scholarly journals Frailty and Anticoagulant Therapy in Patients Aged 65 Years or Older with Atrial Fibrillation

2020 ◽  
Vol 4 (3) ◽  
pp. 153-161
Author(s):  
Jiapeng Liu ◽  
Xin Du ◽  
Mengmeng Li ◽  
Zhaoxu Jia ◽  
Shangxin Lu ◽  
...  

Background: Elderly adults with atrial fibrillation (AF) are at increased risk of frailty and thromboembolic complications. However, studies on the prevalence of frailty in AF patients and data on the relationship between frailty and the use of anticoagulants are limited.Methods: We conducted a cross-sectional study involving 500 participants. Patients aged 65 years or older were consecutively selected from the Chinese Atrial Fibrillation Registry study. The patient’s frailty status was assessed with use of the Canadian Study of Health and Aging Clinical Frailty Scale. We assessed the prevalence of and factors associated with frailty, and how frailty affects anticoagulant therapy.Results: In 500 elderly adults with AF (age 75.2±6.7 years; 51.6% female), 201 patients (40.2%) were frail. The prevalence of frailty was higher in females (P=0.002) and increased with age and CHA2DS2-VASc score (P for trend less than 0.001 for both). The factors associated with frailty were a history of heart failure (odds ratio [OR] 2.40, 95% confidence interval [CI] 1.39‐4.14), female sex (OR 2.09, 95% CI 1.27‐3.43), and advanced age (OR 1.13, 95% CI 1.09‐1.17). Frail patients were significantly less likely to have ever been prescribed anticoagulants compared with nonfrail patients (81.7 vs. 54.9%, P<0.001).Conclusions: Frailty is prevalent in elderly adults with AF, especially in females, those of advanced age, and those with heart failure. Frailty status has a significant impact on prescription of anticoagulants for high-risk AF patients.

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amy Groenewegen ◽  
Victor W. Zwartkruis ◽  
Betül Cekic ◽  
Rudolf. A. de Boer ◽  
Michiel Rienstra ◽  
...  

Abstract Background Diabetes has strongly been linked to atrial fibrillation, ischaemic heart disease and heart failure. The epidemiology of these cardiovascular diseases is changing, however, due to changes in prevalence of obesity-related conditions and preventive measures. Recent population studies on incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes are needed. Methods A dynamic longitudinal cohort study was performed using primary care databases of the Julius General Practitioners’ Network. Diabetes status was determined at baseline (1 January 2014 or upon entering the cohort) and participants were followed-up for atrial fibrillation, ischaemic heart disease and heart failure until 1 February 2019. Age and sex-specific incidence and incidence rate ratios were calculated. Results Mean follow-up was 4.2 years, 12,168 patients were included in the diabetes group, and 130,143 individuals in the background group. Incidence rate ratios, adjusted for age and sex, were 1.17 (95% confidence interval 1.06–1.30) for atrial fibrillation, 1.66 (1.55–1.83) for ischaemic heart disease, and 2.36 (2.10–2.64) for heart failure. Overall, incidence rate ratios were highest in the younger age categories, converging thereafter. Conclusion There is a clear association between diabetes and incidence of the major chronic progressive heart diseases, notably with heart failure with a more than twice increased risk.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Kartas ◽  
A Samaras ◽  
D Vasdeki ◽  
G Dividis ◽  
G Fotos ◽  
...  

Abstract Background The association of heart failure (HF) with the prognosis of atrial fibrillation (AF) remains unclear. OBJECTIVES To assess all-cause mortality in patients following hospitalization with comorbid AF in relation to the presence of HF. Methods We performed a cross-sectional analysis of data from 977 patients discharged from the cardiology ward of a single tertiary center between 2015 and 2018 and followed for a median of 2 years. The association between HF and the primary endpoint of death from any cause was assessed using multivariable Cox regression. Results HF was documented in 505 (51.7%) of AF cases at discharge, including HFrEF (17.9%), HFmrEF (16.5%) and HFpEF (25.2%). A primary endpoint event occurred in 212 patients (42%) in the AF-HF group and in 86 patients (18.2%) in the AF-no HF group (adjusted hazard ratio [aHR] 2.27; 95% confidence interval [CI], 1.65 to 3.13; P&lt;0.001). HF was associated with a higher risk of the composite secondary endpoint of death from any cause, AF or HF-specific hospitalization (aHR 1.69; 95% CI 1.32 to 2.16 p&lt;0.001). The associations of HF with the primary and secondary endpoints were significant and similar for AF-HFrEF, AF-HFmrEF, AF-HFpEF. Conclusions HF was present in half of the patients discharged from the hospital with comorbid AF. The presence of HF on top of AF was independently associated with a significantly higher risk of all-cause mortality than did absence of HF, irrespective of HF subtype. Funding Acknowledgement Type of funding source: None


Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
William Beaubien-Souligny ◽  
Alan Yang ◽  
Gerald Lebovic ◽  
Ron Wald ◽  
Sean M. Bagshaw

Abstract Background Frailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors. Methods This was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models. Results Among the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3–5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11–2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03–1.13, p = 0.003). Conclusions Pre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Sze ◽  
P Pellicori ◽  
J Zhang ◽  
J Weston ◽  
A.L Clark

Abstract Background Frailty is common in patients with heart failure (HF) and is associated with increased morbidity and mortality. A better understanding of the causes of hospitalisations and death in frail patients might help to tailor interventional strategies for these at-risk patients. Purpose We studied the cause of death and hospitalisations in ambulatory patients with HF and frailty. Methods We assessed frailty using the clinical frailty scale (CFS) in consecutive HF patients attending a routine follow-up visit. Those with CFS ≥5 were classified as frail. Mortality and hospitalisations were ascertained from medical records (updated systematically using an NHS electronic database), discharge letters, autopsy reports and death certificates. We studied the primary cause of death and hospitalisations within one year of enrolment. Results 467 patients (67% male, median (IQR) age 76 (69–82) years, median (IQR) NT-proBNP 1156 (469–2463) ng/L) were enrolled. 206 (44%) patients were frail. Frail patients were more likely to not receive or receive suboptimal doses of ACEi/ARB and Beta-blockers; while non-frail patients were more likely to be treated with optimal doses. At 1-year follow up, there were 56 deaths and 322 hospitalisations, of which 46 (82%) and 215 (67%) occurred in frail patients. Frailty was associated with an increased risk of all-cause mortality (HR (95% CI): 4.27 (2.60–7.01)) and combined mortality/ hospitalisation (HR (95% CI): 2.85 (2.14–3.80)), all p&lt;0.001. 57% (n=26) of frail patients died of cardiovascular causes (of which 58% were due to HF progression); although deaths due to non-cardiovascular causes (43%, n=20), especially severe infections, were also common (26%, n=12). (Figure 1) The proportion of frail patients who had non-elective hospital admissions within 1 year was more than double that of non-frail patients (46% (n=96) vs 21% (n=54); p&lt;0.001). Compared to non-frail patients, frail patients had more recurrent (≥2) hospitalisations (28% (n=59) vs 9% (n=24); p&lt;0.001) but median (IQR) average length of hospital stay was not significantly different (frail: 6 (4–11) vs non-frail: 6 (2–12) days, p=0.50). A large proportion of hospitalisations (64%, n=137) in frail patients were due to non-cardiovascular causes (of which 34%, 30% and 20% were due to infections, falls and comorbidities respectively). Of cardiovascular hospitalisations (36%, n=78), the majority were due to decompensated HF (67%, n=46). (Figure 1) Conclusion Frailty is common in patients with HF and is associated with an increased risk of mortality and recurrent hospitalisations. A significant proportion suffered non-cardiovascular deaths and hospitalisations. This implies that interventions targeted at HF alone can only have limited impact on outcomes in frail patients. Figure 1 Funding Acknowledgement Type of funding source: None


2014 ◽  
Vol 17 (3) ◽  
pp. 705-718 ◽  
Author(s):  
Iara Guimarães Rodrigues ◽  
Gustavo Pereira Fraga ◽  
Marilisa Berti de Azevedo Barros

