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Menezes FTLD, Lopes AB, Alencar JMD, Bichuetti DB, Souza NAD, Cogo-Moreira H, Oliveira EMLD. A mixture model for differentiating longitudinal courses of multiple sclerosis. Mult Scler Relat Disord 2024; 81:105346. [PMID: 38091806 DOI: 10.1016/j.msard.2023.105346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/07/2023] [Accepted: 11/24/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Multiple sclerosis has a broad spectrum of clinical courses. Early identification of patients at greater risk of accumulating disability is essential. OBJECTIVES Identify groups of patients with similar presentation through a mixture model and predict their trajectories over the years. METHODS Retrospective study of patients from 1994 to 2019. We performed a latent profile analysis followed by a latent transition analysis based on eight parameters: age, disease duration, EDSS, number of relapses, multi-topographic symptoms, motor impairment, sphincter impairment, and infratentorial lesions. RESULTS We included 629 patients, regardless of the phenotypical classification. We identified three distinct groups at the beginning and end of the follow-up. The three-classes model disclosed the "No disability regardless disease duration" (NDRDD) class with low EDSS and younger patients, the "Disability within a short disease duration" (DSDD) class with the worse disability besides short illness, and the "Disability within a long disease duration" (DLDD) class that achieved high EDSS over a long disease duration. EDSS, disease duration, and no sphincter impairment had the best entropy to distinguish classes at the initial presentation. Over time, the patients from NDRDD had a 52.1 % probability of changing to DLDD and 7.7 % of changing to DSDD. CONCLUSIONS We identified three groups of clinical presentations and their evolution over time based on considered prognostic factors. The most likely transition is from NDRDD to DLDD.
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Affiliation(s)
- Felipe Toscano Lins de Menezes
- Neuroimmunology Clinic, Disciplina de Neurologia, Escola Paulista de Medicina - Universidade Federal de São Paulo, Sao Paulo, Brazil.
| | - Alexandre Bussinger Lopes
- Neuroimmunology Clinic, Disciplina de Neurologia, Escola Paulista de Medicina - Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Jéssica Monique Dias Alencar
- Neuroimmunology Clinic, Disciplina de Neurologia, Escola Paulista de Medicina - Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Denis Bernardi Bichuetti
- Neuroimmunology Clinic, Disciplina de Neurologia, Escola Paulista de Medicina - Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Nilton Amorim de Souza
- Neuroimmunology Clinic, Disciplina de Neurologia, Escola Paulista de Medicina - Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Hugo Cogo-Moreira
- Department of Education, ICT and Learning, Østfold University College, Halden, Norway
| | - Enedina Maria Lobato de Oliveira
- Neuroimmunology Clinic, Disciplina de Neurologia, Escola Paulista de Medicina - Universidade Federal de São Paulo, Sao Paulo, Brazil
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Lechner-Scott J, Agland S, Allan M, Darby D, Diamond K, Merlo D, van der Walt A. Managing cognitive impairment and its impact in multiple sclerosis: An Australian multidisciplinary perspective. Mult Scler Relat Disord 2023; 79:104952. [PMID: 37683558 DOI: 10.1016/j.msard.2023.104952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 07/10/2023] [Accepted: 08/20/2023] [Indexed: 09/10/2023]
Abstract
Cognitive impairment in multiple sclerosis (MS) affects approximately 40-70% of patients and can have varying degrees of severity. Even mild cognitive impairment can impact on quality of life and productivity. Despite this, patients are not routinely screened or monitored for cognitive impairment in Australia due to a range of issues, with time and space being the main limiting factors. This Australian multidisciplinary perspective provides recommendations on cognition management in Australia. It gives a broad overview of cognition in MS, advice on the screening and monitoring tools available to clinicians, and strategies that can be implemented in clinics to help monitor for cognitive impairment in patients with MS. We suggest a routine baseline assessment and multidomain cognitive battery in regular intervals; a change should trigger a thorough investigation of the cause.
