Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients

Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients. The medical risk factors associated with increased mortality in hemodialysis (HD) patients are well known, but the psychosocial factors that may affect outcome have not been clearly def...

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Veröffentlicht in:Kidney international 2000-05, Vol.57 (5), p.2093-2098
Hauptverfasser: Kimmel, Paul L., Peterson, Rolf A., Weihs, Karen L., Simmens, Samuel J., Alleyne, Sylvan, Cruz, Illuminado, Veis, Judith H.
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container_end_page 2098
container_issue 5
container_start_page 2093
container_title Kidney international
container_volume 57
creator Kimmel, Paul L.
Peterson, Rolf A.
Weihs, Karen L.
Simmens, Samuel J.
Alleyne, Sylvan
Cruz, Illuminado
Veis, Judith H.
description Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients. The medical risk factors associated with increased mortality in hemodialysis (HD) patients are well known, but the psychosocial factors that may affect outcome have not been clearly defined. One key psychosocial factor, depression, has been considered a predictor of mortality, but previous studies have provided equivocal results regarding the association. We sought to determine whether depressive affect is associated with mortality in a longitudinal study of end-stage renal disease (ESRD) patients treated with HD, using multiple assessments over time. Two hundred ninety-five outpatients with ESRD treated with HD were recruited from three outpatient dialysis units in Washington D.C. to participate in a prospective cohort study with longitudinal follow-up. Patients were assessed every six months for up to two years using the Beck Depression Inventory (BDI), age, serum albumin concentration, Kt/V, and protein catabolic rate (PCR). A severity index, previously demonstrated to be a mortality marker, was used to grade medical comorbidity. The type of dialyzer with which the patient was treated was noted. Patient mortality status was tracked for a minimum of 20 and a maximum of 60 months after the first interview. Cox proportional hazards models, treating depression scores as time-varying covariates in a univariable analysis, and controlling for age, medical comorbidity, albumin concentration, and dialyzer type and site in multivariable models, were used to assess the relative mortality risk. The mean (± SD) age of our population at initial interview was 54.6 ± 14.1 years. The mean PCR was 1.06 ± 0.27 g/kg/day, and the mean Kt/V was 1.2 ± 0.4 at baseline, suggesting that the patients were well nourished and dialyzed comparably to contemporary U.S. patients. The patients' mean BDI at enrollment was 11.4 ± 8.1, in the range of mild depression. Patients' baseline level of depression was not a significant predictor of mortality at 38.6 months of follow-up. In contrast, when depression was treated as a time-varying covariate based on periodic follow-up assessments, the level of depressive affect was significantly associated with mortality in both single variable and multivariable analyses. Higher levels of depressive affect in ESRD patients treated with HD are associated with increased mortality. The effects of depression on patient survival are of the sa
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The medical risk factors associated with increased mortality in hemodialysis (HD) patients are well known, but the psychosocial factors that may affect outcome have not been clearly defined. One key psychosocial factor, depression, has been considered a predictor of mortality, but previous studies have provided equivocal results regarding the association. We sought to determine whether depressive affect is associated with mortality in a longitudinal study of end-stage renal disease (ESRD) patients treated with HD, using multiple assessments over time. Two hundred ninety-five outpatients with ESRD treated with HD were recruited from three outpatient dialysis units in Washington D.C. to participate in a prospective cohort study with longitudinal follow-up. Patients were assessed every six months for up to two years using the Beck Depression Inventory (BDI), age, serum albumin concentration, Kt/V, and protein catabolic rate (PCR). A severity index, previously demonstrated to be a mortality marker, was used to grade medical comorbidity. The type of dialyzer with which the patient was treated was noted. Patient mortality status was tracked for a minimum of 20 and a maximum of 60 months after the first interview. Cox proportional hazards models, treating depression scores as time-varying covariates in a univariable analysis, and controlling for age, medical comorbidity, albumin concentration, and dialyzer type and site in multivariable models, were used to assess the relative mortality risk. The mean (± SD) age of our population at initial interview was 54.6 ± 14.1 years. The mean PCR was 1.06 ± 0.27 g/kg/day, and the mean Kt/V was 1.2 ± 0.4 at baseline, suggesting that the patients were well nourished and dialyzed comparably to contemporary U.S. patients. The patients' mean BDI at enrollment was 11.4 ± 8.1, in the range of mild depression. 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Dialysis management ; end-stage renal disease ; Female ; hemodialysis ; Humans ; Intensive care medicine ; Kidney Failure, Chronic - mortality ; Kidney Failure, Chronic - psychology ; Longitudinal Studies ; Male ; Medical sciences ; Middle Aged ; mortality and dialysis ; Renal Dialysis - mortality ; Renal Dialysis - psychology</subject><ispartof>Kidney international, 2000-05, Vol.57 (5), p.2093-2098</ispartof><rights>2000 International Society of Nephrology</rights><rights>2000 INIST-CNRS</rights><rights>Copyright Nature Publishing Group May 2000</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-732920eb82dc3e5a10cab9fbf90e8a710733f172262bb417f7e19b020fdbb14a3</citedby><cites>FETCH-LOGICAL-c498t-732920eb82dc3e5a10cab9fbf90e8a710733f172262bb417f7e19b020fdbb14a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/210138985?