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Long-Term Visit-to-Visit Mean Arterial Pressure Variability and the Risk of Heart Failure and All-Cause Mortality.

ABSTRACT: Background: Systolic or diastolic blood pressure (BP) variability is associated with an increased risk of cardiovascular events. We assessed whether BP variability measured by mean arterial pressure (MAP) was associated with increased risk of heart failure (HF) and death in individuals with or without hypertension. Methods: We evaluated 9,305 Atherosclerosis Risk in Communities (ARIC) study participants with or without hypertension and calculated BP variability based on MAP values from visit 1 to 4 [expressed as standard deviation (SD), average real variability (ARV), coefficient of variation (CV), and variability independent of the mean (VIM)]. Multivariate-adjusted Cox regression model and restricted cubic spline curve were used to evaluate the associations of MAP variability with all-cause mortality and HF. Results: During a median follow-up of 16.8 years, 1,511 had an HF event and 2,903 died. Individuals in the highest quartile of VIM were both associated with a 21% higher risk of all-cause mortality [hazard ratio (HR), 1.21; 95% CI, 1.09-1.35] and HF (HR, 1.21; 95% CI, 1.04-1.39) compared with the lowest quartile of VIM. Cubic spline curves reveal that the risk of deaths and HF increased with MAP variability when it reached a higher level. Results were similar in individuals with normotension (all-cause mortality: HR, 1.30; 95% CI, 1.09-1.55; HF, HR, 1.49; 95% CI, 1.12-1.98). Conclusions: In individuals with or without hypertension, greater visit-to-visit MAP variability was associated with a higher risk of all-cause mortality and HF, indicating that the BP variability assessed by MAP might be a potential risk factor for HF and death.

SUBMITTER: Liu M

PROVIDER: S-EPMC8211989 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIt is commonly observed that a higher target of mean arterial pressure (MAP) is in previous studies. This study assessed the association of MAP with short-term mortality in heart failure (HF) patients.MethodsA retrospective cohort study was conducted by using data from Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome database (v1.2 ). The characteristic of patients was described by 3 groups of MAP: below 80 mmHg, 80-100 mmHg, and above 100 mmHg. Univariate and multivariate logistic regression analyses were used to assess the relevance between MAP and all-cause mortality within 28 days and 6 months. For assessing the effect of multiple variables on patient survival time, 28-day and 6-month, Kaplan-Meier survival analysis and Forest plot were performed.ResultsThe overall cohort comprised 2008 patients divided by MAP into 3 groups, each group had 344 (17.1%), 938 (46.7%), and 726 (36.2%) patients. Patients in MAP < 80 mmHg group had higher mortality than MAP 80-100 mmHg and MAP ≥ 100 mmHg in 28 days(3.8% versus 1.6% versus 1.2%) and in 6 months (4.9% versus 2.5% versus 2.3%). Univariate analysis showed that MAP as a continuous variate was associated with 28-day (OR was 0.98, 95% CIs: 0.96-0.99, P = 0.011) and 6-month mortality (OR was 0.98, 95% CIs: 0.97-1, P = 0.021) in HF patients. Model 4 put into multivariate logistic regression analyses showed MAP 80-100 mmHg (OR was 0.13, 95% CIs: 0.02-0.8, P = 0.027) stably associated with 28-day and 6-month mortality after adjusted covariable. Kaplan-Meier survival curves revealed a higher survival rate in the MAP ≥ 80 mmHg group than in the MAP < 80 mmHg group. The forest plot showed the stable effect of MAP ≥ 80 mmHg compared with MAP < 80 mmHg, the interaction analysis had no statistical significance effect between the two groups of MAP and multi-variable.ConclusionIt is indicated that MAP was independently associated with 28-day, 6-month all-cause mortality of HF patients, and compared with MAP < 80 mmHg, MAP ≥ 80 mmHg had a lower risk of 28-day, 6-month all-cause mortality of patients with HF.

Project description:BackgroundIncreased or decreased blood pressure variability may affect the perfusion of tissues and organs, leading to acute kidney injury and death. This study was conducted to explore the relationship between mean arterial pressure variability and short- and long-term mortality in critically ill patients.MethodsWe used patient data from the MIMIC-III database for cohort study. According to the recorded mean arterial pressure during the first 24 h in the intensive care unit, we calculated each patient's two variability parameters -coefficient of variation and average real variability. The primary outcome was in-hospital mortality and the secondary outcomes were 28-day mortality and 1-year mortality. We conducted smooth spline models to examine the possible nonlinear associations between blood pressure variability and mortality. According to the smoothing curve, we further developed a two-piecewise linear regression model to find out the threshold effect. Multivariable logistic regression or Cox proportional hazards model was used to evaluate the relationship. Kaplan-Meier survival analysis for 28-day and 1-year mortality was performed. Subgroup analysis explored the factors modifying the relationship between them.ResultsA total of 12,867 patients were enrolled in the study, 1,320 in-hospital death, 1,399 28-day death, and 2,734 1-year death occurred. The smooth spline showed death risk was the lowest when average real variability was around 7.2 mmHg. After adjusting for covariates, logistic or Cox regression showed the highest MAP variability level was strongly associated with increased mortality in the hospital (odds ratio: 1.44; 95% CI, 1.21∼1.72), at 28 days (hazard ratio: 1.28; 95% CI, 1.1∼1.5), and at 1 year (hazard ratio: 1.27; 95% CI, 1.14∼1.42) compared with the second level of average real variability group. The survival curve plot showed patients with higher average real variability had a higher risk of 28-day and 1-year mortality. This relationship remained remarkable in patients with low or high Sequential Organ Failure Assessment scores in the sensitivity analysis. The two-piecewise linear regression model showed that lower ARV was a risk factor for 28-day (HR 0.72, 95% CI, 0.57∼0.91) and 1-year mortality (HR 0.81, 95% CI, 0.68∼0.96) when ARV was less than 7.2 mmHg, higher ARV was a risk factor for 28-day mortality (HR 1.1, 95% CI, 1.04∼1.17) and 1-year mortality (HR 1.07, 95% CI, 1.02∼1.12) when ARV was greater than 7.2 mmHg.ConclusionBlood pressure variability predicts mortality in critically ill patients. Individuals with higher or lower mean arterial pressure average real variability during the first day in ICU may have an increased risk of death.

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Long-Term Visit-to-Visit Mean Arterial Pressure Variability and the Risk of Heart Failure and All-Cause Mortality.

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