The relationship between resting heart rate and new-onset microalbuminuria in people with type 2 diabetes: An 8-year follow-up study

Soluble receptor for advanced glycation end-products positively correlated to kidney injury with coronary heart disease

AIMS

Coronary heart disease (CHD) patients with changed serum soluble receptor for advanced glycation end products (sRAGE) will experience microalbuminuria and even kidney dysfunction. However, the role of sRAGE for microalbuminuria in CHD is still not established. This study aimed to evaluate the association between sRAGE and early kidney dysfunction in CHD patients.

MATERIALS AND METHODS

In this cross-sectional study, sRAGE and urinary albumin-to-creatinine ratio (uACR) were measured in hospitalized CHD patients who have undergone coronary arteriography to evaluate the distinction and correlation between sRAGE and uACR.

RESULTS

There were 127 CHD patients (mean age: 63.06 ± 10.93 years, 93 males) in the study, whose sRAGE were 1.83 ± 0.64 μg/L. The sRAGE level was higher in kidney injury group (uACR ≥ 30 mg/g) compared with no kidney injury group (uACR < 30 mg/g) [(2.08 ± 0.70 vs. 1.75 ± 0.61) μg/L, P < 0.05]. Moreover, the positive correlation between serum sRAGE and uACR was significant in CHD patients (r = 0.196, P < 0.05). Binary logistic regression suggests sRAGE as a predictor for microalbuminuria in CHD patients [Odd Ratio = 2.62 (1.12-6.15), P < 0.05)]. The area under the receiver operating characteristic curve (AUC) of sRAGE is higher than that of the traditional indicators of renal function such as creatinine and estimated glomerular filtration rate, indicating sRAGE might have a good performance in evaluating early kidney injury in CHD patients [AUC is 0.660 (0.543-0.778), P < 0.01)].

CONCLUSIONS

Serum sRAGE was positively correlated to uACR and might serve as a potential marker to predict early kidney injury in CHD patients.

Resting heart rate is associated with the prevalence of chronic kidney disease in Korean adult: the Korean National Health and Nutrition Survey

BACKGROUND

Chronic kidney disease (CKD) poses a significant health challenge, yet early detection remains difficult. Resting heart rate (RHR) has been shown to be a reliable indicator of type 2 diabetes, prompting interest in its potential as an independent predictor of CKD. This study aimed to investigate the association between RHR and CKD prevalence, as well as explore potential interactions between RHR and other risk factors for CKD in a sample of 25,246 adults.

METHODS

Data from the Korean National Health and Nutrition Examination Survey (2011-2014) were utilized for this study, with 19,210 participants included after screening. Logistic regression analysis was employed to examine the relationship between RHR and CKD prevalence. Stratified analyses were conducted based on known risk factors for CKD.

RESULTS

Participants with an RHR ≥ 90 bpm exhibited a 2.07-fold [95% confidence interval (CI): 1.28-3.34] and 2.22-fold (95% CI: 1.42-3.48) higher prevalence of CKD in men and women, respectively, compared to those with an RHR < 60 bpm. The association between RHR and CKD prevalence was particularly pronounced in younger participants (40-59 years vs. ≥ 60 years), individuals with diabetes (yes vs. no), and those with a longer duration of diabetes (≥ 7 years vs. < 7 years).

CONCLUSION

Elevated RHR was found to be significantly associated with a higher prevalence of CKD in both men and women, independent of demographic, lifestyle, and medical factors. These findings suggest that RHR could serve as a valuable predictor for undiagnosed CKD.

Resting Heart Rate Independent of Cardiovascular Disease Risk Factors Is Associated With End-Stage Renal Disease: A Cohort Study Based on 476 347 Adults

BACKGROUND

The relationship between resting heart rate (RHR) and the risk of end-stage renal disease (ESRD) among those without cardiovascular disease remains unclear. We aim to establish temporal consistency and elucidate the independent relationship between RHR and the risk of ESRD.

METHODS AND RESULTS

This cohort enrolled participants from 476 347 individuals who had taken part in a screening program from 1996 to 2017. We identified 2504 participants who had ESRD, and the median follow-up was 13 years. RHR was extracted from electrocardiography results, and the study assessed the relationship between RHR and the risk of ESRD using the Cox proportional hazards model. Of the participants, 32.6% had an RHR of 60 to 69 beats per minute (bpm), and 22.2% had an RHR of ≥80 bpm. Participants with an RHR of ≥80 bpm had a higher stage of chronic kidney disease, lower estimated glomerular filtration rate, and more proteinuria than those with an RHR of 60 to 69 bpm. Participants with an RHR of 80 to 89 and ≥90 bpm had a 24% (hazard ratio [HR], 1.24 [95% CI, 1.09-1.42]) and 64% (HR, 1.64 [95% CI, 1.42-1.90]) higher risk of ESRD, respectively. The risk of ESRD remained significantly elevated (HR, 1.32 [95% CI, 1.10-1.58] per 10-beat increase from 60 bpm) after excluding participants who smoked; had hypertension, diabetes, or hyperlipidemia; or were overweight.

CONCLUSIONS

An RHR of ≥80 bpm is significantly associated with an increased risk of ESRD. These results suggest that RHR may serve as a risk factor for kidney disease in individuals without established cardiovascular disease risk factors.

Association of Resting Heart Rate Trajectories With Cardiovascular Disease and Mortality in Patients With Diabetes Mellitus

CONTEXT

Longitudinal patterns of resting heart rate (RHR) in patients with diabetes mellitus and their association with health outcomes are not well-characterized.

