Interactive exploration of adverse events and multimorbidity in CKD
Persons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality and multimorbidity. A detailed overview of adverse event types and rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration of a...
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creator | Steinbrenner, Inga Kotsis, Fruzsina Kosch, Robin Meiselbach, Heike Bärthlein, Barbara Stockmann, Helena Lipovsek, Jan Zacharias, Helena U Altenbuchinger, Michael Dienemann, Thomas Wytopil, Monika Bächle, Helena Sommerer, Claudia Titze, Stephanie Weigel, Anke Weissensteiner, Hansi Schönherr, Sebastian Forer, Lukas Kurz, Nadine S Menne, Jan Schlieper, Georg Schneider, Markus P Schaeffner, Elke Kielstein, Jan T Sitter, Thomas Floege, Jürgen Wanner, Christoph Kronenberg, Florian Köttgen, Anna Busch, Martin Krane, Vera Schmid, Matthias Eckardt, Kai-Uwe Schultheiss, Ulla T |
description | Persons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality and multimorbidity. A detailed overview of adverse event types and rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration of adverse events and their combinations in the prospective, observational German CKD (GCKD) study.
The GCKD study enrolled 5217 participants under regular nephrological care with an estimated glomerular filtration rate of 30-60 or >60 mL/min/1.73 m2 and an overt proteinuria. Cardiovascular, cerebrovascular and peripheral vascular, kidney, infection, and cancer events, as well as deaths were adjudicated following a standard operation procedure. We summarized these time-to-event data points for exploration in interactive graphs within an R shiny app. Multivariable adjusted Cox models for time to first event were fitted. Cumulative incidence functions, Kaplan-Meier curves and intersection plots were used to display main adverse events and their combinations by sex and CKD etiology.
Over a median of 6.5 years, 10 271 events occurred in 2947 participants (56.5%), of which 680 participants (13.0%) died. The new publicly available interactive platform enables readers to scrutinize adverse events and their combinations as well as mortality trends as a gateway to better understand multimorbidity in CKD: incident rates per 1000 patient-years varied by event type, CKD etiology and baseline characteristics. Incidence rates for the most frequent events and their recurrence were 113.6 (cardiovascular), 75.0 (kidney) and 66.0 (infection). Participants with presumed diabetic kidney disease and men were more prone to experiencing events.
This comprehensive explorative tool to visualize adverse events (https://www.gckd.org/studienhintergrund/previous-study-results/event-analysis/), their combination, mortality and multimorbidity among persons with CKD may serve as a valuable resourec for patient care, identification of high-risk groups, health services and public health policy planning. |
doi_str_mv | 10.1093/ndt/gfae092 |
format | Article |
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The GCKD study enrolled 5217 participants under regular nephrological care with an estimated glomerular filtration rate of 30-60 or >60 mL/min/1.73 m2 and an overt proteinuria. Cardiovascular, cerebrovascular and peripheral vascular, kidney, infection, and cancer events, as well as deaths were adjudicated following a standard operation procedure. We summarized these time-to-event data points for exploration in interactive graphs within an R shiny app. Multivariable adjusted Cox models for time to first event were fitted. Cumulative incidence functions, Kaplan-Meier curves and intersection plots were used to display main adverse events and their combinations by sex and CKD etiology.
Over a median of 6.5 years, 10 271 events occurred in 2947 participants (56.5%), of which 680 participants (13.0%) died. The new publicly available interactive platform enables readers to scrutinize adverse events and their combinations as well as mortality trends as a gateway to better understand multimorbidity in CKD: incident rates per 1000 patient-years varied by event type, CKD etiology and baseline characteristics. Incidence rates for the most frequent events and their recurrence were 113.6 (cardiovascular), 75.0 (kidney) and 66.0 (infection). Participants with presumed diabetic kidney disease and men were more prone to experiencing events.
