Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study
Introduction: Since the beginning of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic an important tool for patients with Coronavirus Disease 2019 (COVID-19) has been the computed tomography (CT) scan, but not always available in some settings The aim was to find a cut-off t...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Journal of Infection and Public Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1876034122003471 |
| _version_ | 1811199747627679744 |
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| author | Antonio Russo Mariantonietta Pisaturo Ilaria De Luca Ferdinando Schettino Paolo Maggi Fabio Giuliano Numis Ivan Gentile Vincenzo Sangiovanni Anna Maria Rossomando Valeria Gentile Giosuele Calabria Caroliona Rescigno Angelo Salomone Megna Alfonso Masullo Elio Manzillo Grazia Russo Roberto Parrella Giuseppina Dell’Aquila Michele Gambardella Antonio Ponticiello Alfonso Reginelli Nicola Coppola |
| author_facet | Antonio Russo Mariantonietta Pisaturo Ilaria De Luca Ferdinando Schettino Paolo Maggi Fabio Giuliano Numis Ivan Gentile Vincenzo Sangiovanni Anna Maria Rossomando Valeria Gentile Giosuele Calabria Caroliona Rescigno Angelo Salomone Megna Alfonso Masullo Elio Manzillo Grazia Russo Roberto Parrella Giuseppina Dell’Aquila Michele Gambardella Antonio Ponticiello Alfonso Reginelli Nicola Coppola |
| author_sort | Antonio Russo |
| collection | DOAJ |
| description | Introduction: Since the beginning of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic an important tool for patients with Coronavirus Disease 2019 (COVID-19) has been the computed tomography (CT) scan, but not always available in some settings The aim was to find a cut-off that can predict worsening in patients with COVID-19 assessed with a computed tomography (CT) scan and to find laboratory, clinical or demographic parameters that may correlate with a higher CT score. Methods: We performed a multi-center, observational, retrospective study involving seventeen COVID-19 Units in southern Italy, including all 321 adult patients hospitalized with a diagnosis of COVID-19 who underwent at admission a CT evaluated using Pan score. Results: Considering the clinical outcome and Pan score, the best cut-off point to discriminate a severe outcome was 12.5. High lactate dehydrogenase (LDH) serum value and low PaO2/FiO2 ratio (P/F) resulted independently associated with a high CT score. The Area Under Curve (AUC) analysis showed that the best cut-off point for LDH was 367.5 U/L and for P/F 164.5. Moreover, the patients with LDH> 367.5 U/L and P/F < 164.5 showed more frequently a severe CT score than those with LDH< 367.5 U/L and P/F> 164.5, 83.4%, vs 20%, respectively. Conclusions: A direct correlation was observed between CT score value and outcome of COVID-19, such as CT score and high LDH levels and low P/F ratio at admission. Clinical or laboratory tools that predict the outcome at admission to hospital are useful to avoiding the overload of hospital facilities. |
| first_indexed | 2024-04-12T01:52:30Z |
| format | Article |
| id | doaj.art-42bcf8c9cd2249308b81ca6339dc6555 |
| institution | Directory Open Access Journal |
| issn | 1876-0341 |
| language | English |
| last_indexed | 2024-04-12T01:52:30Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Infection and Public Health |
| spelling | doaj.art-42bcf8c9cd2249308b81ca6339dc65552022-12-22T03:52:53ZengElsevierJournal of Infection and Public Health1876-03412023-01-01161136142Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational studyAntonio Russo0Mariantonietta Pisaturo1Ilaria De Luca2Ferdinando Schettino3Paolo Maggi4Fabio Giuliano Numis5Ivan Gentile6Vincenzo Sangiovanni7Anna Maria Rossomando8Valeria Gentile9Giosuele Calabria10Caroliona Rescigno11Angelo Salomone Megna12Alfonso Masullo13Elio Manzillo14Grazia Russo15Roberto Parrella16Giuseppina Dell’Aquila17Michele Gambardella18Antonio Ponticiello19Alfonso Reginelli20Nicola Coppola21Infectious Diseases, Department of Mental Health and Public Medicine, University of Campania ''L. Vanvitelli'', Napoli, ItalyInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania ''L. Vanvitelli'', Napoli, ItalyInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania ''L. Vanvitelli'', Napoli, ItalyRadiology Unit, Departement of Precision Medicine, University of Campania ''L. Vanvitelli'', Napoli, ItalyInfectious Diseases