Assessing red blood cell distribution width in Vietnamese heart failure patients: A cross-sectional study

Heart failure (HF) is becoming a growing public health concern. Diagnostic tests for determining the severity of HF often come with high costs and require specialized expertise, which makes it difficult to assess HF severity, especially in low-income countries or at primary healthcare facilities. Re...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2024-07, Vol.19 (7), p.e0301319
Hauptverfasser: Dang, Hai Nguyen Ngoc, Viet Luong, Thang, Cao, Mai Thi Thu, Bui, Vinh Trung, Tran, Thanh Thien, Nguyen, Hung Minh
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 7
container_start_page e0301319
container_title PloS one
container_volume 19
creator Dang, Hai Nguyen Ngoc
Viet Luong, Thang
Cao, Mai Thi Thu
Bui, Vinh Trung
Tran, Thanh Thien
Nguyen, Hung Minh
description Heart failure (HF) is becoming a growing public health concern. Diagnostic tests for determining the severity of HF often come with high costs and require specialized expertise, which makes it difficult to assess HF severity, especially in low-income countries or at primary healthcare facilities. Recently, red blood cell distribution width (RDW) has emerged as a promising, easily accessible marker associated with HF severity. The study aimed to assess changes in RDW levels in HF patients and the diagnostic value of RDW in detecting acute heart failure (AHF) among HF patients. We conducted a cross-sectional examination involving 351 participants divided into HF and non-HF cohorts. HF was defined and categorized according to the diagnostic and treatment guidelines for AHF and chronic heart failure (CHF) set forth by the European Society of Cardiology (2021). Univariate and multivariate analysis of factors associated with AHF was performed. The study revealed that HF patients displayed higher median RDW levels (14.90% [13.70-17.00]) compared to non-HF individuals (13.00% [12.23-13.78]). RDW was notably elevated in HF patients with left ventricular ejection fraction < 50% compared to those with left ventricular ejection fraction ≥ 50%. ROC curve analysis of RDW for AHF detection identified a cutoff value of 13.85%, with a sensitivity of 86.05% and specificity of 47.18%, statistically significant at p < 0.001. RDW > 13.85% was identified as an independent risk factor for AHF in patients with HF, with odds ratios of 2.644 (95% CI, 1.190-5.875; p = 0.017). The study revealed significant RDW variations in patients with CHF and AHF compared to the control group. These findings suggest that RDW could be a biomarker for detecting HF severity.
doi_str_mv 10.1371/journal.pone.0301319
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3083852116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A802334250</galeid><sourcerecordid>A802334250</sourcerecordid><originalsourceid>FETCH-LOGICAL-c506t-1e171603d8808982d6842c74046ccd6b3958537a7f436148452e10fd518841653</originalsourceid><addsrcrecordid>eNqNkl1rFDEUhgdRbK3-A9GAIHqxa74n440sxY9CoeBHb0N2ktlNyU7WnIzaf29mOy270gvJRULyvO85nLxV9ZzgOWE1eXcVh9SbMN_G3s0xw4SR5kF1TBpGZ5Ji9nDvfFQ9AbjCWDAl5ePqiDWYU8nxceUXAA7A9yuUnEXLEKNFrQsBWQ85-eWQfezRb2_zGvkeXXqXe7Nx4NDamZRRZ3wYkkNbk73rM7xHC9SmCDAD145aExDkwV4_rR51JoB7Nu0n1Y9PH7-ffpmdX3w-O12cz1qBZZ4RR2oiMbNKYdUoaqXitK055rJtrVyyRijBalN3nEnCFRfUEdxZQZTiRAp2Ur288d2GCHqaEmiGFVOCEiIL8WEihuXG2ba0nUzQ2-Q3Jl3raLw-fOn9Wq_iL00IlUKKuji8mRxS_Dk4yHrjYZya6V0cdsU4pqr8SkFf_YPe39JErUxw2vddLIXb0VQvFKaMcSpGr_k9VFnWbXxbctD5cn8geHsgKEx2f_LKDAD67NvX_2cvLg_Z13tsCULIa4hhlxU4BPkNuItEct3dlAnWY4xvp6HHGOspxkX2Yv-H7kS3uWV_AZsd66E</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3083852116</pqid></control><display><type>article</type><title>Assessing red blood cell distribution width in Vietnamese heart failure patients: A cross-sectional study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Dang, Hai Nguyen Ngoc ; Viet Luong, Thang ; Cao, Mai Thi Thu ; Bui, Vinh Trung ; Tran, Thanh