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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
[The correlation between nutritional status, body composition, and symptoms in Parkinson's disease patients]
Q J Ling1, X Y Cheng1, M L Chen1
1Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Abstract:
Objective: To investigate the relationship between nutritional status, body composition and symptoms of Parkinson's disease (PD). Methods: The study was conducted among 102 PD patients between November 2020 to April 2021 in the outpatient and inpatient of Neurology department of the Second Affiliated Hospital of Suzhou University. Basic data, such as age, gender, course of disease and Hoehn-Yahr (H-Y) stage of the patients, were collected. In the "open" state, the Unified Parkinson's Disease Rating Scale (UPDRS) and other scales were used to evaluate the clinical symptoms of PD patients. The nutritional status of PD patients was evaluated by the micro-nutrition rating Scale (MNA), and the body composition data of PD patients was measured by the body composition analyzer.The patients were divided into three groups according to the MNA: well-nourished group(45 cases), malnutrition-risk group (43 cases)and malnutrition group(14 cases). Body composition, laboratory tests, bone density, and symptoms of PD were compared among the three groups. Results: Among 102 PD patients, 48 were males (47.1%) and 54 were females (52.9%), aged 42-86 (66±9) years old. Compared with the malnutrition-risk group, lymphocytes in the malnutrition group [(1.45±0.48) × 109/L vs (1.76±0.43)×109/L], uric acid [(227±54) μmol/L vs (282±63) μmol/L] were all low, and the difference was statistically significant (all P<0.05). Compared with the well-nourished group, hemoglobin [(125±17) g/L vs (136±14) g/L], prealbumin [(0.23±0.05) g/L vs (0.27±0.06) g/L], and uric acid [(227±54) μmol/L vs (312±76) μmol/L] and Retinol binding protein [(33±7) mg/L were lower than (39±10) mg/L] in the malnutrition group, the difference was statistically significant (P<0.05). Except for the visceral fat area and body fat percentages, there was no significant difference in body composition indexes and bone mineral density T-value between the malnutrition-risk and malnutrition groups (P<0.05). Compared with the well-nourished group, the body fat [(16±6) kg vs (20±6) kg], the percentage of body fat [(26±9)% vs (29±7)%], the waist-hip ratio [(0.86±0.05) vs (0.89±0.05)], and the upper arm circumference [(29.00±2.59) cm vs (30.74±2.75) cm] in the malnutrition risk group were lower, and the difference was statistically significant (P<0.05). There were statistically significant differences in all body composition indicators and T-values of bone density between the malnourished and well nourished groups (all P<0.05). The MNA score of PD patients was negatively correlated with UPDRS Ⅰ, UPDRS Ⅱ, and UPDRS Ⅳ scores (r=-0.347, -0.364, -0.303, all P<0.05); Body composition indicators: total body water and inorganic salts were negatively correlated with UPDRS-I (r=-0.206, -0.223, all P<0.05), and body fat was negatively correlated with levodopa Equivalent dose (LED) (r=-0.209, P<0.05) Conclusions: The malnutrition risk and incidence of malnutrition in PD patients are high; lymphocyte, uric acid, hemoglobin, Retinol binding protein, body composition and bone mineral density were low in malnutrition group. MNA score of PD patients was negatively correlated with Parkinson's disease symptoms.
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