| Diabetes | Care |
Volume 23 Supplement 2
Data, Results, and Consequences of Major Trials With Focus on Type 2 Diabetes
Proceedings from a Symposium
ORIGINAL ARTICLE Determinants of Elevated Urinary Albumin in the 4,937 Type 2
Diabetic Subjects Recruited for the DIABHYCAR Study in Western Europe and North Africa
OBJECTIVE Whether ACE inhibition is useful for type 2 diabetic patients with micro- and macroalbuminuria remains unknown. The Non-Insulin-Dependent Diabetes, Hypertension, Microalbuminuria, Cardiovascular Events and Ramipril (DIABHYCAR) Study was set up to address this issue through a multicenter double-blind parallel placebo-controlled >3-year trial in Europe and North Africa. In this article, we report the characteristics of the randomized patients. RESEARCH DESIGN AND METHODS The main selection criteria were as follows: men or women aged >50 years with type 2 diabetes treated with oral antidiabetic drugs, with or without hypertension, with a plasma creatinine level <150 µmol/l, and with persistent micro- or macroalbuminuria, as assessed centrally by two successive urine samples containing a urinary albumin concentration >20 mg/l. Patient characteristics were studied by comparing patients who were randomized to those who were not, taking their geographical origin into account. RESULTS There were 25,455 patients screened for urinary albumin (20,296 from France, 918 from Germany, 1,019 from Northwest Europe, 969 from Central Europe, 959 from Mediterranean Europe, and 1,294 from North Africa). Of these patients, 4,937 were randomized. Compared with the nonrandomized patients, the randomized patients were older, more often men, more obese, had higher systolic/diastolic blood pressure and plasma glucose, smoked more tobacco, drank more alcohol, and had complications more frequently. Using a logistic regression analysis, all the above-mentioned items appeared as independent determinants for randomization into the study, with the exception of alcohol intake. The contribution of each item varied slightly from one geographical origin to another. CONCLUSIONS The physical, biological, and behavioral characteristics create a poor renal and cardiovascular prognosis for the type 2 diabetic patients randomized to the DIABHYCAR Study because of micro- and macroalbuminuria. Testing the usefulness of ACE inhibition for the type 2 diabetic patients with microalbuminuria seems feasible through the DIABHYCAR Study. Diabetes Care 23 (Suppl. 2):B40B48, 2000 Microalbuminuria predicts clinical proteinuria and early mortality in
maturity-onset diabetes (1), predominantly because of cardiovascular
events (13). Because ACE inhibitors reduce
microalbuminuria better than conventional antihypertensive drugs (4),
they are often recommended as first-line treatment in diabetic patients with micro- or
macroalbuminuria (5). However, there is currently no evidence that ACE
inhibitors protect kidney function specifically when given to type 2 diabetic patients
with high urinary albumin levels (6). Also, the benefits obtained from
captopril treatment through tight blood pressure control for hypertensive patients
enrolled in the U.K. Prospective Diabetes Study (UKPDS) Study were similar to the benefits
from atenolol treatment (7). To examine if ACE inhibition protects type 2
diabetic patients from cardiovascular or renal events predicted by micro- or
macroalbuminuria, we set up the Non-Insulin-Dependent Diabetes, Hypertension,
Microalbuminuria, Cardiovascular Events and Ramipril (DIABHYCAR) Study. This double-blind
multicenter multinational 3-year placebo-controlled parallel trial with ramipril (1.25
mg/day) was conducted in type 2 diabetic patients selected for their high urinary albumin
levels, in addition to their currently recommended treatment (8). In this
article, we report the recruitment phase of this study and the main characteristics of the
patients randomized by comparison to those who were not randomized. Because patients were
recruited in several countries throughout Europe and North Africa, these characteristics
were also analyzed according to the patients' geographical origins.
RESEARCH DESIGN AND METHODS Study design Patient selection.
The main inclusion criteria were as follows: men or women aged >50 years with
type 2 diabetes treated with oral antidiabetic drugs at inclusion, with or without
hypertension, and with persistent micro- or macroalbuminuria, identified by two successive
random urine samples containing >20 mg/l urinary albumin (assayed centrally)
within 6 months. This selection procedure was chosen because it predicts a urinary albumin
excretion (UAE) level >30 mg/24 h two to three times out of three consecutive
24-h urine samples with a positive predictive value >98% (13). Main
exclusion criteria were a plasma creatinine level >150 µmol/l, treatment with
ACE inhibitors or angiotensin subtype 1 receptor antagonists, or myocardial infarction <3
months before inclusion. The study started in France in February 1995 with general
practitioners as local investigators and started in other European and North African
countries during 1997 (Austria, Belgium, Croatia, Czech Republic, Germany, Greece,
Hungary, Morocco, the Netherlands, Slovenia, Spain, Switzerland, Tunisia, and the U.K.).
