OBJECTIVE—To clarify mortality and morbidity of intensively managed elderly diabetic individuals and to explore factors predicting mortality and diabetes-related end points.

RESEARCH DESIGN AND METHODS—A total of 390 elderly (≥65 years of age) outpatients with type 2 diabetes ( 173 men and 217 women, mean age 73.0 years) were analyzed. The mean HbA1c upon entry was 6.8% (332 receiving oral hypoglycemics and/or insulin) and blood pressure upon entry was 136/74 mmHg (219 receiving antihypertensive drugs). The patients have been followed-up for 3 years with HbA1c <7.0% and blood pressure <145/80 mmHg as targets, with mortality and an aggregate of fatal and nonfatal diabetes-related events as end points. Mortality rate and causes of mortality, as well as risk factors for mortality and morbidity, were determined.

RESULTS—The mortality rate, 2.9% per year, was comparable to that of the age- and sex-matched general population. Stroke was a leading cause of mortality after malignancy. By the univariate Cox proportional hazards model, only high serum creatinine and prior stroke were highly significant and strong risks for both end points. In those without prior stroke and receiving antihypertensive agents, the incidence of the diabetes-related end point based on their systolic blood pressure (SBP) quartile was U-shaped, with the nadir at the 3rd (SBP, 137–147 mmHg) and the peak at the 1st (SBP ≤ 125 mmHg) quartile.

CONCLUSIONS—In well-controlled elderly diabetic subjects, there was no excessive mortality compared to the age- and sex-matched general population. Renal dysfunction and prior stroke were independent risks for mortality and morbidity. In those without prior stroke, a risk of too much lowering of blood pressure was suggested.

In young patients with type 1 diabetes, control of plasma glucose (PG) is important to prevent development and progression of microvascular complications (1). The value of controlling glycemia and blood pressure in preventing diabetic microangiopathic complication is also well established in studies of middle-aged patients with type 2 diabetes (24). The number of elderly patients with type 2 diabetes is rapidly increasing worldwide (57). However, the value of diabetes control has not been established in this group (7). The beneficial effect of glycemic control for the prevention of diabetic retinopathy has been documented only in two small-scale studies (8,9). An association of poor metabolic control and longer duration of diabetes with stroke and coronary heart disease was observed in another cohort (10,11). Thus, a proposed glycemic target for elderly diabetic subjects, “… ‘ideal levels’ are levels within the normal range for people without diabetes… ” (12), is not supported by concrete evidence. One cannot simply extrapolate the data of young or middle-aged patients to the elderly. This is because aging per se is a strong, unmodifiable risk for mortality and therefore the relative contribution of any modifiable risks associated with diabetes would progressively be smaller with aging (13). In addition, deleterious effects of hyperglycemia on the tissue may not be identical in young and aged subjects (14) or may be considerably modified by coexisting diseases in the elderly.

Because elderly diabetic subjects have been managed with relatively tight treatment targets in our group, we performed a prospective, longitudinal study in such a cohort. We examined the mortality rates and causes of death, and investigated what demographic factors and baseline measurements, and what aspects of medical history, predict mortality and diabetes-related end points.

Study cohort

During April and August 1998, patients were registered at the outpatient clinic of Koshoku-Chuo Hospital, Asama General Hospital, Nagano-Chuo Hospital and Shinshu University Hospital, in Nagano-prefecture, Japan. A diagnosis of type 2 diabetes was based on the World Health Organization criteria (15). Those older than 65 years and attending each hospital for longer than 1 year were consecutively registered. The latter was included into the enrollment criteria to minimize the dropout during the study. The study was initiated on 1 September 1998 and closed on 31 August 2001. Patients on hemodialysis or with clinically overt, uncured malignancy were excluded. The study is community based; however, in Japan, there is no clear-cut distinction between a community hospital, a primary care unit, and a referral center. The patients were all ethnic Japanese. A total of 413 patients were registered: 206 at Koshoku-Chuo Hospital, 97 at Asama General Hospital, 66 at Nagano-Chuo Hospital, and 44 at Shinshu University Hospital. Of the patients, 23 (5.6%) dropped out during the follow-up; the data of 390 (94.4%) patients were used for analysis. Major clinical characteristics of the patients who dropped out and the analyzed patients were not significantly different (data not shown).

