Study of Early Warning Efficiency of Different Laboratory Markers in Predicting Progression of Disease in COVID-19

被引:0
|
作者
Krishnamurthy, Vishwanath [1 ]
Suhail, K. Mohammed [1 ]
Aslam, S. Shaikh Mohammed [1 ]
Raj, Madhu P. [1 ]
Patil, Prashanth [1 ]
Phaniraj, Priyanka [1 ]
机构
[1] MS Ramaiah Med Coll & Hosp, Dept Internal Med, Bengaluru, Karnataka, India
关键词
C reactive protein; early warning efficiency; Eosinopenia; progression of disease in COVID-19;
D O I
10.4103/aam.aam_117_21
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: COVID 19 pandemic has given rise to several challenges to clinicians and one of the keys in this is to predict the set of patients who progress from mild disease to moderate and severe. Apart from the symptomatology and signs, there are several lab parameters varying from biochemical, hematological to radiological parameters which help us in stratifying the stage of disease and also in deciding on which set of patients need close and vigilant monitoring. This would help us in better stratification of disease and utilize the available infrastructure and resources in an optimum way for better management of the disease. Aim: To analyze the early warning efficiency of laboratory parameters individually or in combination in predicting the progress of disease in patients from mild to moderate/severe disease. Materials and Methods: This was taken up as a retrospective study with 100 cases and 100 controls. The demographic details, inflammatory markers, biochemical markers and hematological markers were analyzed. Test of significance was employed to compare categorical variables while student t-test was employed to test the difference in the mean value such as age between case and control (Mann-Whitney U-test in parameters not having normal distribution). Receiver operating characteristic (ROC) curve was constructed for these parameters using cases and controls and area under the curve (AUC) were estimated which was used as an indicator of sensitivity and specificity of the parameter in their early warning efficiency. The critical values for each of the parameters either individually or in combination was estimated as well. Results: Among the parameters C reactive protein (CRP), d-dimers and eosinopenia have the best early warning efficiency. The area under the ROCs curve for neutrophil lymphocyte ratio (NLR), CRP. Ferritin, lactate dehydrogenase, Eosinopenia was 0.609, 0.947, 0.614, 0.554, 0.617 respectively at triage. However, a combination of eosinopenia with CRP (AUC-0.732) or NLR with CRP (AUC-0.728) have a good sensitivity and specificity in predicting the outcome regarding the progression of the disease. Conclusions: Among the parameters, CRP, d-dimers, Eosinopenia and NLR have the best early warning efficiency. However, a combination of Eosinopenia and CRP at triage should also serve as a red flag sign in patients apart from the well-known NLR and IL6 values.
引用
收藏
页码:371 / 376
页数:6
相关论文
共 50 条
  • [21] Screening for COVID-19 risk using VIEW (COVID-19 early warning) system
    Joshi, Shardul
    Sakhare, Gajanan
    Pais, Aditi R.
    INDIAN JOURNAL OF RESPIRATORY CARE, 2021, 10 (02) : 206 - 212
  • [22] Performance of early warning signals for disease re-emergence: A case study on COVID-19 data
    Proverbio, Daniele
    Kemp, Francoise
    Magni, Stefano
    Goncalves, Jorge
    PLOS COMPUTATIONAL BIOLOGY, 2022, 18 (03)
  • [23] Major Inflammatory Markers and Their Significance in Predicting Severity of COVID-19 Disease Pattern
    Aedh, Abdullah, I
    Hajri, Ali Hadi Al
    Alshahrani, Abdulaziz S.
    Adam, Mohammed A.
    Dahab, Abubaker Alsiddig
    Babker, Asaad M. A.
    Mohamed, Hatem
    INTERNATIONAL JOURNAL OF BIOMEDICINE, 2021, 11 (04) : 488 - 492
  • [24] Assessment of COVID-19 lockdown effect on early Alzheimer Disease progression
    Carmen Peña-Bautista
    Lourdes Álvarez-Sánchez
    Inés Ferrer-Cairols
    Lorena García-Vallés
    Miguel Baquero
    Consuelo Cháfer-Pericás
    Journal of Neurology, 2023, 270 : 4585 - 4592
  • [25] COVID-19 Infection and Coronary Plaque Progression: An Early Warning of a Potential Public Health Crisis
    Weir-McCall, Jonathan R.
    Bell, Jack S.
    RADIOLOGY, 2025, 314 (02)
  • [26] Assessment of COVID-19 lockdown effect on early Alzheimer Disease progression
    Pena-Bautista, Carmen
    alvarez-Sanchez, Lourdes
    Ferrer-Cairols, Ines
    Garcia-Valles, Lorena
    Baquero, Miguel
    Chafer-Pericas, Consuelo
    JOURNAL OF NEUROLOGY, 2023, 270 (10) : 4585 - 4592
  • [27] The role of laboratory parameters in predicting severity of COVID-19 disease in pregnant patients
    Sahin, Orhan
    Aktoz, Fatih
    Bagci, Helin
    Vurgun, Eren
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2022, 42 (06) : 1917 - 1921
  • [28] An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
    Chowdhury, Muhammad E. H.
    Rahman, Tawsifur
    Khandakar, Amith
    Al-Madeed, Somaya
    Zughaier, Susu M.
    Doi, Suhail A. R.
    Hassen, Hanadi
    Islam, Mohammad T.
    COGNITIVE COMPUTATION, 2024, 16 (04) : 1778 - 1793
  • [29] The Rapid Assessment and Early Warning Models for COVID-19
    Zhihua Bai
    Yue Gong
    Xiaodong Tian
    Ying Cao
    Wenjun Liu
    Jing Li
    Virologica Sinica, 2020, 35 (03) : 272 - 279
  • [30] SPATIOTEMPORAL EARLY WARNING SYSTEM FOR COVID-19 PANDEMIC
    Jaya, I. G. N. M.
    Andriyana, Y.
    Tantular, B.
    Krisiani, F.
    COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE, 2022,