Evidence map›Paper›PMID 25627762›Full record

ArticleInfection control and hospital epidemiology2015

Evaluating state-specific antibiotic resistance measures derived from central line-associated bloodstream infections, national healthcare safety network, 2011.

Minn M Soe, Jonathan R Edwards, Dawn M Sievert, Philip M Ricks, Shelley S Magill, Scott K Fridkin

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In one paragraph

Article in Infection control and hospital epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
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

6 authors at 1 institution in 1 country.

Minn M SoeDivision of Healthcare Quality Promotion,Centers for Disease Control and Prevention,1600 Clifton Road,NE,Atlanta,Georgia.
Jonathan R EdwardsDivision of Healthcare Quality Promotion,Centers for Disease Control and Prevention,1600 Clifton Road,NE,Atlanta,Georgia.
Dawn M SievertDivision of Healthcare Quality Promotion,Centers for Disease Control and Prevention,1600 Clifton Road,NE,Atlanta,Georgia.
Philip M RicksDivision of Healthcare Quality Promotion,Centers for Disease Control and Prevention,1600 Clifton Road,NE,Atlanta,Georgia.
Shelley S MagillDivision of Healthcare Quality Promotion,Centers for Disease Control and Prevention,1600 Clifton Road,NE,Atlanta,Georgia.
Scott K FridkinDivision of Healthcare Quality Promotion,Centers for Disease Control and Prevention,1600 Clifton Road,NE,Atlanta,Georgia.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

DISCLOSURE The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the Agency for Toxic Substances and Diseases Registry. OBJECTIVE Describe the impact of standardizing state-specific summary measures of antibiotic resistance that inform regional interventions to reduce transmission of resistant pathogens in healthcare settings. DESIGN Analysis of public health surveillance data. METHODS Central line-associated bloodstream infection (CLABSI) data from intensive care units (ICUs) of facilities reporting to the National Healthcare Safety Network in 2011 were analyzed. For CLABSI due to methicillin-resistant Staphylococcus aureus (MRSA), extended-spectrum cephalosporin (ESC)-nonsusceptible Klebsiella species, and carbapenem-nonsusceptible Klebsiella species, we computed 3 state-level summary measures of nonsusceptibility: crude percent nonsusceptible, model-based adjusted percent nonsusceptible, and crude infection incidence rate. RESULTS Overall, 1,791 facilities reported CLABSIs from ICU patients. Of 1,618 S. aureus CLABSIs with methicillin-susceptibility test results, 791 (48.9%) were due to MRSA. Of 756 Klebsiella CLABSIs with ESC-susceptibility test results, 209 (27.7%) were due to ESC-nonsusceptible Klebsiella, and among 661 Klebsiella CLABSI with carbapenem susceptibility test results, 70 (10.6%) were due to carbapenem-nonsusceptible Klebsiella. All 3 state-specific measures demonstrated variability in magnitude by state. Adjusted measures, with few exceptions, were not appreciably different from crude values for any phenotypes. When linking values of crude and adjusted percent nonsusceptible by state, a state's absolute rank shifted slightly for MRSA in 5 instances and only once each for ESC-nonsusceptible and carbapenem-nonsusceptible Klebsiella species. Infection incidence measures correlated strongly with both percent nonsusceptibility measures. CONCLUSIONS Crude state-level summary measures, based on existing NHSN CLABSI data, may suffice to assess geographic variability in antibiotic resistance. As additional variables related to antibiotic resistance become available, risk-adjusted summary measures are preferable.

Indexed as

Klebsiella oxytocaKlebsiella pneumoniaeMethicillin-Resistant Staphylococcus aureusAdolescentAdultAgedAged, 80 and overBacteremiaCarbapenemsCatheter-Related InfectionsChildChild, PreschoolDisease NotificationDrug Resistance, BacterialFemaleHumansCarbapenems

Identifiers

PMID25627762
PMCPMC4562223
OpenAlexW2076875467

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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.