The prevalence of atrial fibrillation amongst heart failure patients increases with age

Ziaei, Fatemeh; Zaman, Mahvash; Rasoul, Debar; Gorantla, Ramakrishna; Bhayani, Raj; Shakir, Savana; Shan, Syed Kazim Ali; Khan, Joshim; Uppal, Hardeep; Chandran, Suresh; Potluri, Rahul

doi:10.1016/j.ijcard.2016.03.198

Cited by 8 publications

(8 citation statements)

References 32 publications

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“…The most frequently recorded pre-specified event was AF, detected in 27% of patients, all subclinical. This percentage is in the range of previously reported prevalence of AF in heart failure [ 14 , 15 ]. This finding also corresponds with the conclusion of the IN-TIME trial, where atrial tachyarrhythmias most often led to unplanned patient contacts [ 5 ].…”

Section: Discussionsupporting

confidence: 76%

Telemonitoring with an implantable loop recorder in outpatient heart failure care

et al. 2018

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IntroductionIn the care of heart failure patients, telemonitoring is receiving growing attention. The main purpose of this study was to determine the effect of continuous telemonitoring with an implantable loop recorder (ILR, Reveal XT), a novel strategy in the management of stable heart failure patients without a cardiac implantable device. Furthermore, little is known about the incidence of subclinical arrhythmias in this specific group of patients.Materials and MethodsStable heart failure patients, New York Heart Association Class II and III, without recent hospitalisation or upcoming intervention, were included. After implantation of the ILR there was regular contact with the research nurse on a pre-specified basis. Clinic visits and telephonic interviews were alternated for a minimum of 1 year. Parallel visits to their treating physician continued according to standard care. The treating physician was blinded for the ILR findings, accept for pre-specified, significant arrhythmic events.ResultsThirty patients were included and followed for a median duration of 12 months. In 13 patients, data from the loop recorder led to therapeutic changes. One patient received a pacemaker. Eight patients developed atrial fibrillation, all subclinical, with a mean burden of 65.8 ± 173.2 min/day.ConclusionThe use of an ILR could potentially impact patient management. Additional study is needed in different patient populations (e. g. higher risk groups) to assess if an ILR could also impact on endpoints such as heart failure hospitalisation.

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Section: Discussionsupporting

confidence: 76%

Telemonitoring with an implantable loop recorder in outpatient heart failure care

et al. 2018

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“…The use of ICD-10 codes for the exclusion of other causes of liver dysfunction (for example, viral hepatitis) and patients with a history of alcohol consumption may have also contributed to inaccurate coding. However, such biases have been limited from our previous study looking at the association between cardiovascular and respiratory conditions [ 29 ]. There is likely to be a degree of under coding of NAFLD, especially as clinical awareness of NAFLD was not optimal at the beginning of the data capture [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

“…All available data was included. Tracing of anonymised patients was performed using the ACALM (Algorithm for Comorbidities, Associations, Length of stay and Mortality) study protocol to develop the ACALM registry and has been previously described by our group [ 24 – 29 ]. Briefly, medical records were obtained from local health authority computerized Hospital Activity Analysis register, which is routinely collected by all NHS hospitals.…”

Section: Methodsmentioning

confidence: 99%

Hospital admission with non-alcoholic fatty liver disease is associated with increased all-cause mortality independent of cardiovascular risk factors

