This article discussed the evolution of the traditional preparation process of Pinelliae Rhizoma Fermentata.The production methods for Pinelliae Rhizoma Fermentata in Song Dynasty include cake-making of Pinelliae Rhizoma together with ginger juice and fermentation after cake-making,and the former method of cake-making was the mainstream.The process technology in Jin and Yuan Dynasties inherited from that in Song Dynasty,and the application of Pinelliae Rhizoma Fermentata had certain limitations.The medical practitioners of Ming Dynasty elucidated the mechanism of processing of Pinelliae Rhizoma Fermentata,and proposed the view of"sliced Pinelliae Rhizoma being potent while fermented Pinelliae Rhizoma being mild".In the Ming Dynasty,LI Shi-Zhen defined the cake-making process and fermentation process for Pinelliae Rhizoma,and HAN Mao's Han Shi Yi Tong(Han's Clear View of Medicine)contained five prescriptions for the processing of Pinelliae Rhizoma Fermentata,which had the epoch-making signficance in the expansion of prescriptions for the processing of Pinelliae Rhizoma Fermentata.In the Qing Dynasty,HAN Fei-Xia's ten methods for making Pinelliae Rhizoma Fermentata were summarized on the basis of the methods recorded in Han Shi Yi Tong,and at that time,the processing of Pinelliae Rhizoma Fermentata and the preparation of Massa Medicata Fermentata interacted with each other.After the founding of the People's Republic of China,the local experience in the preparation of Pinelliae Rhizoma Fermentata was deeply influenced by the methods in the Qing Dynasty,and the local preparation technical standards gradually became the same.Moreover,this article also explored the issues of the importance of"Pinelliae Rhizoma"and"ingredients for fermentation",the pre-treatment of Pinelliae Rhizoma,the distinction between cake-making process and fermentation process for Pinelliae Rhizoma,the amount of flour added as well as the timing of adding,the addition of Massa Medicata Fermentata powder,the role of Alum in Pinelliae Rhizoma Fermentata and so on.

Objective:To compare the reliability and validity of the Standard Swallowing Function Assessment Scale (SSA) with those of the GUSS Swallowing Function Assessment Screen (GUSS) in screening for and evaluating dysphagia among stroke survivors.Methods:Forty-seven stroke survivors had their swallowing function evaluated using the GUSS scale and the SSA scale. The results were compared with those of endoscopic swallowing function examinations.Results:Both scales delivered good reliability and validity. The SSA scale′s test-retest reliability had an ICC value=0.828 and an inter-evaluator reliability with an ICC value=0.909. Those were better than the GUSS scale′s values, but the latter had better intrinsic reliability (Cronbach′s α=0.939). Both scales showed good structural and calibration validity, with the sensitivity of the GUSS scale (72.73%) superior to that of the SSA scale, but the GUSS scales′ specificity, Jordan index and area under the operating characteristics curve were inferior to the SSA scale′s values. Combining the two scales in dysphagia screening could produce an area under the curve of 0.77.Conclusion:Both the SSA and GUSS scales have good reliability and validity in screening for swallowing disorders after a stroke. In clinical practice, the SSA alone or the two in series can improve diagnoses so as to prevent aspiration after a stroke.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Objective To investigate the safety and effectiveness of colon polypectomy in patients taking antithrombotic drugs.Methods Polyps treated with endoscopic polypectomy at the Department of Gastroenterology,Fu Wai Hospital,Chinese Academy of Medical Sciences,from August 2022 to August 2023 were retrospectively analyzed for the site of polyp,postoperative delayed hemorrhage,perforation,and the completeness of resection,specimen retrieval,and the occurrence of postoperative ischemic events.Results A total of 103 polyps were included in the study,which were divided into two groups according to whether the diameter of the polyp was＞10 mm(87 cases in the small polyp group vs 16 cases in the large polyp group),and there was no statistically significant difference between the two groups in terms of the site of the polyp,its morphology,the type of antithrombotic drug taken,the rate of curative resection,the rate of postoperative hemorrhagic events,and the incidence of postoperative ischemic events;the large polyp group chose more often to undergo EMR treatment(small polyp group vs.large polyp group,4.6％vs.45.5％,P=0.004);postoperative pathology was more adenomatous polyps in the large polyp group(small polyp group vs.large polyp group,77.0％vs.93.8％,P=0.027).Conclusion Endoscopic polypectomy can be used safely and effectively in patients taking antithrombotic drugs.

