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. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Int J Cardiol. 2016 Jan 7;206:116–121. doi: 10.1016/j.ijcard.2016.01.009

Blood pressure and all-cause mortality among patients with type 2 diabetes

Blood pressure and death risk in diabetic patients

Weiqin Li a,b,1, Peter T Katzmarzyk a,1, Ronald Horswell a,1, Yujie Wang a,1, Jolene Johnson c,1, Gang Hu a,*,1
PMCID: PMC4802857  NIHMSID: NIHMS752651  PMID: 26788685

Abstract

Background

The recommended goal for blood pressure (BP) control has recently been adjusted for people with diabetes, but the optimal BP control range for the diabetic population is still uncertain.

Methods

We performed a prospective cohort study of 35,261 patients with type 2 diabetes. Cox proportional hazards regression models were used to estimate the association of BP with all-cause mortality.

Results

During a mean follow-up period of 8.7 years, 4,199 deaths were identified. The multivariable-adjusted hazard ratios of all-cause mortality associated with different levels of systolic/diastolic BP (<110/65, 110–119/65–69, 120–129/70–80, 130–139/80–90 [reference group], 140–159/90–100, and ≥160/100 mmHg) were 1.70 (95% confidence interval [CI] 1.42–2.04), 1.26 (95% CI 1.07–1.50), 0.99 (95% CI 0.86–1.12), 1.00, 0.92 (95% CI 0.82–1.03), and 1.10 (95% CI 0.98–1.23) using baseline BP measurements, and 2.62 (95% CI 2.00–3.44), 1.77 (95% CI 1.51–2.09), 1.22 (95% CI 1.09–1.36), 1.00, 0.90 (95% CI 0.82–1.00), and 0.98 (95% CI 0.86–1.12) using an updated mean value of BP during follow-up, respectively. The U-shaped associations were confirmed in both African American and white patients, in both men and women, in those who were or were not taking antihypertensive drugs; and in patients aged 30–49 years and 50–59 years.

Conclusions

The current study found a U-shaped association between BP at baseline and during follow-up and the risk of all-cause mortality among patients with type 2 diabetes.

Keywords: blood pressure, type 2 diabetes, all-cause mortality, cohort study

1. Introduction

Hypertension and diabetes are two important public health problems in the US, with hypertension affecting approximately 65 million Americans and diabetes affecting approximately 24 million Americans [13]. About 70% of patients with diabetes aged >40 years are affected by hypertension [2, 3]. In the past 2 decades, clinical guidelines recommended maintaining blood pressure (BP) levels to below 130/80 mmHg in patients with type 2 diabetes which was more aggressive than in the general population (BP<140/90 mmHg) [4]. This lower treatment target in diabetic patients was mainly based on the results of early randomized clinical trials (RCTs) such as the United Kingdom Prospective Diabetes Study (UKPDS) [5] and Hypertension Optimal Treatment (HOT) trial [6]. These RCTs showed clear benefit with regard to reductions in cardiovascular outcomes in patients with diabetes receiving tight BP control. However, aggressive targets for BP treatment in diabetes guidelines have been questioned recently. The Action to Control Cardiovascular Risk in Diabetes (ACCORD) study did not show further cardiovascular benefits when intensive systolic BP treatment was achieved (Systolic blood pressure [SBP]<120 mmHg) compared with standard therapy (SBP <140 mmHg) [7]. Based on current evidence, targets for BP control for patients with type 2 diabetes have been adjusted to <140/90 mmHg [8, 9] or 140/85 mmHg [10]. Until now, there is still uncertainty about the optimal BP target in people with diabetes. The aim of the present study is to examine the association between different levels of BP and the risk of all-cause mortality among patients with type 2 diabetes in the Louisiana State University Hospital-Based Longitudinal Study (LSUHLS).

