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A new way of rapidly screening for depression in multiple sclerosis using Emotional Thermometers

Published online by Cambridge University Press:  27 March 2019

Andrew G. B. Thompson
Affiliation:
Department of Neurology, University College London, London, UK
Rollo Sheldon
Affiliation:
Department of Neuropsychiatry, South West London and St George’s Mental Health NHS Trust, London, UK
Norman Poole
Affiliation:
Department of Neuropsychiatry, South West London and St George’s Mental Health NHS Trust, London, UK
Rita Varela
Affiliation:
Department of Neuropsychiatry, South West London and St George’s Mental Health NHS Trust, London, UK Department of Psychiatry, Centro Hospitalar Psiquiátrico de Lisboa, Lisboa, Portugal
Sarah White
Affiliation:
Atkinson Morley Regional Neuroscience Centre, St George’s University Hospitals NHS Foundation Trust, London, UK
Paula Jones
Affiliation:
Atkinson Morley Regional Neuroscience Centre, St George’s University Hospitals NHS Foundation Trust, London, UK
Carole Mulley
Affiliation:
Atkinson Morley Regional Neuroscience Centre, St George’s University Hospitals NHS Foundation Trust, London, UK
Amy Berg
Affiliation:
Atkinson Morley Regional Neuroscience Centre, St George’s University Hospitals NHS Foundation Trust, London, UK
Camilla R. V. Blain
Affiliation:
Atkinson Morley Regional Neuroscience Centre, St George’s University Hospitals NHS Foundation Trust, London, UK Institute of Medical & Biomedical Education, St George's University of London, London, UK
Niruj Agrawal*
Affiliation:
Department of Neuropsychiatry, South West London and St George’s Mental Health NHS Trust, London, UK Institute of Medical & Biomedical Education, St George's University of London, London, UK
*
Author for correspondence: Niruj Agrawal, South West London and St George’s Mental Health NHS Trust, London, UK. Tel: 0044 208 725 3786; Fax: 0044 208 725 2929; E-mail: [email protected]

Abstract

Objective

Depression is a common, serious, but under-recognised problem in multiple sclerosis (MS). The primary objective of this study was to assess whether a rapid visual analogue screening tool for depression could operate as a quick and reliable screening method for depression, in patients with MS.

Method

Patients attending a regional MS outpatient clinic completed the Emotional Thermometer 7 tool (ET7), the Hospital Anxiety and Depression Scale – Depression Subscale (HADS-D) and the Major Depression Inventory (MDI) to establish a Diagnostic and Statistical Manual, 4th edition (DSM-IV) diagnosis of Major Depression. Full ET7, briefer subset ET4 version and depression and distress thermometers alone were compared with HADS-D and MDI. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and receiver operating characteristic (ROC) curve were calculated to compare the performance of all the screening tools.

Results

In total, 190 patients were included. ET4 performed well as a ‘rule-out’ screening step (sensitivity 0.91, specificity 0.72, NPV 0.98, PPV 0.32). ET4 performance was comparable to HADS-D (sensitivity 0.96, specificity 0.77, NPV 0.99, PPV 0.37) without need for clinician scoring. The briefer ET4 performed as well as the full ET7.

Conclusion

ET are quick, sensitive and useful screening tools for depression in this MS population, to be complemented by further questioning or more detailed psychiatric assessment where indicated. Given that ET4 and ET7 perform equally well, we recommend the use of ET4 as it is briefer. It has the potential to be widely implemented across busy neurology clinics to assist in depression screening in this under diagnosed group.

Type
Original Article
Copyright
© Scandinavian College of Neuropsychopharmacology 2019 

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Footnotes

Andrew G. B. Thompson and Rollo Sheldon are joint first authors and have contributed equally to this work.

