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Comparison of the Agreement and Accuracy Between Paramedic and Hospital Diagnosis. Air Med J 2022; 41:228-232. [PMID: 35307148 DOI: 10.1016/j.amj.2021.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 07/06/2021] [Accepted: 10/21/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Making an accurate clinical diagnosis in the field of prehospital is of great challenge in medical services. This study aimed to determine agreement between prehospital and in-hospital diagnoses. METHODS The diagnostic agreement was determined by a comparison of the discharge diagnosis with the prehospital emergency technicians in a period of 6 months at the emergency medical services in northwest Azerbaijan. The diagnostic agreement of discharge diagnoses was compared with the fist diagnosis by the paramedics. The results were analyzed using the kappa agreement coefficient and the chi-square test. RESULTS The overall agreement between the diagnosis made by the emergency medical technicians and the hospital's first diagnosis was 67% (95% confidence interval [CI], 61%-77%; k = 0.61; 95% CI, 0.56-0.67), whereas the agreement between the first diagnosis made by the emergency medical technicians and the hospital discharge diagnosis was 58% (95% CI, 49%-65%; k = 0.42; 95% CI, 0.37-0.48).There was a high proportion of diagnostic agreement for pregnancy (100%), poisoning by drugs (88%), essential (primary) hypertension (86%), and ischemic heart diseases (72%). There was a low proportion of diagnostic agreement for weakness (39%), mixed anxiety and depressive disorder (43%), and cerebellar stroke syndrome (59%). CONCLUSION Our attention in practice and emergency medical courses should be directed to diseases that have a subjective history, such as weakness and anxiety, due to the high proportion of incorrect diagnoses by the prehospital emergency technician. It should be noted that most of the incorrectly diagnosed cases were overestimated with another coronary syndrome.
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Liao BYW, Lee MAW, Dicker B, Todd VF, Stewart R, Poppe K, Kerr A. Prehospital identification of ST-segment elevation myocardial infarction and mortality (ANZACS-QI 61). Open Heart 2022; 9:openhrt-2021-001868. [PMID: 35086917 PMCID: PMC8796269 DOI: 10.1136/openhrt-2021-001868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/05/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Early recognition of ST-segment elevation myocardial infarction (STEMI) is needed for timely cardiac monitoring and reperfusion therapy. METHODS Three anonymously linked New Zealand national datasets (July 2016-November 2018) were used to assess the utilisation of ambulance transport in STEMI cases, the concordance between ambulance initial clinical impressions and hospital STEMI diagnoses, and the association between initial paramedic clinical impressions and 30-day mortality. The St John Ambulance electronic record captures community call-outs and paramedic initial clinical impressions. The national cardiac (ANZACS-QI) registry and national administrative datasets capture all New Zealand public hospital admission diagnoses and mortality data. RESULTS Of 5465 patients with STEMI, 73% were transported to hospital by ambulance. For these patients, the initial paramedic impression was STEMI in 50.7%, another acute coronary syndrome (ACS) diagnosis in 19.9% and non-ACS diagnosis in 29.7%. Only 37% of the 5465 patients with STEMI were both transported by ambulance and clinically suspected of STEMI by paramedics. Compared with patients with paramedic-'suspected STEMI', 30-day mortality was over threefold higher for patients thought to have a non-ACS condition (10.9% and 34.9%, respectively), but after adjustment for available covariates, this was substantially ameliorated (HR 1.48, 95% CI 1.22 to 1.80). CONCLUSIONS In this national data linkage study, only 4 out of every 10 patients with STEMI were both transported by ambulance and had STEMI suspected by paramedics. Although patients with STEMI not suspected of an ACS diagnosis by paramedics had the highest mortality rate, this is largely explained by the different risk profile of these patients.
