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  • Parthasarathi, A (author)

The Role of Neutrophil-to-Lymphocyte Ratio in Risk Stratification and Prognostication of COVID-19: A Systematic Review and Meta-Analysis

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-08-01
  • MDPI AG,2022

Numbers

  • LIBRIS-ID:oai:prod.swepub.kib.ki.se:150585722
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:150585722URI
  • https://doi.org/10.3390/vaccines10081233DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Several studies have proposed that the neutrophil–lymphocyte ratio (NLR) is one of the various biomarkers that can be useful in assessing COVID-19 disease-related outcomes. Our systematic review analyzes the relationship between on-admission NLR values and COVID-19 severity and mortality. Six different severity criteria were used. A search of the literature in various databases was conducted from 1 January 2020 to 1 May 2021. We calculated the pooled standardized mean difference (SMD) for the collected NLR values. A meta-regression analysis was performed, looking at the length of hospitalization and other probable confounders, such as age, gender, and comorbidities. A total of sixty-four studies were considered, which included a total of 15,683 patients. The meta-analysis showed an SMD of 3.12 (95% CI: 2.64–3.59) in NLR values between severe and non-severe patients. A difference of 3.93 (95% CI: 2.35–5.50) was found between survivors and non-survivors of the disease. Upon summary receiver operating characteristics analysis, NLR showed 80.2% (95% CI: 74.0–85.2%) sensitivity and 75.8% (95% CI: 71.3–79.9%) specificity for the prediction of severity and 78.8% (95% CI: 73.5–83.2%) sensitivity and 73.0% (95% CI: 68.4–77.1%) specificity for mortality, and was not influenced by age, gender, or co-morbid conditions. Conclusion: On admission, NLR predicts both severity and mortality in COVID-19 patients, and an NLR > 6.5 is associated with significantly greater the odds of mortality.

Added entries (persons, corporate bodies, meetings, titles ...)

  • Padukudru, S (author)
  • Arunachal, S (author)
  • Basavaraj, CK (author)
  • Krishna, MT (author)
  • Ganguly, KKarolinska Institutet (author)
  • Upadhyay, SKarolinska Institutet (author)
  • Anand, MP (author)
  • Karolinska Institutet (creator_code:org_t)

Related titles

  • In:Vaccines: MDPI AG10:82076-393X

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