Study on the utilities of the role of biomarkers like albumin, CRP, PCT and blood urea nitrogen to serum albumin (B/A) ratio in the prediction of development of complications, prognosis, and need of ICU during the course of CAP
Journal Title: International Journal of Biomedical and Advance Research - Year 2016, Vol 7, Issue 7
Abstract
Context: Community-acquired pneumonia (CAP) is a serious illness. Early studies of community-acquired pneumonia reported that nonsurvivors had higher blood urea nitrogen levels and lower serum albumin levels than survivors. Therefore, elevation of the blood urea nitrogen to serum albumin (B/A) ratio may classify patients with community-acquired pneumonia who are becoming critically ill. Aim: To study the role of biomarkers in the prediction of development of complications, prognosis and need of ICU during the course of community-acquired pneumonia (CAP). Settings and Design: This is a retrospective study. Material and Method: The present study was conducted in the department of Biochemistry. 200 patients data, required for the study was collected from the online LIS system, Chest- Medicine ward and medical ICU department. Statistical Analysis Used: Statistical analysis was performed by Pearsons correlation coefficient (r) and ROC plots. Results: B/A, PCT, and CRP are statistically significantly positively correlated with the severity of the CAP, decided on the base of PSI and CURB-65 scoring system. (Correlation coefficient r=0.7368, 0.6412 and 0.8064 respectively. P<0.0001). These biomarkers also have good sensitivity and specificity for deciding need of the ICU during the course of CAP. Conclusions: In our present study, we found an expressive and unaided positive correlation between B/A (BUN-Blood urea nitrogen/Albumin) ratio and severity of CAP. Both serum biochemical markers, blood urea nitrogen and albumin, are commonly used and can be measured promptly. Thus, our study suggests that the B/A ratio on admission can be a rapid, simple, cost-effective and predictable prognostic and severity indicator for CAP.
Authors and Affiliations
Kinjal Prahaladbhai Patel, Mayur Goradhanbhai Makadia, Vishwal Indravadan Patel, Aashna Darshanbhai Shah, Kaushik Salubhai Chaudhari, Haridas Neelakandan Nilayangode
Keywords
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- EP ID EP366635
- DOI 10.7439/ijbar.v7i7.3438
- Views 83
- Downloads 0
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