Loading…
Seasonal variation of hospital-acquired bloodstream infections: A national cohort study
Hospital-acquired bloodstream infections (HABSIs) cause increased morbidity, mortality, and hospital costs that are partially preventable. HABSI seasonality has been described for gram-negative bacteria but has not been stratified per infection origin. To assess seasonality among all types of HABSIs...
Saved in:
Published in: | Infection control and hospital epidemiology 2022-02, Vol.43 (2), p.205-211 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013 |
---|---|
cites | cdi_FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013 |
container_end_page | 211 |
container_issue | 2 |
container_start_page | 205 |
container_title | Infection control and hospital epidemiology |
container_volume | 43 |
creator | Blot, Koen Hammami, Naïma Blot, Stijn Vogelaers, Dirk Lambert, Marie-Laurence |
description | Hospital-acquired bloodstream infections (HABSIs) cause increased morbidity, mortality, and hospital costs that are partially preventable. HABSI seasonality has been described for gram-negative bacteria but has not been stratified per infection origin.
To assess seasonality among all types of HABSIs and their associations with climate.
Hospitals performing surveillance for at least 1 full calendar year between 2000 and 2014 were included. Mixed-effects negative binomial regression analysis calculated the peak-to-low monthly ratio as an adjusted HABSI incidence rate ratio (IRR) with 95% confidence intervals (CIs). Another regression model examined associations between HABSI rates and climate variables. These analyses were stratified by microorganism and infectious origin.
The study population included 104 hospitals comprising 44,111 HABSIs. Regression analysis identified an incidence rate ratio (IRR) peak in August for gram-negative HABSIs (IRR, 1.59; 95% CI, 1.49-1.71), CLABSIs (IRR, 1.49; 95% CI, 1.30-1.70), and urinary tract HABSI (IRR, 1.52; 95% CI, 1.34-1.74). The gram-negative incidence increased by 13.1% (95% CI, 9.9%-16.4%) for every 5°C increase in temperature. Seasonality was most present among E. coli, K. pneumoniae, E. cloacae, and the nonfermenters. Gram-positive and pulmonary HABSIs did not demonstrate seasonal variation.
Seasonality with summer spikes occurred among gram-negative bacteria, CLABSIs, and urinary tract HABSIs. Higher ambient temperature was associated with gram-negative HABSI rates. The preventable causative factors for seasonality, such as the nurse-to-patient ratio, indoor room temperature or device-utilization, need to be examined to assess areas for improving patient safety. |
doi_str_mv | 10.1017/ice.2021.85 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2526151207</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2758513081</sourcerecordid><originalsourceid>FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013</originalsourceid><addsrcrecordid>eNpdkM1LwzAYh4Mobk5P3iXgRZDOfDRN4m0Mv2DgQUVv4W2bso6umUkr7L83ddODp0B43ocfD0LnlEwpofKmLuyUEUanShygMRVCJ5ni6SEaE6V1ohj_GKGTEFaEEKk1PUYjzrUUWabG6P3FQnAtNPgLfA1d7VrsKrx0YVN30CRQfPa1tyXOG-fK0HkLa1y3lS0GNNziGW5_rqKhcEvnOxy6vtyeoqMKmmDP9u8Evd3fvc4fk8Xzw9N8tkgKLtIuDtUlBSFBs0LSKs4DyxXTSqdcURq_AGwKlOeVyFnFmLVcEuCME2IJoXyCrnbejXefvQ2dWdehsE0DrXV9MEywjArKiIzo5T905Xofh0dKCiUoJ2oQXu-owrsQvK3Mxtdr8FtDiRl6m9jbDL2NEpG-2Dv7fG3LP_Y3MP8GBxJ6ww</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2758513081</pqid></control><display><type>article</type><title>Seasonal variation of hospital-acquired bloodstream infections: A national cohort study</title><source>Cambridge University Press</source><creator>Blot, Koen ; Hammami, Naïma ; Blot, Stijn ; Vogelaers, Dirk ; Lambert, Marie-Laurence</creator><creatorcontrib>Blot, Koen ; Hammami, Naïma ; Blot, Stijn ; Vogelaers, Dirk ; Lambert, Marie-Laurence</creatorcontrib><description>Hospital-acquired bloodstream infections (HABSIs) cause increased morbidity, mortality, and hospital costs that are partially preventable. HABSI seasonality has been described for gram-negative bacteria but has not been stratified per infection origin.
