Neuromuscular Diseases require a careful study of the gen- otype-phenotype association to understand the peculiarities of each subject affected by such conditions, and to tailor a person- alized treatment, maximizing its outcome. It is therefore pivotal to collect genetic, instrumental, muscular, physiotherapy, car- diovascular data to draw a comprehensive patient picture, defin- ing treatment plans, monitoring the course of the pathology and helping the clinicians in the patient care. In the InGene project, an integrated tool to collect such data in neuromuscular diseases was developed. It includes several modules, with an integrated user interface. The PhysioTest module allows administering physiothera- py tests, with customized interfaces for the Performance of the Upper Limb (PUL), the Six-Minute Walk Test (6MWT), the Motor Function Measure (MFM) and the North Star Ambula- tory Assessment (NSAA), as well as the Neurological Physi- cal Examination. The GenoStore module archives the patient's genotype and select patients with specific variants. The MRIndex module integrates the muscular MRI, pro- viding an index for the muscular involvement, measuring the fat infiltration within the muscle. Finally, the "InGene" module allows selecting several parameters (also from clinical dataset), applying them ex- ploratory statistical analysis of selected patients, through multivariate techniques, to retrieve patients' clusters based on correlations between genotype and phenotype as a useful research aid tool. The platform, collecting data within an Electronic Health Record, named Health360, developed as a modular, Cloud- based, Software as a Service (SaaS) platform, represents a di- agnostic aid tool for the clinicians in personalizing diagnosis and treatment plans addressed to patients with neuromuscular conditions.

InGene: an integrated tool for data collection in neuromuscular diseases

Conte R;Sansone F;Diodato G;Pala AP;Scudellari MC;Tonacci A;
2019

Abstract

Neuromuscular Diseases require a careful study of the gen- otype-phenotype association to understand the peculiarities of each subject affected by such conditions, and to tailor a person- alized treatment, maximizing its outcome. It is therefore pivotal to collect genetic, instrumental, muscular, physiotherapy, car- diovascular data to draw a comprehensive patient picture, defin- ing treatment plans, monitoring the course of the pathology and helping the clinicians in the patient care. In the InGene project, an integrated tool to collect such data in neuromuscular diseases was developed. It includes several modules, with an integrated user interface. The PhysioTest module allows administering physiothera- py tests, with customized interfaces for the Performance of the Upper Limb (PUL), the Six-Minute Walk Test (6MWT), the Motor Function Measure (MFM) and the North Star Ambula- tory Assessment (NSAA), as well as the Neurological Physi- cal Examination. The GenoStore module archives the patient's genotype and select patients with specific variants. The MRIndex module integrates the muscular MRI, pro- viding an index for the muscular involvement, measuring the fat infiltration within the muscle. Finally, the "InGene" module allows selecting several parameters (also from clinical dataset), applying them ex- ploratory statistical analysis of selected patients, through multivariate techniques, to retrieve patients' clusters based on correlations between genotype and phenotype as a useful research aid tool. The platform, collecting data within an Electronic Health Record, named Health360, developed as a modular, Cloud- based, Software as a Service (SaaS) platform, represents a di- agnostic aid tool for the clinicians in personalizing diagnosis and treatment plans addressed to patients with neuromuscular conditions.
2019
Istituto di Fisiologia Clinica - IFC
neuromuscular disease
electronic health record
File in questo prodotto:
File Dimensione Formato  
prod_470211-doc_190652.pdf

solo utenti autorizzati

Descrizione: abstract
Tipologia: Versione Editoriale (PDF)
Dimensione 767.39 kB
Formato Adobe PDF
767.39 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/419913
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact