Objective:To explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.Methods:This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients. Results:Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older ( Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ2 values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS ( Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ2 values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test ( P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients ( P>0.05). Conclusions:PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.

Objective:To investigate the diagnostic and differential diagnostic values of midbrain morphological measurements at the mammillary body level on axial cranial MRI in progressive supranuclear palsy (PSP).Methods:This cross-sectional study included 50 patients with clinically diagnosed, probable or possible PSP, admitted to Department of Neurology, Xuanwu Hospital, Capital Medical University from January 2023 to December 2024. Additionally, 44 patients with Parkinson's disease (PD), 30 patients with multiple system atrophy-cerebellar type (MSA-C), and 35 gender- and age-matched healthy controls recruited from the community were chosen. The following midbrain morphological parameters on axial cranial MRI were measured in all participants: distance from the interpeduncular fossa to the aqueduct (IF-AQ), distance from the lateral mesencephalic sulcus to the interpeduncular cistern (LS-IC), distance between the bilateral lateral mesencephalic sulci (D-BMS), cerebral peduncle angle (CPA), distance between the medial aspects of the cerebral peduncles (D-MP), and distance from the line connecting the highest points of the cerebral peduncle to the interpeduncular fossa (PP-IF). Differences in these measurements among the 4 groups were compared, and the diagnostic and differential diagnostic performances of each parameter in PSP was evaluated using receiver operating characteristic (ROC) curve.Results:The PSP group exhibited significantly shorter IF-AQ, LS-IC, and D-BMS distances compared with the other 3 groups ( P<0.05). (1) ROC curve analysis of PSP group versus non-PSP group (MSA-C patients, PD patients, and healthy controls) showed that IF-AQ had an area under the curve (AUC) of 0.977 (95% CI: 0.959-0.995, P<0.001), and at a cutoff of 10.895 mm, IF-AQ demonstrated a sensitivity of 96.0% and a specificity of 89.9% for diagnosing PSP; LS-IC had an AUC of 0.917 (95% CI: 0.868-0.966, P<0.001), and at a cutoff of 10.82 mm, LS-IC demonstrated a sensitivity of 82.0% and a specificity of 89.0% for diagnosing PSP; D-BMS had an AUC of 0.785 (95% CI: 0.704-0.866, P<0.001), and at a cutoff of 20.01 mm, D-BMS demonstrated a sensitivity of 66.0% and a specificity of 83.5% for diagnosing PSP. (2) In distinguishing PSP from MSA-C, IF-AQ achieved an AUC of 0.939 (95% CI: 0.889-0.988, P<0.001), with a sensitivity of 84.0% and a specificity of 90.0% at a cutoff of 10.385 mm; LS-IC achieved an AUC of 0.846 (95% CI: 0.756-0.936, P<0.001), with a sensitivity of 80.0% and a specificity of 76.7% at a cutoff of 10.710 mm; D-BMS achieved an AUC of 0.696 (95% CI: 0.578-0.813, P<0.001), with a sensitivity of 60.0% and a specificity of 80.0% at a cutoff of 19.810 mm. (3) In discriminating PSP from PD, IF-AQ yielded an AUC of 0.986 (95% CI: 0.970-1.000, P<0.001), with a sensitivity of 96.0% and a specificity of 89.2% at a cutoff of 10.955 mm; LS-IC achieved an AUC of 0.937 (95% CI: 0.885-0.988, P<0.001), with a sensitivity of 82.0% and a specificity of 95.5% at a cutoff of 10.820 mm; D-BMS had an AUC of 0.825 (95% CI: 0.740-0.909, P<0.001), with a sensitivity of 60.0% and a specificity of 95.5% at a cutoff of 19.820 mm. Conclusion:IF-AQ, LS-IC, and D-BMS distances on axial cranial MRI at the mamillary body level can diagnose and differentiate PSP to a certain extent, with IF-AQ enjoying the best efficacy.

Objective:To explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.Methods:This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients. Results:Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older ( Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ2 values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS ( Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ2 values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test ( P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients ( P>0.05). Conclusions:PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.