2. Materials and Methods

2.1 Study Population

Between 1997 and 2012, LSU Health Care Services Division (LSUHCSD) operated seven public hospitals and affiliated clinics in Louisiana, which provided quality medical care to the residents of Louisiana regardless of their income or insurance coverage [1114]. Overall, LSUHCSD facilities have served about 1.6 million patients (35% of the Louisiana population) since 1997. Administrative, anthropometric, laboratory, clinical diagnosis, and medication data collected at these facilities are available in electronic form for both inpatients and outpatients from 1997. Using these data, we have established the LSUHLS [11]. A cohort of diabetic patients was established by using the ICD-9 (code 250) between January 1, 1999, and December 31, 2009. Confirmation of diabetes diagnoses was made by applying the American Diabetes Association criteria: a fasting plasma glucose level ≥126 mg/dl (in the absence of unequivocal hyperglycemia, the result should be confirmed by repeating testing); 2-hour glucose level ≥200 mg/dl after a 75-g 2-hour oral glucose tolerance test; one or more classic symptoms plus a random plasma glucose level ≥200 mg/dl [15]. The first record of diabetes diagnosis was used to establish the baseline for each patient in the present analyses due to the design of the cohort study. Before diagnosis with diabetes, these patients have used our system for an average of 5.0 years. We have validated the diabetes diagnosis in LSUHCSD hospitals. The agreement of diabetes diagnosis was 97%: 20,919 of a sample of 21,566 hospital discharge diagnoses based on ICD codes also had physician-confirmed diabetes by using the ADA diabetes diagnosis criteria [15].

After excluding patients with incomplete data or without at least 2 measurements of any of the required variables for analysis (all variables listed in Table 1), the present study included 35,261 newly diagnosed patients with type 2 diabetes (15,504 white and 19,757 African American) who were 30 to 94 years of age with complete repeated data on all risk factor variables. The study and analysis plan including the procedure of data coding were approved by both the Pennington Biomedical Research Center and LSU Health Sciences Center Institutional Review Boards (IRBs), LSU System. IRBs granted a waiver of informed consent for this perspective study because we used anonymized data compiled from electronic medical records.

Table 1.

Baseline characteristics of African American and white patients with diabetes

African American White P value
No. of participants 19757 15504
Male, % 35.5 40.8 <0.001
Age, mean (SD), yr 51.1 (0.1) 53.7 (0.1) <0.001
Income, mean (SD), $/family 18963 (192) 19741 (218) 0.008
Body mass index, mean (SD) 33.6 (0.1) 35.0 (0.1) <0.001
Baseline Blood pressure, mean (SD), mm Hg
 Systolic 146 (0.2) 141 (0.2) <0.001
 Diastolic 82 (0.1) 78 (0.1) <0.001
HbA1c, mean (SD), % 7.94 (0.02) 7.35 (0.02) <0.001
LDL cholesterol, mean (SD), mg/dL 113 (0.3) 110 (0.3) <0.001
Glomerular filtration rate (mL/min/1.73 m2), % <0.001
 ≥90 53.8 35.9
 60–89 35.2 47.0
 30–59 9.3 15.6
 15–29 1.1 1.1
 <15 0.6 0.4
Smoking status, % <0.001
 Never smoking 67.8 63.3
 Past smoking 7.0 7.6
 Current smoking 25.3 29.1
Type of insurance, % <0.001
 Free 78.3 76.1
 Self-pay 5.8 3.8
 Medicaid 6.1 4.0
 Medicare 8.2 13.2
 Commercial 1.7 2.9
Uses of medications, %
 Glucose-lowering medication <0.001
  Oral hypoglycemic agents 33.4 34.5
  Insulin 32.8 26.6
 Lipid-lowering medication 55.1 58.2 <0.001
 Antihypertensive medication 75.4 69.6
*

Values represent mean or percentage. Body mass index was calculated as the weight in kilograms divided by the square of the height in meters.

2.2 Baseline and follow-up measurements

The patient’s characteristics, including age of diabetes diagnosis, sex, race/ethnicity, family income, smoking status, types of health insurance, body mass index (BMI), BP, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, glycosylated hemoglobin (HbA1c), estimated glomerular filtration rate (eGFR), and medication (antihypertensive drug, cholesterol lowing drug and antidiabetic drug) within a half year after the diabetes diagnosis (baseline) and during follow-up after the diabetes diagnosis (follow-up) were extracted from the computerized hospitalization records. In Louisiana State University Health Care Services Division hospitals, eGFR is estimated using Modification of Diet in Renal Disease equation: eGFR= (in ml/mom/1.73 m2) = 186 × [serum creatinine (in mg/dl) −1.154 × Age −0.203 × 0.742 (if female) × 1.210 (if black)] [16, 17]. BP was measured from the right arm of the participant after 5 min of sitting using a mercury sphygmomanometer or electronic BP meter in each visit. BP was measured first at baseline and second as an updated mean of annual measurement of systolic BP, calculated for each participant from baseline to each year of follow-up. For example, at 1 year, the updated mean is the average of the baseline and 1-year values, and at 3 years, it is the average of baseline, 1-year, 2-year, and 3-year values. In case of an event during follow-up, the period for estimating updated mean value was from baseline to the year before this event occurred. BP measurements during the follow-up period averaged 14.6 assessments for each patient.

