Establishment and validation of a predictive model for nontuberculous mycobacterial infections in acid-fast bacilli smear-positive patients.

ABSTRACT:

Introduction

Nontuberculous mycobacteria (NTM) and pulmonary tuberculosis (PTB) are difficult to distinguish in initial acid-fast bacilli (AFB) smear-positive patients.

Objectives

Establish a predictive model to identify more effectively NTM infections in initial AFB patients.

Methods

Consecutive AFB smear-positive patients in the Respiratory Department of Shanghai Pulmonary Hospital from January 2019 to February 2020 were retrospectively analysed. A multivariate regression was used to determine the independent risk factors for NTM. A receiver operating characteristic (ROC) curve was used to determine the model's predictive discrimination. The model was validated internally by a calibration curve and externally for consecutive AFB smear-positive patients from March to

SUBMITTER: Chen X 

PROVIDER: S-EPMC9290942 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature