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.

ObjectiveTo improve the quality and service performance of community visual health services in Shanghai, and to establish a set of reasonable and effective evaluation index system for community visual health services. MethodsCentered on the national and Shanghai-based visual health policies and based on the current status and development trends of community visual health service program in Shanghai, the candidate indicators were formed through literature review and expert interviews, firstly. The framework of an evaluation index system was formulated through qualitative research successively, which was further revised and perfected using the Delphi method. Coefficient weights were calculated using the analytic hierarchy process (AHP), culminating in the establishment of the community visual health evaluation index system, lastly. ResultsA total of 22 visual health experts from district-level center for disease control, hospital ophthalmology and leaders in charging of visual health service in community health centers participated in the Delphi questionnaire survey, with a questionnaire recovery rate of 100% and an expert authority coefficient of 0.86, indicating high credibility. After a round of correspondence to experts’ importance ratings and discussions, a comprehensive evaluation index system comprising 3 primary indicators, 12 secondary indicators, and 47 tertiary indicators, along with 5 additional indicators, was finalized. ConclusionAn index system tailored to effective evaluation for community visual health initiatives was drawn up in this study, which can promote the capacity building in community eye health services, facilitating the high-quality development of visual health courses, and enhancing residents’ eye health.

ObjectiveTo investigate the effects of Scutellariae Radix combined with epidermal growth factor receptor-tyrosine kinase inhibitors （EGFR-TKIs） on cell proliferation， apoptosis， cancer stem cell （CSC） marker expression， and metabolism in non-small cell lung cancer （NSCLC） cells. MethodsThe anti-tumor effects of Scutellariae Radix and EGFR-TKIs （gefitinib or osimertinib） in NSCLC cells were evaluated using the cell counting kit-8 （CCK-8） and Annexin V-FITC/propidium iodide （PI） double staining apoptosis assay. The activity of Scutellariae Radix and EGFR-TKIs in three-dimensional （3D） cultures of NSCLC cells was assessed using the CellTiter-Glo® 3D cell viability assay. The mRNA and protein expression levels of CSC markers， sex determining region y box protein 2 （SOX2） and aldehyde dehydrogenase 1 family member A1 （ALDH1A1）， were detected by quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot， respectively. Changes in intracellular reactive oxygen species （ROS） levels were detected by ROS staining， and the redox ratio was detected by femtosecond laser labeling free imaging （FLI）. ResultsUnder both two-dimensional （2D） and 3D culture conditions， compared with the blank group and EGFR-TKI group， the combination group showed significantly reduced cell viability and increased apoptosis rate （P<0.05）. Compared with the EGFR-TKI group， the mRNA and protein levels of CSC markers were significantly downregulated in the combination group （P<0.05）. Additionally， the redox ratio was significantly elevated （P<0.05）， and ROS levels were also increased in the combination group compared with the EGFR-TKI group. ConclusionIn NSCLC cells， Scutellariae Radix enhances the redox ratio and increases ROS levels， thereby inhibiting the expression of CSC markers and strengthening the anti-tumor effects of EGFR-TKIs. This provides a novel molecular mechanism by which Scutellariae Radix may enhance the sensitivity of targeted therapies.

OBJECTIVE To analyze the influential factors of drug-induced cholestatic liver disease （DIC） related to tigecycline （TGC）， and establish a prediction model for the risk of this adverse reaction. METHODS Data of 707 hospitalized patients who received TGC treatment in our hospital from August 2022 to August 2024 were collected and randomly divided into training set （n＝566） and test set （n＝141） at a ratio of 8∶2. Prediction variables were screened using the least absolute shrinkage and selection operator regression analysis. Multivariate Logistic regression analysis was used to screen the independent risk factors for TGC-related DIC， and a nomogram prediction model was drawn based on the above factors. The prediction performance of the model was evaluated by the receiver operator characteristic curve （ROC curve） and its area under the curve （AUC）. The accuracy of the model was assessed by the Hosmer-Lemeshow goodness-of-fit test and calibration curves. The clinical net benefit of the prediction model were evaluated by decision curve analysis. RESULTS Among the 707 patients， 93 patients developed DIC， with an incidence rate of 13.15%. Gender， age， high-dose administration of TGC， intensive care unit （ICU） admission， duration of medication of TGC， and concurrent use of antifungal drug voriconazole were independent risk factors for the occurrence of TGC-related DIC （P＜0.05）. The AUC of the training set model was 0.745 （95%CI： 0.687-0.801）， with a sensitivity of 76.6% and a specificity of 60.3%. The AUC of ROC curve of the test set model was 0.762 （95%CI： 0.650-0.900）， with a sensitivity of 81.3% and a specificity of 72.0%. The Hosmer-Lemeshow goodness-of-fit test for the training set， the χ 2 value was 5.187 and P was 0.737； and for the test set， the χ 2 value was 9.980 and P was 0.266. The mean absolute error of the calibration curve for the training set was 0.012， and for the test set， it was 0.038. The risk threshold range for the training set was 4%-45%， and for the test set， it was 4%-28%. CONCLUSIONS Age， gender， high-dose administration of TGC， ICU admission， duration of medication of TGC， and concurrent use of antifungal drug voriconazole are independent risk factors for TGC-related DIC. The established TGC-related DIC risk prediction model has good prediction performance and accuracy.

