Lower serum uric acid and impairment of right cerebral hemisphere structural brain networks are related to depressive symptoms in cerebral small vessel disease: A cross-sectional study.

Cerebral small vessel disease (SVD) may be associated with an increased risk of depressive symptoms. Serum uric acid (SUA), an antioxidant, may be involved in the occurrence and development of depressive symptoms, but the mechanism remains unknown. Moreover, the relationship between structural brain networks and SUA has not been explored. This study examined the relationship between SUA and depressive symptoms in patients with SVD using graph theory analysis. We recruited 208 SVD inpatients and collected fasting blood samples upon admission. Depressive symptoms were assessed using the 24-item Hamilton Depression Rating Scale (HAMD-24). Magnetic resonance imaging was used to evaluate SVD, and diffusion tensor images were used to analyze structural brain networks using graph theory. Patients with depressive symptoms (n = 34, 25.76%) compared to those without (334.53 vs 381.28 µmol/L, p = 0.017) had lower SUA levels. Graph theoretical analyses showed a positive association of SUA with betweenness centrality, nodal efficiency, and clustering coefficients and a negative correlation with the shortest path length in SVD with depressive symptoms group. HAMD scores were significantly associated with nodal network metrics in the right cerebral hemisphere. Our findings suggested that lower SUA levels are significantly associated with disrupted structural brain networks in the right cerebral hemisphere of patients with SVD who have depressive symptoms.

Mild Behavioral Impairment and Cerebrovascular Profiles Are Associated with Early Cognitive Impairment in a Community-Based Southeast Asian Cohort.

Background: Mild behavioral impairment (MBI) is one of the earliest observable changes when a person experiences cognitive decline and could be an early manifestation of underlying Alzheimer's disease neuropathology. Limited attention has been given to investigating the clinical applicability of behavioral biomarkers for detection of prodromal dementia. Objective: This study compared the prevalence of self-reported MBI and vascular risk factors in Southeast Asian adults to identify early indicators of cognitive impairment and dementia. Methods: This cohort study utilized baseline data from the Biomarkers and Cognition Study, Singapore (BIOCIS). 607 participants were recruited and classified into three groups: cognitively normal (CN), subjective cognitive decline (SCD), and mild cognitive impairment (MCI). Group comparisons of cognitive-behavioral, neuroimaging, and blood biomarkers data were applied using univariate analyses. Multivariate logistic regression analyses were conducted to investigate the association between cerebrovascular disease, vascular profiles, and cognitive impairment. Results: SCD had significantly higher depression scores and poorer quality of life (QOL) compared to CN. MCI had significantly higher depression scores; total MBI symptoms, MBI-interest, MBI-mood, and MBI-beliefs; poorer sleep quality; and poorer QOL compared to CN. Higher Staals scores, glucose levels, and systolic blood pressure were significantly associated with MCI classification. Fasting glucose levels were significantly correlated with depression, anxiety, MBI-social, and poorer sleep quality. Conclusions: The results reflect current research that behavioral changes are among the first symptoms noticeable to the person themselves as they begin to experience cognitive decline. Self-reported questionnaires may aid in early diagnoses of prodromal dementia. Behavioral changes and diabetes could be potential targets for preventative healthcare for dementia.

Efficacy and safety of agomelatine versus SSRIs/SNRIs for post-stroke depression: a systematic review and meta-analysis of randomized controlled trials.

Agomelatine is effective in the treatment of depression, but its effect for post-stroke depression (PSD) remains unclear. This study was conducted to compare the efficacy and safety of agomelatine versus SSRIs/SNRIs in treating PSD. We systematically searched Embase, PubMed, Cochrane Library, WanFang Data, China National Knowledge Infrastructure, and Cqvip databases for double-blind randomized controlled studies comparing the efficacy and safety of agomelatine versus SSRIs/SNRIs for PSD until December 2022. The primary efficacy endpoint was the Hamilton Depression Rating Scale (HAMD) score, and the primary safety endpoint was the incidence of overall adverse reactions. Nine studies comprising 857 patients with PSD were included. After 6-12 weeks of treatment, the HAMD score ( P  = 0.16) and the overall response rates ( P  = 0.20) in the agomelatine group were comparable to that in the SSRIs/SNRIs group. Participants treated with agomelatine achieved higher Barthel Index scores compared with the SSRIs/SNRIs group ( P  = 0.02). There was a significantly lower incidence of overall adverse reactions ( P  = 0.008) and neurological adverse reactions ( P  < 0.0001) in the agomelatine group. The efficacy of agomelatine for treating PSD is probably comparable to that of SSRIs/SNRIs, and it may improve stroke outcomes with better safety.

