Objective To evaluate the effectiveness of schistosomiasis surveillance in Jiangsu Province during the stage moving from transmission control to transmission interruption, and to analyze the current risk and challenges, so as to provide the evidence for achieving the target of schistosomiasis elimination. Methods Schistosomiasis surveillance data were collected from Jiangsu Province from 2012 to 2024, and the endemic areas, Schistosoma japonicum infections in humans and livestock, Oncomelania hupensis snail distribution and implementation of integrated interventions were descriptively analyzed. In addition, the trends in areas with snails, seroprevalence of human S. japonicum infections and numbers of advanced schistosomiasis cases were assessed using a Joinpoint regression model. Results The endemic areas of schistosomiasis continued to shrink in Jiangsu Province from 2012 to 2024, with the number of schistosomiasis-eliminated counties (cities, districts) increasing from 53 (75.71%) to 63 (96.92%), and interruption of schistosomiasis transmission was achieved across the province. A total of 4 600 300 person-times were tested for serum antibodies against S. japonicum, with 28 719 person-times positive detected; and 616 500 person-times were tested S. japonicum infections among local residents in Jiangsu Province from 2012 to 2024, with only 3 egg-positives detected, and no egg-positives found since 2017. A total of 187 600 herd-times were tested for schistosomiasis in livestock, and no S. japonicum infections were found. O. hupensis snail survey was performed covering 1 018 408.97 hm², and a total of 35 556.35 hm² was found with snail-infested habitats, including 174.40 hm2 of emerging snail-infested habitats. A total of 1 102 800 O. hupensis snails were identified for S. japonicum infections, and no infections were found. The areas of snail-infested habitats appeared a tendency towards a rise in Jiangsu Province from 2019 to 2023 (APC = 23.67%, P < 0.05), and the actual areas of snail-infested habitats appeared a tendency towards a decline from 2012 to 2015 (APC = −22.77%, P < 0.05), and towards a rise from 2015 to 2023 (APC = 9.76%, P < 0.01). The seroprevalence of anti-S. japonicum antibodies appeared a tendency towards a decline among residents in Jiangsu Province from 2017 to 2023 (APC = −14.92%, P < 0.01). In addition, the number of newly diagnosed advanced schistosomiasis cases appeared a tendency towards a decline from 2012 to 2024 (APC = −12.02%, P < 0.01), and the numbers of advanced schistosomiasis patients requiring treatment showed a tendency towards a decline from 2012 to 2021 (APC = −10.56%, P < 0.01) and from 2021 to 2023 (APC = −20.06%, P < 0.01). Conclusions Great progresses had been achieved in schistosomiasis control in Jiangsu Province following transmission control, and transmission interruption had been achieved; however, there are still snail-infested habitats. High-intensity surveillance and integrated control are required to be maintained to advance the achievement of the target of schistosomiasis elimination in Jiangsu Province.

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Endoscopic full-thickness resection (EFTR) is a minimally invasive technique that is increasingly used for gastrointestinal stromal tumors (GISTs) originating from the muscularis propria. Despite its advantages over conventional surgery, such as complete tumor resection and faster recovery, EFTR faces challenges related to its efficacy, safety, and feasibility, particularly in gastric GISTs. By summarizing the literature published over the past decade, this review provides a comprehensive overview of the clinical outcomes of EFTR and the evolution of defect closure devices.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

Objective: To investigate the effects of high intensity interval training (HIIT) on mental health and sleep quality in female college students with normal weight obesity, so as to provide a reference for promoting their physical and mental health. Methods: From September to November 2024, 42 female college students who met the criteria for normal weight obesity were recruited from Anqing Medical College and randomly assigned to an HIIT group ( n =21) or a control group ( n =21) using a random number table. The HIIT group completed an 8 week intervention (3 sessions/week) at 75%-90% of maximum heart rate (HR max ), whereas the control group maintained their usual lifestyle. Before and after the intervention, body composition was measured, and anxiety, depressive symptoms, and sleep quality were assessed using the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Pittsburgh Sleep Quality Index (PSQI), respectively. Statistical analysis included t-test, two way mixed analysis of variance, simple effect analysis, Wilcoxon signed rank test，Mann-Whitney U test, Pearson product moment correlation analysis, and Fisher s Z-transformation test. Results: Before the intervention, there were no statistically significant differences between the HIIT group and the control group in body composition indicators (body weight, body mass index, body fat percentage, visceral fat level, visceral fat area, and waist circumference), psychological indicators (anxiety symptoms and depressive symptoms), and sleep quality problems among female college students (all P >0.05). After the intervention, the above indicators in the HIIT group[（58.53±1.05）kg，（21.93±0.36）kg/m 2，（28.15±0.48）%，（7.31±0.43），（ 78.54± 4.28）cm 2，（75.91± 1.26 ）cm，2(1,3) scores,2(1,4) score,（6.15±1.58）score] all decreased ( F/Z =3.95，12.76，23.65，43.97，19.06，22.04，-3.35， -4.01 ，20.52，all P <0.05), and were all lower than those in the control group ( F/U =4.45， 6.82 ， 52.34 ，28.46，34.25，13.49， 344.0 ，327.0，31.62，all P <0.05).There were no statistically significant differences in the above indicators in the control group before and after the intervention (all P >0.05).Before the intervention, the total score of sleep quality problems in the HIIT group of female college students was positively correlated with the depression symptom score ( r =0.54, P < 0.05 ), while the correlation in the control group was not statistically significant ( r =-0.10, P >0.05). After the intervention, the correlation was strengthened in the HIIT group ( r =0.81, P <0.05), and the strength of the association was greater than that in the control group ( Z =3.50, P <0.05). Conclusion HIIT may improve sleep quality and mental health in female college students with normal weight obesity.

