Objective The Nuangong Waifu formula （NGWFF） is a traditional Chinese medicine prescription that has been used in gynecology of traditional Chinese medicine in our hospital for many years. It has a certain effect on preventing postoperative intrauterine re-adhesion. To further retrospectively analyze the clinical efficacy of NGWFF. Methods A total of 200 patients who were diagnosed with intrauterine adhesions and underwent intrauterine adhesion separation from January 2018 to December 2020 were retrospectively included. They were divided into control group and observation group according to different drug use for postoperative prevention of re-adhesion, with 100 cases in each group. All patients were given oral estrogen and progesterone （ethinyl estradiol tablets 0.037 5 mg, q12 h, or estradiol valerate tablets 3 mg, q12 h, a total of 21 days, 7 days after estrogen therapy plus dydrogesterone 20 mg, qd or progesterone capsules 200 mg, qd） to promote endometrial growth. In the control group, 100 patients only used estrogen and progesterone after operation. In the observation group, 100 patients were treated with NGWFF at Guanyuan acupoint （four fingers under the navel）, once a day. Both groups were evaluated for the degree of intrauterine adhesions under hysteroscopy and the effective rate after 3-5 menstrual cycles of drug treatment. Results Compared with using estrogen and progesterone alone, combination use of NGWFF significantly decreased in the scores of intrauterine adhesions under hysteroscopy （2.41±1.19 vs 3.31±1.18, P=0.00）, and the effective rate was also significantly higher than that in the control group （ 86 % vs 47 %, P<0.000）. Conclusion The combination use of NGWFF was more effective than using estrogen and progesterone alone in preventing re-adhesion after intrauterine adhesions， which provided a scientific basis for the clinical application of NGWFF.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective To explore the sleep quality and mental fatigue level in elderly patients with cerebrovascular small disease(CSVD).Methods A total of 222 patients aged over 65 years old hospitalized due to chronic diseases in Department of Neurology of the Affiliated Jiangning Hospi-tal of Nanjing Medical University from August 2022 to June 2024 were recruited prospectively and continuously.According to the CSVD score,they were divided into a CSVD group(CSVD score≥1,148 cases)and a non-CSVD group(CSVD score=0,74 cases).All the patients were evaluated by sleep quality,fatigue and neuropsychological scale when they were fully cooperated and in good condition.Subsequently,the patients in the CSVD group were further assigned into a good sleep subgroup(117 cases)and a poor sleep subgroup(31 patients).Results The CSVD group had significantly higher total score of Pittsburgh sleep quality index(PSQI),sleep quality score,sleep disturbance score,total score of self-rating fatigue,and mental fatigue score than the non-CSVD group(P＜0.01).The sleep quality score,sleep disturbance score,and mental fatigue score were risk factors for CSVD(P＜0.05).The mental fatigue score was significantly higher in the CSVD patients with poor sleep than those with good sleep(4.13±1.15 vs 2.50±1.92,P＜0.01).Conclusion Elderly CSVD patients were more likely to have decreased sleep quality and mental fatigue,and among them,those with poor sleep quality are prone to having mental fatigue than those with good sleep.

