Hostname: page-component-55f67697df-bzg56 Total loading time: 0 Render date: 2025-05-11T16:21:23.067Z Has data issue: false hasContentIssue false

Impact of Non-Motor Symptoms on Quality of Life in Patients with Early-Onset Parkinson’s Disease

Published online by Cambridge University Press:  05 January 2024

Ameya Patwardhan
Affiliation:
Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
Nitish Kamble
Affiliation:
Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
Amitabh Bhattacharya
Affiliation:
Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
Vikram Holla
Affiliation:
Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
Ravi Yadav
Affiliation:
Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
Pramod Kumar Pal*
Affiliation:
Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
*
Corresponding author: P. K. Pal; Email: [email protected]

Abstract:

Background:

Early-onset Parkinson’s disease (EOPD) refers to patients with Parkinson’s disease (PD) whose age at disease onset is less than 50 years. Literature on the non-motor symptoms (NMS) in these patients is very limited in the Indian context. We aimed to study the NMS in patients with EOPD and its impact on the quality of life (QoL).

Methods:

We included 124 patients with EOPD with a mean age at disease onset between 21 and 45 years and 60 healthy controls (HC). NMS were assessed using validated scales, and the QoL domains were evaluated using the PD QoL–39 scale (PDQ-39).

Results:

The mean age at disease onset in EOPD patients was 37.33 ± 6.36 years. Majority of the patients were male (66.12%). The average disease duration was 6.62 ± 5.3 years. EOPD patients exhibited a significantly higher number of NMS per patient (7.97 ± 4.69) compared to HC (1.3 ± 1.39; p < 0.001). The most common NMS reported were urinary dysfunction, body pain, poor sleep quality, constipation, anxiety, depression, cognitive impairment, and REM sleep behavior disorder. The total NMS burden correlated with the QoL measures. Distinctive patterns of QoL subdomain involvement were identified, with sleep/fatigue, mood/cognition, and urinary dysfunction independently influencing QoL metrics.

Conclusions:

Our study provides valuable insights into the NMS profile and its impact on QoL in patients with EOPD, addressing an important knowledge gap in the Indian context. By understanding the specific NMS and their influence on QoL, healthcare professionals can develop targeted interventions to address these symptoms and improve the overall QoL.

Résumé:

RÉSUMÉ:Contexte :

On entend par maladie de Parkinson précoce (MPP) une maladie dont les symptômes apparaissent avant l’âge de 50 ans. La documentation sur les symptômes non moteurs (SNM) de ce type de maladie est maigre en Inde. Aussi l’étude visait-elle à examiner les SNM chez les patients atteints de la MPP et leurs répercussions sur la qualité de vie (QV).

Méthode :

Ont participé à l’étude 124 patients atteints de la MPP chez qui les premiers symptômes sont apparus en moyenne entre l’âge de 21 ans et de 45 ans, ainsi que 60 témoins en bonne santé (TBS). Les SNM ont été évalués à l’aide d’échelles validée, et les domaines de la QV, à l’aide de l’échelle d’évaluation de la qualité de vie à 39 questions, dans la maladie de Parkinson, la PDQ-39.

Résultats :

L’âge moyen d’apparition de la MPP était de 37,33 ± 6,36 ans, et la durée moyenne de la maladie s’élevait à 6,62 ± 5,3 ans. La majorité des personnes touchées était des hommes (66,12 %). Les sujets atteints de la MPP présentaient un nombre significativement plus élevé de SNM par patient (7,97 ± 4,69) que les TBS (1,3 ± 1,39; p < 0,001). Les SNM déclarés le plus souvent étaient des troubles urinaires, des douleurs corporelles, une mauvaise qualité de sommeil, la constipation, l’anxiété, la dépression, des troubles cognitifs et des troubles de comportement du sommeil durant la phase de mouvements oculaires rapides. Une corrélation a été établie entre le fardeau total des SNM et les mesures de la QV. Des types particuliers d’atteinte à la QV dans certains sous-domaines, soit le sommeil et la fatigue, l’humeur et la cognition et les troubles urinaires, influant de manière indépendante les mesures de la QV, se sont dégagés de l’étude.

Conclusion :

L’étude a permis de dresser un tableau valable des SNM et de leurs répercussions sur la QV chez les patients atteints de la MPP, ce qui comble une lacune importante en matière de connaissances en Inde. En ayant une meilleure compréhension de ces SNM particuliers et de leur incidence sur la QV, les professionnels de la santé peuvent élaborer des interventions ciblées dans le but d’atténuer ces symptômes et d’améliorer la QV en général.

