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...
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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 |
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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.</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 < 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.</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 - 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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 - 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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 < 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.</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> |
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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 |
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