Thien ; Nguyen, Hung Minh</creator><contributor>Klisic, Aleksandra</contributor><creatorcontrib>Dang, Hai Nguyen Ngoc ; Viet Luong, Thang ; Cao, Mai Thi Thu ; Bui, Vinh Trung ; Tran, Thanh Thien ; Nguyen, Hung Minh ; Klisic, Aleksandra</creatorcontrib><description>Heart failure (HF) is becoming a growing public health concern. Diagnostic tests for determining the severity of HF often come with high costs and require specialized expertise, which makes it difficult to assess HF severity, especially in low-income countries or at primary healthcare facilities. Recently, red blood cell distribution width (RDW) has emerged as a promising, easily accessible marker associated with HF severity. The study aimed to assess changes in RDW levels in HF patients and the diagnostic value of RDW in detecting acute heart failure (AHF) among HF patients. We conducted a cross-sectional examination involving 351 participants divided into HF and non-HF cohorts. HF was defined and categorized according to the diagnostic and treatment guidelines for AHF and chronic heart failure (CHF) set forth by the European Society of Cardiology (2021). Univariate and multivariate analysis of factors associated with AHF was performed. The study revealed that HF patients displayed higher median RDW levels (14.90% [13.70-17.00]) compared to non-HF individuals (13.00% [12.23-13.78]). RDW was notably elevated in HF patients with left ventricular ejection fraction &lt; 50% compared to those with left ventricular ejection fraction ≥ 50%. ROC curve analysis of RDW for AHF detection identified a cutoff value of 13.85%, with a sensitivity of 86.05% and specificity of 47.18%, statistically significant at p &lt; 0.001. RDW &gt; 13.85% was identified as an independent risk factor for AHF in patients with HF, with odds ratios of 2.644 (95% CI, 1.190-5.875; p = 0.017). The study revealed significant RDW variations in patients with CHF and AHF compared to the control group. These findings suggest that RDW could be a biomarker for detecting HF severity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0301319</identifier><identifier>PMID: 39042640</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Analysis ; Biology and Life Sciences ; Biomarkers ; Biomarkers - blood ; Blood pressure ; Blood tests ; Cardiac patients ; Cardiology ; Cardiovascular disease ; Cholesterol ; Congestive heart failure ; Cross-Sectional Studies ; Diagnosis ; Diagnostic systems ; Ejection fraction ; Erythrocyte Indices ; Erythrocytes ; Erythrocytes - pathology ; Female ; Health care facilities ; Heart ; Heart failure ; Heart Failure - blood ; Heart Failure - diagnosis ; Hematology ; Hemoglobin ; High density lipoprotein ; Hospitalization ; Hospitals ; Humans ; Laboratories ; Lipoproteins ; Low income areas ; Male ; Medical prognosis ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Middle Aged ; Mortality ; Multivariate analysis ; Patients ; Primary health care ; Public health ; Regression analysis ; Risk factors ; ROC Curve ; Software ; Southeast Asian People ; Statistical analysis ; Stroke Volume ; Ventricle ; Vietnam - epidemiology</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0301319</ispartof><rights>Copyright: © 2024 Dang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Dang 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>2024 Dang et al 2024 Dang et al</rights><rights>2024 Dang 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c506t-1e171603d8808982d6842c74046ccd6b3958537a7f436148452e10fd518841653</cites><orcidid>0009-0003-4278-8238 ; 0009-0007-9697-7682 ; 0009-0006-4512-4658 ; 0009-0001-1378-6116 ; 0009-0003-5204-4785 ; 0009-0008-5109-9115</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/PMC11265657/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11265657/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39042640$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Klisic, Aleksandra</contributor><creatorcontrib>Dang, Hai Nguyen