Cardiovascular risk profile and frailty in Japanese outpatients: the Nambu Cohort Study

Matsuoka, Masao; Inoue, Taku; Shinjo, Tetsuji; Miiji, Asuka; Tamashiro, Masahiro; Oba, Kageyuki; Arima, Hisatomi; Arasaki, Osamu

doi:10.1038/s41440-020-0427-z

Cited by 17 publications

(8 citation statements)

References 34 publications

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“…Our study found that the increase in age could increase susceptibility to becoming frail, which is consistent with the findings of previous studies. Casals and colleagues [16], Matsuoka and colleagues [17], and Tavares and colleagues [18] all reported a positive association between frailty and age, explaining that this association may be due to aging processes such as hormonal changes and lowered immunity. ese processes expose elderly people to heart disease among multiple diseases, which decreases the ability of the heart to eject blood throughout the vascular system and hence leads to a decrease in blood supply to the body's systems.…”

Section: Discussionmentioning

confidence: 99%

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

Hayajneh

Alhusban

Rababa

2022

International Journal of Clinical Practice

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Background. Obesity has been reported to be associated with frailty and coronary artery disease (CAD). Objective. The present study aimed to investigate the role of the seven traditional obesity parameters body mass index (BMI), waist-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index (BAI), body shape index (BSI), waist circumference (WC), and hip circumference (HC) in the prediction of frailty among CAD patients undergoing cardiac catheterization. Design. A secondary data analysis was conducted. Setting. Three main hospitals were located at the northern and middle regions of Jordan. Participants. 220 hospitalized patients undergoing cardiac catheterization were recruited. Measurements. The traditional obesity parameters were measured using an anthropometric tape and weight scale and frailty was measured using the Tilburg Frailty Indicator (TFI). Data were analyzed using bivariate Pearson’s correlation and forward linear regression analysis. Results. Total cholesterol, HC, triglycerides, age, random blood sugar, and WC had significant positive associations with and were predictors of frailty ( p < 0.05 ). The model of the seven predictors explained 32.4% of the variance in frailty ( p = 0.02 ). Conclusion. The incidence of frailty can be predicted by the increase in total cholesterol, HC, triglycerides, age, random blood sugar, and WC. The results of this study may help healthcare providers, including nurses, to identify the factors that could lead to frailty among CAD patients undergoing cardiac catheterization.

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Section: Discussionmentioning

confidence: 99%

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

Hayajneh

Alhusban

Rababa

2022

International Journal of Clinical Practice

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“…and body weight, the greater the risk of frailty. 20 The patients in the present study were older and more likely to be frail than the other cohorts, resulting in hypertension and hypercholesterolemia being associated with a better prognosis. Because elderly AF patients have many comorbidities, both anticoagulation therapy for stroke prevention and optimal treatment of each comorbidity are required for a better prognosis in this group of patients.…”

Section: Comorbidities and Mortality Riskmentioning

confidence: 68%

Cause of Death and Associated Factors in Elderly Patients With Atrial Fibrillation　― Long-Term Retrospective Study ―

et al. 2020

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Against this background, the present study investigated differences in the clinical characteristics, prescription of OACs, incidence of death, and cause of death in elderly AF patients, and evaluated whether OACs and comorbidities are independently associated with prognosis in these patients. Methods Study Patients and Data Collection The present study was a hospital-based retrospective observational study. All patients with AF (paroxysmal or sustained) as of 2017 according to the electronic medical record (EMR) system were picked up from 1997. Cardiologists and biomedical engineers reviewed the electrocardiograms (ECGs) and medical records, and ECG-documented A trial fibrillation (AF) is a common arrhythmia in elderly patents. The prevalence and incidence rate of AF increase with age, with more than 70% of those diagnosed with AF being ≥65 years of age. 1,2 Although comorbidities increase with age, 3 elderly AF patients are likely to have a greater number of comorbidities. 2,4,5 The risk of developing embolic events is 5-fold higher in patients with AF than in those with sinus rhythm, 6 leaving patients bedridden or requiring long-term care, and increasing the mortality rate. 7 Oral anticoagulants (OACs) significantly reduce the incidence of stroke in patients with AF. Allcause mortality and causes of death among patients with AF were recently examined in both randomized control trials 8 and in cohort studies. 9-12 The real-world cohort studies demonstrated that stroke-related deaths account for approximately 5-8% of all-cause deaths, with non-cardio

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“…However, there is conflicting evidence regarding associations between cholesterol fraction concentrations and FS. Some authors showed that frailty might be associated with lower LDL blood concentrations [40,41]. On the other hand, some did not demonstrate significant differences in cholesterol fraction concentrations between patients with and without frailty [42][43][44].…”

Section: Discussionmentioning

confidence: 99%

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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Cardiovascular risk profile and frailty in Japanese outpatients: the Nambu Cohort Study

Cited by 17 publications

References 34 publications

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

Cause of Death and Associated Factors in Elderly Patients With Atrial Fibrillation　― Long-Term Retrospective Study ―

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

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Cardiovascular risk profile and frailty in Japanese outpatients: the Nambu Cohort Study

Cited by 17 publications

References 34 publications

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization

Cause of Death and Associated Factors in Elderly Patients With Atrial Fibrillation ― Long-Term Retrospective Study ―

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

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Cause of Death and Associated Factors in Elderly Patients With Atrial Fibrillation　― Long-Term Retrospective Study ―