Internet of things based early warning model for lung cancer in COPD patients
10.3969/j.issn.1673-9701.2024.02.003
- VernacularTitle:基于物联网的肺癌早期预警模型在COPD患者中的应用
- Author:
Cunlai XU
1
;
Zhuo CAO
2
;
Yiwei JIANG
2
;
Xin WANG
2
;
Xinyi WANG
2
Author Information
1. Department of Respiratory and Critical Care, Lishui People’s Hospital, Lishui 323000, Zhejiang, China
2. Department of Respiratory and Critical Care, Lishui People’s Hospital, Lishui 323000, Zhejiang, China; The First Clinical Medical College of Wenzhou Medical University, Wenzhou 325035, Zhejiang, China
- Publication Type:Journal Article
- Keywords:
Pulmonary nodule;
Lung cancer screening;
MiRNA;
Internet of things
- From:
China Modern Doctor
2024;62(2):10-14
- CountryChina
- Language:Chinese
-
Abstract:
Objective To use the Internet of things based early warning model of lung cancer to perform early lung cancer screening among chronic obstructive pulmonary disease(COPD)patients in Lishui City.Methods Patients with COPD diagnosed in our hospital from July 2021 to June 2022 underwent plain chest CT,and the 300 patients who had lung nodules detected and agreed to participate in the study were completed with lung nodule target scan + two-and three-dimensional reconstruction to detect gene polymorphisms of CYP1A1,GST and XRCC1 and mirna130a and mir204-5p in peripheral blood.Asked to wear smart hand ring for 10 hours every day while awake from July 2022 to September 2022 to detect vital signs and exercise volume.Review lung nodule target scan + two three dimensional reconstruction in October 2022.If the nodules were larger than before,the patient was truthfully informed of the results.The patient and the specialist of our hospital discussed whether to carry out lung puncture for pathology.Patients with pathologically confirmed lung cancer were progression group and the rest were stable group.Results Totally 240 patients were in the stable group,48 patients were in the progression group,12 patients continued to follow-up after consultation by physicians.There were significant differences in adiposity,mean oximetry,nadir oximetry,forced vital capacity(FVC)predicted,exercise capacity,and lung nodule diameter between the two groups.The expression levels of peripheral mirna-130a,mirna-204-5p were significantly different between the two groups(P<0.001).There were significant differences in CYP1A1,GST,and XRCC1 genotypes in peripheral blood between stable and progressive patients.The areas under the receiver operating characteristic(ROC)curves were mean oxygen saturation(0.681),lowest oxygen saturation(0.735),FVC predicted(0.781),exercise(0.835),lung nodule length diameter(0.825),peripheral blood mirna-130a(0.796),mirna-204-5p(0.893).Conclusion The Internet of things based early warning model for lung cancer can be used for lung cancer screening among COPD patients.
