Prognostic importance of visit-to-visit blood pressure variability for micro- and macrovascular outcomes in patients with type 2 diabetes: The Rio de Janeiro Type 2 Diabetes Cohort Study

Efficacy of using telecare services for community-dwelling people with diabetes: A systematic review and meta-analysis

OBJECTIVE

To evaluate the glycated hemoglobin (HbA1c), blood pressure, self-efficacy, and quality of life efficacy of using telecare services for community-dwelling people with diabetes.

METHODS

Cochrane Library, Web of Science, PsycINFO, PubMed, EMBASE, CINAHL, and Scopus databases were systematically searched from their inception dates to June 22, 2023. Two evaluators independently selected and evaluated eligible studies. A protocol was registered in PROSPERO.

RESULTS

An analysis of 17 studies that included 3586 subjects showed that telecare significantly improved the management of patients with diabetes. Compared to controls, intervention care had significant benefits regarding HbA1c (MD = -0.30, 95 % CI = -0.44 - -0.17, 16 studies), systolic blood pressure (MD = -2.45, 95 % CI = -4.53 - -0.36, P = 0.02), self-efficacy (MD = 0.36, 95 % CI = 0.04 - 0.67, P = 0.03) and quality of life (MD = 0.37, 95 % CI = 0.05 - 0.70, P = 0.02). However, diastolic blood pressure (MD = -1.37, 95 % CI = -3.34 - -0.61, P = 0.17) was not found to be significantly affected.

CONCLUSIONS

Telecare is effective in improving self-management among community-dwelling people with diabetes, suggesting an effective means for them to achieve self-management.

Preliminary research on LncRNA ATP2B2-IT2 in neovascularization of diabetic retinopathy

OBJECTIVE

Diabetic retinopathy (DR) is a common complication of diabetes, and recent findings have shown that long noncoding RNAs (lncRNAs) may be involved in its pathogenesis. Through bioinformatics analysis, we found that lncRNA ATP2B2-IT2 may be involved in this process. This study primarily investigated the expression of the lncRNA ATP2B2-IT2 in human retinal microvascular endothelial cells (HRMECs) under high-glucose conditions and its effects on HRMEC proliferation, migration, and neovascularization.

METHODS

We used RT‒PCR to assess the expression levels of lncRNA ATP2B2-IT2 and vascular endothelial growth factor (VEGF) in HRMECs under normal glucose (5.5 mmol/L) and high glucose (30 mmol/L) conditions. HRMECs were subsequently divided into four groups: the normal glucose (NG), high glucose (HG), high glucose with lncRNA ATP2B2-IT2 silencing (HG + si-lncRNA ATP2B2-IT2), and high glucose with silencing control (HG + si-NC) groups. The expression levels of the lncRNA ATP2B2-IT2 and VEGF in each group were determined using RT‒PCR. Thereafter, cell proliferation, migration, and neovascularization were assessed using CCK-8, Transwell, and tube formation assays, respectively.

RESULTS

RT‒PCR revealed that the expression levels of the lncRNA ATP2B2-IT2 and VEGF were greater in the HG group than in the NG group (P < 0.05). After silencing of the lncRNA ATP2B2-IT2, the expression of VEGF decreased significantly (P < 0.05). Subsequent CCK-8, Transwell, and tube formation assays demonstrated that compared to those in the NG group, the HRMECs in the HG group exhibited significantly increased proliferation, migration, and neovascularization (P < 0.05). However, after silencing of the lncRNA ATP2B2-IT2, the proliferation, migration, and neovascularization of HRMECs were significantly decreased in the HG + si-lncRNA ATP2B2-IT2 group compared to those in the HG group (P < 0.05).

CONCLUSION

LncRNA ATP2B2-IT2 may promote the proliferation, migration and neovascularization of HRMECs under high-glucose conditions.

Association between dietary fiber intake and diabetic nephropathy among adult diabetes mellitus in the United States: A cross-sectional study

Objective

There has been some evidence that dietary fiber may be associated with diabetic nephropathy (DN), but the relationship is still unclear. The purpose of this study was to examine the association between dietary fiber intake and DN.

Methods

This cross-sectional study used National Health and Nutrition Examination Survey (NHANES) data collected between 2007 and 2020. Weighted multivariate logistic regression was used to examine the relation between dietary fiber intake and DN. In addition, fitted smoothed curves were used to explore potential non-linear relationships. If non-linearity was observed, inflection points were further calculated by a recursive algorithm.