The study protocol was first approved by the Ethics Committee of Angers University
Hospital (Angers, France) and then by all local ethics committees elsewhere as requested.
Prestudy assumptions indicated that 4,000 patients must be followed-up for a minimum of 3
years, taking into account a 5% annual incidence of the primary outcome, a 20% risk
reduction, and risks of 5% of Methods Statistical analysis RESULTS Recruitment procedure
Patient
characteristics
However, there were some geographical differences: compared with the other patients, patients from Morocco and Tunisia were younger (P = 0.0001), less frequently men (P = 0.0001), smoked tobacco and drank alcohol less frequently (P = 0.0151 and P = 0.0001, respectively), and had had previous myocardial infarction less frequently (P = 0.0001). In group 2 (Austria, Hungary, Slovenia, and Czech Republic), sBP/dBP was higher (P = 0.0001 and P = 0.0001, respectively), and patients had had previous myocardial infarction more frequently than patients in other countries (P = 0.0001).
To examine the respective contributions of the various determinants for randomization into the DIABHYCAR Study (based on the presence of micro- and macroalbuminuria), a logistic regression analysis was performed, taking into account age, sex, BMI, sBP, dBP, tobacco and alcohol consumption, previous myocardial infarction and retinopathy, fasting blood glucose, and geographical origin as covariates (Table 5). As a result, all covariates, with the exception of alcohol consumption (P = 0.0587), were significant risk factors for high urinary albumin among the 25,455 patients, leading to their inclusion in the trial. The highest adjusted odds ratio for randomization due to micro- and macroalbuminuria was related to the male sex. Compared with France, the adjusted odds ratio was higher for all other country groups (Table 5).
The same factors accounted for about the same risk of randomization because of micro- and macroalbuminuria in patients recruited in France and Germany. In patients recruited in country group 1 (the U.K., Belgium, Switzerland, and the Netherlands), the odds ratios were similar, with the exception of the role of retinopathy, which had an adjusted odds ratio of 5.250 (2.28912.037, P = 0.0001). The other significant contributors for randomization due to micro- and macroalbuminuria were male sex, sBP, and fasting blood glucose. In group 2 (Austria, Czech Republic, Hungary, and Slovenia), the main (significant) determinants were older age, male sex, sBP, smoking habits, and diabetic retinopathy. In group 3 (Spain, Greece, Croatia, and Turkey), the risk profile in the randomized patients was similar to that seen in France, Germany, or group 1, but the only significant contributors were male sex and retinopathy. In Morocco and Tunisia, none of the tested determinants for micro-macroalbuminuria reached statistical significance for an independent effect. Male sex was hardly significant and had a lower odds ratio than in other participating countries (adjusted odds ratio 1.390 vs. 2.042) (Table 6).
