Evidence map›Paper›PMID 41408747›Full record

ArticleInfection control and hospital epidemiology2026

Trends of bloodstream infection incidence rates among patients on outpatient hemodialysis, National Healthcare Safety Network, 2012-2021.

Qunna Li, Shannon Novosad, Brian Rha, Hannah Hua, Lucy Fike, Jose Navarrete, Lu Meng, Andrea Benin, Jonathan Edwards, Jeneita Bell

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Qunna LiDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-2585-3742
Shannon NovosadDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.
Brian RhaDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0009-0008-2324-0951
Hannah HuaDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lucy FikeDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-8736-9286
Jose NavarreteDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lu MengDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0003-4078-8480
Andrea BeninDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0003-2765-6272
Jonathan EdwardsDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.
Jeneita BellDivision of Healthcare Quality Promotion, https://ror.org/042twtr12Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-3771-8126

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveThe purpose of the study is to analyze bloodstream infection (BSI) data reported by outpatient hemodialysis facilities to understand temporal trends, the potential impact of infection prevention practices and the COVID-19 pandemic on BSI rates.

methodsOutpatient hemodialysis facilities report BSI data to the National Healthcare Safety Network. We used interrupted time series with mixed effects negative binomial modeling to estimate the annual change of BSI rates from 2012 to 2021, using March 2020 as the COVID-19 inflection point. The model controlled for seasonal factors, vascular access types, and facility characteristics.

resultsThe number of facilities used for analysis increased from 5,581 in 2012 to 7,313 in 2021. Most facilities were freestanding (range: 90%-93%) and belonged to for-profit organizations (range: 85%-88%). The annual adjusted BSI rates decreased by an average of 8.90% (95% CI: -9.10 %, -8.71%) January 2012-February 2020. The annual decrease in BSI rate was not significant during March 2020-December 2021 (

conclusionsBSI rates decreased steadily from January 2012 to February 2020 likely due to the identification and adoption of evidence-based prevention practices. BSI rates plateaued at lower levels during March 2020-December 2021. This suggests that infection prevention measures implemented by facilities prior to the emergence of COVID-19 contributed to substantial decreases in BSI rates and may have helped to stabilize BSI rates after March 2020.

Indexed as

BacteremiaCOVID-19Renal DialysisSepsisAmbulatory Care FacilitiesCatheter-Related InfectionsCross InfectionHumansIncidenceInfection ControlInterrupted Time Series AnalysisSARS-CoV-2United States

Identifiers

PMID41408747
PMCPMC12930263

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.