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Attention Score in Context
| Title |
Atrial time and voltage dispersion are both needed to predict new-onset atrial fibrillation in ischemic stroke patients
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, July 2017
|
| DOI | 10.1186/s12872-017-0631-1 |
| Pubmed ID | |
| Authors |
Daniel Cortez, Maria Baturova, Arne Lindgren, Jonas Carlson, Yuri V. Shubik, Bertil Olsson, Pyotr G. Platonov |
| Abstract |
Atrial fibrillation (AF) is a known risk factor for ischemic stroke. Electrocardiographic predictors of AF in population studies such as the Framingham Heart Study, as well as in hypertensive patients have demonstrated a predictive value of the P-wave duration for development of AF. QRS vector magnitude has had a predictive value in ventricular arrhythmia development. We aimed to assess the value of the three-dimensional P-wave vector magnitude and its relationship to P-wave duration for prediction of new-onset AF after ischemic stroke. First-ever ischemic stroke patients without AF at inclusion in the Lund Stroke Register were included. Measurements of P wave duration (Pd), QRS duration, corrected QT interval, and PQ interval were performed automatically using the University of Glasgow 12-lead ECG analysis algorithm. The P-wave vector magnitude (Pvm) was calculated automatically as the square root of the sum of the squared P-wave magnitudes in leads V6, II and one half of the P-wave amplitude in V2 ([Formula: see text]), based on the P-wave magnitude (Pvm) as defined by the visually transformed Kors' Quasi-orthogonal method. The median age was 73 (IQR 63-80) years at stroke onset (135 males, 92 females). Multivariate predictors of new-onset atrial fibrillation included age > 65 years, hypertension, and Pd/Pvm. A cut-off value of 870 ms/mV gave sensitivity, specificity, positive and negative predictive values of 51, 79, 30 and 87%, respectively. The Pd/Pvm was the only ECG predictor of AF with a significant multivariate hazard ratio of 2.02 (95% CI 1.18 to 3.46, p = 0.010). P-wave dispersion as measured by the Pd/Pvm was the only ECG parameter measured which independently predicted subsequent AF identification in a cohort of stroke patients. Further prospective studies in larger cohorts are needed to validate its clinical usefulness. |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 12 | 23% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 40% |
| Neuroscience | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 19 | 36% |
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 27 July 2017.
All research outputs
#21,623,829
of 24,135,931 outputs
Outputs from BMC Cardiovascular Disorders
#1,459
of 1,777 outputs
Outputs of similar age
#280,659
of 319,867 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#41
of 51 outputs
Altmetric has tracked 24,135,931 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 1,777 research outputs from this source. They receive a mean Attention Score of 3.9. 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 319,867 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 51 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.