RESUMEN
Background: Albumin acts as a scavenger of reactive oxygen species and an inhibitor of inflammatory processes that underlie hepatic encephalopathy (HE). However, the role of albumin in hepatic encephalopathy is not well-established. The authors performed this meta-analysis to evaluate the efficacy and safety of albumin in the management of hepatic encephalopathy. Methods: The authors carried out an extensive search across multiple databases, including MEDLINE (via PubMed), Embase, CENTRAL, and various trial registries, to identify randomized controlled trials (RCTs) evaluating the impact of albumin administration in HE. The authors used a random-effects model for analyses and presented dichotomous outcomes and continuous outcomes as relative risk and mean difference, along with corresponding 95% CIs, respectively. Heterogeneity was assessed using both the I2 index and χ2 test. Results: Our meta-analysis included 4 RCTs involving 306 patients. Our primary outcomes, mortality, and persistence of HE were reported by all four studies. Albumin was found to significantly decrease mortality in patients with HE [risk ratio (RR) 0.52, 95% CI 0.32-0.83; I2 =0%]. Persistence of HE was found to be comparable between the two groups (RR 0.83, 95% CI 0.68-1.00; I2 =24%). There was no significant difference between the albumin and control groups regarding length of hospital stay (MD -1.55, 95% CI -3.5 to 0.14; I2 =41%), adverse events (RR 1.00, 95% CI 0.87-1.16; I2 =0%), and severe adverse events (RR 0.89, 95% CI 0.59-1.35). Conclusion: Albumin administration in patients with hepatic encephalopathy decreases mortality but does not significantly impact the persistence of HE. Further high-quality, large-scale randomized controlled trials are needed to provide conclusive evidence.
RESUMEN
The aim of this narrative review is to synthesize existing evidence-based knowledge on juvenile idiopathic arthritis-associated uveitis (JIA-U). We highlight epidemiology, pathophysiology, causes and genetics, risk factors, clinical features, diagnosis and screening, laboratory biomarkers, treatment options, trials with recent advances, and research challenges pertaining to JIA-U. The prevalence of JIA-U varies with different JIA subtypes, most frequently associated with the oligoarticular subtype. The risk factors involved in the development of JIA-U include younger age, antinuclear antibody (ANA) positivity, and the oligoarticular subtype of JIA, along with some specific major histocompatibility complex genes. Certain laboratory biomarkers, such as ANA, rheumatoid factor, interferon-λ, erythrocyte sedimentation rate, and transthyretin, have been used in JIA-U diagnosis, progress monitoring, and prognostication. Clinical features of JIA-U can range from asymptomatic to ophthalmic symptoms like redness, blurred vision, decreased visual acuity, hypopyon, and posterior uveitis, which can lead to retinal detachment and macular edema. The management protocol involves topical and systemic steroids, cycloplegics, disease-modifying antirheumatic drugs, biologic drugs, and surgical options. Early detection combined with prompt treatment is crucial to preventing irreversible vision loss in JIA-U.
RESUMEN
Diabetic kidney disease (DKD) is a significant complication of diabetes that requires innovative interventions to address its increasing impact. Precision medicine is a rapidly emerging paradigm that shows excellent promise in tailoring therapeutic strategies to the unique profiles of individual patients. This abstract examines the potential of precision medicine in managing DKD. It explores the genetic and molecular foundations, identifies biomarkers for risk assessment, provides insights into pharmacogenomics, and discusses targeted therapies. Integrating omics data and data analytics provides a comprehensive landscape for making informed decisions. The abstract highlights the difficulties encountered during the clinical implementation process, the ethical factors to be considered, and the importance of involving patients. In addition, it showcases case studies that demonstrate the effectiveness of precision-based interventions. As the field progresses, the abstract anticipates a future characterized by the integration of artificial intelligence in diagnostics and treatment. It highlights the significant impact that precision medicine can have in revolutionizing the provision of care for DKD.