Study design

Upon registration, measurement of postprandial (2–4 h after breakfast) PG, HbA1c, and serum chemistry including blood urea nitrogen, creatinine, total cholesterol, HDL cholesterol, triglycerides, and urinalysis was performed and an electrocardiogram taken. Blood samples for lipid measurement were obtained before breakfast. The serum LDL cholesterol was determined by Friedewald’s calculation (16). BMI was calculated as kg/m2. Urinary excretion of albumin was determined by a quantitative method (17) using a random sample (>30 mg/g creatinine regarded as positive). The presence of micro- and macroangiopathies was judged as reported (18,19). In brief, the retinae were examined by ophthalmologists after dilation of the pupils, and nonproliferative and proliferative changes were separately recorded. When macroproteinuria (positive for protein by a conventional dipstick method) was present, diabetic nephropathy was judged to be present. Microalbuminuria alone was not taken as a basis for nephropathy because of low specificity of it as a marker of diabetic nephropathy in elderly diabetic subjects. A diagnosis of diabetic neuropathy was made on a clinical basis (18,19). A history of malignant disorders, myocardial infarction, and stroke was registered. For these events, only those necessitating hospitalization to medical facilities were taken into account. The duration of diabetes, family history of diabetes within third-degree relatives, smoking, and the past maximum body weight were also recorded. The data of the general population in Nagano-prefecture were obtained from the Nagano Municipal Health Center and the data of the general population of all of Japan from the official publication of the Ministry of Health and Welfare, Japan.

We treated the patients with the following guidelines. A recommendation to reduce caloric intake was made to those with a BMI ≥25 kg/m2. A recommendation for mild exercise (such as walking for 30 min/day) was made to those without neuromuscular and arthritic problems. HbA1c <7.0% was targeted if hypoglycemia necessitating third-party assistance or medical intervention did not develop. HbA1c <6.5% was targeted if no hypoglycemia developed. A blood pressure <140/70 mmHg for those <69 and 145/80 for those >70 years of age was targeted if symptoms, such as dizziness related to the use of antihypertensive drugs, did not develop. The goal was total cholesterol <240 mg/dl. We explained to the patients that tight control of glycemia and blood pressure was recommended and most likely beneficial in the elderly but the value of it was not firmly established. Then, if the patient did not wish to receive treatment with the above-mentioned guidelines, the treatment targets were loosened. Also, when the patient could not expect third-party assistance if hypoglycemia developed (such as living alone), or the patient’s understanding of and/or reaction to hypoglycemia were considered insufficient, glycemic control by pharmacological agents was relaxed.

In our group, the above-mentioned guidelines were utilized with elderly patients with diabetes well before the study. Therefore, there was no implementation of new intervention at the beginning of the study. The patients were followed for 3 years with the same guidelines by M.K., M.N., T.K., and T.A. Outpatient clinic visits were every 4 weeks. The patients were directly seen and examined by the doctors at each visit, and GHbA1c, postprandial PG, blood pressure, and body weight were measured.

Two end points were defined. One was death and the other was a diabetes-related aggregate end point included visual loss, end-stage renal failure necessitating hemodialysis, fatal and nonfatal myocardial infarction, angina pectoris, fatal and nonfatal stroke, amputation of an extremity or digit, and sudden death.

HbA1c (normal range 4.5–5.8%) was determined by high-performance liquid chromatography in the clinical laboratory of each hospital. By comparison with the standard provided by the Japan Diabetes Society Glycohemoglobin Standardization Program (20), the maximum interlaboratory variation was 0.2%.

Statistical analysis

Cox proportional hazards model, the χ2 analysis, logistic regression analysis, and one-way ANOVA were used (StatView; SAS, Cary, NC) and P < 0.05 was considered significant. Occurrence of the end points was also analyzed as a function of the quartile of the baseline variables as needed.

Baseline characteristics of the study cohort

As shown in Table 1, the mean age, duration of diabetes, HbA1c and BMI were 73.0 and 15.2 years, 6.8%, and 23.4 kg/m2, respectively. A total of 332 patients (85%) were receiving oral hypoglycemic agents and/or insulin. In insulin-treated patients (n = 152, 39%), the mean dose was 25 units/day (0.44 units · kg−1 body wt · day−1). Of the patients, 294 (75%) and 108 (28%) had micro- and macroangiopathic complications, respectively. The mean blood pressure was 136/74 mmHg with 219 (56%) receiving antihypertensive agents, mostly Ca2+ channel blockers and ACE inhibitors (Table 1).

Mortality and occurrence of the diabetes-related end points during the follow-up period

During the 3-year follow-up, 34 patients died. Major causes of death were malignant disorders (n = 12, 35%), strokes (n = 9, 26%), and myocardial infarctions (n = 4, 12%). The mortality rate of the study population was 8.7% per 3 years (2.9% per years), which was comparable to that of the age- and sex-matched population of Nagano-prefecture, 2.8% per year, or that of the age- and sex-matched total Japanese population, 3.2% per year. During follow-up, 42 patients experienced diabetes-related end points, of which 16 were fatal and 26 nonfatal. Two patients died due to sepsis and pneumonia, respectively, after full recovery from nonfatal diabetes-related events. Diabetes-related fatal events were nine strokes, four myocardial infarctions, two sudden deaths, and one cachexia associated with hemodialysis. Nonfatal events included 16 strokes, 3 myocardial infarctions, 1 angina pectoris, 2 incidents of visual loss, and 5 incidents of end-stage renal failure. One patient experienced nonfatal cerebral hemorrhage after placement of hemodialysis. Baseline characteristics of each subgroup of patients are also shown in Table 1.

