
In‐Hospital Outcomes of Tumor Lysis Syndrome: A Population‐Based Study Using the National Inpatient Sample
Author(s) -
Durani Urshila,
Shah Nilay D.,
Go Ronald S.
Publication year - 2017
Publication title -
the oncologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.176
H-Index - 164
eISSN - 1549-490X
pISSN - 1083-7159
DOI - 10.1634/theoncologist.2017-0147
Subject(s) - medicine , confidence interval , logistic regression , comorbidity , tumor lysis syndrome , cancer , population , epidemiology , chemotherapy , environmental health
The epidemiology and outcomes of tumor lysis syndrome (TLS) are understudied. We used the National Inpatient Sample (NIS), a nationally representative weighted sample of all U.S. hospital discharges, to study outcomes and predictors of mortality in hospitalized patients with TLS. The NIS was queried for patients with a discharge diagnosis of TLS (ICD‐9 code 277.88) from 2010–2013. Baseline characteristics and outcomes were analyzed. A multivariable logistic regression analysis was performed to identify predictors of mortality. From 2010–2013, 28,370 patients were discharged with a diagnosis of TLS. The most common malignancies were non‐Hodgkin lymphoma (30%), solid tumors (20%), acute myeloid leukemia (19%), and acute lymphocytic leukemia (13%). Overall in‐hospital mortality was 21%. The median length of stay was 10 days (IQR 5‐22). Sixty‐nine percent of patients experienced a severe complication, including sepsis (22%, 95% confidence interval [CI] 21–23), dialysis (15%, 95% CI 14–16), acute respiratory failure (23%, 95% CI 22–24), mechanical ventilation (16%, 95% CI 15–17), gastrointestinal hemorrhage (6%, 95% CI 5–7), cerebral hemorrhage (2%, 95% CI 2–3), seizures (1%, 95% CI 0.6–1), and cardiac arrest (2%, 95% CI 2–3). Predictors of mortality were derived from a multivariable logistic regression and included age, Elixhauser comorbidity score, insurance status, teaching versus nonteaching hospital, and cancer type. Predictors of increased length of stay included age, race, teaching versus nonteaching hospital, and cancer type. In the U.S., many patients with TLS develop life‐threatening complications and a quarter die during hospitalization. As more cancer treatments become available, strategies to improve the supportive care of patients with TLS should be a priority.