Cargando…

Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan

The objective of the study was to investigate the predictive factors for the hospitalization of patients who presented with mild to moderate heat illness at an emergency department. We conducted a retrospective survey of hospitals with an emergency department in Yamaguchi Prefecture, Japan. The surv...

Descripción completa

Detalles Bibliográficos
Autores principales: Yamamoto, Takahiro, Todani, Masaki, Oda, Yasutaka, Kaneko, Tadashi, Kaneda, Kotaro, Fujita, Motoki, Miyauchi, Takashi, Tsuruta, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586706/
https://www.ncbi.nlm.nih.gov/pubmed/26393633
http://dx.doi.org/10.3390/ijerph120911770
_version_ 1782392417486372864
author Yamamoto, Takahiro
Todani, Masaki
Oda, Yasutaka
Kaneko, Tadashi
Kaneda, Kotaro
Fujita, Motoki
Miyauchi, Takashi
Tsuruta, Ryosuke
author_facet Yamamoto, Takahiro
Todani, Masaki
Oda, Yasutaka
Kaneko, Tadashi
Kaneda, Kotaro
Fujita, Motoki
Miyauchi, Takashi
Tsuruta, Ryosuke
author_sort Yamamoto, Takahiro
collection PubMed
description The objective of the study was to investigate the predictive factors for the hospitalization of patients who presented with mild to moderate heat illness at an emergency department. We conducted a retrospective survey of hospitals with an emergency department in Yamaguchi Prefecture, Japan. The survey questionnaire entries included patient age, sex, use of an ambulance, vital signs, blood examination conducted at the emergency department, the length of hospitalization, and outcome. We analyzed the predictive factors for hospitalization in patients with heat illness. A total of 127 patients were analyzed. Of these, 49 (37%) were admitted, with 59% discharged on the day following admission. In univariate analysis, the following inpatient characteristics were predictive for hospitalization: old age, low Glasgow Coma Scale score, elevated body temperature, increased serum C-reactive protein, and increased blood urea nitrogen. In logistic regression multivariate analysis, the following were predictive factors for hospitalization: age of ≥ 65 years (odds ratio (OR) 4.91; 95% confidence interval (CI) 1.42–17.00), body temperature (OR 1.97; 95% CI 1.14–3.41), Glasgow Coma Scale (OR 0.40; 95% CI 0.16–0.98), and creatinine (OR 2.92; 95% CI 1.23–6.94). The results suggest that the elderly with hyperthermia, disturbance of consciousness, and elevated serum creatinine have an increased risk for hospitalization with heat illness.
format Online
Article
Text
id pubmed-4586706
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-45867062015-10-06 Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan Yamamoto, Takahiro Todani, Masaki Oda, Yasutaka Kaneko, Tadashi Kaneda, Kotaro Fujita, Motoki Miyauchi, Takashi Tsuruta, Ryosuke Int J Environ Res Public Health Article The objective of the study was to investigate the predictive factors for the hospitalization of patients who presented with mild to moderate heat illness at an emergency department. We conducted a retrospective survey of hospitals with an emergency department in Yamaguchi Prefecture, Japan. The survey questionnaire entries included patient age, sex, use of an ambulance, vital signs, blood examination conducted at the emergency department, the length of hospitalization, and outcome. We analyzed the predictive factors for hospitalization in patients with heat illness. A total of 127 patients were analyzed. Of these, 49 (37%) were admitted, with 59% discharged on the day following admission. In univariate analysis, the following inpatient characteristics were predictive for hospitalization: old age, low Glasgow Coma Scale score, elevated body temperature, increased serum C-reactive protein, and increased blood urea nitrogen. In logistic regression multivariate analysis, the following were predictive factors for hospitalization: age of ≥ 65 years (odds ratio (OR) 4.91; 95% confidence interval (CI) 1.42–17.00), body temperature (OR 1.97; 95% CI 1.14–3.41), Glasgow Coma Scale (OR 0.40; 95% CI 0.16–0.98), and creatinine (OR 2.92; 95% CI 1.23–6.94). The results suggest that the elderly with hyperthermia, disturbance of consciousness, and elevated serum creatinine have an increased risk for hospitalization with heat illness. MDPI 2015-09-18 2015-09 /pmc/articles/PMC4586706/ /pubmed/26393633 http://dx.doi.org/10.3390/ijerph120911770 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yamamoto, Takahiro
Todani, Masaki
Oda, Yasutaka
Kaneko, Tadashi
Kaneda, Kotaro
Fujita, Motoki
Miyauchi, Takashi
Tsuruta, Ryosuke
Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan
title Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan
title_full Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan
title_fullStr Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan
title_full_unstemmed Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan
title_short Predictive Factors for Hospitalization of Patients with Heat Illness in Yamaguchi, Japan
title_sort predictive factors for hospitalization of patients with heat illness in yamaguchi, japan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586706/
https://www.ncbi.nlm.nih.gov/pubmed/26393633
http://dx.doi.org/10.3390/ijerph120911770
work_keys_str_mv AT yamamototakahiro predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT todanimasaki predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT odayasutaka predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT kanekotadashi predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT kanedakotaro predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT fujitamotoki predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT miyauchitakashi predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan
AT tsurutaryosuke predictivefactorsforhospitalizationofpatientswithheatillnessinyamaguchijapan