Comparison restricted to the randomized patients versus the 14,987 patients with UAE <20 mg/l at first screening gave similar results (data not shown). Incidence of primary
outcome at completion of the recruitment phase of the DIABHYCAR Study CONCLUSIONS
The DIABHYCAR Study was designed to ascertain if the peculiar renal properties of
ACE inhibitors, which convey a clinical benefit for renal prognosis in type 1 diabetic
patients, may be of benefit to the type 2 diabetic patients, whose high urinary albumin
predominantly predicts cardiovascular events, as illustrated by the incidence of primary
outcome to date. The rationale of the DIABHYCAR Study is supported by several recent
trials in type 2 diabetic subjects. In the Appropriate Blood Pressure Control in Diabetes
Trial (17) and Fosinopril Versus Amlodipine Cardiovascular Events
Randomized Trial (18), which both compare an ACE inhibitor to a
long-acting dihydropyridine, the relative risk for cardiovascular events (especially
myocardial infarction) was two to five times higher with treatment with dihydropyridine
than with treatment with an ACE inhibitor. But the risk (or the benefit attributable to
dihydropyridine or ACE inhibitor) was not ascertained specifically in the absence of a
placebo group or in the absence of a group on conventional treatment. Conversely, two
studies testing long-acting dihydropyridine as first-line treatment to aggressively reduce
sBP (19) or dBP (20) for prevention of cardiovascular
events concluded this strategy brings a peculiar benefit to the diabetic patients, as
compared with the nondiabetic patients. In the type 2 diabetic patients participating in
the Captopril Prevention Project Study (21), risk for myocardial
infarction was reduced, but risk for stroke was equivalent to that in patients using
captopril, by comparison to diuretics and/or In the recruitment phase of the DIABHYCAR Study, ~30% of the screened type 2 diabetic patients had persistently high urinary albumin (micro- or macroalbuminuria) at first screening, thereby reproducing the data we obtained in the feasibility study of the DIABHYCAR trial (12). Although the efficacy of the recruitment procedures varied from one country to another, this proportion is similar to those reported previously in cross-sectional studies of type 2 diabetic patients (12,23,24). Patient characteristics were studied by comparison of the randomized patients to the nonrandomized patients. Thus, power to estimate factors associated with normo- versus micro- and macroalbuminuria was reduced, since some of the screened patients were rejected because their negative urine samples may have displayed micro- and macroalbuminuria on several occasions and because some eligible patients were not randomized. However, the present study is probably the largest study being performed on the topic of UAE in type 2 diabetic subjects to date. Thus, the high number of screened patients allowed an estimate of the respective contributions of various putative determinants for micro- and macroalbuminuria in type 2 diabetic patients, taking patients' geographical origin into account. Compared with patients in France, patients recruited elsewhere displayed a higher probability for randomization into the DIABHYCAR trial. This higher probability was observed after adjustment for all the studied potential causes for high urinary albumin. This result may reflect differences in the recruitment procedure for the trial, since French participants were recruited by their general practitioners and other participants were recruited by specialized clinics. Thus, the non-French participants may have been preselected for their high risk. Alternatively, the reduced risk for randomization of the French participants into the DIABHYCAR trial (for which high urinary albumin was the principal criteria, i.e., a sign for high cardiovascular risk) may be ascribed to the so-called French paradox (24), probably due to the habits of French subjects, rather than due to their genetic background. All the tested potential determinants for high urinary albumin were indeed independent contributors to high urinary albumin, except for alcohol intake. This finding contrasts with a previous report (25). The nature and the amount of alcohol intake can perhaps protect from premature mortality (24,26), but high alcohol intake favors high blood pressure (27) and is associated with other harmful behaviors, such as tobacco consumption. Taking these covariates into account, alcohol intake did not contribute independently to high urinary albumin. For all patients, male sex was the most important contributor (adjusted odds ratio ~2.0), a fact observed in participants of all geographical areas, including North Africa, where male sex was the sole significant contributor (P = 0.0564). This finding confirms previous reports in type 2 (28) and type 1 (29) diabetic patients, but not in the general population (30). The mechanisms through which male sex favors high urinary albumin must still be investigated, since it contributed to risk for microalbuminuria after adjustment for several confounding covariates like blood pressure or smoking habits. Blood