scholarly journals Clinical and metabolic predictors of regression to normoglycemia in a population at intermediate cardiometabolic risk

Author(s):  
Magdalena del Rocio Sevilla-Gonzalez ◽  
Jordi Merino ◽  
Hortensia Moreno ◽  
Rosalba Rojas-Martinez ◽  
Donaji Gomez-Velasco ◽  
...  

Abstract Background: Impaired fasting glucose (IFG) is a prevalent and potentially reversible intermediate stage leading to type 2 diabetes that increases risk for cardiometabolic complications. The identification of clinical and molecular factors associated with the reversal, or regression, from IFG to a normoglycemia state would enable more efficient cardiovascular risk reduction strategies. The aim of this study was to identify clinical and biological predictors of regression to normoglycemia in a non-European population that is characterized by increased type 2 diabetes conversion rates.Methods: We conducted a prospective, population-based study among 9,637 Mexican individuals using clinical features and plasma metabolites. Among them, 491 subjects were classified as IFG, defined as fasting glucose between 100 and 125 mg/dL. Regression to normoglycemia was defined by fasting glucose less than 100 mg/dL in the follow-up visit. Plasma metabolites were profiled by Nuclear Magnetic Resonance. Multivariable Cox regression models were used to examine the associations of clinical and metabolomic factors with regression to normoglycemia. We assessed the predictive capabilities to regress to normoglycemia of models that included clinical factors alone and models that included clinical factors and prioritized metabolites. Results: During a median follow-up period of 2.5 years, 22.6% of participants (n=111) regressed to normoglycemia, and 29.5% progressed to type 2 diabetes (n=145). The multivariate adjusted relative risk of regression to normoglycemia was 1.10 (95% confidence interval [CI], 1.25 to 1.32) per 10 years of age increase, 0.94 (95% CI, 0.91-0.98) per 1 SD increase in BMI, and 0.91 (95% CI, 0.88 – 0.95) per 1 SD increase in fasting glucose. A model including information from age, fasting glucose, and BMI showed a good prediction of regression to normoglycemia (AUC = 0.73 (95% CI, 0.66 - 0.78). Adding information from prioritized metabolites (TG in large HDL, albumin, and citrate) marginally improved the predictive capability beyond clinical factors (AUC = 0.74 (95% CI 0.68 - 0.80), p value = 0.485)Conclusion: In individuals with IFG, information from three clinical variables easily obtained in the clinical setting showed a good prediction of regression to normoglycemia beyond metabolomic features. Our findings can serve to inform and design future cardiovascular prevention strategies.

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Magdalena del Rocío Sevilla-González ◽  
Jordi Merino ◽  
Hortensia Moreno-Macias ◽  
Rosalba Rojas-Martínez ◽  
Donají Verónica Gómez-Velasco ◽  
...  

Abstract Background Impaired fasting glucose (IFG) is a prevalent and potentially reversible intermediate stage leading to type 2 diabetes that increases risk for cardiometabolic complications. The identification of clinical and molecular factors associated with the reversal, or regression, from IFG to a normoglycemia state would enable more efficient cardiovascular risk reduction strategies. The aim of this study was to identify clinical and biological predictors of regression to normoglycemia in a non-European population characterized by high rates of type 2 diabetes. Methods We conducted a prospective, population-based study among 9637 Mexican individuals using clinical features and plasma metabolites. Among them, 491 subjects were classified as IFG, defined as fasting glucose between 100 and 125 mg/dL at baseline. Regression to normoglycemia was defined by fasting glucose less than 100 mg/dL in the follow-up visit. Plasma metabolites were profiled by Nuclear Magnetic Resonance. Multivariable cox regression models were used to examine the associations of clinical and metabolomic factors with regression to normoglycemia. We assessed the predictive capability of models that included clinical factors alone and models that included clinical factors and prioritized metabolites. Results During a median follow-up period of 2.5 years, 22.6% of participants (n = 111) regressed to normoglycemia, and 29.5% progressed to type 2 diabetes (n = 145). The multivariate adjusted relative risk of regression to normoglycemia was 1.10 (95% confidence interval [CI] 1.25 to 1.32) per 10 years of age increase, 0.94 (95% CI 0.91–0.98) per 1 SD increase in BMI, and 0.91 (95% CI 0.88–0.95) per 1 SD increase in fasting glucose. A model including information from age, fasting glucose, and BMI showed a good prediction of regression to normoglycemia (AUC = 0.73 (95% CI 0.66–0.78). The improvement after adding information from prioritized metabolites (TG in large HDL, albumin, and citrate) was non-significant (AUC = 0.74 (95% CI 0.68–0.80), p value = 0.485). Conclusion In individuals with IFG, information from three clinical variables easily obtained in the clinical setting showed a good prediction of regression to normoglycemia beyond metabolomic features. Our findings can serve to inform and design future cardiovascular prevention strategies.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1040-1040
Author(s):  
Danielle Haslam ◽  
Jun Li ◽  
Marta Guasch-Ferre ◽  
Liming Liang ◽  
Clary B Clish ◽  
...  

