Development and external validation of multivariable risk models to predict incident and resolved neuropathic pain: a DOLORisk Dundee study.

DOLORisk Epidemiology Neuropathic pain Prediction model Risk factors Scotland Validation

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 28 04 2022
accepted: 04 11 2022
revised: 03 11 2022
pubmed: 11 11 2022
medline: 2 2 2023
entrez: 10 11 2022
Statut: ppublish

Résumé

Neuropathic pain is difficult to treat, and an understanding of the risk factors for its onset and resolution is warranted. This study aimed to develop and externally validate two clinical risk models to predict onset and resolution of chronic neuropathic pain. Participants of Generation Scotland: Scottish Family Health Study (GS; general Scottish population; n = 20,221) and Genetic of Diabetes Audit and Research in Tayside Scotland (GoDARTS; n = 5236) were sent a questionnaire on neuropathic pain and followed- -up 18 months later. Chronic neuropathic pain was defined using DN4 scores (≥ 3/7) and pain for 3 months or more. The models were developed in GS using logistic regression with backward elimination based on the Akaike information criterion. External validation was conducted in GoDARTS and assessed model discrimination (ROC and Precision-Recall curves), calibration and clinical utility (decision curve analysis [DCA]). Analysis revealed incidences of neuropathic pain onset (6.0% in GS [236/3903] and 10.7% in GoDARTS [61/571]) and resolution (42.6% in GS [230/540] and 23.7% in GoDARTS [56/236]). Psychosocial and lifestyle factors were included in both onset and resolved prediction models. In GoDARTS, these models showed adequate discrimination (ROC = 0.636 and 0.699), but there was evidence of miscalibration (Intercept = - 0.511 and - 0.424; slope = 0.623 and 0.999). The DCA indicated that the models would provide clinical benefit over a range of possible risk thresholds. To our knowledge, these are the first externally validated risk models for neuropathic pain. The findings are of interest to patients and clinicians in the community, who may take preventative or remedial measures.

Identifiants

pubmed: 36355188
doi: 10.1007/s00415-022-11478-0
pii: 10.1007/s00415-022-11478-0
pmc: PMC9886655
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1076-1094

Subventions

Organisme : Chief Scientist Office, Scottish Government Health and Social Care Directorate
ID : CZD/16/6
Organisme : Scottish Funding Council
ID : HR03006
Organisme : Horizon 2020 Framework Programme
ID : 633491
Organisme : Wellcome Trust
ID : 072960/Z/03/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 084726/Z/08/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 084727/Z/08/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 085475/Z/08/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 085475/B/08/Z
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