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Affiliation(s)
- Becky Yi-Wen Liao
- Department of Cardiology, Middlemore Hospital, Auckland, New Zealand .,Greenlane Cardiovascular Services, Auckland City Hospital, Auckland, New Zealand
| | | | - Bridget Dicker
- Paramedicine Research Unit, Paramedicine Department, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand.,Clinical Audit and Research, St John New Zealand, Auckland, New Zealand
| | - Verity F Todd
- Paramedicine Research Unit, Paramedicine Department, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand.,Clinical Audit and Research, St John New Zealand, Auckland, New Zealand
| | - Ralph Stewart
- Greenlane Cardiovascular Services, Auckland City Hospital, Auckland, New Zealand
| | - Katrina Poppe
- Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Andrew Kerr
- Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.,School of Medicine, University of Auckland, Auckland, New Zealand
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Lutz M, Möckel M, Lindner T, Ploner CJ, Braun M, Schmidt WU. The accuracy of initial diagnoses in coma: an observational study in 835 patients with non-traumatic disorder of consciousness. Scand J Trauma Resusc Emerg Med 2021; 29:15. [PMID: 33436034 PMCID: PMC7805149 DOI: 10.1186/s13049-020-00822-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 12/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Management of patients with coma of unknown etiology (CUE) is a major challenge in most emergency departments (EDs). CUE is associated with a high mortality and a wide variety of pathologies that require differential therapies. A suspected diagnosis issued by pre-hospital emergency care providers often drives the first approach to these patients. We aim to determine the accuracy and value of the initial diagnostic hypothesis in patients with CUE. METHODS Consecutive ED patients presenting with CUE were prospectively enrolled. We obtained the suspected diagnoses or working hypotheses from standardized reports given by prehospital emergency care providers, both paramedics and emergency physicians. Suspected and final diagnoses were classified into I) acute primary brain lesions, II) primary brain pathologies without acute lesions and III) pathologies that affected the brain secondarily. We compared suspected and final diagnosis with percent agreement and Cohen's Kappa including sub-group analyses for paramedics and physicians. Furthermore, we tested the value of suspected and final diagnoses as predictors for mortality with binary logistic regression models. RESULTS Overall, suspected and final diagnoses matched in 62% of 835 enrolled patients. Cohen's Kappa showed a value of κ = .415 (95% CI .361-.469, p < .005). There was no relevant difference in diagnostic accuracy between paramedics and physicians. Suspected diagnoses did not significantly interact with in-hospital mortality (e.g., suspected class I: OR .982, 95% CI .518-1.836) while final diagnoses interacted strongly (e.g., final class I: OR 5.425, 95% CI 3.409-8.633). CONCLUSION In cases of CUE, the suspected diagnosis is unreliable, regardless of different pre-hospital care providers' qualifications. It is not an appropriate decision-making tool as it neither sufficiently predicts the final diagnosis nor detects the especially critical comatose patient. To avoid the risk of mistriage and unnecessarily delayed therapy, we advocate for a standardized diagnostic work-up for all CUE patients that should be triggered by the emergency symptom alone and not by any suspected diagnosis.
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Affiliation(s)
- Maximilian Lutz
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Martin Möckel
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Tobias Lindner
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Christoph J Ploner
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Mischa Braun
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany.,Center for Stroke Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Wolf Ulrich Schmidt
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany. .,Center for Stroke Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
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Jangaard N, Sarkisian L, Saaby L, Mikkelsen S, Lassen AM, Marcussen N, Thomsen JL, Diederichsen ACP, Thygesen K, Mickley H. Incidence, Frequency, and Clinical Characteristics of Type 3 Myocardial Infarction in Clinical Practice. Am J Med 2017; 130:862.e9-862.e14. [PMID: 28159605 DOI: 10.1016/j.amjmed.2016.12.034] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 12/17/2016] [Accepted: 12/19/2016] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Cardiac death in a patient with symptoms and electrocardiographic changes indicative of myocardial ischemia but without available measurements of cardiac biomarkers is designated a type 3 myocardial infarction. We wanted to investigate the incidence, the frequency, and the characteristics of patients diagnosed as type 3 myocardial infarction. METHODS The occurrence of deaths in a well-defined geographic region was retrieved from the Danish Civil Registration System during a 1-year period from 2010 to 2011. Complementary data concerning causes of deaths were obtained from the Danish Register of Causes of Death, and ambulance and hospital patient files. Adjudication of the diagnosis was done by 2 local experts and one external senior cardiologist. RESULTS A total of 2766 of the 246,723 adult residents in the region had died. A type 3 myocardial infarction was diagnosed in 18 individuals, corresponding to an annual incidence of 7.3/100,000 person-years. During the same 1-year period, 488 patients had other types of myocardial infarction implying a 3.6% frequency of type 3 myocardial infarction (18 of 506) among all myocardial infarctions. CONCLUSION Type 3 myocardial infarction is a rare observation in clinical practice with an annual incidence below 10/100,000 person-years and a frequency of 3%-4% among all types of myocardial infarction. If autopsy data are included, the number of type 3 myocardial infarctions will increase.