To assess seasonality among all types of HABSIs and their associations with climate.
Hospitals performing surveillance for at least 1 full calendar year between 2000 and 2014 were included. Mixed-effects negative binomial regression analysis calculated the peak-to-low monthly ratio as an adjusted HABSI incidence rate ratio (IRR) with 95% confidence intervals (CIs). Another regression model examined associations between HABSI rates and climate variables. These analyses were stratified by microorganism and infectious origin.
The study population included 104 hospitals comprising 44,111 HABSIs. Regression analysis identified an incidence rate ratio (IRR) peak in August for gram-negative HABSIs (IRR, 1.59; 95% CI, 1.49-1.71), CLABSIs (IRR, 1.49; 95% CI, 1.30-1.70), and urinary tract HABSI (IRR, 1.52; 95% CI, 1.34-1.74). The gram-negative incidence increased by 13.1% (95% CI, 9.9%-16.4%) for every 5°C increase in temperature. Seasonality was most present among E. coli, K. pneumoniae, E. cloacae, and the nonfermenters. Gram-positive and pulmonary HABSIs did not demonstrate seasonal variation.
Seasonality with summer spikes occurred among gram-negative bacteria, CLABSIs, and urinary tract HABSIs. Higher ambient temperature was associated with gram-negative HABSI rates. The preventable causative factors for seasonality, such as the nurse-to-patient ratio, indoor room temperature or device-utilization, need to be examined to assess areas for improving patient safety.</description><identifier>ISSN: 0899-823X</identifier><identifier>EISSN: 1559-6834</identifier><identifier>DOI: 10.1017/ice.2021.85</identifier><identifier>PMID: 33975668</identifier><language>eng</language><publisher>United States: Cambridge University Press</publisher><subject>Ambient temperature ; Bacteria ; Catheters ; Climate change ; Cohort analysis ; Cohort Studies ; Confidence intervals ; Cross Infection - microbiology ; E coli ; Epidemiology ; Escherichia coli ; Gram-negative bacteria ; Gram-positive bacteria ; Hospital costs ; Hospitals ; Humans ; Humidity ; Incidence ; Microorganisms ; Nosocomial infections ; Pathogens ; Regression analysis ; Seasonal variations ; Seasons ; Sepsis - epidemiology ; Staphylococcus infections ; Statistical significance ; Streptococcus infections ; Summer</subject><ispartof>Infection control and hospital epidemiology, 2022-02, Vol.43 (2), p.205-211</ispartof><rights>2021 by The Society for Healthcare Epidemiology of America. All rights reserved. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013</citedby><cites>FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013</cites><orcidid>0000-0002-0847-0133</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33975668$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Blot, Koen</creatorcontrib><creatorcontrib>Hammami, Naïma</creatorcontrib><creatorcontrib>Blot, Stijn</creatorcontrib><creatorcontrib>Vogelaers, Dirk</creatorcontrib><creatorcontrib>Lambert, Marie-Laurence</creatorcontrib><title>Seasonal variation of hospital-acquired bloodstream infections: A national cohort study</title><title>Infection control and hospital epidemiology</title><addtitle>Infect Control Hosp Epidemiol</addtitle><description>Hospital-acquired bloodstream infections (HABSIs) cause increased morbidity, mortality, and hospital costs that are partially preventable. HABSI seasonality has been described for gram-negative bacteria but has not been stratified per infection origin.
To assess seasonality among all types of HABSIs and their associations with climate.
Hospitals performing surveillance for at least 1 full calendar year between 2000 and 2014 were included. Mixed-effects negative binomial regression analysis calculated the peak-to-low monthly ratio as an adjusted HABSI incidence rate ratio (IRR) with 95% confidence intervals (CIs). Another regression model examined associations between HABSI rates and climate variables. These analyses were stratified by microorganism and infectious origin.
