<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Srivastava A</submitter><funding>NCATS NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>NIDDK NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>NIDDK</funding><funding>NIGMS NIH HHS</funding><pagination>1592-1602</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8207467</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>6(6)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Management of chronic kidney disease (CKD) entails high medical complexity and often results in high hospitalization burden. There are limited data on the associations of longitudinal hospital utilization patterns with adverse clinical outcomes in individuals with CKD.&lt;h4>Methods&lt;/h4>We derived cumulative all-cause hospitalization trajectory groups using latent class trajectory analysis in 3012 participants of the Chronic Renal Insufficiency Cohort (CRIC) Study who were alive and did not reach end-stage kidney disease (ESKD) within 4 years of study entry. Cox proportional hazards models tested the associations between hospitalization trajectory groups and risks of ESKD and death prior to the onset of ESKD (ESKD-censored death).&lt;h4>Results&lt;/h4>Within 4 years of study entry, there were 5658 hospitalizations among 3012 participants. We identified 3 distinct subgroups of individuals with CKD based on cumulative all-cause hospitalization trajectories over 4 years: low-utilizer (&lt;i>n&lt;/i> = 1066), intermediate-utilizer (&lt;i>n&lt;/i> = 1802), and high-utilizer (&lt;i>n&lt;/i> = 144). High-utilizers represented a patient population of lower socioeconomic status who had a greater prevalence of comorbid conditions and lower kidney function compared with intermediate- and low-utilizers. After the 4-year ascertainment period to form the trajectory subgroups, there were 544 ESKD events and 437 ESKD-censored deaths during a median follow-up time of 5.1 years. Compared with low-utilizers, intermediate-utilizers and high-utilizers were at 1.49-fold (95% confidence interval [CI] 1.22-1.84) and 1.75-fold (95% CI 1.20-2.56) higher risk of ESKD in adjusted analyses, respectively. Compared with low-utilizers, intermediate-utilizers and high-utilizers were at 1.48-fold (95% CI 1.17-1.87) and 2.58-fold (95% CI 1.74-3.83) higher risk of ESKD-censored death in adjusted analyses, respectively.&lt;h4>Conclusions&lt;/h4>Trajectories of cumulative all-cause hospitalization identify subgroups of individuals with CKD who are at high risk of ESKD and death.</pubmed_abstract><journal>Kidney international reports</journal><pubmed_title>Hospitalization Trajectories and Risks of ESKD and Death in Individuals With CKD.</pubmed_title><pmcid>PMC8207467</pmcid><funding_grant_id>P20 GM109036</funding_grant_id><funding_grant_id>K23 DK118198</funding_grant_id><funding_grant_id>U01 DK061021</funding_grant_id><funding_grant_id>U01 DK060990</funding_grant_id><funding_grant_id>K24 HL150235</funding_grant_id><funding_grant_id>U01 DK061022</funding_grant_id><funding_grant_id>UL1 TR001422</funding_grant_id><funding_grant_id>UL1 RR029879</funding_grant_id><funding_grant_id>U01 DK061028</funding_grant_id><funding_grant_id>UL1 TR000433</funding_grant_id><funding_grant_id>UL1 TR000439</funding_grant_id><funding_grant_id>M01 RR016500</funding_grant_id><funding_grant_id>K23 DK125670</funding_grant_id><funding_grant_id>U01 DK060902</funding_grant_id><funding_grant_id>UL1 RR024131</funding_grant_id><funding_grant_id>R01 DK110087</funding_grant_id><funding_grant_id>UL1 TR000003</funding_grant_id><funding_grant_id>U01 DK060963</funding_grant_id><funding_grant_id>UL1 TR002548</funding_grant_id><funding_grant_id>UL1 TR000424</funding_grant_id><funding_grant_id>U01 DK060984</funding_grant_id><funding_grant_id>U01 DK060980</funding_grant_id><funding_grant_id>KL2 TR001424</funding_grant_id><funding_grant_id>P30 