Results

The study finally included 5964 subjects ≥20 years of age. The mean age was 60.8 ± 13.4 years with males (52.4 %), and non-Hispanic Whites (62.4 %), and the weighted prevalence of DN was 36.7 %. Dietary fiber was negatively associated with the risk of DN after controlling for all confounding variables (OR = 0.89, 95%CI: 0.80, 0.99). Smoothed curve fit plots of the dose relationship showed that dietary fiber intake was linearly related to DN, whereas males (inflection point of 8.0 g/d) and non-Hispanic Blacks (inflection point of 14.9 g/d) followed a non-linear inverted U-shaped curve relationship. In United States adults aged 20 and older, dietary fiber intake may be associated with a reduced risk of DN.

Conclusion

Appropriate increases in dietary fiber intake may offer potential benefits for DN. In conclusion, it appears that increasing dietary fiber intake may be one of the most effective strategies for the prevention and management of DN.

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D).

METHODS

We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.

RESULTS

Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort.

CONCLUSIONS

Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis

Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Effects of metabolic parameters' variability on cardiovascular outcomes in diabetic patients

BACKGROUND

Metabolic abnormalities such as dyslipidemia, glucose and high blood pressure are common in diabetic patients. Visit-to-visit variabilities in these measures have been reported as potential residual cardiovascular risk factors. However, the relationship between these variabilities and their effects on cardiovascular prognosis have not been studied.

METHODS

A total of 22,310 diabetic patients with ≥ 3 measurements of systolic blood pressure (SBP), blood glucose, total cholesterol (TC), and triglyceride (TG) levels during a minimum of three years at three tertiary general hospitals were selected. They were divided into high/low variability groups for each variable based on the coefficient of variation (CV) values. The primary outcome was the incidence of major adverse cardiovascular events (MACE), a composite of cardiovascular death, myocardial infarction, and stroke.

RESULTS

All high CV groups had a higher incidence of MACE than those with low CV (6.0% vs. 2.5% for SBP-CV groups, 5.5% vs. 3.0% for TC-CV groups, 4.7% vs. 3.8% for TG-CV groups, 5.8% vs. 2.7% for glucose-CV groups). In multivariable Cox regression analysis,, high SBP-CV (HR 1.79 [95% CI 1.54-2.07], p < 0.01), high TC-CV (HR 1.54 [95% CI 1.34-1.77], p < 0.01), high TG-CV (HR 1.15 [95% CI 1.01-1.31], p = 0.040) and high glucose-CV (HR 1.61 [95% CI 1.40-1.86], p < 0.01) were independent predictors of MACE.

CONCLUSION

Variability of SBP, TC, TG and glucose are important residual risk factors for cardiovascular events in diabetic patients.

Visit-to-visit variability of blood pressure and risk of macrovascular and microvascular complications in patients with type 2 diabetes: A Chinese primary-care cohort study

BACKGROUND

We evaluated the effects of visit-to-visit variability of systolic blood pressure (SBP) and diastolic blood pressure (DBP) on macrovascular and microvascular complications among patients with type 2 diabetes.

METHODS

A total of 11 043 patients with type 2 diabetes from primary healthcare institutions between January 2010 and June 2020 were included. The visit-to-visit blood pressure variability was calculated using three metrics: SD, coefficient of variation (CV), and average real variability (ARV), obtained over a 12-month measurement period. The associations of visit-to-visit blood pressure variability with macrovascular and microvascular complications were evaluated using multivariate-adjusted Cox proportional hazards models, and hazard ratio (HR) with 95% confidence interval (CI) were reported.

RESULTS

There were 330 macrovascular events and 542 microvascular events. Compared to those for participants with the lowest quartile of SD of SBP and DBP, increased risks were observed in patients with the highest quartile of SD of SBP and DBP for macrovascular complications (SD-SBP: HR = 1.78, 95% CI: 1.24-2.57; SD-DBP: HR = 2.20, 95% CI: 1.50-3.25) and microvascular complications (SD-SBP: HR = 1.85, 95% CI: 1.39-2.46; SD-DBP: HR = 1.82, 95% CI: 1.36-2.44). CV and ARV of SBP and DBP also had statistically significant associations with macrovascular and microvascular complications. The optimal variability of blood pressure target was SD of SBP <6.45 mm Hg and SD of DBP <4.81 mm Hg.

CONCLUSIONS

Visit-to-visit blood pressure variability may be a potential predictor for macrovascular and microvascular complications in patients with type 2 diabetes.

