1
|
Colchado Vallejos JG, Quirós López GD, Tello Rodríguez T, Anchante Hernández H. Frailty prevalence in older adults with atrial fibrillation: A cross-sectional study in a resource-limited setting. PLoS One 2024; 19:e0312498. [PMID: 39446924 PMCID: PMC11500909 DOI: 10.1371/journal.pone.0312498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Accepted: 10/08/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND/OBJECTIVES Frailty is a common condition among older adults and is associated with an increased risk of adverse health outcomes, including mortality, disability, dysmobility, falls, and hospitalization. In patients with atrial fibrillation (AF), these risks are further exacerbated. However, evidence linking AF and frailty, particularly in the South American context, is limited. This study aimed to assess frailty and other geriatric conditions in older outpatients with atrial fibrillation in a resource-limited setting in Lima, Peru. METHODS In this cross-sectional study, we included adults aged 60 years and older diagnosed with atrial fibrillation who were attending outpatient check-ups. Patients who were hospitalized, receiving chemotherapy induction, or presenting with acute infections or exacerbations were excluded. Standardized questionnaires were used to assess frailty, cognitive impairment, and functional dependence. Statistical analysis was performed using R Studio version 4.3.1, with a significance level set at p < 0.05. RESULTS Among the 200 patients who agreed to participate (mean age 74.76 ± 8.42 years, 41% females), 28.5% exhibited frailty, and 46.5% were classified as prefrail. Frailty and prefrailty were significantly associated with older age (p<0.01), female gender (p = 0.01), illiteracy (p<0.01), heart failure (p<0.01), falls (p<0.05), cognitive impairment (p<0.01), and functional dependence (p<0.01). Multivariate analysis revealed significant associations between frailty and cognitive impairment (p<0.05), frailty and functional dependence (p<0.05), and cognitive impairment and functional dependence (p<0.05). CONCLUSIONS One-third of older outpatients with atrial fibrillation were identified as frail, while half were classified as prefrail. In this population, frailty frequently coexists with cognitive impairment and functional dependence, highlighting the need for timely screening and the implementation of evidence-based interventions for individuals with atrial fibrillation in resource-limited settings.
Collapse
Affiliation(s)
- José Guillermo Colchado Vallejos
- Instituto de Gerontología, Universidad Peruana Cayetano Heredia, Lima, Perú
- Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, Perú
| | | | - Tania Tello Rodríguez
- Instituto de Gerontología, Universidad Peruana Cayetano Heredia, Lima, Perú
- Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, Perú
- Departamento de Medicina, Hospital Nacional Cayetano Heredia, Lima, Perú
| | - Henry Anchante Hernández
- Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, Perú
- Departamento de Medicina, Hospital Nacional Cayetano Heredia, Lima, Perú
| |
Collapse
|
2
|
Chen S, Luo C, Zheng B. The causality of atrial fibrillation on frailty index: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e37948. [PMID: 39151487 PMCID: PMC11332714 DOI: 10.1097/md.0000000000037948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/14/2024] [Accepted: 03/29/2024] [Indexed: 08/19/2024] Open
Abstract
Prior epidemiological research has indicated a possible association between atrial fibrillation (AF) and frailty status. Our study used Mendelian randomization to estimate its causality. The genome-wide association studies for AF were utilized as the exposure for individuals included in the UK Biobank (n = 463,010) and publicly available summary statistics data sets of genome-wide association studies meta-analyses for frailty index in individuals of European descent (n = 175,226) was used as the outcome. The inverse variance weighting method was utilized to evaluate causality. To further confirm the reliability of the results, sensitivity analyses were conducted. The inverse variance weighting analysis indicated that the presence of AF was found to be statistically linked to an increased risk of frailty (odds ratio = 3.017, CI: 1.106-8.232, P = .031). MR-Egger intercept test indicated no pleiotropy (Egger intercept = .002, P = .808). The leave-one-out method indicated that the individual SNPs did not have an impact on the robustness of the findings. The research implies a causal relationship between AF and frailty. Early detection and timely intervention of AF can control the occurrence of frailty.
