Association of pulse pressure with all-cause mortality in young adults

The contribution of cumulative blood pressure load to dementia, cognitive function and mortality in older adults

BACKGROUND

Few studies evaluated the contribution of long-term elevated blood pressure (BP) towards dementia and deaths. We examined the association between cumulative BP (cBP) load and dementia, cognitive decline, all-cause and cardiovascular deaths in older Australians. We also explored whether seated versus standing BP were associated with these outcomes.

METHODS

The Sydney Memory and Aging Study included 1037 community-dwelling individuals aged 70-90 years, recruited from Sydney, Australia. Baseline data was collected in 2005-2007 and the cohort was followed for seven waves until 2021. cSBP load was calculated as the area under the curve (AUC) for SBP ≥140 mmHg divided by the AUC for all SBP values. Cumulative diastolic BP (cDBP) and pulse pressure (cPP) load were calculated using thresholds of 90 mmHg and 60 mmHg. Cox and mixed linear models were used to assess associations.

RESULTS

Of 527 participants with both seated and standing BP data (47.7% men, median age 77), 152 (28.8%) developed dementia over a mean follow-up of 10.5 years. Higher cPP load was associated with a higher risk of all-cause deaths, and cSBP load was associated with a higher risk of cardiovascular deaths in multivariate models ( P for trend < 0.05). Associations between cPP load, dementia and cognitive decline lost statistical significance after adjustment for age. Differences between sitting and standing BP load were not associated with the outcomes.

CONCLUSION

Long-term cPP load was associated with a higher risk of all-cause deaths and cSBP load associated with a higher risk of cardiovascular deaths in older Australians.

Non-linear relationship between pulse pressure and the risk of pre-diabetes: a secondary retrospective Chinese cohort study

OBJECTIVE

Previous research has shown that pulse pressure (PP) has a significant role in the start and development of type 2 diabetes mellitus. However, there is little proof that PP and pre-diabetes mellitus (Pre-DM) are related. Our study aimed to investigate the relationship between PP and incident pre-DM in a substantial cohort of Chinese participants.

DESIGN

The 'DATADRYAD' database (www.Datadryad.org) was used to retrieve the data for this secondary retrospective cohort analysis.

PARTICIPANTS

Data from 182 672 Chinese individuals who participated in the medical examination programme were recorded in this retrospective cohort study between 2010 and 2016 across 32 sites and 11 cities in China.

SETTING

PP assessed at baseline and incident pre-DM during follow-up were the target-independent and dependent variables. The association between PP and pre-DM was investigated using Cox proportional hazards regression.

PRIMARY OUTCOME MEASURES

The outcome was incident pre-DM. Impaired fasting glucose levels (fasting blood glucose between 5.6 and 6.9 mmol/L) were used to define pre-DM.

RESULTS

After controlling for confounding variables, PP was positively correlated with incident pre-DM among Chinese adults (HR 1.009, 95% CI 1.007 to 1.010). Additionally, at a PP inflection point of 29 mm Hg, a non-linear connection between the PP and incident pre-DM was discovered. Increased PP was an independent risk factor for developing pre-DM when PP was greater than 29 mm Hg. However, their association was not significant when PP was less than 29 mm Hg. According to subgroup analyses, females, never-smokers and non-obesity correlated more significantly with PP and pre-DM.

CONCLUSION

We discovered that higher PP independently correlated with pre-DM risk in this study of Chinese participants. The connection between PP and incident pre-DM was also non-linear. High PP levels were related to a higher risk of pre-DM when PP was above 29 mm Hg.

ARTICLE FOCUS

Our study investigated the relationship between PP and incident pre-DM in a secondary retrospective cohort of Chinese participants.

John J, Van Iterson EH, Laffin LJ. Association of pulse pressure with death, myocardial infarction, and stroke among cardiovascular outcome trial participants

Background

Prior evidence demonstrates that pulse pressure (PP), a surrogate marker of arterial stiffness, is an independent risk factor for mortality and major adverse cardiovascular (CV) events.

Objectives

The study aimed to identify the association of PP with death, myocardial infarction, and stroke among participants enrolled in large CV outcome clinical trials and determine if this association was impacted by pre-existing CV disease, or specific CV risk factors.

