Comparisons on the intraoperative desaturation and postoperative outcomes in non-intubated video-assisted thoracic surgery with supraglottic airway devices or high-flow nasal oxygen: A retrospective study.

BACKGROUND: Few studies have compared intraoperative oxygenation and perioperative outcomes between non-intubated video-assisted thoracic surgery (NIVATS) with supraglottic airway devices (SADs) and NIVATS with high flow nasal oxygenation (HFNO). The aim of this retrospective study was to compare the intraoperative desaturation rate and postoperative outcomes between NIVATS with SADs and NIVATS with HFNO. METHODS: Data regarding NIVATS performed for lung cancer from January 2020 to December 2021 were collected. Intraoperative anesthetic results, post-anesthetic adverse effects, and surgical outcomes for patients who received SAD or HFNO were analyzed using propensity score-matched and unmatched analysis. RESULTS: In total, 199 patients with i-gel™ and 95 patients with HFNO were included. Significantly more female patients (91.6 vs. 82.4%, p = 0.0378) and fewer wedge resections (78.9 vs. 85.4%, p = 0.0258) were observed in the HFNO group. Among 250 patients who underwent NIVATS wedge resections under total intravenous anesthesia, those who received HFNO had a significantly higher desaturation event rate (19.8% vs. 7.9% in i-gel™ group; p = 0.0063), lower nadir SPO2 (94.0% vs. 96.1% in i-gel™ group; p = 0.0012), and longer hospitalization (4.0 ± 0.8 vs. 3.6 ± 0.6 in i-gel™ group; p < 0.0001). However, propensity score matching analysis revealed no significant between-group difference in the desaturation rate. A log-rank test revealed that smoking (p = 0.0005) and HFNO (p = 0.0074) were associated with intraoperative desaturation. CONCLUSION: The rate of SAD use in NIVATS was twice the rate of HFNO use, especially for wedge resections. There is uncertain airway patency and limited flow through HFNO during one-lung ventilation, whereas SADs like i-gel™ presented a significantly less intraoperative desaturation rate over time and similar postoperative outcomes.

Nonintubated bronchoscopic interventions with high-flow nasal oxygen: A retrospective observational study.

ABSTRACT: To determine the feasibility on maintaining oxygenation of high-flow nasal oxygenation (HFNO) with bispectral index-guided intravenous anesthesia for nonintubated interventional bronchoscopy (NIIB). If desaturation happens, the factors influencing intraprocedural desaturation were also analyzed.This is a single-center retrospective study on patients receiving NIIB with HFNO and intravenous anesthesia guided by bispectral index levels to the depth of general anesthesia, which were between 40 and 60. Intraprocedural desaturation (SPO2 < 90%) and complications (bleeding, delayed discharge, unexpected admission) were collected. Factors affecting desaturation and complications were analyzed including patients' factors (age, American Society of Anesthesiologists classification, body mass index [BMI]), procedural factors (procedural time, with or without use of cryoprobe), and setting (outpatient or hospitalized).Records of 223 patients receiving NIIB were collected. The NIIB procedures time was 56.1 ±â€Š26.8 minute. Sixty patients (26.9%) presented desaturation events. Higher BMI, but not procedure time or setting, was significantly associated with desaturation. The desaturation were resolved after relieving upper airway obstruction but 1 patient required bag-valve-mask ventilation to restore oxygenation. Accidental massive bleeding and intraprocedural desaturation during tracheal and bronchial recannulation with cryoprobes happened in 2 patients and 1 of them was admitted to intensive care unit.HFNO is feasible to maintain oxygenation during NIIB only if there is effective upper airway management especially for patients with higher BMI. Longer procedural time and different setting did not affect the desaturation rate. Complications and unexpected admission were associated with the use of cryoprobes.

Detecting Volemic, Cardiac, and Autonomic Responses From Hypervolemia to Normovolemia via Non-Invasive ClearSight Hemodynamic Monitoring During Hemodialysis: An Observational Investigation.

