Objective To systematically review the studies on predictive models for delayed graft function (DGF) after kidney transplantation. Methods Databases including China Biology Medicine Database, China National Knowledge Infrastructure, Wanfang Database, VIP Database, PubMed, Web of Science and CINAHL were searched to collect studies on predictive models for DGF after kidney transplantation published from the establishment of each database to June 29, 2025. Two researchers screened the literatures according to the inclusion and exclusion criteria, evaluated the quality of the literatures using the prediction model risk of bias assessment tool (PROBAST), and conducted a meta-analysis of the common predictors of the models using R software. Results A total of 12 literatures were included, involving 14 predictive models with sample sizes ranging from 103 to 24 653 cases. Donor serum creatinine level, cold ischemia time, donor age and donor body mass index were the top four common predictors. All the predictive models were at high risk of bias and low in applicability. The results of meta-analysis showed that abnormal donor body mass index, advanced donor age, prolonged cold ischemia time and elevated donor serum creatinine level were all associated with an increased risk of DGF after transplantation (all P<0.01), but there was high heterogeneity among the studies. Fixed-effect model and random-effect model were used to re-pool the effect sizes separately. The results indicated that the fixed-effect model and random-effect model had good consistency in terms of donor body mass index, donor age and cold ischemia time, while there was a significant difference in the effect sizes of the two models for donor serum creatinine level. Conclusions The predictive models for DGF risk after kidney transplantation have good predictive performance, but the overall risk of bias is high. In the future, large-sample, multicenter and high-quality prospective clinical studies should be carried out to optimize the predictive models, so as to improve their predictive ability and clinical application value.

Objective:To explore the changes in plasma lipoprotein associated phospholipase A2(Lp-PLA2)and silencing information regulatory protein 1(SIRT1)in patients with sepsis complicated with acute kidney injury(AKI)and their relationship with short-term prognosis.Methods:243 sepsis patients who received treatment in our hospital from May 2022 to May 2024 were prospective selected,including 80 sepsis patients with AKI(AKI group)and 163 sepsis patients without AKI(non AKI group),the plasma Lp-PLA2 and SIRT1 levels between the two groups were compared.They were divided into good prognosis group and poor prognosis group according to 28 d prognosis after admission in AKI group.The influencing factors of short-term prognosis in sepsis patients complicated with AKI were analyzed by multiple logistic regression model.The short-term prognostic value of plasma Lp-PLA2 and SIRT1 alone and in combination for sepsis complicated with AKI patients was analyzed using receiver operating characteristic(ROC)curve.Results:Compared with non AKI group,AKI group had higher Lp-PLA2 and lower SIRT1(P＜0.05).39 deaths within 28 d after admission in AKI group(poor prognosis group),41 cases survived(good prognosis group),with poor prognosis rate of 48.75％(39/80).Sequential organ failure assessment(SOFA)score,acutephysiology and chronic health evaluationⅡ(APACHEⅡ)score,creatinine(Scr),lactate dehydrogenase albumin ratio(LAR)in poor prognosis group were higher than those in good prognosis group,while procalcitonin(PCT)was lower than that in good prognosis group(P＜0.05).Compared with the good prognosis group,poor prognosis group had higher Lp-PLA2 and lower SIRT1 at admission(P＜0.05).Elevated SOFA score,elevated Scr,elevated APACHEⅡ score,and elevated plasma Lp-PLA2 were risk factors for poor prognosis in sepsis patients complicated with AKI(P＜0.05),while elevated plasma SIRT1 was a protective factor(P＜0.05).ROC curve analysis results showed that,the combined detection of plasma Lp-PLA2 and SIRT1 predicted a poor prognosis for sepsis patients with AKI with an area under the curve(AUC)of 0.935,which was better than the prediction of 0.813 and 0.858 for plasma Lp-PLA2 and SIRT1 alone.Conclusion:Sepsis complicated with AKI patients have elevated plasma Lp-PLA2 and decreased SIRT1,combined detection of the two can assist in predicting the risk of poor prognosis.