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Affiliation(s)
- Jeannette Lechner-Scott
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia; Department of Neurology, John Hunter Hospital, New Lambton Heights, Australia; Hunter Medical Research Institute, New Lambton, NSW, Australia.
| | - Susan Agland
- MSSN John Hunter Hospital, Hunter New England Health, Australia
| | - Michelle Allan
- Multiple Sclerosis Nurse Consultant, Monash Health, Australia
| | - David Darby
- Department of Neurology, Alfred Hospital, Melbourne, Australia; Department of Neurology, Royal Melbourne Hospital, Parkville, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Keri Diamond
- Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Sydney, Australia
| | - Daniel Merlo
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Anneke van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia; Department of Neurology, MSNI Service, Alfred Health, Melbourne, Australia
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Young CA, Rog DJ, Sharrack B, Constantinescu C, Kalra S, Harrower T, Langdon D, Tennant A, Mills RJ. Measuring disability in multiple sclerosis: the WHODAS 2.0. Qual Life Res 2023; 32:3235-3246. [PMID: 37589773 PMCID: PMC10522513 DOI: 10.1007/s11136-023-03470-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 08/18/2023]
Abstract
INTRODUCTION Reliable measurement of disability in multiple sclerosis (MS) using a comprehensive, patient self-reported scale, such as the World Health Organization Disability Assessment Schedule (WHODAS) 2.0, would be of clinical and research benefit. METHODS In the Trajectories of Outcome in Neurological Conditions-MS study, WHODAS 2.0 (WHODAS-36 items for working, WHODAS-32 items if not working, WHODAS-12 items short-form) was examined using Rasch analysis in 5809 people with MS. RESULTS The 36- and 32-item parallel forms, and the cognitive and physical domains, showed reliability consistent with individual or group use. The 12-item short-form is valid for group use only. Interval level measurement for parametric statistics can be derived from all three scales which showed medium to strong effect sizes for discrimination across characteristics such as age, subtype, and disease duration. Smallest detectable difference for each scale was < 6 on the standardised metric of 0-100 so < 6% of the total range. There was no substantial differential item functioning (DIF) by age, gender, education, working full/part-time, or disease duration; the finding of no DIF for time or sample supports the use of WHODAS 2.0 for longitudinal studies, with the 36- and 32-item versions and the physical and cognitive domains valid for individual patient follow-up. CONCLUSIONS Disability in MS can be comprehensively measured at interval level by the WHODAS 2.0, and validly monitored over time. Routine use of this self-reported measure in clinical and research practice would give valuable information on the trajectories of disability of individuals and groups.
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Affiliation(s)
- Carolyn A Young
- Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK.
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
| | - David J Rog
- Northern Care Alliance NHS Trust, Salford, UK
| | - Basil Sharrack
- Academic Department of Neurology, University of Sheffield, Sheffield, UK
| | | | - Seema Kalra
- University Hospital of North Midlands NHS Trust, Stoke-on-Trent, UK
| | | | - Dawn Langdon
- Royal Holloway, University of London, Egham, Surrey, UK
| | - Alan Tennant
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Roger J Mills
- Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
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Zhang D, Sun F, Chen J, Ding H, Wang X, Shen N, Li T, Ye S. Four trajectories of 24-hour urine protein levels in real-world lupus nephritis cohorts. RMD Open 2023; 9:rmdopen-2022-002930. [PMID: 37208030 DOI: 10.1136/rmdopen-2022-002930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/20/2023] [Indexed: 05/21/2023] Open
Abstract
OBJECTIVES A 24-hour urine protein (24hUP) is a key measurement in the management of lupus nephritis (LN); however, trajectories of 24hUP in LN is poorly defined. METHODS Two LN cohorts that underwent renal biopsies at Renji Hospital were included. Patients received standard of care in a real-world setting and 24hUP data were collected over time. Trajectory patterns of 24hUP were determined using the latent class mixed modelling (LCMM). Baseline characters were compared among trajectories and multinomial logistic regression was used to determine independent risk factors. Optimal combinations of variables were identified for model construction and user-friendly nomograms were developed. RESULTS The derivation cohort composed of 194 patients with LN with 1479 study visits and a median follow-up of 17.5 (12.2-21.7) months. Four trajectories of 24hUP were identified, that is, Rapid Responders, Good Responders, Suboptimal Responders and Non-Responders, with the KDIGO renal complete remission rates (time to complete remission, months) of 84.2% (4.19), 79.6% (7.94), 40.4% (not applicable) and 9.8% (not applicable), respectively (p<0.001). The 'Rapid Responders' distinguish itself from other trajectories and a nomogram, composed of age, systemic lupus erythematosus duration, albumin and 24hUP yielded C-indices >0.85. Another nomogram to predict 'Good Responders' yielded C-indices of 0.73~0.78, which composed of gender, new-onset LN, glomerulosclerosis and partial remission within 6 months. When applied to the validation cohort with 117 patients and 500 study visits, nomograms effectively sorted out 'Rapid Responders' and 'Good Responders'. CONCLUSION Four trajectories of LN shed some light to guide the management of LN and further clinical trials design.
