Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.

The disease-syndrome combination model of spleen deficiency with dampness pattern in ulcerative colitis（SDDP-UC） is an important experimental carrier for traditional Chinese medicine （TCM） research on the prevention and treatment of ulcerative colitis （UC）， and the quality of model construction and evaluation directly influences the scientific rigor and translational value of related research conclusions. However， this field still lacks methodological synthesis and a standardized consensus. Based on a comprehensive review of existing literature， this paper summarized isomorphic cues between the spleen deficiency with dampness pattern and UC across four dimensions， including energy metabolism， immune homeostasis， mucosal barrier， and intestinal microecology. The cues were mainly involved in impaired mitochondrial energy supply and glucose metabolic reprogramming， a lowered pro-inflammatory threshold of innate immunity with insufficient adaptive immune regulation， disruption of epithelial barrier gating accompanied by compromised repair capacity， and attenuation of the luminal hypoxia barrier with accumulation of toxic metabolites. A mutually reinforcing process between local "form damage" and systemic "Qi depletion" was further interpreted from a holistic perspective. Regarding modeling strategies， existing studies predominantly use rats as the carrier， apply combined interventions such as improper diet， external damp exposure， and fatigue-related dysregulation to establish the spleen deficiency with dampness pattern background， and subsequently superimpose chemical stimulation to induce UC-like colonic damage， with a total modeling period generally spanning three to four weeks. In terms of the evaluation system， a multidimensional framework integrating syndrome assessment， histopathology， mechanistic indices， and pharmacodynamic counter-verification was outlined. On this basis， current methodological bottlenecks of models were systematically identified， including syndrome drift risk and compounded stress dilemma in temporal sequencing， syndrome confounding from etiological simulation， cross-sectional evaluation bias related to modeling duration， inadequate disease-syndrome linkage and control design within the evaluation system， and limited controls with overly single-track decision logic in formula-based syndrome verification. To address the above issues， a construction and evaluation strategy emphasizing streamlining of core etiological factors， multi-node dynamic monitoring， integration of core disease-syndrome indicator clusters， and establishment of a formula-based syndrome verification system was proposed， providing a reference for the standardized construction and scientific evaluation of the SDDP-UC model.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective This study aimed to investigate the correlation of cerebral perfusion and cognitive function status in patients with minor stroke(MS)or transient ischemic attack(TIA)complicated by severe intracranial arterial stenosis or occlusion(hereafter referred to as ICAS-MSTIA).Methods Retrospectively enrol consecutive ICAS-MSTIA patients admitted to the Department of Neurology,the First Affiliated Hospital of Xi'an Jiaotong University,from June 2023 to May 2024.In the meantime,healthy controls were openly recruited.The ICAS-MSTIA patients were divided into two groups based on the side of intracranial large artery stenosis or occlusion:the left intracranial large artery involvement group and the right intracranial large artery involvement group.All patients with intracranial large artery stenosis or occlusion underwent MR scanning within 2 weeks after the first episode of TIA or MS,while there was no specific time requirement for MR examination in the healthy control group.On the day of MR scanning,the Montreal cognitive assessment(MoCA)scale was used to evaluate the participants'global cognitive function and performance in various cognitive domains,including visuospatial/executive function,naming,attention,language,abstraction,delayed recall,and orientation.General information of all participants was collected,including age,sex,educational level,body mass index,and history of smoking and alcohol consumption.Clinical data were collected from both left and right intracranial large artery involvement groups,including cerebrovascular risk factors(such as,diabetes mellitus,hypertension,and hyperlipidemia),National Institutes of Health stroke scale(NIHSS)score at admission,responsible stenotic or occluded arteries(internal carotid artery,middle cerebral artery),degree of stenosis in the responsible vessel(severe stenosis[stenosis rate 70%-99%],occlusion[stenosis rate100%])and non-responsible vessel(no stenosis[0],mild stenosis[stenosis rate＞0-49%]),collateral circulation compensation(American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology[ASTIN/SIR]collateral circulation classification),and responsible events(TIA,MS).General data and MoCA scale scores were compared across the three groups,while clinical data were compared between the left and right intracranial large artery involvement groups.Statistical parametric mapping 12(SPM 12)was used to perform voxel-wise independent samples t-tests on cerebral blood flow(CBF)differences among the left ICAS-MSTIA group,right ICAS-MSTIA group,and healthy control group,with cluster-level family-wise error(FWE)correction applied for adjustment.Multiple linear regression analysis was conducted to evaluate the relationship between global CBF values and total MoCA scores in ICAS-MSTIA patients with left or right intracranial large artery involvement.Results A total of 33 ICAS-MSTIA patients and 33 healthy controls were enrolled in the study.Among the ICAS-MSTIA patients,21 had left intracranial large artery involvement and 12 had right involvement.