OBJECTIVE: To identify the blood type of specimens from pregnant patients with difficult-to-type ABO status, and to guide clinical safe blood transfusion. METHODS: The specimens from 36 pregnant patients with suspicious ABO blood group were collected. These specimens were submitted by clinical institutions from various regions to our center's genetic testing platform from January 2021 to December 2022. The blood group phenotypes and genotypes of these specimens were identified by serological method and genetic sequencing. RESULTS: A total of 20 ABO subtypes were detected in the 36 samples, including 10 cases of BA/O, 3 cases of cisAB/O, 2 cases of A/Bw, 1 case of A2/B, 1 case of Aw/B, 1 case of BA/B, 1 case of BA/A, and 1 case of Bw/O. Additionally, 4 cases were identified as para-Bombay blood type, and no specific variations associated with abnormal phenotypes were found in the remaining 12 cases. CONCLUSION ABO subtypes interfere with ABO blood group identification in pregnant patients, and pregnancy status also affects blood group phenotype. Accurate determination of blood group genotype by genetic sequencing technology can guide clinical blood transfusion for pregnant patients, and ensure maternal and infant safety.
Humans ; Female ; Pregnancy ; ABO Blood-Group System/genetics* ; Blood Grouping and Crossmatching ; Blood Transfusion ; Genotype ; Phenotype

BACKGROUND: Blood glucose and serum albumin have been associated with cardiovascular disease prognosis, but the impact of admission-blood-glucose-to-albumin ratio (AAR) on adverse outcomes in critical ill coronary artery disease (CAD) patients was not investigated. METHODS: Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR. The primary outcome was 1-year mortality, and secondary endpoints were in-hospital mortality, acute kidney injury (AKI), and renal replacement therapy (RRT). A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients. Kaplan-Meier survival analysis determined differences in endpoints across subgroups. RESULTS: A total of 8360 patients were included. There were 726 patients (8.7%) died in the hospital and 1944 patients (23%) died at 1 year. The incidence of AKI and RRT was 63% and 4.3%, respectively. High AAR was markedly associated with in-hospital mortality (HR = 1.587, P = 0.003), 1-year mortality (HR = 1.502, P < 0.001), AKI incidence (HR = 1.579, P < 0.001), and RRT (HR = 1.640, P < 0.016) in CAD patients in the completely adjusted Cox proportional hazard model. Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles. Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes. CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality, 1-year mortality, and adverse renal prognosis in critical CAD patients.

Objective To explore the eradication rate of human papillomavirus(HPV)and gestational outcome of patients with high-grade squamous intraepithelial disease of the cervix(HSIL)after loop electrosurgical excision procedure(LEEP)by transvaginal dissection of the vesicorectal form the cervix.Methods A total of 53 patients treated with LEEP by transvaginal dissection of the vesicorectal form the cervix in Obstetrics and Gynecology Hospital,Fudan University from Jan to Dec,2019 were investigated.Clinical information of cervical cytological examination,HPV test and cervical biopsy under colposcopy were followed up for 6,12 and 24 months post-LEEP were collected.HPV infection in these 53 patients were compared before and after LEEP surgery.The rate of successful fertility of the cohort,the HPV conversion rate of patients with hysterectomy and LEEP done were compared.The association between the pathological type and positive surgical margin and the association between HPV infection type and positive surgical margin were analyzed.Results HPV infection rate of was 94.3%(50/53)and the proportion of HPV16 and/or 18 infection was 75.5%(40/53).Mono-HPV infection rate(69.8%,37/53)was significantly higher than mixed HPV infection rate(22.7%,13/53).Thirty-eight patients(71.7%)were found with positive surgical margin in previous LEEP operation.Fifteen patients had recurrence(28.3%)and 40 patients(75.5%)successfully delivered baby after surgery.Postoperative pathology was mainly HSIL,accounting for 66%(30/53),and 28.3%patients(15/53)had no pathological change.Forty cases had satisfying fertility-conservative operation outcome with negative surgical margin,and 38 patients eradicated HPV infection after LEEP,which took up 95%of patients with satisfying fertility-conservative operation.There was no significant difference of positive resection margin rate in between groups of HPV16/18 infection and other types.Five cases had successful delivery(12.5%,5/40)with 1 case of vaginal delivery and 4 cases of cesarean section.Among these 5 cases,3 cases undertook preventive cervical cerclage,with 1 case of vaginal delivery and 2 cases of cesarean sections.Conclusion HPV eradication rate and surgical outcome could be significantly improved by LEEP with transvaginal dissection of the vesicorectal from the cervix,which satisfied the fertility preservation of females at reproductive age.

