Evidence map›Paper›PMID 35461157›Full record

ArticleInternational immunopharmacology2022

Evaluation of individual and combined NLR, LMR and CLR ratio for prognosis disease severity and outcomes in patients with COVID-19.

Awatef Ben Jemaa, Noura Salhi, Meriam Ben Othmen, Hana Ben Ali, Jihene Guissouma, Hatem Ghadhoune, Ridha Oueslati, Hamdi Dhaouadi

Open access · greenAbstract read
In one paragraph

Article in International immunopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 35 citations in OpenAlex.

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  13. [Early prediction of severe COVID-19 in patients with Sjögren's syndrome].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2023
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  16. [Hematological indices associated with mortality in critically ill patients with COVID-19].Revista medica del Instituto Mexicano del Seguro Social · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Awatef Ben JemaaBiodhaouadi Laboratory, Center for Medical Analysis and Reproduction Biology, Bizerte, Tunisia; Unit of Immunology and Microbiology Environmental and Carcinogenesis (IMEC), Faculty of Sciences of Bizerte, 7021 Zarzouna, Tunisia; Department of Biology, Faculty of Science of Gafsa, University of Gafsa, Gafsa, Tunisia. Electronic address: benjemaa_awatef@yahoo.fr.
Noura SalhiBiodhaouadi Laboratory, Center for Medical Analysis and Reproduction Biology, Bizerte, Tunisia; Unit of Immunology and Microbiology Environmental and Carcinogenesis (IMEC), Faculty of Sciences of Bizerte, 7021 Zarzouna, Tunisia.
Meriam Ben OthmenBiodhaouadi Laboratory, Center for Medical Analysis and Reproduction Biology, Bizerte, Tunisia.
Hana Ben AliIntensive Care Department, CHU Habib Bougatpha Hospital, Bizerte, Tunisia.
Jihene GuissoumaIntensive Care Department, CHU Habib Bougatpha Hospital, Bizerte, Tunisia.
Hatem GhadhouneIntensive Care Department, CHU Habib Bougatpha Hospital, Bizerte, Tunisia.
Ridha OueslatiUnit of Immunology and Microbiology Environmental and Carcinogenesis (IMEC), Faculty of Sciences of Bizerte, 7021 Zarzouna, Tunisia.
Hamdi DhaouadiBiodhaouadi Laboratory, Center for Medical Analysis and Reproduction Biology, Bizerte, Tunisia.
Hopital Universitaire Habib Bourguiba · TNUniversity of Gafsa · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectThe study aimed to utilize the peripheral blood immunological parameters and resulting individual and combined inflammatory indices [neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR) and C-reactive protein/lymphocyte ratio (CLR)] in predicting the prognosis and mortality in COVID-19 patients. MATERIALS AND

methodsThe measurements of individual and combined inflammatory indices (NLR, LMR and CLR) were performed at hospital admission and at last day of hospitalization for COVID-19 patients.

resultsProminent elevation of NLR and CLR among patients with refractory disease admitted to Intensive Care Unit (ICU) and deceased patients was found when compared with moderate ill patients and healthy controls. Interestingly, NLR and CLR typically returned to near normal value as patients recover from severe infection. By contrast, deceased patients had persistent increased NLR and CLR until last day of hospitalization in ICU. ROC obtained for the above parameters showed that NLR and CLR were the most associated immunological parameters with the severity of COVID-19 disease. Using multivariate logistic regression analysis, CLR > 69.46 is an independent prognostic factors in identifying critically ill COVID-19 cases. Study of the combined markers NLR and CLR showed that most of patients admitted in ICU were characterized with high NLR combined with high CLR, while most of healthy subjects and non-ICU group have low NLR combined with low CLR.

conclusionThe combination of NLR and CLR could improve the predictive efficacy compared to individual markers to segregate patients who will develop a severe disease from those with a mild pathology.

Indexed as

COVID-19NeutrophilsBiomarkersHumansLymphocytesMonocytesPrognosisRetrospective StudiesROC CurveSeverity of Illness IndexBiomarkersCLRCombined markersCOVID-19NLRPrognosisSARS-CoV-2

Identifiers

PMID35461157
PMCPMC9015974
OpenAlexW4224283016

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.