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S1131 Sociodemographic Determinants of Response to Ursodiol: Is Age a Predictor of Ursodiol Non-Response?

2021· article· it· W3209095327 on OpenAlexaboutno aff
Quynh-An Phan, Mrinalini Buddha, Jesus E. Romero, Stephanie Panduano, Ana I. Romero, Chukwuma Egwim, Victor Ankoma‐Sey

Bibliographic record

VenueThe American Journal of Gastroenterology · 2021
Typearticle
Languageit
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyHepatologyCohortPrimary sclerosing cholangitisLogistic regressionExact testPrimary biliary cirrhosisMann–Whitney U testRetrospective cohort studyDisease

Abstract

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Introduction: Primary biliary cholangitis (PBC) is a chronic autoimmune disorder characterized by portal inflammation and intrahepatic biliary duct destruction. Ursodiol is the first-line treatment for many patients with PBC. The primary aim of this study is to assess the role of socio-demographic variables on response to ursodiol elicited by Toronto criteria, which has been validated in previous studies. Methods: A retrospective cohort study was conducted at Liver Associates of Texas Hepatology outpatient clinics in Houston, Texas. All patients diagnosed with PBC from January 2018-May 2021 were included. Lab and Fibroscan results before and 1 year after starting ursodiol in these patients were collected from their records. Response to Ursodiol was measured using the Toronto criteria [alkaline phosphatase (ALP)≤1.67 times upper limit of normal (ULN) are responders and ALP >1.67 times ULN are non-responders]. Continuous variables were compared with either the Student’s T-test or Wilcoxon Rank-sum test. Chi-square test, Fisher’s exact test and logistic regression were used for categorical variables. Significance level was set at 5%. Results: Data for ursodiol response was available for 111/136 patients with PBC and included in the study. 65/111 (58.6%) were ursodiol responders and 46/111 (41.4%) were ursodiol non-responders. Majority of the patients were female with no significant difference in gender [p=0.191] distribution. Overall, 36.8% are White, 14.7% are Hispanic, 12.5% are African American, 3.7% are Asian, 2.2% are Native American, and 30.2% are of unspecified race, with no significant difference among responders vs non-responders [p=0.290] with respect to ethnicity. The median age for responders is 67 years and 61.5 years for non-responders, which was significantly different between the two groups [p=0.004]. On logistic regression, PBC patients ≤ 55 years of age have 2.62 times higher risk of non-response to ursodiol compared to patients > 55 years of age [OR=2.62, p=0.034]. On univariate analysis, BMI [p=0.434], gender [p=0.191], and PBC-AIH overlap syndrome [p=0.717] were not significantly different among ursodiol responders vs non-responders. Conclusion: PBC patients younger than or equal to 55 years of age are at a higher risk of non-response to ursodiol than PBC patients >55 years, thus need effective monitoring for their response to ursodiol. Further studies are needed to validate age as a predictor of ursodiol response in PBC patients.Table 1.: Prevalence of documented immunity to or vaccination for HAV and HBV among adults with chronic liver disease.

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)0.004
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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
Published2021
Admission routes1
Has abstractyes

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