Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

With the increasing utilization of cancer therapy, the incidence of lung injury associated with these treatments continues to rise. The recognition of pulmonary toxicity related to cancer therapy has become increasingly critical, for which interstitial lung disease (ILD) is a common cause of mortality. Cancer therapy-related ILD (CT-ILD) can result from a variety of treatments including chemotherapy, targeted therapy, immune checkpoint inhibitors, antibody-drug conjugates, and radiotherapy. CT-ILD may progress rapidly and even be life-threatening; therefore, prompt diagnosis and timely treatment are crucial for effective management. This review aims to provide valuable information on the risk factors associated with CT-ILD; elucidate its underlying mechanisms; discuss its clinical features, imaging, and histological manifestations; and emphasize the clinical-related views of its diagnosis. In addition, this review provides an overview of grading, typing, and staging treatment strategies used for the management of CT-ILD.
Humans ; Lung Diseases, Interstitial/diagnosis* ; Neoplasms/therapy* ; Risk Factors ; Immune Checkpoint Inhibitors/adverse effects* ; Antineoplastic Agents/therapeutic use*

BACKGROUND: The role of inflammation in the development of gestational diabetes mellitus (GDM) has recently become a focus of research. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), novel indices, reflect the body's chronic immune-inflammatory state. This study aimed to investigate the associations between the SII or SIRI and GDM. METHODS: A prospective birth cohort study was conducted at Beijing Obstetrics and Gynecology Hospital from February 2018 to December 2020, recruiting participants in their first trimester of pregnancy. Baseline SII and SIRI values were derived from routine clinical blood results, calculated as follows: SII = neutrophil (Neut) count × platelet (PLT) count/lymphocyte (Lymph) count, SIRI = Neut count × monocyte (Mono) count/Lymph count, with participants being grouped by quartiles of their SII or SIRI values. Participants were followed up for GDM with a 75-g, 2-h oral glucose tolerance test (OGTT) at 24-28 weeks of gestation using the glucose thresholds of the International Association of Diabetes and Pregnancy Study Groups (IADPSG). Logistic regression was used to analyze the odds ratios (ORs) (95% confidence intervals [CIs]) for the the associations between SII, SIRI, and the risk of GDM. RESULTS: Among the 28,124 women included in the study, the average age was 31.8 ± 3.8 years, and 15.76% (4432/28,124) developed GDM. Higher SII and SIRI quartiles were correlated with increased GDM rates, with rates ranging from 12.26% (862/7031) in the lowest quartile to 20.10% (1413/7031) in the highest quartile for the SII ( Ptrend <0.001) and 11.92-19.31% for the SIRI ( Ptrend <0.001). The ORs (95% CIs) of the second, third, and fourth SII quartiles were 1.09 (0.98-1.21), 1.21 (1.09-1.34), and 1.39 (1.26-1.54), respectively. The SIRI findings paralleled the SII outcomes. For the second through fourth quartiles, the ORs (95% CIs) were 1.24 (1.12-1.38), 1.41 (1.27-1.57), and 1.64 (1.48-1.82), respectively. These associations were maintained in subgroup and sensitivity analyses. CONCLUSION The SII and SIRI are potential independent risk factors contributing to the onset of GDM.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/immunology* ; Prospective Studies ; Adult ; Inflammation/immunology* ; Glucose Tolerance Test ; Birth Cohort

Objective To explore the value of intensity ratio(IR)of lesion to non-tumor liver parenchyma on contrast-enhanced ultrasound(CEUS)Kupffer phase for differentiating hepatocellular carcinoma(HCC)and intrahepatic cholangiocarcinoma(IHC)/metastatic liver carcinoma.Methods Totally 54 patients with HCC(HCC group),30 with IHC and 51 with liver metastatic carcinoma(non-HCC group)diagnosed by pathology were retrospectively enrolled.Quantitative parameters derived from CEUS time-intensity curves,including peak intensity(PI),time to peak(TTP),wash-in area under the curve(WiAUC),wash-out area under the curve(WoAUC),wash-in and wash-out area under the curve(WiWoAUC)of lesion in vascular phase and IR of lesion to non-tumor liver parenchyma in Kupffer phase were compared between groups,and a combined diagnostic model was established based on parameters being significantly different between groups using binary logistic regression analysis.Receiver operating characteristic(ROC)curves were plotted,and the area under the curves(AUC)were calculated to evaluate the efficacy of each CEUS parameter alone and the combined model for differentiating HCC and IHC/liver metastatic carcinoma.Results In HCC group,PI,WoAUC and WiWoAUC were all higher(all P＜0.001),while IR was significantly lower than those in non-HCC group(P＜0.001).The AUC of PI,WoAUC,WiWoAUC and IR for differentiating HCC and IHC/metastatic liver carcinoma was 0.673,0.741,0.738 and 0.736,respectively,all lower than that of combined model(0.862,all P＜0.05).Conclusion IR of lesion to non-tumor liver parenchyma on CEUS Kupffer phase could be used to differentiate HCC and IHC/metastatic liver carcinoma.Combining with quantitative parameters on CEUS vascular phase could improve differentiating efficiency.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Objective To explore the value of intensity ratio(IR)of lesion to non-tumor liver parenchyma on contrast-enhanced ultrasound(CEUS)Kupffer phase for differentiating hepatocellular carcinoma(HCC)and intrahepatic cholangiocarcinoma(IHC)/metastatic liver carcinoma.Methods Totally 54 patients with HCC(HCC group),30 with IHC and 51 with liver metastatic carcinoma(non-HCC group)diagnosed by pathology were retrospectively enrolled.Quantitative parameters derived from CEUS time-intensity curves,including peak intensity(PI),time to peak(TTP),wash-in area under the curve(WiAUC),wash-out area under the curve(WoAUC),wash-in and wash-out area under the curve(WiWoAUC)of lesion in vascular phase and IR of lesion to non-tumor liver parenchyma in Kupffer phase were compared between groups,and a combined diagnostic model was established based on parameters being significantly different between groups using binary logistic regression analysis.Receiver operating characteristic(ROC)curves were plotted,and the area under the curves(AUC)were calculated to evaluate the efficacy of each CEUS parameter alone and the combined model for differentiating HCC and IHC/liver metastatic carcinoma.Results In HCC group,PI,WoAUC and WiWoAUC were all higher(all P＜0.001),while IR was significantly lower than those in non-HCC group(P＜0.001).The AUC of PI,WoAUC,WiWoAUC and IR for differentiating HCC and IHC/metastatic liver carcinoma was 0.673,0.741,0.738 and 0.736,respectively,all lower than that of combined model(0.862,all P＜0.05).Conclusion IR of lesion to non-tumor liver parenchyma on CEUS Kupffer phase could be used to differentiate HCC and IHC/metastatic liver carcinoma.Combining with quantitative parameters on CEUS vascular phase could improve differentiating efficiency.