Références

Treede RD, Jensen TS, Campbell JN, Cruccu G, Dostrovsky JO, Griffin JW et al (2008) Neuropathic pain: redefinition and a grading system for clinical and research purposes. Neurology 70:1630–1635
doi: 10.1212/01.wnl.0000282763.29778.59
Treede RD, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R et al (2019) Chronic pain as a symptom or a disease: the IASP Classification of Chronic Pain for the International Classification of Diseases (ICD-11). Pain 160:19–27
doi: 10.1097/j.pain.0000000000001384
Torrance N, Lawson KD, Afolabi E, Bennett MI, Serpell MG, Dunn KM et al (2014) Estimating the burden of disease in chronic pain with and without neuropathic characteristics: does the choice between the EQ-5D and SF-6D matter? Pain 155:1996–2004
doi: 10.1016/j.pain.2014.07.001
Van Hecke O, Austin SK, Khan RA, Smith BH, Torrance N (2014) Neuropathic pain in the general population: a systematic review of epidemiological studies. Pain 155:654–662
doi: 10.1016/j.pain.2013.11.013
Tölle T, Xu X, Sadosky AB (2006) Painful diabetic neuropathy: a cross-sectional survey of health state impairment and treatment patterns. J Diabetes Complicat 20:26–33
doi: 10.1016/j.jdiacomp.2005.09.007
Gylfadottir SS, Christensen DH, Nicolaisen SK, Andersen H, Callaghan BC, Itani M et al (2020) Diabetic polyneuropathy and pain, prevalence, and patient characteristics: a cross-sectional questionnaire study of 5,514 patients with recently diagnosed type 2 diabetes. Pain 161:574–583
doi: 10.1097/j.pain.0000000000001744
Finnerup NB, Attal N, Haroutounian S, McNicol E, Baron R, Dworkin RH et al (2015) Pharmacotherapy for neuropathic pain in adults: a systematic review and meta-analysis. Lancet Neurol 14:162–173
doi: 10.1016/S1474-4422(14)70251-0
Veluchamy A, Hébert HL, Meng W, Palmer CNA, Smith BH (2018) Systematic review and meta-analysis of genetic risk factors for neuropathic pain. Pain 159:825–848
doi: 10.1097/j.pain.0000000000001164
Smith BH, Torrance N, Bennett MI, Lee AJ (2007) Health and quality of life associated with chronic pain of predominantly neuropathic origin in the community. Clin J Pain 23:143–149
doi: 10.1097/01.ajp.0000210956.31997.89
Momi SK, Fabiane SM, Lachance G, Livshits G, Williams FMK (2015) Neuropathic pain as part of chronic widespread pain: environmental and genetic influences. Pain 156:2100–2106
doi: 10.1097/j.pain.0000000000000277
Gore M, Brandenburg NA, Dukes E, Hoffman DL, Tai KS, Stacey B (2005) Pain severity in diabetic peripheral neuropathy is associated with patient functioning, symptom levels of anxiety and depression, and sleep. J Pain Symptom Manag 30:374–385
doi: 10.1016/j.jpainsymman.2005.04.009
Van Acker K, Bouhassira D, De Bacquer D, Weiss S, Matthys K, Raemen H et al (2009) Prevalence and impact on quality of life of peripheral neuropathy with or without neuropathic pain in type 1 and type 2 diabetic patients attending hospital outpatients clinics. Diabetes Metab 35:206–213
doi: 10.1016/j.diabet.2008.11.004
Abbott CA, Malik RA, Van Ross ERE, Kulkarni J, Boulton AJM (2011) Prevalence and characteristics of painful diabetic neuropathy in a large community-based diabetic population in the UK. Diabetes Care 34:2220–2224
doi: 10.2337/dc11-1108
Smith BH, Hébert HL, Veluchamy A (2020) Neuropathic pain in the community: prevalence, impact, and risk factors. Pain 161:S127–S137
doi: 10.1097/j.pain.0000000000001824
Steyerberg EW, Vergouwe Y (2014) Towards better clinical prediction models: Seven steps for development and an ABCD for validation. Eur Heart J 35:1925–1931
doi: 10.1093/eurheartj/ehu207
Collins GS, Reitsma JB, Altman DG, Moons KGM (2015) Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the tripod statement. J Clin Epidemiol 68:112–121
doi: 10.1016/j.jclinepi.2014.11.010
Pascal MMV, Themistocleous AC, Baron R, Binder A, Bouhassira D, Crombez G et al (2019) DOLORisk: Study protocol for a multi-centre observational study to understand the risk factors and determinants of neuropathic pain [version 2; referees: 2 approved]. Wellcome Open Res 3:63
doi: 10.12688/wellcomeopenres.14576.2
Hébert HL, Veluchamy A, Baskozos G, Fardo F, Van Ryckeghem DML, Pascal MMV et al (2021) Cohort profile: DOLORisk Dundee: a longitudinal study of chronic neuropathic pain. BMJ Open 11:e042887
doi: 10.1136/bmjopen-2020-042887
Smith BH, Campbell H, Blackwood D, Connell J, Connor M, Deary IJ et al (2006) Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability. BMC Med Genet 7:74
