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Korean J Helicobacter  Up Gastrointest Res > Volume 26(2); 2026 > Article
Kim, Choi, Jeen, Chun, and Keum: End-Tidal CO2 Instability Predicts Hypoxia and Optimizes Sedation Safety During Endoscopic Submucosal Dissection

Abstract

Objectives

Endoscopic submucosal dissection (ESD) requires deeper and more prolonged sedation than standard endoscopic procedures, increasing the risk of ventilation-related complications. We aimed to evaluate the utility of capnographic monitoring during ESD, specifically its capacity to detect early respiratory compromise compared with conventional pulse oximetry, and to assess the efficacy of nasal high-flow oxygenation (NHFO) in managing hypoxia.

Methods

In this prospective observational study, we enrolled 98 consecutive patients who underwent ESD with both capnographic and conventional monitoring. End-tidal carbon dioxide (EtCO2) was recorded at one-minute intervals. Patients were stratified into hypoxic and nonhypoxic groups based on the occurrence of intraprocedural oxygen desaturation. We compared demographic and procedural factors between groups and analyzed the therapeutic efficacy of NHFO in patients developing hypoxia. Multivariate logistic regression was performed to identify independent predictors of hypoxia.

Results

EtCO2 instability was independently associated with intraprocedural hypoxia (odds ratio, 2.427; p=0.002). Predictors of EtCO2 instability included a higher Mallampati score, a tendency toward oral breathing, and lower baseline oxygenation. NHFO substantially improved peripheral oxygen saturation and sedation quality in patients with hypoxia.

Conclusions

EtCO2 instability serves as an early indicator of hypoxia during ESD. Continuous EtCO2 monitoring facilitates the early detection of respiratory compromise, enabling timely intervention. Furthermore, NHFO reduces the need for awakening patients or adjusting sedation, thereby improving safety and procedural stability. Combining capnography with NHFO enhances patient safety and procedural efficiency during ESD.

INTRODUCTION

Endoscopic submucosal dissection (ESD) has emerged as the standard treatment for early gastric cancer. However, the procedure is time-consuming and technically demanding; furthermore, unexpected patient movement increases the risk of complications related to procedural errors. Therefore, ESD requires deeper and more prolonged sedation than diagnostic endoscopy [1]. However, deep sedation carries a risk of hypoventilation and hypoxia. In the context of sedation-related respiratory complications during ESD, a randomized clinical trial comparing midazolam and propofol reported hypoxemia incidences of 21.1% and 14.8%, respectively [2]. Thus, standard patient monitoring protocols mandate pulse oximetry and blood pressure measurement.
However, monitoring peripheral capillary oxygen saturation (SpO2) does not ensure adequate ventilation. In the absence of hypoxemia, ventilation is primarily driven by arterial carbon dioxide (CO2) tension, a parameter undetectable by pulse oximetry. Capnography measures the concentration of end-tidal carbon dioxide (EtCO2), offering a noninvasive, continuous, and quantitative display of respiratory activity via waveforms representing expiration (crests) and inspiration (troughs). However, the clinical utility of capnographic monitoring during endoscopic procedures remains a subject of debate [3]. The benefit and cost-effectiveness of capnography in this setting have been questioned [4,5]. This uncertainty arises because EtCO2 monitoring poses technical challenges during endoscopic procedures. Unlike general anesthesia, moderate sedation may lead to voluntary or passive body movements; furthermore, frequent belching caused by endoscopic air insufflation results in extreme EtCO2 values, leading to false alarms. Our preliminary internal data also indicated a suboptimal level of patient monitoring using capnography. Given these limitations, measuring absolute EtCO₂ values—such as transient increases or decreases—may fail to accurately capture a patient’s ventilatory status during endoscopy. This is particularly relevant for procedures involving frequent body movements or belching, which introduce substantial artifacts. Consequently, we hypothesized that the pattern and magnitude of EtCO₂ fluctuation over time—termed “EtCO₂ instability”—might more accurately reflect true respiratory compromise.
This pilot observational study examined the correlation between EtCO2 instability (and other EtCO2-related variables) and hypoxic events during ESD. We also assessed the efficacy of nasal high-flow oxygenation (NHFO) in patients with hypoxia, aiming to maintain sufficient oxygenation without discontinuing propofol infusion or awakening the patient.