Association of ambulatory blood pressure with coronary microvascular and cardiac dysfunction in asymptomatic type 2 diabetes

Background

Type 2 diabetes (T2D) and hypertension commonly coexist and are associated with subclinical myocardial structural and functional changes. We sought to determine the association between blood pressure (BP) and left ventricular (LV) remodeling, systolic/diastolic function, and coronary microvascular function, among individuals with T2D without prevalent cardiovascular disease.

Methods

Participants with T2D and age-, sex-, and ethnicity-matched controls underwent comprehensive cardiovascular phenotyping including fasting bloods, transthoracic echocardiography, cardiovascular magnetic resonance imaging with quantitative adenosine stress/rest perfusion, and office and 24-h ambulatory BP monitoring. Multivariable linear regression was performed to determine independent associations between BP and imaging markers of remodeling and function in T2D.

Results

Individuals with T2D (n = 205, mean age 63 ± 7 years) and controls (n = 40, mean age 61 ± 8 years) were recruited. Mean 24-h systolic BP, but not office BP, was significantly greater among those with T2D compared to controls (128.8 ± 11.7 vs 123.0 ± 13.1 mmHg, p = 0.006). Those with T2D had concentric LV remodeling (mass/volume 0.91 ± 0.15 vs 0.82 ± 0.11 g/mL, p < 0.001), decreased myocardial perfusion reserve (2.82 ± 0.83 vs 3.18 ± 0.82, p = 0.020), systolic dysfunction (global longitudinal strain 16.0 ± 2.3 vs 17.2 ± 2.1%, p = 0.004) and diastolic dysfunction (E/e’ 9.30 ± 2.43 vs 8.47 ± 1.53, p = 0.044) compared to controls. In multivariable regression models adjusted for 14 clinical variables, mean 24-h systolic BP was independently associated with concentric LV remodeling (β = 0.165, p = 0.031), diastolic dysfunction (β = 0.273, p < 0.001) and myocardial perfusion reserve (β = − 0.218, p = 0.016). Mean 24-h diastolic BP was associated with LV concentric remodeling (β = 0.201, p = 0.016).

Conclusion

24-h ambulatory systolic BP, but not office BP, is independently associated with cardiac remodeling, coronary microvascular dysfunction, and diastolic dysfunction among asymptomatic individuals with T2D. (Clinical trial registration. URL: https://clinicaltrials.gov/ct2/show/NCT03132129 Unique identifier: NCT03132129).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-022-01528-2.

Differential effects of treatment targets on risks of adverse outcomes according to diabetes duration, age and complications: Can these characteristics be used to individualize diabetes treatment? The Rio de Janeiro type 2 diabetes cohort

AIMS

To investigate interactions between more/less strict treatment targets (HbA_1c, systolic blood pressure, LDL-cholesterol) and clinical characteristics (age, diabetes duration and presence of complications) for occurrence of cardiovascular/microvascular complications and mortality in type 2diabetes.

METHODS

690 individuals were followed-up for 10 years (median). Interactions between treatment targets, estimated as mean values during the first 2-years, and clinical characteristics were tested in multivariable Cox regressions adjusted for other risk factors. Hazard ratios (HRs) were estimated in stratified analyses for cardiovascular/microvascular outcomes and mortality.

RESULTS

During follow-up, 214 patients had a cardiovascular event (175 MACEs); and 265 died (132 cardiovascular deaths); there were 206 renal, 161 retinopathy and 181 peripheral neuropathy events. There were interactions between treatment parameters and clinical characteristics, in most of them the HRs were higher in older individuals, in those with longer diabetes durations and with complications, particularly for the cardiovascular outcomes and mortality. For microvascular outcomes the opposite was observed. For cardiovascular mortality, the HRs of higher HbA_1c were 1.31 (1.08-1.58) and 1.09 (0.88-1.34), respectively with longer/shorter diabetes duration (p-for-interaction 0.11); and 1.43 (1.14-1.79) and 1.02 (0.85-1.23) in older/younger individuals (p-for-interaction 0.019).

CONCLUSIONS

Our findings do not support less strict treatment targets for older individuals, with longer diabetes duration or with complications, particularly for cardiovascular and mortality prevention.

