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Risk assessment and risk prediction have become essential in the prevention of cardiovascular disease. Even though risk prediction tools are recommended in the European guidelines, they are not adequately implemented in clinical practice. Risk prediction tools are meant to estimate prognosis in an unbiased and reliable way and to provide objective information on outcome probabilities. They support informed treatment decisions about the initiation or adjustment of preventive medication. Risk prediction tools facilitate risk communication to the patient and their family, and this may increase commitment and motivation to improve their health. Over the years many risk algorithms have been developed to predict 10-year cardiovascular mortality or lifetime risk in different populations, such as in healthy individuals, patients with established cardiovascular disease and patients with diabetes mellitus. Each risk algorithm has its own limitations, so different algorithms should be used in different patient populations. Risk algorithms are made available for use in clinical practice by means of - usually interactive and online available - tools. To help the clinician to choose the right tool for the right patient, a summary of available tools is provided. When choosing a tool, physicians should consider medical history, geographical region, clinical guidelines and additional risk measures among other things. Currently, the website is the only risk prediction tool providing prediction algorithms for all patient categories, and its implementation in clinical practice is suggested/advised by the European Association of Preventive Cardiology. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this paper was produced within the framework of the ESC Prevention of Cardiovascular Disease Programme which is led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP). The ESC Prevention of Cardiovascular Disease Programme is supported by unrestricted educational grants. The authors received no financial support for the research, authorship, and/or publication of this article. Rossello, X (corresponding author), Ctr Nacl Invest Cardiovasc CNIC Carlos III, Melchor Fernandez Almagro 3, Madrid 28029, Spain. fjrossello@cnic.es

Background Patients with Heart Failure (HF) show impaired functional capacities which have been related to their prognosis. Moreover, physical functional performance in functional tests has also been related to the prognosis in patients with HF. Thus, it would be useful to investigate how physical functional performance in functional tests could determine the prognosis in patients with HF, because HF is the leading cause of hospital admissions for people older than 65 years old. This systematic review and meta-analysis aims to summarise and synthesise the evidence published about the relationship between physical functional performance and prognosis in patients with HF, as well as assess the risk of bias of included studies and the level of evidence per outcome. Methods Major electronic databases, such as PubMed, AMED, CINAHL, EMBASE, PEDro, Web of Science, were searched from inception to March 2020 for observational longitudinal cohort studies (prospective or retrospective) examining the relationship between physical functional performance and prognosis in patients with HF. Results 44 observational longitudinal cohort studies with a total of 22,598 patients with HF were included. 26 included studies reported a low risk of bias, and 17 included studies showed a moderate risk of bias. Patients with poor physical functional performance in the Six Minute Walking Test (6MWT), in the Short Physical Performance Battery (SPPB) and in the Gait Speed Test showed worse prognosis in terms of larger risk of hospitalisation or mortality than patients with good physical functional performance. However, there was a lack of homogeneity regarding which cut-off points should be used to stratify patients with poor physical functional performance from patients with good physical functional performance. Conclusion The review includes a large number of studies which show a strong relationship between physical functional performance and prognosis in patients with HF. Most of the included studies reported a low risk of bias, and GRADE criteria showed a low and a moderate level of evidence per outcome.

Background: Mobile learning (m-learning) has becoming very popular in education due to the rapidly advancing technology in our society. The potentials of the mobile applications should be used to enhance the education process. Few mobile applications have been designed to complement the study of physical therapy skills for physiotherapy students. The aim of this study was to investigate whether a mobile application, as a supplement to traditional learning, is useful for physiotherapy students in the acquisition of palpation and ultrasound skills in the shoulder area. Methods: Forty-nine students participated in this single-blinded, randomized controlled study. They were randomly distributed into two groups: experimental, with free access to the mobile application; and control, with access to traditional learning materials on the topic. Objective structured clinical evaluation (OSCE) and multiple-choice questionnaire (MCQ) were used to assess the educational intervention. Then, we also assessed the time taken to get a reliable ultrasound image and to localize a specific shoulder structure by palpation. Results: There was no significant intergroup difference in the acquisition of theoretical knowledge (p = .089). Scores were significantly higher in the experimental group than in the control group for the majority items in the ultrasound assessment; positioning of patient (p < .001), positioning of ultrasound probe (p = 0.007), handling of ultrasound probe (p = .013) and global OSCE (p < .001) and skills in palpation of the shoulder; position of patient (p = .009), direction of palpation contact (p = .021) and global OSCE (p = .034). There were no significant differences in the time required to perform the examination between groups in ultrasound (p = .944) and palpation (p = .393). The results from the post-program survey assessing the global satisfaction with the mobile application were high (8.200 ± .767), on an 11 numeric point rating scale. Conclusion: These results suggest the effectiveness of an m-learning program as a complement to traditional education for developing skills in ultrasound and palpation of the shoulder region in undergraduate physiotherapy students., The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was funded by a grant from the Educational Innovation Unit of the University of Granada, Spain (PID 13–86).