[Abstract] Blood transfusion is a common therapeutic measure with indispensable role in clinical medicine. However, there is a risk of transmitting diseases during blood transfusion, such as human immunodeficiency virus (HIV), hepatitis B virus (HBV), hepatitis C virus (HCV), etc. To reduce these risks and ensure blood transfusion safety, detection of disease markers in blood transfusion is particularly important. Biological sensing technology, with its advantages of high sensitivity, rapid response and portability, has broad application prospects in the detection of disease markers in blood transfusion. However, the biological sensing strategies for detection of disease markers in blood transfusion have not yet been systematically classified or fully discussed. Therefore, this paper first elucidates the common disease markers in blood transfusion and their importance. Then, it focuses on the application of biological sensors in the detection of disease markers in blood transfusion and discusses the challenges faced and the direction of future development in this field.

Objective:To assess the prevalence of dentinal hypersensitivity (DH) and related factors in urban adults in China.Methods:The study was designed as an observational, cross-sectional epidemiological study carried out in adults aged 18-69 years old in seven cities (Beijing, Shanghai, Wuhan, Chengdu, Xi′an, Guangzhou, and Harbin) of China. The study was conducted from March 2021 to May 2023. Patients were required to complete a questionnaire regarding the subjects′ socio-economic factors, dietary behavior, oral health behavior and personal antecedent factors. DH was clinically diagnosed by judging whether the tooth cold air stimulation provoked DH or not, and recorded by investigator pain rating Schiff score. Compare the findings of six cities (Harbin excluded) with a similar study conducted in 2008.Results:In total, 11 622 subjects from seven cities in China participated the study. Fifty two point two percent (6 072/11 622) of subjects reported DH in questionnaire, 36.7% (4 266/11 622) of subjects reported experiencing DH in response to cold air stimulation for at least one study tooth. Risk factors including age, sex, city, toothbrush method and acid reflux showed marked associations with DH ( P<0.05). The prevalence of DH of urban residents in six cities (Harbin excluded) was 33.7% (3 335/9 882), higher than that in 2008 [29.7%(2 354/7 939)]. Conclusions:Overall, DH was common among urban adults in China and the prevalence increased in recent years. Better understanding of DH and its associated factors should be considered in its prevention and management by dental professionals.

Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.

Background::Pancreatic ductal adenocarcinoma (PDAC) is one of the main types of malignant tumor of the digestive system, and patient prognosis is affected by difficulties in early diagnosis, poor treatment response, and a high postoperative recurrence rate. Carbohydrate antigen 19-9 (CA19-9) has been widely used as a biomarker for the diagnosis and postoperative follow-up of PDAC patients. Nevertheless, the production mechanism and potential role of CA19-9 in PDAC progression have not yet been elucidated.Methods::We performed single-cell RNA sequencing on six samples pathologically diagnosed as PDAC (three CA19-9-positive and three CA19-9-negative PDAC samples) and two paracarcinoma samples. We also downloaded and integrated PDAC samples (each from three CA19-9-positive and CA19-9-negative patients) from an online database. The dynamics of the proportion and potential function of each cell type were verified through immunofluorescence. Moreover, we built an in vitro coculture cellular model to confirm the potential function of CA19-9. Results::Three subtypes of cancer cells with a high ability to produce CA19-9 were identified by the markers TOP2A, AQP5, and MUC5AC. CA19-9 production bypass was discovered on antigen-presenting cancer-associated fibroblasts (apCAFs). Importantly, the proportion of immature ficolin-1 positive (FCN1+) macrophages was high in the CA19-9-negative group, and the proportion of mature M2-like macrophages was high in the CA19-9-positive group. High proportions of these two macrophage subtypes were associated with an unfavourable clinical prognosis. Further experiments indicated that CA19-9 could facilitate the transformation of M0 macrophages into M2 macrophages in the tumor microenvironment. Conclusions::Our study described CA19-9 production at single-cell resolution and the dynamics of the immune atlas in CA19-9-positive and CA19-9-negative PDAC. CA19-9 could promote M2 polarization of macrophage in the pancreatic tumor microenvironment.

Objective:To detect gene mutations in 1 patient with Vohwinkel syndrome who presented with palmoplantar keratoderma, pseudo-ainhum and deafness.Methods:Clinical data were collected from the proband, and a genetic test was performed to identify mutation sites.Results:Clinical manifestations of the proband were consistent with classical Vohwinkel syndrome. The genetic test revealed a heterozygous mutation c.160A>C (p.N54H) in the GJB2 gene, which was not detected in her parents or healthy controls.Conclusion:The heterozygous mutation c.160A>C (p.N54H) in the GJB2 gene was first identified in a patient with classical Vohwinkel syndrome, and there were overlaps in mutation sites between classical Vohwinkel syndrome and palmoplantar keratoderma with deafness.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.