2.3 Prospective follow-up

Follow-up information was obtained from the LSUHLS inpatient and outpatient database by using the unique number assigned to every patient who visits the LSUHCSD hospitals. The diagnosis of all-cause death was the primary endpoint of interest of the study. Mortality outcomes were assessed by linkage with the State Center for Health Statistics at Louisiana’s Office of Public Health (the Louisiana Office of Public Health Vital Records Registry). Follow-up of each cohort member continued until the date of the death, or June 30, 2013.

2.4 Statistical analyses

Cox proportional hazards models were used to assess the association of BP with the risk of all-cause mortality. We categorized BP groups according to guidelines [1820] and the target of randomized controlled trials (RCTs) [7]. SBP and diastolic blood pressure (DBP) were evaluated as categories (SBP <110, 110–119, 120–129, 130–139 [reference group], 140–159, and ≥160 mmHg; DBP <65, 65–69, 70–79, 80–89 [reference group], 90–100, and ≥100 mmHg; SBP/DBP <110/65, 110–119/65–69, 120–129/70–79, 130–139/80–89 [reference group], 140–159/90–99, and ≥160/100 mmHg). We fitted incremental models, and all analyses were adjusted for age, sex and race; then for smoking, income, type of insurance (multivariable-adjusted model a); and further for BMI, LDL cholesterol, HbA1c, eGFR, use of antihypertensive drugs, glucose-lowering agents, and cholesterol-lowering agents (multivariable-adjusted model b). The proportional hazards assumption in the Cox model was assessed with graphical methods and models including time-by-covariate interactions [21]. In general, all proportionality assumptions were appropriate. To avoid the potential bias due to severe diseases at baseline, additional analyses were carried out excluding the subjects who died during the first two years of follow-up.

To test whether there is a dose-response or non-linear association of BP as a continuous variable with the risk of all-cause mortality, we used restricted cubic splines to develop a hazard ratio (HR) curve to examine full-range association of SBP and DBP with the risk of all-cause mortality. We chose five knots at quintiles 5th, 27.5th, 50th, 75th and 95th. HR between two points of a continuous variable can be estimated by EXP (Y2-Y1), where Y1 and Y2 are the corresponding spline function values of the two points. If we select a proper point Y1 as the referent, EXP (Y2-Y1) stands for the HR of point 2 versus point 1. Thus, we obtained the HR curves by plotting the HRs of all other points versus the referent point [22]. According to the nadir of the curve, we chose the reference group of categories of BP. Both baseline BP levels and updated mean values of BP during follow-up were used in the analyses. Statistical significance was considered to be P<0.05. All statistical analyses were performed with SAS for Windows, version 9.3 (SAS Institute, Cary, NC).

3. Results

General characteristics of the study population are presented in Table 1. During a mean follow-up period of 8.7 years, 4,199 (2,146 white and 2,053 African American) deaths were identified. After adjustment for all confounding factors, a significantly increased risk of all-cause mortality was observed among diabetic patients with SBP <120 mmHg and ≥160 mmHg and DBP <65 mmHg and ≥100 mmHg at baseline (multivariable-adjusted model b, Table 2). When SBP and DBP were considered as continuous variables by using restricted cubic splines, a nadir of the U-shaped association of BP with all-cause mortality risk was observed at 130–150 mmHg for SBP and 80–90 mmHg for DBP (Figure 1).

Table 2.

