ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

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.

【Objective】 To construct an easy-to-use individual survival prognostic tool based on competing risk analyses to predict the risk of 1-, 2- and 3- year recurrence for patients with non-muscle invasive bladder cancer (NMIBC). 【Methods】 The follow-up data of 419 NMIBC patients were obtained. The patients were randomly divided into training cohort (n=293) and validation cohort (n=126). The variables included age at diagnosis, sex, history of smoking, tumor number, tumor size, histolo-gic grade, pathological stage, and bladder perfusion drug. The cumulative incidence function (CIF) of recurrence was estimated using all variables in the training cohort and potential prognostic variables were determined with Gray’s test. The Fine-Gray subdistribution proportional hazard approach was used as a multivariate competitive risk analysis to identify independent pro-gnostic variables. A competing risk nomogram was developed to predict the recurrence. The performance of the competing risk model was evaluated with the area under the receiver operating characteristic curve (AUC), calibration curve, and Brier score. 【Results】 Five independent prognostic factors including age, number of tumors, tumor size, histologic grade and pathological stage were used to construct the competing risk model. In the validation cohort, the AUC of 1-, 2- and 3- year recurrence were 0.895 (95%CI: 0.831-0.959), 0.861(95%CI: 0.774-0.948) and 0.827(95%CI: 0.721-0.934), respectively, indicating that the model had a high predictive performance. 【Conclusion】 We successfully constructed a competing risk model to predict the risk of 1-, 2- and 3-year recurrence for NMIBC patients. It may help clinicians to improve the postoperative management of patients.

ObjectiveTo assess the predictive performance of four creatinine-based equations for estimated glomerular filtration rate （eGFR）： 2012 chronic kidney disease epidemiology collaboration （CKD-EPIcr） equation ， 2021CKD-EPIcr equation， Xiangya equation and European kidney function consortium （EKFC） equation. MethodsA total of 198 patients with chronic kidney disease from the Third Affiliated Hospital of Sun Yat-sen University and the Kiang Wu Hospital in Macau were enrolled. We compared the GFR measured （mGFR） by iohexol plasma clearance and the eGFR calculated by four equations. The agreement between mGFR and eGFR was analyzed by Bland-Altman plots， concordance correlation coefficient （CCC）， coverage probability （CP） and total deviation index （TDI）. The performance of eGFR equations， including their bias， precision， root square mean error （RSME）， and percentage of estimates within 30% deviation of measured GFR （P₃₀）， were evaluated. Bootstrap method （2 000 samples） was used to calculate bias， interquartile range （IQR）， RSME， and 95% confidence intervals （CI） for P_30. After selecting the optimal eGFR equation as the reference， we statisticlly tested other equations by ① Wilcoxon signed-rank test for bias； ② McNemar-Bowker test for P₃₀； ③ comparing RMSE and IQR with independent samples t test after 2 000 bootstrap samples were obtained. ResultsThe median mGFR and four eGFR equations （EKFC， 2012CKD-EPIcr， 2021CKD-EPIcr and Xiangya equation） in the overall population were 56.2 mL·min^-1·（1.73m²）^-1， 67.1 mL·min^-1·（1.73m²）^-1， 73.0 mL·min^-1·（1.73m²）^-1， 66.9 mL·min^-1·（1.73m²）^-1 and 63.8 mL·min^-1·（1.73m²）^-1， respectively. The Bland-Altman plots showed that EKFC equation had the lowest mean difference and the narrowest 95% limit of agreement. The EKFC equation had the optimal performance on CCC， TDI and CP with values of 0.90， 24.41 and 0.50， respectively. Overall， the bias， accuracy， P₃₀ and RSME from the EKFC equation was -0.99， 14.64， 0.80， and 14.68， respectively， with 95% CI ranging from -2.53 to 0.94， 11.82 to 17.35， 0.73 to 0.85， and 12.69 to 17.35， respectively， which were superior to those values from other three eGFR equations. The differences were statistically significant （all P < 0.05）. The results in the mGFR subgroups were basically consistent with the overall trend. ConclusionsOf the four eGFR equations validated in this study， the EKFC equation comprehensively surpasses 2012CKD-EPIcr equation， 2021CKD-EPIcr equation， and Xiangya equation. With P₃₀>75%， the EKFC equation can meet clinical diagnostic needs. Therefore， the EKFC equation is recommended for estimating GFR in a Chinese population， but more participants need be included to further support this conclusion.

Objective To analyze the effects of serum uric acid and lipid levels on intestinal microflora environment in elderly patients with coronary heart disease (CHD) combined with type 2 diabetes mellitus (T2DM), and to provide reference for the treatment of elderly patients with CHD combined with T2DM. Methods In the experimental group, 160 elderly patients with CHD complicated with T2DM who were treated in our hospital from January 2020 to January 2021 were selected, all of whom were over 60 years old. According to the level of uric acid (UA), they were divided into high uric acid group (n=62) and normal uric acid group (n=98). According to the total cholesterol (TC) level, the patients were divided into high cholesterol group (n=74) and normal blood lipid group (n=86). Sixty elderly normal patients treated at the same time were selected as the control group. The levels of uric acid, low density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) were determined and analyzed by biochemical analyzer. The distribution of intestinal flora (bifidobacteria, Lactobacillus, Escherichia coli, Helicobacter pylori, streptococcus) in stool samples of all patients was determined. Spearman linear correlation analysis was used to analyze the correlation between serum uric acid, lipid levels and intestinal microflora distribution in elderly patients with coronary heart disease. Results The serum LEVELS of UA, LDL-C and TC in experimental group were significantly higher than those in control group (P<0.05). Lactobacillus and bifidobacterium in high cholesterol group were significantly lower than those in normal blood lipid group, escherichia coli in high cholesterol group was significantly higher than that in normal blood lipid group (P<0.05), and there was no statistical significance in helicobacter pylori and Streptococcus between the two groups (P>0.05). Bifidobacteria and lactobacillus in high uric acid group were significantly lower than those in normal uric acid group (P<0.05), escherichia coli, Helicobacter pylori and Streptococcus in high uric acid group were significantly higher than those in normal uric acid group (P<0.05). Spearman correlation analysis showed that UA was negatively correlated with bifidobacteria and lactobacillus, and the correlation coefficient was (r₁=-0.512 , r₂=-0.439 , P<0.05). UA was positively correlated with Escherichia coli, Helicobacter pylori and Streptococcus, with correlation coefficients (r₁=0.491,r₂=0.396, r₃=0.218,P<0.05). Spearman correlation analysis showed that TC was negatively correlated with bifidobacteria and lactobacillus, and the correlation coefficient was (r₁=-0.492,r₂=-0.427, P<0.05). TC was positively correlated with EScherichia coli (r=0.417, P<0.05). Ldl-c was negatively correlated with bifidobacterium and lactobacillus, and the correlation coefficient was (r₁=-0.457,r₂=-0.404, P<0.05). Ldl-c was positively correlated with EScherichia coli(r=0.404, P<0.05). Conclusions: Elderly CHD patients with T2DM had abnormal intestinal flora distribution, and the abundance of intestinal flora was correlated with blood lipid and uric acid levels in CHD patients with T2DM.

INTRODUCTION: Although ketamine is one of the commonest medications used in procedural sedation of children, to our knowledge, there is currently no published report on predictors of respiratory adverse events during ketamine sedation in Asian children. We aimed to determine the incidence of and factors associated with respiratory adverse events in children undergoing procedural sedation with intramuscular (IM) ketamine in a paediatric emergency department (ED) in Singapore. METHODS: A retrospective analysis was conducted of all children who underwent procedural sedation with IM ketamine in the paediatric ED between 1 April 2013 and 31 October 2017. Demographics and epidemiological data, including any adverse events and interventions, were extracted electronically from the prospective paediatric sedation database. The site of procedure was determined through reviewing medical records. Descriptive statistics were used for incidence and baseline characteristics. Univariate and multivariate logistic regression analyses were performed to determine significant predictors. RESULTS: Among 5,476 children, 102 (1.9%) developed respiratory adverse events. None required intubation or cardiopulmonary resuscitation. Only one required bag-valve-mask ventilation. The incidence rate was higher in children aged less than three years, at 3.6% compared to 1.0% in older children (odds ratio [OR] 3.524, 95% confidence interval [CI] 2.354-5.276; p < 0.001). Higher initial ketamine dose (adjusted OR 2.061, 95% CI 1.371-3.100; p = 0.001) and the type of procedure (adjusted OR 0.190 (95% CI 0.038-0.953; p = 0.044) were significant independent predictors. CONCLUSION The overall incidence of respiratory adverse events was 1.9%. Age, initial dose of IM ketamine and type of procedure were significant predictors.
Child ; Conscious Sedation/methods* ; Emergency Service, Hospital ; Humans ; Incidence ; Ketamine/adverse effects* ; Prospective Studies ; Retrospective Studies

