Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation
Purpose Living donor kidney transplant (LDKT) imparts the best graft and patient survival for most end-stage kidney disease (ESKD) patients. Yet, there remains variation in post-LDKT health-related quality of life (HRQOL). Improved understanding of post-LDKT HRQOL can help identify patients for inte...
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Veröffentlicht in: | Quality of life research 2020-09, Vol.29 (9), p.2355-2374 |
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creator | Peipert, John D. Caicedo, Juan Carlos Friedewald, John J. Abecassis, Michael M. I. Cella, David Ladner, Daniela P. Butt, Zeeshan |
description | Purpose
Living donor kidney transplant (LDKT) imparts the best graft and patient survival for most end-stage kidney disease (ESKD) patients. Yet, there remains variation in post-LDKT health-related quality of life (HRQOL). Improved understanding of post-LDKT HRQOL can help identify patients for interventions to maximize the benefit of LDKT.
Methods
For 477 LDKT recipients transplanted between 11/2007 and 08/2016, we assessed physical, mental, social, and kidney-targeted HRQOL pre-LDKT, as well as 3 and 12 months post-operatively using the SF-36, Kidney Disease Quality of Life—Short Form (KDQOL-SF), and the Functional Assessment of Cancer Therapy—Kidney Symptom Index 19 item version (FKSI-19). We then examined trajectories of each HRQOL domain using latent growth curve models (LGCMs). We also examined associations between decline in HRQOL from 3 months to 12 months post-LDKT and death censored graft failure (DCGF) using Cox regression.
Results
Large magnitude effects (
d
> 0.80) were observed from pre- to post-LDKT change on the SF-36 Vitality scale (
d
= 0.81) and the KDQOL-SF Burden of Kidney Disease (
d
= 1.05). Older age and smaller pre- to post-LDKT decreases in serum creatinine were associated with smaller improvements on many HRQOL scales across all domains in LGCMs. Higher DCGF rates were associated with worse physical [e.g., SF-36 PCS
oblique
hazard ratio (HR) 1.18; 95% CI 1.01–1.38], mental (KDQOL-SF Cognitive Function HR 1.27; 95% CI 1.00–1.62), and kidney-targeted (FKSI-19 HR: 1.18; 95% CI 1.00–1.38) HRQOL domains.
Conclusion
Clinical HRQOL monitoring may help identify patients who are most likely to have failing grafts and who would benefit from post-LDKT intervention. |
doi_str_mv | 10.1007/s11136-020-02498-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2389693595</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2389693595</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-7665654354b00c3f4ed05563be97279e43480b43439daa8b28386efb378589d73</originalsourceid><addsrcrecordid>eNp9kU1vFSEUhonR2Nurf8CFIXHjZhQ4wMDSNH40aeKmrifMcKalzsAtMCb330u9VRMXLoCT8PCeQx5CXnH2jjPWvy-cc9AdE6wtaU0nnpAdVz10Qkv7lOyY1aKzIOGMnJdyxxgzlonn5AyEMAqk2pF8nTH6Ql309JDRh6mmXGia6botNfiwYiwhRbfQW3RLve0yLq6ip_ebW0I9PqBLmJG6uWJu5Y8Qb6hPMWX6PfiIR1qzi-WwuFhdbVEvyLPZLQVfPp578u3Tx-uLL93V18-XFx-uugl6Vbtea6WVBCVHxiaYJXqmlIYRbS96ixKkYWPbwXrnzCgMGI3zCL1Rxvoe9uTtKfeQ0_2GpQ5rKBMubRBMWxkEGKstKKsa-uYf9C5tuX26UW0Cxo3krFHiRE05lZJxHg45rC4fB86GByPDycjQjAy_jLQee_L6MXobV_R_nvxW0AA4AaVdxRvMf3v_J_YnWP6W1g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2435018410</pqid></control><display><type>article</type><title>Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation</title><source>Jstor Complete Legacy</source><source>SpringerLink Journals</source><creator>Peipert, John D. ; Caicedo, Juan Carlos ; Friedewald, John J. ; Abecassis, Michael M. I. ; Cella, David ; Ladner, Daniela P. ; Butt, Zeeshan</creator><creatorcontrib>Peipert, John D. ; Caicedo, Juan Carlos ; Friedewald, John J. ; Abecassis, Michael M. I. ; Cella, David ; Ladner, Daniela P. ; Butt, Zeeshan</creatorcontrib><description>Purpose
Living donor kidney transplant (LDKT) imparts the best graft and patient survival for most end-stage kidney disease (ESKD) patients. Yet, there remains variation in post-LDKT health-related quality of life (HRQOL). Improved understanding of post-LDKT HRQOL can help identify patients for interventions to maximize the benefit of LDKT.