Objective To investigate the characteristics of human papillomavirus (HPV) prevalence and genotype distribution of 18 535 cases in Yuncheng . Methods A sample of 18535 residents who underwent HPV testing in our hospital from August 2020 to September 2023 were enrolled, and HPV genotyping was done to all samples. Then the rate of HPV infection, age distribution, genotype distribution, and multiple infections were statistically analyzed. Results Of the 18,535 subjects included, a total of 4,639 tested positive for HPV, demonstrating a positive rate of 25.03%. The positive rate of HPV infection varied among different age groups (χ²=29.587, P<0.05), with higher rates found in <25 years old group (29.61%) and >60 years old group (25.89%). Overall, 23 genotypes, covering 5315 viruses, were detected. There were 5 low-risk genotypes with the highest percentage of HPV42 (9.29%), and there were 18 high-risk genotypes with HPV52, HPV58, HPV66 and HPV53, subtypes as the most frequent subtypes, accounting for 13.64%, 8.97%, 7.41% and 7.04%, respectively. The type of HPV infection was predominantly single infections, with an overall single infection rate of 21.62% (4008/18535), which accounted for 86.40% (4 008/4 639) of all positive cases, and a multiple genotype infections rate of 3.40% (631/18535). The 25-34 year old group accounted for the largest proportion of single infections (25.12%), while the <25 year old group accounted for the largest proportion of multiple genotype infections (30.74%). Conclusion The prevalence rate of HPV infection in Yuncheng is 25.03%, with a higher positive rate in the <25 years age group and the >60 years age group. A total of 23 HPV genotypes are detected, of which the main genotypes are HPV42, HPV58, HPV66 and HPV53, and the type of infection is dominated by single infections.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Shenfu Injection(SFI) is praised for the high efficacy in the treatment of septic shock. However, the precise role of SFI in the treatment of sepsis-associated lung injury is not fully understood. This study investigated the protective effect of SFI on sepsis-associated lung injury by a clinical trial and an animal experiment focusing on the hypoxia-inducing factor-1α(HIF-1α)-mediated mitochondrial autophagy. For the clinical trial, 70 patients with sepsis-associated lung injury treated in the emergency intensive care unit of the First Affiliated Hospital of Zhengzhou University were included. The levels of interleukin(IL)-6 and tumor necrosis factor(TNF)-α were measured on days 1 and 5 for every patient. Real-time quantitative polymerase chain reaction(RT-qPCR) was performed to determine the mRNA level of hypoxia inducible factor-1α(HIF-1α) in the peripheral blood mononuclear cells(PBMCs). For the animal experiment, 32 SPF-grade male C57BL/6J mice(5-6 weeks old) were randomized into 4 groups: sham group(n=6), SFI+sham group(n=10), SFI+cecal ligation and puncture(CLP) group(n=10), and CLP group(n=6). The body weight, body temperature, wet/dry weight(W/D) ratio of the lung tissue, and the pathological injury score of the lung tissue were recorded for each mouse. RT-qPCR and Western blot were conducted to determine the expression of HIF-1α, mitochondrial DNA(mt-DNA), and autophagy-related proteins in the lung tissue. The results of the clinical trial revealed that the SFI group had lowered levels of inflammatory markers in the blood and alveolar lavage fluid and elevated level of HIF-1α in the PBMCs. The mice in the SFI group showed recovered body temperature and body weight. lowered TNF-α level in the serum, and decreased W/D ratio of the lung tissue. SFI reduced the inflammatory exudation and improved the alveolar integrity in the lung tissue. Moreover, SFI down-regulated the mtDNA expression and up-regulated the protein levels of mitochondrial transcription factor A(mt-TFA), cytochrome c oxidase Ⅳ(COXⅣ), HIF-1α, and autophagy-related proteins in the lung tissue of the model mice. The findings confirmed that SFI could promote mitophagy to improve mitochondrial function by regulating the expression of HIF-1α.
Humans ; Male ; Mice ; Animals ; Leukocytes, Mononuclear ; Mice, Inbred C57BL ; Lung/metabolism* ; Acute Lung Injury/drug therapy* ; Tumor Necrosis Factor-alpha/genetics* ; Sepsis/genetics* ; Hypoxia/pathology* ; Autophagy-Related Proteins ; Body Weight ; Drugs, Chinese Herbal