Background: Systemic low-grade inflammation is thought to be associated with an increased risk of adverse clinical outcomes in elderly population. We tested this notion with the goal of identifying useful potential biomarkers of 1-year hospitalization and mortality in the elderly population.

Design: A total of 120 institutionalized older subjects were enrolled as participants in this study, including 90 women and 30 men (ranging in age from 68 to 105 years), selected from Santa Teresa nursing home (Oviedo, Spain). We studied functional status, morbidity, socio-demographic characteristics and several inflammation and inflammation-related markers.

Results: The study included 95 non-hospitalized participants and 23 participants with at least one hospitalization during 1 year (19% of subjects). The study also included 100 survivors and 19 participants who died during the 1-year study (16% of subjects). In logistic regression models adjusted by age, sex, anti-inflammatory drug use and morbid conditions, high levels of interleukin 1 receptor antagonist (IL-1ra) and red blood cell distribution width (RDW) were associated with hospitalization and death at 1 year. Elevated levels of tumour necrosis factor α (TNF-α) were also associated with an increased risk of death at 1 year after adjusting for the same potential confounders. Multivariate logistic regression models showed that elevated serum levels of IL-1ra were intimately associated with 1-year subsequent hospitalization and mortality in aged subjects after adjusting for age, sex, anti-inflammatory drug use and morbid conditions.

Conclusions: Current data suggest that IL-1ra is a predictor of 1-year hospitalization and mortality in the elderly population.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1365-2362.2012.02689.xDOI Listing

Publication Analysis

Top Keywords

hospitalization mortality
16
1-year hospitalization
12
mortality elderly
12
elderly population
12
predictor 1-year
8
associated increased
8
increased risk
8
study included
8
logistic regression
8
regression models
8

Similar Publications

Background: The anti-melanoma differentiation-associated gene 5 (anti-MDA5) antibody-positive dermatomyositis is known for its association with rapidly progressive interstitial lung disease (RP-ILD) and ulcerative skin lesions, often presenting with or without muscle involvement. The aim of this study was to identify distinct clinical and laboratory features that could be used to evaluate disease progression in an ethnically diverse cohort of anti-MDA5 dermatomyositis patients at a U.S.

View Article and Find Full Text PDF

Background: Predicting burn-related mortality is vital for family counseling, triage, and resource allocation. Several of the burn-specific mortality prediction scores have been developed, including the Abbreviated Burn Severity Index (ABSI) in 1982. However, these scores are not tested for accuracy to support contemporary estimates of the global burden of burn injury.

View Article and Find Full Text PDF

Background: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury in pediatric patients ECMO and identify key variables for future research.

Methods: Data from pediatric patients undergoing ECMO were collected from the Chinese Society of Extracorporeal Life Support (CSECLS) registry database and local hospitals.

View Article and Find Full Text PDF

Purpose: The Coronavirus Disease 2019 (COVID-19) pandemic delayed elective procedures such as total joint arthroplasty. As surgical volumes return to prepandemic levels, understanding the implications of COVID-19 becomes imperative. This study explored the effects of COVID-19 on the short-term outcomes of hip arthroplasty.

View Article and Find Full Text PDF

Background And Objective: In clinical practice, CK19 can be an important predictor for the prognosis of HCC. Due to the high incidence and mortality rates of HCC, more effective and practical prognostic prediction models need to be developed urgently.

Methods: A total of 1,168 HCC patients, who underwent radical surgery at the Guangxi Medical University Cancer Hospital, between January 2014 and July 2019, were recruited, and their clinicopathological data were collected.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!