Abstract Objectives Sugar-sweetened beverage (SSB) consumption is associated with a higher risk of type 2 diabetes (T2D), but the metabolic changes linking SSB consumption to T2D are not fully understood. Thus, we aimed to identify a plasma metabolomic signature of SSB consumption and evaluate its association with incident T2D. Methods We used liquid chromatography–mass spectrometry to measure plasma metabolites (>200) among 3,434 participants from three US cohorts: Nurses’ Health Study (NHS), NHS II, and Health Professionals Follow-up Study (HPFS). SSB consumption (servings/day; sodas, fruit punches, and other sugary drinks) was estimated from food frequency questionnaires. We used elastic net regression with 10-fold-cross-validation to identify metabolites associated with higher SSB consumption among a training set of participants (n = 2068) and replicated the association in a testing set (n = 1366). A metabolomic signature score was calculated as the weighted sum of SSB-associated metabolites. Pearson correlation (r) coefficients and 95% confidence intervals (CI) between the metabolomic signature and self-reported SSB consumption were calculated. We used multivariable Cox regression models to estimate hazard ratios (HR) and CI of the identified metabolomic signature with incident T2D among all participants. Results We identified an SSB plasma metabolomic signature of 71 metabolites, primarily lipids and amino acids. Pearson correlation (r) coefficients between self-reported SSBs and the plasma metabolomic signature were 0.18 (95% CI: 0.14, 0.22; P < 0.0001) and 0.19 (95% CI: 0.14, 0.24; P < 0.0001) in the training and testing sets, respectively. After a median follow-up of 22 years, the metabolomic signature was significantly associated with higher T2D risk [HR for quartile (Q) 1 versus 4 (95% CI): 1.45 (1.02, 2.05); P = 0.04] in models adjusting for factors related to demographics, lifestyle, diet, and body mass index. The association persisted when further adjusting for self-reported SSB consumption [HR for Q1 versus Q4 (95% CI): 1.42 (1.00, 2.02); P = 0.05]. Conclusions We identified a novel metabolomic signature of SSB consumption in US adults that associated with elevated incident T2D risk. This signature may reflect both SSB consumption and metabolic changes related to T2D risk, although residual confounding cannot be ruled out. Funding Sources NIH.


2020 ◽  
Author(s):  
Feifei Cheng ◽  
Andrea O Luk ◽  
Claudia HT Tam ◽  
Baoqi Fan ◽  
Hongjiang Wu ◽  
...  

