ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective To explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. Methods A retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. Results A total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=3.776, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.

Objective To quantify the association between obesity and erectile dysfunction (ED) risk through a meta-analysis. Methods Following PRISMA guidelines, systematic searches of Chinese and English databases (up to March 2025) were conducted to include observational studies (cohort, cross-sectional, case-control). Adjusted effect sizes (OR and 95% CI) were extracted. Study quality was assessed using the Agency for Healthcare Research and Quality(AHRQ) scale, and a random-effects model was applied to pool effect sizes. Subgroup analyses (geographic region, obesity definitions) and sensitivity analyses were performed to validate robustness. Results Ten studies (n=230 744), including nine cross-sectional studies, were included. The meta-analysis revealed that obesity significantly increased ED risk (random-effects OR=1.80, 95% CI: 1.29-2.51), with high heterogeneity (I2=99.9%). Subgroup analyses indicated stronger associations in USA populations (OR=2.10, 95% CI: 1.23-3.60) than in Chinese populations (OR=1.16, 95% CI: 1.05-1.28). The highest effect size was observed when using BMI≥25 kg/m3 as the obesity threshold (OR=3.05, 95% CI: 2.06-4.51). Sensitivity analyses confirmed robust results (OR: 1.60-1.94 after excluding any single study). Conclusions Obesity is a critical risk factor for ED, with effect strength influenced by geographic region and obesity definitions. Interventions targeting BMI≥30 kg/m2 in Western populations and metabolic risks at BMI≥25 kg/m3 in Asian populations are recommended.

Acute-on-chronic liver failure has complex conditions， rapid progression， and a high mortality rate， and further studies are still needed to clarify its pathogenesis and etiology. The establishment of animal models for acute-on-chronic liver failure can not only provide a good basis for exploring the pathogenesis of acute-on-chronic liver failure， but also provide an experimental basis for clinical treatment. Through a literature review， this article summarizes the methods commonly used to establish the animal models of acute-on-chronic liver failure， including carbon tetrachloride combined with LPS/GaIN， thioacetamide combined with LPS， serum albumin， and bile duct ligation. This article analyzes the characteristics of various animal models， so as to provide documentary and experimental bases for further exploration of more ideal animal models.

BACKGROUND:In consideration of the food safety and ecological safety of transgenic plants,the retention of marker genes is the primary safety issue affecting transgenic plants. OBJECTIVE:Based on the principle of immune caries prevention,our research team successfully constructed the plant anti-caries vaccine fusion gene expression vector pCAMBIA-E8-APB-DOCK8 for these two caries causing virulence factors surface protein and glucosyltransferase,which provides a basis for the research and development of transgenic plant vaccine. METHODS:In this study,the selective marker genes Km and GUS in the plant caries vaccine fusion gene expression vector pCAMBIA-E8-APB-DOCK8 were removed by DNA recombination technology through a series of steps such as DNA fragment separation,connection,transformation,clone detection,and sequencing. RESULTS AND CONCLUSION:The efficiency of marker gene removal was 99%.This study has laid a good experimental foundation for the safe production of transgenic plant vaccine against dental caries,and also provided ideas for the construction of other plant vaccine vectors.

Objective To analyze the incidence of prehypertension (PHTN) and hypertension of male workers in a coal mine and investigate the influencing factors. Methods A total of 10 155 male workers in a coal mine in Shanxi Province were selected as the study subjects using the judgment sampling method. Occupational medical examination was carried out to examine the prevalence of abnormal blood pressure (including PHTN and hypertension) and its influencing factors. Results The prevalence of abnormal blood pressure was 69.9%, with a PHTN prevalence of 44.2% and a hypertension prevalence of 25.7%. The results of multinomial logistic regression analysis showed that the risk of PHTN and hypertension increased with age, drinking frequency and body mass index (all P<0.05). Workers with a pulse rate≥100 times/min had a higher risk of PHTN and hypertension than those with a pulse rate of 60-100 times/min (all P<0.05). The risk of PHTN and hypertension in workers exposed to noise, silica dust or other dust was higher than those without such occupational hazard exposure (all P<0.05). The risk of hypertension in workers with abnormal blood glucose was higher than that in workers with normal blood glucose (P<0.05). Exposure to organic solvents was associated with a higher risk of hypertension (P<0.05). Conclusion The prevalence of PHTN and hypertension among male coal miners in this mine is relatively high. The individual factors such as age, alcohol consumption, pulse rate, and body mass index, along with occupational exposure factors such as noise, silica dust, and other dusts, are influencing factors for PHTN and hypertension.

Herpesvirus encephalomyelitis is an infectious disease of the central nervous system,and there are rare cases of herpesvirus encephalitis comorbid with myelitis.This article reports a case of herpesvirus encephalomyelitis with the main symptom of myelitis,as well as other symptoms of headache,immobility of both lower limbs,and dysurea.Related clinical data and diagnosis and treatment processes are analyzed,and a literature review was performed to improve the understanding of this disease among clinicians.

Objective:To explore the risk factors related to death in patients with tuberculosis complicated with sepsis in an intensive care unit, in order to provide reference for the clinical treatment of patients with tuberculosis complicated with sepsis.Methods:A retrospective case-control study was conducted to collect the general clinical data of 384 patients with tuberculosis complicated with sepsis in intensive care unit of Public Health Clinical Center of Chengdu from March 2020 to November 2022. Multivariate logistic regression model was used to analyze independent risk factors for death in patients with tuberculosis complicated with sepsis.Results:Among 384 patients with tuberculosis complicated with sepsis, the 28-day mortality rate was 43.2%(166/384). Multivariate logistic regression analysis showed that age ≥60 years old (odds ratio ( OR)=1.924, 95% confidence interval ( CI) 1.033 to 3.585, P=0.039), body mass index (BMI) <18.5 kg/m 2 ( OR=4.496, 95% CI 2.242 to 9.016, P<0.001), acute physiology and chronic health evaluation (APACHE) Ⅱ ≥20 points ( OR=2.133, 95% CI 1.093 to 4.162, P=0.026), blood urea nitrogen-to-albumin ratio>5.945 mg/g ( OR=20.886, 95% CI 10.883 to 40.084, P<0.001) and septic shock ( OR=6.137, 95% CI 2.852 to 13.209, P<0.001) were independent risk factors for death in patients with tuberculosis complicated with sepsis in intensive care unit. Conclusions:Age≥60 years old, BMI<18.5 kg/m 2, APACHE Ⅱ≥20 points, blood urea nitrogen-to-albumin ratio>5.945 mg/g and septic shock are independent risk factors for the death in patients with tuberculosis complicated with sepsis. Early attention should be paid to these patients and cluster therapy should be started as soon as possible in order to shorten the disease process, and to improve the prognosis and reduce mortality.

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*