Risk factors for mortality and the diabetes-related end point

Relative risk (RR) of each baseline characteristic for death and occurrence of the diabetes-related end point and its significance are shown in Table 2. By the univariate Cox proportional hazards model, male sex, age, high serum creatinine (Scr), greater ΔBMI (reduction from the maximum BMI), history of macroangiopathy and stroke, and current smoking status were significant risks. Significant risk reduction was observed in nonsmokers. Microalbuminuria and macroproteinuria, respectively, were progressively stronger risk factors. Among them, only high Scr and prior stroke were highly significant (P < 0.0001) and strong (RR >3.0) risks. As a quantitative index of renal dysfunction, high Scr was employed in the following analyses. Multivariate analysis by Cox proportional hazards model was performed with incorporation of 10 variables. The six variables listed above (sex, age, Scr, prior stroke, delta BMI, and current smoking status) were taken. Duration of diabetes, systolic blood pressure (SBP), PG, and HbA1c were additionally incorporated into the analysis because these variables were identified as risks in previous studies of middle-aged or elderly patients with diabetes (10,11,2126). In this analysis, only high Scr (RR 2.988, P = 0.0002) and prior stroke (RR 4.587, P < 0.0001) were identified as significant, independent risk factors. It should be noted that the number of events per variable was too small to avoid overadjustment (27). Therefore, the data of the multivariate analysis should be interpreted with a caution. Current smoking was associated with significantly higher mortality rate (3.5 times higher than in non- or exsmokers) in those with both nephropathy and prior stroke.

By the univariate Cox proportional hazards model, age, greater ΔBMI, high PG, high Scr, presence of microangiopathy, background retinopathy and neuropathy, and history of macroangiopathy and stroke were significant risks for the diabetes-related end point (Table 2). Microalbuminuria and macroproteinuria, respectively, were progressively stronger risk factors. Significant risk reduction was observed with greater BMI and a nonsmoking status. Here again, only high Scr and prior stroke were highly significant (P < 0.0001) and strong (RR >3.0) risks. By multivariate analysis, only age (RR 1.115, P = 0.002), high Scr (RR 3.278, P < 0.0001), and prior stroke (RR 3.784, P < 0.0001) were identified as risk factors. However, the small number of events per variable in the multivariate analysis precludes to draw a definitive conclusion. Hyperglycemia was not a risk by the univariate Cox proportional hazards model even when the microangiopathic events (visual loss and end-stage renal failure, n = 7) were employed as an aggregate end point.

Occurrence of end points as a function of quartile of baseline variables

History of stroke at baseline was an independent strong risk factor for the two end points (see above), and differential effects of glycemia or blood pressure in those with and without prior stroke were well anticipated. Therefore, the patients with and without prior stroke were separately analyzed. An important finding was obtained for distribution of the diabetes-related end point as a function of the SBP quartile. The distribution was J-shaped in those without prior stroke (Fig. 1A). The incidence was lowest at the 2nd quartile (SBP 126–136 mmHg) and highest at the 4th quartile (SBP ≥148 mmHg). Although a higher incidence of the events in the 1st quartile was not statistically significant in this J-shaped distribution, it was a sum of apparently heterogeneous distributions. Namely, in those receiving antihypertensive agents, the distribution was U-shaped (Fig. 1B). The nadir was at the 3rd quartile (SBP, 137–147 mmHg) and the peak at the 1st quartile (SBP ≤125 mmHg). The incidence at the 2nd quartile was almost the same as the 3rd quartile, and that in the 4th quartile was slightly lower than that in the 1st quartile. In this subgroup, the incidence of the diabetes-related end point was significantly higher in the 1st quartile than in the 3rd quartile. Whereas in those without prior stroke and not receiving antihypertensive agents, such U-shaped distribution was not found. (Fig. 1C). In the patients with prior stroke, incidence of the diabetes-related end point was lowest at the 4th SBP quartile (Fig. 1D). However, the four values in Fig. 1D were not significantly different from each other.

