1
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Martens ESL, Huisman MV, van Mens TE, Klok FA. The History of Diagnosing Venous Thromboembolism. Semin Thromb Hemost 2024; 50:739-750. [PMID: 38373722 DOI: 10.1055/s-0044-1779484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
An accurate and prompt diagnosis of deep vein thrombosis and/or pulmonary embolism is important to prevent serious complications and mortality. Because the clinical presentation of venous thromboembolism (VTE) is often nonspecific, objective testing by means of radiological imaging is required to confirm the diagnosis. Historically, a diagnosis of VTE involved invasive imaging techniques like contrast venography or conventional pulmonary angiography. Technological developments toward more accurate and less invasive diagnostics have driven the implementation of a variety of newer technologies over the past decades, as well as the derivation and validation of clinical decision rules (CDRs) that can be used to rule out VTE in combination with D-dimer blood tests. In this narrative review, we provide a historical overview of the most notable developments in the imaging techniques and CDRs for VTE diagnosis.
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Affiliation(s)
- Emily S L Martens
- Department of Medicine-Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Menno V Huisman
- Department of Medicine-Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Thijs E van Mens
- Department of Medicine-Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Frederikus A Klok
- Department of Medicine-Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
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2
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Coutinho JM, van de Munckhof A, Aguiar de Sousa D, Poli S, Aaron S, Arauz A, Conforto AB, Krzywicka K, Hiltunen S, Lindgren E, Sánchez van Kammen M, Shu L, Bakchoul T, Belder R, van den Berg R, Boumans E, Cannegieter S, Cano-Nigenda V, Field TS, Fragata I, Heldner MR, Hernández-Pérez M, Klok FA, Leker RR, Lucas-Neto L, Molad J, Nguyen TN, Saaltink DJ, Saposnik G, Sharma P, Stam J, Thijs V, van der Vaart M, Werring DJ, Wong Ramos D, Yaghi S, Yeşilot N, Tatlisumak T, Putaala J, Jood K, Arnold M, Ferro JM. Reducing the global burden of cerebral venous thrombosis: An international research agenda. Int J Stroke 2024; 19:599-610. [PMID: 38494462 PMCID: PMC11292977 DOI: 10.1177/17474930241242266] [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: 01/31/2024] [Accepted: 03/04/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Due to the rarity of cerebral venous thrombosis (CVT), performing high-quality scientific research in this field is challenging. Providing answers to unresolved research questions will improve prevention, diagnosis, and treatment, and ultimately translate to a better outcome of patients with CVT. We present an international research agenda, in which the most important research questions in the field of CVT are prioritized. AIMS This research agenda has three distinct goals: (1) to provide inspiration and focus to research on CVT for the coming years, (2) to reinforce international collaboration, and (3) to facilitate the acquisition of research funding. SUMMARY OF REVIEW This international research agenda is the result of a research summit organized by the International Cerebral Venous Thrombosis Consortium in Amsterdam, the Netherlands, in June 2023. The summit brought together 45 participants from 15 countries including clinical researchers from various disciplines, patients who previously suffered from CVT, and delegates from industry and non-profit funding organizations. The research agenda is categorized into six pre-specified themes: (1) epidemiology and clinical features, (2) life after CVT, (3) neuroimaging and diagnosis, (4) pathophysiology, (5) medical treatment, and (6) endovascular treatment. For each theme, we present two to four research questions, followed by a brief substantiation per question. The research questions were prioritized by the participants of the summit through consensus discussion. CONCLUSIONS This international research agenda provides an overview of the most burning research questions on CVT. Answering these questions will advance our understanding and management of CVT, which will ultimately lead to improved outcomes for CVT patients worldwide.
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Affiliation(s)
- Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Anita van de Munckhof
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Diana Aguiar de Sousa
- Stroke Center, Centro Hospitalar Universitário Lisboa Central, Institute of Anatomy, Faculdade de Medicina, Universidade de Lisboa, and L Lopes Lab, Instituto de Medicina Molecular JLA, Lisbon, Portugal
| | - Sven Poli
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | | | - Antonio Arauz
- Instituto Nacional de Neurologia y Neurocirugia Manuel Velasco Suarez, Mexico City, Mexico
| | - Adriana B Conforto
- LIM-44, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Katarzyna Krzywicka
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Sini Hiltunen
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Erik Lindgren
- Department of Neurology, Sahlgrenska University Hospital and Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Mayte Sánchez van Kammen
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Liqi Shu
- Brown University, Providence, RI, USA
| | - Tamam Bakchoul
- Centre for Clinical Transfusion Medicine, Medical Faculty of Tübingen, University of Tübingen, Tübingen, Germany
| | - Rosalie Belder
- Netherlands Thrombosis Foundation, Voorschoten, The Netherlands
| | - René van den Berg
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | | | - Suzanne Cannegieter
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Vanessa Cano-Nigenda
- Instituto Nacional de Neurologia y Neurocirugia Manuel Velasco Suarez, Mexico City, Mexico
| | - Thalia S Field
- Vancouver Stroke Program, Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Isabel Fragata
- Stroke Center, Centro Hospitalar Universitário Lisboa Central, Institute of Anatomy, Faculdade de Medicina, Universidade de Lisboa, and L Lopes Lab, Instituto de Medicina Molecular JLA, Lisbon, Portugal
- NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal
| | - Mirjam R Heldner
- Inselspital Bern, University Hospital and University of Bern, Bern, Switzerland
| | | | - Frederikus A Klok
- Department of Medicine—Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Ronen R Leker
- Hadassah—Hebrew University Medical Center, Jerusalem, Israel
| | - Lia Lucas-Neto
- North Lisbon University Hospital Center and Lisbon Medical School, Lisbon, Portugal
| | | | | | | | - Gustavo Saposnik
- Stroke Outcomes & Decision Neuroscience Research Unit, University of Toronto, Toronto, ON, Canada
| | - Pankaj Sharma
- Royal Holloway University of London, London, United Kingdom
| | - Jan Stam
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Vincent Thijs
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | | | - David J Werring
- UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Diana Wong Ramos
- Portugal AVC-União de Sobreviventes, Familiares e Amigos, Portugal
| | | | - Nilüfer Yeşilot
- Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Turgut Tatlisumak
- Department of Neurology, Sahlgrenska University Hospital and Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Jukka Putaala
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Katarina Jood
- Department of Neurology, Sahlgrenska University Hospital and Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Marcel Arnold
- Inselspital Bern, University Hospital and University of Bern, Bern, Switzerland
| | - José M Ferro
- Hospital da Luz, University of Lisbon, Lisbon, Portugal
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la Roi-Teeuw HM, van Royen FS, de Hond A, Zahra A, de Vries S, Bartels R, Carriero AJ, van Doorn S, Dunias ZS, Kant I, Leeuwenberg T, Peters R, Veerhoek L, van Smeden M, Luijken K. Don't be misled: 3 misconceptions about external validation of clinical prediction models. J Clin Epidemiol 2024; 172:111387. [PMID: 38729274 DOI: 10.1016/j.jclinepi.2024.111387] [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: 02/20/2024] [Revised: 04/24/2024] [Accepted: 05/02/2024] [Indexed: 05/12/2024]
Abstract
Clinical prediction models provide risks of health outcomes that can inform patients and support medical decisions. However, most models never make it to actual implementation in practice. A commonly heard reason for this lack of implementation is that prediction models are often not externally validated. While we generally encourage external validation, we argue that an external validation is often neither sufficient nor required as an essential step before implementation. As such, any available external validation should not be perceived as a license for model implementation. We clarify this argument by discussing 3 common misconceptions about external validation. We argue that there is not one type of recommended validation design, not always a necessity for external validation, and sometimes a need for multiple external validations. The insights from this paper can help readers to consider, design, interpret, and appreciate external validation studies.
