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


Michel Marre, MD, PHD
Michel Lièvre, PHD
Daniel Vasmant, MD
Yves Gallois, PHD
Samy Hadjadj, MD
Jean-Christophe Reglier, MD
Gilles Chatellier, MD, PHD
Johannes Mann, MD
Gian-Carlo Viberti, MD
Philippe Passa, MD
On Behalf of the DIABHYCAR Study Group

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):B40–B48, 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
As reported previously (8), the DIABHYCAR Study aims to show that ACE inhibition by itself protects normotensive and hypertensive type 2 diabetic patients with micro- or macroalbuminuria from cardiovascular and renal events. The primary outcome is the combined incidence of the following events: cardiovascular death (including sudden death), acute myocardial infarction, stroke, end-stage renal failure, and acute congestive heart failure requiring urgent medical assistance (this last item was added to the initial protocol [8] by an amendment of the Scientific Committee as a primary outcome in 1997 because death from heart failure is predicted by microalbuminuria in type 2 diabetic patients [1] and because this condition has emerged as an important cause for mortality in Westernized populations during recent years [9]). Secondary outcomes were as follows: all-cause mortality, coronary bypass surgery or angioplasty, transient ischemic attack, nonurgent congestive heart failure, peripheral artery bypass surgery or angioplasty, lower-limb amputation above the metatarso-phalangial joint, loss of vision in one eye, and doubling of serum creatinine on two consecutive visits. The DIABHYCAR Study is a double-blind multicenter multinational parallel trial comparing 1.25 mg/day ramipril with placebo for a minimum of 3 years. A low dose of ramipril was chosen because this drug can affect renal and myocardial functions independently of its blood pressure–lowering effects (10,11). A feasibility study was performed in France. The vast majority of the French type 2 diabetic patients are cared for by their general practitioners. For this feasibility study, the general practitioners were selected randomly from lists organized according to their geographical origins. Type 2 diabetic patients were screened for microalbuminuria during their routine visits on a consecutive basis for a 6-week period starting 1 November 1993. On this occasion, the patients potentially eligible for the DIABHYCAR trial were asked if they were willing to participate, and most of them answered positively (12). These data suggest that the patients enrolled in the DIABHYCAR trial are representative of the French type 2 patients with microalbuminuria. However, no feasibility study was performed in the other participating countries. Patients were recruited there by specialty clinics.

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 and 10% of error types (8). However, the measured incidence of the primary outcome was 50% less than expected 2 years after study onset. To compensate for this possible lack of study power, the recruitment phase was prolonged, as recommended by the DIABHYCAR Scientific Committee, in all countries until 31 March 1998. Follow-ups were therefore scheduled for all patients through 31 March 2001.

