Highlights
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• Patients with hematological malignancies have lower rates of intravenous thrombolysis but similar mechanical thrombectomy rates in acute ischemic stroke.
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• Leukemia is linked to higher in-hospital mortality, though reperfusion therapies may mitigate this risk.
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• Early post-discharge recurrence of ischemic stroke is comparable between patients with and without hematological malignancies.
Introduction
Hematological malignancies are associated with an increased risk of ischemic stroke. Reference Zhang, Wang and Du1,Reference Adelborg, Corraini and Darvalics2 Management of acute ischemic stroke (AIS) in the setting of hematological malignancy is challenging as there are no evidence-based guidelines supporting the safety and efficacy of acute reperfusion therapies in this subset of patients. The decision regarding the safe use of intravenous thrombolysis (tPA) requires a careful review of the potential risks and benefits on a case-by-case basis, ideally by both hematologists and vascular neurologists. Reference Ferro and Infante3 Furthermore, there is limited data regarding the rates of stroke recurrence and optimal secondary prevention strategies in these patients. Therefore, in this study, we aimed to (1) compare the utilization of acute reperfusion therapies in patients with AIS with and without hematological malignancies, (2) evaluate in-hospital outcomes according to malignancy subtype and (3) assess the risk of recurrent ischemic stroke after discharge.
Methods
Data source
Data in this study were obtained from the Nationwide Readmissions Database (NRD) 2016–2018, developed by the Agency for Healthcare Research and Quality for the Healthcare Cost and Utilization Project (HCUP). The NRD is an all-payer inpatient care database in the US, containing approximately 57% of the total national hospitalizations from 27 geographically dispersed states. Sampling weights are available to obtain nationally representative estimates. The database contains verified patient linkage numbers that can be used to track all admissions of an individual across different hospitals within a state in a given calendar year. Reference N.R.D.4 The NRD is a publicly available dataset that can be obtained after completion of the HCUP data use agreement. The NRD contains deidentified retrospective data and hence, the Institutional Review Board approval was not needed for this study.
Study population
Each hospitalization in the NRD has a primary discharge diagnosis and up to 40 secondary diagnoses coded using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). The NRD has been extensively used for cerebrovascular outcomes research. Reference Bambhroliya, Donnelly and Thomas5,Reference Vahidy, Donnelly and McCullough6 Prior validation studies have demonstrated that ICD-9/ICD-10 codes for AIS have high accuracy, with sensitivity estimates ranging from 87 to 90% and positive predictive values exceeding 90%. Reference Tirschwell and Longstreth7,Reference Kokotailo and Hill8 These findings support the reliability of ICD-based stroke identification in administrative datasets. We identified hospitalizations with the primary discharge diagnosis of AIS with and without a secondary diagnosis of hematological malignancy. Only the first hospitalization of the year for each individual patient was included. Patients with age <18 years or a concomitant diagnosis of solid organ malignancy were excluded (Figure 1).
Study inclusion and exclusion criteria. Note: AIS = acute ischemic stroke, AMA = against medical advice.

Covariates, in-hospital outcomes and stroke recurrence
The NRD contains information about patient demographics, median household income, expected primary payer (Medicare, Medicaid, private insurance and others), hospital characteristics (bed size and teaching status), length of stay, total hospital charges, in-hospital mortality and discharge disposition. Secondary diagnoses were evaluated to identify the Charlson comorbidities. Reference Quan, Sundararajan and Halfon9 The ICD-10 diagnosis codes were used to identify additional comorbid conditions. The ICD-10 procedure codes were used to identify different medical and surgical interventions performed during the hospitalization. Stroke severity was determined using the Stroke Administrative Severity Index (SASI) score, which is constructed from stroke-like symptoms including aphasia, coma, dysarthria and/or dysphagia, hemiplegia or monoplegia, and neglect and procedures including parenteral nutrition and tracheostomy and/or ventilation. The SASI score is a validated measure to control for stroke severity and it correlates with the National Institute of Health Stroke Scale score at discharge and the 30-day post-discharge outcomes. Reference Simpson, Wilmskoetter and Hong10
Patients with hematologic malignancy were categorized into four primary groups based on ICD-10-CM coding: leukemia, lymphoma, plasma cell neoplasms and histiocytic/other hematologic malignancies. Lymphoma cases were separated into Hodgkin and non-Hodgkin lymphoma, and leukemia cases were subdivided into acute versus other leukemias. The primary outcome of interest was in-hospital mortality. Secondary outcomes included subarachnoid hemorrhage (SAH), intraparenchymal hemorrhage (IPH) and non-routine discharge. Non-routine discharge was defined as discharge to a short-term hospital, rehabilitation facility, home health care or hospice, whereas routine discharge meant discharge to home. Readmissions due to recurrent AIS were evaluated during the available follow-up period (up to 1 year after discharge). For evaluation of readmissions due to AIS, we included subsequent hospitalizations in which the primary discharge diagnosis was AIS. Table S1 (in the Supplement) includes the ICD-10 codes used to define the study population, covariates and clinical outcomes.
