A difference in systolic blood pressure between arms is a novel predictor of the development and progression of diabetic nephropathy in patients with type 2 diabetes

Simultaneously measured inter-arm blood pressure difference is not associated with pulse wave velocity in a clinical dataset of at-risk hypertensive patients

Recent analysis of systolic inter-arm differences in blood pressure from the INTERPRESS-IPD Collaboration suggest an association with increased all-cause mortality, cardiovascular mortality and cardiovascular events. Previous studies have demonstrated associations with other risk parameters. We aimed to reproduce these associations in a cohort of 199 treated, at-risk hypertensive patients with pulse wave velocity (PWV) as a surrogate marker of cardiovascular (CV) damage. Simultaneously measured inter-arm blood pressure (BP) differences, 24 hour ambulatory BP and PWV were measured in 199 treated patients from a tertiary hospital hypertension outpatient clinic. Associations between systolic inter-arm BP difference and PWV were analyzed with uni- and multi-variate regression models. Out of 199 participants, 90 showed an inter-arm BP difference of more than 5 mmHg. The inter-arm difference was not associated with PWV. Furthermore, neither observed single BP measurements nor 24 hour ambulatory BP was associated with inter-arm BP differences. In our clinical patient cohort we failed to observe an association between inter-arm BP differences and PWV. Mode of assessment, study design and the sample characteristics of this treated, hypertensive cohort may have contributed to the negative findings. The limited sample size of the study poses a challenge to the detection of smaller effects in our study.

Prevalence and associated factors of inter-arm blood pressure difference in Chinese community hypertensive population

OBJECTIVES

This study aimed to investigate the prevalence and associated factors of inter-arm blood pressure difference (IAD) in Chinese community hypertensive population.

METHODS

The cross-sectional study included 7788 hypertensive patients (3673 male and 4115 female, aged 62.3 ± 13.6 years) in Guangdong, China. IAD was defined as the absolute value of blood pressure (BP) difference between left and right arms. Bilateral BP was measured simultaneously by automated devices.

RESULTS

The mean IAD was 4.04 ± 4.33 mm Hg in systolic and 3.19 ± 3.43 mm Hg in diastolic. The prevalence rates of systolic IAD (sIAD)≥5 mm Hg and ≥10 mmHg were 28.9% (n = 2247) and 12.8% (n = 996), respectively. By univariate linear regression, higher sIAD correlated with aging, higher SBP, higher DBP, lower baseline estimated glomerular filtration rate (eGFR), and anti-hypertensive medication (p < 0.05). In multivariate linear regression analysis, higher sIAD was significantly associated with systolic BP (SBP, β = 0.033; 95%CI, 0.025-0.041; p < 0.001), triacylglycerol (β = 0.093; 95%CI, 0.017-0.169; p = 0.016), total cholesterol (β = -0.202; 95%CI, -0.396to -0.009; p = 0.04), and low-density lipoprotein cholesterol (LDL-C; β = 0.304; 95%CI, 0.027-0.582; p = 0.032).

CONCLUSION

The elevated prevalence of large IAD was shown in hypertensive population. Meanwhile, higher levels of SBP, triacylglycerol, total cholesterol, LDL-C, and lower eGFR were associated with higher sIAD.

Establishment and Validation of a Risk Prediction Model for Early Diabetic Kidney Disease Based on a Systematic Review and Meta-Analysis of 20 Cohorts

BACKGROUND

Identifying patients at high risk of diabetic kidney disease (DKD) helps improve clinical outcome.

PURPOSE

To establish a model for predicting DKD.

DATA SOURCES

The derivation cohort was from a meta-analysis. The validation cohort was from a Chinese cohort.

STUDY SELECTION

Cohort studies that reported risk factors of DKD with their corresponding risk ratios (RRs) in patients with type 2 diabetes were selected. All patients had estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m² and urinary albumin-to-creatinine ratio (UACR) <30 mg/g at baseline.

DATA EXTRACTION

Risk factors and their corresponding RRs were extracted. Only risk factors with statistical significance were included in our DKD risk prediction model.

DATA SYNTHESIS

Twenty cohorts including 41,271 patients with type 2 diabetes were included in our meta-analysis. Age, BMI, smoking, diabetic retinopathy, hemoglobin A_1c, systolic blood pressure, HDL cholesterol, triglycerides, UACR, and eGFR were statistically significant. All these risk factors were included in the model except eGFR because of the significant heterogeneity among studies. All risk factors were scored according to their weightings, and the highest score was 37.0. The model was validated in an external cohort with a median follow-up of 2.9 years. A cutoff value of 16 was selected with a sensitivity of 0.847 and a specificity of 0.677.

LIMITATIONS

There was huge heterogeneity among studies involving eGFR. More evidence is needed to power it as a risk factor of DKD.