doi: 10.1186/1471-2350-7-74
Smith BH, Campbell A, Linksted P, Fitzpatrick B, Jackson C, Kerr SM et al (2013) Cohort profile: Generation scotland: Scottish family health study (GS: SFHS). The study, its participants and their potential for genetic research on health and illness. Int J Epidemiol 42:689–700
doi: 10.1093/ije/dys084
Hébert HL, Shepherd B, Milburn K, Veluchamy A, Meng W, Carr F et al (2018) Cohort profile: Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS). Int J Epidemiol 47:380–381j
doi: 10.1093/ije/dyx140
EuroQol Group (1990) EuroQol - a new facility for the measurement of health-related quality of life. Health Policy (New York) 16:199–208
doi: 10.1016/0168-8510(90)90421-9
Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D (2011) Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS®): depression, anxiety, and anger. Assessment 18:263–283
doi: 10.1177/1073191111411667
Yu L, Buysse DJ, Germain A, Moul DE, Stover A, Dodds NE et al (2011) Development of short forms from the PROMIS™ sleep disturbance and sleep-related impairment item banks. Behav Sleep Med 10:6–24
doi: 10.1080/15402002.2012.636266
Gosling SD, Rentfrow PJ, Swann WB (2003) A very brief measure of the Big-Five personality domains. J Res Pers 37:504–528
doi: 10.1016/S0092-6566(03)00046-1
Sullivan MJL, Bishop SR, Pivik J (1995) The pain catastrophizing scale: development and validation. Psychol Assess 7:524–532
doi: 10.1037/1040-3590.7.4.524
Purves AM, Penny KI, Munro C, Smith BH, Grimshaw J, Wilson B et al (1998) Defining chronic pain for epidemiological research: assessing a subjective definition. Pain Clin 10:139–147
McIntosh AM, Hall LS, Zeng Y, Adams MJ, Gibson J, Wigmore E et al (2016) Genetic and environmental risk for chronic pain and the contribution of risk variants for major depressive disorder: a family-based mixed-model analysis. PLoS Med 13:e1002090
doi: 10.1371/journal.pmed.1002090
Bouhassira D, Attal N, Alchaar H, Boureau F, Brochet B, Bruxelle J et al (2005) Comparison of pain syndromes associated with nervous or somatic lesions and development of a new neuropathic pain diagnostic questionnaire (DN4). Pain 114:29–36
doi: 10.1016/j.pain.2004.12.010
Hébert HL, Veluchamy A, Torrance N, Smith BH (2017) Risk factors for neuropathic pain in diabetes mellitus. Pain 158:560–568
doi: 10.1097/j.pain.0000000000000785
Calvo M, Davies AJ, Hébert HL, Weir GA, Chesler EJ, Finnerup NB et al (2019) The genetics of neuropathic pain from model organisms to clinical application. Neuron 104:637–653
doi: 10.1016/j.neuron.2019.09.018
Smith BH, Torrance N (2012) Epidemiology of neuropathic pain and its impact on quality of life. Curr Pain Headache Rep 16:191–198
doi: 10.1007/s11916-012-0256-0
The Scottish Government (2020) Scottish Index of Multiple Deprivation 2020. https://www.gov.scot/collections/scottish-index-of-multiple-deprivation-2020/
Kuhn M, Johnson K (2013) Applied predictive modeling. Springer, New York
doi: 10.1007/978-1-4614-6849-3
Courvoisier DS, Combescure C, Agoritsas T, Gayet-Ageron A, Perneger TV (2011) Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure. J Clin Epidemiol 64:993–1000
doi: 10.1016/j.jclinepi.2010.11.012
Peduzzi P, Concato J, Kemper E, Holford TR, Feinstem AR (1996) A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49:1373–1379
doi: 10.1016/S0895-4356(96)00236-3
Vittinghoff E, McCulloch CE (2007) Relaxing the rule of ten events per variable in logistic and cox regression. Am J Epidemiol 165:710–718
doi: 10.1093/aje/kwk052
White IR, Royston P, Wood AM (2011) Multiple imputation using chained equations: Issues and guidance for practice. Stat Med 30:377–399
doi: 10.1002/sim.4067
Rubin DB (1987) Multiple imputation for nonresponse in surveys. John Wiley & Sons, Inc., Hoboken
doi: 10.1002/9780470316696
Zuur AF, Ieno EN, Elphick CS (2010) A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol 1:3–14
doi: 10.1111/j.2041-210X.2009.00001.x
Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N et al (2010) Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 21:128–138
doi: 10.1097/EDE.0b013e3181c30fb2
Steyerberg EW (2009) Clinical prediction models. Springer, New York
doi: 10.1007/978-0-387-77244-8
Šimundić A-M (2009) Measures of diagnostic accuracy: basic definitions. EJIFCC 19:203–211
Saito T, Rehmsmeier M (2015) The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets. PLoS ONE 10:e0118432
