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- Willeit, Peter, et al.
(författare)
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Natriuretic peptides and integrated risk assessment for cardiovascular disease : an individual-participant-data meta-analysis
- 2016
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Ingår i: The Lancet Diabetes and Endocrinology. - : Elsevier. - 2213-8587 .- 2213-8595. ; 4:10, s. 840-849
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Tidskriftsartikel (refereegranskat)abstract
- Background: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment. Methods: In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie, <5%, 5% to <7.5%, and >= 7.5%), adding assessment of NT-proBNP concentration to that of conventional risk factors (ie, age, sex, smoking status, systolic blood pressure, history of diabetes, and total and HDL cholesterol concentrations). Primary outcomes were the combination of coronary heart disease and stroke, and the combination of coronary heart disease, stroke, and heart failure. Findings: We recorded 5500 coronary heart disease, 4002 stroke, and 2212 heart failure outcomes among 95617 participants without a history of cardiovascular disease in 40 prospective studies. Risk ratios (for a comparison of the top third vs bottom third of NT-proBNP concentrations, adjusted for conventional risk factors) were 1.76 (95% CI 1.56-1.98) for the combination of coronary heart disease and stroke and 2.00 (1.77-2.26) for the combination of coronary heart disease, stroke, and heart failure. Addition of information about NT-proBNP concentration to a model containing conventional risk factors was associated with a C-index increase of 0.012 (0.010-0.014) and a net reclassification improvement of 0.027 (0.019-0.036) for the combination of coronary heart disease and stroke and a C-index increase of 0.019 (0.016-0.022) and a net reclassification improvement of 0.028 (0.019-0.038) for the combination of coronary heart disease, stroke, and heart failure. Interpretation: In people without baseline cardiovascular disease, NT-proBNP concentration assessment strongly predicted first-onset heart failure and augmented coronary heart disease and stroke prediction, suggesting that NT-proBNP concentration assessment could be used to integrate heart failure into cardiovascular disease primary prevention.
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- Agnoletti, Davide, et al.
(författare)
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Microbiota, Diet, Oral Health and Vascular Aging
- 2024. - 2
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Ingår i: Early Vascular Aging (EVA) : New Directions in Cardiovascular Protection - 2nd Edition - New Directions in Cardiovascular Protection - 2nd Edition. - 9780443155123
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Bokkapitel (refereegranskat)
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- Kristensen, Frederik Pagh Bredahl, et al.
(författare)
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The Prevalence of Polyneuropathy in Type 2 Diabetes Subgroups Based on HOMA2 Indices of b-Cell Function and Insulin Sensitivity
- 2023
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Ingår i: Diabetes Care. - 0149-5992. ; 46:8, s. 1546-1555
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE Metabolic syndrome components may cumulatively increase the risk of diabetic polyneuropathy (DPN) in type 2 diabetes mellitus (T2DM) patients, driven by insulin resistance and hyperinsulinemia. We investigated the prevalence of DPN in three T2DM subgroups based on indices of b-cell function and insulin sensitivity. RESEARCH DESIGN AND METHODS We estimated b-cell function (HOMA2-B) and insulin sensitivity (HOMA2-S) in 4,388 Danish patients with newly diagnosed T2DM. Patients were categorized into subgroups of hyperinsulinemic (high HOMA2-B, low HOMA2-S), classical (low HOMA2-B, low HOMA2-S), and insulinopenic (low HOMA2-B, high HOMA2-S) T2DM. After a median follow-up of 3 years, patients filled the Michigan Neuropathy Screening Instrument questionnaire (MNSIq) to identify DPN (score ‡ 4). We used Poisson regression to calculate adjusted prevalence ratios (PRs) for DPN, and spline models to examine the association with HOMA2-B and HOMA2-S. RESULTS A total of 3,397 (77%) patients filled in the MNSIq. The prevalence of DPN was 23% among hyperinsulinemic, 16% among classical, and 14% among insulinopenic pa-tients. After adjusting for demographics, diabetes duration and therapy, lifestyle behaviors, and metabolic syndrome components (waist circumference, triglycer-ides, HDL cholesterol, hypertension, and HbA1c), the PR of DPN was 1.35 (95% CI 1.15–1.57) for the hyperinsulinemic compared with the classical patients. In spline analyses, we observed a linear relation of higher DPN prevalence with increasing HOMA2-B, independent of both metabolic syndrome components and HOMA2-S. CONCLUSIONS Hyperinsulinemia marked by high HOMA2-B is likely an important risk factor for DPN beyond metabolic syndrome components and insulin resistance. This should be considered when developing interventions to prevent DPN.
