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Ebrahimi P, Taheri H, Bahiraie P, Rader F, Siegel RJ, Mandegar MH, Hosseini K, Shahid F. Incidence of secondary pericardial effusions associated with different etiologies: a comprehensive review of literature. J Cardiothorac Surg 2025; 20:141. [PMID: 39987086 PMCID: PMC11846477 DOI: 10.1186/s13019-025-03370-5] [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: 11/03/2024] [Accepted: 02/08/2025] [Indexed: 02/24/2025] Open
Abstract
Pericardial effusion is a relatively common complication associated with inflammatory and non-inflammatory diseases. The primary etiology of this condition could be considered when choosing therapeutic options and factors such as effusion size and its hemodynamic consequence. In most cases, small to moderate pericardial effusions can be managed with observation and anti-inflammatory medications unless the effusion develops rapidly. However, in a small proportion of patients, large effusions lead to impaired cardiac filling with hemodynamic compromise and cardiovascular collapse due to cardiac tamponade. The rate at which fluid accumulates is the primary determinant of hemodynamic impact and thus guides the choice of treatment, irrespective of the effusion's size. Severe cases are typically treated with pericardiocentesis with echocardiographic guidance. More aggressive treatments may be necessary for cases due to purulent or malignant etiologies. These cases may require a pericardial window to allow for long-term drainage of the pericardial fluid. This comprehensive review focuses on the epidemiology of pericardial effusion and discusses pathophysiology, diagnostic approaches, and therapeutic options for different causes of secondary pericardial effusions.
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Affiliation(s)
- Pouya Ebrahimi
- Department of Interventional Cardiology, Queen Elizabeth Hospital, Birmingham, UK.
- Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Homa Taheri
- Department of Cardiology, Smidth Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, US
| | - Pegah Bahiraie
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Florian Rader
- Department of Cardiology, Smidth Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, US
| | - Robert J Siegel
- Department of Cardiology, Smidth Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, US
| | - Mohammad Hosein Mandegar
- Cardiac Surgery Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Kaveh Hosseini
- Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farhan Shahid
- Department of Interventional Cardiology, Queen Elizabeth Hospital, Birmingham, UK
- Department of Interventional Cardiology, School of Medicine, Aston University, Birmingham, UK
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2
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Bucher AM, Henzel K, Meyer HJ, Ehrengut C, Müller L, Schramm D, Akinina A, Drechsel M, Kloeckner R, Isfort P, Sähn MJ, Fink M, More D, Melekh B, Meinel FG, Dreger F, May M, Siegler L, Münzfeld H, Ruppel R, Penzkofer T, Kim MS, Balzer M, Borggrefe J, Surov A. Pericardial Effusion Predicts Clinical Outcomes in Patients with COVID-19: A Nationwide Multicenter Study. Acad Radiol 2024; 31:1784-1791. [PMID: 38155024 DOI: 10.1016/j.acra.2023.12.003] [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: 08/28/2023] [Revised: 11/25/2023] [Accepted: 12/01/2023] [Indexed: 12/30/2023]
Abstract
RATIONALE AND OBJECTIVES The prognostic role of pericardial effusion (PE) in Covid 19 is unclear. The aim of the present study was to estimate the prognostic role of PE in patients with Covid 19 in a large multicentre setting. MATERIALS AND METHODS This retrospective study is a part of the German multicenter project RACOON (Radiological Cooperative Network of the Covid 19 pandemic). The acquired sample comprises 1197 patients, 363 (30.3%) women and 834 (69.7%) men. In every case, chest computed tomography was analyzed for PE. Data about 30-day mortality, need for mechanical ventilation and need for intensive care unit (ICU) admission were collected. Data were evaluated by means of descriptive statistics. Group differences were calculated with Mann-Whitney test and Fisher exact test. Uni-and multivariable regression analyses were performed. RESULTS Overall, 46.4% of the patients were admitted to ICU, mechanical lung ventilation was performed in 26.6% and 30-day mortality was 24%. PE was identified in 159 patients (13.3%). The presence of PE was associated with 30-day mortality: HR= 1.54, CI 95% (1.05; 2.23), p = 0.02 (univariable analysis), and HR= 1.60, CI 95% (1.03; 2.48), p = 0.03 (multivariable analysis). Furthermore, density of PE was associated with the need for intubation (OR=1.02, CI 95% (1.003; 1.05), p = 0.03) and the need for ICU admission (OR=1.03, CI 95% (1.005; 1.05), p = 0.01) in univariable regression analysis. The presence of PE was associated with 30-day mortality in male patients, HR= 1.56, CI 95%(1.01-2.43), p = 0.04 (multivariable analysis). In female patients, none of PE values predicted clinical outcomes. CONCLUSION The prevalence of PE in Covid 19 is 13.3%. PE is an independent predictor of 30-day mortality in male patients with Covid 19. In female patients, PE plays no predictive role.
