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Rapid Communication

Dual factor pulse pressure: body mass index and outcome in type 2 diabetic subjects on maintenance hemodialysis. A longitudinal study 2003–2006

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Pages 1401-1406 | Published online: 05 Dec 2008

Abstract

Background:

Inverse associations between risk factors and mortality have been reported in epidemiological studies of patients on maintenance hemodialysis (MHD).

Objective:

The aim of this prospective study was to estimate the effect of the dual variable pulse pressure (PP) – body mass index (BMI) on cardiovascular (CV) events and death in type 2 diabetic (T2D) subjects on MHD in a Caribbean population.

Methods:

Eighty Afro-Caribbean T2D patients on MHD were studied prospectively from 2003 to 2006. Proportional-hazard modeling was used.

Results:

Of all, 23.8% had a high PP (PP ≥ 75th percentile), 76.3% had BMI < 30 Kg/m2, 21.3% had the dual factor high PP – absence of obesity. During the study period, 23 patients died and 13 CV events occurred. In the presence of the dual variable and after adjustment for age, gender, duration of MHD, and pre-existing CV complications, the adjusted hazard ratio (HR) (95% CI) of CV events and death were respectively 2.7 (0.8–8.3); P = 0.09 and 2.4 (1.1–5.9); P = 0.04.

Conclusions:

The dual factor, high PP – absence of obesity, is a prognosis factor of outcome. In type 2 diabetics on MHD, a specific management strategy should be proposed in nonobese subjects with wide pulse pressure in order to decrease or prevent the incidence of fatal and nonfatal events.

Introduction

Type 2 diabetes (T2D) is a rapidly growing health problem in Guadeloupe and is highly prevalent in patients on maintenance hemodialysis (MHD) as found in countries with a western lifestyle (CitationFoucan et al 2000).

Traditional risk factors of cardiovascular disease (CVD) in the general population, such as hypertension, obesity, and hypercholesterolemia, were previously associated with better survival on dialysis (CitationKalantar-Zadeh et al 2005; CitationNurmohamed 2005). This inverse association between clinical risk factors and mortality has been reported in several epidemiological studies of dialysis patients (CitationKalantar-Zadeh et al 2003, Citation2005; CitationKopple 2005). Thus, in subjects on MHD, weight gain and baseline obesity have been associated with a reduced cardiovascular risk with a lowest mortality in morbidly obese patients (CitationKalantar-Zadeh et al 2005). Hypertension is a common co-morbid condition in dialysis patients. In diabetic patients with chronic kidney disease, the blood pressure treatment goal is less than 130/80 mmHg (CitationChobanian et al 2003; CitationPrisant 2003). But, in patients on MHD, the hypertension contribution to a poor prognosis is controversial. A time effect is evocated with a high risk of early mortality for hypotension and a high risk of late mortality for hypertension (CitationZager et al 1998; CitationCharra 2007). Some authors reported that pulse pressure (PP), an indicator of arterial stiffness (CitationNawrot et al 2004), was an independent predictor of total mortality in nondiabetic patients on MHD (CitationTozawa et al 2002). Some others, in a clinical review, highlighted the potential dangers of extrapolating trials findings from nonkidney disease patients to those with chronic kidney disease (CitationKaisar et al 2007).

Studies of patients on MHD are more often conducted on overall populations with diabetes status considered as a covariate. Further more to our knowledge, the prognosis significance of the dual factor body mass index (BMI) – PP has not yet been reported in T2D subjects undergoing HD.

The present study was conducted in Guadeloupe, a French Caribbean island of 420,000 inhabitants. On this island, about 30% of the 400 individuals receiving renal replacement therapy are diabetics and the majority of them have T2D.

We hypothesized that the combination of a BMI less than 30 kg/m2 and a wide pulse pressure at baseline are independently associated with cardiovascular (CV) events and total mortality in T2D patients undergoing hemodialysis with a higher risk for this dual factor than for each of them considered separately.