Type
Original Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Mehanna, R, Smilowska, K, Fleisher, J, et al. Age cutoff for early-onset Parkinson’s disease: recommendations from the international parkinson and movement disorder society task force on early onset parkinson’s disease. Mov Disord Clin Pract. 2022;9:869–78. DOI: 10.1002/MDC3.13523.CrossRefGoogle ScholarPubMed
Willis, AW, Schootman, M, Kung, N, Racette, BA, Willis, A. Epidemiology and neuropsychiatric manifestations of young onset Parkinson’s disease in the United States. Parkinsonism Relat Disord. 2013;19:202–6. DOI: 10.1016/j.parkreldis.2012.09.014.CrossRefGoogle ScholarPubMed
Knipe, MDW, Wickremaratchi, MM, Wyatt-Haines, E, Morris, HR, Ben-Shlomo, Y. Quality of life in young- compared with late-onset Parkinson’s disease. Mov Disord. 2011;26:2011–8. DOI: 10.1002/mds.23763.CrossRefGoogle Scholar
Fereshtehnejad, SM, Hadizadeh, H, Farhadi, F, Shahidi, GA, Delbari, A, Lökk, J. Comparison of the psychological symptoms and disease-specific quality of life between early- and typical-onset Parkinson’s disease patients. Parkinsons Dis. 2014;2014:819260–7. DOI: 10.1155/2014/819260.Google ScholarPubMed
Zhou, XY, Liu, FT, Chen, C, et al. Quality of life in newly diagnosed patients with parkin-related Parkinson’s disease. Front Neurol. 2020;11:580910. DOI: 10.3389/fneur.2020.580910.CrossRefGoogle ScholarPubMed
Kumar, A, Patil, S, Singh, VK, et al. Assessment of non-motor symptoms of Parkinson’s disease and their impact on the quality of life: an observational study. Ann Indian Acad Neurol. 2022;25:909–15. DOI: 10.4103/aian.aian_647_21.CrossRefGoogle Scholar
Kukkle, PL, Goyal, V, Geetha, TS, et al. Clinical study of 668 Indian subjects with juvenile, young, and early onset Parkinson’s disease. Can J Neurol Sci. 2022;49:93101. DOI: 10.1017/cjn.2021.40.CrossRefGoogle Scholar
de Souza, A, Kakode, VRP, D.’Costa, Z, Bhonsle, SK. Nonmotor symptoms in Indian patients with Parkinson’s disease. Basal Ganglia. 2015;5:8993. DOI: 10.1016/j.baga.2015.09.002.CrossRefGoogle Scholar
Karri, M, Ramasamy, B, Kalidoss, R. Prevalence of non-motor symptoms in Parkinson’s disease and its impact on quality of life in tertiary care center in India. Ann Indian Acad Neurol. 2020;23:270–4. DOI: 10.4103/aian.AIAN_10_19.Google ScholarPubMed
Marsili, L, Rizzo, G, Colosimo, C. Diagnostic criteria for Parkinson’s disease: from James Parkinson to the concept of prodromal disease. Front Neurol. 2018;9:156. DOI: 10.3389/FNEUR.2018.00156.CrossRefGoogle Scholar
Tomlinson, CL, Stowe, R, Patel, S, Rick, C, Gray, R, Clarke, CE. Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Mov Disord. 2010;25:2649–53. DOI: 10.1002/MDS.23429.CrossRefGoogle ScholarPubMed
Schiess, MC, Zheng, H, Soukup, VM, Bonnen, JG, Nauta, HJW. Parkinson’s disease subtypes: clinical classification and ventricular cerebrospinal fluid analysis. Parkinsonism Relat Disord. 2000;6:6976. DOI: 10.1016/S1353-8020(99)00051-6.CrossRefGoogle ScholarPubMed
Walker, NA, Sunderram, J, Zhang, P, en Lu, S, Scharf, MT. Clinical utility of the epworth sleepiness scale. Sleep Breath. 2020;24:1759–65. DOI: 10.1007/S11325-020-02015-2/METRICS.CrossRefGoogle ScholarPubMed
Arnulf, I. Excessive daytime sleepiness in parkinsonism. Sleep Med Rev. 2005;9:185200. DOI: 10.1016/j.smrv.2005.01.001.CrossRefGoogle ScholarPubMed
Storch, A, Schneider, CB, Klingelhöfer, L, et al. Quantitative assessment of non-motor fluctuations in Parkinson’s disease using the non-motor symptoms scale (NMSS). J Neural Transm. 2015;122:1673–84. DOI: 10.1007/S00702-015-1437-X/METRICS.CrossRefGoogle ScholarPubMed
