Objective To investigate the occurrence and characteristics of Antineutrophil cytoplasmic antibody(ANCA)associated vasculitis induced by methimazole,and to provide references for clinical safe drug use.Methods Case reports of ANCA associated vasculitis induced by methimazole published in Wanfang,CNKI,PubMed,and Web of Science were searched from the inception to October 31 st,2023.Demographic characteristics,drug use,complications,treatment and outcome were analyzed using descriptive statistical method.Results A total of 14 patients from 14literature were included.There were 3 males and 11 females with ages ranging from 8 to 79 years,with a mean age of(47.79±23.47)years.Four patients developed symptoms within 1 year,nine patients developed symptoms from 2 to 12 years,and 1 patient developed symptoms 24 years after medication.ANCA associated vasculitis affected kidney in 5 patients,lung and skin in 5patients,vision in 2 patients and heart in 2 patients.All patients discontinued methimazole,2 patients improved spontaneously without treatment,1 patient improved after anti-infection,and all others received hormonal or immunosuppressive therapy.1 patient developed death,and all others improved or were cured after treatment.Conclusions ANCA-associated vasculitis is a rare adverse reactionof methimazole.Most patients have a long latency period before the onset of disease,mainly involving multiple organs such asskin,kidney,lung,and eyesight.Clinicians should pay attention to differentiate it from primary vasculitis and discontinue the drug as soon as possible.When serious organ damage occurs,glucocorticoids and immunosuppressants should be adminstered promptly to avoid aggravation of the disease and endangerment of life.

Objective To explore the variation characteristics of ganglion cell complex(GCC)parameters in patients with diabetic retinopathy(DR)at different stages and their relationship with hemoglobin(HB)level.Methods A total of 97 DR patients who were treated in our hospital from January 2021 to January 2023 were selected and divided into the moderate non-proliferative DR(mNPDR)group(n=35),the severe non-proliferative DR(sNPDR)group(n=32),and the proliferative DR(PDR)group(n=30).The general data,biochemical indicators,and GCC parameters of the three groups were compared.Logistic regression was used to analyze the influence of ganglion cell layer(GCL)parameters on the staging of DR.In addition,according to the terartiles of HB levels,they were divided into the low-level(LHB)group of(10.31±1.13)g/dl(n=32),the medium-level(MHB)group of(12.52±0.32)g/dl(n=31),and the high-level(HHB)group of(14.73±0.31)g/dl(n=34).The general data,biochemical indicators and GCC parameters of the three groups were compared,and the influence of HB on the stage of DR were analyzed by Logistic regression.Logistic regression was used to analyze the influence of HB level on GCC parameters.Results The age,hemoglobin A1c(HbA1c),fasting plasma glucose(FPG),total cholesterol,local lost volume of GCC(FLV),and overall lost volume of GCC(GLV)in the mNPDR,sNPDR,and PDR groups increased successively(P<0.05).Rate of anemia,low-density lipoprotein cholesterol in PDR group was higher than mNPDR and sNPDR groups(P<0.05).The HB,albumin,total bilirubin(TBIL),direct bilirubin(DBIL),thicknesses of GCC,retinal nerve fiber layer(RNFL),and ganglion cell layer(GCL)decreased successively(P<0.05).The TBIL,DBIL,GCC thickness,RNFL thickness and GCL thickness in the LHB,MHB and HHB groups increased successively(P<0.05),while the age,serum creatinine,FLV and GLV decreased successively(P<0.05).HbA1c,FPG,rate of anemia in the HHB group were lower than those in the LHB and MHB groups(P<0.05),and triglyceride in the MHB and HHB groups were higher than that in the LHB group(P<0.05).Logistic regression analysis showed that after adjusting for confounding factors,all GCL thicknesses and HB levels were influencing factors for DR staging.After adjusting for GCC and RNFL thicknesses,HB levels were influencing factors for the average thickness,minimum thickness,upper thickness,and lower thickness of GCL.Conclusions Both the thickness of GCL and the level of HB are factors affecting the DR staging.The level of HB has an impact on the thickness of GCL and deserves clinical attention.

