Evidence map›Paper›PMID 26856838›Full record

ArticleAntimicrobial agents and chemotherapy2016

Derivation and Multicenter Validation of the Drug Resistance in Pneumonia Clinical Prediction Score.

Brandon J Webb, Kristin Dascomb, Edward Stenehjem, Holenarasipur R Vikram, Neera Agrwal, Kenneth Sakata, Kathryn Williams, Bruno Bockorny, Kavitha Bagavathy, Shireen Mirza and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Risk factors for drug-resistant pathogens in community-acquired pneumonia: systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  3. Guideline
  4. Article
  5. Review
  6. Article
  7. Methicillin-resistantJournal of the American College of Emergency Physicians open · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Severe community-acquired pneumonia.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  14. How and when to manage respiratory infections out of hospital.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  15. Article
  16. Review
  17. Review
  18. Deploying an Electronic Clinical Decision Support Tool for Diagnosis and Treatment of Pneumonia Into Rural and Critical Access Hospitals: Utilization, Effect on Processes of Care, and Clinician Satisfaction.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
  19. Diagnosis of Multidrug-Resistant Pathogens of Pneumonia.Diagnostics (Basel, Switzerland) · 2021
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Brandon J WebbIntermountain Healthcare, Division of Epidemiology and Infectious Diseases, Salt Lake City, Utah, USA Brandon.Webb@imail.org.ORCID 0000-0002-1799-3315
Kristin DascombIntermountain Healthcare, Division of Epidemiology and Infectious Diseases, Salt Lake City, Utah, USA.
Edward StenehjemIntermountain Healthcare, Division of Epidemiology and Infectious Diseases, Salt Lake City, Utah, USA.
Holenarasipur R VikramMayo Clinic in Arizona, Division of Infectious Diseases, Phoenix, Arizona, USA.
Neera AgrwalMayo Clinic in Arizona, Division of Hospital Internal Medicine, Phoenix, Arizona, USA.
Kenneth SakataMayo Clinic in Arizona, Division of Pulmonary Medicine, Phoenix, Arizona, USA.
Kathryn WilliamsMayo Clinic in Arizona, Department of Internal Medicine, Scottsdale, Arizona, USA.
Bruno BockornyUniversity of Connecticut Medical Center, Department of Internal Medicine, Farmington, Connecticut, USA.
Kavitha BagavathyUniversity of Connecticut Medical Center, Department of Internal Medicine, Farmington, Connecticut, USA.
Shireen MirzaUniversity of Connecticut Medical Center, Department of Internal Medicine, Farmington, Connecticut, USA.
Mark MeterskyUniversity of Connecticut Medical Center, Division of Pulmonary and Critical Care Medicine, Farmington, Connecticut, USA.
Nathan C DeanDivision of Pulmonary and Critical Care Medicine at Intermountain Medical Center and the University of Utah, Salt Lake City, Utah, USA.
UConn Health · USIntermountain Healthcare · USMayo Clinic Hospital · USMayo Clinic in Arizona · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health care-associated pneumonia (HCAP) criteria have a limited ability to predict pneumonia caused by drug-resistant bacteria and favor the overutilization of broad-spectrum antibiotics. We aimed to derive and validate a clinical prediction score with an improved ability to predict the risk of pneumonia due to drug-resistant pathogens compared to that of HCAP criteria. A derivation cohort of 200 microbiologically confirmed pneumonia cases in 2011 and 2012 was identified retrospectively. Risk factors for pneumonia due to drug-resistant pathogens were evaluated by logistic regression, and a novel prediction score (the drug resistance in pneumonia [DRIP] score) was derived. The score was then validated in a prospective, observational cohort of 200 microbiologically confirmed cases of pneumonia at four U.S. centers in 2013 and 2014. The DRIP score (area under the receiver operator curve [AUROC], 0.88 [95% confidence interval {CI}, 0.82 to 0.93]) performed significantly better (P = 0.02) than the HCAP criteria (AUROC, 0.72 [95% CI, 0.64 to 0.79]). At a threshold of ≥4 points, the DRIP score demonstrated a sensitivity of 0.82 (95% CI, 0.67 to 0.88), a specificity of 0.81 (95% CI, 0.73 to 0.87), a positive predictive value (PPV) of 0.68 (95% CI, 0.56 to 0.78), and a negative predictive value (NPV) of 0.90 (95% CI, 0.81 to 0.93). By comparison, the performance of HCAP criteria was less favorable: sensitivity was 0.79 (95% CI, 0.67 to 0.88), specificity was 0.65 (95% CI, 0.56 to 0.73), PPV was 0.53 (95% CI, 0.42 to 0.63), and NPV was 0.86 (95% CI, 0.77 to 0.92). The overall accuracy of the HCAP criteria was 69.5% (95% CI, 62.5 to 75.7%), whereas that of the DRIP score was 81.5% (95% CI, 74.2 to 85.6%) (P = 0.005). Unnecessary extended-spectrum antibiotics were recommended 46% less frequently by applying the DRIP score (25/200, 12.5%) than by use of HCAP criteria (47/200, 23.5%) (P = 0.004), without increasing the rate at which inadequate treatment recommendations were made. The DRIP score was more predictive of the risk of pneumonia due to drug-resistant pathogens than HCAP criteria and may have the potential to decrease antibiotic overutilization in patients with pneumonia. Validation in larger cohorts of patients with pneumonia due to all causes is necessary.

Indexed as

AgedAged, 80 and overAnti-Bacterial AgentsDrug Resistance, BacterialFemaleHumansLogistic ModelsMaleMiddle AgedPneumonia, BacterialProspective StudiesRetrospective StudiesRisk FactorsAnti-Bacterial Agents

Identifiers

PMID26856838
PMCPMC4862530
OpenAlexW2340871248

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.