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Predictors of hospital admission when presenting with acute-on-chronic breathlessness: Binary logistic regression
by
Pickering, Alastair
, Johnson, Miriam
, Hutchinson, Ann
, Williams, Paul
in
Admission and discharge
/ Age
/ Analysis
/ Biology and Life Sciences
/ Cardiac arrhythmia
/ Cardiovascular disease
/ Clinical medicine
/ Consent
/ Emergency medical care
/ Emergency medical services
/ Emergency vehicles
/ Engineering and Technology
/ Health aspects
/ Heart failure
/ Hospitalization
/ Hospitals
/ Medical records
/ Medicine and Health Sciences
/ Older people
/ Oxygen
/ Oxygen content
/ Oxygen saturation
/ Paramedics
/ Patients
/ Physical Sciences
/ Regression analysis
/ Regression models
/ Research and Analysis Methods
/ Secondary analysis
/ Shortness of breath
/ Surveys
/ Variables
2023
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Predictors of hospital admission when presenting with acute-on-chronic breathlessness: Binary logistic regression
by
Pickering, Alastair
, Johnson, Miriam
, Hutchinson, Ann
, Williams, Paul
in
Admission and discharge
/ Age
/ Analysis
/ Biology and Life Sciences
/ Cardiac arrhythmia
/ Cardiovascular disease
/ Clinical medicine
/ Consent
/ Emergency medical care
/ Emergency medical services
/ Emergency vehicles
/ Engineering and Technology
/ Health aspects
/ Heart failure
/ Hospitalization
/ Hospitals
/ Medical records
/ Medicine and Health Sciences
/ Older people
/ Oxygen
/ Oxygen content
/ Oxygen saturation
/ Paramedics
/ Patients
/ Physical Sciences
/ Regression analysis
/ Regression models
/ Research and Analysis Methods
/ Secondary analysis
/ Shortness of breath
/ Surveys
/ Variables
2023
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Predictors of hospital admission when presenting with acute-on-chronic breathlessness: Binary logistic regression
by
Pickering, Alastair
, Johnson, Miriam
, Hutchinson, Ann
, Williams, Paul
in
Admission and discharge
/ Age
/ Analysis
/ Biology and Life Sciences
/ Cardiac arrhythmia
/ Cardiovascular disease
/ Clinical medicine
/ Consent
/ Emergency medical care
/ Emergency medical services
/ Emergency vehicles
/ Engineering and Technology
/ Health aspects
/ Heart failure
/ Hospitalization
/ Hospitals
/ Medical records
/ Medicine and Health Sciences
/ Older people
/ Oxygen
/ Oxygen content
/ Oxygen saturation
/ Paramedics
/ Patients
/ Physical Sciences
/ Regression analysis
/ Regression models
/ Research and Analysis Methods
/ Secondary analysis
/ Shortness of breath
/ Surveys
/ Variables
2023
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Predictors of hospital admission when presenting with acute-on-chronic breathlessness: Binary logistic regression
Journal Article
Predictors of hospital admission when presenting with acute-on-chronic breathlessness: Binary logistic regression
2023
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Overview
Breathlessness due to medical conditions commonly causes emergency department presentations and unplanned admissions. Acute-on-chronic breathlessness is a reason for 20% of emergency presentations by ambulance with 69% of these being admitted. The emergency department may be inappropriate for many presenting with acute-on-chronic breathlessness. To examine predictors of emergency department departure status in people with acute-on-chronic breathlessness. Secondary analysis of patient-report survey and clinical record data from consecutive eligible attendees by ambulance. Variables associated with emergency department departure status (unifactorial analyses; p<0.05) were included in a binary logistic regression model. The study was conducted in a single tertiary hospital. Consecutive survey participants presenting in May 2015 with capacity were eligible. 1,212/1,345 surveys were completed. 245/1,212 presented with acute-on-chronic breathlessness, 171 of whom consented to clinical record review and were included in this analysis. In the final model, the odds of admission were increased with every extra year of age [OR 1.041 (95% CI: 1.016 to 1.066)], having talked to a specialist doctor about breathlessness [9.262 (1.066 to 80.491)] and having a known history of a heart condition [4.177 (1.680 to 10.386)]. Odds of admission were decreased with every percentage increase in oxygen saturation [0.826 (0.701 to 0.974)]. Older age, lower oxygen saturation, having talked to a specialist, and having history of a cardiac condition predict hospital admission in people presenting to the emergency department with acute-on-chronic breathlessness. These clinical factors could be assessed in the community and may inform the decision regarding conveyance.
Publisher
Public Library of Science
Subject
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