Insights into Materials, Physics, and Applications in Flexible and Wearable Acoustic Sensing Technology.

Sound plays a crucial role in the perception of the world. It allows to communicate, learn, and detect potential dangers, diagnose diseases, and much more. However, traditional acoustic sensors are limited in their form factors, being rigid and cumbersome, which restricts their potential applications. Recently, acoustic sensors have made significant advancements, transitioning from rudimentary forms to wearable devices and smart everyday clothing that can conform to soft, curved, and deformable surfaces or surroundings. In this review, the latest scientific and technological breakthroughs with insightful analysis in materials, physics, design principles, fabrication strategies, functions, and applications of flexible and wearable acoustic sensing technology are comprehensively explored. The new generation of acoustic sensors that can recognize voice, interact with machines, control robots, enable marine positioning and localization, monitor structural health, diagnose human vital signs in deep tissues, and perform organ imaging is highlighted. These innovations offer unique solutions to significant challenges in fields such as healthcare, biomedicine, wearables, robotics, and metaverse. Finally, the existing challenges and future opportunities in the field are addressed, providing strategies to advance acoustic sensing technologies for intriguing real-world applications and inspire new research directions.

Directional Rebound of Microdroplets on a Magneto-Responsive Micropillar Array Surface.

The manipulation of droplet movement behavior is of scientific importance and has practical applications in many fields, such as biological analysis, water collection, oil-water separation, deicing, antifrosting, and so on. Using the magneto-responsive surface to dynamically change the surface morphology is an effective method to realize droplet manipulation. A replica molding technique was used to fabricate the surface with the magneto-responsive micropillar array, and the direction of the micropillar array could be changed dynamically with the magnetic induction intensity. The mechanism of the droplet directional rebound on the magneto-responsive surface and the implementation of the controllability of droplet movement were investigated. On the magneto-responsive surface, it was achievable to realize the directional rebound of droplets on the micrometer scale. The critical condition for the droplet directional rebound was identified. The force and energy of the droplet during the spreading and retraction stages were analyzed, which lay a theoretical foundation for the precise control of droplet directional rebound.

Evaluation of Indigenous Yeasts Screened from Chinese Vineyards as Potential Starters for Improving Wine Aroma.

Exploitation of the biodiversity of native wine yeast is a means of modifying the sensory characteristics of wine. Samples from different regions in China were analysed to screen native isolates as potential starter cultures. Through morphological and molecular biological analyses, we found six species, belonging to four genera (Hanseniaspora, Saccharomyces, Rhodotorula and Metschnikowia). These species were subjected to stress tolerance assays (ethanol, glucose, SO2 and pH), enzymatic activity tests (sulphite reductase activity, ß-glucosidase activity and protease activity) and fermentation tests. Saccharomyces cerevisiae showed a high tolerance to ethanol and completed fermentation independently. Hanseniaspora demonstrated good enzymatic activity and completed sequential fermentation. The fermentation experiment showed that the PCT4 strain had the best aroma complexity. This study provides a reference for selecting new starters from the perspective of flavour enzymes and tolerance and diversifying the sensory quality of wines from the region.

Mental health and quality of life in patients with craniofacial movement disorders: A cross-sectional study.

