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DISPARITIES IN OUTCOMES OF PATIENTS WITH LUPUS NEPHRITIS BASED ON AREA DEPRIVATION INDEX: A RETROSPECTIVE ANALYSIS

2025· article· en· W4410513101 on OpenAlexvenueno aff
Maryam Riaz, Alma Aveytia, Soudabeh Daliri, Mahnoor Javed, Jessica Lowe, Shane A. Bobart, Myriam Guevara

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLupus nephritisRetrospective cohort studyIndex (typography)Internal medicineSystemic lupus erythematosusDisease

Abstract

fetched live from OpenAlex

PV132 / #416 Poster Topic: AS15 - Lupus Nephritis-Clinical Background/Purpose Lupus nephritis (LN) is a significant complication of systemic lupus erythematosus, with varying histological classifications influencing treatment strategies and outcomes. Living in a disadvantaged neighborhood has been linked to several healthcare outcomes, including higher rates of diabetes and cardiovascular disease, increased utilization of health services, and earlier death. This study aims to compare clinical and laboratory outcomes at the time of biopsy and 12 months post-biopsy in patients with LN classified as class III, III/IV, IV, IV/V, and III/V based on area deprivation index (ADI). Methods A total of 95 patients were retrospectively identified who had undergone kidney biopsy from June 1st, 2016, until December 19th, 2023, at Houston Methodist Hospital. From these patients, those who did not have a follow-up visit or labs 12 months after biopsy were excluded. The remaining 62 were placed in 3 different categories by Area Deprivation Index (ADI), constructed from variables such as education, income, employment status, housing, and household characteristics to assess the level of neighborhood deprivation with higher numbers indicating more socioeconomic disparity. The categories were as follows; 1-39 (low), 40-69 (middle), 70-100 (high). The clinical characteristics were manually documented from the electronic medical record. Results Of the 62 patients, 25 (40.3%) patients were in the low, 24 (38.7%) in the middle, and 13 (21.0%) patients were in the high range. Demographic distribution and other characteristics are as described in Table 1. The serologies of the patients in each of the 3 ADI groups are presented in Table 2. Four (16.0%) patients in the high, 0 (100%) in the middle, and 2 (15.4%) met the laboratory criteria for antiphospholipid syndrome (positive lupus anticoagulant and/or moderate-high titer of anti-cardiolipin or anti-b2-glycoprotein antibody). The laboratory findings noted in each ADI group are discussed in Table 3 looking at values at the time of biopsy and 12 months after. Those in the higher ADI group, on average, had higher SLEDAI scores, higher creatinine, lower eGFR, and higher UPCR at the time of biopsy. These differences were noted at the 12-month mark after biopsy as well. Finally, it also appears that the middle ADI group has higher rates of obesity and smoking and perhaps, given this lifestyle, is experiencing worse outcomes, as their SLEDAI scores do not improve as much as others and eGFR and proteinuria worsen. They also are more likely to be on dialysis before and after biopsy. Table 1: Demographic, anthropometric, and social history of patients. Table 2: The number of patients in each ADI group with positive serologies. Table 3: The average laboratory findings comparing the 3 ADI groups at the time of biopsy and 12 months afterwards. (HD: hemodialysis, Cr: creatinine, Hgb: hemoglobin, WBC: white blood count, eGFR: estimated glomerular filtration rate) Conclusions This study highlights the crucial impact of socioeconomic factors, measured by the area deprivation index, on LN outcomes. Patients in disadvantaged areas face significant challenges, leading to worse initial presentations and results. Notably, middle ADI individuals may need more lifestyle modifications, which could improve their proteinuria, eGFR, SLEDAI scores, and decrease the likelihood of requiring hemodialysis. These findings underscore the urgent need for targeted interventions that address socioeconomic disparities and promote lifestyle changes in LN patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.267
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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