The epidemic and outbreaks of influenza B Victoria lineage (Bv) during 2019-2022 led to an analysis of genetic, epitopes, charged amino acids and Bv outbreaks. Based on the National Influenza Surveillance Network (NISN), the Bv 72 strains isolated during 2019-2022 were selected by spatio-temporal sampling, then were sequenced. Using the Compare Means, Correlate and Cluster, the outbreak data were analyzed, including the single nucleotide variant (SNV), amino acid (AA), epitope, evolutionary rate (ER), Shannon entropy value (SV), charged amino acid and outbreak. With the emergence of COVID-19, the non-pharmaceutical interventions (NPIs) made Less distant transmission and only Bv outbreak. The 2021-2022 strains in the HA genes were located in the same subset, but were distinct from the 2019-2020 strains (P < 0.001). The codon G → A transition in nucleotide was in the highest ratio but the transversion of C → A and T → A made the most significant contribution to the outbreaks, while the increase in amino acid mutations characterized by polar, acidic and basic signatures played a key role in the Bv epidemic in 2021-2022. Both ER and SV were positively correlated in HA genes (R = 0.690) and NA genes (R = 0.711), respectively, however, the number of mutations in the HA genes was 1.59 times higher than that of the NA gene (2.15/1.36) from the beginning of 2020 to 2022. The positively selective sites 174, 199, 214 and 563 in HA genes and the sites 73 and 384 in NA genes were evolutionarily selected in the 2021-2022 influenza outbreaks. Overall, the prevalent factors related to 2021-2022 influenza outbreaks included epidemic timing, Tv, Ts, Tv/Ts, P137 (B → P), P148 (B → P), P199 (P → A), P212 (P → A), P214 (H → P) and P563 (B → P). The preference of amino acid mutations for charge/pH could influence the epidemic/outbreak trends of infectious diseases. Here was a good model of the evolution of infectious disease pathogens. This study, on account of further exploration of virology, genetics, bioinformatics and outbreak information, might facilitate further understanding of their deep interaction mechanisms in the spread of infectious diseases.

Candida is a polyphyletic genus of asexually reproducing yeasts in the Saccharomycotina with more than 400 species that occur in almost all families of the subclass and its name is strongly connected with the infectious disease candidiasis. During the last two decades, approximately half of the Candida species have been reassigned into more than 36 already existing genera and 14 newly proposed genera, but the polyphyletic feature of the genus largely remained. Candida auris is an important, globally emerging opportunistic pathogen that has caused life-threatening outbreaks in healthcare facilities worldwide. This species belongs to the Candida auris-Candida haemuli (CAH) clade in the Metschnikowiaceae, a clade that contains multidrug-resistant clinically relevant species, but also species isolated from natural environments. The clade is phylogenetically positioned remotely from the type species of the genus Candida that is Candida vulgaris (currently interpreted as a synonym of Candida tropicalis) and belongs to the family Debaryomycetaceae. Although previous phylogenetic and phylogenomic studies confirmed the position of C. auris in the Metschnikowiaceae, these analyses failed to resolve the position of the CAH clade within the family and its delimitation from the genera Clavispora and Metschnikowia. To resolve the position of the CAH clade, phylogenomic and comparative genomics analyses were carried out to address the phylogenetic position of C. auris and related species in the Metschnikowiaceae using several metrics, such as the average amino acid identity (AAI) values, the percentage of conserved proteins (POCP) and the presence-absence patterns of orthologs (PAPO). Based on those approaches, 13 new genera are proposed for various Candida and Hyphopichia species, including members of the CAH clade in the Metschnikowiaceae. As a result, C. auris and related species are reassigned to the genus Candidozyma. Fifty-five new combinations and nine new species are introduced and this will reduce the polyphyly of the genus Candida. Citation: Liu F, Hu Z-D, Zhao X-M, et al. 2024. Phylogenomic analysis of the Candida auris-Candida haemuli clade and related taxa in the Metschnikowiaceae, and proposal of thirteen new genera, fifty-five new combinations and nine new species. Persoonia 52: 22-43. https://doi.org/10.3767/persoonia.2024.52.02 .