Objective:To establish an arsenic free fully automatic online digestion iodine analyzer detection method for urinary iodine (hereinafter referred to as the method).Methods:Based on the principle of iodine catalyzed antimony cerium redox reaction, a fully automatic online digestion iodine analyzer was used to determine the iodine content in urine. The effectiveness of the method in terms of detection limit, precision, accuracy (determination of urinary iodine primary standard reference materials GBW09108z and GBW09110f and spiked recovery experiment), and interference experiments was validated. The method was compared with the arsenic cerium catalytic spectrophotometry method recommended by the National Reference Laboratory for Iodine Deficiency Disorders.Results:The linear range of the method was 0 - 300 μg/L, with a correlation coefficient │ r│> 0.999 5. The qualitative and quantitative detection limits were 7.41 and 18.01 μg/L, respectively. The relative standard deviation ( RSD) of urine samples with different iodine concentrations ranged from 1.0% to 1.7%. The results of the determination of iodine concentrations in urine using standard substances GBW09108z and GBW09110f were within the given standard range, with RSD < 2.5%. The range of spiked recovery rates for urine samples with different iodine concentrations was 101.3% to 104.8%, with an overall average spiked recovery rate of 103.0%. The average concentration of the baseline iodine standard solution was determined to be 116.21 μg/L, and the relative error of the concentration determination with the addition of interfering substances was less than 5.0%. The comparison results showed that there was no statistically significant difference in the measurement results between the two methods ( t = - 0.06, P = 0.952). Conclusions:The method adopts automated detection, which is simple to operate, labor-saving, and does not require the use of arsenic trioxide. It has high precision and accuracy, and is suitable for detection of large quantities of samples.

BACKGROUND:Osteoporosis is a high-risk factor for dental implant treatment.The preparation of tissue engineering scaffolds with sustained-release Alendronate and its application in oral implant surgery for osteoporosis patients is a current hot topic in oral bone tissue engineering research.OBJECTIVE:To prepare alendronate/chitosan/polyvinyl alcohol composite hydrogel film and characterize its sustained release properties.METHODS:(1)Chitosan/polyvinyl alcohol composite hydrogel films with varying mass ratios(mass ratios of chitosan and polyvinyl alcohol were 3:7,5:5,and 7:3,respectively),chitosan and polyvinyl alcohol hydrogel films were prepared using a physical crosslinking method.By characterizing the morphology,water contact angle,mechanical properties,swelling rate,and cell compatibility of the hydrogel film,a suitable hydrogel film was screened as a carrier of alendronate.(2)Chitosan/polyvinyl alcohol composite hydrogel films containing 0,0.4,1.2,and 2.0 mg/L alendronate were prepared,and rat bone marrow mesenchymal stem cells were co-cultured with the four groups of hydrogel films.The cytocompatibility of the hydrogel films was detected by CCK-8 assay and CD44 immunofluorescence staining.The drug-loaded chitosan/polyvinyl alcohol composite hydrogel films were immersed in PBS.The drug release performance of the composite hydrogel films was detected by ultraviolet-visible spectroscopy.RESULTS AND CONCLUSION:(1)The characterization results showed that with the increase of the mass of polyvinyl alcohol in the hydrogel film,the structural density of the hydrogel film increased,the porosity decreased,the water contact angle(all within 90°),the elongation at break and the compressive strength increased,and the equilibrium swelling rate decreased.It had no effect on the proliferation of rat bone marrow mesenchymal stem cells.Chitosan hydrogel film could promote the adhesion of rat bone marrow mesenchymal stem cells.The 3:7 and 5:5 ratio composite hydrogel films did not affect the adhesion of rat bone marrow mesenchymal stem cells.Polyvinyl alcohol hydrogel film and 7:3 ratio composite hydrogel film inhibited the adhesion of rat bone marrow mesenchymal stem cells.Based on the above results,the 5:5 composite hydrogel film was selected as the carrier of alendronate.(2)CCK-8 assay results showed that the composite hydrogel film containing 0.4 and 1.2 mg/L alendronate had no cytotoxicity.CD44 immunofluorescence staining results showed that the composite hydrogel film containing 0.4 mg/L alendronate did not affect the adhesion of rat bone marrow mesenchymal stem cells,while the composite hydrogel film containing 1.2 and 2.0 mg/L alendronate inhibited the adhesion of rat bone marrow mesenchymal stem cells.Chitosan/polyvinyl alcohol composite hydrogel film containing 0.4,1.2,and 2.0 mg/L alendronate released alendronate in the first 6 hours,and then released alendronate evenly and stably,with a release time of more than 96 hours.(3)The results showed that the chitosan/polyvinyl alcohol composite hydrogel film with a ratio of 5:5 had good physical and chemical properties and cytocompatibility,and could be used as a sustained-release carrier of alendronate.