<b>Objective</b>: Several studies support potential links between leukocyte relative telomere length (rLTL), a biomarker of biological aging and type 2 diabetes. This study investigates relationships between rLTL and subsequent cardiovascular disease (CVD) in patients with type 2 diabetes. <p><b>Research design and methods</b>: Consecutive Chinese patients with type 2 diabetes (N=5349) from the Hong Kong Diabetes Register with stored baseline DNA and available follow-up data were studied. rLTL was measured using quantitative polymerase chain reaction. CVD was diagnosed based on ICD-9 code.</p> <p><b>Results: </b>Mean (SD) follow-up was 13.4(5.5) years. rLTL was correlated inversely with age, diabetes duration, blood pressure, HbA<sub>1c</sub>, urine ACR and positively with eGFR (all P<0.001). Subjects with versus without CVD at baseline had shorter rLTL (4.3±1.2 vs. 4.6±1.2, P<0.001). Of the 4541 CVD-free subjects at baseline, the 1140 who developed CVD during follow-up had shorter rLTL than those remaining CVD-free after adjusting for age, sex, smoking and albuminuria status (4.3±1.2 vs. 4.7±1.2, P<0.001). In Cox regression models, shorter rLTL was associated with higher risk of incident CVD (hazard ratio (95% CI) for each unit decrease: 1.252 (1.195-1.311), P<0.001), which remained significant after adjusting for age, sex, BMI, SBP, LDL-C, HbA<sub>1c</sub>, eGFR and ACR (hazard ratio (95% CI): 1.141 (1.084-1.200), P<0.001).</p> <p><b>Conclusions: </b>rLTL is significantly shorter in type 2 diabetes patients with CVD, is associated with cardiometabolic risk factors, and is independently associated with incident CVD. Telomere length may be a useful biomarker for CVD risk in type 2 diabetes.</p> <b><br> </b>


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.


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.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Yun Zhu ◽  
Jiang He ◽  
Lyle G Best ◽  
Elisa T Lee ◽  
Barbara V Howard ◽  
...  

Background: Type 2 diabetes (T2D) is characterized by profound metabolic abnormalities. Current glycemic indicators have limitations in identifying early metabolic alterations. Objective: To identify novel metabolic predictors of T2D in American Indians participating in the Strong Heart Family Study. Methods: Among 2,129 participants who had normal fasting glucose (NFG) at baseline (2001-2003) and also attended clinical examination after 5-year follow-up (2006-2009), 142 developed incident T2D, 514 developed incident impaired fasting glucose (IFG), and 1,473 remained to be NFG. The current analysis included all incident cases of T2D (n=142), 146 incident IFG (randomly selected from 514 participants with incident IFG) and 144 NFG (randomly selected from 1,473 participants with NFG at both visits). Baseline plasma metabolites were detected by high-resolution LC/MS. The prospective association of each metabolite with risk for T2D or IFG was investigated using weighted Cox’s hazard regression with frailty model, adjusting for sex, study center, age, BMI, renal function, fasting glucose and fasting insulin at baseline. Multiple testing was corrected by Bonferroni correction (significance level 2.8х10-6). Results: Thirty-nine metabolites from several major fuel sources, including sugar amino acids, amino acids, lipids, alkaloids, alkylamines, carboxylic acids, steroids, and aromatic homomonocylic/heteropolycyclic compounds, significantly predicted future risk of T2D (10 metabolites), or IFG (27 metabolites), or both (2 metabolites). Of these, N1,N12-diacetylspermine and betanidin, respectively, were the strongest predictors for increased (HR=4.59, 95% CI, 2.55-8.24, P=3.49х10-7) and decreased risk of T2D (HR=0.38, 95% CI, 0.28-0.52, P=4.64х10-10). The corresponding strongest predictors for IFG were hexanoic acid (HR=2.34, 95% CI, 1.84-2.98, P=3.15х10-12) and l-palmitoylcarnitine (HR=0.26, 95% CI, 0.18-0.37, P=1.14х10-13), respectively. Two metabolites, betanidin and dopamine, significantly predicted future onset of both T2D (HR=0.38, 95% CI, 0.28,0.52, P=4.64х10-10 for betanidin; HR=2.48, 95% CI, 1.71-3.58, P=1.42х10-6 for dopamine) and IFG (HR=0.52, 95% CI, 0.43,0.62, P=1.35х10-12 for betanidin; HR=2.24, 95% CI, 1.73,2.89, P=5.79х10-10 for dopamine). Multiple unknown compounds were also independently associated with risk of T2D, IFG or both. Conclusions: This study identifies both novel and known metabolic alterations associated with risk of diabetes in American Indians, an ethnic group suffering from disproportionately high rates of T2D. The incomplete overlapping of metabolic profiles between T2D and IFG highlights differential metabolic states of diabetes development. Our results not only provide novel insights in disease pathogenesis but also valuable data on potential new targets for risk prediction and treatment.