Objective:To investigate the relationship between the quick sequential organ failure assessment (qSOFA) score, procalcitonin (PCT), blood lactate, hypersensitive C-reactive protein (hs-CRP) levels, and the prognosis of patients with severe acute pancreatitis (SAP).Methods:This retrospective analysis included 225 pancreatitis cases admitted to the Department of Gastroenterology at Ganzi Tibetan Autonomous Prefecture People's Hospital between February 2020 and February 2025. Patients were categorized into three groups based on severity: SAP group ( n=125), moderately severe acute pancreatitis (MSAP) group ( n=50), and mild acute pancreatitis (MAP) group ( n=50). General patient data, qSOFA scores, PCT, lactate, and hs-CRP levels were compared among the groups. Within the SAP group, patients were further divided into a favorable prognosis group ( n=101) and a poor prognosis group ( n=24) based on 28-day survival. The relationship between qSOFA score, PCT, lactate, hs-CRP, and SAP prognosis was analyzed. Normally distributed continuous data were expressed as Mean±SD. Independent samples t-test was used on comparison between two groups, while one-way ANOVA was used on comparison among multiple groups. LSD test was used on post-hoc pairwise comparison. Categorical data were expressed as n(%) and compared by χ2 test. Spearman correlation analysis assessed the correlation between qSOFA score, PCT, lactate, hs-CRP levels, and acute pancreatitis (AP) severity. Multivariable logistic regression modeling was used for joint prediction, incorporating qSOFA score, serum PCT, lactate, and hs-CRP levels to calculate combined predictive efficacy. The predictive performance of each indicator for prognosis was evaluated using receiver operating characteristic (ROC) curves. The areas under the ROC curves (AUC) were compared using DeLong's test. Results:Significant differences were observed among the MAP, MSAP, and SAP groups for qSOFA score [(0.63±0.29), (1.32±0.37), (1.70±0.33) points], serum PCT [(4.06±0.74), (5.35±0.89), (6.12±0.98) μg/L], lactate [(1.74±0.32), (2.77±0.70), (4.29±1.06) mmol/L], and hs-CRP levels [(15.38±3.75), (27.64±5.09), (35.26±6.42) mg/L] ( F values=187.51, 91.83, 169.18, 223.92, respectively, all P<0.001). The SAP group had significantly higher levels of qSOFA score, serum PCT, lactate, and hs-CRP compared to both the MAP and MSAP groups (all P<0.05), and the MSAP group levels were significantly higher than the MAP group (all P<0.05). The poor prognosis group had significantly higher levels of qSOFA score [(1.92±0.19) points], PCT [(6.65±0.47) μg/L], lactate [(5.14±0.62) mmol/L], and hs-CRP [(40.65±4.73) mg/L] compared to the favorable prognosis group [(1.65±0.25) points, (5.99±0.84) μg/L, (4.09±0.94) mmol/L, (34.16±6.09) mg/L] ( t values=4.96, 3.71, 5.20, 4.88, respectively, all P<0.001). Multivariate logistic regression analysis identified qSOFA score ( OR=14.658, 95% CI: 2.612-82.253), PCT ( OR=2.809, 95% CI: 1.288-6.129), lactate ( OR=3.658, 95% CI: 1.635-8.187), and hs-CRP ( OR=1.168, 95% CI: 1.055-1.293) as independent influencing factors for SAP patient prognosis ( P=0.002, 0.010, 0.002, 0.003, respectively). ROC curve analysis showed that the AUCs for qSOFA score, PCT, lactate, and hs-CRP in predicting poor prognosis in SAP patients were 0.754, 0.856, 0.766, and 0.809, with sensitivities of 87.50%, 83.33%, 83.33%, 85.50%, and specificities of 60.40%, 77.20%, 64.40%, 75.20%, respectively. The combined prediction model yielded an AUC of 0.934, with a sensitivity of 95.80% and specificity of 72.30%. Conclusion:The qSOFA score, PCT, blood lactate, and hs-CRP levels are associated with the severity of AP and possess reference value for predicting the prognosis of SAP patients.

Objective:To investigate the association of monocyte-to-high-density lipoprotein cholesterol ratio (MHR) with the severity of white matter hyperintensities (WMHs) and its spatial distribution.Methods:Patients admitted to the Department of Neurology, Jiangning Hospital Affiliated to Nanjing Medical University due to various chronic diseases or physical examinations between January 2023 and December 2024 were included retrospectively. Past medical history, clinical and imaging data were collected. The Fazekas scale was used to assess the severity of WMHs. According to the scoring results of periventricular WMHs (PVWMHs) and deep WMHs (DWMHs), WMHs were divided into no/mild group (0-1 points) and moderate/severe group (2-3 points). Multivariate logistic regression analysis was used to determine independent correlation factors for the severity of WMHs, PVWMHs, and DWMHs. Results:A total of 357 patients were included, aged 65.42±9.95 years, with 198 males (55.5%). There were 193 patients (54.1%) in the no/mild group and 164 (45.9%) in the moderate/severe group. Univariate analysis showed that the proportion of patients with hypertension, diabetes, history of cerebral infarction and cerebral hemorrhage, carotid plaque, and age, serum creatinine, monocyte count and MHR in the moderate/severe group were significantly higher than those in the no/mild group (all P<0.05). Multivariate logistic regression analysis showed a significant positive correlation between MHR and the severity of WMHs (odds ratio 3.138, 95% confidence interval 1.042-9.451; P=0.042). Further analysis showed a significant positive correlation between MHR and PVWMHs (odds ratio 3.384, 95% confidence interval 1.111-10.305; P=0.032), but no independent correlation with DWMHs. In addition, age and hypertension, diabetes, history of cerebral infarction and cerebral hemorrhage were significantly positively correlated with the severity of WMHs, PVWMHs and DWMHs. Conclusion:MHR is correlated with the severity of WMHs, and higher MHR is significantly associated with PVWMHs, but not with DWMHs.