UNASSIGNED: The National Cancer Center (NCC) of China regularly reports the nationwide statistics on cancer incidence and mortality in China. The International Agency for Research on Cancer (IARC) calculates and publishes the cancer burden of countries around the world every two years. To ensure consistency between the actual surveillance data in China and the data published by IARC, NCC has received approval from the National Health Commission and IARC to simultaneously release the cancer burden data for China in GLOBOCAN 2022.
UNASSIGNED: There were a total of 700 registries reporting high-quality data on cancer incidence and mortality across China in 2018, of which 106 registries with continuous monitoring from 2010 to 2018 were used to establish an age-period-cohort model to simulate the trend of cancer incidence and mortality and to estimate the incidence and mortality in China in 2022. In addition, we analyzed the temporal trends of age-standardized cancer incidence and mortality from 2000 to 2018 using data from 22 continuous cancer registries.
UNASSIGNED: It was estimated about 4,824,700 new cancer cases and 2,574,200 new cancer deaths occurred in China in 2022. Cancers of the lung, colon-rectum, thyroid, liver and stomach were the top five cancer types, accounting for 57.42% of new cancer cases. Cancers of the lung, liver, stomach, colon-rectum and esophagus were the five leading causes of cancer deaths, accounting for 67.50% of total cancer deaths. The crude rate and age-standardized incidence rate (ASIR) were 341.75 per 100,000 and 201.61 per 100,000, respectively. The crude mortality rate was 182.34 per 100,000 and the age-standardized mortality rate (ASMR) was 96.47 per 100,000. The ASIR of all cancers combined increased by approximately 1.4% per year during 2000-2018, while the ASMR decreased by approximately 1.3% per year. We observed decreasing trends in ASIR and ASMR for cancers of the esophagus, stomach, and liver, whereas the ASIR increased significantly for cancers of the thyroid, prostate, and cervix.
UNASSIGNED: Cancer remains a major public health concern in China, with a cancer profile that reflects the coexistence of developed and developing regions. Sustained implementation of prevention and control measures has resulted in significant reductions in the incidence and mortality rates of certain historically high incidence cancers, such as esophageal, stomach and liver cancers. Adherence to the guidelines of the Healthy China Action Plan and the Cancer Prevention and Control Action Plan, along with continued efforts in comprehensive risk factor control, cancer screening, early diagnosis and treatment, and standardization of diagnostic and therapeutic protocols, are key strategies to effectively mitigate the increasing cancer burden by 2030.

UNASSIGNED: National Cancer Center (NCC) of China annually reports the nationwide statistics for cancer incidence and mortality using population-based cancer registry data from all available cancer registries in China.
UNASSIGNED: There were a total of 487 registries which reported high quality data of cancer incidence and mortality across China in 2016. The nationwide numbers of new cancer cases and deaths were estimated using the pooled cancer registry data, which were stratified by area (urban/rural), sex, age group (0, 1-4, 5-9, 10-14…85+) and cancer site for incidence and mortality, and then multiplied by corresponding national population. The world Segi\'s population was applied for the calculation of age-standardized rates.
UNASSIGNED: About 4,064,000 new cancer cases and 2,413,500 new cancer deaths occurred in China in 2016. Cancers of the lung, colon-rectum, stomach, liver and female breast were the top five common cancers, accounting for 57.4% of total cancer new cases. Cancers of the lung, liver, stomach, colon-rectum and esophagus were the five leading causes of cancer deaths, accounting for 69.3% of total cancer deaths. The crude and age-standardized incidence rates (ASIR) were 293.91 and 186.46 per 100,000 population, respectively. The crude mortality rate was 174.55/100,000 and the age-standardized mortality rate (ASMR) was 105.19/100,000. The ASIR was higher but the ASMR was lower in urban areas than that in rural areas. In past decades, the ASIR was relatively stable in males, but significantly increased by about 2.3% per year in females for overall cancers combined. In contrast, the ASMR significantly decreased by about 1.2% per year for both sexes during 2000-2016. Notably, the cancer-specific ASIR and ASMR of esophageal, stomach, and liver cancers decreased significantly, whereas both rates for cancers of the colon-rectum, prostate, female breast, cervix, and thyroid increased significantly.
UNASSIGNED: Cancer remains a major public health problem in China, which demands long-term collaborative efforts of a broad community. With the national guideline on cancer prevention and control, tailored cancer prevention and control programs are needed in different regions to help reduce the burden of these highly fatal diseases in China.

Fraudulent activities especially in auto insurance and credit card transactions impose significant financial losses on businesses and individuals. To overcome this issue, we propose a novel approach for fraud detection, combining convolutional neural networks (CNNs) with support vector machine (SVM), k nearest neighbor (KNN), naive Bayes (NB), and decision tree (DT) algorithms. The core of this methodology lies in utilizing the deep features extracted from the CNNs as inputs to various machine learning models, thus significantly contributing to the enhancement of fraud detection accuracy and efficiency. Our results demonstrate superior performance compared to previous studies, highlighting our model\'s potential for widespread adoption in combating fraudulent activities.