Background: Facial appearance and expressions influence social interaction. Hemifacial spasm (HFS), blepharospasm (BPS), and blepharospasm-oromandibular dystonia (BOD) are common forms of craniofacial movement disorders. Few studies have focused on the mental burden and quality of life (QoL) in patients with craniofacial movement disorders. Therefore, this study investigated mental health and QoL in these patients. Methods: This cross-sectional study included 90 patients with craniofacial movement disorders (HFS, BPS, and BOD; 30 patients per group) and 30 healthy individuals without craniofacial movement disorders (control group) recruited from October 2019 to November 2020. All participants underwent QoL and mental health evaluations for depression, anxiety, and stigma using the 36-item Short Form Health Survey (SF-36), Hamilton Anxiety Rating Scale (HAMA), Hamilton Rating Scale for Depression-24 (HAMD-24) and a questionnaire related to stigma. Results: Depression was diagnosed in 37 (41.11%) patients, whereas 30 patients (33.33%) had anxiety. HAMA scores were significantly higher in the BPS and BOD groups than in the control group. Nineteen patients (21.11%) experienced stigma and SF-36 scores were lower in various dimensions in the movement disorders groups compared to healthy controls. The role-physical and social function scores were significantly lower in the movement disorders groups than in the control group all p < 0.05. The vitality scores of the BPS group and mental health scores of the BPS and BOD groups were significantly lower than those of the control group. Correlation analysis showed that the eight dimensions of SF-36 correlated with education level, disease duration, HAMD score, and HAMA score (all p < 0.05). Regression analysis demonstrated that the HAMD score correlated with general health, vitality, social function, role-emotional, and mental health (all p < 0.05). The HAMA score correlated with body pain after adjusting for education level and disease duration. Conclusion: This study highlights the significant frequency of mental symptoms, including depression, anxiety, and stigma, which lower QoL in patients with craniofacial movement disorders.

Silent brain infarction is associated with carotid siphon calcification in ischemic stroke patients.

BACKGROUND: Silent brain infarction (SBI) had a higher prevalence in ischemic stroke patients than healthy population. Intracranial artery calcification, as the important component of atherosclerosis, is a known risk factor of ischemic stroke. Whether it is also the risk factor of SBI is uncertain. We aimed to assess the association between SBI and carotid siphon calcification (CSC) in ischemic stroke patients. METHODS: We retrospectively collected consecutive data of acute ischemic stroke patients with and without SBI by Magnetic Resonance Imaging (MRI) and calcification using non-contrast Computerized Tomography (NCCT). We used a histopathologically validated method to score the circularity, thickness, and morphology of calcification. Clinical characteristics, prevalence and pattern (intimal and medial) of CSC were compared between patients with and without SBI. The association of CSC and SBI was investigated by logistic regression analysis. RESULTS: Totally, 303 acute ischemic stroke patients were enrolled, of whom 260 (85.8%) had CSC. Patients with SBI were older (64.5 ± 10.4 years vs. 61.3 ± 12.1 years, P = 0.032), had a higher proportion of hypertension (77.5% vs. 65.7%, P = 0.035). Of the 260 CSC patients, there's no significant difference except for hyperlipidemia between patients with SBI and without SBI. The prevalence of intimal pattern of CSC was higher in those with SBI (adjusted odds ratio 2.42, 95% CI 1.219-4.794). CONCLUSIONS: Patients with SBI at acute phase of ischemic stroke have more risk factors than mentioned previously. SBI associated with the intimal pattern of CSC which relate to the atherosclerosis process in symptomatic ischemic stroke patients.

Lithium Bonds Enable Small Biomass Molecule-Based Ionoelastomers with Multiple Functions for Soft Intelligent Electronics.

Lipoic acid (LA), which originates from animals and plants, is a small biomass molecule and has recently shown great application value in soft conductors. However, the severe depolymerization of LA places a significant limitation on its utilization. A strategy of using Li-bonds as both depolymerization quenchers and dynamic mediators to melt transform LA into high-performance ionoelastomers (IEs) is proposed. They feature dry networks while simultaneously combining transparency, stretchability, conductivity, self-healing ability, non-corrosive property, re-mouldability, strain-sensitivity, recyclability, and degradability. Most of the existing soft conductors' drawbacks, such as the tedious synthesis, non-renewable polymer networks, limited functions, and single-use only, are successfully solved. In addition, the multi-functions allow IEs to be used as soft sensors in human-computer interactive games and wireless remote sports assistants. Notably, the recycled IE also provides an efficient conductive filler for transparent ionic papers, which can be used to design soft transparent triboelectric nanogenerators for energy harvesting and multidirectional motion sensing. This work creates a new direction for future research involving intelligent soft electronics.