Hazard ratio of all-cause mortality according to different levels of systolic blood pressure and diastolic blood pressure at baseline and during follow-up among patients with type 2 diabetes

Systolic blood pressure (mmHg)

<110 110–119 120–129 130–139 140–159 ≥160
Baseline
No. of Patients 1,840 3,035 4,908 6,235 11,132 8,111
No. of deaths 355 424 520 638 1,189 1,073
Person-years 14,727 25,158 41,652 53,765 97,681 72,899
Age, gender and race adjustment HR (95% CI) 2.03 (1.78–2.31) 1.48 (1.31–1.67) 1.08 (0.96–1.21) 1.00 1.01 (0.91–1.11) 1.23 (1.11–1.36)
Multivariable adjustment HR (95% CI)a 1.89 (1.60–2.22) 1.43 (1.23–1.67) 1.10 (0.95–1.26) 1.00 1.02 (0.90–1.14) 1.24 (1.10–1.40)
Multivariable adjustment HR (95% CI)b 1.70 (1.45–2.01) 1.39 (1.20–1.62) 1.04 (0.91–1.20) 1.00 1.01 (0.89–1.13) 1.20 (1.06–1.35)
Follow-up
No. of Patients 574 2,144 6,073 9,354 12,860 4,256
No. of deaths 186 410 722 904 1,336 641
Person-years 4,226 16,687 49,937 80,039 116,067 38,926
Age, gender and race adjustment HR (95% CI) 3.46 (2.95–4.05) 2.30 (2.04–2.58) 1.28 (1.16–1.41) 1.00 0.96 (0.88–1.05) 1.43 (1.29–1.58)
Multivariable adjustment HR (95% CI)a 3.12 (2.50–3.90) 2.05 (1.77–2.37) 1.27 (1.13–1.43) 1.00 0.97 (0.88–1.07) 1.25 (1.10–1.42)
Multivariable adjustment HR (95% CI)b 2.47 (1.97–3.09) 1.82 (1.58–2.11) 1.24 (1.11–1.40) 1.00 0.94 (0.85–1.04) 1.03 (0.91–1.18)

Diastolic blood pressure (mmHg)

<65 65–69 70–79 80–89 90–99 ≥100

Baseline
No. of Patients 4,114 3,287 9,933 10,005 5,308 2,614
No. of deaths 808 482 1,078 994 527 310
Person-years 36,363 28,848 87,546 85,865 45,468 21,791
Age, gender and race adjustment HR (95% CI) 1.41 (1.28–1.55) 1.17 (1.05–1.31) 0.95 (0.87–1.03) 1.00 1.09 (0.99–1.22) 1.44 (1.26–1.63)
Multivariable adjustment HR (95% CI)a 1.26 (1.12–1.41) 1.13 (0.99–1.29) 0.91 (0.82–1.01) 1.00 1.04 (0.92–1.19) 1.34 (1.14–1.56)
Multivariable adjustment HR (95% CI)b 1.18 (1.05–1.32) 1.12 (0.98–1.28) 0.91 (0.82–1.01) 1.00 1.03 (0.91–1.17) 1.28 (1.09–1.49)
Follow-up
No. of Patients 2,579 4,329 15,005 9,970 2,682 696
No. of deaths 699 658 1,554 869 309 110
Person-years 23,149 39,548 131,187 84,140 22,110 5,748
Age, gender and race adjustment HR (95% CI) 1.64 (1.47–1.82) 1.06 (0.96–1.18) 0.94 (0.86–1.02) 1.00 1.49 (1.31–1.70) 2.10 (1.72–2.56)
Multivariable adjustment HR (95% CI)a 1.50 (1.32–1.72) 0.94 (0.82–1.06) 0.92 (0.83–1.01) 1.00 1.35 (1.15–1.60) 1.65 (1.23–2.21)
Multivariable adjustment HR (95% CI)b 1.37 (1.20–1.57) 0.95 (0.83–1.08) 0.95 (0.85–1.05) 1.00 1.25 (1.06–1.47) 1.30 (0.97–1.75)

Abbreviations: HR, hazard ratio; CI, confidence interval.

a

Adjusted for age, gender, race, type of insurance, income, and smoking.

b

Adjusted for age, gender, race, type of insurance, income, smoking, body mass index, low-density lipoprotein cholesterol, HbA1c, glomerular filtration rate, use of antihypertensive drugs, glucose-lowering agents, and cholesterol-lowering agents.

Figure 1.

Figure 1

Hazard ratios for all-cause mortality by systolic blood pressure and diastolic blood pressure at baseline and during follow-up. Adjusted for age, sex and race, smoking, income, type of insurance, BMI, LDL cholesterol, HbA1c, eGFR, use of antihypertensive drugs, glucose-lowering agents, and cholesterol-lowering agents.

