Impact of polypharmacy on all-cause mortality and hospitalization in incident hemodialysis patients: a cohort study
Background Polypharmacy (PP) is common in end-stage chronic renal disease patients largely due to the presence of multiple comorbid conditions. Although PP is potentially harmful, its relationship with mortality and morbidity in hemodialysis patients currently remains unclear. Methods Study design:...
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Veröffentlicht in: | Clinical and experimental nephrology 2021-11, Vol.25 (11), p.1215-1223 |
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description | Background
Polypharmacy (PP) is common in end-stage chronic renal disease patients largely due to the presence of multiple comorbid conditions. Although PP is potentially harmful, its relationship with mortality and morbidity in hemodialysis patients currently remains unclear.
Methods
Study design: cohort study.
Setting: participants: one hundred and fifty-two initial hemodialysis patients (male, 88 patients; mean age, 70.3 years) were enrolled between February 2015 and March 2018 at Nobeoka Prefectural Hospital and Chiyoda Hospital.
Predictor: patients were divided into 2 groups according to PP (6 or more drug prescriptions or less) during admission and discharge for the initiation of hemodialysis.
Outcomes: all-cause mortality and hospitalization during the mean 2.8-year follow-up.
Measurements: hazard ratios (HRs) were estimated using Cox’s model for the relationships between PP and clinical outcomes and adjusted for potential confounders. The group with 5 or less drug prescriptions was set as a reference.
Results
The number of prescribed drugs per patient averaged 7.4 at admission and 7.0 at discharge for initial hemodialysis. One hundred (65.8%) and 94 patients (61.8%) had PP at admission and discharge, respectively. During the follow-up, 20 patients died and 71 were hospitalized. PP at admission did not correlate with outcomes, whereas that at discharge correlated with all-cause hospitalization.
Conclusions
PP at discharge may be associated with clinical outcomes. However, it remains unclear whether PP is the direct cause of outcomes or is simply a marker for an increased risk of outcomes. |
doi_str_mv | 10.1007/s10157-021-02094-9 |
format | Article |
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Polypharmacy (PP) is common in end-stage chronic renal disease patients largely due to the presence of multiple comorbid conditions. Although PP is potentially harmful, its relationship with mortality and morbidity in hemodialysis patients currently remains unclear.
Methods
Study design: cohort study.
Setting: participants: one hundred and fifty-two initial hemodialysis patients (male, 88 patients; mean age, 70.3 years) were enrolled between February 2015 and March 2018 at Nobeoka Prefectural Hospital and Chiyoda Hospital.
Predictor: patients were divided into 2 groups according to PP (6 or more drug prescriptions or less) during admission and discharge for the initiation of hemodialysis.
Outcomes: all-cause mortality and hospitalization during the mean 2.8-year follow-up.
Measurements: hazard ratios (HRs) were estimated using Cox’s model for the relationships between PP and clinical outcomes and adjusted for potential confounders. The group with 5 or less drug prescriptions was set as a reference.
Results
The number of prescribed drugs per patient averaged 7.4 at admission and 7.0 at discharge for initial hemodialysis. One hundred (65.8%) and 94 patients (61.8%) had PP at admission and discharge, respectively. During the follow-up, 20 patients died and 71 were hospitalized. PP at admission did not correlate with outcomes, whereas that at discharge correlated with all-cause hospitalization.
