Abstract
Summary of the paper: The text discusses the significant impact of non-motor symptoms on the quality of life (QoL) of patients with Parkinson’s disease (PD), emphasizing the role of nutritional status. The Non-Motor Symptoms Scale (NNMS) evaluates QoL across various domains, including nutrition, which is crucial due to common issues like dysphagia leading to malnutrition and sarcopenia. These nutritional problems exacerbate motor deficits by reducing muscle mass and energy levels. Addressing dysphagia through targeted nutritional programs is essential for improving clinical outcomes and patients' QoL. A case study involving an 84-year-old PD patient with dysphagia and the Tower of Pisa Syndrome demonstrated the effectiveness of the 'Weancare' program. Initial assessments indicated poor nutritional status. Post-intervention, the program showed significant improvement in the patient’s non-motor symptoms and overall QoL, highlighting a better mealtime experience and clinical health
References
global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol, 2019. 18(5): p. 459-480. DOI: 10.1016/s1474-4422(18)30499-x
Blauwendraat, C., M.A. Nalls, and A.B. Singleton, The genetic architecture of Parkinson's disease. Lancet Neurol, 2020. 19(2): p. 170-178. DOI: 10.1016/s1474-4422(19)30287-x
Beswick, E., et al., Non-motor symptoms in motor neuron disease: prevalence, assessment and impact. Brain Communications, 2023. 6(1). DOI: 10.1093/braincomms/fcad336 https://doi.org/10.1093/braincomms/fcad336
Chaudhuri, K.R., D.G. Healy, and A.H. Schapira, Non-motor symptoms of Parkinson's disease: diagnosis and management. Lancet Neurol, 2006. 5(3): p. 235-45. DOI: 10.1016/s1474-4422(06)70373-8
Pinessi, L., S. Gentile, and I. Rainero, Neurology Book-Neuroanatomofisiologia e semeiotica neurologica-Neurological anatomy, physiology and semiology. 2012.
Kuhlman, G.D., et al., Predictors of health-related quality of life in Parkinson's disease. Parkinsonism & Related Disorders, 2019. 65: p. 86-90. DOI: https://doi.org/10.1016/j.parkreldis.2019.05.009
Sardar, Z., et al., Non-Motor Symptoms Burden in Early Stages of Parkinson's Disease. Ann Indian Acad Neurol, 2023. 26(1): p. 39-43. PMCID: PMC10081544 DOI: 10.4103/aian.aian_483_22
Burgos, R., et al., ESPEN guideline clinical nutrition in neurology. Clin Nutr, 2018. 37(1): p. 354-396. DOI: 10.1016/j.clnu.2017.09.003
Curtis, J.A., S. Molfenter, and M.S. Troche, Predictors of Residue and Airway Invasion in Parkinson's Disease. Dysphagia, 2020. 35(2): p. 220-230. PMCID: PMC8711115 DOI: 10.1007/s00455-019-10014-z
Fall, P.A., et al., Survival time, mortality, and cause of death in elderly patients with Parkinson's disease: a 9-year follow-up. Mov Disord, 2003. 18(11): p. 1312-6. DOI: 10.1002/mds.10537
Ryu, D.W., K. Han, and A.H. Cho, Mortality and causes of death in patients with Parkinson's disease: a nationwide population-based cohort study. Front Neurol, 2023. 14: p. 1236296. PMCID: PMC10501780 DOI: 10.3389/fneur.2023.1236296
Barker, L.A., B.S. Gout, and T.C. Crowe, Hospital malnutrition: prevalence, identification and impact on patients and the healthcare system. Int J Environ Res Public Health, 2011. 8(2): p. 514-27. PMCID: PMC3084475 DOI: 10.3390/ijerph8020514
Hart, A., et al., The prevalence of sarcopenia in Parkinson’s disease and related disorders- a systematic review. Neurological Sciences, 2023. 44(12): p. 4205-4217. DOI: 10.1007/s10072-023-07007-0 https://doi.org/10.1007/s10072-023-07007-0
Cova, I., et al., Validation of the Italian version of the Non Motor Symptoms Scale for Parkinson's disease. Parkinsonism Relat Disord, 2017. 34: p. 38-42. DOI: 10.1016/j.parkreldis.2016.10.020
Bagnasco, A., et al., Preliminary testing using Mokken scaling of an Italian translation of the Edinburgh Feeding Evaluation in Dementia (EdFED-I) scale. Applied Nursing Research, 2015. 28(4): p. 391-396. DOI: https://doi.org/10.1016/j.apnr.2015.02.003
Zanini, M., et al., The WeanCare nutritional intervention in institutionalized dysphagic older people and its impact on nursing workload and costs: A quasi-experimental study. J Nurs Manag, 2021. 29(8): p. 2620-2629. PMCID: PMC9292428 DOI: 10.1111/jonm.13435
Zanini, M.P., et al., A Dedicated Nutritional Care Program (NUTRICARE) to reduce malnutrition in institutionalised dysphagic older people: A quasi‐experimental study. Journal of Clinical Nursing, 2017. 26: p. 4446–4455.
Di Nitto, M., Sollazzo, F., Biagioli, V., Pucciarelli, G., Torino, F., Alvaro, R., & Vellone, E. (2022). Self-care behaviors in patients with cancer treated with oral anticancer agents: a systematic review. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 30(10), 8465–8483. https://doi.org/10.1007/s00520-022-07166-4
Barone, P., et al., Pisa syndrome in Parkinson's disease and parkinsonism: clinical features, pathophysiology, and treatment. Lancet Neurol, 2016. 15(10): p. 1063-74. DOI: 10.1016/s1474-4422(16)30173-9
Buffa, R., et al., Lower lean mass and higher percent fat mass in patients with Alzheimer's disease. Exp Gerontol, 2014. 58: p. 30-3. DOI: 10.1016/j.exger.2014.07.005
Aldobali, M. and K. Pal. Bioelectrical Impedance Analysis for Evaluation of Body Composition: A Review. in 2021 International Congress of Advanced Technology and Engineering (ICOTEN). 2021. DOI: 10.1109/ICOTEN52080.2021.9493494
Genton, L., et al., Association of mortality and phase angle measured by different bioelectrical impedance analysis (BIA) devices. Clinical Nutrition, 2018. 37(3): p. 1066-1069. DOI: https://doi.org/10.1016/j.clnu.2017.03.023
Kwon, Y.E., et al., Impact of sarcopenia and phase angle on mortality of the very elderly. Journal of Cachexia, Sarcopenia and Muscle, 2023. 14(1): p. 279-287. DOI: https://doi.org/10.1002/jcsm.13128
Norman, K., C. Herpich, and U. Müller-Werdan, Role of phase angle in older adults with focus on the geriatric syndromes sarcopenia and frailty. Reviews in Endocrine and Metabolic Disorders, 2023. 24(3): p. 429-437. DOI: 10.1007/s11154-022-09772-3 https://doi.org/10.1007/s11154-022-09772-3
Akamatsu, Y., et al., Phase angle from bioelectrical impedance analysis is a useful indicator of muscle quality. J Cachexia Sarcopenia Muscle, 2022. 13(1): p. 180-189. PMCID: PMC8818694 DOI: 10.1002/jcsm.12860
Arieta, L.R., et al., Segmental bioelectrical impedance spectroscopy: A novel field assessment of muscle size and quality in normal weight and obese older men. Exp Gerontol, 2022. 162: p. 111745. DOI: 10.1016/j.exger.2022.111745