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Affiliation(s)
- Hannah M la Roi-Teeuw
- Department of General Practice and Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
| | - Florien S van Royen
- Department of General Practice and Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Anne de Hond
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Anum Zahra
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Sjoerd de Vries
- Department of Digital Health, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands; Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands
| | - Richard Bartels
- Department of Digital Health, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands; Department of Data Science and Biostatistics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Alex J Carriero
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Sander van Doorn
- Department of General Practice and Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Zoë S Dunias
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Ilse Kant
- Department of Digital Health, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Tuur Leeuwenberg
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Ruben Peters
- Department of Digital Health, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Laura Veerhoek
- Department of Digital Health, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Maarten van Smeden
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands; Department of Data Science and Biostatistics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - Kim Luijken
- Department of Epidemiology and Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
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Valente Silva B, Jorge C, Plácido R, Nobre Menezes M, Mendonça C, Luísa Urbano M, Rigueira J, G Almeida A, Pinto FJ. Comparison of the accuracy of four diagnostic prediction rules for pulmonary embolism in patients admitted to the emergency department. Rev Port Cardiol 2024:S0870-2551(24)00106-9. [PMID: 38663529 DOI: 10.1016/j.repc.2024.02.006] [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: 05/10/2023] [Revised: 12/21/2023] [Accepted: 02/07/2024] [Indexed: 07/12/2024] Open
Abstract
INTRODUCTION AND OBJECTIVES Ruling out pulmonary embolism (PE) through a combination of clinical assessment and D-dimer level can potentially avoid excessive use of computed tomography pulmonary angiography (CTPA). We aimed to compare the diagnostic accuracy of the standard approach based on the Wells and Geneva scores combined with a standard D-dimer cut-off (500 ng/ml), with three alternative strategies (age-adjusted and the YEARS and PEGeD algorithms) in patients admitted to the emergency department (ED) with suspected PE. METHODS Consecutive outpatients admitted to the ED who underwent CTPA due to suspected PE were retrospectively assessed. Sensitivity, specificity, positive and negative predictive values, likelihood ratios and diagnostic odds ratios were calculated and compared between the different diagnostic prediction rules. RESULTS We included 1402 patients (mean age 69±18 years, 54% female), and PE was confirmed in 25%. Compared to the standard approach (p<0.001), an age-adjusted strategy increased specificity with a non-significant decrease in sensitivity only in patients older than 70 years. Compared to the standard and age-adjusted approaches, the YEARS and PEGeD algorithms had the highest specificity across all ages, but were associated with a significant decrease in sensitivity (p<0.001), particularly in patients aged under 60 years (sensitivity of 81% in patients aged between 51 and 60 years). CONCLUSION Compared to the standard approach, all algorithms were associated with increased specificity. The age-adjusted strategy was the only one not associated with a significant decrease in sensitivity compared to the standard approach, enabling CTPA requests to be reduced safely.
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Affiliation(s)
- Beatriz Valente Silva
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
| | - Cláudia Jorge
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Rui Plácido
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Miguel Nobre Menezes
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Carlos Mendonça
- Radiology Department, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
| | - Maria Luísa Urbano
- Radiology Department, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal
| | - Joana Rigueira
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Ana G Almeida
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Fausto J Pinto
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
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Maughan BC, Jarman AF, Redmond A, Geersing GJ, Kline JA. Pulmonary embolism. BMJ 2024; 384:e071662. [PMID: 38331462 DOI: 10.1136/bmj-2022-071662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Affiliation(s)
- Brandon C Maughan
- Department of Emergency Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Angela F Jarman
- Department of Emergency Medicine, University of California Davis, Sacramento, CA
| | | | - Geert-Jan Geersing
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Jeffrey A Kline
- Department of Emergency Medicine, Wayne State School of Medicine, Detroit, MI
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Xiong W, Cheng Y, Zhao Y. Risk Scores in Venous Thromboembolism Guidelines of ESC, ACCP, and ASH: An Updated Review. Clin Appl Thromb Hemost 2024; 30:10760296241263856. [PMID: 38887044 PMCID: PMC11185021 DOI: 10.1177/10760296241263856] [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: 03/22/2024] [Revised: 05/24/2024] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
Abstract
Venous thromboembolism (VTE) is associated with high morbidity and mortality. Risk scores associated with VTE have been widely used in clinical practice. Among numerous scores published, those included in guidelines are usually typical risk scores which have been extensively validated and globally recognized. This review provides an updated overview of the risk scores associated with VTE endorsed by 3 guidelines which are highly recognized in the field of VTE including the European Society of Cardiology, American College of Chest Physicians, and American Society of Hematology, focusing on the development, modification, validation, and comparison of these scores, to provide a comprehensive and updated understanding of all the classic risk scores associated with VTE to medical readers including but not limited to cardiologists, pulmonologists, hematologists, intensivists, physicians, surgeons, and researchers. Although each score recommended by these guidelines was more or less validated, there may still be room for further improvement. It may still be necessary to seek simpler, more practical, and more universally applicable VTE-related risk scores in the future.
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Affiliation(s)
- Wei Xiong
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yi Cheng
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yunfeng Zhao
- Department of Pulmonary and Critical Care Medicine, Punan Hospital, Pudong New District, Shanghai, China
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Zhao Y, Cheng Y, Wang H, Du H, Sun J, Xu M, Luo Y, Liu S, Guo X, Xiong W. The Legend score synthesizes Wells, PERC, Geneva, D-dimer and predicts acute pulmonary embolism prior to imaging tests. Pulmonology 2023:S2531-0437(23)00195-2. [PMID: 37953212 DOI: 10.1016/j.pulmoe.2023.10.002] [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: 07/07/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/14/2023] Open
Abstract
INTRODUCTION The prediction rules of acute pulmonary embolism(PE) before imaging tests recommended by the commonly used guidelines have low diagnostic efficiency if not combined with D-dimer, therefore it is necessary to seek for a prediction rule with higher diagnostic efficiency. METHODS We designed a new score named Legend by synthesizing the scores of Wells, PERC, and Geneva, as well as D-dimer with patients in the development group(n = 2112), and then validated it in patients of validation group(n = 388). Diagnostic efficiency was also compared between Legend score and Wells+D-dimer (DD), PERC+DD, Geneva+DD, and YEARS+DD(YEAR algorithm). RESULTS The Legend score comprised active cancer, D-dimer≥1000 ng/mL, DVT symptoms and/or signs, previous venous thromboembolism (VTE) history, and surgery, trauma, or immobilization in the past month. The sensitivity, specificity, Youden index, and area under the curve(AUC) were 0.985, 0.744, 0.729, and (0.861[0.796-0.925], P<0.001), respectively, for original Legend score, whereas were 0.982, 0.778, 0.760, and (0.871[0.823-0.920], P<0.001), respectively, for simplified Legend score. The Kappa coefficient and P value of McNemar test were 0.988 and 1.000, respectively, between the original and simplified Legend scores. In the validation group, the sensitivity, specificity, Youden index, and C-index were 0.971, 0.749, 0.720, and (0.838[0.781-0.896], P<0.001), respectively, for the original Legend score, whereas were 0.986, 0.715, 0.701, and (0.816[0.750-0.880], P = 0.001) respectively, for the simplified Legend score. The Kappa coefficient and P value of McNemar test between original Legend score and Wells+DD, PERC+DD, Geneva+DD, and YEARS+DD were (0.563, 0.001), (0.139, <0.001), (0.631, 0.006), and (0.732, 0.029), respectively. The Kappa coefficient and P value of McNemar test between simplified Legend score and aforementioned scores were (0.675, 0.009), (0.172, <0.001), (0.747, 0.001), and (0.883, 0.012), respectively. DISCUSSION In view of the fact the Legend score reserves the efficient predictors and eliminates the inefficient ones in Wells, PERC, and revised Geneva scores, and incorporates D-dimer into it, a more efficient, modified, and user-friendly one has replaced the original ones. CONCLUSIONS The Legend score yields excellent diagnostic efficiency with good safety in the pretest prediction of acute PE prior to imaging tests. It also avoids more unnecessary imaging tests than Wells+DD, PERC+DD, Geneva+DD, or YEARS+DD.
