Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Background Gestational weight gain is closely related to maternal and infant health outcomes. Pregnant women are simultaneously exposed to four metals—lithium (Li), vanadium (V), uranium (U), and bismuth (Bi)—through inhalation of fine particulate matter and consumption of contaminated food and water. Existing studies suggest that exposure to these metals may be associated with gestational weight gain. However, no study has yet explored the complex relationships between exposure to mixtures of these four metals and weight gain at different stages of pregnancy. Objective To investigate the associations between mixed exposure to Li, V, U, and Bi in early pregnancy and the average weekly gestational weight gain during both early pregnancy and mid-to-late pregnancy. Methods This prospective study recruited eligible women in early pregnancy from an obstetrics clinic of a tertiary hospital in Jinan, China, between September 2021 and July 2023. Pre-pregnancy weight, current weight (at 11⁺⁰ to 13⁺⁶ weeks of gestation), and spot urine samples (≥5.0 mL) were collected at enrollment. Urinary concentrations of Li, V, Bi, and U were determined using inductively coupled plasma mass spectrometry. Participants were followed up in late pregnancy (≥28 weeks of gestation) to collect information on physical activity via questionnaire; weight measurements at the last antenatal visit (35⁺⁰ to 37⁺⁶ weeks of gestation) were obtained from the hospital information system. After adjusting for covariates, multiple linear regression and generalized additive models were used to assess the associations of individual metals with weekly weight gain in early pregnancy and in mid-to-late pregnancy. Bayesian kernel machine regression (BKMR) and quantile-based g-computation (Qgcomp) were applied to evaluate the joint effects of the metal mixture exposure on weekly weight gain at the two gestational stages. Results A total of 313 pregnant women were included. The geometric means of urinary Li, V, U, and Bi concentrations were 37.07, 0.20, 0.06, and 0.04 μg·L⁻¹, respectively; after creatinine adjustment, the corresponding values were 46.82, 0.25, 0.07, and 0.05 μg·g⁻¹ (Cr). The mean weekly gestational weight gain was (0.19±0.25) kg in early pregnancy and (0.53 ± 0.18) kg in mid-to-late pregnancy. Both multiple linear regression and generalized additive models showed that urinary V concentration was positively associated with average weekly gestational weight gain in early pregnancy, while no significant associations were found for other metals or for gestational weight gain in mid-to-late pregnancy. In the BKMR model with early-pregnancy weight gain as the outcome, V had the strongest association [posterior inclusion probability (PIP)=0.773]. When other metals were fixed at their medians, V showed a positive non-linear association with the outcome. A significant single-metal effect of V and its interaction with Li were observed. Compared with the 50th percentile of the metal mixture, the average weekly weight gain in early pregnancy increased by 0.016 (95%CI: 0.003, 0.029) and 0.018 (95%CI: 0.001, 0.036) at the 60th and 65th percentiles, respectively; conversely, at the 25th percentile, it decreased by 0.026 (95%CI: 0.002, 0.050). Overall, the joint effect of the metal mixture on early- pregnancy weight gain showed an upward trend. In the BKMR model for mid-to-late pregnancy gestational weight gain, all PIPs were<0.5, and no significant single-metal effects, interactions, or joint effects were identified. Qgcomp results confirmed a positive association between the metal mixture and early-pregnancy weight gain (b=0.031, 95%CI: 0.010, 0.051; P<0.01), with V contributing the highest positive weight (0.71). No significant association was found for weight gain in mid-to-late pregnancy (b=0.007, P=0.339). Conclusion Higher levels of co-exposure to the Li, V, Bi, and U metal mixture during early pregnancy may be associated with increased average weekly weight gain in early pregnancy. Among these metals, V exhibits a predominant role and appears to interact with Li. No association is observed between early-pregnancy metal mixture exposure and average weekly gestational weight gain in mid-to-late pregnancy. These findings suggest that monitoring and managing metal exposure during early pregnancy may be crucial for the rational regulation of gestational weight gain.

Objective:To explore the experience of psychological resilience in coping with diabetes, to elucidate the factors that contribute to the development of psychological resilience in coping with diabetes.Methods:A descriptive phenomenological approach, guided by the Kumpfer resilience framework in this study was used. A total of 15 diabetic patients who were hospitalized in the Department of Endocrinology of the First Affiliated Hospital with Nanjing Medical University from September to November 2023 were selected for the study using purposive sampling method to conduct semi-structured interviews. Colaizzi's 7-step analysis was used to summarize and refine themes from the interview findings.Results:A total of four themes and 11 sub-themes were distilled, namely, environmental context (availability of social resources, diversity of social support), intrinsic resilience factors (accumulation of positive mindset, physiological resilience reserve, diabetic learning experience, altruism), person-environment interaction processes (acceptance coping, avoidance coping, cognitive reappraisal, role-modeling learning) and resilience processes (enhancement of self-efficacy) .Conclusions:Mobilizing social resources and building a supportive environment are the cornerstones of psychological resilience in diabetes, enhancing intrinsic resilience factors is the core strength of psychological resilience in diabetes, and focusing on the use of coping strategies is the mechanism by which psychological resilience plays a role in adapting to the environment for patients with diabetes.