Romenets, SR, Wolfson, C, Galatas, C, et al. Validation of the non-motor symptoms questionnaire (NMS-Quest). Parkinsonism Relat Disord. 2012;18:54–8. DOI: 10.1016/j.parkreldis.2011.08.013.CrossRefGoogle ScholarPubMed
Martinez-Martin, P, Rodriguez-Blazquez, C, Catalan, MJ. Independent and complementary validation of the QUIP-RS in advanced Parkinson’s disease. Mov Disord Clin Pract. 2018;5:341342. DOI: 10.1002/MDC3.12603.CrossRefGoogle ScholarPubMed
Zigmond, AS, Snaith, RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70. DOI: 10.1111/J.1600-0447.1983.TB09716.X.CrossRefGoogle ScholarPubMed
Stiasny-Kolster, K, Mayer, G, Schäfer, S, Möller, JC, Heinzel-Gutenbrunner, M, Oertel, WH. The REM sleep behavior disorder screening questionnaire—A new diagnostic instrument. Mov Disord. 2007;22:2386–93. DOI: 10.1002/MDS.21740.CrossRefGoogle ScholarPubMed
Buysse, DJ, Reynolds, CF, Monk, TH, Berman, SR, Kupfer, DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193213. DOI: 10.1016/0165-1781(89)90047-4.CrossRefGoogle ScholarPubMed
Nasreddine, ZS, Phillips, NA, Bédirian, V, et al. The montreal cognitive assessment, moCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–9. DOI: 10.1111/J.1532-5415.2005.53221.X.CrossRefGoogle Scholar
Jenkinson, C, Fitzpatrick, R, Peto, V, Greenhall, R, Hyman, N. The parkinson’s disease questionnaire (PDQ-39): development and validation of a Parkinson’s disease summary index score. Age Ageing. 1997;26:353–7. DOI: 10.1093/AGEING/26.5.353.CrossRefGoogle ScholarPubMed
Schrag, A, Schott, JM. Epidemiological, clinical, and genetic characteristics of early-onset parkinsonism. Lancet Neurol. 2006;5:355–63. DOI: 10.1016/S1474-4422(06)70411-2.CrossRefGoogle ScholarPubMed
Mehanna, R, Moore, S, Hou, JG, Sarwar, AI, Lai, EC. Comparing clinical features of young onset, middle onset and late onset Parkinson’s disease. Parkinsonism Relat Disord. 2014;20:530–4. DOI: 10.1016/j.parkreldis.2014.02.013.CrossRefGoogle ScholarPubMed
Liu, X, Le, W. Profiling non-motor symptoms in monogenic Parkinson’s disease. Front Aging Neurosci. 2020;12:591183. DOI: 10.3389/FNAGI.2020.591183.CrossRefGoogle ScholarPubMed
Gjerstad, MD, Boeve, B, Wentzel-Larsen, T, Aarsland, D, Larsen, JP. Occurrence and clinical correlates of REM sleep behaviour disorder in patients with Parkinson’s disease over time. J Neurol Neurosurg Psychiatry. 2008;79:387–91. DOI: 10.1136/JNNP.2007.116830.CrossRefGoogle ScholarPubMed
Ray, S, Agarwal, P. Depression and anxiety in Parkinson disease. Clin Geriatr Med. 2020;36:93104. DOI: 10.1016/j.cger.2019.09.012.CrossRefGoogle ScholarPubMed
Rai, N, Goyal, V, Kumar, N, et al. Neuropsychiatric co-morbidities in non-demented Parkinson’s disease. Ann Indian Acad Neurol. 2015;18:33. DOI: 10.4103/0972-2327.144287.Google ScholarPubMed
Chaudhary, S, Joshi, D, Pathak, A, Mishra, VN, Chaurasia, RN, Gupta, G. Comparison of cognitive profile in young- and late-onset Parkinson’s disease patients. Ann Indian Acad Neurol. 2018;21:130. DOI: 10.4103/AIAN.AIAN_262_17.Google Scholar
Tang, H, Huang, J, Nie, K, et al. Cognitive profile of parkinson’s disease patients: a comparative study between early-onset and late-onset Parkinson’s disease. Int J Neurosci. 2015;126:227–34. DOI: 10.3109/00207454.2015.1010646.CrossRefGoogle ScholarPubMed
Lim, SY, Tan, ZK, Ngam, PI, et al. Impulsive-compulsive behaviors are common in Asian Parkinson’s disease patients: assessment using the QUIP. Parkinsonism Relat Disord. 2011;17:761–4. DOI: 10.1016/j.parkreldis.2011.07.009.CrossRefGoogle ScholarPubMed