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Affiliation(s)
- Yunfeng Zhao
- Department of Pulmonary and Critical Care Medicine, Punan Hospital, Pudong New District, Shanghai, China
| | - Yi Cheng
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hongwei Wang
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - He Du
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jinyuan Sun
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mei Xu
- Department of General Practice, North Bund Community Health Service Center, Hongkou District, Shanghai, China
| | - Yong Luo
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Song Liu
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuejun Guo
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei Xiong
- Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
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van Maanen R, Martens ESL, Takada T, Roy PM, de Wit K, Parpia S, Kraaijpoel N, Huisman MV, Wells PS, Le Gal G, Righini M, Freund Y, Galipienzo J, van Es N, Blom JW, Moons KGM, Rutten FH, van Smeden M, Klok FA, Geersing GJ, Luijken K. Accuracy of physicians' intuitive risk estimation in the diagnostic management of pulmonary embolism: an individual patient data meta-analysis. J Thromb Haemost 2023; 21:2873-2883. [PMID: 37263381 DOI: 10.1016/j.jtha.2023.05.023] [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: 01/27/2023] [Revised: 05/04/2023] [Accepted: 05/23/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND In patients clinically suspected of having pulmonary embolism (PE), physicians often rely on intuitive estimation ("gestalt") of PE presence. Although shown to be predictive, gestalt is criticized for its assumed variation across physicians and lack of standardization. OBJECTIVES To assess the diagnostic accuracy of gestalt in the diagnosis of PE and gain insight into its possible variation. METHODS We performed an individual patient data meta-analysis including patients suspected of having PE. The primary outcome was diagnostic accuracy of gestalt for the diagnosis of PE, quantified as risk ratio (RR) between gestalt and PE based on 2-stage random-effect log-binomial meta-analysis regression as well as gestalts' sensitivity and specificity. The variability of these measures was explored across different health care settings, publication period, PE prevalence, patient subgroups (sex, heart failure, chronic lung disease, and items of the Wells score other than gestalt), and age. RESULTS We analyzed 20 770 patients suspected of having PE from 16 original studies. The prevalence of PE in patients with and without a positive gestalt was 28.8% vs 9.1%, respectively. The overall RR was 3.02 (95% CI, 2.35-3.87), and the overall sensitivity and specificity were 74% (95% CI, 68%-79%) and 61% (95% CI, 53%-68%), respectively. Although variation was observed across individual studies (I2, 90.63%), the diagnostic accuracy was consistent across all subgroups and health care settings. CONCLUSION A positive gestalt was associated with a 3-fold increased risk of PE in suspected patients. Although variation was observed across studies, the RR of gestalt was similar across prespecified subgroups and health care settings, exemplifying its diagnostic value for all patients suspected of having PE.
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Affiliation(s)
- Rosanne van Maanen
- Department of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Emily S L Martens
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands. https://twitter.com/ESLmartens
| | - Toshihiko Takada
- Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, Fukushima, Japan
| | - Pierre-Marie Roy
- Department of Emergency Medicine, Angers University Hospital; MitoVasc UMR CNRS 6015 - INSERM 1083, Université Angers, Angers; and French Clinical Research Infrastructure (F-CRIN) Network, INvestigation Network On Venous Thrombo-Embolism (INNOVTE), Saint-Etienne, France
| | - Kerstin de Wit
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Emergency Medicine, Queen's University, Kingston, Canada
| | - Sameer Parpia
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Oncology, McMaster University, Hamilton, Canada
| | - Noémie Kraaijpoel
- Department of Medicine, Amsterdam University Medical Center, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Menno V Huisman
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Philip S Wells
- Department of Medicine, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Grégoire Le Gal
- Department of Medicine, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Marc Righini
- Division of Angiology and Hemostasis, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Yonathan Freund
- Sorbonne University, Emergency Department, Hopital Pitie-Salpêtrière, Assistance Publique-Hopitaux de Paris, Paris, France
| | - Javier Galipienzo
- Service of Anesthesiology, MD Anderson Cancer Center Madrid, Madrid, Spain
| | - Nick van Es
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, the Netherlands
| | - Jeanet W Blom
- Department of General Practice, Leiden University Medical Center, Leiden, the Netherlands
| | - Karel G M Moons
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Frans H Rutten
- Department of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Maarten van Smeden
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Frederikus A Klok
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Geert-Jan Geersing
- Department of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kim Luijken
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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9
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Zhu YJ, Huo Y. Clinical gestalt in identifying pulmonary embolism: does one size fit all? J Thromb Haemost 2023; 21:2702-2704. [PMID: 37739587 DOI: 10.1016/j.jtha.2023.06.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 06/26/2023] [Indexed: 09/24/2023]
Affiliation(s)
- Yong-Jian Zhu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China.
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10
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Truong P, Mazzolai L, Font C, Ciammaichella M, González-Martínez J, Tufano A, Gavín-Sebastián O, Le Mao R, Monreal M, Hugli O. Safety of the pulmonary embolism rule-out criteria rule: Findings from the Registro Informatizado de la Enfermedad TromboEmbolica venosa (RIETE) registry. Acad Emerg Med 2023; 30:935-945. [PMID: 37092646 DOI: 10.1111/acem.14744] [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: 01/11/2023] [Revised: 03/29/2023] [Accepted: 04/20/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND The diagnostic strategy for pulmonary embolism (PE) includes a D-dimer test when PE probability is low or intermediate, but false-positive D-dimer results are frequent and can result in an unnecessary computed tomography pulmonary angiogram. The PE rule-out criteria (PERC) rule excludes PE without D-dimer testing when pretest probability is <15%. The aim of this study was to assess the safety of the PERC rule strategy in patients included in the Registro Informatizado de la Enfermedad TromboEmbolica venosa (RIETE) registry. METHODS This retrospective cohort study used data from the RIETE registry, an ongoing, international prospective registry of patients with objectively confirmed venous thromboembolism. The primary outcome was the failure rate of the PERC strategy, represented by the proportion of PERC-negative (PERC-N) patients with a PE included in the registry. Secondary outcomes were a comparison of the clinical characteristics, treatment strategy, and outcome of PERC-N versus PERC-positive (PERC-P) patients at 3 months. RESULTS From 2001 to 2021, a total of 49,793 patients with acute PE were enrolled in the RIETE registry. We included 48,903 in the final analysis after exclusion of 890 patients with an undetermined PERC status. Only 346 patients were PERC-N with a failure rate of 0.7% (95% confidence interval 0.6%-0.8%). PERC-N patients presented more frequently with chest pain but less often with dyspnea, syncope, or hypotension. They also had subsegmental or segmental PE more frequently, were more often treated with direct oral anticoagulants, and received mechanical or pharmacological thrombolysis less often. In addition, PERC-N patients had a lower incidence of recurrent deep vein thrombosis, major bleeding, and death attributed to PE during the 3-month follow-up. CONCLUSIONS A low failure rate of the PERC rule was observed in the RIETE registry, thus supporting its use to safely identify patients with an unlikely probability of PE.
