Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

To explore the mechanism of spleen- were obtained for the treatment of acute-on-chronic livstrengthening and moisture-nourishing liver prescription er failure, and 244 intersecting target genes and 7 core (JPLSYGF) in the treatment of acute-on-chronic liver target genes were screened. Molecular docking showed failure using network pharmacology and the molecular that the core target genes AKT1, SRC, VEGFA, docking. Methods Relying on TCMSP and Gene- STAT3 , EGFR, MAPK3 , HRAS had good affinity with Cards and other databases, the relevant targets of JPL- quercetin, the main active component in the JPLSYGF in the treatment of acute-on-chronic liver failure SYGF, and had strong binding activity. In addition, in were obtained. String and Cytoscape were used to con- vivo tests verified that the JPLSYGF could reduce the struct PPI networks of targets, core targets were expression of HRAS, EGFR, STAT3 , SRC, and VEGscreened out, and DAVID was used for GO function FA, to delay the progression of acute-on-chronic liver annotation and KEGG pathway enrichment analysis. failure. Conclusions JPLSYGF may act on core tar- The main active ingredients of the traditional Chinese gets such as HRAS, EGFR, STAT3, SRC, VEGFA medicine compound formula for JPLSYGF were select- and so on, to achieve the effect of treating acute-oned with a bioavailability OB value of =Э 30% and a chronic liver failure. drug-like DL^O. 18 as the screening conditions, and.

Objective To explore the effectiveness of clinical pharmacists participating in anti-infection treatment for severe infection patients in the intensive care unit.Methods A retrospective collection of severe infection patients admitted to the ICU of the Fourth People's Hospital of Jinan from January to June 2023 was conducted through the hospital information system.Among them,some patients with clinical pharmacists participating in anti-infection treatment throughout the process were in the intervention group,and other patients who did not participate in treatment were in the control group.Both groups of patients received routine treatment according to clinical diagnosis.We compared the cure rate,incidence of adverse reactions,cost of antibiotics,proportion of antibiotic costs,pathogen testing rate,duration of antibiotic treatment,and average length of hospital stay between two groups of patients,and conducted statistical analysis.Results A total of 147 patients were included,with 66 in the intervention group and 81 in the control group.The cure rate of patients in the intervention group was 65.15％,significantly higher than 46.91％in the control group(P＜0.05);The incidence of adverse reactions(7.58％)was significantly lower than that of the control group(19.75％)(P＜0.05).The usage rates of quinolone drugs and tigecycline were significantly reduced in the intervention group;The intervention group had significantly better indicators such as antibiotic costs,proportion of antibiotic costs,and patient pathogen testing rate than the control group(P＜0.05).There were no significant difference in the duration of antimicrobial treatment and average length of hospital stay between the two groups(P＞0.05).Conclusion The full participation of clinical pharmacists in the anti-infection treatment of ICU severe infection patients can help improve their clinical cure rate and medication safety,and reduce their medical burden.