DK114857</funding_grant_id><funding_grant_id>U01 DK099930</funding_grant_id><funding_grant_id>K23 DK120811</funding_grant_id><funding_grant_id>U2C DK114886</funding_grant_id><funding_grant_id>R01 DK102438</funding_grant_id><pubmed_authors>Waikar SS</pubmed_authors><pubmed_authors>Mehta R</pubmed_authors><pubmed_authors>Diamantidis CJ</pubmed_authors><pubmed_authors>Lee J</pubmed_authors><pubmed_authors>Unruh ML</pubmed_authors><pubmed_authors>Hsu CY</pubmed_authors><pubmed_authors>Isakova T</pubmed_authors><pubmed_authors>Srivastava A</pubmed_authors><pubmed_authors>Go AS</pubmed_authors><pubmed_authors>Feldman HI</pubmed_authors><pubmed_authors>CRIC Study Investigators</pubmed_authors><pubmed_authors>Townsend RR</pubmed_authors><pubmed_authors>Rao PS</pubmed_authors><pubmed_authors>Chu DI</pubmed_authors><pubmed_authors>Lash JP</pubmed_authors><pubmed_authors>Saunders MR</pubmed_authors><pubmed_authors>Schrauben SJ</pubmed_authors><pubmed_authors>Shah VO</pubmed_authors><pubmed_authors>Hsu JY</pubmed_authors><pubmed_authors>He J</pubmed_authors><pubmed_authors>Nelson RG</pubmed_authors><pubmed_authors>Shafi T</pubmed_authors><pubmed_authors>Mills KT</pubmed_authors><pubmed_authors>Taliercio JJ</pubmed_authors><pubmed_authors>Rahman M</pubmed_authors><pubmed_authors>Appel LJ</pubmed_authors><pubmed_authors>Cai X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Hospitalization Trajectories and Risks of ESKD and Death in Individuals With CKD.</name><description>&lt;h4>Introduction&lt;/h4>Management of chronic kidney disease (CKD) entails high medical complexity and often results in high hospitalization burden. There are limited data on the associations of longitudinal hospital utilization patterns with adverse clinical outcomes in individuals with CKD.&lt;h4>Methods&lt;/h4>We derived cumulative all-cause hospitalization trajectory groups using latent class trajectory analysis in 3012 participants of the Chronic Renal Insufficiency Cohort (CRIC) Study who were alive and did not reach end-stage kidney disease (ESKD) within 4 years of study entry. Cox proportional hazards models tested the associations between hospitalization trajectory groups and risks of ESKD and death prior to the onset of ESKD (ESKD-censored death).&lt;h4>Results&lt;/h4>Within 4 years of study entry, there were 5658 hospitalizations among 3012 participants. We identified 3 distinct subgroups of individuals with CKD based on cumulative all-cause hospitalization trajectories over 4 years: low-utilizer (&lt;i>n&lt;/i> = 1066), intermediate-utilizer (&lt;i>n&lt;/i> = 1802), and high-utilizer (&lt;i>n&lt;/i> = 144). High-utilizers represented a patient population of lower socioeconomic status who had a greater prevalence of comorbid conditions and lower kidney function compared with intermediate- and low-utilizers. After the 4-year ascertainment period to form the trajectory subgroups, there were 544 ESKD events and 437 ESKD-censored deaths during a median follow-up time of 5.1 years. Compared with low-utilizers, intermediate-utilizers and high-utilizers were at 1.49-fold (95% confidence interval [CI] 1.22-1.84) and 1.75-fold (95% CI 1.20-2.56) higher risk of ESKD in adjusted analyses, respectively. Compared with low-utilizers, intermediate-utilizers and high-utilizers were at 1.48-fold (95% CI 1.17-1.87) and 2.58-fold (95% CI 1.74-3.83) higher risk of ESKD-censored death in adjusted analyses, respectively.&lt;h4>Conclusions&lt;/h4>Trajectories of cumulative all-cause hospitalization identify subgroups of individuals with CKD who are at high risk of ESKD and death.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jun</publication><modification>2024-10-19T03:33:39.428Z</modification><creation>2022-02-10T15:52:43.756Z</creation></dates><accession>S-EPMC8207467</accession><cross_references><pubmed>34169199</pubmed><doi>10.1016/j.ekir.2021.03.883</doi></cross_references></HashMap>