Literature DB >> 31971467

The use of PROMIS patient-reported outcomes (PROs) to inform light chain (AL) amyloid disease severity at diagnosis.

Anita D'Souza1,2, Brooke E Magnus3, Judith Myers2, Angela Dispenzieri4, Kathryn E Flynn1,2.   

Abstract

We sought to evaluate how PROMIS patient-reported outcome (PRO) measures correlated with disease characteristics in systemic light chain (AL) amyloidosis patients at diagnosis. Newly diagnosed AL patients were recruited at two centres (N = 61). Patients completed the PROMIS Global Health v1.2, PROMIS-29 Profile v2.0 and Fatigue 8a v1.0. We assigned disease severity based on stage, presence of cardiac AL, and number of organs involved. We evaluated a) known groups validity by comparing PROMIS T-scores by disease severity, b) internal consistency using Cronbach's alpha and c) convergent/discriminant validity based on correlations across the domains and summary scores. Using receiver operating characteristic (ROC) curve analysis, NT-proBNP cut-off level corresponding to normal/mild vs moderate/severe PRO scores was determined. The median age was 68 (48-83) years with 58% males. Sixty-six percent had cardiac involvement and 25% had 3 or more organs involved with AL amyloidosis; 14% had stage 1, 28% stage 2, 36% stage 3 and 16% stage 4 disease. PROMIS measures had acceptable to excellent internal consistency and expected patterns of correlations. PROMIS Global Physical Health score was worse than the Global Mental Health Score at diagnosis; Physical function, fatigue and anxiety were the most impaired domains. PROMIS Global Health summary scores discriminated across AL amyloidosis stage and number of organs involved. Physical Function showed the strongest effects across known groups by stage, cardiac involvement and number of organs involved followed by Ability to Participate in Social Roles and Activities. A diagnostic NT-proBNP cut-off of 4200 pg/ml identified patients with moderate/severe PRO scores for these domains. Our results provide evidence for reliability and validity of select PROMIS short form measures in AL amyloidosis at diagnosis.

Entities:  

Keywords:  AL amyloidosis; PROMIS; PROs; SF-36; patient-reported outcomes

Mesh:

Year:  2020        PMID: 31971467      PMCID: PMC7275879          DOI: 10.1080/13506129.2020.1713743

Source DB:  PubMed          Journal:  Amyloid        ISSN: 1350-6129            Impact factor:   7.141


  31 in total

1.  Establishing a Common Metric for Physical Function: Linking the HAQ-DI and SF-36 PF Subscale to PROMIS(®) Physical Function.

Authors:  Benjamin D Schalet; Dennis A Revicki; Karon F Cook; Eswar Krishnan; Jim F Fries; David Cella
Journal:  J Gen Intern Med       Date:  2015-10       Impact factor: 5.128

2.  Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  Nan E Rothrock; Ron D Hays; Karen Spritzer; Susan E Yount; William Riley; David Cella
Journal:  J Clin Epidemiol       Date:  2010-08-05       Impact factor: 6.437

3.  Physical function metric over measure: An illustration with the Patient-Reported Outcomes Measurement Information System (PROMIS) and the Functional Assessment of Cancer Therapy (FACT).

Authors:  Aaron J Kaat; Benjamin D Schalet; Joshua Rutsohn; Roxanne E Jensen; David Cella
Journal:  Cancer       Date:  2017-09-08       Impact factor: 6.860

4.  Establishing a common metric for self-reported pain: linking BPI Pain Interference and SF-36 Bodily Pain Subscale scores to the PROMIS Pain Interference metric.

Authors:  Karon F Cook; Benjamin D Schalet; Michael A Kallen; Joshua P Rutsohn; David Cella
Journal:  Qual Life Res       Date:  2015-04-18       Impact factor: 4.147

5.  Estimation of a Preference-Based Summary Score for the Patient-Reported Outcomes Measurement Information System: The PROMIS®-Preference (PROPr) Scoring System.

Authors:  Barry Dewitt; David Feeny; Baruch Fischhoff; David Cella; Ron D Hays; Rachel Hess; Paul A Pilkonis; Dennis A Revicki; Mark S Roberts; Joel Tsevat; Lan Yu; Janel Hanmer
Journal:  Med Decis Making       Date:  2018-06-26       Impact factor: 2.583

6.  Patient-reported distress is prevalent in systemic light chain (AL) amyloidosis but not determined by severity of disease.

Authors:  Nicholas L Wright; Kathryn E Flynn; Ruta Brazauskas; Parameswaran Hari; Anita D'Souza
Journal:  Amyloid       Date:  2018-07-21       Impact factor: 7.141

7.  Epidemiology of AL amyloidosis: a real-world study using US claims data.

Authors:  Tiffany P Quock; Tingjian Yan; Eunice Chang; Spencer Guthrie; Michael S Broder
Journal:  Blood Adv       Date:  2018-05-22

8.  Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items.

Authors:  Ron D Hays; Jakob B Bjorner; Dennis A Revicki; Karen L Spritzer; David Cella
Journal:  Qual Life Res       Date:  2009-06-19       Impact factor: 4.147

9.  Light Chain Amyloidosis: Patient Experience Survey from the Amyloidosis Research Consortium.

Authors:  Isabelle Lousada; Raymond L Comenzo; Heather Landau; Spencer Guthrie; Giampaolo Merlini
Journal:  Adv Ther       Date:  2015-10-23       Impact factor: 3.845

10.  Content validation of the SF-36v2® health survey with AL amyloidosis patients.

Authors:  Michelle K White; Martha S Bayliss; Spencer D Guthrie; Kimberly P Raymond; Avery A Rizio; Kristen L McCausland
Journal:  J Patient Rep Outcomes       Date:  2017-12-08
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  1 in total

1.  Changes in patient-reported outcomes in light chain amyloidosis in the first year after diagnosis and relationship to NT-proBNP change.

Authors:  Anita D'Souza; Ruta Brazauskas; Angela Dispenzieri; Julie Panepinto; Kathryn E Flynn
Journal:  Blood Cancer J       Date:  2021-02-01       Impact factor: 11.037

  1 in total

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