Collapse
Affiliation(s)
- Shoulei Chen
- Department of Cardiac Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Cheng Luo
- Department of Cardiac Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Baoshi Zheng
- Department of Cardiac Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| |
Collapse
|
3
|
Nakamaru R, Nishimura S, Kumamaru H, Shoji S, Nakatani E, Yamamoto H, Miyachi Y, Miyata H, Kohsaka S. Trajectories of Frailty and Clinical Outcomes in Older Adults With Atrial Fibrillation: Insights From the Shizuoka Kokuho Database. Circ Cardiovasc Qual Outcomes 2024; 17:e010642. [PMID: 39167767 DOI: 10.1161/circoutcomes.123.010642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/25/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND The increasing prevalence of frailty has gained considerable attention due to its profound influence on clinical outcomes. However, our understanding of the progression of frailty and long-term clinical outcomes in older individuals with atrial fibrillation remains scarce. METHODS Using data from 2012 to 2018 from a comprehensive claims database incorporating primary and hospital care records in Shizuoka, Japan, we selected patients aged ≥65 years with atrial fibrillation who initiated oral anticoagulant therapy. The trajectory of frailty was plotted using Sankey plots, illustrating the annual changes in their frailty according to the electronic frailty index during a 3-year follow-up after oral anticoagulant initiation, along with the incidence of clinical adverse outcomes. For deceased patients, we assessed their frailty status in the year preceding their death. RESULTS Of 6247 eligible patients (45.1% women; mean age, 79.3±8.0 years) at oral anticoagulant initiation, 7.7% were categorized as fit (electronic frailty index, 0-0.12), 30.1% as mildly frail (>0.12-0.24), 35.4% as moderately frail (>0.24-0.36), and 25.9% as severely frail (>0.36). Over the 3-year follow-up, 10.4% of initially fit patients transitioned to moderately frail or severely frail. Conversely, 12.5% of severely frail patients improved to fit or mildly frail. Death, stroke, and major bleeding occurred in 23.4%, 4.1%, and 2.2% of patients, respectively. Among the mortality cases, 74.8% (N=1183) and 3.5% (N=55) had experienced moderately or severely frail and either a stroke or major bleeding in the year preceding their death, respectively. CONCLUSIONS In a contemporary era of atrial fibrillation management, a minor fraction of older patients on oral anticoagulants died following a stroke or major bleeding. However, their frailty demonstrated a dynamic trajectory, and a substantial proportion of death was observed after transitioning to a moderately or severely frail state.
Collapse
Affiliation(s)
- Ryo Nakamaru
- Department of Healthcare Quality Assessment, The University of Tokyo, Japan (R.N., S.N., H.K., H.Y., H.M., S.K.)
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
| | - Shiori Nishimura
- Department of Healthcare Quality Assessment, The University of Tokyo, Japan (R.N., S.N., H.K., H.Y., H.M., S.K.)
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
| | - Hiraku Kumamaru
- Department of Healthcare Quality Assessment, The University of Tokyo, Japan (R.N., S.N., H.K., H.Y., H.M., S.K.)
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
| | - Satoshi Shoji
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
- Department of Cardiology (S.S., S.K.), Keio University School of Medicine, Tokyo, Japan
- Duke Clinical Research Institute, Durham, NC (S.S.)
| | - Eiji Nakatani
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
| | - Hiroyuki Yamamoto
- Department of Healthcare Quality Assessment, The University of Tokyo, Japan (R.N., S.N., H.K., H.Y., H.M., S.K.)
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
| | - Yoshiki Miyachi
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
| | - Hiroaki Miyata
- Department of Healthcare Quality Assessment, The University of Tokyo, Japan (R.N., S.N., H.K., H.Y., H.M., S.K.)
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
- Department of Health Policy and Management (H.M.), Keio University School of Medicine, Tokyo, Japan
| | - Shun Kohsaka
- Department of Healthcare Quality Assessment, The University of Tokyo, Japan (R.N., S.N., H.K., H.Y., H.M., S.K.)
- Shizuoka Graduate University of Public Health, Japan (R.N., S.N., H.K., S.S., E.N., H.Y., Y.M., H.M., S.K.)
