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Infection and Drug Resistance Volume 13, 2020 - Issue
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Original Research

The mNCP-SPI Score Predicting Risk of Severe COVID-19 among Mild-Pneumonia Patients on Admission

Lingxi Guo1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0003-1191-8397
ORCID Icon,
Weining Xiong3 Department of Respiratory and Critical Care Medicine, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
,
Dong Liu1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
,
Yun Feng1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-8198-5240
ORCID Icon,
Peng Wang4 Departement of Respiratory and Critical Care Medicine, Baoshan Branch of Shanghai First People’s Hospital, Shanghai, People’s Republic of China
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Xuan Dong5 Tuberculosis and Respiratory Department, Wuhan Jinyintan Hospital, Wuhan, People’s Republic of China
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Rong Chen1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
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Yi Wang6 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, People’s Republic of China
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Lei Zhang6 Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, People’s Republic of China
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Jingwen Huang1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
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Hanssa Dwarka Summah7 Chest Department, Poudre D’Or Chest Hospital, Riviere du Rempart, Mauritius
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Fangying Lu1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
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Yusang Xie1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-6612-3930
ORCID Icon,
Huihuang Lin1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
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Jiayang Yan1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
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Hongzhou Lu8 Department of Infectious Disease, Shanghai Public Health Clinical Center, Shanghai, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-8308-5534
ORCID Icon,
Min Zhou1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
&
Jieming Qu1 Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China;2 Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
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Pages 3593-3600 | Published online: 14 Oct 2020

Figures & data

Table 1 Comparison of T-lymphocyte Subtypes, Humoral Immunity, and Cytokines Between Severe and Nonsevere Groups

Table 2 Univariate and Multivariate Analysis Associated with In-Hospital Severity Progression of Patients with mNCP

Figure 1 Nomogram of the mNCP-SPI. A score of 165 was considered the cutoff.

Figure 1 Nomogram of the mNCP-SPI. A score of 165 was considered the cutoff.

Figure 2 ROC curve and comparison between mNCP-SPI and CURB-65 scores on admission. This model showed c-statistics for the mNCP-SPI of 0.747, with sensitivity and specificity 0.764 and 0.644, respectively, under the cutoff of 165. Different levels of the mNCP-SPI are shown by color: blue the lowest and red the highest. The ROC curve of CURB-65 is presented in green, and the reference line of 0.5 is yellow.

Figure 2 ROC curve and comparison between mNCP-SPI and CURB-65 scores on admission. This model showed c-statistics for the mNCP-SPI of 0.747, with sensitivity and specificity 0.764 and 0.644, respectively, under the cutoff of 165. Different levels of the mNCP-SPI are shown by color: blue the lowest and red the highest. The ROC curve of CURB-65 is presented in green, and the reference line of 0.5 is yellow.

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