| Literature DB >> 32374778 |
Marco Piccininni, Jessica L Rohmann, Dörte Huscher, Nina Mielke, Natalie Ebert, Giancarlo Logroscino, Elke Schäffner, Tobias Kurth.
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0231097.].Entities:
Year: 2020 PMID: 32374778 PMCID: PMC7202620 DOI: 10.1371/journal.pone.0233051
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Risk scores: measures of validity.
| Risk score | Predicted number of fatal cardiovascular events | Actual number of fatal cardiovascular events | Predicted/ Actual ratio | Nam-D’Agostino chi-square | C-index |
|---|---|---|---|---|---|
| 0.79 | |||||
| SCORE OP-H 5y | 302 | 142 | 2.13 | 139.16 | |
| SCORE OP-H | 677 | 399 | 1.70 | 327.9 | |
| 0.80 | |||||
| SCORE OP-L 5y | 215 | 142 | 1.51 | 39.68 | |
| SCORE OP-L | 519 | 397 | 1.31 | 76.29 | |
| 372 | 382 | 0.97 | 29.68 | 0.72 | |
| 258 | 384 | 0.67 | 117.63 | 0.72 |
aSCORE OP[22] and SCORE[13] systems have been previously described elsewhere. H and L indicate high- and low- cardiovascular risk regions. 5y indicates 5-year risk equations. All other scores listed are 10-year versions.
bWeibull regression model projections beyond the observed follow-up are reported for 10-year risk scores, leading to small differences in the number of actual events. 5-year risk scores use observed Berlin Initiative Study data only using the Kaplan-Meier estimator.
cRisk score discrimination capability was assessed using the entire observed follow-up data.