Recent sepsis definitions for the general population include Sequential Organ Failure Assessment (SOFA)≥2 for patients admitted to intensive care unit (ICU), and quick SOFA (qSOFA)≥2 for non-ICU patients. The objective of this study was to validate the predictive value of SOFA and qSOFA in immunocompromised patients.
Adult patients admitted between 2014-2017 with ICD-9 and ICD-10 codes for hematologic malignancies or transplant diagnoses who had suspected infection were included. Index date of suspected infection was defined as the time when blood culture was obtained, followed by intravenous antibiotic therapy, or vice versa (based on the definition used in SEPSIS-3 study, Seymour et al). SOFA, qSOFA and SIRS components within 1 day of the index date were extracted from the medical record.
A baseline risk model of mortality was created including age, race, gender, and Charlson comorbidity index. Each score was added to the baseline mortality risk model as a dichotomous variable (SOFA≥2, qSOFA≥2 and SIRS≥2). For each risk model, a receiver operating characteristic (ROC) curve was developed and the area under ROC (AUROC) was calculated. Sensitivities of SOFA≥2, qSOFA≥2 and SIRS≥2 for predicting in-hospital mortality were calculated.
2917 patients with a mean age of 57.0±15.7 were included; 57% were male and 84% white. The most common immunocompromising conditions were solid organ transplantation (45%), lymphoma (24%), acute leukemia (17%) and hematopoietic stem cell transplantation (6%). 217 patients died during index admission (7.4%). The sensitivities of SOFA≥2, qSOFA≥2 and SIRS≥2 for predicting in-hospital mortality were 94.9%, 64.1% and 91.7%, respectively (p<.001 for each score≥2 compared to <2).
In the mortality risk model, the AUROCs for qSOFA, SOFA and SIRS were 0.75, 0.70 and 0.71 respectively (Figure). The AUROC for qSOFA≥2 was significantly higher than for SIRS≥2 and SOFA≥2 (p=.004, p<.001, respectively).
qSOFA≥2 was the strongest predictor of mortality in immunocompromised patients and may aid in risk stratification and clinical decision-making. Additional analyses are needed to evaluate alternative and potentially improved scoring systems for sepsis in immunocompromised populations.
O. Albin, None
R. Putler, None
D. Kaul, None
K. S. Kaye, None
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