Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters








Database
Language
Publication year range
1.
Am J Transl Res ; 16(5): 1991-2000, 2024.
Article in English | MEDLINE | ID: mdl-38883358

ABSTRACT

Heart failure poses a significant threat to global public health within the realm of cardiovascular diseases. Its pathological progression involves various alterations in cardiomyocytes, among which autophagy, a crucial intracellular degradation mechanism, plays a pivotal role. Autophagy facilitates the breakdown of damaged organelles and proteins, thereby maintaining cellular homeostasis. In the context of heart failure, autophagy coexists with apoptosis and necrosis, influencing myocardial hypertrophy and ventricular remodeling. However, its impact on heart failure manifests a dual nature: moderate autophagy aids in cardiac repair, whereas excessive autophagy may exacerbate ventricular remodeling and cell demise. This review delves into the fundamental biology of autophagy, elucidating its involvement in the pathological cascade of heart failure and its correlation with cardiac hypertrophy and ventricular remodeling. Furthermore, an analysis of the interplay between autophagy regulatory factors and heart failure sheds light on the potential therapeutic implications of autophagy in the prevention and management of heart failure. This exploration provides a theoretical foundation for novel treatment strategies in combating heart failure.

2.
Dig Liver Dis ; 55(8): 1062-1071, 2023 08.
Article in English | MEDLINE | ID: mdl-36863930

ABSTRACT

AIMS: To prospectively evaluate the performance of spleen stiffness measurement (SSM) and liver stiffness measurement (LSM) via acoustic radiation force impulse (ARFI) imaging combined with platelet counts (PLT) in ruling out HRV in HBV-related cirrhotic patients with viral suppression. METHODS: Patients with cirrhosis enrolled between June 2020-March 2022 were divided into a derivation cohort and validation cohort. LSM and SSM ARFI-based, and esophagogastroduodenoscopy (EGD) were performed at enrollment. RESULTS: In the derivation cohort, overall, 236 HBV-related cirrhotic patients with maintained viral suppression were enrolled, and the prevalence of HRV was 19.5% (46/236). With the aim of identifying HRV, the most accurate LSM and SSM cut-offs were chosen of 1.46 m/s and 2.28 m/s, respectively. The combined model (LSM<1.46 m/s and PLT>150 × 109/L strategy combined with SSM ≤ 2.28 m/s) can spare 38.6% of EGDs and 4.3% of HRV cases were misclassified. In the validation cohort, we analysed 323 HBV-related cirrhotic patients with maintained viral suppression and validated the combined model can spare 33.4% (108/323) of EGD, and the HRV missed rate was 3.4%. CONCLUSIONS: A non-invasive prediction model combining LSM<1.46 m/s and PLT>150 × 109/L strategy with SSM ≤ 2.28 m/s exhibited excellent performance in ruling out HRV and avoided a significantly large number (38.6% vs 33.4%) of unnecessary EGDs in HBV-related cirrhotic patients with viral suppression.


Subject(s)
Elasticity Imaging Techniques , Esophageal and Gastric Varices , Varicose Veins , Humans , Hepatitis B virus , Esophageal and Gastric Varices/etiology , Esophageal and Gastric Varices/pathology , Liver Cirrhosis/complications , Liver Cirrhosis/diagnostic imaging , Liver Cirrhosis/pathology , Elasticity Imaging Techniques/methods , Acoustics , Liver/diagnostic imaging , Liver/pathology
3.
J Hepatol ; 78(3): 574-583, 2023 03.
Article in English | MEDLINE | ID: mdl-36356684

ABSTRACT

BACKGROUND & AIMS: The Baveno VII consensus recommends that spleen stiffness measurement (SSM) ≤40 kPa is safe for ruling out high-risk varices (HRVs) and avoiding endoscopic screening in patients who do not meet the Baveno VI criteria. This study aimed to validate the performance of the Baveno VII algorithm in individuals with HBV-related cirrhosis. METHODS: Consecutive individuals with HBV-related cirrhosis who underwent liver stiffness measurement (LSM) and SSM - using a 50 Hz shear wave frequency, spleen diameter measurement, and esophagogastroduodenoscopy (EGD) were prospectively enrolled from June 2020. A 100 Hz probe has been adopted for additional SSM assessment since July 2021. RESULTS: From June 2020 to January 2022, 996 patients were screened and 504 were enrolled for analysis. Among the 504 patients in whom SSM was assessed using a 50 Hz probe, the Baveno VII algorithm avoided more EGDs (56.7% vs. 39.1%, p <0.001) than Baveno VI criteria, with a comparable missed HRV rate (3.8% vs. 2.5%). Missed HRV rates were >5% for all other measures: 11.3% for LSM-longitudinal spleen diameter to platelet ratio score, 20.0% for platelet count/longitudinal spleen diameter ratio, and 8.8% for Rete Sicilia Selezione Terapia-hepatitis. SSM@100 Hz was assessed in 232 patients, and the Baveno VII algorithm with SSM@100 Hz spared more EGDs (75.4% vs. 59.5%, p <0.001) than that with SSM@50 Hz, both with a missed HRV rate of 3.0% (1/33). CONCLUSIONS: We validated the Baveno VII algorithm, demonstrating the excellent performance of SSM@50 Hz and SSM@100 Hz in ruling out HRV in individuals with HBV-related cirrhosis. Furthermore, the Baveno VII algorithm with SSM@100 Hz could safely rule out more EGDs than that with SSM@50 Hz. CLINICAL TRIAL NUMBER: NCT04890730. IMPACT AND IMPLICATIONS: The Baveno VII guideline proposed that for patients who do not meet the Baveno VI criteria, SSM ≤40 kPa could avoid further unnecessary endoscopic screening. The current study validated the Baveno VII algorithm using 50 Hz and 100 Hz probes, which both exhibited excellent performance in ruling out HRVs in individuals with HBV-related cirrhosis. Compared with the Baveno VII algorithm with SSM@50 Hz, SSM@100 Hz had a better capability to safely rule out unnecessary EGDs. Baveno VII algorithm will be a practical tool to triage individuals with cirrhosis in future clinical practice.


Subject(s)
Elasticity Imaging Techniques , Esophageal and Gastric Varices , Varicose Veins , Humans , Hepatitis B virus , Liver Cirrhosis/diagnosis , Algorithms
SELECTION OF CITATIONS
SEARCH DETAIL