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Affiliation(s)
- Perrine Truong
- Department of Emergency Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Lucia Mazzolai
- Department of Angiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Carme Font
- Department of Medical Oncology, Hospital Clínic, Barcelona, Spain
| | | | - José González-Martínez
- Department of Internal Medicine, Hospital Universitari Sant Joan de Déu, Fundació Althaia, Manresa, Barcelona, Spain
| | - Antonella Tufano
- Regional Reference Centre, Federico II University Hospital, Naples, Italy
| | - Olga Gavín-Sebastián
- Department of Haematology, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | - Raphael Le Mao
- Department of Internal Medicine, CHRU Brest, Brest, France
| | - Manuel Monreal
- Faculty of Health Sciences, UCAM-Universidad Católica San Antonio de Murcia, Murcia, Spain
- CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Olivier Hugli
- Department of Emergency Medicine, Lausanne University Hospital, Lausanne, Switzerland
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11
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Jarman AF, Mumma BE, White R, Dooley E, Yang NT, Taylor SL, Newgard C, Morris C, Cloutier J, Maughan BC. Sex differences in guideline-consistent diagnostic testing for acute pulmonary embolism among adult emergency department patients aged 18-49. Acad Emerg Med 2023; 30:896-905. [PMID: 36911917 PMCID: PMC10497718 DOI: 10.1111/acem.14722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/02/2023] [Accepted: 03/05/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Pulmonary embolism (PE) is a frequent diagnostic consideration in emergency department (ED) patients, yet diagnosis is challenging because symptoms of PE are nonspecific. Guidelines recommend the use of clinical decision tools to increase efficiency and avoid harms from overtesting, including D-dimer screening in patients not at high risk for PE. Women undergo testing for PE more often than men yet have a lower yield from testing. Our study objective was to determine whether patient sex influenced the odds of received guideline-consistent care. METHODS We performed a retrospective cohort study at two large U.S. academic EDs from January 1, 2016, to December 31, 2018. Nonpregnant patients aged 18-49 years were included if they presented with chest pain, shortness of breath, hemoptysis, or syncope and underwent testing for PE with D-dimer or imaging. Demographic and clinical data were exported from the electronic medical record (EMR). Pretest risk scores were calculated using manually abstracted EMR data. Diagnostic testing was then compared with recommended testing based on pretest risk. The primary outcome was receipt of guideline-consistent care, which required an elevated screening D-dimer prior to imaging in all non-high-risk patients. RESULTS We studied 1991 discrete patient encounters; 37% (735) of patients were male and 63% (1256) were female. Baseline characteristics, including revised Geneva scores, were similar between sexes. Female patients were more likely to receive guideline-consistent care (70% [874/1256] female vs. 63% [463/735] male, p < 0.01) and less likely to be diagnosed with PE (3.1% [39/1256] female vs. 5.3% [39/735] male, p < 0.05). The most common guideline deviation in both sexes was obtaining imaging without a screening D-dimer in a non-high-risk patient (75% [287/382] female vs. 75% [205/272] male). CONCLUSIONS In this cohort, females were more likely than males to receive care consistent with current guidelines and less likely to be diagnosed with PE.
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Affiliation(s)
- Angela F Jarman
- Department of Emergency Medicine, University of California-Davis, School of Medicine, Sacramento, CA, USA
| | - Bryn E Mumma
- Department of Emergency Medicine, University of California-Davis, School of Medicine, Sacramento, CA, USA
| | - Richard White
- Department of Internal Medicine, Division of Rheumatology, University of California-Davis, School of Medicine, Sacramento, CA, USA
| | - Emily Dooley
- University of California-Davis, School of Medicine, Sacramento, CA, USA
| | - Nuen Tsang Yang
- Department of Public Health Sciences, University of California-Davis, School of Medicine, Sacramento, CA, USA
| | - Sandra L. Taylor
- Department of Public Health Sciences, University of California-Davis, School of Medicine, Sacramento, CA, USA
| | - Craig Newgard
- Department of Emergency Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Cynthia Morris
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
| | - Jared Cloutier
- School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Brandon C Maughan
- Department of Emergency Medicine, Oregon Health and Science University, Portland, OR, USA
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12
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van Es N, Takada T, Kraaijpoel N, Klok FA, Stals MAM, Büller HR, Courtney DM, Freund Y, Galipienzo J, Le Gal G, Ghanima W, Huisman MV, Kline JA, Moons KGM, Parpia S, Perrier A, Righini M, Robert-Ebadi H, Roy PM, Wells PS, de Wit K, van Smeden M, Geersing GJ. Diagnostic management of acute pulmonary embolism: a prediction model based on a patient data meta-analysis. Eur Heart J 2023; 44:3073-3081. [PMID: 37452732 PMCID: PMC10917087 DOI: 10.1093/eurheartj/ehad417] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/25/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023] Open
Abstract
AIMS Risk stratification is used for decisions regarding need for imaging in patients with clinically suspected acute pulmonary embolism (PE). The aim was to develop a clinical prediction model that provides an individualized, accurate probability estimate for the presence of acute PE in patients with suspected disease based on readily available clinical items and D-dimer concentrations. METHODS AND RESULTS An individual patient data meta-analysis was performed based on sixteen cross-sectional or prospective studies with data from 28 305 adult patients with clinically suspected PE from various clinical settings, including primary care, emergency care, hospitalized and nursing home patients. A multilevel logistic regression model was built and validated including ten a priori defined objective candidate predictors to predict objectively confirmed PE at baseline or venous thromboembolism (VTE) during follow-up of 30 to 90 days. Multiple imputation was used for missing data. Backward elimination was performed with a P-value <0.10. Discrimination (c-statistic with 95% confidence intervals [CI] and prediction intervals [PI]) and calibration (outcome:expected [O:E] ratio and calibration plot) were evaluated based on internal-external cross-validation. The accuracy of the model was subsequently compared with algorithms based on the Wells score and D-dimer testing. The final model included age (in years), sex, previous VTE, recent surgery or immobilization, haemoptysis, cancer, clinical signs of deep vein thrombosis, inpatient status, D-dimer (in µg/L), and an interaction term between age and D-dimer. The pooled c-statistic was 0.87 (95% CI, 0.85-0.89; 95% PI, 0.77-0.93) and overall calibration was very good (pooled O:E ratio, 0.99; 95% CI, 0.87-1.14; 95% PI, 0.55-1.79). The model slightly overestimated VTE probability in the lower range of estimated probabilities. Discrimination of the current model in the validation data sets was better than that of the Wells score combined with a D-dimer threshold based on age (c-statistic 0.73; 95% CI, 0.70-0.75) or structured clinical pretest probability (c-statistic 0.79; 95% CI, 0.76-0.81). CONCLUSION The present model provides an absolute, individualized probability of PE presence in a broad population of patients with suspected PE, with very good discrimination and calibration. Its clinical utility needs to be evaluated in a prospective management or impact study. REGISTRATION PROSPERO ID 89366.