The study population included 104 hospitals comprising 44,111 HABSIs. Regression analysis identified an incidence rate ratio (IRR) peak in August for gram-negative HABSIs (IRR, 1.59; 95% CI, 1.49-1.71), CLABSIs (IRR, 1.49; 95% CI, 1.30-1.70), and urinary tract HABSI (IRR, 1.52; 95% CI, 1.34-1.74). The gram-negative incidence increased by 13.1% (95% CI, 9.9%-16.4%) for every 5°C increase in temperature. Seasonality was most present among E. coli, K. pneumoniae, E. cloacae, and the nonfermenters. Gram-positive and pulmonary HABSIs did not demonstrate seasonal variation.
Seasonality with summer spikes occurred among gram-negative bacteria, CLABSIs, and urinary tract HABSIs. Higher ambient temperature was associated with gram-negative HABSI rates. The preventable causative factors for seasonality, such as the nurse-to-patient ratio, indoor room temperature or device-utilization, need to be examined to assess areas for improving patient safety.</description><subject>Ambient temperature</subject><subject>Bacteria</subject><subject>Catheters</subject><subject>Climate change</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Cross Infection - microbiology</subject><subject>E coli</subject><subject>Epidemiology</subject><subject>Escherichia coli</subject><subject>Gram-negative bacteria</subject><subject>Gram-positive bacteria</subject><subject>Hospital costs</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Humidity</subject><subject>Incidence</subject><subject>Microorganisms</subject><subject>Nosocomial infections</subject><subject>Pathogens</subject><subject>Regression analysis</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Sepsis - epidemiology</subject><subject>Staphylococcus infections</subject><subject>Statistical significance</subject><subject>Streptococcus infections</subject><subject>Summer</subject><issn>0899-823X</issn><issn>1559-6834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpdkM1LwzAYh4Mobk5P3iXgRZDOfDRN4m0Mv2DgQUVv4W2bso6umUkr7L83ddODp0B43ocfD0LnlEwpofKmLuyUEUanShygMRVCJ5ni6SEaE6V1ohj_GKGTEFaEEKk1PUYjzrUUWabG6P3FQnAtNPgLfA1d7VrsKrx0YVN30CRQfPa1tyXOG-fK0HkLa1y3lS0GNNziGW5_rqKhcEvnOxy6vtyeoqMKmmDP9u8Evd3fvc4fk8Xzw9N8tkgKLtIuDtUlBSFBs0LSKs4DyxXTSqdcURq_AGwKlOeVyFnFmLVcEuCME2IJoXyCrnbejXefvQ2dWdehsE0DrXV9MEywjArKiIzo5T905Xofh0dKCiUoJ2oQXu-owrsQvK3Mxtdr8FtDiRl6m9jbDL2NEpG-2Dv7fG3LP_Y3MP8GBxJ6ww</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Blot, Koen</creator><creator>Hammami, Naïma</creator><creator>Blot, Stijn</creator><creator>Vogelaers, Dirk</creator><creator>Lambert, Marie-Laurence</creator><general>Cambridge University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>S0X</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0847-0133</orcidid></search><sort><creationdate>20220201</creationdate><title>Seasonal variation of hospital-acquired bloodstream infections: A national cohort study</title><author>Blot, Koen ; Hammami, Naïma ; Blot, Stijn ; Vogelaers, Dirk ; Lambert, Marie-Laurence</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Ambient temperature</topic><topic>Bacteria</topic><topic>Catheters</topic><topic>Climate change</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Cross Infection - microbiology</topic><topic>E coli</topic><topic>Epidemiology</topic><topic>Escherichia coli</topic><topic>Gram-negative bacteria</topic><topic>Gram-positive bacteria</topic><topic>Hospital costs</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Humidity</topic><topic>Incidence</topic><topic>Microorganisms</topic><topic>Nosocomial infections</topic><topic>Pathogens</topic><topic>Regression analysis</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Sepsis - epidemiology</topic><topic>Staphylococcus infections</topic><topic>Statistical significance</topic><topic>Streptococcus infections</topic><topic>Summer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blot, Koen</creatorcontrib><creatorcontrib>Hammami, Naïma</creatorcontrib><creatorcontrib>Blot, Stijn</creatorcontrib><creatorcontrib>Vogelaers, Dirk</creatorcontrib><creatorcontrib>Lambert, Marie-Laurence</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Database (Proquest)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Infection control and hospital epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blot, Koen</au><au>Hammami, Naïma</au><au>Blot, Stijn</au><au>Vogelaers, Dirk</au><au>Lambert, Marie-Laurence</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal variation of hospital-acquired bloodstream infections: A national cohort study</atitle><jtitle>Infection control and hospital epidemiology</jtitle><addtitle>Infect Control Hosp Epidemiol</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>43</volume><issue>2</issue><spage>205</spage><epage>211</epage><pages>205-211</pages><issn>0899-823X</issn><eissn>1559-6834</eissn><abstract>Hospital-acquired bloodstream infections (HABSIs) cause increased morbidity, mortality, and hospital costs that are partially preventable. HABSI seasonality has been described for gram-negative bacteria but has not been stratified per infection origin.
