Using CHADS2 and CHA2DS2-VASc scores for mortality prediction in patients with chronic kidney disease
Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS 2 and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in pat...
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| Veröffentlicht in: | Scientific reports 2020-11, Vol.10 (1), p.18942-18942, Article 18942 |
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| creator | Hsu, Po-Chao Lee, Wen-Hsien Chen, Szu-Chia Tsai, Yi-Chun Chen, Ying-Chih Chu, Chun-Yuan Lin, Tsung-Hsien Voon, Wen-Chol Lai, Wen-Ter Sheu, Sheng-Hsiung Su, Ho-Ming |
| description | Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS
2
and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS
2
and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS
2
and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS
2
and CHA
2
DS
2
-VASc scores (both
P
value |
| doi_str_mv | 10.1038/s41598-020-76098-y |
| format | Article |
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2
and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS
2
and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS
2
and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS
2
and CHA
2
DS
2
-VASc scores (both
P
value < 0.001) were significant predictors of CV and all-cause mortality in the multivariate analysis. Besides, in direct comparison of multivariate model, basic model + CHA
2
DS
2
-VASc score had a better additive predictive value for all-cause mortality than basic model + CHADS
2
score (
P
= 0.031). In conclusion, our study showed both of CHADS
2
and CHA
2
DS
2
-VASc scores were significant predictors for long-term CV and all-cause mortality in CKD patients and CHA
2
DS
2
-VASc score had a better predictive value than CHADS
2
score for all-cause mortality in direct comparison of multivariate model. Therefore, using CHADS
2
and CHA
2
DS
2
-VASc scores to screen CKD patients may be helpful in identifying the high-risk group with increased mortality.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-76098-y</identifier><identifier>PMID: 33144647</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4022/1585 ; 692/53/2422 ; 692/53/2423 ; 692/699/1585 ; Cardiovascular diseases ; Fibrillation ; Heart rate ; Humanities and Social Sciences ; Kidney diseases ; Morbidity ; Mortality ; multidisciplinary ; Multivariate analysis ; Predictions ; Public health ; Risk groups ; Science ; Science (multidisciplinary)</subject><ispartof>Scientific reports, 2020-11, Vol.10 (1), p.18942-18942, Article 18942</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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><citedby>FETCH-LOGICAL-c451t-2f1df578b3b446caf1e257f7021315aab2136518342160440e0cd33977401ccc3</citedby><cites>FETCH-LOGICAL-c451t-2f1df578b3b446caf1e257f7021315aab2136518342160440e0cd33977401ccc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609539/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609539/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27923,27924,41119,42188,51575,53790,53792</link.rule.ids></links><search><creatorcontrib>Hsu, Po-Chao</creatorcontrib><creatorcontrib>Lee, Wen-Hsien</creatorcontrib><creatorcontrib>Chen, Szu-Chia</creatorcontrib><creatorcontrib>Tsai, Yi-Chun</creatorcontrib><creatorcontrib>Chen, Ying-Chih</creatorcontrib><creatorcontrib>Chu, Chun-Yuan</creatorcontrib><creatorcontrib>Lin, Tsung-Hsien</creatorcontrib><creatorcontrib>Voon, Wen-Chol</creatorcontrib><creatorcontrib>Lai, Wen-Ter</creatorcontrib><creatorcontrib>Sheu, Sheng-Hsiung</creatorcontrib><creatorcontrib>Su, Ho-Ming</creatorcontrib><title>Using CHADS2 and CHA2DS2-VASc scores for mortality prediction in patients with chronic kidney disease</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><description>Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS
2
and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS
2
and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS
2
and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS
2
and CHA
2
DS
2
-VASc scores (both
P