2020 ◽  
Vol 8 (1) ◽  
pp. e001325 ◽  
Author(s):  
Ramachandran Rajalakshmi ◽  
Coimbatore Subramanian Shanthi Rani ◽  
Ulagamathesan Venkatesan ◽  
Ranjit Unnikrishnan ◽  
Ranjit Mohan Anjana ◽  
...  

IntroductionPrevious epidemiological studies have reported on the prevalence of diabetic kidney disease (DKD) and diabetic retinopathy (DR) from India. The aim of this study is to evaluate the effect of DKD on the development of new-onset DR and sight-threatening diabetic retinopathy (STDR) in Asian Indians with type 2 diabetes (T2D).Research design and methodsThe study was done on anonymized electronic medical record data of people with T2D who had undergone screening for DR and renal work-up as part of routine follow-up at a tertiary care diabetes center in Chennai, South India. The baseline data retrieved included clinical and biochemical parameters including renal profiles (serum creatinine, estimated glomerular filtration rate (eGFR) and albuminuria). Grading of DR was performed using the modified Early Treatment Diabetic Retinopathy Study grading system. STDR was defined as the presence of proliferative diabetic retinopathy (PDR) and/or diabetic macular edema. DKD was defined by the presence of albuminuria (≥30 µg/mg) and/or reduction in eGFR (<60 mL/min/1.73 m2). Cox regression analysis was used to evaluate the hazard ratio (HR) for DR and STDR.ResultsData of 19 909 individuals with T2D (mean age 59.6±10.2 years, mean duration of diabetes 11.1±12.1 years, 66.1% male) were analyzed. At baseline, DR was present in 7818 individuals (39.3%), of whom 2249 (11.3%) had STDR. During the mean follow-up period of 3.9±1.9 years, 2140 (17.7%) developed new-onset DR and 980 individuals with non-proliferative DR (NPDR) at baseline progressed to STDR. Higher serum creatinine (HR 1.5, 95% CI 1.3 to 1.7; p<0.0001), eGFR <30 mL/min/1.73 m2 (HR 4.9, 95% CI 2.9 to 8.2; p<0.0001) and presence of macroalbuminuria >300 µg/mg (HR 3.0, 95% CI 2.4 to 3.8; p<0.0001) at baseline were associated with increased risk of progression to STDR.ConclusionsDKD at baseline is a risk factor for progression to STDR. Physicians should promptly refer their patients with DKD to ophthalmologists for timely detection and management of STDR.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
You-Bin Lee ◽  
Kyungdo Han ◽  
Bongsung Kim ◽  
Seung-Eun Lee ◽  
Ji Eun Jun ◽  
...  

Abstract Background Both type 1 and type 2 diabetes are well-established risk factors for cardiovascular disease and early mortality. However, few studies have directly compared the hazards of cardiovascular outcomes and premature death among people with type 1 diabetes to those among people with type 2 diabetes and subjects without diabetes. Furthermore, information about the hazard of cardiovascular disease and early mortality among Asians with type 1 diabetes is sparse, although the clinical and epidemiological characteristics of Asians with type 1 diabetes are unlike those of Europeans. We estimated the hazard of myocardial infarction (MI), hospitalization for heart failure (HF), atrial fibrillation (AF), and mortality during follow-up in Korean adults with type 1 diabetes compared with those without diabetes and those with type 2 diabetes. Methods We used Korean National Health Insurance Service datasets of preventive health check-ups from 2009 to 2016 in this retrospective longitudinal study. The hazard ratios of MI, HF, AF, and mortality during follow-up were analyzed using the Cox regression analyses according to the presence and type of diabetes in ≥ 20-year-old individuals without baseline cardiovascular disease (N = 20,423,051). The presence and type of diabetes was determined based on the presence of type 1 or type 2 diabetes at baseline. Results During more than 93,300,000 person-years of follow-up, there were 116,649 MIs, 135,532 AF cases, 125,997 hospitalizations for HF, and 344,516 deaths. The fully-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident MI, hospitalized HF, AF, and all-cause death within the mean follow-up of 4.6 years were higher in the type 1 diabetes group than the type 2 diabetes [HR (95% CI) 1.679 (1.490–1.893) for MI; 2.105 (1.901–2.330) for HF; 1.608 (1.411–1.833) for AF; 1.884 (1.762–2.013) for death] and non-diabetes groups [HR (95% CI) 2.411 (2.138–2.718) for MI; 3.024 (2.730–3.350) for HF; 1.748 (1.534–1.993) for AF; 2.874 (2.689–3.073) for death]. Conclusions In Korea, the presence of diabetes was associated with a higher hazard of cardiovascular disease and all-cause death. Specifically, people with type 1 diabetes had a higher hazard of cardiovascular disease and all-cause mortality compared to people with type 2 diabetes.


