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Prognostic value of DCTA scoring system in heart failure
Objective The aim of this study was to evaluate the prognostic value of a novel scoring system, based on D‑dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels, in patients with heart failure. Methods A total of 221 patients diagnosed with heart failure b...
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Published in: | Herz 2021-09, Vol.46 (Suppl 2), p.243-252 |
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description | Objective
The aim of this study was to evaluate the prognostic value of a novel scoring system, based on D‑dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels, in patients with heart failure.
Methods
A total of 221 patients diagnosed with heart failure between May 2016 to January 2020 were enrolled in this retrospective study. The prognostic significance of the biomarkers D‑dimer, total cholesterol, hs-cTnT, and serum albumin was determined with univariate and multivariate Cox proportional hazard models. A novel prognostic score based on these predictors was established. The Kaplan–Meier method and log-rank test were used to compare the adverse outcomes of patients in different risk groups.
Result
Results from univariate and multivariate analyses showed that high D‑dimer, low serum albumin, high hs-cTnT, and low total cholesterol levels were independent prognostic factors for adverse outcomes (D-dimer >0.63 mg/l, HR = 1.84, 95% CI = 1.16–2.94,
p
= 0.010; serum albumin >34 g/l, HR = 0.67, 95% CI = 0.45–0.99,
p
= 0.046; hs-cTnT >24.06 pg/ml, HR = 1.65, 95% CI = 1.08–2.53,
p
= 0.020; total cholesterol >3.68 mmol/l, HR = 0.63, 95% CI = 0.43–0.92,
p
= 0.017). Moreover, all the patients were stratified into low-risk or high-risk group according to a scoring system based on these four markers. Kaplan–Meier analyses demonstrated that patients in the high-risk group were more prone to having adverse outcomes compared with patients in the low-risk group.
Conclusion
D‑dimer, total cholesterol, hs-cTnT, and serum albumin levels were independent prognostic factors in the setting of heart failure. A novel and comprehensive scoring system based on these biomarkers is an easily available and effective tool for predicting the adverse outcomes of patients with heart failure. |
doi_str_mv | 10.1007/s00059-020-04993-1 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2452983417</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2452983417</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-3e98246ccb69165cbf90caa0bb506a643b2ae15e5a4dfeef7eb8b986f3122ff83</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EouXxAyxQJDZsAuNn7GVVnlIlWJS15ZgxpEqTYidI_XtSykNiwWoWc-6d0SHkhMIFBSguEwBIkwODHIQxPKc7ZEwVlblShu2SMXAB-bAoRuQgpQUAlYbBPhlxDloYMGOiH2P70rSpq3z27uoeszZkV9P5JEu-jVXzkqV16nCZVU32ii52WXBV3Uc8InvB1QmPv-Yhebq5nk_v8tnD7f10Mss9L2SXczSaCeV9qQxV0pfBgHcOylKCckrwkjmkEqUTzwExFFjq0mgVOGUsBM0Pyfm2dxXbtx5TZ5dV8ljXrsG2T5YJyYzmghYDevYHXbR9bIbvLJNKcyOklgPFtpSPbUoRg13Fauni2lKwG69269UOXu2nV0uH0OlXdV8u8fkn8i1yAPgWSKuNNYy_t_-p_QA8L4HB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2568394585</pqid></control><display><type>article</type><title>Prognostic value of DCTA scoring system in heart failure</title><source>Springer Nature</source><creator>Zhao, Tian-Jun ; Yang, Qian-Kun ; Bi, Li-Dan ; Li, Jie ; Tan, Chun-Yu ; Miao, Zhi-Lin</creator><creatorcontrib>Zhao, Tian-Jun ; Yang, Qian-Kun ; Bi, Li-Dan ; Li, Jie ; Tan, Chun-Yu ; Miao, Zhi-Lin</creatorcontrib><description>Objective
The aim of this study was to evaluate the prognostic value of a novel scoring system, based on D‑dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels, in patients with heart failure.