METHODS

Study population

The study protocol was reviewed and approved by the Institutional Review Board of the Korea University Anam Hospital Clinical Trial Center (2018AN0309). The trial was registered with the Clinical Research Information Service of the Korea Centers for Disease Control and Prevention (KCT0003817). We enrolled consecutive patients presenting for elective gastric or colorectal ESD at our endoscopy unit during the investigators’ (K.S.H. and K.B.R.) designated research days, provided they met the following inclusion criteria: 1) age ≥18 years; 2) American Society of Anesthesiologists (ASA) physical status class I– III; and 3) ability to provide written informed consent. Exclusion criteria were as follows: 1) hypersensitivity to midazolam or propofol; 2) ASA physical status class IV or V; 3) inability to provide informed consent; 4) pregnancy; 5) pre-existing hypotension (systolic blood pressure <90 mm Hg), bradycardia (heart rate <50 bpm), hypoxemia (SpO2 <90%), or acute respiratory illness; and 6) history of recent otorhinolaryngologic surgery. All participants provided written informed consent.

Study design

This single-center observational study was conducted at Korea University Medical Center (KUMC) between September 2018 and January 2019. All patients scheduled for ESD underwent eligibility screening prior to enrollment. Eligible patients were admitted one day prior to the procedure and underwent preoperative assessment, including laboratory analysis, chest radiography, pulmonary function testing, and medical history review. The study was conducted in accordance with the Declaration of Helsinki. All patients underwent standard monitoring (blood pressure, heart rate, and pulse oximetry), receiving supplemental oxygen via a capnographic nasal cannula (2 L/min) during sedation. To minimize abdominal distension and exclude potential artifacts in EtCO2 measurement arising from exogenous gas absorption, room air was used exclusively for insufflation; CO2 insufflation was avoided. Concurrent with standard monitoring, EtCO2 fluctuations were assessed using a dedicated capnography device (Capnostream 20; Oridion Medical). EtCO2 values were recorded at one-minute intervals by a designated endoscopist; extreme values attributed to belching or oral respiration were excluded from analysis. “Altered ventilation” was defined as a flat capnogram for >5 seconds or a >50% reduction in wave amplitude compared with baseline, accompanied by a respiratory rate of <10 breaths/min [6].
Patients experiencing sustained hypoxia (defined as a >5% decrease in SpO2 from baseline lasting >10 seconds) were randomized via computer-generated software to receive either standard oxygen therapy (non-NHFO group; nasal cannula at 4 L/min) or high-flow therapy (NHFO group; 37°C, 45 L/min, 36% O2) to correct the hypoxic event. Endoscopist-directed balanced propofol sedation was employed to maintain an adequate sedation level. Midazolam (2–2.5 mg) was administered for pre-induction, followed by a propofol bolus (10–40 mg; maximum 0.5 mg/kg). Additional titrated propofol boluses (10–20 mg) were administered to achieve and maintain the target sedation level. Post-randomization SpO2 changes were recorded by an independent endoscopist blinded to group assignment.

Outcomes

The primary outcome was the difference in EtCO₂ instability between the nonhypoxic and hypoxic groups. EtCO₂ instability was defined as the standard deviation (SD) of EtCO₂ values recorded during the first 30 minutes of the procedure. This timeframe was selected to capture the critical induction and early maintenance phases, during which sedation-induced respiratory depression is most likely to occur. The secondary outcome was the therapeutic efficacy of NHFO. SpO₂ levels and sedation quality were compared between the NHFO and non-NHFO groups using paired t-tests. Sedation quality was quantified using the KUMC Sedation Index, calculated by summing three parameters: the per-minute average Modified Observer’s Assessment of Alertness/Sedation score, the incidence of tachypnea (respiratory rate >25 breaths/min), and the frequency of substantial body movements.

Statistical analysis

Continuous variables were expressed as mean±SD and compared using the t-test or Mann–Whitney U test, contingent on the normality of data distribution. Categorical variables were presented as frequencies and proportions, and compared using the chi-square test or Fisher’s exact test, as appropriate. Binary logistic regression was performed to identify factors associated with hypoxia and to estimate odds ratios (OR). Variables including age, body mass index, pulmonary function, smoking history, Mallampati score, underlying lung disease, history of sleep apnea, oral respiration, baseline SpO₂, and EtCO₂ instability were initially evaluated via univariate analysis; those with a p-value <0.15 were included in the multivariate logistic regression model. Linear regression analysis was utilized to identify predictors of EtCO₂ instability. Variables with a variance inflation factor (VIF) >10 were excluded to prevent multicollinearity. All variables in the final model demonstrated VIF values <2.5, indicating the absence of substantial multicollinearity. Paired t-tests were used to compare oxygenation and sedation quality before and after NHFO therapy. As this was a pilot study regarding NHFO use during ESD lacking reference data for effect size, no formal sample size calculation was performed prior to the trial.