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Affiliation(s)
- Nick van Es
- Amsterdam University Medical Center, Department of Vascular Medicine, University of Amsterdam, Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Toshihiko Takada
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1247, Japan
| | - Noémie Kraaijpoel
- Amsterdam University Medical Center, Department of Vascular Medicine, University of Amsterdam, Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Frederikus A Klok
- Department of Medicine, Thrombosis and Hemostasis, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, Zuid-Holland, The Netherlands
| | - Milou A M Stals
- Department of Medicine, Thrombosis and Hemostasis, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, Zuid-Holland, The Netherlands
| | - Harry R Büller
- Amsterdam University Medical Center, Department of Vascular Medicine, University of Amsterdam, Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - D Mark Courtney
- Department of Emergency Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA
| | - Yonathan Freund
- Emergency Department, Sorbonne University, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, 47-83 Bd de l'Hôpital, 75013 Paris, France
| | - Javier Galipienzo
- Service of Anesthesiology, MD Anderson Cancer Center Madrid, C. de Arturo Soria, 270, 28033 Madrid, Spain
| | - Grégoire Le Gal
- Department of Medicine, University of Ottawa, and the Ottawa Hospital Research Institute, 725 Parkdale Ave, Ottawa, ON K1Y 4E9, Canada
| | - Waleed Ghanima
- Departments of Hemato-oncology and Research, Østfold hospital, Kalnesveien 300, 1714 Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Klaus Torgårds vei 3, 0372 Oslo, Oslo, Norway
| | - Menno V Huisman
- Department of Medicine, Thrombosis and Hemostasis, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, Zuid-Holland, The Netherlands
| | - Jeffrey A Kline
- Department of Emergency Medicine, Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI 4820, USA
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Sameer Parpia
- Department of Health Research Methods, Evidence, & Impact, McMaster University, 1200 Main St W, Hamilton, ON L8N 3Z5, Canada
- Department of Oncology, McMaster University, Juravinski Cancer Centre, 699 Concession St. Suite 4-204, Hamilton, Ontario, Canada
| | - Arnaud Perrier
- Division of Angiology and Hemostasis, Geneva University Hospitals and Faculty of Medicine, Rue Michel-Servet 1, 1206 Genève, Switzerland
| | - Marc Righini
- Division of Angiology and Hemostasis, Geneva University Hospitals and Faculty of Medicine, Rue Michel-Servet 1, 1206 Genève, Switzerland
| | - Helia Robert-Ebadi
- Division of Angiology and Hemostasis, Geneva University Hospitals and Faculty of Medicine, Rue Michel-Servet 1, 1206 Genève, Switzerland
| | - Pierre-Marie Roy
- Emergency Department, CHU Angers, UNIV Angers, 4 Rue Larrey, 49100 Angers, Maine-et-Loire, France
| | - Phil S Wells
- Department of Medicine, University of Ottawa, and the Ottawa Hospital Research Institute, 725 Parkdale Ave, Ottawa, ON K1Y 4E9, Canada
| | - Kerstin de Wit
- Department of Emergency Medicine, Queen's University, 76 Stuart Street, Kingston ON K7L 2V7, Canada
- Department of Medicine, McMaster University, McMaster Children's Hospital, 1200 Main Street West, Hamilton, L8N 3Z5 Ontario, Canada
- Department of Health Evidence and Impact, McMaster University, 1200 Main St W, Hamilton, ON L8N 3Z5, Canada
| | - Maarten van Smeden
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Geert-Jan Geersing
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
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13
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Robert-Ebadi H, Roy PM, Sanchez O, Verschuren F, Le Gal G, Righini M. External validation of the PEGeD diagnostic algorithm for suspected pulmonary embolism in an independent cohort. Blood Adv 2023; 7:3946-3951. [PMID: 36521170 PMCID: PMC10410134 DOI: 10.1182/bloodadvances.2022007729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 12/23/2022] Open
Abstract
Sequential diagnostic algorithms are used in the case of suspected pulmonary embolism (PE). The PEGeD study proposed a new diagnostic strategy to reduce the use of computed tomography pulmonary angiography (CTPA). We aimed to externally validate this diagnostic strategy in an independent cohort. We analyzed data from 3 prospective studies of outpatients with suspected PE. As per the PEGeD algorithm, patients were classified as having a low, moderate, or high clinical pretest probability (C-PTP). PE was excluded with a D-dimer <1000 ng/mL in case of low C-PTP and <500 ng/mL in case of moderate C-PTP. We assessed the yield and safety of this approach and compared them with those of previously validated algorithms. Among the 3308 evaluated patients, 1615 (49%) patients could have had PE excluded according to the PEGeD algorithm, without the need for imaging. Of these patients, 38 (2.3%; 95% confidence interval [CI], 1.7-3.2) were diagnosed with a symptomatic PE at initial testing or during the 3-month follow-up. On further analysis, 36 patients out of these 38 patients had a positive age-adjusted D-dimer. The risk of venous thromboembolic events among the 414 patients with a D-dimer <1000 ng/mL but above the age-adjusted D-dimer cut-off was 36 of 414 (8.7%; 95% CI, 6.4-11.8). We provide external validation of the PEGeD algorithm in an independent cohort. Compared with standard algorithms, the PEGeD decreased the number of CTPA examinations. However, caution is required in patients with a low C-PTP and a D-dimer <1000 ng/mL but above their age-adjusted D-dimer cut-off.
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Affiliation(s)
- Helia Robert-Ebadi
- Division of Angiology and Hemostasis and Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Pierre-Marie Roy
- Department of Emergency Medicine, University Hospital of Angers, Angers, France
| | - Olivier Sanchez
- Department of Respiratory Disease, Hôpital Européen Georges Pompidou, APHP, and Université Paris Descartes, Paris, France
| | - Frank Verschuren
- Emergency Department, Saint-Luc University Hospital, Brussels, Belgium
| | - Grégoire Le Gal
- Department of Medicine, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Marc Righini
- Division of Angiology and Hemostasis and Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
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14
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Duffy J, Berger FH, Cheng I, Shelton D, Galanaud JP, Selby R, Laing K, Fedorovsky T, Matelski J, Hall J. Implementation of the YEARS algorithm to optimise pulmonary embolism diagnostic workup in the emergency department. BMJ Open Qual 2023; 12:bmjoq-2022-002119. [PMID: 37217241 DOI: 10.1136/bmjoq-2022-002119] [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: 09/03/2022] [Accepted: 04/29/2023] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Excessive use of CT pulmonary angiography (CTPA) to investigate pulmonary embolism (PE) in the emergency department (ED) contributes to adverse patient outcomes. Non-invasive D-dimer testing, in the context of a clinical algorithm, may help decrease unnecessary imaging but this has not been widely implemented in Canadian EDs. AIM To improve the diagnostic yield of CTPA for PE by 5% (absolute) within 12 months of implementing the YEARS algorithm. MEASURES AND DESIGN Single centre study of all ED patients >18 years investigated for PE with D-dimer and/or CTPA between February 2021 and January 2022. Primary and secondary outcomes were the diagnostic yield of CTPA and frequency of CTPA ordered compared with baseline. Process measures included the percentage of D-dimer tests ordered with CTPA and CTPAs ordered with D-dimers <500 µg/L Fibrinogen Equivalent Units (FEU). The balancing measure was the number of PEs identified on CTPA within 30 days of index visit. Multidisciplinary stakeholders developed plan- do-study-act cycles based on the YEARS algorithm. RESULTS Over 12 months, 2695 patients were investigated for PE, of which 942 had a CTPA. Compared with baseline, the CTPA yield increased by 2.9% (12.6% vs 15.5%, 95% CI -0.06% to 5.9%) and the proportion of patients that underwent CTPA decreased by 11.4% (46.4% vs 35%, 95% CI -14.1% to -8.8%). The percentage of CTPAs ordered with a D-dimer increased by 26.3% (30.7% vs 57%, 95% CI 22.2% 30.3%) and there were two missed PE (2/2695, 0.07%). IMPACT Implementing the YEARS criteria may safely improve the diagnostic yield of CTPAs and reduce the number of CTPAs completed without an associated increase in missed clinically significant PEs. This project provides a model for optimising the use of CTPA in the ED.
