Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients
The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 i...
Gespeichert in:
Veröffentlicht in: | Journal of clinical medicine 2022-04, Vol.11 (8), p.2235 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 8 |
container_start_page | 2235 |
container_title | Journal of clinical medicine |
container_volume | 11 |
creator | Regolo, Matteo Vaccaro, Mauro Sorce, Alessandra Stancanelli, Benedetta Colaci, Michele Natoli, Giuseppe Russo, Mario Alessandria, Innocenza Motta, Massimo Santangelo, Nicola Fiorito, Letizia Giarrusso, Ornella Giangreco, Federica Arena, Andrea Noto, Paola Ciampi, Claudio Carpinteri, Giuseppe Malatino, Lorenzo |
description | The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission. |
doi_str_mv | 10.3390/jcm11082235 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9027549</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2652977405</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-d5a004a061d3022a9b5515f72b388f9cb966598ec28ec0cfebf87139b094a3f73</originalsourceid><addsrcrecordid>eNpdkd9rFDEQxxdRbKl98l0CvlRkdZJsNsmLUM5fB2dbivU1ZLPZXo7d5JpkC_fuH26O1nIaGDIwn_nODN-qeo3hA6USPm7MhDEIQih7Vh0T4LwGKujzg_yoOk1pA-UJ0RDMX1ZHlDWspUQcV78v7Jxj2K7dWOdQr3bTdh3MLlt0rbML6Oxidf0OLRPS6CqGySXnb0tme2dyiCgM6EeIWY8u75D2PTrvC5Nc8CgHtPTZ-uTuLVroaNGNd3nfsbj8tfxcY4muygjrc3pVvRj0mOzp439S3Xz98nPxvV5dflsuzle1aUDmumcaoNHQ4p4CIVp2jGE2cNJRIQZpOtm2TAprSAkwg-0GwTGVHchG04HTk-rTg-527ibbmzI76lFto5t03Kmgnfq34t1a3YZ7JYFw1sgicPYoEMPdbFNW5Vpjx1F7G-akSMsaIhi0UNC3_6GbMEdfzttTRHLeACvU-wfKxJBStMPTMhjU3mB1YHCh3xzu_8T-tZP-AVAmoIw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2652977405</pqid></control><display><type>article</type><title>Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>PubMed Central</source><creator>Regolo, Matteo ; Vaccaro, Mauro ; Sorce, Alessandra ; Stancanelli, Benedetta ; Colaci, Michele ; Natoli, Giuseppe ; Russo, Mario ; Alessandria, Innocenza ; Motta, Massimo ; Santangelo, Nicola ; Fiorito, Letizia ; Giarrusso, Ornella ; Giangreco, Federica ; Arena, Andrea ; Noto, Paola ; Ciampi, Claudio ; Carpinteri, Giuseppe ; Malatino, Lorenzo</creator><creatorcontrib>Regolo, Matteo ; Vaccaro, Mauro ; Sorce, Alessandra ; Stancanelli, Benedetta ; Colaci, Michele ; Natoli, Giuseppe ; Russo, Mario ; Alessandria, Innocenza ; Motta, Massimo ; Santangelo, Nicola ; Fiorito, Letizia ; Giarrusso, Ornella ; Giangreco, Federica ; Arena, Andrea ; Noto, Paola ; Ciampi, Claudio ; Carpinteri, Giuseppe ; Malatino, Lorenzo</creatorcontrib><description>The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm11082235</identifier><identifier>PMID: 35456328</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Biomarkers ; Chronic illnesses ; Clinical medicine ; Coronaviruses ; COVID-19 ; Disease ; Hospitalization ; Hospitals ; Inflammation ; Intensive care ; Lymphocytes ; Medical prognosis ; Mortality ; Neutrophils ; Pneumonia ; Severe acute respiratory syndrome coronavirus 2 ; Standard deviation ; Statistical analysis ; Survival analysis ; Variables</subject><ispartof>Journal of clinical medicine, 2022-04, Vol.11 (8), p.2235</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-d5a004a061d3022a9b5515f72b388f9cb966598ec28ec0cfebf87139b094a3f73</citedby><cites>FETCH-LOGICAL-c409t-d5a004a061d3022a9b5515f72b388f9cb966598ec28ec0cfebf87139b094a3f73</cites><orcidid>0000-0002-3606-3404 ; 0000-0003-2944-2729 ; 0000-0002-5267-3616 ; 0000-0001-9280-9621 ; 0000-0002-1285-8464 ; 