(1) Background: Cardiac amyloidosis or “stiff heart syndrome” is a rare condition that occurs when amyloid deposits occupy the heart muscle. Many patients suffer from it and fail to receive a timely diagnosis mainly because the disease is a rare form of restrictive cardiomyopathy that is difficult to diagnose, often associated with a poor prognosis. This research analyses the characteristics of this pathology and proposes a statistical learning algorithm that helps to detect the disease. (2) Methods: The hospitalization clinical (medical and nursing ones) records used for this study are the basis of the learning and training techniques of the algorithm. The approach consisted of using the information generated by the patients in each admission and discharge episode and treating it as data vectors to facilitate their aggregation. The large volume of clinical histories implied a high dimensionality of the data, and the lack of diagnosis led to a severe class imbalance caused by the low prevalence of the disease. (3) Results: Although there are few patients with amyloidosis in this study, the proposed approach demonstrates that it is possible to learn from clinical records despite the lack of data. In the validation phase, the algorithm first acted on data from the general study population. It then was applied to a sample of patients diagnosed with heart failure. The results revealed that the algorithm detects disease when data vectors profile each disease episode. (4) Conclusions: The prediction levels showed that this technique could be useful in screening processes on a specific population to detect the disease.

(1) Background: Hip fractures are highly prevalent traumatic events with significant functional consequences, particularly among the older population. These fractures are associated with increased mortality, postoperative complications, and functional dependence. Medical and nutritional factors such as malnutrition and sarcopenia are crucial for predicting functional outcomes and mortality in these patients. This study aimed to assess the nutritional status, vitamin D levels, and sarcopenia, as well as their relationship with mortality, mean hospital stay, and 30-day-readmission rate, in patients with hip fracture who underwent surgery in a rural hospital setting. (2) Methods: A longitudinal retrospective study involving 124 patients who underwent hip fracture surgery in 2021 was conducted. Sociodemographic, surgical, and nutritional data, including vitamin D, albumin, and blood urea nitrogen (BUN) levels, were collected. (3) Results: The average age of the sample was 89.1 years, with a postoperative 30-day-mortality rate of 8.1% and an average hospital stay of 10.4 days. Vitamin D deficiency was present in 79.7% of patients, and a high prevalence of malnutrition was indicated by low albumin and elevated BUN levels. Elevated BUN levels and low vitamin D levels were associated with higher mortality. (4) Conclusions: Adequate nutritional assessment in patients with hip fracture is vital for identifying the risks of complications and mortality. Understanding the current nutritional status and its associated complications will aid in developing strategies to improve health and reduce complications in the future.

The detection and prevention of addictive behaviour at an early age is essential given the relationship between the age of the onset of consumption and the appearance of addiction disorders. The aim of this study was to describe the behavior related to substance use and addictive behaviors in adolescents at secondary school from 12 to 16 years of age. A cross-sectional descriptive study has been conducted. The prevalence of consumption of different addictive substances (alcohol, tobacco, cannabis, cocaine) and addictive behaviours (use of social networks and video games) were collated, and the influence of the surrounding social environment and risk perception were evaluated. The final sample was 1298 students. Alcohol, tobacco and cannabis use reflect the prevalence of last month’s consumption: 14% (11.8–15.6), 15% (13.4–17.4) and 3% (1.9–2.7) respectively. 76% of the sample frequently use the Internet (5–7 days per week). There is a positive association between the frequency of use and use in the immediate environment. The relationships found show the need for educational and preventive intervention aimed at parents and students that will allow them to know and effectively deal with possible problems associated with the consumption of addictive substances.

(1) Background: Bariatric surgery has demonstrated the capacity to improve metabolic-associated fatty liver disease (MAFLD) in patients with morbid obesity. In addition, the Mediterranean diet contains anti-inflammatory, anti-oxidative, and anti-fibrotic components, promoting a beneficial effect on MAFLD. This study aimed to assess the improvement of MAFLD, specifically liver steatosis, in morbidly obese patients undergoing Roux-en-Y gastric bypass (RYGB) and following a hypocaloric Mediterranean-like diet. (2) Methods: A prospective observational pilot study of 20 patients undergoing RYGB was conducted. The participants underwent a magnetic resonance spectroscopy study 2 weeks before the surgical act and one year postoperatively to assess the percentage of lipid content (PLC). The adherence to the Mediterranean diet was determined by the KIDMED test 1 year after surgery. (3) Results: Mean baseline PLC was 14.2 ± 9.4%, and one year after surgery, it decreased to 4.0 ± 1.8% (p < 0.001). A total of 12 patients (60%) were within the range of moderate adherence to the Mediterranean diet, whereas 8 patients (40%) showed a high adherence. The patients with high adherence to the Mediterranean diet presented significantly lower values of postoperative PLC. (4) Conclusions: Liver steatosis significantly reduces after RYGB. This reduction is further improved when associated with a high adherence to a Mediterranean diet.

The use of certain strategies for the implementation of a specific recommendation yields better results in clinical practice. The aim of this study was to assess the effectiveness of an evidence-based model using clinical audits (GRIP model), for the implementation of recommendations in pain and urinary incontinence management as well as fall prevention, in the Spanish National Health System during the period 2015–2018. A quasi-experimental study has been conducted. The subjects were patients treated in hospitals, primary care units and nursing home centers. There were measures related to pain, fall prevention and urinary incontinence. Measurements were taken at baseline and at months 3, 6, 9, and 12. The sample consisted of 22,114 patients. The frequency of pain assessment increased from 59.9% in the first cycle to a mean of 71.6% in the last cycle, assessments of risk of falling increased from 56.8% to 87.8% in the last cycle; and finally, the frequency of assessments of urinary incontinence increased from a 43.4% in the first cycles to a mean of 62.2% in the last cycles. The implementation of specific evidence-based recommendations on pain, fall prevention, and urinary incontinence using a model based on clinical audits improved the frequency of assessments and their documentation.