Mortality rates as a function of the SBP quartile were not significantly different irrespective of the presence or absence of a prior stroke (data not shown). Similarly, mortality rates and the incidence of diabetes-related end point as a function of other baseline characteristics (duration of diabetes, PG, HbA1c, serum lipids, diastolic blood pressure, and mean blood pressure) were not significantly different (data not shown).

Hypoglycemic episodes and the trend of glycemic control during the study

Hypoglycemia necessitating third-party assistance occurred 10 times in the entire cohort during the 3-year study period (0.9 per 100 person per year). None of the hypoglycemic events was directly related to mortality or a diabetes-related end point. In 235 randomly selected patients (60% of the study population) HbA1c levels did not significantly change during follow-up. The mean (±SD) values upon entry and at the end were, in fact, identical (6.8 ± 1.1%).

Increased mortality in patients with diabetes in general (2831) and in an elderly subgroup (21,32) has been well established. In contrast, the mortality rate of the current cohort was no more than that of an age- and sex-matched general population. It should be noted that the cohort consists of patients who were not particularly at low risk. We excluded only those on hemodialysis and uncured malignancy. Due to the observational nature of our study, we could not prove a cause-result relationship. More precisely, the breakdown was the same between the diabetic subjects and the general population for age and sex only. Nevertheless, we consider the normal mortality rate of the cohort to be attributable to the intensive treatment. In this study, risk factors were more intensively analyzed than outcome events to determine the residual risks after intensive glycemic and blood pressure control in elderly diabetic subjects. Under this condition, only renal dysfunction and prior stroke were highly significant and strong risks for mortality and a diabetes-related end point.

We found that Japanese patients with type 2 diabetes have clearly different sets of causes of mortality and morbidity compared to their Caucasian counterparts (2). Namely, stroke was much more common than myocardial infarction in Japanese patients. It may be due to genetic factors, but it also may be related to differences in weight in the two populations. The rate for malignancy (35% of the deaths) was higher than that seen in Caucasian patients with diabetes (2,33). This is most likely a reflection of a much lower rate for cardiac events (12%) in our cohort. In another study of the Japanese elderly population at large, the rate for malignancy was 38 and 24% of the deaths in men and women, respectively (34). Rosenthal et al. (33) performed a prospective analysis of risk factors for mortality in 137 elderly patients with diabetes and concluded that depression was the best predictor of mortality. They did not incorporate prior stroke into the analysis and we did not perform psychiatric evaluation of the patients. Those with prior stroke might have an increased prevalence of depression. If so, the results of our study and the study of Rosenthal et al. (33) may indicate a similar, if not identical, trend of risk factor for mortality.

In patients without prior stroke receiving antihypertensive agents, the incidence of diabetes-related end point as a function of SBP quartile was U-shaped. In those not receiving antihypertensive agents, such U-shaped distribution was not found. The finding suggests that a pharmacologically induced lower blood pressure (SBP ≤125 mmHg) is not a good sign. The high event rate, albeit not statistically significant, in the subjects with prior stroke who have lower SBP currently, is also worrisome. Antihypertensive treatment and the J-curve has been debated (35). Nevertheless, in the past, there was no prospective study evaluating benefit or risk of antihypertensive treatment in elderly diabetic subjects.

Glycemia in the cohort (the mean HbA1c, 6.8%) may be sufficiently low so that it was not a risk any longer. The study was not to compare tight and poor control. Nonetheless, it was rather unexpected that hyperglycemia was not a risk for any end points in the face of a relatively large difference in the mean HbA1c values between the highest and lowest quartiles, 8.3% and 5.6%, respectively. The patients at the 4th HbA1c quartile had a longer duration of diabetes than those in the 1st quartile (18.0 ± 9.9 vs. 11.9 ± 9.3 years, P < 0.0001). Upon entry, the former group had a higher prevalence of diabetic microangiopathy than the latter (85% vs. 64%, P = 0.007), and the use of hypoglycemic agents and insulin was more frequent in the former than in the latter (all hypoglycemic agents 97% vs. 58%, insulin 48% vs. 14%, respectively, each with P < 0.0001). The fact that such a seemingly high-risk group did not experience an increased incidence of end points suggests that hyperglycemia, in the range and duration observed in the current study, contributes little to morbidity and mortality.

For attaining low glycemic control with fewer hypoglycemic events, we consider frequent contacts of the doctor and patient, such as once a month (as in the current study), important. However, to prove this hypothesis, a control study is clearly needed.

In conclusion, we found a normal mortality rate in intensively managed elderly diabetic subjects. A randomized control study should definitively decide the optimal levels of control and establish the risk, if any, of too much lowering of blood pressure.