This comprehensive explorative tool to visualize adverse events (https://www.gckd.org/studienhintergrund/previous-study-results/event-analysis/), their combination, mortality and multimorbidity among persons with CKD may serve as a valuable resourec for patient care, identification of high-risk groups, health services and public health policy planning.</description><identifier>ISSN: 0931-0509</identifier><identifier>ISSN: 1460-2385</identifier><identifier>EISSN: 1460-2385</identifier><identifier>DOI: 10.1093/ndt/gfae092</identifier><identifier>PMID: 38664006</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Aged ; Female ; Follow-Up Studies ; Germany - epidemiology ; Glomerular Filtration Rate ; Humans ; Incidence ; Male ; Middle Aged ; Multimorbidity ; Original ; Prognosis ; Prospective Studies ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - epidemiology ; Risk Factors ; Survival Rate</subject><ispartof>Nephrology, dialysis, transplantation, 2024-11, Vol.39 (12), p.2016-2024</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the ERA.</rights><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the ERA. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c233t-f35855049d1e5ccfd8dca87bb38d1918168193a97e759f58a77ee964b9535d7b3</cites><orcidid>0000-0003-2229-1120 ; 0000-0002-0934-7620 ; 0000-0002-2871-8669 ; 0000-0001-5080-0979 ; 0000-0001-9507-5301 ; 0000-0002-5265-8088 ; 0000-0003-0851-5773 ; 0000-0002-1583-7191 ; 0000-0003-3823-0920 ; 0000-0003-2139-7329 ; 0000-0003-1102-6532 ; 0000-0002-7889-6156 ; 0000-0002-7541-5310</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38664006$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steinbrenner, Inga</creatorcontrib><creatorcontrib>Kotsis, Fruzsina</creatorcontrib><creatorcontrib>Kosch, Robin</creatorcontrib><creatorcontrib>Meiselbach, Heike</creatorcontrib><creatorcontrib>Bärthlein, Barbara</creatorcontrib><creatorcontrib>Stockmann, Helena</creatorcontrib><creatorcontrib>Lipovsek, Jan</creatorcontrib><creatorcontrib>Zacharias, Helena U</creatorcontrib><creatorcontrib>Altenbuchinger, Michael</creatorcontrib><creatorcontrib>Dienemann, Thomas</creatorcontrib><creatorcontrib>Wytopil, Monika</creatorcontrib><creatorcontrib>Bächle, Helena</creatorcontrib><creatorcontrib>Sommerer, Claudia</creatorcontrib><creatorcontrib>Titze, Stephanie</creatorcontrib><creatorcontrib>Weigel, Anke</creatorcontrib><creatorcontrib>Weissensteiner, Hansi</creatorcontrib><creatorcontrib>Schönherr, Sebastian</creatorcontrib><creatorcontrib>Forer, Lukas</creatorcontrib><creatorcontrib>Kurz, Nadine S</creatorcontrib><creatorcontrib>Menne, Jan</creatorcontrib><creatorcontrib>Schlieper, Georg</creatorcontrib><creatorcontrib>Schneider, Markus P</creatorcontrib><creatorcontrib>Schaeffner, Elke</creatorcontrib><creatorcontrib>Kielstein, Jan T</creatorcontrib><creatorcontrib>Sitter, Thomas</creatorcontrib><creatorcontrib>Floege, Jürgen</creatorcontrib><creatorcontrib>Wanner, Christoph</creatorcontrib><creatorcontrib>Kronenberg, Florian</creatorcontrib><creatorcontrib>Köttgen, Anna</creatorcontrib><creatorcontrib>Busch, Martin</creatorcontrib><creatorcontrib>Krane, Vera</creatorcontrib><creatorcontrib>Schmid, Matthias</creatorcontrib><creatorcontrib>Eckardt, Kai-Uwe</creatorcontrib><creatorcontrib>Schultheiss, Ulla T</creatorcontrib><creatorcontrib>GCKD Investigators</creatorcontrib><creatorcontrib>the GCKD Investigators</creatorcontrib><title>Interactive exploration of adverse events and multimorbidity in CKD</title><title>Nephrology, dialysis, transplantation</title><addtitle>Nephrol Dial Transplant</addtitle><description>Persons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality and multimorbidity. A detailed overview of adverse event types and rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration of adverse events and their combinations in the prospective, observational German CKD (GCKD) study.
The GCKD study enrolled 5217 participants under regular nephrological care with an estimated glomerular filtration rate of 30-60 or >60 mL/min/1.73 m2 and an overt proteinuria. Cardiovascular, cerebrovascular and peripheral vascular, kidney, infection, and cancer events, as well as deaths were adjudicated following a standard operation procedure. We summarized these time-to-event data points for exploration in interactive graphs within an R shiny app. Multivariable adjusted Cox models for time to first event were fitted. Cumulative incidence functions, Kaplan-Meier curves and intersection plots were used to display main adverse events and their combinations by sex and CKD etiology.
