Analysis of factors influencing bronchiectasis patients with active pulmonary tuberculosis and development of a nomogram prediction model

The nomogram model, developed using common clinical serological characteristics, holds significant clinical value for assessing the risk of APTB in bronchiectasis patients.

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Publication Details

Journal
Frontiers in Medicine
Published
2024-11-08
DOI
https://doi.org/10.3389/fmed.2024.1457048
Citations
1
Primary Topic
Cystic Fibrosis Research Advances
Type
article
Field-Weighted Citation Impact
0.42
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Analysis of factors influencing bronchiectasis patients with active pulmonary tuberculosis and development of a nomogram prediction model

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article

Analysis of factors influencing bronchiectasis patients with active pulmonary tuberculosis and development of a nomogram prediction model

Riken Chen, Weilong Ye, Xiaoxi Lin, Weimin Yao, Bainian Chen, Jingjing Pan, Yi Yang, Feiju Chen, Zhenzhen Zheng, Lianfang Du, Weifeng Liao
article en
1 citations

Abstract

The nomogram model, developed using common clinical serological characteristics, holds significant clinical value for assessing the risk of APTB in bronchiectasis patients.

Frontiers in MedicineVol. 11
Guangdong Medical College (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), Guangzhou Medical University (CN)
Gender equality
Openalex Percentile: Top 31%
Cystic Fibrosis Research Advances
0.42
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