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Affiliation(s)
- Andreas Michael Bucher
- Institute of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfut, Germany (A.M.B., K.H.)
| | - Kristina Henzel
- Institute of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfut, Germany (A.M.B., K.H.)
| | - Hans Jonas Meyer
- Department of Radiology, University Hospital of Leipzig, Leipzig, Germany (H.J.M., C.E.)
| | - Constantin Ehrengut
- Department of Radiology, University Hospital of Leipzig, Leipzig, Germany (H.J.M., C.E.)
| | - Lukas Müller
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany (L.M.)
| | - Dominik Schramm
- Department of Radiology University Hospital of Halle, Halle, Germany (D.S., A.A., M.D.)
| | - Alena Akinina
- Department of Radiology University Hospital of Halle, Halle, Germany (D.S., A.A., M.D.)
| | - Michelle Drechsel
- Department of Radiology University Hospital of Halle, Halle, Germany (D.S., A.A., M.D.)
| | - Roman Kloeckner
- Department of Radiology University Hospital Schleswig-Holstein-Campus Luebeck, Luebeck, Germany (R.K.)
| | - Peter Isfort
- Department of Radiology University Hospital of Aachen, Aachen, Germany (P.I., M.J.S.)
| | - Marwin-Jonathan Sähn
- Department of Radiology University Hospital of Aachen, Aachen, Germany (P.I., M.J.S.)
| | - Matthias Fink
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (M.F., D.M.)
| | - Dorottya More
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (M.F., D.M.)
| | - Bohdan Melekh
- Department of Radiology and Nuclear Medicine, University Hospital of Magdeburg, Magdeburg, Germany (B.M., A.S.)
| | - Felix G Meinel
- Department of Radiology University Hospital of Rostock, Rostock, Germany (F.G.M., F.D.)
| | - Franziska Dreger
- Department of Radiology University Hospital of Rostock, Rostock, Germany (F.G.M., F.D.)
| | - Matthias May
- Department of Radiology University Hospital of Erlangen, Erlangen, Germany (M.M., L.S.)
| | - Lisa Siegler
- Department of Radiology University Hospital of Erlangen, Erlangen, Germany (M.M., L.S.)
| | - Hanna Münzfeld
- Department of Radiology University Hospital of Berlin, Berlin, Germany (H.M., R.R., T.P.)
| | - Richard Ruppel
- Department of Radiology University Hospital of Berlin, Berlin, Germany (H.M., R.R., T.P.)
| | - Tobias Penzkofer
- Department of Radiology University Hospital of Berlin, Berlin, Germany (H.M., R.R., T.P.)
| | - Moon-Sung Kim
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (M.S.K., B.M.)
| | - Miriam Balzer
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (M.S.K., B.M.)
| | - Jan Borggrefe
- Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr-University-Bochum, Bochum, Germany (J.B., A.S.)
| | - Alexey Surov
- Department of Radiology and Nuclear Medicine, University Hospital of Magdeburg, Magdeburg, Germany (B.M., A.S.); Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr-University-Bochum, Bochum, Germany (J.B., A.S.).
