Improving the clinical accuracy and flexibility of the Alkaptonuria severity score index. Issue 4 (10th May 2022)

• Record Type: Journal Article
• Authors: Cant, Harriet E. O.; Chatzidaki, Iro; Olsson, Birgitta; Rudebeck, Mattias; Arnoux, Jean‐Baptiste; Imrich, Richard; Eddowes, Lucy A.; Ranganath, Lakshminarayan R.
• Is Part Of: JIMD reports. Volume 63:Issue 4(2022)
• Page Start: 361
• Page End: 370
• Publication Date: 2022-05-10
• Subjects: Alkaptonuria -- composite measure -- disease progression -- nitisinone -- resource‐limited; Metabolism, Inborn errors of -- Periodicals; Metabolism -- Disorders -- Periodicals; 616.39042
• DOI: 10.1002/jmd2.12290
• Languages: English
• ISSNs: 2192-8304

Abstract

Abstract: Alkaptonuria (AKU) is a rare genetic disorder where oxidised homogentisic acid accumulates in connective tissues, leading to multisystem disease. The clinical evaluation Alkaptonuria Severity Score Index (cAKUSSI) is a composite score that assesses the extent of AKU disease. However, some components assess similar disease features, are difficult to measure reliably or cannot be measured in resource‐limited environments. cAKUSSI data from the 4‐year SONIA 2 randomised controlled trial, which investigated nitisinone treatment in adults with AKU, were analysed ( N = 125). Potentially biased or low‐information cAKUSSI measurements were identified using clinical and statistical input to create a revised AKUSSI for use in AKU research (cAKUSSI 2.0). Additionally, resource‐intensive measurements were removed to explore a flexible AKUSSI (flex‐AKUSSI) for use in low‐resource environments. Revised scores were compared to cAKUSSI in terms of correlation and how they capture disease progression and treatment response. Eight measurements were removed from the cAKUSSI to create the cAKUSSI 2.0, which performed comparably to the cAKUSSI in measuring disease extent, progression and treatment response. When removing resource‐intensive measurements except for osteoarticular disease, the flex‐AKUSSI was highly correlated with the cAKUSSI, indicating that they quantified disease extent similarly. However, when osteoarticular disease (measured using scans) was removed, the corresponding flex‐AKUSSI underestimated disease progression and overestimated treatment response compared to the cAKUSSI. Clinicians may use the cAKUSSI 2.0 to reduce time, effort and patient burden. Clinicians in resource‐limited environments may find value in computing a flex‐AKUSSI score, offering potential for future global registries to expand knowledge about AKU.