C M Ding, J Yin, F Zhao, Y W Li, Y Zhu, Y B Lyu, X M Shi
{"title":"[Evaluation of serum cotinine cut-off value for distinguishing smoking status among Chinese adults].","authors":"C M Ding, J Yin, F Zhao, Y W Li, Y Zhu, Y B Lyu, X M Shi","doi":"10.3760/cma.j.cn112150-20240902-00696","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To determine the optimal cut-off value of serum cotinine for distinguishing smoking status among Chinese adults based on a large-scale national sample. <b>Methods:</b> A cross-sectional study was conducted among 8 987 Chinese adults aged 20-79 years from 152 administrative counties across 31 provinces during 2017-2018. Sociodemographic characteristics, lifestyle, smoking status, and health status were collected via questionnaires and physical examinations. Blood samples were analyzed for serum cotinine levels using liquid chromatography-mass spectrometry and for blood creatinine levels using the picric acid method. Receiver operating characteristic (ROC) curve analysis was performed with serum cotinine concentration as the test variable and self-reported smoking status as the state variable. The optimal cut-off value was determined based on the maximum Youden's index, and the bootstrap method was used for repeated sampling (2 000 times) to evaluate the confidence interval of the cut-off value. The net reclassification index (NRI) was used to evaluate the discrimination ability of the cut-off value of this study, the cut-off value of the American population 1 (total population: 3.3 μg/L, men: 4.1 μg/L, women: 3.0 μg/L) and the cut-off value of the American population 2 (the recommended value of the United States Centers for Disease Control and Prevention for the total population: 10.0 μg/L) against the smoking status of the Chinese population. Statistical analyses were conducted using IBM SPSS 27 and Python 3.11, with a significance level of α=0.05. <b>Results:</b> The age of the research subjects was (49.2±15.2) years. Among them, males accounted for 49.8% (4 477); smokers accounted for 28.8% (2 586); the detection rate of serum cotinine was 94.6% (8 501), and the <i>M</i> (<i>Q</i><sub>1</sub><i>, Q</i><sub>3</sub>) concentration of serum cotinine was 0.9 (0.3, 85.4) μg/L. The ROC curve analysis results showed that the cut-off value (95%<i>CI</i>) of serum cotinine in the total population was 8.8 (6.7-11.7) μg/L, with the specificity (95%<i>CI</i>) about 93.6%(92.7%-94.3%), the sensitivity (95%<i>CI</i>) about 91.0%(89.7%-92.3%) and the area under the curve (AUC) (95%<i>CI</i>) about 0.93 (0.92-0.94). The cut-off value (95%<i>CI</i>) of cotinine for males was 17.1 (8.8-21.8) μg/L, with the specificity (95%<i>CI</i>) about 90.7%(87.9%-92.0%), the sensitivity (95%<i>CI</i>) about 89.4%(88.4%-92.2%) and the AUC (95%<i>CI</i>) about 0.92 (0.91-0.93). The cut-off value (95%<i>CI</i>) of cotinine for females was 7.4 (3.3-15.0) μg/L, with the specificity (95%<i>CI</i>) about 95.6%(92.7%-96.8%), the sensitivity (95%<i>CI</i>) about 87.6%(81.6%-92.8%) and the AUC (95%<i>CI</i>) about 0.92 (0.87-0.95). The NRI analysis results showed that compared with the cut-off value of the American population 2, the NRI of this study's cut-off values in the total population, males and females were 0.020 (<i>P</i>=0.015), 0.033 (<i>P</i>=0.015) and 0.011 (<i>P</i>=0.380), respectively, indicating that this study's cutoff value could have better classification performance in the total population and males. Compared with the cut-off value of the American population 2, the NRI of the total population in this study was 0.001 (<i>P</i>=0.285). <b>Conclusion:</b> The serum cotinine cut-off value based on the analysis of large sample data in China is more suitable for distinguishing the smoking status of Chinese adults.