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Bagnato G, Imbalzano E, Ioppolo C, La Rosa D, Chiappalone M, De Gaetano A, Viapiana V, Irrera N, Nassisi V, Tringali MC, Singh EB, Falcomatà N, Russo V, Neal Roberts W, Di Micco P, Versace AG. Stratification of COVID-19 Patients with Moderate-to-Severe Hypoxemic Respiratory Failure for Response to High-Flow Nasal Cannula: A Retrospective Observational Study. MEDICINA (KAUNAS, LITHUANIA) 2023; 60:71. [PMID: 38256332 PMCID: PMC10819134 DOI: 10.3390/medicina60010071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/12/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024]
Abstract
Background and Objectives: In patients with COVID-19, high-flow nasal cannula (HFNC) and continuous positive airway pressure (CPAP) are widely applied as initial treatments for moderate-to-severe acute hypoxemic respiratory failure. The aim of the study was to assess which respiratory supports improve 28-day mortality and to identify a predictive index of treatment response. Materials and Methods: This is a single-center retrospective observational study including 159 consecutive adult patients with COVID-19 and moderate-to-severe hypoxemic acute respiratory failure. Results: A total of 159 patients (82 in the CPAP group and 77 in the HFNC group) were included in the study. Mortality within 28 days was significantly lower with HFNC compared to CPAP (16.8% vs. 50%), while ICU admission and tracheal intubation within 28 days were significantly higher with CPAP compared to HFNC treatment (32% vs. 13%). We identified an index for survival in HFNC by including three variables easily available at admission (LDH, age, and respiratory rate) and the PaO2/FiO2 ratio at 48 h. The index showed high discrimination for survival with an AUC of 0.88, a negative predictive value of 86%, and a positive predictive value of 95%. Conclusions: Treatment with HFNC appears to be associated with greater survival and fewer ICU admission than CPAP. LDH, respiratory rate, age, and PaO2/FiO2 at 48 h were independently associated with survival and an index based on these variables allows for the prediction of treatment success and the assessment of patient allocation to the appropriate intensity of care after 48 h. Further research is warranted to determine effects on other outcomes and to assess the performance of the index in larger cohorts.
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Affiliation(s)
- Gianluca Bagnato
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Egidio Imbalzano
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Carmelo Ioppolo
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Daniela La Rosa
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Marianna Chiappalone
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Alberta De Gaetano
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Valeria Viapiana
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Natasha Irrera
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Veronica Nassisi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Maria Concetta Tringali
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Emanuele Balwinder Singh
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Nicola Falcomatà
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
| | - Vincenzo Russo
- Department of Medical Translational Sciences, Division of Cardiology, Monaldi Hospital, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
| | | | - Pierpaolo Di Micco
- Emergency Department, Rizzoli Hospital, Health Authority NA2, 80122 Napoli, Italy
| | - Antonio Giovanni Versace
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy; (G.B.); (E.I.); (C.I.); (D.L.R.); (M.C.); (A.D.G.); (N.I.); (V.N.); (M.C.T.); (E.B.S.); (N.F.); (A.G.V.)
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Restelli D, Carerj ML, Bella GD, Zito C, Poleggi C, D’Angelo T, Donato R, Ascenti G, Blandino A, Micari A, Mazziotti S, Minutoli F, Baldari S, Carerj S. Constrictive Pericarditis: An Update on Noninvasive Multimodal Diagnosis. J Cardiovasc Echogr 2023; 33:161-170. [PMID: 38486689 PMCID: PMC10936705 DOI: 10.4103/jcecho.jcecho_61_23] [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: 10/07/2023] [Revised: 10/28/2023] [Accepted: 10/29/2023] [Indexed: 03/17/2024] Open
Abstract
Constrictive pericarditis (CP) is a rare condition that can affect the pericardium after every pericardial disease process and has been described even after SARS-CoV-2 infection or vaccine. In CP, the affected pericardium, usually the inner layer, is noncompliant, constraining the heart to a fixed maximum volume and impairing the diastolic function. This leads to several clinical features, that, however, can be pleomorphic. In its difficult diagnostic workup, noninvasive multimodal imaging plays a central role, providing important morphological and functional data, like the enhanced ventricular interdependence and the dissociation between intrathoracic and intracardiac pressures. An early and proper diagnosis is crucial to set an appropriate therapy, changing the prognosis of patients affected by CP. In this review, we cover in detail the main elements of each imaging technique, after a reminder of pathophysiology useful for understanding the diagnostic findings.
