Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective To systematically evaluate toxicities of nifedipine in pregnant women with hypertension, and provide references for nifedipine’s clinical safety application. Methods Study was conducted with data from US food and drug administration adverse event reporting system（FARES） database from January 1, 2015, to March 31, 2021. Information component （IC） and reporting odds ratio（ROR）methods were applied for signal mining. Results Finally, a total of 539278 records of pregnant women with hypertension were selected for analysis, and 70 positive adverse drug event signals were detected. Premature delivery （IC₀₂₅=2.87，ROR₀₂₅=9.52）, pre-eclampsia （IC₀₂₅=1.82，ROR₀₂₅=3.82） and fetal growth restriction （IC₀₂₅=2.37，ROR₀₂₅=5.69）were positive adverse events with higher frequency. Polydactyly（IC₀₂₅=3.13， ROR₀₂₅=10.05）, fetal death（IC₀₂₅=2.93，ROR₀₂₅=8.57）and premature delivery（IC₀₂₅=2.87，ROR₀₂₅=9.52）were positive adverse events with higher intensity. Vascular resistance systemic increased, small for dates baby and fetal death corresponded to higher death rates. Conclusion Nifedipine-associated drug toxicities were detected in pregnant women with hypertension, and some adverse events with high frequency and high death rate were deserved further attention by medical staffs.

Clinical trials of anti-cancer drugs are characterized by long cycles, high risks, large investments, complex efficacy evaluations, and numerous influencing factors. Traditional experimental design is slow in progress and high in cost, which to some extent increases the uncertainty of research. With the guidance of domestic and international policies and the development of clinical trial methodologies, adaptive design has emerged. Flexible adaptive designs can shorten the clinical trial time of anti-cancer drugs, which is conducive to the discovery of truly effective anti-cancer drugs and therapies, thereby increasing the efficiency and success rate of new drug research and development. Starting from the characteristics of clinical trials of anti-cancer drugs, this article reviews the adaptive designs adopted in current clinical trials, summarizes the characteristics and differences of various adaptive design methods by introducing specific research and development cases, and discusses the problems and challenges faced. This work aims to provide methodological references for clinical trials of anti-cancer drugs.

Diabetic cognitive dysfunction （DCD） is one of the complications of diabetes， which is characterized by impaired brain structure and progressively decreased learning and memory ability. With the increasing incidence of diabetes worldwide， DCD has become a serious medical and social problem. However， its pathophysiological mechanisms are not well understood. The occurrence and development of DCD involve multiple pathological links and mechanisms， and the prevention and treatment require multi-link and multi-target therapeutic measures. At present， there is no specific drug to prevent or improve DCD. Hypoglycemic drugs such as metformin and vigagliptin or anti-dementia drug including Donepezil are commonly used in clinical treatment to delay the occurrence and progression of cognitive dysfunction， but these drugs have a single target and obvious side effects. Traditional Chinese medicine has a long history in the prevention and treatment of diabetes and central cognitive diseases， and it has many unique advantages such as multiple components， multiple targets， side effects， and low price. A large number of studies have confirmed that traditional Chinese medicine has a significant prevention and treatment effect on DCD， which can improve insulin resistance， synaptic dysfunction， inflammation， oxidative stress， endoplasmic reticulum stress， and neuronal apoptosis by regulating phosphatidylin-ositol 3-kinase （PI3K）/protein kinase B （Akt）， advanced glycation end products （AGEs）/advanced glycation end products receptor （RAGE）/nuclear transcription factor-κB （NF-κB）， NOD-like receptor thermal protein domain associated protein 3 （NLRP3） inflammasome， and endoplasmic reticulum stress and nuclear factor E₂ related factor 2 （Nrf2）/antioxidant response element （ARE） signaling pathways. This article reviewed the effects and related mechanisms of traditional Chinese medicine on DCD in recent years， so as to provide a reference for the prevention and treatment of DCD by traditional Chinese medicine.

Objective:To summarize the clinical characteristics of patients with epilepsy caused by focal cortical dysplasia (FCD), and identify the influencing factors for postoperative seizure controls.Methods:Fifty-seven patients with epilepsy caused by FCD admitted to Department of Neurosurgery, Third Affiliated Hospital of Zhengzhou University from July 2019 to November 2023 were chosen; standard preoperative evaluation, surgery, postoperative management and follow-up were performed. A retrospective study of clinical data, imaging and video electroencephalogram (VEEG) data, surgical approaches, pathological findings, and follow-up data was performed; influencing factors for postoperative seizure controls were analyzed.Results:In these 57 patients with epilepsy caused by FCD, 29 were males (50.88%) and 28 were females (49.12%). Onset age was 30.00 (8.00, 74.50) months, and surgery age was 95.00 (50.00, 138.50) months. Focal to bilateral tonic-clonic seizures (42/57; 73.68%) and epileptic spasms (13/57; 22.81%) were common seizure types. Cranial MRI was positive in 34 patients (59.65%), mainly manifested as abnormal cortical gyri/sulci morphology (17/57; 29.82%). In 43 patients accepted PET-CT, hypometabolic sites were detected in 40 (93.02%), and complete agreement between PET/MRI fusion results and actual lesion sites was noted in 40 (93.02%). FCD type I was noted in 16 patients (28.07%), type II in 39 (68.42%), and type III in 2 (3.51%). By December 2023, 44 (77.19%) had Engel grading I, 4 (7.02%) had grading II, 4 (7.02%) had grading III, and 5 (8.77%) had grading IV. Children with good prognosis (Engel grading I+II) and those with poor prognosis (Engel grading III+IV) showed significant differences in terms of time from first seizure to surgery, positive/negative MRI, and regularity of postoperative ASMs ( P<0.05). Conclusions:Focal to bilateral tonic-clonic seizure is the most common seizure type in patients with epilepsy caused by FCD, and abnormal cortical gyri/sulci morphology is the most common MRI manifestation; PET/MRI fusion imaging is superior to PET-CT or MRI in identifying epileptogenic foci. Poor seizure control can be noted in patients with long onset time to surgery, with negative cranial MRI results, or with irregular postoperative ASMs.

Non-neonatal tetanus is an acute, specific, toxic disease in patients over 28 days of age, characterized by continuous rigidity and paroxysmal spasms of the skeletal muscles throughout the body caused by the intrusion of Clostridium tetani through skin or mucosal membrane into the body and reproducing in anaerobic environments to produce exotoxins. The mortality rate of severe patients is close to 100% without medical intervention. Even with aggressive comprehensive treatment, the global mortality rate remains at 30%-50%, making it a potentially fatal disease. In order to standardize the diagnosis, treatment and prevention of non-neonatal tetanus, based on "Regulation for Diagnosis and Treatment of Non-neonatal Tetanus (2019 Edition)", experts have revised this regulation according to clinical practice and recent research progress in this field to guide medical institutions in the prevention and control of non-neonatal tetanus. This article interprets the key points and basis for updating the 2024 edition regulation to guide clinical implementation and application.