Objective:To investigate the effects of oral probiotics on intestinal microbiota and cognitive dysfunction in breast cancer chemotherapy patients. Methods:Thirty breast cancer patients who received anthracycline chemotherapy between December 2021 and June 2022 in the Department of Oncology, the First Affiliated Hospital of Bengbu Medical University were included in this study. The patients were randomly divided into the observation and control groups (15 cases per group). During chemotherapy, the observation group was additionally given oral probiotics. The fecal microbiota compositions before and after chemotherapy were detected using 16S rDNA sequencing. The changes in patients' subjective and objective cognitive function levels were evaluated by Montreal Cognitive Assessment (MoCA) and Functional Assessment of Cancer Therapy-Cognitive (FACT-Cog), respectively. Results:The microbiota diversity, as indicated by the Chao, Ace, Shannon and Simpson indices, showed no significant difference between two groups (P>0.05). As compared with the control group, the relative abundance of the genus Actinomyces in the feces was significantly higher than in the observation group (P<0.05). By contrast, the relative abundance of the genera Acetoanaerobium, Lachnospiracea_incertae_sedis, and unclassified_Frankineae bacteria was significantly lower in the observation group (P<0.05). The total scores of the objective and subjective cognitive function as well as the scores of each dimension in both groups were markedly decreased after chemotherapy (P<0.05). The scores in the observation group were higher than those in the control group after chemotherapy (P<0.05). During chemotherapy, the presence of the gastrointestinal adverse reactions (constipation, nausea and vomiting, diarrhea and abdominal distension) in the observation group were significantly lower than in control group (P<0.05). Conclusion:Oral probiotics could improve the cognitive impairment and reduce the presence of the gastrointestinal side effects in the breast cancer patients receiving chemotherapy, which may be caused by modulating the intestinal microbiota.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective To investigate the distribution of the traditional Chinese medicine(TCM)constitution types in the patients with nonspecific low back pain(NLBP)and to explore the correlation of the thickness of ligamentum flavum with the age,body mass index(BMI),gender,the presence of diabetes mellitus,and the grading of hypertension.Methods Sixty patients with NLBP admitted to Guangdong Second Traditional Chinese Medicine Hospital from January 2023 to June 2023 were selected as the study subjects.The TCM constitution types of the patients were identified,the thickness of the ligamentum flavum at lumbar vertebrae 4/5 segment(L4/5)disc level was measured by computerized tomography(CT)scanning,and the patients'age,genders,TCM constitution types,BMI,the presence or absence of diabetes mellitus,and hypertension grading were recorded.Correlation analysis and linear regression analysis were used for the exploration of the relevant influencing factors for the thickness of the ligamentum flavum of patients with NLBP.Results(1)The average thickness of ligamentum flavum in the 60 patients with NLBP was(2.60±0.72)mm.(2)The TCM constitutions of NLBP patients were classified into four types,of which blood stasis constitution was the most common,accounting for 21 cases(35.0%),followed by 19 cases(31.7%)of damp-heat constitution,12 cases(20.0%)of phlegm-damp constitution,and 8 cases(13.3%)of qi deficiency constitution.(3)The results of correlation analysis showed that BMI,gender,TCM constitution type and the presence or absence of diabetes mellitus had no influence on the thickness of ligamentum flavum in NLBP patients(P＞0.05),while the age and hypertension grading had an influence on the thickness of ligamentum flavum(P＜0.01).(4)The results of linear regression analysis showed that the age had an influence on the thickness of the ligamentum flavum(b = 0.034,t = 6.282,P＜0.01),while the influence of the hypertension grading had no influence on the thickness of the ligamentum flavum(P＞0.05).Conclusion The TCM constitution type of NLBP patients is predominated by blood stasis constitution,the thickness of ligamentum flavum is significantly affected by the age,and hypertension may be a potential factor affecting the thickness of ligamentum flavum.