Conclusions
PP at discharge may be associated with clinical outcomes. However, it remains unclear whether PP is the direct cause of outcomes or is simply a marker for an increased risk of outcomes.</description><identifier>ISSN: 1342-1751</identifier><identifier>EISSN: 1437-7799</identifier><identifier>DOI: 10.1007/s10157-021-02094-9</identifier><identifier>PMID: 34129133</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Aged ; Aged, 80 and over ; Clinical outcomes ; Cohort analysis ; End-stage renal disease ; Female ; Follow-Up Studies ; Hemodialysis ; Hospitalization ; Hospitalization - statistics & numerical data ; Humans ; Japan - epidemiology ; Kidney diseases ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Morbidity ; Mortality ; Nephrology ; Original Article ; Patient Admission - statistics & numerical data ; Patient Discharge - statistics & numerical data ; Patients ; Polypharmacy ; Polypharmacy - statistics & numerical data ; Proportional Hazards Models ; Prospective Studies ; Renal Dialysis ; Urology</subject><ispartof>Clinical and experimental nephrology, 2021-11, Vol.25 (11), p.1215-1223</ispartof><rights>Japanese Society of Nephrology 2021</rights><rights>2021. Japanese Society of Nephrology.</rights><rights>Japanese Society of Nephrology 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-8255279371da84a587d171a40d34911590658c6cc49b5d0cf91e962f30a699dc3</citedby><cites>FETCH-LOGICAL-c564t-8255279371da84a587d171a40d34911590658c6cc49b5d0cf91e962f30a699dc3</cites><orcidid>0000-0003-0135-599X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10157-021-02094-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10157-021-02094-9$$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/34129133$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Toida, Tatsunori</creatorcontrib><creatorcontrib>Toida, Reiko</creatorcontrib><creatorcontrib>Takahashi, Risa</creatorcontrib><creatorcontrib>Uezono, Shigehiro</creatorcontrib><creatorcontrib>Komatsu, Hiroyuki</creatorcontrib><creatorcontrib>Sato, Yuji</creatorcontrib><creatorcontrib>Fujimoto, Shouichi</creatorcontrib><title>Impact of polypharmacy on all-cause mortality and hospitalization in incident hemodialysis patients: a cohort study</title><title>Clinical and experimental nephrology</title><addtitle>Clin Exp Nephrol</addtitle><addtitle>Clin Exp Nephrol</addtitle><description>Background
Polypharmacy (PP) is common in end-stage chronic renal disease patients largely due to the presence of multiple comorbid conditions. Although PP is potentially harmful, its relationship with mortality and morbidity in hemodialysis patients currently remains unclear.
Methods
Study design: cohort study.
Setting: participants: one hundred and fifty-two initial hemodialysis patients (male, 88 patients; mean age, 70.3 years) were enrolled between February 2015 and March 2018 at Nobeoka Prefectural Hospital and Chiyoda Hospital.
Predictor: patients were divided into 2 groups according to PP (6 or more drug prescriptions or less) during admission and discharge for the initiation of hemodialysis.
Outcomes: all-cause mortality and hospitalization during the mean 2.8-year follow-up.
Measurements: hazard ratios (HRs) were estimated using Cox’s model for the relationships between PP and clinical outcomes and adjusted for potential confounders. The group with 5 or less drug prescriptions was set as a reference.
Results
The number of prescribed drugs per patient averaged 7.4 at admission and 7.0 at discharge for initial hemodialysis. One hundred (65.8%) and 94 patients (61.8%) had PP at admission and discharge, respectively. During the follow-up, 20 patients died and 71 were hospitalized. PP at admission did not correlate with outcomes, whereas that at discharge correlated with all-cause hospitalization.
Conclusions
PP at discharge may be associated with clinical outcomes. However, it remains unclear whether PP is the direct cause of outcomes or is simply a marker for an increased risk of outcomes.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Clinical outcomes</subject><subject>Cohort analysis</subject><subject>End-stage renal disease</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Hemodialysis</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Japan - epidemiology</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Nephrology</subject><subject>Original Article</subject><subject>Patient Admission - statistics & numerical data</subject><subject>Patient Discharge - statistics & numerical data</subject><subject>Patients</subject><subject>Polypharmacy</subject><subject>Polypharmacy - statistics & numerical data</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Renal Dialysis</subject><subject>Urology</subject><issn>1342-1751</issn><issn>1437-7799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtrFjEUhoMo9uYf6KIE3LgZzcllMqe7UtQWCm50HdIk45cyMxmTmcX4683Xr1roQkjI5TznTeAh5BzYR2BMfyrAQOmGcaiToWzwFTkGKXSjNeLruheSN6AVHJGTUh4YYx0qfEuOhASOIMQxKbfjbN1CU0_nNGzzzubRuo2midphaJxdS6Bjyosd4rJRO3m6S2WO-_Nvu8TKxf1w0YdpobswJh_tsJVY6Fzr9bJcUktd2tUQWpbVb2fkTW-HEt49rafkx5fP369vmrtvX2-vr-4ap1q5NB1XimsUGrztpFWd9qDBSuaFRACFrFWda52TeK88cz1CwJb3gtkW0TtxSj4ccuecfq2hLGaMxYVhsFNIazFcSRCca8kr-v4F-pDWPNXfVUqrthUadaX4gXI5lZJDb-YcR5s3A8zslZiDElOVmEclBmvTxVP0ej8G_6_lr4MKiANQamn6GfLz2_-J_QPN15cb</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Toida, Tatsunori</creator><creator>Toida, Reiko</creator><creator>Takahashi, Risa</creator><creator>Uezono, Shigehiro</creator><creator>Komatsu, Hiroyuki</creator><creator>Sato, Yuji</creator><creator>Fujimoto, Shouichi</creator><general>Springer