Cargando…
Prognostic nomogram for inpatients with asthma exacerbation
BACKGROUND: Asthma exacerbation may require a visit to the emergency room as well as hospitalization and can occasionally be fatal. However, there is limited information about the prognostic factors for asthma exacerbation requiring hospitalization, and no methods are available to predict an inpatie...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544991/ https://www.ncbi.nlm.nih.gov/pubmed/28778188 http://dx.doi.org/10.1186/s12890-017-0450-2 |
_version_ | 1783255344272637952 |
---|---|
author | Hasegawa, Wakae Yamauchi, Yasuhiro Yasunaga, Hideo Takeshima, Hideyuki Sakamoto, Yukiyo Jo, Taisuke Sasabuchi, Yusuke Matsui, Hiroki Fushimi, Kiyohide Nagase, Takahide |
author_facet | Hasegawa, Wakae Yamauchi, Yasuhiro Yasunaga, Hideo Takeshima, Hideyuki Sakamoto, Yukiyo Jo, Taisuke Sasabuchi, Yusuke Matsui, Hiroki Fushimi, Kiyohide Nagase, Takahide |
author_sort | Hasegawa, Wakae |
collection | PubMed |
description | BACKGROUND: Asthma exacerbation may require a visit to the emergency room as well as hospitalization and can occasionally be fatal. However, there is limited information about the prognostic factors for asthma exacerbation requiring hospitalization, and no methods are available to predict an inpatient’s prognosis. We investigated the clinical features and factors affecting in-hospital mortality of patients with asthma exacerbation and generated a nomogram to predict in-hospital death using a national inpatient database in Japan. METHODS: We retrospectively collected data concerning hospitalization of adult patients with asthma exacerbation between July 2010 and March 2013 using the Japanese Diagnosis Procedure Combination database. We recorded patient characteristics and performed Cox proportional hazards regression analysis to assess the factors associated with all-cause in-hospital mortality. Then, we constructed a nomogram to predict in-hospital death. RESULTS: A total of 19,684 patients with asthma exacerbation were identified; their mean age was 58.8 years (standard deviation, 19.7 years) and median length of hospital stay was 8 days (interquartile range, 5–12 days). Among study patients, 118 died in the hospital (0.6%). Factors associated with higher in-hospital mortality included older age, male sex, reduced level of consciousness, pneumonia, and heart failure. A nomogram was generated to predict the in-hospital death based on the existence of seven variables at admission. The nomogram allowed us to estimate the probability of in-hospital death, and the calibration plot based on these results was well fitted to predict the in-hospital prognosis. CONCLUSION: Our nomogram allows physicians to predict individual risk of in-hospital death in patients with asthma exacerbation. |
format | Online Article Text |
id | pubmed-5544991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55449912017-08-07 Prognostic nomogram for inpatients with asthma exacerbation Hasegawa, Wakae Yamauchi, Yasuhiro Yasunaga, Hideo Takeshima, Hideyuki Sakamoto, Yukiyo Jo, Taisuke Sasabuchi, Yusuke Matsui, Hiroki Fushimi, Kiyohide Nagase, Takahide BMC Pulm Med Research Article BACKGROUND: Asthma exacerbation may require a visit to the emergency room as well as hospitalization and can occasionally be fatal. However, there is limited information about the prognostic factors for asthma exacerbation requiring hospitalization, and no methods are available to predict an inpatient’s prognosis. We investigated the clinical features and factors affecting in-hospital mortality of patients with asthma exacerbation and generated a nomogram to predict in-hospital death using a national inpatient database in Japan. METHODS: We retrospectively collected data concerning hospitalization of adult patients with asthma exacerbation between July 2010 and March 2013 using the Japanese Diagnosis Procedure Combination database. We recorded patient characteristics and performed Cox proportional hazards regression analysis to assess the factors associated with all-cause in-hospital mortality. Then, we constructed a nomogram to predict in-hospital death. RESULTS: A total of 19,684 patients with asthma exacerbation were identified; their mean age was 58.8 years (standard deviation, 19.7 years) and median length of hospital stay was 8 days (interquartile range, 5–12 days). Among study patients, 118 died in the hospital (0.6%). Factors associated with higher in-hospital mortality included older age, male sex, reduced level of consciousness, pneumonia, and heart failure. A nomogram was generated to predict the in-hospital death based on the existence of seven variables at admission. The nomogram allowed us to estimate the probability of in-hospital death, and the calibration plot based on these results was well fitted to predict the in-hospital prognosis. CONCLUSION: Our nomogram allows physicians to predict individual risk of in-hospital death in patients with asthma exacerbation. BioMed Central 2017-08-04 /pmc/articles/PMC5544991/ /pubmed/28778188 http://dx.doi.org/10.1186/s12890-017-0450-2 Text en © The Author(s). 2017 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 Hasegawa, Wakae Yamauchi, Yasuhiro Yasunaga, Hideo Takeshima, Hideyuki Sakamoto, Yukiyo Jo, Taisuke Sasabuchi, Yusuke Matsui, Hiroki Fushimi, Kiyohide Nagase, Takahide Prognostic nomogram for inpatients with asthma exacerbation |
title | Prognostic nomogram for inpatients with asthma exacerbation |
title_full | Prognostic nomogram for inpatients with asthma exacerbation |
title_fullStr | Prognostic nomogram for inpatients with asthma exacerbation |
title_full_unstemmed | Prognostic nomogram for inpatients with asthma exacerbation |
title_short | Prognostic nomogram for inpatients with asthma exacerbation |
title_sort | prognostic nomogram for inpatients with asthma exacerbation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544991/ https://www.ncbi.nlm.nih.gov/pubmed/28778188 http://dx.doi.org/10.1186/s12890-017-0450-2 |
work_keys_str_mv | AT hasegawawakae prognosticnomogramforinpatientswithasthmaexacerbation AT yamauchiyasuhiro prognosticnomogramforinpatientswithasthmaexacerbation AT yasunagahideo prognosticnomogramforinpatientswithasthmaexacerbation AT takeshimahideyuki prognosticnomogramforinpatientswithasthmaexacerbation AT sakamotoyukiyo prognosticnomogramforinpatientswithasthmaexacerbation AT jotaisuke prognosticnomogramforinpatientswithasthmaexacerbation AT sasabuchiyusuke prognosticnomogramforinpatientswithasthmaexacerbation AT matsuihiroki prognosticnomogramforinpatientswithasthmaexacerbation AT fushimikiyohide prognosticnomogramforinpatientswithasthmaexacerbation AT nagasetakahide prognosticnomogramforinpatientswithasthmaexacerbation |