Background: Unstable hemodynamics are not uncommon during hemodialysis (HD), which involves a rapid volume depletion, taking the patient from hypervolemia toward euvolemia. Since uremic patients commonly have cardiovascular comorbidities, hemodynamic changes during HD may reflect interactions among the volemic, cardiac, and autonomic responses to gradual volume depletion during ultrafiltration. Accurate identification of inappropriate responses helps with precisely managing intradialytic hypotension. Recently, the non-invasive ClearSight was reported to be able to detect causes of intraoperative hypotension. In this prospective observational study, we aimed to determine whether ClearSight could be used to detect patterns in stroke volemic, cardiac, and vasoreactive responses during HD. Methods: ClearSight was used to monitor chronic stable patients receiving maintenance HD. Data of mean arterial blood pressure (MAP), heart rate (HR), stroke volume index (SVI), cardiac index (CI), and calculated systemic vascular resistance index (SVRI) were obtained and analyzed to examine patterns in volemic, cardiac, and vasoreactive changes from T0 (before HD) until T8 in 30-min intervals (total 4 h). Results: A total of 56 patients with a mean age of 60.5 years were recruited, of which 40 of them were men. The average ultrafiltration volume at T8 was 2.1 ± 0.8 L. The changes in MAP and HR from T0 to T8 were non-significant. SVI at T7 was significantly lower than that at T1, T2, and T3. CI at T4 to T8 was significantly lower than that at T0. SVRI was significantly higher at T3 to T8 than at T0. Pearson's correlation coefficients between SVI and CI and between SVRI and MAP were positive at all time points. The correlation coefficients between SVRI and SVI and between CI and SVRI were significant and negative for all time points. Conclusion: ClearSight was able to detect patterns in hypervolemia during HD and was well tolerated for 4 h. CI decreased significantly after T4, with slightly decreased SVI. Ultrafiltration volume was not correlated with changes in SVI or CI. The vascular tone increased significantly, and this counteracted the reduced cardiac output after T4. With simultaneous monitoring on SVI, CI, and SVRI during HD, therefore, hypotension could be detected and managed by reducing the filtration rate or administering inotrope or vasopressors. Trial Registration: clinicaltrials.gov, ID: NCT03901794.

The changes on anesthetic practice for non-intubated bronchoscopic interventions during Covid-19 pandemic.

Bronchoscopic interventions (BIs) and airway management for bronchoscopy are exceptionally high-risk procedures not only for anesthesiologists, pulmonologists, but also for nursing staff because they expose nurses to COVID-19-containing droplets. However, perioperative changes can be made to the anesthetic management for nonintubated BIs to minimize the spread of COVID-19.

Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks.

Deep learning (DL) algorithms have been proven to be very effective in a wide range of computer vision applications, such as segmentation, classification, and detection. DL models can automatically assess complex medical image scenes without human intervention and can be applied as a second reader to provide an additional opinion for the physician. To predict the axillary lymph node (ALN) metastatic status in patients with early-stage breast cancer, a deep learning-based computer-aided prediction system for ultrasound (US) images was proposed. A total of 153 women with breast tumor US images were involved in this study; there were 59 patients with metastasis and 94 patients without ALN metastasis. A deep learning-based computer-aided prediction (CAP) system using the tumor region and peritumoral tissue in ultrasound (US) images were employed to determine the ALN status in breast cancer. First, we adopted Mask R-CNN as our tumor detection and segmentation model to obtain the tumor localization and region. Second, the peritumoral tissue was extracted from the US image, which reflects metastatic progression. Third, we used the DL model to predict ALN metastasis. Finally, the simple linear iterative clustering (SLIC) superpixel segmentation method and the LIME explanation algorithm were employed to explain how the model makes decisions. The experimental results indicated that the DL model had the best prediction performance on tumor regions with 3 mm thick peritumoral tissue, and the accuracy, sensitivity, specificity, and AUC were 81.05% (124/153), 81.36% (48/59), 80.85% (76/94), and 0.8054, respectively. The results indicated that the proposed CAP system could help determine the ALN status in patients with early-stage breast cancer. The results reveal that the proposed CAP model, which combines primary tumor and peritumoral tissue, is an effective method to predict the ALN status in patients with early-stage breast cancer.

