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Gavelli F, Castello LM, Monnet X, Azzolina D, Nerici I, Priora S, Via VG, Bertoli M, Foieni C, Beltrame M, Bellan M, Sainaghi PP, De Vita N, Patrucco F, Teboul JL, Avanzi GC. Decrease of haemoconcentration reliably detects hydrostatic pulmonary oedema in dyspnoeic patients in the emergency department - a machine learning approach. Int J Emerg Med 2024; 17:114. [PMID: 39237860 PMCID: PMC11375861 DOI: 10.1186/s12245-024-00698-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 08/26/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND Haemoglobin variation (ΔHb) induced by fluid transfer through the intestitium has been proposed as a useful tool for detecting hydrostatic pulmonary oedema (HPO). However, its use in the emergency department (ED) setting still needs to be determined. METHODS In this observational retrospective monocentric study, ED patients admitted for acute dyspnoea were enrolled. Hb values were recorded both at ED presentation (T0) and after 4 to 8 h (T1). ΔHb between T1 and T0 (ΔHbT1-T0) was calculated as absolute and relative value. Two investigators, unaware of Hb values, defined the cause of dyspnoea as HPO and non-HPO. ΔHbT1-T0 ability to detect HPO was evaluated. A machine learning approach was used to develop a predictive tool for HPO, by considering the ability of ΔHb as covariate, together with baseline patient characteristics. RESULTS Seven-hundred-and-six dyspnoeic patients (203 HPO and 503 non-HPO) were enrolled over 19 months. Hb levels were significantly different between HPO and non-HPO patients both at T0 and T1 (p < 0.001). ΔHbT1-T0 were more pronounced in HPO than non-HPO patients, both as relative (-8.2 [-11.2 to -5.6] vs. 0.6 [-2.1 to 3.3] %) and absolute (-1.0 [-1.4 to -0.8] vs. 0.1 [-0.3 to 0.4] g/dL) values (p < 0.001). A relative ΔHbT1-T0 of -5% detected HPO with an area under the receiver operating characteristic curve (AUROC) of 0.901 [0.896-0.906]. Among the considered models, Gradient Boosting Machine showed excellent predictive ability in identifying HPO patients and was used to create a web-based application. ΔHbT1-T0 was confirmed as the most important covariate for HPO prediction. CONCLUSIONS ΔHbT1-T0 in patients admitted for acute dyspnoea reliably identifies HPO in the ED setting. The machine learning predictive tool may represent a performing and clinically handy tool for confirming HPO.
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Affiliation(s)
- Francesco Gavelli
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy.
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy.
- Service de médecine intensive-réanimation, Hôpital de Bicêtre, Le Kremlin-Bicêtre, Hôpitaux universitaires Paris- Saclay, APHP, rue du Général Leclerc, Paris, France.
| | - Luigi Mario Castello
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Xavier Monnet
- Service de médecine intensive-réanimation, Hôpital de Bicêtre, Le Kremlin-Bicêtre, Hôpitaux universitaires Paris- Saclay, APHP, rue du Général Leclerc, Paris, France
| | - Danila Azzolina
- Department of Environmental and Preventive Science, University of Ferrara, Ferrara, Italy
| | - Ilaria Nerici
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Simona Priora
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Valentina Giai Via
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Matteo Bertoli
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Claudia Foieni
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Michela Beltrame
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
| | - Mattia Bellan
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
| | - Pier Paolo Sainaghi
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
| | - Nello De Vita
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
| | - Filippo Patrucco
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
| | - Jean-Louis Teboul
- Service de médecine intensive-réanimation, Hôpital de Bicêtre, Le Kremlin-Bicêtre, Hôpitaux universitaires Paris- Saclay, APHP, rue du Général Leclerc, Paris, France
| | - Gian Carlo Avanzi
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, Via Solaroli 17, Novara, 28100, Italy
- Emergency Medicine Department, AOU Maggiore della Carità di Novara, C.so Mazzini 18, Novara, 28100, Italy
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Ovesen SH, Skaarup SH, Aagaard R, Kirkegaard H, Løfgren B, Arvig MD, Bibby BM, Posth S, Laursen CB, Weile J. Effect of a Point-of-Care Ultrasound-Driven vs Standard Diagnostic Pathway on 24-Hour Hospital Stay in Emergency Department Patients with Dyspnea-Protocol for A Randomized Controlled Trial. Open Access Emerg Med 2024; 16:211-219. [PMID: 39221420 PMCID: PMC11365495 DOI: 10.2147/oaem.s454062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
