To determine the optimal cultivation duration and harvest period for cultivated Notopterygium incisum and promote its industrial development, this study established a characteristic chromatographic profile of cultivated N. incisum and employed chemometrics combined with entropy-weighted grey correlation analysis to assess differences in agronomic traits and quality indicators across different cultivation years and harvest periods. By comparing with reference substances, ten common peaks were identified, including chlorogenic acid, p-coumaric acid, ferulic acid, marmesinin, nodakenin, isochlorogenic acid B, notopterol, phenethyl ferulate, isoimperatorin, and falcarindiol. The similarity between the characteristic chromatographic profiles of N. incisum at different cultivation years and the reference profile was all above 0.932. Principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) revealed that the quality of 1-to 3-year-old cultivated N. incisum was highly dispersed and unstable, whereas the quality of 4-year-old cultivated N. incisum remained relatively stable across different harvest periods. This suggests that the accumulation of relevant compounds in the medicinal material had reached a plateau, confirming that the optimal cultivation period for N. incisum is four years. Entropy-weighted grey correlation analysis indicated that the quality of 4-year-old cultivated N. incisum across different harvest periods ranked from highest to lowest as follows: November, December, October, August, July, and September, demonstrating that November is the optimal harvest time. The findings of this study establish the suitable cultivation duration and optimal harvest period for N. incisum, providing a scientific basis for cultivation guidance and quality standardization.
Chromatography, High Pressure Liquid/methods* ; Apiaceae/chemistry* ; Entropy ; Chemometrics/methods* ; Drugs, Chinese Herbal/chemistry* ; Principal Component Analysis ; Quality Control

ObjectiveTo analyze the distribution, drug resistance characteristics, and changing trends of Acinetobacter baumannii (AB) isolated from environmental surfaces and healthcare workers’ hands in a grade Ⅱ level A general hospital in Xuhui District of Shanghai from 2018 to 2023, and to provide reference for infection control in the hospital. MethodsEnvironmental samples were collected quarterly from critical surfaces and healthcare workers’ hands in the intensive care unit (ICU), geriatrics, and respiratory departments from 2018 to 2023. Clinical isolates were obtained from all patients with AB infections in ICU, geriatrics, respiratory department, rehabilitation department, infectious diseases department, emergency department, cardiology department, and orthopedics of the hospital from 2018 to 2023. Retrospective analyses were performed on AB detection rates, strain origins, resistance rates to commonly used antimicrobial agents, and resistance gene features, comparing the antimicrobial resistance between clinically isolated strains and environmentally isolated strains. ResultsFrom 2018 to 2023, a total of 1 416 samples were collected from the hospital and a total of 272 strains of AB were detected, with a positive detection rate of 19.21%. The detection rate gradually decreased year-on-year (χ²_trend=45.290, P<0.001). The majority of samples originated from patient-contacted items (34.56%, 94/272), followed by shared items (26.84%, 73/272) and healthcare worker-contacted items (15.07%, 41/272). From 2018 to 2023, the resistance rate of AB on environmental surfaces and healthcare workers’ hands to commonly tested antibiotics in the hospital ranged from 10% to 40%. The resistance rates to cefotaxime (42.52%) and piperacillin (38.58%) were relative high, while the resistance to polymyxin E (1.57%), polymyxin B (2.36%), and doxycycline (3.94%) maintained low. The annual fluctuations in resistance to cefotaxime, piperacillin, ceftriaxone, tobramycin, doxycycline, minocycline and cotrimoxazole were statistically significant (all P<0.05). There were statistically significant differences in the resistance of clinical and environmental isolates to ampicillin/sulbactam, cefepime, ceftazidime, subamphetamine, meropenem, piperacillin, aztreonam, gentamicin, tobramycin, minocycline, ciprofloxacin, levofloxacin, and cotrimoxazole in the hospital from 2018 to 2023 (all P<0.05). The resistance rate of clinical isolates was generally high, especially to β-lactam and quinolone drugs, which were mostly above 80% [such as cefepime (93.86%), cefotaxime (97.37%), imipenem (98.25%), and ciprofloxacin (99.12%)]. The resistance rate of environmental isolated strains to similar antibiotics was relatively lower, mostly concentrated at 10%‒30%. The whole-genome sequencing of 34 carbapenem-resistant Acinetobacter baumannii (CRAB) strains isolated from the hospital environment in 2023 revealed that the main resistance mechanism was overexpression of efflux pumps (51.97%), followed by changes in target sites (32.46%). Among the 34 CRAB strains, carbapenem resistance genes OXA-23 and OXA-51 were detected in 6 strains (17.65%), while genes such as KPC, IMP, VIM, and SIM were not detected. ConclusionFrom 2018 to 2023, AB in the hospital environment exhibited high resistance rates to certain antimicrobial agents and carried multiple resistance genes, indicating a potential transmission risk. It is necessary to further strengthen bacterial resistance monitoring and hospital infection control, and use antibiotics reasonably.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

