Objective: To analyze the spatio-temporal distribution of pulmonary tuberculosis (PTB) among students in Suzhou City, Jiangsu Province from 2015 to 2023, so as to provide the evidence for the prevention and control of PTB in schools. Methods: Data of PTB cases among students in Suzhou City from 2015 to 2023 were collected from Chinese Disease Prevention and Control Information System and Suzhou Report of Investigation and Disposal of Tuberculosis in Schools. The seasonal incidence of PTB among students was analyzed using seasonal index (SI). The spatio-temporal clustering characteristics of PTB among students were analyzed using spatial autocorrelation and retrospective spatio-temporal permutation scanning. Results: Totally 1 374 PTB cases among students were reported in Suzhou City from 2015 to 2023. PTB cases were reported in each month, and the SIs were 100.69%, 124.38%, 108.98%, 135.04%, 106.61% and 106.61% in April, May, July, September, October and November, respectively, indicating the prevalence of PTB among students. Spatial autocorrelation analysis showed there was a positive spatial correlation of PTB among students in 2019 and 2020 (Moran's I=0.053 and 0.089, both P<0.05). From 2015 to 2023, there were high-high clustering sites mainly in Hengtang Street and Shishan Street. Retrospective spatio-temporal permutation scanning showed a primary cluster in Hengtang Street, with aggregation time in 2017, and 6 secondary clusters covering 25 towns (streets). Conclusion From 2015 to 2023, the PTB cases among students in Suzhou City were mainly concentrated in summer and autumn, and were predominantly clustered in Hengtang Street and Shishan Street.

Objective: To analyze the relationship between the risk of tuberculosis outbreaks in schools and the visit interval of index cases, so as to provide a scientific reference for predicting the risks of tuberculosis outbreak and making preventive measures. Methods: A total of 630 index cases from school tuberculosis outbreaks were studied during January, 2015 to December, 2022. Data on demographics, consultation history, etiological diagnosis, and methods of detection were collected. Restricted Cubic Splines (RCS), unconditional Logistic regression, and the receiver operating characteristic curve (ROC curve) were used for analysis. Results: The RCS fitted curve showed that the risk of a tuberculosis outbreak linearly increased when the consultation interval for etiologically negative patients exceeded 5.79 days, or for etiologically positive patients exceeded 8.37 days. After multi factor adjustment, for every additional day in the visit interval of the index case, the odds ratio ( OR ) value for a high risk outbreak was 1.10 (95% CI =1.07-1.13)( P <0.05). When analyzed by tertiles of visit intervals, compared to an interval of <14 days, the OR values (95% CI ) for high risk outbreaks in schools with intervals of 14-<28 days and ≥28 days were 10.32(3.04-35.10) and 82.58( 28.42 -239.95), respectively( P <0.01), indicating a trend of increasing outbreak risk with longer visit intervals. Based on the ROC curve analysis, the optimal threshold for predicting a high risk school tuberculosis outbreak was 23.5 days, with an area under the curve ( AUC ) of 0.93 (95% CI =0.89-0.98). Conclusion An extended visit interval of index cases is a good early warning indicator for high risk tuberculosis outbreaks in schools and could be considered a key factor in early intervention and risk control strategies.

Acute kidney injury (AKI) is a devastating complications of end-stage of liver disease (ESLD), seriously affecting the prognosis of patients. With the deepening understanding of the pathogenesis, the definition, staging, diagnosis and treatment of ESLD with AKI have been gradually optimized. This article reviews the evolution of definition, pathogenesis, diagnosis and treatment of ESLD with AKI, to provide reference for early recognition, precise diagnosis and standardized treatment of this condition.

