DOI: http://dx.doi.org/10.18203/2349-3291.ijcp20210657

Red cell distribution width as predictor tool in critically ill neonate

Kotyal B. Mahendrappa, Shravya S. Rao

Abstract


Background: Neonatal sepsis is one of the most common causes for critically ill neonate. Early recognition and prompt treatment are crucial. Red cell distribution width (RDW) varies significantly in such conditions. This study aims at finding the relation between RDW and critically ill neonate.

Methods: This hospital based prospective cohort study was conducted on 60 neonates with suspected sepsis. The RDW values were collected at admission and after 72 hours of admission. The primary outcome measures were mortality and recovery from illness. Statistical analysis was done using statistical package for the social sciences (SPSS) 22 version software with appropriate statistical methods applied.

Results: The mean RDW in our study group was 14.788±2.138. Receiver operating characteristic (ROC) curve for RDW at 72 hours of admission revealed area under curve (AUC) 0.810 at 14% cut-off with sensitivity of 81.25%, specificity of 72.73%, positive predictive values (PPV) 52% and negative predictive values (NPV) 91.4% with p<0.0001.

Conclusions: RDW is a simple, easily available, rapid test to predict the outcome in critically ill neonate.


Keywords


Critically ill, Neonatal sepsis, RDW

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References


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