PMC:7795966 / 35836-36723 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"1638","span":{"begin":223,"end":228},"obj":"Gene"},{"id":"1639","span":{"begin":746,"end":751},"obj":"Gene"},{"id":"1640","span":{"begin":657,"end":662},"obj":"Gene"},{"id":"1641","span":{"begin":677,"end":684},"obj":"Species"},{"id":"1642","span":{"begin":48,"end":56},"obj":"Disease"},{"id":"1643","span":{"begin":293,"end":301},"obj":"Disease"},{"id":"1644","span":{"begin":412,"end":420},"obj":"Disease"},{"id":"1645","span":{"begin":668,"end":676},"obj":"Disease"}],"attributes":[{"id":"A1638","pred":"tao:has_database_id","subj":"1638","obj":"Gene:3048"},{"id":"A1639","pred":"tao:has_database_id","subj":"1639","obj":"Gene:3048"},{"id":"A1640","pred":"tao:has_database_id","subj":"1640","obj":"Gene:3048"},{"id":"A1641","pred":"tao:has_database_id","subj":"1641","obj":"Tax:9606"},{"id":"A1642","pred":"tao:has_database_id","subj":"1642","obj":"MESH:C000657245"},{"id":"A1643","pred":"tao:has_database_id","subj":"1643","obj":"MESH:C000657245"},{"id":"A1644","pred":"tao:has_database_id","subj":"1644","obj":"MESH:C000657245"},{"id":"A1645","pred":"tao:has_database_id","subj":"1645","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"(a,b) Relative feature importance in predicting COVID-19 according to the study of Soltan et al. [19]. Two models were built, one with data based on emergency presentation (a) and one with data based on hospital admission. MetHb was a relevant parameter in both models (indicated in red). (c) COVID-19 non-survivors (n = 22) show a steeper and higher increase of COHb during the curse of the disease compared to COVID-19 survivors (n = 41), according to the study of Paccaudi et al. [24]. The two COHb time-series are statistically significantly different. The yellow bar refers to the COHb reference ranges for healthy non-smokers [16]. (d) Time-course of MetHb of a COVID-19 patient reported by Palmer et al. [22]. The yellow bar refers to the MetHb reference range for healthy non-smokers [15]. The figures show data extracted from the original figures of the respective publications."}

{"project":"LitCovid-sentences","denotations":[{"id":"T264","span":{"begin":103,"end":222},"obj":"Sentence"},{"id":"T265","span":{"begin":223,"end":488},"obj":"Sentence"},{"id":"T266","span":{"begin":489,"end":556},"obj":"Sentence"},{"id":"T267","span":{"begin":557,"end":716},"obj":"Sentence"},{"id":"T268","span":{"begin":717,"end":797},"obj":"Sentence"},{"id":"T269","span":{"begin":798,"end":887},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"(a,b) Relative feature importance in predicting COVID-19 according to the study of Soltan et al. [19]. Two models were built, one with data based on emergency presentation (a) and one with data based on hospital admission. MetHb was a relevant parameter in both models (indicated in red). (c) COVID-19 non-survivors (n = 22) show a steeper and higher increase of COHb during the curse of the disease compared to COVID-19 survivors (n = 41), according to the study of Paccaudi et al. [24]. The two COHb time-series are statistically significantly different. The yellow bar refers to the COHb reference ranges for healthy non-smokers [16]. (d) Time-course of MetHb of a COVID-19 patient reported by Palmer et al. [22]. The yellow bar refers to the MetHb reference range for healthy non-smokers [15]. The figures show data extracted from the original figures of the respective publications."}