Literature DB >> 22837366

Increased pulse pressure independently predicts incident atrial fibrillation in patients with type 2 diabetes.

Filippo Valbusa1, Stefano Bonapace, Lorenzo Bertolini, Luciano Zenari, Guido Arcaro, Giovanni Targher.   

Abstract

OBJECTIVE: To examine whether baseline pulse pressure (PP), a marker of arterial stiffness, is associated with subsequent development of atrial fibrillation (AF) in type 2 diabetes. RESEARCH DESIGN AND METHODS: A total of 350 type 2 diabetic patients, who were free from AF at baseline, were followed for 10 years. A standard electrocardiogram was performed annually and a diagnosis of incident AF was confirmed in affected participants by a single cardiologist.
RESULTS: During the follow-up, 32 patients (9.1% of total) developed incident AF. After adjustments for age, sex, BMI, diabetes duration, presence of left ventricular hypertrophy, hypertension treatment, kidney dysfunction, and pre-existing history of coronary heart disease, heart failure, and mild valvular disease, baseline PP was associated with an increased incidence of AF (adjusted odds ratio 1.76 for each SD increment [95% CI 1.1-2.8]; P < 0.01).
CONCLUSIONS: Our findings suggest that increased PP independently predicts incident AF in patients with type 2 diabetes.

Entities:  

Mesh:

Year:  2012        PMID: 22837366      PMCID: PMC3476925          DOI: 10.2337/dc12-0314

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Atrial fibrillation (AF) is the most common sustained arrhythmia and contributes to substantial increases in morbidity and mortality (1–3). Increased pulse pressure (PP), a marker of arterial stiffness, has been reported to be an important predictor of new-onset AF in U.S. adults, independently of several clinical AF risk factors (4). In this prospective, observational study, we tested the hypothesis that baseline PP predicts subsequent development of incident AF in patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

A total of 350 type 2 diabetic outpatients, who were free from AF at baseline, were followed for 10 years. They were randomly selected among those who regularly attended our diabetes clinic during 2000–2001 (n= 1,918) after exclusion of those who had a history of AF, atrial flutter, hyperthyroidism, or moderate-to-severe valvular heart disease and those who were taking antiarrhythmic drugs. Participants were seen every 6–12 months for medical examinations of glycemic control, chronic diabetes complications, and routine electrocardiograms (ECGs). The ascertainment at the end of follow-up (January 2011) for the sample was 100%. The local ethics committee approved the study protocol. All participants gave their informed consent. Pre-existing history of coronary heart disease, congestive heart failure (CHF), and mild valvular heart disease was confirmed by reviewing hospital medical records, including diagnostic symptoms patterns, echocardiograms, and other laboratory results. Presence of left ventricular hypertrophy (LVH) was diagnosed on the basis of a standard 12-lead ECG according to Sokolow-Lyon voltage criteria and/or Cornell voltage criteria (5). During the follow-up, participants were diagnosed with AF if AF or atrial flutter was present on an ECG that was obtained from hospital or physician chart or from a routine clinic examination in our clinic (i.e., a 12-lead ECG was performed yearly in all participants. A single, experienced cardiologist, who was blinded to subjects’ details, confirmed the diagnosis of incident AF in affected participants.

Statistical analysis

One-way ANOVA, the Kruskal-Wallis test, and the χ2 test were used to compare the baseline characteristics of participants stratified by tertiles of baseline PP. Multivariate logistic regression analysis was used to separately examine the independent associations between the various components of blood pressure (systolic blood pressure, PP, or mean blood pressure, which were included in separate regression models as continuous variables, i.e., per 1-SD increment in each variable) and incident AF.

RESULTS

In the whole sample, age, diabetes duration, and A1C averaged 63 years, 6 years, and 7.7 %, respectively. Mean (SD) values of systolic blood pressure, PP, and mean blood pressure were 140 ± 15.2, 59.1 ± 12.8, and 100.7 ± 8.8 mmHg, respectively. Baseline characteristics of participants stratified by PP tertiles are displayed in Table 1.
Table 1

Baseline clinical and biochemical characteristics of the sample stratified by tertiles of PP