[Spatial Distribution and Influential Factors of Nutrients in Rivers of a Typical Mountainous City: A Case Study of the Qingshuixi River in Chongqing].

Surface water pollution seriously restricts the development of the city and results in the citizens yearning for a better life. Mountainous cities have their own characteristics in surface water environment and pollution compared with those of plain cities due to their unique topography. In August and October 2019, surface water and sediments were collected in a typical river (Qingshuixi River) in the main urban area of Chongqing. These samples were analyzed for nutrients such as carbon, nitrogen, and phosphorus as well as other basic physicochemical indicators. The results showed that the surface water of the Qingshuixi River was inferior to Category V at present, and it was also at a serious pollution level according to the comprehensive pollution index evaluation system. Among all the water quality indices, NH4+ and TP showed the most serious pollution. The tributaries of the Qingshuixi River exhibited higher surface water quality than that of the main stream, and the water quality during the rainfall season was better than that during the non-rainy season. Pollution sources, tailwater/tributary inflow, and river self-purification capacity determined the spatial distribution of nutrients in the surface water of the mainstream of the Qingshuixi River. Point sources such as the direct discharge of source sewage and pollution overflow in the middle and lower reaches were the most important sources of surface water pollution in the mainstream of the Qingshuixi River. Non-point source pollution had a limited impact on water quality. The "sink" or "source" role transformation of river sediments would occur under different water volume conditions in the river, reflecting the complexity of endogenous pollution. Surface water quality of the main stream showed a gradual improvement tendency along the downstream due to the dilution of the tail water/tributary inflow and the increased self-purification capability of the surface water in the mountainous rivers due to the increased DO content. To summarize, this study suggests that the water environment of the Qingshuixi River should be improved in comprehensive ways, which might be reducing the input of point source pollution by the deployment of the municipal pipe network in key areas, upgrading the sewage treatment plants to decrease pollutant concentrations or fluxes or channel dredging at the reaches with low DO content, etc.

Postoperative fluid balance and outcomes after Pancreaticoduodenectomy: a retrospective study in 301 patients.

BACKGROUND: The incidence of postoperative morbidity after pancreaticoduodenectomy (PD) is high; however, whether fluid management after surgery affects postoperative morbidity is unclear. This study aimed to determine whether fluid balance in patients undergoing PD is associated with postoperative complications and mortality. METHODS: Data from a computer-based database of patients who underwent PD between 2016 and 2019 were retrospectively analyzed. Patients were stratified into four quartiles according to their fluid balance at 0-24, 24-48, 48-72, and 72-96 h after surgery. The predefined primary outcome measures were morbidity and mortality rates. RESULTS: A total of 301 patients were included. The morbidity and mortality rates in the cohort were 56.5% and 3.7%, respectively. The most common complications after PD were postoperative pancreatic fistula (31.9%) and delayed gastric emptying (31.6%). Patients with a higher fluid balance in the 0-24-, 24-48-, and 48-72-h postoperative periods had a higher morbidity rate and longer hospital stay than those with a lower fluid balance (all P < 0.05). Patients with a fluid balance of 4212 mL during the postoperative 0-72 h were most likely to develop complications (P < 0.001). The area under the receiver operating characteristic curve was 0.71 (0.65-0.77), with a sensitivity of 58.24% and a specificity of 77.10%. CONCLUSIONS: Higher postoperative fluid balance seems to be associated with increased morbidity after PD compared to lower fluid balance. Surgeons should pay close attention to the occurrence of complications in patients with a high fluid balance.

How can we better predict the prognosis of patients with pancreatic cancer undergoing surgery using an immune-nutritional scoring system?

