Defect Engineering in CuS1- x Nanoflowers Enables Low-Overpotential and Long-Cycle-Life of Lithium-Oxygen Batteries.

The defect engineering is essential for the development of efficient cathode catalysts for lithium-oxygen batteries. Herein, CuS1 -x nanoflowers are fabricated by microwave hydrothermal method. Through theoretical and experimental analysis, the S vacancies are observed, which result in augmented charge around Cu, improved adsorption of LiO2, and reduced overpotential. On the one hand, the generated electronic defects cause the Fermi level to shift toward the conduction band, which enhances the electronic conductivity and ion transfer. On the other hand, the increased S vacancies provide a large number of Cu active sites, which increase the charge transfer from Cu to LiO2, which improves the stability of the intermediate adsorption. Interactively, CuS1- x catalyst obtains a capacity of 23,227 mAh g-1 and a cycle life of 225 at 500 mA g-1. This work will be helpful for obtaining an efficient cathode catalyst by providing a deep understanding of vacancy modulation in advanced catalysts.

Causal Association between Circulating Metabolites and Dementia: A Mendelian Randomization Study.

The causal association of circulating metabolites with dementia remains uncertain. We assessed the causal association of circulating metabolites with dementia utilizing Mendelian randomization (MR) methods. We performed univariable MR analysis to evaluate the associations of 486 metabolites with dementia, Alzheimer's disease (AD), and vascular dementia (VaD) risk. For secondary validation, we replicated the analyses using an additional dataset with 123 metabolites. We observed 118 metabolites relevant to the risk of dementia, 59 of which were lipids, supporting the crucial role of lipids in dementia pathogenesis. After Bonferroni adjustment, we identified nine traits of HDL particles as potential causal mediators of dementia. Regarding dementia subtypes, protective effects were observed for epiandrosterone sulfate on AD (OR = 0.60, 95% CI: 0.48-0.75) and glycoproteins on VaD (OR = 0.89, 95% CI: 0.83-0.95). Bayesian model averaging MR (MR-BMA) analysis was further conducted to prioritize the predominant metabolites for dementia risk, which highlighted the mean diameter of HDL particles and the concentration of very large HDL particles as the predominant protective factors against dementia. Moreover, pathway analysis identified 17 significant and 2 shared metabolic pathways. These findings provide support for the identification of promising predictive biomarkers and therapeutic targets for dementia.

NiO/AgNPs nanowell enhanced SERS sensor for efficient detection of micro/nanoplastics in beverages.

The ubiquity of plastic products has led to an increased exposure to micro and nano plastics across diverse environments, presenting a novel class of pollutants with substantial health implications. Emerging research indicates their capacity to infiltrate human organs, posing risks of tissue damage and carcinogenesis. Given the prevalent consumption of beverages as a primary vector for these plastics' entry into the human system, there is an imperative need for the advancement of precise detection methodologies in liquids. In this study, we introduce a substrate comprising a Nickel Oxide (NiO) nanosheet array decorated with Silver Nanoparticles (AgNPs) for the Surface-Enhanced Raman Spectroscopy (SERS) analysis of micro//nano plastics. This configuration, leveraging a unique nanowell architecture alongside silver plasmonic enhancement, demonstrates unparalleled sensitivity and repeatability in signal, facilitating the accurate quantification of these contaminants. Through the application of a portable Raman apparatus, this study successfully identifies prevalent micro/nano plastics including polystyrene (PS), polyethylene (PE), and polypropylene (PP), achieving detection sensitivities of 5 µg/mL, 25 µg/mL, and 25 µg/mL, respectively. Moreover, the substrate's efficacy extends to the detection of PS within commonly consumed beverages such as water, milk, and liquor with sensitivities of 25 µg/mL, 50 µg/mL, and 50 µg/mL, respectively. These findings highlight the substrate's potential as an expedient and effective sensor for the real-time monitoring of micro/nano plastic pollutants.

Leisure-time activities and disability among Chinese community-dwelling oldest old: evidence from the Chinese Longitudinal Healthy Longevity Study.

