| Title |
Development and validation of risk score to estimate 1-year late poststroke epilepsy risk in ischemic stroke patients
|
|---|---|
| Published in |
Clinical Epidemiology, August 2018
|
| DOI | 10.2147/clep.s168169 |
| Pubmed ID | |
| Authors |
Nai-Fang Chi, Yi-Chun Kuan, Yao-Hsien Huang, Lung Chan, Chaur-Jong Hu, Hung-Yi Liu, Hung-Yi Chiou, Li-Nien Chien |
| Abstract |
This study aimed to develop and validate a prognostic model for the 1-year risk of late poststroke epilepsy (PSE). We included patients initially diagnosed with ischemic stroke between 2003 and 2014 in a National Health Insurance claims-based cohort in Taiwan. Patients were further divided into development and validation cohorts based on their year of stroke diagnosis. Multivariable Cox regression with backward elimination was used to analyze the association between 1-year PSE and risk factors before and on stroke admission. In total, 1,684 (1.93%) and 725 (1.87%) ischemic stroke patients comprising the development and validation cohorts, respectively, experienced late PSE within 1 year after stroke. Seven clinical variables were examined to be independently associated with 1-year risk of PSE. We developed a risk score called "PSEiCARe" ranging from 0 to 16 points, comprising the following factors: prolonged hospital stay (>2 weeks, 1 point), seizure on admission (6 points), elderly patients (age ≥80 years, 1 point), intensive care unit stay on admission (3 points), cognitive impairment (dementia, 2 points), atrial fibrillation (2 points), and respiratory tract infection (pneumonia) on admission (1 point). Patients were further classified into low-, medium-, high-, and very-high-risk groups. The incidence (per 100 person-years) was 0.64 (95% CI: 0.56-0.71) for the low-risk, 2.62 (95% CI: 2.43-2.82) for the medium-risk, 10.3 (95% CI: 9.48-11.3) for the high-risk, and 28.2 (95% CI: 24.0-33.0) for the very-high-risk groups. Discrimination and calibration were satisfactory, with a Harrell's C of 0.762 in the development model and 0.792 in the validation model. PSEiCARe is an easy-to-use prognostic score that integrates patient characteristics and clinical factors on stroke admission to predict 1-year PSE risk; it has the potential to assist individualized patient management and improve clinical practice, thereby preventing the occurrence of late PSE. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 12% |
| Researcher | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Student > Postgraduate | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Other | 13 | 19% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 36% |
| Neuroscience | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 20 | 30% |
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 04 September 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Clinical Epidemiology
#732
of 793 outputs
Outputs of similar age
#299,007
of 341,886 outputs
Outputs of similar age from Clinical Epidemiology
#34
of 36 outputs
Altmetric has tracked 25,385,509 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 793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 341,886 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 36 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.