Objective:To investigate the diagnostic and differential diagnostic values of midbrain morphological measurements at the mammillary body level on axial cranial MRI in progressive supranuclear palsy (PSP).Methods:This cross-sectional study included 50 patients with clinically diagnosed, probable or possible PSP, admitted to Department of Neurology, Xuanwu Hospital, Capital Medical University from January 2023 to December 2024. Additionally, 44 patients with Parkinson's disease (PD), 30 patients with multiple system atrophy-cerebellar type (MSA-C), and 35 gender- and age-matched healthy controls recruited from the community were chosen. The following midbrain morphological parameters on axial cranial MRI were measured in all participants: distance from the interpeduncular fossa to the aqueduct (IF-AQ), distance from the lateral mesencephalic sulcus to the interpeduncular cistern (LS-IC), distance between the bilateral lateral mesencephalic sulci (D-BMS), cerebral peduncle angle (CPA), distance between the medial aspects of the cerebral peduncles (D-MP), and distance from the line connecting the highest points of the cerebral peduncle to the interpeduncular fossa (PP-IF). Differences in these measurements among the 4 groups were compared, and the diagnostic and differential diagnostic performances of each parameter in PSP was evaluated using receiver operating characteristic (ROC) curve.Results:The PSP group exhibited significantly shorter IF-AQ, LS-IC, and D-BMS distances compared with the other 3 groups ( P<0.05). (1) ROC curve analysis of PSP group versus non-PSP group (MSA-C patients, PD patients, and healthy controls) showed that IF-AQ had an area under the curve (AUC) of 0.977 (95% CI: 0.959-0.995, P<0.001), and at a cutoff of 10.895 mm, IF-AQ demonstrated a sensitivity of 96.0% and a specificity of 89.9% for diagnosing PSP; LS-IC had an AUC of 0.917 (95% CI: 0.868-0.966, P<0.001), and at a cutoff of 10.82 mm, LS-IC demonstrated a sensitivity of 82.0% and a specificity of 89.0% for diagnosing PSP; D-BMS had an AUC of 0.785 (95% CI: 0.704-0.866, P<0.001), and at a cutoff of 20.01 mm, D-BMS demonstrated a sensitivity of 66.0% and a specificity of 83.5% for diagnosing PSP. (2) In distinguishing PSP from MSA-C, IF-AQ achieved an AUC of 0.939 (95% CI: 0.889-0.988, P<0.001), with a sensitivity of 84.0% and a specificity of 90.0% at a cutoff of 10.385 mm; LS-IC achieved an AUC of 0.846 (95% CI: 0.756-0.936, P<0.001), with a sensitivity of 80.0% and a specificity of 76.7% at a cutoff of 10.710 mm; D-BMS achieved an AUC of 0.696 (95% CI: 0.578-0.813, P<0.001), with a sensitivity of 60.0% and a specificity of 80.0% at a cutoff of 19.810 mm. (3) In discriminating PSP from PD, IF-AQ yielded an AUC of 0.986 (95% CI: 0.970-1.000, P<0.001), with a sensitivity of 96.0% and a specificity of 89.2% at a cutoff of 10.955 mm; LS-IC achieved an AUC of 0.937 (95% CI: 0.885-0.988, P<0.001), with a sensitivity of 82.0% and a specificity of 95.5% at a cutoff of 10.820 mm; D-BMS had an AUC of 0.825 (95% CI: 0.740-0.909, P<0.001), with a sensitivity of 60.0% and a specificity of 95.5% at a cutoff of 19.820 mm. Conclusion:IF-AQ, LS-IC, and D-BMS distances on axial cranial MRI at the mamillary body level can diagnose and differentiate PSP to a certain extent, with IF-AQ enjoying the best efficacy.

