Automated Author ProfileM., Arita
M., Arita
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Background: The CHA2DS2-VASc score has been widely used to predict stroke in patients with atrial fibrillation (AF). Recently, it was reported that the CHA2DS2-VASc score helps predict cardiovascular disease (CVD) or all-cause mortality in patients with or without AF. However, few reports have examined the association between this score and mortality in hemodialysis (HD) patients. Methods: We analyzed 557 consecutive patients who initiated HD at our facilities between February 2005 and October 2017. The CHA2DS2-VASc score was calculated at the time of initiation of HD. Patients were then categorized into three groups according to their CHA2DS2-VASc scores: 0–1 (low), 2–3 (intermediate), and 4–9 (high). Multivariate Cox proportional hazards analysis was used to assess independent risk factors for 3-year all-cause mortality. Results: During the 3-year follow-up period, 153 (27.5%) patients died (cardiovascular death: n = 88). According to multivariate analysis, serum albumin (hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.43–0.85, p = 0.003), creatinine (HR 0.91, 95% CI 0.84–0.99, p = 0.049), and CHA2DS2-VASc score (HR 1.33, 95% CI 1.20–1.46, p < 0.001) were associated with 3-year all-cause mortality. Compared with patients in the low CHA2DS2-VASc score group, those in the intermediate- and high-score groups had a higher risk for all-cause and CVD mortality (all-cause mortality: HR 1.77, 95% CI 1.23–2.55, p = 0.002 and HR 2.94, 95% CI 1.90–4.53, p < 0.001, respectively; CVD mortality: HR 1.82, 95% CI 1.27–2.59, p = 0.001 and HR 2.85, 95% CI 1.88–4.31, p < 0.001, respectively). Conclusion: The CHA2DS2-VASc score is a valuable predictor of 3-year all-cause and CVD mortality in incident HD patients.
Authors
- A., Okubo ;
- T., Doi ;
- K., Morii ;
- Y., Nishizawa ;
- K., Yamashita ;
- K., Shigemoto ;
- S., Mizuiri ;
- K., Usui ;
- M., Arita ;
- T., Naito ;
- T., Masaki
Background: The CHA2DS2-VASc score has been widely used to predict stroke in patients with atrial fibrillation (AF). Recently, it was reported that the CHA2DS2-VASc score helps predict cardiovascular disease (CVD) or all-cause mortality in patients with or without AF. However, few reports have examined the association between this score and mortality in hemodialysis (HD) patients. Methods: We analyzed 557 consecutive patients who initiated HD at our facilities between February 2005 and October 2017. The CHA2DS2-VASc score was calculated at the time of initiation of HD. Patients were then categorized into three groups according to their CHA2DS2-VASc scores: 0–1 (low), 2–3 (intermediate), and 4–9 (high). Multivariate Cox proportional hazards analysis was used to assess independent risk factors for 3-year all-cause mortality. Results: During the 3-year follow-up period, 153 (27.5%) patients died (cardiovascular death: n = 88). According to multivariate analysis, serum albumin (hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.43–0.85, p = 0.003), creatinine (HR 0.91, 95% CI 0.84–0.99, p = 0.049), and CHA2DS2-VASc score (HR 1.33, 95% CI 1.20–1.46, p < 0.001) were associated with 3-year all-cause mortality. Compared with patients in the low CHA2DS2-VASc score group, those in the intermediate- and high-score groups had a higher risk for all-cause and CVD mortality (all-cause mortality: HR 1.77, 95% CI 1.23–2.55, p = 0.002 and HR 2.94, 95% CI 1.90–4.53, p < 0.001, respectively; CVD mortality: HR 1.82, 95% CI 1.27–2.59, p = 0.001 and HR 2.85, 95% CI 1.88–4.31, p < 0.001, respectively). Conclusion: The CHA2DS2-VASc score is a valuable predictor of 3-year all-cause and CVD mortality in incident HD patients.
Authors
- A., Okubo ;
- T., Doi ;
- K., Morii ;
- Y., Nishizawa ;
- K., Yamashita ;
- K., Shigemoto ;
- S., Mizuiri ;
- K., Usui ;
- M., Arita ;
- T., Naito ;
- T., Masaki