Aim To explore the differences in metabolic indicators among patients with intracranial atherosclerosis of different severity levels and their predictive value for cerebral artery stenosis and occlusion.Methods A total of 310 patients with suspected intracranial atherosclerosis who were treated in our hospital from February 2022 to February 2024 were selected,and they were divided into the normal group(n=155)and the occlusion group(n=155)based on whether cerebral artery stenosis and occlusion occurred.Patients in the occlusion group were divided into grade 1 group(n=40),grade 2 group(n=78)and grade 3 group(n=37)according to the grade of intracranial atherosclerosis.The clinical data and serum calcium and phosphorus metabolism indicator levels of patients with different grades of athero-sclerosis were compared.The generalized additive model(GAM)was used to analyze the relationship between the levels of serum calcium and phosphorus metabolism indicators and the grade of atherosclerosis.The clinical data of the occlusion group and the normal group were compared.Multivariate Logistic regression analysis was conducted to analyze the factors affecting cerebral artery stenosis and occlusion.The dose-response relationship between the levels of serum calcium and phosphorus metabolism indicators and cerebral artery stenosis and occlusion was analyzed.The differences in cerebral ar-tery stenosis and occlusion under different grades of atherosclerosis and different levels of serum calcium and phosphorus metabolism indicators were compared.The generalized linear model was used to analyze the influence of the severity of in-tracranial atherosclerosis on the association between cerebral artery stenosis and occlusion and the levels of serum calcium and phosphorus metabolism indicators.Results With the increase of atherosclerosis grading level,the levels of fasting blood glucose(FBG),high sensitivity C-reactive protein(hs-CRP),apolipoprotein B(ApoB),total cholesterol(TC),triglyceride(TG),low density lipoprotein cholesterol(LDLC),blood phosphorus,calcium-phosphorus product,and intact parathyroid hormone(iPTH)gradually increased,while the levels of apolipoprotein A(ApoA)and high density lip-oprotein cholesterol(HDLC)gradually decreased(P＜0.05).The results of GAM analysis showed that blood phosphor-us,calcium-phosphorus product and iPTH had a positive effect on atherosclerosis grading.Compared with normal group,the levels of FBG,hs-CRP,ApoB,TC,TG,LDLC,blood phosphorus,calcium-phosphorus product and iPTH were signif-icantly higher in occlusion group,and the levels of ApoA and HDLC were significantly lower(P＜0.05).Compared with the normal group,there were significantly fewer patients with atherosclerosis grade 0 in the occlusion group(P＜0.05).ApoA≤1.02 g/L,ApoB＞1.09 g/L,TC＞5.31 mmol/L,TG＞2.53 mmol/L,LDLC＞3.12 mmol/L,HDLC ≤ 1.26 mmol/L,blood phosphorus＞2.17 mmol/L,calcium-phosphorus product＞4.53(mmol/L)2,iPTH＞327.49 ng/L and atherosclerosis grade ≥1 were the risk factors for cerebral artery stenosis and occlusion(P＜0.05).The correlation intensity of blood phosphorus,calcium-phosphorus product,iPTH and cerebral artery stenosis and occlusion showed a non-linear dose-re-sponse relationship(P＜0.001).With the increase of atherosclerosis grading,the positive correlation between cerebral artery stenosis and blood phosphorus,calcium-phosphorus product and iPTH gradually increased.Conclusion There were significant differences in the levels of metabolic indicators among patients with intracranial atherosclerosis of different severity levels,and they had predictive value for cerebral artery stenosis and occlusion.

