Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

[Objective] To analyze the infection status of hepatitis E virus (HEV) among blood donors in Zhengzhou, so as to provide data support for formulating local blood screening strategies. [Methods] Random samples from blood donors from January to December 2022 were tested for HEV RNA using PCR technology. Reactive samples were sequenced for gene analysis, and the donors were followed up. [Results] Among 21 311 samples, 3(0.14‰) were reactive for HEV RNA, all of whom were male. Genetic sequencing results revealed that one strong positive sample was genotype 4, while sequencing failed for the other two due to low viral load. A follow-up of 25 strong positive donors showed that ALT significantly increased on day 7 after donation, anti-HEV IgM and anti-HEV IgG turned positive. On day 21, ALT returned to normal, and on day 35, HEV RNA turned negative. Notably, anti-HEV IgM and anti-HEV IgG persisted until day 482. [Conclusion] There is HEV infection among blood donors in Zhengzhou, and it is necessary to expand the screening scope to comprehensively explore the prevalence and genotype distribution of HEV among blood donors.

Objective:To investigate the differences in the clinicopathological and magnetic resonance imaging (MRI) imaging features between ductal carcinoma in situ (DCIS) and ductal carcinoma in situ with microinfiltration (DCIS-MI) of the breast, and to clarify the risk factors for the development of DCIS-MI.Methods:Forty-four patients diagnosed with DCIS and 21 patients diagnosed with DCIS-MI by postoperative pathology at Guangdong Maternal and Child Health Hospital from November 2017 to November 2022 were included, and the clinicopathological and preoperative breast MRI data of these patients were retrospectively collected. The patients' MRI images were categorized and diagnosed with reference to the Breast Imaging Reporting and Data System (BI-RADS) criteria. The χ2 test or Fisher exact probability method was used to compare the differences in the clinicopathological and MRI imaging characteristics between the two groups of patients, and generalized linear model analysis was used to clarify the influencing factors of DCIS-MI.Results:The differences in the histologic grading, estrogen receptor (ER) expression, progesterone receptor (PR) expression, human epidermal growth factor receptor 2 (HER-2) expression, Ki-67, and molecular typing between patients in the DCIS and DCIS-MI groups were statistically significant (all P＜0.05). The results of generalized linear model analysis showed that Ki-67 expression and specific molecular typing (Luminal B and triple-negative types) were significantly associated with the risk of developing DCIS-MI ( P＜0.05). Breast fibroglandular tissue density, lesion type, background parenchymal enhancement, type of time-intensity curves (TICs), distribution of non-mass enhancement, non-mass enhancement internal enhancement characteristics, mass morphology, mass boundary, mass enhancement mode, and other MRI imaging features were not statistically significant (all P＞0.05).The MRI diagnostic accuracy of the DCIS group and the DCIS-MI group was 77.3% (34/44) and 95.2% (20/21), respectively, and the difference in the MRI BI-RADS classification of the patients in the two groups was not statistically significant ( P=0.227). Conclusions:There was no significant difference in the breast MRI imaging characteristics between patients in the DCIS and DCIS-MI groups. Patients in the DCIS-MI group were more likely to present with high histologic grades, negative ER, negative PR, positive HER-2, high Ki-67 expression, HER-2 overexpression, and triple-negative phenotypes. The association between Ki-67 expression and specific molecular typing (Luminal B and triple-negative phenotypes) and the risk of developing DCIS-MI risk were correlated.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