The multivariable-adjusted HRs of all-cause mortality associated with different levels of joint SBP/DBP at baseline (<110/65, 110–119/65–69, 120–129/70–80, 130–139/80–90 [reference group], 140–159/90–100, and ≥160/100 mmHg) were 1.70 (95% confidence intervals [CIs]1.42–2.04), 1.26 (1.07–1.50), 0.99 (0.86–1.12), 1.00, 0.92 (0.82–1.03), and 1.10 (0.98–1.23), respectively (Table 3).

Table 3.

Hazard ratio of all-cause mortality according to different levels of systolic/diastolic blood pressure at baseline and during follow-up among patients with type 2 diabetes

Systolic blood pressure/diastolic blood pressure (mmHg)

<110/65 110–119/65–69 120–129/70–79 130–139/80–89 140–159/90–99 ≥160/100
Baseline
No. of Patients 1,022 1,790 5,116 7,228 11,478 8,627
No. of deaths 234 302 576 747 1,216 1,124
Person-years 8,333 14,960 43,438 61,739 100,480 76,933
Age, gender and race adjustment HR (95% CI) 2.03 (1.75–2.35) 1.50 (1.32–1.72) 1.09 (0.98–1.22) 1.00 0.96 (0.88–1.05) 1.18 (1.08–1.30)
Multivariable adjustment HR (95% CI)a 1.88 (1.57–2.26) 1.29 (1.09–1.52) 1.05 (0.92–1.20) 1.00 0.93 (0.84–1.04) 1.14 (1.02–1.27)
Multivariable adjustment HR (95% CI)b 1.70 (1.42–2.04) 1.26 (1.07–1.50) 0.99 (0.86–1.12) 1.00 0.92 (0.82–1.03) 1.10 (0.98–1.23)
Follow-up
No. of Patients 113 316 783 986 1,347 654
No. of deaths 185 996 5,455 9,076 11,634 3,716
Person-years 849 2,477 6,464 8,340 12,130 5,965
Age, gender and race adjustment HR (95% CI) 3.20 (2.63–3.89) 2.34 (2.06–2.65) 1.29 (1.18–1.42) 1.00 0.92 (0.85–1.00) 1.37 (1.24–1.51)
Multivariable adjustment HR (95% CI)a 3.35 (2.56–4.39) 1.97 (1.67–2.31) 1.26 (1.12–1.41) 1.00 0.93 (0.85–1.03) 1.18 (1.04–1.35)
Multivariable adjustment HR (95% CI)b 2.62 (2.00–3.44) 1.77 (1.51–2.09) 1.22 (1.09–1.36) 1.00 0.90 (0.82–1.00) 0.98 (0.86–1.12)

Abbreviations: HR, hazard ratio; CI, confidence interval.

a

Adjusted for age, gender, race, type of insurance, income, and smoking.

b

Adjusted for age, gender, race, type of insurance, income, smoking, body mass index, low-density lipoprotein cholesterol, HbA1c, glomerular filtration rate, use of antihypertensive drugs, glucose-lowering agents, and cholesterol-lowering agents.

When we carried out additional analyses by using an updated mean BP during follow-up, we also found a U-shaped association between levels of BP and the risk of all-cause mortality. Lower levels of BP (SBP <130 mmHg or DBP <65 mmHg) were associated with an increased risk of all-cause mortality (Tables 2 and 3).

When stratified by race, sex, and use of antihypertensive drugs, the U-shaped associations of BP with the risk of all-cause mortality were confirmed in both African American and white patients, in both men and women, and also in those who were or were not talking antihypertensive drugs (Table 4 and Online table 1). When stratified by age, the U-shaped association of BP with all-cause mortality risk was more significant in diabetic patients aged 30–49 years and 50–59 years, but weakened and changed to an inverse association in diabetic patients aged ≥60 years (Table 4 and Online table 1). After excluding subjects who died during the first two years of follow-up (n=435), the multivariable-adjusted U-shaped association of BP with the risk of all-cause mortality did not change (Online table 2). After excluding subjects who had coronary heart disease, heart failure, stroke, end stage renal disease, or left ventricular hypertrophy at baseline (n=7,366), the multivariable-adjusted U-shaped association of BP with the risk of all-cause mortality did not change (Online table 3).

Table 4.

Hazard ratio (95% confidence interval) of all-cause mortality according to different levels of blood pressure at baseline among patients with type 2 diabetes of various subpopulations

Systolic blood pressure (mmHg)

<110 110–119 120–129 130–139 140–159 ≥160
Race
 African American 1.89 (1.48–2.41) 1.35 (1.07–1.70) 0.98 (0.79–1.22) 1.00 1.02 (0.86–1.21) 1.20 (1.01–1.42)
 White 1.57 (1.26–1.96) 1.43 (1.17–1.75) 1.09 (0.91–1.32) 1.00 1.00 (0.85–1.17) 1.20 (1.01–1.42)
Age group, years
 <50 1.90 (1.41–2.55) 1.18 (0.88–1.57) 0.96 (0.73–1.26) 1.00 1.02 (0.81–1.28) 1.42 (1.12–1.79)
 50–59 1.85 (1.40–2.45) 1.46 (1.12–1.91) 1.08 (0.84–1.38) 1.00 1.02 (0.83–1.25) 1.30 (1.06–1.60)
 60–94 1.34 (1.01–1.77) 1.47 (1.16–1.86) 1.04 (0.83–1.31) 1.00 1.02 (0.84–1.22) 1.05 (0.86–1.27)
Sex
 Men 1.80 (1.44–2.25) 1.49 (1.21–1.83) 1.22 (1.01–1.47) 1.00 1.06 (0.89–1.25) 1.16 (0.98–1.39)
 Women 1.56 (1.23–2.00) 1.28 (1.03–1.60) 0.85 (0.69–1.06) 1.00 0.95 (0.80–1.12) 1.19 (1.01–1.41)
Using antihypertensive drugs
 No 2.09 (1.60–2.74) 1.39 (1.06–1.82) 1.03 (0.80–1.33) 1.00 1.08 (0.87–1.34) 1.24 (1.00–1.56)
 Yes 1.49 (1.20–1.84) 1.40 (1.16–1.67) 1.05 (0.89–1.25) 1.00 0.98 (0.85–1.12) 1.17 (1.01–1.34)

Diastolic blood pressure (mmHg)

<65 65–69 70–79 80–89 90–99 ≥100

Race
 African American 1.15 (0.96–1.39) 1.28 (1.06–1.56) 0.94 (0.81–1.09) 1.00 1.11 (0.94–1.32) 1.31 (1.07–1.59)
 White 1.15 (0.99–1.34) 0.99 (0.82–1.19) 0.88 (0.76–1.01) 1.00 0.93 (0.77–1.14) 1.22 (0.93–1.60)
Age group, years
 <50 1.53 (1.19–1.97) 1.08 (0.81–1.45) 0.95 (0.78–1.15) 1.00 0.96 (0.77–1.20) 1.39 (1.08–1.78)
 50–59 1.06 (0.86–1.32) 1.15 (0.92–1.44) 0.90 (0.76–1.07) 1.00 1.11 (0.90–1.37) 1.24 (0.95–1.61)
 60–94 1.18 (0.99–1.41) 1.17 (0.95–1.43) 0.90 (0.76–1.07) 1.00 0.98 (0.77–1.25) 1.05 (0.75–1.46)
Sex
 Men 1.19 (1.00–1.40) 1.06 (0.88–1.28) 0.93 (0.81–1.07) 1.00 0.88 (0.73–1.05) 1.07 (0.86–1.34)
 Women 1.19 (1.01–1.40) 1.20 (1.00–1.45) 0.90 (0.77–1.05) 1.00 1.24 (1.03–1.48) 1.56 (1.24–1.95)
Using antihypertensive drugs
 No 1.19 (0.97–1.45) 1.02 (0.80–1.29) 0.88 (0.73–1.06) 1.00 0.96 (0.75–1.22) 1.12 (0.82–1.54)
 Yes 1.17 (1.01–1.35) 1.17 (1.00–1.37) 0.92 (0.81–1.04) 1.00 1.07 (0.92–1.25) 1.33 (1.11–1.60)

Systolic blood pressure/Diastolic blood pressure (mmHg)

