Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study. Issue 1 (January 2023)
- Record Type:
- Journal Article
- Title:
- Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study. Issue 1 (January 2023)
- Main Title:
- Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study
- Authors:
- Russo, Antonio
Pisaturo, Mariantonietta
De Luca, Ilaria
Schettino, Ferdinando
Maggi, Paolo
Numis, Fabio Giuliano
Gentile, Ivan
Sangiovanni, Vincenzo
Rossomando, Anna Maria
Gentile, Valeria
Calabria, Giosuele
Rescigno, Caroliona
Megna, Angelo Salomone
Masullo, Alfonso
Manzillo, Elio
Russo, Grazia
Parrella, Roberto
Dell'Aquila, Giuseppina
Gambardella, Michele
Ponticiello, Antonio
Reginelli, Alfonso
Coppola, Nicola - Abstract:
- Abstract: 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 laboratoryAbstract: 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. Highlights: ● prognostic factors of severe disease in COVID-19 are need to stratify patients. ● a cut off of 12.5 at CT score predicts severe outcome in patients with COVID-19. ● P/F and LDH value at admission can predict worse CT severity score. … (more)
- Is Part Of:
- Journal of infection and public health. Volume 16:Issue 1(2023)
- Journal:
- Journal of infection and public health
- Issue:
- Volume 16:Issue 1(2023)
- Issue Display:
- Volume 16, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2023-0016-0001-0000
- Page Start:
- 136
- Page End:
- 142
- Publication Date:
- 2023-01
- Subjects:
- CT score -- Pan score -- COVID-19 -- SARS-CoV-2 infection -- Severity of disease
Communicable diseases -- Periodicals
Public health -- Periodicals
Epidemiology -- Periodicals
Nosocomial infections -- Prevention -- Periodicals
Medical microbiology -- Periodicals
614.4 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18760341 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jiph.2022.12.009 ↗
- Languages:
- English
- ISSNs:
- 1876-0341
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 5006.491300
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