Objective:To illustrate the clinical modeling and commissioning results of Monte Carlo dose calculation algorithm in RayStation treatment planning system (TPS) for a domestically developed synchrotron-based spot scanning proton therapy system (SAPT-PS-01).Methods:The proton pencil beam model in RayStation required integral depth dose curves, spot profiles and absolute dose as the input beam data. It was not necessary to collect beam parameters with range shifter. The integral depth dose curves of a single spot were measured by an 8 cm parallel ion chamber. A 2-dimensional scintillation detector was used to measure the in-air spot profile at 5 different depths including the isocenter plane. The absolute dose was calibrated by a 0.25 cm parallel ion chamber under the single energy layer irradiation with a field size of 10 cm × 10 cm. After modeling, the results of the beam model and the Monte Carlo dose calculation algorithm were validated from the range, spot profile, point-dose in a spread-out Bragg peak, planar dose in a clinical plan, point dose in an end-to-end test.Results:For the 94 energy layers, the maximum deviation between the calculated and measured range was 0.03 cm. The maximum difference between the calculated and measured in-air spot sigma was 0.015 cm, and the deviation of in-water spot sigma was measured within ±15%. Compared with the measured values, the calculated dose deviation of 138 measured points in the spread-out Bragg peak was within 3%. For the planar dose verification of clinical plans, the TPS-calculated dose distribution of 285 planes agreed well with the measurement with a minimum gamma-passing rate of 90%, and the gamma passing rate of almost 95% of planes were greater than 95%. The point dose measurements for 8 beams in the end-to-end tests under 4 clinical scenarios were within 5%.Conclusions:The acceptable beam model validation results and successful end-to-end test confirm that the Monte Carlo dose calculation algorithm modeling for the synchrotron-based spot scanning proton therapy system is accurate, which is applicable for the design of patient treatment plan.

Objective:To investigate the current status of application of stereotactic body radiation therapy (SBRT) in China, aiming to provide reference for promoting the development of this technology.Methods:From January to March 2024, a questionnaire was designed and distributed online, targeting member units of the Professional Committee of Stereotactic Radiosurgery Treatment, which covers 175 radiotherapy units in 30 provinces and regions nationwide. The survey focused on the current application of SBRT technology and its utilization in the treatment of early-stage non-small cell lung cancer (NSCLC). A statistical description of the survey results was presented.Results:Of 175 questionnaires distributed, a total of 130 valid responses were collected, with an effective response rate of 74.3%. A total of 81.5% (106/130) of the units had implemented SBRT technology, and 99.1% of the respondents believed it was necessary to further promote SBRT technology, yet the actual training rate was only 67.0%. SBRT equipment configuration: there were a total of 267 SBRT equipment, featuring a diverse range of types, with traditional linear accelerators as the mainstays, accounting for 76.0% ( n=203), followed by 12.0% ( n=32) for TOMO, 6.4% ( n=17) for Cyber knife, 3.7% ( n=10) for Gamma knife, and proton/heavy ion equipment at 1.5% ( n=4), respectively. The percentage of units with multi-leaf collimator leaf widths ≤0.5 cm was 93.4% (99/106). The application of SBRT: the first radiotherapy unit commenced SBRT in 2000, and this technology entered a period of rapid growth after 2015, sustaining a steady increase over the past decade; SBRT technology was mainly applied in the brain, lung, liver, bone, adrenal gland, and kidney, with application rates of 97.2%, 94.3%, 86.8%, 71.7%, 56.6%, and 27.4%, respectively, while the application rates for the pancreas, metastatic lymph nodes, and other parts were less than 5%. Current status of SBRT technology application in early-stage NSCLC: 90.6% (96/106) of units had implemented SBRT; pre-treatment multi-disciplinary diagnosis and treatment accounted for 77% (74/96); the proportion of application units for peripheral and central type lung cancer lesions both exceeded 57.3%, whereas the application rate for ultra-central type and lesions > 5 cm lung cancer was less than 30%; there was significant variability in the selection of reference guidelines, dose fractionation patterns, and the concept of central type among units. Conclusions:The development of SBRT technology in China is in a period of steady growth, but several issues such as low training rate and lack of standardization still exist. The survey results provide important reference for clinical training and promotion of SBRT technology in China.

