Publications by authors named "Allan Flores"
Article Synopsis
- This study reviews prediction models for identifying individuals at risk of transitioning to psychosis, particularly focusing on factors that can be easily assessed in standard clinical settings.
- It identified 48 prediction models and determined that age, gender, global functioning score, trait vulnerability, and unusual thought content are key predictors for transition to psychosis.
- Four of the models were rated as having low risk of bias, indicating they may be reliable, whereas many other studies showed limitations in their design or power.
More than 500 millions of people were affected by the COVID-19 pandemic and in Peru there is an increasing the high numbers of cumulative cases; as well as the hospitalized people, where more than 20 % require mechanical ventilation. This condition with other respiratory diseases cause patients to remain connected to a mechanical ventilator until they regain the ability to perform this vital function on their own. Some prototypes with characteristics equivalent to a high-end mechanical ventilator have been developed.
View Article and Find Full Text PDFBackground: Psychotic disorders affect about 3% of the population worldwide and are associated with high personal, social and economic costs. They tend to have their first onset in adolescence. Increasing emphasis has been placed on early intervention to detect illness and minimise disability.
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