Figure 1—

Incidence of the diabetes-related end point as a function of the quartile of SBP. A: All patients without prior stroke (n = 328). B: Those without prior stroke and currently receiving antihypertensive agents (n = 182). C: Those without prior stroke and currently not receiving antihypertensive agents (n = 146). D: Patients with prior stroke (n = 62; 37 of them were receiving antihypertensive agents). The distribution was proved to be uneven by the χ2 analysis only in Fig. 1B (P = 0.0193); *P = 0.0353 vs. 1st quartile, and P = 0.0337 vs. 4th quartile (Fig. 1B). Regarding all variables listed in Table 1, no significant difference was found among the four SBP quartiles in Fig. 1B by ANOVA (for the numerical variables) and by the χ2 analysis (for the nominal variables). For definition of the diabetes-related end point, see research design and methods.

Figure 1—

Incidence of the diabetes-related end point as a function of the quartile of SBP. A: All patients without prior stroke (n = 328). B: Those without prior stroke and currently receiving antihypertensive agents (n = 182). C: Those without prior stroke and currently not receiving antihypertensive agents (n = 146). D: Patients with prior stroke (n = 62; 37 of them were receiving antihypertensive agents). The distribution was proved to be uneven by the χ2 analysis only in Fig. 1B (P = 0.0193); *P = 0.0353 vs. 1st quartile, and P = 0.0337 vs. 4th quartile (Fig. 1B). Regarding all variables listed in Table 1, no significant difference was found among the four SBP quartiles in Fig. 1B by ANOVA (for the numerical variables) and by the χ2 analysis (for the nominal variables). For definition of the diabetes-related end point, see research design and methods.

