HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation
Abstract Idiopathic pulmonary fibrosis (IPF) is a life-threatening interstitial lung disease. Identifying biomarkers for early diagnosis is of great clinical importance. The epididymis protein 4 (HE4) is important in the process of inflammation and fibrosis in the epididymis. Its prognostic value in...
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| Format: | Article |
| Language: | English |
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BMC
2024-04-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-024-01829-0 |
| _version_ | 1797199547105017856 |
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| author | Mi Tian Xiaohui Zhu Lijun Ren Xuan Zhou Lina GU Kaifang Meng Yaqiong Tian Hourong Cai Xiaoqin Liu Jingjing Ding |
| author_facet | Mi Tian Xiaohui Zhu Lijun Ren Xuan Zhou Lina GU Kaifang Meng Yaqiong Tian Hourong Cai Xiaoqin Liu Jingjing Ding |
| author_sort | Mi Tian |
| collection | DOAJ |
| description | Abstract Idiopathic pulmonary fibrosis (IPF) is a life-threatening interstitial lung disease. Identifying biomarkers for early diagnosis is of great clinical importance. The epididymis protein 4 (HE4) is important in the process of inflammation and fibrosis in the epididymis. Its prognostic value in IPF, however, has not been studied. The mRNA and protein levels of HE4 were used to determine the prognostic value in different patient cohorts. In this study, prognostic nomograms were generated based on the results of the cox regression analysis. We identified the HE4 protein level increased in IPF patients, but not the HE4 gene expression. The increased expression of HE4 correlated positively with a poor prognosis for patients with IPF. The HR and 95% CI were 2.62 (1.61–4.24) (p < 0.001) in the training set. We constructed a model based on the risk-score = 0.16222182 * HE4 + 0/0.37580659/1.05003609 (for GAP index 0–3/4–5/6–8) + (− 1.1183375). In both training and validation sets, high-risk patients had poor prognoses (HR: 3.49, 95%CI 2.10–5.80, p = 0.001) and higher likelihood of dying (HR: 6.00, 95%CI 2.04–17.67, p = 0.001). Analyses of calibration curves and decision curves suggest that the method is effective in predicting outcomes. Furthermore, a similar formulation was used in a protein-based model based on HE4 that also showed prognostic value when applied to IPF patients. Accordingly, HE4 is an independent poor prognosis factor, and it has the potential to predict IPF patient survival. |
| first_indexed | 2024-04-24T07:17:29Z |
| format | Article |
| id | doaj.art-794993b31d7b4897a82e510aeb5f0876 |
| institution | Directory Open Access Journal |
| issn | 2047-783X |
| language | English |
| last_indexed | 2024-04-24T07:17:29Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj.art-794993b31d7b4897a82e510aeb5f08762024-04-21T11:13:00ZengBMCEuropean Journal of Medical Research2047-783X2024-04-0129111110.1186/s40001-024-01829-0HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validationMi Tian0Xiaohui Zhu1Lijun Ren2Xuan Zhou3Lina GU4Kaifang Meng5Yaqiong Tian6Hourong Cai7Xiaoqin Liu8Jingjing Ding9Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical SchoolDepartment of Respiratory, The Fourth Affiliated Hospital of Nanjing Medical UniversityDepartment of Pulmonary and Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese MedicineDepartment of Respiratory, The Fourth Affiliated Hospital of Nanjing Medical UniversityDepartment of Nephrology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese MedicineDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical UniversityDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical SchoolDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical SchoolDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical SchoolDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical SchoolAbstract Idiopathic pulmonary fibrosis (IPF) is a life-threatening interstitial lung disease. Identifying biomarkers for early diagnosis is of great clinical importance. The epididymis protein 4 (HE4) is important in the process of inflammation and fibrosis in the epididymis. Its prognostic value in IPF, however, has not been studied. The mRNA and protein levels of HE4 were used to determine the prognostic value in different patient cohorts. In this study, prognostic nomograms were generated based on the results of the cox regression analysis. We identified the HE4 protein level increased in IPF patients, but not the HE4 gene expression. The increased expression of HE4 correlated positively with a poor prognosis for patients with IPF. The HR and 95% CI were 2.62 (1.61–4.24) (p < 0.001) in the training set. We constructed a model based on the risk-score = 0.16222182 * HE4 + 0/0.37580659/1.05003609 (for GAP index 0–3/4–5/6–8) + (− 1.1183375). In both training and validation sets, high-risk patients had poor prognoses (HR: 3.49, 95%CI 2.10–5.80, p = 0.001) and higher likelihood of dying (HR: 6.00, 95%CI 2.04–17.67, p = 0.001). Analyses of calibration curves and decision curves suggest that the method is effective in predicting outcomes. Furthermore, a similar formulation was used in a protein-based model based on HE4 that also showed prognostic value when applied to IPF patients. Accordingly, HE4 is an independent poor prognosis factor, and it has the potential to predict IPF patient survival.https://doi.org/10.1186/s40001-024-01829-0IPFHE4Clinical prediction modelGAP index |
| spellingShingle | Mi Tian Xiaohui Zhu Lijun Ren Xuan Zhou Lina GU Kaifang Meng Yaqiong Tian Hourong Cai Xiaoqin Liu Jingjing Ding HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation European Journal of Medical Research IPF HE4 Clinical prediction model GAP index |
| title | HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation |
| title_full | HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation |
| title_fullStr | HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation |
| title_full_unstemmed | HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation |
| title_short | HE4-based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis: construction and validation |
| title_sort | he4 based nomogram for predicting overall survival in patients with idiopathic pulmonary fibrosis construction and validation |
| topic | IPF HE4 Clinical prediction model GAP index |
| url | https://doi.org/10.1186/s40001-024-01829-0 |
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