Baseline clinical and biochemical characteristics of the sample stratified by tertiles of PP During the follow-up of 10 years, 32 (9.1%) participants developed incident AF. The cumulative incidence of AF increased incrementally across PP tertiles (Table 1). In univariate analyses, each SD increment in PP (odds ratio [OR] 2.10 [95% CI 1.4–3.0]), systolic blood pressure (1.79 [1.2–2.6]) or mean blood pressure (1.43 [1.0–2.2]) was significantly associated with an increase in the risk of developing AF. After adjustment for age, sex, diabetes duration, electrocardiographic LVH, and hypertension treatment, only PP maintained a significant association with incident AF (adjusted OR 1.71 [1.1–2.7], P < 0.01). In contrast, the associations of systolic blood pressure (1.46 [0.9–1.9]) and mean blood pressure (1.21 [0.7–1.5]) with incident AF were no longer significant after adjusting for the above-mentioned covariates. Results remained unchanged even after exclusion of those who improved their PP values during the follow-up (∼40% of patients changed baseline PP tertiles during follow-up). In a less parsimonious regression model, the significant association between PP and incident AF persisted after additional adjustment for BMI, chronic kidney disease, and history of previous coronary heart disease, CHF, and mild valvular disease (1.76 [1.1–2.8], P < 0.01). However, given the number of clinical outcomes (n= 32), the results of this regression model should be interpreted with some caution. Notably, other independent predictors of incident AF were older age, LVH, and history of CHF (P < 0.001).

CONCLUSIONS

This is the first study to specifically examine the role of PP in predicting development of incident AF in type 2 diabetic individuals, who were free from AF at baseline. The major finding of this study was that increased PP predicted incident AF during 10 years of follow-up, independently of LVH and other clinical AF risk factors. In contrast, systolic blood pressure and mean blood pressure were not independently associated with incident AF. Our results complement and expand recent findings from the Framingham Heart Study demonstrating that baseline PP is an independent risk factor for new-onset AF in the community (4). It is remarkable to note that both in the Framingham Heart Study and in our study, the analysis of the components of blood pressure indicates that the relationship between blood pressure and incident AF is potentially related specifically to the age-related pulsatile component of blood pressure as assessed by PP. The increase in PP adds significantly to the pulsatile load of blood pressure on the heart (6), thereby promoting LVH (7), impaired LV diastolic relaxation (8–10), and left atrial enlargement (11). Strong evidence supports the concept of increased arterial stiffness in people with type 2 diabetes (12–14). Our study has some important limitations. First, because our sample comprised white type 2 diabetic individuals, who were followed at an outpatient diabetes clinic, our results may not necessarily be generalizable to other nonwhite diabetic populations. Second, we measured PP, which is a simple and readily accessible if somewhat indirect measure of arterial stiffness. Third, the diagnosis of LVH was based on widely accepted ECG criteria (that have a specificity of 98–100% but a sensitivity of 30–40% compared with echocardiographic findings); echocardiography for detecting LVH at baseline was available only for few patients. Finally, there were also a relatively small number of clinical events during the follow-up; therefore, the results should be interpreted with some caution In conclusion, our results suggest that elevated PP is associated with an increased incidence of AF in type 2 diabetic patients, independently of several AF clinical risk factors. Further studies are needed to confirm this finding and to explore whether pharmacological interventions aimed at reducing PP or preventing the increase in PP with advancing age effectively reduce the incidence of AF in type 2 diabetic patients.
  14 in total

Review 1.  Atrial fibrillation.

Authors:  Gregory Y H Lip; Hung Fat Tse; Deirdre A Lane
Journal:  Lancet       Date:  2011-12-11       Impact factor: 79.321

Review 2.  Arterial stiffness in diabetes and the metabolic syndrome: a pathway to cardiovascular disease.

Authors:  C D A Stehouwer; R M A Henry; I Ferreira
Journal:  Diabetologia       Date:  2008-02-01       Impact factor: 10.122

3.  Validity of electrocardiographic classification of left ventricular hypertrophy across adult ethnic groups with echocardiography as a standard.