value < 0.001) were significant predictors of CV and all-cause mortality in the multivariate analysis. Besides, in direct comparison of multivariate model, basic model + CHA
2
DS
2
-VASc score had a better additive predictive value for all-cause mortality than basic model + CHADS
2
score (
P
= 0.031). In conclusion, our study showed both of CHADS
2
and CHA
2
DS
2
-VASc scores were significant predictors for long-term CV and all-cause mortality in CKD patients and CHA
2
DS
2
-VASc score had a better predictive value than CHADS
2
score for all-cause mortality in direct comparison of multivariate model. Therefore, using CHADS
2
and CHA
2
DS
2
-VASc scores to screen CKD patients may be helpful in identifying the high-risk group with increased mortality.</description><subject>692/4022/1585</subject><subject>692/53/2422</subject><subject>692/53/2423</subject><subject>692/699/1585</subject><subject>Cardiovascular diseases</subject><subject>Fibrillation</subject><subject>Heart rate</subject><subject>Humanities and Social Sciences</subject><subject>Kidney diseases</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>multidisciplinary</subject><subject>Multivariate analysis</subject><subject>Predictions</subject><subject>Public health</subject><subject>Risk groups</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUtPGzEUhS0EahDkD3RlqRs2Q339GM9sKkUBSiWkLkLYWo7Hkxhm7GBPQPPv6zSoDxZ4c4_k7x4d-yD0GcglEFZ9TRxEXRWEkkKWJKvxCJ1SwkVBGaXH_-gJmqb0SPIRtOZQf0ITxoDzkstTZJfJ-TWe386uFhRr3-wlzbp4mC0MTiZEm3AbIu5DHHTnhhFvo22cGVzw2Hm81YOzfkj41Q0bbDYxeGfwk2u8HXHjktXJnqOTVnfJTt_mGVreXN_Pb4u7n99_zGd3heEChoK20LRCViu2yvGMbsFSIVtJKDAQWq_yLAVUjFMoCefEEtMwVkvJCRhj2Bn6dvDd7la9bUzOFXWnttH1Oo4qaKf-v_Fuo9bhRe2_ULA6G1y8GcTwvLNpUL1Lxnad9jbskqJcyLIGCZDRL-_Qx7CLPj8vUxIEg5qWmaIHysSQUrTtnzBA1L5IdShS5SJ_p6jUmJfYYSll2K9t_Gv9wdYvXnGeJA</recordid><startdate>20201103</startdate><enddate>20201103</enddate><creator>Hsu, Po-Chao</creator><creator>Lee, Wen-Hsien</creator><creator>Chen, Szu-Chia</creator><creator>Tsai, Yi-Chun</creator><creator>Chen, Ying-Chih</creator><creator>Chu, Chun-Yuan</creator><creator>Lin, Tsung-Hsien</creator><creator>Voon, Wen-Chol</creator><creator>Lai, Wen-Ter</creator><creator>Sheu, Sheng-Hsiung</creator><creator>Su, Ho-Ming</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20201103</creationdate><title>Using CHADS2 and CHA2DS2-VASc scores for mortality prediction in patients with chronic kidney disease</title><author>Hsu, Po-Chao ; 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How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS
2
and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS
2
and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS
2
and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS
2
and CHA
2
DS
2
-VASc scores (both
P
value < 0.001) were significant predictors of CV and all-cause mortality in the multivariate analysis. Besides, in direct comparison of multivariate model, basic model + CHA
2
DS
2
-VASc score had a better additive predictive value for all-cause mortality than basic model + CHADS
2
score (
P
= 0.031). In conclusion, our study showed both of CHADS
2
and CHA
2
DS
2
-VASc scores were significant predictors for long-term CV and all-cause mortality in CKD patients and CHA
2
DS
2
-VASc score had a better predictive value than CHADS
2
score for all-cause mortality in direct comparison of multivariate model. Therefore, using CHADS
2
and CHA
2
DS
2
-VASc scores to screen CKD patients may be helpful in identifying the high-risk group with increased mortality.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33144647</pmid><doi>10.1038/s41598-020-76098-y</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 692/4022/1585 692/53/2422 692/53/2423 692/699/1585 Cardiovascular diseases Fibrillation Heart rate Humanities and Social Sciences Kidney diseases Morbidity Mortality multidisciplinary Multivariate analysis Predictions Public health Risk groups Science Science (multidisciplinary) |
| title | Using CHADS2 and CHA2DS2-VASc scores for mortality prediction in patients with chronic kidney disease |
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