Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204703373> ?p ?o ?g. }
- W3204703373 abstract "Abstract Background Quantitative CT (QCT) analysis is an invaluable diagnostic tool to assess lung injury and predict prognosis of patients affected by COVID-19 pneumonia. PTX3 was recently described as one of the most reliable serological predictors of clinical deterioration and short-term mortality. The present study was designed to evaluate a correlation between serological biomarkers of inflammation and lung injury measured by QCT. Methods This retrospective monocentric study analysed a cohort of patients diagnosed with COVID-19 and admitted because of respiratory failure, or significant radiological involvement on chest CT scan. All patients, males and non-pregnant females older than 18 years, underwent chest CT scan and laboratory testing at admission. Exclusion criteria were defined by concurrent acute pathological processes and ongoing specific treatments which could interfere with immune activity. The cohort was stratified based on severity in mild and severe forms. Compromised lung at QCT was then correlated to serological biomarkers representative of SARS-CoV-2. We further developed a multivariable logistic model to predict CT data and clinical deterioration based on a specific molecular signature. Internal cross-validation led to evaluate discrimination, calibration, and clinical utility of the tool that was provided by a score to simplify its application. Findings 592 patients were recruited between March 19th and December 1st, 2020. Applying exclusion criteria which consider confounders, the cohort resulted in 366 individuals characterized by 177 mild and 189 severe forms. In our predictive model, blood levels of PTX3, CRP and LDH were found to correlate with QCT values in mild COVID-19 disease. A signature of these three biomarkers had a high predictive accuracy in detecting compromised lungs as assessed by QCT. The score was elaborated and resulted representative of lung CT damage leading to clinical deterioration and oxygen need in mild disease. Interpretation The LDH, PTX3, CRP blood signature can serve as a strong correlate of compromised lung in COVID-19, possibly integrating cellular damage, systemic inflammation, myeloid and endothelial cell activation. Funding This work was supported by a philanthropic donation by Dolce & Gabbana fashion house (to A.M., C.G.) and by a grant from Italian Ministry of Health for COVID-19 (to A.M. and C.G.). Research in context Evidence before this study Besides nasopharyngeal swab and serological test, chest CT scan represents one of the most useful tools to confirm COVID-19 diagnosis; moreover, QCT has been demonstrated to foresee oxygen need as well as deterioration of health status. Several clinical and serological parameters have been studied alone or combined in scores to be applied as prognostic tools of SARS-CoV-2 pneumonia; however, no one has yet reached the everyday practice. Recently, our group has investigated the expression and clinical significance of PTX3 in COVID-19 demonstrating the correlation with short-term mortality independently of confounders. The result was confirmed by other studies in different settings increasing evidence of PTX3 as a strong biomarker of severity; noteworthy, a recent report analysed proteomic data with a machine learning approach identifying age with PTX3 or SARS-CoV-2 RNAemia as the best binary signatures associated to 28-days mortality. Added value of this study The present study was designed to investigate associations between markers of damage and the CT extension of SARS-CoV-2 pneumonia in order to provide a biological footprint of radiological results in paucisymptomatic patients. QCT data were considered in a binary form identifying a threshold relevant for clinical deterioration, as already proved by literature. Our findings demonstrate a significant correlation with three peripheral blood proteins (PTX3, LDH and CRP) which result representative of COVID-19 severity. The study presents a predictive model of radiological lung involvement which performs with a high level of accuracy (cvAUC of 0·794±0·107; CI 95%: 0·74–0·87) and a simple score was provided to simplify the interpretation of the three biomarkers. Besides additional finding on PTX3 role in SARS-CoV2 pathology, its prognostic value was confirmed by data on clinical deterioration; indeed, paucisymptomatic subjects showed a 11·9% deaths. The model offers the possibility to quickly assess patients resulted positive for SARS-CoV-2 and estimate people at risk of deterioration despite normal clinical and blood gases analysis, with potential to identify those who need better clinical monitoring and interventions. Implications of all the available evidence Predicting the extension, severity, and clinical deterioration in COVID-19 patients its pivotal to allocate enough resources in emergency and to avoid health system burden. Despite the urgent clinical need of biomarkers, SARS-CoV-2 pneumonia still lacks something able to provide an easy measure of its severity. Some multiparametric scores have been proposed for severe COVID-19 and rely on deep assessment of patients status (clinical, serological, and radiological data). Our model represents an unprecedented effort to provide a tool which could predict CT pneumonia extension, oxygen requirement and clinical deterioration in mild COVID-19. Based on the measurement of three proteins on peripheral blood, this score could improve early assessment of asymptomatic patients tested positive by SARS-CoV2 specifically in first level hospitals as well in developing countries." @default.
- W3204703373 created "2021-10-11" @default.
- W3204703373 creator A5001593573 @default.
- W3204703373 creator A5002694143 @default.
- W3204703373 creator A5008212126 @default.
- W3204703373 creator A5008599877 @default.
- W3204703373 creator A5012379045 @default.
- W3204703373 creator A5014018414 @default.
- W3204703373 creator A5016345548 @default.