Patients and method

A longitudinal study was conducted in Guadeloupe during the period of December 2003 through December 2006.

Study population

The study population was constituted of subjects alive on December 2003, and who had been treated for more than one month in dialysis. They were 33 to 80-years-old and were selected in 3 dialysis centers of the island. Dialysis was performed three times per week. The diabetic status was a co-morbid condition or an etiology of chronic kidney disease. The sample represented nearly 85% of the T2D patients on HD in the island and was previously described in a cross sectional study at baseline (CitationFoucan et al 2005).

Data collection

Demographic, clinical and laboratory data were collected on all T2D patients on dialysis on December 2003 and dialyzed for more than 1 month. Data collected were: age, gender, years on chronic HD prior to December 2003, history of disease (hypertension, stroke, and coronary disease), use of current antidiabetic and antihypertensive treatment.

Height, weight were measured. The BMI, weight/height2 (kg/m2) was calculated.

Blood pressure

We have taken into account systolic (SBP) and diastolic blood pressure (DBP) recorded at baseline with an automated method before HD for every single observed HD. The retained values were the average systolic and average diastolic pressures over a month period.

Definition of clinical factors and outcome data

Pulse pressure was calculated as SBP – DBP (mmHg). High pulse pressure corresponded to a PP equal or higher than the 75th percentile of the overall PP values for each gender.

Hypertension was defined as a SBP ≥ 140 or a DBP ≥ 90 mmHg or history of hypertension and current use of antihypertensive medication.

Obesity was defined as BMI ≥ 30 kg/m2 and morbid obesity as BMI ≥ 40 kg/m2.

The dual factor was defined as the following combination: PP ≥ 75th percentile – BMI < 30 kg/m2.

Outcome data were obtained from medical record. Cardiovascular events included coronary artery disease (angina pectoris, acute myocardial infarction, coronary bypass surgery, or coronary angioplasty), stroke and death related to CV events. Cardiovascular death was defined as death from coronary disease or stroke.

Pre-existing CV complications included cardiac events (coronary event and stroke) occurred before December 2003.

All patients were followed up until coronary events, stroke, death for all causes, or transfer out of Guadeloupe or the end of 2006.

Statistical analysis

The descriptive statistics of patient characteristics were performed. The results were expressed as median (IQR: inter-quartile range) for the continuous variables and by number (percentage) for the categorical variables. The subjects were divided into two groups according to the occurrence or not of events. The chi-square test and the Mann Whitney nonparametric test were used to compare ratios and values between patients groups. Correlation between continuous variables was tested with Pearson correlation coefficient.

Cox proportional hazard modeling was used, to assess the risk of CV events or death in patients with the highest values of PP, in those without obesity and in those with the dual factor high PP – BMI < 30 kg/m2. Unadjusted and adjusted hazard ratios and 95% confidence interval, HR (95% CI) were calculated. Adjusted analyses were performed with other covariates: gender, age (/10- year increase), time on dialysis (≥3 years or <3 years) pre-existing CV complications at baseline. Graphical and statistical tests were used to check the assumption of proportional hazards.

SPSS V 15.0 statistical software package (SPSS Inc., Chicago, IL, USA) was used for data analysis.

A P value < 0.05 was considered as significant.

Results

Overall 80 T2D subjects were included in the study. The population was 58% female. The mean (SD) age at baseline was 62 (31) years: shows the baseline characteristics of the sample of T2D. Of the subjects, 75 (94%) had hypertension and among them, 84% were treated. Most of the subjects received angiotensin-converting enzyme inhibitors or calcium channel blockers. Among those receiving antihypertensive medications, 5 (7.9 %) had a blood pressure less than 130/80 mmHg. No significant difference in frequencies of hypertension and use of antihypertensive drugs was found between subjects with occurrence of CV events and those who died.