References

1. Sadovnick, AD, Remick, RA, Allen, J, Swartz, E, Yee, IM, Eisen, K, Farquhar, R, Hashimoto, SA, Hooge, J, Kastrukoff, LF Morrison, W (1996) Depression and multiple sclerosis. Neurology 46, 628632.Google Scholar
2. Minden, SL Schiffer, RB (1990) Affective disorders in multiple sclerosis review and recommendations for clinical research. Arch Neurol 47, 98104.Google Scholar
3. D’alisa, S, Miscio, G, Baudo, S, Simone, A, Tesio, L Mauro, A (2006) Depression is the main determinant of quality of life in multiple sclerosis: a classification-regression (CART) study. Disabil Rehabil 28, 307314.Google Scholar
4. Arnett, PA, Higginson, CI, Voss, WD, Wright, B, Bender, WI, Wurst, JM Tippin, JM (1999) Depressed mood in multiple sclerosis: relationship to capacity-demanding memory and attentional functioning. Neuropsychology 13, 434.Google Scholar
5. Mohr, DC, Goodkin, DE, Likosky, W, Gatto, N, Baumann, KA Rudick, RA (1997) Treatment of depression improves adherence to interferon beta-1b therapy for multiple sclerosis. Arch Neurol 54, 531533.Google Scholar
6. Feinstein, A (2002) An examination of suicidal intent in patients with multiple sclerosis. Neurology 59, 674678.Google Scholar
7. Marrie, RA, Horwitz, R, Cutter, G, Tyry, T, Campagnolo, D Vollmer, T (2009) The burden of mental comorbidity in multiple sclerosis: frequent, underdiagnosed, and undertreated. Mult Scler J 15, 385392.Google Scholar
8. Mitchell, AJ, Baker‐Glenn, EA, Granger, L Symonds, P (2010) Can the Distress Thermometer be improved by additional mood domains? Part I. Initial validation of the Emotion Thermometers tool. Psychooncology 19, 125133.Google Scholar
9. Mitchell, AJ, Baker‐Glenn, EA, Park, B, Granger, L Symonds, P (2010) Can the Distress Thermometer be improved by additional mood domains? Part II. What is the optimal combination of Emotion Thermometers? Psychooncology 19, 134140.Google Scholar
10. Kroenke, K, Spitzer, RL Williams, JB (2001) The PHQ‐9: validity of a brief depression severity measure. J Gen Intern Med 16, 606613.Google Scholar
11. Gunzler, DD, Perzynski, A, Morris, N, Bermel, R, Lewis, S Miller, D (2015) Disentangling multiple sclerosis and depression: an adjusted depression screening score for patient-centered care. J Behav Med 38, 237250.Google Scholar
12. Rampling, J, Mitchell, AJ, Von Oertzen, T, Docker, J, Jackson, J, Cock, H Agrawal, N (2012) Screening for depression in epilepsy clinics. A comparison of conventional and visual‐analog methods. Epilepsia 53, 17131721.Google Scholar
13. Jacobsen, PB, Donovan, KA, Trask, PC, Fleishman, SB, Zabora, J, Baker, F Holland, JC (2005) Screening for psychologic distress in ambulatory cancer patients. Cancer 103, 14941502.Google Scholar
14. Akizuki, N, Akechi, T, Nakanishi, T, Yoshikawa, E, Okamura, M, Nakano, T, Murakami, Y Uchitomi, Y (2003) Development of a brief screening interview for adjustment disorders and major depression in patients with cancer. Cancer 97, 26052613.Google Scholar
15. Roth, AJ, Kornblith, AB, Batel‐Copel, L, Peabody, E, Scher, HI Holland, JC (1998) Rapid screening for psychologic distress in men with prostate carcinoma: a pilot study. Cancer 82, 19041908.Google Scholar
16. Cuijpers, P, Dekker, J, Noteboom, A, Smits, N Peen, J (2007) Sensitivity and specificity of the Major Depression Inventory in outpatients. BMC Psychiatry 7, 39.Google Scholar
17. Bech, P, Rasmussen, NA, Olsen, LR, Noerholm, V Abildgaard, W (2001) The sensitivity and specificity of the Major Depression Inventory, using the Present State Examination as the index of diagnostic validity. J Affect Disord 66, 159164.Google Scholar
18. Zigmond, AS Snaith, RP (1983) The hospital anxiety and depression scale. Acta Psychiatr Scand 67, 361370.Google Scholar
19. Honarmand, K Feinstein, A (2009) Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients. Mult Scler J 15, 15181524.Google Scholar
20. Buderer, NM (1996) Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med 3, 895900.Google Scholar
21. Patten, SB, Fridhandler, S, Beck, CA Metz, LM (2003) Depressive symptoms in a treated multiple sclerosis cohort. Mult Scler J 9, 616620.Google Scholar
22. Patten, SB, Beck, CA, Williams, JV, Barbui, C Metz, LM (2003) Major depression in multiple sclerosis: a population-based perspective. Neurology 61, 15241527.Google Scholar
23. Chwastiak, L, Ehde, DM, Gibbons, LE, Sullivan, M, Bowen, JD Kraft, GH (2002) Depressive symptoms and severity of illness in multiple sclerosis: epidemiologic study of a large community sample. Am J Psychiatry 159, 18621868.Google Scholar
24. Gilbody, S, Sheldon, T Wessely, S (2006) Should we screen for depression? BMJ 332, 10271030.Google Scholar
25. Boeschoten, RE, Braamse, AM, Beekman, AT, Cuijpers, P, van Oppen, P, Dekker, J Uitdehaag, BM (2017) Prevalence of depression and anxiety in multiple sclerosis: a systematic review and meta-analysis. J Neurol Sci 372, 331341.Google Scholar
26. Knippenberg, S, Bol, Y, Damoiseaux, J, Hupperts, R Smolders, J (2011) Vitamin D status in patients with MS is negatively correlated with depression, but not with fatigue. Acta Neurol Scand 124, 171175.Google Scholar
27. Parker, GB, Brotchie, H Graham, RK (2017) Vitamin D and depression. Journal Affect Disord 208, 5661.Google Scholar
28. Rolf, L, Muris, AH, Bol, Y, Damoiseaux, J, Smolders, J Hupperts, R (2017) Vitamin D3 supplementation in multiple sclerosis: symptoms and biomarkers of depression. J Neurol Sci 378, 3035.Google Scholar
29. Knippenberg, S, Damoiseaux, J, Bol, Y, Hupperts, R, Taylor, BV, Ponsonby, AL, Dwyer, T, Simpson, S van der Mei, IA (2014) Higher levels of reported sun exposure, and not vitamin D status, are associated with less depressive symptoms and fatigue in multiple sclerosis. Acta Neurol Scand 129, 123131.Google Scholar
30. Silva, MC Furlanetto, TW (2015) Does serum 25-hydroxyvitamin D decrease during acute-phase response? A systematic review. Nutrition Res 35, 9196.Google Scholar
31. American Psychiatric Association (2013) Highlights of changes from DSM-IV-TR to DSM-5. Washington DC.Google Scholar
32. World Health Organisation (2013) ICD-11. Available at https://icd.who.int/ Accessed November 20, 2018.Google Scholar
33. Horwitz, AV Wakefield, JC (2007) The loss of sadness: How psychiatry transformed normal sorrow into depressive disorder. New York: Oxford University Press.Google Scholar
34. Mitchell, AJ, Ioannou, N, Rampling, JM, Sajid, A, von Oertzen, TJ, Cock, HR Agrawal, N (2013) Which symptoms are indicative of depression in epilepsy settings? An analysis of the diagnostic significance of somatic and non-somatic symptoms. J Affect Disord 150, 861867.Google Scholar
35. Kurtzke, JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 33, p1444.Google Scholar
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