The study of comboridity in patients with multiple sclerosis using validated sels-report questionnaires
https://doi.org/10.30629/2658-7947-2019-24-5-21-31
Abstract
Introduction. The long-term prognosis of multiple sclerosis (MS) is influenced by various factors, including comorbidity. The purpose of study is to investigate comorbidity in multiple sclerosis using the developed and validated specialized questionnaires.
Materials and methods. The subjects comprised two groups from the population of St. Petersburg: 885 patients with MS and 396 the control group, 154 patients provided outpatient card medical records. A specially designed self-report questionnaire included demographic, anthropometric, lifestyle data, and standard questions on comorbidities. To validate the questionnaire, extracts from individual outpatient cards were analyzed. Validation of questionnaires was performed by mean of kappa statistics. To assess the odds of the presence of comorbidity in each group, Fisher’s exact test was used.
Results. Satisfactory and high agreement of information (kappa> 0.41) revealed for arterial hypertension, ischemic heart disease, atherosclerosis, diabetes mellitus, uveitis, psoriasis, thyroid disease, bronchial asthma, migraine, and cancer. In MS patients, the prevalence of uveitis, autoimmune thyroiditis, anxiety and depression was higher, and chronic obstructive pulmonary disease and obesity prevalence was lower than in control group.
Discussion. The developed questionnaire has demonstrated high sensitivity and specificity for a number of comorbidities. The risk of comorbidities in MS patients In St. Petersburg is comparable to that in other regions of the world. Anxiety and depression are of higher risk in the subgroup of younger patients with MS, and autoimmune thyroid disorders are of higher risk in middle-aged and elderly MS patients compared with the general population.
About the Authors
N. A. NeofidovRussian Federation
Neofidov Nikolay A.
Saint-Petersburg, 197110; Saint-Petersburg, 197022.
G. S. Makshkov
Russian Federation
Saint-Petersburg, 197110; Saint-Petersburg, 197022.
O. A. Lazovskaya
Russian Federation
Saint-Petersburg, 197022.
N. A. Totolyan
Russian Federation
Saint-Petersburg, 197022.
M. V. Shumilina
Russian Federation
Saint-Petersburg, 197110; Saint-Petersburg, 197022.
E. P. Evdoshenko
Russian Federation
Saint-Petersburg, 197110.
References
1. Langer-Gould A., Popat R.A., Huang S.M., Cobb K., Fontoura P., Gould M.K., Nelson L.M. Clinical and Demographic Predictors of Long-term Disability in Patients With Relapsing-Remitting Multiple Sclerosis. Arch. Neurol. 2006;Dec;63(12):1686–91. https://doi.org/10.1001/archneur.63.12.1686
2. Marrie R.A., Rudick R., Horwitz R., Cutter G., Tyry T., Campagnolo D., and Vollmer T. Vascular comorbidity is associated with more rapid disability progression in multiple sclerosis. Neurology. 2010;Mar 30;74(13):1041–1047. https://doi.org/10.1212/WNL.0b013e3181d6b125
3. Kirby S., Brown M.G., Murray T.J., et al. Progression of multiple sclerosis in patients with other autoimmune diseases. Mult. Scler. 2005;11:S28–S29.
4. Tourbah A., Clapin A., Gout O., et al. Systemic autoimmune features and multiple sclerosis: a 5-year follow-up study. Arch. Neurol. 1998;55:517–521.
5. Marrie R.A. Comorbidity in Mulïple Sclerosis. Int. J. MS Care. 2016;Nov-Dec;18(6):271–272.
6. Valderas J.M., Starfield B., Sibbald B., Salisbury C., Roland M. Defining comorbidity: implications for understanding health and health services. Ann. Fam. Med. 2009;7(4):357–363. https://doi.org/10.1370/afm.983
7. Lash T.L., Mor V., Wieland D., Ferrucci L., Satariano W., Silliman R.A. Methodology, design, and analytic techniques to address measurement of comorbid disease. J. Gerontol. A Biol. Sci Med. Sci. 2007;Mar;62(3):281–5.
8. Myles Horton, Rudick R. A., Hara-Cleaver C., Marrie R.A. Validation of a Self-Report Comorbidity Questionnaire for Multiple Sclerosis. Neuroepidemiology 2010;35:83–90. https://doi.org/10.1159/000311013
9. Bayliss E.A., Ellis J.L., Steiner J.F. Subjective assessments of comorbidity correlate with quality of life health outcomes: initial validation of a comorbidity assessment instrument. Health Qual Life Outcomes. 2005;Sep 1;3:51. https://doi.org/10.1186/1477–7525–3–51.
10. Okura Y., Urban L.H., Mahoney D.W., Jacobsen S.J., Rodeheffer R.J. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;Oct;57(10):1096–103. https://doi.org/10.1016/j.jclinepi.2004.04.005.