Purpose Point-of-care ultrasound (POCUS) helps emergency department (ED) physicians make prompt and appropriate decisions, but the optimal diagnostic integration and potential clinical benefits remain unclear. We describe the protocol and statistical analysis plan for a randomized controlled trial. The objective is to determine the effect of a POCUS-driven diagnostic pathway in adult dyspneic ED patients on the proportion of patients having a hospital stay of less than 24 hours when compared to the standard diagnostic pathway. Patients and Methods This is a multicenter, randomized, investigator-initiated, open-labeled, pragmatic, controlled trial. Adult ED patients with chief complaint dyspnea are eligible. Patients are randomized (1:1) to the POCUS-driven diagnostic pathway or standard diagnostic pathway, with 337 patients in each group. The primary outcome is the proportion of patients having a hospital stay (from ED arrival to hospital discharge) of less than 24 hours. Key secondary outcomes include hospital length-of-stay, 72-hour revisits, and 30-day hospital-free days. Conclusion Sparse evidence exists for any clinical benefit from a POCUS-integrated diagnostic pathway. The results from this trial will help clarify the promising signals for POCUS to influence patient care among ED patients with dyspnea.
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Affiliation(s)
- Stig Holm Ovesen
- Research Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
- Emergency Department, Horsens Regional Hospital, Horsens, Denmark
| | - Søren Helbo Skaarup
- Department of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark
| | - Rasmus Aagaard
- Department of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark
| | - Hans Kirkegaard
- Research Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Bo Løfgren
- Research Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
- Department of Internal Medicine, Randers Regional Hospital, Randers, Denmark
| | - Michael Dan Arvig
- Emergency Department, Slagelse Hospital, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Bo Martin Bibby
- Department of Biostatistics, Aarhus University, Aarhus, Denmark
| | - Stefan Posth
- Emergency Department, Odense University Hospital, Odense, Denmark
| | - Christian B Laursen
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
- Odense Respiratory Research Unit (ODIN), Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jesper Weile
- Research Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
- Emergency Department, Horsens Regional Hospital, Horsens, Denmark
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3
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Shinde V, Mavudelli SJ. The Use of High-Flow Nasal Cannula in the Emergency Department and a Comparison of Its Efficacy With Noninvasive Ventilation. Cureus 2024; 16:e65709. [PMID: 39211709 PMCID: PMC11361467 DOI: 10.7759/cureus.65709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 07/29/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND High-flow nasal cannula (HFNC) oxygenation has emerged as a convenient and handy oxygenation mode over the past few years, especially during the COVID-19 pandemic. HFNC is designed to provide humidified oxygen at high flow rates to subjects in a much more patient-compliant method. Noninvasive ventilation (NIV) has been a powerful tool in treating dyspneic patients of different etiologies, yielding positive outcomes over many decades. HFNC has the potential to serve as an alternative to NIV for acutely breathless patients, offering better patient compliance. METHODS A prospective observational study was conducted with a population size of 100 patients. The patients were randomly assigned to HFNC and NIV groups and further compared based on the clinical criteria, arterial oxygen pressure (PaO2)/fraction of inspired oxygen (FiO2) ratios, and modified Borg score. Simple proportions, mean, standard deviation, and chi-square tests were used. The chi-square test was applied to determine the association between the two attributes. RESULTS Both HFNC and NIV subset populations have shown substantial improvement in their clinical criteria in terms of respiratory rate, heart rate, oxygen saturation, PaO2/FiO2 ratios, and modified Borg score over two and six hours with statistically significant improvement in oxygen saturations among HFNC subset in comparison to NIV subset (at two hours, p = 0.004; at six hours, p = 0.022). Secondary outcomes like the need for intubation (14% in HFNC, 22% in NIV) and mortality (4% in HFNC, 6% in NIV group) were noted, which were statistically insignificant in comparing their efficacy. CONCLUSION The study concluded that HFNC resulted in better clinical parameters than NIV, but the difference was statistically insignificant except for oxygen saturation. Similarly, HFNC resulted in a decreased need for intubation and less mortality compared to NIV.
