Objective:To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.Methods:Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model.Results:The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists.Conclusion:The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

Objective:To propose a novel refined subtyping of Neer type Ⅵ proximal humerus fracture-dislocation and explore its clinical application.Methods:A retrospective study was conducted to analyze the data of 36 patients who had been admitted to Department of Orthopaedics, Beijing Friendship Hospital between January 2018 and December 2022 for surgical treatment with proximal humeral internal locking system (PHILOS) for Neer type Ⅵ proximal humerus fracture-dislocation. There were 25 males and 11 females with an age of (46.1±4.7) years. According to the fracture-dislocation and the separation between the humeral head and the stem, the patients with Neer type Ⅵ proximal humerus fracture-dislocation were further subdivided into 3 subtype groups (known as STAB subtypes): subtype-T group (dislocation of the shoulder joint with macro-capitellar fracture, n=14), subtype-A group (proximal humerus fracture-dislocation without separation of the humeral head from the humeral stem, n=12), and subtype-B group (dislocation of the proximal humerus fracture with separation of the humeral head from the humeral stem, n=10). STAB subtyping was performed on the same imaging data from all the patients at admission and 2 weeks later by 4 surgeons with different qualifications. Interobserver and intraobserver agreements of the STAB typing were verified. The operation time, fracture healing time, visual analogue scale (VAS) pain score, Constant-Murley score, and complications were recorded for patients in the 3 subtype groups. Results:The differences in the preoperative general data were not statistically significant between the 3 subtype groups, indicating comparability ( P>0.05). All patients were followed up for (11.2±4.2) months. The inter-observer and intra-observer Kappa values for STAB subtyping were 0.94 and 0.95, respectively. For subtype-T group, subtype-A group, and subtype-B group, respectively, the operation time was (68.9±5.6) min, (90.0±5.2) min, and (113.0±9.2) min; the fracture healing time was (9.0±0.8) weeks, (10.3±1.2) weeks, and (11.8±0.9) weeks; the VAS scores at the last follow-up were 1.0(1.0, 2.0) points, 2.0(1.0, 2.0) points, 2.0(2.0, 3.0) points; the Constant-Murley scores at the last follow-up were (83.6±2.8) points, (74.5±3.0) points, and (62.7±5.5) points. The differences between the 3 subtype groups in the above items were statistically significant ( P<0.05). The overall success rate of closed reduction was 61.1% (22/36). In subtype-T, subtype-A, and subtype-B groups, respectively, the number of patients with successful closed reduction was 13, 7, and 2, while complications occurred in 2, 3, and 6 patients. The differences in closed reduction and complications among the 3 groups were statistically significant ( P<0.05). Conclusions:The STAB subtyping proposed in this study demonstrates strong intra- and inter-group consistency. Because the refined STAB subtyping can reveal differences among all the Neer type Ⅵ proximal humeral fractures and dislocations, it may provide more precise guidance for personalized clinical decision-making.

Objective To exploring the effect of human amniotic mesenchymal stem cells(hAMSCs)on the re-pair of rat uterine scars.Methods The hAMSCs were isolated and cultured,Female SPF grade SD rats were selected for full-thickness incision of uterine wall and then implanted with hAMSCs.On the 30th day after op-eration,the uterine incision was examined histologically.ImageJ image analysis software was used to analyze and to compare the thickness of uterine myometrium and the percentage of fibrotic area in each group.Immuno-histochemical method was used for detecting the percentage of positive areas of α-SMA,TGF-β1,and Ki-67.Results Compared with the PBS group,the hAMSCs group showed significant thickening of the uterine mus-cle layer and fibrotic area was decreased,The positive expression of α-SMA,and Ki-67 significantly increased(P＜0.05),while the expression of TGF-β1 was significantly reduced(P＜0.05).Conclusions The hAMSCs may promote the repair of uterine incision scars by reducing the formation of scar fibrosis and promoting the proliferation of smooth muscle cells in uterine scars.

Sarcomatoid carcinoma of the renal pelvis is rare. One case of sarcomatoid carcinoma of the left renal pelvis was reported. The patient was diagnosed as sarcomatoid carcinoma of left pyelonephrosis by left percutaneous nephrolithotripsy (PCNL) and biopsy of left pyelonephrosis in another hospital due to left lumbar pain.The patient came to our hospital for laparoscopic left hemiculturectomy and was pathologically diagnosed as left renal pelvic sarcomatoid carcinoma. The patient suffered left retroperitoneal recurrence and bilateral lung metastasis 7 months after surgery and died of cachexia 10 months later.

