Do initial hematologic indices predict the severity of COVID-19 patients?
In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices. Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PL...
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| Veröffentlicht in: | TURKISH JOURNAL OF MEDICAL SCIENCES 2021-02, Vol.51 (1), p.39-44 |
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| container_title | TURKISH JOURNAL OF MEDICAL SCIENCES |
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| creator | Asan, Ali Üstündağ, Yasemin Koca, Nizameddin Şimşek, Abdullah Sayan, Halil Erkan Parildar, Hülya Dalyan Cilo, Burcu Huysal, Kağan |
| description | In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices.
Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups.
The proportion of COVID-19 cases admitted to the ICU was 3.9%. The median age of patients admitted to the ICU was significantly higher than those who were not; [68.5 (interquartile range (IQR); 21.5] years vs. 41.0 (IQR; 15.7) years; P < 0.001.
Severe cases had higher NLR (6.6 vs. 2.4; P < 0.001), and MLR (0.40 vs. 0.28; P = 0.004) and lower PLR (180.0 vs. 129.0; P < 0.001) compared to that of mild or moderate patients. Among all of the parameters, the ROC curve of NLR gave us the best ability to distinguish serious patients at an early stage (AUC = 0. 819, 95% confidence interval 0.729–0.910; P < 0.001).
These data showed that age, initial NLR, PLR, and LYM × PLT were associated with the severity of COVID-19 disease and patients’ need for the ICU. Therefore, initial hemogram parameters may be essential to predict the prognosis of COVID-19 patients. |
| doi_str_mv | 10.3906/sag-2007-97 |
| format | Article |
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Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups.
The proportion of COVID-19 cases admitted to the ICU was 3.9%. The median age of patients admitted to the ICU was significantly higher than those who were not; [68.5 (interquartile range (IQR); 21.5] years vs. 41.0 (IQR; 15.7) years; P < 0.001.
Severe cases had higher NLR (6.6 vs. 2.4; P < 0.001), and MLR (0.40 vs. 0.28; P = 0.004) and lower PLR (180.0 vs. 129.0; P < 0.001) compared to that of mild or moderate patients. Among all of the parameters, the ROC curve of NLR gave us the best ability to distinguish serious patients at an early stage (AUC = 0. 819, 95% confidence interval 0.729–0.910; P < 0.001).
These data showed that age, initial NLR, PLR, and LYM × PLT were associated with the severity of COVID-19 disease and patients’ need for the ICU. Therefore, initial hemogram parameters may be essential to predict the prognosis of COVID-19 patients.</description><identifier>ISSN: 1303-6165</identifier><identifier>ISSN: 1300-0144</identifier><identifier>EISSN: 1303-6165</identifier><identifier>DOI: 10.3906/sag-2007-97</identifier><identifier>PMID: 33003692</identifier><language>eng</language><publisher>Turkey: The Scientific and Technological Research Council of Turkey</publisher><subject>Adult ; Age Factors ; Aged ; COVID-19 - blood ; COVID-19 - diagnosis ; Disease Progression ; Female ; Humans ; Intensive Care Units - statistics & numerical data ; Lymphocyte Count ; Male ; Mean Platelet Volume ; Middle Aged ; Neutrophils ; Platelet Count ; Retrospective Studies ; Severity of Illness Index</subject><ispartof>TURKISH JOURNAL OF MEDICAL SCIENCES, 2021-02, Vol.51 (1), p.39-44</ispartof><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><rights>Copyright © 2021 The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-16b0b009e2797f58b33361f7d41c2e152b1e07041f5192dad208684fd27f93703</citedby><orcidid>0000-0003-2415-0372 ; 0000-0003-1457-4366 ; 0000-0003-0588-3888 ; 0000-0002-4921-6588 ; 0000-0002-8856-7356 ; 0000-0002-6158-9360 ; 0000-0003-3142-5944 ; 0000-0003-3943-5549</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/PMC7991886/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991886/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33003692$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Asan, Ali</creatorcontrib><creatorcontrib>Üstündağ, Yasemin</creatorcontrib><creatorcontrib>Koca, Nizameddin</creatorcontrib><creatorcontrib>Şimşek, Abdullah</creatorcontrib><creatorcontrib>Sayan, Halil Erkan</creatorcontrib><creatorcontrib>Parildar, Hülya</creatorcontrib><creatorcontrib>Dalyan Cilo, Burcu</creatorcontrib><creatorcontrib>Huysal, Kağan</creatorcontrib><title>Do initial hematologic indices predict the severity of COVID-19 patients?</title><title>TURKISH JOURNAL OF MEDICAL SCIENCES</title><addtitle>Turk J Med Sci</addtitle><description>In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices.
Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups.
The proportion of COVID-19 cases admitted to the ICU was 3.9%. The median age of patients admitted to the ICU was significantly higher than those who were not; [68.5 (interquartile range (IQR); 21.5] years vs. 41.0 (IQR; 15.7) years; P < 0.001.
Severe cases had higher NLR (6.6 vs. 2.4; P < 0.001), and MLR (0.40 vs. 0.28; P = 0.004) and lower PLR (180.0 vs. 129.0; P < 0.001) compared to that of mild or moderate patients. Among all of the parameters, the ROC curve of NLR gave us the best ability to distinguish serious patients at an early stage (AUC = 0. 819, 95% confidence interval 0.729–0.910; P < 0.001).
These data showed that age, initial NLR, PLR, and LYM × PLT were associated with the severity of COVID-19 disease and patients’ need for the ICU. Therefore, initial hemogram parameters may be essential to predict the prognosis of COVID-19 patients.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>COVID-19 - blood</subject><subject>COVID-19 - diagnosis</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Humans</subject><subject>Intensive Care Units - statistics & numerical data</subject><subject>Lymphocyte Count</subject><subject>Male</subject><subject>Mean Platelet Volume</subject><subject>Middle Aged</subject><subject>Neutrophils</subject><subject>Platelet Count</subject><subject>Retrospective Studies</subject><subject>Severity of Illness Index</subject><issn>1303-6165</issn><issn>1300-0144</issn><issn>1303-6165</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkM1LAzEQxYMotlZP3iV3iU6S3WRzUaT1o1DoRb2G7G7SRrbNsomF_vduqZZ6msfMm_fgh9A1hTuuQNxHsyAMQBIlT9CQcuBEUJGfHukBuojxC4DxLFfnaMA5ABeKDdF0ErBf--RNg5d2ZVJowsJX_a72lY247WwvEk5Li6Pd2M6nLQ4Oj-ef0wmhCrcmebtO8fESnTnTRHv1O0fo4-X5ffxGZvPX6fhpRipe0ESoKKEEUJZJJV1elJxzQZ2sM1oxS3NWUgsSMupyqlhtagaFKDJXM-kUl8BH6GGf236XK1tXfXlnGt12fmW6rQ7G6_-XtV_qRdhoqRQtCtEH3O4Dqi7E2Fl3-KWgd0R1T1TviGole_fNcd3B-4eQ_wDFlHEw</recordid><startdate>20210226</startdate><enddate>20210226</enddate><creator>Asan, Ali</creator><creator>Üstündağ, Yasemin</creator><creator>Koca, Nizameddin</creator><creator>Şimşek, Abdullah</creator><creator>Sayan, Halil Erkan</creator><creator>Parildar, Hülya</creator><creator>Dalyan Cilo, Burcu</creator><creator>Huysal, Kağan</creator><general>The Scientific and Technological Research Council of Turkey</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2415-0372</orcidid><orcidid>https://orcid.org/0000-0003-1457-4366</orcidid><orcidid>https://orcid.org/0000-0003-0588-3888</orcidid><orcidid>https://orcid.org/0000-0002-4921-6588</orcidid><orcidid>https://orcid.org/0000-0002-8856-7356</orcidid><orcidid>https://orcid.org/0000-0002-6158-9360</orcidid><orcidid>https://orcid.org/0000-0003-3142-5944</orcidid><orcidid>https://orcid.org/0000-0003-3943-5549</orcidid></search><sort><creationdate>20210226</creationdate><title>Do initial hematologic indices predict the severity of COVID-19 patients?</title><author>Asan, Ali ; Üstündağ, Yasemin ; Koca, Nizameddin ; Şimşek, Abdullah ; Sayan, Halil Erkan ; Parildar, Hülya ; Dalyan Cilo, Burcu ; Huysal, Kağan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-16b0b009e2797f58b33361f7d41c2e152b1e07041f5192dad208684fd27f93703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>COVID-19 - blood</topic><topic>COVID-19 - diagnosis</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Humans</topic><topic>Intensive Care Units - statistics & numerical data</topic><topic>Lymphocyte