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=1352698$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10792629$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kimmel, Paul L.</creatorcontrib><creatorcontrib>Peterson, Rolf A.</creatorcontrib><creatorcontrib>Weihs, Karen L.</creatorcontrib><creatorcontrib>Simmens, Samuel J.</creatorcontrib><creatorcontrib>Alleyne, Sylvan</creatorcontrib><creatorcontrib>Cruz, Illuminado</creatorcontrib><creatorcontrib>Veis, Judith H.</creatorcontrib><title>Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients</title><title>Kidney international</title><addtitle>Kidney Int</addtitle><description>Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients. The medical risk factors associated with increased mortality in hemodialysis (HD) patients are well known, but the psychosocial factors that may affect outcome have not been clearly defined. One key psychosocial factor, depression, has been considered a predictor of mortality, but previous studies have provided equivocal results regarding the association. We sought to determine whether depressive affect is associated with mortality in a longitudinal study of end-stage renal disease (ESRD) patients treated with HD, using multiple assessments over time. Two hundred ninety-five outpatients with ESRD treated with HD were recruited from three outpatient dialysis units in Washington D.C. to participate in a prospective cohort study with longitudinal follow-up. Patients were assessed every six months for up to two years using the Beck Depression Inventory (BDI), age, serum albumin concentration, Kt/V, and protein catabolic rate (PCR). A severity index, previously demonstrated to be a mortality marker, was used to grade medical comorbidity. The type of dialyzer with which the patient was treated was noted. Patient mortality status was tracked for a minimum of 20 and a maximum of 60 months after the first interview. Cox proportional hazards models, treating depression scores as time-varying covariates in a univariable analysis, and controlling for age, medical comorbidity, albumin concentration, and dialyzer type and site in multivariable models, were used to assess the relative mortality risk. The mean (± SD) age of our population at initial interview was 54.6 ± 14.1 years. The mean PCR was 1.06 ± 0.27 g/kg/day, and the mean Kt/V was 1.2 ± 0.4 at baseline, suggesting that the patients were well nourished and dialyzed comparably to contemporary U.S. patients. The patients' mean BDI at enrollment was 11.4 ± 8.1, in the range of mild depression. Patients' baseline level of depression was not a significant predictor of mortality at 38.6 months of follow-up. In contrast, when depression was treated as a time-varying covariate based on periodic follow-up assessments, the level of depressive affect was significantly associated with mortality in both single variable and multivariable analyses. Higher levels of depressive affect in ESRD patients treated with HD are associated with increased mortality. The effects of depression on patient survival are of the same order of magnitude as medical risk factors. Our findings using both controls for factors possibly confounded with depressive affect in patients with ESRD and time-varying covariate analyses may explain the inconsistent results of previous studies of depression and mortality in ESRD patients. Time-varying analyses in longitudinal studies may add power to defining and sensitivity to establishing the association of psychosocial factors and survival in ESRD patients. 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Dialysis management</subject><subject>end-stage renal disease</subject><subject>Female</subject><subject>hemodialysis</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Kidney Failure, Chronic - mortality</subject><subject>Kidney Failure, Chronic - psychology</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>mortality and dialysis</subject><subject>Renal Dialysis - mortality</subject><subject>Renal Dialysis - psychology</subject><issn>0085-2538</issn><issn>1523-1755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkUtv1DAUhS0EokPhJ4AshNgl-BFP7CVUPCoVdQNry3FuqEdOnNoO6vx7nGZUEJsuLFs63z3yPQchTElNSbP_cKipYLyirRA1I4TU5QhV3z1BuwfhKdoRIkXFBJdn6EVKhwJJxclzdEZJq9ieqR26_b747GYPeASTlggjTDnhMOAe5ggpuTDh8uidzXgMMRvv8hG7CRvsw_TL5aV3k_E4lcdxnbM3MUzO4hsYQ--MPyZX_JY8m-xW75fo2WB8glen-xz9_PL5x8W36ur66-XFx6vKNkrmquVMMQKdZL3lIAwl1nRq6AZFQJq2bMD5QFtW1ui6hrZDC1R1hJGh7zraGH6O3m--cwy3C6SsR5cseG8mCEvSq4XkYl_At_-Bh7DEslPSjBLKpZKiQHKDbAwpRRj0HN1o4lFTotdO9EGv0es1er12ou870Xdl9M3Jf-lG6P8Z3EoowLsTYJI1fohmsi795bhgeyUL9nrDJpNLUQ960ygqGl70T5sOJdXfDqJOtiRuS3cRbNZ9cI9_9g-srrZf</recordid><startdate>20000501</startdate><enddate>20000501</enddate><creator>Kimmel, Paul L.</creator><creator>Peterson, Rolf A.</creator><creator>Weihs, Karen L.</creator><creator>Simmens, Samuel J.</creator><creator>Alleyne, Sylvan</creator><creator>Cruz, Illuminado</creator><creator>Veis, Judith H.