Table 1 Characteristics of the type 2 diabetic subjects on chronic maintenance hemodialysis (N = 80)

Median pulse pressure (IQR) was 75 (63–87) mmHg in the overall study sample. There was no significant difference in frequencies of high PP in the 3 BMI classes (25% for BMI <25, 30% for 25 ≤ BMI < 30 and 11% for BMI ≥ 30 kg/m2). Of all, 23.8% of the subjects had a high PP, 76% were nonobese, 21% had the dual factor high PP – absence of obesity. Four subjects (5%) had a morbid obesity and didn’t present outcome during the study period.

Pre-existing CV complications were noted in 30 subjects (16 coronary events, 18 strokes).

During the three year follow-up period, 23 patients died and 13 CV events occurred: 1 nonfatal acute myocardial infarction (AMI), 6 fatal AMI, 2 angina (who undergone coronary angioplasty), and 3 nonfatal and 1 fatal ischemic strokes.

There was no significant correlation between BMI and PP.

Comparison between groups

Comparison between patient groups without (group1) and with (group 2) events () didn’t show significant differences for median BMI and median blood pressure components.

Nonsignificant trends of high frequencies of PP ≥ 75th percentile and BMI < 30 kg/m2 were found in group 2 compared to group 1. Frequency of dual variable PP ≥ 75th percentile – BMI < 30 kg/m2 was higher in group 2 (34.6%) than in group 1 (14.8%); P = 0.04. Percentages of subjects with pre-existing CV events and percentages of those using antihypertensive drug therapies were not different between groups.

Univariate Cox analysis

Unadjusted hazard ratios (HR) of CV events (fatal and nonfatal coronary events and stroke) are presented in . Pre-existing CV complications were not significantly associated with the risk of events. The risk of CV events was increased by 2.9–3.5 times with the presence of male gender, high PP, or dual variable wide PP – BMI < 30 kg/m2. Unadjusted HRs of total mortality were significant for wide PP and the dual variable. For the dual variable, the HR of CV events was 3.5 (1.2–10.5); P = 0.02 and that of total mortality was 2.9 (1.2–6.7); P = 0.01. In both cases, the dual variable was the most significant predictor of events.

Table 2 Unadjusted hazard ratios for the occurrence of cardiovascular events and deaths in type 2 Diabetic subjects on maintenance hemodialysis (N = 80), Guadeloupe, 2003–2006

Multivariate Cox analysis

In multivariate proportional hazard regression, all models were adjusted for age, gender, duration of dialysis, pre-existing CV complications and use of antihypertensive medications. Hazard ratios of incident CV events were not significant for PP ≥ 75th percentile (model 1), BMI < 30 kg/m2 (model 2), PP ≥ 75th percentile and BMI < 30 kg/m2 jointly entered in the model (model 3) but nearly significant for the dual variable; 2.7 (0.8–8.3); P = 0.09 (model 4). The hazard ratio of total mortality was significant only for the dual variable wide PP – BMI < 30 kg/m2: 2.4 (1.1–5.9); P = 0.04.

Table 3 Adjusted hazard ratios for the occurrence of cardiovascular events and death in type 2 Diabetic subjects on chronic maintenance hemodialysis (N = 80), Guadeloupe 2003–2006

Discussion

In this three-year follow-up study on Caribbean T2D subjects undergoing hemodialysis, we found that combination of a wide pulse pressure and body mass index less than 30 kg/m2 was an independent predictor of total mortality. The results also showed that this dual factor had a higher predictive value for occurrence of death than both variables separately considered. Our findings highlight those of previous studies which reported the reverse epidemiology for obesity in subjects on MHD (CitationKalantar-Zadeh et al 2005; CitationKalantar-Zadeh 2006). Contrary to most of previous studies of patients on MHD considering diabetes status as a covariate or a parameter of adjustment, our work was conducted in a diabetic population. Therefore our results showing nearly significant hazard ratios for PP in predicting cardiovascular events or death highlight the need of additional studies on this topic in T2D subjects.

