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Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study
OBJECTIVE: Knowledge about patients after calling for an ambulance is limited to subgroups, such as patients with cardiac arrest, myocardial infarction, trauma and stroke, while population-based studies including all diagnoses are few. We examined the diagnostic pattern and mortality among all patie...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4947831/ https://www.ncbi.nlm.nih.gov/pubmed/27377636 http://dx.doi.org/10.1136/bmjopen-2016-011558 |
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author | Christensen, Erika Frischknecht Larsen, Thomas Mulvad Jensen, Flemming Bøgh Bendtsen, Mette Dahl Hansen, Poul Anders Johnsen, Søren Paaske Christiansen, Christian Fynbo |
author_facet | Christensen, Erika Frischknecht Larsen, Thomas Mulvad Jensen, Flemming Bøgh Bendtsen, Mette Dahl Hansen, Poul Anders Johnsen, Søren Paaske Christiansen, Christian Fynbo |
author_sort | Christensen, Erika Frischknecht |
collection | PubMed |
description | OBJECTIVE: Knowledge about patients after calling for an ambulance is limited to subgroups, such as patients with cardiac arrest, myocardial infarction, trauma and stroke, while population-based studies including all diagnoses are few. We examined the diagnostic pattern and mortality among all patients brought to hospital by ambulance after emergency calls. DESIGN: Registry-based cohort study. SETTING AND PARTICIPANTS: We included patients brought to hospital in an ambulance dispatched after emergency calls during 2007–2014 in the North Denmark Region (580 000 inhabitants). We reported hospital diagnosis according to the chapters of the International Classification of Diseases, 10th Edition (ICD-10), and studied death on days 1 and 30 after the call. Cohort characteristics and diagnoses were described, and the Kaplan-Meier method was used to estimate mortality and 95% CIs. RESULTS: In total, 148 757 patients were included, mean age 52.9 (SD 24.3) years. The most frequent ICD-10 diagnosis chapters were: ‘injury and poisoning’ (30.0%), and the 2 non-specific diagnosis chapters: ‘symptoms and abnormal findings, not elsewhere classified’ (17.5%) and ‘factors influencing health status and contact with health services’ (14.1%), followed by ‘diseases of the circulatory system’ (10.6%) and ‘diseases of the respiratory system’ (6.7%). The overall 1-day mortality was 1.8% (CI 1.7% to 1.8%) and 30-day mortality 4.7% (CI 4.6% to 4.8%). ‘Diseases of the circulatory system’ had the highest 1-day mortality of 7.7% (CI 7.3% to 8.1%) accounting for 1209 deaths. After 30 days, the highest number of deaths were among circulatory diseases (2313), respiratory diseases (1148), ‘symptoms and abnormal findings, not elsewhere classified’ (1119) and ‘injury and poisoning’ (741), and 30 days mortality in percentage was 14.7%, 11.6%, 4.3% and 1.7%, respectively. CONCLUSIONS: Patients' diagnoses from hospital stay after calling 1-1-2 in this population-based study were distributed across all ICD-10 chapters. Mortality varied widely between diagnostic groups. Non-specific diagnoses accounted for one-third of the patients and contributed to mortality in terms of total number of deaths. |
format | Online Article Text |
id | pubmed-4947831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49478312016-08-03 Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study Christensen, Erika Frischknecht Larsen, Thomas Mulvad Jensen, Flemming Bøgh Bendtsen, Mette Dahl Hansen, Poul Anders Johnsen, Søren Paaske Christiansen, Christian Fynbo BMJ Open Emergency Medicine OBJECTIVE: Knowledge about patients after calling for an ambulance is limited to subgroups, such as patients with cardiac arrest, myocardial infarction, trauma and stroke, while population-based studies including all diagnoses are few. We examined the diagnostic pattern and mortality among all patients brought to hospital by ambulance after emergency calls. DESIGN: Registry-based cohort study. SETTING AND PARTICIPANTS: We included patients brought to hospital in an ambulance dispatched after emergency calls during 2007–2014 in the North Denmark Region (580 000 inhabitants). We reported hospital diagnosis according to the chapters of the International Classification of Diseases, 10th Edition (ICD-10), and studied death on days 1 and 30 after the call. Cohort characteristics and diagnoses were described, and the Kaplan-Meier method was used to estimate mortality and 95% CIs. RESULTS: In total, 148 757 patients were included, mean age 52.9 (SD 24.3) years. The most frequent ICD-10 diagnosis chapters were: ‘injury and poisoning’ (30.0%), and the 2 non-specific diagnosis chapters: ‘symptoms and abnormal findings, not elsewhere classified’ (17.5%) and ‘factors influencing health status and contact with health services’ (14.1%), followed by ‘diseases of the circulatory system’ (10.6%) and ‘diseases of the respiratory system’ (6.7%). The overall 1-day mortality was 1.8% (CI 1.7% to 1.8%) and 30-day mortality 4.7% (CI 4.6% to 4.8%). ‘Diseases of the circulatory system’ had the highest 1-day mortality of 7.7% (CI 7.3% to 8.1%) accounting for 1209 deaths. After 30 days, the highest number of deaths were among circulatory diseases (2313), respiratory diseases (1148), ‘symptoms and abnormal findings, not elsewhere classified’ (1119) and ‘injury and poisoning’ (741), and 30 days mortality in percentage was 14.7%, 11.6%, 4.3% and 1.7%, respectively. CONCLUSIONS: Patients' diagnoses from hospital stay after calling 1-1-2 in this population-based study were distributed across all ICD-10 chapters. Mortality varied widely between diagnostic groups. Non-specific diagnoses accounted for one-third of the patients and contributed to mortality in terms of total number of deaths. BMJ Publishing Group 2016-07-04 /pmc/articles/PMC4947831/ /pubmed/27377636 http://dx.doi.org/10.1136/bmjopen-2016-011558 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Emergency Medicine Christensen, Erika Frischknecht Larsen, Thomas Mulvad Jensen, Flemming Bøgh Bendtsen, Mette Dahl Hansen, Poul Anders Johnsen, Søren Paaske Christiansen, Christian Fynbo Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
title | Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
title_full | Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
title_fullStr | Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
title_full_unstemmed | Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
title_short | Diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
title_sort | diagnosis and mortality in prehospital emergency patients transported to hospital: a population-based and registry-based cohort study |
topic | Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4947831/ https://www.ncbi.nlm.nih.gov/pubmed/27377636 http://dx.doi.org/10.1136/bmjopen-2016-011558 |
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