OBJECTIVE

We sought to explore the RHR trajectories in patients with diabetes mellitus and their association with cardiovascular disease (CVD) and all-cause mortality.

DESIGN

The Kailuan Study is a prospective cohort study. Participants underwent health examinations biennially starting in 2006 and were followed until December 31, 2020.

SETTING

General community.

PARTICIPANTS

A total of 8218 diabetic participants who attended at least 3 of the examinations conducted in 2006, 2008, 2010, and 2012 were included.

MAIN OUTCOME MEASURES

CVD and all-cause mortality.

RESULTS

We identified 4 RHR trajectories in participants with diabetes mellitus between 2006 and 2012: low-stable (range, 66.83-64.91 beats/min; n = 1705), moderate-stable (range, 76.30-76.95 beats/min; n = 5437), high-decreasing (mean decreased from 92.14 to 85.60 beats/min; n = 862), and high-increasing (mean increased from 84.03 to 111.62 beats/min; n = 214). During an average follow-up of 7.25 years, 977 cases of CVD and 1162 deaths were identified. Compared with the low-stable trajectory, adjusted hazard ratios (HRs) for CVD were 1.48 (95% CI, 1.02-2.14; P = .04) for the high-increasing trajectory, adjusted HRs for all-cause mortality were 1.34 (95% CI, 1.14-1.58; P < .01) for the moderate-stable trajectory, 1.68 (95% CI, 1.35-2.10; P < .01) for the high-decreasing trajectory, and 2.47 (95% CI, 1.85-3.31; P < .01) for the high-increasing trajectory.

CONCLUSIONS

RHR trajectories were associated with the subsequent risks of CVD and all-cause mortality in patients with diabetes mellitus.

Association of cumulative resting heart rate exposure with rapid renal function decline: a prospective cohort study with 27,564 older adults

OBJECTIVE

To evaluate the prospective association between cumulative resting heart rate (cumRHR) and rapid renal function decline (RRFD) in a cohort of individuals aged 60 and older.

METHODS

In the Tianjin Chronic Kidney Disease Cohort Study, the individuals who underwent three consecutive physical examinations between 2014 and 2017, with estimated glomerular filtration rate (eGFR) greater than 60 mL/min per 1.73 m2 and aged 60 years or older were enrolled. A total of 27,564 patients were prospectively followed up from January 1, 2017 to December 31, 2020. The 3-year cumRHR was calculated. The primary outcome was RRFD, defined as an annualized decline in eGFR of 5 mL/min per 1.73 m2 or greater. Logistic and restricted spline regression models and subgroup analysis were used to investigate the association of cumRHR with RRFD after adjusting for all confounders.

RESULTS

During a median follow-up of 3.2 years, a total of 4,347 (15.77%) subjects developed RRFD. In fully-adjusted models, compared with the lowest quartile of cumRHR, the odds ratio (OR) for the highest was 1.44 (1.28-1.61), P < 0.001. Furthermore, each 1-standard deviation (27.97 beats/min per year) increment in cumRHR was associated with a 17% (P < 0.001) increased risk of RRFD, with a linear positive correlation (P for non-linear = 0.803). Participants with a 3-year cumRHR ≥ 207 (beats/min) * year (equivalent to ≥ 69 beats/min per year in 3 years) were found to be at a higher risk of RRFD.

CONCLUSIONS

The cumRHR is significantly associated with a higher risk of RRFD among older adults. These results might provide an effective goal for managing and delaying the decline of renal function in the older adults.

A nomogram for screening sarcopenia in Chinese type 2 diabetes mellitus patients

OBJECTIVE

Diabetes is an important risk factor for sarcopenia and contributes to poor prognosis; it is important for clinicians to identify sarcopenia early in the population with type 2 diabetes mellitus. Our aim was to establish a clinical screening model of sarcopenia in Chinese patients with type 2 diabetes mellitus.

METHODS

A cross-sectional study was conducted involving 1131 hospitalized patients (62.67 ± 11.25 years) with type 2 diabetes mellitus, including 560 men and 571 women. All muscle/fat parameters were measured by dual energy X-ray absorptiometry and the clinical correlation with sarcopenia was evaluated. The least absolute shrinkage and selection operator was used to select optimal variables and build a nomogram chart of the sarcopenic screening model for patients with type 2 diabetes mellitus, respectively. The area under the receiver operating characteristic curve (AUC), the calibration curve, the analysis of the decision curve, the clinical impact curve, and external validations were used to evaluate discriminative ability and clinical applicability.

RESULTS

The prevalence of sarcopenia in patients with type 2 diabetes mellitus was 30.06 % (340/1131). Compared to the non-sarcopenic group, the sarcopenic group was older, more likely to be men, and had a higher heart rate and lower body mass index (BMI), waist-hip ratio (WHR), upper limb muscle mass, lower limb muscle mass and fat paraments (all P < 0.05). Five independent variables (age, sex, BMI, WHR and heart rate) were selected to construct a nomogram prediction model. The AUC was 0.907 (95 % CI: 0.890-0.925). The calibration curve, decision curve analysis, and clinical impact curves showed a wide range of nomograms with good clinical applicability under threshold probability. Additionally, internal validation showed a good AUC of 0.908 (95 % CI: 0.886-0.928) in the training set and 0.904 (95 % CI: 0.868-0.941) in the testing set, as well as an accuracy of 93.2 % for the screening of sarcopenia in the external validation set.

CONCLUSIONS

Age, sex, BMI, WHR, and heart rate were used to detect sarcopenia in patients with type 2 diabetes mellitus. The novel screening model is an accurate, easy-to-implement and low-cost tool for early identification of sarcopenia in Chinese patients with type 2 diabetes mellitus.