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Affiliation(s)
- Juliana Duffy
- Division of Emergency Medicine, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ferco Henricus Berger
- Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Ivy Cheng
- Division of Emergency Medicine, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Emergency Services, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Dominick Shelton
- Department of Emergency Services, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Family & Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jean-Philippe Galanaud
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Rita Selby
- Department of Laboratory Medicine & Pathobiology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Laboratory Medicine & Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Kristine Laing
- Department of Emergency Services, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Tali Fedorovsky
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John Matelski
- Biostatistics Research Unit, University Health Network, Toronto, Ontario, Canada
| | - Justin Hall
- Division of Emergency Medicine, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Emergency Services, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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15
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de Wit K, Al-Haimus F, Hu Y, Ikesaka R, Chan N, Ibrahim Q, Klyn J, Clayton N, Germini F. Comparison of YEARS and Adjust-Unlikely D-dimer Testing for Pulmonary Embolism in the Emergency Department. Ann Emerg Med 2023; 81:558-565. [PMID: 36371248 DOI: 10.1016/j.annemergmed.2022.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/05/2022] [Accepted: 09/19/2022] [Indexed: 11/12/2022]
Abstract
STUDY OBJECTIVE We prospectively assessed the diagnostic accuracy of YEARS and a modified age-adjusted clinical decision rule ("Adjust-Unlikely") for pulmonary embolism (PE) testing in the emergency department. METHODS This study was conducted in tertiary care Canadian emergency departments. When the D-dimer was <500 ng/ml, PE was excluded. Pulmonary imaging for PE was performed when the D-dimer was ≥500 ng/ml. Patients were followed for 30 days, and PE outcomes were independently adjudicated. Physicians systematically recorded the presence or absence of YEARS items (PE most likely, hemoptysis, signs of deep venous thrombosis) prior to D-dimer testing and imaging. We analyzed the diagnostic accuracy of YEARS and the "Adjust-Unlikely" rule. Age adjustment (age x 10 in those >50 years old) was applied in patients where PE was not the most likely diagnosis and 500 ng/ml threshold when PE was most likely. RESULTS One thousand seven hundred three patients were included, median age 62 (50, 74), 58% female, PE prevalence 8.0%. YEARS sensitivity for PE diagnosis was 92.6% (87.0, 96.0%) and specificity 45.0% (42.5, 47.5%). Adjust-Unlikely sensitivity was 100.0% (97.2, 100.0%) and specificity 32.4% (30.1, 34.8%). Posttest probability of PE in the group of patients with PE excluded by D-dimer between 500 ng/ml and the adjusted limit was 2.8% (1.6, 5.1%) for YEARS and 0.0% (0.0, 2.6%) for the "Adjust-Unlikely" rule. CONCLUSION The "Adjust-Unlikely" rule would modestly reduce imaging and identify all cases of PE. YEARS would substantially reduce imaging but miss 1 in 14 cases of PE.
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Affiliation(s)
- Kerstin de Wit
- Department of Emergency Medicine and Medicine, Queens University, Kingston, and Division of Emergency Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
| | - Fayad Al-Haimus
- Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Yang Hu
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Rick Ikesaka
- Division of Hematology and Thromboembolism, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Noel Chan
- Division of Hematology and Thromboembolism, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Quazi Ibrahim
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Joshua Klyn
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Natasha Clayton
- Department of Medicine, McMaster University, Hamilton, ON, Canada; Emergency Department, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Federico Germini
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; Division of Hematology and Thromboembolism, Department of Medicine, McMaster University, Hamilton, ON, Canada
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16
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Banks C, Gangathimmaiah V, Emeto TI, Jones L, Furyk J. Raising the D-dimer threshold for ruling out pulmonary embolism: A single-site, observational study with a historical comparison. Emerg Med Australas 2023; 35:200-204. [PMID: 36117393 DOI: 10.1111/1742-6723.14089] [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: 07/19/2022] [Revised: 08/22/2022] [Accepted: 08/28/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The objective of this study was to assess the impact of introduction of a new pulmonary embolism (PE) diagnostic guideline with a raised D-dimer threshold. METHODS This is a single-site, observational, cohort study with a historical comparison. The new guideline raised the D-dimer threshold to 1000 ng/mL for most patients with a Wells' score of 4 or less. Patients investigated for PE with a D-dimer level and/or definitive imaging in 6-month periods before and after the introduction of the guideline were eligible. Patients with D-dimers of 500-1000 ng/mL were prospectively followed up at 3 months for missed PE. RESULTS During the pre-intervention period, 688 patients were investigated for PE, 366 (53.2%) received definitive imaging and 39 PE were diagnosed (5.7% overall, 10.7% of those imaged). For the 121 patients with D-dimers ≥500 and <1000 ng/mL, 87 (71.9%) were imaged with 7 (5.8%) having a PE diagnosed. Post intervention there were 930 patients, of which 426 (45.8%) received definitive chest imaging and there were 50 patients with PE diagnosed (5.4% overall, 11.7% of those imaged). For the 185 patients with D-dimers ≥500 and <1000 ng/mL, 60 (32.4%) were imaged with 5 (2.7%) having PE diagnosed. No cases of missed PE were identified at 3 months. CONCLUSION The introduction of the new guideline was associated with a reduction in overall imaging rates without evidence of missed PE. Further evaluation in other settings is recommended.
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Affiliation(s)
- Colin Banks
- Emergency Department, Townsville University Hospital, Townsville, Queensland, Australia
- College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia
| | - Vinay Gangathimmaiah
- Emergency Department, Townsville University Hospital, Townsville, Queensland, Australia
- College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia
| | - Theophilus I Emeto
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
- World Health Organization Collaborating Centre for Vector-borne and Neglected Tropical Diseases, James Cook University, Townsville, Queensland, Australia
- Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia
| | - Leonie Jones
- Emergency Department, Townsville University Hospital, Townsville, Queensland, Australia
| | - Jeremy Furyk
- College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia
- Emergency Department, University Hospital Geelong, Geelong, Victoria, Australia
- School of Medicine, Deakin University, Geelong, Victoria, Australia
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Fitzmaurice DA, Geersing GJ, Armoiry X, Machin S, Kitchen S, Mackie I. ICSH guidance for INR and D-dimer testing using point of care testing in primary care. Int J Lab Hematol 2023; 45:276-281. [PMID: 36882063 DOI: 10.1111/ijlh.14051] [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: 09/22/2022] [Accepted: 02/17/2023] [Indexed: 03/09/2023]
Abstract
This guideline has been written on behalf of the International Council for Standardisation in Haematology (ICSH) and focuses on two point of care haematology tests used within primary care, namely International Normalised Ratio (INR) and D-dimer. Primary care covers out of hospital settings and can include General Practice (GP), Pharmacy and other non-hospital settings (although these guidelines would also be applicable to hospital out-patient settings). The recommendations are based on published data in peer reviewed literature and expert opinion; they should supplement regional requirements, regulations or standards.
