Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To establish a high-performance liquid chromatography(HPLC)method for the determina-tion of related substances in buprenorphine active pharmaceutical ingredient(API)using advanced ACD/Auto-Chrom method development software for comprehensive parameter simulation and design.Methods:An Agilent ZORBAX Eclipse Plus C18 column(4.6 mm × 150 mm,3.5 μm)was used with a mobile phase consisting of 40 mmol·L-1 potassium dihydrogen phosphate solution and acetonitrile in a gradient elution mode.The flow rate was set at 1.3 mL·min-1,the column temperature was maintained at 35 ℃,the detection wavelength was 240 nm,and the injection volume was 5 μL.Results:The impurities A,B,D,E,F,G,H,I,and J in buprenorphine were effectively separated from the main component.The linear ranges were 0.33-83.73,0.20-78.74,0.20-40.28,0.22-43.31,0.32-78.98,0.13-63.74,0.51-101.54,0.22-43.72,and 0.40-80.37 μg·mL-1,respectively.The limits of detection(LOD)were 0.10,0.06,0.06,0.06,0.09,0.04,0.15,0.07,and 0.12 μg·mL-1,respectively,while the limits of quantification(LOQ)were 0.33,0.20,0.20,0.22,0.32,0.13,0.51,0.22,and 0.40 μg·mL-1,respectively.The accuracy,precision,and robustness of the method met the required standards.Conclusion:This method is suitable for the determi-nation and quality control of related substances such as impurities A,B,D,E,F,G,H,I,and J in buprenorphine API.

Objective:To establish a high-performance liquid chromatography(HPLC)method for the determina-tion of related substances in buprenorphine active pharmaceutical ingredient(API)using advanced ACD/Auto-Chrom method development software for comprehensive parameter simulation and design.Methods:An Agilent ZORBAX Eclipse Plus C18 column(4.6 mm × 150 mm,3.5 μm)was used with a mobile phase consisting of 40 mmol·L-1 potassium dihydrogen phosphate solution and acetonitrile in a gradient elution mode.The flow rate was set at 1.3 mL·min-1,the column temperature was maintained at 35 ℃,the detection wavelength was 240 nm,and the injection volume was 5 μL.Results:The impurities A,B,D,E,F,G,H,I,and J in buprenorphine were effectively separated from the main component.The linear ranges were 0.33-83.73,0.20-78.74,0.20-40.28,0.22-43.31,0.32-78.98,0.13-63.74,0.51-101.54,0.22-43.72,and 0.40-80.37 μg·mL-1,respectively.The limits of detection(LOD)were 0.10,0.06,0.06,0.06,0.09,0.04,0.15,0.07,and 0.12 μg·mL-1,respectively,while the limits of quantification(LOQ)were 0.33,0.20,0.20,0.22,0.32,0.13,0.51,0.22,and 0.40 μg·mL-1,respectively.The accuracy,precision,and robustness of the method met the required standards.Conclusion:This method is suitable for the determi-nation and quality control of related substances such as impurities A,B,D,E,F,G,H,I,and J in buprenorphine API.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

There are various etiologies for extrahepatic bile duct stenosis， and pharmacotherapy and endoscopic intervention can achieve a good clinical effect in benign stenosis. Early diagnosis and timely surgical treatment of malignant stenosis may prolong the survival time of patients. However， there are still difficulties in the differential diagnosis of malignant bile duct stenosis. This article reviews the application of serology， radiology， endoscopic techniques， and artificial intelligence in the differential diagnosis of malignant bile duct stenosis， so as to provide strategies and references for formulating clinical diagnosis and treatment regimens.

Objective To analyze the survival status of inpatients with cervical cancer registered in Nantong admitted in Nantong Cancer Hospital from 2002 to 2017. Methods Inpatients with cervical cancer in Nantong Cancer Hospital were followed up from 2017 until December 31, 2020 using active and passive methods to determine their survival outcome. The rate of follow-up loss was statistically analyzed by Chi-square test, the observed survival rate for each year was calculated using the life table, the survival curve was drawn with R language, and the survival rates of patients in different age groups and from different regions were compared with log-rank test (Mantel-Cox). Results A total of 5645 cervical cancer cases were registered. Among them, the survival outcome was recorded for 5512 cases. The success rate of follow-up was 97.64%, and the loss of follow-up rate was 2.36%. The average age of onset was 56.67±12.78 years. The median survival time was 6.54 years, and the 1-, 3-, 5-, and 10-year observed survival rates were 91.50%, 76.95%, 60.99%, and 28.51%, respectively. Among the age groups, significant differences in survival rate were observed between the 15- and 60-year-old groups (χ²=7.469, P=0.006) and between the 15- and 80-year-old groups (χ²=36.317, P < 0.001). No significant difference in survival rate was found between patients from Haimen and Qidong (χ²=2.779, P=0.095) and between patients from Qidong and Tongzhou (χ²=0.515, P=0.473). Significant difference in survival rate was observed among other regions (P < 0.05). Conclusion In this study group, the survival rates of hospital-based patients with cervical cancer significantly differ among the age groups and regions of origin and significantly decreased with age. The high follow-up rate fully reflects the comprehensive effect of the treatment in Nantong Cancer Hospital for registered patients with cervical cancer in Nantong.

