Screening four broad categories of eating disorders: suitability of a clinical algorithm adapted from the SCOFF questionnaire.
Algorithm
Eating disorders
General practice
SCOFF questionnaire
Screening
Journal
BMC psychiatry
ISSN: 1471-244X
Titre abrégé: BMC Psychiatry
Pays: England
ID NLM: 100968559
Informations de publication
Date de publication:
21 11 2019
21 11 2019
Historique:
received:
06
02
2019
accepted:
23
10
2019
entrez:
23
11
2019
pubmed:
23
11
2019
medline:
10
6
2020
Statut:
epublish
Résumé
We evaluated the performance of a clinical algorithm (Expali™), combining two or more positive answers to SCOFF questionnaire with Body Mass Index (BMI), to identify four Broad Categories of eating disorders (ED) derived from DSM-5. The clinical algorithm (Expali™) was developed from 104 combinations of BMI levels and answers to five SCOFF questions with at least two positive answers. Two senior ED physicians allocated each combination to one of the four Broad Categories of ED derived from DSM-5: restrictive disorder, bulimic disorder, hyperphagic disorder and other unspecified ED diagnosed by ED clinicians. The performance of Expali™ was evaluated on data from 206 patients with ED. Sensitivity, specificity values and Youden index were calculated for each category. The 206 patients were diagnosed as follows: 31.5% restrictive disorder, 18.9% bulimic disorder, 40.8% hyperphagic disorder and 8.8% other ED. The sensitivity of Expali™ for restrictive, bulimic, hyperphagic and other unspecified ED were respectively: 76.9, 69.2, 79.7 and 16.7%. The Youden index was respectively 0.73, 0.57, 0.67 and 0.07. In a SCOFF-positive ED population (at least two positive answers), the clinical algorithm Expali™ demonstrated good suitability by correctly classifying three of the four Broad Categories of eating disorders (restrictive, bulimic and hyperphagic disorder). It could be useful both to healthcare professionals and the general population to enable earlier detection and treatment of ED and to improve patient outcomes.
Sections du résumé
BACKGROUND
We evaluated the performance of a clinical algorithm (Expali™), combining two or more positive answers to SCOFF questionnaire with Body Mass Index (BMI), to identify four Broad Categories of eating disorders (ED) derived from DSM-5.
METHODS
The clinical algorithm (Expali™) was developed from 104 combinations of BMI levels and answers to five SCOFF questions with at least two positive answers. Two senior ED physicians allocated each combination to one of the four Broad Categories of ED derived from DSM-5: restrictive disorder, bulimic disorder, hyperphagic disorder and other unspecified ED diagnosed by ED clinicians. The performance of Expali™ was evaluated on data from 206 patients with ED. Sensitivity, specificity values and Youden index were calculated for each category.
RESULTS
The 206 patients were diagnosed as follows: 31.5% restrictive disorder, 18.9% bulimic disorder, 40.8% hyperphagic disorder and 8.8% other ED. The sensitivity of Expali™ for restrictive, bulimic, hyperphagic and other unspecified ED were respectively: 76.9, 69.2, 79.7 and 16.7%. The Youden index was respectively 0.73, 0.57, 0.67 and 0.07.
CONCLUSIONS
In a SCOFF-positive ED population (at least two positive answers), the clinical algorithm Expali™ demonstrated good suitability by correctly classifying three of the four Broad Categories of eating disorders (restrictive, bulimic and hyperphagic disorder). It could be useful both to healthcare professionals and the general population to enable earlier detection and treatment of ED and to improve patient outcomes.
Identifiants
pubmed: 31752796
doi: 10.1186/s12888-019-2338-6
pii: 10.1186/s12888-019-2338-6
pmc: PMC6868823
doi:
Types de publication
Clinical Trial
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
366Références
Int J Eat Disord. 2013 Jul;46(5):529-32
pubmed: 23658106
Eat Disord. 2012;20(1):1-13
pubmed: 22188056
Clin Psychol Rev. 2005 Nov;25(7):895-916
pubmed: 16099563
Int J Eat Disord. 2009 Jul;42(5):453-8
pubmed: 19115367
BMJ. 1999 Dec 4;319(7223):1467-8
pubmed: 10582927
Int J Eat Disord. 2010 Nov 1;43(7):633-47
pubmed: 19806607
Eat Behav. 2017 Apr;25:74-80
pubmed: 27090854
Curr Psychiatry Rep. 2015 Mar;17(3):552
pubmed: 25652251
Int J Behav Nutr Phys Act. 2015 Apr 01;12:45
pubmed: 25890337
Span J Psychol. 2013;16:E92
pubmed: 24230955
World J Biol Psychiatry. 2010 Oct;11(7):888-93
pubmed: 20509759
Int J Eat Disord. 2014 Sep;47(6):610-9
pubmed: 24903034
Postgrad Med. 2014 Sep;126(5):52-63
pubmed: 25295650
Eat Disord. 2010 Jan-Feb;18(1):1-9
pubmed: 20390604
Int J Environ Res Public Health. 2012 Aug;9(8):2728-41
pubmed: 23066393
Int J Eat Disord. 2014 Jan;47(1):65-75
pubmed: 24038385
Postgrad Med. 2016;128(3):311-6
pubmed: 26906042
Fam Pract. 2013 Aug;30(4):459-65
pubmed: 23603747
Biol Psychiatry. 2013 May 1;73(9):904-14
pubmed: 23290497
Am J Clin Nutr. 2019 May 1;109(5):1402-1413
pubmed: 31051507
J Nutr Educ Behav. 2015 Sep-Oct;47(5):412-20.e1
pubmed: 26363936
Int J Eat Disord. 2013 Jan;46(1):60-5
pubmed: 22815201
Mayo Clin Proc. 2010 Aug;85(8):746-51
pubmed: 20605951
J Am Coll Health. 2011;59(8):700-7
pubmed: 21950250
PLoS One. 2019 Feb 22;14(2):e0212612
pubmed: 30794659
Am J Clin Nutr. 2019 Jan 1;109(1):117-126
pubmed: 30596882
Int J Eat Disord. 2014 Jul;47(5):524-33
pubmed: 24616045
Eat Weight Disord. 2016 Sep;21(3):365-381
pubmed: 27043947
Int J Eat Disord. 2010 Mar;43(2):130-8
pubmed: 19308996
Eat Behav. 2017 Apr;25:68-73
pubmed: 27117825
J Eat Disord. 2015 Mar 31;3:11
pubmed: 25834735
Int J Eat Disord. 2011 Nov;44(7):625-9
pubmed: 21997426
Biol Psychiatry. 2007 Feb 1;61(3):348-58
pubmed: 16815322
Int J Eat Disord. 2007 Jul;40(5):399-408
pubmed: 17497708
Clin Psychol Rev. 2011 Jul;31(5):727-35
pubmed: 21501580
Curr Opin Psychiatry. 2013 Nov;26(6):543-8
pubmed: 24060914
Int J Eat Disord. 2009 Dec;42(8):754-64
pubmed: 19650083
Behav Res Ther. 2011 Jun;49(6-7):373-8
pubmed: 21492829
J Med Internet Res. 2008 Nov 17;10(4):e42
pubmed: 19017584