Objective:To explore the value of pre-ablation stimulated thyroglobulin (psTg) before 131I treatment combined with lymph node ratio (LNR) in predicting 131I treatment response in patients with papillary thyroid cancer (PTC). Methods:From January 2016 to December 2018, 178 PTC patients (47 males, 131 females; age (43.2±12.6) years) treated with 131I in the Affiliated Cancer Hospital of Zhengzhou University were retrospectively analyzed. According to 131I treatment response, patients were divided into excellent response (ER) group and non-ER group. The clinical data of the two groups were compared by χ2 test, independent-sample t test and Mann-Whitney U test. The cut-off values and AUCs of psTg and LNR to predict treatment response were calculated according to the ROC curve. Factors affecting 131I treatment response were analyzed by logistic multivariate regression analysis. Results:There were 118 patients (66.3%, 118/178) in ER group and 60 patients (33.7%, 60/178) in non-ER group, and there were significant differences in N stage ( χ2=11.15, P=0.004), 131I treatment dose ( χ2=12.65, P<0.001), American Thyroid Association (ATA) initial risk stratification ( χ2=15.25, P<0.001), number of metastatic lymph nodes ( χ2=22.63, P<0.001), LNR ( U=1 506.00, P<0.001) and psTg ( U=919.00, P<0.001) between the two groups. The cut-off values of psTg and LNR predicting ER were 3.97 μg/L and 0.29, with the AUC of 0.870 and 0.787 respectively. PsTg (odds ratio ( OR)=10.88, 95% CI: 4.67-25.36, P<0.001) and LNR ( OR=5.30, 95% CI: 1.85-15.23, P=0.002) were independent factors to predict 131I treatment response in PTC patients. When psTg≥3.97 μg/L, LNR ( OR=9.40, 95% CI: 2.06-42.92, P=0.004) was an independent factor affecting 131I treatment response in PTC patients. Conclusions:PsTg and LNR are independent factors affecting 131I treatment response in PTC patients. When psTg≥3.97 μg/L, LNR can be used as a supplementary factor to predict 131I treatment response. The combination of psTg and LNR can better predict 131I treatment response in PTC patients.

The United States is the country with the most pilot practices in value-based healthcare payment reform, and value-based purchasing (VBP) is one of its pilot projects. The authors introduced the basic situation and implementation effects of the pilot projects of VBP payment reform in the United States from the hospital and physician levels respectively, and analyzed the causes for their unsatisfactory implementation effects. Then, the authors proposed its enlightenments for China from such aspects as the construction of value-based medical payment index system, implementation of value-based medical payment reform, and management costs, to provide reference for the construction of high-quality value-based medical service system in China.

The pilot project for alternative payment models was originated from the implementation of the 2010 Affordable Care Act in the United States, which aimed to establish a new payment mode to replace the traditional payment based on service fees, thereby achieving the goals of ensuring healthcare quality, reducing healthcare costs, and improving healthcare equity. The pilot projects of alternative payment models included two types: accountable care organizations and bundled payments for care improvement. The authors introduced their profile and implementation effects, analyzed the causes of the current implementation effects, and then proposed enlightenments for the value-based medical payment reform in China, with the aim of providing reference for the construction of a high-quality value based medical service system in China.

ObjectiveTo analyze the distribution of traditional Chinese medicine （TCM） patterns as well as factors related to acute exacerbation in group E of chronic obstructive pulmonary disease （COPD）. MethodsThe general data of 161 COPD patients， including gender， age， body mass index （BMI）， disease course， smoking history， and past history， were collected. In terms of the four examinations of TCM， the differentiated patterns included phlegm-heat obstructing the lung， turbid phlegm obstructing the lung， phlegm stasis obstructing the lung， lung-spleen qi deficiency， and lung-kidney deficiency. The modified British Medical Research Council （mMRC） scale and COPD assessment test （CAT）， the pulmonary function indicators including forced expiratory volume in the first second （FEV1） and ratio of forced expiratory volume to forced vital capacity at second 1 （FEV1/FVC）， GOLD grade， and the patient's acute exacerbations in the previous year were recorded. Multivariate regression analysis was performed using logistic regression model to determine the relevant factors of patients in COPD group E. The distribution of acute exacerbations in different TCM symptom patients in group E was analyzed. ResultsThere were 80 patients （49.69%） in group E and 81 patients （50.31%） in non-group E. In group E， 23 （28.75%） patients had a history of two acute exacerbations， while 35 （43.75%） had three acute exacerbations， and 22 （27.5%） had more than three acute exacerbations. There were 13 （16.25%） cases of phlegm-heat obstructing the lung pattern， 6 （7.5%） cases of turbid phlegm obstructing the lung pattern， 8 （10%） cases of phlegm stasis obstructing the lung pattern， 22 cases （27.5%） of lung-spleen qi deficiency pattern， and 31 （38.75%） cases of lung-kidney deficiency pattern. There were significant differences in smoking history， disease course， TCM pattern， TCM syndrome score， mMRC score， and CAT score between groups （P＜0.05）. A total of 107 of the 161 patients completed pulmonary function tests， and the differences in FEV1， FEV1/FVC and GOLD grades between groups were statistically significant （P＜0.05）. Multivariate regression analysis showed that TCM pattern， TCM syndrome score and CAT score were statistically significant factors for COPD patients in group E （P＜0.05）. There were statistically significant differences in the number of acute exacerbations in different TCM patterns in group E （P＜0.05）. The patients with two acute exacerbations in the past year were mainly phlegm-heat obstructing the lung and lung-spleen qi deficiency patterns， while the three acute exacerbations were mainly seen in lung-spleen qi deficiency and lung-kidney deficiency patterns， and more than three exacerbations were more common with lung -kidney deficiency pattern. ConclusionsPatients in COPD group E were mainly the lung-spleen qi deficiency and lung-kidney deficiency patterns. Deficiency of healthy qi is the main reason for the increase in the number of acute exacerbations， and TCM patterns and CAT score were the main related factors.