<110/65 110–119/65–69 120–129/70–79 130–139/80–89 140–159/90–99 ≥160/100

Race
 African American 1.99 (1.51–2.63) 1.24 (0.95–1.62) 0.91 (0.74–1.12) 1.00 0.95 (0.81–1.11) 1.10 (0.94–1.29)
 White 1.52 (1.19–1.94) 1.28 (1.02–1.59) 1.05 (0.88–1.24) 1.00 0.90 (0.78–1.05) 1.10 (0.93–1.29)
Age group, years
 <50 2.39 (1.73–3.31) 1.06 (0.75–1.52) 0.93 (0.72–1.19) 1.00 0.92 (0.74–1.13) 1.27 (1.02–1.57)
 50–59 1.87 (1.36–2.58) 1.35 (0.99–1.82) 1.07 (0.85–1.34) 1.00 0.96 (0.79–1.16) 1.23 (1.02–1.49)
 60–94 1.23 (0.90–1.67) 1.33 (1.03–1.71) 0.95 (0.77–1.18) 1.00 0.94 (0.79–1.12) 0.96 (0.79–1.15)
Sex
 Men 1.79 (1.40–2.28) 1.17 (0.93–1.49) 1.10 (0.92–1.31) 1.00 0.91 (0.78–1.06) 1.02 (0.87–1.20)
 Women 1.57 (1.19–2.07) 1.34 (1.05–1.71) 0.85 (0.70–1.05) 1.00 0.93 (0.79–1.09) 1.15 (0.98–1.35)
Using antihypertensive drugs
 No 2.22 (1.66–2.96) 1.22 (0.91–1.64) 0.93 (0.74–1.17) 1.00 0.93 (0.76–1.13) 1.08 (0.87–1.33)
 Yes 1.43 (1.12–1.82) 1.28 (1.04–1.57) 1.02 (0.87–1.20) 1.00 0.92 (0.81–1.05) 1.10 (0.96–1.25)

Adjusted for age, gender, race, type of insurance, income, smoking, body mass index, low-density lipoprotein cholesterol, HbA1c, glomerular filtration rate, use of antihypertensive drugs, glucose-lowering agents, and cholesterol-lowering agents other than the variable for stratification.

4. Discussion

The present study found a U-shaped association between observed BP at baseline and during follow-up and the risk of all-cause mortality among patients with type 2 diabetes. The lowest all-cause mortality risk was observed at 130–150 mmHg for SBP and 80–90 mmHg for DBP. Both lower BP (SBP <120 mmHg or DBP <65 mmHg) and higher BP (SBP ≥160 mmHg or DBP ≥100 mmHg) were associated with an increased risk of all-cause mortality among both African American and white, as well as men and women with type 2 diabetes.

In the past 2 decades, clinical guidelines recommended maintaining BP levels to below 130/80 mmHg [4], which is mainly based on the landmark RCTs like the UKPDS [5] and HOT trial [6]. However, patients assigned to the tight BP group (<150/85 mm Hg) actually achieved a mean BP of 144/82 mmHg in the UKPDS trial [5], and patients assigned to the ≤80 mmHg of DBP actually achieved a mean BP of 140/81 mmHg in the HOT trial [6]. Furthermore, results from several other RCTs continued to question the aggressive targets for BP treatment in diabetes care guidelines, such as the ACCORD RCT [7], the Appropriate Blood Pressure Control in Diabetes (ABCD) trial [23], the Irbesartan Diabetic Nephropathy Trial (IDNT) [24], and the International Verapamil SR-Trandolapril Study (INVEST) [25]. A systematic review pooling 31 RCTs suggested that the risk of stroke decreased progressively with BP reduction, but this association was not significant for myocardial infarction in people with diabetes [26]. Another systematic review of 13 RCTs enrolling 37 736 participants with diabetes or impaired fasting glucose suggested that treatment goal of SBP 130–135 mm Hg is acceptable and more aggressive goals (<130 mmHg) was not associated with the benefit regarding the risk of macrovascular or microvascular events except stroke [27]. Based on evidence from the above trials, in 2013, targets for BP control for patients with diabetes have been adjusted to <140/80 mmHg [28] or 140/85 mmHg [10]. In 2014 and 2015, the BP guideline of the Eighth Joint National Committee (JNC 8) and American Diabetes Association recommends the goal to be less than 140/90 mmHg among patients with diabetes [8, 9].