BACKGROUND: Medication dispensing errors cause wastage of medicines and increase healthcare costs, with serious consequences for patients. However, few studies have systematically and completely reviewed dispensing errors, with inadequate attention to the objective regularity and risk factors for dispensing errors.
OBJECTIVE: To explore the potential causes and risk factors influencing the prevalence of medication dispensing errors.
METHODS: We collected patient-reported medication dispensing errors from a large tertiary care hospital in South China over 11 years. We assessed the characteristics of dispensing errors, labelled the causes, compared them with more than 25 million prescriptions from 2012 to 2022, identified the susceptibility factors for the occurrence of dispensing errors, and analysed the characteristics and patterns of the errors.
RESULTS: A total of 376 patient-reported dispensing errors were recorded. It took an average of 5.2 days for a patient to find an error. Only 37.5% of errors were reviewed by the patient within 24 hours. These errors directly contributed to a medication loss of US$188 406. Of the 160 recorded pharmacists, 112 (70%) committed dispensing errors. Dispensing errors were affected by the pharmacists\' use of the machine, workload and the length of monthly vacation. Of the dispensing errors, 47.9% (n=180) were caused by medication packaging or names that were similar. Antibiotics (n=32, 8.5%) were the most common types of drugs dispensed incorrectly, and traditional Chinese medicines (n=31, 8.2%) and immunosuppressants (n=21, 5.6%) were the most likely to be dispensed in inaccurate quantities.
CONCLUSIONS: Organising adequate staff and using machines to prepare medicines may be necessary to reduce dispensing errors. When pharmacists have been away from work for more than 72 hours they should find their rhythm in other positions before dispensing medicines. It is more important to prioritise the differentiation of medicines with similar packaging over those with similar names when arranging drug shelving.

BACKGROUND: Among Chinese medical students, medical statistics is often perceived as a formidable subject. While existing research has explored the attitudes of Chinese postgraduate medical students towards statistics and its impact on academic performance, there is a scarcity of studies examining the attitudes of Chinese medical undergraduates on this subject. This study endeavors to scrutinize the attitudes of Chinese medical undergraduates towards statistics, assessing their ramifications on learning achievements, and delving into the influence of demographic factors.
METHODS: 1266 medical undergraduates participated in this study, completing a questionnaire that included SATS-36 and additional queries. Furthermore, an examination was administered at the end of the medical statistics course. The analysis encompassed the SATS score and exam scores, examining both the overall participant population and specific demographic subgroups.
RESULTS: Undergraduate medical students generally exhibit a favorable disposition towards statistics concerning Affect, Cognitive Competence, and Value components, yet harbor less favorable sentiments regarding the Difficulty component of SATS-36, aligning with previous research findings. In comparison to their postgraduate counterparts, undergraduates display heightened enthusiasm for medical statistics. However, they demonstrate a lower cognitive capacity in statistics and tend to underestimate both the value and difficulty of learning statistics. Despite these disparities, undergraduate medical students express a genuine interest in statistics and exhibit a strong dedication to mastering the subject. It is noteworthy that students\' attitudes toward statistics may be influenced by their major and gender. Additionally, there exists a statistically significant positive correlation between learning achievement and the Affect, Cognitive Competence, Value, Interest, and Effort components of the SATS-36, while a negative correlation is observed with the Difficulty component.
CONCLUSIONS: Educators should carefully consider the influence of attitudes toward statistics, especially the variations observed among majors and genders when formulating strategies and curricula to enhance medical statistics education.

OBJECTIVE: This study aimed to identify predictors of sepsis-associated in-hospital mortality from readily available laboratory biomarkers at onset of illness that include haematological, coagulation, liver and kidney function, blood lipid, cardiac enzymes and arterial blood gas.
METHODS: Children with sepsis were enrolled consecutively in a prospective observational study involving paediatric intensive care units (PICUs) of two hospitals in Beijing, between November 2016 and January 2020. The data on demographics, laboratory examinations during the first 24 hours after PICU admission, complications and outcomes were collected. We screened baseline laboratory indicators using the Least Absolute Shrinkage and Selection Operator (LASSO) analysis, then we constructed a mortality risk model using Cox proportional hazards regression analysis. The ability of risk factors to predict in-hospital mortality was evaluated by receiver operating characteristic (ROC) curves.
RESULTS: A total of 266 subjects were enrolled including 44 (16.5%) deaths and 222 (83.5%) survivors. Those who died showed a shorter length of hospitalisation, and a higher proportion of mechanical ventilation, complications and organ failure (p<0.05). LASSO analysis identified 13 clinical parameters related to prognosis, which were included in the final Cox model. An elevated triglyceride (TG) remained the most significant risk factor of death (HR=1.469, 95% CI: 1.010 to 2.136, p=0.044), followed by base excess (BE) (HR=1.131, 95% CI: 1.046 to 1.223, p=0.002) and pH (HR=0.95, 95% CI: 0.93 to 0.97, p<0.001). The results of the ROC curve showed that combined diagnosis of the three indicators-TG+BE+pH-has the best area under the curve (AUC) (AUC=0.77, 95% CI: 0.69 to 0.85, p<0.001), with a 68% sensitivity and 80% specificity.
CONCLUSIONS: Laboratory factors of TG, BE and pH during the first 24 hours after intensive care unit admission are associated with in-hospital mortality in PICU patients with sepsis. The combination of the three indices has high diagnostic value.