OBJECTIVE: This study aimed to assess the associations between maternal drug use, cytochrome P450 ( CYP450) genetic polymorphisms, and their interactions with the risk of congenital heart defects (CHDs) in offspring. METHODS: A case-control study involving 569 mothers of CHD cases and 652 controls was conducted from November 2017 to January 2020. RESULTS: After adjusting for potential confounding factors, the results show that mothers who used ovulatory drugs (adjusted odds ratio [a OR] = 2.12; 95% confidence interval [ CI]: 1.08-4.16), antidepressants (a OR = 2.56; 95% CI: 1.36-4.82), antiabortifacients (a OR = 1.55; 95% CI: 1.00-2.40), or traditional Chinese drugs (a OR = 1.97; 95% CI: 1.26-3.09) during pregnancy were at a significantly higher risk of CHDs in offspring. Maternal CYP450 genetic polymorphisms at rs1065852 (A/T vs. A/A: OR = 1.53, 95% CI: 1.10-2.14; T/T vs. A/A: OR = 1.57, 95% CI: 1.07-2.31) and rs16947 (G/G vs. C/C: OR = 3.41, 95% CI: 1.82-6.39) were also significantly associated with the risk of CHDs in offspring. Additionally, significant interactions were observed between the CYP450genetic variants and drug use on the development of CHDs. CONCLUSIONS In those of Chinese descent, ovulatory drugs, antidepressants, antiabortifacients, and traditional Chinese medicines may be associated with the risk of CHDs in offspring. Maternal CYP450 genes may regulate the effects of maternal drug exposure on fetal heart development.
Adult ; Cytochrome P-450 Enzyme System/genetics* ; Female ; Genotype ; Heart Defects, Congenital/genetics* ; Humans ; Infant, Newborn ; Polymorphism, Genetic ; Pregnancy ; Pregnancy Complications/drug therapy*

OBJECTIVES: To study the characteristics of amino acid metabolism in preterm infants in Guangxi, China. METHODS: A retrospective analysis was performed on the medical data of 30 757 neonates who underwent the screening for inherited metabolic diseases and had negative results in Guangxi Neonatal Disease Screening Center from 2018 to 2020. Among these neonates, there were 28 611 normal full-term infants (control group) and 2 146 preterm infants (preterm birth group). According to gestational age, the preterm infants were further divided into four groups: very preterm (n=209), moderately preterm (n=307), and late preterm group (n=1 630). According to birth weight, they were divided into three groups: very low birth weight group (n=161), low birth weight group (n=1 085), and normal birth weight group (n=900). According to blood collection time, they were divided into three groups: 3-7 days group (n=1 664), 8-14 days group (n=314) and 15-28 days group (n=168). Tandem mass spectrometry was performed to measure the levels of 11 amino acids in dried blood spots, which were then compared between groups. RESULTS: After adjustment for confounding factors, there were significant differences in the levels of 11 amino acids among different gestational age groups (P<0.05), and significant differences were observed in the levels of the 11 amino acids between the control group and the various preterm groups (except for citrulline and methionine in the late preterm group). There were significant differences in the levels of 11 amino acids among different birth weight groups (P<0.05). Except for ornithine, there were significant differences in the levels of other amino acids among the different blood collection time groups (P<0.05). CONCLUSIONS Gestational age, birth weight and blood collection time all affect amino acid metabolism in preterm infants in Guangxi, China. This provides a basis for the laboratory to establish the reference standard and clinical interpretation of blood amino acid levels in preterm infants, and to improve the nutritional metabolism of preterm infants.
Amino Acids ; China ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Infant, Premature ; Infant, Very Low Birth Weight ; Premature Birth ; Retrospective Studies