Thus there is still uncertainty about the optimal BP target in population with type 2 diabetes. In order to design effective interventions that would prevent or delay the onset of CVDs, the validity of BP treatment goals for CVD risk among patients with type 2 diabetes have to be better delineated. However, RCTs may suffer from lower incident events of diabetic complications, short follow-up time, high loss-to-follow-up rates, and strict inclusion and exclusion criteria which limit their applicability to the common diabetic patients in clinical practice. Observational studies, especially from hospital-based cohorts, are needed and important because they may better reflect everyday clinical practice. A retrospective UK cohort study has indicated a U-shaped association of SBP and DBP with the risk of all-cause mortality among patients with type 2 diabetes [29]. Similarly, our study also found a U-shaped association between observed BP and the risk of all-cause mortality among patients with type 2 diabetes. Both lower BP (SBP <120 mmHg or DBP <65 mmHg) and higher BP (SBP ≥160 mmHg or DBP ≥100 mmHg) were associated with an increased risk of all-cause mortality. When we carried out additional analyses by using an updated mean BP during follow-up, we also found a U-shaped association between updated mean levels of BP and the risk of all-cause mortality among patients with type 2 diabetes.

One recent prospective study has found an inverse association between BP and the risk of all-cause mortality in elderly diabetic patients aged >75 years [30]. In the present study, the U-shaped association of BP with all-cause mortality risk was more significant in middle-aged diabetic patients (age 30–49 years and 50–59 years), but in the older group (age ≥60 years) the U-shaped weakened and changed to an inverse association. Some researchers have suggested that lower BP is more common with co-morbidities at older ages and reflects the general frailty of elderly patients [31]. Elderly patients with type 2 diabetes represent a population who are highly enriched with underlying CVD and may be more prone than others to display the inverse association. This observation suggests that lower BP is more harmful than uncontrolled BP for elderly patients.

Because of the observational nature of cohort study, our findings of an increased risk of all-cause mortality associated with low BP did not imply causality. Some studies have suggested tight control of BP might increase cardiovascular risk by the under-perfusion of vital organs [32]. An impaired coronary circulation may be particularly sensitive to decreases in diastolic BP as under-perfusion may push latent or subclinical diastolic dysfunction to clinical all-cause mortality [33]. Some other studies suggested that an increased risk of all-cause mortality associated with lower DBP might be associated with some deterioration of general health, because this relation was also evident in patients treated with placebo [34]. Future studies are needed to clarify the mechanism of association between BP and all-cause mortality among older patients with diabetes.

There are several strengths of our study, including the large sample size, long follow-up time, and the use of administrative databases to avoid differential recall bias. We have used both baseline BP levels and updated mean values of BP during follow-up in the analyses, which can avoid potential bias from a single baseline measurement. In addition, participants in the present study used the same public health care system that minimizes the influence of accessibility to health care. The present study also has limitations. First, more than 45,000 patients with diabetes were excluded in the present study due to missing data on one or more of the required variables, and these patients were younger, and the percentage of African Americans males was smaller compared with those included in the present study. Excluding these patients might have a possible selection bias. Second, we did not have information on cause-specific deaths and could not assess cardiovascular mortality as a separate end-point. Third, even though our analyses adjusted for an extensive set of confounding factors, residual confounding due to the measurement error in the assessment of confounding factors, unmeasured factors such as physical activity, education, and dietary factors, cannot be excluded.

Our study found a U-shaped association between observed BP and the risk of all-cause mortality among patients with type 2 diabetes. We suggested that blood pressure target in diabetic patients might be 130–150 mmHg for SBP and 80–90 mmHg for DBP.

Supplementary Material

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Novelty and Significance.

Based on current evidence, targets for BP control for patients with type 2 diabetes have been adjusted to <140/90 mmHg or 140/85 mmHg, but the optimal BP control range for the diabetic population is still uncertain. Our study, based on a hospitalized cohort study of 35,261 patients with type 2 diabetes, suggested a U-shaped association between observed BP and the risk of all-cause mortality among patients with type 2 diabetes. We suggested that the lowest risk of all-cause mortality was observed at 130–150 mmHg for SBP and 80–90 mmHg for DBP.

Acknowledgments

Funding Source

This work was supported by Louisiana State University’s Improving Clinical Outcomes Network (LSU ICON), the Louisiana Clinical Data Research Network (LACDRN), and 1 U54 GM104940 from the National Institute of General Medical Sciences of the National Institutes of Health which funds the Louisiana Clinical and Translational Science (LA CaTS) Center.

Footnotes

The authors have reported they have no relationships to disclose.

Contributions

W.L. wrote the manuscript and researched data. P.T.K. reviewed and edited the manuscript. R.H. and Y.W. researched data. J.J. reviewed and edited the manuscript. G.H. reviewed, and edited the manuscript and researched data. G.H. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Disclosures

The authors have reported they have no relationships to disclose.

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