Background: s/Aims: Postoperative pancreatic fistulas (POPF) remain a major cause of morbidity and mortality following pancreatoduodenectomy (PD). Pancreatogastrostomy (PG) and pancreatojejunostomy (PJ) are the two most commonly used reconstruction techniques, yet evidence favoring one over the other is inconclusive. This study evaluates postoperative outcomes following open PD at a single institution that transitioned from PG to PJ as the preferred reconstruction method. Methods: This retrospective comparative study included patients who underwent PD between April 2005 and August 2022. Of 757 patients identified, 522 met the inclusion criteria. Propensity score matching (PSM) was performed to adjust for clinically relevant covariates. Primary endpoints were clinically relevant (CR) POPF (grade B/C) and Clavien–Dindo (CD) grade ≥ 3 POPFs. Secondary outcomes included post-pancreatectomy hemorrhage (PPH), delayed gastric emptying (DGE), systemic complications, length of hospital stay, and mortality. Results: Overall, CR-POPF and CD grade ≥ 3 POPFs occurred in 21.3% and 8.0% of patients, respectively. Thirty-day and in-hospital mortality rates were 3.1% and 4.2%. After PSM, 368 patients (184 PG and 184 PJ) were analyzed. Grade B POPFs were more frequent following PJ than PG (24.5% vs. 15.8%, p < 0.001). Although CR-POPF and CD grade ≥ 3 POPFs were numerically higher in the PJ group, differences were not statistically significant. In contrast, DGE, PPH, and in-hospital mortality were significantly higher following PG (37.0% vs. 25.0%, p = 0.025; 16.3% vs. 8.7%, p = 0.025; and 7.6% vs. 2.7%, p = 0.049, respectively). Conclusions PG was associated with a lower incidence of grade B POPFs but higher rates of DGE, PPH, and in-hospital mortality.

Introduction: The 2021 IDF-DAR risk calculator had been previously evaluated in multiple studies and subsequently widely accepted and applied in clinical practice as a practical standardized tool for patient risk stratification. Recently updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating modern diabetes technologies, including continuous glucose monitoring (CGM), automated insulin delivery (AID) systems, and advanced insulin formulations to enhance risk stratification. This tool allows medical professionals to tailor Ramadan practices based on overall factors toward promoting safe fasting. Methodology: This prospective multicentre observational study recruited adults with Type 1 and Type 2 diabetes attending public hospitals nationwide. People with diabetes (PwD) intending to perform Ramadan fasting were invited to participate and assessed using the 2026 IDF-DAR Risk Calculator in the 6-week pre-Ramadan period between 30th January and 19th March 2026. Results: A total of 458 PwD were evaluated and stratified into low (15.7%), moderate (41%), and high risk (43.3%) categories. Most participants had Type 2 diabetes (83.6%), with 60.3% having a disease duration exceeding 10 years and 43% exhibiting poor glycemic control (hemoglobin A1c >9%). Insulin therapy was used by 76.4% of participants, including two individuals with Type 1 diabetes using AID systems. Most participants reported no recent hypoglycemia (76.4%), 81.0% performed glucose monitoring, and 3.3% used CGM. Severe comorbidities were uncommon, with 1.1% having unstable macrovascular disease and 4.4% advanced chronic kidney disease (estimated glomerular filtration rate <30). Notably, 72.2% received structured Ramadan education. Conclusion Majority of PwD attending tertiary diabetes clinics were in the moderate- to high-risk category and intended to fast despite medical advice against fasting in some cases. Although most participants were on insulin therapy, hypoglycemia was low in the pre-Ramadan period. Integration of modern technologies, advanced insulin therapies, and structured education may support safer fasting practices.
Risk Assessment ; Diabetes Mellitus ; Hospitals ; Fasting

Diabetic nephropathy belongs to diabetic microvascular aseptic inflammation， which is the main cause of end-stage renal disease and can cause damage to the structure of glomeruli and tubulointerstitium. Pyroptosis is a potent pro-inflammatory model of programmed cell death mediated by gasdermin （GSDM） protein family， which is characterized by nuclear shrinkage， chromatin DNA fragmentation， plasma membrane rupture， cell swelling and deformation. Related studies have found that pyroptosis is closely related to the occurrence and development of diabetic nephropathy. Inhibition of pyroptosis to a certain extent can reduce diabetic renal injury， so the pathway of pyroptosis involved in the pathogenesis of diabetic nephropathy is the current research focus. The characteristics of multi-components， multi-targets and multi-pathways of traditional Chinese medicine have significant advantages in the treatment of diabetic nephropathy. Some components of traditional Chinese medicine， single traditional Chinese medicine and compound prescription of traditional Chinese medicine can improve diabetic renal injury by inhibiting pyroptosis pathway and related targets. Based on the molecular mechanism of pyroptosis， this paper clarifies the mechanism of pyroptosis in diabetic nephropathy by expounding the relationship between pyroptosis and its pathway targets and diabetic nephropathy. This paper summarizes the research status of traditional Chinese medicine in the treatment of diabetic nephropathy by interfering with related pyroptosis pathways in recent years， so as to provide perspectives and ideas for the prevention， early diagnosis， drug development and molecular treatment of diabetic nephropathy in the future.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [⁶⁴Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [⁶⁴Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [⁶⁴Cu]QM-2303 from the bloodstream. Administration of a single dose of [¹⁷⁷Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.