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Affiliation(s)
- Varsha Shinde
- Department of Emergency Medicine, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, IND
| | - Sharmila J Mavudelli
- Department of Emergency Medicine, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, IND
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Strehlow M, Alvarez A, Blomkalns AL, Caretta-Wyer H, Gharahbaghian L, Imler D, Khan A, Lee M, Lobo V, Newberry JA, Riberia R, Sebok-Syer S, Shen S, Gisondi MA. Precision emergency medicine. Acad Emerg Med 2024. [PMID: 38940478 DOI: 10.1111/acem.14962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 04/13/2024] [Accepted: 05/23/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Precision health is a burgeoning scientific discipline that aims to incorporate individual variability in biological, behavioral, and social factors to develop personalized health solutions. To date, emergency medicine has not deeply engaged in the precision health movement. However, rapid advances in health technology, data science, and medical informatics offer new opportunities for emergency medicine to realize the promises of precision health. METHODS In this article, we conceptualize precision emergency medicine as an emerging paradigm and identify key drivers of its implementation into current and future clinical practice. We acknowledge important obstacles to the specialty-wide adoption of precision emergency medicine and offer solutions that conceive a successful path forward. RESULTS Precision emergency medicine is defined as the use of information and technology to deliver acute care effectively, efficiently, and authentically to individual patients and their communities. Key drivers and opportunities include leveraging human data, capitalizing on technology and digital tools, providing deliberate access to care, advancing population health, and reimagining provider education and roles. Overcoming challenges in equity, privacy, and cost is essential for success. We close with a call to action to proactively incorporate precision health into the clinical practice of emergency medicine, the training of future emergency physicians, and the research agenda of the specialty. CONCLUSIONS Precision emergency medicine leverages new technology and data-driven artificial intelligence to advance diagnostic testing, individualize patient care plans and therapeutics, and strategically refine the convergence of the health system and the community.
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Affiliation(s)
- Matthew Strehlow
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Al'ai Alvarez
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Andra L Blomkalns
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Holly Caretta-Wyer
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Laleh Gharahbaghian
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Daniel Imler
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Ayesha Khan
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Moon Lee
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Viveta Lobo
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Jennifer A Newberry
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Ryan Riberia
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Stefanie Sebok-Syer
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Sam Shen
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Michael A Gisondi
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
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5
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Fan CY, Chen CH, Chen JW, Chang JH, Huang EPC, Sung CW. Chief complaints and computed tomography results in the emergency department: a three-year retrospective cohort study. BMC Emerg Med 2024; 24:87. [PMID: 38764022 PMCID: PMC11103846 DOI: 10.1186/s12873-024-01003-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 05/10/2024] [Indexed: 05/21/2024] Open
Abstract
BACKGROUND Computed tomography (CT) is frequently performed in the patients who admitted to the emergency department (ED), discharged but returned to ED within 72 h. It is unknown whether the main complaints of patients assist physicians to use CT effectively. This study aimed to find the association between chief complaints and the CT results. METHODS This three-year retrospective cohort study was conducted in the ED of a tertiary medical center. Adult patients who returned to the ED after the index visit were included from 2019 to 2021. Demographics, pre-existing diseases, chief complaints, and CT region were recorded by independent ED physicians. A logistic regression model with an odds ratio (OR) and 95% confidence interval (CI) was used to determine the relationship between chief complaints and positive CT results. RESULTS In total, 7,699 patients revisited ED after the index visit; 1,202 (15.6%) received CT. The top chief complaints in patients who received CT were abdominal pain, dizziness, and muscle weakness. Patients with abdominal pain or gastrointestinal symptoms had a significantly higher rate of positive abdominopelvic CT than those without it (OR 2.83, 95% CI 1.98-4.05, p < 0.001), while the central nervous system and cardiopulmonary chief complaints were not associated (or negatively associated) with new positive CT findings. CONCLUSION Chief complaints of patients on revisit to the ED are associated with different yields of new findings when CT scans of the chest, abdomen and head are performed. Physicians should consider these differential likelihoods of new positive findings based on these data.