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Affiliation(s)
- Davide Restelli
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, Messina, Italy
| | - Maria Ludovica Carerj
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Diagnostic and Interventional Radiology Unit, University of Messina, Messina, Italy
| | - Gianluca Di Bella
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, Messina, Italy
| | - Concetta Zito
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, Messina, Italy
| | - Cristina Poleggi
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, Messina, Italy
| | - Tommaso D’Angelo
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Diagnostic and Interventional Radiology Unit, University of Messina, Messina, Italy
| | - Rocco Donato
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Diagnostic and Interventional Radiology Unit, University of Messina, Messina, Italy
| | - Giorgio Ascenti
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Diagnostic and Interventional Radiology Unit, University of Messina, Messina, Italy
| | - Alfredo Blandino
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Diagnostic and Interventional Radiology Unit, University of Messina, Messina, Italy
| | - Antonio Micari
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, Messina, Italy
| | - Silvio Mazziotti
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Diagnostic and Interventional Radiology Unit, University of Messina, Messina, Italy
| | - Fabio Minutoli
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Nuclear Medicine Unit, University of Messina, Messina, Italy
| | - Sergio Baldari
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging (BIOMORF), Nuclear Medicine Unit, University of Messina, Messina, Italy
| | - Scipione Carerj
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, Messina, Italy
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Aragona CO, Bagnato G, Tomeo S, Rosa DL, Chiappalone M, Tringali MC, Singh EB, Versace AG. Echocardiography in Coronavirus Disease 2019 Era: A Single Tool for Diagnosis and Prognosis. J Cardiovasc Echogr 2023; 33:10-16. [PMID: 37426709 PMCID: PMC10328134 DOI: 10.4103/jcecho.jcecho_11_23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/07/2023] [Accepted: 03/18/2023] [Indexed: 07/11/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is characterized by multi-organ involvement, including respiratory and cardiac events. Echocardiography is widely considered the first-choice tool for the evaluation of cardiac structures and function because of its reproducibility, feasibility, easy to use at bedside, and for good cost-effectiveness. The aim of our literature review is to define the utility of echocardiography in the prediction of prognosis and mortality in COVID-19 patients with mild to critical respiratory illness, with or without known cardiovascular disease. Moreover, we focused our attention on classical echocardiographic parameters and the use of speckle tracking to predict the evolution of respiratory involvement. Finally, we tried to explore the possible relationship between pulmonary disease and cardiac manifestations.
