OBJECTIVE: To explore the efficacy of a Thalassemia risk assessment software for the screening of thalassemia mutation carriers and distribution of thalassemia genotypes detected by screening. METHODS: A total of 6 040 individuals were evaluated at Leshan Maternal and Child Health Care Hospital between 2022 and 2024 using the commonly used clinical thalassemia risk assessment method and the thalassemia screening software, respectively, and the performance indicators of the two methods were compared and analyzed against the result of thalassemia gene testing. This study was approved by the Ethics Committee of our hospital (Ethics No.: LfyLL[2022]005). RESULTS: The high-risk rate by the thalassemia screening software was 11.19%, with a sensitivity of 95.12%, specificity of 93.28%, positive predictive value of 43.20%, negative predictive value of 99.72%, and the area under the ROC curve (AUC) was 0.942. The thalassemia gene detection rate of the high-risk samples screened was 4.83%. The high-risk screening rate of the conventional method was 2.50%, with a sensitivity of 51.22%, specificity of 93.28%, positive predictive value of 80.79%, negative predictive value of 97.40%, and the AUC was 0.754. The thalassemia gene detection rate of the high-risk samples was 2.02%. CONCLUSION The software can effectively detect thalassemia carriers and significantly reduce the missed detection compared with conventional method, thereby significantly improve the efficacy of screening.
Humans ; Thalassemia/diagnosis* ; Software ; Female ; Genetic Testing/methods* ; Male ; Mutation ; Adult ; Genotype ; ROC Curve ; Risk Assessment

Objective To elucidate how the overexpression of cystathionine-β-synthase(CBS)plays an antihypertensive role by affecting peroxisome proliferator-activated receptor γ coactivator-1α(PGC-1α)expression.Methods The adeno-associated viruses(AAVs),ones that overexpressed CBS,and another knocked down PGC-1α,were injected into the hypothalamic paraventricular nucleus(PVN)of spontaneously hypertensive rats(SHRs).The rats'blood pressure was monitored,and the level of norepinephrine(NE)was examined by ELISA;PVN inflammatory response,oxidative stress and tyrosine hydroxylase(TH)expression were detected with RT-qPCR and immunofluorescence.Results PVN overexpression of CBS could increase the transcription level of CBS(by 3.8 times,P＜0.05)and PGC-1α(by 1.6 times,P＜0.05)in PVN of SHR.PVN overexpression of CBS could reduce blood pressure in SHR(from 177.81 mmHg to 128.77 mmHg,P＜0.001),but PVN knockdown of PGC-1αweakened such effect(from 128.77 mmHg to 152.79 mmHg,P＜0.05).PVN overexpression of CBS could alleviate PVN inflammatory response and oxidative stress,but this effect was weakened or even eliminated when knocking down PGC-1α was performed at the same time.Conclusion PVN overexpression of CBS can reduce blood pressure in SHR,and this effect may be achieved by increasing the transcriptional level of PGC-1α,alleviating PVN inflammatory response,oxidative stress,and improving sympathetic nerve excitation.

OBJECTIVE To investigate the current status of contamination with carbapenem-resistant gram-negative bacteria in environment of intensive care units(ICU)of tertiary hospitals in Shanghai and find out the potential contamination sources so as to provide bases for prevention and control of multidrug-resistant organisms infec-tions in the ICUs.METHODS The surroundings of the ICU patients detected with CRGNB and environmental ob-jects surfaces in public area were sampled by mSuperCARBA chromogenic media from Dec.2024 to Jan.2025,the strains were isolated,and the targeted strains were identified by matrix-assisted laser desorption/ionization time-of-flight(MALDI-TOF)mass spectrometer.RESULTS A total of 653 samples were collected in the survey,76 of which were positive for bacterial culture,60 were detected with CRGNB,and the isolation rate of CRGNB was 9.19％.The isolation rate of CRGNB was 53.40％in the water-source group,0.91％in the non-water-source group,and there was significant difference(x2=286.450,P＜0.001).The result of whole genome sequencing for 17 strains of CRKP showed that ST11 and ST15 were the two major types of multilocus typing(MT),respective-ly carrying 2-12 types of drug resistance genes.CONCLUSIONS The CRGNB strains are detected in some environ-mental sites of the ICUs of 15 tertiary hospitals in Shanghai,and the isolation rate of CRKP is highest among them.The colonization rate of CRGNB is relatively low on the highly frequent-contact object surfaces of the ICUs,however,sink drain holes poses a risk of hospital-acquired CRGNB infections transmissions.Additionally,the ba-sins and towels of the CRGNB patients are hard to be thoroughly cleaned,disinfected and dried,resulting in a high contamination rate.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To experimentally validate clinical samples, analyze the mRNA expression of the FYVE domain containing phosphatidylinositol 3-phosphate 5 kinase ( PIKFYVE) gene, and its clinical significance based on the Cancer Genome Atlas (TCGA) database in hepatocellular carcinoma (HCC). Methods:Data information on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of non-tumorous liver tissues) were collected based on the TCGA database. Cox regression analysis and the Kaplan-Meier method were used to analyze the relationship between mRNA expression of the PIKFYVE gene and the clinical characteristics as well as survival prognosis in patients with HCC. The relationship between the PIKFYVE gene and immune cell infiltration was examined by correlation analysis with 24 kinds of immune cells. In addition, the mRNA expression level of the PIKFYVE gene and RAC-alpha serine/threonine-protein kinase ( AKT1), phosphatase and tensin homolog ( PTEN), protein kinase C alpha ( PRKCA), inositol polyphosphate-5-phosphatase ( INPP5D), phosphoinositide-3-kinase regulatory subunit 1 ( PIK3R1), inositol polyphosphate 4-phosphatase type II ( INPP4B) and phospholipase C beta 4 ( PLCB4) gene correlations were analyzed in HCC tissues. At the same time, paraffin sections of highly differentiated, moderately differentiated, poorly differentiated, and non-tumor liver tissues from patients with HCC were collected from the Department of Pathology of the First Affiliated Hospital of Xinjiang Medical University. The histopathological observation was performed by HE staining. Immunohistochemistry was used to verify the expression levels of the PIKFYVE and Ki67 proteins in each clinical sample. The t-test was used for intergroup comparison of continuous data. The χ2 test and Wilcoxon rank sum test were used for intergroup comparison of enumeration data. The Kaplan-Meier method was used for survival analysis. Results:The expression level of the PIKFYVE gene was higher in the HCC tumor than that in normal liver tissue ( P<0.01). The overall survival time of patients was significantly longer in the low expression group than that in the high expression group ( HR=1.57, 95% CI: 1.10～2.25, P=0.014). The results of univariate Cox regression analysis showed that tumor stage, pathological grade, tumor status, residual tumor, and PIKFYVE expression level all had an effect on OS ( P<0.05). The PIKFYVE prognostic risk model had a proportionate score of HR=1.533 (95% CI: 1.077～2.181, P=0.018). Multivariate Cox risk regression analysis showed that the PIKFYVE prognostic risk model had a proportionate score of HR=1.481 (95% CI: 0.886～2.476, P=0.134) and an area under the receiver operating characteristic curve of 0.559, indicating that it had predictive value for survival prediction. The results of the correlation analysis showed that the expression level of PIKFYVE was strongly correlated with immune cell infiltration and TP53 ( P<0.01). The results of immunohistochemical staining showed that the expression level of PIKFYVE was significantly higher in HCC tissue samples than that in non-tumor liver tissues ( P<0.01), and was negatively correlated with the degree of differentiation. Conclusion:PIKFYVE, as an independent risk factor, is expected to be developed into a biomarker for clinical diagnosis, offering a reference for novel therapeutic agents in HCC.

Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.

Objective:To explore the modulating effect of match-type of reward on social attention in children with autism spectrum disorder (ASD).Methods:From August 2023 to September 2024, twenty children with ASD and twenty typical development (TD) children peers matched to age, gender and intelligence were recruited from several rehabilitation institutions and a primary school in Hefei, Anhui province, and participated in the experiments. All children with ASD were assessed by autism behavior checklist (ABC). All children completed the reward learning task, reward learning test and visual search training on the first day and the visual search test on the second day. SMI-red eye tracking system was used to collect the children's eye tracking features. Two-way analysis of variance and t-test were utilized to examine search time and search accuracy rate using SPSS 26.0 and GraphPad Prism 8 softwares. Results:All children successfully passed the reward learning test.However, the accuracy of children with ASD was significantly lower than TD peers (96.68% vs 99.32%, Z=2.25, P<0.05). In visual search training, both ASD and TD children spent less time searching the high-reward face than the low-reward face (ASD children: (484.67±136.80)ms vs (527.09±126.90)ms, t=-2.56, P=0.02, TD children: (453.82±176.17)ms vs (511.66±187.14)ms, t=-3.41, P<0.01). During the visual search test, enhanced attention capture were observed in both groups when singleton distractor matched with high reward characteristics compared to the low reward(feature-match: ASD children(451.82±121.13)ms vs (511.67±134.99)ms, t=-2.51, P=0.02; TD children(364.79±92.83)ms vs (465.53±146.95)ms, t=-4.22, P<0.01. Relation-match: ASD children(513.67±215.03)ms vs (446.53±148.00)ms, t=-2.22, P=0.04, TD children(464.00±194.55)ms vs (410.58±184.47)ms, t=3.93, P<0.01). Conclusion:The feature-match relationship can regulate the social attention of children with ASD.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To explore the modulating effect of match-type of reward on social attention in children with autism spectrum disorder (ASD).Methods:From August 2023 to September 2024, twenty children with ASD and twenty typical development (TD) children peers matched to age, gender and intelligence were recruited from several rehabilitation institutions and a primary school in Hefei, Anhui province, and participated in the experiments. All children with ASD were assessed by autism behavior checklist (ABC). All children completed the reward learning task, reward learning test and visual search training on the first day and the visual search test on the second day. SMI-red eye tracking system was used to collect the children's eye tracking features. Two-way analysis of variance and t-test were utilized to examine search time and search accuracy rate using SPSS 26.0 and GraphPad Prism 8 softwares. Results:All children successfully passed the reward learning test.However, the accuracy of children with ASD was significantly lower than TD peers (96.68% vs 99.32%, Z=2.25, P<0.05). In visual search training, both ASD and TD children spent less time searching the high-reward face than the low-reward face (ASD children: (484.67±136.80)ms vs (527.09±126.90)ms, t=-2.56, P=0.02, TD children: (453.82±176.17)ms vs (511.66±187.14)ms, t=-3.41, P<0.01). During the visual search test, enhanced attention capture were observed in both groups when singleton distractor matched with high reward characteristics compared to the low reward(feature-match: ASD children(451.82±121.13)ms vs (511.67±134.99)ms, t=-2.51, P=0.02; TD children(364.79±92.83)ms vs (465.53±146.95)ms, t=-4.22, P<0.01. Relation-match: ASD children(513.67±215.03)ms vs (446.53±148.00)ms, t=-2.22, P=0.04, TD children(464.00±194.55)ms vs (410.58±184.47)ms, t=3.93, P<0.01). Conclusion:The feature-match relationship can regulate the social attention of children with ASD.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.