Purpose: The aim of the present study was to identify factors associated with the occurrence of falls among elderly adults in a population-based study (ISACamp 2008). Methods: A population-based cross-sectional study was carried out with two-stage cluster sampling. The sample was composed of 1,520 elderly adults living in the urban area of the city of Campinas, São Paulo, Brazil. The occurrence of falls was analyzed based on reports of the main accident occurred in the previous 12 months. Data on socioeconomic/demographic factors and adverse health conditions were tested for possible associations with the outcome. Prevalence ratios (PR) were estimated and adjusted for gender and age using the Poisson multiple regression analysis. Results: Falls were more frequent, after adjustment for gender and age, among female elderly participants (PR = 2.39; 95% confidence interval (95%CI) 1.47 - 3.87), elderly adults (80 years old and older) (PR = 2.50; 95%CI 1.61 - 3.88), widowed (PR = 1.74; 95%CI 1.04 - 2.89) and among elderly adults who had rheumatism/arthritis/arthrosis (PR = 1.58; 95%CI 1.00 - 2.48), osteoporosis (PR = 1.71; 95%CI 1.18 - 2.49), asthma/bronchitis/emphysema (PR = 1,73; 95%CI 1.09 - 2.74), headache (PR = 1.59; 95%CI 1.07 - 2.38), mental common disorder (PR = 1.72; 95%CI 1.12 - 2.64), dizziness (PR = 2.82; 95%CI 1.98 - 4.02), insomnia (PR = 1.75; 95%CI 1.16 - 2.65), use of multiple medications (five or more) (PR = 2.50; 95%CI 1.12 - 5.56) and use of cane/walker (PR = 2.16; 95%CI 1.19 - 3,93). Conclusion: The present study shows segments of the elderly population who are more prone to falls through the identification of factors associated with this outcome. The findings can contribute to the planning of public health policies and programs addressed to the prevention of falls.


2021 ◽  
pp. 088506662110614
Author(s):  
Mohinder R. Vindhyal ◽  
Liuqiang (Kelsey) Lu ◽  
Sagar Ranka ◽  
Prakash Acharya ◽  
Zubair Shah ◽  
...  

Purpose: Septic shock (SS) manifests with profound circulatory and cellular metabolism abnormalities and has a high in-hospital mortality (25%-50%). Congestive heart failure (CHF) patients have underlying circulatory dysfunction and compromised cardiac reserve that may place them at increased risk if they develop sepsis. Outcomes in patients with CHF who are admitted with SS have not been well studied. Materials and Method: Retrospective cross sectional secondary analysis of the Nationwide Readmission Database (NRD) for 2016 and 2017. ICD-10 codes were used to identify patients with SS during hospitalization, and then the cohort was dichotomized into those with and without an underlying diagnosis of CHF. Results: Propensity match analyses were performed to evaluate in-hospital mortality and clinical cardiovascular outcomes in the 2 groups. Cardiogenic shock patients were excluded from the study. A total of 578,629 patients with hospitalization for SS were identified, of whom 19.1% had a coexisting diagnosis of CHF. After propensity matching, 81,699 individuals were included in the comparative groups of SS with CHF and SS with no CHF. In-hospital mortality (35.28% vs 32.50%, P < .001), incidence of ischemic stroke (2.71% vs 2.53%, P = .0032), and acute kidney injury (69.9% vs 63.9%, P = .001) were significantly higher in patients with SS and CHF when compared to those with SS and no CHF. Conclusions: This study identified CHF as a strong adverse prognosticator for inpatient mortality and several major adverse clinical outcomes. Study findings suggest the need for further investigation into these findings’ mechanisms to improve outcomes in patients with SS and underlying CHF.


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Julee McDonagh ◽  
Yenna Salamonson ◽  
Roslyn Prichard ◽  
Sunita R Jha ◽  
Caleb Ferguson ◽  
...  

Introduction: Frailty assessment has become increasingly common in those with heart failure. The most frequently used frailty instrument is the Frailty Phenotype (FP). The validity of this instrument in those with heart failure is yet to be determined. Aim: To examine the convergent and discriminant validity of four frailty instruments: i) the FP ii) a Questionnaire-only version of FP [q-FP]; iii) St. Vincent’s Frailty [SVF]; and iv) the Frailty Instrument for Primary Care of the Survey of Health, Ageing and Retirement in Europe [SHARE-FI] for assessing the frailty status of adults with heart failure. Methods: Using a cross-sectional survey design, individuals aged ≥ 18 years, diagnosed with heart failure were recruited from the inpatient cardiology ward and outpatient heart failure clinic of a metropolitan academic hospital. In addition to assessing all items of the frailty instruments, other data collected included: a) NYHA classification; b) quality of life and health status using the EQ-5D-5L; c) physical status using the Australian-modified Karnofsky Performance Scale (AKPS); and d) 10-item Depression in Medically Ill (DMI) measure. Results: A total of 131 participants were recruited and included in the analyses, there were wide variations in frailty status across the four frailty instruments (Figure 1). Inter-correlations were highest between SVF and SHARE-FI instruments ( r = 0.62). The NYHA classification were correlated with SVF ( r = 0.46) and SHARE-FI ( r = 0.42). Similarly, all EQ-5D-5L dimensions were correlated with both SVF and SHARE-FI but not with FP or q-FP. The SVF differentiated between high and low AKPS scores (χ 2 = 11.70, df : 2, p = 0.003) and DMI scores (χ 2 = 7.28, df : 2, p = 0.026). Similarly, the SHARE-FI also had good discriminant validity using AKPS scores (χ 2 = 9.25, df : 2, p = 0.010) and DMI scores (χ 2 = 14.32, df : 2, p = 0.001). Conclusions: The SVF and SHARE-FI demonstrated good convergent and discriminant validity. Both instruments provide a valid alternative to the FP for the assessment of frailty in those with heart failure. Figure 1: Classification of frailty categories: FP, Questionnaire-only FP, SVF and SHARE-FI