Objective:To investigate the current situation and characteristics of post-intensive care syndrome in elderly patients during the transitional period, and explore its influencing factors.Methods:From December 2022 to September 2023, convenience sampling was used to select 119 elderly patients in the Intensive Care Unit of China-Japan Friendship Hospital as the research subject. The General Information Questionnaire, Short Physical Performance Battery, Fatigue Scale-14, Barthel Index, Hospital Anxiety and Depression Scale, and Mini-mental State Examination were used to evaluate patients for post-intensive care syndrome from cognitive, psychological, and physiological aspects 7 days after their transfer from the Intensive Care Unit. Binomial Logistic regression was used to analyze the influencing factors of post-intensive care syndrome in elderly patients.Results:Among 119 elderly patients, 84 developed post-intensive care syndrome, with an incidence of 70.6%. The binomial Logistic regression showed that women and high nutritional risk were risk factors for the occurrence of post-intensive care syndrome in elderly patients ( P<0.05) . Conclusions:The incidence of post-intensive care syndrome is high in elderly patients during the transition period, with females and patients with high nutritional risk being prone to developing post-intensive care syndrome. Medical and nursing staff should pay attention to identifying gender differences, focus on high-risk populations, and dynamically evaluate different symptoms early on to provide precise interventions for elderly patients.

Objective To understand the current status of death anxiety in patients with primary liver cancer and analyze its influencing factors,so as to provide basis for developing individualized psychological guidance and intervention measures.Methods A convenient sampling method was used to select 302 patients with primary liver cancer who were hospitalized in a tertiary hospital in Jiangsu Province from March to November 2022.The General Demographic Information Questionnaire,the Templer's Death Anxiety Scale(T-DAS),the State-Trait Anxiety Inventory(STAI),the Rosenberg Self-esteem Scale(SES)and the Self-perceived Burden Scale(SPBS)were used to conduct questionnaire survey during hospitalization.Single factor analysis and multiple linear regression analysis were applied to analyze the factors influencing the death anxiety in patients with primary liver cancer.Results A total of 298 patients with primary liver cancer were included in the study.The effective recovery rate was 98.68％.The total score of the F-DAS was(7.10±3.43)points;56.38％of the patients had high death anxiety.Multiple linear regression analysis results showed that the factors influencing the death anxiety in patients with primary liver cancer included gender,China liver cancer staging,duration of diagnosis,self-esteem,trait anxiety and self-perceived burden.A total of 49.00％of the variation in death anxiety was explained.Conclusion The death anxiety of patients with primary liver cancer is at a high level.It is suggested that medical staff should pay more attention to female patients with China liver cancer staging IV,diagnosis time＞3 months and low self-esteem,high levels of trait-anxiety and self-perceived burden,in order to develop personalized intervention measures,carry out psychological counseling and emotional support to relieve patients'death anxiety.

Objective:To investigate the prevalence of frailty among elders aged ≥60 years in the Beijing community and analyze the risk factors of frailty.Methods:This is a cross-sectional study. A total of 1936 older persons in Baizhifang Community in Beijing were included between May and September 2023. Their frailty was evaluated by Fried Frailty Phenotype Scale. Mini Nutritional Assessment-Short Form (MNA-SF), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS) were used to evaluate nutritional status, physical function, and depression, respectively. The prevalence and risk factors of frailty among the elderly in the community were analyzed.Results:A total of 168 individuals met the criteria for frailty, and the prevalence of frailty was 8.7%. Compared to the non-frail group, the frail group was predominantly female (71.4% vs 62.2%; χ 2=5.59, P=0.018), older [(72.1±6.6) vs (69.9±6.0) ages; t=-5.25, P<0.001], unmarried (1.8% vs 0.8%; χ 2=8.60, P=0.014), with lower education levels (10.7% vs 3.5%; χ 2=23.38, P<0.001), poorer self-assessed health (22.6% vs 6.5%; χ 2=69.80, P<0.001), lower MNA-SF scores [(12.2±2.2) vs (13.0±1.4) scores; t=6.29, P<0.001], lower SPPB scores [(8.4±1.9) vs (10.2±1.6) scores; t=14.62, P<0.001], higher GDS scores [(4.0±3.8) vs (1.9±2.1) scores; t=-11.48, P<0.001], and worse vision, hearing, and olfactory functions (48.2% vs 34.1%, 36.9% vs 23.0%, 9.5% vs 3.0%; χ 2=13.37, 16.11, 40.58, all P<0.001). They were also more likely to suffer from hypertension (70.8% vs 56.7%; χ 2=12.52, P<0.001), diabetes (42.3% vs 29.4%; χ 2=12.06, P<0.001), osteoarthritis (46.4% vs 30.3%; χ 2=18.39, P<0.001) and stroke (19.0% vs 13.3%; χ 2=4.28, P=0.039). Logistic regression analysis showed that frailty was independently associated with nutritional status ( OR=0.8, 95% CI: 0.7-0.9, P<0.001), depressive symptoms ( OR=1.1, 95% CI: 1.1-1.2, P<0.001), olfactory function ( OR=2.1, 95% CI: 1.4-3.0, P<0.001; OR=2.9, 95% CI: 1.4-5.9, P=0.003), and physical function ( OR=0.6, 95% CI: 0.6-0.7, P<0.001) after adjusting for covariates. Conclusions:The prevalence of frailty among elderly people in community is relatively high. Frailty in community elders is associated with physical function, psychological function, nutritional status, and olfactory function decline.