Close modal
Table 1—

Baseline characteristics of the patients*

CharacteristicAllNDDM
n 390 332 34 42 
Men/women (%) 44/56 42/58 65/35 57/43 
Age (years) 73.0 ± 5.1 72.7 ± 5.0 75.3 ± 6.4 75.5 ± 4.6 
Current BMI (kg/m223.4 ± 3.3 23.5 ± 3.2 22.8 ± 4.7 22.4 ± 2.6 
Past maximum BMI (kg/m226.7 ± 3.6 26.6 ± 3.5 27.1 ± 4.8 26.9 ± 3.3 
ΔBMI (kg/m2−3.4 ± 2.7 −3.3 ± 2.5 −4.4 ± 2.9 −4.4 ± 3.6 
Duration of diabetes (years) 15.2 ± 9.7 15.1 ± 10.0 16.0 ± 11.1 15.6 ± 9.8 
Positive family history of diabetes (%) 48 48 38 48 
Plasma glucose (mmol/l) 9.8 ± 3.3 9.7 ± 3.3 10.6 ± 3.4 10.9 ± 2.9 
HbA1c (%) 6.8 ± 1.1 6.8 ± 1.1 6.7 ± 1.0 6.8 ± 1.0 
Serum creatinine (μmol/l) 70.7 ± 35.3 61.9 ± 26.5 70.7 ± 8.8 106.1 ± 70.7 
Total cholesterol (mmol/l) 5.09 ± 0.91 5.09 ± 0.91 4.99 ± 1.03 5.25 ± 0.88 
HDL cholesterol (mmol/l) 1.42 ± 0.44 1.45 ± 0.44 1.34 ± 0.34 1.34 ± 0.34 
LDL cholesterol (mmol/l) 3.00 ± 0.88 2.97 ± 0.85 2.82 ± 0.93 3.15 ± 0.93 
Triglycerides (mmol/l) 1.42 ± 0.85 1.41 ± 0.83 1.63 ± 1.22 1.58 ± 1.06 
Blood pressure (mmHg)     
 SBP 136 ± 16 137 ± 16 135 ± 17 138 ± 17 
 Diastolic blood pressure 74 ± 10 74 ± 10 74 ± 11 72 ± 9 
 Mean blood pressure 95 ± 10 95 ± 10 94 ± 11 94 ± 10 
Use of hypoglycemic agents (%) 85 85 85 81 
Use of oral hypoglycemics (%) 55 56 56 50 
 Sulfonylurea (%) 47 48 47 45 
 α-Glucosidase inhibitor (%) 13 13 18 10 
 Biguanide (%) 
 Thiazolidinedione (%) 
Use of insulin (%) 39 39 38 36 
Use of lipid-lowering agents (%) 13 13 12 
 HMG CoA RI (%) 10 
 Others (%) 
Microangiopathy (%) 75 74 76 88 
 Retinopathy (%) 31 28 41 50 
 Neuropathy (%) 69 67 68 86 
 Macroproteinuria (%) 23 20 50 45 
 Scr ≥2 mg/dl (%) 12 12 
Microalbuminuria (%) 51 47 68 73 
Macroangiopathy (%) 28 25 50 50 
 Myocardial infarction (%) 15 14 15 14 
 Stroke (%) 16 12 41 40 
Use of antihypertensives (%) 56 56 59 62 
 Ca2+ channel blocker (%) 45 44 53 52 
 ACEI (%) 27 26 35 33 
 Others (%) 18 18 24 24 
Smoking     
 No (%) 62 65 35 48 
 Ex (%) 16 15 24 21 
 Current (%) 22 20 41 31 
Malignancy (%) 12 
CharacteristicAllNDDM
n 390 332 34 42 
Men/women (%) 44/56 42/58 65/35 57/43 
Age (years) 73.0 ± 5.1 72.7 ± 5.0 75.3 ± 6.4 75.5 ± 4.6 
Current BMI (kg/m223.4 ± 3.3 23.5 ± 3.2 22.8 ± 4.7 22.4 ± 2.6 
Past maximum BMI (kg/m226.7 ± 3.6 26.6 ± 3.5 27.1 ± 4.8 26.9 ± 3.3 
ΔBMI (kg/m2−3.4 ± 2.7 −3.3 ± 2.5 −4.4 ± 2.9 −4.4 ± 3.6 
Duration of diabetes (years) 15.2 ± 9.7 15.1 ± 10.0 16.0 ± 11.1 15.6 ± 9.8 
Positive family history of diabetes (%) 48 48 38 48 
Plasma glucose (mmol/l) 9.8 ± 3.3 9.7 ± 3.3 10.6 ± 3.4 10.9 ± 2.9 
HbA1c (%) 6.8 ± 1.1 6.8 ± 1.1 6.7 ± 1.0 6.8 ± 1.0 
Serum creatinine (μmol/l) 70.7 ± 35.3 61.9 ± 26.5 70.7 ± 8.8 106.1 ± 70.7 
Total cholesterol (mmol/l) 5.09 ± 0.91 5.09 ± 0.91 4.99 ± 1.03 5.25 ± 0.88 
HDL cholesterol (mmol/l) 1.42 ± 0.44 1.45 ± 0.44 1.34 ± 0.34 1.34 ± 0.34 
LDL cholesterol (mmol/l) 3.00 ± 0.88 2.97 ± 0.85 2.82 ± 0.93 3.15 ± 0.93 
Triglycerides (mmol/l) 1.42 ± 0.85 1.41 ± 0.83 1.63 ± 1.22 1.58 ± 1.06 
Blood pressure (mmHg)     
 SBP 136 ± 16 137 ± 16 135 ± 17 138 ± 17 
 Diastolic blood pressure 74 ± 10 74 ± 10 74 ± 11 72 ± 9 
 Mean blood pressure 95 ± 10 95 ± 10 94 ± 11 94 ± 10 
Use of hypoglycemic agents (%) 85 85 85 81 
Use of oral hypoglycemics (%) 55 56 56 50 
 Sulfonylurea (%) 47 48 47 45 
 α-Glucosidase inhibitor (%) 13 13 18 10 
 Biguanide (%) 
 Thiazolidinedione (%) 
Use of insulin (%) 39 39 38 36 
Use of lipid-lowering agents (%) 13 13 12 
 HMG CoA RI (%) 10 
 Others (%) 
Microangiopathy (%) 75 74 76 88 
 Retinopathy (%) 31 28 41 50 
 Neuropathy (%) 69 67 68 86 
 Macroproteinuria (%) 23 20 50 45 
 Scr ≥2 mg/dl (%) 12 12 
Microalbuminuria (%) 51 47 68 73 
Macroangiopathy (%) 28 25 50 50 
 Myocardial infarction (%) 15 14 15 14 
 Stroke (%) 16 12 41 40 
Use of antihypertensives (%) 56 56 59 62 
 Ca2+ channel blocker (%) 45 44 53 52 
 ACEI (%) 27 26 35 33 
 Others (%) 18 18 24 24 
Smoking     
 No (%) 62 65 35 48 
 Ex (%) 16 15 24 21 
 Current (%) 22 20 41 31 
Malignancy (%) 12 
*

Plus-minus values are means ± SD. N, the patients who did not experience end points during the study; D, deceased; DM, the patients who developed a diabetes-related end point (for definition of diabetes-related end point, see research design and methods).

Microalbuminuria was determined in 368 patients and not determined in 22. RI, reductase inhibitor; ACEI, ACE inhibitor.

