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Keywords = PaCO2–ETCO2 gap

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16 pages, 912 KB  
Article
An Early Warning Marker in Acute Respiratory Failure: The Prognostic Significance of the PaCO2–ETCO2 Gap During Noninvasive Ventilation
by Süleyman Kırık, Mehmet Göktuğ Efgan, Ejder Saylav Bora, Uğur Tavşanoğlu, Hüseyin Özkan Öz, Burak Acar and Sedat Yıldızlı
Medicina 2026, 62(1), 197; https://doi.org/10.3390/medicina62010197 (registering DOI) - 17 Jan 2026
Abstract
Background and Objectives: Acute respiratory failure (ARF) has a heterogeneous course in the emergency department (ED), and early prediction of noninvasive mechanical ventilation (NIMV) failure is difficult. The PaCO2–ETCO2 gap reflects ventilation–perfusion mismatch and increased physiologic dead space; however, [...] Read more.
Background and Objectives: Acute respiratory failure (ARF) has a heterogeneous course in the emergency department (ED), and early prediction of noninvasive mechanical ventilation (NIMV) failure is difficult. The PaCO2–ETCO2 gap reflects ventilation–perfusion mismatch and increased physiologic dead space; however, the prognostic value of its short-term change during NIMV is unclear. This study evaluated baseline, post-treatment, and delta (post–pre) PaCO2–ETCO2 gap values for predicting intubation, intensive care unit (ICU) admission, and mortality in ED patients with ARF receiving NIMV. Materials and Methods: This prospective observational study enrolled adults (≥18 years) treated with NIMV in a tertiary ED. Exclusion criteria included GCS < 15, intoxication, pneumothorax, trauma, pregnancy, gastrointestinal bleeding, need for immediate intubation/CPR, or incomplete data. ETCO2 was recorded within the first 3 min of NIMV and at 30 min; concurrent arterial blood gases provided PaCO2. The PaCO2–ETCO2 gap was calculated at both time points and as delta. Outcomes were intubation, ICU admission, and mortality. ROC analyses determined discriminatory performance and cutoffs using the Youden index. Results: Thirty-four patients were included (50% female; mean age 73.26 ± 10.07 years). Intubation occurred in 9 (26.5%), ICU admission in 20 (58.8%), and mortality in 10 (29.4%). The post-treatment gap and delta gap were significantly higher in intubated patients (p = 0.007 and p = 0.001). For predicting intubation, post-treatment gap > 10.90 mmHg yielded AUC 0.807 (p = 0.007; sensitivity 77.8%, specificity 76.0), while delta gap > 2.90 mmHg yielded AUC 0.982 (p = 0.001; sensitivity 88.9%, specificity 92.0). Delta gap also predicted ICU admission (cutoff > 0.65 mmHg; AUC 0.746, p = 0.016) and mortality (cutoff > 2.90 mmHg; AUC 0.865, p = 0.001). Conclusions: In ED ARF patients receiving NIMV, an increasing PaCO2–ETCO2 gap—especially the delta gap—was associated with higher risks of intubation, ICU admission, and mortality, supporting serial CO2 gap monitoring as a practical early warning marker of deterioration. Full article
(This article belongs to the Section Intensive Care/ Anesthesiology)
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11 pages, 697 KB  
Article
Estimation of Arterial Carbon Dioxide Based on End-Tidal Gas Pressure and Oxygen Saturation
by Raisa Rentola, Johanna Hästbacka, Erkki Heinonen, Per H. Rosenberg, Tom Häggblom and Markus B. Skrifvars
J. Clin. Med. 2018, 7(9), 290; https://doi.org/10.3390/jcm7090290 - 19 Sep 2018
Cited by 9 | Viewed by 4175
Abstract
Arterial blood gas (ABG) analysis is the traditional method for measuring the partial pressure of carbon dioxide. In mechanically ventilated patients a continuous noninvasive monitoring of carbon dioxide would obviously be attractive. In the current study, we present a novel formula for noninvasive [...] Read more.
Arterial blood gas (ABG) analysis is the traditional method for measuring the partial pressure of carbon dioxide. In mechanically ventilated patients a continuous noninvasive monitoring of carbon dioxide would obviously be attractive. In the current study, we present a novel formula for noninvasive estimation of arterial carbon dioxide. Eighty-one datasets were collected from 19 anesthetized and mechanically ventilated pigs. Eleven animals were mechanically ventilated without interventions. In the remaining eight pigs the partial pressure of carbon dioxide was manipulated. The new formula (Formula 1) is PaCO2 = PETCO2 + k(PETO2 − PaO2) where PaO2 was calculated from the oxygen saturation. We tested the agreements of this novel formula and compared it to a traditional method using the baseline PaCO2 − ETCO2 gap added to subsequently measured, end-tidal carbon dioxide levels (Formula 2). The mean difference between PaCO2 and calculated carbon dioxide (Formula 1) was 0.16 kPa (±SE 1.17). The mean difference between PaCO2 and carbon dioxide with Formula 2 was 0.66 kPa (±SE 0.18). With a mixed linear model excluding cases with cardiorespiratory collapse, there was a significant difference between formulae (p < 0.001), as well as significant interaction between formulae and time (p < 0.001). In this preliminary animal study, this novel formula appears to have a reasonable agreement with PaCO2 values measured with ABG analysis, but needs further validation in human patients. Full article
(This article belongs to the Special Issue Cardiovascular and Neurological Emergency)
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