Prognostic value of blood pressure in ambulatory heart failure: a meta-analysis and systematic review. Ambulatory blood pressure predicts heart failure prognosis

Lee, Michael H.; Leda, Mariela; Buchan, Tayler A; Malik, Abdullah; Rigobon, Alanna; Liu, Helen; Daza, Julian F; O’Brien, K.; Stein, Madeleine; Hing, Nicholas Ng Fat; Siemeiniuk, Reed; Sekercioğlu, Nigar; Evaniew, Nathan; Foroutan, Farid; Ross, Heather J.; Alba, Ana Carolina

doi:10.1007/s10741-021-10086-w

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Patients with frailty have significantly lower SBP on admission compared with non-frailty patients (107.3 ± 19.8 mm Hg vs 115.7 ± 18.8 mm Hg, p = 0.007). Michael H. Lee et al in their meta-analysis show that ambulatory HF patients with higher BP have better outcomes with a reduction in 7% mortality and 9% hospitalization by 10-mmHg increase in SBP [32], which confirms the validity of the proposed novel model to predict FS in HF patients in our study. Moreover, Concetta Di Nora et al in their study debated the validity of lowering blood pressure in every case of a patient with HF [33], with the conclusion that in certain groups of patients, which include patients with HF and FS, one should avoid aggressive lowering of blood pressure is confirmed in our work.…”

Section: Discussionsupporting

confidence: 87%

A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients

Kałużna‐Oleksy

Kukfisz

Migaj

et al. 2021

JCM

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Frailty syndrome (FS) has recently attracted attention as one of the major predictors of heart failure (HF) course severity. We aimed to develop a simple tool for predicting frailty in hospitalized HF patients using routine clinical parameters. A total of 153 hospitalized patients diagnosed with heart failure with reduced ejection fraction (HFrEF) were included in the study. Presence of FS was assessed with the SHARE-FI questionnaire. Clinical and biochemical parameters were collected. Using ROC curves and logistic regression analysis, a model predicting FS presence was developed and tested. Proposed model includes five variables with following cut-off values (1 point for each variable): age > 50 years, systolic pressure on admission < 110 mmHg, total cholesterol < 4.85 mmol/L, bilirubin ≥ 15.5 mmol/L, and alanine aminotransferase ≤ 34 U/L. Receiving 5 points was considered a high risk of FS with positive and negative predictive values (NPV), 83% and 72%, respectively, and specificity of 97%. Awarding 2 points or less ruled out FS in the studied group with negative predictive value 94%. The presented novel, simple score predicts FS in HFrEF patients with routine clinical parameters and has good positive and negative predictive values.

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Section: Discussionsupporting

confidence: 87%

A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients

Kałużna‐Oleksy

Kukfisz

Migaj

et al. 2021

JCM

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“…Age, as a continuously increasing factor, tends to lead to a rise in blood pressure with age ( 25 ). The growth of the heart and the increase in cardiac output are key factors in the impact of age on blood pressure ( 42 ). As children age, their hearts gradually mature, their cardiac cavity volume increases, and their cardiac output correspondingly increases.…”

Section: Discussionmentioning

confidence: 99%

Study on the relationship between body mass index and blood pressure indices in children aged 7–17 during COVID-19

Mao,

Qian,

Xiao

et al. 2024

Front. Public Health

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BackgroundTo explore the relationship between body mass index (BMI), age, sex, and blood pressure (systolic blood pressure, SBP; diastolic blood pressure, DBP) in children during COVID-19, providing reference for the prevention and screening of hypertension in children.MethodsThis study adopted a large-scale cross-sectional design to investigate the association between BMI and blood pressure in 7-17-year-old students in City N, China, during COVID-19. Thirty-six primary and secondary schools in City N were sampled using a stratified cluster sampling method. A total of 11,433 students aged 7–17 years in City N, China, were selected for blood pressure (Diastolic blood pressure, DBP, Systolic blood pressure, SBP), height, and weight, Resting heart rate (RHR), chest circumference, measurements, and the study was written using the STROBE checklist. Data analysis was conducted using SPSS 26.0, calculating the mean and standard deviation of BMI and blood pressure for male and female students in different age groups. Regression analysis was employed to explore the impact of BMI, age, and sex on SBP and DBP, and predictive models were established. The model fit was evaluated using the model R2.ResultsThe study included 11,287 primary and secondary school students, comprising 5,649 boys and 5,638 girls. It was found that with increasing age, BMI and blood pressure of boys and girls generally increased. There were significant differences in blood pressure levels between boys and girls in different age groups. In regression models, LC, Age, BMI, and chest circumference show significant positive linear relationships with SBP and DBP in adolescents, while RHR exhibits a negative linear relationship with SBP. These factors were individually incorporated into a stratified regression model, significantly enhancing the model’s explanatory power. After including factors such as Age, Gender, and BMI, the adjusted R2 value showed a significant improvement, with Age and BMI identified as key predictive factors for SBP and DBP. The robustness and predictive accuracy of the model were further examined through K-fold cross-validation and independent sample validation methods. The validation results indicate that the model has a high accuracy and explanatory power in predicting blood pressure in children of different weight levels, especially among obese children, where the prediction accuracy is highest.ConclusionDuring COVID-19, age, sex, and BMI significantly influence blood pressure in children aged 7–17 years, and predictive models for SBP and DBP were established. This model helps predict blood pressure in children and reduce the risk of cardiovascular diseases. Confirmation of factors such as sex, age, and BMI provide a basis for personalized health plans for children, especially during large-scale infectious diseases, providing guidance for addressing health challenges and promoting the health and well-being of children.

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Apparent Treatment-Resistant Hypertension Across the Spectrum of Heart Failure Phenotypes in the Swedish HF Registry

Jackson¹,

Benson²,

Savarese³

et al. 2022

JACC: Heart Failure

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Prognostic value of blood pressure in ambulatory heart failure: a meta-analysis and systematic review. Ambulatory blood pressure predicts heart failure prognosis

Cited by 4 publications

References 26 publications

A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients

A Simple Risk Score Based on Routine Clinical Parameters Can Predict Frailty in Hospitalized Heart Failure Patients

Study on the relationship between body mass index and blood pressure indices in children aged 7–17 during COVID-19

Apparent Treatment-Resistant Hypertension Across the Spectrum of Heart Failure Phenotypes in the Swedish HF Registry

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