Statistical analysis
Sampling weights were utilized to generate national estimates using the survey design methodology. Continuous variables were represented as mean [standard deviation (SD)] and categorical variables as number (percentage). Baseline characteristics were compared between patients with and without malignancy using the chi-square test or 2-tailed student’s t test, as appropriate. Multivariable logistic regression analysis was used to compare the rates of acute stroke interventions and in-hospital clinical outcomes in patients with and without hematological malignancy and among the subgroups of patients treated with tPA or mechanical thrombectomy (MT). All multivariable models were adjusted for age, sex, all medical comorbidities (except malignancy), SASI score, median household income, expected primary payer, hospital bed size and teaching status.
For readmission analysis, hospitalizations with survival to discharge and known discharge disposition were included. Hospitalization records were excluded if the patient was a resident of a different state as the readmissions are not tracked across the state lines. Survival analysis was performed, and Kaplan–Meier curves were created to evaluate the cumulative risk of readmission due to AIS. Readmission due to primary diagnosis of AIS was considered as a failure. Time to readmission was calculated in days, from discharge day of the index hospitalization to the admission day of the subsequent readmission. For patients without readmission, follow-up period was calculated as the number of days from mid-month of the index admission to December 31st of the respective year. Cox proportional hazards regression was performed to compare the risk of readmission between patients with and without malignancy. All reported P-values were two-sided with P < 0.05 considered significant. All analyses were performed using Stata, version 15.0 (StataCorp, College Station, TX).
Results
Study population
There were 1,347,150 hospitalizations due to AIS that met the study inclusion criteria, of which 11,863 (0.9%) had a comorbid diagnosis of hematological malignancy. Among patients with malignancy, 5636 (47.5%) had leukemia, 3852 (32.5%) had lymphoma, 2512 (21.2%) had plasma cell neoplasms and 37 (0.3%) had histiocytic tumors or other hematological malignancies. The mean (SD) age of the study cohort was 70.3 (14.1) years and 50.2% were female. Table 1 shows the differences in baseline characteristics between patients with and without malignancy.
Baseline characteristics of stroke patients, stratified by presence or absence of hematological malignancy

Note: Values in 2nd and 3rd columns are mean (standard deviation) or number (percentage). TIA = transient ischemic attack; SASI = Stroke Administrative Severity Index; DVT = deep vein thrombosis; PE = pulmonary embolism.
Stroke interventions
After adjustment for baseline characteristics and stroke severity, patients with malignancy were less likely to receive tPA [adjusted odds ratio (aOR) 0.77, 95% confidence interval (CI): 0.63–0.93] as compared to patients without malignancy. However, the rates of MT were similar between the two groups (OR: 1.00, 95% CI: 0.98–1.15). In addition, the rates of diagnostic cerebral angiogram, vertebral artery angioplasty/stenting, carotid artery angioplasty/stenting and carotid endarterectomy were also comparable between the two groups. The use of reperfusion therapies (tPA and MT) was both higher at the teaching hospitals as compared to the non-teaching hospitals [OR for tPA use 3.73, 95% CI 3.11-4.47 and OR for MT use 4.27, 95% CI 3.34–5.47].
In-hospital outcomes
Table 2 shows an adjusted comparison of in-hospital outcomes between the different hematological malignancies and patients without malignancy. Patients with leukemia had a higher likelihood of in-hospital mortality (aOR: 1.42, 95% CI: 1.18–1.71) and non-routine discharge (aOR: 1.15, 95% CI: 1.05–1.25). When further subtyped, patients with acute leukemia had markedly higher odds of in-hospital mortality (aOR 4.62, 95% CI 2.84–7.53), SAH (aOR 2.98, 95% CI 1.35–6.57), and non-routine discharge (aOR 1.84, 95% CI 1.34–2.54) compared with patients without malignancy. Among lymphomas, Hodgkin lymphoma was associated with nearly a twofold increased risk of in-hospital mortality (aOR 1.98, 95% CI 1.00–3.90), whereas non-Hodgkin lymphomas, plasma cell neoplasms and histiocytic/other malignancies were not significantly different from the non-cancer group. Among the subgroups of patients treated with tPA or MT, all clinical outcomes were comparable between patients with and without malignancy, except for SAH, which remained significantly more likely in patients with acute leukemias. (Tables S2 and S3).
Differences in clinical outcomes according to malignancy type

Note: All values are odds ratio (95% CI) in reference to patients with no cancer and adjusted for age, sex, comorbidities (except malignancy), Stroke Administrative Severity Index score, median household income, payer, hospital bed size and teaching status.
Recurrent ischemic strokes
For evaluation of readmissions, 155,690 hospitalizations were excluded, and 11,91,460 hospitalizations were included as the index cases. Of these, 53,825 (4.5%) patients were readmitted due to AIS during the mean (SD) follow-up period of 176.7 (107.2) days. The risk of readmission due to AIS was comparable between patients with and without malignancy [hazards ratio (HR): 1.00, 95% CI: 0.88–1.14] (Figure 2). Among patients with malignancy, obesity [adjusted hazards ratio (aHR): 1.44, 95% CI: 1.02–2.04], stroke severity (aHR: 0.98, 95% CI: 0.96–0.99) and age (aHR: 0.90 per 10 years increase in age, 95% CI: 0.82–0.99) were independently associated with the risk of recurrent AIS.
Recurrent ischemic stroke in patients with and without hematological malignancy.

Discussion
Previous studies have reported on reperfusion outcomes in patients with hematologic malignancies and ischemic stroke. Reference Rael, Webb, Brown, Ruff, Keser and Sener11 Our study expands upon this prior work by using a large, nationally representative cohort to compare outcomes across specific hematologic malignancy subtypes and by evaluating post-discharge stroke readmissions. In this nationwide study of 1.3 million hospitalizations with AIS, nearly 1% of patients had a comorbid hematological malignancy, most commonly leukemia. We found that acute leukemias were associated with the highest risk of in-hospital mortality, SAH and adverse discharge disposition. Hodgkin lymphoma was also associated with increased in-hospital mortality, whereas non-Hodgkin lymphoma and other hematological malignancies showed no significant excess risk. We observed a significant disparity in the use of tPA, where patients with malignancy were 23% less likely to receive tPA but the rates of MT were comparable between patients with and without cancer. Our findings are consistent with recent literature showing significantly greater utilization of reperfusion therapies in teaching (or academic) hospitals than in non-teaching/community hospitals. Reference Moradiya, Crystal, Valsamis and Levine12,Reference Qureshi, Bhatti and Gomez13 We found that when indicated, the use of tPA or MT was safe, and among the subgroups of patients treated with these reperfusion therapies, the in-hospital outcomes were comparable between patients with and without cancer, except for SAH, which remained significantly more likely in patients with acute leukemias. Finally, we found that the early risk of recurrent stroke was similar between patients with and without hematological malignancies.
There are important differences between hematologic and solid organ malignancies in the setting of AIS. Prior studies in solid tumors have largely attributed stroke risk to tumor-associated hypercoagulability, systemic inflammation and treatment-related vascular injury. Reference Navi, Reiner and Kamel14–Reference Lau, Wong and Teo16 In contrast, hematologic cancers directly alter circulating blood components and coagulation pathways, producing a unique risk profile that includes both bleeding and thrombotic complications. For example, patients with leukemia may present with hyperleukocytosis, leukostasis or disseminated intravascular coagulation, while those with lymphoma or plasma cell disorders may develop hyperviscosity or therapy-related cytopenias. Reference Ferro and Infante3,Reference Adams17,Reference Del Prete, Kim, Lansigan, Shatzel and Friedman18 These distinctions highlight why hematologic malignancies warrant separate investigation, as stroke mechanisms, treatment eligibility and outcomes may differ substantially from those observed in patients with solid tumors.