BACKGROUND: Several immune-nutritional scores have been used to predict the prognosis of pancreatic cancer, but the efficacies of these scores have yet to be compared. This study aimed to compare various immune-nutritional scores and establish a more accurate scoring system to evaluate the prognosis of pancreatic cancer. METHODS: The preoperative immune-nutritional scores of 411 patients with pancreatic cancer who underwent radical surgery were retrospectively compared. The cut-off point for predicting mortality was determined using X-tile analysis. The efficacies of various immune-nutritional scores for predicting the short- and long-term outcomes of pancreatic cancer were compared. A new nomogram was established based on immune-nutritional scores. RESULTS: Regardless of the immune-nutritional scoring method, the short- and long-term outcomes of the group with better nutritional status were better than those of the other groups. The modified Glasgow prognosis score (C-index = 0.74) and controlling nutritional status score (C-index = 0.61) were more effective for predicting the prognosis of pancreatic cancer. A nomogram based on controlling nutritional status, red blood cell distribution, modified Glasgow prognosis score, and tumor node metastasis classification stage was more accurate than any single immune-nutritional score for predicting pancreatic cancer prognosis (C-index = 0.78). CONCLUSION: Patients with pancreatic cancer with poor preoperative nutritional status have a poorer prognosis. We identify a new nomogram based on immune-nutritional scores that provides an accurate and individualized prediction of prognosis for pancreatic cancer.

Abnormal dynamic brain activity and functional connectivity of primary motor cortex in blepharospasm.

BACKGROUND AND PURPOSE: Accumulating evidence indicates that dynamic amplitude of low-frequency fluctuations (dALFF) or dynamic functional connectivity (dFC) can provide complementary information, distinct from static amplitude of low-frequency fluctuations (sALFF) or static functional connectivity (sFC), in detecting brain functional abnormalities in brain diseases. We aimed to examine whether dALFF and dFC can offer valuable information for the detection of functional brain abnormalities in patients with blepharospasm. METHODS: We collected resting-state functional magnetic resonance imaging data from 46 patients each of blepharospasm, hemifacial spasm (HFS), and healthy controls (HCs). We examined intergroup differences in sALFF and dALFF to investigate abnormal regional brain activity in patients with blepharospasm. Based on the dALFF results, we conducted seed-based sFC and dFC analyses to identify static and dynamic connectivity changes in brain networks centered on areas showing abnormal temporal variability of local brain activity in patients with blepharospasm. RESULTS: Compared with HCs, patients with blepharospasm displayed different brain functional change patterns characterized by increased sALFF in the left primary motor cortex (PMC) but increased dALFF variance in the right PMC. However, differences were not found between patients with HFS and HCs. Additionally, patients with blepharospasm exhibited decreased dFC strength, but no change in sFC, between right PMC and ipsilateral cerebellum compared with HCs; these findings were replicated when patients with blepharospasm were compared to those with HFS. CONCLUSIONS: Our findings highlight that dALFF and dFC are complementary to sALFF and sFC and can provide valuable information for detecting brain functional abnormalities in blepharospasm. Blepharospasm may be a network disorder involving the cortico-ponto-cerebello-thalamo-cortical circuit.

Prognostic Value of ALP and LDH in Periampullary Carcinoma Patients Undergoing Surgery.

OBJECTIVE: Conversion of normal cells to cancer cells is often accompanied by abnormal synthesis of serum enzymes. Both alkaline phosphatase (ALP) and lactate dehydrogenase (LDH) have been reported to have prognostic value in a variety of malignancies. The aim of this study was to investigate the effect of preoperative serum ALP and LDH levels on the prognosis of patients with periampullary carcinoma who underwent pancreatoduodenectomy (PD). METHODS: According to the preoperative ALP or LDH values, 856 cancer patients receiving PD treatment from January 2001 to January 2019 were divided into high-ALP group and low-ALP group or high-LDH group and low-LDH group. Statistical analysis was carried out to study the differences between the high-ALP and low-ALP groups or the high-LDH and low-LDH groups. Furthermore, the possibility of preoperative ALP or LDH as prognostic factor of periampullary carcinoma was investigated. RESULTS: In both the high-ALP and the high-LDH groups, the prognosis of patients with periampullary carcinoma who underwent PD was worse than that of the low-ALP and low- LDH group. Even through risk factor analysis, it was found that preoperative ALP and LDH could be independent prognostic factor for patients with periampullary carcinoma who underwent PD. CONCLUSION: Preoperative ALP or LDH is an independent risk factor for periampullary carcinoma.

Machine Learning for Predicting Motor Improvement After Acute Subcortical Infarction Using Baseline Whole Brain Volumes.

