Objective: To examine the relationship of uric acid levels in the last one year with exitus due to heart failure (HF) with clinical and demographic data of patients.
Study Design: Cross-sectional, descriptive study.
Place And Duration Of Study: Bilecik State Hospital, Bilecik, Turkey, from January 2019 to January 2020.
Methodology: The files of 90 people who had exitus due to HF were scanned retrospectively. Demographic data and echocardiography results were recorded. Serum uric acid levels were noted in the 2nd month, 6th month, and 12th month by taking the baseline in the last year before exitus. Mean repeated measurements of uric acid levels that changed over time in patients were compared with ANOVA variance analysis. P <0.05 were accepted as statistically significant.
Results: The mean of the left ventricular ejection fraction (LVEF) of the patients was 35.6±6.6%. Mean serum uric acid levels of the patients for one year before excitus were 5.6±2.2 mg/dL (baseline), 6.1±2.3 mg/dL (2th month), 7.1±2.6 mg/dL (6th month), 8.5±3.0 mg/dL (12th month) respectively. There was a statistically significant difference between the basal uric acid mean with the 6th and 12th month uric acid levels both p <0.001. Age and LVEF were not significantly associated with the uric acid increase over time (p=0.250 and p=0.327, respectively) but were statistically different according to gender (p=0.036).
Conclusion: In heart failure with reduced ejection fraction (HFrEF), the uric acid level increases progressively towards the last periods before exitus. This increase is more pronounced in men. Key Words: Heart failure, Serum uric acid levels, Prognosis, Gender.
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http://dx.doi.org/10.29271/jcpsp.2020.08.780 | DOI Listing |
Am J Transl Res
December 2024
Department of Cardiology, Wuhan Asia Heart Hospital Wuhan 430022, Hubei, China.
Objective: To evaluate the impact and prognosis of a multidisciplinary discharge preparation service model for patients with chronic heart failure.
Methods: A total of 100 patients with chronic heart failure who visited the Wuhan Asia Heart Hospital from January 2022 to September 2023 were included. The patients were divided into an experimental group, receiving a multidisciplinary discharge preparation service, and a control group, receiving conventional treatment.
Am J Transl Res
December 2024
Department of Pathology, Cangzhou People's Hospital Cangzhou 061000, Hebei, China.
Objective: To assess the predictive value of peripheral blood inflammatory markers for delayed cerebral ischemia (DCI) in patients with intracerebral hemorrhage (ICH) and explore methods for early intervention.
Methods: This single-center retrospective study reviewed medical records of ICH patients admitted to Cangzhou People's Hospital over a 12-month period from January 2022 to December 2023. Of the 150 identified patients with ICH, including 80 patients without DCI (control group) and 70 with DCI (observation group).
Am J Transl Res
December 2024
Department of Urology, Meizhou People's Hospital (Huangtang Hospital) Meizhou 514031, Guangdong, China.
Objective: To investigate the composition of urinary calculi and its correlation with sex, age, calculi site, urine pH, and underlying diseases.
Methods: The clinical data of 300 patients with urinary calculi admitted to Meizhou People's Hospital from January 2022 to October 2024 were retrospectively analyzed. The composition of urinary calculi and its correlation with sex, age, calculi site, urine pH, and underlying diseases were examined.
Clin Rheumatol
January 2025
Department of Pharmacy Practice and Administrative Sciences, L.S. Skaggs College of Pharmacy, Idaho State University, 1311 E Central Dr, Meridian, ID, 83642, USA.
Scand J Rheumatol
January 2025
Division of Rheumatology, University of Washington, Seattle, WA, USA.
Objective: Although gout is the most common inflammatory arthritis, there are few tools to monitor disease activity and predict complications in gout patients. The neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) are associated with disease activity in various diseases and the NLR has been shown to predict coronary artery disease severity, a common comorbid condition with gout. Thus, we evaluated the use of NLR and MLR as novel biomarkers to measure disease activity and predict cardiovascular disease (CVD) risk in gout patients.
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