AI Article Synopsis

  • The study evaluated the effectiveness of body mass index (BMI) in diagnosing sarcopenic dysphagia among 467 patients with dysphagia, using a reliable diagnostic algorithm.
  • Approximately 61.7% of the patients were diagnosed with sarcopenic dysphagia, and the diagnostic accuracy of BMI was measured with an area under the curve (AUC) of 0.60-0.62 across various groups.
  • It was concluded that a BMI of less than 20.0 kg/m2 could serve as a strong indicator for sarcopenic dysphagia, suggesting that healthcare providers should screen for this condition in patients presenting with dysphagia and low BMI.

Article Abstract

The accuracy of body mass index (BMI) for sarcopenic dysphagia diagnosis, which remains unknown, was evaluated in this study among patients with dysphagia. We conducted a 19-site cross-sectional study. We registered 467 dysphagic patients aged ≥ 20 years. Sarcopenic dysphagia was assessed using a reliable and validated diagnostic algorithm. BMI was assessed using the area under the curve (AUC) in the receiver operating characteristic analysis to determine diagnostic accuracy for sarcopenic dysphagia. The study included 460 patients (median age, 83.0 years (76.0−88.0); men, 49.8%). The median BMI was 19.9 (17.3−22.6) kg/m2. Two hundred eighty-four (61.7%) patients had sarcopenic dysphagia. The AUC for sarcopenic dysphagia was 0.60−0.62 in the overall patients, male, female, and patients aged ≥ 65 years The BMI cut-off value for sarcopenic dysphagia diagnosis was 20.1 kg/m2 in the overall patients (sensitivity, 58.1%; specificity, 60.2%) and patients aged ≥ 65 years (sensitivity, 59.8%; specificity, 61.8%). Conclusion: Although the AUC, sensitivity and specificity of BMI for sarcopenic dysphagia diagnosis was approximately 0.6, BMI < 20.0 kg/m2 might be a predictor for sarcopenic dysphagia. In clinical settings, if patients with dysphagia have a BMI < 20.0 kg/m2, then sarcopenic dysphagia should be suspected as early as possible after admission.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655070PMC
http://dx.doi.org/10.3390/nu14214494DOI Listing

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