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Affiliation(s)
| | - Laura Sarkisian
- Department of Cardiology, Odense University Hospital, Denmark
| | - Lotte Saaby
- Department of Cardiology, Odense University Hospital, Denmark
| | - Søren Mikkelsen
- Mobile Emergency Care Unit, Department of Anesthesiology and Intensive Care, Odense University Hospital, Denmark
| | - Anne Marie Lassen
- Department of Emergency Medicine, Odense University Hospital, Denmark
| | | | - Jørgen L Thomsen
- Institute of Forensic Medicine, Odense University Hospital, Denmark
| | | | | | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Denmark.
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HØJFELDT SG, SØRENSEN LP, MIKKELSEN S. Emergency patients receiving anaesthesiologist-based pre-hospital treatment and subsequently released at the scene. Acta Anaesthesiol Scand 2014; 58:1025-31. [PMID: 24888864 DOI: 10.1111/aas.12347] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/01/2014] [Indexed: 11/29/2022]
Abstract
BACKGROUND The Mobile Emergency Care Unit in Odense, Denmark consists of a rapid response car, manned with an anaesthesiologist and an emergency medical technician. Eleven per cent of the patients are released at the scene following treatment. The aim of the study was to investigate which diagnoses were assigned to patients released at the scene following treatment, to investigate the need for secondary contact with the hospital and to assess mortality in patients released at the scene. METHODS All records regarding patients released at the scene from 1 January 2008 to 31 December 2010 were investigated. In each patient, diagnosis as well as any renewed contact with the Mobile Emergency Care Unit or the hospital within 24 h was registered. RESULTS One thousand six hundred nine: patients were released at the scene. Diagnoses within the category 'examination and investigation' [International Classification of Diseases 10th revision (ICD-10) chapter XXI] represented the largest group of patients (28%). Diseases not elsewhere classified (ICD-10 chapter XVIII) including 'syncope and collapse' represented the second largest group of patients (24%). One hundred thirteen (7%) had a renewed contact with the Mobile Emergency Care Unit within 24 h. Of the 143 victims of traffic accidents, 19 (13%) required renewed contact with the emergency department and one required admission to hospital (0.7%). Of all 1609 patients, four died within 24 h of contact (0.2%). CONCLUSION Patients treated and released at the scene presented poorly defined conditions. Ninety-three per cent of all cases required no secondary contacts with the health care system. However, caution should be exercised when releasing patients at the scene following traffic accidents.
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Affiliation(s)
- S. G. HØJFELDT
- Mobile Emergency Care Unit; Department of Anaesthesiology and Intensive Care; Odense University Hospital; Odense Denmark
| | - L. P. SØRENSEN
- Mobile Emergency Care Unit; Department of Anaesthesiology and Intensive Care; Odense University Hospital; Odense Denmark
| | - S. MIKKELSEN
- Mobile Emergency Care Unit; Department of Anaesthesiology and Intensive Care; Odense University Hospital; Odense Denmark
- Institute of Clinical Research; University of Southern Denmark; Odense Denmark
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