Methods

A total of 65,382 individuals, ages 19 to 98 years, that were enrolled in one of five CV outcome trials were analyzed. Baseline demographics, history, blood pressures, and medications were collected. Univariate and multivariable analyses were conducted to explore temporal patterns, risks, and adjusted survival rates.

Results

Mean baseline PP was 52 ± 12 mmHg. For every 10 mmHg increase in PP, there was an increased risk of death, stroke, or myocardial infarction (hazard ratio (HR) 1.11, 95 % CI 1.08 to 1.14, p < 0.001). Similarly, a PP ≥ 60 mmHg demonstrated an HR of 1.27 (95 % CI 1.19 to 1.36, p < 0.001) compared with PP < 60 mmHg. A similar association existed for all subgroups analyzed except for participants with a history of stroke where increasing PP did not increase risk (HR 1.02, 95 % CI 0.95 to 1.10, p = 0.53). PP was a better predictor of adverse outcomes when compared to both systolic and diastolic blood pressures using the AIC and C-index.

Conclusions

Among participants enrolled in CV outcome trials, baseline PP is associated with increased risk of death, myocardial infarction, and stroke for those with pre-existing CV disease and risk factors with the exception of a prior history of stroke.

Association of pulse pressure with all-cause mortality in older Japanese patients with type 2 diabetes mellitus: A observational cohort study

AIM

Although systolic and diastolic blood pressures as well as blood glucose are monitored when nurses care for patients with type 2 diabetes, the same is not true for pulse pressure. We aimed to determine the association between pulse pressure and all-cause mortality.

METHODS

We conducted a longitudinal study of outpatients with type 2 diabetes aged 65 years and older at diabetes-specialized hospitals in Japan from September 2004 to December 2016. Descriptive data, blood pressure measurements, blood analysis data, and information on life and death were obtained from medical records. Cox proportional hazards models were used to estimate the relative risks with 95% confidence intervals for all-cause mortality.

RESULTS

We analyzed 357 of the 383 recruited patients (mean age, 74.9 years; 175 men and 182 women; average follow-up, 7.7 years), and 50 patients died. After adjusting for covariates, the relative risks for pulse pressures of 55 to <65, 65 to <75, and ≥75 mmHg (reference: <55 mmHg) were 1.77 (95% confidence interval: [0.59, 5.28]), 2.66 (95% confidence interval: [0.93, 7.56]), and 3.23 (95% confidence interval: [1.16, 8.99]), respectively. The relative risk for the 65 mmHg or higher group (reference: <65 mmHg) was 2.08 (95% confidence interval: [1.11, 3.92]). Neither systolic blood pressure nor diastolic blood pressure alone were significantly associated with mortality.

CONCLUSIONS

In older patients with type 2 diabetes, a wide pulse pressure was associated with a higher risk of all-cause mortality. Nurses caring for older people with diabetes should also monitor pulse pressure.

Pulse pressure and the risk of renal hyperfiltration in young adults: Results from Korea National Health and Nutrition Examination Survey (2010–2019)

Background

High pulse pressure (PP) is associated with increased risk of decline of kidney function. However, little is known about the association between PP and RHF in young adults. This study aimed to evaluate the association between PP and RHF in healthy young adults.

Methods

Data were retrieved from the Korea National Health and Nutrition Examination Survey from 2010 to 2019. A total of 10,365 participants aged 19–39 years with no hypertension and normal kidney function were analyzed. RHF was defined as logarithm transformed estimated glomerular filtration rate (eGFR) with residuals >90th percentile after adjustment for sex, logarithm transformed age, weight, and height. Participants were divided into tertile based on PP levels.

Results

The prevalence of RHF was higher in higher PP tertile group (6.6, 10.5, and 12.7% in T1, T2, and T3; P for trend < 0.001). In multivariable logistic regression analyses, the risk for RHF was increased in higher PP tertiles compared to the lowest tertile [odds ratio (OR), 1.42; 95% confidence interval (CI), 1.19–1.69 in T2; OR, 1.44; 95% CI, 1.20–1.73 in T3]. When PP levels were treated as continuous variable, the risk of RHF was increased 2.36 per 1.0 increase of PP (P < 0.001). In subgroup analyses stratified sex, histories of diabetes or dyslipidemia, and isolated systolic hypertension or isolated diastolic hypertension, there were no significant interactions with PP for the risk for RHF, suggesting that high PP was associated with increased risk of RHF regardless of subgroups. However, the subgroup with BMI showed significant interaction with PP for the risk of RHF, indicating that participants with BMI ≥ 25 kg/m² were at higher risk of RHF with increasing PP levels than those with BMI < 25 kg/m² (OR, 1.89; 95% CI, 1.25–2.87 in BMI < 25 kg/m²; OR, 3.16; 95% CI, 1.74–5.73 in BMI ≥ 25 kg/m²; P for interaction = 0.01).

