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A comparative study of serum uric acid level in various acute coronary syndromes and its short term prognostic significance using KILLIP classification
Article | IMSEAR | ID: sea-194353
ABSTRACT

Background:

Serum uric acid is increased in ischemic conditions and is significantly higher in patients with acute myocardial infarction. The aim of study was to correlate serum uric acid level with KILLIP class in respect of mortality and morbidity profile of patients with acute coronary syndromes..

Methods:

100 patients fulfilling the standard diagnostic criteria for acute coronary syndromes on the basis of classical history, clinical signs, ECG changes and biomarkers were included in the study. Age and sex matched 50 normal healthy subjects were also included as control group after obtaining informed consent. Serum uric acid level was measured on day 0, 3 and 7 of various ACS.

Results:

There was statistically significant higher level of serum uric acid concentration in patients of AMI on day of admission as compared to controls and unstable angina patients. On all three days of serum uric acid estimation, the serum uric acid levels were higher in AMI patients who were in higher KILLIP class as compared to lower KILLIP class group. Smokers had significantly higher baseline serum uric acid but age, sex, dyslipidemia, hypertension and diabetes mellitus did not significantly affect serum uric acid level at any stage in various ACS patients. Five patients who died during hospital stay, had serum uric acid level more than 7.0 mg/dL and all of them were in KILLIP class III and IV.

Conclusions:

serum uric acid level is a strong and independent risk factor in predicting mortality and morbidity profile of patients of acute myocardial infarction. Also, serum uric acid level correlates well with KILLIP class.

Full text: Available Index: IMSEAR (South-East Asia) Type of study: Prognostic study / Risk factors Year: 2019 Type: Article

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Full text: Available Index: IMSEAR (South-East Asia) Type of study: Prognostic study / Risk factors Year: 2019 Type: Article