11. Kriegsman D.M., Penninx B.W., van Eijk J.T., Boeke A.J., Deeg D.J. Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly.A study on the accuracy of patients’ self-reports and on determinants of inaccuracy. J Clin Epidemiol. 1996;Dec;49(12):1407–17.
12. Tisnado D.M., Adams J.L., Liu H., Damberg C.L., Chen W.P., Hu F.A., Carlisle D.M., Mangione C.M., Kahn K.L. What is the concordance between the medical record and patient self-report as data sources for ambulatory care? Med. Care. 2006;Feb;44(2):132–40.
13. Kang J.H., Chen Y.H., Lin H.C. Comorbidities amongst patients with multiple sclerosis: a population-based controlled study. Eur. J. Neurol. 2010;Sep;17(9):1215–9. https://doi.org/10.1111/j.1468–1331.2010.02971.x. Epub 2010 Feb 23.
14. Marrie R., Horwitz R,, Cutter G., Tyry T., Campagnolo D., Vollmer T. Comorbidity, socioeconomic status and multiple sclerosis. Mult Scler. 2008;Sep;14(8):1091–8. https://doi.org/10.1177/1352458508092263.
15. Landis J R., Koch G.G. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174.
16. Sim J., Wright C.C. The Kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys. Ther. 2005;85:257–268.
17. Provisional guidelines on standard international age classifications. Department of international economic and social affairs. Statistical office. United nations. 1982.
18. Katz J.N., Chang L.C., Sangha O., Fossel A.H., Bates D.W. Can comorbidity be measured by questionnaire rather than medical record review? Med. Care. 1996;34:73–84.
19. Bergmann M.M., Byers T., Freedman D.S., Mokdad A. Validity of self-reported diagnoses leading to hospitalization: a comparison of self-reports with hospital records in a prospective study of American adults. Am. J. Epidemiol. 1998;147:969–977.
20. Jadidi E., Mohammadi M., Moradi T. High risk of cardiovascular diseases after diagnosis of multiple sclerosis. Mult. Scler. 2013 Sep;19(10):1336–40. https://doi.org/10.1177/1352458513475833. Epub 2013 Jan 30.
21. Marrie R.A., Fisk J., Tremlett H., Wolfson C., Warren S., Blanchard J., Patten S. B., and for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis. Differing trends in the incidence of vascular comorbidity in MS and the general population. Neurol. Clin. Pract. 2016;Apr;6(2): 120–128. https://doi.org/10.1212/CPJ.0000000000000230
22. Barcellos L.F., Kamdar B.B., Ramsay P.P., DeLoa C., Lincoln R.R., Caillier S., Schmidt S., Haines J.L., Pericak-Vance M.A., Oksenberg J.R., Hauser S.L. Clustering of autoimmune diseases in families with a high-risk for multiple sclerosis: a descriptive study. Lancet Neurol. 2006;Nov;5(11):924–31.
23. Laroni A., Calabrese M., Perini P., Albergoni M.P., Ranzato F., Tiberio M., Battistin L., Gallo P. Multiple sclerosis and autoimmune diseases: epidemiology and HLA-DR association in North-east Italy. J Neurol. 2006;May;253(5):636–9. Epub 2006 Mar 6.
24. Deretzi G., Kountouras J., Koutlas E., Zavos C., Polyzos S., Rudolf J., Grigoriadis N., Gavalas E., Boziki M., Tsiptsios I. Familial prevalence of autoimmune disorders in multiple sclerosis in Northern Greece. Mult. Scler. 2010;Sep;16(9):1091–101. https://doi.org/10.1177/1352458510375708. Epub 2010 Jul 16.
25. Edwards L.J., Constantinescu C.S. A prospective study of conditions associated with multiple sclerosis in a cohort of 658 consecutive outpatients attending a multiple sclerosis clinic. Mult Scler. 2004;Oct;10(5):575–81.
26. Munteis E., Cano J.F., Flores J.A., Martinez-Rodriguez J.E., Miret M., Roquer J. Prevalence of autoimmune thyroid disorders in a Spanish multiple sclerosis cohort. Eur. J. Neurol. 2007;Sep;14(9):1048–52.
27. Laroni A., Calabrese M., Perini P., Albergoni M.P., Ranzato F., Tiberio M., Battistin L., Gallo P. Multiple sclerosis and autoimmune diseases: epidemiology and HLA-DR association in North-east Italy. J. Neurol. 2006;May;253(5):636–9. Epub 2006 Mar 6.
28. Shugaiv E., Tüzün E., Kürtüncü M., Kıyat-Atamer A., Çoban A., Akman-Demir G., Tugal-Tutkun I., Eraksoy M. Uveitis as a prognostic factor in multiple sclerosis. Mult Scler. 2015;Jan;21(1):105–7. https://doi.org/10.1177/1352458514539782. Epub 2014 Jun 16.