Conclusion

High PP is associated with an increased risk of RHF in healthy young adults and this association is prominent in obese young adults. The assessment of PP and associated RHF may give benefit to early detect the potential risk of CKD development in young adults.

Association of Pulse Pressure Difference and Diabetes Mellitus in Chinese People: A Cohort Study

Purpose

Here, we sought to determine the association between pulse pressure difference and the incidence of type 2 diabetes mellitus (T2DM) in Chinese people.

Methods

This study involved 211,814 participants among whom 4156 had been diagnosed with T2DM. The correlation between pulse pressure difference and T2DM incidence in Chinese people was determined by multivariate analysis. A smooth curve fitting diagram was then used to explore correlation between pulse pressure difference and T2DM incidence. Finally, the inflection point in the correlation between pulse pressure difference and the T2DM incidence was located by piecewise linear regression.

Results

To understand the relationship, adjustments were made for sex, age, total serum cholesterol (TC), fasting blood glucose (FPG), triglyceride (TG), alanine aminotransferase (ALT), family history of diabetes, body mass index (BMI), blood urea nitrogen (BUN), drinking status, and smoking status. Diabetes incidence increased by 0.3% [HR 1.003 (1.001, 1.005), p = <0.05] for every 1mmHg increase in pulse pressure difference. Smooth curve analysis showed that, when pulse pressure difference was ≤35mmHg, diabetes incidence negatively correlated to pulse pressure difference [HR 0.972 (0.953, 0.972) p = 0.053]. However, when pulse pressure difference was >35mmHg, diabetes incidence increased with increasing pulse pressure difference [HR 1.044 (1.042, 1.047) p = <0.001]. And between pulse pressure difference and fasting blood glucose in the final visit, the blood glucose level increased with the elevation of pulse pressure.

Conclusion

The risk of diabetes was lowest at about 35mmHg pulse pressure difference.

Nighttime ambulatory pulse pressure predicts cardiovascular and all-cause mortality among middle-aged participants in the 21-year follow-up

Office pulse pressure (PP) is a predictor for cardiovascular (CV) events and mortality. Our aim was to evaluate ambulatory PP as a long‐term risk factor in a random cohort of middle‐aged participants. The Opera study took place in years 1991–1993, with a 24‐h ambulatory blood pressure measurement (ABPM) performed to 900 participants. The end‐points were non‐fatal and fatal CV events, and deaths of all‐causes. Follow‐up period, until the first event or until the end of the year 2014, was 21.1 years (mean). Of 900 participants, 22.6% died (29.6% of men/15.6% of women, p<.001). A CV event was experienced by 208 participants (23.1%), 68.3% of them were male (p<.001). High nighttime ambulatory PP predicted independently CV mortality (hazard ratio [HR] 2.60; 95% confidence interval [CI 95%] 1.08–6.31, p=.034) and all‐cause mortality in the whole population (HR 1.72; Cl 95% 1.06–2.78, p=.028). In males, both 24‐h PP and nighttime PP associated with CV mortality and all‐cause mortality (24‐h PP HR for CV mortality 2.98; CI 95% 1.11–8.04, p=.031 and all‐cause mortality HR 2.40; CI 95% 1.32–4.37, p=.004). Accordingly, nighttime PP; HR for CV mortality 3.13; CI 95% 1.14–8.56, p=.026, and for all‐cause mortality HR 2.26; CI 95% 1.29–3.96, p=.004. Cox regression analyses were adjusted by sex, CV risk factors, and appropriate ambulatory mean systolic BP. In our study, high ambulatory nighttime PP was detected as a long‐term risk factor for CV and all‐cause mortality in middle‐aged individuals.