0000-0002-6162-7275</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027549/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027549/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35456328$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Regolo, Matteo</creatorcontrib><creatorcontrib>Vaccaro, Mauro</creatorcontrib><creatorcontrib>Sorce, Alessandra</creatorcontrib><creatorcontrib>Stancanelli, Benedetta</creatorcontrib><creatorcontrib>Colaci, Michele</creatorcontrib><creatorcontrib>Natoli, Giuseppe</creatorcontrib><creatorcontrib>Russo, Mario</creatorcontrib><creatorcontrib>Alessandria, Innocenza</creatorcontrib><creatorcontrib>Motta, Massimo</creatorcontrib><creatorcontrib>Santangelo, Nicola</creatorcontrib><creatorcontrib>Fiorito, Letizia</creatorcontrib><creatorcontrib>Giarrusso, Ornella</creatorcontrib><creatorcontrib>Giangreco, Federica</creatorcontrib><creatorcontrib>Arena, Andrea</creatorcontrib><creatorcontrib>Noto, Paola</creatorcontrib><creatorcontrib>Ciampi, Claudio</creatorcontrib><creatorcontrib>Carpinteri, Giuseppe</creatorcontrib><creatorcontrib>Malatino, Lorenzo</creatorcontrib><title>Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission.</description><subject>Biomarkers</subject><subject>Chronic illnesses</subject><subject>Clinical medicine</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Inflammation</subject><subject>Intensive care</subject><subject>Lymphocytes</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Neutrophils</subject><subject>Pneumonia</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Standard deviation</subject><subject>Statistical analysis</subject><subject>Survival analysis</subject><subject>Variables</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkd9rFDEQxxdRbKl98l0CvlRkdZJsNsmLUM5fB2dbivU1ZLPZXo7d5JpkC_fuH26O1nIaGDIwn_nODN-qeo3hA6USPm7MhDEIQih7Vh0T4LwGKujzg_yoOk1pA-UJ0RDMX1ZHlDWspUQcV78v7Jxj2K7dWOdQr3bTdh3MLlt0rbML6Oxidf0OLRPS6CqGySXnb0tme2dyiCgM6EeIWY8u75D2PTrvC5Nc8CgHtPTZ-uTuLVroaNGNd3nfsbj8tfxcY4muygjrc3pVvRj0mOzp439S3Xz98nPxvV5dflsuzle1aUDmumcaoNHQ4p4CIVp2jGE2cNJRIQZpOtm2TAprSAkwg-0GwTGVHchG04HTk-rTg-527ibbmzI76lFto5t03Kmgnfq34t1a3YZ7JYFw1sgicPYoEMPdbFNW5Vpjx1F7G-akSMsaIhi0UNC3_6GbMEdfzttTRHLeACvU-wfKxJBStMPTMhjU3mB1YHCh3xzu_8T-tZP-AVAmoIw</recordid><startdate>20220416</startdate><enddate>20220416</enddate><creator>Regolo, Matteo</creator><creator>Vaccaro, Mauro</creator><creator>Sorce, Alessandra</creator><creator>Stancanelli, Benedetta</creator><creator>Colaci, Michele</creator><creator>Natoli, Giuseppe</creator><creator>Russo, Mario</creator><creator>Alessandria, Innocenza</creator><creator>Motta, Massimo</creator><creator>Santangelo, Nicola</creator><creator>Fiorito, Letizia</creator><creator>Giarrusso, Ornella</creator><creator>Giangreco, Federica</creator><creator>Arena, Andrea</creator><creator>Noto, Paola</creator><creator>Ciampi, Claudio</creator><creator>Carpinteri, Giuseppe</creator><creator>Malatino, Lorenzo</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3606-3404</orcidid><orcidid>https://orcid.org/0000-0003-2944-2729</orcidid><orcidid>https://orcid.org/0000-0002-5267-3616</orcidid><orcidid>https://orcid.org/0000-0001-9280-9621</orcidid><orcidid>https://orcid.org/0000-0002-1285-8464</orcidid><orcidid>https://orcid.org/0000-0002-6162-7275</orcidid></search><sort><creationdate>20220416</creationdate><title>Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients</title><author>Regolo, Matteo ; Vaccaro, Mauro ; Sorce, Alessandra ; Stancanelli, Benedetta ; Colaci, Michele ; Natoli, Giuseppe ; Russo, Mario ; Alessandria, Innocenza ; Motta, Massimo ; Santangelo, Nicola ; Fiorito, Letizia ; Giarrusso, Ornella ; Giangreco, Federica ; Arena, Andrea ; Noto, Paola ; Ciampi, Claudio ; Carpinteri, Giuseppe ; Malatino, Lorenzo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-d5a004a061d3022a9b5515f72b388f9cb966598ec28ec0cfebf87139b094a3f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biomarkers</topic><topic>Chronic