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5099 Time to Treatment for Patients with Suspected Acute Promyelocytic Leukemia (APL)

Program: Oral and Poster Abstracts
Session: 903. Health Services and Quality Improvement –Myeloid Malignancies: Poster III
Hematology Disease Topics & Pathways:
Clinical Practice (Health Services and Quality)
Monday, December 11, 2023, 6:00 PM-8:00 PM

Grant Jirka, MD1, Tara Rakiewicz, MD2, Navya George, MD3*, Misung Yi, PhD4*, Margaret Kasner, MD5, Gina Keiffer, MD5 and Lindsay Wilde, MD6

1Department of Hematology and Medical Oncology, University of Southern California/Los Angeles General Hospital, Los Angeles, CA
2Department of Medical Oncology, Jefferson Health, Philadelphia, PA
3Department of Internal Medicine, Boston University Medical Center, Boston, MA
4Division of Biostatistics, Jefferson Health, Philadelphia, PA
5Division of Hematologic Malignancies and Hematopoietic Stem Cell Transplantation, Department of Medical Oncology, Jefferson Health, Philadelphia, PA
6Division of Hematologic Malignancies and Hematopoietic Stem Cell Transplantation, Department of Medical Oncology, Sidney Kimmel Cancer Center, Jefferson Health, Philadelphia, PA

Introduction:

Acute promyelocytic leukemia (APL) is a rare subtype of acute myeloid leukemia characterized by dysplastic promyelocytes which cause aberrations in coagulation, including hemorrhage and disseminated intravascular coagulation (DIC), leading to a rapidly fatal course if treatment is not initiated promptly. Early administration of all-trans retinoic acid (ATRA) in patients suspected of having APL is crucial for reducing morbidity and mortality. However, APL still exhibits a high early death rate in part due to failure to rapidly initiate ATRA. Therefore, we conducted a retrospective study to investigate the time it takes for ATRA to be ordered and administered to patients with suspected APL at our tertiary care University hospital. We also examined demographic and clinical variables to identify any opportunities for quality improvement.

Methods:

We queried our electronic medical record (EMR) for all adult patients without a prior diagnosis of APL from 2017-2021 who received at least one dose of ATRA at Thomas Jefferson University Hospital. Our analysis included 91 patients. We collected a wide range of demographic and clinical data (Table 1). The time of admission was defined as the time the admission order was placed in the EMR, and the time of administration was defined as the time the nurse marked the medication as administered.

A simple general linear model was used to evaluate univariate association between each single covariate and each log transformed outcome. Model selection by Akaike information criterion (AIC) was conducted to identify the best model according to goodness of fit criteria. The smaller the AIC value, the better the model fit. The parsimonious models were obtained using backward elimination of non-significant predictors (p-values > 0.05) from the best models according to goodness of fit criteria (AIC).

Results:

The mean time for interval A (time from hospital admission to ordering ATRA) was 284 minutes, the mean time for interval B (time from ATRA order being placed to ATRA administration) was 104 minutes, and the mean time for interval C (time from admission to ATRA administration) was 388 minutes. Further analysis of the time intervals is presented in Table 2.

The results of the demographic and clinical variables (Table 1) show that the majority of patients were transferred from an outside hospital (89%) and admitted overnight (87%). Consequently, ATRA was most often ordered (76%) and administered (70%) overnight. Only 26 (29%) patients were ultimately confirmed to have APL. During the index admission, patients required a mean of 6 units of packed red blood cells and 9 units of platelets. A quarter of patients were noted to have signs or symptoms of bleeding upon admission.

The results of the multiple linear regression analysis are shown in Table 2. Only signs or symptoms of bleeding were associated with a statistically significant decrease in time to ATRA. Patients with signs of symptoms of bleeding experienced, on average, 39% less time from admission to ATRA being ordered (95% CI: 0.396-0.946, p=0.030) and 31% shorter time from admission to ATRA administration compared to those without signs or symptoms of bleeding (95% CI: 0.489-0.967, p=0.034).

Conclusions:

Our study highlights that, even at a large, resource-rich, academic medical center, the time to ATRA administration in patients with suspected APL is longer than optimal. The presence of bleeding was the only variable that significantly decreased the time to ATRA. Earlier identification of bleeding risk (including evolving DIC or thrombocytopenia), increased recognition of possible acute leukemia, and more rapid hematology/oncology consultation could help to decrease the time to ATRA and to avoid bleeding complications before they start.

Additionally, we found that most patients (89%) were transferred from an outside hospital. Although we were not able to quantify the time from outside hospital admission to transfer, we suspect that the time was substantial and that there are even greater opportunities to improve the care of these patients by increasing ATRA availability at community hospitals, enhancing the education of all front-line providers regarding the prompt recognition of coagulopathy in the setting of suspected acute leukemia, and improving transfer center acceptance documentation that emphasizes the concern for APL and appropriate next steps in evaluation and treatment.

Disclosures: Kasner: Astellas: Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; BMS: Research Funding; Kronos: Membership on an entity's Board of Directors or advisory committees; Gilead: Research Funding; Kartos/Telios: Research Funding. Keiffer: Cyteir Therapeutics: Research Funding; Prelude Therapeutics: Research Funding; Astellas: Membership on an entity's Board of Directors or advisory committees; Abbvie: Research Funding. Wilde: Protagonist: Research Funding; Gilead: Research Funding.

*signifies non-member of ASH