With the acceleration of population aging, disability in older adults is a growing public health problem; however, little is known about the role of specific leisure-time activities in affecting disability. This study prospectively examined the association of leisure-time activities with disability among the Chinese oldest old. A total of 14 039 adults aged 80 years or older (median age of 89.8 years) were enrolled from the Chinese Longitudinal Healthy Longevity Survey from 1998 to 2014. Disability was defined as the presence of concurrent impairment in activities of daily living and physical performance. Cox proportional hazards models were used to estimate the associations between leisure-time activities and disability. During a mean of 4.2 years (2.7 years) of follow-up, 4487 participants developed disability. Compared with participants who never engaged in leisure-time activities, participants who engaged in almost daily activities, including gardening, keeping domestic animals or pets, playing cards or mahjong, reading books or newspapers, and watching TV or listening to the radio had a lower risk of disability, with HRs of 0.78 (0.69-0.88), 0.64 (0.58-0.70), 0.74 (0.63-0.86), 0.74 (0.65-0.84), and 0.84 (0.77-0.90), respectively. Moreover, the risk of disability gradually decreased with participation in an increasing number of those leisure-time activities (P for trend <0.001). Frequent engagement in leisure-time activities was associated with a lower risk of disability among the Chinese oldest old. This study highlights the importance of incorporating a broad range of leisure-time activities into the daily lives of older adults.

Temporal evolution of living donor liver transplantation survival-A United Network for Organ Sharing registry study.

Living donor liver transplantation (LDLT) is a curative treatment for various liver diseases, reducing waitlist times and associated mortality. We aimed to assess the overall survival (OS), identify predictors for mortality, and analyze differences in risk factors over time. Adult patients undergoing LDLT were selected from the United Network for Organ Sharing database from inception (1987) to 2023. The Kaplan-Meier method was used for analysis, and multivariable Cox proportional hazard models were conducted. In total, 7257 LDLT recipients with a median age of 54 years (interquartile range [IQR]: 45-61 years), 54% male, 80% non-Hispanic White, body mass index of 26.3 kg/m2 (IQR: 23.2-30.0 kg/m2), and model for end-stage liver disease score of 15 (IQR: 11-19) were included. The median cold ischemic time was 1.6 hours (IQR: 1.0-2.3 hours) with 88% right lobe grafts. The follow-up was 4.0 years (IQR: 1.0-9.2 years). The contemporary reached median OS was 17.0 years (95% CI: 16.1, 18.1 years), with the following OS estimates: 1 year 95%; 3 years 89%; 5 years 84%; 10 years 72%; 15 years 56%; and 20 years 43%. Nine independent factors associated with mortality were identified, with an independent improved OS in the recent time era (adjusted hazards ratio: 0.53; 95% CI: 0.39, 0.71). The median center-caseload per year was 5 (IQR: 2-10), with observed center-specific improvement of OS. LDLT is a safe procedure with excellent OS. Its efficacy has improved despite an increase of risk parameters, suggesting its limits are yet to be met.

An mpox quadrivalent mRNA vaccine protects mice from lethal vaccinia virus challenge.

The outbreak of 2022 monkeypox virus (MPXV) infection in nonendemic regions is a global public health concern. A highly effective and safe MPXV vaccine that is available to the general public is urgently needed to control the mpox pandemic. Here, we developed a multivalent mRNA vaccine candidate, MPXV-1103, which expresses the full-length B6, A35, A29 and M1 proteins with three flexible linkers (G4S1)3 in a single sequence. Compared with the monovalent MPXV mRNA vaccine candidates or the quadrivalent mRNA vaccine from mixtures of the four monovalent MPXV mRNA vaccines, MPXV-1103 elicits a robust humoral response and an MPXV-specific T-cell response and protects mice from lethal vaccinia virus (VACV) challenge, with no live virus detected in the nasal or lungs even at dosages as low as 1 µg. Furthermore, analysis of complete blood counts and photomicrographs of tissue from the main organs of mice vaccinated with MPXV-1103 at doses of 5 µg and 20 µg revealed that two doses of MPXV-1103 did not cause any observable pathological changes in the mice. Collectively, our results suggest that MPXV-1103, with features of high efficacy, safety and a simplified manufacturing process, is a promising vaccine candidate for defending against MPXV infection.

Multifunctional Modification of the Buried Interface in Mixed Tin-Lead Perovskite Solar Cells.