The effects of different robust optimization parameters on the doses to organs-at-risk(OAR)and the clinical target volume(CTV)in proton therapy plans for localized prostate cancer are explored for identifying the optimal robust optimization parameters.A retrospective analysis is conducted on 10 cases in which proton plans with a total dose of 76 Gy delivered in 38 fractions are designed.In robust optimization,uncertainties of 3.5%in range and setup errors of 3,5 and 7 mm are considered.After being grouped by setup errors,3 groups of plans are obtained.The effects of setup errors on the doses to CTV and OAR are analyzed,and the robustness of the CTV dose is assessed,including the worst-case values of dosimetric parameters and the passing rates under different scenarios.The results show that as the setup error increased,the doses to OAR tended to rise.Compared with the 3 mm plan group,the 5 mm and 7 mm plan groups experience increases of 1.99%and 5.15%in rectal V70,3.71%and 10.01%in rectal V45,0.93%and 2.55%in bladder V70,and 1.71%and 5.27%in bladder V45,respectively;similar patterns are observed for the doses to sigmoid colon and bulbous urethra,and the differences are statistically significant(P<0.05).In robustness analysis,the CTV D99 in the 5 mm and 7 mm plan groups increases by 0.68 Gy and 0.95 Gy as compared with the 3 mm plan group,with passing rates improving by 7.2%and 9.6%,respectively(passing criterion:D95 receives at least 100%of the prescribed dose),with significant differences(P<0.05).Considering both OAR dose and CTV robustness,the setup error of 5 mm is found to be a reasonable choice for robust optimization in proton therapy plans for localized prostate cancer,as it can effectively balance the enhancement of CTV dose robustness with the control of dose escalation to OAR.

Peritoneal dialysis (PD) is a crucial renal replacement therapy for end-stage renal disease (ESRD), offering significant advantages as high flexibility, hemodynamic stability, and high cost-effectiveness. However, prolonged exposure to intra-abdominal dialysate may predispose to the mechanical complication of abdominal external hernia. Abdominal external hernia may lead to various adverse clinical outcomes. In severe cases, it can progress to incarceration or even rupture, ultimately necessitating discontinuation of the therapy. The authors systematically review PD-associated abdominal external hernias, including their clinical landscape, risk factors, surgical treatment strategies and prognostic determinants. They also assess the effects of hernia repair on residual renal function, aiming to provide references for clinical decision-making.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Peritoneal dialysis (PD) is a crucial renal replacement therapy for end-stage renal disease (ESRD), offering significant advantages as high flexibility, hemodynamic stability, and high cost-effectiveness. However, prolonged exposure to intra-abdominal dialysate may predispose to the mechanical complication of abdominal external hernia. Abdominal external hernia may lead to various adverse clinical outcomes. In severe cases, it can progress to incarceration or even rupture, ultimately necessitating discontinuation of the therapy. The authors systematically review PD-associated abdominal external hernias, including their clinical landscape, risk factors, surgical treatment strategies and prognostic determinants. They also assess the effects of hernia repair on residual renal function, aiming to provide references for clinical decision-making.

The effects of different robust optimization parameters on the doses to organs-at-risk(OAR)and the clinical target volume(CTV)in proton therapy plans for localized prostate cancer are explored for identifying the optimal robust optimization parameters.A retrospective analysis is conducted on 10 cases in which proton plans with a total dose of 76 Gy delivered in 38 fractions are designed.In robust optimization,uncertainties of 3.5%in range and setup errors of 3,5 and 7 mm are considered.After being grouped by setup errors,3 groups of plans are obtained.The effects of setup errors on the doses to CTV and OAR are analyzed,and the robustness of the CTV dose is assessed,including the worst-case values of dosimetric parameters and the passing rates under different scenarios.The results show that as the setup error increased,the doses to OAR tended to rise.Compared with the 3 mm plan group,the 5 mm and 7 mm plan groups experience increases of 1.99%and 5.15%in rectal V70,3.71%and 10.01%in rectal V45,0.93%and 2.55%in bladder V70,and 1.71%and 5.27%in bladder V45,respectively;similar patterns are observed for the doses to sigmoid colon and bulbous urethra,and the differences are statistically significant(P<0.05).In robustness analysis,the CTV D99 in the 5 mm and 7 mm plan groups increases by 0.68 Gy and 0.95 Gy as compared with the 3 mm plan group,with passing rates improving by 7.2%and 9.6%,respectively(passing criterion:D95 receives at least 100%of the prescribed dose),with significant differences(P<0.05).Considering both OAR dose and CTV robustness,the setup error of 5 mm is found to be a reasonable choice for robust optimization in proton therapy plans for localized prostate cancer,as it can effectively balance the enhancement of CTV dose robustness with the control of dose escalation to OAR.