Literature DB >> 34042016

A simple core dataset and disease severity score for hereditary transthyretin (ATTRv) amyloidosis.

Thibaud Damy1, Isabel Conceição2,3, Pablo García-Pavía4,5, Julian Gillmore6, Ravi Jandhyala7,8, Jan Sabbat9, Jonas Wixner10, Teresa Coelho11,12.   

Abstract

BACKGROUND: Hereditary transthyretin (ATTRv) amyloidosis is a progressive multisystemic disease of adult-onset that arises from an inherited mutation in the transthyretin gene. Currently available disease severity and progression evaluation tools only cover one single organ or system, impacting data collection uniformity and its use in clinical settings.
METHODS: The Jandhyala Method, including a systematic literature review and SMART interviews, was used to observe expert opinion from eight leaders in the treatment of ATTRv across Europe. The aim was to propose a multidisciplinary core dataset (CD) and disease severity scoring (DSS) tools.
RESULTS: The multidisciplinary team of experts identified 140 indicators that form part of the standard diagnostic and monitoring practice (SDMP) and should be collected as the ATTRv CD. Thirty-one (22%) of these indicators informed disease severity and comprised the ATTRv DSS, whilst 25 (18%) were deemed to monitor disease progression.
CONCLUSIONS: The resulting CD and DSS have different purposes. The ATTRv CD supports the collection of high-quality data for clinical research, whereas the ATTRv DSS can be rapidly conducted in a clinical setting and aid patient management.

Entities:  

Keywords:  ATTRv; core dataset; disease progression; disease severity score; hereditary transthyretin amyloidosis

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Substances:

Year:  2021        PMID: 34042016     DOI: 10.1080/13506129.2021.1931099

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


  2 in total

1.  Development and Validation of the Medical Affairs Pharmaceutical Physician Value (MAPPval) Instrument.

Authors:  Ravi Jandhyala
Journal:  Pharmaceut Med       Date:  2022-01-07

2.  Development of a Definition for Medical Affairs Using the Jandhyala Method for Observing Consensus Opinion Among Medical Affairs Pharmaceutical Physicians.

Authors:  Ravi Jandhyala
Journal:  Front Pharmacol       Date:  2022-02-22       Impact factor: 5.810

  2 in total

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