doi: 10.1371/journal.pone.0118432
Vickers AJ, Elkin EB (2006) Decision curve analysis: a novel method for evaluating prediction models. Med Decis Mak 26:565–574
doi: 10.1177/0272989X06295361
R Core Team (2020) R: a language and environment for statistical computing. Vienna; 2020. https://www.r-project.org/
van Buuren S, Groothuis-Oudshoorn K (2011) mice: multivariate imputation by chained equations in R. J Stat Softw 45:1–67
doi: 10.18637/jss.v045.i03
Márcia Barbosa A, Real R, Muñoz AR, Brown JA (2013) New measures for assessing model equilibrium and prediction mismatch in species distribution models. Divers Distrib 19:1333–1338
doi: 10.1111/ddi.12100
Grau J, Grosse I, Keilwagen J (2015) PRROC: computing and visualizing Precision-recall and receiver operating characteristic curves in R. Bioinformatics 31:2595–2597
doi: 10.1093/bioinformatics/btv153
Keilwagen J, Grosse I, Grau J (2014) Area under precision-recall curves for weighted and unweighted data. PLoS ONE 9:e92209
doi: 10.1371/journal.pone.0092209
Brown M (2018) rmda: risk model decision analysis. https://cran.r-project.org/package=rmda
Stocks J, Tang NK, Walsh DA, Warner SC, Harvey HL, Jenkins W et al (2018) Bidirectional association between disturbed sleep and neuropathic pain symptoms: a prospective cohort study in post-total joint replacement participants: what did the researchers do and find? J Pain Res 11:1087–1093
doi: 10.2147/JPR.S149830
Malvar J, Vaida F, Sanders CF, Atkinson JH, Bohannon W, Keltner J et al (2015) Predictors of new-onset distal neuropathic pain in HIV-infected individuals in the era of combination antiretroviral therapy. Pain 156:731–739
doi: 10.1097/01.j.pain.0000461252.75089.bf
Bouhassira D, Chassany O, Gaillat J, Hanslik T, Launay O, Mann C et al (2012) Patient perspective on herpes zoster and its complications: an observational prospective study in patients aged over 50 years in general practice. Pain 153:342–349
doi: 10.1016/j.pain.2011.10.026
Parruti G, Tontodonati M, Rebuzzi C, Polilli E, Sozio F, Consorte A et al (2010) Predictors of pain intensity and persistence in a prospective Italian cohort of patients with herpes zoster: relevance of smoking, trauma and antiviral therapy. BMC Med 8:58
doi: 10.1186/1741-7015-8-58
Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J et al (2015) UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 12:e1001779
doi: 10.1371/journal.pmed.1001779
Finnerup NB, Haroutounian S, Kamerman P, Baron R, Bennett DLH, Bouhassira D et al (2016) Neuropathic pain: an updated grading system for research and clinical practice. Pain 157:1599–1606
doi: 10.1097/j.pain.0000000000000492
Harrison S, Alderdice F, Quigley MA (2020) External validity of prevalence estimates from the national maternity surveys in England: the impact of response rate. PLoS ONE 15:e0242815
doi: 10.1371/journal.pone.0242815
Curtin R, Presser S, Singer E (2000) The effects of response rate changes on the index of consumer sentiment. Public Opin Q 64:413–428
doi: 10.1086/318638
Keeter S, Miller C, Kohut A, Groves RM, Presser S (2000) Consequences of reducing nonresponse in a national telephone survey. Public Opin Q 64:125–148
doi: 10.1086/317759
Meterko M, Restuccia JD, Stolzmann K, Mohr D, Brennan C, Glasgow J et al (2015) Response rates, nonresponse bias, and data quality: results from a national survey of senior healthcare leaders. Public Opin Q 79:130–144
doi: 10.1093/poq/nfu052
Torrance N, Smith BH, Bennett MI, Lee AJ (2006) The epidemiology of chronic pain of predominantly neuropathic origin. Results from a general population survey. J Pain 7:281–289
doi: 10.1016/j.jpain.2005.11.008
VanDenKerkhof EG, Mann EG, Torrance N, Smith BH, Johnson A, Gilron I (2016) An epidemiological study of neuropathic pain symptoms in Canadian adults. Pain Res Manag 2016:9815750
doi: 10.1155/2016/9815750
Traeger AC, Henschke N, Hübscher M, Williams CM, Kamper SJ, Maher CG et al (2016) Estimating the risk of chronic pain: development and validation of a prognostic model (PICKUP) for patients with acute low back pain. PLoS Med 13:e1002019
doi: 10.1371/journal.pmed.1002019
Fernandes GS, Bhattacharya A, McWilliams DF, Ingham SL, Doherty M, Zhang W (2017) Risk prediction model for knee pain in the Nottingham community: a Bayesian modelling approach. Arthritis Res Ther 19:1–8
doi: 10.1186/s13075-017-1272-6
Montes A, Roca G, Cantillo J, Sabate S (2020) Presurgical risk model for chronic postsurgical pain based on 6 clinical predictors: a prospective external validation. Pain 161:2611–2618
doi: 10.1097/j.pain.0000000000001945
Geneen LJ, Moore RA, Clarke C, Martin D, Colvin LA, Smith BH (2017) Physical activity and exercise for chronic pain in adults: an overview of Cochrane Reviews. Cochrane Database Syst Rev 1:CD011279
Bouhassira D, Letanoux M, Hartemann A (2013) Chronic pain with neuropathic characteristics in diabetic patients: a French cross-sectional study. PLoS ONE 8:e74195
doi: 10.1371/journal.pone.0074195
Chopra K, Tiwari V (2012) Alcoholic neuropathy: possible mechanisms and future treatment possibilities. Br J Clin Pharmacol 73:348–362
doi: 10.1111/j.1365-2125.2011.04111.x
Koop SMW, ten Klooster PM, Vonkeman HE, Steunebrink LMM, van de Laar MAFJ (2015) Neuropathic-like pain features and cross-sectional associations in rheumatoid arthritis. Arthritis Res Ther 17:237
doi: 10.1186/s13075-015-0761-8
Solaro C, Cella M, Signori A, Martinelli V, Radaelli M, Centonze D et al (2018) Identifying neuropathic pain in patients with multiple sclerosis: a cross-sectional multicenter study using highly specific criteria. J Neurol 265:828–835
doi: 10.1007/s00415-018-8758-2
Ziegler D, Rathmann W, Meisinger C, Dickhaus T, Mielck A (2009) Prevalence and risk factors of neuropathic pain in survivors of myocardial infarction with pre-diabetes and diabetes. The KORA Myocardial Infarction Registry. Eur J Pain 13:582–587
doi: 10.1016/j.ejpain.2008.07.007
Fernandes GS, Valdes AM, Walsh DA, Zhang W, Doherty M (2018) Neuropathic-like knee pain and associated risk factors: a cross-sectional study in a UK community sample. Arthritis Res Ther 20:215
doi: 10.1186/s13075-018-1717-6
Gasperi M, Herbert M, Schur E, Buchwald D, Afari N (2017) Genetic and environmental influences on sleep, pain, and depression symptoms in a community sample of twins. Psychosom Med 79:646–654
doi: 10.1097/PSY.0000000000000456
Nelson S, Simons LE, Logan D (2018) The incidence of adverse childhood experiences (ACEs) and their association with pain-related and psychosocial impairment in youth with chronic pain. Clin J Pain 34:402–408
doi: 10.1097/AJP.0000000000000549
Vinik A, Emir B, Parsons B, Cheung R (2014) Prediction of pregabalin-mediated pain response by severity of sleep disturbance in patients with painful diabetic neuropathy and post-herpetic neuralgia. Pain Med 15:661–670
doi: 10.1111/pme.12310
Veluchamy A, Hébert HL, Van Zuydam NR, Pearson ER, Campbell A, Hayward C et al (2021) Association of genetic variant at chromosome 12q23.1 with neuropathic pain susceptibility. JAMA Netw Open 4:e2136560
doi: 10.1001/jamanetworkopen.2021.36560

Auteurs

Harry L Hébert (HL)

Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital and Medical School, University of Dundee, Kirsty Semple Way, Dundee, DD2 4BF, UK.

Abirami Veluchamy (A)

Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital and Medical School, University of Dundee, Kirsty Semple Way, Dundee, DD2 4BF, UK.
Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.

Georgios Baskozos (G)

Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, UK.

Francesca Fardo (F)

Danish Pain Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Dimitri Van Ryckeghem (D)

Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium.
Section Experimental Health Psychology, Clinical Psychological Science, Departments, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.

Ewan R Pearson (ER)

Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.

Lesley A Colvin (LA)

Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital and Medical School, University of Dundee, Kirsty Semple Way, Dundee, DD2 4BF, UK.

Geert Crombez (G)

Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium.

David L H Bennett (DLH)

Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, UK.

Weihua Meng (W)

Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital and Medical School, University of Dundee, Kirsty Semple Way, Dundee, DD2 4BF, UK.

Colin N A Palmer (CNA)

Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.

Blair H Smith (BH)

Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital and Medical School, University of Dundee, Kirsty Semple Way, Dundee, DD2 4BF, UK. b.h.smith@dundee.ac.uk.

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