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- Nielsen, Mette Lundgren, et al.
(författare)
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Follow-up duration influences the relative importance of OGTT and optimal timing of glucose measurements for predicting future type 2 diabetes.
- 2016
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Ingår i: European Journal of Endocrinology. - 1479-683X. ; 174:5, s. 591-600
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To examine the impact of follow-up duration on the incremental prognostic yield of a baseline oral glucose tolerance test (OGTT) for predicting type 2 diabetes and to assess the discrimination ability of blood glucose (BG) obtained at different time points during OGTT. DESIGN: Prospective, population-based cohort study (Malmö Preventive Project) with subject inclusion 1974-1992. METHODS: 5,256 men without diabetes, who had BG measured at 0, 20, 40, 60, 90, and 120 min during OGTT (30 g/m2 glucose), were followed for 30 years. Incident type 2 diabetes was recorded using registries. Performance of OGTT added to a clinical prediction model (age, body mass index (BMI), diastolic blood pressure, fasting BG, triglycerides, and family history of diabetes) was assessed using Harrell's concordance index (C-index) and integrated discrimination improvement (IDI). RESULTS: Median age was 48 years, mean BMI 24.9 kg/m2, and mean fasting BG 4.7 mmol/L. Models with added postload BG performed better than the clinical model (C-index: p=0.08 for BG at 120 min at 5 years, otherwise p≤0.045; IDI: p≥0.06 for BG at 60 and 90 min at 5 years, otherwise p≤0.01). With longer follow-up duration, C-index decreased, and the C-index increase associated with OGTT was attenuated. Models including BG at 60 or 90 min performed significantly better than the model with BG at 120 min, evident beyond follow-up of 10 and 5 years, respectively. CONCLUSIONS: OGTT provided incremental prognostic yield for type 2 diabetes prediction. BG measured at 60 or 90 min provided better discrimination than BG at 120 min.
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- Olsen, Michael Hecht, et al.
(författare)
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Effects of losartan compared with atenolol on lipids in patients with hypertension and left ventricular hypertrophy : the losartan intervention for endpoint reduction in hypertension (LIFE) study
- 2009
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Ingår i: Journal of Hypertension. - 0263-6352 .- 1473-5598. ; 27:3, s. 567-574
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Beta-blockers and angiotensin II receptor blockers have different effects on lipids. Methods: We examined lipid levels in the Losartan Intervention For Endpoint reduction in hypertension study and their impact on the primary composite endpoint of cardiovascular death, myocardial infarction, or stroke. We measured total and high-density lipoprotein cholesterol at baseline and annually during 4.8 years of losartan-based compared with atenolol-based treatment in 8611 patients with hypertension and left ventricular hypertrophy. Results: Patients randomized to losartan-based or atenolol-based treatment had similar baseline total (6.04 ± 1.12 vs. 6.05 ± 1.13 mmol/l, NS) and high-density lipoprotein (HDL) cholesterol (1.50 ± 0.44 vs. 1.49 ± 0.44 mmol/l, NS). Total cholesterol decreased significantly but equally (-0.37 ± 1.05 vs. -0.34 ± 1.09 mmol/l, NS), whereas HDL cholesterol decreased less during the first 2 years in patients randomized to losartan compared with atenolol (-0.13 ± 0.24 vs. -0.19 ± 0.25 mmol/l) and remained higher each year (1.38, 1.37, 1.42, 1.47, and 1.48 mmol/l vs. 1.32, 1.30, 1.36, 1.40, and 1.42 mmol/l, all P < 0.001) independent of hydrochlorothiazide or statin treatment. In Cox regression analysis, baseline total cholesterol [hazard ratio (HR) = 1.08 (1.02–1.14) per mmol/l, P < 0.01], HDL cholesterol [HR = 0.56 (0.48–0.66) per mmol/l, P < 0.001], and treatment allocation [HR = 0.86 (0.76–0.98), P < 0.05] predicted composite endpoint independently. Using time-varying analyses, the predictive strength of HDL cholesterol was increased [HR = 0.36 (0.30–0.44) per mmol/l, P < 0.001], whereas that of total cholesterol [HR = 1.03 (0.97–1.09) per mmol/l, NS] and treatment allocation [HR = 0.91 (0.80–1.03), NS] were reduced. Conclusion: Losartan blunted the decrease in HDL cholesterol during antihypertensive treatment in the LIFE study. Higher intreatment HDL cholesterol was associated with fewer composite endpoints and may partly explain the better outcome of losartan-based treatment.
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