Background. Neuroimaging biomarkers are valuable predictors of motor improvement after stroke, but there is a gap between published evidence and clinical usage. Objective. In this work, we aimed to investigate whether machine learning techniques, when applied to a combination of baseline whole brain volumes and clinical data, can accurately predict individual motor outcome after stroke. Methods. Upper extremity Fugl-Meyer Assessments (FMA-UE) were conducted 1 week and 12 weeks, and structural MRI was performed 1 week, after onset in 56 patients with subcortical infarction. Proportional recovery model residuals were employed to assign patients to proportional and poor recovery groups (34 vs 22). A sophisticated machine learning scheme, consisting of conditional infomax feature extraction, synthetic minority over-sampling technique for nominal and continuous, and bagging classification, was employed to predict motor outcomes, with the input features being a combination of baseline whole brain volumes and clinical data (FMA-UE scores). Results. The proposed machine learning scheme yielded an overall balanced accuracy of 87.71% in predicting proportional vs poor recovery outcomes, a sensitivity of 93.77% in correctly identifying poor recovery outcomes, and a ROC AUC of 89.74%. Compared with only using clinical data, adding whole brain volumes can significantly improve the classification performance, especially in terms of the overall balanced accuracy (from 80.88% to 87.71%) and the sensitivity (from 92.23% to 93.77%). Conclusions. Experimental results suggest that a combination of baseline whole brain volumes and clinical data, when equipped with appropriate machine learning techniques, may provide valuable information for personalized rehabilitation planning after subcortical infarction.

Clinical importance of preoperative red-cell volume distribution width as a prognostic marker in patients undergoing radical surgery for pancreatic cancer.

BACKGROUND AND PURPOSE: A new noninvasive biomarker is being sought to predict the prognosis of patients with pancreatic cancer. Red-cell volume distribution width (RDW), a descriptive parameter for erythrocyte variation, has been shown to have prognostic value for some tumor types. Our purpose was to assess the RDW value to predict the prognosis of patients with pancreatic cancer. METHODS: The subjects of this retrospective study were 792 patients who underwent radical surgery for pancreatic cancer, divided into high-RDW and low-RDW groups based on receiver operating characteristic (ROC) curve analysis (15.6%). The controlling nutritional status (CONUT) score was used to assess preoperative nutritional status. Statistical analysis was conducted to investigate the differences between the high and low RDW groups, and to explore the possibility of the RDW being used as prognostic predictor for patients with pancreatic cancer. RESULTS: The immune-nutritional status was worse in the high-RDW group than in the low-RDW group. The high-RDW group patients also had a poorer prognosis. Risk factor analysis showed that the RDW could be an independent risk factor for pancreatic cancer. CONCLUSIONS: The RDW is associated with immune-nutritional status in pancreatic cancer patients and can be used as an independent prognostic factor for their postoperative survival.

Controlling nutritional status (CONUT) score-based nomogram to predict overall survival of patients with pancreatic cancer undergoing radical surgery.

BACKGROUND: /Objective: As a new immune-nutritional marker, the controlled nutritional status (CONUT) score has been reported to predict the prognosis of cancer patients. We aimed to elucidate the prognostic value of preoperative CONUT score in pancreatic cancer patients undergoing radical surgery, and to construct a nomogram based on CONUT score to predict individual survival. METHODS: Preoperative CONUT scores were calculated prospectively in 382 patients with pancreatic cancer who underwent radical surgery. Evaluated the relationship between CONUT score and pancreatic cancer prognosis. Cox proportional hazard models were used to determine predictors of survival and a new nomogram was established to predict pancreatic cancer overall survival (OS). RESULTS: The area under curve of CONUT score was higher than other immune-nutritional indexes. The OS of the high-CONUT group were significantly lower than that of low-CONUT group. Multivariate analysis showed that CONUT score, gender, AJCC stage, complications and reoperation were independent prognostic factors for OS. Nomogram based on these variables has better discriminant ability in predicting survival compared with other traditional staging systems. CONCLUSIONS: Preoperative CONUT score is an effective independent predictor of OS in pancreatic cancer patients undergoing radical surgery. This new CONUT based nomogram provides accurate, individualized survival prediction for pancreatic cancer.

Impact of stroke center certification on rt-PA thrombolysis after acute ischemic stroke in South China from 2015 to 2020.