Objective To investigate the risk factors for portopulmonary hypertension(POPH)in liver cirrhosis,and to construct a noninvasive predictive model.Methods A retrospective analysis was performed for the clinical data of 310 cirrhotic patients with portal hypertension who were hospitalized in The Third Affiliated Hospital of Hebei Medical University from January 2013 to August 2022,and according to whether pulmonary artery systolic pressure was≥40 mmHg on ultrasound,the patients were divided into POPH group with 31 patients and non-POPH group with 279 patients.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.A binary Logistic regression analysis was used to determine the independent risk factors for POPH,and a nomogram prediction model was constructed.The Bootstrap resampling method was used for internal validation,and C-index and calibration curve were used to assess the discriminatory ability and consistency of the model.The rms package was used to plot the nomogram.Results Compared with the non-POPH group,the POPH group had a significantly younger age,a significantly higher proportion of women or patients with hepatic encephalopathy or Child-Pugh class C disease,and significantly higher levels of direct bilirubin,Model for End-Stage Liver Disease score,albumin-bilirubin(ALBI)score,international normalized ratio,prothrombin time,FIB-4 index,LOK score,and Forns index,as well as significantly lower levels of serum albumin,alanine aminotransferase,gamma-glutamyl transpeptidase,hemoglobin,total cholesterol,and triglycerides(all P<0.05).The multivariate analysis showed that sex(odds ratio[OR]=0.172,95%confidence interval[CI]:0.064-0.462,P<0.001),age(OR=0.944,95%CI:0.901-0.989,P=0.016),ALBI score(OR=3.091,95%CI:1.100-8.687,P=0.032),and hepatic encephalopathy(OR=3.466,95%CI:1.331-9.031,P=0.011)were independent risk factors for POPH.A predictive model for POPH in liver cirrhosis was established based on the above independent risk factors,with a C-index of 0.796(95%CI:0.701-0.890),suggesting that the model had good discriminatory ability,and the calibration curve showed that the model had good calibration ability,suggesting that the model had certain predictive efficacy.Conclusion Young female individuals,elevated ALBI score,and comorbidity with hepatic encephalopathy are independent risk factors for POPH in patients with liver cirrhosis,and the predictive model established based on these factors has a certain clinical application value.

Background::In the clinic, practitioners encounter many patients with an abnormal pattern of dense punctate magnetic resonance imaging (MRI) signal in the basal ganglia, a phenomenon known as "cheese sign". This sign is reported as common in cerebrovascular diseases, dementia, and old age. Recently, cheese sign has been speculated to consist of dense perivascular space (PVS). This study aimed to assess the lesion types of cheese sign and analyze the correlation between this sign and vascular disease risk factors.Methods::A total of 812 patients from Peking Union Medical College Hospital (PUMCH) dementia cohort were enrolled. We analyzed the relationship between cheese sign and vascular risk. For assessing cheese sign and defining its degree, the abnormal punctate signals were classified into basal ganglia hyperintensity (BGH), PVS, lacunae/infarctions and microbleeds, and counted separately. Each type of lesion was rated on a four-level scale, and then the sum was calculated; this total was defined as the cheese sign score. Fazekas and Age-Related White Matter Changes (ARWMC) scores were used to evaluate the paraventricular, deep, and subcortical gray/white matter hyperintensities.Results::A total of 118 patients (14.5%) in this dementia cohort were found to have cheese sign. Age (odds ratio [OR]: 1.090, 95% confidence interval [CI]: 1.064-1.120, P <0.001), hypertension (OR: 1.828, 95% CI: 1.123-2.983, P = 0.014), and stroke (OR: 1.901, 95% CI: 1.092-3.259, P = 0.025) were risk factors for cheese sign. There was no significant relationship between diabetes, hyperlipidemia, and cheese sign. The main components of cheese sign were BGH, PVS, and lacunae/infarction. The proportion of PVS increased with cheese sign severity. Conclusions::The risk factors for cheese sign were hypertension, age, and stroke. Cheese sign consists of BGH, PVS, and lacunae/infarction.

Hepatocellular carcinoma is one of the most common malignant tumors in the world, which is a serious threat to human health. HBV infection is one of the most common causes of hepatocellular carcinoma.The diagnosis of most hepatocellular carcinoma has progressed to the middle and late stage, and the prognosis is poor. Early detection, diagnosis and treatment are important supports to improve the clinical outcome of hepatocellular carcinoma. In recent years, scholars at home and abroad have established various hepatocellular carcinoma risk prediction models, which are conducive to improving the early diagnosis rate of hepatocellular carcinoma and reducing the mortality rate. This article reviews the risk factors and risk prediction models of chronic hepatitis B associated hepatocellular carcinoma, in order to provide reference for HBV-associated liver cancer risk monitoring and management decision.

