Risk factors for death in 1859 subjects with COVID-19

We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated wit...

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Vydáno v:Leukemia Ročník 34; číslo 8; s. 2173 - 2183
Hlavní autoři: Chen, Lei, Yu, Jianming, He, Wenjuan, Chen, Li, Yuan, Guolin, Dong, Fang, Chen, Wenlan, Cao, Yulin, Yang, Jingyan, Cai, Liling, Wu, Di, Ran, Qijie, Li, Lei, Liu, Qiaomei, Ren, Wenxiang, Gao, Fei, Wang, Hongxiang, Chen, Zhichao, Gale, Robert Peter, Li, Qiubai, Hu, Yu
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Nature Publishing Group 01.08.2020
Témata:
Adult
Aged
Aged, 80 and over
Betacoronavirus - isolation & purification
Biomarkers - blood
Confidence intervals
Coronavirus Infections - blood
Coronavirus Infections - mortality
Coronavirus Infections - pathology
Coronaviruses
COVID-19
Creatinine
Death
Dimers
Female
Follow-Up Studies
Humans
Lymphocytes
Lymphocytes - pathology
Male
Middle Aged
Mortality
Mortality - trends
Neutrophils - pathology
Pandemics
Platelets
Pneumonia, Viral - blood
Pneumonia, Viral - mortality
Pneumonia, Viral - pathology
Prognosis
Regression analysis
Risk analysis
Risk Factors
ROC Curve
SARS-CoV-2
Severity of Illness Index
Statistical analysis
Survival Rate
Thromboplastin
ISSN:0887-6924, 1476-5551, 1476-5551
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Abstract We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.
AbstractList We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.
We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log10 neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log10 D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log10 serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log10NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log10 neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log10 D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log10 serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log10NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.
We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log10 neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log10 D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log10 serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log10NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.
Author Chen, Wenlan
Cao, Yulin
Ren, Wenxiang
Yuan, Guolin
Dong, Fang
Chen, Lei
Chen, Zhichao
He, Wenjuan
Liu, Qiaomei
Chen, Li
Wu, Di
Wang, Hongxiang
Li, Qiubai
Gale, Robert Peter
Ran, Qijie
Yu, Jianming
Gao, Fei
Yang, Jingyan
Cai, Liling
Li, Lei
Hu, Yu
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  surname: Chen
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  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
– sequence: 2
  givenname: Jianming
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  fullname: Yu, Jianming
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
– sequence: 3
  givenname: Wenjuan
  surname: He
  fullname: He, Wenjuan
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
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  surname: Chen
  fullname: Chen, Li
  organization: Department of Hematology, Wuhan Central Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
– sequence: 5
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  fullname: Yuan, Guolin
  organization: Department of Hematology, Xiangyang Central Hospital, the Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, 441021, China
– sequence: 6
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  fullname: Dong, Fang
  organization: Intensive Care Units of Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
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  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
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  surname: Cao
  fullname: Cao, Yulin
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
– sequence: 9
  givenname: Jingyan
  surname: Yang
  fullname: Yang, Jingyan
  organization: Department of Urology Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
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  givenname: Liling
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  fullname: Cai, Liling
  organization: Department of Urology Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
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  givenname: Di
  surname: Wu
  fullname: Wu, Di
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
– sequence: 12
  givenname: Qijie
  surname: Ran
  fullname: Ran, Qijie
  organization: Department of Hematology, General Hospital of Central Theater Command, PLA, Wuhan, 300700, China
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  fullname: Li, Lei
  organization: Wuhan Jin-Yin-Tan Hospital, Wuhan, China
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  fullname: Liu, Qiaomei
  organization: Medical Records Statistics Department of Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
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  givenname: Wenxiang
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  fullname: Wang, Hongxiang
  organization: Department of Hematology, Wuhan Central Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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  fullname: Chen, Zhichao
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
– sequence: 19
  givenname: Robert Peter
  surname: Gale
  fullname: Gale, Robert Peter
  organization: Center for Hematology Research, Department of Immunology and Inflammation, Imperial College London, London, UK
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  givenname: Qiubai
  orcidid: 0000-0001-7884-0745
  surname: Li
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  email: qiubaili@hust.edu.cn
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. qiubaili@hust.edu.cn
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  email: dr_huyu@126.com
  organization: Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. dr_huyu@126.com
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32546725$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
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PublicationTitle Leukemia
PublicationTitleAlternate Leukemia
PublicationYear 2020
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Snippet We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for...
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SubjectTerms Adult
Aged
Aged, 80 and over
Betacoronavirus - isolation & purification
Biomarkers - blood
Confidence intervals
Coronavirus Infections - blood
Coronavirus Infections - mortality
Coronavirus Infections - pathology
Coronaviruses
COVID-19
Creatinine
Death
Dimers
Female
Follow-Up Studies
Humans
Lymphocytes
Lymphocytes - pathology
Male
Middle Aged
Mortality
Mortality - trends
Neutrophils - pathology
Pandemics
Platelets
Pneumonia, Viral - blood
Pneumonia, Viral - mortality
Pneumonia, Viral - pathology
Prognosis
Regression analysis
Risk analysis
Risk Factors
ROC Curve
SARS-CoV-2
Severity of Illness Index
Statistical analysis
Survival Rate
Thromboplastin
Title Risk factors for death in 1859 subjects with COVID-19
URI https://www.ncbi.nlm.nih.gov/pubmed/32546725
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Volume 34
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