PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 30, 2026Journal of Clinical Oncology0 citations

Clinical risk factors and outcomes of tumor lysis syndrome in hospitalized patients with malignancy.

View Full Paper
OOOktrian OktrianAVAkhil Deepak VatvaniIDI Damara

Key Points

  • This study aims to identify clinical factors associated with tumor lysis syndrome (TLS) and to assess their impact on in-hospital mortality.
  • Analyzed adult hospitalizations with TLS using ICD-10 codes from the National Inpatient Sample (2016–2021).
  • Conducted multivariable survey-weighted logistic regression to identify mortality predictors, adjusting for various clinical factors.
  • Estimated outcomes and characteristics using survey-weighted analyses.
  • Identified 88,280 hospitalizations with TLS, with 27.8% mortality in solid tumors versus 14.9% in hematologic malignancies (p<0.001).
  • Sepsis (aOR 4.67, 95% CI 4.29–5.09, p<0.001), acute kidney injury (aOR 3.66, 95% CI 3.26–4.12, p<0.001), and metastatic disease (aOR 1.48, 95% CI 1.28–1.72, p<0.001) were identified as strong mortality predictors.
  • TLS in hematologic malignancies resulted in longer hospital stays (mean 15.4 vs 10.2 days, p<0.001) but a lower mortality risk compared to solid tumors (aOR 0.69, 95% CI 0.60–0.80, p<0.001).

Abstract

e18635 Background: Tumor lysis syndrome (TLS) is a serious oncologic emergency that can occur in both hematologic and solid malignancies. Contemporary real-world data describing which clinical factors are associated with TLS and which factors drive mortality once TLS occurs are limited. Methods: We analyzed adult hospitalizations with TLS in the National Inpatient Sample (2016–2021) using ICD-10 codes. Survey-weighted analyses described baseline characteristics and outcomes. Multivariable survey-weighted logistic regression was used to identify independent predictors of in-hospital mortality, adjusting for age, sex, race, payer, income quartile, acute kidney injury (AKI), chronic kidney disease (CKD), hyperuricemia, dehydration, sepsis, metastatic disease, and hospital characteristics. Results: An estimated 88, 280 hospitalizations with TLS were identified; 82. 2% occurred in patients with hematologic malignancies and 17. 8% in those with solid tumors. Patients with TLS commonly had acute kidney injury (AKI) and sepsis, and solid-tumor TLS was frequently associated with metastatic disease. Crude in-hospital mortality among patients with TLS was 27. 8% in solid tumors and 14. 9% in hematologic malignancies (p<0. 001). After multivariable adjustment, the strongest independent predictors of in-hospital mortality were sepsis (adjusted odds ratio aOR 4. 67, 95% CI 4. 29–5. 09, p<0. 001), AKI (aOR 3. 66, 95% CI 3. 26–4. 12, p<0. 001), and metastatic disease (aOR 1. 48, 95% CI 1. 28–1. 72, p<0. 001). Compared with solid tumors, TLS associated with hematologic malignancies was independently associated with lower mortality (aOR 0. 69, 95% CI 0. 60–0. 80, p<0. 001). TLS associated with hematologic malignancies resulted in longer hospitalizations (mean length of stay 15. 4 vs 10. 2 days, p<0. 001) and higher total charges (mean 256, 980 vs 148, 140, p<0. 001). After adjustment, malignancy type was not independently associated with dialysis (aOR 1. 06, p=0. 54), ICU-level care (aOR 1. 30, p=0. 10), mechanical ventilation (aOR 0. 81, p=0. 13), or non-home discharge (aOR 0. 95, p=0. 40). Conclusions: Among hospitalized patients with TLS, sepsis, acute kidney injury, and metastatic disease are the dominant drivers of mortality, regardless of malignancy type. Although TLS occurs more frequently in hematologic malignancies, TLS associated with solid tumors carries a substantially higher risk of death. Early identification and aggressive management of high-risk patients may improve outcomes.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Oktrian et al. (2026) studied this question.

synapsesocial.com/papers/6a1a818e0307b785094336c2https://doi.org/10.1200/jco.2026.44.16_suppl.e18635
Ask AI
Helpful
Bookmark
Share
View Full Paper