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Affiliation(s)
- Cheng-Yi Fan
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, 300, Taiwan
| | - Chi-Hsin Chen
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, 300, Taiwan
| | - Jiun-Wei Chen
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, 300, Taiwan
| | - Jia-How Chang
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, 300, Taiwan
- Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, 100, Taiwan
| | - Edward Pei-Chuan Huang
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, 300, Taiwan
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, 100, Taiwan
- Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, 100, Taiwan
| | - Chih-Wei Sung
- Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, 300, Taiwan.
- Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, 100, Taiwan.
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6
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Lee SY(J, Alzeen M, Ahmed A. Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing. J Am Med Inform Assoc 2024; 31:958-967. [PMID: 38349846 PMCID: PMC10990499 DOI: 10.1093/jamia/ocae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/15/2024] Open
Abstract
OBJECTIVES The study aims to assess racial and language disparities in pediatric emergency department (ED) triage using analytical techniques and provide insights into the extent and nature of the disparities in the ED setting. MATERIALS AND METHODS The study analyzed a cross-sectional dataset encompassing ED visits from January 2019 to April 2021. The study utilized analytical techniques, including K-mean clustering (KNN), multivariate adaptive regression splines (MARS), and natural language processing (NLP) embedding. NLP embedding and KNN were employed to handle the chief complaints and categorize them into clusters, while the MARS was used to identify significant interactions among the clinical features. The study also explored important variables, including age-adjusted vital signs. Multiple logistic regression models with varying specifications were developed to assess the robustness of analysis results. RESULTS The study consistently found that non-White children, especially African American (AA) and Hispanic, were often under-triaged, with AA children having >2 times higher odds of receiving lower acuity scores compared to White children. While the results are generally consistent, incorporating relevant variables modified the results for specific patient groups (eg, Asians). DISCUSSION By employing a comprehensive analysis methodology, the study checked the robustness of the analysis results on racial and language disparities in pediatric ED triage. The study also recognized the significance of analytical techniques in assessing pediatric health conditions and analyzing disparities. CONCLUSION The study's findings highlight the significant need for equal and fair assessment and treatment in the pediatric ED, regardless of their patients' race and language.
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Affiliation(s)
- Seung-Yup (Joshua) Lee
- Department of Health Services Administration, School of Health Professions, The University of Alabama at Birmingham, Birmingham, AL 35233, United States
| | - Mohammed Alzeen
- Department of Health Services Administration, School of Health Professions, The University of Alabama at Birmingham, Birmingham, AL 35233, United States
| | - Abdulaziz Ahmed
- Department of Health Services Administration, School of Health Professions, The University of Alabama at Birmingham, Birmingham, AL 35233, United States
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Bhatnagar R, Berge K, Røysland R, Høiseth AD, Brynildsen J, Christensen G, Omland T, Røsjø H, Lyngbakken MN. Cardiac Troponin T and NT-proBNP for Prediction of 30-Day Readmission or Death in Patients with Acute Dyspnea: Data from the Akershus Cardiac Examination 2 Study. Cardiology 2023; 148:506-516. [PMID: 37544298 PMCID: PMC10733942 DOI: 10.1159/000533266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 07/24/2023] [Indexed: 08/08/2023]
Abstract
INTRODUCTION N-terminal pro-B-type natriuretic peptide (NT-proBNP) and cardiac troponin T (cTnT) measurements are recommended in patients with acute dyspnea. We aimed to assess the prognostic merit of cTnT compared to NT-proBNP for 30-day readmission or death in patients hospitalized with acute dyspnea. METHODS We measured cTnT and NT-proBNP within 24 h in 314 patients hospitalized with acute dyspnea and adjudicated the cause of the index admission. Time to first event of readmission or death ≤30 days after hospital discharge was recorded, and cTnT and NT-proBNP measurements were compared head-to-head. RESULTS Patients who died (12/314) or were readmitted (71/314) within 30 days had higher cTnT concentrations (median: 32.6, Q1-Q3: 18.4-74.2 ng/L vs. median: 19.4, Q1-Q3: 8.4-36.1 ng/L; p for comparison <0.001) and NT-proBNP concentrations (median: 1,753.6, Q1-Q3: 464.2-6,862.0 ng/L vs. median 984, Q1-Q3 201-3,600 ng/L; for comparison p = 0.027) compared to patients who survived and were not readmitted. cTnT concentrations were associated with readmission or death within 30 days after discharge both in the total cohort (adjusted hazard ratio [aHR]: 1.64, 95% confidence interval [CI]: 1.30-2.05) and in patients with heart failure (HF) (aHR: 1.58, 95% CI: 1.14-2.18). In contrast, NT-proBNP concentrations were not associated with short-term events, neither in the total cohort (aHR: 1.10, 95% CI: 0.94-1.30) nor in patients with adjudicated HF (aHR: 1.06, 95% CI: 0.80-1.40). CONCLUSION cTnT concentrations are associated with 30-day readmission or death in patients hospitalized with acute dyspnea, as well as in patients adjudicated HF.
