The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis.

Journal: Frontiers in immunology
PMID: 39917305

Abstract

BACKGROUND: Severe Community-Acquired Pneumonia (SCAP) is a serious global health issue with high incidence and mortality rates. In recent years, the role of biomarkers such as Connective Tissue Growth Factor (CTGF) and Milk Fat Globule-Epidermal Growth Factor 8 (MFG-E8) in disease diagnosis and prognosis has increasingly gained attention. However, their specific functions in SCAP have still remained unclear. By conducting a prospective analysis, this study has explored the relationship between these two proteins and the diagnosis and mortality of SCAP patients. Additionally, founded on comparing the applications of machine learning and nomograms as predictive models in forecasting the 28-day mortality risk of SCAP patients, this paper has discussed their performance in different medical scenarios to provide more accurate treatment options and improve prognosis.

Authors

  • Tingting Lin
    Department of Respiratory Medicine, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, China.
  • Huimin Wan
    Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Jie Ming
    Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yifei Liang
    Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Linxin Ran
    Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Jingjing Lu

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