Platelet Distribution Width at First Day of Hospital Admission in Patients with Hemorrhagic Fever with Renal Syndrome Caused by Hantaan Virus May Predict Disease Severity and Critical Patients’ Survival
Thrombocytopenia is one of the main characteristics of hemorrhagic fever with renal syndrome (HFRS). This study aimed to evaluate the associations of platelet distribution width (PDW) with the disease severity and critical patients’ survival of HFRS. The demographics, clinical data, and white blood...
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description | Thrombocytopenia is one of the main characteristics of hemorrhagic fever with renal syndrome (HFRS). This study aimed to evaluate the associations of platelet distribution width (PDW) with the disease severity and critical patients’ survival of HFRS. The demographics, clinical data, and white blood cell and platelet parameters including PDW in 260 patients hospitalized for HFRS were analyzed. The results showed that PDW on the first day (PDW1) was positively associated with the disease severity (p=0.005). Multiple regression analysis showed that in addition to age (odds ratio [OR], 1.091; 95% confidence interval [CI], 1.015–1.172) and occurrence of sepsis (OR, 22.283; 95% CI, 2.985–166.325), PDW1 (OR, 0.782; 95% CI, 0.617–0.992) was a risk factor of the mortality, having an area under the receiver operating characteristic curve of 0.709 (95% CI, 0.572–0.846, p=0.013) for predicting mortality, with a sensitivity of 70% and a specificity of 67% at a cutoff of 16.5 fL, in patients with critical HFRS. These results suggest the potential of PDW at the first day of hospitalization as a valuable parameter for evaluating the severity of HFRS and a moderate parameter for predicting the prognosis of critical HFRS patients. A prospective study in large patient population is needed to validate these findings. |
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This study aimed to evaluate the associations of platelet distribution width (PDW) with the disease severity and critical patients’ survival of HFRS. The demographics, clinical data, and white blood cell and platelet parameters including PDW in 260 patients hospitalized for HFRS were analyzed. The results showed that PDW on the first day (PDW1) was positively associated with the disease severity (p=0.005). Multiple regression analysis showed that in addition to age (odds ratio [OR], 1.091; 95% confidence interval [CI], 1.015–1.172) and occurrence of sepsis (OR, 22.283; 95% CI, 2.985–166.325), PDW1 (OR, 0.782; 95% CI, 0.617–0.992) was a risk factor of the mortality, having an area under the receiver operating characteristic curve of 0.709 (95% CI, 0.572–0.846, p=0.013) for predicting mortality, with a sensitivity of 70% and a specificity of 67% at a cutoff of 16.5 fL, in patients with critical HFRS. These results suggest the potential of PDW at the first day of hospitalization as a valuable parameter for evaluating the severity of HFRS and a moderate parameter for predicting the prognosis of critical HFRS patients. A prospective study in large patient population is needed to validate these findings.</description><identifier>ISSN: 0278-0240</identifier><identifier>EISSN: 1875-8630</identifier><identifier>DOI: 10.1155/2018/9701619</identifier><identifier>PMID: 30018676</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Admission and discharge ; Analysis ; Blood platelets ; Blood transfusions ; Cardiovascular disease ; Confidence intervals ; Consortia ; Demographics ; Demography ; Fever ; Hemorrhage ; Hemorrhagic fever ; Hemorrhagic fever with renal syndrome ; Hepatology ; Hospital patients ; Hospitals ; Infection ; Infections ; Laboratories ; Leukocytes ; Medical prognosis ; Medical research ; Medicine, Experimental ; Mortality ; Multiple organ dysfunction syndrome ; Multiple regression analysis ; Parameters ; Patient outcomes ; Patients ; Permeability ; Platelets ; Population studies ; Prognosis ; Risk factors ; Sepsis ; Software ; Statistical analysis ; Survival ; Thrombocytopenia ; Thrombosis ; Trauma ; Viruses</subject><ispartof>Disease markers, 2018-01, Vol.2018 (2018), p.1-8</ispartof><rights>Copyright © 2018 Xiude Fan et al.</rights><rights>COPYRIGHT 2018 John Wiley & Sons, Inc.</rights><rights>Copyright © 2018 Xiude Fan et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2018 Xiude Fan et al. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-696ba770cdcb7bcc11dbfc2c75f1d2ad419e22bdcc56004ab1a120fc2ef8cb63</citedby><cites>FETCH-LOGICAL-c499t-696ba770cdcb7bcc11dbfc2c75f1d2ad419e22bdcc56004ab1a120fc2ef8cb63</cites><orcidid>0000-0002-3965-4947</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/PMC6029476/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029476/$$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/30018676$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Scholze, Alexandra</contributor><contributor>Alexandra Scholze</contributor><creatorcontrib>Liu, Zhengwen</creatorcontrib><creatorcontrib>Han, Qunying</creatorcontrib><creatorcontrib>Zhang, Xiaoge</creatorcontrib><creatorcontrib>Li, Fang</creatorcontrib><creatorcontrib>Deng, Huan</creatorcontrib><creatorcontrib>Sang, Jiao</creatorcontrib><creatorcontrib>Fu, Shiqi</creatorcontrib><creatorcontrib>Liu, Zitong</creatorcontrib><creatorcontrib>Fan, Xiude</creatorcontrib><creatorcontrib>Li, Na</creatorcontrib><title>Platelet Distribution Width at First Day of Hospital Admission in Patients with Hemorrhagic Fever with Renal Syndrome Caused by Hantaan Virus May Predict Disease Severity and Critical Patients’ Survival</title><title>Disease markers</title><addtitle>Dis Markers</addtitle><description>Thrombocytopenia is one of the main characteristics of hemorrhagic fever with renal syndrome (HFRS). This study aimed to evaluate the associations of platelet distribution width (PDW) with the disease severity and critical patients’ survival of HFRS. The demographics, clinical data, and white blood cell and platelet parameters including PDW in 260 patients hospitalized for HFRS were analyzed. The results showed that PDW on the first day (PDW1) was positively associated with the disease severity (p=0.005). Multiple regression analysis showed that in addition to age (odds ratio [OR], 1.091; 95% confidence interval [CI], 1.015–1.172) and occurrence of sepsis (OR, 22.283; 95% CI, 2.985–166.325), PDW1 (OR, 0.782; 95% CI, 0.617–0.992) was a risk factor of the mortality, having an area under the receiver operating characteristic curve of 0.709 (95% CI, 0.572–0.846, p=0.013) for predicting mortality, with a sensitivity of 70% and a specificity of 67% at a cutoff of 16.5 fL, in patients with critical HFRS. These results suggest the potential of PDW at the first day of hospitalization as a valuable parameter for evaluating the severity of HFRS and a moderate parameter for predicting the prognosis of critical HFRS patients. A prospective study in large patient population is needed to validate these findings.</description><subject>Admission and discharge</subject><subject>Analysis</subject><subject>Blood platelets</subject><subject>Blood transfusions</subject><subject>Cardiovascular disease</subject><subject>Confidence intervals</subject><subject>Consortia</subject><subject>Demographics</subject><subject>Demography</subject><subject>Fever</subject><subject>Hemorrhage</subject><subject>Hemorrhagic fever</subject><subject>Hemorrhagic fever with renal syndrome</subject><subject>Hepatology</subject><subject>Hospital patients</subject><subject>Hospitals</subject><subject>Infection</subject><subject>Infections</subject><subject>Laboratories</subject><subject>Leukocytes</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Mortality</subject><subject>Multiple organ dysfunction syndrome</subject><subject>Multiple regression analysis</subject><subject>Parameters</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Permeability</subject><subject>Platelets</subject><subject>Population studies</subject><subject>Prognosis</subject><subject>Risk factors</subject><subject>Sepsis</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Survival</subject><subject>Thrombocytopenia</subject><subject>Thrombosis</subject><subject>Trauma</subject><subject>Viruses</subject><issn>0278-0240</issn><issn>1875-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNqNks9uEzEQxlcIREPhxhlZ4oIEobZ31969VIoCIUhFRKSCozVrexNXGzvY3lS58Rq8E0_Bk-AlaQucOHnk-c03f_Rl2VOCXxNSlmcUk-qs5pgwUt_LRqTi5bhiOb6fjTDl1RjTAp9kj0K4wpjQuqgfZid5CivG2Sj7segg6k5H9MaE6E3TR-Ms-mJUXCOIaGZ8SDnYI9eiuQtbE6FDE7UxIQygsWgB0WgbA7o2qWauN877NayMRDO90_7w_UnbVLfcW-XdRqMp9EEr1OzRHGwEsOiz8X1AH1KjhdfKyN8DaQgaLQcVE_cIrELTFBmZpG66_vz2HS17vzM76B5nD1rogn5yfE-zy9nby-l8fPHx3fvp5GIsi7qOY1azBjjHUsmGN1ISoppWUsnLligKqiC1prRRUpYM4wIaAoTiROi2kg3LT7Pzg-y2bzZayTSGh05svdmA3wsHRvydsWYtVm4nGE7354PAi6OAd197HaJI55S668Bq1wdBMSclp3ldJfT5P-iV63265UAxWpES0_yOWkGnhbGtS33lIComZcVZWdYMJ-rVgZLeheB1ezsywWLwkhi8JI5eSvizP9e8hW_Mk4CXB2BtrIJr859yOjG6hTualDmvivwXxDzgag</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Liu, Zhengwen</creator><creator>Han, Qunying</creator><creator>Zhang, Xiaoge</creator><creator>Li, Fang</creator><creator>Deng, Huan</creator><creator>Sang, Jiao</creator><creator>Fu, Shiqi</creator><creator>Liu, Zitong</creator><creator>Fan, Xiude</creator><creator>Li, Na</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3965-4947</orcidid></search><sort><creationdate>20180101</creationdate><title>Platelet Distribution Width at First Day of Hospital Admission in Patients with Hemorrhagic Fever with Renal Syndrome Caused by Hantaan Virus May Predict Disease Severity and Critical Patients’ Survival</title><author>Liu, Zhengwen ; Han, Qunying ; Zhang, Xiaoge ; Li, Fang ; Deng, Huan ; Sang, Jiao ; Fu, Shiqi ; Liu, Zitong ; Fan, Xiude ; Li, Na</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-696ba770cdcb7bcc11dbfc2c75f1d2ad419e22bdcc56004ab1a120fc2ef8cb63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Admission and discharge</topic><topic>Analysis</topic><topic>Blood platelets</topic><topic>Blood transfusions</topic><topic>Cardiovascular disease</topic><topic>Confidence intervals</topic><topic>Consortia</topic><topic>Demographics</topic><topic>Demography</topic><topic>Fever</topic><topic>Hemorrhage</topic><topic>Hemorrhagic fever</topic><topic>Hemorrhagic fever with renal syndrome</topic><topic>Hepatology</topic><topic>Hospital patients</topic><topic>Hospitals</topic><topic>Infection</topic><topic>Infections</topic><topic>Laboratories</topic><topic>Leukocytes</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Mortality</topic><topic>Multiple organ dysfunction syndrome</topic><topic>Multiple regression analysis</topic><topic>Parameters</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Permeability</topic><topic>Platelets</topic><topic>Population studies</topic><topic>Prognosis</topic><topic>Risk factors</topic><topic>Sepsis</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Survival</topic><topic>Thrombocytopenia</topic><topic>Thrombosis</topic><topic>Trauma</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhengwen</creatorcontrib><creatorcontrib>Han, Qunying</creatorcontrib><creatorcontrib>Zhang, Xiaoge</creatorcontrib><creatorcontrib>Li, Fang</creatorcontrib><creatorcontrib>Deng, Huan</creatorcontrib><creatorcontrib>Sang, Jiao</creatorcontrib><creatorcontrib>Fu, Shiqi</creatorcontrib><creatorcontrib>Liu, Zitong</creatorcontrib><creatorcontrib>Fan, Xiude</creatorcontrib><creatorcontrib>Li, Na</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Disease markers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Zhengwen</au><au>Han, Qunying</au><au>Zhang, Xiaoge</au><au>Li, Fang</au><au>Deng, Huan</au><au>Sang, Jiao</au><au>Fu, Shiqi</au><au>Liu, Zitong</au><au>Fan, Xiude</au><au>Li, Na</au><au>Scholze, Alexandra</au><au>Alexandra Scholze</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Platelet Distribution Width at First Day of Hospital Admission in Patients with Hemorrhagic Fever with Renal Syndrome Caused by Hantaan Virus May Predict Disease Severity and Critical Patients’ Survival</atitle><jtitle>Disease markers</jtitle><addtitle>Dis Markers</addtitle><date>2018-01-01</date><risdate>2018</risdate><volume>2018</volume><issue>2018</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>0278-0240</issn><eissn>1875-8630</eissn><abstract>Thrombocytopenia is one of the main characteristics of hemorrhagic fever with renal syndrome (HFRS). This study aimed to evaluate the associations of platelet distribution width (PDW) with the disease severity and critical patients’ survival of HFRS. The demographics, clinical data, and white blood cell and platelet parameters including PDW in 260 patients hospitalized for HFRS were analyzed. The results showed that PDW on the first day (PDW1) was positively associated with the disease severity (p=0.005). Multiple regression analysis showed that in addition to age (odds ratio [OR], 1.091; 95% confidence interval [CI], 1.015–1.172) and occurrence of sepsis (OR, 22.283; 95% CI, 2.985–166.325), PDW1 (OR, 0.782; 95% CI, 0.617–0.992) was a risk factor of the mortality, having an area under the receiver operating characteristic curve of 0.709 (95% CI, 0.572–0.846, p=0.013) for predicting mortality, with a sensitivity of 70% and a specificity of 67% at a cutoff of 16.5 fL, in patients with critical HFRS. These results suggest the potential of PDW at the first day of hospitalization as a valuable parameter for evaluating the severity of HFRS and a moderate parameter for predicting the prognosis of critical HFRS patients. A prospective study in large patient population is needed to validate these findings.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>30018676</pmid><doi>10.1155/2018/9701619</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3965-4947</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Admission and discharge Analysis Blood platelets Blood transfusions Cardiovascular disease Confidence intervals Consortia Demographics Demography Fever Hemorrhage Hemorrhagic fever Hemorrhagic fever with renal syndrome Hepatology Hospital patients Hospitals Infection Infections Laboratories Leukocytes Medical prognosis Medical research Medicine, Experimental Mortality Multiple organ dysfunction syndrome Multiple regression analysis Parameters Patient outcomes Patients Permeability Platelets Population studies Prognosis Risk factors Sepsis Software Statistical analysis Survival Thrombocytopenia Thrombosis Trauma Viruses |
title | Platelet Distribution Width at First Day of Hospital Admission in Patients with Hemorrhagic Fever with Renal Syndrome Caused by Hantaan Virus May Predict Disease Severity and Critical Patients’ Survival |
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