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Affiliation(s)
- Rahul Bhatnagar
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway,
- K.G. Jebsen Center for Cardiac Biomarkers, University of Oslo, Oslo, Norway,
| | - Kristian Berge
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
- K.G. Jebsen Center for Cardiac Biomarkers, University of Oslo, Oslo, Norway
| | - Ragnhild Røysland
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division for Diagnostics and Technology, Akershus University Hospital, Lørenskog, Norway
| | - Arne Didrik Høiseth
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Jon Brynildsen
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Geir Christensen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Torbjørn Omland
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
- K.G. Jebsen Center for Cardiac Biomarkers, University of Oslo, Oslo, Norway
| | - Helge Røsjø
- K.G. Jebsen Center for Cardiac Biomarkers, University of Oslo, Oslo, Norway
- Division of Research and Innovation, Akershus University Hospital, Lørenskog, Norway
| | - Magnus Nakrem Lyngbakken
- Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
- K.G. Jebsen Center for Cardiac Biomarkers, University of Oslo, Oslo, Norway
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Santus P, Radovanovic D, Saad M, Zilianti C, Coppola S, Chiumello DA, Pecchiari M. Acute dyspnea in the emergency department: a clinical review. Intern Emerg Med 2023; 18:1491-1507. [PMID: 37266791 PMCID: PMC10235852 DOI: 10.1007/s11739-023-03322-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/22/2023] [Indexed: 06/03/2023]
Abstract
Acute dyspnea represents one of the most frequent symptoms leading to emergency room evaluation. Its significant prognostic value warrants a careful evaluation. The differential diagnosis of dyspnea is complex due to the lack of specificity and the loose association between its intensity and the severity of the underlying pathological condition. The initial assessment of dyspnea calls for prompt diagnostic evaluation and identification of optimal monitoring strategy and provides information useful to allocate the patient to the most appropriate setting of care. In recent years, accumulating evidence indicated that lung ultrasound, along with echocardiography, represents the first rapid and non-invasive line of assessment that accurately differentiates heart, lung or extra-pulmonary involvement in patients with dyspnea. Moreover, non-invasive respiratory support modalities such as high-flow nasal oxygen and continuous positive airway pressure have aroused major clinical interest, in light of their efficacy and practicality to treat patients with dyspnea requiring ventilatory support, without using invasive mechanical ventilation. This clinical review is focused on the pathophysiology of acute dyspnea, on its clinical presentation and evaluation, including ultrasound-based diagnostic workup, and on available non-invasive modalities of respiratory support that may be required in patients with acute dyspnea secondary or associated with respiratory failure.
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Affiliation(s)
- Pierachille Santus
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Via G.B. Grassi 74, 20157, Milan, Italy.