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Affiliation(s)
- Caterina Oriana Aragona
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Gianluca Bagnato
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Simona Tomeo
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Daniela La Rosa
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Marianna Chiappalone
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Maria Concetta Tringali
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Emanuele Balwinder Singh
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
| | - Antonio Giovanni Versace
- Department of Emergency, Unit of Emergency Mecicine, AOU Policlinico “G.Martino”, University of Messina, Messina, Italy
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Surov A, Kardas H, Besutti G, Pellegrini M, Ottone M, Onur MR, Atak F, Erdemir AG, Hocaoglu E, Yıldız Ö, Inci E, Cingöz E, Cingöz M, Dursun M, Korkmaz İ, Orhan Ç, Strobel A, Wienke A, Pech M. Prognostic Role of the Pectoralis Musculature in Patients with COVID-19. A Multicenter Study. Acad Radiol 2023; 30:77-82. [PMID: 35667979 PMCID: PMC9108033 DOI: 10.1016/j.acra.2022.05.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/04/2022] [Accepted: 05/05/2022] [Indexed: 01/28/2023]
Abstract
RATIONALE AND OBJECTIVES To evaluate the impact of low skeletal muscle mass in patients with COVID-19 on relevant outcomes like 30-day mortality, need for intubation and need for intensive care unit admission. MATERIALS AND METHODS For this study, data from six centers were acquired. The acquired sample comprises 1138 patients. There were 547 women (48.1%) and 591 men (51.9%) with a mean age of 54.5 ± 18.8 years; median age, 55 years; range, 18-84 years). In every case, thoracic CT without intravenous application of contrast medium was performed. The following parameters of the pectoralis muscles were estimated: muscle area as a sum of the bilateral areas of the pectoralis major and minor muscles, muscle density, muscle index (PMI) (pectoralis muscle area divided by the patient's body height square) as a ratio pectoralis major and minor muscles divided by the patient's body height2, and muscle gauge as PMI x muscle density. RESULTS Overall, 220 patients (19.33%) were admitted to the intensive care unit. In 171 patients (15.03%), mechanical lung ventilation was performed. Finally, 154 patients (13.53%) died within the observation time of 30-day. All investigated parameters of pectoralis muscle were lower in the patients with unfavorable courses of Covid-19. All pectoralis muscle parameters were associated with 30-day mortality in multivariate analyses adjusted for age and sex: pectoralis muscle area, HR = 0.93 CI 95% (0.91-0.95) p < 0.001; pectoralis muscle density, HR = 0.94 CI 95% (0.93-0.96) p < 0.001; pectoralis muscle index, HR = 0.79 CI 95% (0.75-0.85) p < 0.001, pectoralis muscle gauge, HR = 0.995 CI 95% (0.99-0.996) p < 0.001. CONCLUSION in COVID-19, survivors have larger areas and higher index, gauge and density of the pectoralis muscles in comparison to nonsurvivors. However, the analyzed muscle parameters cannot be used for prediction of disease courses.
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Affiliation(s)
- Alexey Surov
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.).
| | - Hakan Kardas
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.)
| | - Giulia Besutti
- Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy (G.B., M.P., M.O.)
| | - Massimo Pellegrini
- Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy (G.B., M.P., M.O.)
| | - Marta Ottone
- Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy (G.B., M.P., M.O.)
| | - Mehmet Ruhi Onur
- Department of Radiology, University of Hacettepe School of Medicine, Ankara, Turkey (M.R.O., F.A., A.G.E.)
| | - Firat Atak
- Department of Radiology, University of Hacettepe School of Medicine, Ankara, Turkey (M.R.O., F.A., A.G.E.)
| | - Ahmet Gurkan Erdemir
- Department of Radiology, University of Hacettepe School of Medicine, Ankara, Turkey (M.R.O., F.A., A.G.E.)
| | - Elif Hocaoglu
- Department of Radiology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Radiology (E.H., O.Y., E.I.)
| | - Ömer Yıldız
- Department of Radiology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Radiology (E.H., O.Y., E.I.)
| | - Ercan Inci
- Department of Radiology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Radiology (E.H., O.Y., E.I.)
| | - Eda Cingöz
- İstanbul Medical Faculty Radiology Department, Istanbul Turkey (E.C., M.C., M.D.)
| | - Mehmet Cingöz
- İstanbul Medical Faculty Radiology Department, Istanbul Turkey (E.C., M.C., M.D.); Basaksehir Cam and Sakura City Hospital Radiology Department (M.C.)
| | - Memduh Dursun
- İstanbul Medical Faculty Radiology Department, Istanbul Turkey (E.C., M.C., M.D.)
| | - İnan Korkmaz
- Hatay Mustafa Kemal University, Faculty of Medicine, Department of Radiology, Antakya, Hatay, Turkey (I.K., C.O.)
| | - Çağrı Orhan
- Hatay Mustafa Kemal University, Faculty of Medicine, Department of Radiology, Antakya, Hatay, Turkey (I.K., C.O.)
| | - Alexandra Strobel
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Profile Area Clinical Studies & Biostatistics, Martin-Luther-University Halle-Wittenberg, Halle, Germany (A.S., A.W.)
| | - Andreas Wienke
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Profile Area Clinical Studies & Biostatistics, Martin-Luther-University Halle-Wittenberg, Halle, Germany (A.S., A.W.)
| | - Maciej Pech
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.)
