RESUMO
OBJECTIVE: To establish diagnostic validity and usefulness of EAT-26 for the risk assessment of Eating Disorder (ED) in a female population. DESCRIPTION: Observational validation study questionnaire. SETTING: Performed in a Medellin city community care level of mixed (public and private) psychiatric consultation. SUBJECTS: Twenty five subjects aged 15 to 25 with DSM-IV-TR diagnostic criteria for anorexia and bulimia nervosa and 111 controls without ED. MAIN OUTCOMES MEASURES: The case sample was for convenience and in controls an aleatory simple one. Gold standard (structured psychiatrist interview confirming the fulfillment of ED case inclusion criteria) was compared with EAT-26 questionnaire; reliability was assessed, cultural, semantics and factorial validation was made and the best cut-off score was established with the ROC curve. RESULTS: Four domains remain in the instrument: bulimia, dieting, food preoccupation and oral control. The Cronbach's alpha was 92.1% and a score of 11 and over is the best cut-off (sensitivity 100%, and specificity 85.6%). CONCLUSIONS: This modified and abbreviated EAT-26 questionnaire is an ideal multidimensional instrument for ED screening in risk population, with excellent reliability and sensitivity values and satisfactory specificity. EAT-26 is a useful measure to be considered when strategies for ED early detection are implemented in young women.
Assuntos
Atitude , Transtornos da Alimentação e da Ingestão de Alimentos/diagnóstico , Transtornos da Alimentação e da Ingestão de Alimentos/psicologia , Inquéritos e Questionários , Adolescente , Adulto , Colômbia , Feminino , Humanos , Reprodutibilidade dos Testes , Medição de Risco , Adulto JovemRESUMO
Telemonitoring through multiple variables measured on cardiac devices has the potential to improve the follow-up of patients with heart failure. The HeartLogic algorithm (Boston Scientific), implemented in some implantable cardiac defibrillators and cardiac resynchronisation therapy, allows monitoring of the nocturnal heart rate, respiratory movements, thoracic impedance, physical activity and the intensity of heart tones, with the aim of predicting major clinical events. Although HeartLogic has demonstrated high sensitivity for the detection of heart failure decompensations, its effects on hospitalisation and mortality in randomised clinical trials has not yet been corroborated. This review details how the HeartLogic algorithm works, compiles available evidence from clinical studies, and discusses its application in daily clinical practice.