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Critical Care |

Predictors of Mortality in Cirrhotic Patients Admitted to the Hospital on the Day of Admission, A County Experience

Lusanik Galustanian, MD; Chandrasekhar. J, MD; kayvon milani; Greti Petersen, MD
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Internal Medicine, Kern Medical Center, Glendale, CA


Chest. 2015;148(4_MeetingAbstracts):235A. doi:10.1378/chest.2281148
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Abstract

SESSION TITLE: Critical Care Posters II

SESSION TYPE: Original Investigation Poster

PRESENTED ON: Wednesday, October 28, 2015 at 01:30 PM - 02:30 PM

PURPOSE: This study aims to evaluate clinical, laboratory and hemodynamic parameters of mortality in patients with cirrhosis on the day of admission

METHODS: Retrospective chart review of 627 patients with clinical diagnosis of cirrhosis, admitted to the medical service was performed from the Critical Care Section database from January 2011 to December 2013. Clinical data were extracted including age, gender, day of admission- Liver function tests, renal profile, presence of ascites, coagulopathy, pressors, mechanical ventilation, hepatitis C status, and mortality. Data was analyzed using logistic regression model.

RESULTS: A total of 627 cases were admitted to the medicine floor in this time period with cirrhosis, the mortality rate among these patients was 11.7%. The independent predictors of mortality in patients with cirrhosis admitted to the hospital that were statistically significant are as follows: elevated INR (p-value < 0.001, OR=1.011, 95% CI: (1.005, 1.018), elevated Creatinine as a marker of renal function (p-value = 0.001, OR=1.004, 95% CI: (1.002, 1.007) and mechanical ventilation (p-value < 0.001, OR=14.421, 95% CI: (7.267094793 29.2879341)

CONCLUSIONS: Patients admitted to the hospital with underlying cirrhosis have increased mortality for increasing levels of creatinine and worsening coagulopathy, as well as if the patient has mechanical ventilation on day one of admission.

CLINICAL IMPLICATIONS: It is important to identify patients with the clinical and labratory risk factors for short term mortality, to avoid excessive use of resources and to give patients and families an estimate of prognosis based on commonly and easily gathered data.

DISCLOSURE: The following authors have nothing to disclose: Lusanik Galustanian, Chandrasekhar. J, kayvon milani, Greti Petersen

No Product/Research Disclosure Information


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mortality

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