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The correlation between CT features and insulin resistance levels in patients with T2DM complicated with primary pulmonary tuberculosis
Author(s) -
Yang WeiBin,
Wang HaiLin,
Mao JianTing,
Chen Zhen,
Xu JinWei,
Wang LianHong,
Xu Min,
Zhang Xin
Publication year - 2020
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.29741
Subject(s) - medicine , tuberculosis , insulin resistance , pulmonary tuberculosis , gastroenterology , diabetes mellitus , population , insulin , pathology , endocrinology , environmental health
Abstract The aim is to investigate the correlation between computed tomography (CT) features and insulin resistance levels in patients with type 2 diabetes mellitus (T2DM) complicated with primary pulmonary tuberculosis (PTB). Nearly, 268 untreated PTB patients complicated with T2DM were divided into two groups according to the optimal cutoff value of HOMA‐IR score for the Chinese population: HOMA‐IR ≤ 2.69 (Group I: 74 patients), >2.69 (Group II: 194 patients). The basic characteristics and changes of CT manifestations were analyzed. In the two groups, the detection rate of large segmented leafy shadow was 39.2% and 78.9%; the air bronchogram sign detection rate was 40.5% and 80.9%; the discovery rate of mouth‐eaten cavity was 33.8% and 73.7%; the thin‐walled cavity detection rate was 2.7% and 16.0%; the rate of multiple cavities was 35.1% and 69.6%; and bronchial tuberculosis was found in 4.1% and 35.6%, respectively. The detection rates of lesions in Group II were significantly higher than in Group I ( p < .05). HOMA‐IR was found independently associated with large segmented leafy shadow, air bronchial sign, thin‐walled cavity, and bronchial tuberculosis. The level of insulin resistance can effectively reflect the severity of PTB patients with T2DM. CT scan can directly provide image information in clinics. These two examinations can guide clinicians to accurately formulate subsequent treatment plans.