Literature DB >> 32562614

Facing multimorbidity in the precision medicine era.

Graziano Onder1, Roberto Bernabei2, Davide L Vetrano3, Katie Palmer4, Alessandra Marengoni5.   

Abstract

The clinical picture of multimorbidity is heterogeneous and it is characterized by great complexity. Precision medicine is an innovative approach to provide personalized care focused on individual characteristics and to deliver the right treatments, at the right time, to the right person. The precision medicine approach, which represents an epochal change in the field of chronic diseases, has been poorly implemented in patients with multimorbidity. Several factors can limit this application. First, the precision medicine approach has been successfully applied in the treatment of mono-factorial diseases while multimorbidity is multifactorial. Second, there is lack of understanding of risk factors in the development and evolution of multimorbidity. Third, precision medicine is mainly focused on understanding genetic aspects of diseases and neglects other characteristics contributing to the definition of individual profiles. Finally, individual pathways may lead to the development of different multimorbidity phenotypes. A possible solution to simplify the application of precision medicine to this condition is to reduce its complexity and to find homogeneous patterns of chronic diseases that may work as targets of preventive and therapeutic strategies. This approach can lead to better understanding how these factors interact at individual level and to define interventions that might target multimorbidity.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cluster of diseases; Multimorbidity; Precision medicine

Year:  2020        PMID: 32562614     DOI: 10.1016/j.mad.2020.111287

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  4 in total

Review 1.  3D Printing in Development of Nanomedicines.

Authors:  Keerti Jain; Rahul Shukla; Awesh Yadav; Rewati Raman Ujjwal; Swaran Jeet Singh Flora
Journal:  Nanomaterials (Basel)       Date:  2021-02-07       Impact factor: 5.076

Review 2.  The Role of Artificial Intelligence in Managing Multimorbidity and Cancer.

Authors:  Alfredo Cesario; Marika D'Oria; Riccardo Calvani; Anna Picca; Antonella Pietragalla; Domenica Lorusso; Gennaro Daniele; Franziska Michaela Lohmeyer; Luca Boldrini; Vincenzo Valentini; Roberto Bernabei; Charles Auffray; Giovanni Scambia
Journal:  J Pers Med       Date:  2021-04-19

Review 3.  Data Integration Challenges for Machine Learning in Precision Medicine.

Authors:  Mireya Martínez-García; Enrique Hernández-Lemus
Journal:  Front Med (Lausanne)       Date:  2022-01-25

Review 4.  Multiple Long-Term Conditions (MLTC) and the Environment: A Scoping Review.

Authors:  Hajira Dambha-Miller; Sukhmani Cheema; Nile Saunders; Glenn Simpson
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

  4 in total

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