↓ Skip to main content

Procalcitonin as an early predictor of acute infection in hemodialysis patients.

Overview of attention for article published in Nefrología, May 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Procalcitonin as an early predictor of acute infection in hemodialysis patients.
Published in
Nefrología, May 2014
DOI 10.3265/nefrologia.pre2014.mar.12313
Pubmed ID
Authors

Borja Quiroga, Maite Villaverde, Almudena Vega, Soraya Abad, Javier Reque, Juan M López-Gómez

Abstract

Background and aims: Hemodialysis patients have a greater risk of infection than individuals not on dialysis. Procalcitonin has been shown to rise in bacterial from but widely studied in hemodialysis patients. The present study evaluates procalcitonin as an early predictor of infection in this population. Methods: A historical cohorts study was made of 211 prevalent hemodialysis patients (median age 73 years [range 60-80], 58% males) covering the period 2005-2012. Serum samples were thawed and patients were followed-up on for 40±25 months (0-84). Demographic and laboratory test (including inflammatory values) data were recorded at baseline. During follow-up, all infections were documented and analyzed. Results: During follow-up, 112 patients (53.3%) suffered acute infection. A positive correlation was established for procalcitonin and C-reactive protein (σ=0.482, p<0.0001). Procalcitonin was the only inflammatory marker capable of predicting infection at one month (p=0.023) in a model with all the studied inflammatory markers. C-reactive protein was the best predictor of infection over global follow-up (p=0.003), after adjusting for all the studied factors. Conclusions: Procalcitonin is an early predictor of infection in the first 30 days in hemodialysis patients. However, in relation to the long-term prognosis, C-reactive protein is the most important independent predictor of infection.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 5%
Brazil 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 20%
Professor > Associate Professor 3 15%
Student > Master 3 15%
Other 2 10%
Student > Bachelor 1 5%
Other 4 20%
Unknown 3 15%
Readers by discipline Count As %
Medicine and Dentistry 14 70%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Unknown 4 20%