Guided by the theory of "fire and original qi are restricted"， it is believed that original qi depletion is the root of the cutaneous immune-related adverse events （cirAEs） related to immune checkpoint inhibitors （ICIs）， and the yin fire exuberance is the branch. Among them， original qi depletion is the internal foundation of the disease， while the drug toxicity of ICIs harming original qi is the initiating factor， and exuberant yin fire is the key pathogenesis. In clinical practice， the general treatment principle advocates banking up original qi to consolidate the root and draining fire to raise yang. Buzhong Yiqi Decoction （补中益气汤） can be used to activate transportation of middle jiao （焦） and promote ascent and dispersion of clear yang， thereby restoring the balance of qi and fire， and medicinals such as Huangqin （Radix Scutellariae）， Huanglian （Rhizoma Coptidis） and Huangbai （Cortex Phellodendri Chinensis） can be supplementetd to clear and drain yin fire. At the same time， considering the accompanying symptoms such as dampness-stasis and fluids depletion， the methods of removing dampness and dispelling stasis， supplementing blood and nourishing yin should be added flexibly. This approach can provide a new perspective and treatment strategy for reducing ICIs-related cirAEs in malignant tumors.

Animals ; Callithrix ; Sex Factors ; Vocalization, Animal ; Sex Characteristics

The working principle and development of flexible semiconductor devices based on organic field effect transistor(OFET)technology were introduced.The current research status of OFET-based wearable flexible monitoring devices were reviewed,including biomechanical monitoring devices,tattoo biomonitoring devices and cellular detection devices and etc.The deficiencies of OFET-based wearable flexible monitoring devices were analyzed,and it's pointed out that miniaturization,personalization and diversification were the directions for the development of the future OFET-based wearable flexible moni-toring devices.[Chinese Medical Equipment Journal,2024,45(1):93-100]

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

In order to promote the development of hair transplantation, particularly the establishment of standards, the Hair Transplantation Expert Group of Plastic and Aesthetic National Medical Quality Control Center invited experts in the field of hair transplantation across China and formed a draft of the Expert Consensus on Standard Terminology for Hair Transplantation based on the collation of relevant literature and monographs. By combining Delphi methodology and consensus meetings, the expert group conducted several rounds of consultations on issues such as follicular unit anatomy, harvesting, dissection, and implantation, ultimately presenting 54 terminologies. This consensus considers the original Chinese and English meanings as well as the professional characteristics of terms used in hair transplantation, highlights the unique features and advantages of hair transplantation, and preserves its essence while promoting innovation, with the hope of providing valuable reference for clinical researchers engaged in hair transplantation both domestically and internationally, and better facilitating the standardization and advancement of the field.

Objective:To explore the clinical characteristics and risk factors of abnormal urinary albumin/creatinine ratio(UACR) in obese population.Methods:Baseline data from 2011 to 2012 in Henan Sub-center of"Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal(REACTION) study"were utilized and those of body mass index≥28 kg/m 2 were screened. The patients were divided into UACR normal group and UACR abnormal group(101 pairs) upon being matched on a 1∶1 basis by age and gender. Multivariate logistic regression analysis, receiver operating characteristic(ROC) curve, and restricted cubic spline(RCS)analysis were performed to explore the risk factors for abnormal UACR. Results:Compared with the normal UACR group, the UACR abnormal group had a higher number of alcohol consumers, a higher prevalence of hypertension, elevated systolic blood pressure, and triglyceride(all P<0.05). Multivariate logistic regression analysis showed that alcohol consumption( P=0.008), systolic blood pressure( P<0.001), triglyceride( P=0.049), and homeostasis model assessment for insulin resistance(HOMA-IR, P=0.033) were independent risk factors for abnormal UACR in obese people. The ROC curve analysis indicated that systolic blood pressure had the strongest diagnostic performance as a single factor(ROC curve area=0.801), and there was no significant difference in diagnostic performance compared to multiple factors combination. RCS analysis results showed that the probability of abnormal UACR increased monotonically with the increase of systolic blood pressure when the systolic blood pressure was between 130 and 158 mmHg(1 mmHg=0.133 kPa). When systolic blood pressure was not in the interval, the probability of abnormal UACR did not change significantly. The results of regression analysis of triglyceride subgroup showed that when triglyceride level was greater than or equal to 5.6 mmol/L, the risk of abnormal UACR level was significantly increased( P=0.029). Conclusion:Systolic blood pressure, triglyceride, HOMA-IR, and alcohol drinking history are independent risk factors for abnormal UACR in obese people. When systolic blood pressure is≥130 mmHg or triglyceride is≥5.6 mmol/L, the risk of abnormal UACR is significantly increased.

Objective:To perform adenovirus detection and genetic evolutionary analysis on specimens from a fever outbreak in Kunming city.Methods:Pharyngeal swabs from typical febrile patients were collected and tested for nucleic acids of 30 common respiratory pathogens using TaqMan Array Card technology. The full-length sequences of three important genes of adenovirus, Penton base, Hexon and Fiber, were amplified, sequenced and typed using Nanopore high-throughput sequencing. A phylogenetic tree was constructed. Molecular variations and genetic evolution of the three genes were analyzed.Results:Five specimens were collected and all of them tested positive for adenovirus and Haemophilus influenzae. The sequences of the full-length coding regions of the Penton base, Hexon and Fiber genes were obtained by Nanopore sequencing. The homology of the three gene sequences in the five specimens was 100.0%, 99.9%-100.0% and 100.0% in nucleotide sequences, and 100.0% in amino acid sequences. The three genes in the specimens had the highest homology with those of the reference strain of human adenovirus type 3 (HAdV3, accession number: AY599834) in nucleotide sequences, which was 98.6%, 98.7% and 98.9%, respectively. Results of the phylogenetic analysis of the three genes were basically consistent. These Kunming strains were clustered into an independent clade with the reference HAdV3 strain and had a distant relationship with the strains isolated in foreign countries and Taiwan, China in the early years. They were closely related to the domestic and foreign strains in recent years and highly homologous to the 2019 Japanese strain (accession: LC703523) and the Guangzhou strain (accession: MZ540961). Compared with the reference strain, these Kunming strains had five amino acid variations in Penton base, 10 in Hexon and 11 in Fiber. Conclusions:All of the adenovirus strains isolated in this outbreak belong to P3H3F3 type based on the full-length sequences of Penton base, Hexon and Fiber genes. They share high homology with the domestic and foreign HAdV3 strains, including the reference strain. Compared with the reference strain, several amino acid mutations are identified in these Kunming strains, and most of them are in the high variability region or functional regions. M7L in the Hexon protein is an unique amino acid mutation site of Kunming strains.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.