</creator><general>Elsevier Inc</general><general>Nature Publishing</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><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>7QP</scope><scope>7RV</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>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20000501</creationdate><title>Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients</title><author>Kimmel, Paul L. ; Peterson, Rolf A. ; Weihs, Karen L. ; Simmens, Samuel J. ; Alleyne, Sylvan ; Cruz, Illuminado ; Veis, Judith H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-732920eb82dc3e5a10cab9fbf90e8a710733f172262bb417f7e19b020fdbb14a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Beck Depression Inventory</topic><topic>Biological and medical sciences</topic><topic>chronic renal disease</topic><topic>depression</topic><topic>Depression - complications</topic><topic>Emergency and intensive care: renal failure. Dialysis management</topic><topic>end-stage renal disease</topic><topic>Female</topic><topic>hemodialysis</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Kidney Failure, Chronic - mortality</topic><topic>Kidney Failure, Chronic - psychology</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>mortality and dialysis</topic><topic>Renal Dialysis - mortality</topic><topic>Renal Dialysis - psychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kimmel, Paul L.</creatorcontrib><creatorcontrib>Peterson, Rolf A.</creatorcontrib><creatorcontrib>Weihs, Karen L.</creatorcontrib><creatorcontrib>Simmens, Samuel J.</creatorcontrib><creatorcontrib>Alleyne, Sylvan</creatorcontrib><creatorcontrib>Cruz, Illuminado</creatorcontrib><creatorcontrib>Veis, Judith H.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><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>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; 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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; Allied Health Premium</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 Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Kidney international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kimmel, Paul L.</au><au>Peterson, Rolf A.</au><au>Weihs, Karen L.</au><au>Simmens, Samuel J.</au><au>Alleyne, Sylvan</au><au>Cruz, Illuminado</au><au>Veis, Judith H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients</atitle><jtitle>Kidney international</jtitle><addtitle>Kidney Int</addtitle><date>2000-05-01</date><risdate>2000</risdate><volume>57</volume><issue>5</issue><spage>2093</spage><epage>2098</epage><pages>2093-2098</pages><issn>0085-2538</issn><eissn>1523-1755</eissn><coden>KDYIA5</coden><abstract>Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients. The medical risk factors associated with increased mortality in hemodialysis (HD) patients are well known, but the psychosocial factors that may affect outcome have not been clearly defined. One key psychosocial factor, depression, has been considered a predictor of mortality, but previous studies have provided equivocal results regarding the association. We sought to determine whether depressive affect is associated with mortality in a longitudinal study of end-stage renal disease (ESRD) patients treated with HD, using multiple assessments over time. Two hundred ninety-five outpatients with ESRD treated with HD were recruited from three outpatient dialysis units in Washington D.C. to participate in a prospective cohort study with longitudinal follow-up. Patients were assessed every six months for up to two years using the Beck Depression Inventory (BDI), age, serum albumin concentration, Kt/V, and protein catabolic rate (PCR). A severity index, previously demonstrated to be a mortality marker, was used to grade medical comorbidity. The type of dialyzer with which the patient was treated was noted. Patient mortality status was tracked for a minimum of 20 and a maximum of 60 months after the first interview. Cox proportional hazards models, treating depression scores as time-varying covariates in a univariable analysis, and controlling for age, medical comorbidity, albumin concentration, and dialyzer type and site in multivariable models, were used to assess the relative mortality risk. The mean (± SD) age of our population at initial interview was 54.6 ± 14.1 years. The mean PCR was 1.06 ± 0.27 g/kg/day, and the mean Kt/V was 1.2 ± 0.4 at baseline, suggesting that the patients were well nourished and dialyzed comparably to contemporary U.S. patients. The patients' mean BDI at enrollment was 11.4 ± 8.1, in the range of mild depression. Patients' baseline level of depression was not a significant predictor of mortality at 38.6 months of follow-up. In contrast, when depression was treated as a time-varying covariate based on periodic follow-up assessments, the level of depressive affect was significantly associated with mortality in both single variable and multivariable analyses. Higher levels of depressive affect in ESRD patients treated with HD are associated with increased mortality. The effects of depression on patient survival are of the same order of magnitude as medical risk factors. Our findings using both controls for factors possibly confounded with depressive affect in patients with ESRD and time-varying covariate analyses may explain the inconsistent results of previous studies of depression and mortality in ESRD patients. Time-varying analyses in longitudinal studies may add power to defining and sensitivity to establishing the association of psychosocial factors and survival in ESRD patients. The mechanism underlying the relationship of depression and survival and the effect of interventions to improve depression in HD outpatients and general medical inpatients should be studied.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>10792629</pmid><doi>10.1046/j.1523-1755.2000.00059.x</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Beck Depression Inventory
Biological and medical sciences
chronic renal disease
depression
Depression - complications
Emergency and intensive care: renal failure. Dialysis management
end-stage renal disease
Female
hemodialysis
Humans
Intensive care medicine
Kidney Failure, Chronic - mortality
Kidney Failure, Chronic - psychology
Longitudinal Studies
Male
Medical sciences
Middle Aged
mortality and dialysis
Renal Dialysis - mortality
Renal Dialysis - psychology
title Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients
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