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Life expectancy of children in a persistent vegetative state
S Ashwal1, R K Eyman, T L Call
1Department of Pediatrics, Loma Linda University School of Medicine, CA 92350.
Pediatric Neurology
|February 1, 1994
Summary
Children in persistent vegetative state (PVS) have shortened lifespans. Survival is influenced by age, with older children living longer. Etiology and residence type also impact survival rates for PVS patients.
Area of Science:
- Neurology
- Pediatrics
- Public Health
Background:
- Persistent vegetative state (PVS) is characterized by wakeful unconsciousness with preserved autonomic functions.
- Limited data exists on the lifespan of children diagnosed with PVS.
- Understanding factors influencing survival is crucial for patient care and resource allocation.
Purpose of the Study:
- To examine the survival duration of children residing in California with PVS.
- To determine the impact of age, etiology, and type of residence on PVS patient survival.
- To provide accurate survival data for pediatric PVS cases.
Main Methods:
- Retrospective review of 155,851 developmentally disabled California residents' data using the Client Development Evaluation Report (CDER).
- Identified 847 patients meeting specific PVS criteria (lack of interaction, sensory/language function, motor skills, and continence).
- Employed a product limit survival model to analyze survival curves and median survival times.
Main Results:
- Median survival varied significantly by age group, increasing with age (e.g., <1 year: 2.6 years, >=19 years: 9.9 years).
- Etiology showed variable median survival (3.0-8.6 years) without a clear correlation to duration.
- For patients under 18, median survival differed by residence: own home (4.5 yrs), institutions (5.2 yrs), skilled nursing/private hospital (3.2 yrs), and other community facilities (3.7 yrs).
Conclusions:
- Age is a significant factor in survival for children with PVS, with older age associated with longer survival.
- While etiology and residence type influence survival, their impact is less consistent than age.
- Findings highlight the need for individualized prognoses and care planning based on patient demographics and living situation.