In a large sample of subjects free of overt cardiovascular disease from First National Health and Nutrition Examination Survey (NHANES I), PP increased with increasing of BMI (CitationDomanski et al 2001). This positive correlation was not found in our T2D subjects on MHD. It is not surprising since an “obesity paradox” has been reported in patients with end stage renal disease. In fact, lower BMI or serum albumin was identified as independent predictor of wide PP in diabetics and nondiabetics on MHD (CitationKalantar-Zadeh et al 2003).

It is suggested that patients in MHD with normal or high normal body weights are faced to malnutrition and inflammation (CitationQureshi et al 2002; CitationLiu et al 2004) with the latter particularly related to infection (CitationBellomo et al 2003) In a study evaluating the nutritional status in 128 MHD patients by subjective nutritional assessment, anthropometric parameters, and several markers of inflammation, the authors concluded that inflammation malnutrition and cardiovascular disease factors appeared interrelated, each additionally contributing to the high mortality in these patients (CitationQureshi et al 2002).

Pulse pressure was recognized as a crucial risk factor in CV events and mortality in the general population (CitationBenetos et al 1997; CitationGlynn et al 2000) and was demonstrated to increase cardiovascular risk in diabetic and MHD patients (CitationAoun et al 2001). In MHD patients, an elevation of systolic blood pressure is generally observed while diastolic BP decrease (CitationSaint-Remy 2005) resulting in a high PP. But, in a study on 1243 MHD patients in Japan, PP was found as a significant predictor for total mortality only in nondiabetic patients (CitationTozawa al 2002). This blood pressure component exhibited, in our T2D subjects, nearly significant hazard ratio for total mortality and appeared as a significant prognosis factor of deaths when it was combined with normal or high normal BMI in these subjects.

In a cross-sectional analysis, performed on the same Caribbean T2D sample on MHD (CitationFoucan et al 2005), we reported that of the four BP components (SBP, DBP, mean arterial pressure, and PP), only SBP and PP discriminated patients with significant CV history. In this previous study, our results also pointed out a stronger association of pre-existing CV complications with PP than with SBP.

The present study has some limitations including its very small sample size for a MHD population and the possibility of misclassifications related to silent myocardial infarction occurring frequently in T2D subjects. A survivor bias may be associated with the fact that this sample was constituted of chronically treated population and was not a cohort of new subjects undergoing HD.

But the strength of our study lies in its longitudinal design on about 85% of the T2D on MHD from all centers in the island avoiding the bias with study populations selected in single centers. So, we are allowed to take into account, in future guidelines, the results of our report for the management of T2D subjects undergoing hemodialysis.

Elevated PP combined with absence of obesity indicates high risk of death in T2D patients on MHD. Drugs therapies as angiotensin-converting enzyme inhibitors which reduce overall mortality (CitationPrisant 2003) and calcium channel blockers may reduce aortic pulse wave velocity and pulse pressure (CitationSafar et al 1997, Citation2004; CitationSharma et al 2007). While it is allowed that some antihypertensive therapy may contribute to decrease arterial stiffness and then PP, the management of BMI is still a matter for debate (CitationKalantar-Zadeh 2007). In fact, it is difficult to recommend weight gaining or obesity to improve survival on dialysis patients.

We conclude that, in clinical practice, this dual factor may help to identify patients at increase risk of death. We think that, in T2D subjects on MHD, a specific management should be proposed in nonobese subjects with wide PP in order to decrease or prevent the incidence of fatal and nonfatal events.

Disclosure

This research was supported by the Programme Hospitalier pour la Recherche Clinique (PHRC).