Mixed tin-lead perovskite solar cells can reach bandgaps as low as 1.2 eV, offering high theoretical efficiency and serving as base materials for all-perovskite tandem solar cells. However, instability and high defect densities at the interfaces, particularly the buried surface, have limited performance improvements. In this work, we present the modification of the bottom perovskite interface with multifunctional hydroxylamine salts. These salts can effectively coordinate the different perovskite components, having critical influences in regulating the crystallization process and passivating defects of varying nature. The surface modification reduced traps at the interface and prevented the formation of excessive lead iodide, enhancing the quality of the films. The modified devices presented fill factors reaching 81% and efficiencies of up to 23.8%. The unencapsulated modified devices maintained over 95% of their initial efficiency after 2000 h of shelf storage.

Association between dietary diversity changes and frailty among Chinese older adults: findings from a nationwide cohort study.

BACKGROUND: Dietary diversity has been suggested as a potential preventive measure against frailty in older adults, but the effect of changes in dietary diversity on frailty is unclear. This study was conducted to examine the association between the dietary diversity score (DDS) and frailty among older Chinese adults. METHODS: A total of 12,457 adults aged 65 years or older were enrolled from three consecutive and nonoverlapping cohorts from the Chinese Longitudinal Healthy Longevity Survey (the 2002 cohort, the 2005 cohort, and the 2008 cohort). DDS was calculated based on nine predefined food groups, and DDS changes were assessed by comparing scores at baseline and the first follow-up survey. We used 39 self-reported health items to assess frailty. Cox proportional hazard models were performed to examine the association between DDS change patterns and frailty. RESULTS: Participants with low-to-low DDS had the highest frailty incidence (111.1/1000 person-years), while high-to-high DDS had the lowest (41.1/1000 person-years). Compared to the high-to-high group of overall DDS pattern, participants in other DDS change patterns had a higher risk of frailty (HRs ranged from 1.25 to 2.15). Similar associations were observed for plant-based and animal-based DDS. Compared to stable DDS changes, participants with an extreme decline in DDS had an increased risk of frailty, with HRs of 1.38 (1.24, 1.53), 1.31 (1.19, 1.44), and 1.29 (1.16, 1.43) for overall, plant-based, and animal-based DDS, respectively. CONCLUSIONS: Maintaining a lower DDS or having a large reduction in DDS was associated with a higher risk of frailty among Chinese older adults. These findings highlight the importance of improving a diverse diet across old age for preventing frailty in later life.

Hepatic Resection as the Primary Treatment Method for Hepatocellular Carcinoma After Orthotopic Liver Transplantation.

BACKGROUND: Liver transplantation (LT) is the treatment of choice for end-stage liver disease and certain malignancies such as hepatocellular carcinoma (HCC). Data on the surgical management of de novo or recurrent tumors that develop in the transplanted allograft are limited. This study aimed to investigate the perioperative and long-term outcomes for patients undergoing hepatic resection for de novo or recurrent tumors after liver transplantation. METHODS: The study enrolled adult and pediatric patients from 12 centers across North America who underwent hepatic resection for the treatment of a solid tumor after LT. Perioperative outcomes were assessed as well as recurrence free survival (RFS) and overall survival (OS) for those undergoing resection for HCC. RESULTS: Between 2003 and 2023, 54 patients underwent hepatic resection of solid tumors after LT. For 50 patients (92.6 %), resection of malignant lesions was performed. The most common lesion was HCC (n = 35, 64.8 %), followed by cholangiocarcinoma (n = 6, 11.1 %) and colorectal liver metastases (n = 6, 11.1 %). The majority of the 35 patients underwent resection of HCC did not receive any preoperative therapy (82.9 %) or adjuvant therapy (71.4 %), with resection their only treatment method for HCC. During a median follow-up period of 50.7 months, the median RFS was 21.5 months, and the median OS was 49.6 months. CONCLUSION: Hepatic resection following OLT is safe and associated with morbidity and mortality rates that are comparable to those reported for patients undergoing resection in native livers. Hepatic resection as the primary and often only treatment modality for HCC following LT is associated with acceptable RFS and OS and should be considered in well selected patients.

A scoping review of non-medical barriers to living-donor liver transplant.

