Which clinical and biochemical predictors should be used to screen for diabetes in patients with serious mental illness receiving antipsychotic medication? A large observational study

We aimed to investigate which clinical and metabolic tests offer optimal accuracy and acceptability to help diagnose diabetes among a large sample of people with serious mental illness in receipt of antipsychotic medication. A prospective observational study design of biochemical and clinical factor...

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Veröffentlicht in:	PloS one 2019-09, Vol.14 (9), p.e0210674
Hauptverfasser:	Mitchell, Alex J, Vancampfort, Davy, Manu, Peter, Correll, Christoph U, Wampers, Martien, van Winkel, Ruud, Yu, Weiping, De Hert, Marc
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Antipsychotic agents Antipsychotic Agents - adverse effects Antipsychotic Agents - therapeutic use Antipsychotics Biochemistry Biology and life sciences Biomarkers Criteria Diabetes Diabetes mellitus Diabetes Mellitus - diagnosis Diabetes Mellitus - epidemiology Diabetes Mellitus - etiology Diabetes Mellitus - metabolism Diabetics Diagnosis Drug therapy Drugs Fasting Female Glucose Glucose - metabolism Glucose tolerance Glucose tolerance test Glycosylated hemoglobin Health Health risks Health screening Hemoglobin Hemoglobins Hip Hospital patients Humans Insulin Insulin resistance Laboratory testing Lipids Male Medical diagnosis Medicine and Health Sciences Mental disorders Mental Disorders - complications Mental Disorders - drug therapy Mental health Mentally ill persons Middle Aged Mortality Observational studies Phenotype Prevalence Prospective Studies Psychotropic drugs Reproducibility of Results Risk Risk assessment Risk factors ROC Curve Sensitivity and Specificity Systematic review Type 2 diabetes
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