Evidence map›Paper›PMID 37876022›Full record

ArticlePneumonia (Nathan Qld.)2023

A high α1-antitrypsin/interleukin-10 ratio predicts bacterial pneumonia in adults with community-acquired pneumonia: a prospective cohort study.

Taiga Miyazaki, Kiyoyasu Fukushima, Kohji Hashiguchi, Shotaro Ide, Tsutomu Kobayashi, Toyomitsu Sawai, Kazuhiro Yatera, Yoshihisa Kohno, Yuichi Fukuda, Yoji Futsuki and 14 more

Open access · goldAbstract read
In one paragraph

Article in Pneumonia (Nathan Qld.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  4. Serum inflammatory markers in children withWorld journal of clinical cases · 2024
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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

24 authors at 13 institutions in 2 countries.

Taiga MiyazakiDivision of Respirology, Rheumatology, Infectious Diseases, and Neurology, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan. taiga_miyazaki@med.miyazaki-u.ac.jp.
Kiyoyasu FukushimaJapanese Red Cross Nagasaki Genbaku Isahaya Hospital, Isahaya, Japan.
Kohji HashiguchiJapanese Red Cross Nagasaki Genbaku Hospital, Nagasaki, Japan.
Shotaro IdeDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Tsutomu KobayashiSasebo Chuo Hospital, Sasebo, Japan.
Toyomitsu SawaiNagasaki Harbor Medical Center, Nagasaki, Japan.
Kazuhiro YateraDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Yoshihisa KohnoKouseikai Hospital, Nagasaki, Japan.
Yuichi FukudaSasebo City General Hospital, Sasebo, Japan.
Yoji FutsukiSaiseikai Nagasaki Hospital, Nagasaki, Japan.
Yuichi MatsubaraJuko Memorial Nagasaki Hospital, Nagasaki, Japan.
Hironobu KogaAino Memorial Hospital, Unzen, Japan.
Tomo MiharaNagasaki Medical Center, Omura, Japan.
Eisuke SasakiUreshino Medical Center, Ureshino, Japan.
Nobuyuki AshizawaDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Tatsuro HirayamaDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Takahiro TakazonoDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Kazuko YamamotoDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Yoshifumi ImamuraDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Norihito KakuDepartment of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Kosuke KosaiDepartment of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Yoshitomo MorinagaDepartment of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Katsunori YanagiharaDepartment of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Hiroshi MukaeDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Nagasaki University Hospital · JPNagasaki University · JPJapanese Red Cross Society, Japan · JPNagasaki Medical Center · JPSasebo City General Hospital · JPAino University · JPNagasaki Ajisai Hospital · JPSendai Kousei Hospital · JPUniversity of Miyazaki · JPUniversity of Occupational and Environmental Health Japan · JPUniversity of the Ryukyus · JPUniversity of Toyama · JPUreshino Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent microbiological tests fail to identify the causative microorganism in more than half of all pneumonia cases. We explored biomarkers that could be used for differentiating between bacterial and viral pneumonia in patients with community-acquired pneumonia (CAP).

methodsIn this prospective cohort study conducted in Japan, data obtained from adult patients with bacterial pneumonia, including bacterial and viral coinfections (bacterial pneumonia [BP] group), and purely viral pneumonia (VP group) at diagnosis were analyzed using multivariate logistic regression analysis to identify predictors of bacterial pneumonia. Furthermore, a decision tree was developed using the predictors.

resultsA total of 210 patients were analyzed. The BP and VP groups comprised 108 and 18 patients, respectively. The other 84 patients had no identified causative microorganism. The two groups shared similar characteristics, including disease severity; however, a significant difference (p < 0.05) was observed between the two groups regarding sputum type; sputum volume score; neutrophil counts; and serum levels of interleukin (IL)-8, IL-10, and α1-antitrypsin (AAT). Sputum volume score (p < 0.001), IL-10 (p < 0.001), and AAT (p = 0.008) were ultimately identified as predictors of BP. The area under the curve for these three variables on the receiver operating characteristic (ROC) curve was 0.927 (95% confidence interval [CI]: 0.881-0.974). The ROC curve for sputum volume score and an AAT/IL-10 ratio showed a diagnostic cutoff of 1 + and 65, respectively. Logistic regression analysis using dichotomized variables at the cutoff values showed that the odds ratios for the diagnosis of BP were 10.4 (95% CI: 2.2-50.2) for sputum volume score (absence vs. presence) and 19.8 (95% CI: 4.7-83.2) for AAT/IL-10 ratio (< 65 vs. ≥ 65).

conclusionsConsidering that obtaining a definitive etiologic diagnosis with the current testing methods is difficult and time consuming, a decision tree with two predictors, namely sputum volume and the AAT/IL-10 ratio, can be useful in predicting BP among patients diagnosed with CAP and facilitating the appropriate use of antibiotics.

trial registrationUMIN000034673 registered on November 29, 2018.

Indexed as

Bacterial pneumoniaBiomarkerCommunity-acquired pneumoniaInterleukin-10α1-antitrypsin

Identifiers

PMID37876022
PMCPMC10599029
OpenAlexW4387898845

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.