Count</topic><topic>Male</topic><topic>Mean Platelet Volume</topic><topic>Middle Aged</topic><topic>Neutrophils</topic><topic>Platelet Count</topic><topic>Retrospective Studies</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Asan, Ali</creatorcontrib><creatorcontrib>Üstündağ, Yasemin</creatorcontrib><creatorcontrib>Koca, Nizameddin</creatorcontrib><creatorcontrib>Şimşek, Abdullah</creatorcontrib><creatorcontrib>Sayan, Halil Erkan</creatorcontrib><creatorcontrib>Parildar, Hülya</creatorcontrib><creatorcontrib>Dalyan Cilo, Burcu</creatorcontrib><creatorcontrib>Huysal, Kağan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>TURKISH JOURNAL OF MEDICAL SCIENCES</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Asan, Ali</au><au>Üstündağ, Yasemin</au><au>Koca, Nizameddin</au><au>Şimşek, Abdullah</au><au>Sayan, Halil Erkan</au><au>Parildar, Hülya</au><au>Dalyan Cilo, Burcu</au><au>Huysal, Kağan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do initial hematologic indices predict the severity of COVID-19 patients?</atitle><jtitle>TURKISH JOURNAL OF MEDICAL SCIENCES</jtitle><addtitle>Turk J Med Sci</addtitle><date>2021-02-26</date><risdate>2021</risdate><volume>51</volume><issue>1</issue><spage>39</spage><epage>44</epage><pages>39-44</pages><issn>1303-6165</issn><issn>1300-0144</issn><eissn>1303-6165</eissn><abstract>In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices.
Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups.
The proportion of COVID-19 cases admitted to the ICU was 3.9%. The median age of patients admitted to the ICU was significantly higher than those who were not; [68.5 (interquartile range (IQR); 21.5] years vs. 41.0 (IQR; 15.7) years; P < 0.001.
Severe cases had higher NLR (6.6 vs. 2.4; P < 0.001), and MLR (0.40 vs. 0.28; P = 0.004) and lower PLR (180.0 vs. 129.0; P < 0.001) compared to that of mild or moderate patients. Among all of the parameters, the ROC curve of NLR gave us the best ability to distinguish serious patients at an early stage (AUC = 0. 819, 95% confidence interval 0.729–0.910; P < 0.001).
These data showed that age, initial NLR, PLR, and LYM × PLT were associated with the severity of COVID-19 disease and patients’ need for the ICU. Therefore, initial hemogram parameters may be essential to predict the prognosis of COVID-19 patients.</abstract><cop>Turkey</cop><pub>The Scientific and Technological Research Council of Turkey</pub><pmid>33003692</pmid><doi>10.3906/sag-2007-97</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-2415-0372</orcidid><orcidid>https://orcid.org/0000-0003-1457-4366</orcidid><orcidid>https://orcid.org/0000-0003-0588-3888</orcidid><orcidid>https://orcid.org/0000-0002-4921-6588</orcidid><orcidid>https://orcid.org/0000-0002-8856-7356</orcidid><orcidid>https://orcid.org/0000-0002-6158-9360</orcidid><orcidid>https://orcid.org/0000-0003-3142-5944</orcidid><orcidid>https://orcid.org/0000-0003-3943-5549</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; PubMed Central Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; TÜBİTAK Scientific Journals |
| subjects | Adult Age Factors Aged COVID-19 - blood COVID-19 - diagnosis Disease Progression Female Humans Intensive Care Units - statistics & numerical data Lymphocyte Count Male Mean Platelet Volume Middle Aged Neutrophils Platelet Count Retrospective Studies Severity of Illness Index |
| title | Do initial hematologic indices predict the severity of COVID-19 patients? |
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