</p>","PeriodicalId":24033,"journal":{"name":"中华预防医学杂志","volume":"59 7","pages":"1063-1068"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华预防医学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112150-20240902-00696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To determine the optimal cut-off value of serum cotinine for distinguishing smoking status among Chinese adults based on a large-scale national sample. Methods: A cross-sectional study was conducted among 8 987 Chinese adults aged 20-79 years from 152 administrative counties across 31 provinces during 2017-2018. Sociodemographic characteristics, lifestyle, smoking status, and health status were collected via questionnaires and physical examinations. Blood samples were analyzed for serum cotinine levels using liquid chromatography-mass spectrometry and for blood creatinine levels using the picric acid method. Receiver operating characteristic (ROC) curve analysis was performed with serum cotinine concentration as the test variable and self-reported smoking status as the state variable. The optimal cut-off value was determined based on the maximum Youden's index, and the bootstrap method was used for repeated sampling (2 000 times) to evaluate the confidence interval of the cut-off value. The net reclassification index (NRI) was used to evaluate the discrimination ability of the cut-off value of this study, the cut-off value of the American population 1 (total population: 3.3 μg/L, men: 4.1 μg/L, women: 3.0 μg/L) and the cut-off value of the American population 2 (the recommended value of the United States Centers for Disease Control and Prevention for the total population: 10.0 μg/L) against the smoking status of the Chinese population. Statistical analyses were conducted using IBM SPSS 27 and Python 3.11, with a significance level of α=0.05. Results: The age of the research subjects was (49.2±15.2) years. Among them, males accounted for 49.8% (4 477); smokers accounted for 28.8% (2 586); the detection rate of serum cotinine was 94.6% (8 501), and the M (Q1, Q3) concentration of serum cotinine was 0.9 (0.3, 85.4) μg/L. The ROC curve analysis results showed that the cut-off value (95%CI) of serum cotinine in the total population was 8.8 (6.7-11.7) μg/L, with the specificity (95%CI) about 93.6%(92.7%-94.3%), the sensitivity (95%CI) about 91.0%(89.7%-92.3%) and the area under the curve (AUC) (95%CI) about 0.93 (0.92-0.94). The cut-off value (95%CI) of cotinine for males was 17.1 (8.8-21.8) μg/L, with the specificity (95%CI) about 90.7%(87.9%-92.0%), the sensitivity (95%CI) about 89.4%(88.4%-92.2%) and the AUC (95%CI) about 0.92 (0.91-0.93). The cut-off value (95%CI) of cotinine for females was 7.4 (3.3-15.0) μg/L, with the specificity (95%CI) about 95.6%(92.7%-96.8%), the sensitivity (95%CI) about 87.6%(81.6%-92.8%) and the AUC (95%CI) about 0.92 (0.87-0.95). The NRI analysis results showed that compared with the cut-off value of the American population 2, the NRI of this study's cut-off values in the total population, males and females were 0.020 (P=0.015), 0.033 (P=0.015) and 0.011 (P=0.380), respectively, indicating that this study's cutoff value could have better classification performance in the total population and males. Compared with the cut-off value of the American population 2, the NRI of the total population in this study was 0.001 (P=0.285). Conclusion: The serum cotinine cut-off value based on the analysis of large sample data in China is more suitable for distinguishing the smoking status of Chinese adults.
期刊介绍:
Chinese Journal of Preventive Medicine (CJPM), the successor to Chinese Health Journal , was initiated on October 1, 1953. In 1960, it was amalgamated with the Chinese Medical Journal and the Journal of Medical History and Health Care , and thereafter, was renamed as People’s Care . On November 25, 1978, the publication was denominated as Chinese Journal of Preventive Medicine . The contents of CJPM deal with a wide range of disciplines and technologies including epidemiology, environmental health, nutrition and food hygiene, occupational health, hygiene for children and adolescents, radiological health, toxicology, biostatistics, social medicine, pathogenic and epidemiological research in malignant tumor, surveillance and immunization.