Ngoc</creatorcontrib><creatorcontrib>Viet Luong, Thang</creatorcontrib><creatorcontrib>Cao, Mai Thi Thu</creatorcontrib><creatorcontrib>Bui, Vinh Trung</creatorcontrib><creatorcontrib>Tran, Thanh Thien</creatorcontrib><creatorcontrib>Nguyen, Hung Minh</creatorcontrib><title>Assessing red blood cell distribution width in Vietnamese heart failure patients: A cross-sectional study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Heart failure (HF) is becoming a growing public health concern. Diagnostic tests for determining the severity of HF often come with high costs and require specialized expertise, which makes it difficult to assess HF severity, especially in low-income countries or at primary healthcare facilities. Recently, red blood cell distribution width (RDW) has emerged as a promising, easily accessible marker associated with HF severity. The study aimed to assess changes in RDW levels in HF patients and the diagnostic value of RDW in detecting acute heart failure (AHF) among HF patients. We conducted a cross-sectional examination involving 351 participants divided into HF and non-HF cohorts. HF was defined and categorized according to the diagnostic and treatment guidelines for AHF and chronic heart failure (CHF) set forth by the European Society of Cardiology (2021). Univariate and multivariate analysis of factors associated with AHF was performed. The study revealed that HF patients displayed higher median RDW levels (14.90% [13.70-17.00]) compared to non-HF individuals (13.00% [12.23-13.78]). RDW was notably elevated in HF patients with left ventricular ejection fraction &lt; 50% compared to those with left ventricular ejection fraction ≥ 50%. ROC curve analysis of RDW for AHF detection identified a cutoff value of 13.85%, with a sensitivity of 86.05% and specificity of 47.18%, statistically significant at p &lt; 0.001. RDW &gt; 13.85% was identified as an independent risk factor for AHF in patients with HF, with odds ratios of 2.644 (95% CI, 1.190-5.875; p = 0.017). The study revealed significant RDW variations in patients with CHF and AHF compared to the control group. These findings suggest that RDW could be a biomarker for detecting HF severity.</description><subject>Aged</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood pressure</subject><subject>Blood tests</subject><subject>Cardiac patients</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Cholesterol</subject><subject>Congestive heart failure</subject><subject>Cross-Sectional Studies</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Ejection fraction</subject><subject>Erythrocyte Indices</subject><subject>Erythrocytes</subject><subject>Erythrocytes - pathology</subject><subject>Female</subject><subject>Health care facilities</subject><subject>Heart</subject><subject>Heart failure</subject><subject>Heart Failure - blood</subject><subject>Heart Failure - diagnosis</subject><subject>Hematology</subject><subject>Hemoglobin</subject><subject>High density lipoprotein</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Lipoproteins</subject><subject>Low income areas</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Medicine, Experimental</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Patients</subject><subject>Primary health care</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>ROC Curve</subject><subject>Software</subject><subject>Southeast Asian People</subject><subject>Statistical analysis</subject><subject>Stroke Volume</subject><subject>Ventricle</subject><subject>Vietnam - epidemiology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</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><recordid>eNqNkl1rFDEUhgdRbK3-A9GAIHqxa74n440sxY9CoeBHb0N2ktlNyU7WnIzaf29mOy270gvJRULyvO85nLxV9ZzgOWE1eXcVh9SbMN_G3s0xw4SR5kF1TBpGZ5Ji9nDvfFQ9AbjCWDAl5ePqiDWYU8nxceUXAA7A9yuUnEXLEKNFrQsBWQ85-eWQfezRb2_zGvkeXXqXe7Nx4NDamZRRZ3wYkkNbk73rM7xHC9SmCDAD145aExDkwV4_rR51JoB7Nu0n1Y9PH7-ffpmdX3w-O12cz1qBZZ4RR2oiMbNKYdUoaqXitK055rJtrVyyRijBalN3nEnCFRfUEdxZQZTiRAp2Ur288d2GCHqaEmiGFVOCEiIL8WEihuXG2ba0nUzQ2-Q3Jl3raLw-fOn9Wq_iL00IlUKKuji8mRxS_Dk4yHrjYZya6V0cdsU4pqr8SkFf_YPe39JErUxw2vddLIXb0VQvFKaMcSpGr_k9VFnWbXxbctD5cn8geHsgKEx2f_LKDAD67NvX_2cvLg_Z13tsCULIa4hhlxU4BPkNuItEct3dlAnWY4xvp6HHGOspxkX2Yv-H7kS3uWV_AZsd66E</recordid><startdate>20240723</startdate><enddate>20240723</enddate><creator>Dang, Hai