29. Goncharova Z.A., Sizyakina L.P., Belovolova R.A., Megeryan V.A. Comorbid autoimmune pathology in patients treated with disease modifying drugs. Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova. 2016;116(10): 53–60. (in Russian) https://doi.org/10.17116/jnevro201611610253–60
30. Thormann A., Koch-Henriksen N., Laursen B., Sørensen P.S., Magyari M. Inverse comorbidity in multiple sclerosis: Findings in a complete nationwide cohort. Mult. Scler. Relat. Disord. 2016;Nov;10:181–186. https://doi.org/10.1016/j.msard.2016.10.008. Epub 2016 Oct 29.
31. Khurana S.R., Bamer A.M., Turner A.P., Wadhwani R.V., Bowen J.D., Leipertz S.L., et al. The prevalence of overweight and obesity in veterans with multiple sclerosis. Am. J. Phys. Med. Rehabil. 2009;88(2):83–91.
32. Marrie R.A., Patten S., Tremlett H., Svenson L.W., Wolfson C., Yu B.N., Elliott L., Profetto-McGrath J., Warren S., Leung S., Jette N., Bhan V., Fisk J.D. Chronic lung disease and multiple sclerosis: Incidence, prevalence, and temporal trends. Mult. Scler. Relat. Disord. 2016;Jul;8:86–92. https://doi.org/10.1016/j.msard.2016.05.009. Epub 2016 May 11.
33. Siegert R.J., Abernethy D.A. Depression in multiple sclerosis: a review. Journal of Neurology, Neurosurgery & Psychiatry. 2005;76:469–475.
34. Hartoonian N., Terrill A.L., Beier M.L., Turner A.P., Day M.A., Alschuler K.N. Predictors of anxiety in multiple sclerosis. Rehabil Psychol. 2015;60(1):91–98. https://doi.org/10.1037/rep0000019
35. Alsaadi T., Hammasi K.E., Shahrour T.M., et al. Depression and anxiety as determinants of health-related quality of life in patients with multiple sclerosis — United Arab Emirates. Neurol Int. 2017;9(4):7343. Published 2017;Dec 11. https://doi.org/10.4081/ni.2017.7343
36. Larochelle C., Uphaus T., Prat A., and Zipp F. Secondary Progression in Multiple Sclerosis: Neuronal Exhaustion or Distinct Pathology? Trends Neurosci. 2016;May;39(5):325–339.
37. J.S., Pryse W.E., Phillips M., Stefanelli M., and C. Co-occurrence of autoimmune thyroid disease in a multiple sclerosis cohort. J. Autoimmune Dis. 2005;2:9. Published online 2005 Nov 9. https://doi.org/10.1186/1740–2557–2–9
38. Kreisler A., de Seze J., Stojkovic T., Delisse B., Combelles M., Vérier A., Hautecoeur P., Vermersch P. Multiple sclerosis, interferon beta and clinical thyroid dysfunction. Acta Neurol. Scand. 2003;Feb;107(2):154–7.
39. Palavra F., Marado D., Mascarenhas-Melo F., Sereno J., Teixeira-Lemos E., Nunes C.C., Gonçalves G., Teixeira F., Reis F. New markers of early cardiovascular risk in multiple sclerosis patients: oxidized-LDL correlates with clinical staging. Dis Markers. 2013;34(5):341–8. https://doi.org/10.3233/DMA-130979.
40. Tettey P., Simpson S. Jr, ,Taylor B., Blizzard L., Ponsonby A.L., Dwyer T., Kostner K., van der Mei I. An adverse lipid profile is associated with disability and progression in disability, in people with MS. Mult. Scler. 2014;Nov;20(13):1737–44. https://doi.org/10.1177/1352458514533162. Epub 2014 May 14.
41. Weinstock-Guttman B., Zivadinov R., Mahfooz N., Carl E., Drake A., Schneider J., Teter B., Hussein S., Mehta B., Weiskopf M., Durfee J., Bergsland N., Ramanathan M. Serum lipid profiles are associated with disability and MRI outcomes in multiple sclerosis. J. Neuroinflammation. 2011;Oct;4;8:127. https://doi.org/10.1186/1742–2094–8–127.
Review
For citations:
Neofidov N.A., Makshkov G.S., Lazovskaya O.A., Totolyan N.A., Shumilina M.V., Evdoshenko E.P. The study of comboridity in patients with multiple sclerosis using validated sels-report questionnaires. Russian neurological journal. 2019;24(5):21-31. (In Russ.) https://doi.org/10.30629/2658-7947-2019-24-5-21-31