Evidence map›Paper›PMID 26956147›Full record

ArticleBMC pulmonary medicine2016

A mortality prediction rule for non-elderly patients with community-acquired pneumonia.

Masato Tashiro, Kiyohide Fushimi, Takahiro Takazono, Shintaro Kurihara, Taiga Miyazaki, Misuzu Tsukamoto, Katsunori Yanagihara, Hiroshi Mukae, Takayoshi Tashiro, Shigeru Kohno and 1 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2016. 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
–field-weighted citation impact
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.

  1. Article
  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

11 authors.

Masato TashiroDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan. mtashiro@nagasaki-u.ac.jp.
Kiyohide FushimiDepartment of Health Informatics and Policy, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan. kfushimi.hci@tmd.ac.jp.
Takahiro TakazonoDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan. takahiro-takazono@nagasaki-u.ac.jp.
Shintaro KuriharaNagasaki University Infection Control and Education Centre, Nagasaki University Hospital, Nagasaki, Japan. kurihiro@nagasaki-u.ac.jp.
Taiga MiyazakiDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan. taiga-m@nagasaki-u.ac.jp.
Misuzu TsukamotoNagasaki University Infection Control and Education Centre, Nagasaki University Hospital, Nagasaki, Japan. tsukamis@nagasaki-u.ac.jp.
Katsunori YanagiharaDepartment of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan. k-yanagi@nagasaki-u.ac.jp.
Hiroshi MukaeDepartment of Respiratory Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan. hmukae@nagasaki-u.ac.jp.
Takayoshi TashiroDepartment of Health Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan. tashiro@nagasaki-u.ac.jp.
Shigeru KohnoDepartment of Respiratory Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan. s-kohno@nagasaki-u.ac.jp.
Koichi IzumikawaDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan. koizumik@nagasaki-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo mortality prediction rule is suited for non-elderly patients with community-acquired pneumonia. Therefore, we tried to create a mortality prediction rule that is simple and suitable for non-elderly patients with community-acquired pneumonia.

methodsBecause of low mortality at young age, we used information from an administrative database that included A-DROP data. We analysed the rate and risk factors for in-hospital community-acquired pneumonia-associated death among non-elderly patients and created a mortality prediction rule based on those risk factors.

resultsWe examined 49,370 hospitalisations for patients aged 18-64 years with community-acquired pneumonia. The 30-day fatality rate was 1.5%. Using regression analysis, five risk factors were selected: patient requires help for feeding, the existence of malignancy, confusion, low blood pressure, and age 40-64 years. Each risk factor of our proposed mortality risk scoring system received one point. A total point score for each patient was obtained by summing the points. The negative likelihood ratio for the score 0 group was 0.01, and the positive likelihood ratio for the score ≥4 group was 19.9. The area under the curve of the risk score for non-elderly (0.86, 95% confidence interval: 0.84-0.87) was higher than that of the A-DROP score (0.72, 95% confidence interval: 0.70-0.74) (P < 0.0001).

conclusionsOur newly proposed mortality risk scoring system may be appropriate for predicting mortality in non-elderly patients with community-acquired pneumonia. It showed a possibility of a better prediction value than the A-DROP and is easy to use in various clinical settings.

Indexed as

Decision Support TechniquesHospital MortalityActivities of Daily LivingAdolescentAdultAge FactorsCommunity-Acquired InfectionsComorbidityConfusionFeeding BehaviorFemaleHospitalizationHumansHypotensionJapanMale

Identifiers

PMID26956147
PMCPMC4784337

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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.