Your browser doesn't support javascript.
Using a diagnostic model based on routine laboratory tests to distinguish patients infected with SARS-CoV-2 from those infected with influenza virus.
Luo, Ying; Yuan, Xu; Xue, Ying; Mao, Liyan; Lin, Qun; Tang, Guoxing; Song, Huijuan; Liu, Weiyong; Hou, Hongyan; Wang, Feng; Sun, Ziyong.
  • Luo Y; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yuan X; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xue Y; Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
  • Mao L; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Lin Q; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Tang G; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Song H; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Liu W; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Hou H; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wang F; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: fengwang@tjh.tjmu.edu.cn.
  • Sun Z; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: zysun@tjh.tjmu.edu.cn.
Int J Infect Dis ; 95: 436-440, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-155290
ABSTRACT

BACKGROUND:

The differential diagnosis between novel coronavirus pneumonia patients (NCPP) and influenza patients (IP) remains a challenge in clinical practice.

METHODS:

Between January 2018 and March 2020, 1,027 NCPP and 1,140 IP were recruited from Tongji hospital. Routine blood examination, biochemical indicators and coagulation function analysis were simultaneously performed in all participants.

RESULTS:

There was no sex predominance in NCPP. The NCPP were frequently encountered in the sixth and seventh decades of life. The mean age of NCPP (56±16 years) was higher than IP (47±17 years), but without statistical difference. Although most results of routine laboratory tests between NCPP and IP had no significant differences, some laboratory tests showed an obvious change in NCPP. It was observed that NCPP had significantly decreased white blood cells, alkaline phosphatase and d-dimer compared with IP. However, the results of lactate dehydrogenase, erythrocyte sedimentation rate and fibrinogen were significantly increased in NCPP compared with IP. The diagnostic model based on a combination of 18 routine laboratory indicators showed an area under the curve of 0.796 (95% CI, 0.777-0.814), with a sensitivity of 46.93% and specificity of 90.09% when using a cut-off value of 0.598.

CONCLUSIONS:

Some routine laboratory results had statistical difference between NCPP and IP. A diagnostic model based on a combination of routine laboratory results provided an adjunct approach in the differential diagnosis between NCPP and IP.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Influenza, Human / Betacoronavirus Type of study: Diagnostic study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: J.ijid.2020.04.078

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Influenza, Human / Betacoronavirus Type of study: Diagnostic study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: J.ijid.2020.04.078