The delta neutrophil index is a prognostic factor for postoperative mortality in patients with sepsis caused by peritonitis
The delta neutrophil index (DNI) represents the fraction of circulating immature granulocytes and is a marker of infection and sepsis. Our objective was to evaluate the usefulness of DNI for predicting in-hospital mortality within 30 days after surgery in patients with sepsis caused by peritonitis b...
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| creator | Kim, Jong Wan Park, Jun Ho Kim, Doo Jin Choi, Won Hyuk Cheong, Jin Cheol Kim, Jeong Yeon |
| description | The delta neutrophil index (DNI) represents the fraction of circulating immature granulocytes and is a marker of infection and sepsis. Our objective was to evaluate the usefulness of DNI for predicting in-hospital mortality within 30 days after surgery in patients with sepsis caused by peritonitis by means of comparing DNI, white blood cell (WBC) count, neutrophil percentage, and C-reactive protein (CRP) before and after surgery.
We performed a retrospective analysis of demographic, clinical, and laboratory data. DNI, WBC count, neutrophil percentage, and CRP were measured before surgery, and at 12-36 h (day 1) and 60-84 h (day 3) after surgery.
There were 116 (73.7%) survivors and 44 (26.3%) non-survivors. The rates of septic shock, norepinephrine administration, renal replacement, mechanical ventilator therapy, and reoperation, the Simplified Acute Physiology Score-3 (SAPS3), and the Sepsis-related Organ Failure Assessment (SOFA) score were greater in non-survivors. DNI on day 3 was better than the other laboratory variables for predicting mortality. DNI was correlated with the SAPS3 (r = .46, p = .00) and SOFA score (r = .45, p = .00). The optimal cut-off DNI for predicting mortality was 7.8% (sensitivity: 77.3%; specificity: 95.9%). In receiver-operating characteristic curve analysis, DNI on day 3 was the best indicator of mortality (area under the curve: .880; 95% confidence interval: .80-.96).
Our results indicate that DNI is better than other laboratory variables for predicting postoperative mortality in patients with sepsis caused by peritonitis. DNI > 7.8% on day 3 was a reliable predictor of postoperative mortality. |
| doi_str_mv | 10.1371/journal.pone.0182325 |
| format | Article |
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We performed a retrospective analysis of demographic, clinical, and laboratory data. DNI, WBC count, neutrophil percentage, and CRP were measured before surgery, and at 12-36 h (day 1) and 60-84 h (day 3) after surgery.
There were 116 (73.7%) survivors and 44 (26.3%) non-survivors. The rates of septic shock, norepinephrine administration, renal replacement, mechanical ventilator therapy, and reoperation, the Simplified Acute Physiology Score-3 (SAPS3), and the Sepsis-related Organ Failure Assessment (SOFA) score were greater in non-survivors. DNI on day 3 was better than the other laboratory variables for predicting mortality. DNI was correlated with the SAPS3 (r = .46, p = .00) and SOFA score (r = .45, p = .00). The optimal cut-off DNI for predicting mortality was 7.8% (sensitivity: 77.3%; specificity: 95.9%). In receiver-operating characteristic curve analysis, DNI on day 3 was the best indicator of mortality (area under the curve: .880; 95% confidence interval: .80-.96).
