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Serial tests of T-cell function predict long-term survival in an elderly cohort from a Scottish general practice.
- Source :
- Journal of Primary Health Care; Mar2020, Vol. 12 Issue 1, p21-28, 8p
- Publication Year :
- 2020
-
Abstract
- INTRODUCTION: The care of the elderly presents serious challenges to general practice. In 1979, the first author took over the care of a general practice in Scotland where 21% of registered patients were elderly. This resulted in a high workload and prompted research into how this might be mitigated. AIM: To measure serial tests of T-cell function in these individuals in order to identify those whose immune response was impaired and assess the effect of this in a long term follow up. METHODS: This research comprised two phases. In the assessment phase (1979–82), patients were invited to have a 3-monthly visit from a research nurse where clinical measurements were made and blood taken for immunological tests of lymphocyte proliferation after culture with phytohaemagglutinin (PHA). For each patient, all records were surveyed and problems identified. In the follow-up phase (post 1982), all deaths were assessed with complete life-long follow up. RESULTS: Of 405 people originally invited to participate in this research, 314 (78%) agreed and 246 (153 female, 93 male) entered the follow-up phase and were followed for 36.5 years. Factors significantly associated with lower survival were age, male sex, diastolic blood pressure, current smoking and poor immune function, as demonstrated by the percentage of negative responses in at least six PHA tests. Considered in four groups by percentage of failing tests, the lowest group had a life span 4 years shorter than the highest (P < 0.01). The four groups did not differ significantly in general practitioner workload, diagnosed problems or causes of death. DISCUSSION: Poor cellular immune function was associated with poor survival over lifetime follow up of >30 years. A sensitive, specific and longitudinally consistent measure of T-cell function is required to predict who may be at risk of poorer survival within our practices. [ABSTRACT FROM AUTHOR]
- Subjects :
- CONFIDENCE intervals
CAUSES of death
ELECTROCARDIOGRAPHY
FAMILY medicine
PATIENT aftercare
IMMUNOLOGY technique
LONGITUDINAL method
QUESTIONNAIRES
REGRESSION analysis
RESEARCH funding
SURVIVAL analysis (Biometry)
SURVIVAL
T cells
BODY mass index
INDEPENDENT living
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 11726164
- Volume :
- 12
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Primary Health Care
- Publication Type :
- Academic Journal
- Accession number :
- 142455660
- Full Text :
- https://doi.org/10.1071/HC19079