Abstract
Introduction: Rhabdomyolysis is often encountered in austere environments where the diagnosis canbe challenging due to the expense or unavailability of creatine phosphokinase (CPK) testing. CPK concentration=5,000 U/L has previously been found to be a sensitive marker for progression to renal failure. This study sought topropose a model utilizing an alternate biomarker to allow for the diagnosis and monitoring of clinically significantrhabdomyolysis in the absence of CPK. Materials and Methods: We performed a retrospective chart review of 77patients admitted to a tertiary medical center with a primary diagnosis of rhabdomyolysis. A linear regression modelwith aspartate aminotransferase (AST) as the independent variable was developed and used to predict CPK =5,000 U/Lon admission and CPK values on subsequent hospital days. The study was approved and monitored by the InstitutionalReview Board at Walter Reed National Military Medical Center. Results: Ln(AST) explained over 80% of the variancein ln(CPK) (adjusted R2 = 0.802). The diagnostic accuracy to predict CPK =5,000 U/L was high (AUC 0.959; 95%CI: 0.921-0.997, P < 0.001). A cut point of AST =110 U/L in our study population had a 97.1% sensitivity and an85.7% specificity for the detection of a CPK value =5,000 U/L. The agreement between actual CPK and predictedCPK for subsequent days of hospitalization was fair with an intraclass correlation coefficient of 0.52 (95% CI:0.38-0.63). The developed model based on day 1 data tended to overpredict CPK values on subsequent hospital days.Conclusions: We propose a threshold concentration of AST that has an excellent sensitivity for detecting CPK concentration =5,000 U/L on day of admission in a patient population with a diagnosis of rhabdomyolysis. A formula with afair ability to predict CPK levels based on AST concentrations on subsequent hospital days was also developed.
| Original language | English |
|---|---|
| Pages (from-to) | 820-825 |
| Number of pages | 6 |
| Journal | Military Medicine |
| Volume | 184 |
| Issue number | 11-12 |
| DOIs | |
| State | Published - 1 Nov 2019 |
| Externally published | Yes |