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Booz C, D'Angelo T. Lung ultrasound in pregnant COVID-19 patients: An added tool to expand patient care. JOURNAL OF CLINICAL ULTRASOUND : JCU 2023; 51:64-65. [PMID: 36468307 PMCID: PMC9877968 DOI: 10.1002/jcu.23283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 06/17/2023]
Affiliation(s)
- Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Tommaso D'Angelo
- Department of Radiology and Nuclear MedicineErasmus MCRotterdamThe Netherlands
- Department of Biomedical Sciences and Morphological and Functional ImagingUniversity Hospital MessinaMessinaItaly
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Viceconte G, Ponsiglione A, Buonomo AR, Camera L, Scotto R, De Giorgi M, Pinto L, Pinchera B, Villari R, Foggia M, Gerundo G, Abete P, Brunetti A, Gentile I. COVID-19 chest CT and laboratory features of B.1.617.2 (Delta variant) vs B.1.1.7 (Alpha variant) surge: a single center case-control study. LE INFEZIONI IN MEDICINA 2022; 30:555-562. [PMID: 36482955 PMCID: PMC9714998 DOI: 10.53854/liim-3004-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/13/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE To assess clinical, laboratory and radiological differences between Delta and Alpha SARS-CoV-2 variants. MATERIALS AND METHODS Twenty SARS-CoV-2 patients admitted from 30th of August to 30th of October 2021 (period with estimated highest prevalence of Delta variant circulation in Italy) were enrolled. Patients were matched in a 1:1 ratio with same gender and same age +/- 2 years controls admitted from 1st of September 2020 to 30th of January 2021 (predominant circulation of Alpha variant). Chest computed tomography (CT) were retrospectively evaluated. Main clinical parameters, radiological and laboratory findings were compared between two groups. RESULTS Patients with probable Delta variant had significantly higher CT severity scores, lower PaO2/FiO2 ratio and higher C-reactive protein and lactate dehydrogenase levels at admission. On multivariate analysis, probable Delta variant infection was associated with higher CT severity score. Ground glass opacities and crazy paving patterns were more frequently noticed than consolidation, with the latter being more frequent in Delta cohort, even though not significantly. According to prevalent imaging pattern, the consolidation one was significantly associated with pregnancy (p=0.008). CONCLUSIONS Patients admitted during predominance of Delta variant circulation had a more severe lung involvement compared to patients in infected when Alpha variant was predominant. Despite imaging pattern seems to be not influenced by viral variant and other clinical variables, the consolidative pattern was observed more frequently in pregnancy.