OBJECTIVE: To identify and categorize non-medical barriers encountered by recipient, donors, and healthcare providers in the context of living-donor liver transplantation (LDLT). BACKGROUND: Liver transplantation (LT) is vital for individuals with liver failure, yet high mortality rates on the transplant waitlist persist. LDLT was introduced to address deceased-donor organ shortages, however, its adoption varies widely across regions, prompting the need to explore barriers hindering its implementation. METHODS: The scoping review employed inclusion and exclusion criteria to identify studies focusing on non-medical barriers to LDLT in both adult and pediatric populations. Qualitative, quantitative, and mixed-method studies were considered, covering the period from Jan-2005 to Feb-2023. The review's search strategy was conducted in Ovid MEDLINE and Ovid EMBASE databases. Studies meeting the criteria were assessed for their characteristics and findings, which were synthesized into recipient, donor, and provider level barriers. RESULTS: Among 2394 initially screened articles, 17 studies were eligible for inclusion. Recipient-level barriers encompassed systemic disparities in access, limited social support, immigration status and inadequate awareness of LDLT. Donor-level barriers involved surgery-related risks, recovery time concerns, financial burdens, and religious beliefs. Provider-level barriers highlighted institutional support inadequacies and specialized surgeon shortages. CONCLUSION: The scoping review underscores non-medical barriers to LDLT across recipient, donor, and provider levels. These barriers include socioeconomic disparities, information gaps, and inadequate institutional support. The findings underscore the need for comprehensive national efforts to raise awareness about LDLT and provide essential financial support.

Surgeon-Scientists Going Extinct - Last Call for Action or Too Late?

OBJECTIVE: To define the concept of surgeon-scientists and identify the root causes of their decline in number and impact. The secondary aim was to provide actionable remedies. BACKGROUND: Surgeons who conduct research in addition to patient care are referred to as «surgeon-scientists¼. While their value to society remains undisputed, their numbers and associated impact have been plunging. While reasons have been well identified along with proposals for countermeasures, their application have largely failed. METHODS: We conducted a systematic review covering all aspects of surgeon-scientists together with a global online survey among 141 young academic surgeons. Using gap analysis, we determined implementation gaps for proposed measures. Then, we developed a comprehensive rescue package. RESULTS: A surgeon-scientist must actively and continuously engage in both patient care and research. Competence in either field must be established through protected training and criteria of excellence, particularly reflecting contribution to innovation. The decline of surgeon-scientists has reached unprecedented magnitude. Leadership turning hospitals into «profit-factories¼ is one reason, a flawed selection process not exclusively based on excellence another. Most importantly, the appreciation for the academic mission has vanished. Along with fundamentally addressing these root causes, surgeon-scientists' path to excellence must be streamlined, and their continuous devotion for innovation cherished. CONCLUSION: The journey of the surgeon-scientist is at crossroads. As society, we either adapt and shift our priorities again towards innovation or capitulate to the greed for profit, permanently losing these invaluable professionals. Successful rescue packages must not only involve hospitals and universities but also the political sphere.

Causal relationship and shared genes between air pollutants and amyotrophic lateral sclerosis: A large-scale genetic analysis.

OBJECTIVE: Air pollutants have been reported to have a potential relationship with amyotrophic lateral sclerosis (ALS). The causality and underlying mechanism remained unknown despite several existing observational studies. We aimed to investigate the potential causality between air pollutants (PM2.5, NOX, and NO2) and the risk of ALS and elucidate the underlying mechanisms associated with this relationship. METHODS: The data utilized in our study were obtained from publicly available genome-wide association study data sets, in which single nucleotide polymorphisms (SNPs) were employed as the instrumental variantswith three principles. Two-sample Mendelian randomization and transcriptome-wide association (TWAS) analyses were conducted to evaluate the effects of air pollutants on ALS and identify genes associated with both pollutants and ALS, followed by regulatory network prediction. RESULTS: We observed that exposure to a high level of PM2.5 (OR: 2.40 [95% CI: 1.26-4.57], p = 7.46E-3) and NOx (OR: 2.35 [95% CI: 1.32-4.17], p = 3.65E-3) genetically increased the incidence of ALS in MR analysis, while the effects of NO2 showed a similar trend but without sufficient significance. In the TWAS analysis, TMEM175 and USP35 turned out to be the genes shared between PM2.5 and ALS in the same direction. CONCLUSION: Higher exposure to PM2.5 and NOX might causally increase the risk of ALS. Avoiding exposure to air pollutants and air cleaning might be necessary for ALS prevention.