RESULTS

Between September 2018 and January 2019, 103 patients underwent eligibility screening. Five patients were excluded (two for pre-existing hypotension and three for acute respiratory illness); consequently, 98 eligible patients underwent both capnographic and conventional monitoring. Approximately 17.7% of EtCO₂ data points recorded within the first 30 minutes were excluded from analysis to ensure signal fidelity, primarily due to artifacts attributed to belching or oral breathing. Of the included population, 28 (28.5%) patients developed intraprocedural hypoxia (Fig. 1).
Table 1 presents the comparison of baseline characteristics between the nonhypoxic and hypoxic groups. Although most variables were comparable, the hypoxic group exhibited a significantly higher prevalence of Mallampati class III–IV (35.7% vs. 10.0%; p=0.002), sleep apnea (21.4% vs. 1.4%; p=0.002), and obstructive lung disease (21.4% vs. 2.9%; p=0.002). Procedural comparisons revealed that EtCO₂ instability was significantly higher in the hypoxic group (5.449 vs. 2.811; p<0.001), accompanied by a higher incidence of altered ventilation and transient oral respiration (Table 2). Receiver operating characteristic curve analysis identified an EtCO₂ instability cutoff value of 4.33 (SD) for predicting hypoxia (area under the curve=0.806), yielding a specificity of 87.1% and sensitivity of 64.3%.
In patients progressing from altered ventilation to hypoxia, the mean interval between events was 84 seconds. Logistic regression analysis identified EtCO₂ instability (OR=2.417; p=0.002), higher Mallampati score, oral respiration, lower baseline SpO₂, and underlying obstructive lung disease as independent predictors of hypoxia (Table 3). Furthermore, Mallampati score, oral respiration, and lower baseline SpO₂ were significantly associated with increased EtCO₂ instability (Table 4).
In patients treated with NHFO (n=16), SpO₂ levels rapidly normalized (Fig. 2). Paired t-test analysis confirmed a significant increase in mean SpO₂ from 95.77±1.49 to 99.25±0.48 (p<0.001); moreover, sedation quality was maintained or improved overall (Fig. 3). Comparison between the NHFO (n=16) and non-NHFO (n=12) groups revealed significantly greater oxygenation improvement in the NHFO group (99.25±0.48 vs. 97.75±1.54; p=0.006). However, sedation quality did not differ significantly between groups (0.564±0.428 vs. 0.766±0.389; p=0.212). No adverse events were observed during or following NHFO therapy.