Neoadjuvant chemoradiotherapy (nCRT) followed by total mesorectal excision (TME) and adjuvant chemotherapy serves as a traditional standard treatment for locally advanced rectal cancer (LARC). However, such treatment suffers low pathological complete response (pCR) rates, which are merely less than 15%, and low anal-preservation rates, failing to meet the demand of patients for high quality of life. Recently, total neoadjuvant therapy (TNT) whereby postoperative adjuvant chemotherapy is performed preoperatively has further increased the pCR rate, gradually becoming a novel therapeutic approach. Nevertheless, the pCR rate of TNT remains below 30%. Presently, immune checkpoint inhibitors (ICIs) have been proved to be highly successful in treating various solid tumors, yet they are scarcely employed to treat LARC. In recent years, many clinical trials have been conducted to explore the application of nCRT combined with ICIs in the treatment of LARC. This paper reviews the advances in research on this therapy.

- () is the earliest and existed well-known work on acupuncture and moxibustion, with irreplaceable literature values and huge impacts on the later generations. Feiyang (BL 58) is the -connecting point of the bladder meridian and recorded 11 times in -. This book is the representative for the exploration on the acupoint nomenclature and clinical connotation. Through the investigation on the textual connotation of the specified terms and the alias of Feiyang (BL 58), it was discovered that the nomenclature of this acupoint was based on the main symptoms, the characters of the running course of meridian and acupuncture effects. It was proved that the unique property of this acupoint was as rising, dispersing and flying of meridian . In comparison of -- () of the printed edition of the Dynasty version and - (), it was found that the indications and connotation of Feiyang (BL 58) were more extensively richer than the records in teaching materials. Those study results contribute to the extension of the clinical application of this acupoint.
Acupuncture ; Acupuncture Points ; Humans ; Meridians ; Moxibustion ; Terminology as Topic

Radiomics,as a noninvasive method of image analysis,had been confirmed through numerous studies in predictive value for esophageal cancer in staging,treatment response and radiation pneumonia.The research background of radiomics,its clinical application,challenges,and future research direction in esophageal cancer were summarized in this review.

Objective To evaluate the effect of liver function on liver enhancement in hepatobiliary phase of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)-enhanced MRI.Methods Sixty-seven patients who suffered from cirrhosis and received enhanced MRI with Gd-EOB-DTPA were retrospectively analyzed,and divided into three subgroups according to ChildPugh score(45 patients in group A,20 in group B,5 in group C).All the individuals of both groups had MRI before injection,and hepatobiliary phase images were obtained at 5,10,and 20 minutes after bolus administration of Gd-EOB-DTPA.The relative enhancement(RE) was calculated by dividing the signal intensity of liver(SI) at t min after injection(SIt) by precontrast SI(SI0).The total serum bilirubin level(TB),serum albumin level(Alb) and prothrombin time(PT) were recorded.The one-way ANOVA was used to compare the RE among three groups at 5,10 and 20 minutes.SNK was used for further pairwise comparison.The effect of liver function on RE was assessed with the generalized linear model.Pearson correlation coefficients were measured between each biochemical test result(TB,Alb,PT) and RE at different time points.Results The RE at 5,10 and 20 minutes were 1.59±0.20,1.65±0.22,1.69±0.25 of group A; 1.47± 0.14,1.48±0.18,1.50±0.22 of group B,1.35±0.07,1.27±0.06,1.26±0.06 of group C.There were statistically significant differences of RE among groups at 5,10 and 20 minutes(F=5.854,11.207,9.666,P＜0.01).Statistically pairwise comparison differences of RE were found between group A and C at 5,10 and 20 minutes(P＜0.01),between B and C at 10 and 20 minutes(P＜0.05),between A and B at 10 minutes(P＜ 0.05).There were statistically significant differences of TB,Alb and PT among groups(P＜0.01).RE at 10 and 20 minutes had moderate negative correlation with TB(r=-0.483,-0.500; P＜0.01),low negative correlation with PT(r=-0.326,-0.351;P＜0.01) and weak positive correlation with Alb(r=0.290,0.292;P＜0.05).Conclusions There are differences of RE among patients with different liver function,and the RE is associated with TB,Alb and PT.Thus,it may allow us to estimate the liver function.