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Capnography shows high diagnostic accuracy for diabetic ketoacidosis in meta-analysis

Capnography shows high diagnostic accuracy for diabetic ketoacidosis in meta-analysis
Photo by Dmytro Vynohradov / Unsplash
Key Takeaway
Consider capnography as a potential auxiliary tool for DKA diagnosis pending RCT validation.

This systematic review and meta-analysis evaluated the diagnostic accuracy of capnography (end-tidal CO₂ measurement) for diabetic ketoacidosis. The analysis included 7 observational studies (2 cohort, 5 cross-sectional) with 1,123 diabetic patients total (322 with DKA, 801 without DKA). EtCO₂ levels were significantly lower in DKA patients compared to non-DKA patients, with a standardized mean difference of -1.80 (95% CI: -2.33 to -1.28, p < 0.001). The odds ratio for DKA with lower EtCO₂ was 0.03 (95% CI: 0.01-0.09, p < 0.001).

The pooled sensitivity of EtCO₂ for detecting DKA was 0.91 (95% CI: 0.87-0.94), and pooled specificity was 0.90 (95% CI: 0.81-0.94). This indicates that capnography correctly identified 91% of true DKA cases and correctly ruled out DKA in 90% of non-DKA cases. Safety and tolerability data were not reported in the included studies.

Key limitations include the observational nature of all included studies (cohort and cross-sectional designs), which precludes causal inference. The analysis requires validation in randomized controlled trials and diverse clinical settings. The study setting was not reported, limiting generalizability. While capnography is non-invasive and readily available, these findings should be interpreted cautiously as supporting evidence for its potential role as an auxiliary diagnostic tool rather than definitive validation.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
OBJECTIVE: The study investigates the role of capnography as an auxiliary diagnostic tool for diagnosing diabetic ketoacidosis (DKA) in order to reduce treatment delays and associated morbidities. METHODS: A registered protocol followed PRISMA guidelines and included all diabetic patients undergoing capnography, excluding those with metabolic disturbances unrelated to DKA. A comprehensive review of electronic medical resources was performed, with quality assessment conducted using the Newcastle-Ottawa Scale (NOS). Heterogeneity was expressed using Cochran's Q statistic, along with I² and tau-squared (τ²) statistics. Potential publication bias was evaluated through the Egger test and funnel plots, utilizing Comprehensive Meta-Analysis (CMA) and Stata/MP 17 for the analyses. RESULTS: Seven studies, including two cohort and five cross-sectional, were analyzed. Among the participants, 322 (28.67%) were diagnosed with DKA, while 801 (71.33%) were not. The main outcome assessed was DKA diagnosis using capnography. The analysis of studies has revealed a statistically significant difference in EtCO₂ levels (standardized mean difference: -1.80, 95% CI: -2.33 to -1.28, p < 0.001), the pooled EtCO₂ odds ratio (OR: 0.03, 95% CI: 0.01-0.09, p < 0.001), and a pooled standardized mean difference (SMD) (-1.80, 95% CI: -2.33 to -1.28, p < 0.001) between DKA and non-DKA patients. The pooled sensitivity of EtCO₂ for DKA was 0.91 (95%CI: 0.87, 0.94), and the pooled specificity was 0.90 (95%CI: 0.81, 0.94). CONCLUSION: The measurement of EtCO₂ by capnography, a non-invasive and readily available tool, may facilitate the expedited diagnosis of DKA in diabetic patients, pending further validation in RCTs and diverse settings.
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