Objective To conduct a cross-sectional study on the relationship between the serum uric acid(sUA)to high density lipoprotein-cholesterol(HDL-C)ratio(UHR)and female infertility.Methods We analyzed data from the National Health and Nutrition Examination Survey(NHANES)2013-2018 cycle,examining 2,963 women aged 18 to 45 years.A multivariable Logistic regression model was used to assess the association between UHR and infertility,adjusting for various confounding factors.The study also explored interactions and dose-response relationships through subgroup analyses and restricted cubic spline(RCS)models,and evaluated the predictive value of UHR for infertility by using receiver operating characteristic(ROC)curve analysis.Results The results showed that the prevalence of infertility was significantly higher among women with elevated UHR.Baseline characteristics revealed that the mean UHR in women with infertility(9.68±4.23)was significantly higher than in those without infertility(8.7±3.81,P<0.001).Multivariable Logistic regression analysis indicated that women in the highest quartile(Q4)of UHR had a significantly increased likelihood of infertility compared to those in the lowest quartile(Q1),with adjusted odds ratios(ORs)ranging from 1.61(95% CI:1.14-2.28)to 1.98(95% CI:1.42-2.78)across different models(P for trend<0.001).Subgroup analyses demonstrated that these associations were consistent across different age groups,body mass index(BMI)categories,and racial groups.The RCS model showed a significant linear dose-response relationship between UHR and infertility risk(nonlinear P=0.03,overall association P<0.001).Additionally,ROC analysis indicated that UHR had a moderate ability to discriminate infertility status,with an area under the curve(AUC)of 0.570.Conclusion A higher UHR is significantly associated with an increased risk of female infertility,and UHR has the potential to serve as a predictive biomarker for the risk of female infertility.

Aim To investigate the effect of linarin on improving cognitive behavior of APP/PS1 mice,and to explore the therapeutic effect of linarin on A β deposi-tion and neuroinflammation and its correlation.Meth-ods APP/PS1 transgenic mice were randomly divid-ed into the model group,high-dose group,medium-dose group,low-dose group and positive control group.C57BL/6J mice were set as the normal group.Morris water maze was used to evaluate the learning and mem-ory abilities of mice.TUNEL staining was used to de-tect the apoptosis of neurons in the CA1 region of mice.IHC was used to detect the expression levels of Aβ42 and GFAP.Western blot was used to detect the expression levels of BACE1 and PS-1.Results Com-pared with the normal group,mice of the model group showed lower NCP,shorter target quadrant travel,less target quadrant residence time percentage(all P＜0.01),higher apoptosis rate of neurons in the CA1 re-gion(P＜0.01),significantly higher protein expres-sion levels of A β42 and GFAP(all P＜0.01),and significantly higher protein expression levels of BACE1 and PS-1(all P＜0.01).Compared with the model group,the medium-dose group,high-dose group and positive control group showed higher NCP,longer tar-get quadrant travel,more target quadrant residence time percentage(all P＜0.05),lower apoptosis rate of neurons in the CA1 region(P＜0.01),significantly lower protein expression levels of A β42 and GFAP(all P＜0.01),and significantly lower protein expression levels of BACE1 and PS-1(all P＜0.01).Conclu-sions Linarin can inhibit two key enzymes to reduce the decomposition of APP and the generation of A β42,thereby inhibiting the activation of astrocytes,allevia-ting neuroinflammation,improving the core pathologi-cal features of AD,and thus significantly improving learning and memory impairment in APP/PS1 mice.

