Objective: : Electrooculography (EOG) records eyeball movements as changes in the potential difference between the negatively charged retina and the positively charged cornea. We aimed to investigate whether reliable EOG waveforms can be evoked by electrical stimulation of the oculomotor and abducens nerves during skull base surgery. Methods: : We retrospectively reviewed the records of 18 patients who had undergone a skull base tumor surgery using EOG (11 craniotomies and seven endonasal endoscopic surgeries). Stimulation was performed at 5 Hz with a stimulus duration of 200 μs and an intensity of 0.1–5 mA using a concentric bipolar probe. Recording electrodes were placed on the upper (active) and lower (reference) eyelids, and on the outer corners of both eyes; the active electrode was placed on the contralateral side. Results: : Reproducibly triggered EOG waveforms were observed in all cases. Electrical stimulation of cranial nerves (CNs) III and VI elicited positive waveforms and negative waveforms, respectively, in the horizontal recording. The median latencies were 3.1 and 0.5 ms for craniotomies and endonasal endoscopic surgeries, respectively (p=0.007). Additionally, the median amplitudes were 33.7 and 46.4 μV for craniotomies and endonasal endoscopic surgeries, respectively (p=0.40). Conclusion : This study showed reliably triggered EOG waveforms with stimulation of CNs III and VI during skull base surgery. The latency was different according to the point of stimulation and thus predictable. As EOG is noninvasive and relatively easy to perform, it can be used to identify the ocular motor nerves during surgeries as an alternative of electromyography.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Background: Numerous studies have investigated methods of predicting postoperative pulmonary complications (PPCs) in lung cancer surgery, with chronic obstructive pulmonary disease (COPD) and low forced expiratory volume in 1 second (FEV1 ) being recognized as risk factors. However, predicting complications in COPD patients with preserved FEV 1 poses challenges. This study considered various diffusing capacity of the lung for carbon monoxide (DLCO ) parameters as predictors of pulmonary complication risks in mild COPD patients undergoing lung resection. Methods: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO , predicted postoperative DLCO (ppoDLCO ), and DLCO divided by the alveolar volume (DLCO /VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data. Results: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO /VA <80% significantly influenced PPC occurrence. The model using DLCO /VA had the best fit. Conclusion Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO /VA as the most valuable predictor.

Purpose: In the Tokyo Guidelines 2018 (TG18), emergency laparoscopic cholecystectomy is recognized as a crucial early treatment option for acute cholecystitis. However, early laparoscopic intervention in patients with moderate-to-severe acute cholecystitis or those with severe comorbidities may increase the risk of complications. Therefore, in the present study, we investigated the association between early laparoscopic cholecystectomy and percutaneous transhepatic gallbladder drainage (PTGBD) in moderate-to-severe acute cholecystitis patients. Methods: We retrospectively analyzed 835 TG18 grade II or III acute cholecystitis patients who underwent laparoscopic cholecystectomy at 4 tertiary medical centers in the Republic of Korea. Patients were classified into 2 groups according to whether PTGBD was performed before surgery, and their short-term postoperative outcomes were analyzed retrospectively. Results: The patients were divided into 2 groups, and 1:1 propensity score matching was conducted to establish the PTGBD group (n = 201) and the early laparoscopic cholecystectomy group (n = 201). The PTGBD group experienced significantly higher rates of preoperative systemic inflammatory response syndrome (24.9% vs. 6.5%, P < 0.001), pneumonia (7.5% vs.3.0%, P = 0.045), and cardiac disease (67.2% vs. 57.7%, P = 0.041) than the early operation group. However, there was no difference in biliary complication (hazard ratio, 1.103; 95% confidence interval, 0.519–2.343; P = 0.799) between the PTGBD group and early laparoscopic cholecystectomy group. Conclusion In most cases of moderate-to-severe cholecystitis, early laparoscopic cholecystectomy was relatively feasible.However, PTGBD should be considered if patients have the risk factor of underlying disease when experiencing general anesthesia.