Background Phenolic compounds may adversely affect human health, but the current relevant studies are mostly limited to the impact of single phenolic compound exposure on human health, and there is still a lack of studies on the population-based association between combined exposure to multiple common phenolic compounds and dyslipidemia. Objective To explore the association of phenolic compound combined exposure and dyslipidemia based on principal component analysis-random forest (PCA-RF) strategy. Methods The data were from the National Health and Nutrition Examination Survey (2013–2016). A total of 1301 adult residents aged ≥ 20 years with complete information on demographics and lifestyle, urine phenol concentrations (bisphenol A, bisphenol F, bisphenol S, triclocarban, benzophenone, and triclosan), and serum concentrations of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were included in this study. The concentrations of six urinary phenolic compounds were determined by solid phase extraction coupled with high performance liquid chromatography and tandem mass spectrometry, and the lipid indicators were determined by enzymatic methods. Principal component analysis combined with random forest model was used for model construction. First, principal component analysis was performed on 18 original variables including 6 phenolic compounds and 12 basic characteristic indicators, and then random forest model was established with dyslipidemia and its four evaluation indicators as dependent variables and the extracted principal components as independent variables, respectively. Results The PCA-RF analysis showed that bisphenol A, bisphenol F, and benzophenone may be important factors for dyslipidemia in the study subjects; bisphenol A, bisphenol F, and triclosan may be important factors for TC level in the study subjects; bisphenol A, bisphenol F, triclocarban, and benzophenone may be important factors for TG level in the study subjects; bisphenol A may be an important factor for LDL-C level in the study subjects; bisphenol F and benzophenone may be important factors for HDL-C level in the study subjects. Conclusion Phenolic compound exposure may be an important risk factor for the development of dyslipidemia. PCA-RF strategy can be effectively used to explore the association between phenolic compound exposure and dyslipidemia in the population.

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.

Objective:To investigate the relationship between age-adjusted Charlson comorbidity index (aCCI) and ischemic stroke in patients with ophthalmic artery occlusion (OAO) or retinal artery occlusion (RAO).Methods:A single center retrospective cohort study. Seventy-four patients with OAO or RAO diagnosed by ophthalmology examination in Shenzhen Second People's Hospital from June 2004 to December 2020 were included in the study. The baseline information of patients were collected and aCCI was used to score the patients' comorbidity. The outcome was ischemic stroke. The median duration of follow-up was 1 796.5 days. According to the maximum likelihood ratio of the two-piecewise COX regression model and the recursive algorithm, the aCCI inflection point value was determined to be 6, and the patients were divided into low aCCI group (<6 points) and high aCCI group (≥6 points). A Cox regression model was used to quantify the association between baseline aCCI and ischemic stroke.Results:Among the 74 patients, 53 were males and 21 were females, with the mean age of (55.22±14.18) (19-84) years. There were 9 patients of OAO and 65 patients of RAO. The aCCI value ranges from 1 to 10 points, with a median of 3 points. There were 63 patients (85.14%, 63/74) in the low aCCI group and 11 patients (14.86%, 11/74) in the high aCCI group. Since 2 patients could not determine the time from baseline to the occurrence of outcome events, 72 patients were included for Cox regression analysis. The results showed that 16 patients (22.22%, 16/72) had ischemic stroke in the future. The baseline aCCI in the low aCCI group was significantly associated with ischemic stroke [hazard ratio ( HR)=1.76, 95% confidence interval ( CI) 1.21-2.56, P=0.003], and for every 1 point increase in baseline aCCI, the risk of future ischemic stroke increased by 76% on average. The baseline aCCI in the high aCCI group had no significant correlation with the ischemic stroke ( HR=0.66, 95% CI 0.33-1.33, P=0.247). Conclusions:aCCI score is an important prognostic information for patients with OAO or RAO. A higher baseline aCCI score predicts a higher risk of ischemic stroke, and the association has a saturation effect.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

