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Mendeley readers
Attention Score in Context
| Title |
Factors Predicting Arrhythmia-Related Symptoms and Health-Related Quality of Life in Patients Referred for Radiofrequency Ablation of Atrial Fibrillation An Observational Study (the SMURF Study)
|
|---|---|
| Published in |
JACC: Clinical Electrophysiology, March 2017
|
| DOI | 10.1016/j.jacep.2016.12.004 |
| Pubmed ID | |
| Authors |
Emmanouil Charitakis, Neshro Barmano, Ulla Walfridsson, Håkan Walfridsson |
| Abstract |
The purpose of this study was to correlate the arrhythmia-related symptoms and health-related quality of life (HRQoL) in patients with atrial fibrillation (AF) who are eligible for radiofrequency ablation (RFA) with a number of objective indicators. Although the clinical consequences of AF have been studied extensively, the variation in the symptoms of patients with AF and HRQoL remains under-researched. We studied 192 patients eligible for RFA of AF referred to the University Hospital, Linköping, Sweden, between January 2012 and April 2014. The ASTA (Arrhythmia-Specific questionnaire in Tachycardia and Arrhythmia) symptom scale was used to assess arrhythmia-related symptoms in the patients. The ASTA HRQoL scale and the short-form 36 (SF-36) physical and mental components summaries (PCS and MCS) were used to express disease-specific and overall HRQoL of the patients, respectively. Anxiety, low-grade inflammation, and left atrial dilatation significantly predicted arrhythmia-related symptoms (R2 = 0.313; p < 0.001). Depression was the most important predictor of arrhythmia-specific HRQoL (standardized beta: 0 .406), and the produced model explained a significant proportion of the variation in arrhythmia-specific HRQoL (R2 = 0.513; p < 0.001). The most important predictor of PCS was obesity (body mass index >30 kg/m2) (standardized beta: -0.301), whereas the most important predictor of MCS was anxiety (standardized beta: -0.437). Anxiety, depression, and low-grade inflammation were the factors that predicted both arrhythmia-related symptoms and HRQoL in patients with AF. Obesity was the most significant predictor of patient general physical status. These factors need to be addressed in patients with AF to improve management of their disease. Intensive risk factor modification can be of great importance. (Reasons for Variations in Health Related Quality of Life and Symptom Burden in Patients With Atrial Fibrillation [SMURF]; NCT01553045). |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 13% |
| Researcher | 7 | 11% |
| Other | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 24 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 28% |
| Nursing and Health Professions | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 26 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 May 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from JACC: Clinical Electrophysiology
#1,517
of 1,554 outputs
Outputs of similar age
#285,015
of 324,443 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#35
of 35 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.