論文

査読有り 国際誌
2021年1月14日

U-TEST, a simple decision support tool for the diagnosis of sarcopenia in orthopaedic patients: the Screening for People Suffering Sarcopenia in Orthopedic cohort of Kobe study (SPSS-OK).

The British journal of nutrition
  • Tsukasa Kamitani
  • ,
  • Takafumi Wakita
  • ,
  • Osamu Wada
  • ,
  • Kiyonori Mizuno
  • ,
  • Noriaki Kurita

126
9
開始ページ
1
終了ページ
8
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1017/S0007114521000106

We aimed to develop and validate a new simple decision support tool (U-TEST) for diagnosis of sarcopenia in orthopaedic patients. We created seventeen candidate original questions to detect sarcopenia in orthopaedic patients with sarcopenia through expert opinions and a semi-structured interview. To derive a decision support tool, a logistic regression model with backward elimination was applied to select variables from the seventeen questions, age and underweight (BMI < 18·5 kg/m2). Sarcopenia was defined by Asian Working Group for Sarcopenia 2019 criteria. After assigning a score to each selected variable, the sum of scores was calculated. We evaluated the diagnostic performance of the new tool using a logistic regression model. A bootstrap technique was used for internal validation. Among a total of 1334 orthopaedic patients, sixty-five (4·9 %) patients were diagnosed with sarcopenia. We succeeded in developing a 'U-TEST' with scores ranging from 0 to 11 consisting of values for BMI (Underweight), age (Elderly) and two original questions ('I can't stand up from a chair without supporting myself with my arms' (Strength) and 'I feel that my arms and legs are thinner than they were in the past' (Thin)). The AUC was 0·77 (95 % CI 0·71, 0·83). With the optimal cut-off set at 3 or greater based on Youden's index, the sensitivity and the specificity were 76·1 and 63·6 %, respectively. In orthopaedic patients, our U-TEST scoring with two questions and two simple clinical variables can help to screen for sarcopenia.

リンク情報
DOI
https://doi.org/10.1017/S0007114521000106
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33441195
ID情報
  • DOI : 10.1017/S0007114521000106
  • PubMed ID : 33441195

エクスポート
BibTeX RIS