Blood pressure variability in individuals with diabetes mellitus: a scoping review

ABSTRACT Objectives: to map methods and devices used to assess very short-, short-, medium-, and long-term pressure variability in adults with type 1 or 2 diabetes mellitus. Methods: scoping review conducted in January and February 2021 in MEDLINE, Web of Science, CINAHL, LILACS, PubMed, and Embase databases. Studies conducted within the last ten years analyzing pressure variability in adult and older patients with diabetes mellitus type 1 or 2 were included. Studies that used discontinued devices were excluded. Results: the sample was composed of 25 articles published since 2017, with the majority developed in Japan (n=11); with the predominance of the oscillometric method (n=22); the most used devices were from the Omron® brand (n=14); the most detected type was long-term variability (n=10). Conclusions: we observed the increasing application of the oscillometric method for pressure variability analysis with various brands and models of automatic devices.

Long-Term Variability of Blood Pressure, Cardiovascular Outcomes, and Mortality: The Look AHEAD Study

BACKGROUND

We evaluated the associations of visit-to-visit blood pressure (BP) variability with incident cardiovascular disease (CVD) and deaths in adults with type 2 diabetes.

METHODS

We analyzed 4,152 participants in Look AHEAD (Action for Health in Diabetes) free of CVD events and deaths during the first 36 months of follow-up. Variability of systolic BP (SBP) and diastolic BP (DBP) across 4 annual visits was assessed using the intraindividual SD, variation independent of the mean, and coefficient of variation. Cox regression was used to generate the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for CVD (myocardial infarction [MI], stroke, or CVD-related deaths) and mortality.

RESULTS

Over a median of 6.6 years, there were 220 MIs, 105 stroke cases, 62 CVD-related deaths, and 236 deaths. After adjustment for confounders including average BP, the aHRs for the highest (vs. lowest) tertile of SD of SBP were 1.98 (95% CI 1.01-3.92), 1.25 (95% CI 0.90-1.72), 1.26 (95% CI 0.96-1.64), 1.05 (95% CI 0.75-1.46), and 1.64 (95% CI 0.99-2.72) for CVD mortality, all-cause mortality, CVD, MI, and stroke, respectively. The equivalent aHRs for SD of DBP were 1.84 (95% CI 0.98-3.48), 1.43 (95% CI 1.03-1.98), 1.19 (95% CI 0.91-1.56), 1.14 (95% CI 0.82-1.58), and 0.97 (95% CI 0.58-1.60), respectively.

CONCLUSIONS

In a large sample of individuals with type 2 diabetes, a greater variability in SBP was associated with higher cardiovascular mortality and CVD events; a higher variability in DBP was linked to increased overall and cardiovascular mortality.

Variability of risk factors and diabetes complications

Several studies suggest that, together with glucose variability, the variability of other risk factors, as blood pressure, plasma lipids, heart rate, body weight, and serum uric acid, might play a role in the development of diabetes complications. Moreover, the variability of each risk factor, when contemporarily present, may have additive effects. However, the question is whether variability is causal or a marker. Evidence shows that the quality of care and the attainment of the target impact on the variability of all risk factors. On the other hand, for some of them causality may be considered. Although specific studies are still lacking, it should be useful checking the variability of a risk factor, together with its magnitude out of the normal range, in clinical practice. This can lead to an improvement of the quality of care, which, in turn, could further hesitate in an improvement of risk factors variability.

The risk trajectory of different cardiovascular morbidities associated with chronic kidney disease among patients with newly diagnosed diabetes mellitus: a propensity score-matched cohort analysis

Background

Chronic kidney disease (CKD) introduces an increased cardiovascular risk among patients with diabetes mellitus (DM). The risk and tempo of cardiovascular diseases may differ depending upon their type. Whether CKD differentially influences the risk of developing each cardiovascular morbidity in patients with newly diagnosed DM remains unexplored.

Methods

We identified patients with incident DM from the Longitudinal Cohort of Diabetes Patients (LCDP) cohort (n = 429,616), and uncovered those developing CKD after DM and their propensity score-matched counterparts without. After follow-up, we examined the cardiovascular morbidity-free rates of patients with and without CKD after DM, followed by Cox proportional hazard regression analyses. We further evaluated the cumulative risk of developing each outcome consecutively during the study period.

Results

From LCDP, we identified 55,961 diabetic patients with CKD and matched controls without CKD. After 4.2 years, patients with incident DM and CKD afterward had a significantly higher risk of mortality (hazard ratio [HR] 1.1, 95% confidence interval [CI] 1.06–1.14), heart failure (HF) (HR 1.282, 95% CI 1.19–1.38), acute myocardial infarction (AMI) (HR 1.16, 95% CI 1.04–1.3), and peripheral vascular disease (PVD) (HR 1.277, 95% CI 1.08–1.52) compared to those without CKD. The CKD-associated risk of mortality, HF and AMI became significant soon after DM occurred and remained significant throughout follow-up, while the risk of PVD conferred by CKD did not emerge until 4 years later. The CKD-associated risk of ischemic, hemorrhagic stroke and atrial fibrillation remained insignificant.

Conclusions

The cardiovascular risk profile among incident DM patients differs depending on disease type. These findings can facilitate the selection of an optimal strategy for early cardiovascular care for newly diagnosed diabetic patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01279-6.

Predictive value of visit-to-visit blood pressure variability for cardiovascular events in patients with coronary artery disease with and without diabetes mellitus

Background

High blood pressure is a major risk factor for cardiovascular disease. Visit-to-visit blood pressure variability (BPV) has recently been shown to predict cardiovascular outcomes. We investigated the predictive value of BPV for major adverse cardiovascular events (MACE) among patients with coronary artery disease (CAD), with and without type 2 diabetes mellitus (T2DM).

Methods

Patients with stable CAD were enrolled and monitored for new MACE. Visit-to-visit BPV was defined as the coefficient of variation (CV) of systolic and diastolic BP across clinic visits. Multivariable logistic regression analysis was performed to evaluate the association of BPV with MACE. Area under the receiver operating characteristic curve (AUC) was used to assess its predictive ability.

Results

Among 1140 Chinese patients with stable CAD, 192 (17%) experienced a new MACE. In multivariable analyses, the risk of MACE was significantly associated with CV of systolic BP (odds ratio [OR] for highest versus lowest quartile, 3.30; 95% CI 1.97–5.54), and diastolic BP (OR for highest versus lowest quartile, 2.39; 95% CI 1.39–4.11), after adjustment for variables of the risk factor model (age, gender, T2DM, hypertension, antihypertensive agents, number of BP measurements) and mean BP. The risk factor model had an AUC of 0.70 for prediction of MACE. Adding systolic/diastolic CV into the risk factor model with mean BP significantly increased the AUC to 0.73/0.72 (P = 0.002/0.007). In subgroup analyses, higher CV of systolic BP remained significantly associated with an increased risk for MACE in patients with and without T2DM, whereas the association of CV of diastolic BP with MACE was observed only in those without T2DM.

Conclusions

Visit-to-visit variability of systolic BP and of diastolic BP was an independent predictor of new MACE and provided incremental prognostic value beyond mean BP and conventional risk factors in patients with stable CAD. The association of BPV in CAD patients without T2DM with subsequent risk for MACE was stronger than in those with T2DM.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01280-z.

School-based surveillance on visit-to-visit blood pressure variability and high blood pressure in children and adolescents

Background

The predictive importance of visit-to-visit blood pressure variability (VVV) for high blood pressure (HBP) in a pediatric population has been largely unsettled. We aimed to evaluate it based on Health Promotion Program for Children and Adolescents (HPPCA), a school-based surveillance conducted from 2012 to 2018 in Suzhou, China.

Methods

A total of 330,618 participants had BP measurement in 2018 and ≥ 3 BP records during 2012–2017, were recruited from HPPCA. Absolute BP values (in mmHg) were converted into age-, sex- and height- normalized z-scores. VVV was expressed as standard deviation (SD), coefficient of variation (CV) or average real variability (ARV) of BP z-scores during 2012–2017. Logistic regression models were used to assess the associations between VVV and HBP in 2018.

Results

In 2018, 42,554 (12.87%) subjects were defined as HBP. VVV, except for SBP-CV and DBP-CV, was significantly higher in the HBP group than normotensives group. After adjusting for covariates including mean BP values from 2012 to 2017, SBP-SD, SBP-ARV, DBP-SD and DBP-ARV, increased the risk of HBP by 5.70 [95% confidence interval (95% CI) 5.54–5.87], 4.10 (95% CI 4.01–4.20), 4.70 (95% CI 4.50–4.90) and 3.39 (95% CI 3.28–3.50) times, respectively. Notably, SBP-SD significantly improved risk discrimination of HBP based on other risk variables (c-statistics, net reclassification index and integrated discrimination improvement significantly increased).

Conclusions

Higher SD or ARV of BP, was independently related with higher probability of HBP in Chinese pediatric population. SBP-SD could be potentially helpful for detecting HBP. Future researches investigating the predictive value of VVV are warrant.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-021-01947-1.