Objective To develop a time-resolved fluorescent immunoassay kit for the rapid,accurate and quantitative detection of S100B protein in serum and to evaluate its performance.Methods The test strip was prepared using time-resolved fluorescent microsphere-labeled anti-S100B polyclonal antibody and rabbit IgG antibody,labeling pads,sample pads,S100B nitrocellulose films and absorbent paper,and an S100B time-resolved fluorescence immunoassay kit was obtained by assembling the cartridge.The performance of the kit developed was evaluated by standard curve,accuracy,minimum detection limit,linear interval,specificity,reproducibility and stability.The reference intervals of 199 pieces of healthy human serum and plasma samples from a certain region were detected with the kit,and the clinical performance of the kit and Roche Elecsys S100 kit was tested by synchronous blind method to assess the consistency of the results of the two kits for 142 samples.Results The S100B time-resolved fluorescence immunoassay kit had the standard curve beingy=(1.133 02+1.752 24)/[1+(x/1.082 20)×(-0.603 52)]-1.752 24,R2=0.999 08 and the linear range being[0.05,30]ng/mL,which met the requirements of the relative deviation of the accuracy within±15％,the minimum detection limit not hgier than 0.05 ng/mL,the relative deviation of specificity within±15％and the coefficient of variation of intra-and inter-batch difference less than 15％.The stability test results indicated that the kit was valid for 12 months at 2-30 ℃ conditions.The reference intervals of serum and plasma samples measured by the kit were both lower than 0.3 ng/mL.Clinical trials showed that the results by the kit and Roche Elecsys S100 Assay Kit were in high agreement(Kappa=0.906 1＞0.80)and met the requirements.Conclusion The kit developed detects the concentration of S100B protein in serum quickly,accurately and quantitatively,and provides references for the diagnosis and treatment of neurological diseases,autoimmune diseases,cerebrovascular diseases and etc.[Chinese Medical Equipment Journal,2024,45(1):47-55]

The p53 protein is an essential tumor suppressor in the human body that plays a critical role in preventing tumor formation by controlling cell cycle arrest and promoting apoptosis. Mutations in the p53 gene are frequently observed in more than 50% of tumor tissues and lead to the generation of mutant p53 proteins, which not only have a dominant-negative effect (DN) that hinders the function of wild-type p53 protein but also have gain-of-function (GOF) effects that stimulate tumor development by regulating cell metabolism, invasion, migration, and other processes. Therefore, mutant p53 protein has become a specific drug target for cancer therapy. However, the lack of a drug-binding pocket and smooth surface of mutant p53 proteins have made them undruggable targets for a long time. In recent years, with the development of high-throughput screening technology and an enhanced understanding of the structure and conformational changes exhibited by mutant p53 proteins, a multitude of small molecule compounds directed against mutant p53 protein have been identified, exhibiting substantial in vitro anti-tumor efficacy. Moreover, some of these compounds have entered clinical trials. This review summarized the direct and indirect strategies for the treatment of cancers targeting mutant p53, with a primary focus on the mechanisms of action of small molecule compounds that reactivate mutant p53 protein or degrade mutant p53 protein. The aim is to provide assistance for the development of innovative drugs targeting mutant p53 protein in the future.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objective To investigate the dosimetric effects of different calculation grid size(CGS)in helical tomotherapy(HT)planning system on stereotactic body radiation therapy(SBRT)for non-small cell lung cancer(NSCLC).Methods Nine NSCLC patients receiving radiation therapy for the first time at some hospital from March 2019 to December 2022 were selected as the subjects.SBRT planning was carried out through the HT system with three different CGS plans(Fine,Normal,and Coarse)and the same pitch,modulation factor(MF)and optimization conditions,and the target area indexes of the three CGS plans were compared including conformity index(CI),homogeneity index(HI),dosimetric parameters of the organ at risk(OAR),point dose verification pass rate,treatment time,number of monitor units and Sinograms.SPSS 22.0 was used for statistical analysis.Results For target area HI,there weres significant differences between CGS Fine plan and Coarse plan and between CGS Normal plan and Coarse plan(P＜0.05),while no statistical differences were found between CGS Fine plan and Normal plan(P＞0.05).For target area CI,there were significant differences between CGS Fine plan and Coarse plan(P＜0.05),while no statistical differences were found between CGS Fine plan and Normal plan and between CGS Normal plan and Coarse plan(P＞0.05).For OAR dosimetric parameters,CGS Fine plan and Coarse plan had significant differences in heart Dmax and Dmean,esophageal Dmax and Dmean,V5,V20,V30 and Dmean of the whole lung and affected lung,V5 and Dmax of the affected lung and heart V10 and V30(P＜0.05),CGS Normal plan and Coarse plan had obvious differences in esophageal Dmax(P＜0.05),and the remained dosimetric parameters were not statistically significant(P＞0.05).Fine,Normal and Coarse plans had the point dose verifica-tion pass rates being 0.96％,1.50％and 1.77％,respectively.In terms of treatment time and number of monitor units,there were significant differences between Fine plan and Coarse plan(P＜0.05)while no statistical differences were found between Fine and Normal plans and between Normal and Coarse plans(P＞0.05).Sinograms analyses showed Fine plan had evenly distributed segment color gradient,Coarse plan had areas of very dark and very light color gradients and Normal plan was somewhere in between.Conclusion Low CGS has to be used as much as possible to obtain accurate dose distribution during SBRT planning for NSCLC patients,which contributes to the execution of the radiation therapy plan and the prevention of ad-verse effects.[Chinese Medical Equipment Journal,2024,45(2):52-57]