2021 ◽  
pp. 140349482110623
Author(s):  
Vibeke Ansteinsson ◽  
Ibrahimu Mdala ◽  
Rune Becher ◽  
Liv Grøtvedt ◽  
Simen E. Kopperud ◽  
...  

Aim: We investigated factors associated with the initiation and continuation of snus use in adolescents in Norway. The associations with adolescents’ own educational plans, the parents’ educational level(s) and tobacco habits were estimated. Methods: In this cross-sectional questionnaire-based study, 1465 patients aged 18–20 years participated. The questionnaire was administered at regular dental examinations in the public dental health service. To assess the association between individual factors and the initiation of tobacco habits, a generalised structural equation model with random effects at the clinic level was used. Binary responses were modelled using multilevel binary logistic regression, while the number of snus boxes used per month was modelled using a multilevel Poisson regression model. Results: Of current (daily and occasional) tobacco users, 85% were snus users, including dual users of both snus and cigarettes. The median age of snus initiation was 16 years. Both parental snus use and smoking were associated with an increased risk of snus initiation, snus use and a higher amount of use. An increased risk of using snus was associated with male gender and with no educational plans or planning for further vocational education. The amount of snus used was higher among current snus users with a prior smoking history and among those planning for further vocational education. Conclusions: These findings may aid in developing and targeting tobacco prevention strategies aimed at young people. Tobacco prevention measures should start at the elementary school level. The strong association with parental tobacco habits underlines the importance of parents’ influence on their children’s tobacco use.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Nobutoyo Masunaga ◽  
Hisashi Ogawa ◽  
Yuya Aono ◽  
Syuhei Ikeda ◽  
KOSUKE DOI ◽  
...  

Background: Atrial fibrillation (AF) patients are likely to have concomitant coronary artery disease (CAD). A new strategy of antithrombotic therapy in AF patients with stable CAD was demonstrated in recent randomized clinical trials. Now that antithrombotic therapy for AF patients with CAD has reached a major turning point, it is important to know the prognostic factors in those patients. Purpose: In this study, we investigated clinical characteristics, cardiovascular events and prognostic factors in AF patients with CAD. Methods: The Fushimi AF Registry, a community-based prospective survey, was designed to enroll all of the AF patients who visited the participating medical institutions in Fushimi-ku, Kyoto, Japan. Follow up data including prescription status were available in 4,441 patients from March 2011 to November 2019. Of 4,441 patients, 645 patients had a history of CAD at enrollment. Results: The mean age was 76.4±8.6 and 65.9% were male. Averages of CHA 2 DS 2 -VASc score and HAS-BLED score were 4.41 and 2.35, respectively. Oral anticoagulant (OAC) was prescribed in 52.9% of those patients and antiplatelet drug (APD) was prescribed in 70.4%. The combination of OAC and APD was prescribed in 36.0%. During follow-up period (median 1,495 days), cardiac death occurred in 51 patients, composite of cardiac death, myocardial infarction (MI) and stroke in 136, and major bleeding in 77 (1.8, 5.1 and 2.9 per 100 person-years, respectively). In multivariate analysis, factors associated with composite of cardiac death, MI and stroke in AF patients with CAD were low body weight (<=50kg) (hazard ratio [95% confidence interval]; 1.62 [1.07-2.47]), previous stroke (1.69 [1.13-2.52]), heart failure (1.47 [1.02-2.11]), hypertension (0.60 [0.41-0.87]) and diabetes mellitus (1.62 [1.13-2.32]). Furthermore, factors associated with major bleeding in AF patients with CAD were anemia (male: hemoglobin<12 g/dl, female: hemoglobin<11 g/dl) (1.82 [1.09-3.04]) and thrombocytopenia (<150,000 /μL) (3.02 [1.29-7.03]). Conclusion: In Japanese AF patients with CAD, low body weight, previous stroke, heart failure, hypertension and diabetes mellitus were associated with cardiovascular events, and anemia and thrombocytopenia were associated with major bleeding.


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