Living Donor Availability Improves Patient Survival in a North American Center: An Intention-to-treat Analysis.

OBJECTIVE: Assess the impact of having a living donor on waitlist outcomes and overall survival through an intention-to-treat analysis. BACKGROUND: Living-donor liver transplantation (LDLT) offers an alternative to deceased donation in the face of organ shortage. An as-treated analysis revealed that undergoing LDLT, compared to staying on the waiting list, is associated with improved survival, even at Model for End-stage Liver Disease-sodium (MELD-Na) score of 11. METHODS: Liver transplant candidates listed at the Ajmera Transplant Centre (2000-2021) were categorized as pLDLT (having a potential living donor) or pDDLT (without a living donor). Employing Cox proportional-hazard regression with time-dependent covariates, we evaluated pLDLT's impact on waitlist dropout and overall survival through a risk-adjusted analysis. RESULTS: Of 4,124 candidates, 984 (24%) had potential living donors. The pLDLT group experienced significantly lower overall waitlist dropouts (5.2%vs. 34.4%, P<0.001) and mortality (3.8%vs. 24.4%, P<0.001) compared to the pDDLT group. Possessing a living donor correlated with a 26% decline in the risk of waitlist dropout (adjusted hazard ratio 0.74, 95%CI 0.55-0.99, P=0.042). The pLDLT group also demonstrated superior survival outcomes at 1- (84.9%vs. 80.1%), 5- (77.6%vs. 61.7%), and 10-year (65.6%vs.52.9%) from listing (log-rank P<0.001) with a 35% reduced risk of death (adjusted hazard ratio 0.65, 95%CI 0.56-0.76, P<0.001). Moreover, the predicted hazard ratios consistently remained below 1 across the MELD-Na range 11-26. CONCLUSIONS: Having a potential living donor significantly improves survival in end-stage liver disease patients, even with MELD-Na scores as low as 11. This emphasizes the need to promote awareness and adoption of LDLT in liver transplant programs worldwide.

Improved Chinese Giant Salamander Parental Care Behavior Detection Based on YOLOv8.

Optimizing the breeding techniques and increasing the hatching rate of Andrias davidianus offspring necessitates a thorough understanding of its parental care behaviors. However, A. davidianus' nocturnal and cave-dwelling tendencies pose significant challenges for direct observation. To address this problem, this study constructed a dataset for the parental care behavior of A. davidianus, applied the target detection method to this behavior for the first time, and proposed a detection model for A. davidianus' parental care behavior based on the YOLOv8s algorithm. Firstly, a multi-scale feature fusion convolution (MSConv) is proposed and combined with a C2f module, which significantly enhances the feature extraction capability of the model. Secondly, the large separable kernel attention is introduced into the spatial pyramid pooling fast (SPPF) layer to effectively reduce the interference factors in the complex environment. Thirdly, to address the problem of low quality of captured images, Wise-IoU (WIoU) is used to replace CIoU in the original YOLOv8 to optimize the loss function and improve the model's robustness. The experimental results show that the model achieves 85.7% in the mAP50-95, surpassing the YOLOv8s model by 2.1%. Compared with other mainstream models, the overall performance of our model is much better and can effectively detect the parental care behavior of A. davidianus. Our research method not only offers a reference for the behavior recognition of A. davidianus and other amphibians but also provides a new strategy for the smart breeding of A. davidianus.