Eight sesquiterpenoids were isolated from petroleum ether extract of Aquilariae Lignum Resinatum by various column chromatography techniques including silica gel, ODS, and semi-preparative HPLC. Their structures were identified on the basis of physicochemical properties, UV, IR, MS, and NMR spectroscopic data as(4S,5S,7R,10S)-5,7-dihydroxy-11-en-eudesmane(1),(7R,10S)-eudesma-4-en-11,15-diol(2),(2R,4S,5R,7R)-2-hydroxyeremophila-9,11-dien-8-one(3), 7α-H-9(10)-ene-11,12-epoxy-8-oxoeremophilane(4),(+)-9β,10β-epoxyeremophila-11(13)-en(5), 4(14)-eudesmene-8α,11-diol(6), 12,15-dioxo-selina-4,11-dien(7), and 2β,8 aα-dihydroxy-11-en-eremophilane(8). Compounds 1 and 2 are new compounds, and their absolute configurations were determined by calculating ECD. Compounds 1, 4, and 6-8 could significantly improve taurocholic acid(TCA)-induced gastric mucosal GES-1 cell injury at a concentration of 20 μmol·L~(-1), and the cell protection rates were 23.51%±2.79%, 16.10%±1.25%, 24.45%±4.89%, 17.48%±2.93%, and 21.44%±2.39%, respectively.
Chromatography, High Pressure Liquid ; Magnetic Resonance Spectroscopy ; Molecular Structure ; Sesquiterpenes/chemistry*

Objective: To analyze the clinical characteristics of children with Burkitt lymphoma (BL) and to summarize the mid-term efficacy of China Net Childhood Lymphoma-mature B-cell lymphoma 2017 (CNCL-B-NHL-2017) regimen. Methods: Clinical features of 436 BL patients who were ≤18 years old and treated with the CNCL-B-NHL-2017 regimen from May 2017 to April 2021 were analyzed retrospectively. Clinical characteristics of patients at disease onset were analyzed and the therapeutic effects of patients with different clinical stages and risk groups were compared. Survival analysis was performed by Kaplan-Meier method, and Cox regression was used to identify the prognostic factors. Results: Among 436 patients, there were 368 (84.4%) males and 68 (15.6%) females, the age of disease onset was 6.0 (4.0, 9.0) years old. According to the St. Jude staging system, there were 4 patients (0.9%) with stage Ⅰ, 30 patients (6.9%) with stage Ⅱ, 217 patients (49.8%) with stage Ⅲ, and 185 patients (42.4%) with stage Ⅳ. All patients were stratified into following risk groups: group A (n=1, 0.2%), group B1 (n=46, 10.6%), group B2 (n=19, 4.4%), group C1 (n=285, 65.4%), group C2 (n=85, 19.5%). Sixty-three patients (14.4%) were treated with chemotherapy only and 373 patients (85.6%) were treated with chemotherapy combined with rituximab. Twenty-one patients (4.8%) suffered from progressive disease, 3 patients (0.7%) relapsed, and 13 patients (3.0%) died of treatment-related complications. The follow-up time of all patients was 24.0 (13.0, 35.0) months, the 2-year event free survival (EFS) rate of all patients was (90.9±1.4) %. The 2-year EFS rates of group A, B1, B2, C1 and C2 were 100.0%, 100.0%, (94.7±5.1) %, (90.7±1.7) % and (85.9±4.0) %, respectively. The 2-year EFS rates was higher in group A, B1, and B2 than those in group C1 (χ²=4.16, P=0.041) and group C2 (χ²=7.21, P=0.007). The 2-year EFS rates of the patients treated with chemotherapy alone and those treated with chemotherapy combined with rituximab were (79.3±5.1)% and (92.9±1.4)% (χ²=14.23, P<0.001) respectively. Multivariate analysis showed that stage Ⅳ (including leukemia stage), serum lactate dehydrogenase (LDH)>4-fold normal value, and with residual tumor in the mid-term evaluation were risk factors for poor prognosis (HR=1.38,1.23,8.52,95%CI 1.05-1.82,1.05-1.43,3.96-18.30). Conclusions: The CNCL-B-NHL-2017 regimen show significant effect in the treatment of pediatric BL. The combination of rituximab improve the efficacy further.
Adolescent ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Burkitt Lymphoma/drug therapy* ; Child ; Disease-Free Survival ; Female ; Humans ; Lactate Dehydrogenases ; Lymphoma, B-Cell/drug therapy* ; Male ; Prognosis ; Retrospective Studies ; Rituximab/therapeutic use* ; Treatment Outcome