Cargando…

Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients

BACKGROUND: Various investigations have specified the role of each RBC indices separately [including hemoglobin (Hb), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red blood cell distribution width (RDW)] to...

Descripción completa

Detalles Bibliográficos
Autores principales: Hosseinpour, Morteza, Hatamnejad, Mohammad Reza, Montazeri, Mohammad Nima, Bazrafshan drissi, Hamed, Akbari Khezrabadi, Ali, Shojaeefard, Ehsan, Khanzadeh, Shokoufeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727904/
https://www.ncbi.nlm.nih.gov/pubmed/36476214
http://dx.doi.org/10.1186/s12872-022-02987-x
_version_ 1784845128107556864
author Hosseinpour, Morteza
Hatamnejad, Mohammad Reza
Montazeri, Mohammad Nima
Bazrafshan drissi, Hamed
Akbari Khezrabadi, Ali
Shojaeefard, Ehsan
Khanzadeh, Shokoufeh
author_facet Hosseinpour, Morteza
Hatamnejad, Mohammad Reza
Montazeri, Mohammad Nima
Bazrafshan drissi, Hamed
Akbari Khezrabadi, Ali
Shojaeefard, Ehsan
Khanzadeh, Shokoufeh
author_sort Hosseinpour, Morteza
collection PubMed
description BACKGROUND: Various investigations have specified the role of each RBC indices separately [including hemoglobin (Hb), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red blood cell distribution width (RDW)] to predict the prognosis of acute heart failure (AHF) patients. However, in the current study, these variables were compared based on accuracy, sensitivity, and specificity to determine the best prognostic factor. METHODS: Of 734 heart failure patients referred to the emergency department, 400 cases were enrolled based on the inclusion and exclusion criteria. Data of them were documented, and patients were followed for one year. Eventually, the association of clinical variables and RBC indices with one-year mortality was explored. RESULTS: The study included 226 (56%) men and 174 (44%) women with a median age of 66 years. Body Mass Index (HR 1.098, p = 0.016), Hb (HR 0.728, p = 0.024), HTC (HR 0.875, p = 0.066), MCHC (HR 0.795, p = 0.037), and RDW-CV (HR 1.174, p = 0.006) were confirmed as predictors of long-term mortality. Despite confirming the predictive role of these variables by ROC curves, their sensitivity and specificity were reported as follows: [72% and 50% for Hb], [75% and 52% for  HCT], [88% and 27% for MCHC], and [49% and 81% for RDW]. In addition, stratified groups of patients, based on normal cut-off values obtained from scientific literature, had significantly different survival in Kaplan–Meier analyses. CONCLUSION: Whilst proving the predictive role of Hb,  HCT, MCHC, and RDW in AHF patients, the most sensitive measurement was MCHC and the most specific one was RDW; therefore, these variables should be considered for risk stratification purposes of AHF patients in daily clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02987-x.
format Online
Article
Text
id pubmed-9727904
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-97279042022-12-08 Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients Hosseinpour, Morteza Hatamnejad, Mohammad Reza Montazeri, Mohammad Nima Bazrafshan drissi, Hamed Akbari Khezrabadi, Ali Shojaeefard, Ehsan Khanzadeh, Shokoufeh BMC Cardiovasc Disord Research BACKGROUND: Various investigations have specified the role of each RBC indices separately [including hemoglobin (Hb), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red blood cell distribution width (RDW)] to predict the prognosis of acute heart failure (AHF) patients. However, in the current study, these variables were compared based on accuracy, sensitivity, and specificity to determine the best prognostic factor. METHODS: Of 734 heart failure patients referred to the emergency department, 400 cases were enrolled based on the inclusion and exclusion criteria. Data of them were documented, and patients were followed for one year. Eventually, the association of clinical variables and RBC indices with one-year mortality was explored. RESULTS: The study included 226 (56%) men and 174 (44%) women with a median age of 66 years. Body Mass Index (HR 1.098, p = 0.016), Hb (HR 0.728, p = 0.024), HTC (HR 0.875, p = 0.066), MCHC (HR 0.795, p = 0.037), and RDW-CV (HR 1.174, p = 0.006) were confirmed as predictors of long-term mortality. Despite confirming the predictive role of these variables by ROC curves, their sensitivity and specificity were reported as follows: [72% and 50% for Hb], [75% and 52% for  HCT], [88% and 27% for MCHC], and [49% and 81% for RDW]. In addition, stratified groups of patients, based on normal cut-off values obtained from scientific literature, had significantly different survival in Kaplan–Meier analyses. CONCLUSION: Whilst proving the predictive role of Hb,  HCT, MCHC, and RDW in AHF patients, the most sensitive measurement was MCHC and the most specific one was RDW; therefore, these variables should be considered for risk stratification purposes of AHF patients in daily clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02987-x. BioMed Central 2022-12-07 /pmc/articles/PMC9727904/ /pubmed/36476214 http://dx.doi.org/10.1186/s12872-022-02987-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hosseinpour, Morteza
Hatamnejad, Mohammad Reza
Montazeri, Mohammad Nima
Bazrafshan drissi, Hamed
Akbari Khezrabadi, Ali
Shojaeefard, Ehsan
Khanzadeh, Shokoufeh
Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
title Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
title_full Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
title_fullStr Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
title_full_unstemmed Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
title_short Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
title_sort comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727904/
https://www.ncbi.nlm.nih.gov/pubmed/36476214
http://dx.doi.org/10.1186/s12872-022-02987-x
work_keys_str_mv AT hosseinpourmorteza comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients
AT hatamnejadmohammadreza comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients
AT montazerimohammadnima comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients
AT bazrafshandrissihamed comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients
AT akbarikhezrabadiali comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients
AT shojaeefardehsan comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients
AT khanzadehshokoufeh comparisonoftheredbloodcellindicesbasedonaccuracysensitivityandspecificitytopredictoneyearmortalityinheartfailurepatients