Background The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient’s age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score. Results The median age in the sample of 7487 consecutive patients was 84 years (IQR 81–87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p < 0.001). The relationship between the CFS score and mortality was nonlinear (p < 0.01). Conclusion Knowledge about a patient’s frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided. Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2)

Speech Technology Group Telefhica Investigaci6n y Desarrolio, S.A. Unipersonal 28043 -Madrid (Spain)In this paper we present a new speech rate classifier (SRC)which is directly baseld on the dynamic coefficients of the feature vectors and it is suitable to be used in real time. We also report the study that has been carried out to determine what parameters of speech are the best regarding the speech rate classification problem. In this study we analyse the correlation between several speech parameters and the average speech rate of the utterance. Finally, we report a compensation technique, which is used together with the SRC. This technique provides with a word error rate (WER) reduction of a 64.1% for slow speech rate and a 32% reduction of the average WER.

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<p>En el proyecto “Co-innovación para el desarrollo de la ganadería familiar en la región de Sierra del Este”, se caracterizó el sistema de innovación regional. Se realizaron entrevistas a informantes calificados y mapeos de actores con las tres organizaciones de productores (OP) integradas al proyecto. Los principales actores del sistema de innovación son el INIA Treinta y Tres, el Instituto Plan Agropecuario y las OP involucradas, la SFR&amp;I de Maldonado, la SR Garzón y la AFR Las Cañas. Los agentes de la investigación (INIA y Fagro-UdelaR) presentan poco vínculo con las OP. Los dispositivos para captar demandas desde los productores no funcionan adecuadamente. Desde la producción no aparece claro la presencia de interlocutores organizados, que interactúen con el sistema. Es necesario mejorar los niveles de capital social de las OP y su capacidad de participación en estructuras de decisión. La Mesa de Desarrollo Rural puede jugar un papel importante.</p>

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