CONCLUSIONS

The DKD risk prediction model consisting of nine risk factors established in this study is a simple tool for detecting patients at high risk of DKD.

The ankle brachial index exhibits better association with cardiovascular outcomes than interarm systolic blood pressure difference in patients with type 2 diabetes

Increased interarm systolic blood pressure difference (IASBPD) is associated with cardiovascular prognosis in the general population. This study aimed to evaluate whether IASBPD or ankle brachial index (ABI) is strongly associated with cardiovascular outcomes in patients with type 2 diabetes.Total 446 type 2 diabetes followed up for a mean 5.8 years divided by ABI (<0.9 vs ≥0.9) or IASBPD (<10 vs ≥10 mm Hg). The primary outcome was a composite of all-cause mortality, hospitalization for coronary artery disease, nonfatal stroke, carotid, or peripheral revascularization, amputations, and diabetic foot syndrome. The secondary endpoint was all-cause mortality.Sixty-four composite events and 17 deaths were identified. The primary and secondary outcomes were higher than those in the group with ABI < 0.9 vs ABI ≥ 0.9 (32.8% vs 11.6%, P < .005 for primary outcome; 14.0% vs 2.3%, P < .005 for all-cause mortality) but IASBPD cannot exhibit a prognostic value. ABI < 0.9 was also the dominant risk factor of both endpoints demonstrated by multivariate Cox proportional analysis (composite events: adjusted hazard ratio [HR], 2.39; 95% confidence interval [CI], 1.26-4.53; P = .007; all-cause mortality: adjusted HR, 3.27: 95% CI, 1.91-5.60; P < .001).The ABI was more associated with cardiovascular outcomes in patients with diabetes than IASBPD.

Difference in SBP between arms is a predictor of chronic kidney disease development in the general Korean population

OBJECTIVE

An increased inter-arm SBP difference (IASBPD) is associated with mortality and cardiovascular events, as well as peripheral vascular disease, which is attributed to subclavian stenosis. The aim of the present study was to investigate the association between the IASBPD and incident chronic kidney disease (CKD) in the Korean population.

METHODS

A retrospective cohort study was performed on 8780 Korean adults without baseline CKD. The bilateral blood pressure was measured sequentially and repeatedly at the first visit. IASBPD was defined as a BP at least 15 mmHg according to the National Institutes for Health and Clinical Excellence guidelines, and CKD was defined as an estimated glomerular filtration rate less than 60 ml/min per 1.73 m. We assessed the value of IASBPD to predict the incidence of CKD and investigated cardiovascular disease, including coronary heart disease and stroke.

RESULTS

Over a mean follow-up period of 8.5 years, 96 of 581 (16.5%) patients in the IASBPD group and 1037 of 8199 (12.6%) patients in the non-IASBPD group developed incident CKD. Compared with the non-IASBPD, an IASBPD was associated with incident CKD [hazard ratio (HR): 1.336, 95% confidence interval (CI): 1.08-1.65, P = 0.007]. After adjusting for potential confounders, including age, sex, hypertension, diabetes, and obesity, we found that the hazard ratio was also robust (hazard ratio 1.275, 95% CI 1.03-1.58, P = 0.024).

CONCLUSION

Increased IASBPD is an independent predictor of incident CKD in the general population.

Interarm systolic blood pressure as a predictor of cardiovascular events in patients with chronic kidney disease

BACKGROUND

Increased interarm systolic blood pressure difference (IASBPD) is associated with mortality and cardiovascular (CV) events both in the general population and in patients at high CV risk. The aim of the present study was to assess the value of IASBPD ≥ 10 mmHg for predicting CV events in patients with chronic kidney disease (CKD).

METHODS

The study sample comprised 652 patients with CKD (age 67 ± 15 years, 58.1% men). Follow-up was 19 ± 5 months. We recorded increased IASBPD and related factors and assessed the predictive value of this variable for CV events.

RESULTS

We recorded diabetes mellitus in 136 patients (20.8%), history of CV disease in 213 (32.6%) and dyslipidaemia in 327 (50.1%). The mean glomerular filtration rate was 45.9 ± 18.9 mL/min/1.73 m(2), and the median albumin/creatinine ratio was 26(0-151) mg/g. IASBPD was ≥10 mmHg in 184 patients (28.1%). The factors associated with IASBPD ≥10 mmHg were age, systolic blood pressure levels, history of congestive heart failure, lower levels of high-density lipid cholesterol and higher use of hypertensive drugs. Fifty-eight patients (8.5%) developed a CV event during the follow-up. IASBPD ≥10 mmHg [HR, 1.802, 95%CI (1.054-3.079); P = 0.031] was an independent predictor of CV events.

CONCLUSIONS

Increased IASBPD is an independent predictor of CV events in CKD patients.