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Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database

BACKGROUND: Acute eosinophilic pneumonia (AEP) is a rare inflammatory lung disease. Previous studies have shown that most patients with AEP are aged 20 to 40 years, whereas several case studies have included older patients with AEP. These studies also suggested that AEP is more prevalent in summer,...

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Autores principales: Ota, Koshi, Sasabuchi, Yusuke, Matsui, Hiroki, Jo, Taisuke, Fushimi, Kiyohide, Yasunaga, Hideo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371551/
https://www.ncbi.nlm.nih.gov/pubmed/30755187
http://dx.doi.org/10.1186/s12890-019-0800-3
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author Ota, Koshi
Sasabuchi, Yusuke
Matsui, Hiroki
Jo, Taisuke
Fushimi, Kiyohide
Yasunaga, Hideo
author_facet Ota, Koshi
Sasabuchi, Yusuke
Matsui, Hiroki
Jo, Taisuke
Fushimi, Kiyohide
Yasunaga, Hideo
author_sort Ota, Koshi
collection PubMed
description BACKGROUND: Acute eosinophilic pneumonia (AEP) is a rare inflammatory lung disease. Previous studies have shown that most patients with AEP are aged 20 to 40 years, whereas several case studies have included older patients with AEP. These studies also suggested that AEP is more prevalent in summer, but they were limited due to their small sample sizes. We therefore investigated the age distribution and seasonality among patients with AEP using a national inpatient database. METHODS: Using the Japanese Diagnosis Procedure Combination database, we identified patients with a recorded diagnosis of AEP from 1 July 2010 to 31 March 2015. We examined patient characteristics and clinical practices including age, sex, seasonal variation, length of stay, use of corticosteroids, use of mechanical ventilation, and in-hospital mortality. RESULTS: During the 57-month study period, we identified 213 inpatients with AEP. The age distribution of AEP peaked twice: at 15 to 24 years and 65 to 79 years. The proportion of patients with AEP was highest in summer for those aged < 40 years, whereas it was distributed evenly throughout the year for those aged ≥ 40 years. The interval from hospital admission to corticosteroid administration and the duration of corticosteroid use were significantly longer in the older than younger age group. CONCLUSIONS: The age distribution of patients with AEP was bimodal, and seasonality was undetected in older patients. Older patients may be more likely to have delayed and prolonged treatment.
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spelling pubmed-63715512019-02-21 Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database Ota, Koshi Sasabuchi, Yusuke Matsui, Hiroki Jo, Taisuke Fushimi, Kiyohide Yasunaga, Hideo BMC Pulm Med Research Article BACKGROUND: Acute eosinophilic pneumonia (AEP) is a rare inflammatory lung disease. Previous studies have shown that most patients with AEP are aged 20 to 40 years, whereas several case studies have included older patients with AEP. These studies also suggested that AEP is more prevalent in summer, but they were limited due to their small sample sizes. We therefore investigated the age distribution and seasonality among patients with AEP using a national inpatient database. METHODS: Using the Japanese Diagnosis Procedure Combination database, we identified patients with a recorded diagnosis of AEP from 1 July 2010 to 31 March 2015. We examined patient characteristics and clinical practices including age, sex, seasonal variation, length of stay, use of corticosteroids, use of mechanical ventilation, and in-hospital mortality. RESULTS: During the 57-month study period, we identified 213 inpatients with AEP. The age distribution of AEP peaked twice: at 15 to 24 years and 65 to 79 years. The proportion of patients with AEP was highest in summer for those aged < 40 years, whereas it was distributed evenly throughout the year for those aged ≥ 40 years. The interval from hospital admission to corticosteroid administration and the duration of corticosteroid use were significantly longer in the older than younger age group. CONCLUSIONS: The age distribution of patients with AEP was bimodal, and seasonality was undetected in older patients. Older patients may be more likely to have delayed and prolonged treatment. BioMed Central 2019-02-12 /pmc/articles/PMC6371551/ /pubmed/30755187 http://dx.doi.org/10.1186/s12890-019-0800-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ota, Koshi
Sasabuchi, Yusuke
Matsui, Hiroki
Jo, Taisuke
Fushimi, Kiyohide
Yasunaga, Hideo
Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
title Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
title_full Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
title_fullStr Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
title_full_unstemmed Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
title_short Age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
title_sort age distribution and seasonality in acute eosinophilic pneumonia: analysis using a national inpatient database
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371551/
https://www.ncbi.nlm.nih.gov/pubmed/30755187
http://dx.doi.org/10.1186/s12890-019-0800-3
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