Background: Intraoperative hypercapnia reduces the time to emergence from volatile anesthetics, but few clinical studies have explored the effect of hypercapnia on the emergence time from intravenous (IV) anesthesia. We investigated the effect of inducing mild hypercapnia during the recovery period on the emergence time after total IV anesthesia (TIVA). Methods: Adult patients undergoing transurethral lithotripsy under TIVA were randomly allocated to normocapnia group (end-tidal carbon dioxide [ETCO2] 35–40 mmHg) or mild hypercapnia group (ETCO2 50-55 mmHg) during the recovery period. The primary outcome was the extubation time. The spontaneous breathing-onset time, voluntary eye-opening time, and hemodynamic data were collected. Changes in the cerebral blood flow velocity in the middle cerebral artery were assessed using transcranial Doppler ultrasound. Results: In total, 164 patients completed the study. The extubation time was significantly shorter in the mild hypercapnia (13.9 ± 5.9 min, P = 0.024) than in the normocapnia group (16.3 ± 7.6 min). A similar reduction was observed in spontaneous breathing-onset time (P = 0.021) and voluntary eye-opening time (P = 0.008). Multiple linear regression analysis revealed that the adjusted ETCO2 level was a negative predictor of extubation time. Middle cerebral artery blood flow velocity was significantly increased after ETCO2 adjustment for mild hypercapnia, which rapidly returned to baseline, without any adverse reactions, within 20 min after extubation. Conclusions Mild hypercapnia during the recovery period significantly reduces the extubation time after TIVA. Increased ETCO2 levels can potentially enhance rapid recovery from IV anesthesia.

Background: Intraoperative hypercapnia reduces the time to emergence from volatile anesthetics, but few clinical studies have explored the effect of hypercapnia on the emergence time from intravenous (IV) anesthesia. We investigated the effect of inducing mild hypercapnia during the recovery period on the emergence time after total IV anesthesia (TIVA). Methods: Adult patients undergoing transurethral lithotripsy under TIVA were randomly allocated to normocapnia group (end-tidal carbon dioxide [ETCO2] 35–40 mmHg) or mild hypercapnia group (ETCO2 50-55 mmHg) during the recovery period. The primary outcome was the extubation time. The spontaneous breathing-onset time, voluntary eye-opening time, and hemodynamic data were collected. Changes in the cerebral blood flow velocity in the middle cerebral artery were assessed using transcranial Doppler ultrasound. Results: In total, 164 patients completed the study. The extubation time was significantly shorter in the mild hypercapnia (13.9 ± 5.9 min, P = 0.024) than in the normocapnia group (16.3 ± 7.6 min). A similar reduction was observed in spontaneous breathing-onset time (P = 0.021) and voluntary eye-opening time (P = 0.008). Multiple linear regression analysis revealed that the adjusted ETCO2 level was a negative predictor of extubation time. Middle cerebral artery blood flow velocity was significantly increased after ETCO2 adjustment for mild hypercapnia, which rapidly returned to baseline, without any adverse reactions, within 20 min after extubation. Conclusions Mild hypercapnia during the recovery period significantly reduces the extubation time after TIVA. Increased ETCO2 levels can potentially enhance rapid recovery from IV anesthesia.

Background: Intraoperative hypercapnia reduces the time to emergence from volatile anesthetics, but few clinical studies have explored the effect of hypercapnia on the emergence time from intravenous (IV) anesthesia. We investigated the effect of inducing mild hypercapnia during the recovery period on the emergence time after total IV anesthesia (TIVA). Methods: Adult patients undergoing transurethral lithotripsy under TIVA were randomly allocated to normocapnia group (end-tidal carbon dioxide [ETCO2] 35–40 mmHg) or mild hypercapnia group (ETCO2 50-55 mmHg) during the recovery period. The primary outcome was the extubation time. The spontaneous breathing-onset time, voluntary eye-opening time, and hemodynamic data were collected. Changes in the cerebral blood flow velocity in the middle cerebral artery were assessed using transcranial Doppler ultrasound. Results: In total, 164 patients completed the study. The extubation time was significantly shorter in the mild hypercapnia (13.9 ± 5.9 min, P = 0.024) than in the normocapnia group (16.3 ± 7.6 min). A similar reduction was observed in spontaneous breathing-onset time (P = 0.021) and voluntary eye-opening time (P = 0.008). Multiple linear regression analysis revealed that the adjusted ETCO2 level was a negative predictor of extubation time. Middle cerebral artery blood flow velocity was significantly increased after ETCO2 adjustment for mild hypercapnia, which rapidly returned to baseline, without any adverse reactions, within 20 min after extubation. Conclusions Mild hypercapnia during the recovery period significantly reduces the extubation time after TIVA. Increased ETCO2 levels can potentially enhance rapid recovery from IV anesthesia.

Background: Intraoperative hypercapnia reduces the time to emergence from volatile anesthetics, but few clinical studies have explored the effect of hypercapnia on the emergence time from intravenous (IV) anesthesia. We investigated the effect of inducing mild hypercapnia during the recovery period on the emergence time after total IV anesthesia (TIVA). Methods: Adult patients undergoing transurethral lithotripsy under TIVA were randomly allocated to normocapnia group (end-tidal carbon dioxide [ETCO2] 35–40 mmHg) or mild hypercapnia group (ETCO2 50-55 mmHg) during the recovery period. The primary outcome was the extubation time. The spontaneous breathing-onset time, voluntary eye-opening time, and hemodynamic data were collected. Changes in the cerebral blood flow velocity in the middle cerebral artery were assessed using transcranial Doppler ultrasound. Results: In total, 164 patients completed the study. The extubation time was significantly shorter in the mild hypercapnia (13.9 ± 5.9 min, P = 0.024) than in the normocapnia group (16.3 ± 7.6 min). A similar reduction was observed in spontaneous breathing-onset time (P = 0.021) and voluntary eye-opening time (P = 0.008). Multiple linear regression analysis revealed that the adjusted ETCO2 level was a negative predictor of extubation time. Middle cerebral artery blood flow velocity was significantly increased after ETCO2 adjustment for mild hypercapnia, which rapidly returned to baseline, without any adverse reactions, within 20 min after extubation. Conclusions Mild hypercapnia during the recovery period significantly reduces the extubation time after TIVA. Increased ETCO2 levels can potentially enhance rapid recovery from IV anesthesia.

Objective To investigate the predictive value of the combined tumor burden score (TBS) and platelet-albumin-bilirubin (PALBI) score model for postoperative tumor recurrence in liver transplant recipients with hepatocellular carcinoma (HCC). Methods The general information of 158 recipients diagnosed with HCC and underwent liver transplantation at the 900th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army from 2008 to 2021 was collected. Lasso regression analysis combined with multivariate Cox regression analysis were used to identify independent risk factors for postoperative tumor recurrence after liver transplantation with HCC. A nomogram prediction model was constructed based on variables selected by Lasso regression analysis, and the predictive performance of the model was verified by calibration curve and clinical decision curve. The optimal cut-off values for postoperative tumor recurrence in liver transplant recipients with HCC were determined by receiver operating characteristic (ROC) curve, and Kaplan-Meier analysis was used to compare survival differences among different groups. Results Among the 158 liver transplant recipients with HCC, 82 experienced tumor recurrence, with a recurrence rate of 51.9% and a median tumor-free survival time of 10 (4, 25) months. Results of Lasso regression analysis and multivariate Cox regression analysis showed that alpha-fetoprotein (AFP) ≥400 ng/mL, TBS and PALBI score were all independent risk factors for postoperative tumor recurrence in liver transplant recipients with HCC (all P<0.05). The combined high TBS-high PALBI score showed the highest predictive value (hazard ratio 6.909, 95% confidence interval 3.067-15.563, P<0.001). A nomogram prediction model was constructed based on six variables selected by Lasso regression analysis. Calibration curve showed good consistency between the model's predicted results and the ideal curve. Decision curve analysis indicated that the nomogram prediction model provided the highest clinical benefit for predicting 1-year tumor-free survival after liver transplantation with HCC. Time-dependent ROC curves at 1, 3 and 5 years after surgery showed that TBS-PALBI model had good predictive performance, with no significant difference in area under the curve (AUC) compared with TBS-PALBI-AFP model. The optimal cut-off values for predicting postoperative tumor recurrence were determined by ROC curve, with a PALBI score cut-off of −2.334 and a TBS cut-off of 5.305. Recipients were divided into a low TBS-low PALBI score group (n=47) and a low/high TBS-low/high PALBI score group (at least one score was high) (n=111). Kaplan-Meier survival analysis showed that the low TBS-low PALBI score group had a higher tumor-free survival rate than the low/high TBS-low/high PALBI score group, with a significant difference (P<0.05). Conclusions TBS-PALBI model provides a novel, simple and effective tool for assessing the prognosis of liver transplant recipients with HCC. The nomogram model constructed based on this has significant advantages in predictive performance and may serve as a reference for guiding individualized treatment plans and improving clinical outcomes.

ObjectiveTo investigate the effects of Shegan Mahuangtang and its pungent and bitter Chinese herbs on the expression of transient receptor potential vanilloid-1 （TRPV1） and bitter taste receptor 14 （TAS2R14） in the lung tissue of the rat model of cold asthma. MethodSeventy SD rats were randomized into 7 groups： normal， model， Shegan Mahuangtang， pungent Chinese herbs， bitter Chinese herbs （6.43 g·kg^-1）， dexamethasone （0.5 g·kg^-1）， and Guilong Kechuanning （10 g·kg^-1）. The rat model of cold asthma was established by intraperitoneal injection and subcutaneous injection of 10% ovalbumin （OVA） and aluminium hydroxide in the limbs， combined with 2% OVA atomization and cold （2-4 ℃） stimulation. The rats were treated with corresponding drugs by gavage and atomization， and the normal and model groups were treated with the same amount of normal saline for 3 weeks. After the last excitation， airway inflammation and cell proliferation were observed by hematoxylin-eosin （HE）， periodic acid-Schiff （PAS）， and Masson staining of the lung tissue. The levels of interleukin-5 （IL-5）， tumor necrosis factor-α （TNF-α）， thymic stromal lymphopoietin （TSLP）， and transforming growth factor-β₁ （TGF-β₁） in the serum were measured by enzyme-linked immunosorbent assay （ELISA）. The expression of TRPV1 and TAS2R14 was detected by immunofluorescence. The expression of TRPV1， TAS2R14， phospholipase Cβ₂ （PLCβ₂）， B-cell lymphoma-2 （Bcl-2）， and α-smooth muscle actin （α-SMA） in the lung tissue was determined by Western blot. ResultCompared with the normal group， the model group showed decreased water intake， food intake， and body weight， increased airway inflammatory cell infiltration， goblet cell proliferation， tissue fibrosis and collagen deposition， elevated levels of IL-5， TNF-α， TSLP， and TGF-β₁ in the serum （P<0.01）， upregulated expression of TRPV1， PLCβ₂， and α-SMA， and downregulated expression of TAS2R14 and Bcl-2 （P<0.05， P<0.01）. Compared with model group， Shecgan Mahuangtang， pungent Chinese herbs， and bitter Chinese herbs increased the water intake， food intake， and body weight， reduced the inflammatory cell infiltration and goblet cell proliferation， alleviated tissue fibrosis and collagen deposition， lowered the levels of IL-5， TNF-α， TSLP， and TGF-β₁ in the serum （P<0.01）， downregulated the expression of TRPV1， PLCβ₂， and α-SMA， and upregulated the expression of TAS2R14 and Bcl-2 （P<0.05， P<0.01）. ConclusionShegan Mahuangtang and its pungent and bitter Chinese herbs can reduce OVA-induced airway inflammation， downregulate the expression of TRPV1， PLCβ₂， and α-SMA， and upregulate the expression of TAS2R14 and Bcl-2 in asthmatic rats. Moreover， bitter Chinese herbs outperformed pungent Chinese herbs， and the combination of them enhanced the therapeutic effect. It is suggested that Shegan Mahuangtang and its pungent and bitter Chinese herbs may ameliorate the OVA-induced airway inflammation by inhibiting TRPV1 and activating TAS2R14.

Objective:To construct three image recognition models of manikin′s glottis using visual laryngoscopy based on deep-learning algorithm.Methods:The tracheal intubation manikin′s epiglottis was visualized using a videolaryngoscope, and then epiglottis was elevated to expose the glottis and acquire glottic images. A total of 149 images were obtained from various angles and orientations and randomly divided into training set and test set, and the annotation of image data was completed. Three glottal image recognition models of CenterNet, YOLOv3 and YOLOv4 were developed. The training set was used to complete the training of the models, and finally the test set was used to evaluate the model performance.Results:CenterNet, YOLOv3 and YOLOv4 three models were successfully constructed, the mean average precision of CenterNet, YOLOv3 and YOLOv4 was 92.33%, 89.52% and 89.02% respectively, the recall rates were 87.50%, 90.00% and 90.00% respectively, the precision rates reached 97.22%, 94.74% and 94.74% respectively, and the accuracy rates were 90.91%, 85.11% and 88.89% respectively. All three algorithms demonstrated an identical F1 score of 91.00%.Conclusions:The CenterNet, YOLOv3 and YOLOv4 models are successfully constructed, and three recognition models can accurately identify the glottis in the image, with the CenterNet model demonstrating the highest recognition precision.

Tumor-associated tertiary lymphoid structures(TLSs)are ectopic lymphoid formations within tumor tissue,with mainly B and T cell populations forming the organic aggregates.The presence of TLSs in tumors has been strongly associated with patient responsiveness to immunotherapy regimens and improving tumor prognosis.Researchers have been motivated to actively explore TLSs due to their bright clinical application prospects.Various studies have attempted to decipher TLSs regarding their formation mechanism,structural composition,induction generation,predictive markers,and clinical utilization.Meanwhile,the scientific approaches to qualitative and quantitative descriptions are crucial for TLS studies.In terms of detection,hematoxylin and eosin(H&E),multiplex immunohistochemistry(mIHC),multiplex immunofluorescence(mIF),and 12-chemokine gene signature have been the top approved methods.However,no standard methods exist for the quantitative analysis of TLSs,such as absolute TLS count,analysis of TLS constituent cells,structural features,TLS spatial location,density,and maturity.This study reviews the latest research progress on TLS detection and quantification,proposes new directions for TLS assessment,and addresses issues for the quantitative application of TLSs in the clinic.

Brain functional network changes over time along with the process of brain development, disease, and aging. However, most of the available measurements for evaluation of the difference (or similarity) between the individual brain functional networks are for charactering static networks, which do not work with the dynamic characteristics of the brain networks that typically involve a long-span and large-scale evolution over the time. The current study proposes an index for measuring the similarity of dynamic brain networks, named as dynamic network similarity (DNS). It measures the similarity by combining the "evolutional" and "structural" properties of the dynamic network. Four sets of simulated dynamic networks with different evolutional and structural properties (varying amplitude of changes, trend of changes, distribution of connectivity strength, range of connectivity strength) were generated to validate the performance of DNS. In addition, real world imaging datasets, acquired from 13 stroke patients who were treated by transcranial direct current stimulation (tDCS), were used to further validate the proposed method and compared with the traditional similarity measurements that were developed for static network similarity. The results showed that DNS was significantly correlated with the varying amplitude of changes, trend of changes, distribution of connectivity strength and range of connectivity strength of the dynamic networks. DNS was able to appropriately measure the significant similarity of the dynamics of network changes over the time for the patients before and after the tDCS treatments. However, the traditional methods failed, which showed significantly differences between the data before and after the tDCS treatments. The experiment results demonstrate that DNS may robustly measure the similarity of evolutional and structural properties of dynamic networks. The new method appears to be superior to the traditional methods in that the new one is capable of assessing the temporal similarity of dynamic functional imaging data.
Aging/physiology* ; Brain/physiology* ; Brain Mapping ; Humans ; Magnetic Resonance Imaging/methods* ; Nerve Net/physiology* ; Transcranial Direct Current Stimulation/methods*

Objective:To understand the iodine nutrition status of pregnant women in Wuhan, and to provide a basis for guiding pregnant women to supplement iodine scientifically and adjust the prevention and control strategy of iodine deficiency disorders.Methods:From May 2016 to September 2020, each district of 13 administrative districts in Wuhan was divided into 5 areas according to east, west, south, north and middle. One township (street) was selected from each area, and 20 pregnant women were selected from each township (street). Edible salt and urine samples were collected to detect the contents of salt iodine and urinary iodine. Salt iodine was determined by direct titration, Sichuan salt and other fortified edible salt by arbitration method; urinary iodine was detected by arsenic-cerium catalytic spectrophotometry. Salt iodine and urinary iodine were analyzed according to different years, regions (central and far urban areas), age [low age (< 25 years old), appropriate age (25 - 34 years old), old age (≥35 years old)], and pregnancy [early pregnancy (< 13 weeks), middle pregnancy (13 - 27 weeks), and late pregnancy (28 - 40 weeks)].Results:A total of 5 200 edible salt samples from pregnant women's homes were collected, and the median salt iodine was 24.41 mg/kg. Among them, there were 32 non-iodized salts, 4 962 qualified iodized salts, and 206 unqualified iodized salts. The coverage rate of iodized salt was 99.38% (5 168/5 200), and the consumption rate of qualified iodized salt was 95.42% (4 962/5 200). A total of 5 200 pregnant women's urine samples were tested, and the median urinary iodine was 161.24 μg/L. Urinary iodine < 150 μg/L was found in central urban area, early pregnancy, middle pregnancy, low age and old age pregnant women in 2016 (141.74, 149.00, 132.34, 135.17, 121.00 μg/L); in early pregnancy, middle pregnancy and old age pregnant women in 2017 (128.00, 149.00, 141.41 μg/L); and in middle pregnancy and old age pregnant women in 2020 (148.95, 138.00 μg/L), which was at iodine deficiency level.Conclusions:Pregnant women in Wuhan are generally at iodine appropriate level, but close to the lower limit of the appropriate value, some pregnant women are at risk of iodine deficiency. It is still necessary to pay close attention to iodine nutrition status of pregnant women, and advocate pregnant women to eat qualified iodized salt actively.