Perioperative intravenous lidocaine infusion improves postoperative analgesia after hysterectomy: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: The effectiveness of intravenous lidocaine in reducing acute pain after hysterectomy remains uncertain. We conducted a meta-analysis of randomized controlled trials (RCTs) to investigate the impact of intravenous lidocaine on post-hysterectomy recovery. METHODS: This study was completed based on the PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. A systematic search was conducted in PubMed/MEDLINE, the Cochrane Controlled Trials Register (CENTRAL), and Embase up to July 27, 2023. We identified randomized controlled trials (RCTs) involving hysterectomy patients comparing lidocaine to a placebo. Outcome measures included postoperative pain scores at rest and during movement, opioid consumption, postoperative nausea and vomiting (PONV), improvements in functional gastrointestinal recovery, and Quality of Recovery (QoR) scores. RESULTS: Nine RCTs were included in the meta-analysis, comprising 352 patients who received intravenous lidocaine and 354 controls. The analysis revealed that intravenous lidocaine significantly reduced postoperative pain scores at rest at 2, 6, 8, and 24 hours following hysterectomy, as well as postoperative opioid consumption within 24 hours and PONV rates. Furthermore, no observed benefit was noted in shortening the time to first flatus with intravenous lidocaine administration post-hysterectomy. CONCLUSION: Intravenous lidocaine administration effectively reduces acute postoperative pain, opioid consumption, and PONV rates following hysterectomy. Lidocaine serves as an opioid-sparing agent, reducing the morphine equivalent dose while maintaining a similar degree of postoperative pain.

Effect of Meal-Timing on the Association of Unsaturated Fatty Acids with All-Cause and Cardiovascular Mortality among Adults: A Prospective Cohort Study with 10-Year Follow-Up.

BACKGROUND: Conflicting results have been reported on the association of dietary unsaturated fatty acids (UFAs) with longevity and cardiovascular health. Most previous studies have focused only on the amount of UFAs consumed, not the timing of intake. METHODS: This prospective cohort study used data from 30,136 adults aged 18 years and older. Intakes of UFAs by meal time and types were assessed by a 24-h dietary recall for two days. The covariate-adjusted survey-weighted Cox proportional hazards models were performed to evaluate the associations of dietary total unsaturated fatty acid (TUFA), polyunsaturated fatty acid (PUFA), and monounsaturated fatty acid (MUFA) intakes throughout the day and three meals with mortality. RESULTS: During a median of 10.0 years of follow-up, 4510 total deaths occurred. All-cause mortality decreased with increasing intakes at dinner of TUFA (HR: 0.87 [0.77-0.98]), PUFA (HR: 0.81 [0.73-0.91]), and MUFA (HR: 0.88 [0.77-0.99]). With an increased intake of PUFA at dinner, CVD mortality showed a decreasing trend. However, the inverted L-shaped non-linear trend in all-cause mortality was found with increasing intake at breakfast of TUFA (HR: 1.35 [1.17-1.57], Q3 vs. Q1), PUFA (HR: 1.30 [1.13-1.50]), and MUFA (HR: 1.28 [1.13-1.45]). Meanwhile, increased breakfast intake of UFAs was associated with increased CVD and heart disease mortality. CONCLUSIONS: Meal timing influences the association of UFAs with all-cause and CVD-related mortality.

Revolutionizing Liver Transplantation: Transitioning to an Elective Procedure via ex situ Normothermic Machine Perfusion - A Benefit Analysis.

OBJECTIVE: To assess the impact of Normothermic Machine Perfusion (NMP) on patients, medical teams, and costs by gathering global insights and exploring current limitations. BACKGROUND: NMP for ex-situ liver graft perfusion is gaining increasing attention for its capability to extend graft preservation. It has the potential to transform liver transplantation (LT) from an urgent to a pure elective procedure, which could revolutionize LT logistics, reduce burden on patients and healthcare providers, and decrease costs. METHODS: A 31-item survey was sent to international transplant directors to gather their NMP experiences and vision. Additionally, we performed a systematic review on cost-analysis in LT and assessed studies on cost-benefit in converting urgent-to-elective procedures. We compared the costs of available NMPs and conducted a sensitivity analysis on NMP's cost benefits. RESULTS: Of 120 transplant programs contacted, 64 (53%) responded, spanning North America (31%), Europe (42%), Asia (22%), and South America (5%). Sixty percent had adopted NMP, with larger centers (>100 transplants/year) in North America and Europe more likely to use it. Main NMP systems were OrganOx-metra (39%), XVIVO (36%), and TransMedics-OCS (15%). Despite NMP adoption, 41% of centers still perform >50% of LTs at nights/weekends. Centers recognized NMP's benefits, including improved work satisfaction and patient outcomes, but faced challenges like high costs and machine complexity. 16% would invest $100'000-500'000, 33% $50'000-100'000, 38% $10'000-50'000, and 14% <$10'000 in NMP. These results were strengthened by a cost analysis for NMP in emergency-to-elective LT transition. Accordingly, while liver perfusions with disposables up to $10'000 resulted in overall positive net balances, this effect was lost when disposables' cost amounted to >$40'000/organ. CONCLUSION: The adoption of NMP is hindered by high costs and operational complexity. Making LT elective through NMP could reduce costs and improve outcomes, but overcoming barriers requires national reimbursements and simplified, automated NMP systems for multi-day preservation.

