.69). No interactions of sex, overweight/obesity and genetic polymorphisms of ADH1B or ALDH2 genes with alcohol drinking on incident type 2 diabetes and/or impaired fasting glucose were found (p for interaction from 0.12 to 0.81). Conclusions Our results support a detrimental effect of heavy alcohol use on impaired fasting glucose and type 2 diabetes. No protective effect was found for those carrying lower risk alleles for ADH1B and ALDH2 genes.


2021 ◽  
Author(s):  
Chaterina Sujana ◽  
Veikko Salomaa ◽  
Frank Kee ◽  
Simona Costanzo ◽  
Stefan Söderberg ◽  
...  

<p><b>Objective: </b>Natriuretic peptide (NP) concentrations are increased in cardiovascular diseases (CVD) but are associated with a lower diabetes risk. We investigated associations of N-terminal pro-B-type NP (NT-proBNP) and mid-regional pro-atrial NP (MR-proANP) with incident type 2 diabetes stratified by the presence of CVD. </p> <p><b> </b></p> <p><b>Research Design and Methods:</b> Based on the Biomarkers for Cardiovascular Risk Assessment in Europe-(BiomarCaRE) Consortium, we included 45,477 participants with NT-proBNP measurements (1,707 developed type 2 diabetes over 6.5 years of median follow-up; among these, 209 had CVD at baseline) and 11,537 participants with MR-proANP measurements (857 developed type 2 diabetes over 13.8 years of median follow-up; among these, 106 had CVD at baseline). The associations were estimated using multivariable Cox regression models. </p> <p> </p> <p><b>Results: </b>Both NPs were inversely associated with incident type 2 diabetes (hazard ratios [95%CI] per 1-standard deviation increase of log NP: 0.84 [0.79; 0.89] for NT-proBNP and 0.77 [0.71; 0.83] for MR-proANP). The inverse association between NT-proBNP and type 2 diabetes was significant in individuals without, but not in individuals with CVD (0.81 [0.76; 0.86] vs 1.04 [0.90; 1.19]; <i>P</i>-multiplicative interaction= 0.001). There was no significant difference in the association of MR-proANP with type 2 diabetes between individuals without and with CVD (0.75 [0.69; 0.82] vs 0.81 [0.66; 0.99]; <i>P</i>-multiplicative interaction= 0.236). </p> <p> </p> <p><b>Conclusions:</b> NT-proBNP and MR-proANP are inversely associated with incident type 2 diabetes. However, the inverse association of NT-proBNP seems to be modified by the presence of CVD. Further investigations are warranted to confirm our findings and to investigate the underlying mechanisms.</p>


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Duck-chul Lee ◽  
Carl J. Lavie ◽  
Timothy S. Church ◽  
Xuemei Sui ◽  
Steven N. Blair

Introduction: There is still little evidence on the dose-response relation between leisure-time running and incident type 2 diabetes (T2D). Hypothesis: We examined the hypothesis that running reduces the risk of developing T2D. Methods: Participants were 19,347 adults aged 18 to 100 years (mean age, 44) who received an extensive preventive medical examination during 1974-2006 in the Aerobics Center Longitudinal Study. Participants were free of cardiovascular disease, cancer, and T2D at baseline. Running and other physical activities were assessed on the medical history questionnaire by self-reported leisure-time activities during the past 3 months. We defined T2D as fasting glucose ≥126 mg/dl, insulin use, or physician-diagnosis during follow-up medical examinations. Cox regression was used to quantify the association between running and T2D after adjusting for baseline age, sex, examination year, body mass index, smoking status, heavy alcohol drinking, abnormal electrocardiogram, hypertension, hypercholesterolemia, and levels of other physical activities. Results: During an average follow-up of 6.5 years, 1,015 adults developed T2D. Approximately 30% of adults participated in leisure-time running. Runners had a 29% lower risk of developing T2D compared with non-runners. The hazard ratios (95% confidence intervals) of T2D were 0.97 (0.74-1.27), 0.66 (0.49-0.89), 0.62 (0.45-0.85), 0.78 (0.58-1.03), and 0.57 (0.42-0.79) across quintiles (Q) of running time (minutes/week); 0.99 (0.76-1.30), 0.60 (0.44-0.82), 0.72 (0.55-0.94), 0.65 (0.47-0.90), and 0.63 (0.47-0.86) across Q of running distance (miles/week); 1.08 (0.83-1.40), 0.67 (0.50-0.90), 0.70 (0.53-0.93), 0.61 (0.45-0.83), and 0.53 (0.36-0.76) across Q of running frequency (times/week); 0.95 (0.73-1.24), 0.70 (0.52-0.94), 0.62 (0.45-0.84), 0.73 (0.55-0.97), and 0.58 (0.42-0.80) across Q of total amount of running (MET-minutes/week); and 0.95 (0.71-1.28), 0.76 (0.59-0.99), 0.59 (0.42-0.83), 0.66 (0.51-0.85), and 0.62 (0.43-0.90) across Q of running speed (mph), respectively, compared with no running after adjusting for confounders including levels of other physical activities. Conclusions: Participating in leisure-time running is associated with markedly lower risk of developing T2D in adults. Except for those in the very lowest Q for running doses, even relatively low running doses (starting with Q 2) were associated with marked reductions in T2D risk over time, supporting the prescription of running to reduce T2D.


2020 ◽  
Vol 8 (1) ◽  
pp. e001187
Author(s):  
You-Bin Lee ◽  
Da Hye Kim ◽  
Eun Roh ◽  
So-Hyeon Hong ◽  
Jung A Kim ◽  
...  

ObjectiveVariability in estimated glomerular filtration rate (eGFR) has been associated with adverse outcomes in patients with diabetes or chronic kidney disease (CKD). However, no previous study has explored the relationship between eGFR variability and type 2 diabetes incidence.Research design and methodsIn this nationwide, longitudinal, cohort study, we investigated the association between eGFR variability and type 2 diabetes risk using the Korean National Health Insurance Service datasets from 2002 to 2017. eGFR variability was calculated using the variability independent of the mean (eGFR-VIM), coefficient of variation (eGFR-CV), standard deviation (eGFR-SD) and average real variability (eGFR-ARV).ResultsWithin 7 673 905.58 person-years of follow-up (mean follow-up: 3.19 years; n=2 402 668), 11 981 cases of incident type 2 diabetes were reported. The HRs and 95% CIs for incident type 2 diabetes increased according to advance in quartiles of eGFR-VIM (HR (95% CI): Q2, 1.068 (1.009 to 1.130); Q3, 1.077 (1.018 to 1.138); Q4, 1.203 (1.139 to 1.270)) even after adjusting for confounding factors including mean eGFR and mean fasting plasma glucose levels. The subgroup analyses according to risk factors as well as analyses using eGFR-CV, eGFR-SD and eGFR-ARV showed consistent results. The association between increased eGFR variability and type 2 diabetes risk was more prominent in men, individuals with dyslipidemia and those with CKD as shown in the subgroup analysis (p for interaction <0.001).ConclusionsIncreased eGFR variability may be an independent predictor of type 2 diabetes and might be useful for risk stratification of individuals without diabetes.


Diabetes Care ◽  
2014 ◽  
Vol 37 (7) ◽  
pp. 1900-1909 ◽  
Author(s):  
Nick Wlazlo ◽  
Marleen M.J. van Greevenbroek ◽  
Isabel Ferreira ◽  
Edith J.M. Feskens ◽  
Carla J.H. van der Kallen ◽  
...  

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