DISCUSSION

Procedural sedation improves patient tolerance and enhances procedural stability during endoscopy; however, depending on dosage and individual susceptibility, it may induce sedation-related respiratory depression. Early detection and prompt management are paramount for ensuring patient safety. Nevertheless, early episodes of respiratory depression often remain undetected by visual assessment and pulse oximetry [7].
Hypoventilation is accompanied by simultaneous decreases in EtCO2, which precede SpO2 desaturation [7]. Similarly, our study demonstrated that altered ventilation precedes hypoxia in most patients by a quantifiable interval. However, distinguishing whether a specific fluctuation in EtCO2 indicates a clinically significant ventilation disturbance poses challenges [8,9]. This issue is particularly pronounced in gastric ESD, specifically when trans-endoscopic CO2 insufflation is employed. Although EtCO2 is sensitive to hypoventilation, it is highly susceptible to artifacts caused by belching or body movement, resulting in frequent false alarms. Consequently, monitoring EtCO2 values may have limited utility during endoscopy. Reliance on EtCO2 values alone may generate multiple false alarms well in advance of a significant hypoxic event, largely due to procedural artifacts such as belching. In contrast, monitoring EtCO2 instability identifies patients at increased risk of subsequent hypoxia. This provides a therapeutic window to reposition the patient, increase oxygen supply, or initiate NHFO. Rather than focusing on individual capnographic values and reacting to each alarm as in conventional capnographic monitoring, our approach emphasizes respiratory instability over time.
In the present study involving patients undergoing moderate-to-deep sedation for ESD, the calculated parameter “EtCO2 instability” (measured within the first 30 minutes) effectively predicted hypoxia risk. Given that higher Mallampati scores and oral respiration were associated with increased EtCO2 instability, we suggest that pronounced EtCO2 fluctuations reflect recurrent transient upper airway obstruction, particularly at the nasopharyngeal level. Notably, factors associated with EtCO2 instability were also strongly correlated with the occurrence of hypoxia. This indicates that EtCO2 instability serves as a measurable metric during the procedure to predict hypoxia.
Furthermore, employing NHFO to provide positive airway pressure effectively corrects hypoxia during endoscopy without compromising sedation quality. When hypoxia occurs during ESD, chin-lift maneuvers and withholding additional sedatives are among the first decisions made. However, these measures often destabilize sedation depth, potentially disrupting the procedure. Initially, we hypothesized that sedation quality would be superior in the NHFO group; we anticipated that the rapid restoration of oxygenation by NHFO would allow the endoscopist to proceed without interrupting propofol infusion. Nevertheless, our results indicated no statistically significant difference between the groups. This lack of difference may stem from factors such as patient discomfort associated with the NHFO and its high-flow oxygen. However, given the trend toward improved sedation in the NHFO group, the lack of statistical significance may reflect an insufficient sample size.
This raises the question of whether NHFO should be applied from the onset of sedation. This approach would likely aid in maintaining ventilatory stability. Furthermore, this system could be utilized for other high-risk procedures, such as endoscopic retrograde cholangiopancreatography [10]. This would allow endoscopists to focus on the procedure with fewer concerns regarding sedation-induced hypoventilation. However, given cost-effectiveness considerations, routine use may not be justifiable. Instead, NHFO should be targeted at high-risk patients, such as those with sleep apnea, a history of sedation-related hypoxia, or high Mallampati scores. Therefore, a comprehensive preoperative review of medical history and respiratory function is essential.
Several limitations of this study should be acknowledged. First, complete blinding of observers regarding EtCO2 measurement and sedation parameters was not feasible, potentially introducing observer bias. Second, despite strict waveform criteria, the exclusion of artifactual EtCO₂ data (e.g., belching) relied on subjective judgment. Third, our definition of hypoxia (>5% drop) focused on relative desaturation to facilitate early detection, differing from the absolute thresholds used in other studies. Fourth, the sample size for assessing NHFO efficacy was limited. Fifth, we lacked objective sedation depth indicators, such as Bispectral Index (BIS) scores. Gotoda et al. [11] demonstrated that BIS monitoring in elderly patients facilitated safe gastric ESD with lower propofol doses. Although we utilized a clinical sedation index tailored to ESD, this metric remains subjective and lacks external validation. Furthermore, additional studies are warranted to determine the optimal timing for assessing EtCO₂ instability (e.g., post-induction vs. endoscope insertion).
In conclusion, our study demonstrates that EtCO2 instability is independently associated with hypoxic events during ESD. Capnographic monitoring is valuable, as increased EtCO2 instability precedes hypoxia, enabling clinicians to intervene proactively. Additionally, NHFO therapy improves oxygenation and sedation stability, allowing for uninterrupted propofol administration during ESD.

Notes

Availability of Data and Material

The datasets generated or analyzed during the study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors have no financial conflicts of interest.

Funding Statement

None

Acknowledgements

None

Authors’ Contribution

Conceptualization: Sang Hoon Kim, Bora Keum. Data curation: all authors. Formal analysis: Sang Hoon Kim, Bora Keum. Investigation: all authors. Methodology: Sang Hoon Kim, Bora Keum. Project administration: Bora Keum. Resources: Hyuk Soon Choi, Yoon Tae Jeen, Hoon Jai Chun, Bora Keum. Software: Sang Hoon Kim. Supervision: Hoon Jai Chun, Bora Keum. Validation: Sang Hoon Kim, Bora Keum. Visualization: Sang Hoon Kim. Writing—original draft: Sang Hoon Kim. Writing—review & editing: all authors. Approval of final manuscript: all authors.