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Affiliation(s)
- Giulio Viceconte
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | | | - Luigi Camera
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Riccardo Scotto
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Lorenzo Pinto
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Biagio Pinchera
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Riccardo Villari
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Maria Foggia
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
| | - Gerardo Gerundo
- Department of Translational Medical Sciences, University of Naples Federico II, Naples,
Italy
| | - Pasquale Abete
- Department of Translational Medical Sciences, University of Naples Federico II, Naples,
Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples,
Italy
| | - Ivan Gentile
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Naples,
Italy
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9
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HERZ THORAX – Verkalkungsgrad der Koronararterien sagt COVID-19-Mortalität voraus. ROFO-FORTSCHR RONTG 2022. [DOI: 10.1055/a-1932-1131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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10
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Rahimi E, Shahisavandi M, Royo AC, Azizi M, el Bouhaddani S, Sigari N, Sturkenboom M, Ahmadizar F. The risk profile of patients with COVID-19 as predictors of lung lesions severity and mortality—Development and validation of a prediction model. Front Microbiol 2022; 13:893750. [PMID: 35958125 PMCID: PMC9361066 DOI: 10.3389/fmicb.2022.893750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/30/2022] [Indexed: 11/23/2022] Open
Abstract
Objective We developed and validated a prediction model based on individuals' risk profiles to predict the severity of lung involvement and death in patients hospitalized with coronavirus disease 2019 (COVID-19) infection. Methods In this retrospective study, we studied hospitalized COVID-19 patients with data on chest CT scans performed during hospital stay (February 2020-April 2021) in a training dataset (TD) (n = 2,251) and an external validation dataset (eVD) (n = 993). We used the most relevant demographical, clinical, and laboratory variables (n = 25) as potential predictors of COVID-19-related outcomes. The primary and secondary endpoints were the severity of lung involvement quantified as mild (≤25%), moderate (26–50%), severe (>50%), and in-hospital death, respectively. We applied random forest (RF) classifier, a machine learning technique, and multivariable logistic regression analysis to study our objectives. Results In the TD and the eVD, respectively, the mean [standard deviation (SD)] age was 57.9 (18.0) and 52.4 (17.6) years; patients with severe lung involvement [n (%):185 (8.2) and 116 (11.7)] were significantly older [mean (SD) age: 64.2 (16.9), and 56.2 (18.9)] than the other two groups (mild and moderate). The mortality rate was higher in patients with severe (64.9 and 38.8%) compared to moderate (5.5 and 12.4%) and mild (2.3 and 7.1%) lung involvement. The RF analysis showed age, C reactive protein (CRP) levels, and duration of hospitalizations as the three most important predictors of lung involvement severity at the time of the first CT examination. Multivariable logistic regression analysis showed a significant strong association between the extent of the severity of lung involvement (continuous variable) and death; adjusted odds ratio (OR): 9.3; 95% CI: 7.1–12.1 in the TD and 2.6 (1.8–3.5) in the eVD. Conclusion In hospitalized patients with COVID-19, the severity of lung involvement is a strong predictor of death. Age, CRP levels, and duration of hospitalizations are the most important predictors of severe lung involvement. A simple prediction model based on available clinical and imaging data provides a validated tool that predicts the severity of lung involvement and death probability among hospitalized patients with COVID-19.
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Affiliation(s)
- Ezat Rahimi
- Clinical Research Unit, Department of Internal Medicine, Kowsar Hospital, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mina Shahisavandi
- Epilepsy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Albert Cid Royo
- Department of Datascience and Biostatistics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Mohammad Azizi
- School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Said el Bouhaddani
- Department of Datascience and Biostatistics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Naseh Sigari
- Lung Diseases and Allergy Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Miriam Sturkenboom
- Department of Datascience and Biostatistics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Fariba Ahmadizar
- Department of Datascience and Biostatistics, University Medical Center Utrecht, Utrecht, Netherlands
- *Correspondence: Fariba Ahmadizar
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Advanced cardiac imaging in the spectrum of COVID-19 related cardiovascular involvement. Clin Imaging 2022; 90:78-89. [PMID: 35930942 PMCID: PMC9335398 DOI: 10.1016/j.clinimag.2022.07.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/20/2022] [Accepted: 07/20/2022] [Indexed: 11/28/2022]
Abstract
Cardiovascular involvement is a common complication of COVID-19 infection and is associated to increased risk of unfavorable outcome. Advanced imaging modalities (coronary CT angiography and Cardiac Magnetic Resonance) play a crucial role in the diagnosis, follow-up and risk stratification of patients affected by COVID-19 pneumonia with suspected cardiovascular involvement. In the present manuscript we firstly review current knowledge on the mechanisms by which SARS-CoV-2 can trigger endothelial and myocardial damage. Secondly, the implications of the cardiovascular damage on patient's prognosis are presented. Finally, we provide an overview of the main findings at advanced cardiac imaging characterizing COVID-19 in the acute setting, in the post-acute syndrome, and after vaccination, emphasizing the potentiality of CT and CMR, the indication and their clinical implications.
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