Methods
For 477 LDKT recipients transplanted between 11/2007 and 08/2016, we assessed physical, mental, social, and kidney-targeted HRQOL pre-LDKT, as well as 3 and 12 months post-operatively using the SF-36, Kidney Disease Quality of Life—Short Form (KDQOL-SF), and the Functional Assessment of Cancer Therapy—Kidney Symptom Index 19 item version (FKSI-19). We then examined trajectories of each HRQOL domain using latent growth curve models (LGCMs). We also examined associations between decline in HRQOL from 3 months to 12 months post-LDKT and death censored graft failure (DCGF) using Cox regression.
Results
Large magnitude effects (
d
> 0.80) were observed from pre- to post-LDKT change on the SF-36 Vitality scale (
d
= 0.81) and the KDQOL-SF Burden of Kidney Disease (
d
= 1.05). Older age and smaller pre- to post-LDKT decreases in serum creatinine were associated with smaller improvements on many HRQOL scales across all domains in LGCMs. Higher DCGF rates were associated with worse physical [e.g., SF-36 PCS
oblique
hazard ratio (HR) 1.18; 95% CI 1.01–1.38], mental (KDQOL-SF Cognitive Function HR 1.27; 95% CI 1.00–1.62), and kidney-targeted (FKSI-19 HR: 1.18; 95% CI 1.00–1.38) HRQOL domains.
Conclusion
Clinical HRQOL monitoring may help identify patients who are most likely to have failing grafts and who would benefit from post-LDKT intervention.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-020-02498-2</identifier><identifier>PMID: 32285345</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Kidney diseases ; Kidney transplants ; Medicine ; Medicine & Public Health ; Public Health ; Quality of life ; Quality of Life Research ; Sociology ; Transplants & implants</subject><ispartof>Quality of life research, 2020-09, Vol.29 (9), p.2355-2374</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Springer Nature Switzerland AG 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-7665654354b00c3f4ed05563be97279e43480b43439daa8b28386efb378589d73</citedby><cites>FETCH-LOGICAL-c375t-7665654354b00c3f4ed05563be97279e43480b43439daa8b28386efb378589d73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11136-020-02498-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11136-020-02498-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32285345$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peipert, John D.</creatorcontrib><creatorcontrib>Caicedo, Juan Carlos</creatorcontrib><creatorcontrib>Friedewald, John J.</creatorcontrib><creatorcontrib>Abecassis, Michael M. I.</creatorcontrib><creatorcontrib>Cella, David</creatorcontrib><creatorcontrib>Ladner, Daniela P.</creatorcontrib><creatorcontrib>Butt, Zeeshan</creatorcontrib><title>Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation</title><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><addtitle>Qual Life Res</addtitle><description>Purpose
Living donor kidney transplant (LDKT) imparts the best graft and patient survival for most end-stage kidney disease (ESKD) patients. Yet, there remains variation in post-LDKT health-related quality of life (HRQOL). Improved understanding of post-LDKT HRQOL can help identify patients for interventions to maximize the benefit of LDKT.
Methods
For 477 LDKT recipients transplanted between 11/2007 and 08/2016, we assessed physical, mental, social, and kidney-targeted HRQOL pre-LDKT, as well as 3 and 12 months post-operatively using the SF-36, Kidney Disease Quality of Life—Short Form (KDQOL-SF), and the Functional Assessment of Cancer Therapy—Kidney Symptom Index 19 item version (FKSI-19). We then examined trajectories of each HRQOL domain using latent growth curve models (LGCMs). We also examined associations between decline in HRQOL from 3 months to 12 months post-LDKT and death censored graft failure (DCGF) using Cox regression.
Results
Large magnitude effects (
d
> 0.80) were observed from pre- to post-LDKT change on the SF-36 Vitality scale (
d
= 0.81) and the KDQOL-SF Burden of Kidney Disease (
d
= 1.05). Older age and smaller pre- to post-LDKT decreases in serum creatinine were associated with smaller improvements on many HRQOL scales across all domains in LGCMs. Higher DCGF rates were associated with worse physical [e.g., SF-36 PCS
oblique
hazard ratio (HR) 1.18; 95% CI 1.01–1.38], mental (KDQOL-SF Cognitive Function HR 1.27; 95% CI 1.00–1.62), and kidney-targeted (FKSI-19 HR: 1.18; 95% CI 1.00–1.38) HRQOL domains.