(1)Among the three groups,statistically significant differences were observed in the proportions of individuals with reported smoking history(P=0.024)and alcohol consumption history(P=0.011).The left intracranial large artery involvement group had a higher NIHSS score(0[0,2]vs.0[0,0],P=0.044)and a higher proportion of patients with internal carotid artery involvement(13/21 cases vs.2/12 cases,P=0.027)compared with the right side group.No statistically significant differences were observed in other general or clinical data across the three groups or between the two non-control groups(all P＞0.05).(2)Statistically significant differences were found across the three groups in the MoCA scale total score and scores of visuospatial/executive function,attention,language,abstraction,delayed recall,and orientation cognitive domains(all P＜0.05),while no significant difference was noted in the naming score(P=0.063).The left intracranial large artery involvement group had lower total MoCA score and lower scores in visuospatial/executive function,attention,language,abstraction,delayed recall,and orientation in comparison to the healthy control group(all P＜0.016 7).The right intracranial large artery involvement group had significantly lower scores in language,abstraction,and orientation domains than the healthy control group(all P＜0.016 7).Additionally,the left side group had a lower attention domain score than the right side group(P＜0.016 7).No other statistically significant differences were found in pairwise comparisons(all P＞0.016 7).(3)Patients in both the left and right intracranial large artery involvement groups exhibited a significant decrease in CBF in extensive regions on the affected side,including the temporal lobe,dorsolateral prefrontal cortex,and occipital lobe.Furthermore,after correction,in the left involvement group CBF was higher in the contralateral lingual gyrus,cuneus,and calcarine sulcus compared with the healthy control group(P＜0.05).While in the right involvement group,no regions had increased CBF compared to the healthy control group.(4)Multiple linear regression showed positive correlation between CBF in ipsilateral precentral gyrus and superior temporal gyrus,and the total MoCA score in patients with left intracranial large artery involvement(FWE-corrected,P＜0.05).In contrast,there was no correlation between CBF and total MoCA score in patients with right intracranial large artery involvement.Conclusions ICAS-MSTIA patients exhibited various degrees of impairment in cerebral perfusion and cognitive function.A significant positive correlation is observed between these two impairments in patients with left intracranial large artery involvement.

Objective To achieve efficient compression of on-board radiotherapy projection images using dynamic video encoding algorithms.Methods The on-board radiotherapy imaging system primarily provides 2D X-ray projection images for patient positioning verification and 3D tomographic image reconstruction.Since multiple projection images acquired continuously exhibit strong spatiotemporal correlations,their similarities could be used to eliminate redundant information,thereby improving the image compression ratio.During image compression,the image sets obtained at different times were arranged into an image sequence which was input into a video encoder and output as a video file.During image decompression,the video file was input into a video decoder and output as an image sequence,and the images in the sequence were then assigned back to their original image sets.Three current dynamic video encoding algorithms(AVC,HEVC,and AV1)and the classic static image coding algorithm(JPEG 2000)were tested on a database of 2D projection images.The performance of various compression algorithms was evaluated using indicators such as compression ratio(CR),peak signal-to-noise ratio(PSNR),and structural similarity(SSIM).Moreover,visual comparison of projection images before and after compression was evaluated by clinical radiation oncologists.Results Dynamic video encoding algorithms achieved higher CR than the static image coding algorithm.The average CR of the 3 dynamic video encoding algorithms was as followed:CRAVC=11.50,CRHEVC=30.74,and CRAV1=27.10,while the average CR of the static image coding algorithm(JPEG 2000)was 5.28.For abdominal projection images,well-defined contours and textural details were preserved even when the CR reached 42.37.For head-neck projection images,although mild contour blurring emerged at a CR of 20.71,subsequent evaluation by clinical radiation oncologists confirmed that the reconstructed CBCT images still satisfied clinical requirements.Conclusion These dynamic video encoding algorithms effectively utilize the strong correlation information between multiple projection images,reduce the storage of redundant information,and greatly improve the image CR.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Objective To explore the relationship between blood pressure at baseline and significant decline in cognitive function after 4 years in middle-aged and elderly people in rural Xi'an,and the potential effect of age on the relationship.Methods Data were collected from a cohort of middle-aged and elderly people with cognitive impairment in rural Xi'an,Shaanxi Province.The cohort consisted of people aged≥40 years from a village in Huyi District,Xi'an.The baseline survey was completed between October 2014 and March 2015,and two follow-up visits were conducted in 2016 and 2018.Blood pressure parameters studied included hypertension and high systolic blood pressure(≥140 mmHg vs.