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Two novel nomograms based on inflammatory cytokines or lymphocyte subsets to differentially diagnose severe or critical and Non-Severe COVID-19.
Li, Zhijun; Jiang, Nan; Li, Xinwei; Yang, Bo; Jin, Mengdi; Sun, Yaoyao; He, Yang; Liu, Yang; Wang, Yueying; Si, Daoyuan; Ma, Piyong; Zhang, Jinnan; Liu, Tianji; Yu, Qiong.
  • Li Z; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • Jiang N; Department of Emergency, China-Japan Union Hospital of Jilin University, Changchun 130021, China.
  • Li X; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • Yang B; Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
  • Jin M; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • Sun Y; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • He Y; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • Liu Y; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • Wang Y; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
  • Si D; Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun 130021, China.
  • Ma P; Department of Critical Care Unit, China-Japan Union Hospital of Jilin University, Changchun 130021, China.
  • Zhang J; Department of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130021, China.
  • Liu T; Department of Emergency, China-Japan Union Hospital of Jilin University, Changchun 130021, China.
  • Yu Q; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China.
Aging (Albany NY) ; 13(14): 17961-17977, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1318481
ABSTRACT
We intend to evaluate the differences of the clinical characteristics, cytokine profiles and immunological features in patients with different severity of COVID-19, and to develop novel nomograms based on inflammatory cytokines or lymphocyte subsets for the differential diagnostics for severe or critical and non-severe COVID-19 patients. We retrospectively studied 254 COVID-19 patients, 90 of whom were severe or critical patients and 164 were non-severe patients. Severe or critical patients had significantly higher levels of inflammatory cytokines than non-severe patients as well as lower levels of lymphocyte subsets. Significantly positive correlations between cytokine profiles were observed, while they were all significantly negatively correlated with lymphocyte subsets. Two effective nomograms were developed according to two multivariable logistic regression cox models based on inflammatory cytokine profiles and lymphocyte subsets separately. The areas under the receiver operating characteristics of two nomograms were 0.834 (95% CI 0.779-0.888) and 0.841 (95% CI 0.756-0.925). The bootstrapped-concordance indexes of two nomograms were 0.834 and 0.841 in training set, and 0.860 and 0.852 in validation set. Calibration curves and decision curve analyses demonstrated that the nomograms were well calibrated and had significantly more clinical net benefits. Our novel nomograms can accurately predict disease severity of COVID-19, which may facilitate the identification of severe or critical patients and assist physicians in making optimized treatment suggestions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / Lymphocyte Subsets / Decision Support Techniques / Inflammation Mediators / Nomograms / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Aging (Albany NY) Journal subject: Geriatrics Year: 2021 Document Type: Article Affiliation country: Aging.203307

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / Lymphocyte Subsets / Decision Support Techniques / Inflammation Mediators / Nomograms / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Aging (Albany NY) Journal subject: Geriatrics Year: 2021 Document Type: Article Affiliation country: Aging.203307