Scalp Block Is Associated With Improved Recurrence Profiles in Patients Undergoing Primary Glioma Resection Surgery.

BACKGROUND: Glioma is associated with high recurrence and poor survival, despite the success of tumor resection surgery. This may be partly because the immune microenvironment within a glioma is susceptible to perioperative immunosuppression. Therefore, intraoperative anesthesia-related immunomodulators, such as scalp block, intravenous anesthesia, the opioid dosage administered, and transfusions, may influence oncological outcomes among patients with glioma. The aim of this retrospective study was to investigate the influence of anesthetic techniques on oncological outcomes after craniotomy for glioma resection, particularly the effects of scalp block, intravenous anesthesia, and inhalation anesthesia. METHODS: Consecutive patients who underwent primary glioma resection surgeries between January 2010 and December 2017 were analyzed to compare postcraniotomy oncological outcomes (progression-free survival [PFS] and overall survival) by using the Kaplan-Meier method and multivariate Cox regression analysis. A propensity score-matched regression analysis including prognostic covariates was also conducted to analyze the selected relevant anesthetic factors of the unmatched regression model. RESULTS: A total of 230 patients were included in the final analysis. No analyzed anesthetic factor was associated with overall survival. Patients who received scalp block had a more favorable median (95% confidence interval [CI]) PFS (55.37 [95% CI, 12.63-62.23] vs. 14.07 [95% CI, 11.27-17.67] mo; P=0.0053). Scalp block was associated with improved PFS before (hazard ratio, 0.465; 95% CI, 0.272-0.794; P=0.0050) and after (hazard ratio, 0.367; 95% CI, 0.173-0.779; P=0.0091) propensity score-matched Cox regression analysis. By contrast, intravenous anesthesia, amount of opioid consumed, and transfusion were not associated with PFS. CONCLUSIONS: The study results suggest that the scalp block improves the recurrence profiles of patients receiving primary glioma resection.

Effects of high-flow nasal oxygen during prolonged deep sedation on postprocedural atelectasis: A randomised controlled trial.

BACKGROUND: Atelectasis is common in patients undergoing prolonged deep sedation outside the operating theatre. High-flow nasal oxygen (HFNO) produces positive airway pressure which, hypothetically, should improve lung atelectasis, but this has not been investigated. OBJECTIVE: We investigated whether HFNO ameliorates postprocedural atelectasis and compared the influences of HFNO and facial oxygen by mask on postprocedural outcomes. DESIGN: A single-blind, open-label single-institution randomised controlled trial. SETTING: A single university hospital, from February 2017 to July 2019. PATIENTS: A total of 59 patients undergoing computed tomography (CT)-guided hepatic tumour radiofrequency ablation were randomly allocated to two groups. INTERVENTION: These patients randomly received HFNO (oxygen flow 10 l min before sedation and 50 l min during the procedure) or a conventional oxygen face mask (oxygen flow 10 l min) during the procedure. MAIN OUTCOME MEASURES: Changes in the area of lung atelectasis calculated on the basis of chest CT images and also recovery profiles were compared between the two groups. RESULTS: The two groups had comparable procedural profiles, but the HFNO group exhibited less postprocedural atelectasis than the face mask group (median [IQR] 7.4 [3.9 to 11.4%] vs. 10.5 [7.2 to 14.6%]; P = 0.0313). However, the numbers of patients requiring oxygen supplementation in the recovery room and during transport from the recovery room to the ward did not differ significantly between groups (24.1 vs. 50.0%; P = 0.0596). CONCLUSION: Our results suggested that HFNO ameliorates lung atelectasis after prolonged deep sedation in patients receiving CT-guided hepatic tumour radiofrequency ablation. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT03019354.

Matched Comparison of Microcirculation Between Healthy Volunteers and Patients with Sepsis.

