ArticlePloS one2019
Symptom, diagnosis and mortality among respiratory emergency medical service patients.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04091334 (Monitoring Patients With Acute Dyspnea With Serial Focused Ultrasound of the Heart and the Lungs), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Monitoring Patients With Acute Dyspnea With Serial Focused Ultrasound of the Heart and the Lungs
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Point-of-care ultrasound improves clinical outcomes in patients with acute onset dyspnea: a systematic review and meta-analysis.Internal and emergency medicine · 2023Pooled it
- Monitoring patients with acute dyspnea with serial point-of-care ultrasound of the inferior vena cava (IVC) and the lungs (LUS): a systematic review.Journal of ultrasound · 2022Pooled it
- Impact of serial cardiopulmonary point-of-care ultrasound exams in patients with acute dyspnoea: a randomised, controlled trial.Emergency medicine journal : EMJ · 2023Trial
- Point-of-care ultrasound of the heart and lungs in patients with respiratory failure: a pragmatic randomized controlled multicenter trial.Scandinavian journal of trauma, resuscitation and emergency medicine · 2021Trial
- Impact of Prehospital Lung Ultrasound on Diagnostic Precision and Hospital Transport in Patients with Dyspnea and Respiratory Failure: A Retrospective Comparative Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- AI-Based Algorithm to Detect Heart and Lung Disease From Acute Chest Computed Tomography Scans: Protocol for an Algorithm Development and Validation Study.JMIR research protocols · 2025Article
- Performance of an ultrasound diagnostic algorithm for acute dyspneic patients in the emergency department: an EMERALD-US protocol.BMJ open · 2025Article
- Prehospital Performance of Five Early Warning Scores to Predict Long-Term Mortality in Patients with Suspected Respiratory Infections.Diagnostics (Basel, Switzerland) · 2025Article
- Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.BMC medical informatics and decision making · 2025Observational
- Telemedicine for prehospital respiratory emergencies in a retrospective quality analysis.Scientific reports · 2025Article
- Prognosis of patients with nonspecific electrocardiogram findings in a Tanzanian emergency department.American heart journal · 2025Article
- Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study.BMC emergency medicine · 2025Observational
- Machine Learning Models for Differentiating Causes of Dyspnea in Emergency Department Patients: A Retrospective Study.Journal of multidisciplinary healthcare · 2025Article
- Decrease of haemoconcentration reliably detects hydrostatic pulmonary oedema in dyspnoeic patients in the emergency department - a machine learning approach.International journal of emergency medicine · 2024Article
- More emergency patients presenting with chest pain.PloS one · 2023Article
- Alliance chain-based simulation on a new clinical research data pricing model.Annals of translational medicine · 2022Article
- Patients' lived experiences of breathlessness prior to prehospital care - A phenomenological study.Nursing open · 2022Article
- How Patients Who Are Transported by Ambulance Experience Dyspnea and the Use of a Dyspnea Scale: A Qualitative Study.Healthcare (Basel, Switzerland) · 2022Article
- Observational
- Emergency hospitalization caused by non-COVID-19 respiratory diseases before and during the COVID-19 pandemic: A retrospective observational cohort study.Frontiers in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBreathing difficulties and respiratory diseases have been under-reported in Emergency Medical Services research, despite these conditions being prevalent with substantial mortality. Our aim was two-fold; 1) to investigate the diagnostic pattern and mortality among EMS patients to whom an ambulance was dispatched due to difficulty breathing, and 2) to investigate the initial symptoms and mortality for EMS patients diagnosed with respiratory diseases in hospital.
methodsPopulation-based historic cohort study in the North Denmark Region 2012-2015. We included two patient groups; 1) patients calling the emergency number with breathing difficulty as main symptom, and 2) patients diagnosed with respiratory diseases in hospital following an emergency call. Main outcome was estimated 1- and 30-day mortality rates.
resultsThere were 3803 patients with the symptom breathing difficulty, nearly half were diagnosed with respiratory diseases 47.3%, followed by circulatory diseases 13.4%, and symptoms and signs 12.0%. The 1-day mortality rate was highest for circulatory diseases, then respiratory diseases and other factors. Over-all 30-day mortality was 13.2%, and the highest rate was for circulatory diseases (17.7%) then respiratory diseases and other factors. A total of 4014 patients were diagnosed with respiratory diseases, 44.8% had the symptom breathing difficulty, 13.4% unclear problems and 11.3%. chest pain/heart disease. 1-day mortality rates were highest for decreased consciousness, then breathing difficulties and unclear problem. Over-all 30-day mortality rates were 12.5%, the highest with symptoms of decreased consciousness (19.1%), then unclear problem and breathing difficulty. There was an overlap of 1797 patients between the two groups.
conclusionsThe over-all mortality rates alongside the distribution of symptoms and diagnoses, suggest the breathing difficulty patient group is complex and has severe health problems. These findings may be able to raise awareness towards the patient group, and thereby increase focus on diagnostics and treatment to improve the patient outcome.
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