Objective To investigate the correlation of human epididymis protein 4(HE4)with proteinuria in patients with type 2 diabetes mellitus(T2DM).Methods A total of 147 T2DM patients from January 2020 to July 2023 in Jiujiang NO.l People's Hospital were enrolled in observation group.According to the severity of proteinuria,observation group was divided into three groups:Normal albuminuria group(101 cases),microalbuminuria group(25 cases),and massive albuminuria group(21 cases).50 healthy examinees with gender and age matching during the same period were selected as control group.HE4 levels and clinical indicators in each group were compared and analyzed.Correlation between HE4 and proteinuria was analyzed by using univariate and multivariate linear regression.Results The correlation network diagram reveals that HE4 functions was a pivotal node linking serum albumin,urinary microalbumin,urinary microalbumin-to-creatinine ratio(UACR),and renal function biomarkers.Compared to control group,HE4 levels significantly elevated in observation group(P＜0.01).Both univariate and multivariate linear regression analysis demonstrate a positive correlation between HE4 and UACR.Logistic regression analysis shew that after adjusting for confounding factors including age,gender,estimated glomerular filtration rate(eGFR),albumin(ALB),blood urea nitrogen(BUN),serum creatinine(SCr),uric acid(UA),lactate dehydrogenase(LDH)etc.elevated HE4 levels was a risk factor for proteinuria(OR=1.110,95％CI:1.005-1.226).Conclusion Elevated HE4 levels in patients with T2DM is positivly correlated with UACR.Increase its level increases the risk of proteinuria in T2DM patients.

Objective To explore the mechanism of electroacupuncture pretreatment(EP)for relieving post-stroke spasticity in rats.Methods Eighteen rats were randomized equally into sham-operated group,middle cerebral artery occlusion(MCAO)group,and MCAO+EP group.In MCAO+EP group,the rats received electroacupuncture at the acupoints Qubin and Baihui for 3 consecutive days prior to MCAO.Neurological deficits and cognitive function of the rats were evaluated,and pathologies in the hippocampus were examined using HE,Nissl,and TUNEL staining.The expressions of IL-4,IL-6,TNF-α,and TMAO in the brain tissues were detected with ELISA,and the mRNA and protein expression levels of NF-κB p65,NLRP3,caspase-3,and caspase-9 were determined with qRT-PCR,Western blotting,and immunohistochemistry.Results The rats receiving MCAO had significantly increased neurological deficit scores and showed increased muscle tension,number of apoptotic neurons,and expressions of IL-6,TNF-α,NF-κB p65,NLRP3,caspase-3 and caspase-9 in the hippocampus and significantly reduced length of time for new object recognition.Microscopically,the cells in the hippocampus of the MCAO rats showed uneven and loosened arrangement and unclear cell boundaries.In contrast,the rats in I/R+EP group showed significantly lowered neurological deficit scores and dystonia rating scores,reduced cell apoptosis,lowered hippocampal expressions of IL-6,TNF-α,caspase-3,caspase-9,and NF-κB p65,increased time for new object recognition,tightly arranged and uniformly stained hippocampal cells with clear boundaries,with also an increased number of active neurons and enhanced expression of IL-4 in the hippocampus.Conclusion EP alleviates post-stroke spasticity in rats by inhibiting inflammatory responses and hippocampal neuronal apoptosis mediated by the NF-κB/NLRP3 signaling pathway.

Objective To explore the mechanism of electroacupuncture pretreatment(EP)for relieving post-stroke spasticity in rats.Methods Eighteen rats were randomized equally into sham-operated group,middle cerebral artery occlusion(MCAO)group,and MCAO+EP group.In MCAO+EP group,the rats received electroacupuncture at the acupoints Qubin and Baihui for 3 consecutive days prior to MCAO.Neurological deficits and cognitive function of the rats were evaluated,and pathologies in the hippocampus were examined using HE,Nissl,and TUNEL staining.The expressions of IL-4,IL-6,TNF-α,and TMAO in the brain tissues were detected with ELISA,and the mRNA and protein expression levels of NF-κB p65,NLRP3,caspase-3,and caspase-9 were determined with qRT-PCR,Western blotting,and immunohistochemistry.Results The rats receiving MCAO had significantly increased neurological deficit scores and showed increased muscle tension,number of apoptotic neurons,and expressions of IL-6,TNF-α,NF-κB p65,NLRP3,caspase-3 and caspase-9 in the hippocampus and significantly reduced length of time for new object recognition.Microscopically,the cells in the hippocampus of the MCAO rats showed uneven and loosened arrangement and unclear cell boundaries.In contrast,the rats in I/R+EP group showed significantly lowered neurological deficit scores and dystonia rating scores,reduced cell apoptosis,lowered hippocampal expressions of IL-6,TNF-α,caspase-3,caspase-9,and NF-κB p65,increased time for new object recognition,tightly arranged and uniformly stained hippocampal cells with clear boundaries,with also an increased number of active neurons and enhanced expression of IL-4 in the hippocampus.Conclusion EP alleviates post-stroke spasticity in rats by inhibiting inflammatory responses and hippocampal neuronal apoptosis mediated by the NF-κB/NLRP3 signaling pathway.