Aim To explore the differences in metabolic indicators among patients with intracranial atherosclerosis of different severity levels and their predictive value for cerebral artery stenosis and occlusion.Methods A total of 310 patients with suspected intracranial atherosclerosis who were treated in our hospital from February 2022 to February 2024 were selected,and they were divided into the normal group(n=155)and the occlusion group(n=155)based on whether cerebral artery stenosis and occlusion occurred.Patients in the occlusion group were divided into grade 1 group(n=40),grade 2 group(n=78)and grade 3 group(n=37)according to the grade of intracranial atherosclerosis.The clinical data and serum calcium and phosphorus metabolism indicator levels of patients with different grades of athero-sclerosis were compared.The generalized additive model(GAM)was used to analyze the relationship between the levels of serum calcium and phosphorus metabolism indicators and the grade of atherosclerosis.The clinical data of the occlusion group and the normal group were compared.Multivariate Logistic regression analysis was conducted to analyze the factors affecting cerebral artery stenosis and occlusion.The dose-response relationship between the levels of serum calcium and phosphorus metabolism indicators and cerebral artery stenosis and occlusion was analyzed.The differences in cerebral ar-tery stenosis and occlusion under different grades of atherosclerosis and different levels of serum calcium and phosphorus metabolism indicators were compared.The generalized linear model was used to analyze the influence of the severity of in-tracranial atherosclerosis on the association between cerebral artery stenosis and occlusion and the levels of serum calcium and phosphorus metabolism indicators.Results With the increase of atherosclerosis grading level,the levels of fasting blood glucose(FBG),high sensitivity C-reactive protein(hs-CRP),apolipoprotein B(ApoB),total cholesterol(TC),triglyceride(TG),low density lipoprotein cholesterol(LDLC),blood phosphorus,calcium-phosphorus product,and intact parathyroid hormone(iPTH)gradually increased,while the levels of apolipoprotein A(ApoA)and high density lip-oprotein cholesterol(HDLC)gradually decreased(P＜0.05).The results of GAM analysis showed that blood phosphor-us,calcium-phosphorus product and iPTH had a positive effect on atherosclerosis grading.Compared with normal group,the levels of FBG,hs-CRP,ApoB,TC,TG,LDLC,blood phosphorus,calcium-phosphorus product and iPTH were signif-icantly higher in occlusion group,and the levels of ApoA and HDLC were significantly lower(P＜0.05).Compared with the normal group,there were significantly fewer patients with atherosclerosis grade 0 in the occlusion group(P＜0.05).ApoA≤1.02 g/L,ApoB＞1.09 g/L,TC＞5.31 mmol/L,TG＞2.53 mmol/L,LDLC＞3.12 mmol/L,HDLC ≤ 1.26 mmol/L,blood phosphorus＞2.17 mmol/L,calcium-phosphorus product＞4.53(mmol/L)2,iPTH＞327.49 ng/L and atherosclerosis grade ≥1 were the risk factors for cerebral artery stenosis and occlusion(P＜0.05).The correlation intensity of blood phosphorus,calcium-phosphorus product,iPTH and cerebral artery stenosis and occlusion showed a non-linear dose-re-sponse relationship(P＜0.001).With the increase of atherosclerosis grading,the positive correlation between cerebral artery stenosis and blood phosphorus,calcium-phosphorus product and iPTH gradually increased.Conclusion There were significant differences in the levels of metabolic indicators among patients with intracranial atherosclerosis of different severity levels,and they had predictive value for cerebral artery stenosis and occlusion.

Objective:To analyze risk factors associated with false-positive results of quantitative fecal immunochemical testing (FIT), evaluate its performance for detecting advanced colorectal neoplasia across different subgroups, and explore the optimal positivity thresholds for each subgroup.Methods:Individuals who participated in the Zhejiang Colorectal Cancer Screening Program in 2020-2021, completed questionnaire-based risk assessment and quantitative FIT for initial screening, and undertook colonoscopy for confirmed diagnosis were included in this study. The information of individuals, including demographic characteristics, lifestyles, history of diseases, and family history of colorectal cancer (CRC), was collected by using questionnaires. The diagnostic outcomes of the individuals were obtained through colonoscopy and pathological examination. Multivariate logistic regression analyses were conducted to identify factors associated with false-positive FIT results. The optimal threshold of FIT was determined based on the receiver operating characteristic (ROC) curve and 10-fold cross-validation. The effectiveness of FIT screening in different subgroups was compared using the unified threshold of 100 ng/ml or optimal positivity thresholds.Results:There were 25 874 individuals included in the analysis, with 14 694 (56.79%) having fecal hemoglobin concentrations ≥100 ng/ml. A total of 3 830 advanced adenoma cases (14.80%) and 362 CRC cases (1.40%) were identified. Age below 60 years old, females, underweight, smoking, drinking, use of nonsteroidal anti-inflammatory drugs, no family history of CRC, no history of intestinal disease, no history of hypertension, and physical inactivity were associated with an elevated risk of false-positive results in FIT ( P<0.05). Compared to the predetermined threshold of 100 ng/ml, the false positive rate (FPR) of quantitative FIT decreased from 52.3% to 37.3% in all individuals, and decreased by more than 20% in females, individuals with normal weight, smokers, and those without a history of intestinal disease when adopting the optimal threshold (all P<0.001). Conclusion:The risk of false-positive results in quantitative FIT varies across different subgroups. Adopting the optimal thresholds could improve the specificity and reduce the FPR of quantitative FIT for CRC screening.