Unit, A.O. S Anna e S Sebastiano Caserta, ItalyEmergency unit, PO Santa Maria delle Grazie, Pozzuoli, ItalyInfectious disease unit; University Federico II, Naples, ItalyThird Infectious Diseases Unit, AORN dei Colli, P.O. Cotugno, Naples, ItalyIV Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, ItalyHepatic Infectious Disease Unit, AORN dei Colli, PO Cotugno, Naples, ItalyIX Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, ItalyFirst Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, ItalyInfectious Diseease Unit, A.O. San Pio, PO Rummo, Benevento, ItalyInfectious disease unit, A.O. San Giovanni di Dio e Ruggi D’Aragona Salerno, ItalyVIII Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, ItalyInfectious Disease Unit, Ospedale Maria S.S. Addolorata di Eboli, ASL Salerno, ItalyRespiratory Infectious Diseases Unit, AORN dei Colli, PO Cotugno, Naples, ItalyInfectious Diseases Unit, AO Avellino, ItalyInfectious Diseease Unit, PO S. Luca, Vallo della Lucania, ASL Salerno, ItalyPneumology Unit, AORN Caserta, ItalyRadiology Unit, Departement of Precision Medicine, University of Campania ''L. Vanvitelli'', Napoli, ItalyInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania ''L. Vanvitelli'', Napoli, Italy; Correspondence to: Department of Mental Health and Public Medicine, Section of Infectious Diseases, University of Campania Luigi Vanvitelli, Via L. Armanni 5, 80131 Naples, Italy.Introduction: Since the beginning of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic an important tool for patients with Coronavirus Disease 2019 (COVID-19) has been the computed tomography (CT) scan, but not always available in some settings The aim was to find a cut-off that can predict worsening in patients with COVID-19 assessed with a computed tomography (CT) scan and to find laboratory, clinical or demographic parameters that may correlate with a higher CT score. Methods: We performed a multi-center, observational, retrospective study involving seventeen COVID-19 Units in southern Italy, including all 321 adult patients hospitalized with a diagnosis of COVID-19 who underwent at admission a CT evaluated using Pan score. Results: Considering the clinical outcome and Pan score, the best cut-off point to discriminate a severe outcome was 12.5. High lactate dehydrogenase (LDH) serum value and low PaO2/FiO2 ratio (P/F) resulted independently associated with a high CT score. The Area Under Curve (AUC) analysis showed that the best cut-off point for LDH was 367.5 U/L and for P/F 164.5. Moreover, the patients with LDH> 367.5 U/L and P/F < 164.5 showed more frequently a severe CT score than those with LDH< 367.5 U/L and P/F> 164.5, 83.4%, vs 20%, respectively. Conclusions: A direct correlation was observed between CT score value and outcome of COVID-19, such as CT score and high LDH levels and low P/F ratio at admission. Clinical or laboratory tools that predict the outcome at admission to hospital are useful to avoiding the overload of hospital facilities.http://www.sciencedirect.com/science/article/pii/S1876034122003471CT scorePan scoreCOVID-19SARS-CoV-2 infectionSeverity of disease |
| spellingShingle | Antonio Russo Mariantonietta Pisaturo Ilaria De Luca Ferdinando Schettino Paolo Maggi Fabio Giuliano Numis Ivan Gentile Vincenzo Sangiovanni Anna Maria Rossomando Valeria Gentile Giosuele Calabria Caroliona Rescigno Angelo Salomone Megna Alfonso Masullo Elio Manzillo Grazia Russo Roberto Parrella Giuseppina Dell’Aquila Michele Gambardella Antonio Ponticiello Alfonso Reginelli Nicola Coppola Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study Journal of Infection and Public Health CT score Pan score COVID-19 SARS-CoV-2 infection Severity of disease |
| title | Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study |
| title_full | Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study |
| title_fullStr | Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study |
| title_full_unstemmed | Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study |
| title_short | Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study |
| title_sort | lactate dehydrogenase and pao2 fio2 ratio at admission helps to predict ct score in patients with covid 19 an observational study |
| topic | CT score Pan score COVID-19 SARS-CoV-2 infection Severity of disease |
| url | http://www.sciencedirect.com/science/article/pii/S1876034122003471 |
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