OBJECTIVE: Sepsis-related systemic inflammation resulted in microcirculatory dysfunction. However, information of normal ranges of microcirculatory parameters in the healthy population remain limited. The primary aim of this study was to investigate the differences in microcirculatory parameters between healthy volunteers and patients with sepsis. METHODS: This observational study enrolled 45 healthy female and 45 healthy male volunteers, and divided them equally into three age groups: young (20-39 years), middle-age (40-59 years), and elderly (60-79 years). In addition, we enrolled 32 patients with sepsis. Images of sublingual microcirculation were obtained through sidestream dark field videomicroscopy and were analyzed using automated analysis software. Microcirculation parameters, namely the total small vessel density (TSVD), perfused small vessel density (PSVD), proportion of perfused vessel (PPV), microvascular flow index (MFI) score, and heterogeneity index (HI), were evaluated. One-to-one matching between the septic patients and the healthy volunteers was performed on the basis of demographic data including age and gender. RESULTS: The elderly group had lower MFI scores and a higher HI. Age was positively correlated with the HI (r = 0.38, p < 0.001) and negatively correlated with the PPV and MFI scores (r = -0.26, p = 0.014 and r = -0.37, p < 0.001, respectively). TSVD was higher in female participants than in male participants. Body mass index (BMI) was negatively correlated with TSVD. In multivariate regression analysis, the independent factors associated with PPV are age and sex, however age is the only independent factor associated with MFI and HI. In patients with sepsis, TSVD (17.5 [3.3] vs. 21.7 [3.0]; p = 0.002), PSVD (15.0 [3.0] vs. 21.1 [2.5]; p < 0.001), and MFI score (2.0 [1.6-2.5] vs. 2.9 [2.5-3.0]; p < 0.001) were lower in the 28-day nonsurvivors than in the survivors. Matched comparison revealed that the TSVD (20.7 [3.7] vs. 25.2 [2.3]; p < 0.001), PSVD (19.8 [3.0] vs. 24.3 [2.7]; p < 0.001), and MFI score (2.7 [2.4-3.0] vs. 3.0 [2.7-3.0]; p = 0.019) were lower in the patients with sepsis than in the healthy volunteers. CONCLUSIONS: Age and sex were correlated with microcirculatory parameters of the healthy volunteers. In the patients with sepsis, microcirculatory dysfunction was more severe in the 28-day nonsurvivor group than in the 28-day survivor group. Furthermore, the patients with sepsis exhibited significantly lower TSVD, PSVD, and MFI scores than the healthy volunteers.

Pretreatment serum lactate level as a prognostic biomarker in patients undergoing supratentorial primary brain tumor resection.

INTRODUCTION: Malignant primary brain tumors are one of the most aggressive cancers. Pretreatment serum nonneuronal biomarkers closely associated with postoperative outcomes are of high clinical relevance. The present study aimed to identify potential pretreatment serum biomarkers that may influence oncological outcomes in patients with primary brain tumors. METHODS: A total of 74 patients undergoing supratentorial primary brain tumor resection were enrolled. Before tumor resection, serum neuronal biomarkers, namely neuron-specific enolase (NSE), S100ß, and glial fibrillary acidic protein (GFAP), and serum nonneuronal biomarkers, namely neutrophil gelatinase-associated lipocalin (NGAL), lactate dehydrogenase (LDH), and lactate, were measured and associated postoperative oncological outcomes, including brain tumor grading, progression-free survival (PFS), and overall survival (OS), were compared. RESULTS: Patients with high-grade brain tumors had significantly higher pretreatment serum lactate levels (p = 0.011). By contrast, other biomarkers were comparable between patients with high-grade and low-grade brain tumors. Receiver operating characteristic curve analysis of serum lactate levels yielded an area under the curve of 0.71 for differentiating between high-grade and low-grade brain tumors. Kaplan-Meier survival analysis revealed patients with high serum lactate levels (≧2.0 mmol/L) had shorter PFS and OS (p = 0.021 and p = 0.093, respectively). In a multiple regression model, only elevated serum lactate levels were associated with poor PFS and OS (p = 0.021 and p = 0.048, respectively). CONCLUSIONS: An elevated pretreatment serum lactate level is a prognostic biomarker of high-grade primary brain tumors and is significantly associated with poor PFS in patients with supratentorial brain tumors undergoing tumor resection. By contrast, other serum biomarkers are not significantly associated with oncological outcomes.