Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals... Show moreAims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe. Show less
Olthof, M.; Lier, E. van; Claessen, T.; Danielsen, S.; Haude, K.; Lehmann, N.; ... ; Wolvengrey, A. 2020
Although some characteristics of incorporating verbs and non-incorporating verbs have been proposed in previous studies, little systematic cross-linguistic research has been done on restrictions on... Show moreAlthough some characteristics of incorporating verbs and non-incorporating verbs have been proposed in previous studies, little systematic cross-linguistic research has been done on restrictions on the types of verbs that incorporate nouns. Knowledge about possible verb-based restrictions on noun incorporation may, however, provide important insights for theoretical approaches to noun incorporation, in particular regarding the question to what extent incorporation is a lexical or a syntactic process, and whether and how languages may vary in this respect. This paper therefore investigates to what extent languages restrict noun incorporation to particular verbs and what types of restrictions appear to be relevant cross-linguistically. The study consists of two parts: an explorative typological survey based on descriptive sources of 50 incorporating languages, and a more detailed investigation of incorporating verbs in corpus data from a sample of eight languages, guided by a questionnaire. The results demonstrate that noun incorporation is indeed restricted in terms of which verbs allow this construction within and across languages. The likelihood that a verb can incorporate is partly determined by its degree of morphosyntactic transitivity, but the attested variation across verbs and across languages shows that purely lexical restrictions play an important role as well. Show less