- Department of Cardiology (S.S., S.K.), Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
4
|
Shim GY, Kim M, Won CW. Cross-sectional and longitudinal association between atrial fibrillation and sarcopenia: Findings from the Korean frailty and aging cohort study. J Cachexia Sarcopenia Muscle 2024; 15:434-441. [PMID: 38057913 PMCID: PMC10834337 DOI: 10.1002/jcsm.13401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 09/22/2023] [Accepted: 11/02/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Sarcopenia is commonly observed in patients with cardiovascular diseases. However, studies on the association between sarcopenia and atrial fibrillation and their causal relationships are limited. We performed cross-sectional and longitudinal analyses to investigate the association between sarcopenia and atrial fibrillation among community-dwelling older adults. METHODS A total of 2225 participants from the Korean Frailty and Aging Cohort Study (KFACS) from 2016 to 2017 were included in this cross-sectional analysis. Sarcopenia was defined according to the Asian Working Group for Sarcopenia 2019 consensus. Atrial fibrillation was diagnosed on the basis of electrocardiographic findings. We investigated whether atrial fibrillation increased the risk of incident sarcopenia 2 years later and whether sarcopenia, in turn, increased the 2-year risk of developing atrial fibrillation using KFACS data from 2018 to 2019. RESULTS Of the 2225 participants (54.2% women; mean age 76.0 ± 3.9 years), 509 (22.9%) had sarcopenia at baseline. In the cross-sectional analysis, sarcopenia was associated with atrial fibrillation after multivariate adjustment [odd ratio (OR), 2.127; 95% confidence interval (CI), 1.240-3.648; P = 0.006]. Among the sarcopenia components, low physical performance was associated with atrial fibrillation (OR, 1.872; 95% CI, 1.123-3.120; P = 0.016). During the 2-year follow-up period, atrial fibrillation was not associated with new-onset of sarcopenia (OR, 1.483; 95% CI, 0.597-3.685; P = 0.396), and sarcopenia also did not significantly increase the risk of incident atrial fibrillation (OR, 1.120; 95% CI, 0.384-3.264; P = 0.836). CONCLUSIONS Although we found a significant association between sarcopenia and atrial fibrillation in a cross-sectional analysis, we could not establish a causal relationship between the two based on 2 years of follow-up. Further research with long-term follow-up is required to identify causal relationship between atrial fibrillation and sarcopenia.
Collapse
Affiliation(s)
- Ga Yang Shim
- Department of Physical and Rehabilitation MedicineKyung Hee University College of Medicine, Kyung Hee University HospitalSeoulRepublic of Korea
| | - Miji Kim
- Department of Biomedical Science and Technology, College of Medicine, East‐West Medical Research InstituteKyung Hee UniversitySeoulRepublic of Korea
| | - Chang Won Won
- Department of Family Medicine, Kyung Hee University college of MedicineKyung Hee University HospitalSeoulRepublic of Korea
| |
Collapse
|
5
|
Zhang N, Jia Z, Gu T, Zheng Y, Zhang Y, Song W, Chen Z, Li G, Tse G, Liu T. Associations between modifiable risk factors and frailty: a Mendelian randomisation study. J Epidemiol Community Health 2023; 77:782-790. [PMID: 37604674 DOI: 10.1136/jech-2023-220882] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 08/08/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND Early identification of modifiable risk factors is essential for the prevention of frailty. This study aimed to explore the causal relationships between a spectrum of genetically predicted risk factors and frailty. METHODS Univariable and multivariable Mendelian randomisation (MR) analyses were performed to explore the relationships between 22 potential risk factors and frailty, using summary genome-wide association statistics. Frailty was accessed by the frailty index. RESULTS Genetic liability to coronary artery disease (CAD), type 2 diabetes mellitus (T2DM), ischaemic stroke, atrial fibrillation and regular smoking history, as well as genetically predicted 1-SD increase in body mass index, systolic blood pressure, diastolic blood pressure, low-density lipoprotein cholesterol, triglycerides, alcohol intake frequency and sleeplessness were significantly associated with increased risk of frailty (all p<0.001). In addition, there was a significant inverse association between genetically predicted college or university degree with risk of frailty (beta -0.474; 95% CI (-0.561 to -0.388); p<0.001), and a suggestive inverse association between high-density lipoprotein cholesterol level with risk of frailty (beta -0.032; 95% CI (-0.055 to -0.010); p=0.004). However, no significant causal associations were observed between coffee consumption, tea consumption, serum level of total testosterone, oestradiol, 25-hydroxyvitamin D, C reactive protein or moderate to vigorous physical activity level with frailty (all p>0.05). Results of the reverse directional MR suggested bidirectional causal associations between T2DM and CAD with frailty. CONCLUSIONS This study provided genetic evidence for the causal associations between several modifiable risk factors with lifetime frailty risk. A multidimensional approach targeting these factors may hold a promising prospect for prevention frailty.