Several studies have suggested that hematological cancers, including leukemias, lymphomas and plasma cell neoplasms, are all associated with an increased risk of ischemic stroke. Reference Adelborg, Corraini and Darvalics2,Reference Navi, Reiner and Kamel14,Reference Wei, Chen and Wu19–Reference Del Prete, Kim, Lansigan, Shatzel and Friedman22 This association is likely multifactorial and presumably driven by cancer-associated hypercoagulability, hyperviscosity, cancer therapies (such as radiation, chemotherapy and stem cell transplantation), shared risk factors between cancer and stroke, infections and vascular involvement. Reference Adams17 Acute management of ischemic stroke centers on restoring perfusion with tPA and/or MT. Major clinical trials that established the role of these acute reperfusion therapies in ischemic stroke either excluded patients with active cancer or did not provide sufficient data regarding the safety and effectiveness of their use in the setting of malignancy. 23,Reference Goyal, Menon and van Zwam24 Therefore, there is limited evidence that guides the treatment decisions in these patients. In our study, patients with hematological cancers were less likely to receive tPA but not MT. This finding is in line with results of prior studies in patients with solid organ malignancies. Reference Selvik, Naess and Kvistad15,Reference Owusu-Guha, Guha and Miller25,Reference Pana, Mohamed, Mamas and Myint26 The NRD does not provide information on clinical decision-making or specific contraindications for thrombolysis; therefore, the reasons for lower tPA use in patients with hematologic malignancies cannot be directly determined. Potential explanations include higher rates of thrombocytopenia or coagulopathy, provider concern for hemorrhagic complications, concurrent chemotherapy or invasive procedures and institutional practice variation. These factors likely contribute to the observed differences in the utilization of tPA in these patients and warrant further prospective study. Our findings highlight the need for close collaboration between hematology/oncology and vascular neurology teams when evaluating patients with hematologic malignancies for reperfusion therapies. Multidisciplinary decision-making may help address underuse of tPA by balancing the risks of coagulopathy against the potential benefits of early reperfusion. Future prospective studies are needed to define evidence-based eligibility criteria for IV thrombolysis in patients with hematologic malignancies. In particular, determining safe platelet count thresholds, coagulation parameter cut-offs and the role of transfusion support strategies would help guide individualized decision-making and reduce unnecessary exclusion from reperfusion therapies.
Patients with hematological malignancies are at an increased risk of hemorrhagic and thrombotic complications after AIS. In a nationwide survey of approximately 11,000 patients with acute myeloid leukemia, the authors showed that patients with leukemia had a 5.5-fold increased risk of in-hospital mortality after AIS as compared to those without leukemia. Reference Del Prete, Kim, Lansigan, Shatzel and Friedman22 Hematological malignancies comprise a heterogeneous group of cancers and similar data for other hematological malignancies are lacking. It is also unknown if the utilization of acute reperfusion therapies affects these outcomes. In our study, we found that patients with leukemia had higher in-hospital mortality and adverse discharge disposition. Acute leukemias frequently present with severe cytopenias, DIC or hyperleukocytosis, and therapies such as L-asparaginase further increase thrombotic risk. Infections and treatment-related complications are also disproportionately common in leukemia. Our subgroup analysis indicated that acute leukemias were the primary drivers of this excess mortality. These pathophysiologic and treatment-related factors likely explain the worse outcomes observed in leukemia compared with other hematologic malignancies. The specific causes of in-hospital mortality could not be determined from the NRD, as cause-of-death detail is not available. It is therefore unclear whether the excess mortality observed in leukemia was directly attributable to stroke, stroke complications or malignancy-related factors such as infection or treatment toxicity. Notably, the rates of coded intracranial hemorrhage were not significantly higher in the leukemia group, suggesting that hemorrhagic events were unlikely to fully explain the mortality difference. The increased risk is likely multifactorial, reflecting both the acute neurological insult and the systemic vulnerability conferred by leukemia. We showed that the use of tPA or MT appeared to attenuate the association between leukemia and adverse outcomes. Furthermore, the use of acute reperfusion was not associated with increased risk of intracranial hemorrhage in patients with cancer. These findings suggest that when indicated, the use of tPA and MT is safe in patients with hematological malignancies.
Patients with certain solid organ malignancies are at a higher risk of ischemic stroke recurrence as compared to patients without cancer. Reference Lau, Wong and Teo16 A study including pediatric patients also showed that patients with cancer (including 40% hematological malignancies) had an increased risk of stroke recurrence, and this risk was higher in children with arteriopathies. Reference Sun, Linds and Sharma27 The potential mechanisms of stroke recurrence in the setting of hematological malignancies could be associated with cancer-associated coagulopathy or the use of cancer therapies such as tyrosine kinase inhibitors or other chemotherapeutic agents, radiation therapy and stem cell transplantation. Reference Adams17 Furthermore, patients with cancer are less likely to receive antithrombotic medications after AIS, Reference Sun, Linds and Sharma27 and inadequate use of appropriate secondary stroke prevention measures may also contribute to stroke recurrence in these patients. In this study, we found that the rates of stroke recurrence were comparable between patients with and without hematological malignancies during the early follow-up period. These results have important clinical implications as the optimal treatment of cancer-associated stroke remains unknown, Reference Zhang, Wang and Du1 and establishing the risk of recurrent cerebrovascular events may assist with the treatment decisions in select cases.