Our results indicate that DNI is better than other laboratory variables for predicting postoperative mortality in patients with sepsis caused by peritonitis. DNI > 7.8% on day 3 was a reliable predictor of postoperative mortality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0182325</identifier><identifier>PMID: 28763506</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aged, 80 and over ; Analysis ; Biology and Life Sciences ; Biomarkers ; Blood ; Blood cells ; C-reactive protein ; C-Reactive Protein - analysis ; Classification ; Critical care ; Demographics ; Female ; Granulocytes ; Granulocytes - cytology ; Humans ; Infections ; Intensive care ; Kidney transplantation ; Kidneys ; Leukocytes (granulocytic) ; Male ; Medical prognosis ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Neutrophils ; Neutrophils - cytology ; Norepinephrine ; Patients ; People and Places ; Peritonitis ; Peritonitis - blood ; Peritonitis - complications ; Peritonitis - mortality ; Physiology ; Postoperative Complications - mortality ; Prognosis ; Regression Analysis ; Retrospective Studies ; ROC Curve ; Sensitivity analysis ; Sensitivity and Specificity ; Sepsis ; Sepsis - blood ; Sepsis - etiology ; Sepsis - mortality ; Septic shock ; Severity of Illness Index ; Shock, Septic ; Studies ; Surgery ; Time Factors ; Treatment Outcome</subject><ispartof>PloS one, 2017-08, Vol.12 (8), p.e0182325-e0182325</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Kim et al 2017 Kim et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-dd42d2d46ec4d578453fc3a386686b197af11a87168f4992b01d9c4451b027a33</citedby><cites>FETCH-LOGICAL-c692t-dd42d2d46ec4d578453fc3a386686b197af11a87168f4992b01d9c4451b027a33</cites><orcidid>0000-0003-3411-8974</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/PMC5538749/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538749/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23849,27907,27908,53774,53776,79351,79352</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28763506$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Brakenridge, Scott</contributor><creatorcontrib>Kim, Jong Wan</creatorcontrib><creatorcontrib>Park, Jun Ho</creatorcontrib><creatorcontrib>Kim, Doo Jin</creatorcontrib><creatorcontrib>Choi, Won Hyuk</creatorcontrib><creatorcontrib>Cheong, Jin Cheol</creatorcontrib><creatorcontrib>Kim, Jeong Yeon</creatorcontrib><title>The delta neutrophil index is a prognostic factor for postoperative mortality in patients with sepsis caused by peritonitis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The delta neutrophil index (DNI) represents the fraction of circulating immature granulocytes and is a marker of infection and sepsis. Our objective was to evaluate the usefulness of DNI for predicting in-hospital mortality within 30 days after surgery in patients with sepsis caused by peritonitis by means of comparing DNI, white blood cell (WBC) count, neutrophil percentage, and C-reactive protein (CRP) before and after surgery.
We performed a retrospective analysis of demographic, clinical, and laboratory data. DNI, WBC count, neutrophil percentage, and CRP were measured before surgery, and at 12-36 h (day 1) and 60-84 h (day 3) after surgery.
There were 116 (73.7%) survivors and 44 (26.3%) non-survivors. The rates of septic shock, norepinephrine administration, renal replacement, mechanical ventilator therapy, and reoperation, the Simplified Acute Physiology Score-3 (SAPS3), and the Sepsis-related Organ Failure Assessment (SOFA) score were greater in non-survivors. DNI on day 3 was better than the other laboratory variables for predicting mortality. DNI was correlated with the SAPS3 (r = .46, p = .00) and SOFA score (r = .45, p = .00). The optimal cut-off DNI for predicting mortality was 7.8% (sensitivity: 77.3%; specificity: 95.9%). In receiver-operating characteristic curve analysis, DNI on day 3 was the best indicator of mortality (area under the curve: .880; 95% confidence interval: .80-.96).
