Dynamic Risk Prediction of Response to Ursodeoxycholic Acid Among Patients with Primary Biliary Cholangitis in the USA.


Journal

Digestive diseases and sciences
ISSN: 1573-2568
Titre abrégé: Dig Dis Sci
Pays: United States
ID NLM: 7902782

Informations de publication

Date de publication:
08 2022
Historique:
received: 19 02 2021
accepted: 05 08 2021
pubmed: 10 9 2021
medline: 20 7 2022
entrez: 9 9 2021
Statut: ppublish

Résumé

Ursodeoxycholic acid (UDCA) remains the first-line therapy for primary biliary cholangitis (PBC); however, inadequate treatment response (ITR) is common. The UK-PBC Consortium developed the modified UDCA Response Score (m-URS) to predict ITR (using alkaline phosphatase [ALP] > 1.67 times the upper limit of normal [*ULN]) at 12 months post-UDCA initiation). Using data from the US-based Fibrotic Liver Disease Consortium, we assessed the m-URS in our multi-racial cohort. We then used a dynamic modeling approach to improve prediction accuracy. Using data collected at the time of UDCA initiation, we assessed the m-URS using the original formula; then, by calibrating coefficients to our data, we also assessed whether it remained accurate when using Paris II criteria for ITR. Next, we developed and validated a dynamic risk prediction model that included post-UDCA initiation laboratory data. Among 1578 patients (13% men; 8% African American, 9% Asian American/American Indian/Pacific Islander; 25% Hispanic), the rate of ITR was 27% using ALP > 1.67*ULN and 45% using Paris II criteria. M-URS accuracy was "very good" (AUROC = 0.87, sensitivity = 0.62, and specificity = 0.82) for ALP > 1.67*ULN and "moderate" (AUROC = 0.74, sensitivity = 0.57, and specificity = 0.70) for Paris II. Our dynamic model significantly improved accuracy for both definitions of ITR (ALP > 1.67*ULN: AUROC = 0.91; Paris II: AUROC = 0.81); specificity approached 100%. Roughly 9% of patients in our cohort were at the highest risk of ITR. Early identification of patients who will not respond to UDCA treatment using a dynamic prediction model based on longitudinal, repeated risk factor measurements may facilitate earlier introduction of adjuvant treatment.

Sections du résumé

BACKGROUND
Ursodeoxycholic acid (UDCA) remains the first-line therapy for primary biliary cholangitis (PBC); however, inadequate treatment response (ITR) is common. The UK-PBC Consortium developed the modified UDCA Response Score (m-URS) to predict ITR (using alkaline phosphatase [ALP] > 1.67 times the upper limit of normal [*ULN]) at 12 months post-UDCA initiation). Using data from the US-based Fibrotic Liver Disease Consortium, we assessed the m-URS in our multi-racial cohort. We then used a dynamic modeling approach to improve prediction accuracy.
METHODS
Using data collected at the time of UDCA initiation, we assessed the m-URS using the original formula; then, by calibrating coefficients to our data, we also assessed whether it remained accurate when using Paris II criteria for ITR. Next, we developed and validated a dynamic risk prediction model that included post-UDCA initiation laboratory data.
RESULTS
Among 1578 patients (13% men; 8% African American, 9% Asian American/American Indian/Pacific Islander; 25% Hispanic), the rate of ITR was 27% using ALP > 1.67*ULN and 45% using Paris II criteria. M-URS accuracy was "very good" (AUROC = 0.87, sensitivity = 0.62, and specificity = 0.82) for ALP > 1.67*ULN and "moderate" (AUROC = 0.74, sensitivity = 0.57, and specificity = 0.70) for Paris II. Our dynamic model significantly improved accuracy for both definitions of ITR (ALP > 1.67*ULN: AUROC = 0.91; Paris II: AUROC = 0.81); specificity approached 100%. Roughly 9% of patients in our cohort were at the highest risk of ITR.
CONCLUSIONS
Early identification of patients who will not respond to UDCA treatment using a dynamic prediction model based on longitudinal, repeated risk factor measurements may facilitate earlier introduction of adjuvant treatment.

Identifiants

pubmed: 34499271
doi: 10.1007/s10620-021-07219-4
pii: 10.1007/s10620-021-07219-4
doi:

Substances chimiques

Cholagogues and Choleretics 0
Ursodeoxycholic Acid 724L30Y2QR
Alkaline Phosphatase EC 3.1.3.1
Bilirubin RFM9X3LJ49

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4170-4180

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Références

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Carbone M, Nardi A, Flack S et al. Pretreatment prediction of response to ursodeoxycholic acid in primary biliary cholangitis: development and validation of the UDCA Response Score. Lancet Gastroenterol Hepatol. 2018;3:626–634. https://doi.org/10.1016/S2468-1253(18)30163-8 .
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Cheung AC, Lammers WJ, Murillo Perez CF, et al. Effects of Age and Sex of Response to Ursodeoxycholic Acid and Transplant-free Survival in Patients With Primary Biliary Cholangitis. Clin Gastroenterol Hepatol. 2019; Doi: https://doi.org/10.1016/j.cgh.2018.12.028
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Auteurs

Jia Li (J)

Department of Public Health Sciences, Henry Ford Health System, 3E One Ford Place, Detroit, MI, 48202, USA. jli4@hfhs.org.

Mei Lu (M)

Department of Public Health Sciences, Henry Ford Health System, 3E One Ford Place, Detroit, MI, 48202, USA.

Yueren Zhou (Y)

Department of Public Health Sciences, Henry Ford Health System, 3E One Ford Place, Detroit, MI, 48202, USA.

Christopher L Bowlus (CL)

University of California Davis School of Medicine, Sacramento, CA, USA.

Keith Lindor (K)

College of Health Solutions, Arizona State University, Phoenix, AZ, USA.

Carla Rodriguez-Watson (C)

Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD, USA.
Innovation in Medical Evidence Development and Surveillance, The Reagan-Udall Foundation for the FDA, Washington, DC, USA.

Robert J Romanelli (RJ)

Palo Alto Medical Foundation Research Institute, Palo Alto, CA, USA.

Irina V Haller (IV)

Essentia Institute of Rural Health, Essentia Health, Duluth, MN, USA.

Heather Anderson (H)

Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, USA.

Jeffrey J VanWormer (JJ)

Marshfield Clinic Research Institute, Marshfield, WI, USA.

Joseph A Boscarino (JA)

Department of Epidemiology and Health Services Research, Geisinger Clinic, Danville, PA, USA.

Mark A Schmidt (MA)

Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.

Yihe G Daida (YG)

Center for Integrated Health Care Research, Kaiser Permanente Hawaii, Honolulu, HI, USA.

Amandeep Sahota (A)

Department of Research and Evaluation, Kaiser Permanente Southern California, Los Angeles, CA, USA.

Jennifer Vincent (J)

Baylor, Scott & White Research Institute, Temple, TX, USA.

Kuan-Han Hank Wu (KH)

Department of Public Health Sciences, Henry Ford Health System, 3E One Ford Place, Detroit, MI, 48202, USA.

Sheri Trudeau (S)

Department of Public Health Sciences, Henry Ford Health System, 3E One Ford Place, Detroit, MI, 48202, USA.

Loralee B Rupp (LB)

Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI, USA.

Christina Melkonian (C)

Department of Public Health Sciences, Henry Ford Health System, 3E One Ford Place, Detroit, MI, 48202, USA.

Stuart C Gordon (SC)

Department of Gastroenterology and Hepatology, Henry Ford Health System, and Wayne State University School of Medicine, Detroit, MI, USA.

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