Weight loss and weight gain in Parkinson disease

Impact of weight loss for depressive symptom in mid-stage patients with Parkinson's disease: a 4-year follow-up study

Introduction

Weight loss is one of the non-motor symptoms frequently seen in patients with Parkinson's disease (PwPD). Weight loss in PwPD is known to be negatively associated with motor and other non-motor symptoms and has been shown to influence the prognosis of PD. In this study, we followed weight change over a 4-year period in PwPD at a single institution and investigated the relationship between weight change and patients' motor and non-motor symptoms.

Methods

PwPD who visited our hospital from January 2018 to December 2022 were enrolled. Body weights were measured at two points in 2018 (at the start of observation, 'baseline') and 2022 (at the end of observation, 'end date'). In addition, motor symptoms, disease severity, cognitive function, and psychiatric symptoms were evaluated during the same period, and the relationship with weight loss was examined.

Results

Data of 96 PwPD were available for a 4-year follow-up. At baseline, the mean age was 65.7 ± 10.0 years, the mean disease duration was 6.8 ± 4.0 years, and the mean Hoehn and Yahr stage was 2.4 ± 0.7. Among them, 48 patients (50.0%) had a weight loss of ≥5% from baseline (weight loss group; mean loss was 6.6 ± 2.9 kg). The weight loss group was older (p = 0.031), had a lower Mini-Mental State Examination (MMSE) at baseline (p = 0.019), a significantly lower body mass index (p < 0.001), and a higher Zung Self-Rating Depression Scale (SDS) (p = 0.017) at the end date. There was a negative correlation (γ = -0.349, p < 0.001) between weight change and age, a positive correlation (γ = 0.308, p = 0.002) between weight change and MMSE at baseline, and a negative correlation (γ = -0.353, p < 0.001) between weight change and SDS at the end date. Age-adjusted correlations showed a final negative correlation (γ = -0.331, p = 0.001) between weight change and SDS. MMSE and age-adjusted correlations showed a low negative correlation (γ = -0.333, p = 0.001) between weight change and SDS at the end date.

Conclusion

Weight loss in PwPD in mid-stage was more likely with increasing age, and ≥ 5% weight loss was associated with worsening depression. Further research is needed regarding the significance of weight loss in PwPD.

Weight loss in Parkinson's disease: A retrospective comparison between oral medication and device-assisted therapies

OBJECTIVE

Weight loss (WL) is the most common symptom among patients with Parkinson's disease (PD) and has been reported to start several years before the diagnosis of PD. The relationship between WL and PD treatment is complex. This study aimed to characterize the impact of PD treatment on WL and find clues to establish the administration of nutrition for patients with PD.

MATERIALS AND METHODS

Eighty-two patients with PD (mean age, 58.4 ± 10.2 years; mean Hoehn and Yahr stage, 3.2 ± 0.7) were recruited. Their treatments included deep brain stimulation (DBS) therapy (n = 34), levodopa/carbidopa intestinal gel (LCIG) therapy (n = 13), and oral medication alone (n = 35). Based on the medical records, the age of onset, disease duration, treatment options, videofluoroscopic dysphagia scale, blood test results, and weight change were collected.

RESULTS

The median WL per year and rate of WL were -1.0 ± 2.8 kg and -1.9 ± 4.7 %, respectively. Most patients (93 %) were classified into normal nutrition and mild malnutrition groups by their CONUT scores. The median WL of the DBS group was significantly lower than that of the oral medication alone group (p < 0.01). The rate of WL showed a significant negative correlation with the age of onset (rho = -0.328, p = 0.003), but showed a significant positive correlation with the disease duration (rho = 0.231, p = 0.04).

CONCLUSION

These results highlighted WL in the early stages of PD and suggested the need for adequate monitoring for patients undergoing device-aided therapy as well as oral medicine-treated patients with greater WL.

U.S. Tax Credits to Promote Practical Proactive Preventative Care for Parkinson's Disease

Persons with Parkinson's disease (PD) and society at large can profit from a strategic investment into a forward leaning, practical, preventative, and proactive multidisciplinary care policy. The American healthcare system is not easily bent to accommodate this type of care, and thus a tax benefit is an attractive option. An individual federal income tax benefit of $6200 each year for every person residing in the US with a diagnosis of PD, could among other offerings provide monthly access to a licensed clinical social worker and access to mental health services. The implementation of more coordinated care has the potential reduce the burden of depression, anxiety, and demoralization. Personal training would also be covered and directed by physical and occupational therapists. The combination of home-based and telemedicine services would have the added benefit of improving access. The tax benefit would also provide access to a dietician. This type of care strategy could be designed to proactively identify early signs of aspiration and urinary tract infections to 'head off' significant morbidity. A $6200/year individual tax benefit for those diagnosed with PD will thus translate into more fall prevention, more care in the home setting, less hospitalizations, less depression, less anxiety, less demoralization, better diets, and less persons placed in nursing facilities. Additionally, this tax benefit will provide the potential for billions of dollars in savings to the healthcare system. A tax benefit for PD is a practical preventative and proactive strategy which can serve to advantage both this generation and the next.

Weight and survival after deep brain stimulation for Parkinson's disease

BACKGROUND

Weight loss in Parkinson's disease (PD) is common and associated with increased mortality. The clinical significance of weight changes following deep brain stimulation (DBS) of the subthalamic nucleus (STN) and globus pallidus internus (GPi) is unclear.

