| Objective:the breath analysis technique has characteristics of noninvasive,simple and rapid,which provides a promising method for early screening and diagnosis of major chronic diseases.At present,to solve the challenge to the clinical application of breath analysis in the diagnosis of major chronic diseases is to develop advanced breathing gas analysis technology and equipment,a real-time,online,highly sensitive and selective breath gas analysis was conducted on a specific disease population,to establish a quantitative correlation between breath biomarkers and diagnostic parameters of human abnormalities(disease,health,external environmental impact).Method:Used the breathing acetone analyzer based on the technology of cavity ring-down spectroscopy(CRDS),measured acetone in breath of 200 healthy volunteers and 17 cases of patients with type 1 diabetes(T1D),at the same time,the acetone in breath datas of 65 healthy volunteers,300 type 2 diabetes(T2D)patients and 22 T1D patients accumulated in the previous laboratory work were re-analyzed.All the above volunteers were all sampled under conditions including exercise,stress,diet and disease,to evaluate the role of fasting acetone and associated with its influence factors in diabetes screening.Fractional exhaled nitric oxide(FeNO)levels in 456 patients with primary lung cancer and 284 healthy volunteers were measured by using a FeNO detection and analysis system based on CRDS technology.FeNO concentration data and clinical indicators were statistically analyzed to evaluate the application of FeNO in lung cancer screening.Results:The concentration of acetone in breath during fasted of T1D patients(2.24±1.43 ppmv)was significantly higher than that of healthy people(1.4310.55 ppmv)and T2D patients(1.41±0.73 ppmv).The concentration of acetone in male patients was higher than that in female patients.There was a positive correlation between the concentration of acetone in fasting and the age of healthy people(R=0.312).There was a positive correlation between fasting acetone concentration and BMI in T1D patients(R=0.33).The concentration of acetone in T2D patients was positively correlated with their height(R=0.18).The concentration of acetone in fasting respiration was significant for the diagnosis of T1D(AUC=0.853),and the combination of BMI was significant for the diagnosis of T1D(AUC=0.886).The combination of gender and height of acetone concentration in fasting respiration were significant for the diagnosis of T2D(AUC=0.672).FeNO levels in patients with primary lung cancer(34.13±17.21 ppbv)were higher than those in healthy controls(20.95±12.12 ppbv).There were no significant differences in lung cancer type,stage,gender,smoking status,age,BMI,fasting,etc.FeNO levels were helpful in assessing lung cancer patients(AUC=0.728,sensitivity=0.798,specificity=0.55,P<0.01).Conclusion:clinical indicators of respiratory acetone combined with diabetes mellitus have potential application in the diagnosis of T1D and T2D.FeNO analysis based on CRDS technology is expected to provide some diagnostic basis for lung cancer. |