pressure values (both sBP and dBP) were important contributors to risk for high urinary albumin. This finding is not surprising, since high blood pressure causes high urinary albumin (31), and hypertension and type 2 diabetes are often associated within the insulin resistance syndrome (32). Also, high urinary albumin can reflect diabetic nephropathy, and high blood pressure can be consequent to glomerulopathy, especially if diabetic retinopathy exists (33). Although the relative contribution of sBP and dBP varied from one country group to another, the contribution was proportional to the mean sBP/dBP values observed within each country group. Plasma glucose was also an important and expected contributor to high urinary albumin. In those country groups where plasma glucose was an independent contributor, so was diabetic retinopathy. This finding is in close accordance with the data in the UKPDS (34). BMI was a contributor to high urinary albumin, independently of plasma glucose, supporting previous findings in type 2 diabetic patients (35) and in the general population (36). However, we did not measure other potentially important contributors to high urinary albumin, such as plasma lipids (36) and insulin levels (16), which are tightly related to obesity. Tobacco consumption is an independent determinant for high urinary albumin, as previously reported (25). It may cause high urinary albumin through vasoconstriction. However, tobacco consumption is a major cardiovascular risk factor, especially for coronary heart disease. In the DIABHYCAR Study, previous myocardial infarction was also an independent contributor to high urinary albumin. High urinary albumin predicts myocardial infarction (13), but it is also associated with this condition. Although several risk factors for high urinary albumin can provoke myocardial infarction, this condition can be a source for clinical heart failure or subclinical ventricular dysfunction, which can provoke high urinary albumin (37). Finally, the relative contributions of the various tested determinants for high urinary albumin leading to randomization into the DIABHYCAR trial varied slightly from one country group to another, but these were in proportion to the degree of control, or to the frequency, of each of these determinants. In this respect, no significantly independent determinant was noticed for the patients originating from North Africa, but they were younger, were more frequently women, and had a low level of cardiovascular risk (Table 4). It may be that factors other than those identified in the present study are also related to high urinary albumin and play an important role in determining high urinary albumin in patients from North Africa. High urinary albumin is an intermediate phenotype (16), especially frequent in type 2 diabetes. As for other intermediate phenotypes like left ventricular hypertrophy or hyperinsulinemia/insulin resistance, a series of contributors can be associated with high urinary albumin. However, the relationship between each of the contributors and the given intermediate phenotype (here, high urinary albumin) is ambiguous when observed cross-sectionally, since the former can be the cause or consequence of the latter. Thus, a treatment strategy based on the finding of high urinary albumin is not validated to date, except for in type 1 diabetes (5). The treatment strategy can be based on multiple interventions on the various classical risk factors (38). The genetic components (other than male sex) of high urinary albumin must also be investigated. The DIABHYCAR Study was implemented to examine the usefulness of a treatment strategy (here, ACE inhibition) based on detection of an intermediate phenotype, which is often used as a surrogate end point in clinical trials. Acknowledgments This study is supported by a grant from Hoechst Marion Roussel and a Programme Hospitalier de Recherche Clinique grant. The authors thank all the investigators of the DIABHYCAR Study; Franck Pean, Gwenaelle Brossard, and Vincent Benoit for their technical assistance; Linda Richardson, Dr. M. Berrada, Dr. C. Jeribi, and their teams, who manage the DIABHYCAR Study in Europe outside France, Morocco, and Tunisia, respectively; and Françoise Rieuse, Laetitia Martin, Isabelle Gouleau, and Line Godiveau for their secretarial assistance. This article is dedicated to the memory of Françoise Bled (19461997), who implemented the urinary albumin screening phase of the DIABHYCAR Study. APPENDIX Members of the DIABHYCAR Study Group References 1. Mogensen CE: Microalbuminuria predicts clinical proteinuria and early mortality in maturity-onset diabetes. N Engl J Med 310:356360, 1984 2. 