Table 2—

Baseline characteristics as risk for mortality and the diabetes-related end point

VariableMortality
Diabetes-related end point
PRR (95% CI)PRR (95% CI)
Male sex 0.014 2.400 (1.187–4.849) 0.070 1.759 (0.954–3.241) 
Age 0.007 1.090 (1.024–1.160) 0.001 1.098 (1.039–1.160) 
Current BMI 0.275 0.941 (0.845–1.049) 0.027 0.894 (0.809–0.988) 
Past maximum BMI 0.551 1.030 (0.934–1.136) 0.726 1.016 (0.931–1.107) 
ΔBMI 0.033 1.139 (1.011–1.284) 0.009 1.155 (1.037–1.287) 
Duration of diabetes 0.566 1.010 (0.976–1.045) 0.815 1.004 (0.973–1.035) 
Family history of diabetes 0.238 0.659 (0.330–1.317) 0.941 0.977 (0.533–1.791) 
Plasma glucose 0.152 1.004 (0.999–1.009) 0.021 1.006 (1.001–1.010) 
HbA1c 0.571 0.911 (0.661–1.256) 0.927 0.987 (0.748–1.303) 
Creatinine <0.0001 3.232 (2.240–4.664) <0.0001 3.346 (2.395–4.674) 
Total cholesterol 0.427 0.996 (0.987–1.006) 0.299 1.005 (0.996–1.013) 
HDL cholesterol 0.280 0.987 (0.965–1.010) 0.193 0.986 (0.966–1.007) 
LDL cholesterol 0.205 0.993 (0.983–1.004) 0.236 1.006 (0.996–1.015) 
Triglycerides 0.153 1.002 (0.999–1.006) 0.190 1.002 (0.999–1.005) 
Blood pressure     
 SBP 0.461 0.992 (0.972–1.013) 0.476 1.007 (0.988–1.026) 
 Diastolic blood pressure 0.810 0.996 (0.961–1.032) 0.140 0.976 (0.945–1.008) 
 Mean pressure 0.584 0.991 (0.959–1.024) 0.578 0.992 (0.963–1.021) 
Hypoglycemic agents 0.961 1.024 (0.396–2.645) 0.801 0.901 (0.400–2.029) 
 Oral hypoglycemics 0.944 1.024 (0.521–2.016) 0.479 0.804 (0.439–1.472) 
 Sulfonylurea 0.954 0.980 (0.500–1.923) 0.748 0.905 (0.493–1.662) 
 α-Glucosidase inhibitor 0.427 1.430 (0.529–3.454) 0.501 0.702 (0.250–1.966) 
 Metformin 0.377 0.408 (0.056–2.987) 0.586 0.674 (0.163–2.788) 
 Insulin 0.945 0.976 (0.489–1.950) 0.696 0.882 (0.447–1.658) 
Microangiopathy 0.862 1.073 (0.486–2.370) 0.049 2.560 (1.006–6.514) 
 Retinopathy     
  Background 0.202 1.576 (0.784–3.170) 0.012 2.188 (1.186–4.037) 
  Proliferative 0.854 1.118 (0.340–3.670) 0.761 1.174 (0.418–3.293) 
 Neuropathy 0.769 0.898 (0.438–1.842) 0.024 2.711 (1.142–6.436) 
 Macroproteinuria 0.002 3.659 (1.848–7.243) 0.0003 3.113 (1.685–5.753) 
Microalbuminuria 0.024 2.346 (1.117–4.930) 0.027 2.883 (1.444–5.754) 
Macroangiopathy 0.003 2.752 (1.405–5.390) 0.001 2.753 (1.503–5.041) 
 Myocardial infarction 0.887 1.071 (0.415–2.768) 0.976 1.013 (0.427–2.405) 
 Stroke <0.0001 4.105 (2.072–8.129) <0.0001 4.085 (2.205–7.570) 
Antihypertensive agents 0.767 1.109 (0.560–2.195) 0.407 1.302 (0.698–2.427) 
 Ca2+ channel blocker 0.356 1.374 (0.700–2.694) 0.301 1.376 (0.751–2.522) 
 ACEI 0.281 1.472 (0.729–2.975) 0.334 1.372 (0.722–2.605) 
Smoking     
 No 0.002 0.324 (0.160–0.695) 0.042 0.534 (0.291–0.979) 
 Ex 0.229 1.626 (0.736–3.591) 0.332 1.440 (0.689–3.010) 
 Current 0.007 2.579 (1.302–5.106) 0.121 1.677 (0.872–3.227) 
Malignancy 0.359 1.630 (0.574–4.628) 0.477 0.597 (0.144–2.472) 
VariableMortality
Diabetes-related end point
PRR (95% CI)PRR (95% CI)
Male sex 0.014 2.400 (1.187–4.849) 0.070 1.759 (0.954–3.241) 
Age 0.007 1.090 (1.024–1.160) 0.001 1.098 (1.039–1.160) 
Current BMI 0.275 0.941 (0.845–1.049) 0.027 0.894 (0.809–0.988) 
