A Simplified Diagnostic Classification Scheme of Chemotherapy-Induced Peripheral Neuropathy

Han Wei Huang, Pei Ying Wu, Pei Fang Su, Chung I. Li, Yu Min Yeh, Peng Chan Lin, Keng Fu Hsu, Meng Ru Shen, Jang Yang Chang, Chou Ching K. Lin

研究成果: 雜誌貢獻文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Background and Objective. The main purpose of this study was to develop a simple automatic diagnostic classification scheme for chemotherapy-induced peripheral neuropathy. Methods. This was a prospective cohort study that enrolled patients with colorectal or gynecologic cancer post chemotherapy for more than 1 year. The patients underwent laboratory examinations (nerve conduction studies and quantitative sensory tests), and a questionnaire about the quality of life. An unsupervised classification algorithm was used to classify the patients into groups using a small number of variables derived from the laboratory tests. A panel of five neurologists also diagnosed the types of neuropathies according to the laboratory tests. The results by the unsupervised classification algorithm and the neurologists were compared. Results. The neurologists' diagnoses showed much higher rates of entrapment syndromes (66.1%) and radiculopathies (55.1%) than polyneuropathy (motor/sensory: 33.1%/29.7%). A multivariate analysis showed that the questionnaire was not significantly correlated with the results of quantitative sensory tests (r=0.27) or the neurologists' diagnoses (r=0.2). All of the patients were classified into four groups by the unsupervised classification algorithm. The classification corresponded to the severity of neuropathy and correlated well with the neurologists' diagnoses and the scales of neurological examinations. The overall correct rate of classification by the unsupervised classification algorithm was 78.8% (95% confidence interval: 73.1%-88.3%). Conclusion. The results of our unsupervised classification algorithm based on three variables of laboratory tests correlated well with the neurologists' diagnoses.
原文英語
文章編號3402108
期刊Disease Markers
2020
DOIs
出版狀態已發佈 - 2020
對外發佈

ASJC Scopus subject areas

  • 分子生物學
  • 遺傳學
  • 臨床生物化學
  • 生物化學(醫學)

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