Objective:To investigate the differences in the clinicopathological and magnetic resonance imaging (MRI) imaging features between ductal carcinoma in situ (DCIS) and ductal carcinoma in situ with microinfiltration (DCIS-MI) of the breast, and to clarify the risk factors for the development of DCIS-MI.Methods:Forty-four patients diagnosed with DCIS and 21 patients diagnosed with DCIS-MI by postoperative pathology at Guangdong Maternal and Child Health Hospital from November 2017 to November 2022 were included, and the clinicopathological and preoperative breast MRI data of these patients were retrospectively collected. The patients' MRI images were categorized and diagnosed with reference to the Breast Imaging Reporting and Data System (BI-RADS) criteria. The χ2 test or Fisher exact probability method was used to compare the differences in the clinicopathological and MRI imaging characteristics between the two groups of patients, and generalized linear model analysis was used to clarify the influencing factors of DCIS-MI.Results:The differences in the histologic grading, estrogen receptor (ER) expression, progesterone receptor (PR) expression, human epidermal growth factor receptor 2 (HER-2) expression, Ki-67, and molecular typing between patients in the DCIS and DCIS-MI groups were statistically significant (all P＜0.05). The results of generalized linear model analysis showed that Ki-67 expression and specific molecular typing (Luminal B and triple-negative types) were significantly associated with the risk of developing DCIS-MI ( P＜0.05). Breast fibroglandular tissue density, lesion type, background parenchymal enhancement, type of time-intensity curves (TICs), distribution of non-mass enhancement, non-mass enhancement internal enhancement characteristics, mass morphology, mass boundary, mass enhancement mode, and other MRI imaging features were not statistically significant (all P＞0.05).The MRI diagnostic accuracy of the DCIS group and the DCIS-MI group was 77.3% (34/44) and 95.2% (20/21), respectively, and the difference in the MRI BI-RADS classification of the patients in the two groups was not statistically significant ( P=0.227). Conclusions:There was no significant difference in the breast MRI imaging characteristics between patients in the DCIS and DCIS-MI groups. Patients in the DCIS-MI group were more likely to present with high histologic grades, negative ER, negative PR, positive HER-2, high Ki-67 expression, HER-2 overexpression, and triple-negative phenotypes. The association between Ki-67 expression and specific molecular typing (Luminal B and triple-negative phenotypes) and the risk of developing DCIS-MI risk were correlated.

Objective:Analyzing the influence of morphological evaluation parameters of blastocysts, including days of blastocyst development [day 5 (D5) and day 6 (D6)], degree of blastocyst expansion (4, 5, 6), inner cell mass and trophectoderm grade, on the occurrence of chromosomal karyotype abnormalities of chorionic villi in missed abortion after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and fresh/frozen-thawed single blastocyst transfer. Methods:The clinical data of patients with missed abortion after IVF/ICSI treatment and fresh/frozen-thawed single blastocyst transfer from February 2015 to February 2023 in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University were included. Using a case-control study, the data were divided into two groups according to the detection results of chromosomal copy number variations (CNVs) in chorionic villi of missed abortion abnormal karyotype group ( n=139) and normal karyotype group ( n=82). The baseline data between the two groups were compared. Univariate logistic regression was used to investigate the effect of blastocyst morphological rating parameters on the occurrence of chromosomal karyotype abnormalities of chorionic villi in aborted tissues, and multivariate logistic regression was also used to adjust confounding factors. Results:Male age [(34.12±6.49) years], sperm morphology rate [5.00 (4.00,6.00)%] and female age [33.00 (30.00, 37.00) years] in abnormal karyotype group were higher than those in the normal karyotype group [(32.38±4.69) years, 4.00 (2.00,5.00)% and 31.50 (29.00,34.00) years], and the differences were statistically significant ( P=0.022, P=0.020, P=0.009). Univariate and multivariate logistic regression analyses showed that days of blastocyst development, degree of blastocyst expansion, inner cell mass and trophectoderm grade did not increase the risk of chromosomal karyotype abnormalities of chorionic villi (all P>0.05). Conclusion:There is no significant correlation between blastocyst morphological evaluation parameters and chromosomal karyotype abnormalities in chorionic villi of missed abortion after fresh/frozen-thawed single blastocyst transfer with IVF/ICSI treatment.

Objective:Analyzing the influence of morphological evaluation parameters of blastocysts, including days of blastocyst development [day 5 (D5) and day 6 (D6)], degree of blastocyst expansion (4, 5, 6), inner cell mass and trophectoderm grade, on the occurrence of chromosomal karyotype abnormalities of chorionic villi in missed abortion after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and fresh/frozen-thawed single blastocyst transfer. Methods:The clinical data of patients with missed abortion after IVF/ICSI treatment and fresh/frozen-thawed single blastocyst transfer from February 2015 to February 2023 in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University were included. Using a case-control study, the data were divided into two groups according to the detection results of chromosomal copy number variations (CNVs) in chorionic villi of missed abortion abnormal karyotype group ( n=139) and normal karyotype group ( n=82). The baseline data between the two groups were compared. Univariate logistic regression was used to investigate the effect of blastocyst morphological rating parameters on the occurrence of chromosomal karyotype abnormalities of chorionic villi in aborted tissues, and multivariate logistic regression was also used to adjust confounding factors. Results:Male age [(34.12±6.49) years], sperm morphology rate [5.00 (4.00,6.00)%] and female age [33.00 (30.00, 37.00) years] in abnormal karyotype group were higher than those in the normal karyotype group [(32.38±4.69) years, 4.00 (2.00,5.00)% and 31.50 (29.00,34.00) years], and the differences were statistically significant ( P=0.022, P=0.020, P=0.009). Univariate and multivariate logistic regression analyses showed that days of blastocyst development, degree of blastocyst expansion, inner cell mass and trophectoderm grade did not increase the risk of chromosomal karyotype abnormalities of chorionic villi (all P>0.05). Conclusion:There is no significant correlation between blastocyst morphological evaluation parameters and chromosomal karyotype abnormalities in chorionic villi of missed abortion after fresh/frozen-thawed single blastocyst transfer with IVF/ICSI treatment.