To assess seasonality among all types of HABSIs and their associations with climate.
Hospitals performing surveillance for at least 1 full calendar year between 2000 and 2014 were included. Mixed-effects negative binomial regression analysis calculated the peak-to-low monthly ratio as an adjusted HABSI incidence rate ratio (IRR) with 95% confidence intervals (CIs). Another regression model examined associations between HABSI rates and climate variables. These analyses were stratified by microorganism and infectious origin.
The study population included 104 hospitals comprising 44,111 HABSIs. Regression analysis identified an incidence rate ratio (IRR) peak in August for gram-negative HABSIs (IRR, 1.59; 95% CI, 1.49-1.71), CLABSIs (IRR, 1.49; 95% CI, 1.30-1.70), and urinary tract HABSI (IRR, 1.52; 95% CI, 1.34-1.74). The gram-negative incidence increased by 13.1% (95% CI, 9.9%-16.4%) for every 5°C increase in temperature. Seasonality was most present among E. coli, K. pneumoniae, E. cloacae, and the nonfermenters. Gram-positive and pulmonary HABSIs did not demonstrate seasonal variation.
Seasonality with summer spikes occurred among gram-negative bacteria, CLABSIs, and urinary tract HABSIs. Higher ambient temperature was associated with gram-negative HABSI rates. The preventable causative factors for seasonality, such as the nurse-to-patient ratio, indoor room temperature or device-utilization, need to be examined to assess areas for improving patient safety.</abstract><cop>United States</cop><pub>Cambridge University Press</pub><pmid>33975668</pmid><doi>10.1017/ice.2021.85</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-0847-0133</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-823X |
ispartof | Infection control and hospital epidemiology, 2022-02, Vol.43 (2), p.205-211 |
issn | 0899-823X 1559-6834 |
language | eng |
recordid | cdi_proquest_miscellaneous_2526151207 |
source | Cambridge University Press |
subjects | Ambient temperature Bacteria Catheters Climate change Cohort analysis Cohort Studies Confidence intervals Cross Infection - microbiology E coli Epidemiology Escherichia coli Gram-negative bacteria Gram-positive bacteria Hospital costs Hospitals Humans Humidity Incidence Microorganisms Nosocomial infections Pathogens Regression analysis Seasonal variations Seasons Sepsis - epidemiology Staphylococcus infections Statistical significance Streptococcus infections Summer |
title | Seasonal variation of hospital-acquired bloodstream infections: A national cohort study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T18%3A44%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Seasonal%20variation%20of%20hospital-acquired%20bloodstream%20infections:%20A%20national%20cohort%20study&rft.jtitle=Infection%20control%20and%20hospital%20epidemiology&rft.au=Blot,%20Koen&rft.date=2022-02-01&rft.volume=43&rft.issue=2&rft.spage=205&rft.epage=211&rft.pages=205-211&rft.issn=0899-823X&rft.eissn=1559-6834&rft_id=info:doi/10.1017/ice.2021.85&rft_dat=%3Cproquest_cross%3E2758513081%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c354t-689d1a57a92c71f799ae3829894381171faae4a13bf5b2f22ee370a32300e0013%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2758513081&rft_id=info:pmid/33975668&rfr_iscdi=true |