Background::Histological healing is closely associated with improved long-term clinical outcomes and lowered relapses in patients with ulcerative colitis (UC). Here, we developed a novel diagnostic criterion for assessing histological healing in UC patients.Methods::We conducted a retrospective cohort study in UC patients, whose treatment was iteratively optimized to achieve mucosal healing at Shanghai Tenth People’s Hospital of Tongji University from January 2017 to May 2022. We identified an inflammatory cell enumeration index (ICEI) for assessing histological healing based on the proportions of eosinophils, CD177 + neutrophils, and CD40L + T cells in the colonic lamina propria under high power field (HPF), and the outcomes (risks of symptomatic relapses) of achieving histological remission vs. persistent histological inflammation using Kaplan-Meier curves. Intrareader reliability and inter-reader reliability were evaluated by each reader. The relationships to the changes in the Nancy index and the Geboes score were also assessed for responsiveness. The ICEI was further validated in a new cohort of UC patients from other nine university hospitals. Results::We developed an ICEI for clinical diagnosis of histological healing, i.e., Y = 1.701X 1 + 0.758X 2 + 1.347X 3 - 7.745 (X 1, X 2, and X 3 represent the proportions of CD177 + neutrophils, eosinophils, and CD40L + T cells, respectively, in the colonic lamina propria under HPF). The receiver operating characteristics curve (ROC) analysis revealed that Y <-0.391 was the cutoff value for the diagnosis of histological healing and that an area under the curve (AUC) was 0.942 (95% confidence interval [CI]: 0.905-0.979) with a sensitivity of 92.5% and a specificity of 83.6% ( P <0.001). The intraclass correlation coefficient (ICC) for the intrareader reliability was 0.855 (95% CI: 0.781-0.909), and ICEI had good inter-reader reliability of 0.832 (95% CI: 0.748-0.894). During an 18-month follow-up, patients with histological healing had a substantially better outcome compared with those with unachieved histological healing ( P <0.001) using ICEI. During a 12-month follow-up from other nine hospitals, patients with histological healing also had a lower risk of relapse than patients with unachieved histological healing. Conclusions::ICEI can be used to predict histological healing and identify patients with a risk of relapse 12 months and 18 months after clinical therapy. Therefore, ICEI provides a promising, simplified approach to monitor histological healing and to predict the prognosis of UC.Registration::Chinese Clinical Trial Registry, No. ChiCTR2300077792.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the incidence of anemia and evaluate the immune status among newly reported HIV/AIDS patients in Jiangsu Province in 2021, and to identify the risk factors of anemia among patients living with HIV infections. Methods Newly reported HIV/AIDS patients in Jiangsu Province from January 1 to December 31, 2021 that were registered in China’s National AIDS Comprehensive Control Information Management System were enrolled. Subjects’ fresh whole blood samples were collected, and hemoglobin levels, CD4 and CD8 cell counts and HIV viral loads were measured. Anemia was defined according to hemoglobin levels, and the immunological parameters and HIV viral loads were compared between HIV-infected patients with and without anemia. The risk factors of anemia were identified among individuals living with HIV infections using univariate analysis and multivariate logistic regression analysis. In addition, subjects’ CD4 cell counts one year following antiretroviral therapy (ART) were retrieved from China’s National AIDS Comprehensive Control Information Management System, and compared between subjects with and without anemia. Results A total of 635 newly diagnosed HIV/AIDS patients were reported in Jiangsu Province in 2021, including 544 males (85.67%) and 91 females (14.33%), and with ages of 15 to 83 years, and the overall incidence of anemia was 5.51% (35/635) among the study subjects. Men, individuals at ages of 45 years and lower and workers had relatively higher hemoglobin levels, with median hemoglobin levels of 156 (interquartile range, 22), 154 (interquartile range, 23) g/L and 162 (interquartile range, 19) g/L, respectively. The median baseline HIV viral load was 40 500.00 (interquartile range, 119 735.00) copies/mL among HIV-infected individuals with anemia and 29 754.00 (69 183.00) copies/mL among those without anemia (Z = -0.91, P = 0.31), and the median baseline CD4 and CD8 cell counts were significantly lower among HIV-infected individuals with anemia [166 (interquartile range, 143) cells/μL and 755 (653) cells/μL] than those without anemia [308 (253) cells/μL and 892 (638) cells/μL] (Z = -4.36 and -2.37, both P values < 0.05). The median CD4 cell counts remained lower among HIV-infected individuals with anemia than those without anemia [296 (interquartile range, 229) cells/μL vs. 457 (interquartile range, 313) cells/μL; Z = -3.71, P < 0.05] one year following ART, and the proportions of moderate and severe immunosuppression were significantly higher among HIV-infected individuals with anemia (40.00% and 17.14%) than those without anemia (21.00% and 9.33%) (χ² = 10.37 and 8.79, both P values < 0.01). Univariate analysis showed a higher detection rate of anemia among female HIV-infected individuals than among males [odds ratio (OR) = 4.528, 95% confidence interval (CI): (3.811, 5.245), P < 0.001], a higher rate among HIV-infected individuals at ages of 45 to < 60 years [OR = 3.415, 95% CI: (1.191, 9.788), P = 0.022] and 60 years and older [OR = 5.820, 95% CI: (2.013, 16.826), P < 0.001] than among those at ages of 15 to < 30 years, a higher rate among HIV-infected individuals through heterosexual transmission than among those through homogeneous transmission [OR = 3.015, 95% CI: (1.423, 6.387), P = 0.004], a lower rate among HIV-infected individuals with an educational level of college and above than among those with an educational level of primary school [OR = 0.103, 95% CI: (0.028, 0.386), P < 0.001], a higher rate among HIV-infected individuals with baseline CD4 cell counts of < 200 cells/μL than among those with baseline CD4 cell counts of 200 cells/μL and higher [OR = 4.340, 95% CI: (2.165, 8.702), P < 0.001], and lower detection rates among HIV-infected individuals with CD4/CD8 cell ratios of 0.208 to < 0.326 [OR = 0.232, 95% CI: (0.076, 0.711), P = 0.011] and 0.516 and higher [OR = 0.292, 95% CI: (0.104, 0.818), P = 0.019] than among those with CD4/CD8 cell ratios of < 0.208. Multivariate logistic regression analysis identified woman [OR = 4.945, 95% CI: (3.944, 5.946), P = 0.002], and CD4 cell counts of < 200 cells/μL [OR = 3.597, 95% CI: (1.448, 8.937), P = 0.006] as risk factors of anemia among newly reported HIV/AIDS patients. Conclusions The incidence of anemia was low among newly reported HIV/AIDS patients in Jiangsu Province in 2021, and the immune status was poorer among HIV-infected individuals with anemia than those without anemia at baseline and one year following ART. Female and CD4 cell counts of < 200 cells/μL are risk factors of anemia among individuals living with HIV infections, and intensified surveillance, follow-up and precision interventions are recommended targeting female HIV-infected individuals and HIV-infected individuals with low CD4 cell counts.