Objective To construct YOLOv10 based artificial intelligence(AI)models for the automatic detection in small bowel capsule endoscopy(SBCE)images.Methods SBCE data from two centers was collected,including 23 115 images and 35 412 annotated labels covering 11 categories of small bowel lesions.The images were annotated using the LabelMe tool and converted into the YOLO format required for deep learning model development.The pre-trained YOLOv10 and YOLOv8 models were used for transfer learning training on the constructed dataset.Model performance was comprehensively evaluated using metrics such as precision,accuracy,sensitivity,specificity,false-positive rate,and detection speed.Finally,the models were deployed on local computers for real-time detection of SBCE images and videos.Results Six different versions of YOLO object detection models were developed,namely YOLOv8n,YOLOv8s,YOLOv8m,YOLOv10n,YOLOv10s,and YOLOv10m.On the validation set,YOLOv10s model achieved the best mAP50(0.795);although its inference latency was not the fastest(4.803 ms/img),it met the requirements for clinical application.On the test set,YOLOv10s performed well,with an accuracy of 92.69%,a sensitivity of 89.23%,and a false-positive rate of 4.78%.Especially,in category-specific inference,the highest sensitivity was for"bleeding"at 96.41%,while the lowest was for"narrowing"at 82.29%.Conclusion The model constructed based on YOLOv10 neural network can rapidly and accurately detect and classify various small bowel lesions,exhibiting significant clinical application potential.

Objective:To explore the changes in plasma lipoprotein associated phospholipase A2(Lp-PLA2)and silencing information regulatory protein 1(SIRT1)in patients with sepsis complicated with acute kidney injury(AKI)and their relationship with short-term prognosis.Methods:243 sepsis patients who received treatment in our hospital from May 2022 to May 2024 were prospective selected,including 80 sepsis patients with AKI(AKI group)and 163 sepsis patients without AKI(non AKI group),the plasma Lp-PLA2 and SIRT1 levels between the two groups were compared.They were divided into good prognosis group and poor prognosis group according to 28 d prognosis after admission in AKI group.The influencing factors of short-term prognosis in sepsis patients complicated with AKI were analyzed by multiple logistic regression model.The short-term prognostic value of plasma Lp-PLA2 and SIRT1 alone and in combination for sepsis complicated with AKI patients was analyzed using receiver operating characteristic(ROC)curve.Results:Compared with non AKI group,AKI group had higher Lp-PLA2 and lower SIRT1(P＜0.05).39 deaths within 28 d after admission in AKI group(poor prognosis group),41 cases survived(good prognosis group),with poor prognosis rate of 48.75％(39/80).Sequential organ failure assessment(SOFA)score,acutephysiology and chronic health evaluationⅡ(APACHEⅡ)score,creatinine(Scr),lactate dehydrogenase albumin ratio(LAR)in poor prognosis group were higher than those in good prognosis group,while procalcitonin(PCT)was lower than that in good prognosis group(P＜0.05).Compared with the good prognosis group,poor prognosis group had higher Lp-PLA2 and lower SIRT1 at admission(P＜0.05).Elevated SOFA score,elevated Scr,elevated APACHEⅡ score,and elevated plasma Lp-PLA2 were risk factors for poor prognosis in sepsis patients complicated with AKI(P＜0.05),while elevated plasma SIRT1 was a protective factor(P＜0.05).ROC curve analysis results showed that,the combined detection of plasma Lp-PLA2 and SIRT1 predicted a poor prognosis for sepsis patients with AKI with an area under the curve(AUC)of 0.935,which was better than the prediction of 0.813 and 0.858 for plasma Lp-PLA2 and SIRT1 alone.Conclusion:Sepsis complicated with AKI patients have elevated plasma Lp-PLA2 and decreased SIRT1,combined detection of the two can assist in predicting the risk of poor prognosis.

