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Gout Flare clinical trials

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NCT ID: NCT06273813 Not yet recruiting - Acute Pain Clinical Trials

Treatment of Topical Ketorolac Gel in Acute Gouty Flare

Start date: February 2024
Phase: Phase 1
Study type: Interventional

This study will be a phase 1, open-label, bioavailability, safety and PK study of topically applied transcutaneous ketorolac tromethamine gel 12.5% (/w) (NOV-1776) versus intravenous administration of approved ketorolac tromethamine injection, USP (15mg/mL) comparator in healthy volunteers, including an evaluation of safety, tolerability, and efficacy in gout participants with flare-up.

NCT ID: NCT06207045 Not yet recruiting - Gout Flare Clinical Trials

The Effects of Limb Elevation During Gout Flare Episodes

Start date: February 1, 2024
Phase: N/A
Study type: Interventional

The goal of this open-label randomized controlled trial is to explore the benefit of limb elevation in inpatient gout flare episodes, compared with standard treatment The main questions are; - Is limb elevation able to reduce pain during gout flare episodes to a greater degree compared with standard treatment ? - Is Is limb elevation able to reduce joint swelling during gout flare episodes to a greater degree compared with standard treatment ? Participants will be divided into 2 group; 1. Limb elevation group 2. control group All participants will receive standard medical therapy consisting of colchicine 0.6 mg per day plus prednisolone 30 mg per day for 2 days Pain score and joint circumference will be recored at recruitment, 24 hour and 48 hour

NCT ID: NCT06197828 Active, not recruiting - Sepsis Clinical Trials

Novel Biomarkers for Early Renal Injury in Children With Sepsis

Start date: May 1, 2021
Phase:
Study type: Observational

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.

NCT ID: NCT05936268 Recruiting - Gout Flare Clinical Trials

Safety and Efficacy of Genakumab for Injection in Patients With Gout Flare

Gensci 048-203
Start date: June 30, 2023
Phase: Phase 2
Study type: Interventional

To evaluate the safety and efficacy of Genakumab for Injection in patients with gout flare as a first line therapy

NCT ID: NCT05658575 Recruiting - Arthritis Clinical Trials

Study of Dapansutrile Tablets in Subjects With an Acute Gout Flare

Start date: January 6, 2023
Phase: Phase 2/Phase 3
Study type: Interventional

The purpose of this trial is to investigate the efficacy and safety of dapansutrile (OLT1177®) tablets in subjects with an acute gout flare.

NCT ID: NCT05586971 Recruiting - Gout Clinical Trials

Tigulixostat, Phase 3 Study, Allopurinol Controlled in Gout Patients

EURELIA2
Start date: March 30, 2023
Phase: Phase 3
Study type: Interventional

The aim of this 12-month randomized multi-regional double-blind parallel group allopurinol and placebo-controlled phase 3 study is to assess the efficacy and safety of three different doses of Tigulixostat in gout patients with hyperuricemia.

NCT ID: NCT05586958 Recruiting - Gout Clinical Trials

Tigulixostat, Phase 3 Study, Placebo Controlled in Gout Patients

EURELIA1
Start date: October 25, 2022
Phase: Phase 3
Study type: Interventional

The aim of this 6-month randomized multi-regional double-blind parallel group placebo-controlled phase 3 study is to assess the efficacy and safety of three different doses of Tigulixostat in gout patients with hyperuricemia.

NCT ID: NCT05522504 Recruiting - Gout Flare Clinical Trials

Distribution of Immune Cells and Their Subtypes in Peripheral Blood of Gout

Start date: September 15, 2021
Phase:
Study type: Observational

The purpose of this study is to evaluate whether immune cells and their subtypes in peripheral blood affects the asymptomatic hyperuricemia, gout flare, intercritical gout and advanced gout.

NCT ID: NCT05256303 Completed - Asthma Clinical Trials

Rural Hospital-Level Care at Home for Acutely Ill Adults

Start date: February 16, 2022
Phase: N/A
Study type: Interventional

This study examines the implications of providing hospital-level care in rural homes.

NCT ID: NCT05045742 Active, not recruiting - Asthma Clinical Trials

Prediction of Patient Deterioration Using Machine Learning

Start date: March 20, 2021
Phase:
Study type: Observational

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.