References

  • AounSBlacherJSafarME2001Diabetes mellitus and renal failure: effects on large artery stiffnessJ Hum Hypertens1569370011607799
  • BellomoGLippiGSaronioP2003Inflammation, infection and cardiovascular events in chronic hemodialysis patients: a prospective studyJ Nephrol162455112768072
  • BenetosASafarMRudnichiA1997Pulse pressure: a predictor of long-term cardiovascular mortality in a French male populationHypertension30141059403561
  • CharraB2007[Does hypertension impact on hemodialysis patients mortality?] Nephrol Ther3Suppl 3S162918340682
  • ChobanianAVBakrisGLBlackHR2003Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood PressureHypertension4212065214656957
  • DomanskiMNormanJWolzM2001Cardiovascular risk assessment using pulse pressure in the first national health and nutrition examination survey (NHANES I)Hypertension38793711641288
  • FoucanLDeloumeauxJHueK2005High pulse pressure associated with cardiovascular events in patients with type 2 diabetes undergoing hemodialysisAm J Hypertens1814576216280281
  • FoucanLMeraultHDeloumeauxJ2000[Survival analysis of diabetic patients on dialysis in Guadeloupe] Diabetes Metab263071311011224
  • GlynnRJChaeCUGuralnikJM2000Pulse pressure and mortalty in older peopleArch Intern Med16027657211025786
  • KaisarMIsbelNJohnsonDW2007Cardiovascular disease in patients with chronic kidney disease. A clinical reviewMinerva Urol Nefrol592819717912225
  • Kalantar-ZadehKBlockGHumphreysMH2003Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patientsKidney Int6379380812631061
  • Kalantar-ZadehKKoppleJDKilpatrickRD2005Association of morbid obesity and weight change over time with cardiovascular survival in hemodialysis populationAm J Kidney Dis4648950016129211
  • Kalantar-ZadehKKoppleJD2006Obesity paradox in patients on maintenance dialysisContrib Nephrol151576916929133
  • Kalantar-ZadehK2007What is so bad about reverse epidemiology anyway?Semin Dial2059360117991210
  • KoppleJD2005The phenomenon of altered risk factor patterns or reverse epidemiology in persons with advanced chronic kidney failureAm J Clin Nutr8112576615941874
  • LiuYCoreshJEustaceJA2004Association between cholesterol level and mortality in dialysis patients: role of inflammation and malnutritionJAMA291451914747502
  • NawrotTSStaessenJAThijsL2004Should pulse pressure become part of the Framingham risk score?J Hum Hypertens182798615037878
  • NurmohamedSANubeMJ2005Reverse epidemiology: paradoxical observations in haemodialysis patientsNeth J Med633768116301758
  • PrisantLM2003Diabetes mellitus and hypertension: a mandate for intense treatment according to new guidelinesAm J Ther10363912975721
  • QureshiARAlvestrandADivino-FilhoJC2002Inflammation, malnutrition, and cardiac disease as predictors of mortality in hemodi-alysis patientsJ Am Soc Nephrol13Suppl 1S283611792759
  • SafarMEVaisseBBlacherJ2004Pulse pressure monitoring of open antihypertensive therapyAm J Hypertens1710889415607613
  • SafarMEvan BortelLMStruijker-BoudierHA1997Resistance and conduit arteries following converting enzyme inhibition in hypertensionJ Vasc Res3467819167639
  • Saint-RemyAKrzesinskiJM2005Optimal blood pressure level and best measurement procedure in hemodialysis patientsVasc Health Risk Manag12354417319109
  • SharmaSKRuggenentiPRemuzziG2007Managing hypertension in diabetic patients-focus on trandolapril/verapamil combinationVasc Health Risk Manag34536517969376
  • TozawaMIsekiKIsekiC2002Pulse pressure and risk of total mortality and cardiovascular events in patients on chronic hemodialysisKidney Int617172611849415
  • ZagerPGNikolicJBrownRH1998“U” curve association of blood pressure and mortality in hemodialysis patients. Medical Directors of Dialysis Clinic, Inc”Kidney Int5456199690224