Nguyen Ngoc</creator><creator>Viet Luong, Thang</creator><creator>Cao, Mai Thi Thu</creator><creator>Bui, Vinh Trung</creator><creator>Tran, Thanh Thien</creator><creator>Nguyen, Hung Minh</creator><general>Public Library of Science</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>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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0003-4278-8238</orcidid><orcidid>https://orcid.org/0009-0007-9697-7682</orcidid><orcidid>https://orcid.org/0009-0006-4512-4658</orcidid><orcidid>https://orcid.org/0009-0001-1378-6116</orcidid><orcidid>https://orcid.org/0009-0003-5204-4785</orcidid><orcidid>https://orcid.org/0009-0008-5109-9115</orcidid></search><sort><creationdate>20240723</creationdate><title>Assessing red blood cell distribution width in Vietnamese heart failure patients: A cross-sectional study</title><author>Dang, Hai Nguyen Ngoc ; Viet Luong, Thang ; Cao, Mai Thi Thu ; Bui, Vinh Trung ; Tran, Thanh Thien ; Nguyen, Hung Minh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-1e171603d8808982d6842c74046ccd6b3958537a7f436148452e10fd518841653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Blood pressure</topic><topic>Blood tests</topic><topic>Cardiac patients</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Cholesterol</topic><topic>Congestive heart failure</topic><topic>Cross-Sectional Studies</topic><topic>Diagnosis</topic><topic>Diagnostic systems</topic><topic>Ejection fraction</topic><topic>Erythrocyte Indices</topic><topic>Erythrocytes</topic><topic>Erythrocytes - pathology</topic><topic>Female</topic><topic>Health care facilities</topic><topic>Heart</topic><topic>Heart failure</topic><topic>Heart Failure - blood</topic><topic>Heart Failure - diagnosis</topic><topic>Hematology</topic><topic>Hemoglobin</topic><topic>High density lipoprotein</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Lipoproteins</topic><topic>Low income areas</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Medicine, Experimental</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Patients</topic><topic>Primary health care</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>ROC Curve</topic><topic>Software</topic><topic>Southeast Asian People</topic><topic>Statistical analysis</topic><topic>Stroke Volume</topic><topic>Ventricle</topic><topic>Vietnam - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dang, Hai Nguyen Ngoc</creatorcontrib><creatorcontrib>Viet Luong, Thang</creatorcontrib><creatorcontrib>Cao, Mai Thi Thu</creatorcontrib><creatorcontrib>Bui, Vinh Trung</creatorcontrib><creatorcontrib>Tran, Thanh Thien</creatorcontrib><creatorcontrib>Nguyen, Hung Minh</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 &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; 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 &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</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 &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dang, Hai Nguyen Ngoc</au><au>Viet Luong, Thang</au><au>Cao, Mai Thi Thu</au><au>Bui, Vinh Trung</au><au>Tran, Thanh Thien</au><au>Nguyen, Hung Minh</au><au>Klisic, Aleksandra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing red blood cell distribution width in Vietnamese heart failure patients: A cross-sectional study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-07-23</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0301319</spage><pages>e0301319-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Heart failure (HF) is becoming a growing public