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STUDY TO KNOW THE INCIDENCE OF HYPOALBUMINEMIA IN CRITICALLY ILL PATIENTS ADMITTED TO INTENSIVE CARE UNIT

Authors: Dr Mohammad Ammar Farooq, Dr Zakawat Hussain, Dr Junaid Anwar;

STUDY TO KNOW THE INCIDENCE OF HYPOALBUMINEMIA IN CRITICALLY ILL PATIENTS ADMITTED TO INTENSIVE CARE UNIT

Abstract

Objective: Problem of hypoalbuminemia is a commonly found among those patients who are having chronic and acute medical conditions. Level of serum albumin is counted as an essential prognostic indicator. The aim of our study was to determine the frequency of hypoalbuminemia in the admitted patients who are critically ill and whose admission was in tertiary care hospital`s intensive care unit (ICU). Study Design: Cross sectional study Place and Duration of Study: This study was conducted at the Department of General Medicine, Mayo Hospital Lahore from January 2020 to July 2020. Materials and Methods: 178 patients fulfilling inclusion criteria were enrolled in this study. Patients were admitted to ICU. After shifting, blood sample was obtained through staff nurse by using 5cc BD syringe. All samples were sent to the laboratory of the hospital for assessment of albumin level to reach the outcome i.e. hypoalbuminemia. All this information was recorded a proforma. Results: Mean age of the patients was 50.66 (SD=7.97) years. There were 93(52.25%) male and 85(47.75%) female. Hypoalbuminemia`s frequency in those patients who are critically ill and whose admission was in intensive care unit (ICU) came out to be in 26.79% (48/178) patients. Conclusion: In conclusion, albumin has major role in severity of disease. Serum albumin measurement during the period of admission to the intensive care unit (ICU) could be utilized as a biomarker in order to facilitate the recognition of group of patients at high risk. Key Words: Hypoalbuminemia, critically ill patients, serum albumin

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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