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The utility of bandemia in prognostication and prediction of mortality in sepsis. | LitMetric

AI Article Synopsis

  • Bandemia, defined as a band count higher than 10%, serves as a marker for underlying infections and is being utilized for the early detection of sepsis in patients.
  • A study examined the correlation between trends in bandemia and clinical outcomes among ICU patients with sepsis/septic shock by analyzing band counts, serum lactate levels, and SOFA scores at admission and after 72 hours.
  • Results showed that bandemia trends decreased for patients whose SOFA scores improved but increased for those whose scores worsened, suggesting that monitoring band levels could help predict patient prognosis and clinical trajectory.

Article Abstract

Bandemia, defined as a band count >10%, is indicative of underlying infection and is increasingly being used for early detection of sepsis. While an absolute band level has been linked to worse outcomes, its trend has not been extensively studied as a prognostic marker. In this study, we assessed patients admitted to the ICU with sepsis or septic shock and evaluated the correlation between bandemia trends and clinical trajectory among these patients. This study was a retrospective chart review. Band counts, serum lactate levels, and SOFA scores at 0 and 72 h after admission to the ICU were collected. Patients were risk stratified into groups depending on their SOFA trends, and corresponding band trends and serum lactate levels were compared. 134 patients were included for analysis. There was a statistically significant decrease in bandemia trends for patients with a reduction in SOFA scores , and a statistically significant increase in bandemia trends for patients with worsening SOFA scores . Early trends of serum band levels in patients with sepsis or septic shock may help to predict a clinical trajectory and overall prognosis. More investigation is warranted as to whether incorporating bandemia trends, when used in conjunction with other known markers such as lactate levels, may help to guide bedside clinical decisions such as risk stratification, tailored therapies, and ultimately improve outcomes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227906PMC
http://dx.doi.org/10.1177/17511437211069307DOI Listing

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