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Rev Esp Anestesiol Reanim ; 62(4): 184-90, 2015 Apr.
Article in English, Spanish | MEDLINE | ID: mdl-25048994

ABSTRACT

OBJECTIVE: To determine the influence of demographics, medical, and surgical variables on 30-day mortality in patients who need continuous renal replacement therapy (CRRT). MATERIALS AND METHODS: A retrospective-following study was conducted using the data of 112 patients admitted to the postoperative intensive care unit who required CRRT, between August 2006 and August 2011, and followed-up for 30 days. The following information was collected: age, gender, history of HBP, DM, cardiovascular disease, and CKD, urgent surgery, surgical speciality, organic dysfunction according to the SOFA scale, the number of organs with dysfunction, use of mechanical ventilation, diagnostic and origin of sepsis, type of CRRT, and 30-day mortality. General linear models were used for estimating the strength of association (relative risk [RR], and 95% confidence interval [CI] between variables and 30-day mortality. RESULTS: In the univariant analysis, the following variables were identified as risk factors for 30-day mortality: age (RR 1.04; 95% CI 1.01-1.06; P=.0005), and history of cardiovascular disease (RR 1.57; 95% CI 1.02-2.41; P=.039). Among the variables included in the multivariable analysis (age, history of cardiovascular disease, sepsis, and number of organs with dysfunction), only age was identified as an independent risk factor for 30-day mortality (RR 1.03; 95% CI 1.00-1.05; P=.007). CONCLUSION: Thirty-day mortality in postoperative, critically ill patients who require CRRT is high (41.07%). Age has been identified as an independent risk factor, with renal failure as the most common indication for the use of these therapies.


Subject(s)
Acute Kidney Injury/therapy , Critical Illness , Hospital Mortality , Postoperative Complications/mortality , Renal Replacement Therapy , Acute Kidney Injury/epidemiology , Acute Kidney Injury/etiology , Adult , Age Factors , Aged , Cardiovascular Diseases/epidemiology , Female , Humans , Intensive Care Units , Kidney Failure, Chronic/epidemiology , Linear Models , Male , Middle Aged , Multiple Organ Failure/epidemiology , Retrospective Studies , Risk Factors , Sepsis/epidemiology , Severity of Illness Index , Specialties, Surgical , Young Adult
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