Conclusion
Clinical HRQOL monitoring may help identify patients who are most likely to have failing grafts and who would benefit from post-LDKT intervention.</description><subject>Kidney diseases</subject><subject>Kidney transplants</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Public Health</subject><subject>Quality of life</subject><subject>Quality of Life Research</subject><subject>Sociology</subject><subject>Transplants & implants</subject><issn>0962-9343</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kU1vFSEUhonR2Nurf8CFIXHjZhQ4wMDSNH40aeKmrifMcKalzsAtMCb330u9VRMXLoCT8PCeQx5CXnH2jjPWvy-cc9AdE6wtaU0nnpAdVz10Qkv7lOyY1aKzIOGMnJdyxxgzlonn5AyEMAqk2pF8nTH6Ql309JDRh6mmXGia6botNfiwYiwhRbfQW3RLve0yLq6ip_ebW0I9PqBLmJG6uWJu5Y8Qb6hPMWX6PfiIR1qzi-WwuFhdbVEvyLPZLQVfPp578u3Tx-uLL93V18-XFx-uugl6Vbtea6WVBCVHxiaYJXqmlIYRbS96ixKkYWPbwXrnzCgMGI3zCL1Rxvoe9uTtKfeQ0_2GpQ5rKBMubRBMWxkEGKstKKsa-uYf9C5tuX26UW0Cxo3krFHiRE05lZJxHg45rC4fB86GByPDycjQjAy_jLQee_L6MXobV_R_nvxW0AA4AaVdxRvMf3v_J_YnWP6W1g</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Peipert, John D.</creator><creator>Caicedo, Juan Carlos</creator><creator>Friedewald, John J.</creator><creator>Abecassis, Michael M. I.</creator><creator>Cella, David</creator><creator>Ladner, Daniela P.</creator><creator>Butt, Zeeshan</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20200901</creationdate><title>Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation</title><author>Peipert, John D. ; Caicedo, Juan Carlos ; Friedewald, John J. ; Abecassis, Michael M. I. ; Cella, David ; Ladner, Daniela P. ; Butt, Zeeshan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-7665654354b00c3f4ed05563be97279e43480b43439daa8b28386efb378589d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Kidney diseases</topic><topic>Kidney transplants</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Public Health</topic><topic>Quality of life</topic><topic>Quality of Life Research</topic><topic>Sociology</topic><topic>Transplants & implants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peipert, John D.</creatorcontrib><creatorcontrib>Caicedo, Juan Carlos</creatorcontrib><creatorcontrib>Friedewald, John J.</creatorcontrib><creatorcontrib>Abecassis, Michael M. I.</creatorcontrib><creatorcontrib>Cella, David</creatorcontrib><creatorcontrib>Ladner, Daniela P.</creatorcontrib><creatorcontrib>Butt, Zeeshan</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peipert, John D.</au><au>Caicedo, Juan Carlos</au><au>Friedewald, John J.</au><au>Abecassis, Michael M. I.</au><au>Cella, David</au><au>Ladner, Daniela P.</au><au>Butt, Zeeshan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation</atitle><jtitle>Quality of life research</jtitle><stitle>Qual Life Res</stitle><addtitle>Qual Life Res</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>29</volume><issue>9</issue><spage>2355</spage><epage>2374</epage><pages>2355-2374</pages><issn>0962-9343</issn><eissn>1573-2649</eissn><abstract>Purpose
Living donor kidney transplant (LDKT) imparts the best graft and patient survival for most end-stage kidney disease (ESKD) patients. Yet, there remains variation in post-LDKT health-related quality of life (HRQOL). Improved understanding of post-LDKT HRQOL can help identify patients for interventions to maximize the benefit of LDKT.
Methods
For 477 LDKT recipients transplanted between 11/2007 and 08/2016, we assessed physical, mental, social, and kidney-targeted HRQOL pre-LDKT, as well as 3 and 12 months post-operatively using the SF-36, Kidney Disease Quality of Life—Short Form (KDQOL-SF), and the Functional Assessment of Cancer Therapy—Kidney Symptom Index 19 item version (FKSI-19). We then examined trajectories of each HRQOL domain using latent growth curve models (LGCMs). We also examined associations between decline in HRQOL from 3 months to 12 months post-LDKT and death censored graft failure (DCGF) using Cox regression.
Results
Large magnitude effects (
d
> 0.80) were observed from pre- to post-LDKT change on the SF-36 Vitality scale (
d
= 0.81) and the KDQOL-SF Burden of Kidney Disease (
d
= 1.05). Older age and smaller pre- to post-LDKT decreases in serum creatinine were associated with smaller improvements on many HRQOL scales across all domains in LGCMs. Higher DCGF rates were associated with worse physical [e.g., SF-36 PCS
oblique
hazard ratio (HR) 1.18; 95% CI 1.01–1.38], mental (KDQOL-SF Cognitive Function HR 1.27; 95% CI 1.00–1.62), and kidney-targeted (FKSI-19 HR: 1.18; 95% CI 1.00–1.38) HRQOL domains.
Conclusion
Clinical HRQOL monitoring may help identify patients who are most likely to have failing grafts and who would benefit from post-LDKT intervention.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32285345</pmid><doi>10.1007/s11136-020-02498-2</doi><tpages>20</tpages></addata></record> |
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source | Jstor Complete Legacy; SpringerLink Journals |
subjects | Kidney diseases Kidney transplants Medicine Medicine & Public Health Public Health Quality of life Quality of Life Research Sociology Transplants & implants |
title | Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation |
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