Our results indicate that DNI is better than other laboratory variables for predicting postoperative mortality in patients with sepsis caused by peritonitis. DNI > 7.8% on day 3 was a reliable predictor of postoperative mortality.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Blood cells</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - analysis</subject><subject>Classification</subject><subject>Critical care</subject><subject>Demographics</subject><subject>Female</subject><subject>Granulocytes</subject><subject>Granulocytes - cytology</subject><subject>Humans</subject><subject>Infections</subject><subject>Intensive care</subject><subject>Kidney transplantation</subject><subject>Kidneys</subject><subject>Leukocytes (granulocytic)</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Neutrophils</subject><subject>Neutrophils - cytology</subject><subject>Norepinephrine</subject><subject>Patients</subject><subject>People and Places</subject><subject>Peritonitis</subject><subject>Peritonitis - blood</subject><subject>Peritonitis - complications</subject><subject>Peritonitis - mortality</subject><subject>Physiology</subject><subject>Postoperative Complications - mortality</subject><subject>Prognosis</subject><subject>Regression Analysis</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sensitivity analysis</subject><subject>Sensitivity and Specificity</subject><subject>Sepsis</subject><subject>Sepsis - blood</subject><subject>Sepsis - etiology</subject><subject>Sepsis - mortality</subject><subject>Septic shock</subject><subject>Severity of Illness Index</subject><subject>Shock, Septic</subject><subject>Studies</subject><subject>Surgery</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7jr6D0QDgujFjE3Sr9wIy-LHwMKCrt6GNEnbDJmmm6TrDv55zzjdZSp7IaU0nD7ve3rO6UmSlzhdYVriDxs3-l7Y1eB6vUpxRSjJHyWnmFGyLEhKHx-dT5JnIWzSNKdVUTxNTkhVFjRPi9Pk91WnkdI2CtTrMXo3dMYi0yt9i0xAAg3etb0L0UjUCBmdRw3cA0TcoL2I5kajrfNRWBN3IEQDxHQfA_plYoeCHgL4SDEGrVC9QyAy0fUmmvA8edIIG_SL6blIfnz-dHX-dXlx-WV9fnaxlAUjcalURhRRWaFlpvKyynLaSCr2pVRFjVkpGoxFVeKiajLGSJ1ixWSW5bhOSSkoXSSvD76DdYFPfQscM5JjhnFVAbE-EMqJDR-82Qq_404Y_jfgfMuFhxZYzZUoSVkUWFBIUatMYJU3qmasUqrMmQavj1O2sd5qJaEXXtiZ6fxNbzreuhuew3TKjIHBu8nAu-tRh8i3Jkhtrei1Gw_fneOMwDQXyZt_0Ierm6hWQAGmbxzklXtTfgYNK9OUVhio1QMUXEpvjYSfrDEQnwnezwTARH0bWxh14Ovv3_6fvfw5Z98esZ0WNnbB2TEa14c5mB1A6V0IXjf3TcYp3-_IXTf4fkf4tCMge3U8oHvR3VLQP7xyDf0</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Kim, Jong Wan</creator><creator>Park, Jun Ho</creator><creator>Kim, Doo Jin</creator><creator>Choi, Won Hyuk</creator><creator>Cheong, Jin Cheol</creator><creator>Kim, Jeong Yeon</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3411-8974</orcidid></search><sort><creationdate>20170801</creationdate><title>The delta neutrophil index is a prognostic factor for postoperative mortality in patients with sepsis caused by peritonitis</title><author>Kim, Jong Wan ; Park, Jun Ho ; Kim, Doo Jin ; Choi, Won Hyuk ; Cheong, Jin Cheol ; Kim, Jeong Yeon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-dd42d2d46ec4d578453fc3a386686b197af11a87168f4992b01d9c4451b027a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood</topic><topic>Blood cells</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - analysis</topic><topic>Classification</topic><topic>Critical care</topic><topic>Demographics</topic><topic>Female</topic><topic>Granulocytes</topic><topic>Granulocytes - cytology</topic><topic>Humans</topic><topic>Infections</topic><topic>Intensive care</topic><topic>Kidney transplantation</topic><topic>Kidneys</topic><topic>Leukocytes (granulocytic)</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Neutrophils</topic><topic>Neutrophils - cytology</topic><topic>Norepinephrine</topic><topic>Patients</topic><topic>People and Places</topic><topic>Peritonitis</topic><topic>Peritonitis - blood</topic><topic>Peritonitis - complications</topic><topic>Peritonitis - mortality</topic><topic>Physiology</topic><topic>Postoperative Complications - mortality</topic><topic>Prognosis</topic><topic>Regression Analysis</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sensitivity analysis</topic><topic>Sensitivity and Specificity</topic><topic>Sepsis</topic><topic>Sepsis - blood</topic><topic>Sepsis - etiology</topic><topic>Sepsis - mortality</topic><topic>Septic shock</topic><topic>Severity of Illness Index</topic><topic>Shock, Septic</topic><topic>Studies</topic><topic>Surgery</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jong Wan</creatorcontrib><creatorcontrib>Park, Jun Ho</creatorcontrib><creatorcontrib>Kim, Doo Jin</creatorcontrib><creatorcontrib>Choi, Won Hyuk</creatorcontrib><creatorcontrib>Cheong, Jin Cheol</creatorcontrib><creatorcontrib>Kim, Jeong Yeon</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jong Wan</au><au>Park, Jun Ho</au><au>Kim, Doo Jin</au><au>Choi, Won Hyuk</au><au>Cheong, Jin Cheol</au><au>Kim, Jeong Yeon</au><au>Brakenridge, Scott</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The delta neutrophil index is a prognostic factor for postoperative mortality in patients with sepsis caused by peritonitis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>12</volume><issue>8</issue><spage>e0182325</spage><epage>e0182325</epage><pages>e0182325-e0182325</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The delta neutrophil index (DNI) represents the fraction of circulating immature granulocytes and is a marker of infection and sepsis. Our objective was to evaluate the usefulness of DNI for predicting in-hospital mortality within 30 days after surgery in patients with sepsis caused by peritonitis by means of comparing DNI, white blood cell (WBC) count, neutrophil percentage, and C-reactive protein (CRP) before and after surgery.