BACKGROUND AND PURPOSE: In China, stroke center certification was launched in 2015, but little is known about its impact on intravenous thrombolysis. This study aimed to evaluate the effects of stroke center certification on the use of intravenous thrombolysis during a five-year period in South China. METHODS: We retrospectively collected data regarding the use of recombinant tissue plasminogen activator (rt-PA) in 21 cities of Guangdong from 2015 to 2020. The annual thrombolysis rate was defined as the number of patients who underwent intravenous rt-PA therapy divided by the number of those who had acute ischemic stroke within the same year. The density of stroke centers was calculated as the number of stroke centers divided by the corresponding residents. Spearman's correlation analysis was used to determine the correlations between the annual thrombolysis rates and the number/density of stroke centers. Paired t-test was used to compare differences in growth in annual thrombolysis rates before and after having stroke centers. RESULTS: From 2015 to 2020, the annual rt-PA thrombolysis rates of Guangdong increased from 1.4% to 7.2%, which was accompanied by an increase in the number of stroke centers from 0 to 82 and density of stroke centers from 0.00 to 0.71 per million population. The average annual rt-PA use in stroke centers was higher than that in non-stroke centers from 2016 to 2020 (all P < 0.05). There was a positive correlation of annual thrombolysis rates with the number of stroke centers (r = 1.00, P = 0.0028) and with the density of stroke centers in the 21 cities from 2018 to 2020 (all P < 0.05). The growth in annual thrombolysis rates significantly accelerated at the city-level after having stroke centers (1.55%/y vs. 0.77%/y, P < 0.001). CONCLUSIONS: Stroke center certification may partially drive the increased use of rt-PA thrombolysis. Stroke center certification should be continually promoted to facilitate access to intravenous thrombolysis for patients with acute ischemic stroke.

High-Efficiency Air Filter Media with a Three-Dimensional Network Composed of Core-Shell Zeolitic Imidazolate Framework-8@Tunicate Nanocellulose for PM0.3 Removal.

Particulate matter (PM) in air has seriously endangered human health. Especially, PM0.3 can easily enter the lungs and blood through breathing. Herein, an air filter with a three-dimensional (3D) network consisting of core-shell structured fibers was designed by in situ growth of zeolitic imidazolate framework-8 on tunicate nanocellulose/glass fiber composite filter media (ZIF-8@TNC/GF). The filtration performance of the obtained ZIF-8@TNC/GF membranes against sodium chloride particles with the MPPS (most penetrating particle size) was investigated. The air filter media at the optimal ratio of ZIF-8 exhibited an ultrahigh efficiency of 99.998% and a quality factor of 0.0308 Pa-1 for PM0.3. Further characterizations showed that the ZIF-8@TNC/GF air filter had a hierarchical and rich pore structure, showing a large specific surface area (50.3 m2 g-1). More significantly, compared with the TNC/GF prepared by the dipping method, TNCs changed from the original two-dimensional (2D) nonuniform network to a uniform 3D network after the ZIF-8 was introduced. Moreover, the ZIF-8@TNC fibers with a core-shell structure inhibited the aggregation of nanocellulose. This study will shed light on the fabrication of high-efficiency TNC composite air filter media with fluffy 3D networks.

Intraoperative pH Is a Reliable Prognostic Factor for Patients With Periampullary Carcinoma Undergoing Pancreaticoduodenectomy.

A reliable prognostic factor for periampullary carcinoma is critical to improve surgical outcomes. Intraoperative acidosis reflects the incidence of intraoperative adverse events and impact the prognosis. In this study, 612 patients with periampullary carcinoma who underwent pancreaticoduodenectomy (PD) were divided into high- and low-pH groups according to the cut-off value of receiver operating characteristic curve (7.34). Through statistical analysis of the difference between the high- and low-pH group, it was found that the low-pH group had worse short-term prognosis than the high pH group, and intraoperative pH was an independent prognostic factor for patients with periampullary carcinoma undergoing PD. In addition, patients who underwent laparoscopic pancreaticoduodenectomy had a more alkaline pH after surgery. This is of great help for early judgment of short-term and even long-term prognosis of patients with pancreatic cancer after surgery, and can even guide clinicians to improve prognosis by early adjustment of pH value.