Knee osteoarthritis (KOA) is a prevalent degenerative joint disease characterized by synovial inflammation, cartilage loss. Often manifesting as joint pain and limited mobility, it severely affects the quality of life of patients. Traditional treatment methods such as pharmacological injections and surgical interventions primarily aim to alleviate symptoms but have limited effects on cartilage repair. Human umbilical cord mesenchymal stem cells (hUC-MSCs), due to their anti-inflammatory and chondrogenic capabilities, is considered a new hope for the treatment of KOA. This article synthesizes the latest research findings from both domestic and international sources to discuss the theoretical basis for the clinical application of hUC-MSCs in treating KOA, clinical study design, and efficacy evaluation. It also addresses the challenges in the clinical application of hUC-MSCs and explores future directions, in the hope of providing feasible theoretical support for the treatment of KOA with hUC-MSCs.

[Objective] To explore the strategy of blood management in patients with massive transfusion in the frigid plateau region. [Methods] The treatment process of a patient with liver rupture in the frigid plateau region was analyzed, and the blood management strategy of the frigid plateau region was discussed in combination with the difficulties of blood transfusion and literature review. [Results] The preoperative complete blood count (CBC) test results of the patient were as follows: RBC 3.14×10¹²/L, Hb 10⁶ g/L, HCT 30.40%, PLT 115.00×10⁹/L; coagulation function: PT 18.9 s, FiB 1.31 g/L, DD > 6 μg/mL, FDP 25.86 μg/mL; ultrasound examination and imaging manifestations suggested liver contusion and laceration / intraparenchymal hematoma, splenic contusion and laceration, and massive blood accumulation in the abdominal cavity; it was estimated that the patient's blood loss was ≥ 2 000 mL, and massive blood transfusion was required during the operation; red blood cell components were timely transfused during the operation, and the blood component transfusion was guided according to the patient's CBC and coagulation function test results, providing strong support and guarantee for the successful treatment of the patient. The patient recovered well after the operation, and the CBC test results were as follows: RBC 4.32×10¹²/L, Hb 144 g/L, HCT 39.50%, PLT 329.00×10⁹/L; coagulation function: APTT 29.3 s, PT 12.1 s, FiB 2.728 g/L, DD>6 μg/mL, FDP 25.86 μg/mL. The patient was discharged after 20 days, and regular follow-up reexamination showed no abnormal results. [Conclusion] Individualized blood management strategy should comprehensively consider the patient’s clinical symptoms, the degree of hemoglobin decline, dynamic coagulation test results and existing treatment conditions. Efficient and reasonable patient blood management strategies can effectively improve the clinical outcomes of massive transfusion patients in the frigid plateau region.

OBJECTIVE To investigate the expression and clinical significance of microRNA-223(miR-223),mono-cyte chemoattractant protein-1(MCP-1),and basic fibroblast growth factor(bFGF)in patients with colostomy infection after rectal cancer surgery.METHODS One hundred patients with rectal cancer who underwent surgery in Zhejiang Provincial People's Hospital between Jun.2022 and Jun.2024 were chosen retrospectively and divided in-to an infection group(n=27)and a non-infection group(n=73)based on whether colostomy infection occurred within seven days after surgery.The etiological features of postoperative hospital-acquired infection were analyzed,and the differences in serum miR-223,bFGF,and MCP-1 levels between the infected and non-infected groups were detected.The receiver operating characteristic(ROC)curve was used to analyze the predictive values of ser-um miR-223,bFGF,and MCP-1 for postoperative colostomy infection.RESULTS A total of 30 pathogenic strains were isolated from 27 patients in the infection group,including 17 gram-negative bacteria(56.67%),11 gram-positive bacteria(36.67%),and 2 fungi(6.67%),with Escherichia coli being the most common.The serum lev-els of miR-223 and MCP-1 were higher in the infected group than those in the non-infected group,while bFGF was lower in the infected group(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)for the combined detection of serum miR-223,bFGF,and MCP-1 was 0.944,with the sensitivity of 88.88%and spe-cificity of 94.52%.CONCLUSIONS Postoperative colostomy infection in rectal cancer patients is primarily caused by E.coli and is associated with changes in serum miR-223,bFGF and MCP-1 levels.Abnormally high expression of miR-223 and MCP-1 and abnormally low expression of bFGF can predict postoperative colostomy infection in rectal cancer,which can provide an important basis for clinical diagnosis of postoperative infections in the rectal cancer patients.