＜140 mmHg),and high diastolic blood pressure(≥90 mmHg vs.＜90 mmHg).The Mini-Mental State Examination(MMSE)was used to assess the whole cognitive function,and the decline of MMSE score ≥4 points in 4 years was defined as significant decline of cognitive function.Multivariate Logistic regression was used to analyze the relationship between blood pressure and cognitive function at baseline.Subgroup analysis was used to study the effect of age(＜65 vs.≥65 years)on the relationship.Results We recruited a total of 1 350 subjects in the analysis,including 235 subjects(17.4％)with baseline age ≥65 years and 533 male subjects(39.5％);671 subjects(49.7％)had hypertension,with systolic blood pressure of(131.71±17.79)mmHg;840 subjects(62.2％)had high systolic blood pressure,with diastolic blood pressure of(82.18±10.56)mmHg;395(29.3％)had high diastolic blood pressure.During the 4-year follow-up,56 cases(4.2％)met the criteria for significant decline of cognitive function.We did not find significant association of hypertension and high systolic blood pressure with cognitive decline in the general population,＜65-year-old subgroup,or ≥ 65-year-old subgroup.The incidence of significant cognitive decline was not statistically significant in the total population(3.6％vs.5.6％,P=0.092),the ≥65-year-old subgroup(7.5％vs.8.2％,P=0.855),the normal diastolic blood pressure group,or the high diastolic blood pressure group.However,in the subgroup＜65 years,the incidence of cognitive decline was higher in the high diastolic blood pressure group than in the normal diastolic blood pressure group(2.7％vs.5.1％,P=0.043).Multivariate analysis showed that high diastolic blood pressure was not found to be associated with significant cognitive decline in the total population(OR=1.744,95％CI:0.953-3.192,P=0.071),the subgroup of ≥65 years old(OR=0.858,95％CI:0.221-3.338,P=0.825),or the subgroup of ≥65 years old.In the＜65 age group,high diastolic blood pressure was significantly associated with cognitive decline(OR=2.051,95％CI:1.005-4.186,P=0.048).Conclusion High diastolic blood pressure is associated with 4-year cognitive decline in people aged 40-65 years,but not in those aged ≥65.No association is found between hypertension or high systolic blood pressure and significant cognitive decline.

Objective To investigate the relationship between baseline serum lipid levels and cognitive decline after a 4-year follow-up in a cohort of middle-aged and elderly people in rural Xi'an.Methods The data were collected from the cognitive impairment cohort of middle-aged and elderly people in rural areas of Xi'an,Shaanxi Province.The cohort selected the population ≥40 years old in two villages of Huyi District,Xi'an,as the research subjects.The baseline survey was completed from October 2014 to March 2015,and two follow-up visits were conducted in 2016 and 2018.The Mini-Mental State Examination(MMSE)was applied to assess the overall cognitive function.The MMSE score dropping between the 2014 and 2018(△MMSE)≥2 points were defined as cognitive decline.Baseline lipid levels[total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-c),low-density lipoprotein cholesterol(LDL-c)]were converted into three classification data based on 25％quantile and 75％quantile[Q1(≤25％)vs.Q2-Q3(25％-75％)vs.Q4(≥75％)],and using the Q2-Q3 group as the reference group.The relationship between serum lipid levels and cognitive decline at baseline was analyzed by multivariate Logistic regression.Interaction effect analysis and subgroup analysis were made to investigate the interaction effect of age(＜65 years vs.≥65 years)on the relationship between serum lipid and cognitive decline.Results There were 1 349 participants with complete baseline data,and 235(17.42％)were ≥65 years old at baseline;230 cases(17.05％)had cognitive decline.No significant association was found between TC,TG,LDL-c,HDL-c and cognitive decline in subgroups＜65 years of age.In the subgroup ≥65 years of age,the Q1(≤4.37 mmol/L)group of TC was not significantly associated with the risk of cognitive decline compared with the Q2-Q3(4.37-5.61 mmol/L)group of TC,but the Q,(≥5.61 mmol/L)group of TC was significantly associated withan increased risk of cognitive decline(OR=2.519,95％CI:1.217-5.214,P=0.013).Age had an interactive effect on the relationship between the Q4 group of TC and cognitive decline(OR=2.202,95％CI:1.111-4.363,P=0.024).Compared with the Q2-Q3(1.03-2.01 mmol/L)group of TG,the Q,(≤ 1.03 mmol/L)group of TG was associated with a lower risk of cognitive decline(OR=0.318,95％CI:0.120-0.838,P=0.020).Age had an interactive effect on the relationship between the Q1 group of TG and cognitive decline(OR=0.344,95％CI:0.132-0.896,P=0.029).However,there was no significant correlation between the Q4(≥2.01 mmol/L)group of TG and the risk of cognitive decline.Compared with the Q2-Q3(2.70-3.81 mmol/L)group of LDL-c,the Q1(≤ 2.70 mmol/L)group of LDL-c was not significantly associated with the risk of cognitive decline,but the Q4(≥3.81 mmol/L)group of LDL-c had significant association with an increased risk of cognitive decline(OR=2.367,95％CI:1.143-4.900,P=0.020).Age had an interactive effect on the relationship between the Q4 group of LDL-c and cognitive decline(OR=2.237,95％CI:1.134-4.415,P=0.020).No significant association was found between HDL-c and cognitive decline.Conclusion No significant association was found between HDL-c and cognitive decline at baseline.The relationship of TC,TG and LDL-c with cognitive decline was affected by age.Only in participants over 65 years old,the risk of cognitive decline was higher in those with high baseline levels of TC and LDL-c.Those with low baseline serum TG levels had a lower risk of cognitive decline.