health concern. Diagnostic tests for determining the severity of HF often come with high costs and require specialized expertise, which makes it difficult to assess HF severity, especially in low-income countries or at primary healthcare facilities. Recently, red blood cell distribution width (RDW) has emerged as a promising, easily accessible marker associated with HF severity. The study aimed to assess changes in RDW levels in HF patients and the diagnostic value of RDW in detecting acute heart failure (AHF) among HF patients. We conducted a cross-sectional examination involving 351 participants divided into HF and non-HF cohorts. HF was defined and categorized according to the diagnostic and treatment guidelines for AHF and chronic heart failure (CHF) set forth by the European Society of Cardiology (2021). Univariate and multivariate analysis of factors associated with AHF was performed. The study revealed that HF patients displayed higher median RDW levels (14.90% [13.70-17.00]) compared to non-HF individuals (13.00% [12.23-13.78]). RDW was notably elevated in HF patients with left ventricular ejection fraction &lt; 50% compared to those with left ventricular ejection fraction ≥ 50%. ROC curve analysis of RDW for AHF detection identified a cutoff value of 13.85%, with a sensitivity of 86.05% and specificity of 47.18%, statistically significant at p &lt; 0.001. RDW &gt; 13.85% was identified as an independent risk factor for AHF in patients with HF, with odds ratios of 2.644 (95% CI, 1.190-5.875; p = 0.017). The study revealed significant RDW variations in patients with CHF and AHF compared to the control group. These findings suggest that RDW could be a biomarker for detecting HF severity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39042640</pmid><doi>10.1371/journal.pone.0301319</doi><tpages>e0301319</tpages><orcidid>https://orcid.org/0009-0003-4278-8238</orcidid><orcidid>https://orcid.org/0009-0007-9697-7682</orcidid><orcidid>https://orcid.org/0009-0006-4512-4658</orcidid><orcidid>https://orcid.org/0009-0001-1378-6116</orcidid><orcidid>https://orcid.org/0009-0003-5204-4785</orcidid><orcidid>https://orcid.org/0009-0008-5109-9115</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2024-07, Vol.19 (7), p.e0301319
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_3083852116
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
Analysis
Biology and Life Sciences
Biomarkers
Biomarkers - blood
Blood pressure
Blood tests
Cardiac patients
Cardiology
Cardiovascular disease
Cholesterol
Congestive heart failure
Cross-Sectional Studies
Diagnosis
Diagnostic systems
Ejection fraction
Erythrocyte Indices
Erythrocytes
Erythrocytes - pathology
Female
Health care facilities
Heart
Heart failure
Heart Failure - blood
Heart Failure - diagnosis
Hematology
Hemoglobin
High density lipoprotein
Hospitalization
Hospitals
Humans
Laboratories
Lipoproteins
Low income areas
Male
Medical prognosis
Medical research
Medicine and Health Sciences
Medicine, Experimental
Middle Aged
Mortality
Multivariate analysis
Patients
Primary health care
Public health
Regression analysis
Risk factors
ROC Curve
Software
Southeast Asian People
Statistical analysis
Stroke Volume
Ventricle
Vietnam - epidemiology
title Assessing red blood cell distribution width in Vietnamese heart failure patients: A cross-sectional study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T22%3A35%3A39IST&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=Assessing%20red%20blood%20cell%20distribution%20width%20in%20Vietnamese%20heart%20failure%20patients:%20A%20cross-sectional%20study&rft.jtitle=PloS%20one&rft.au=Dang,%20Hai%20Nguyen%20Ngoc&rft.date=2024-07-23&rft.volume=19&rft.issue=7&rft.spage=e0301319&rft.pages=e0301319-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0301319&rft_dat=%3Cgale_plos_%3EA802334250%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=3083852116&rft_id=info:pmid/39042640&rft_galeid=A802334250&rfr_iscdi=true