Methods
A total of 221 patients diagnosed with heart failure between May 2016 to January 2020 were enrolled in this retrospective study. The prognostic significance of the biomarkers D‑dimer, total cholesterol, hs-cTnT, and serum albumin was determined with univariate and multivariate Cox proportional hazard models. A novel prognostic score based on these predictors was established. The Kaplan–Meier method and log-rank test were used to compare the adverse outcomes of patients in different risk groups.
Result
Results from univariate and multivariate analyses showed that high D‑dimer, low serum albumin, high hs-cTnT, and low total cholesterol levels were independent prognostic factors for adverse outcomes (D-dimer >0.63 mg/l, HR = 1.84, 95% CI = 1.16–2.94,
p
= 0.010; serum albumin >34 g/l, HR = 0.67, 95% CI = 0.45–0.99,
p
= 0.046; hs-cTnT >24.06 pg/ml, HR = 1.65, 95% CI = 1.08–2.53,
p
= 0.020; total cholesterol >3.68 mmol/l, HR = 0.63, 95% CI = 0.43–0.92,
p
= 0.017). Moreover, all the patients were stratified into low-risk or high-risk group according to a scoring system based on these four markers. Kaplan–Meier analyses demonstrated that patients in the high-risk group were more prone to having adverse outcomes compared with patients in the low-risk group.
Conclusion
D‑dimer, total cholesterol, hs-cTnT, and serum albumin levels were independent prognostic factors in the setting of heart failure. A novel and comprehensive scoring system based on these biomarkers is an easily available and effective tool for predicting the adverse outcomes of patients with heart failure.</description><identifier>ISSN: 0340-9937</identifier><identifier>EISSN: 1615-6692</identifier><identifier>DOI: 10.1007/s00059-020-04993-1</identifier><identifier>PMID: 33084909</identifier><language>eng</language><publisher>Heidelberg: Springer Medizin</publisher><subject>Albumin ; Biomarkers ; Calcium-binding protein ; Cardiology ; Cholesterol ; Congestive heart failure ; Dimers ; Edetic Acid - analogs & derivatives ; Heart failure ; Heart Failure - diagnosis ; Humans ; Internal Medicine ; Medicine ; Medicine & Public Health ; Multivariate analysis ; Original Articles ; Prognosis ; Rank tests ; Retrospective Studies ; Risk ; Risk groups ; Serum albumin ; Statistical models ; Troponin ; Troponin T</subject><ispartof>Herz, 2021-09, Vol.46 (Suppl 2), p.243-252</ispartof><rights>Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2020</rights><rights>2020. Springer Medizin Verlag GmbH, ein Teil von Springer Nature.</rights><rights>Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-3e98246ccb69165cbf90caa0bb506a643b2ae15e5a4dfeef7eb8b986f3122ff83</citedby><cites>FETCH-LOGICAL-c375t-3e98246ccb69165cbf90caa0bb506a643b2ae15e5a4dfeef7eb8b986f3122ff83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33084909$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Tian-Jun</creatorcontrib><creatorcontrib>Yang, Qian-Kun</creatorcontrib><creatorcontrib>Bi, Li-Dan</creatorcontrib><creatorcontrib>Li, Jie</creatorcontrib><creatorcontrib>Tan, Chun-Yu</creatorcontrib><creatorcontrib>Miao, Zhi-Lin</creatorcontrib><title>Prognostic value of DCTA scoring system in heart failure</title><title>Herz</title><addtitle>Herz</addtitle><addtitle>Herz</addtitle><description>Objective
The aim of this study was to evaluate the prognostic value of a novel scoring system, based on D‑dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels, in patients with heart failure.
Methods
A total of 221 patients diagnosed with heart failure between May 2016 to January 2020 were enrolled in this retrospective study. The prognostic significance of the biomarkers D‑dimer, total cholesterol, hs-cTnT, and serum albumin was determined with univariate and multivariate Cox proportional hazard models. A novel prognostic score based on these predictors was established. The Kaplan–Meier method and log-rank test were used to compare the adverse outcomes of patients in different risk groups.
