4.4 Review

Accuracy of breath test for diabetes mellitus diagnosis: a systematic review and meta-analysis

Journal

BMJ OPEN DIABETES RESEARCH & CARE
Volume 9, Issue 1, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjdrc-2021-002174

Keywords

diabetes mellitus; experimental; diagnostic techniques and procedures; biomarkers; meta-analysis

Funding

  1. Zhejiang Provincial Natural Science Foundation of China [LQ20B070001]
  2. National Natural Science Foundation of China [71774147]
  3. Hangzhou Agricultural and Social Development Research Project [20201203B178]
  4. Hangzhou Soft Science Project [20200834M23]

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This study investigated the accuracy of breath tests in diagnosing diabetes mellitus and identified potential biomarkers in exhaled volatile organic compounds, while also summarizing the prospects and challenges in the field. The results showed isotopic CO2 to be the optimal breath biomarker for diabetes diagnosis, with acetone being the most widely reported biomarker with moderate diagnostic accuracy. Validation and standardization are still needed for further development in subject control, breath sampling, and analysis.
The review aimed to investigate the accuracy of breath tests in the diagnosis of diabetes mellitus, identify exhaled volatile organic compounds with the most evidence as potential biomarkers, and summarize prospects and challenges in diabetic breath tests. Databases including Medline, PubMed, EMBASE, Cochrane Library and Science Citation Index Expanded were searched. Human studies describing diabetic breath analysis with more than 10 subjects as controls and patients were included. Population demographics, breath test conditions, biomarkers, analytical techniques and diagnostic accuracy were extracted. Quality assessment was performed with the Standards for Reporting Diagnostic Accuracy and a modified QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2). Forty-four research with 2699 patients with diabetes were included for qualitative data analysis and 14 eligible studies were used for meta-analysis. Pooled analysis of type 2 diabetes breath test exhibited sensitivity of 91.8% (95% CI 83.6% to 96.1%), specificity of 92.1% (95% CI 88.4% to 94.7%) and area under the curve (AUC) of 0.96 (95% CI 0.94 to 0.97). Isotopic carbon dioxide (CO2) showed the best diagnostic accuracy with pooled sensitivity of 0.949 (95% CI 0.870 to 0.981), specificity of 0.946 (95% CI 0.891 to 0.975) and AUC of 0.98 (95% CI 0.97 to 0.99). As the most widely reported biomarker, acetone showed moderate diagnostic accuracy with pooled sensitivity of 0.638 (95% CI 0.511 to 0.748), specificity of 0.801 (95% CI 0.691 to 0.878) and AUC of 0.79 (95% CI 0.75 to 0.82). Our results indicate that breath test is a promising approach with acceptable diagnostic accuracy for diabetes mellitus and isotopic CO2 is the optimal breath biomarker. Even so, further validation and standardization in subject control, breath sampling and analysis are still required.

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