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October 23, 2025MedicinaOpen Access

A Clinical Prediction Model for Atypical Tuberculosis Manifestations Among Older Adults

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Authors

JYJun‐Jun YehJCJia-Hong ChenYKYen‐Liang Kuo

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Overview

Analysis reveals a clinical prediction model increases early identification of atypical tuberculosis among older adults, highlighting critical health implications.

Key Points

  • A clinical prediction model increases early identification of atypical tuberculosis among older adults, improving healthcare outcomes.
  • Calibration plots show strong agreement, with important metrics exceeding 90% sensitivity and specificity.
  • Retrospective analysis included over 5600 patients, focusing on independent predictors like cardiovascular disease and diabetes.
  • The model's implementation in electronic records could reduce diagnostic delays in high-risk older adults.

Cite This Study

Yeh et al. (2025) studied this question.

synapsesocial.com/papers/68fa1210f9f8b44535bfcdc9https://doi.org/10.3390/medicina61101888
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