Background: This study was performed to characterize the incidence, costs, and risk factors associated with renal and cardiovascular adverse outcomes following primary percutaneous coronary intervention (pPCI) in patients with ST-elevation myocardial infarction (STEMI). Methods: Patients with STEMI who underwent pPCI using iso-osmolar contrast were enrolled at 39 centers. The incidence of acute kidney injury (AKI) and major adverse renal and cardiovascular events (MARCE) was analyzed, as well as inpatient costs. Logistic regression analysis was performed to identify risk factors. Results: Among 2,293 patients, the incidence of AKI and MARCE within 72 hours post-pPCI was 4.14% (n = 95) and 4.40% (n = 101), respectively. AKI and/or MARCE were associated with systolic blood pressure (AKI: odds ratio [OR], 1.009; 95% confidence interval [CI], 1.000–1.018), hypertension (AKI: OR, 1.815; 95% CI, 1.133–2.906; MARCE: OR, 1.760;95% CI, 1.118–2.769), anterior wall infarction (AKI: OR, 1.895; 95% CI, 1.196–3.004; MARCE:OR, 1.939; 95% CI, 1.240–3.032), Killip class (AKI: OR, 1.465; 95% CI, 1.117–1.922; MARCE:OR, 1.467; 95% CI, 1.131–1.903), and serum creatinine (SCr; MARCE: OR, 1.006; 95% CI, 1.000–1.012). Hospitalization costs for patients with STEMI who developed AKI or MARCE were significantly higher than for those without AKI (9,595 ± 5,795 vs. 8,279 ± 3,872 USD, P = 0.003) or without MARCE (9,890 ± 5,616 vs. 8,255 ± 3,859 USD, P < 0.001). Conclusions In patients with STEMI undergoing pPCI with iso-osmolar contrast, the incidence of AKI and MARCE was associated with higher hospitalization costs. Systolic blood pressure, hypertension, anterior wall infarction, Killip class, and SCr were identified as risk factors for these outcomes.

Ulcerative colitis （UC） is a chronic inflammatory bowel disease primarily affecting the colon and rectum. With a rising incidence， UC has aroused an increasingly serious public health concern. The etiology and pathogenesis of UC are complex， involving genetic susceptibility， intestinal barrier dysfunction， immune dysregulation， and environmental factors such as diet， smoking， and infection. Current UC therapies face limitations including persistent drug resistance， multiple side effects， and compromised immune function， necessitating the exploration of novel intervention strategies. In recent years， with the continuous advancement of research into UC mechanisms， the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway has been revealved as one of the classical pathways involved in inflammation. Being crucial for maintaining intestinal homeostasis， this pathway regulates inflammatory and immune responses by controlling gene transcription， thereby playing a significant role in the occurrence and progression of UC. However， systematic summarization within this field remains lacking. Traditional Chinese medicine （TCM） possesses unique advantages through its multi-target， multi-pathway， and multi-mechanism approaches， being capable of curbing the pathological progression of UC by targeting key molecules in the TLR4/NF-κB signaling pathway. This paper systematically summarizes the mechanisms by which TLR4/NF-κB-related pathways regulate UC， primarily encompassing inflammatory responses， oxidative stress， immune balance， and gut microbiota. It reviews single herbs （e.g.， Rosa roxburghii root and Saposhnikoviae Radix）， active components （e.g.， resveratrol， Tripterygium glycosides， and gypenosides）， herbal extracts （e.g.， Zingiberis Rhizoma extract and Taraxaci Herba extract）， and compound formulas for clearing heat and removing dampness， invigorating the spleen and warming the kidneys， clearing heat and detoxifying， harmonizing the liver and spleen， and treating cold and heat in complexity （e.g.， Huaihua Powder， Shenling Baizhu Powder， and Jiedu Huayu Formula）. The aim is to fully leverage the advantages of TCM in UC treatment and provide novel insights for clinical and pharmacological research on UC.

Ulcerative colitis （UC） is a chronic inflammatory bowel disease primarily affecting the colon and rectum. With a rising incidence， UC has aroused an increasingly serious public health concern. The etiology and pathogenesis of UC are complex， involving genetic susceptibility， intestinal barrier dysfunction， immune dysregulation， and environmental factors such as diet， smoking， and infection. Current UC therapies face limitations including persistent drug resistance， multiple side effects， and compromised immune function， necessitating the exploration of novel intervention strategies. In recent years， with the continuous advancement of research into UC mechanisms， the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway has been revealved as one of the classical pathways involved in inflammation. Being crucial for maintaining intestinal homeostasis， this pathway regulates inflammatory and immune responses by controlling gene transcription， thereby playing a significant role in the occurrence and progression of UC. However， systematic summarization within this field remains lacking. Traditional Chinese medicine （TCM） possesses unique advantages through its multi-target， multi-pathway， and multi-mechanism approaches， being capable of curbing the pathological progression of UC by targeting key molecules in the TLR4/NF-κB signaling pathway. This paper systematically summarizes the mechanisms by which TLR4/NF-κB-related pathways regulate UC， primarily encompassing inflammatory responses， oxidative stress， immune balance， and gut microbiota. It reviews single herbs （e.g.， Rosa roxburghii root and Saposhnikoviae Radix）， active components （e.g.， resveratrol， Tripterygium glycosides， and gypenosides）， herbal extracts （e.g.， Zingiberis Rhizoma extract and Taraxaci Herba extract）， and compound formulas for clearing heat and removing dampness， invigorating the spleen and warming the kidneys， clearing heat and detoxifying， harmonizing the liver and spleen， and treating cold and heat in complexity （e.g.， Huaihua Powder， Shenling Baizhu Powder， and Jiedu Huayu Formula）. The aim is to fully leverage the advantages of TCM in UC treatment and provide novel insights for clinical and pharmacological research on UC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

OBJECTIVES: To explore the risk factors for malnutrition in patients with ulcerative colitis complicated with pyoderma gangrenosum and establish a nutritional risk prediction model for these patients. METHODS: A total of 277 patients with ulcerative colitis complicated with pyoderma gangrenosum treated from 2019 to 2024 were divided into malnutrition group (n=185) and normal nutrition group (n=92) according to whether malnutrition occurred. The data of 25 potential related factors pertaining to general demography, living and eating habits, and disease-related data were compared between the two groups. Lasso regression was used to screen the risk factors, and a nomogram model was established based on the screened factors and its prediction performance was assessed. RESULTS: The patients in the malnutrition group and normal nutrition group showed significant differences in 21 factors including gender, age, education level, BMI, place of residence, course of disease, and SAS language score (P<0.05). Lasso regression analysis identified 6 factors associated with malnutrition in these patients, namely the duration of ulcerative colitis, activity of ulcerative colitis, duration of pyoderma gangrenosum, number of chronic diseases, SAS score, and sleep quality. The nomogram prediction model established based on these 6 factors had an AUC of 0.992 (95% CI: 0.984-1.000) for predicting malnutrition in these patients, and its application in 14 clinical cases achieved an accuracy rate of 100%. CONCLUSIONS The duration of ulcerative colitis, activity of colitis, duration of pyoderma gangrenosum, number of chronic diseases, anxiety, and sleep quality are closely related with malnutrition in patients with ulcerative colitis complicated by pyoderma gangrenosum, and the nomogram prediction model based on these factors can provide assistance for predicting malnutrition in these patients.
Humans ; Colitis, Ulcerative/complications* ; Malnutrition/etiology* ; Risk Factors ; Pyoderma Gangrenosum/complications* ; Female ; Male ; Adult ; Nomograms ; Middle Aged ; Nutritional Status ; Regression Analysis