Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Objective:To examine the current diagnostic and treatment practices, as well as surgical outcomes, for individuals over the age of 60 diagnosed with acute aortic arch dissection(ATAAD)at Tianjin University Chest Hospital.This analysis evaluates the safety and feasibility of performing open surgical procedures on elderly patients affected by aortic dissection.Methods:A retrospective analysis was conducted on 509 patients diagnosed with ATAAD who were registered in the Chest Pain Center data reporting platform(https: //datacs.chinacpc.org/)at Tianjin Chest Hospital, covering the period from June 2015 to December 2021.The patients were divided into two groups: the elderly group, consisting of individuals aged 60 years or older, and the non-elderly group, comprising those under 60 years of age.Their surgical conditions and short-term outcomes were subsequently examined and compared.Results:A total of 509 patients were included, 311 cases(61.1%)were identified within the non-elderly group, with a mean age of 45.78 ± 8.96 years(range: 21-59 years).In contrast, 198 cases(38.9%)belonged to the elderly group, with a mean age of 65.61 ± 4.13 years(range: 60-81 years).A total of 416 patients(81.7%)received surgical intervention.Among those who underwent surgery, the elderly group exhibited a significantly higher proportion of females(38.1% vs.20.6%, P<0.001), and these patients had smaller body surface areas and lower body mass index values.Furthermore, a greater number of elderly patients presented with comorbid conditions such as hypertension, coronary artery disease, chronic obstructive pulmonary disease, and stroke(all P<0.05).The 30-day all-cause mortality rate, incidence of cerebral infarction, and rate of continuous renal replacement therapy(CRRT)utilization were similar in both groups(20.9% vs.18.8%、15.1% vs.10.5%、19.4% vs.18.1%, all P>0.05).However, elderly patients experienced longer postoperative recovery durations, extended periods of ventilator dependency, and a higher incidence of new-onset atrial fibrillation following surgery(all P<0.05). Conclusions:The surgical rate for elderly patients with ATAAD is low, suggesting that there is significant potential for improvement in clinical diagnosis and treatment.Advanced age should not be viewed as a contraindication for surgery; rather, appropriate case selection and personalized treatment plans can enhance the success rate of surgical interventions.

Objective To analyze the serum of patients with pancreatic cancer by fourier transform infrared spectroscopy(FTIR),explore the characteristic spectral parameters related to pancreatic cancer,and evaluate its potential clinical diagnostic value.Methods Serum samples were collected from 100 patients diagnosed with pancreatic cancer and 92 healthy volunteers at Chongming Hospital Affiliated to Shanghai Health Medical College from August 2022 to July 2023.These samples underwent FTIR and principal component analysis(PCA)to assess spectral differences between the two cohorts.The diagnostic potential of the serum spectra in distinguishing pancreatic cancer patients from healthy individuals was further evaluated using machine learning techniques,specifically support vector machine(SVM),k-nearest neighbor(kNN),and linear discriminant analysis(LDA)as classification methods.The diagnostic efficacy across various thresholds was evaluated using the receiver operating characteristic(ROC)curve.Results The findings indicate that the peak positions within the 1 090～1 070cm-1(1 076.537±15.183cm-1 vs 1 081.061±4.043cm-1),1 420～1 380 cm-1(1 399.958±1.508cm-1 vs 1 400.500±1.782cm-1),2 990～2 950cm-1(2 940.167±15.287cm-1 vs 2 945.124±7.498cm-1)and 3 500～3 000 cm-1(3 293.155±3.096cm-1 vs 3 294.893±2.582cm-1)range in the serum of individuals with pancreatic cancer exhibited a significant blue-shift compared to the healthy group and was statistically significant(t=2.265～4.236,all P<0.05),suggesting alterations in the structures of proteins,lipids and nucleic acids.Furthermore,a statistically significant disparity in peak absorption was observed between the group of patients with pancreatic cancer and the healthy group within the spectral ranges of 1 700～1 600cm-1(0.918±0.012cm-1 vs 0.858±0.021cm-1)and 3 500～3 000 cm-1(0.766±0.096cm-1 vs 0.804±0.090cm-1)(t=-24.031,2.830,all P<0.05),indicating that the protein concentration changes.PCA results showed that the PC2 axis was clearly separated,which could distinguish serum samples from patients with pancreatic cancer.Utilizing a machine learning model to differentiate the serum spectra of patients with pancreatic cancer from those of healthy controls,the sensitivity,the spesitivity,the specificity and accuracy of linear discriminant analysis(LDA)classification method were 93.2%,97.3%and 95.8%,respectively.The area under curve(AUC)as determined by ROC analysis was 0.982.Conclusion Serum spectroscopy using FTIR combined with PCA and machine learning model can be a simple,minimally invasive and reliable diagnostic test for pancreatic cancer detection.

