Cargando…
Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil
Patients submitted to hemodialysis are at a high risk for healthcare-associated infections (HAI). Presently there are scarce data to allow benchmarking of HAI rates in developing countries. Also, most studies focus only on bloodstream infections (BSI) or local access infections (LAI). Our study aime...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427539/ https://www.ncbi.nlm.nih.gov/pubmed/24275375 http://dx.doi.org/10.1016/j.bjid.2013.10.001 |
_version_ | 1784778927524282368 |
---|---|
author | de Albuquerque, Silvia Eduara Kennerly Cavalcante, Ricardo de Souza Ponce, Daniela Fortaleza, Carlos Magno Castelo Branco |
author_facet | de Albuquerque, Silvia Eduara Kennerly Cavalcante, Ricardo de Souza Ponce, Daniela Fortaleza, Carlos Magno Castelo Branco |
author_sort | de Albuquerque, Silvia Eduara Kennerly |
collection | PubMed |
description | Patients submitted to hemodialysis are at a high risk for healthcare-associated infections (HAI). Presently there are scarce data to allow benchmarking of HAI rates in developing countries. Also, most studies focus only on bloodstream infections (BSI) or local access infections (LAI). Our study aimed to provide a wide overview of HAI epidemiology in a hemodialysis unit in southeastern Brazil. We present data from prospective surveillance carried out from March 2010 through May 2012. Rates were compared (mid-p exact test) and temporally analyzed in Shewhart control charts for Poisson distributions. The overall incidence of BSI was 1.12 per 1000 access-days. The rate was higher for patients performing dialysis through central venous catheters (CVC), either temporary (RR = 13.35, 95% CI = 6.68–26.95) or permanent (RR = 2.10, 95% CI = 1.09–4.13), as compared to those with arteriovenous fistula. Control charts identified a BSI outbreak caused by Pseudomonas aeruginosa in April 2010. LAI incidence was 3.80 per 1000 access-days. Incidence rates for other HAI (per 1000 patients-day) were as follows: upper respiratory infections, 1.72; pneumonia, 1.35; urinary tract infections, 1.25; skin/soft tissues infections, 0.93. The data point out to the usefulness of applying methods commonly used in hospital-based surveillance for hemodialysis units. |
format | Online Article Text |
id | pubmed-9427539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94275392022-09-01 Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil de Albuquerque, Silvia Eduara Kennerly Cavalcante, Ricardo de Souza Ponce, Daniela Fortaleza, Carlos Magno Castelo Branco Braz J Infect Dis Brief Communication Patients submitted to hemodialysis are at a high risk for healthcare-associated infections (HAI). Presently there are scarce data to allow benchmarking of HAI rates in developing countries. Also, most studies focus only on bloodstream infections (BSI) or local access infections (LAI). Our study aimed to provide a wide overview of HAI epidemiology in a hemodialysis unit in southeastern Brazil. We present data from prospective surveillance carried out from March 2010 through May 2012. Rates were compared (mid-p exact test) and temporally analyzed in Shewhart control charts for Poisson distributions. The overall incidence of BSI was 1.12 per 1000 access-days. The rate was higher for patients performing dialysis through central venous catheters (CVC), either temporary (RR = 13.35, 95% CI = 6.68–26.95) or permanent (RR = 2.10, 95% CI = 1.09–4.13), as compared to those with arteriovenous fistula. Control charts identified a BSI outbreak caused by Pseudomonas aeruginosa in April 2010. LAI incidence was 3.80 per 1000 access-days. Incidence rates for other HAI (per 1000 patients-day) were as follows: upper respiratory infections, 1.72; pneumonia, 1.35; urinary tract infections, 1.25; skin/soft tissues infections, 0.93. The data point out to the usefulness of applying methods commonly used in hospital-based surveillance for hemodialysis units. Elsevier 2013-11-22 /pmc/articles/PMC9427539/ /pubmed/24275375 http://dx.doi.org/10.1016/j.bjid.2013.10.001 Text en © 2013 Elsevier Editora Ltda. Este é um artigo Open Access sob a licença de CC BY-NC-ND. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Brief Communication de Albuquerque, Silvia Eduara Kennerly Cavalcante, Ricardo de Souza Ponce, Daniela Fortaleza, Carlos Magno Castelo Branco Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil |
title | Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil |
title_full | Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil |
title_fullStr | Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil |
title_full_unstemmed | Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil |
title_short | Epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern Brazil |
title_sort | epidemiology of healthcare-associated infections among patients from a hemodialysis unit in southeastern brazil |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427539/ https://www.ncbi.nlm.nih.gov/pubmed/24275375 http://dx.doi.org/10.1016/j.bjid.2013.10.001 |
work_keys_str_mv | AT dealbuquerquesilviaeduarakennerly epidemiologyofhealthcareassociatedinfectionsamongpatientsfromahemodialysisunitinsoutheasternbrazil AT cavalcantericardodesouza epidemiologyofhealthcareassociatedinfectionsamongpatientsfromahemodialysisunitinsoutheasternbrazil AT poncedaniela epidemiologyofhealthcareassociatedinfectionsamongpatientsfromahemodialysisunitinsoutheasternbrazil AT fortalezacarlosmagnocastelobranco epidemiologyofhealthcareassociatedinfectionsamongpatientsfromahemodialysisunitinsoutheasternbrazil |