ArticleJIMD reports2018
Alkaptonuria Severity Score Index Revisited: Analysing the AKUSSI and Its Subcomponent Features.
Article in JIMD reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Quantifying the Functional Gap in Alkaptonuria Through Machine Learning and Clinical Data Integration.Bioengineering (Basel, Switzerland) · 2026Article
- Gene expression & biochemical analysis in alkaptonuria caused by a founder pathogenic variant across different age groups from India.The Indian journal of medical research · 2024Article
- Alkaptonuria.Nature reviews. Disease primers · 2024Review
- Analysis of the Phenotype Differences in Siblings with Alkaptonuria.Metabolites · 2022Article
- Improving the clinical accuracy and flexibility of the Alkaptonuria severity score index.JIMD reports · 2022Article
- A case report of pregnancy in untreated alkaptonuria - Focus on urinary tissue remodelling markers.Molecular genetics and metabolism reports · 2021Article
- Alkaptonuria: Current Perspectives.The application of clinical genetics · 2020Review
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlkaptonuria (AKU) is a rare disorder with no licensed treatment; nitisinone may reduce symptoms and progression. The All Alkaptonuria Severity Score Index (AKUSSI) measures disease severity in clinical, joint and spine domains, with 57 subcomponent feature scores. Our primary aim was to assess tools for validating scores such as the AKUSSI by detecting relationships between features both before and during nitisinone treatment.
methodsAKUSSI measurements from nitisinone-treated patients visiting the National AKU Centre between 01-Jun-2012 and 31-May-2016 were analysed pre-treatment, at first treatment and annually to Year 3 post-treatment. Principal component analysis (PCA) and redundancy analysis assessed whether any AKUSSI features contributed little information to the overall score.
results65 AKU patients were included: 17 with a pre-treatment AKUSSI measurement (10 later received nitisinone) and 48 with a first measurement at their first treatment visit. In PCA, the first four principal components (PC1-PC4) explained ≥50% of AKUSSI variance at all visits (54.1-87.3%). Some features regularly dominated their domain's PC1: ears, aortic sclerosis, and nasal/temporal eye scores (clinical), pain-related scores (joint) and cervical, lumbar and thoracic spine scores (spine). Only the right-hand/wrist score was consistently redundant. Right eye (nasal) and left ear scores were redundant pre-treatment, potentially correlating with other dominant clinical PC1 features.
conclusionsPCA and redundancy analysis supported the AKUSSI as a robust AKU disease severity measure, although some AKUSSI features could be removed for simplicity. For small patient populations and rare diseases, PCA and redundancy analysis together can aid validation of disease severity metrics.
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