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Affiliation(s)
- Danting Zhang
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 2000 Jiangye Rd, Shanghai, 201112, China
| | - Fangfang Sun
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 2000 Jiangye Rd, Shanghai, 201112, China
| | - Jie Chen
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 2000 Jiangye Rd, Shanghai, 201112, China
| | - Huihua Ding
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 145 Shandong (M) Rd, Shanghai, 200001, China
| | - Xiaodong Wang
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 2000 Jiangye Rd, Shanghai, 201112, China
| | - Nan Shen
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 145 Shandong (M) Rd, Shanghai, 200001, China
| | - Ting Li
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 2000 Jiangye Rd, Shanghai, 201112, China
| | - Shuang Ye
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, 2000 Jiangye Rd, Shanghai, 201112, China
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Foong YC, Bridge F, Merlo D, Gresle M, Zhu C, Buzzard K, Butzkueven H, van der Walt A. Smartphone monitoring of cognition in people with multiple sclerosis: A systematic review. Mult Scler Relat Disord 2023; 73:104674. [DOI: 10.1016/j.msard.2023.104674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/30/2023] [Accepted: 03/26/2023] [Indexed: 03/29/2023]
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Treadmill training with virtual reality to enhance gait and cognitive function among people with multiple sclerosis: a randomized controlled trial. J Neurol 2023; 270:1388-1401. [PMID: 36357586 PMCID: PMC9649393 DOI: 10.1007/s00415-022-11469-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Motor and cognitive impairments impact the everyday functioning of people with MS (pwMS). The present randomized controlled trial (RCT) evaluated the benefits of a combined motor-cognitive virtual reality training program on key motor and cognitive symptoms and related outcomes in pwMS. METHODS In a single-blinded, two-arm RCT, 124 pwMS were randomized into a treadmill training with virtual reality (TT + VR) group or a treadmill training alone (TT) (active-control) group. Both groups received three training sessions per week for 6 weeks. Dual-tasking gait speed and cognitive processing speed (Symbol Digit Modalities Test, SDMT, score) were the primary outcomes. Secondary outcomes included additional tests of cognitive function, mobility, and patient-reported questionnaires. These were measured before, after, and 3 months after training. RESULTS Gait speed improved (p < 0.005) in both groups, similarly, by about 10 cm/s. The TT + VR group (n = 53 analyzed per-protocol) showed a clinically meaningful improvement of 4.4 points (95% CI 1.9-6.8, p = 0.001) in SDMT, compared to an improvement of only 0.8 points in the TT (n = 51 analyzed per-protocol) group (95% CI 0.9-2.5 points, p = 0.358) (group X time interaction effect p = 0.027). Furthermore, TT + VR group-specific improvements were seen in depressive symptoms (lowered by 31%, p = 0.003), attention (17%, p < 0.001), and verbal fluency (11.6% increase, p = 0.002). DISCUSSION These findings suggest that both TT and TT + VR improve usual and dual-task gait in pwMS. Nonetheless, a multi-modal approach based on VR positively impacts multiple aspects of cognitive function and mental health, more than seen after treadmill-treading alone. Trial registered at ClinicalTrials.Gov NCT02427997.
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