Abstract
Inflammation is known to be associated with posttraumatic stress disorder (PTSD). It is not known if total white blood cell (WBC) count, a routinely checked inflammatory marker, is associated with PTSD symptom trajectories using medical record data. We used latent class growth analysis to identify three-year PTSD symptom trajectories using PTSD Checklist (PCL) scores. The outcome for each patient was maximum WBC count from index PTSD diagnosis to last PCL. Using linear regression analysis, we then calculated and compared the average WBC count for each trajectory before and after controlling for age, gender, race, obesity, smoking, diabetes, hypertension, cardiovascular disease, depression and other co-morbid inflammatory conditions. Patients were 40.2 (SD±13.5) years of age, 83.7% male and 67.9% white. We identified three PCL trajectory groups based on symptom severity over time: 'moderate-large decrease', 'moderate severe-slight decrease', and 'severe-persistent'. In adjusted analyses, 'severe-persistent' vs. 'moderate-large decrease' had significantly higher WBC count (B=0.64; 95%CI=0.18, 1.09; p=.006). Although non-significant, 'moderate severe-slight decrease' vs. 'moderate-large decrease' also had a higher WBC count (B=0.4...Continue Reading
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