Objective:To determine the contents of four flavonoids by establishing HPLC specific chromatogram for Alpiniae Katsumadai Semen; To evaluate the differences of Alpiniae Katsumadai Semen from different producing areas.Methods:The specific chromatogram was developed on a column of Thermo Acclaim C18 with acetonitrile-0.1% phosphoric acid solution as the mobile phase by gradient elution at a flow rate of 1.0 ml/min. The detective wavelength was 260 nm, and the column temperature was 30 ℃. Similarity evaluation, PCA analysis, and OPLS-DA analysis were conducted. The contents of Alpinetin, Pinocembrin, Cardamonin, Alnustone in 16 batches of Alpiniae Katsumadai Semen.Results:There were 9 characteristic peaks in the specific chromatogram of Alpiniae Katsumadai Semen. Except the sample of S2 (Hainan producing area), the similarity of Alpiniae Katsumadai Semen in different producing areas was greater than 0.90; PCA analysis divided 16 batches of Alpiniae Katsumadai Semen into 2 categories, and OPLS-DA analysis identified 4 differential biomarkers, with the order of impact being peak 3>peak 5>Alpinetin>Cardamonin. Among them, the quality of Alpiniae Katsumadai Semen from Guangdong producing area was generally stable. Moreover, there were significant differences in the contents of Alpinetin and Cardamonin among the indicator components of Alpiniae Katsumadai Semen from different producing areas.Conclusion:This method can effectively analyze the differences in the quality of Alpiniae Katsumadai Semen from different producing areas, providing reference for the quality evaluation of Alpiniae Katsumadai Semen.

Objective:To establish a quality control method for Aiye standard decoction.Methods:The ultra performance liquid chromatogrphy (UPLC) column Waters ACQUITY HSS T3 C18 (2.1 mm×150 mm,1.8 μm) was used to gradient elution by acetonitrile and 0.1% formic acid in water. 16 batches of Aiye standard decoction fingerprints were established by UPLC and the common peaks were determined in the fingerprints. The contents of 12 components were determined. The 16 batches of Aiye standard decoction were analyzed by similarity calculation, hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) for analysis of differential components of Artemisiae Argyi Folium from different origins.Results:A total of 13 common peaks were marked in the fingerprints of 16 batches of Aiye standard decoction, 12 of which were identified by comparison with reference substance, including chlorogenic acid, sochlorogenic acid A, neochlorogenic acid, cryptochlorogenic acid, caffeic acid,1,3-O-Dicaffeoylquinic acid, schaftoside, isochlorogenic acid B,1,5-O-Dicaffeoylquinic acid, isochlorogenic acid C, jaceosidin and eupatilin. Similarity evaluation, PCA and HCA all classified the 16 batches of Aiye standard decoction into 2 categories. Orthogonal partial least squares discriminant analysis screened 5 differential biomarkers from 13 common peaks. The content determination results showed that the phenolic compounds and flavonoids in samples from Hubei were significantly higher than that in samples from other areas.Conclusion:This method can effectively analyze the differences in the quality of Aiye standard decoction from different origins, and provide reference for the formulation of quality standards for Aiye standard decoction and related preparations.

Objective:To establish a method for the determination of triterpenes and nucleosides in Poria based on HPLC; To accurately determine the various bioactive components in Poria.Methods:Similarity evaluation, clustering analysis and principal component analysis were used to analyze the similarities and differences of different medicinal parts of Poria, and the key chromatographic peaks that could reflect the characteristics were found.Results:The Poricoic acid A and dehydroeburiconic acid could be used as the identification basis for Poriae Cutis and White Poria; at the same time, Polyporenic acid C, dehydropachymic acid and dehydrotrametenolic acid could be used to evaluate Rubra Poria and Poriae Cutis; uridine, guanosine and adenosine may be essential ingredients for evaluating the quality of White Poria, Poriae Cutis and Rubra Poria. In different medicinal parts of Poria, the triterpenes were showed significant differences; by contrary, there were little differences among the same medicinal parts.Conclusion:This study reveals the quality differences between different medicinal parts of Poria, which can provide a scientific basis for the rational application and pharmacodynamic standardization of Poria.

Objective:To summarize the risk prediction models for postoperative hypoxemia and provide a reference for clinical nursing practice and future research on hypoxemia risk prediction models for postoperative patients.Methods:A systematic literature search was conducted in CNKI, CBM, Wanfang, PubMed, Web of Science Core Collection, Cochrane Library, Embase, and CINAHL databases, covering publications up to January 31, 2024. Two researchers independently screened the literature, extracted data, performed integrative analysis, and evaluated the risk of bias in the included studies.Results:Seventeen studies were included, involving 17 different prediction models. The study populations were primarily adult patients, with hypoxemia incidence rates ranging from 2.40% to 49.30%. Modeling methods included Logistic regression and decision tree algorithms. The presentation formats of the models included risk scoring formulas, nomograms, decision tree diagrams, and web calculators. The five most frequently identified predictive factors were body mass index, age, comorbidities, duration of intraoperative cardiopulmonary bypass, and preoperative white blood cell count. Sixteen models reported the area under the receiver operating characteristic curve ranging from 0.667 to 0.916. All 17 studies exhibited varying degrees of bias risk.Conclusions:Existing risk prediction models for postoperative hypoxemia demonstrate good performance; however, the bias risk level of all studies was high. Future research should standardize the model development process according to bias risk assessment checklists to establish models with low bias risk and strong clinical applicability.