ObjectiveTo investigate the effects of modified Ditan tang on genes related to the transcription-translation feedback loop （TTFL） of biorhythm in the rat model of non-alcoholic fatty liver disease （NAFLD） and its mechanism for prevention and treatment of NAFLD. MethodsSixty-five healthy SPF male SD rats were randomly assigned into blank （n=20）， model （n=15）， and low-， medium-， and high-dose （2.68， 5.36， and 10.72 g·kg^-1·d^-1， respectively） modified Ditan tang （n=10） groups. Other groups except the blank group were fed a high-fat diet for 12 weeks. The modified Ditan tang groups were treated with the decoction at corresponding doses by gavage， and the blank and model groups were treated with an equal volume of normal saline from the 9th week for 4 weeks. The levels of triglyceride （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in the serum were measured by an automatic biochemical analyzer. TG and non-esterified fatty acid （NEFA） assay kits were used to measure the levels of TG and NEFA in the liver. The pathological changes in the hypothalamus and liver were observed by hematoxylin-eosin staining， and the lipid deposition in the liver was observed by oil red O staining. The levels of brain-muscle ARNT-like protein 1 （BMAL1/ARNTL） in the hypothalamus and liver were determined by immunohistochemical staining. The mRNA and protein levels of BMAL1， circadian locomotor output cycles kaput （CLOCK）， period circadian clock 2 （PER2）， and cryptochrome1 （Cry1） in the hypothalamus and liver were determined by Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed elevated levels of TG， TC， LDL-C， AST， and ALT （P<0.01） and a lowered level of HDL-C （P<0.05） in the serum， elevated levels of TG and NEFA in the liver （P<0.01）， pyknosis and deep staining of hypothalamic neuron cells， and a large number of vacuoles in the brain area. In addition， the model group showed lipid deposition in the liver， up-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.01）， and down-regulated mRNA and protein levels of Cry1 and PER2 （P<0.01） in the hypothalamus and liver. Compared with the model group， all the three modified Ditan tang groups showed lowered levels of TG， TC， LDL-C， ALT， and AST （P<0.05， P<0.01） and an elevated level of HDL-C （P<0.05） in the serum， and lowered levels of TG and NEFA （P<0.05， P<0.01） in the liver. Furthermore， the three groups showed alleviated pyknosis and deep staining of hypothalamic neuron cells， reduced lipid deposition in the liver， down-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.05， P<0.01）， and up-regulated mRNA and protein levels of Cry1 and PER2 （P<0.05， P<0.01） in the hypothalamus and liver. ConclusionModified Ditan tang can reduce lipid deposition in the liver and regulate the expression of CLOCK， BMAL1， Cry1， and PER2 in the TTFL of NAFLD rats.