Objective To analyze the trends in the disease burden of schistosomiasis in China from 1992 to 2021, and to project the disease burden of schistosomiasis in China from 2022 to 2030, so as to provide insights into the elimination of schistosomiasis in China. Methods The prevalence, age-standardized prevalence, disability-adjusted life year (DALYs) rate and age-standardized DALYs rate of schistosomiasis, as well as the years lost due to disability (YLDs) rate and age-standardized YLDs rate of anemia attributable to Schistosoma infections in China, the world and different socio-demographic index (SDI) regions were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources, and the trends in the disease burden due to schistosomiasis were evaluated with estimated annual percentage change (EAPC) and its 95% confidence interval (CI). In addition, the age, period and cohort effects on the prevalence of schistosomiasis were examined in China using an age-period-cohort (APC) model, and the disease burden of schistosomiasis was predicted in China from 2022 to 2030 using a Bayesian age-period-cohort (BAPC) model. Results The age-standardized prevalence and DALYs rate of schistosomiasis, and the age-standardized YLDs rate of anemia attributable to Schistosoma infections were 761.32/10⁵, 5.55/10⁵ and 0.38/10⁵ in China in 2021. These rates were all lower than the global levels (1 914.30/10⁵, 21.90/10⁵ and 3.36/10⁵, respectively), as well as those in the medium SDI regions (1 413.61/10⁵, 12.10/10⁵ and 1.93/10⁵, respectively), low-medium SDI regions (2 461.03/10⁵, 26.81/10⁵ and 4.48/10⁵, respectively), and low SDI regions (5 832.77/10⁵, 94.48/10⁵ and 10.65/10⁵, respectively), but higher than those in the high SDI regions (59.47/10⁵, 0.49/10⁵ and 0.05/10⁵, respectively) and high-medium SDI regions (123.11/10⁵, 1.20/10⁵ and 0.12/10⁵, respectively). The prevalence and DALYs rate of schistosomiasis were higher among men (820.79/10⁵ and 5.86/10⁵, respectively) than among women (697.96/10⁵ and 5.23/10⁵, respectively) in China in 2021, while the YLDs rate of anemia attributable to Schistosoma infections was higher among women (0.66/10⁵) than among men (0.12/10⁵). The prevalence of schistosomiasis peaked at ages of 30 to 34 years among both men and women, while the DALYs rate of schistosomiasis peaked among men at ages of 15 to 19 years and among women at ages of 20 to 24 years. The age-standardized prevalence of schistosomiasis showed a moderate decline in China from 1992 to 2021 relative to different SDI regions [EAPC = -1.51%, 95% CI: (-1.65%, -1.38%)], while the age-standardized DALYs rate [EAPC = -3.61%, 95% CI: (-3.90%, -3.33%)] and age-standardized YLDs rate of anemia attributable to Schistosoma infections [EAPC = -4.16%, 95% CI: (-4.38%, -3.94%)] appeared the fastest decline in China from1992 to 2021 relative to different SDI regions. APC modeling showed age, period, and cohort effects on the trends in the prevalence of schistosomiasis in China from 1992 to 2021, and the prevalence of schistosomiasis appeared a rise followed by decline with age, and reduced with period and cohort. BAPC modeling revealed that the age-standardized prevalence and age-standardized DALYs rate of schistosomiasis, and age-standardized YLDs rate of anemia attributable to Schistosoma infections all appeared a tendency towards a decline in China from 2022 to 2030, which reduced to 722.72/10⁵ [95% CI: (538.74/10⁵, 906.68/10⁵)], 5.19/10⁵ [95% CI: (3.54/10⁵, 6.84/10⁵)] and 0.30/10⁵ [95% CI: (0.21/10⁵, 0.39/10⁵)] in 2030, respectively. Conclusions The disease burden of schistosomiasis appeared a tendency towards a decline in China from 1992 to 2021, and is projected to appear a tendency towards a decline from 2022 to 2030. There are age, period and cohort effects on the prevalence of schistosomiasis in China. Precision schistosomiasis control is required with adaptations to current prevalence and elimination needs.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.