Result
Results from univariate and multivariate analyses showed that high D‑dimer, low serum albumin, high hs-cTnT, and low total cholesterol levels were independent prognostic factors for adverse outcomes (D-dimer >0.63 mg/l, HR = 1.84, 95% CI = 1.16–2.94,
p
= 0.010; serum albumin >34 g/l, HR = 0.67, 95% CI = 0.45–0.99,
p
= 0.046; hs-cTnT >24.06 pg/ml, HR = 1.65, 95% CI = 1.08–2.53,
p
= 0.020; total cholesterol >3.68 mmol/l, HR = 0.63, 95% CI = 0.43–0.92,
p
= 0.017). Moreover, all the patients were stratified into low-risk or high-risk group according to a scoring system based on these four markers. Kaplan–Meier analyses demonstrated that patients in the high-risk group were more prone to having adverse outcomes compared with patients in the low-risk group.
Conclusion
D‑dimer, total cholesterol, hs-cTnT, and serum albumin levels were independent prognostic factors in the setting of heart failure. A novel and comprehensive scoring system based on these biomarkers is an easily available and effective tool for predicting the adverse outcomes of patients with heart failure.</description><subject>Albumin</subject><subject>Biomarkers</subject><subject>Calcium-binding protein</subject><subject>Cardiology</subject><subject>Cholesterol</subject><subject>Congestive heart failure</subject><subject>Dimers</subject><subject>Edetic Acid - analogs & derivatives</subject><subject>Heart failure</subject><subject>Heart Failure - diagnosis</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multivariate analysis</subject><subject>Original Articles</subject><subject>Prognosis</subject><subject>Rank tests</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Risk groups</subject><subject>Serum albumin</subject><subject>Statistical models</subject><subject>Troponin</subject><subject>Troponin T</subject><issn>0340-9937</issn><issn>1615-6692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EouXxAyxQJDZsAuNn7GVVnlIlWJS15ZgxpEqTYidI_XtSykNiwWoWc-6d0SHkhMIFBSguEwBIkwODHIQxPKc7ZEwVlblShu2SMXAB-bAoRuQgpQUAlYbBPhlxDloYMGOiH2P70rSpq3z27uoeszZkV9P5JEu-jVXzkqV16nCZVU32ii52WXBV3Uc8InvB1QmPv-Yhebq5nk_v8tnD7f10Mss9L2SXczSaCeV9qQxV0pfBgHcOylKCckrwkjmkEqUTzwExFFjq0mgVOGUsBM0Pyfm2dxXbtx5TZ5dV8ljXrsG2T5YJyYzmghYDevYHXbR9bIbvLJNKcyOklgPFtpSPbUoRg13Fauni2lKwG69269UOXu2nV0uH0OlXdV8u8fkn8i1yAPgWSKuNNYy_t_-p_QA8L4HB</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Zhao, Tian-Jun</creator><creator>Yang, Qian-Kun</creator><creator>Bi, Li-Dan</creator><creator>Li, Jie</creator><creator>Tan, Chun-Yu</creator><creator>Miao, Zhi-Lin</creator><general>Springer Medizin</general><general>Springer Nature B.V</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>3V.</scope><scope>7TS</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20210901</creationdate><title>Prognostic value of DCTA scoring system in heart failure</title><author>Zhao, Tian-Jun ; Yang, Qian-Kun ; Bi, Li-Dan ; Li, Jie ; Tan, Chun-Yu ; Miao, Zhi-Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-3e98246ccb69165cbf90caa0bb506a643b2ae15e5a4dfeef7eb8b986f3122ff83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Albumin</topic><topic>Biomarkers</topic><topic>Calcium-binding protein</topic><topic>Cardiology</topic><topic>Cholesterol</topic><topic>Congestive heart failure</topic><topic>Dimers</topic><topic>Edetic Acid - analogs & derivatives</topic><topic>Heart failure</topic><topic>Heart Failure - diagnosis</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multivariate analysis</topic><topic>Original Articles</topic><topic>Prognosis</topic><topic>Rank tests</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Risk