Thirty-day readmission in patients with brain cancer and venous thromboembolism: A nationwide analysis using the national readmissions database

Abstract Background: Venous thromboembolism (VTE) is a common and life-threatening complication in patients with brain cancer. However, little is known about the predictors and consequences of 30-day readmissions in this population. Using a nationally representative administrative database, we aimed to identify both patient and hospital-level factors that predict early readmission and to characterize the clinical and economic burden associated with these readmissions, including their impact on in-hospital mortality, length of stay (LOS), and hospitalization costs. Methods: We conducted a retrospective cohort study using the 2016–2017 Nationwide Readmissions Database (NRD), which is a weighted and stratified dataset representative of hospital discharges across the U.S. We included adults (≥18 years) with a principal or secondary ICD-10-CM diagnosis of brain cancer (C71.x, C7931) and concurrent VTE who were admitted non-electively and discharged by November. The primary outcome measured was the rate of 30-day all-cause unplanned readmission. Secondary outcomes included in-hospital mortality, LOS, and total hospitalization charges (adjusted for inflation to 2017 USD). To ensure national representativeness, we incorporated complex survey design elements (weights, strata, clustering). Multivariable survey-weighted logistic regression was used to identify independent predictors of readmission. Results: Among 21,669 weighted index hospitalizations that met the inclusion criteria, we found that 3,515 patients were readmitted, resulting in a 30-day readmission rate of 16.2% (95% CI: 15.4-17.1). The mortality rates during index and readmission hospitalizations were 14.0% (n=3,033) and 15.0% (n=552), respectively. Readmitted patients experienced considerable healthcare use, with a median LOS of 4 days (IQR: 2-7) and median charges of $36,305 (IQR: $19,815-$68,287). In our adjusted models, discharge to a non-home setting from the index hospitalization was significantly associated with lower odds of readmission (OR 0.41, 95% CI: 0.26–0.65; p < 0.001). Notably, no other demographic, hospital-level, or comorbidity variables—including age, sex, income, or common comorbidities (from the Elixhauser Index)—were found to be independently associated with 30-day readmission. A longer index LOS (>4 days) showed a non-significant trend toward an increased risk of readmission (OR 1.44, 95% CI: 0.82-2.51). Conclusions: Thirty-day readmissions are frequent and have serious clinical implications for patients with concurrent brain cancer and VTE. The national mortality rate approaches 15% during both index and readmission hospitalizations. Contrary to initial expectations, most demographic, clinical, and hospital-level factors did not independently correlate with readmission risk. However, discharge to non-home settings, which may indicate access to rehabilitation or palliative services, was associated with significantly lower readmission rates. These findings highlight the need for tailored discharge planning and effective post-acute care coordination to improve outcomes for this high-risk neuro-oncologic population.

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Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-7984
Primary Topic
Venous Thromboembolism Diagnosis and Management
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article
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article

Thirty-day readmission in patients with brain cancer and venous thromboembolism: A nationwide analysis using the national readmissions database

Blood
Venous Thromboembolism Diagnosis and Management
article

Thirty-day readmission in patients with brain cancer and venous thromboembolism: A nationwide analysis using the national readmissions database

article en

Abstract

Abstract Background: Venous thromboembolism (VTE) is a common and life-threatening complication in patients with brain cancer. However, little is known about the predictors and consequences of 30-day readmissions in this population. Using a nationally representative administrative database, we aimed to identify both patient and hospital-level factors that predict early readmission and to characterize the clinical and economic burden associated with these readmissions, including their impact on in-hospital mortality, length of stay (LOS), and hospitalization costs. Methods: We conducted a retrospective cohort study using the 2016–2017 Nationwide Readmissions Database (NRD), which is a weighted and stratified dataset representative of hospital discharges across the U.S. We included adults (≥18 years) with a principal or secondary ICD-10-CM diagnosis of brain cancer (C71.x, C7931) and concurrent VTE who were admitted non-electively and discharged by November. The primary outcome measured was the rate of 30-day all-cause unplanned readmission. Secondary outcomes included in-hospital mortality, LOS, and total hospitalization charges (adjusted for inflation to 2017 USD). To ensure national representativeness, we incorporated complex survey design elements (weights, strata, clustering). Multivariable survey-weighted logistic regression was used to identify independent predictors of readmission. Results: Among 21,669 weighted index hospitalizations that met the inclusion criteria, we found that 3,515 patients were readmitted, resulting in a 30-day readmission rate of 16.2% (95% CI: 15.4-17.1). The mortality rates during index and readmission hospitalizations were 14.0% (n=3,033) and 15.0% (n=552), respectively. Readmitted patients experienced considerable healthcare use, with a median LOS of 4 days (IQR: 2-7) and median charges of $36,305 (IQR: $19,815-$68,287). In our adjusted models, discharge to a non-home setting from the index hospitalization was significantly associated with lower odds of readmission (OR 0.41, 95% CI: 0.26–0.65; p < 0.001). Notably, no other demographic, hospital-level, or comorbidity variables—including age, sex, income, or common comorbidities (from the Elixhauser Index)—were found to be independently associated with 30-day readmission. A longer index LOS (>4 days) showed a non-significant trend toward an increased risk of readmission (OR 1.44, 95% CI: 0.82-2.51). Conclusions: Thirty-day readmissions are frequent and have serious clinical implications for patients with concurrent brain cancer and VTE. The national mortality rate approaches 15% during both index and readmission hospitalizations. Contrary to initial expectations, most demographic, clinical, and hospital-level factors did not independently correlate with readmission risk. However, discharge to non-home settings, which may indicate access to rehabilitation or palliative services, was associated with significantly lower readmission rates. These findings highlight the need for tailored discharge planning and effective post-acute care coordination to improve outcomes for this high-risk neuro-oncologic population.

BloodVol. 146(Supplement 1)
Karachi Medical and Dental College (PK), Liaquat University of Medical & Health Sciences (PK), Khyber Medical College (PK), Valparaiso University (US), Allama Iqbal Medical College (PK), The University of Agriculture, Peshawar (PK), Sarojini Naidu Medical College (IN), Dow University of Health Sciences (PK), GIFT University (PK), University of Engineering and Technology Peshawar (PK), Ziauddin University (PK)
Good health and well-being
Openalex Percentile: Top 30%
Venous Thromboembolism Diagnosis and Management
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