Over a median of 6.5 years, 10 271 events occurred in 2947 participants (56.5%), of which 680 participants (13.0%) died. The new publicly available interactive platform enables readers to scrutinize adverse events and their combinations as well as mortality trends as a gateway to better understand multimorbidity in CKD: incident rates per 1000 patient-years varied by event type, CKD etiology and baseline characteristics. Incidence rates for the most frequent events and their recurrence were 113.6 (cardiovascular), 75.0 (kidney) and 66.0 (infection). Participants with presumed diabetic kidney disease and men were more prone to experiencing events.
This comprehensive explorative tool to visualize adverse events (https://www.gckd.org/studienhintergrund/previous-study-results/event-analysis/), their combination, mortality and multimorbidity among persons with CKD may serve as a valuable resourec for patient care, identification of high-risk groups, health services and public health policy planning.</description><subject>Aged</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Germany - epidemiology</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Incidence</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multimorbidity</subject><subject>Original</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Risk Factors</subject><subject>Survival Rate</subject><issn>0931-0509</issn><issn>1460-2385</issn><issn>1460-2385</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkM1LAzEQxYMotlZP3mWPgqxNms0mOYmsX8WCFz2H7CZbI7tJTbLF_vdGWoueBub9ePPmAXCO4DWCHE-titNlKzXkswMwRkUJ8xlm5BCMk4pySCAfgZMQPiBMCKXHYIRZWRYQlmNQzW3UXjbRrHWmv1ad8zIaZzPXZlKttQ9pvdY2hkxalfVDF03vfG2UiZvM2Kx6vjsFR63sgj7bzQl4e7h_rZ7yxcvjvLpd5M0M45i3mDBCYMEV0qRpWsVUIxmta8wU4oihkiGOJaeaEt4SJinVmpdFzQkmitZ4Am62vquh7rVqUiovO7Hyppd-I5w04r9izbtYurVAiPAy_Z4cLncO3n0OOkTRm9DorpNWuyEIDAvKC8J5kdCrLdp4F4LX7f4OguKnd5F6F7veE33xN9qe_S0afwMa3YCd</recordid><startdate>20241127</startdate><enddate>20241127</enddate><creator>Steinbrenner, Inga</creator><creator>Kotsis, Fruzsina</creator><creator>Kosch, Robin</creator><creator>Meiselbach, Heike</creator><creator>Bärthlein, Barbara</creator><creator>Stockmann, Helena</creator><creator>Lipovsek, Jan</creator><creator>Zacharias, Helena U</creator><creator>Altenbuchinger, Michael</creator><creator>Dienemann, Thomas</creator><creator>Wytopil, Monika</creator><creator>Bächle, Helena</creator><creator>Sommerer, Claudia</creator><creator>Titze, Stephanie</creator><creator>Weigel, Anke</creator><creator>Weissensteiner, Hansi</creator><creator>Schönherr, Sebastian</creator><creator>Forer, Lukas</creator><creator>Kurz, Nadine S</creator><creator>Menne, Jan</creator><creator>Schlieper, Georg</creator><creator>Schneider, Markus P</creator><creator>Schaeffner, Elke</creator><creator>Kielstein, Jan T</creator><creator>Sitter, Thomas</creator><creator>Floege, Jürgen</creator><creator>Wanner, Christoph</creator><creator>Kronenberg, Florian</creator><creator>Köttgen, Anna</creator><creator>Busch, Martin</creator><creator>Krane, Vera</creator><creator>Schmid, Matthias</creator><creator>Eckardt, Kai-Uwe</creator><creator>Schultheiss, Ulla T</creator><general>Oxford University Press</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2229-1120</orcidid><orcidid>https://orcid.org/0000-0002-0934-7620</orcidid><orcidid>https://orcid.org/0000-0002-2871-8669</orcidid><orcidid>https://orcid.org/0000-0001-5080-0979</orcidid><orcidid>https://orcid.org/0000-0001-9507-5301</orcidid><orcidid>https://orcid.org/0000-0002-5265-8088</orcidid><orcidid>https://orcid.org/0000-0003-0851-5773</orcidid><orcidid>https://orcid.org/0000-0002-1583-7191</orcidid><orcidid>https://orcid.org/0000-0003-3823-0920</orcidid><orcidid>https://orcid.org/0000-0003-2139-7329</orcidid><orcidid>https://orcid.org/0000-0003-1102-6532</orcidid><orcidid>https://orcid.org/0000-0002-7889-6156</orcidid><orcidid>https://orcid.org/0000-0002-7541-5310</orcidid></search><sort><creationdate>20241127</creationdate><title>Interactive exploration of adverse events and multimorbidity in CKD</title><author>Steinbrenner, Inga ; Kotsis, Fruzsina ; Kosch, Robin ; Meiselbach, Heike ; Bärthlein, Barbara ; Stockmann, Helena ; Lipovsek, Jan ; Zacharias, Helena U ; Altenbuchinger, Michael ; Dienemann, Thomas ; Wytopil, Monika ; Bächle, Helena ; Sommerer, Claudia ; Titze, Stephanie ; Weigel, Anke ; Weissensteiner, Hansi ; Schönherr, Sebastian ; Forer, Lukas ; Kurz, Nadine S ; Menne, Jan ; Schlieper, Georg ; Schneider, Markus P ; Schaeffner, Elke ; Kielstein, Jan T ; Sitter, Thomas ; Floege, Jürgen ; Wanner, Christoph ; Kronenberg, Florian ; Köttgen, Anna ; Busch, Martin ; Krane, Vera ; Schmid, Matthias ; Eckardt, Kai-Uwe ; Schultheiss, Ulla T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c233t-f35855049d1e5ccfd8dca87bb38d1918168193a97e759f58a77ee964b9535d7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Germany - 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A detailed overview of adverse event types and rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration of adverse events and their combinations in the prospective, observational German CKD (GCKD) study.
The GCKD study enrolled 5217 participants under regular nephrological care with an estimated glomerular filtration rate of 30-60 or >60 mL/min/1.73 m2 and an overt proteinuria. Cardiovascular, cerebrovascular and peripheral vascular, kidney, infection, and cancer events, as well as deaths were adjudicated following a standard operation procedure. We summarized these time-to-event data points for exploration in interactive graphs within an R shiny app. Multivariable adjusted Cox models for time to first event were fitted. Cumulative incidence functions, Kaplan-Meier curves and intersection plots were used to display main adverse events and their combinations by sex and CKD etiology.
Over a median of 6.5 years, 10 271 events occurred in 2947 participants (56.5%), of which 680 participants (13.0%) died. The new publicly available interactive platform enables readers to scrutinize adverse events and their combinations as well as mortality trends as a gateway to better understand multimorbidity in CKD: incident rates per 1000 patient-years varied by event type, CKD etiology and baseline characteristics. Incidence rates for the most frequent events and their recurrence were 113.6 (cardiovascular), 75.0 (kidney) and 66.0 (infection). Participants with presumed diabetic kidney disease and men were more prone to experiencing events.
This comprehensive explorative tool to visualize adverse events (https://www.gckd.org/studienhintergrund/previous-study-results/event-analysis/), their combination, mortality and multimorbidity among persons with CKD may serve as a valuable resourec for patient care, identification of high-risk groups, health services and public health policy planning.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>38664006</pmid><doi>10.1093/ndt/gfae092</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-2229-1120</orcidid><orcidid>https://orcid.org/0000-0002-0934-7620</orcidid><orcidid>https://orcid.org/0000-0002-2871-8669</orcidid><orcidid>https://orcid.org/0000-0001-5080-0979</orcidid><orcidid>https://orcid.org/0000-0001-9507-5301</orcidid><orcidid>https://orcid.org/0000-0002-5265-8088</orcidid><orcidid>https://orcid.org/0000-0003-0851-5773</orcidid><orcidid>https://orcid.org/0000-0002-1583-7191</orcidid><orcidid>https://orcid.org/0000-0003-3823-0920</orcidid><orcidid>https://orcid.org/0000-0003-2139-7329</orcidid><orcidid>https://orcid.org/0000-0003-1102-6532</orcidid><orcidid>https://orcid.org/0000-0002-7889-6156</orcidid><orcidid>https://orcid.org/0000-0002-7541-5310</orcidid><oa>free_for_read</oa></addata></record> |
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language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11596092 |
source | Oxford University Press Journals All Titles (1996-Current); MEDLINE |
subjects | Aged Female Follow-Up Studies Germany - epidemiology Glomerular Filtration Rate Humans Incidence Male Middle Aged Multimorbidity Original Prognosis Prospective Studies Renal Insufficiency, Chronic - complications Renal Insufficiency, Chronic - epidemiology Risk Factors Survival Rate |
title | Interactive exploration of adverse events and multimorbidity in CKD |
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