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Affiliation(s)
| | - Geert-Jan Geersing
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Xavier Armoiry
- Claude Bernard University Lyon 1, Lyon School of Pharmacy (ISPB), Lyon, France
| | - Sam Machin
- Research Haematology Department, University College London, London, UK
| | - Steve Kitchen
- Sheffield Haemophilia and Thrombosis Centre, Sheffield, UK
| | - Ian Mackie
- Research Haematology Department, University College London, London, UK
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18
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Stals MAM, Moumneh T, Ainle FN, Aujesky D, van Bemmel T, Bertoletti L, Bistervels IM, Chauleur C, Couturaud F, van Dooren YPA, Elias A, Faber LM, Le Gall C, Hofstee HMA, van der Hulle T, Kruip MJHA, Maignan M, Mairuhu ATA, Middeldorp S, Le Moigne E, Nijkeuter M, van der Pol LM, Robert-Ebadi H, Roy PM, Sanchez O, Schmidt J, van Smeden M, Tromeur C, Wolde MT, Righini M, Le Gal G, Huisman MV, Klok FA. Noninvasive diagnostic work-up for suspected acute pulmonary embolism during pregnancy: a systematic review and meta-analysis of individual patient data. J Thromb Haemost 2023; 21:606-615. [PMID: 36696189 DOI: 10.1016/j.jtha.2022.11.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 11/11/2022] [Accepted: 11/15/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Few studies evaluated the performance of noninvasive diagnostic strategies for suspected acute pulmonary embolism (PE) in pregnant women. OBJECTIVES The aim of this study was to establish the safety and efficiency of the Wells rule with fixed and adapted D-dimer threshold, and the YEARS algorithm, combined with compression ultrasonography (CUS), in pregnant women with suspected PE in an individual patient data meta-analysis. METHODS We performed a systematic review to identify prospective diagnostic management studies in pregnant women with suspected PE. Primary outcomes were safety, defined as the failure rate, ie, the 3-month venous thromboembolism (VTE) incidence after excluding PE without chest imaging, and efficiency, defined as the proportion of patients in whom chest imaging could be avoided. RESULTS We identified 2 relevant studies, of which individual patient-level data were analyzed in a fixed-effect meta-analysis, totaling 893 pregnant women. The Wells rule with fixed and adapted D-dimer threshold as well as the YEARS algorithm could safely rule out acute PE (failure rate, 0·37%-1·4%), but efficiency improved considerably when applying pretest probability-adapted D-dimer thresholds. The efficiency of bilateral CUS was limited (2·3% overall; number needed to test 43), especially in patients without symptoms of deep-vein thrombosis (efficiency 0·79%; number needed to test 127). CONCLUSION This study supports the latest guideline recommendations (European Society of Cardiology 2019) to apply pretest probability assessment and D-dimer tests to rule out PE in pregnant women. From an efficiency perspective, the use of a strategy with pretest probability-adapted D-dimer threshold is preferred. The yield of CUS was very limited in patients without concomitant symptoms of deep-vein thrombosis.
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Affiliation(s)
- Milou A M Stals
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Thomas Moumneh
- Department of Emergency Medicine, CHU Angers, University Hospital of Angers, UMR MitoVasc CNRS 6015 - INSERM 1083, Equipe CARME, Angers, France; F-CRIN INNOVTE research network, Saint-Etienne, France
| | - Fionnuala Ni Ainle
- Department of Hematology, Mater Misericordiae University Hospital, Dublin, and School of Medicine, University College Dublin, Ireland
| | - Drahomir Aujesky
- Division of General Internal Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas van Bemmel
- Department of Internal Medicine, Gelre Ziekenhuizen Apeldoorn, Apeldoorn, the Netherlands
| | - Laurent Bertoletti
- F-CRIN INNOVTE research network, Saint-Etienne, France; Service de Médecine Vasculaire et Thérapeutique, CHU de St-Etienne, Saint-Etienne, France; CIC 1408 Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne, France University Jean Monnet, University Hospital of Saint-Etienne, Mines Saint-Etienne, INSERM U 1059, Saint-Etienne, France
| | - Ingrid M Bistervels
- Department of Internal Medicine, Flevo Hospital, Almere, the Netherlands; Department of Vascular Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands
| | - Céline Chauleur
- Department of Obstetrics and Gynaecology, CHU de St-Etienne, Saint-Etienne, France; CIC 1408 Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne, France University Jean Monnet, University Hospital of Saint-Etienne, Mines Saint-Etienne, INSERM U 1059, Saint-Etienne, France
| | - Francis Couturaud
- F-CRIN INNOVTE research network, Saint-Etienne, France; Department of Internal Medicine and Chest Diseases, Brest Hospital Center, Groupe d'Etude de Thrombose de Bretagne Occidentale, INSERM UMR1304, University of Brest, Brest, France
| | | | - Antoine Elias
- F-CRIN INNOVTE research network, Saint-Etienne, France; Médecine Vasculaire, Centre Hospitalier de Toulon, Toulon, France
| | - Laura M Faber
- Department of Internal Medicine, Red Cross Hospital, Beverwijk, the Netherlands
| | - Catherine Le Gall
- F-CRIN INNOVTE research network, Saint-Etienne, France; Centre Hospitalier d'Argenteuil, Argenteuil, France
| | - Herman M A Hofstee
- Department of Internal Medicine, Haaglanden Medical Center, The Hague, the Netherlands
| | - Tom van der Hulle
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Marieke J H A Kruip
- Department of Hematology Erasmus MC, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Maxime Maignan
- Department of Emergency, CHU Grenoble-Alpes, Hypoxy-Physiopathology laboratory HP2, Grenoble, France
| | - Albert T A Mairuhu
- Department of Internal Medicine, Haga Teaching Hospital, The Hague, the Netherlands
| | - Saskia Middeldorp
- Department of Internal Medicine and Radboud Institute of Health Sciences (RIHS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Emmanuelle Le Moigne
- F-CRIN INNOVTE research network, Saint-Etienne, France; Department of Internal Medicine and Chest Diseases, Brest Hospital Center, Groupe d'Etude de Thrombose de Bretagne Occidentale, INSERM UMR1304, University of Brest, Brest, France
| | - Mathilde Nijkeuter
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Liselotte M van der Pol
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Helia Robert-Ebadi
- F-CRIN INNOVTE research network, Saint-Etienne, France; Department of Medicine, Division of Angiology and Hemostasis, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Pierre-Marie Roy
- Department of Emergency Medicine, CHU Angers, University Hospital of Angers, UMR MitoVasc CNRS 6015 - INSERM 1083, Equipe CARME, Angers, France; F-CRIN INNOVTE research network, Saint-Etienne, France
| | - Olivier Sanchez
- F-CRIN INNOVTE research network, Saint-Etienne, France; Service de Pneumologie et Soins Intensifs, Hôpital Européen Georges Pompidou, AP-HP, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Jeannot Schmidt
- F-CRIN INNOVTE research network, Saint-Etienne, France; Department of Emergency, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Maarten van Smeden
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Cecile Tromeur
- F-CRIN INNOVTE research network, Saint-Etienne, France; Department of Internal Medicine and Chest Diseases, Brest Hospital Center, Groupe d'Etude de Thrombose de Bretagne Occidentale, INSERM UMR1304, University of Brest, Brest, France
| | - Marije Ten Wolde
- Department of Internal Medicine, Flevo Hospital, Almere, the Netherlands
| | - Marc Righini
- Department of Medicine, Division of Angiology and Hemostasis, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Grégoire Le Gal
- Department of Medicine, University of Ottawa, Ottawa Hospital Research Institute, Thrombosis Research Group, Ottawa, Canada
| | - Menno V Huisman
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Frederikus A Klok
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.