UNASSIGNED: In recent years, Mendelian randomization (MR) has been widely used to infer causality of related disease risk exposures. However, this strategy has not been applied to biliary atresia (BA).
UNASSIGNED: Genome-wide association studies (GWAS) data of 41 inflammatory cytokines, 731 immune cell traits, and 1400 metabolites were obtained from public databases as exposure factors. The outcome information was obtained from a GWAS meta-analysis of 499 children with BA and 1928 normal controls. Inverse variance weighting was the primary causality analysis. Cochran Q-test, MR-Egger intercept, MR pleiotropy residual sum and outlier, and \'leave-one-out\' analyses were used for sensitivity analysis. Reverse MR, MR-Steiger, and Linkage Disequilibrium Score were used to exclude the effects of reverse causality, genetic association, and linkage disequilibrium.
UNASSIGNED: MR results showed that a total of seven traits had potential causal relationships with BA, including three inflammatory cytokines: eotaxin (odds ratio (OR)=1.45, 95% confidence interval (CI): 1.08 to 1.95, p FDR=0.18), G-CSF (OR=4.21, 95% CI: 1.75 to 10.13, p FDR=0.05) and MCP-1/MCAF (OR=1.53, 95% CI: 1.12 to 2.10, p FDR=0.14); three immune cell traits: CD8dim NKT/T cells ratio (OR=0.59, 95% CI: 0.45 to 0.77, p FDR=0.06), CD8dim NKT counts (OR=0.58, 95% CI: 0.43 to 0.78, p FDR=0.06), CD8dim NKT/lymphocyte ratio (OR=0.63, 95% CI: 0.49 to 0.81, p FDR=0.06); one metabolite: X-12261 levels (OR=2.86, 95% CI: 1.73 to 4.74, p FDR=0.06).
UNASSIGNED: In this study, eotaxin, G-CSF, MCP-1/MCAF, and X-12261 levels were shown to be risk factors for BA. However, CD8dim NKT/T cells ratio, CD8dim NKT counts, and CD8dim NKT/lymphocyte ratio were protective factors for BA. These findings provided a promising genetic basis for the etiology, diagnosis, and treatment of BA.

Tianwang Buxin Pills have demonstrated therapeutic effects in clinical practice, whereas there is a serious lack of comprehensive quality control to ensure the safety and effectiveness of clinical medication. In this study, ultra-performance liquid chromatography(UPLC) was employed to establish the fingerprint and the method for simultaneously determining the content of seven components of Tianwang Buxin Pills. Furthermore, chemometrics was employed to identify the key factors for the stable quality, which provided a reference for the comprehensive quality control and evaluation of this preparation. There were 25 common peaks in the UPLC fingerprints of 15 batches of Tianwang Buxin Pills, from which thirteen compounds were identified. A quantitation method was established for seven pharmacological components(α-linolenic acid, salvianolic acid B, glycyrrhetinic acid, schisandrin A, β-asarone, 3,6\'-disinapoylsucrose, and ligustilide). The principal component analysis(PCA) and partial least square discriminate analysis(PLS-DA) were performed to determine the key pharmacological components for controlling the quality stability of Tianwang Buxin Pills, which included 3,6\'-disinapoylsucrose, α-linolenic acid, and β-asarone. The established fingerprint and multi-component content determination method have strong specificity, stability, and reliability. In addition, 3,6\'-disinapoylsucrose, α-linolenic acid, and β-asarone are the key pharmacological components that ensure the quality stability between batches and can be used to comprehensively control the quality of Tianwang Buxin Pills. The findings provide a scientific basis for the quality evaluation and standard establishment of Tianwang Buxin Pills.