Evidence map›Paper›PMID 37858082›Full record

ArticleBMC infectious diseases2023

A score to predict Pseudomonas aeruginosa infection in older patients with community-acquired pneumonia.

Kingkarn Wijit, Paveena Sonthisombat, Jaruwan Diewsurin

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  3. Factors governing the response ofFrontiers in cellular and infection microbiology · 2026
    Review
  4. Prediction Score ofInternational journal of chronic obstructive pulmonary disease · 2026
    Article
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  10. Review
  11. Enhancing prognostic prediction of invasive candidiasis among cancer patients with a serum C5a-based scoring model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
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

3 authors at 2 institutions in 1 country.

Kingkarn WijitThe College of Pharmacotherapy of Thailand, Nonthaburi, Thailand.ORCID http://orcid.org/0000-0003-0891-7457
Paveena SonthisombatDepartment of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand. paveenas@nu.ac.th.ORCID http://orcid.org/0000-0001-8356-1265
Jaruwan DiewsurinDepartment of Medicine, Buddhachinaraj Hospital, Phitsanulok, Thailand.ORCID http://orcid.org/0000-0003-2389-0897
Naresuan University · THBuddhachinaraj Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Thailand, the incidence of community-acquired pseudomonal pneumonia among 60- to 65-year-olds ranges from 10.90% to 15.51%, with a mortality rate of up to 19.00%. Antipseudomonal agents should be selected as an empirical treatment for elderly patients at high risk for developing this infection. The purpose of this study was to identify risk factors and develop a risk predictor for Pseudomonas aeruginosa infection in older adults with community-acquired pneumonia (CAP).

methodsA retrospective data collection from an electronic database involved the elderly hospitalized patients with P. aeruginosa- and non-P. aeruginosa-causing CAP, admitted between January 1, 2016, and June 30, 2021. Risk factors for P. aeruginosa infection were analysed using logistic regression, and the instrument was developed by scoring each risk factor based on the beta coefficient and evaluating discrimination and calibration using the area under the receiver operating characteristic curve (AuROC) and observed versus predicted probability (E/O) ratio.

resultsThe inclusion criteria were met by 81 and 104 elderly patients diagnosed with CAP caused by P. aeruginosa and non-P. aeruginosa, respectively. Nasogastric (NG) tube feeding (odd ratios; OR = 40.68), bronchiectasis (B) (OR = 4.13), immunocompromised condition (I) (OR = 3.76), and other chronic respiratory illnesses (r) such as atelectasis, pulmonary fibrosis, and lung bleb (OR = 2.61) were the specific risk factors for infection with P. aeruginosa. The "60-B-r-I-NG" risk score was named after the 4 abbreviated risk variables and found to have good predicative capability (AuROC = 0.77) and accuracy comparable to or near true P. aeruginosa infection (E/O = 1). People who scored at least two should receive empirically antipseudomonal medication.

conclusionsNG tube feeding before admission, bronchiectasis, immunocompromisation, atelectasis, pulmonary fibrosis and lung bleb were risk factors for pseudomonal CAP in the elderly. The 60-B-r-I-NG was developed for predicting P. aeruginosa infection with a high degree of accuracy, equal to or comparable to the existing P. aeruginosa infection. Antipseudomonal agents may be started in patients who are at least 60 years old and have a score of at least 2 in order to lower mortality and promote the appropriate use of these medications.

Indexed as

BronchiectasisCommunity-Acquired InfectionsPneumoniaPseudomonas InfectionsPulmonary AtelectasisAgedAnti-Bacterial AgentsChronic DiseaseFibrosisHumansMiddle AgedPseudomonas aeruginosaRetrospective StudiesAnti-Bacterial AgentsCommunity-acquired pneumoniaElderlyP. aeruginosaPredictive risk score

Identifiers

PMID37858082
PMCPMC10585923
OpenAlexW4387766308

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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.