In recent years,micro photoionization detectors(μPID),with their rapid response speed and excellent sensitivity,have attracted widespread attention in both scientific research and industry.This study developed a portable gas chromatograph based on μPID technology(GC-μPID),and examined its key performance characteristics such as reproducibility,sensitivity,and online analytical capability.The results showed that the method's relative standard deviation(RSD)was controlled within 2.7%,demonstrating good reproducibility;for the standard curves of 27 kinds of volatile organic compounds(VOCs),the linearity was excellent(R2≥0.99),with detection limits of≤10 μg/m3 and benzene series compounds reaching detection limits as low as 0.5 μg/m3.In field applications at an industrial park,this method successfully identified and quantified 17 kinds of VOCs,accurately capturing their diurnal concentration variations.The results above validated that the method developed here had the capability of onsite real-time monitoring and provided an effective tool for in situ monitoring atmospheric pollutants.

Objective:To explore the diagnosis and treatment strategy of emphysematous pyelonephritis (EPN).Methods:The clinical data of 11 cases patients with EPN admitted to 3 hospitals from March 2016 to June 2022 were retrospectively analyzed, among them, 4 cases from Qianhai Shekou Free Trade Zone Hospital, 5 cases from the Second Hospital Affiliated to Kunming Medical University, 2 cases from the Second Affiliated Hospital of Hubei University of Scinece and Technology. Among the 11 patients, 2 were males and 9 were females, aged 50-82 years; the lesions were located on the left side in 6 cases, right side in 4 cases and bilateral in 1 case; all patients had type 2 diabetes and poor glycemic control. The clinical manifestations at admission including back pain in 8 cases, fever in 11 cases, nausea and vomiting in 5 cases, disturbance of consciousness in 3 cases, septic shock in 3 cases, accompanied with ureteral or kidney stones in 5 cases. The pathogenic bacteria were Escherichia coli in 8 cases, Klebsiella pneumoniae in 2 cases and Proteus mirabilis in 1 case. All patients received minimally invasive surgery, anti-infection, subcutaneous injection of insulin, fluid rehydration and nutritional support after admission. 2 cases had a combination of an initial ureteral stenting and second stage percutaneous drainage, 3 patients underwent ureteral stent implantation, 6 patients underwent percutaneous drainage. According to the CT classification of EPN, there were 1 case of type Ⅰ, 3 cases of type Ⅱ, 2 cases of type ⅢA, 4 cases of type ⅢB, and 1 case of type Ⅳ. Results:All 11 cases were cured, 4 cases were admitted to intensive care unit for 2-7 days, 1 case underwent nephrectomy during hospitalization, and 1 case underwent nephrectomy due to renal atrophy during follow-up. After 12 to 18 months of follow-up with urinary CT or B-ultrasound, there were no recurrence cases.Conclusions:EPN is a rare and serious renal parenchymal necrotic infection. Early urinary CT examination is necessary for the diagnosis, and positive minimally invasive surgery combined with comprehensive medical treatment is the preferred treatment strategy. If those above treatment does not work, nephrectomy should be performed.