et al. 2020

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Non-alcoholic fatty liver disease (NAFLD) is common and strongly associated with the metabolic syndrome. Though NAFLD may progress to end-stage liver disease, the top cause of mortality in NAFLD is cardiovascular disease (CVD). Most of the data on liver-related mortality in NAFLD derives from specialist liver centres. It is not clear if the higher reported mortality rates in individuals with non-cirrhotic NAFLD are entirely accounted for by complications of atherosclerosis and diabetes. Therefore, we aimed to describe the CVD burden and mortality in NAFLD when adjusting for metabolic risk factors using a ‘real world’ cohort. We performed a retrospective study of patients followed-up after an admission to non-specialist hospitals with a NAFLD-spectrum diagnosis. Non-cirrhotic NAFLD and NAFLD-cirrhosis patients were defined by ICD-10 codes. Cases were age-/sex-matched with non-NAFLD hospitalised patients. All-cause mortality over 14-years follow-up after discharge was compared between groups using Cox proportional hazard models adjusted for demographics, CVD, and metabolic syndrome components. We identified 1,802 patients with NAFLD-diagnoses: 1,091 with non-cirrhotic NAFLD and 711 with NAFLD-cirrhosis, matched to 24,737 controls. There was an increasing burden of CVD with progression of NAFLD: for congestive heart failure 3.5% control, 4.2% non-cirrhotic NAFLD, 6.6% NAFLD-cirrhosis; and for atrial fibrillation 4.7% control, 5.9% non-cirrhotic NAFLD, 12.1% NAFLD-cirrhosis. Over 14-years follow-up, crude mortality rates were 14.7% control, 13.7% non-cirrhotic NAFLD, and 40.5% NAFLD-cirrhosis. However, after adjusting for demographics, non-cirrhotic NAFLD (HR 1.3 (95% CI 1.1–1.5)) as well as NAFLD-cirrhosis (HR 3.7 (95% CI 3.0–4.5)) patients had higher mortality compared to controls. These differences remained after adjusting for CVD and metabolic syndrome components: non-cirrhotic NAFLD (HR 1.2 (95% CI 1.0–1.4)) and NAFLD-cirrhosis (HR 3.4 (95% CI 2.8–4.2)). In conclusion, from a large non-specialist registry of hospitalised patients, those with non-cirrhotic NAFLD had increased overall mortality compared to controls even after adjusting for CVD.

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“…All available data was included. Tracing of anonymised patients was performed using the ACALM (Algorithm for Comorbidities, Associations, Length of stay and Mortality) study protocol to develop the ACALM registry and has been previously described by our group[22–27]. Briefly, medical records were obtained from local health authority computerized Hospital Activity Analysis register, which is routinely collected by all NHS hospitals.…”

Section: Methodsmentioning

confidence: 99%

Hospital admission with non-alcoholic fatty liver disease is associated with increased all-cause mortality independent of cardiovascular risk factors

Mann

Carter

Armstrong

et al. 2019

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43 44 45 Abbreviations: ACALM -Algorithm for Comorbidities, Associations, Length of stay and 46 Mortality; CVcardiovascular; HRhazard ratio; ICD-10 -International Classification of 47 Abstract 53 54 Background 55Non-alcoholic fatty liver disease (NAFLD) is common and strongly associated with the 56 metabolic syndrome. Though NAFLD may progress to end-stage liver disease, the top 57 cause of mortality in NAFLD is cardiovascular disease (CVD). Most of the data on liver-58 related mortality in NAFLD derives from specialist liver centres. We aimed to assess 59 mortality in NAFLD when adjusting for CVD in a 'real world' cohort of inpatients. 60 61Methods 62Retrospective study of hospitalised patients with 14-years follow-up. NAFL (non-alcoholic 63 fatty liver), non-alcoholic steatohepatitis (NASH), and NAFLD-cirrhosis groups were defined 64 by ICD-10 codes using ACALM methodology. Cases were age-/sex-matched 1:10 with non-65

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The prevalence of atrial fibrillation amongst heart failure patients increases with age

Cited by 8 publications

References 32 publications

Telemonitoring with an implantable loop recorder in outpatient heart failure care

Telemonitoring with an implantable loop recorder in outpatient heart failure care

Hospital admission with non-alcoholic fatty liver disease is associated with increased all-cause mortality independent of cardiovascular risk factors

Hospital admission with non-alcoholic fatty liver disease is associated with increased all-cause mortality independent of cardiovascular risk factors

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