Authors:  Andrew Peter Vanezis; Raj Bhopal
Journal:  J Electrocardiol       Date:  2008-05-02       Impact factor: 1.438

4.  Afterload induced changes in myocardial relaxation: a mechanism for diastolic dysfunction.

Authors:  A F Leite-Moreira; J Correia-Pinto; T C Gillebert
Journal:  Cardiovasc Res       Date:  1999-08-01       Impact factor: 10.787

5.  Influence of blood pressure on left atrial size. The Framingham Heart Study.

Authors:  S M Vaziri; M G Larson; M S Lauer; E J Benjamin; D Levy
Journal:  Hypertension       Date:  1995-06       Impact factor: 10.190

6.  Impact of atrial fibrillation on the risk of death: the Framingham Heart Study.

Authors:  E J Benjamin; P A Wolf; R B D'Agostino; H Silbershatz; W B Kannel; D Levy
Journal:  Circulation       Date:  1998-09-08       Impact factor: 29.690

7.  Relation of arterial stiffness to left ventricular diastolic function and cardiovascular risk prediction in patients > or =65 years of age.

Authors:  Walter P Abhayaratna; Marion E Barnes; Michael F O'Rourke; Bernard J Gersh; James B Seward; Yoko Miyasaka; Kent R Bailey; Teresa S M Tsang
Journal:  Am J Cardiol       Date:  2006-10-04       Impact factor: 2.778

8.  Pulse pressure and risk of new-onset atrial fibrillation.

Authors:  Gary F Mitchell; Ramachandran S Vasan; Michelle J Keyes; Helen Parise; Thomas J Wang; Martin G Larson; Ralph B D'Agostino; William B Kannel; Daniel Levy; Emelia J Benjamin
Journal:  JAMA       Date:  2007-02-21       Impact factor: 56.272

9.  The aging of elastic and muscular arteries: a comparison of diabetic and nondiabetic subjects.

Authors:  James D Cameron; Christopher J Bulpitt; Elisabete S Pinto; Chakravarthi Rajkumar
Journal:  Diabetes Care       Date:  2003-07       Impact factor: 19.112

10.  Changes in arterial stiffness and wave reflection with advancing age in healthy men and women: the Framingham Heart Study.

Authors:  Gary F Mitchell; Helen Parise; Emelia J Benjamin; Martin G Larson; Michelle J Keyes; Joseph A Vita; Ramachandran S Vasan; Daniel Levy
Journal:  Hypertension       Date:  2004-05-03       Impact factor: 10.190

View more
  5 in total

1.  Relation of systolic, diastolic, and pulse pressures and aortic distensibility with atrial fibrillation (from the Multi-Ethnic Study of Atherosclerosis).

Authors:  Nicholas S Roetker; Lin Y Chen; Susan R Heckbert; Saman Nazarian; Elsayed Z Soliman; David A Bluemke; João A C Lima; Alvaro Alonso
Journal:  Am J Cardiol       Date:  2014-06-06       Impact factor: 2.778

2.  Chronic stress and Rosiglitazone increase indices of vascular stiffness in male rats.

Authors:  M L Goodson; A E B Packard; D R Buesing; M Maney; B Myers; Y Fang; J E Basford; D Y Hui; Y M Ulrich-Lai; J P Herman; Karen K Ryan
Journal:  Physiol Behav       Date:  2016-03-31

Review 3.  Arterial stiffness and atrial fibrillation: A review.

Authors:  João Gabriel Batista Lage; Alexandre Lemos Bortolotto; Mauricio Ibrahim Scanavacca; Luiz Aparecido Bortolotto; Francisco Carlos da Costa Darrieux
Journal:  Clinics (Sao Paulo)       Date:  2022-03-03       Impact factor: 2.365

4.  Carotid Intima-Media Thickness and Arterial Stiffness and the Risk of Atrial Fibrillation: The Atherosclerosis Risk in Communities (ARIC) Study, Multi-Ethnic Study of Atherosclerosis (MESA), and the Rotterdam Study.

Authors:  Lin Y Chen; Maarten J G Leening; Faye L Norby; Nicholas S Roetker; Albert Hofman; Oscar H Franco; Wei Pan; Joseph F Polak; Jacqueline C M Witteman; Richard A Kronmal; Aaron R Folsom; Saman Nazarian; Bruno H Stricker; Susan R Heckbert; Alvaro Alonso
Journal:  J Am Heart Assoc       Date:  2016-05-20       Impact factor: 5.501

5.  Association of angiotensin-converting enzyme 2 gene polymorphism and enzymatic activity with essential hypertension in different gender: A case-control study.

Authors:  Qi Zhang; Mingyu Cong; Ningning Wang; Xueyan Li; Hao Zhang; Keyong Zhang; Ming Jin; Nan Wu; Changchun Qiu; Jingping Li
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.