Methods
At the first screening visit, the following variables were recorded by the local investigators on a standardized screening form: age, sex, weight (kg) and height (cm) in light clothes without shoes, sitting blood pressure (measured two times with a mercury sphygmomanometer), and, from medical records, duration of type 2 diabetes and hypertension (blood pressure >140/90 mmHg and/or antihypertensive treatment), tobacco (cigarettes/day) and alcohol (drinks/day) consumption, antecedent myocardial infarction, angina pectoris, stroke (as evidenced by hospital records), lower-limb arteritis (as defined by lack of foot pulses at palpation or amputation), diabetic retinopathy (five or more microaneurysms at fundoscopic examination), and fasting plasma glucose and creatinine (measured locally during the previous 3 months). These variables (together with current treatment) were reported on a screening form and were input into a central database by dedicated staff in the central laboratory (Biochemistry Laboratory, Angers, France). Completion of the database was obtained because expedition to the investigator of the urinalysis (as described below) was blocked automatically if response to one item was lacking. In such a case, the investigators were interviewed by telephone or fax until clarification was achieved. Then, this clarification (signed by the investigator) was confirmed by regular courier to the central laboratory. A random urine sample was then collected and sent with the screening form through private express mail to the central laboratory. UAE was measured immediately by nephelometry (14) (sensitivity 1 mg/l, inter- and intra-assay coefficient of variation 4 and 2%, respectively), and leucocyturia and hematuria were screened with dipsticks (Multistix, Bayer Diagnostics, Ruteaux, France). Results of the urinalysis were sent to investigators the same day. If urinary albumin was <20 mg/l, the screened patient was excluded; if it was >20 mg/l with leucocyturia and/or hematuria, a repeat urine sample could be sent again by the investigator for rescreening. If urinary albumin was >20 mg/l without any likely cause for error, then a second urine sample was collected by the investigator at the next outpatient visit. The second urinalysis was handled the same way as the urinalysis for the first sample. If the second urinary albumin was >20 mg/l without cause for error, then the patient was eligible for the study. The eligible patients could be included by the investigator through an automated telephone connection with the coordinating center (Department of Clinical Pharmacology, Lyon, France). For all included patients, a blood sample was then sent to the central laboratory for HbA1c measurement (15) (range of normal values 4.0–5.6%). In addition, serum, plasma, and DNA samples were collected from the French participants on this occasion for ongoing substudies.

Statistical analysis
Results are given as means ± SD or median (range). For variables with a skew distribution, a log-transformation was performed, as requested. The aim of this work was to examine the contributions of selected variables on the risk of selection for the DIABHYCAR trial because of high urinary albumin by comparing patients selected for the trial to those not selected and by taking into account the patients' geographical origin. Because the majority of patients were French, we grouped patients of several countries of the same geographical area to cut down the contribution of the French participants in the data analysis. Country groups were constituted so that patient numbers could be rounded up to 1,000: Germany (sufficient by itself); group 1 (Northwest Europe: Belgium, the Netherlands, Switzerland, and the U.K.); group 2 (Central Europe: Austria, Czech Republic, Hungary, and Slovenia); group 3 (Mediterranean Europe: Croatia, Greece, Spain, and Turkey); and group 4 (North Africa: Morocco and Tunisia). A two-factor analysis of variance was used to examine the independent effects of inclusion into the study (yes/no), of the geographical origin, and of their interaction on selected quantitative variables. For qualitative variables, 2 tests were used. To examine the independent effects of selected variables on risk for selection into the trial because of micro- and macroalbuminuria in the screened type 2 diabetic patients, a logistic regression analysis was performed using the following variables (the quantitative variables were dichotomized because their distributions were not normal): age (median <65/>65 years), sex (female/male), BMI (mean <28.8/>28.8 kg/m2), systolic blood pressure (sBP) (<140/>140 mmHg), diastolic blood pressure (dBP) (<85/>85 mmHg), tobacco consumption (no cigarettes/>1 cigarette per day), alcohol consumption (no drinks/>1 drink per day), previous myocardial infarction (no/yes), retinopathy (no/yes), fasting plasma glucose (mean <9.3/>9.3 mmol/l), and geographical origin. Because the respective contributions of several potential determinants for micro- and macroalbuminuria (16) may vary according to geographical origin, this analysis was repeated independently for each of the country groups.

