<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Clarke AE</submitter><funding>NCATS NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>National Institute for Health Research (NIHR)</funding><funding>NIAMS NIH HHS</funding><funding>Wellcome Trust</funding><pagination>1859-1870</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10363569</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>75(9)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>To estimate direct and indirect costs associated with neuropsychiatric (NP) events in the Systemic Lupus International Collaborating Clinics inception cohort.&lt;h4>Methods&lt;/h4>NP events were documented annually using American College of Rheumatology definitions for NP events and attributed to systemic lupus erythematosus (SLE) or non-SLE causes. Patients were stratified into 1 of 3 NP states (no, resolved, or new/ongoing NP event). Change in NP status was characterized by interstate transition rates using multistate modeling. Annual direct costs and indirect costs were based on health care use and impaired productivity over the preceding year. Annual costs associated with NP states and NP events were calculated by averaging all observations in each state and adjusted throug</pubmed_abstract><journal>Arthritis care &amp; research</journal><pubmed_title>Assessing the Costs of Neuropsychiatric Disease in the Systemic Lupus International Collaborating Clinics Cohort Using Multistate Modeling.</pubmed_title><pmcid>PMC10363569</pmcid><funding_grant_id>UL1 TR000150</funding_grant_id><funding_grant_id>UL1 TR001422</funding_grant_id><funding_grant_id>R01 AR043727</funding_grant_id><funding_grant_id>P30 AR072579</funding_grant_id><funding_grant_id>NF-SI-0512-10105</funding_grant_id><funding_grant_id>NF-SI-0617-10075</funding_grant_id><funding_grant_id>KL2 TR001424</funding_grant_id><funding_grant_id>P60 AR064464</funding_grant_id><funding_grant_id>R01 AR069572</funding_grant_id><funding_grant_id>K24 AR002138</funding_grant_id><funding_grant_id>UL1 RR025741</funding_grant_id><funding_grant_id>M01 RR000046</funding_grant_id><funding_grant_id>P60 AR048098</funding_grant_id><pubmed_authors>Urowitz MB</pubmed_authors><pubmed_authors>Wallace DJ</pubmed_authors><pubmed_authors>Petri M</pubmed_authors><pubmed_authors>Dooley MA</pubmed_authors><pubmed_authors>Clarke AE</pubmed_authors><pubmed_authors>Sanchez-Guerrero J</pubmed_authors><pubmed_authors>Manzi S</pubmed_authors><pubmed_authors>Jonsen A</pubmed_authors><pubmed_authors>Fortin PR</pubmed_authors><pubmed_authors>Alarcon GS</pubmed_authors><pubmed_authors>Van Vollenhoven RF</pubmed_authors><pubmed_authors>Rahman A</pubmed_authors><pubmed_authors>Bernatsky S</pubmed_authors><pubmed_authors>Bruce IN</pubmed_authors><pubmed_authors>Farewell V</pubmed_authors><pubmed_authors>Ginzler EM</pubmed_authors><pubmed_authors>Ramsey-Goldman R</pubmed_authors><pubmed_authors>Romero-Diaz J</pubmed_authors><pubmed_authors>Gladman DD</pubmed_authors><pubmed_authors>Peschken CA</pubmed_authors><pubmed_authors>Merrill JT</pubmed_authors><pubmed_authors>St Pierre Y</pubmed_authors><pubmed_authors>Bae SC</pubmed_authors><pubmed_authors>Ruiz-Irastorza G</pubmed_authors><pubmed_authors>Kalunian KC</pubmed_authors><pubmed_authors>Askanase A</pubmed_authors><pubmed_authors>Aranow C</pubmed_authors><pubmed_authors>Hanly JG</pubmed_authors><pubmed_authors>Isenberg DA</pubmed_authors><pubmed_authors>Gordon C</pubmed_authors><pubmed_authors>Inanc M</pubmed_authors><pubmed_authors>Mackay M</pubmed_authors><pubmed_authors>Lim SS</pubmed_authors><pubmed_authors>Kamen DL</pubmed_authors><pubmed_authors>Jacobsen S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Assessing the Costs of Neuropsychiatric Disease in the Systemic Lupus International Collaborating Clinics Cohort Using Multistate Modeling.</name><description>&lt;h4>Objective&lt;/h4>To estimate direct and indirect costs associated with neuropsychiatric (NP) events in the Systemic Lupus International Collaborating Clinics inception cohort.&lt;h4>Methods&lt;/h4>NP events were documented annually using American College of Rheumatology definitions for NP events and attributed to systemic lupus erythematosus (SLE) or non-SLE causes. Patients were stratified into 1 of 3 NP states (no, resolved, or new/ongoing NP event). Change in NP status was characterized by interstate transition rates using multistate modeling. Annual direct costs and indirect costs were based on health care use and impaired productivity over the preceding year. Annual costs associated with NP states and NP events were calculated by averaging all observations in each state and adjusted throug</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Sep</publication><modification>2026-04-17T13:27:32.474Z</modification><creation>2025-04-19T01:43:50.313Z</creation></dates><accession>S-EPMC10363569</accession><cross_references><pubmed>36691838</pubmed><doi>10.1002/acr.25090</doi></cross_references></HashMap>