Changes and Rate of Change in Neutrophil-Lymphocyte Ratio (∆NLR) as an Early Prognostic Marker for the Severity of Outcomes in Patients With COVID-19 and Its Applicability in Other Viral and Bacterial Diseases.
Changes and Rate of Change in Neutrophil-Lymphocyte Ratio (∆NLR) as an Early Prognostic Marker for the Severity of Outcomes in Patients With COVID-19 and Its Applicability in Other Viral and Bacterial Diseases.
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DOI：
10.7759/cureus.41774
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发表时间：
2023-07
期刊：
影响因子：
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通讯作者：
Pratap Singh U
中科院分区：
文献类型：
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作者：
Jasti N;Mn LR;Pothireddy NK;Sankepalli MR;Jagathkar GM;Pratap Singh U
Introduction: COVID-19 is a global pandemic that has spread rapidly and resulted in numerous deaths worldwide. Many inflammatory markers such as neutrophil-lymphocyte ratio (NLR), D-dimer, serum ferritin, C-reactive protein (CRP), and interleukin-6 (IL-6) were used for the diagnosis and prognosis of COVID-19. Methods: We have proposed using Delta NLR (0-48 hours) (∆NLR) as an early diagnostic marker for COVID-19 and other inflammatory disorders. We have created a prediction model based on six variables: overall severity, death, shifting to the ICU, length of stay, oxygen requirement, and ventilator support. Prediction models help us prepare for future pandemics through early diagnosis and management. Results: A total of 1,865 patient records were retrieved from the database. The final sample available for analysis was 461. Change in NLR or ∆NLR was significant for all the models (except for length of stay) created by logistic regression. Conclusion: An independent predictor of the poor prognosis of COVID-19 is the severity of the disease in the initial one or two days. ∆NLR is a unique marker, and its scope of use in other disorders’ prognoses must be further researched. The prediction models also help us in decision-making strategies and also prepare us for future pandemics.
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影响因子：
9.3
作者：
Cupp MA;Cariolou M;Tzoulaki I;Aune D;Evangelou E;Berlanga-Taylor AJ
通讯作者：
Berlanga-Taylor AJ
影响因子：
1.2
作者：
Rathod, Bharatsing D.;Amle, Dnyanesh;Khot, Rajashree S.;Prathipati, Kiran Kumar;Joshi, Prashant P.
通讯作者：
Joshi, Prashant P.
影响因子：
7.8
作者：
Parthasarathi, Ashwaghosha;Padukudru, Sunag;Arunachal, Sumalata;Basavaraj, Chetak Kadabasal;Krishna, Mamidipudi Thirumala;Ganguly, Koustav;Upadhyay, Swapna;Anand, Mahesh Padukudru
通讯作者：
Anand, Mahesh Padukudru
影响因子：
4.7
作者：
Moisa E;Corneci D;Negoita S;Filimon CR;Serbu A;Negutu MI;Grintescu IM
通讯作者：
Grintescu IM
DOI：
10.5005/jp-journals-10071-23801
发表时间：
2021-05
期刊：
Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine
影响因子：
--
作者：
Maddani SS;Gupta N;Umakanth S;Joylin S;Saravu K
通讯作者：
Saravu K