Objective To construct YOLOv10 based artificial intelligence(AI)models for the automatic detection in small bowel capsule endoscopy(SBCE)images.Methods SBCE data from two centers was collected,including 23 115 images and 35 412 annotated labels covering 11 categories of small bowel lesions.The images were annotated using the LabelMe tool and converted into the YOLO format required for deep learning model development.The pre-trained YOLOv10 and YOLOv8 models were used for transfer learning training on the constructed dataset.Model performance was comprehensively evaluated using metrics such as precision,accuracy,sensitivity,specificity,false-positive rate,and detection speed.Finally,the models were deployed on local computers for real-time detection of SBCE images and videos.Results Six different versions of YOLO object detection models were developed,namely YOLOv8n,YOLOv8s,YOLOv8m,YOLOv10n,YOLOv10s,and YOLOv10m.On the validation set,YOLOv10s model achieved the best mAP50(0.795);although its inference latency was not the fastest(4.803 ms/img),it met the requirements for clinical application.On the test set,YOLOv10s performed well,with an accuracy of 92.69%,a sensitivity of 89.23%,and a false-positive rate of 4.78%.Especially,in category-specific inference,the highest sensitivity was for"bleeding"at 96.41%,while the lowest was for"narrowing"at 82.29%.Conclusion The model constructed based on YOLOv10 neural network can rapidly and accurately detect and classify various small bowel lesions,exhibiting significant clinical application potential.

BACKGROUND:Osteoporosis is a high-risk factor for dental implant treatment.The preparation of tissue engineering scaffolds with sustained-release Alendronate and its application in oral implant surgery for osteoporosis patients is a current hot topic in oral bone tissue engineering research.OBJECTIVE:To prepare alendronate/chitosan/polyvinyl alcohol composite hydrogel film and characterize its sustained release properties.METHODS:(1)Chitosan/polyvinyl alcohol composite hydrogel films with varying mass ratios(mass ratios of chitosan and polyvinyl alcohol were 3:7,5:5,and 7:3,respectively),chitosan and polyvinyl alcohol hydrogel films were prepared using a physical crosslinking method.By characterizing the morphology,water contact angle,mechanical properties,swelling rate,and cell compatibility of the hydrogel film,a suitable hydrogel film was screened as a carrier of alendronate.(2)Chitosan/polyvinyl alcohol composite hydrogel films containing 0,0.4,1.2,and 2.0 mg/L alendronate were prepared,and rat bone marrow mesenchymal stem cells were co-cultured with the four groups of hydrogel films.The cytocompatibility of the hydrogel films was detected by CCK-8 assay and CD44 immunofluorescence staining.The drug-loaded chitosan/polyvinyl alcohol composite hydrogel films were immersed in PBS.The drug release performance of the composite hydrogel films was detected by ultraviolet-visible spectroscopy.RESULTS AND CONCLUSION:(1)The characterization results showed that with the increase of the mass of polyvinyl alcohol in the hydrogel film,the structural density of the hydrogel film increased,the porosity decreased,the water contact angle(all within 90°),the elongation at break and the compressive strength increased,and the equilibrium swelling rate decreased.It had no effect on the proliferation of rat bone marrow mesenchymal stem cells.Chitosan hydrogel film could promote the adhesion of rat bone marrow mesenchymal stem cells.The 3:7 and 5:5 ratio composite hydrogel films did not affect the adhesion of rat bone marrow mesenchymal stem cells.Polyvinyl alcohol hydrogel film and 7:3 ratio composite hydrogel film inhibited the adhesion of rat bone marrow mesenchymal stem cells.Based on the above results,the 5:5 composite hydrogel film was selected as the carrier of alendronate.(2)CCK-8 assay results showed that the composite hydrogel film containing 0.4 and 1.2 mg/L alendronate had no cytotoxicity.CD44 immunofluorescence staining results showed that the composite hydrogel film containing 0.4 mg/L alendronate did not affect the adhesion of rat bone marrow mesenchymal stem cells,while the composite hydrogel film containing 1.2 and 2.0 mg/L alendronate inhibited the adhesion of rat bone marrow mesenchymal stem cells.Chitosan/polyvinyl alcohol composite hydrogel film containing 0.4,1.2,and 2.0 mg/L alendronate released alendronate in the first 6 hours,and then released alendronate evenly and stably,with a release time of more than 96 hours.(3)The results showed that the chitosan/polyvinyl alcohol composite hydrogel film with a ratio of 5:5 had good physical and chemical properties and cytocompatibility,and could be used as a sustained-release carrier of alendronate.