Association between atherogenic index of plasma and all-cause mortality and specific-mortality: a nationwide population­based cohort study.

BACKGROUND: Atherogenic index of plasma (AIP), a marker of atherosclerosis and cardiovascular disease (CVD). However, few studies have investigated association between AIP and all-cause mortality and specific-mortality in the general population. METHODS: This study included data from 14,063 American adults. The exposure variable was the AIP, which was defined as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included all-cause mortality and specific-mortality. Survey-weighted cox regressions were performed to evaluate the relation between AIP and all-cause mortality and specific-mortality. Weighted restricted cubic spline was conducted to examin the non-linear relationship. RESULTS: During 10 years of follow-up, we documented 2,077, 262, 854, and 476 cases of all-cause mortality, diabetes mortality, CVD mortality and cancer mortality, respectively. After adjustment for potential confounders, we found that atherogenic index of plasma (AIP) was significantly associated with an increased risk of diabetes mortality when comparing the highest to the lowest quantile of AIP in female (p for trend = 0.001) or participants older than 65 years (p for trend = 0.002). AIP was not significantly associated with all-cause mortality, CVD mortality and cancer mortality (p > 0.05). Moreover, a non-linear association was observed between AIP and all-cause mortality in a U-shape (p for non-linear = 0.0011), while a linear relationship was observed with diabetes mortality and non-diabetes mortality (p for linear < 0.0001). CONCLUSIONS: In this study, there is a no significant association between high AIP levels and a high risk of all-cause and cardiovascular mortality. Besides, a higher AIP was significantly associated with an increased risk of diabetes mortality, which only found in women older than 65 years. AIP was associated with all-cause mortality in a U-shape. This association could be explained by the finding that higher AIP predicted a higher risk of death from diabetes, and that lower AIP predicted a higher risk of death from non-diabetes causes.

We used a large national database and a prospective cohort study with a long follow-up period. Higher AIP was significantly associated with an increased risk of diabetes mortality, only in women older than 65 years. There is a no significant association between high AIP levels and a high risk of all-cause and cardiovascular mortality. AIP was associated with all-cause mortality in a U-shape. This finding suggest that controlling AIP levels may have a positive effect on reducing diabetes mortality.

Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study.

BACKGROUND: Breast cancer patients exhibit various response patterns to neoadjuvant chemotherapy (NAC). However, it is uncertain whether diverse tumor response patterns to NAC in breast cancer patients can predict survival outcomes. We aimed to develop and validate radiomic signatures indicative of tumor shrinkage and therapeutic response for improved survival analysis. METHODS: This retrospective, multicohort study included three datasets. The development dataset, consisting of preoperative and early NAC DCE-MRI data from 255 patients, was used to create an imaging signature-based multitask model for predicting tumor shrinkage patterns and pathological complete response (pCR). Patients were categorized as pCR, nonpCR with concentric shrinkage (CS), or nonpCR with non-CS, with prediction performance measured by the area under the curve (AUC). The prognostic validation dataset (n = 174) was used to assess the prognostic value of the imaging signatures for overall survival (OS) and recurrence-free survival (RFS) using a multivariate Cox model. The gene expression data (genomic validation dataset, n = 112) were analyzed to determine the biological basis of the response patterns. RESULTS: The multitask learning model, utilizing 17 radiomic signatures, achieved AUCs of 0.886 for predicting tumor shrinkage and 0.760 for predicting pCR. Patients who achieved pCR had the best survival outcomes, while nonpCR patients with a CS pattern had better survival than non-CS patients did, with significant differences in OS and RFS (p = 0.00012 and p = 0.00063, respectively). Gene expression analysis highlighted the involvement of the IL-17 and estrogen signaling pathways in response variability. CONCLUSIONS: Radiomic signatures effectively predict NAC response patterns in breast cancer patients and are associated with specific survival outcomes. The CS pattern in nonpCR patients indicates better survival.