Objective To investigate the effect of lifestyle on cognitive decline in rural people aged 40 years and older in Xi'an.Methods This was a prospective cohort study.People aged 40 years and older in two villages in Huyi District were selected as the study population.They completed the baseline survey from October 2014 to March 2015 as well as two follow-up visits in 2016 and 2018,respectively.A comprehensive score of lifestyle was calculated based on factors including smoking,drinking,exercise,and diet collected at the baseline.The Mini-Mental State Examination(MMSE)was used to evaluate global cognitive function at both baseline and follow-up;a≥4-point decrease in MMSE score from the baseline was defined as marked cognitive decline.Multivariable Logistic regression,propensity score correction,and propensity score matching were used to investigate the relationship between lifestyle and cognitive decline.Results A total of 1 348 participants were ultimately enrolled and 56(4.2％)of them met the criteria for marked cognitive decline(△MMSE≥4-points).Among them,386(28.6％)people had smoking history,184(13.6％)were drinkers,214(15.9％)lacked physical activity,and 400(29.7％)ate a diet high in oil and salt.Generally,304(22.6％)met the definition of the unhealthy lifestyle(comprehensive score＜6),which means more than one of the four subscales was unhealthy or more than two were relatively unhealthy.Multivariable Logistic regression analysis showed that unhealthy lifestyle was positively associated with marked cognitive decline(OR=2.838,95％CI:1.302-5.525,P=0.005).Propensity-score adjusted model yielded very similar results(OR=2.786,95％CI:1.371-5.661,P=0.005).Propensity score matching was performed to further balance the differences in covariates between the two groups.Multivariate Logistic regression analysis conducted in the matched population revealed that the risk of marked cognitive decline was still higher in those with unhealthy lifestyle(OR=3.994,95％CI:1.582-12.176,P=0.006).Conclusion Unhealthy lifestyle is associated with an increased risk of cognitive decline in cognitively normal people aged 40 years and older.

Objective To construct a prediction model for the progression of knee osteoarthritis(KOA)based on ultrasound score,magnetic resonance imaging(MRI)score,and serum levels of transforming growth factor-β1(TGF-β1)and cathepsin D(Cat D).Methods Clinical data from 270 patients with KOA in Hengshui People's hospital from December 2022 to June 2024 were retrospec-tively analyzed.The patients were randomly divided into a modeling set(n=189)and validation set(n=81)at a ratio of 7∶3.The patients in the modeling set were categorized into mild-to-moderate and severe groups based on the degree of disease progression.Mul-tivariate logistic regression analysis was used to identify factors influencing KOA progression,and a prediction model was constructed using R software.Results Multivariate logistic regression analysis showed that body mass index,knee injury history,ultrasound score,WORMS score,TGF-β1,and Cat D were significant predictors of KOA progression(P＜0.05).A nomogram-based prediction model was developed using these variables.The areas under the curve(AUC)of the nomograms for predicting disease progression in the modeling and validation sets were 0.889 and 0.860,respectively.The calibration curves showed that the predicted probability was in good agreement with the actual probability.Conclusion The prediction model developed in this study is effective in identifying patients at high-risk of KOA progression and may servce as a valuable tool for clinical assessment and decision making.