Can the BACES score predict clinical outcomes in a Dutch cohort with nontuberculous mycobacterial pulmonary disease?
Arthur Lemson, Esmee van der Pol, Jakko van Ingen, Wouter Hoefsloot
ERJ Open Research · 2025-07
Abstract
<title>Extract</title> Determining the appropriate treatment strategy for nontuberculous mycobacterial pulmonary disease (NTM-PD) is challenging due to interpatient variability in clinical phenotypes. Recently, the BACES score has gained interest as a tool for predicting all-cause mortality in patients with NTM-PD [1, 2]. The model includes five easily obtainable components: BMI <18.5 kg·m<sup>−2</sup>, age ≥65 years, cavitary disease, erythrocyte sedimentation rate (ERS) ≥15 mm·h<sup>−1</sup> in males and ≥20 mm·h<sup>−1</sup> in females, and male sex, yielding a total score ranging from 0 to 5. Based on the total score, patients are classified into three categories: low risk (0–1), intermediate risk (2–3), or high risk (4–5).
MeSH terms
- Medicine
- Cohort
- Pulmonary disease
- Nontuberculous mycobacteria
- Disease
- Internal medicine
- Cohort study