Past maximum BMI 0.551 1.030 (0.934–1.136) 0.726 1.016 (0.931–1.107) 
ΔBMI 0.033 1.139 (1.011–1.284) 0.009 1.155 (1.037–1.287) 
Duration of diabetes 0.566 1.010 (0.976–1.045) 0.815 1.004 (0.973–1.035) 
Family history of diabetes 0.238 0.659 (0.330–1.317) 0.941 0.977 (0.533–1.791) 
Plasma glucose 0.152 1.004 (0.999–1.009) 0.021 1.006 (1.001–1.010) 
HbA1c 0.571 0.911 (0.661–1.256) 0.927 0.987 (0.748–1.303) 
Creatinine <0.0001 3.232 (2.240–4.664) <0.0001 3.346 (2.395–4.674) 
Total cholesterol 0.427 0.996 (0.987–1.006) 0.299 1.005 (0.996–1.013) 
HDL cholesterol 0.280 0.987 (0.965–1.010) 0.193 0.986 (0.966–1.007) 
LDL cholesterol 0.205 0.993 (0.983–1.004) 0.236 1.006 (0.996–1.015) 
Triglycerides 0.153 1.002 (0.999–1.006) 0.190 1.002 (0.999–1.005) 
Blood pressure     
 SBP 0.461 0.992 (0.972–1.013) 0.476 1.007 (0.988–1.026) 
 Diastolic blood pressure 0.810 0.996 (0.961–1.032) 0.140 0.976 (0.945–1.008) 
 Mean pressure 0.584 0.991 (0.959–1.024) 0.578 0.992 (0.963–1.021) 
Hypoglycemic agents 0.961 1.024 (0.396–2.645) 0.801 0.901 (0.400–2.029) 
 Oral hypoglycemics 0.944 1.024 (0.521–2.016) 0.479 0.804 (0.439–1.472) 
 Sulfonylurea 0.954 0.980 (0.500–1.923) 0.748 0.905 (0.493–1.662) 
 α-Glucosidase inhibitor 0.427 1.430 (0.529–3.454) 0.501 0.702 (0.250–1.966) 
 Metformin 0.377 0.408 (0.056–2.987) 0.586 0.674 (0.163–2.788) 
 Insulin 0.945 0.976 (0.489–1.950) 0.696 0.882 (0.447–1.658) 
Microangiopathy 0.862 1.073 (0.486–2.370) 0.049 2.560 (1.006–6.514) 
 Retinopathy     
  Background 0.202 1.576 (0.784–3.170) 0.012 2.188 (1.186–4.037) 
  Proliferative 0.854 1.118 (0.340–3.670) 0.761 1.174 (0.418–3.293) 
 Neuropathy 0.769 0.898 (0.438–1.842) 0.024 2.711 (1.142–6.436) 
 Macroproteinuria 0.002 3.659 (1.848–7.243) 0.0003 3.113 (1.685–5.753) 
Microalbuminuria 0.024 2.346 (1.117–4.930) 0.027 2.883 (1.444–5.754) 
Macroangiopathy 0.003 2.752 (1.405–5.390) 0.001 2.753 (1.503–5.041) 
 Myocardial infarction 0.887 1.071 (0.415–2.768) 0.976 1.013 (0.427–2.405) 
 Stroke <0.0001 4.105 (2.072–8.129) <0.0001 4.085 (2.205–7.570) 
Antihypertensive agents 0.767 1.109 (0.560–2.195) 0.407 1.302 (0.698–2.427) 
 Ca2+ channel blocker 0.356 1.374 (0.700–2.694) 0.301 1.376 (0.751–2.522) 
 ACEI 0.281 1.472 (0.729–2.975) 0.334 1.372 (0.722–2.605) 
Smoking     
 No 0.002 0.324 (0.160–0.695) 0.042 0.534 (0.291–0.979) 
 Ex 0.229 1.626 (0.736–3.591) 0.332 1.440 (0.689–3.010) 
 Current 0.007 2.579 (1.302–5.106) 0.121 1.677 (0.872–3.227) 
Malignancy 0.359 1.630 (0.574–4.628) 0.477 0.597 (0.144–2.472) 

ACEI, ACE inhibitor.

We are indebted to Drs. Masao Tanaka, Yasunori Itakura, Miyuki Katai, and Tsuyoshi Inagaki for collecting the data and to Drs. Matthew C. Riddle and Monte A. Greer for editorial assistance.

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Address correspondence and reprint requests to Toru Aizawa, MD, Shinshu University, Center for Health Services, 3-1-1 Asahi, Matsumoto, Japan 390-8621. E-mail: [email protected].

Received for publication 14 June 2002 and accepted in revised form 11 November 2002.

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.