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Objective To analyze the serum of patients with pancreatic cancer by fourier transform infrared spectroscopy(FTIR),explore the characteristic spectral parameters related to pancreatic cancer,and evaluate its potential clinical diagnostic value.Methods Serum samples were collected from 100 patients diagnosed with pancreatic cancer and 92 healthy volunteers at Chongming Hospital Affiliated to Shanghai Health Medical College from August 2022 to July 2023.These samples underwent FTIR and principal component analysis(PCA)to assess spectral differences between the two cohorts.The diagnostic potential of the serum spectra in distinguishing pancreatic cancer patients from healthy individuals was further evaluated using machine learning techniques,specifically support vector machine(SVM),k-nearest neighbor(kNN),and linear discriminant analysis(LDA)as classification methods.The diagnostic efficacy across various thresholds was evaluated using the receiver operating characteristic(ROC)curve.Results The findings indicate that the peak positions within the 1 090～1 070cm-1(1 076.537±15.183cm-1 vs 1 081.061±4.043cm-1),1 420～1 380 cm-1(1 399.958±1.508cm-1 vs 1 400.500±1.782cm-1),2 990～2 950cm-1(2 940.167±15.287cm-1 vs 2 945.124±7.498cm-1)and 3 500～3 000 cm-1(3 293.155±3.096cm-1 vs 3 294.893±2.582cm-1)range in the serum of individuals with pancreatic cancer exhibited a significant blue-shift compared to the healthy group and was statistically significant(t=2.265～4.236,all P<0.05),suggesting alterations in the structures of proteins,lipids and nucleic acids.Furthermore,a statistically significant disparity in peak absorption was observed between the group of patients with pancreatic cancer and the healthy group within the spectral ranges of 1 700～1 600cm-1(0.918±0.012cm-1 vs 0.858±0.021cm-1)and 3 500～3 000 cm-1(0.766±0.096cm-1 vs 0.804±0.090cm-1)(t=-24.031,2.830,all P<0.05),indicating that the protein concentration changes.PCA results showed that the PC2 axis was clearly separated,which could distinguish serum samples from patients with pancreatic cancer.Utilizing a machine learning model to differentiate the serum spectra of patients with pancreatic cancer from those of healthy controls,the sensitivity,the spesitivity,the specificity and accuracy of linear discriminant analysis(LDA)classification method were 93.2%,97.3%and 95.8%,respectively.The area under curve(AUC)as determined by ROC analysis was 0.982.Conclusion Serum spectroscopy using FTIR combined with PCA and machine learning model can be a simple,minimally invasive and reliable diagnostic test for pancreatic cancer detection.

Objective:To quantitatively evaluate the policy texts on mutual recognition of examination and inspection results at the national and local levels in China from 2006 to 2025 based on the PMC index model,and provide reference for policy formulation and improvement.Methods:The ROSTCM6 software was used to sort out and conduct text mining on 27 policy documents issued at the national and local levels,establishing the PMC index model for the mutual recognition of examination and inspection results in China.Quantitative analysis was conducted through a PMC evaluation system consisting of 9 first-level variables and 39 second-level variables.Results:The average PMC index was 6.06(excellent level).Among the 27 policies,4 were rated as perfect,18 as excellent,and 5 as acceptable.Conclusions:Current policies need to strengthen the formulation of scientific and feasible goals,improve legal guarantees and medical insurance coordination mechanisms,and build a complete data security maintenance system to provide policy support and guarantees for the continuous advancement of the mutual recognition of examination and inspection results.

Objective To compare the clinical efficacy and safety of 1 470 nm laser en bloc resection of bladder tumor(1 470 nm-EBRBT)and transurethral resection of bladder tumor(TUR-BT).Methods Clinical data of 85 non-muscle-invasive bladder cancer(NMIBC)patients from June 2018 to June 2021 were analyzed retrospectively.The patients were divided into 1 470 nm-EBRBT group(n=40)and TUR-BT group(n=45)according to different surgical methods,the postoperative chemotherapy regimen of bladder perfusion was the same in both groups.The surgical safety,clinical efficacy,pathological results and recurrence free survival rate of two groups were recorded.Results There were no statistically significant differences in operation time,incidence of bladder perforation,and incidence of postoperative delayed hemorrhage between the two groups(P＞0.05).Compared with the TUR-BT group,the 1 470 nm-EBRBT group had less blood loss,shorter bladder irrigation time,catheter indwelling time and postoperative hospital time,and no obturator nerve reflex,the differences were statistically significant(P＜0.05).The proportion of detrusor in the first resected pathological specimens in 1 470 nm-EBRBT group was higher than that in TUR-BT group(P＜0.05).There were no statistically significant differences in tumor recurrence rate of one year,tumor cumulative recurrence rate of two years and recurrence free survival time between the two groups(P＞0.05).Conclusion Compared with traditional TUR-BT,1 470 nm-EBRBT is a safe and effective method,which has the advantages of complete pathological specimens,fewer complications,faster recovery and so on.Therefore,it is worthy of clinical application.