Soluble form of suppression of tumorigenicity-2 predicts clinical stability of inpatients with community-acquired pneumonia. Issue 21 (November 2021)

• Record Type: Journal Article
• Authors: Zeng, Yifeng; Xue, Mingshan; Zhang, Teng; Sun, Shixue; Lin, Runpei; Li, Ning; Zheng, Peiyan; Zhen, Yingjie; Hu, Haisheng; Zhang, Xiaohua Douglas; Sun, Baoqing
• Is Part Of: Experimental biology and medicine. Volume 246:Issue 21(2021)
• Page Start: 2297
• Page End: 2306
• Publication Date: 2021-11
• Subjects: Tumorigenicity-2 -- pneumonia -- CURB-65 -- prognosis -- classification -- pneumonia severity index; Physiology -- Periodicals; Biology, Experimental -- Periodicals; Medicine, Experimental -- Periodicals; 610.72
• DOI: 10.1177/15353702211027116
• Languages: English
• ISSNs: 1535-3702

Abstract

The soluble form of the suppression of tumorigenicity-2 (sST2) is a biomarker for risk classification and prognosis of heart failure, and its production and secretion in the alveolar epithelium are significantly correlated with the inflammation-inducing in pulmonary diseases. However, the predictive value of sST2 in pulmonary disease had not been widely studied. This study investigated the potential value in prognosis and risk classification of sST2 in patients with community-acquired pneumonia. Clinical data of ninety-three CAP inpatients were retrieved and their sST2 and other clinical indices were studied. Cox regression models were constructed to probe the sST2's predictive value for patients' restoring clinical stability and its additive effect on pneumonia severity index and CURB-65 scores. Patients who did not reach clinical stability within the defined time (30 days from hospitalization) have had significantly higher levels of sST2 at admission ( P < 0.05). In univariate and multivariate Cox regression analysis, a high sST2 level (≥72.8 ng/mL) was an independent reverse predictor of clinical stability ( P < 0.05). The Cox regression model combined with sST2 and CURB-65 (AUC: 0.96) provided a more accurate risk classification than CURB-65 (AUC:0.89) alone (NRI: 1.18, IDI: 0.16, P < 0.05). The Cox regression model combined with sST2 and pneumonia severity index (AUC: 0.96) also provided a more accurate risk classification than pneumonia severity index (AUC:0.93) alone (NRI: 0.06; IDI: 0.06, P < 0.05). sST2 at admission can be used as an independent early prognostic indicator for CAP patients. Moreover, it can improve the predictive power of CURB-65 and pneumonia severity index score.