- W3204703373 creator A5031132271 @default.
- W3204703373 creator A5041775832 @default.
- W3204703373 creator A5045621431 @default.
- W3204703373 creator A5048654641 @default.
- W3204703373 creator A5062297429 @default.
- W3204703373 creator A5071432733 @default.
- W3204703373 creator A5072130324 @default.
- W3204703373 creator A5072418165 @default.
- W3204703373 creator A5073638493 @default.
- W3204703373 creator A5075657199 @default.
- W3204703373 creator A5076590049 @default.
- W3204703373 creator A5086871368 @default.
- W3204703373 date "2021-09-29" @default.
- W3204703373 modified "2023-10-08" @default.
- W3204703373 title "A PTX3/LDH/CRP signature correlates with lung injury CTs scan severity and disease progression in paucisymptomatic COVID-19" @default.
- W3204703373 cites W1803784511 @default.
- W3204703373 cites W1965008852 @default.
- W3204703373 cites W2003728766 @default.
- W3204703373 cites W2026616100 @default.
- W3204703373 cites W2046384238 @default.
- W3204703373 cites W2065061408 @default.
- W3204703373 cites W2096117114 @default.
- W3204703373 cites W2113752525 @default.
- W3204703373 cites W2147712391 @default.
- W3204703373 cites W2156038438 @default.
- W3204703373 cites W2549096187 @default.
- W3204703373 cites W2769969096 @default.
- W3204703373 cites W2786501966 @default.
- W3204703373 cites W2926015082 @default.
- W3204703373 cites W2947195216 @default.
- W3204703373 cites W2991479112 @default.
- W3204703373 cites W3001118548 @default.
- W3204703373 cites W3001897055 @default.
- W3204703373 cites W3002108456 @default.
- W3204703373 cites W3004906315 @default.
- W3204703373 cites W3007273493 @default.
- W3204703373 cites W3007497549 @default.
- W3204703373 cites W3007940623 @default.
- W3204703373 cites W3008627141 @default.
- W3204703373 cites W3008928028 @default.
- W3204703373 cites W3013393665 @default.
- W3204703373 cites W3013893137 @default.
- W3204703373 cites W3017125154 @default.
- W3204703373 cites W3022882668 @default.
- W3204703373 cites W3027918021 @default.
- W3204703373 cites W3033081808 @default.
- W3204703373 cites W3037791009 @default.
- W3204703373 cites W3097346600 @default.
- W3204703373 cites W3100180692 @default.
- W3204703373 cites W3111243178 @default.
- W3204703373 cites W3120017613 @default.
- W3204703373 cites W3170549259 @default.
- W3204703373 cites W3183339063 @default.
- W3204703373 cites W3185199984 @default.
- W3204703373 cites W3186502260 @default.
- W3204703373 cites W3191433220 @default.
- W3204703373 cites W3193204973 @default.
- W3204703373 cites W4251669420 @default.
- W3204703373 doi "https://doi.org/10.1101/2021.09.29.21264061" @default.
- W3204703373 hasPublicationYear "2021" @default.
- W3204703373 type Work @default.
- W3204703373 sameAs 3204703373 @default.
- W3204703373 citedByCount "0" @default.
- W3204703373 crossrefType "posted-content" @default.
- W3204703373 hasAuthorship W3204703373A5001593573 @default.
- W3204703373 hasAuthorship W3204703373A5002694143 @default.
- W3204703373 hasAuthorship W3204703373A5008212126 @default.
- W3204703373 hasAuthorship W3204703373A5008599877 @default.
- W3204703373 hasAuthorship W3204703373A5012379045 @default.
- W3204703373 hasAuthorship W3204703373A5014018414 @default.
- W3204703373 hasAuthorship W3204703373A5016345548 @default.
- W3204703373 hasAuthorship W3204703373A5031132271 @default.
- W3204703373 hasAuthorship W3204703373A5041775832 @default.
- W3204703373 hasAuthorship W3204703373A5045621431 @default.
- W3204703373 hasAuthorship W3204703373A5048654641 @default.
- W3204703373 hasAuthorship W3204703373A5062297429 @default.
- W3204703373 hasAuthorship W3204703373A5071432733 @default.
- W3204703373 hasAuthorship W3204703373A5072130324 @default.
- W3204703373 hasAuthorship W3204703373A5072418165 @default.
- W3204703373 hasAuthorship W3204703373A5073638493 @default.
- W3204703373 hasAuthorship W3204703373A5075657199 @default.
- W3204703373 hasAuthorship W3204703373A5076590049 @default.
- W3204703373 hasAuthorship W3204703373A5086871368 @default.
- W3204703373 hasBestOaLocation W32047033731 @default.
- W3204703373 hasConcept C126322002 @default.
- W3204703373 hasConcept C126838900 @default.
- W3204703373 hasConcept C151956035 @default.
- W3204703373 hasConcept C159654299 @default.
- W3204703373 hasConcept C167135981 @default.
- W3204703373 hasConcept C201903717 @default.
- W3204703373 hasConcept C203014093 @default.