OBJECTIVES

To address (1) whether PD patients exhibit progressive weight loss, (2) whether staged DBS surgery is associated with weight changes, and (3) whether survival after DBS correlates with post-DBS weight.

METHODS

This is a single-center, longitudinal, retrospective cohort study of 1625 PD patients. We examined trends in weight over time and the relationship between weight and years survival after DBS using regression and mixed model analyses.

RESULTS

There was a decline in body weight predating motor symptom onset (n = 756, 0.70 ± 0.03% decrease per year, p < 0.001). Weight decline accelerated in the decade preceding death (n = 456, 2.18 ± 0.31% decrease per year, p < 0.001). DBS patients showed a weight increase of 2.0 ± 0.33% at 1 year following the first DBS lead implant (n = 455) and 2.68 ± 1.1% at 3 years if a contralateral DBS lead was placed (n = 249). The bilateral STN DBS group gained the most weight after surgery during 6 years of follow up (vs bilateral GPi, 3.03 ± 0.45% vs 1.89 ± 0.31%, p < 0.01). An analysis of the DBS cohort with date of death available (n = 72) revealed that post-DBS weight (0-12 months after the first or 0-36 months after the second surgery) was positively associated with survival (R2 = 0.14, p < 0.001).

DISCUSSION

Though PD is associated with significant weight loss, DBS patients gained weight following surgery. Higher post-operative weight was associated with increased survival. These results should be replicated in other cohorts.

Machine-learning prediction of BMI change among doctors and nurses in North China during the COVID-19 pandemic

Objective

The COVID-19 pandemic has become a major public health concern over the past 3 years, leading to adverse effects on front-line healthcare workers. This study aimed to develop a Body Mass Index (BMI) change prediction model among doctors and nurses in North China during the COVID-19 pandemic, and further identified the predicting effects of lifestyles, sleep quality, work-related conditions, and personality traits on BMI change.

Methods

The present study was a cross-sectional study conducted in North China, during May-August 2022. A total of 5,400 doctors and nurses were randomly recruited from 39 COVID-19 designated hospitals and 5,271 participants provided valid responses. Participants' data related to social-demographics, dietary behavior, lifestyle, sleep, personality, and work-related conflicts were collected with questionnaires. Deep Neural Network (DNN) was applied to develop a BMI change prediction model among doctors and nurses during the COVID-19 pandemic.

Results

Of participants, only 2,216 (42.0%) individuals kept a stable BMI. Results showed that personality traits, dietary behaviors, lifestyles, sleep quality, burnout, and work-related conditions had effects on the BMI change among doctors and nurses. The prediction model for BMI change was developed with a 33-26-20-1 network framework. The DNN model achieved high prediction efficacy, and values of R ², MAE, MSE, and RMSE for the model were 0.940, 0.027, 0.002, and 0.038, respectively. Among doctors and nurses, the top five predictors in the BMI change prediction model were unbalanced nutritional diet, poor sleep quality, work-family conflict, lack of exercise, and soft drinks consumption.

Conclusion

During the COVID-19 pandemic, BMI change was highly prevalent among doctors and nurses in North China. Machine learning models can provide an automated identification mechanism for the prediction of BMI change. Personality traits, dietary behaviors, lifestyles, sleep quality, burnout, and work-related conditions have contributed to the BMI change prediction. Integrated treatment measures should be taken in the management of weight and BMI by policymakers, hospital administrators, and healthcare workers.

Association of Early Weight Change With Cognitive Decline in Patients With Parkinson Disease

BACKGROUND AND OBJECTIVE

To examine whether early weight change is associated with subsequent deterioration in cognitive function, including overall performance and specific domains, in Parkinson disease (PD).

METHODS

This observational study used data from the Parkinson Progression Markers Initiative cohort. The patients underwent annual nonmotor assessments covering neuropsychiatric, sleep-related, and autonomic symptoms for up to 8 years of follow-up. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) and detailed neuropsychological testing. Linear mixed-effects models were applied to investigate the association of early weight change with longitudinal evolution of cognitive and other nonmotor symptoms.

RESULTS

A total of 358 patients with early PD were classified into weight loss (decrease of >3% body weight during the first year; n = 98), weight maintenance (within ±3%; n = 201), and weight gain (increase of >3%; n = 59) groups. The weight loss group showed a significantly faster decline in MoCA scores than the weight maintenance group (β = -0.19, 95% CI -0.28 to -0.10). With respect to specific cognitive domains, the weight loss group showed a steeper decline in sematic fluency test scores (β = -0.37, 95% CI -0.66 to -0.08) and MoCA phonemic fluency scores (β = -0.18, 95% CI -0.31 to -0.05) and, to a lesser extent, Letter-Number Sequencing scores (β = -0.07, 95% CI -0.14 to 0.01) compared with the weight maintenance group. Conversely, the weight gain group showed a slower decline in the Symbol Digit Modalities Test scores (β = 0.34, 95% CI 0.05 to 0.63), although no association was found with longitudinal changes in MoCA scores. We did not find any significant effects of weight change on the progression of other nonmotor symptoms.

DISCUSSION

Early weight loss was associated with a faster progression of decline in global cognitive function and executive function in patients with PD, whereas early weight gain was associated with a slower progression of decline in processing speed and attention. The impact of early weight change on nonmotor symptoms seemed to be specific to cognition.