Singapore</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>7QP</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>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0135-599X</orcidid></search><sort><creationdate>20211101</creationdate><title>Impact of polypharmacy on all-cause mortality and hospitalization in incident hemodialysis patients: a cohort study</title><author>Toida, Tatsunori ; Toida, Reiko ; Takahashi, Risa ; Uezono, Shigehiro ; Komatsu, Hiroyuki ; Sato, Yuji ; Fujimoto, Shouichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-8255279371da84a587d171a40d34911590658c6cc49b5d0cf91e962f30a699dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Clinical outcomes</topic><topic>Cohort analysis</topic><topic>End-stage renal disease</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Hemodialysis</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Japan - epidemiology</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>Nephrology</topic><topic>Original Article</topic><topic>Patient Admission - statistics & numerical data</topic><topic>Patient Discharge - statistics & numerical data</topic><topic>Patients</topic><topic>Polypharmacy</topic><topic>Polypharmacy - statistics & numerical data</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>Renal Dialysis</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toida, Tatsunori</creatorcontrib><creatorcontrib>Toida, Reiko</creatorcontrib><creatorcontrib>Takahashi, Risa</creatorcontrib><creatorcontrib>Uezono, Shigehiro</creatorcontrib><creatorcontrib>Komatsu, Hiroyuki</creatorcontrib><creatorcontrib>Sato, Yuji</creatorcontrib><creatorcontrib>Fujimoto, Shouichi</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>Calcium & Calcified Tissue Abstracts</collection><collection>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 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 & 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>Clinical and experimental nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toida, Tatsunori</au><au>Toida, Reiko</au><au>Takahashi, Risa</au><au>Uezono, Shigehiro</au><au>Komatsu, Hiroyuki</au><au>Sato, Yuji</au><au>Fujimoto, Shouichi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of polypharmacy on all-cause mortality and hospitalization in incident hemodialysis patients: a cohort study</atitle><jtitle>Clinical and experimental nephrology</jtitle><stitle>Clin Exp Nephrol</stitle><addtitle>Clin Exp Nephrol</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>25</volume><issue>11</issue><spage>1215</spage><epage>1223</epage><pages>1215-1223</pages><issn>1342-1751</issn><eissn>1437-7799</eissn><abstract>Background
Polypharmacy (PP) is common in end-stage chronic renal disease patients largely due to the presence of multiple comorbid conditions. Although PP is potentially harmful, its relationship with mortality and morbidity in hemodialysis patients currently remains unclear.
Methods
Study design: cohort study.
Setting: participants: one hundred and fifty-two initial hemodialysis patients (male, 88 patients; mean age, 70.3 years) were enrolled between February 2015 and March 2018 at Nobeoka Prefectural Hospital and Chiyoda Hospital.
Predictor: patients were divided into 2 groups according to PP (6 or more drug prescriptions or less) during admission and discharge for the initiation of hemodialysis.
Outcomes: all-cause mortality and hospitalization during the mean 2.8-year follow-up.
Measurements: hazard ratios (HRs) were estimated using Cox’s model for the relationships between PP and clinical outcomes and adjusted for potential confounders. The group with 5 or less drug prescriptions was set as a reference.
Results
The number of prescribed drugs per patient averaged 7.4 at admission and 7.0 at discharge for initial hemodialysis. One hundred (65.8%) and 94 patients (61.8%) had PP at admission and discharge, respectively. During the follow-up, 20 patients died and 71 were hospitalized. PP at admission did not correlate with outcomes, whereas that at discharge correlated with all-cause hospitalization.
Conclusions
PP at discharge may be associated with clinical outcomes. However, it remains unclear whether PP is the direct cause of outcomes or is simply a marker for an increased risk of outcomes.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><pmid>34129133</pmid><doi>10.1007/s10157-021-02094-9</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-0135-599X</orcidid></addata></record> |
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subjects | Aged Aged, 80 and over Clinical outcomes Cohort analysis End-stage renal disease Female Follow-Up Studies Hemodialysis Hospitalization Hospitalization - statistics & numerical data Humans Japan - epidemiology Kidney diseases Male Medicine Medicine & Public Health Middle Aged Morbidity Mortality Nephrology Original Article Patient Admission - statistics & numerical data Patient Discharge - statistics & numerical data Patients Polypharmacy Polypharmacy - statistics & numerical data Proportional Hazards Models Prospective Studies Renal Dialysis Urology |
title | Impact of polypharmacy on all-cause mortality and hospitalization in incident hemodialysis patients: a cohort study |
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