Objective: To investigate the origin of infection and risk factors of a case with SARS-CoV-2 infection associated with overseas countries in the Ningbo-Zhoushan Port, Zhejiang Province, so as to provide the evidence for improving the COVID-19 control measures at ports. Methods: Ningbo Center for Disease Control and Prevention ( CDC ) and Beilun CDC conducted case finding and epidemiological surveys immediately after being informed. The general information, history of vaccination and the travel during the latest 14 days were collected from the positive case, and all close contacts were tracked. Saliva samples were collected for SARS-CoV-2 nucleic acid testing and whole-genome sequencing, and the sequencing results were aligned with the GISAID's EpiCoV database. The origin of infection and transmission route of the positive case was investigated. Results: A case was identified positive for SARS-CoV-2 nucleic acid during company M's routine screening in the Ningbo-Zhoushan Port on August 10, 2021, and was confirmed positive for SARS-CoV-2 nucleic acid by Beilun CDC and Ningbo CDC on August 11. Whole-genome sequencing showed SARS-CoV-2 B.1.617.2 ( Delta ) variant, which shared the highest homology with the virus sequence uploaded by Russia on June, 2021 ( Russia/MOW-RII-MH27356S/2021 ). The case was a bundling worker for overseas container ships, and reported communicated with foreign boatmen and contacted materials without protected interventions on the SINOKOR AKITA Container Ship between August 4 and 5, 2021. This ship anchored at Vladivostok, Russia from July 27 to 29, anchored at Ningbo Harbor on August 4, and departed on August 5. Then, 11 boatmen from this ship were tested positive for SARS-CoV-2 nucleic acid on August 8. One asymptomatic case was reported in this epidemic; 254 close contacts and 617 secondary close contacts were identified, and all were tested negative for SARS-CoV-2 nucleic acid. No new cases with SARS-CoV-2 infections were detected until August 25, 2021, and the emergency response was therefore terminated. Conclusions The infection was a sporadic COVID-19 epidemic associated with overseas countries, which was caused by Delta variant infection through contacts with foreign boatmen or materials by a bundling worker in Ningbo-Zhoushan Port; fortunately, no epidemic spread occurred. Intensified closed-loop management and increased frequency of SARS-CoV-2 nucleic acid test among high-risk populations, and improving the precision and rapid emergency treatment of COVID-19 epidemics are required for the containment of COVID-19 at ports.

Objective:To investigate the diagnostic value of chest enhanced computed tomography (CT) for mediastinal lymph node metastasis of esophageal cancer and the influencing factors for its accuracy.Methods:The retrospective case-control study was conducted. The clinico- pathological data of 463 patients with esophageal cancer who underwent surgical treatment in the First Affiliated Hospital of Army Medical University from July 2016 to June 2021 were collected. There were 385 males and 78 females, aged (61±8)years. Observation indicators: (1) results of pre-operative chest enhanced CT and postoperative pathological examination; (2) diagnostic value of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer; (3) influencing factors analysis of the diagnostic accuracy of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer. Measurement data with normal distribution were represented as Mean± SD, and count data were represented as absolute numbers and (or) percentages. Sensitivity, specificity, positive predictive value, negative predictive value and Youden index were used for authenticity evaluation of diagnostic value of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer, and accuracy and Kappa value were used for reliability evaluation. The higher the value of above indicators, the higher the authenticity and (or) reliability. The univariate analysis was conducted using the chi-square test, and multivariate analysis was conducted using the binary Logistic regression model after including indicators with P<0.20 of univariate analysis. Results:(1) Results of preoperative chest enhanced CT and postoperative pathological examination. Of the 463 patients with esophageal cancer, mediastinal lymph node metastasis were diagnosed in 90 cases (including 35 cases of true positive and 55 cases of false positive) and no mediastinal lymph node metastasis were diagnosed in 373 cases (including 300 cases of true negative and 73 cases of false negative) by preoperative chest enhanced CT. Mediastinal lymph node metastasis were diagnosed in 108 cases and no mediastinal lymph node metastasis were diagnosed in 355 cases by postoperative patholo-gical examination. (2) Diagnostic value of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer. Authenticity evaluation of diagnostic value of chest enhanced CT for medias-tinal lymph node metastasis of esophageal cancer showed that sensitivity, specificity, positive predic-tive value, negative predictive value and Youden indexes were 32.41%(35/108), 84.51%(300/355), 38.89%(35/90), 80.43%(300/373), 0.169, respectively. Reliability evaluation showed that accuracy and Kappa value were 72.35%(335/463) and 0.180 ( P<0.05), respectively. (3) Influencing factors analysis of the diagnostic accuracy of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer. Results of univariate analysis showed that the tumor diameter and the depth of tumor invasion were related factors affecting the diagnostic accuracy of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer ( χ2=7.65, 6.07, P<0.05). Results of multi-variate analysis showed that the tumor diameter ≥2.1 cm was an independent risk factor affecting the diagnostic accuracy of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer ( odds ratio=2.05, 95% confidence interval as 1.23?3.43, P<0.05). Conclusions:The clinical value of chest enhanced CT for diagnosing mediastinal lymph node metastasis of esophageal cancer is limited, and the consistency with pathological results is quite different. The tumor diameter ≥2.1 cm is an independent risk factor affecting the diagnostic accuracy of chest enhanced CT for mediastinal lymph node metastasis of esophageal cancer