Prognostic impact of short-term ambulatory blood pressure variability for microvascular and macrovascular outcomes in patients with type 2 diabetes: the Rio de Janeiro Type 2 Diabetes Cohort Study

OBJECTIVE

To evaluate the prognostic importance of short-term blood pressure variability (BPV) for the occurrence of macrovascular and microvascular complications in individuals with type 2 diabetes.

METHODS

Six hundred and forty patients had 24-h ambulatory BP monitoring performed at baseline and were followed-up over a median of 11.2 years. Daytime, night-time and 24-h SBP and DBPV parameters (standard deviations and variation coefficients) were calculated. Multivariate Cox analysis, adjusted for risk factors and mean BPs, examined the associations between BPV and the occurrence of microvascular (retinopathy, microalbuminuria, renal function deterioration, peripheral neuropathy) and macrovascular complications [total cardiovascular events (CVEs), major adverse CVEs [MACEs]), and cardiovascular and all-cause mortalities. Improvements in risk discrimination were assessed by the C-statistic and Integrated Discrimination Improvement (IDI) index.

RESULTS

During follow-up, 186 patients had a CVE (150 MACEs), and 237 patients died (107 from cardiovascular diseases); 155 newly developed or worsened diabetic retinopathy, 200 achieved the renal composite outcome (124 newly developed microalbuminuria and 102 deteriorated renal function), and 170 newly developed or worsened peripheral neuropathy. Daytime DBPV was the best predictor for all cardiovascular outcomes and mortality, with hazard ratios (for increments of 1SD) ranging from 1.27 (95% CI 1.09-1.48) for all-cause mortality to 1.55 (1.29-1.85) for MACEs, and it improved cardiovascular risk discrimination (with increases in C-statistic of up to 0.026, and IDIs of up to 22.8%). No BPV parameter predicted any microvascular outcome.

CONCLUSION

Short-term BPV, particularly daytime DBPV, predicts future development of macrovascular complications and mortality and improves cardiovascular risk discrimination in patients with diabetes.

Increased Level of Systolic Blood Pressure in Hepatocellular Carcinoma Patients with Diabetes Mellitus

BACKGROUND

More than 50% of patients with type 2 diabetes mellitus (DM) also have hypertension. Moreover, hypertension has been regarded as one paraneoplastic phenomenon of hepatocellular carcinoma (HCC). Our study was designed to determine the relationship between blood pressure and DM in HCC patients.

PATIENTS AND METHODS

A total of 879 HCC patients were included and 151 (17.2%) were diagnosed with DM. Multivariable logistic regression analysis was used to determine the relationship and the results were expressed as adjusted odds ratios (AORs) and their 95% confidence intervals (CIs). Considering the effect of potential confounders, sub-group analysis was performed. We would further study the association of systolic blood pressure (SBP) with fasting glucose, and the association between DM duration/treatment and SBP level.

RESULTS

Compared with non-diabetic patients, the diabetic patients had increased levels of SBP (133.7±18.5 mmHg vs 128.3±15.2 mmHg, P=0.001) and fasting blood glucose (9.13±3.04 mmol/L vs 5.18±1.08 mmol/L, P<0.001), an elder age (58.5±10.2 years vs 55.3±11.2 years, P=0.001), a higher percentage of cirrhosis diagnosis (60.9% vs 48.2%, P=0.004), lower percentages of drinking (18.5% vs 30.8%, P=0.002) and smoking (30.5% vs 43.7%, P=0.003), and decreased levels of GGT (median/interquartile-range 88/53-177 U/L vs 117/58-248 U/L, P=0.037), platelet count (121.4±76.6 ×10⁹/L vs 151.2±82.8 ×10⁹/L, P<0.001) and hemoglobin (124.3±25.5 g/L vs 133.6±24.2 g/L, P<0.001). Multivariable analysis showed that, statistically significant differences were found for SBP ≥140 mmHg (AOR=2.101; 95% CI, 1.424-3.100; P<0.001), smoking (AOR=0.637; 95% CI, 0.415-0.979; P=0.040), hemoglobin (AOR=0.990; 95% CI, 0.983-0.998; P=0.010) and platelet count (AOR=0.996; 95% CI, 0.994-0.999; P=0.009). For the relationship between SBP and DM, the positive result was supported by most (10/14) of the subgroup analyses.

CONCLUSION

SBP level was increased in HCC patients with diabetes mellitus.