PubMed:32217650 JSONTXT

{"project":"LitCovid-sentences-v1","denotations":[{"id":"TextSentencer_T1","span":{"begin":0,"end":67},"obj":"Sentence"},{"id":"TextSentencer_T2","span":{"begin":68,"end":90},"obj":"Sentence"},{"id":"TextSentencer_T3","span":{"begin":91,"end":102},"obj":"Sentence"},{"id":"TextSentencer_T4","span":{"begin":103,"end":182},"obj":"Sentence"},{"id":"TextSentencer_T5","span":{"begin":183,"end":193},"obj":"Sentence"},{"id":"TextSentencer_T6","span":{"begin":194,"end":334},"obj":"Sentence"},{"id":"TextSentencer_T7","span":{"begin":335,"end":343},"obj":"Sentence"},{"id":"TextSentencer_T8","span":{"begin":344,"end":565},"obj":"Sentence"},{"id":"TextSentencer_T9","span":{"begin":566,"end":689},"obj":"Sentence"},{"id":"TextSentencer_T10","span":{"begin":690,"end":805},"obj":"Sentence"},{"id":"TextSentencer_T11","span":{"begin":806,"end":814},"obj":"Sentence"},{"id":"TextSentencer_T12","span":{"begin":815,"end":843},"obj":"Sentence"},{"id":"TextSentencer_T13","span":{"begin":844,"end":878},"obj":"Sentence"},{"id":"TextSentencer_T14","span":{"begin":879,"end":936},"obj":"Sentence"},{"id":"TextSentencer_T15","span":{"begin":937,"end":992},"obj":"Sentence"},{"id":"TextSentencer_T16","span":{"begin":993,"end":1046},"obj":"Sentence"},{"id":"TextSentencer_T17","span":{"begin":1047,"end":1132},"obj":"Sentence"},{"id":"TextSentencer_T18","span":{"begin":1133,"end":1195},"obj":"Sentence"},{"id":"TextSentencer_T19","span":{"begin":1196,"end":1494},"obj":"Sentence"},{"id":"TextSentencer_T20","span":{"begin":1495,"end":1647},"obj":"Sentence"},{"id":"TextSentencer_T21","span":{"begin":1648,"end":1659},"obj":"Sentence"},{"id":"TextSentencer_T22","span":{"begin":1660,"end":1788},"obj":"Sentence"},{"id":"TextSentencer_T23","span":{"begin":1789,"end":1869},"obj":"Sentence"}],"text":"Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis.\nBACKGROUND: The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide.\nOBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status.\nMETHODS: We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.\nRESULTS: The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424-5.048], diabetes (HR 1.59, 95%CI 1.03-2.45), hypertension (HR 1.58, 95%CI 1.07-2.32) and malignancy (HR 3.50, 95%CI 1.60-7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16-2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61-4.17) among patients with two or more comorbidities.\nCONCLUSION: Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes."}

{"project":"LitCovid-PD-HP-v1","denotations":[{"id":"T1","span":{"begin":1082,"end":1094},"obj":"Phenotype"},{"id":"T2","span":{"begin":1240,"end":1244},"obj":"Phenotype"},{"id":"T3","span":{"begin":1355,"end":1367},"obj":"Phenotype"}],"attributes":[{"id":"A1","pred":"hp_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/HP_0000822"},{"id":"A2","pred":"hp_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/HP_0006510"},{"id":"A3","pred":"hp_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/HP_0000822"}],"text":"Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis.\nBACKGROUND: The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide.\nOBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status.\nMETHODS: We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.\nRESULTS: The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424-5.048], diabetes (HR 1.59, 95%CI 1.03-2.45), hypertension (HR 1.58, 95%CI 1.07-2.32) and malignancy (HR 3.50, 95%CI 1.60-7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16-2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61-4.17) among patients with two or more comorbidities.\nCONCLUSION: Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes."}

