View clinical trials related to Gout Flare.
Filter by:Toxicosis often leads to multiple organ failure (MODS), with the kidney being the primary target organ due to its sensitivity to infection and ischemia. The kidney's vulnerability makes it a potential early indicator of organ failure, implying that further organ failure may occur later, thereby increasing the risk of patient mortality. Several studies conducted on sepsis patients in the Pediatric Intensive Care Unit (PICU) have revealed that 40.32% of sepsis patients experienced complications with acute kidney injury (AKI), and the case fatality rate could rise to 70% once AKI occurred. The Kidney Disease Improving Global Outcomes (KDIGO) scale is commonly used as a diagnostic criterion for AKI. However, the kidney's robust reserve function poses a challenge for early identification, diagnosis, and intervention of AKI since significant increases in creatinine levels and a sharp decrease in urine volume already indicate severe kidney damage. This situation calls for the development of alternative methods. In our previous study, we discovered a strong correlation between urinary oxygen partial pressure and renal organ function impairment in children with sepsis. Building upon traditional biochemical indicators such as blood lactic acid levels, we will incorporate non-invasive tests like urine partial pressure of oxygen, renal ultrasound, and cardiac ultrasound, as well as novel markers like KIM-1, to establish a model for early recognition and assessment of kidney damage in children with sepsis. By utilizing commonly used biomarkers and the precise effects of urinary oxygen partial pressure, we aim to improve early identification and accurate intervention evaluation for pediatric sepsis kidney injury. This research will provide a crucial foundation for the development of early warning systems, diagnostic guidelines, and treatment protocols for pediatric sepsis kidney injury.
This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict patient deterioration throughout a patient's admission. This algorithm was then validated in a validation cohort.
This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict length of stay throughout a patient's admission. This algorithm was then validated in a validation cohort.
The purpose of this study is to determine whether consuming tart cherry juice daily for 12 months reduces the risk of gout attacks during this period. Individuals with an existing gout diagnosis and who have experienced at least one gout flare in the past year will be recruited to participate in this study.