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Marre M, Bouhanick B, Berrut G: Microalbuminuria. Curr Opin Nephrol Hypertens 3: 558563, 199417. Estacio RO, Jeffers BW, Hiatt WR, Biggerstaff SL, Gifford N, Schrier RW: The effect of nisoldipine as compared with enalapril on cardiovascular outcomes in patients with non-insulin-dependent diabetes and hypertension. N Engl J Med 338:645652, 199818. Tatti P, Pahor M, Byington RP, Mauro PD, Guarisco R, Strollo G, Strollo F: Outcome results of the Fosinopril Versus Amlodipine Cardiovascular Events Randomized Trial (FACET) in patients with hypertension and NIDDM. Diabetes Care 21:597603, 199819. Tuomilehto J, Rastenyte D, Birkenhager WH, Thijs L, Antikainen R, Bulpitt CJ, Fletcher A, Forette F, Goldhaber A, Palatini P, Sarti C, Fagard R, for the Systolic Hypertension in Europe Trial Investigators: Effects of calcium-channel blockade in older patients with diabetes and hypertension. N Engl J Med 340:677684, 199920. Hansson L, Zanchetti A, Carruthers SG, Dahlöf B, Elmfeldt D, Julius S, Menard J, Rahn KH, Wedel H, Westerling S, for the HOT Study Group: Effect of intensive blood-pressure lowering and low-dose aspirin in patients with hypertension: principal results of the Hypertension Optimal Treatment (HOT) randomised trial. Lancet 351:17551762, 199821. Hansson L, Lindholm LH, Niskanen L, Lanke J, Hedner T, Niklason A, Luomanmaki K, Dalhof B, De Faire U, Morlin C, Karlberg BE, Wester PO, Bjorck JE, for the Captopril Prevention Project (CAPPP) Study Group: Effect of angiotensin converting-enzyme inhibition compared with conventional therapy on cardiovascular morbidity and mortality in hypertension: the Captopril Prevention Project (CAPPP) randomized trial. Lancet 353:611616, 199922. U.K. Prospective Diabetes Study Group: Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ 317:703713, 199823. 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Lang T, Degoulet P, Aime F, Devries C, Jacquinet-Salord MC, Fouriaud C: Relationship between alcohol consumption and hypertension prevalence and control in a French population. J Chronic Dis 40:713720, 198728. Gall MA, Hougaard P, Borch-Johnsen K, Parving HH: Risk factors for development of incipient and overt diabetic nephropathy in patients with non-insulin dependent diabetes mellitus: prospective, observational study. BMJ 314:783788, 199729. Andersen AR, Christiansen JS, Andersen JK, Kreiner S, Deckert T: Diabetic nephropathy in type 1 (insulin-dependent) diabetes: an epidemiological study. Diabetologia 25:496501, 198330. Yudkin JS, Forrest RD, Jackson CA: Microalbuminuria as predictor of vascular disease in non-diabetic subjects. Lancet ii:530533, 198831. Parving HH, Jensen HA, Mogensen CE, Evrin PE: Increased urinary albumin excretion rate in benign essential hypertension. Lancet i:11901192, 197432. Reaven GM: Role of insulin resistance in human disease Diabetes 37:15951607, 198833. Osterby R, Gall MA, Schmitz A, Nielsen FS, Nyberg G, Parving HH: Glomerular structure and function in proteinuric type 2 (non-insulin-dependent) diabetic patients. Diabetologia 36:10641070, 199334. U.K. Prospective Diabetes Study (UKPDS) Group: Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet 352:837853, 199835. Vasquez B, Flock EV, Savage PJ, Nagulesparan M, Bennion LJ, Benet PH: Sustained reduction of proteinuria in type II (non insulin dependent) diabetes following diet-induced reduction of hyperglycaemia. Diabetologia 26:127133, 198436. Metcalf PA, Baker JR, Scott AJ, Wild CJ, Scragg RKR, Dryson E: Albuminuria in people at least 40 years old: effect of obesity, hypertension, and hyperlipidemia. Clin Chem 38:18021808, 199237. Bigazzi R, Bianchi S, Baldari D, Sgherri G, Baldari G, Campese VM: Microalbuminuria in salt-sensitive patients: a marker for renal and cardiovascular risk factors. Hypertension 23:195199, 199438. Gaede P, Vedel P, Parving HH, Pedersen O: Intensified multifactorial intervention in patients with type 2 diabetes mellitus and microalbuminuria: the Steno Type 2 Randomised Study. Lancet 353:617622, 1999From Médecine B (M.M., S.H.), Centre Hospitalier Universitaire; Laboratoire de Biochimie B (Y.G.), Faculté de Médecine, Angers; Service de Pharmacologie Clinique (M.L.), Lyon; Hoechst Marion Roussel (D.V., J.-C.R.), Paris la Défense; Service d'Informatique Médicale (G.C.), Hôpital Broussais; Service de Diabétologie (P.P.), Hôpital Saint-Louis, Paris, France; Krankenhaus Schwabing (J.M.), Munich, Germany; and the Unit for Metabolic Medicine (G.-C.V.), Guy's Hospital, London, U.K. A complete listing of the DIABHYCAR Study Group is listed in the Appendix. Address correspondence and reprint requests to Michel Marre, MD, PhD, Service d'Endocrinologie, Diabétologie, Maladies Métaboliques, Hôpital Bichat, 46, rue Henri Huchard, 75877 Paris, Cedex 18 France. E-mail: michel.marre@bch.ap-hop-paris.fr. Received for publication 9 July 1999 and accepted in revised form 14 December 1999. D.V. and J.C.-R. are employed by and J.M. has received honoraria for speaking engagements from Hoechst Marion Roussel. Abbreviations: dBP, diastolic blood pressure; DIABHYCAR, Non-Insulin-Dependent Diabetes, Hypertension, Microalbuminuria, Cardiovascular Events and Ramipril; sBP, systolic blood pressure; UAE, urinary albumin excretion; UKPDS, U.K. Prospective Diabetes Study. A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances. This article is based on a presentation at a symposium. The symposium and the publication of this article were made possible by an unrestricted educational grant from Aventis Pharma. Copyright © 2000 American Diabetes Association For Technical Issues contact webmaster@diabetes.org |