{"project":"LitCovid-PD-MONDO-v1","denotations":[{"id":"T1","span":{"begin":107,"end":131},"obj":"Disease"},{"id":"T2","span":{"begin":260,"end":284},"obj":"Disease"},{"id":"T3","span":{"begin":1082,"end":1094},"obj":"Disease"},{"id":"T4","span":{"begin":1116,"end":1124},"obj":"Disease"},{"id":"T5","span":{"begin":1240,"end":1244},"obj":"Disease"},{"id":"T6","span":{"begin":1318,"end":1326},"obj":"Disease"},{"id":"T7","span":{"begin":1355,"end":1367},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"mondo_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A2","pred":"mondo_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A3","pred":"mondo_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/MONDO_0005044"},{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0005015"},{"id":"A5","pred":"mondo_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/MONDO_0005002"},{"id":"A6","pred":"mondo_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/MONDO_0005015"},{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0005044"}],"text":"Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis.\nBACKGROUND: The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide.\nOBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status.\nMETHODS: We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.\nRESULTS: The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424-5.048], diabetes (HR 1.59, 95%CI 1.03-2.45), hypertension (HR 1.58, 95%CI 1.07-2.32) and malignancy (HR 3.50, 95%CI 1.60-7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16-2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61-4.17) among patients with two or more comorbidities.\nCONCLUSION: Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes."}

{"project":"LitCovid-OGER-BB","denotations":[{"id":"T1","span":{"begin":49,"end":57},"obj":"SP_7"},{"id":"T2","span":{"begin":107,"end":118},"obj":"NCBITaxon:11118"},{"id":"T3","span":{"begin":133,"end":141},"obj":"SP_7"},{"id":"T4","span":{"begin":286,"end":294},"obj":"SP_7"},{"id":"T5","span":{"begin":683,"end":688},"obj":"GO:0016265"},{"id":"T6","span":{"begin":1240,"end":1244},"obj":"PR:000004197"},{"id":"T7","span":{"begin":1696,"end":1704},"obj":"SP_7"}],"namespaces":[{"prefix":"NCBITaxon","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"}],"text":"Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis.\nBACKGROUND: The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide.\nOBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status.\nMETHODS: We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.\nRESULTS: The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424-5.048], diabetes (HR 1.59, 95%CI 1.03-2.45), hypertension (HR 1.58, 95%CI 1.07-2.32) and malignancy (HR 3.50, 95%CI 1.60-7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16-2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61-4.17) among patients with two or more comorbidities.\nCONCLUSION: Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes."}

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We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.\nRESULTS: The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424-5.048], diabetes (HR 1.59, 95%CI 1.03-2.45), hypertension (HR 1.58, 95%CI 1.07-2.32) and malignancy (HR 3.50, 95%CI 1.60-7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16-2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61-4.17) among patients with two or more comorbidities.\nCONCLUSION: Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes."}

{"project":"MeasurableQuantitativeAnnotation","denotations":[{"id":"E1","span":{"begin":819,"end":827},"obj":"entity"},{"id":"N1","span":{"begin":832,"end":836},"obj":"num"},{"id":"U1","span":{"begin":1,"end":6},"obj":"unit"},{"id":"E1","span":{"begin":870,"end":877},"obj":"entity"},{"id":"N1","span":{"begin":844,"end":847},"obj":"num"},{"id":"N2","span":{"begin":858,"end":862},"obj":"num"},{"id":"U1","span":{"begin":862,"end":863},"obj":"unit"},{"id":"E1","span":{"begin":1082,"end":1094},"obj":"entity"},{"id":"E2","span":{"begin":1116,"end":1124},"obj":"entity"},{"id":"N1","span":{"begin":1096,"end":1100},"obj":"num"},{"id":"N2","span":{"begin":1126,"end":1129},"obj":"num"},{"id":"U1","span":{"begin":1100,"end":1101},"obj":"unit"},{"id":"U2","span":{"begin":1129,"end":1130},"obj":"unit"}],"relations":[{"id":"R1","pred":"associateWith","subj":"E1","obj":"N1"},{"id":"R2","pred":"associateOf","subj":"N1","obj":"U1"},{"id":"R1","pred":"associateWith","subj":"E1","obj":"N1"},{"id":"R2","pred":"associateWith","subj":"E1","obj":"N2"},{"id":"R3","pred":"associateOf","subj":"N2","obj":"U1"},{"id":"R1","pred":"associateWith","subj":"E1","obj":"N1"},{"id":"R2","pred":"associateOf","subj":"N1","obj":"U1"},{"id":"R3","pred":"associateWith","subj":"E2","obj":"N2"},{"id":"R4","pred":"associateOf","subj":"N2","obj":"U2"}],"text":"Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis.\nBACKGROUND: The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide.\nOBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status.\nMETHODS: We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.\nRESULTS: The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424-5.048], diabetes (HR 1.59, 95%CI 1.03-2.45), hypertension (HR 1.58, 95%CI 1.07-2.32) and malignancy (HR 3.50, 95%CI 1.60-7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16-2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61-4.17) among patients with two or more comorbidities.\nCONCLUSION: Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes."}