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CUMULATIVE FLUID BALANCE AS A MAJOR PREDICTOR OF CLINICAL OUTCOME IN PATIENTS ADMITTED TO SURGICAL INTENSIVE CARE UNIT


Article Information

Title: CUMULATIVE FLUID BALANCE AS A MAJOR PREDICTOR OF CLINICAL OUTCOME IN PATIENTS ADMITTED TO SURGICAL INTENSIVE CARE UNIT

Authors: Muhammad Sohaib, Madiha Hashmi, Faisal Shamim, Fazal Hameed Khan

Journal: Pakistan Armed Forces Medical Journal (PAFMJ)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2021-07-01 2022-06-30
Y 2020-07-01 2021-06-30
Y 1900-01-01 2005-06-30

Publisher: Army Medical College, Rawalpindi.

Country: Pakistan

Year: 2018

Volume: 68

Issue: 6

Language: English

Keywords: Acute Kidney InjuryBody mass indexIntensive Care UnitMechanical ventilation

Categories

Abstract

Objective:
Fluid balance remains a highly controversial topic in the critical care field, and there is no consensus about the amount of fluid required by critically ill patients. In this study, the objective was to find the relationship between fluid balance and in hospital mortality in critically ill surgical patients. Our secondary objective was to identify the association between use of colloid and acute kidney injury and use of blood products and development of ARDS.
Study Design: The medical records of adult patients admitted to a surgical intensive care unit (ICU) >48 hours, from Aug 2014 to Feb 2016 (18 months) were reviewed retrospectively.
Place and Duration of Study: The study was conducted in the surgical intensive care unit of a tertiary care hospital. Medical records of 18 months from Aug 2014 to Feb 2016 were reviewed.
Material and Methods:
Sampling technique was convenience sampling. A total of 100 patients met the inclusion criteria. Abstracted data of patients admitted to surgical intensive care included body mass index, Acute physiology and chronic health evaluation (APACHE)-II scores, fluid balance during first 5 days of ICU stay, length of ICU stay and in hospital mortality. All statistical analysis was performed using statistical packages for social science version 19 (SPSS Inc., Chicago, IL). Frequency and percentage were computed for qualitative observation and were analyze by chi-square test. Mean (±Standard deviation) and median (IQR) were presented for quantitative variables and analyze by independent sample t-test and Mann-Whitney test ...........


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