Collapse
Affiliation(s)
- Nan Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Ziheng Jia
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Tianshu Gu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Yi Zheng
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Yunpeng Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Wenhua Song
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Ziliang Chen
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Guangping Li
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
- Kent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, Kent, UK
- School of Nursing and Health Studies, Hong Kong, Metropolitan University, Hong Kong, China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| |
Collapse
|
6
|
de Terwangne C, Maes F, Gilard I, Kefer J, Cornette P, Boland B. OLD-TAVR score to predict 2-year mortality in patients aged 75 years and more undergoing transcatheter aortic valve replacement. Eur Geriatr Med 2023:10.1007/s41999-023-00794-x. [PMID: 37165292 DOI: 10.1007/s41999-023-00794-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 04/26/2023] [Indexed: 05/12/2023]
Abstract
PURPOSE Decision-making on transcatheter aortic valve replacement (TAVR) in patients aged 75 years and older is complex. It could be facilitated by the identification of predictors of long-term mortality. This study aimed to identify predictors of 2-year mortality to develop a 2-year mortality risk score. METHODS Cohort study of consecutive patients aged ≥ 75 years who underwent TAVR after a comprehensive geriatric assessment (CGA) at our university hospital between 2012 and 2019. Predictors of 2-year mortality were determined using multivariable Cox regression. A point-based predictive model was developed based on risk factors and subsequently internally validated by fivefold cross-validation. RESULTS The 345 patients (median age 87 years, 54% women) were fit/vulnerable (32%), mildly frail (37%), or moderately/severely frail (31%). The overall 2-year mortality rate was 26%, predicted by atrial fibrillation, hemoglobin ≤ 10 g/dL, age ≥ 87 years, BMI ≤ 24, eGFR ≤ 50 ml/min, and moderate/severe frailty. The risk score (range 0-12), named OLD-TAVR score, for 2-year mortality showed good discriminative power (AUC 0.70) and remained consistent after fivefold cross-validation (cvAUC 0.69). A risk score ≥ 8 (prevalence 20%) predicted a 45% (95%CI: 34-58%) two-year mortality, with high specificity (86%) and good positive predictive power (+ LR 2.43). CONCLUSION A 2-year mortality risk score (OLD-TAVR score) for very old patients undergoing TAVR was developed based on six bio-clinical items. A score ≥ 8 identified patients in whom 2-year mortality was very high and thereby the TAVR futile. TRIAL REGISTRATION NUMBER AND DATE OF REGISTRATION Study protocol B403, 26/09/2022, retrospectively registered.
Collapse
Affiliation(s)
- Christophe de Terwangne
- Geriatric Medicine, Cliniques Universitaires Saint-Luc - Université Catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium.
| | - Frédéric Maes
- Division of Cardiology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain (UCLouvain), Brussels, Belgium
- Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Isabelle Gilard
- Geriatric Medicine, Cliniques Universitaires Saint-Luc - Université Catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Joëlle Kefer
- Division of Cardiology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain (UCLouvain), Brussels, Belgium
- Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Pascale Cornette
- Geriatric Medicine, Cliniques Universitaires Saint-Luc - Université Catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Institute of Health and Society (IRSS), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Benoit Boland
- Geriatric Medicine, Cliniques Universitaires Saint-Luc - Université Catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Institute of Health and Society (IRSS), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| |
Collapse
|