Literature DB >> 33461497

Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study.

Zhi-Yong Zeng1, Shao-Dan Feng2, Gong-Ping Chen3, Jiang-Nan Wu4.   

Abstract

BACKGROUND: Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources.
OBJECTIVE: To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death).
METHODS: We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment.
RESULTS: During the follow-up period, 51 (14.5%) patients' conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P < 0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P < 0.001; death vs. survival: 7.19 vs. 2.25, P < 0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively.
CONCLUSIONS: The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

Entities:  

Keywords:  COVID-19; Death; Deterioration; Neutrophil to lymphocyte ratio; Shock

Year:  2021        PMID: 33461497     DOI: 10.1186/s12879-021-05796-3

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


  21 in total

1.  Comparison of clinical characteristics and outcome in RT-PCR positive and false-negative RT-PCR for COVID-19: A Retrospective analysis.

Authors:  Durga Shankar Meena; Bharat Kumar; Arjun Kachhwaha; Deepak Kumar; Satyendra Khichar; Gopal Krishana Bohra; Ankur Sharma; Nikhil Kothari; Pawan Garg; Binit Sureka; Mithu Banerjee; Mahendra Kumar Garg; Sanjeev Misra
Journal:  Infez Med       Date:  2022-09-01

2.  Predictive Value of Systemic Immune-Inflammation index and Neutrophil-to-Lymphocyte Ratio in Patients with Severe COVID-19.

Authors:  Wei Xia; Yafeng Tan; Shengmei Hu; Chengbin Li; Tao Jiang
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 3.512

Review 3.  Neutrophils in COVID-19: Not Innocent Bystanders.

Authors:  Ellen McKenna; Richard Wubben; Johana M Isaza-Correa; Ashanty M Melo; Aisling Ui Mhaonaigh; Niall Conlon; James S O'Donnell; Clíona Ní Cheallaigh; Tim Hurley; Nigel J Stevenson; Mark A Little; Eleanor J Molloy
Journal:  Front Immunol       Date:  2022-06-01       Impact factor: 8.786

4.  Impact of various hematological and biochemical parameters on mortality in coronavirus disease 2019 (COVID-19): A single-center study from North India.

Authors:  Tamoghna Ghosh; Tanima Dwivedi; Harsh Agarwal; Hariharan Iyer; Pawan Tiwari; Saurabh Mittal; Ritu Gupta; Sushma Bhatnagar; Saurabh Vig; Anant Mohan
Journal:  Lung India       Date:  2022 May-Jun

5.  Does Neutrophil-to-lymphocyte Ratio at Admission Predict Severity and Mortality in COVID-19 Patients? A Systematic Review and Meta-analysis.

Authors:  Prattay Guha Sarkar; Pragya Pant; Jagmohan Kumar; Amit Kumar
Journal:  Indian J Crit Care Med       Date:  2022-03

6.  High neutrophil-to-lymphocyte ratio at intensive care unit admission is associated with nutrition risk in patients with COVID-19.

Authors:  Paula M Martins; Tatyanne L N Gomes; Emanoelly P Franco; Liana L Vieira; Gustavo D Pimentel
Journal:  JPEN J Parenter Enteral Nutr       Date:  2022-02-16       Impact factor: 3.896

7.  Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters.

Authors:  Nicola Altini; Antonio Brunetti; Stefano Mazzoleni; Fabrizio Moncelli; Ilenia Zagaria; Berardino Prencipe; Erika Lorusso; Enrico Buonamico; Giovanna Elisiana Carpagnano; Davide Fiore Bavaro; Mariacristina Poliseno; Annalisa Saracino; Annalisa Schirinzi; Riccardo Laterza; Francesca Di Serio; Alessia D'Introno; Francesco Pesce; Vitoantonio Bevilacqua
Journal:  Sensors (Basel)       Date:  2021-12-20       Impact factor: 3.576

8.  MPR and NLR as Prognostic Markers in ICU-Admitted Patients with COVID-19 in Jazan, Saudi Arabia.

Authors:  Abdullah A Mobarki; Gasim Dobie; Muhammad Saboor; Aymen M Madkhali; Mohammad S Akhter; Ali Hakamy; Adel Humran; Yousof Hamali; Denise E Jackson; Hassan A Hamali
Journal:  Infect Drug Resist       Date:  2021-11-23       Impact factor: 4.003

9.  Assessment of COVID-19 progression on day 5 from symptoms onset.

Authors:  Elisa Gentilotti; Alessia Savoldi; Monica Compri; Anna Górska; Pasquale De Nardo; Alessandro Visentin; Giorgia Be; Elisa Razzaboni; Nicola Soriolo; Dario Meneghin; Domenico Girelli; Claudio Micheletto; Sara Mehrabi; Elda Righi; Evelina Tacconelli
Journal:  BMC Infect Dis       Date:  2021-08-28       Impact factor: 3.090

10.  The Predictive Role of NLR, d-NLR, MLR, and SIRI in COVID-19 Mortality.

Authors:  Cosmin Citu; Florin Gorun; Andrei Motoc; Ioan Sas; Oana Maria Gorun; Bogdan Burlea; Ioana Tuta-Sas; Larisa Tomescu; Radu Neamtu; Daniel Malita; Ioana Mihaela Citu
Journal:  Diagnostics (Basel)       Date:  2022-01-06
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