illnesses</topic><topic>Clinical medicine</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Inflammation</topic><topic>Intensive care</topic><topic>Lymphocytes</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Neutrophils</topic><topic>Pneumonia</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Standard deviation</topic><topic>Statistical analysis</topic><topic>Survival analysis</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Regolo, Matteo</creatorcontrib><creatorcontrib>Vaccaro, Mauro</creatorcontrib><creatorcontrib>Sorce, Alessandra</creatorcontrib><creatorcontrib>Stancanelli, Benedetta</creatorcontrib><creatorcontrib>Colaci, Michele</creatorcontrib><creatorcontrib>Natoli, Giuseppe</creatorcontrib><creatorcontrib>Russo, Mario</creatorcontrib><creatorcontrib>Alessandria, Innocenza</creatorcontrib><creatorcontrib>Motta, Massimo</creatorcontrib><creatorcontrib>Santangelo, Nicola</creatorcontrib><creatorcontrib>Fiorito, Letizia</creatorcontrib><creatorcontrib>Giarrusso, Ornella</creatorcontrib><creatorcontrib>Giangreco, Federica</creatorcontrib><creatorcontrib>Arena, Andrea</creatorcontrib><creatorcontrib>Noto, Paola</creatorcontrib><creatorcontrib>Ciampi, Claudio</creatorcontrib><creatorcontrib>Carpinteri, Giuseppe</creatorcontrib><creatorcontrib>Malatino, Lorenzo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Regolo, Matteo</au><au>Vaccaro, Mauro</au><au>Sorce, Alessandra</au><au>Stancanelli, Benedetta</au><au>Colaci, Michele</au><au>Natoli, Giuseppe</au><au>Russo, Mario</au><au>Alessandria, Innocenza</au><au>Motta, Massimo</au><au>Santangelo, Nicola</au><au>Fiorito, Letizia</au><au>Giarrusso, Ornella</au><au>Giangreco, Federica</au><au>Arena, Andrea</au><au>Noto, Paola</au><au>Ciampi, Claudio</au><au>Carpinteri, Giuseppe</au><au>Malatino, Lorenzo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2022-04-16</date><risdate>2022</risdate><volume>11</volume><issue>8</issue><spage>2235</spage><pages>2235-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35456328</pmid><doi>10.3390/jcm11082235</doi><orcidid>https://orcid.org/0000-0002-3606-3404</orcidid><orcidid>https://orcid.org/0000-0003-2944-2729</orcidid><orcidid>https://orcid.org/0000-0002-5267-3616</orcidid><orcidid>https://orcid.org/0000-0001-9280-9621</orcidid><orcidid>https://orcid.org/0000-0002-1285-8464</orcidid><orcidid>https://orcid.org/0000-0002-6162-7275</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2077-0383 |
ispartof | Journal of clinical medicine, 2022-04, Vol.11 (8), p.2235 |
issn | 2077-0383 2077-0383 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9027549 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central |
subjects | Biomarkers Chronic illnesses Clinical medicine Coronaviruses COVID-19 Disease Hospitalization Hospitals Inflammation Intensive care Lymphocytes Medical prognosis Mortality Neutrophils Pneumonia Severe acute respiratory syndrome coronavirus 2 Standard deviation Statistical analysis Survival analysis Variables |
title | Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T09%3A46%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Neutrophil-to-Lymphocyte%20Ratio%20(NLR)%20Is%20a%20Promising%20Predictor%20of%20Mortality%20and%20Admission%20to%20Intensive%20Care%20Unit%20of%20COVID-19%20Patients&rft.jtitle=Journal%20of%20clinical%20medicine&rft.au=Regolo,%20Matteo&rft.date=2022-04-16&rft.volume=11&rft.issue=8&rft.spage=2235&rft.pages=2235-&rft.issn=2077-0383&rft.eissn=2077-0383&rft_id=info:doi/10.3390/jcm11082235&rft_dat=%3Cproquest_pubme%3E2652977405%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2652977405&rft_id=info:pmid/35456328&rfr_iscdi=true |