Fig. 1.
Flow diagram of patient enrollment. ESD, endoscopic submucosal dissection.
kjhugr-2025-0069f1.jpg
Fig. 2.
Effect of nasal high-flow oxygenation on peripheral oxygen saturation (p<0.001; paired t-test).
kjhugr-2025-0069f2.jpg
Fig. 3.
Impact of nasal high-flow oxygenation on sedation quality scores (p<0.001; paired t-test).
kjhugr-2025-0069f3.jpg
Table 1.
Demographic and clinical characteristics of the study population (n=98)
Factor Normal (n=70) Hypoxia (n=28) p-value
Age (yr) 62.1±11.9 65.5±9.0 0.173
Male 44 (62.8) 17 (60.7) 0.843
Body mass index (kg/m2) 24.4±2.9 26.1±4.6 0.113
ASA class 3 8 (11.4) 2 (7.1) 0.720*
Alcohol 25 (35.7) 7 (25.0) 0.307
Smoking 35 (50.0) 17 (60.7) 0.337
Mallampati 3–4 7 (10.0) 10 (35.7) 0.002
Hypertension 28 (40.0) 17 (60.7) 0.063
Diabetes 13 (18.6) 8 (28.6) 0.276
Heart disease 11 (15.7) 4 (14.3) 0.855
Lung disease 20 (28.6) 12 (42.9) 0.173
Sleep apnea 1 (1.4) 6 (21.4) 0.002*
Pulmonary function
 Normal 48 (68.6) 10 (35.7) 0.003
 Obstructive 2 (2.9) 6 (21.4) 0.002
 Restrictive 18 (25.7) 10 (35.7) 0.322
 Mixed 2 (2.9) 2 (7.1) 0.322*

Values are presented as mean±standard deviation or number (%). p-values were calculated using the independent t-test for continuous variables and the chi-square test (or Fisher’s exact test*) for categorical variables.

ASA, American Society of Anesthesiologists.

Table 2.
Comparison of procedural outcomes between nonhypoxic and hypoxic groups
Factor Normal (n=70) Hypoxia (n=28) p-value
EtCO2 instability 2.811 5.449 <0.001
Altered ventilation 29 (41.4) 21 (75.0) 0.003
Altered ventilation to hypoxia (second) - 84
Oral respiration 14 (20.0) 14 (50.0) 0.003
KUMC Sedation Index (a+b+c) 0.388 1.288 0.002
 MOAAS (average/min) (a) 0.128 0.762 0.169
 Spontaneous body movement (average/min) (b) 0.137 0.159 0.383
 Tachypnea (≥25/min)(average/min) (c) 0.123 0.367 <0.001
Baseline oxygen saturation (%) 98.8 97.5 0.003
Procedural time (minute) 43.9 49.3 0.302
Propofol dose (mg) 420 380 0.384

Values are presented as mean or number (%). p-values were calculated using the independent t-test for continuous variables.

EtCO2, end-tidal carbon dioxide; MOAAS, Modified Observer’s Assessment of Alertness Sedation.

Table 3.
Independent predictors of intraprocedural hypoxia
Exp(B) 95% CI p-value VIF
Age 1.043 0.933 to 1.166 0.460 1.30
BMI 0.834 0.548 to 1.271 0.399 2.22
Mallampati 9.404 1.799 to 49.149 0.008 1.62
Smoking 0.480 0.066 to 3.484 0.468 1.27
Sleep apnea 3.089 0.318 to 29.962 0.331 1.24
Oral respiration 15.554 2.431 to 99.534 0.004 1.19
Baseline SpO2 0.540 0.317 to 0.920 0.023 1.64
EtCO2 instability 2.417 1.380 to 4.236 0.002 1.32
Obstructive lung disease 37.349 1.850 to 753.877 0.018 1.15
Restrictive lung disease 2.672 0.527 to 13.539 0.235 1.45

p-values were calculated using binary logistic regression analysis.

CI, confidence interval; VIF, variance inflation factor; BMI, body mass index; SpO2, peripheral capillary oxygen saturation; EtCO2, end-tidal carbon dioxide.

Table 4.
Factors associated with EtCO2 instability
Factors Analyzed by linear regression analysis
B ß 95% CI p-value
Age -0.023 -0.123 -0.057 to 0.011 0.186
Body mass index -0.137 -0.226 -0.281 to 0.006 0.060
Mallampati 0.852 0.270 0.184 to 1.519 0.013
FEV1/FVC -0.007 -0.024 -0.063 to 0.049 0.805
Proportion of oral respiration time 0.065 0.464 0.040 to 0.090 <0.001
Baseline SpO2 -0.382 -0.300 -0.651 to -0.113 0.006
Procedure time 0.003 0.028 -0.014 to 0.019 0.763

p-values were calculated using linear regression analysis.

EtCO2, end-tidal carbon dioxide; CI, confidence interval; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; SpO2, peripheral capillary oxygen saturation.

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