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Xiong W, Zhao Y, Cheng Y, Du H, Sun J, Wang Y, Xu M, Guo X. Comparison of VTE risk scores in guidelines for VTE diagnosis in nonsurgical hospitalized patients with suspected VTE. Thromb J 2023; 21:8. [PMID: 36658654 PMCID: PMC9850809 DOI: 10.1186/s12959-023-00450-1] [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: 10/29/2022] [Accepted: 01/09/2023] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND The assessment of VTE likelihood with VTE risk scores is essential prior to imaging examinations during VTE diagnostic procedure. Little is known with respect to the disparity of predictive power for VTE diagnosis among VTE risk scores in guidelines for nonsurgical hospitalized patients with clinically suspected VTE. METHODS A retrospective study was performed to compare the predictive power for VTE diagnosis among the Wells, Geneva, YEARS, PERC, Padua, and IMPROVE scores in the leading authoritative guidelines in nonsurgical hospitalized patients with suspected VTE. RESULTS Among 3168 nonsurgical hospitalized patients with suspected VTE, VTE was finally excluded in 2733(86.3%) ones, whereas confirmed in 435(13.7%) ones. The sensitivity and specificity resulted from the Wells, Geneva, YEARS, PERC, Padua, and IMPROVE scores were (90.3%, 49.8%), (88.7%, 53.6%), (73.8%, 50.2%), (97.7%,16.9%), (80.9%, 44.0%), and (78.2%, 47.0%), respectively. The YI were 0.401, 0.423, 0.240, 0.146, 0.249, and 0.252 for the Wells, Geneva, YEARS, PERC, Padua, and IMPROVE scores, respectively. The C-index were 0.694(0.626-0.762), 0.697(0.623-0.772), 0.602(0.535-0.669), 0.569(0.486-0.652), 0.607(0.533-0.681), and 0.609(0.538-0.680) for the Wells, Geneva, YEARS, PERC, Padua, and IMPROVE scores, respectively. Consistency was significant in the pairwise comparison of Wells vs Geneva(Kappa 0.753, P = 0.565), YEARS vs Padua(Kappa 0.816, P = 0.565), YEARS vs IMPROVE(Kappa 0.771, P = 0.645), and Padua vs IMPROVE(Kappa 0.789, P = 0.812), whereas it did not present in the other pairs. The YI was improved to 0.304, 0.272, and 0.264 for the PERC(AUC 0.631[0.547-0.714], P = 0.006), Padua(AUC 0.613[0.527-0.700], P = 0.017), and IMPROVE(AUC 0.614[0.530-0.698], P = 0.016), with a revised cutoff of 5 or less, 6 or more, and 4 or more denoting the VTE-likely, respectively. CONCLUSIONS For nonsurgical hospitalized patients with suspected VTE, the Geneva and Wells scores perform best, the PERC scores performs worst despite its significantly high sensitivity, whereas the others perform intermediately, albeit the absolute predictive power of all isolated scores are mediocre. The predictive power of the PERC, Padua, and IMPROVE scores are improved with revised cutoffs.
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Affiliation(s)
- Wei Xiong
- grid.412987.10000 0004 0630 1330Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092 China
| | - Yunfeng Zhao
- grid.459502.fDepartment of Pulmonary and Critical Care Medicine, Pudong New District, Punan Hospital, Shanghai, China
| | - Yi Cheng
- grid.412987.10000 0004 0630 1330Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092 China
| | - He Du
- grid.412532.3Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jinyuan Sun
- grid.412987.10000 0004 0630 1330Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092 China
| | - Yanmin Wang
- grid.412987.10000 0004 0630 1330Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092 China
| | - Mei Xu
- Department of General Practice, North Bund Community Health Service Center, Hongkou District, Shanghai, China
| | - Xuejun Guo
- grid.412987.10000 0004 0630 1330Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092 China
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20
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Lasanudin JEF, Laksono S, Kusharsamita H. Current Diagnosis and Management of Acute Pulmonary Embolism: A Strategy for General Practitioners in Emergency Department. ACTA MEDICA (HRADEC KRALOVE) 2023; 66:138-145. [PMID: 38588391 DOI: 10.14712/18059694.2024.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
Pulmonary embolism (PE) is a disease with a relatively good prognosis when diagnosed and treated properly. This review aims to analyse available data and combine them into algorithms that physicians can use in the emergency department for quick decision-making in diagnosing and treating PE. The available data show that PE can be excluded through highly sensitive clinical decision rules, i.e. Pulmonary Embolism Rule-Out Criteria (PERC), Wells criteria, and Revised Geneva criteria, combined with D-dimer assessment. In cases where PE could not be excluded through the mentioned strategies, imaging modalities, such as compression ultrasonography (CUS), computed tomographic pulmonary angiography (CTPA), and planar ventilation/perfusion (V/Q) scan, are indicated for a definite diagnosis. Once a diagnosis has been made, treatment of PE depends on its mortality risk as patients are divided into low-, intermediate-, and high-risk cases. High-risk cases are treated for their hemodynamic instability, given parenteral or oral anticoagulant therapy, and are indicated for reperfusion therapy. Intermediate-risk PE is only given parenteral or oral anticoagulants and reperfusion is indicated when anticoagulants fail. Low-risk cases are given oral anticoagulants and based on the Hestia criteria, patients may be discharged and treated as outpatients.
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Affiliation(s)
| | - Sidhi Laksono
- Department of Cardiology and Vascular Medicine, Central Pertamina Hospital, Jakarta, Indonesia.
- Faculty of Medicine, Universitas Muhammadiyah Prof Dr Hamka, Tangerang, Indonesia.
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21
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Seedat ZO, Khan AU, Plisco MS. Pulmonary Embolism. N Engl J Med 2022; 387:1243. [PMID: 36170512 DOI: 10.1056/nejmc2210390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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22
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Affiliation(s)
- Susan R Kahn
- From Lady Davis Institute at Jewish General Hospital and the Department of Medicine, McGill University, Montreal (S.R.K.), the Department of Emergency Medicine, Queen's University, Kingston, ON (K.W.), and the Departments of Medicine and Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON (K.W.) - all in Canada
| | - Kerstin de Wit
- From Lady Davis Institute at Jewish General Hospital and the Department of Medicine, McGill University, Montreal (S.R.K.), the Department of Emergency Medicine, Queen's University, Kingston, ON (K.W.), and the Departments of Medicine and Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON (K.W.) - all in Canada
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23
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Diagnostic Management of Acute Pulmonary Embolism in COVID-19 and Other Special Patient Populations. Diagnostics (Basel) 2022; 12:diagnostics12061350. [PMID: 35741160 PMCID: PMC9221574 DOI: 10.3390/diagnostics12061350] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/17/2022] [Accepted: 05/24/2022] [Indexed: 12/28/2022] Open
Abstract
Venous thromboembolism (VTE), in particular acute pulmonary embolism (PE), has been shown to be a frequent and potentially fatal complication of coronavirus disease 2019 (COVID-19). In response to the observed thrombotic complications, a large number of studies has been devoted to the understanding and management of COVID-19-associated coagulopathy. Notably, only a limited number of mostly retrospective studies has focused on the optimal diagnostic strategy for suspected PE in COVID-19 patients. As in other special populations, the accuracy of diagnostic algorithms for PE-exclusion has been debated in this specific patient subgroup as the specificity of D-dimer assays and clinical decision rules (CDRs) may be lower than normal. From this viewpoint, we discuss the current state-of-the-art diagnostic algorithms for acute PE with a focus on patients with COVID-19 in the perspective of other special patient populations. Furthermore, we summarize current knowledge regarding the natural history of PE resolution with anticoagulant treatment in patients with COVID-19.
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