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Parkinson's institutionalisation risk 37.2% by 10 years; older age, motor severity, cognition predictParkinson's Risk Factors Predict Nursing Home Placement

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Key Takeaway
Consider using age, motor severity, and cognition to identify Parkinson's patients at higher institutionalisation risk.

This meta-analysis pooled data from European incidence cohorts to quantify the risk of institutionalisation in people with Parkinson's (PwP) and to identify predictors. The analysis included 1046 participants with up to 10 years of follow-up.

The cumulative incidence of institutionalisation by 10 years was 37.2%, with incidence rates ranging from 1.7 to 6.2 per 100 person-years. Key predictors of higher risk included older age, higher MDS-UPDRS part 3 (motor examination) scores, and lower MMSE (cognitive) scores.

Prognostic models showed moderate discrimination, with C-statistics ranging from 0.73 to 0.81 for 10-year prediction and 0.71 to 0.84 for 7-year prediction. However, calibration was imperfect, with under- and over-prediction across studies before recalibration, limiting immediate clinical application.

The authors recommend further validation before applying these models in other settings. The findings underscore the importance of motor and cognitive status in long-term care planning for Parkinson's disease, but the observational nature of the data precludes causal conclusions.

How this fits prior evidence

This meta-analysis extends prior coverage on Parkinson's disease by focusing on long-term care outcomes rather than symptom improvement. While prior items highlighted interventions like wearable devices, mindfulness-based exercise, and FMT for motor or daily function, this analysis addresses a gap by quantifying institutionalisation risk and its predictors. The finding that older age, motor severity, and cognitive impairment predict institutionalisation complements earlier work on motor symptom management, suggesting that non-pharmacological and pharmacological approaches may influence long-term care needs. It also contrasts with the positive intervention effects reported previously, emphasizing the progressive nature of the disease.

A new analysis of European studies looked at how often people with Parkinson's disease end up in a nursing home or other long-term care facility. The researchers combined data from several incidence cohorts, including 1,046 people with Parkinson's. They followed these individuals for up to 10 years to see who became institutionalized.

The findings show that by 10 years after diagnosis, about 37.2% of people with Parkinson's had entered a nursing home. That translates to an incidence rate of 1.7 to 6.2 per 100 person-years. In simpler terms, the risk is substantial over a decade.

Three factors stood out as strong predictors of institutionalization: older age, more severe motor symptoms (measured by the MDS-UPDRS part 3 score), and lower scores on a cognitive test (MMSE). The researchers built a model using these factors, and it performed reasonably well at predicting who would need care, with accuracy scores (C-statistics) ranging from 0.73 to 0.81 for 10-year predictions and 0.71 to 0.84 for 7-year predictions.

However, the model's calibration was not perfect, meaning it sometimes over- or under-predicted risk in different studies. The authors stress that the model needs further validation before it can be used in everyday clinical practice. For now, this research highlights which Parkinson's patients might need extra support and planning, but it does not provide a definitive tool for individual predictions.

What this means for you:
About 37% of people with Parkinson's enter a nursing home within 10 years; older age, worse motor symptoms, and lower cognitive scores raise the risk.

Common questions

What percentage of people with Parkinson's end up in a nursing home?

According to this analysis, about 37.2% of people with Parkinson's enter a nursing home or similar facility within 10 years of diagnosis. This was based on data from 1,046 people in European studies.

What factors increase the risk of needing nursing home care in Parkinson's?

The study found that older age, higher scores on the MDS-UPDRS part 3 (which measures motor symptoms), and lower scores on the MMSE (a cognitive test) were associated with a higher risk of institutionalization.

How accurate is the model at predicting nursing home placement?

The model's accuracy, measured by C-statistics, ranged from 0.73 to 0.81 for 10-year predictions and 0.71 to 0.84 for 7-year predictions. However, calibration was not perfect, so the model needs further validation before it can be used in clinical practice.

Study Details

Study typeMeta analysis
EvidenceLevel 1
Follow-up84.0 mo
PublishedAug 2026
View Original Abstract ↓
BACKGROUND: People with Parkinson's (PwP) who lose independence may need care in nursing homes or similar institutions if home care is insufficient. Institutionalisation has major social and financial implications. Better understanding of which PwP are most likely to be institutionalised would improve information provision, clinical risk stratification, and healthcare planning. OBJECTIVES: To identify risk factors for institutionalisation in PwP and develop models predicting individual institutionalisation risk. METHODS: We described institutionalisation in the Parkinson's Incidence Cohorts Collaboration, comprising 6 European incidence cohorts. We identified prognostic factors by two-stage individual-participant-data meta-analysis. Prognostic models predicting risk of institutionalisation within 7 years and 10 years were developed using the Royston-Parmar model. Heterogeneity in model performance was assessed using internal-external cross validation (IECV). RESULTS: In 1046 PwP, the cumulative incidence of institutionalisation by 10 years was 37.2%. The incidence rate ranged from 1.7 to 6.2 per 100 person-years. Older age, higher MDS-UPDRS part 3 and lower MMSE at baseline independently predicted higher institutionalisation risk. IECV showed good discrimination in the 10-year (C-statistics 0.73-0.81) and 7-year (0.71-0.84) models. However, calibration (agreement between predictions and observed outcomes) showed under- and over-prediction across studies. After updating model intercept and coefficients (recalibration), the calibration improved. CONCLUSION: 37% of PwP entered institutional care within ten years from diagnosis. Older age, higher MDS-UPDRS part 3 and lower MMSE predicted institutionalisation. The prognostic models discriminated well, but calibration varied between cohorts. We recommend further validation before applying the models in other settings.
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