Objective:To explore the types and characteristics of self-management behaviors among stroke patients, as well as to analyze the influencing factors associated with these different types, providing a reference for developing intervention programs aimed at enhancing self-management behaviors in stroke patients.Methods:This study adopted a cross-sectional survey design. The stroke inpatients were selected through convenience sampling from the Department of Neurology at Huashan Hospital, Fudan University between October 2023 and August 2024. Data collection was conducted using the following instruments: the General Information Questionnaire, Stroke Self-Management Behavior Rating Scale, Self-Efficacy for Managing Chronic Disease 6-Item Scale, Stroke Health Knowledge Questionnaire, Social Support Rating Scale, Generalized Anxiety Disorder Scale, Patient Health Questionnaire-9, and the modified Rankin Scale. Stroke patients' self-management behaviors were categorized using systematic cluster analysis, and disordered multi-class Logistic regression was employed to identify the influencing factors associated with each category.Results:Finally, 210 stroke patients were enrolled, there were 148 males and 62 females, aged (60.82 ± 13.05) years. The total score of self-management behavior in stroke patients was (144.18 ± 23.24) points, with a score rate of 56.54%. Systematic cluster analysis identified four distinct self-management behaviors patterns: consistent implementers (25.71%, 54/210); unrealistically optimistic(54.76%, 115/210); optimistically proactive (13.81%, 29/210); and passive and resigned (5.71%, 12/210). Disordered multi-class Logistic regression analysis indicated that higher scores in stroke-related health knowledge were associated with a greater likelihood of being categorized as stable practice type and optimistic proactive type ( OR=1.130, 1.254, both P<0.05). Conversely, increased levels of depression correlate with a higher probability of being classified as passive waiting type ( OR=0.684, 0.722, 0.540, all P<0.05). Additionally, lower modified Rankin Scale scores were linked to an increased tendency to fall into the categories of stable practice type and blind optimism type ( OR=19.759, 23.148, both P<0.05). Conclusions:The self-management behaviors of stroke patients are generally suboptimal and exhibited distinct classification features. Significant differences are observed in stroke health knowledge, depression, and the modified Rankin Scale scores among the four patient types. Healthcare professionals should tailor intervention measures to the characteristics of each type to enhance patients' self-management capacity.

Objective:To construct a prediction model for the risk of sarcopenia in middle-aged and elderly patients with knee osteoarthritis (KOA) based on machine learning, and to provide a basis for carrying out the prevention of sarcopenia in patients with KOA.Methods:Clinical data of KOA patients from three tertiary hospitals in Guangdong Province were collected between December 2023 and September 2024 using a convenience sampling method. The data were randomly split into training and test sets at an 8:2 ratio, with the occurrence of sarcopenia as the outcome variable. Risk prediction models for sarcopenia were constructed using eight machine learning algorithms: logistic regression, K-nearest neighbors, support vector machine, decision tree, neural network, random forest, gradient boosting machine (GBM), and eXtreme gradient boosting. Model performance was evaluated based on metrics including the area under the receiver operating characteristic curve (AUC), accuracy, precision, sensitivity, specificity, and F1 score. The optimal model was selected, and feature importance was visualized using the Shapley Additive exPlanations (SHAP) method.Results:Data from 640 KOA patients were analyzed, 143 males and 497 females, (67.51± 7.72) years, with 136 cases (21.25%) developing sarcopenia. All eight prediction models showed high AUC values, with the GBM model demonstrating the best performance. Its metrics included an AUC of 0.926 (95% CI 0.874 - 0.965), accuracy of 0.852, precision of 0.611, sensitivity of 0.815, specificity of 0.861, and F1 score of 0.698. SHAP analysis identified body mass index, calf circumference, body fat percentage, WOMAC score, and age as the most important predictive features. Conclusions:The GBM-based risk prediction model for sarcopenia in middle- aged and elderly KOA patients demonstrated optimal performance, enabling healthcare professionals to accurately and promptly identify high-risk groups among these patients and to develop effective, evidence-based intervention strategies.