By elaborating on the theoretical framework of the pulse acupuncture based on systematic syndrome differentiation， this paper briefly analyzes the correspondence between pulse and acupuncture， and further explores its core principle of "establishing acupuncture based on pulse， and applying acupuncture when the pulse is balanced". This therapeutic system employs a three-step acupoint selection method， relying on the systematic integration and analysis of pulse elements at different levels to determine the nature of disease， syndrome type， and location. Treatment principles are guided by the concepts of form and spirit transformation， aiming to treat both simultaneously. Pulse diagnosis also serves as a standard for evaluating therapeutic efficacy and predicting prognosis， providing a theoretical basis for clinical acupuncture. Using stroke as a case example， this paper illustrates the practical clinical application of this approach， offering valuable insight for acupuncture.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective To investigate the perioperative differences between video-assisted thoracoscopic surgery (VATS) and thoracotomy after neoadjuvant therapy in patients with non-small cell lung cancer (NSCLC). Methods Clinical data of NSCLC patients who underwent VATS or thoracotomy after neoadjuvant therapy at Shanghai Pulmonary Hospital from June 2020 to May 2022 were retrospectively collected. Perioperative outcomes were compared between the two groups. Results A total of 260 patients were enrolled, 184 (70.8%) patients underwent VATS and 76 (29.2%) patients underwent thoracotomy. After propensity matching, there were 113 (62.4%) patients in the VATS group and 68 (37.6%) patients in the thoracotomy group. VATS had similar lymph node dissection ability and postoperative complication rate with thoracotomy (P>0.05), with the advantage of having shorter operative time (146.00 min vs. 165.00 min, P=0.006), less intraoperative blood loss (50.00 mL vs. 100.00 mL, P<0.001), lower intraoperative blood transfusion rate (0.0% vs. 7.4%, P=0.003), less 3-day postoperative drainage (250.00 mL vs. 350.00 mL, P=0.011; 180.00 mL vs. 250.00 mL, P=0.002; 150.00 mL vs. 235.00 mL, P<0.001), and shorter postoperative drainage time (9.34 d vs. 13.84 d, P<0.001) and postoperative hospitalization time (6.19 d vs. 7.94 d, P=0.006). Conclusion VATS after neoadjuvant therapy for NSCLC is safer than thoracotomy and results in better postoperative recovery.

Hemolysis is one of the main complications associated with the use of ventricular assist devices. The primary factors influencing hemolysis include the shear stress and exposure time experienced by red blood cells. In addition, factors such as local negative pressure and temperature may also impact hemolysis. The different combinations of hemolysis prediction models and their empirical constants lead to significant variations in prediction results; compared to the power-law model, the OPO model better accounts for the complexity of turbulence. In terms of improving hemolytic performance, research has primarily focused on optimizing blood pump structures, such as adjustments to pump gaps, impellers, and guide vanes. A small number of scholars have studied hemolytic performance through control modes of blood pump speed and the selection of blood-compatible materials. This paper reviews the main factors influencing hemolysis, prediction methods, and improvement strategies for rotary blood pumps, which are currently the most widely used. It also discusses the limitations in current hemolysis research and provides an outlook on future research directions.

Background Atherosclerotic cardiovascular disease (ASCVD) is a major contributor to the global burden of cardiovascular diseases. However, evidence from meta-analyses on the association between ambient ozone exposure and ASCVD risk remains relatively insufficient. Objective To explore the epidemiological association between ambient ozone exposure and ASCVD, providing scientific evidence for ASCVD prevention and control from the perspective of environmental risk factor management. Methods We systematically searched PubMed, Web of Science, Embase, the Cochrane Library, CNKI, Wanfang Database, CBM, and VIP for published epidemiological studies on the relationship between ambient ozone exposure and ASCVD from January 2007 to December 2023. We performed quality assessment and data extraction of the included studies, and utilized meta-analysis to evaluate the effects of short-term and long-term ozone exposure on different ASCVD outcomes, including mortality and incidence of ischemic heart disease (IHD) and ischemic stroke (IS). Results A total of 24 studies were included based on a set of predetermined eligibility criteria. The meta-analysis results indicated that short-term ozone exposure was associated with an increased risk of ASCVD mortality and incidence. Specifically, short-term ozone exposure was significantly associated with an elevated risk of IHD mortality (combined RR=1.011, 95%CI: 1.008, 1.015; P < 0.05). Additionally, short-term ozone exposure was significantly linked to increased IS mortality (combined RR=1.005, 95%CI: 1.003, 1.008; P < 0.05) and incidence (combined RR=1.015, 95%CI: 1.003, 1.027; P < 0.05). Conclusion Short-term exposure to ambient ozone significantly elevates acute cardiovascular disease risk. However, the epidemiological association between long-term ozone exposure and ASCVD remains inconclusive. Future high-quality cohort studies with refined exposure assessment methods are warranted to elucidate the chronic cardiovascular effects of ozone exposure.

Volatile organic compounds (VOCs) and semi-volatile organic compounds (SVOCs) are common organic compounds in indoor and outdoor air, and enter the human body primarily through the respiratory tract and directly damage the respiratory system. Previous studies have suggested that exposure to VOCs/SVOCs may associate with the prevalence, incidence, and progression of asthma, but the extent of the associations is still vague. Furthermore, biomarkers for efficient and simple asthma diagnosis, typing, and attack prediction remain unclear at this stage. From the perspective of the collection and detection methods of VOCs/SVOCs, this paper summarized the epidemiological associations and underlying biological mechanisms between VOCs/SVOCs exposure and the prevalence, incidence, and progression of asthma in children/adults. It also demonstrated the application of VOCs/SVOCs in recent years in assisting asthma diagnosis, such as distinguishing asthma patients from the healthy population, differentiating different asthma phenotypes, and predicting asthma acute exacerbations, aiming to provide a scientific basis for improving current asthma management.