groups</topic><topic>Serum albumin</topic><topic>Statistical models</topic><topic>Troponin</topic><topic>Troponin T</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Tian-Jun</creatorcontrib><creatorcontrib>Yang, Qian-Kun</creatorcontrib><creatorcontrib>Bi, Li-Dan</creatorcontrib><creatorcontrib>Li, Jie</creatorcontrib><creatorcontrib>Tan, Chun-Yu</creatorcontrib><creatorcontrib>Miao, Zhi-Lin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Herz</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Tian-Jun</au><au>Yang, Qian-Kun</au><au>Bi, Li-Dan</au><au>Li, Jie</au><au>Tan, Chun-Yu</au><au>Miao, Zhi-Lin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic value of DCTA scoring system in heart failure</atitle><jtitle>Herz</jtitle><stitle>Herz</stitle><addtitle>Herz</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>46</volume><issue>Suppl 2</issue><spage>243</spage><epage>252</epage><pages>243-252</pages><issn>0340-9937</issn><eissn>1615-6692</eissn><abstract>Objective
The aim of this study was to evaluate the prognostic value of a novel scoring system, based on D‑dimer, total cholesterol, high-sensitivity cardiac troponin T (hs-cTnT), and serum albumin levels, in patients with heart failure.
Methods
A total of 221 patients diagnosed with heart failure between May 2016 to January 2020 were enrolled in this retrospective study. The prognostic significance of the biomarkers D‑dimer, total cholesterol, hs-cTnT, and serum albumin was determined with univariate and multivariate Cox proportional hazard models. A novel prognostic score based on these predictors was established. The Kaplan–Meier method and log-rank test were used to compare the adverse outcomes of patients in different risk groups.
Result
Results from univariate and multivariate analyses showed that high D‑dimer, low serum albumin, high hs-cTnT, and low total cholesterol levels were independent prognostic factors for adverse outcomes (D-dimer >0.63 mg/l, HR = 1.84, 95% CI = 1.16–2.94,
p
= 0.010; serum albumin >34 g/l, HR = 0.67, 95% CI = 0.45–0.99,
p
= 0.046; hs-cTnT >24.06 pg/ml, HR = 1.65, 95% CI = 1.08–2.53,
p
= 0.020; total cholesterol >3.68 mmol/l, HR = 0.63, 95% CI = 0.43–0.92,
p
= 0.017). Moreover, all the patients were stratified into low-risk or high-risk group according to a scoring system based on these four markers. Kaplan–Meier analyses demonstrated that patients in the high-risk group were more prone to having adverse outcomes compared with patients in the low-risk group.
Conclusion
D‑dimer, total cholesterol, hs-cTnT, and serum albumin levels were independent prognostic factors in the setting of heart failure. A novel and comprehensive scoring system based on these biomarkers is an easily available and effective tool for predicting the adverse outcomes of patients with heart failure.</abstract><cop>Heidelberg</cop><pub>Springer Medizin</pub><pmid>33084909</pmid><doi>10.1007/s00059-020-04993-1</doi><tpages>10</tpages></addata></record> |
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subjects | Albumin Biomarkers Calcium-binding protein Cardiology Cholesterol Congestive heart failure Dimers Edetic Acid - analogs & derivatives Heart failure Heart Failure - diagnosis Humans Internal Medicine Medicine Medicine & Public Health Multivariate analysis Original Articles Prognosis Rank tests Retrospective Studies Risk Risk groups Serum albumin Statistical models Troponin Troponin T |
title | Prognostic value of DCTA scoring system in heart failure |
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