Inverted CD4:CD8 Ratio is Not Associated with Three-year Mortality in a Sample of Community-dwelling Oldest Old: the OCTABAIX Immune Study

Overview

Journal J Nutr Health Aging

Specialties Geriatrics
Nutritional Sciences

Date 2014 Mar 29

PMID 24676325

Citations 5

Authors

F Formiga

A Ferrer

G Padros

A Cintra

R Pujol

Affiliations

Soon will be listed here.

Abstract

Background: The presence of an immune risk phenotype (IRP) has been correlated with survival rates in elderly people.

Objective: To determine whether an inverted CD4:CD8 ratio might be a marker of IRP in a sample of oldest old by assessing its relationship with mortality.

Design: Prospective cohort study.

Setting: Community-based survey study of seven primary healthcare centres.

Participants: 328 people born in 1924 and registered with primary healthcare centres.

Measurements: Chronic drug prescription, functional status (Barthel and Lawton indexes) and cognitive status (Spanish version of the Mini-Mental State Examination) were recorded. CD4:CD8 ratios were determined, with a ratio of 1.00 or less being used to define IRP.

Results: The CD4:CD8 ratio was 1.00 or less in 47 subjects (15.6%). After three years, 51 subjects had died (16.3%); 9 were from among the 47 (19.1%) with an inverted CD4:CD8 ratio and 42 (15.8%) from the remainder (P=0.52). Multivariate analysis identified two significant clinical variables (Lawton Index scores and the number of chronic drugs prescribed) as being independent predictors of three-year mortality risk in this cohort of octogenarians. This risk profile did not change when introducing the CD4:CD8 ratio into the calculation.

Conclusion: In this community-dwelling population of oldest old (85 years old at baseline) an inverted CD4:CD8 ratio was not associated with three-year mortality.

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Evidence of functional declining and global comorbidity measured at baseline proved to be the strongest predictors for long-term death in elderly community residents aged 85 years: a 5-year follow-up evaluation, the OCTABAIX study.

Formiga F, Ferrer A, Padros G, Montero A, Gimenez-Argente C, Corbella X Clin Interv Aging. 2016; 11:437-44.

PMID: 27143867 PMC: 4841391. DOI: 10.2147/CIA.S101447.

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