- Department of Biomedical and Clinical Sciences (DIBIC), Università Degli Studi Di Milano, Milan, Italy.
| | - Dejan Radovanovic
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Via G.B. Grassi 74, 20157, Milan, Italy
- Department of Biomedical and Clinical Sciences (DIBIC), Università Degli Studi Di Milano, Milan, Italy
| | - Marina Saad
- Division of Respiratory Diseases, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Via G.B. Grassi 74, 20157, Milan, Italy
| | - Camilla Zilianti
- Department of Pathophysiology and Transplantation, Università Degli Studi Di Milano, Milan, Italy
| | - Silvia Coppola
- Department of Anesthesia and Intensive Care, ASST Santi Paolo E Carlo, Ospedale Universitario San Paolo, Milan, Italy
| | - Davide Alberto Chiumello
- Department of Anesthesia and Intensive Care, ASST Santi Paolo E Carlo, Ospedale Universitario San Paolo, Milan, Italy
- Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy
- Coordinated Research Center On Respiratory Failure, Università Degli Studi Di Milano, Milan, Italy
| | - Matteo Pecchiari
- Department of Pathophysiology and Transplantation, Università Degli Studi Di Milano, Milan, Italy
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Szabó GV, Szigetváry C, Szabó L, Dembrovszky F, Rottler M, Ocskay K, Madzsar S, Hegyi P, Molnár Z. Point-of-care ultrasound improves clinical outcomes in patients with acute onset dyspnea: a systematic review and meta-analysis. Intern Emerg Med 2023; 18:639-653. [PMID: 36310302 PMCID: PMC10017566 DOI: 10.1007/s11739-022-03126-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/06/2022] [Indexed: 11/05/2022]
Abstract
The early, appropriate management of acute onset dyspnea is important but often challenging. The aim of this study was to investigate the effects of the use of Point-of-Care Ultrasound (PoCUS) versus conventional management on clinical outcomes in patients with acute onset dyspnea. The Cochrane Library, MEDLINE, EMBASE and reference lists were searched to identify eligible trials (inception to October 14, 2021). There were no language restrictions. Randomized controlled trials (RCTs), and prospective and retrospective cohort studies that compared PoCUS with conventional diagnostic modalities (controls) in patients with acute onset dyspnea were included. Two independent reviewers extracted data and assessed the risk of bias. Disagreements were resolved by consensus. The primary study outcomes were time to diagnosis, time to treatment, and length of stay (LOS). Secondary outcomes included rate of appropriate treatment, 30-day re-admission rate, and mortality. We included eight RCTs and six observational studies with a total of 5393 participants. Heterogeneity across studies was variable (from low to considerable), with overall low or moderate study quality and low or moderate risk of bias (except one article with serious risk of bias). Time to diagnosis (mean difference [MD], - 63 min; 95% CI, - 115 to - 11 min] and time to treatment (MD, - 27 min; 95% CI - 43 to - 11 min) were significantly shorter in the PoCUS group. In-hospital LOS showed no differences between the two groups, but LOS in the Intensive Care Unit (MD, - 1.27 days; - 1.94 to - 0.61 days) was significantly shorter in the PoCUS group. Patients in the PoCUS group showed significantly higher odds of receiving appropriate therapy compared to controls (odds ratio [OR], 2.31; 95% CI, 1.61-3.32), but there was no significant effect on 30-day re-admission rate and in-hospital or 30-day mortality. Our results indicate that PoCUS use contributes to early diagnosis and better outcomes compared to conventional methods in patients admitted with acute onset dyspnea.
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Affiliation(s)
- Gergő Vilmos Szabó
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- Emergency Department, Szent György University Teaching Hospital of Fejér County, Székesfehérvár, Hungary
- National Ambulance Service, Budapest, Hungary
- Hungarian Air Ambulance Nonprofit Ltd., Budaörs, Hungary
| | - Csenge Szigetváry
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- Department of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary
| | - László Szabó
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Fanni Dembrovszky
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Máté Rottler
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Department of Anesthesiology and Intensive Therapy, Szent György University Teaching Hospital of Fejér County, Székesfehérvár, Hungary
| | - Klemetina Ocskay
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Stefanie Madzsar
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Péter Hegyi
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- Division of Pancreatic Diseases, Heart and Vascular Centre, Semmelweis University, Budapest, Hungary
| | - Zsolt Molnár
- Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary.
- Department of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary.
- Department of Anesthesiology and Intensive Therapy, Poznan University, Poznan, Poland.
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