Abstract Health literate schools (HeLit-Schools) play a significant role in fostering students health literacy. The paper elucidates the background and conceptual connotations of HeLit-Schools, and analyzes how HeLit-Schools effectively integrate and enhance the health literacy of schools in three aspects: philosophy and core drivers, strategy and method implementation, as well as evaluation mechanisms and standard setting. Furthermore, the paper explores the implications of foreign HeLit-Schools research and practice for China under the context of "Healthy China" construction, as well as the key strategies for Chinese schools in the implementation of HeLit-Schools, aiming to provide a new perspective and theoretical support for Chinese schools to practice the "Healthy China initiative" and strengthen school construction from the perspective of health literacy.

Objective Because of the poor prognosis of colon adenocarcinoma(COAD),it is necessary to screen prognosis-related genes in COAD patients and establish a new prognostic risk assessment model.Methods COAD-related data from the cancer genome atlas(TCGA)and gene expression omnibus(GEO)were used as training and validation sets,respectively.Weighted gene co-expression network analysis(WGCNA),a Cox regression model and least absolute selection and shrinkage operator(LASSO)regression analysis were used to screen prognosis-related genes of COAD and establish a prognostic model.A receiver operating characteristic(ROC)curve was combined with a survival curve to verify the model accuracy,and a nomogram was constructed.Patients were divided into two groups by the median risk score.The immune cell proportion score(IPS)was used to evaluate the immunotherapy response of the two groups.Results A total of 15 feature genes were screened.The area under the ROC curve in the predictive model of COAD patients was＞0.6,and the survival rate of the high-risk group was significantly lower than that of the low-risk group(P＜0.05),suggesting a good distinguishing ability for high-and low-risk COAD patients.Patients in the low-risk group had a higher IPS(P=0.026),indicating a better response to immunotherapy.Conclusions The model developed for COAD in this study has a good ability to predict the survival of patients at high and low risk of COAD.

OBJECTIVE To investigate the protective effect and potential mechanism of cornuside on diabetic nephropathy （DN） model mice. METHODS Male KK-Ay mice were fed with high-fat and high-sugar diet for two weeks to reproduce the DN model. The successfully modeled mice were randomly grouped into model group， aminoguanidine group （positive control，100 mg/kg） and cornuside group （100 mg/kg）， and male C57BL/6J mice were included as normal group， with 6 mice in each group. Administration groups were given relevant medicine intragastrically， and normal group and model group were given a constant volume of normal saline intragastrically， once a day， for 8 consecutive weeks. The levels of fasting blood glucose （FBG）， 24 h urinary protein， serum interleukin-12 （IL-12）， IL-10， blood urea nitrogen （BUN） and serum creatinine （Scr） were detected； the pathological injury， fibrotic change and glomerular microstructure of renal tissue were observed； the expressions of the receptor of advanced glycation end products （RAGE）， collagen type Ⅳ （COL-Ⅳ） and inducible nitric oxide synthase （iNOS） in renal cortex were detected in each group. RESULTS Compared with normal group， the renal cortex of mice in model group showed obvious inflammatory cell infiltration and fibrotic changes； the mesangial hyperplasia of glomerulus was serious and the basement membrane had a large number of irregular dark dense deposits； the levels of FBG and 24 h urinary protein， the serum levels of IL- 12， BUN and Scr， and the expression levels of RAGE， COL-Ⅳ and iNOS in the renal cortex were significantly increased， while the serum level of IL-10 was significantly decreased （P＜0.01）. Compared with the model group， the renal pathological injuries， fibrotic changes and glomerular microstructure of mice in administration groups were improved significantly， and the above quantitative indexes were generally improved （P＜0.05 or P＜0.01）. CONCLUSIONS Cornuside has a certain protective effect on DN model mice. It can inhibit the inflammatory response， reduce urinary protein excretion， and alleviate renal fibrosis， which may be related to the inhibition of the advanced glycation end products/RAGE signaling pathway.