Objective:In order to reduce the trauma associated with fetal cardiopulmonary bypass(F-CPB), Our team plans to develop a minimally invasive F-CPB through a small incision in the right axilla. The efficacy of this technique will be verified by using a big experimental animal model, thereby laying the foundation for fetal cardiac surgery supported by F-CPB in the future.Methods:Ten pregnant sheep were divided into F-CPB group(n=5) and control group(n=5). After fasting for 24 h, fetal lambs in the F-CPB group underwent a right axillary incision to establish F-CPB running for 1 h; The control group of fetal lambs only expose heart 1 h without F-CPB. Collect blood sample for laboratory test at the CPB vehicle before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the F-CPB group and through Superior Vena Cava before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the control group.Results:The blood routine indicators such as RBC, HCT, and Hb in the F-CPB group of fetal lambs decreased significantly during F-CPB, and their distribution showed significant statistical differences compared with the control group( P<0.05). There were no significant statistical differences in blood gas indicators such as pH, PO 2, PCO 2, and lactate concentration between the F-CPB group and the control group( P>0.05). There was no statistically significant difference in the concentration of cTnI in fetal lamb serum at each time point( P>0.05). There were significant statistical differences( P<0.05) in the distribution of fetal lamb Alb, γ-GGT, CK concentration and cholesterol concentration at various time points in the F-CPB group compared with the control group in liver function examination. In addition, the distribution of BUN in fetal lambs showed a significant difference between the two groups( P=0.006). Conclusion:A minimally invasive F-CPB via small incision in the right axilla is safe and feasible. The experimental animal model has demonstrated that this technique has minimal impact on the vital organ functions and internal environment of fetal lambs, thereby laying the foundation for clinical fetal cardiac surgery in the future.

Objective To establish an effective model for distinguishing glandular prodromal lesions(PGL)mixed with ground-glass nodules(mGGN)from minimally invasive adenocarcinoma(MIA)on CT based on artificial intelligence.Methods A retrospective analysis was conducted on the clinical and CT image data of 180 patients with lung adenocarcinoma confirmed by surgical pathology and with CT manifestations of mGGN in the First Affiliated Hospital of Wenzhou Medical University from January 2017 to June 2023,inclu-ding 66 patients with PGL and 114 patients with MIA.Patients were divided into the training set(n=144)and the test set(n=36)in an 8∶2 ratio using a completely random method.The quantitative parameters and radiomics features of the lesions in CT images were automatically extracted using artificial intelligence soft-ware(United Imaging Research Platform uRP).By incorporating the most obvious correlation features of omics through dimensionality reduction,five machine learning classifiers were established,including logistic regression(LR),support vector machine(SVM),Random forest(RF),Gaussian process(GP),and Decision Tree(DT).The classifier with the training set highest area under the curve(AUC)was selected as the best radiomics model,and output the result as radiomics score(Rad-score).The clinical information,CT morpho-logical characteristics and quantitative data of the two groups were included in the multivariate logistic regres-sion analysis to screen the independent influencing factors for effectively differentiating PGL and MIA,and a clinical model was established.Finally,a comprehensive prediction model was constructed based on Rad-score and clinical risk factors.The diagnostic performance of the three models was evaluated by using the AUC,sen-sitivity,specificity and accuracy of receiver operating characteristic(ROC)curve.Results Eleven radiomics features for distinguishing PGL from MIA were obtained through LASSO dimensionality reduction.Among the five machine learning classifiers,GP has the best diagnostic performance,with AUC of 0.865 in the train-ing set and 0.762 in the test set,respectively.Univariate and multivariate logistic regression analyses were used for clinical feature screening.The clinical model was constructed by using the average CT value,average long and short diameter,and solid partial long diameter of mGGN,and the AUCs of the training set and the test set were 0.870 and 0.794,respectively.The comprehensive prediction model demonstrated superior diag-nostic performance,with AUC,sensitivity,specificity,and accuracy in the training set being 0.948,81.1%,91.2%and 87.5%respectively,while 0.883,76.9%,91.3%and 86.1%respectively in the test set.Conclu-sion The comprehensive prediction model established based on the quantitative and omics feature analysis of pulmonary nodules by artificial intelligence can well distinguish mGGN mixed with PGL from MIA on CT,and can be used to guide clinical treatment decisions.