RESULTS

Recruitment procedure
The investigators from the various countries participated as follows (number of centers per number of screened patients per number of included patients): Austria 79/330/86, Belgium 45/387/43, Croatia 4/167/82, Czech Republic 31/343/150, France 6,429/20,296/3,438, Germany 104/918/259, Greece 5/516/152, Hungary 29/167/64, Morocco 30/863/204, the Netherlands 3/209/24, Slovenia 1/129/62, Spain 6/59/34, Switzerland 79/196/63, Tunisia 41/431/95, Turkey 8/217/63, and the U.K. 22/227/118. A series of patients were eliminated from the screening procedure: 374 because their age was <50 years, 152 because they did not take oral antidiabetic drugs, 53 because they were taking insulin, and 134 because their plasma creatinine was >150 µmol/l. These patients were not taken for analysis in this study. As a whole, 25,455 type 2 diabetic patients were screened. After urine specimens with a possible cause for error (leucocyturia and/or hematuria) had been double-checked, 14,987 urine samples were negative (UAE <20 mg/l) at first specimen examination, 9,753 were positive (UAE >20 mg/l), and 715 were positive but with concomitant leucocyturia and/or hematuria. As a result, a urine specimen for second screening was obtained from 7,922 subjects. Of them, 1,747 specimens were negative (UAE <20 mg/l), 5,972 were positive (>20 mg/l), and 203 were positive but with concomitant leucocyturia and/or hematuria. Then, 5,972 patients were eligible; of them, 4,937 completed the randomization procedure on 31 March 1998 (Fig. 1).

010765a.gif (21373 bytes)
Figure 1—Tracking of the 25,455 patients screened for the DIABHYCAR Study. Positive/negative urine specimen: urinary albumin concentration >/<20 mg/l. Error causes: positive leucocyturia and/or hematuria detected by dipsticks (Multistix®).

Patient characteristics
The main characteristics of the screened patients are given in Tables 1–4, according to whether or not they were randomized into the DIABHYCAR trial and according to their geographical origins. Compared with the patients not selected, patients randomized into the trial were older, more often men than women, and more obese, and smoked tobacco and drank alcohol more often (Table 1). Their diabetes duration was longer and they had poorer glycemic control and displayed retinopathy more often (Table 2). They displayed higher sBP and dBP, and the percentage of hypertensive subjects was higher among the randomized patients (Table 3). Lastly, previous angina pectoris, myocardial infarction, stroke, lower-limb arteritis, and diabetic retinopathy were more frequent among the randomized patients than among the other patients (Table 4).

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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).

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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).

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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 (2.289–12.037, 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).

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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
On 31 March 1998, the following primary outcomes had been observed after 6,545 patient-years of follow-up: 59 myocardial infarctions, 31 sudden deaths, 68 cardiovascular deaths, 61 strokes, 99 cases of congestive heart failure, and 1 end-stage renal failure.

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 -blockers, while the event rates of these two types of complications were similar. Regarding kidney function, a monocenter study comparing lisinopril to atenolol in type 2 diabetic patients with proteinuria did not favor lisinopril in terms of glomerular filtration rate evolution (6). Finally, the hypertensive type 2 diabetic patients of the UKPDS who received intensive antihypertensive treatment did not benefit from captopril compared with atenolol, and the incidence of microalbuminuria or proteinuria was similar (7). Thus, a strategy for type 2 diabetic patients based on ACE inhibitors administered because of high urinary albumin must be validated independently of the ACE inhibitors' hypotensive effect. This is why a low dose of ramipril, able to act on surrogate end points like microalbuminuria (10) or left ventricular hypertrophy (11) without discernable effects on blood pressure, was chosen for comparison versus placebo for the DIABHYCAR Study (8). This treatment is tested in addition to the currently recommended treatments for type 2 diabetic subjects. Blood pressure targets recommended by the DIABHYCAR Scientific Committee are <140/90 mmHg initially. Because of the results of the UKPDS (22) and the Hypertension Optimal Treatment Study (20), theses targets were recently adjusted to a dBP of <85 mmHg.

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 (1946–1997), who implemented the urinary albumin screening phase of the DIABHYCAR Study.


APPENDIX

Members of the DIABHYCAR Study Group
Ph. Passa (President), Fr. Alhenc-Gelas, J.P. Boissel, F. Cambien, G. Chatellier, S. Etienne, A. Girault-Louvel, P. Gueret, M. Lievre, J. Mann, M. Marre, J. Menard, P.F. Plouin, D. Vasmant, L. Vaur, G.C. Viberti, and C. Weisselberg.


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From 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.


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