We performed a retrospective analysis of demographic, clinical, and laboratory data. DNI, WBC count, neutrophil percentage, and CRP were measured before surgery, and at 12-36 h (day 1) and 60-84 h (day 3) after surgery.
There were 116 (73.7%) survivors and 44 (26.3%) non-survivors. The rates of septic shock, norepinephrine administration, renal replacement, mechanical ventilator therapy, and reoperation, the Simplified Acute Physiology Score-3 (SAPS3), and the Sepsis-related Organ Failure Assessment (SOFA) score were greater in non-survivors. DNI on day 3 was better than the other laboratory variables for predicting mortality. DNI was correlated with the SAPS3 (r = .46, p = .00) and SOFA score (r = .45, p = .00). The optimal cut-off DNI for predicting mortality was 7.8% (sensitivity: 77.3%; specificity: 95.9%). In receiver-operating characteristic curve analysis, DNI on day 3 was the best indicator of mortality (area under the curve: .880; 95% confidence interval: .80-.96).
Our results indicate that DNI is better than other laboratory variables for predicting postoperative mortality in patients with sepsis caused by peritonitis. DNI > 7.8% on day 3 was a reliable predictor of postoperative mortality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28763506</pmid><doi>10.1371/journal.pone.0182325</doi><tpages>e0182325</tpages><orcidid>https://orcid.org/0000-0003-3411-8974</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | PloS one, 2017-08, Vol.12 (8), p.e0182325-e0182325 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1925191188 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Aged Aged, 80 and over Analysis Biology and Life Sciences Biomarkers Blood Blood cells C-reactive protein C-Reactive Protein - analysis Classification Critical care Demographics Female Granulocytes Granulocytes - cytology Humans Infections Intensive care Kidney transplantation Kidneys Leukocytes (granulocytic) Male Medical prognosis Medicine Medicine and Health Sciences Middle Aged Mortality Neutrophils Neutrophils - cytology Norepinephrine Patients People and Places Peritonitis Peritonitis - blood Peritonitis - complications Peritonitis - mortality Physiology Postoperative Complications - mortality Prognosis Regression Analysis Retrospective Studies ROC Curve Sensitivity analysis Sensitivity and Specificity Sepsis Sepsis - blood Sepsis - etiology Sepsis - mortality Septic shock Severity of Illness Index Shock, Septic Studies Surgery Time Factors Treatment Outcome |
| title | The delta neutrophil index is a prognostic factor for postoperative mortality in patients with sepsis caused by peritonitis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T15%3A47%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20delta%20neutrophil%20index%20is%20a%20prognostic%20factor%20for%20postoperative%20mortality%20in%20patients%20with%20sepsis%20caused%20by%20peritonitis&rft.jtitle=PloS%20one&rft.au=Kim,%20Jong%20Wan&rft.date=2017-08-01&rft.volume=12&rft.issue=8&rft.spage=e0182325&rft.epage=e0182325&rft.pages=e0182325-e0182325&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0182325&rft_dat=%3Cgale_plos_%3EA499700381%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1925191188&rft_id=info:pmid/28763506&rft_galeid=A499700381&rft_doaj_id=oai_doaj_org_article_da727661a3c44bd4a1d5fdb998dd759e&rfr_iscdi=true |