In our study, obesity was independently associated with a higher risk of recurrent AIS readmission. This may reflect clustering of vascular risk factors such as hypertension, diabetes and sleep apnea, which frequently co-occur with obesity and elevate stroke risk. Reference Kernan, Inzucchi, Sawan, Macko and Furie28 Obesity may also complicate cancer treatment and secondary stroke prevention through altered drug metabolism and dosing. Additionally, obese patients often face greater functional limitations after stroke, which may predispose them to rehospitalization. Reference Albitar, Harun and Abidin29 However, residual confounding and limitations of administrative coding cannot be excluded, and this association warrants further validation in studies with detailed clinical and lifestyle data.
Major strengths of our study include the use of a large, nationally representative patient cohort and evaluation of outcomes after comprehensive adjustments for the differences in baseline comorbidities and stroke severity, which increases the validity and generalizability of our findings. However, our study has several limitations, mostly inherent to the use of an administrative database. First, we lacked pertinent clinical information regarding the stage or treatment status of cancer, baseline laboratory data, location or etiology of stroke (and whether the stroke was precipitated by cancer-related complications) and the use of stroke prevention measures, all of which may influence treatment decisions and outcomes in patients with hematologic malignancy. Future datasets linking oncologic treatment exposures with cerebrovascular outcomes will be critical to address this gap. Second, as mortality data after hospital discharge are not available in the NRD, we could not perform competing risk analyses. Instead, we used Kaplan–Meier methods, which assume non-informative censoring and may overestimate stroke recurrence by not accounting for death as a competing risk, particularly in patients with hematologic malignancy who are at higher baseline risk of mortality. Third, due to lack of long-term follow-up, we could only assess the early risk of recurrent stroke. Fourth, we could not differentiate between symptomatic and asymptomatic IPH as the NRD does not contain radiographic or clinical adjudication data necessary for making that distinction. Also, we were unable to adjust for key clinical and imaging factors such as onset-to-treatment times or infarct core versus penumbra, as these data are not available in the NRD. Although we included the validated SASI score to approximate stroke severity, this may not fully capture the prognostic impact of treatment timing and radiographic profile. Fifth, we were unable to assess workflow metrics such as door-to-imaging or door-to-needle time. Patients with hematologic malignancies may undergo additional laboratory or clinical evaluations before treatment, which could prolong decision-making and potentially reduce eligibility for thrombolysis.
Despite these limitations, our study findings address an important knowledge gap regarding the outcomes of AIS in the setting of hematological malignancies. Our findings apply primarily to acute, in-hospital outcomes and do not address long-term functional status or mortality beyond the hospitalization and short-term readmission period. Also, our findings on the safety of reperfusion therapies apply at the population level and do not extend to unmeasured high-risk subgroups, such as patients with thrombocytopenia, severe coagulopathy or recent procedures, in whom thrombolysis remains contraindicated by current guidelines. This study emphasizes the urgent need for prospective studies to develop decision frameworks that integrate standard stroke reperfusion criteria with hematology-specific risks. Such frameworks, ideally informed by multidisciplinary collaboration, may help guide clinicians in determining when reperfusion therapy is appropriate for patients with hematologic malignancies.
Conclusions
In conclusion, patients with hematological malignancies are less likely to receive tPA but not MT. When indicated, the use of tPA and MT was not associated with increased harm in patients with hematologic malignancies, supporting their judicious use in eligible patients. Patients with acute leukemia and Hodgkin lymphoma have an increased risk of in-hospital mortality, but the use of acute reperfusion therapies appears to attenuate this excess risk. Early risk of stroke recurrence is not different in patients with and without hematological malignancies.
Supplementary Material
The supplementary material for this article can be found at https://doi.org/10.1017/cjn.2025.10498.
Acknowledgements
None.
Author contributions
AG was involved in study concept and design, statistical analysis, manuscript preparation and revision of the content. PE was involved in study concept and design and revision of the content. SC was involved in statistical analysis, manuscript preparation and revision of the content.
Funding statement
No funding was obtained for this study.
Competing interests
Authors have no competing interests or other disclosures.


Target article
Outcomes of Acute Ischemic Stroke in Patients with Hematological Malignancies
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Reviewer Comment on Garg et al. “Outcomes of Acute Ischemic Stroke in Patients with Hematological Malignancies”