BACKGROUND: Electroacupuncture (EA) may affect the severity of hot flashes (HFs) associated with natural menopause and provide additional benefits for postmenopausal women. However, the evidence for its effectiveness in the management of early postmenopausal HFs remains inadequately understood. OBJECTIVE: We designed this trial to assess the efficacy and safety of EA for relieving early postmenopausal HFs. DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: This randomized sham-controlled trial involved 72 women with HFs. The participants were divided equally into the intervention and control groups. The intervention group was treated with EA, while the control group was treated with sham acupuncture. The main acupoints used were Hegu (LI4), Guanyuan (RN4), Sanyinjiao (SP6), Taixi (KI3), Fuliu (KI7) and Shenshu (BL23). All participants received 18 treatment sessions, distributed across a 6-week period. The treatment was administered on three occasions per week, adhering to a fixed weekday schedule (Monday, Wednesday, Friday or Tuesday, Thursday, Saturday) with a minimum interval of one day between sessions. Each patient received a 12-week follow-up. MAIN OUTCOME MEASURES: The HF score was the primary outcome. Participants documented the frequency and severity of HFs in a 7-day symptom diary, which provided data for calculating the HF score. Secondary outcomes were the Menopause Rating Scale (MRS), Menopause-Specific Quality of Life Questionnaire (MENQOL), Pittsburgh Sleep Quality Index (PSQI) and Traditional Chinese Medicine Syndrome Score Scale (TCMSSS), as well as estradiol (E₂), luteinizing hormone (LH) and follicle-stimulating hormone (FSH) levels. RESULTS: Both groups demonstrated significant reductions in HF scores after the treatment and during the follow-up (P < 0.001). Immediately after completion of the 6-week treatment cycle and at 12 weeks post-intervention, the HF scores were similar in both groups. At week 6, the intervention group showed significantly greater improvements in MRS, MENQOL (vasomotor, psychosocial, and physical), PSQI and TCMSSS scores (P < 0.05). The improvements in the MENQOL (vasomotor, and psychosocial) and PSQI total scores persisted through the follow-up (P < 0.05). However, the results showed no significant inter- or intragroup differences in sexual scores on the MENQOL (P > 0.05). EA did not significantly decrease E₂, LH or FSH levels compared to placebo. The incidence of adverse events was similar in both groups. CONCLUSION: EA does not significantly improve HFs in early postmenopausal patients. However, it enhances the quality of sleep and decreases menopausal symptoms across vasomotor, psychosocial and physical domains. TRIAL REGISTRATION Chinese Clinical Trial Registry (http://www.chictr.org.cn); Trial ID: ChiCTR2300072002. Please cite this article as: Wang HX, Yu XT, Hu J, Chen JJ, Mei YT, Chen YF. Electroacupuncture for hot flashes in early menopause: A randomized sham-controlled trial. J Integr Med. 2025; 23(5):519-527.
Humans ; Female ; Electroacupuncture ; Hot Flashes/therapy* ; Middle Aged ; Acupuncture Points ; Quality of Life ; Menopause ; Treatment Outcome ; Adult

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

[This corrects the article DOI: 10.11909/j.issn.1671-5411.2017.08.005.].

Objective:To investigate the predictive value of serum neutrophil gelatinase-associated lipocalin(NGAL),calcitonin gene-related peptide(CGRP),and neutrophil-to-lymphocyte ratio(NLR)for the prognostic regression of elderly patients with stroke complicated with pulmonary infection(SCPI).Methods:This study was a retrospective single-center study,149 elderly patients with SCPI who were admitted to Inner Mongolia Baogang Hospital from June 2020 to June 2024 were selected,they were divided into poor prognosis group(n=56)and good prognosis group(n=93)according to the prognosis.Baseline data and laboratory test indicators were collected,and NLR was calculated.Serum NGAL and CGRP levels were measured by ELISA.Influencing factors of poor prognosis of elderly patients with SCPI were analyzed by Multivariate logistic regression.Predicts value was analyzed by Receiver operating characteristic(ROC)curve.Results:Compared with good prognosis group,the poor prognosis group had higher of aged ≥ 70 years,incidence of hemorrhagic stroke,serum creatinine,white blood cell count,national institute of health stroke scale(NIHSS),platelet count,C-reactive protein,NGAL,and NLR levels,longer nerosurgery intensive care unit(NICU)stay,and lower CGRP levels(P＜0.05).Higher CGRP level was an independent protective factor of poor prognosis of elderly patients with SCPI(OR＜1,P＜0.05).Age ≥ 70 years,hemorrhagic stroke,longer NICU stay,higher NIHSS score,higher NGAL level and higher NLR were independent risk factors of poor prognosis of elderly patients with SCPI(OR＞1,P＜0.05).The area under the curve(AUC)for predicting the prognostic regression of elderly patients with SCPI used NGAL,CGRP,and NLR alone or in combination was 0.777,0.771,0.786,and 0.927,respectively,with the combination of three factors showed the highest predictive power(P＜0.05).Conclusion:Age ≥70 years,hemorrhagic stroke,longer NICU stay,higher NIHSS score,higher NGAL level and higher NLR are independent risk factors of poor prognosis of elderly patients with SCPI,while higher CGRP level is an independent protective factor.The combination detection of NGAL,CGRP and NLR can improve the predictive value of prognostic regression in elderly patients with SCPI.