Objective To investigate the application of low-dose computed tomography virtual colonoscopy(LDCTVC)in colorec-tal tumor.Methods Forty-seven colorectal tumor were given low-dose CT abdominal scan(low-dose group),15 patients with normal body mass index(BMI)who received routine-dose CT abdominal scan at the same period(routine-dose group).Volume CT dose index(CTDIvol),dose length product(DLP),virtual colonoscopy and optical colonoscopy results were recorded.Results The effective dose with normal BMI was(2.86±0.47)mSv and(4.87±1.15)mSv in the low-dose and routine-dose groups,respectively.The CTDIvol and DLP between the two groups were statistically significant(P＜0.05).There were 14 cases of true positive,4 cases of false positive,5 cases of false negative and 24 cases of true negative in the low-dose group.The sensitivity,specificity and Kappa value of LDCTVC in the diagnosis of colorectal mucosal lesions were 73.7％,85.7％,and 0.6.Conclusion LDCTVC can reduce the effective dose by 50％and has a good diagnostic value for colorectal mucosal lesions,which can make up for the deficiency of colonoscopy and make accurate judgment of extra-mucosal lesions of the bowel wall.

Objective:To report a case of Kufor-Rakeb syndrome caused by novel ATP13A2 mutation, collect the cases related to ATP13A2 gene mutation published in recent years, summarize the clinical manifestations of the disease, and broaden the clinical diagnostic thinking. Methods:The clinical manifestations of a newly diagnosed patient with Kufor-Rakeb syndrome caused by ATP13A2 gene mutation admitted to Zhongda Hospital, Southeast University on November 26, 2021, were summarized. The related cases of ATP13A2 mutation published from January 2000 to December 2021 were searched through the PubMed and CNKI databases using the keywords "ATP13A2" and "Parkinson′s disease". The onset age, clinical symptoms, family history, genetic testing, and levodopa responsiveness results of the patients were collected. Results:The patient is a 52-year-old female with the main clinical symptoms of static tremor and bradykinesia. Physical examination showed a gear like increase in muscle tension in the right upper limb, involuntary shaking of the right hand and slow movement. She had good responsiveness to levodopa, and the magnetic resonance imaging and susceptibility weighted imaging of the head showed a lack of clear observation of bilateral black matter swallowtail sign. Whole exome sequencing showed that mutations c.3010A>G (p.S1004G) and c.1195+5G>A (splice) were found in the ATP13A2 gene, both of which were not reported. The c.3010A>G (p.S1004G) mutation originated from the mother, and the c.1195+5G>A (splice) mutation originated from the father. In the retrospective literature review, a total of 10 cases were collected, with onset ages ranging from 18 months to 24 years. Among them, 4/10 patients′ parents married close relatives, and the clinical manifestations were mainly motor symptoms of Parkinson′s disease. In addition, 5/10 patients had cognitive dysfunction, and 3/10 patients had mental symptoms. And demonstrations of most patients′ magnetic resonance imaging were normal in the early stage of the disease, and as the disease progressed, some patients′ imaging results showed specific changes, such as whole brain atrophy and changes in the corpus callosum. Meanwhile, 8/10 patients showed good responsiveness to levodopa. Conclusions:Kufor-Rakeb syndrome is a special type of adolescent levodopa responsive Parkinson′s disease caused by ATP13A2 mutation, which is an autosomal recessive disorder. In addition to motor symptoms such as static tremor and bradykinesia, its clinical manifestations may also be accompanied by non motor symptoms such as cognitive and psychiatric disorders. The disease responds well to treatment with levodopa.

Hepatic venous pressure gradient (HVPG) is the "gold standard" for the diagnosis of portal hypertension, which could be applied in the evaluation of liver cirrhosis. Combined use of HVPG with model for end-stage liver disease (MELD) scoring system may more accurately match the donors and recipients undergoing liver transplantation for liver cirrhosis, select the appropriate timing of surgery, and provide guidance for bridging treatment for patients on the waiting list for liver transplantation. Besides, HVPG may also predict clinical prognosis of liver transplant recipients, and provide evidence for early detection and intervention of potential complications. Therefore, the value of HVPG in preoperative evaluation and prognosis prediction of liver transplant recipients was reviewed, aiming to provide guidance for clinical diagnosis and treatment of liver transplant recipients before and after surgery.

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.