Objective To compare the effects of different detector combinations of 320-row CT on the image quality and radiation dose of head CT to explore the feasibility of using a wide detector for head CT scanning.Methods Totally 100 patients underwent head CT scanning due to trauma or cerebrovascular disease at some hospital from June to August 2023 were collected prospectively and divided into group A and group B by using block randomization grouping method,with the length of the block group being 2 and 50 patients in each group.In group A,all the detectors had the widths at z-axis direction being 40×0.5 mm and head scanning was completed after multiple exposures;in group B,detector combinations with widths of 280×0.5 mm or 320×0.5 mm were chosen based on the patient's head size in the head-foot direction(z-axis direction),and head scanning was performed with a single-turn exposure.The remaining scanning and image reconstruction parameters in the two groups were kept completely consistent.The head image quality of the 2 groups was evaluated objectively and scored subjectively by 2 radiologists.The volume CT dose index(CTDIvol),dose length product(DLP)and exposure time of the 2 groups were recorded,and the effective dose(ED)was calculated.SPSS 22.0 software was used for statistical analysis.Results In terms of objective evaluation of image quality,at the level of the parietal skull group B had the CT value of gray matter,image noise and contrast to noise ratio(CNR)of the images higher than those of group A,and the differences were statistically significant(all P<0.05);at the level of the posterior skull group B had the CT values of gray and white matter,image noise and air noise lower while CNR higher than those of group A,and the differences were statistically significant(all P<0.05).In terms of subjective scoring of image quality,at the levels of parietal and posterior skull group A behaved better than group B,and the differences were statistically significant(all P<0.05).In group A 5 patients had obvious motion artifacts affecting the diagnosis and the image quality scores not higher than 2,and secondary scanning had to be carried out;In group B all the patients had no obvious motion artifacts and met the diagnosis requirements.When compared with group A Group B had the CTDIvol,DLP,ED and exposure time decreased by 17.44%,17.24%,17.48%and 85.53%,respectively,and the differences were statistically significant(all P<0.05).Conclusion A wide detector gains advantages over a 20 mm detector in image quality when 320-row CT is used for head CT scanning,with the diagnosis requirements satisfied.[Chinese Medical Equipment Journal,2025,46(4):57-62]

OBJECTIVE To investigate the role and mechanisms of the soluble guanylate cyclase(sGC)stimulator sGC003 in improving high altitude pulmonary edema(HAPE)in mice.METHODS Mice were randomly assigned to a normal control group,model group,model+dexamethasone 4 mg·kg-1 group(before modeling,intragastric administration of saline was performed once daily for 6 d,followed by intragastric administration of dexamethasone 4 mg·kg-1 on days 7 and 8),model+riociguat 10 mg·kg-1 group(before modeling,intragastric administration once a day for 7 d),and model+sGC003 5 and 10 mg·kg-1 groups(before modeling,intragastric administration once a day for 7 d).All groups except the normal control group received intratracheal instillation of lipopolysaccharide at a dose of 4 mg·kg-11 h after drug administration on day 7,followed by placement in a hypoxic environment to establish the HAPE model.After 24 h of modeling,the expiratory time,end-inspiratory pause,enhanced pause,and breathing frequency were measured,Lung tissue morphology was examined using HE staining,and lung tissue edema was assessed by determining the wet to dry weight ratio(W/D).The level of interleukin-1β(IL-1β)was determined using immunofluorescence staining.The phosphorylation level of vasodilator-stimulated phosphoprotein(VASP)in lung tissue was analyzed by Western blotting.Additionally,levels of sGC,hypoxia inducible factor-1α(HIF-1α),cyclic guanosine monophosphate(cGMP),IL-6,and IL-1βin serum were quantified using ELISA.RESULTS Compared with the normal control group,the model group had obvious pulmonary edema,and the lung W/D,IL-1β levels,expiratory time,end-inspiratory pause,enhanced pause,as well as serum levels of IL-1β,HIF-1α and IL-6 were significantly increased.Concurrently,the frequency of breathing and serum levels of sGC and cGMP were significantly decreased.Compared with model group,the expiratory time,end-inspiratory pause,enhanced pause,lung W/D and IL-1β levels,and serum levels of IL-1β,HIF-1α and IL-6 were significantly decreased in the model+sGC003 10 mg·kg-1 group;while the frequency of breathing,serum sGC and cGMP levels,phosphorylation level of VASP in lung tissues were significantly increased.CONCLUSION sGC003 can improve lung function,suppress pulmonary inflammation,and mitigate pulmonary edema in HAPE mice by activating the sGC/cGMP pathway.

A male patient,51 years old,was diagnosed as follows:① type 2 diabetes mellitus;② grade 2 hypertension(extremely high risk).To improve circulation,the patient was administered pentoxifylline injection 0.2 g mixed with 250 mL of 0.9％sodium chloride injection via an intravenous drip,once daily(qd).After 4 days of treatment,liver function tests showed the following results:alanine aminotransferase(ALT)at 2 390.80 U·L-1,aspartate aminotransferase(AST)at 948.28 U·L-1,and gamma-glutamyltransferase(GGT)at 517.81 U·L-1.It was highly probable that pentoxifylline caused abnormally elevated liver enzymes,with a clear drug-related association.After discontinuing pentoxifylline injection and initiating liver-protecting and en-zyme-lowering treatment,the liver function indicators gradually improved.Enhanced monitoring during the clinical use of pentoxi-fylline is essential to ensure patient safety.