Diabetologia ◽  
2019 ◽  
Vol 62 (12) ◽  
pp. 2298-2309 ◽  
Author(s):  
Ari V. Ahola-Olli ◽  
Linda Mustelin ◽  
Maria Kalimeri ◽  
Johannes Kettunen ◽  
Jari Jokelainen ◽  
...  

Abstract Aims/hypothesis Metabolomics technologies have identified numerous blood biomarkers for type 2 diabetes risk in case−control studies of middle-aged and older individuals. We aimed to validate existing and identify novel metabolic biomarkers predictive of future diabetes in large cohorts of young adults. Methods NMR metabolomics was used to quantify 229 circulating metabolic measures in 11,896 individuals from four Finnish observational cohorts (baseline age 24–45 years). Associations between baseline metabolites and risk of developing diabetes during 8–15 years of follow-up (392 incident cases) were adjusted for sex, age, BMI and fasting glucose. Prospective metabolite associations were also tested with fasting glucose, 2 h glucose and HOMA-IR at follow-up. Results Out of 229 metabolic measures, 113 were associated with incident type 2 diabetes in meta-analysis of the four cohorts (ORs per 1 SD: 0.59–1.50; p< 0.0009). Among the strongest biomarkers of diabetes risk were branched-chain and aromatic amino acids (OR 1.31–1.33) and triacylglycerol within VLDL particles (OR 1.33–1.50), as well as linoleic n-6 fatty acid (OR 0.75) and non-esterified cholesterol in large HDL particles (OR 0.59). The metabolic biomarkers were more strongly associated with deterioration in post-load glucose and insulin resistance than with future fasting hyperglycaemia. A multi-metabolite score comprised of phenylalanine, non-esterified cholesterol in large HDL and the ratio of cholesteryl ester to total lipid in large VLDL was associated with future diabetes risk (OR 10.1 comparing individuals in upper vs lower fifth of the multi-metabolite score) in one of the cohorts (mean age 31 years). Conclusions/interpretation Metabolic biomarkers across multiple molecular pathways are already predictive of the long-term risk of diabetes in young adults. Comprehensive metabolic profiling may help to target preventive interventions for young asymptomatic individuals at increased risk.


2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Michelangela Barbieri ◽  
Maria Rosaria Rizzo ◽  
Ilaria Fava ◽  
Celestino Sardu ◽  
Nicola Angelico ◽  
...  

Background. We investigated the predictive value of morning blood pressure surge (MBPS) on the development of microalbuminuria in normotensive adults with a recent diagnosis of type 2 diabetes.Methods. Prospective assessments of 24-hour ambulatory blood pressure monitoring and urinary albumin excretion were performed in 377 adult patients. Multivariate-adjusted Cox regression models were used to assess hazard ratios (HRs) between baseline and changes over follow-up in MBPS and the risk of microalbuminuria. The MBPS was calculated as follows: mean systolic BP during the 2 hours after awakening minus mean systolic BP during the 1 hour that included the lowest sleep BP.Results. After a mean follow-up of 6.5 years, microalbuminuria developed in 102 patients. An increase in MBPB during follow-up was associated with an increased risk of microalbuminuria. Compared to individuals in the lowest tertile (−0.67±1.10 mmHg), the HR and 95% CI for microalbuminuria in those in the highest tertile of change (24.86±6.92 mmHg) during follow-up were 17.41 (95% CI 6.26–48.42);pfor trend <0.001. Mean SD MBPS significantly increased in those who developed microalbuminuria from a mean [SD] of 10.6[1.4]to 36.8[7.1],p<0.001.Conclusion. An increase in MBPS is associated with the risk of microalbuminuria in normotensive adult patients with type 2 diabetes.


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