This article provides an overview of ecological momentary assessment based on mobile information devices. It reviews the design frameworks, domestic and international research progress, and the challenges associated with its application. The study aims to offer insights and reference methods for developing electronic ecological momentary assessment platforms in China.

Objective:To summarize the risk prediction models for postoperative hypoxemia and provide a reference for clinical nursing practice and future research on hypoxemia risk prediction models for postoperative patients.Methods:A systematic literature search was conducted in CNKI, CBM, Wanfang, PubMed, Web of Science Core Collection, Cochrane Library, Embase, and CINAHL databases, covering publications up to January 31, 2024. Two researchers independently screened the literature, extracted data, performed integrative analysis, and evaluated the risk of bias in the included studies.Results:Seventeen studies were included, involving 17 different prediction models. The study populations were primarily adult patients, with hypoxemia incidence rates ranging from 2.40% to 49.30%. Modeling methods included Logistic regression and decision tree algorithms. The presentation formats of the models included risk scoring formulas, nomograms, decision tree diagrams, and web calculators. The five most frequently identified predictive factors were body mass index, age, comorbidities, duration of intraoperative cardiopulmonary bypass, and preoperative white blood cell count. Sixteen models reported the area under the receiver operating characteristic curve ranging from 0.667 to 0.916. All 17 studies exhibited varying degrees of bias risk.Conclusions:Existing risk prediction models for postoperative hypoxemia demonstrate good performance; however, the bias risk level of all studies was high. Future research should standardize the model development process according to bias risk assessment checklists to establish models with low bias risk and strong clinical applicability.

This article provides an overview of ecological momentary assessment based on mobile information devices. It reviews the design frameworks, domestic and international research progress, and the challenges associated with its application. The study aims to offer insights and reference methods for developing electronic ecological momentary assessment platforms in China.

Objective:To summarize the best evidence for preventing and managing radiotherapy-induced oral mucositis in patients with head and neck cancer.Methods:The clinical decisions, best practices, guidelines, expert consensus, systematic reviews, and evidence summaries regarding the prevention and management of radiotherapy-induced oral mucositis in patients with head and neck cancer were retrieved from UpToDate, British Medical Journal (BMJ) Best Practice, Agency for Healthcare Research and Quality, Medlive, National Comprehensive Cancer Network, European Society for Medical Oncology, Cochrane Library, Joanna Briggs Institute (JBI) Evidence-Based Health Care Center Database, PubMed, Embase, Web of Science, China National Knowledge Infrastructure, WanFang Data, China Biology Medicine disc and so on. The search period was from database establishment to November 30, 2023.Results:A total of 18 articles were included, involving six guidelines, two expert consensus, eight systematic reviews, and two evidence summaries. Thirty-four best pieces of evidence were summarized from six aspects of assessment: drug prevention, non-drug prevention, anti-infection and analgesic management, health education, and multidisciplinary team management.Conclusions:This study summarizes the best evidence for preventing and managing radiotherapy-induced oral mucositis in patients with head and neck cancer. Medical and nursing staff should consider the patient's characteristics, disease condition, and willingness when selecting and applying evidence.

For many years,the perioperative treatment of esophageal cancer in China has been based on chemotherapy or chemoradiotherapy.However,in the recent years,with the emergence of immunotherapy represented by immune checkpoint inhibitors,multidisciplinary comprehensive treatment,precise treatment under the guidance of molecular pathology,and guided selection of different therapies under the guidance of different tumor load phenotypes(T/N load relative relationship),the traditional model of perioperative treatment of esophageal cancer is faced with challenges.Nonetheless,it has also provided new opportunities to re-examine the current perioperative treatment model of esophageal cancer,which will also help to promote the optimization of perioperative treatment strategies for esophageal cancer.Therefore,it is necessary to fully understand and further think about the current situation of perioperative treatment of esophageal cancer.

Objective:To establish the HPLC fingerprint of Bolbostemmatis Rhizoma standard decoction; To determine the three effective components with similar structure by quantitative analysis of multi-components by single marker (QAMS); To evaluate the quality of Bolbostemmatis Rhizoma standard decoction.Methods:HPLC was adopted to establish the fingerprints of 15 batches of Bolbostemmatis Rhizoma standard decoction. The Chromatographic column was Waters XBridge Phenyl (4.6 mm×250 mm, 5 μm). The mobile phase was acetonitrile-0.1% phosphoric acid solution with gradient elution. Cluster analysis (HCA) and principal component analysis (PCA) were conducted based on the relative peak area of common peaks. The same method as the fingerprint was used to establish QAMS of tubeimoside A, B, C on Bolbostemmatis Rhizoma standard decoction.Results:There were 14 common peaks in the fingerprint of Bolbostemmatis Rhizoma standard decoction. It was confirmed that the peak 3 was L-tryptophan, the peak 11 was tubeimoside B, the peak 12 was tubeimoside C, and the peak 13 was tubeimoside A. 15 batches of Bolbostemmatis Rhizoma standard decoction from different origins were divided into 3 categories by HCA and PCA. There was no significant difference between QAMS and the external standard method (ESM) through the system suitability inspection. Conclusion:This method is accurate, reliable and has good specificity, which can effectively evaluate the quality of Bolbostemmatis Rhizoma standard decoction.