Vela, L, Martínez Castrillo, JC, García Ruiz, P, et al. The high prevalence of impulse control behaviors in patients with early-onset Parkinson’s disease: a cross-sectional multicenter study. J Neurol Sci. 2016;368:150–4. DOI: 10.1016/j.jns.2016.07.003.CrossRefGoogle ScholarPubMed
Špica, V, Pekmezović, T, Svetel, M, Kostić, VS. Prevalence of non-motor symptoms in young-onset versus late-onset Parkinson’s disease. J Neurol. 2013;260:131–7. DOI: 10.1007/S00415-012-6600-9/METRICS.CrossRefGoogle ScholarPubMed
Horsager, J, Knudsen, K, Sommerauer, M. Clinical and imaging evidence of brain-first and body-first Parkinson’s disease. Neurobiol Dis. 2022;164:105626. DOI: 10.1016/j.nbd.2022.105626.CrossRefGoogle ScholarPubMed
Muthane, UB, Swamy, HS, Satishchandra, P, Subhash, MN, Rao, S, Subbakrishna, D. Early onset Parkinson’s disease: are juvenile- and young-onset different? Mov Disord. 1994;9:539–44. DOI: 10.1002/mds.870090506.CrossRefGoogle ScholarPubMed
Muslimović, D, Post, B, Speelman, JD, Schmand, B, de Haan, RJ. Determinants of disability and quality of life in mild to moderate Parkinson disease. Neurology. 2008;70:2241–47. DOI: 10.1212/01.wnl.0000313835.33830.80.CrossRefGoogle ScholarPubMed
Mehanna, R, Jankovic, J. Young-onset Parkinson’s disease: its unique features and their impact on quality of life. Parkinsonism Relat Disord. 2019;65:3948. DOI: 10.1016/j.parkreldis.2019.06.001.CrossRefGoogle ScholarPubMed
Tran, TN, Le Ha, UN, Nguyen, TM, et al. The effect of non-motor symptoms on health-related quality of life in patients with young onset Parkinson’s disease: a single center Vietnamese cross-sectional study. Clin Park Relat Disord. 2021;5:100118. DOI: 10.1016/J.PRDOA.2021.100118.Google ScholarPubMed
Kim, R, Shin, JH, Park, S, Kim, HJ, Jeon, B. Longitudinal evolution of non-motor symptoms according to age at onset in early Parkinson’s disease. J Neurol Sci. 2020;418:117157. DOI: 10.1016/j.jns.2020.117157.CrossRefGoogle ScholarPubMed
Carolis, LD, Galli, S, Bianchini, E, et al. Age at onset influences progression of motor and non-motor symptoms during the early stage of parkinson’s disease: a monocentric retrospective study. Brain Sci. 2023;13:157. DOI: 10.3390/brainsci13020157.CrossRefGoogle ScholarPubMed
Zhou, MZ, Gan, J, Wei, YR, et al. The association between non-motor symptoms in Parkinson’s disease and age at onset. Clin Neurol Neurosurg. 2013;115:2103–7. DOI: 10.1016/j.clineuro.2013.07.027.CrossRefGoogle ScholarPubMed
Zhou, Z, Zhou, X, Xiang, Y, et al. Subtyping of early-onset Parkinson’s disease using cluster analysis: a large cohort study. Front Aging Neurosci. 2022;14:1040293. DOI: 10.3389/fnagi.2022.1040293.CrossRefGoogle ScholarPubMed
Hu, T, Ou, R, Liu, H, et al. Gender and onset age related-differences of non-motor symptoms and quality of life in drug-naïve Parkinson’s disease. Clin Neurol Neurosurg. 2018;175:124–9. DOI: 10.1016/j.clineuro.2018.11.001.CrossRefGoogle ScholarPubMed
Bovenzi, R, Conti, M, Degoli, GR, et al. Shaping the course of early-onset Parkinson’s disease: insights from a longitudinal cohort. Neurol Sci. 2023;44:3151–9. DOI: 10.1007/s10072-023-06826-5.CrossRefGoogle ScholarPubMed
Guo, X, Song, W, Chen, K, et al. Gender and onset age-related features of non-motor symptoms of patients with Parkinson’s disease--a study from Southwest China. Parkinsonism Relat Disord. 2013;19:961–5. DOI: 10.1016/j.parkreldis.2013.06.009.CrossRefGoogle ScholarPubMed