Abstract
Cognitive impairment is a prevalent yet underexplored comorbidity and complication in hematopoietic stem cell transplantation (HCT) and chimeric antigen receptor (CAR) T-cell therapy. Affecting up to half of patients, cognitive impairment may include acute phases, manifesting as transplant-associated altered mentation and encephalopathy (TAME) or immune effector cell-associated neurotoxicity syndrome (ICANS), and may persist for years post-treatment as cancer-related cognitive impairment (CRCI). Such dysfunction undermines autonomy, healthcare management, work reintegration, and quality of life. This consensus review synthesizes current evidence on CRCI across the timeline of transplant and cellular therapy, organized into pre-, peri-, and post-therapy phases, with additional focus on specific populations, such as older adults and pediatric patients. It highlights gaps in understanding of cognitive impairment risks, trajectory, and impact, alongside the challenges of standardizing assessments in diverse practice settings. Key recommendations, endorsed by the American Society for Transplantation and Cellular Therapy (ASTCT) Aging, Biobehavioral Research, and Survivorship Special Interest Groups, advocate for cognitive assessment pre- and post-therapy using validated instruments, like the Montreal Cognitive Assessment (MoCA) or Blessed Orientation-Memory-Concentration Test (BOMC). We additionally recommend supplementing with patient-reported outcomes (PROs) measures for comprehensive evaluation. If cognitive impairment is identified, we recommend action items, including exclusion of alternative etiologies, reconsideration of therapy or caregiving plan, and referrals for additional evaluation and rehabilitation, among others. Practical guidance for implementation across clinical and research settings is provided, emphasizing the need for multidisciplinary strategies to address identified impairments. This work aims to establish a framework for systematic cognitive monitoring, improving patient outcomes and quality of life while guiding future research to address significant knowledge and implementation gaps.
Keywords: Cognitive function, hematopoietic cell transplantation, bone marrow transplant, stem cell transplant, CAR-T, cognition, patient reported outcomes
Introduction
For a growing number of patients with malignant and non-malignant hematologic disorders, transplantation and cellular therapies (TCT) offer the best opportunity for long-term disease control and potential cure. In hematopoietic cell transplantation (HCT), increase in donor options, development of less toxic conditioning regimens, and improvements in supportive care have broadened transplant eligibility criteria and improved long-term outcomes. Similarly, chimeric antigen receptor (CAR) T-cell therapies have led to significant improvements in progression-free (PFS) and overall survival (OS) in B-cell malignancies, and improved supportive care strategies have facilitated increased use of these therapies.
As uptake and outcomes of TCT continue to improve, it is critical to understand associated toxicities. Compared with infection, graft-vs-host disease, and cytokine release syndrome, there is less research dedicated to cognitive impairment. Cancer-related cognitive impairment (CRCI) refers to a decline in neurocognitive functioning that is independent of normal aging and may include deficits in memory, attention, concentration, and/or information processing speed, and has been associated with a current or prior diagnosis of cancer [1,2]. CRCI is remarkably common, affecting 25 – 50% of allogeneic HCT candidates [3–6], and has been identified as one of the top five concerns of patients undergoing such therapies [7]. During TCT, many patients are affected by either transplant-associated alerted mentation and encephalopathy (TAME) or immune effector cell-associated neurotoxicity syndrome (ICANS). Shortly after TCT, a decrease from baseline cognition is seen in nearly half of patients, regardless of a prior diagnosis of TAME or ICANS [8]. In a subset of patients, prolonged CRCI can persist, lasting up to half a decade or longer[9,10].
The immediate and sustained impact on cognitive function can lead to difficulty in patients resuming autonomy, managing their own healthcare, returning to work, and achieving an acceptable quality of life[11,12]. For providers caring for TCT patients, it is critical to understand CRCI throughout the treatment course. However, there are currently few standards and guidance regarding which patients should receive testing for cognitive impairment, what cognitive screening measure to administer, how often cognitive function should be assessed, and what clinical steps should be taken when impairments are identified.
This paper summarizes the available data regarding CRCI across the timeline of TCT for both adult and pediatric patients. It is organized first by timepoint (pre-TCT, peri-TCT, and post-TCT) (Figure 1), with subsequent sections highlighting populations requiring additional consideration (older adults, pediatrics) and emerging data. We conclude by offering tiered recommendations regarding cognitive screening assessment and offer practical suggestions regarding implementation. These recommendations are sorted into Tier 1 recommendations , which are well supported by data and relatively simple to operationalize, and Tier 2 recommendations, which are either supported by limited data and/or aspirational to operationalize. These recommendations are intended to be helpful across multiple practice settings and have been endorsed by the American Society for Transplantation and Cellular Therapy (ASTCT) Aging, Biobehavioral Research, and Survivorship Special Interest Groups (SIGs). The goal of this paper is to standardize best practices for cognitive assessment in TCT recipients in both standard of care and research settings.
Figure 1. Cognitive assessment and response across the time course of TCT.

TCT, transplantation and cellular therapy; American Society for Transplantation and Cellular Therapy, ASTCT; Montreal Cognitive Assessment, MoCA; Blessed Orientation-Memory-Concentration Test, BOMC; Patient Reported Outcome Measurement Information, PROMIS; central nervous system, CNS; transplant-associated altered mentation and encephalopathy, TAME; immune effector. Cell-associated neurotoxicity syndrome, ICANS
How Do We Assess Cognitive Impairment?
Brief Screening Measures
Several screening measures have been used for clinical cognitive assessment across numerous CRCI studies. It is important to note the distinction between psychometrically valid brief screening instruments versus more comprehensive neuropsychological testing, consisting of full batteries of tests. Brief screening refers to standardized tests that can be administered and scored quickly to efficiently provide a quantitative estimate of general cognitive function. Because of their brevity, brief screening instruments can be implemented in busy clinical settings. However, brevity can reduce sensitivity in detecting CRCI and nuanced cognitive impairments that a formal neuropsychological testing can detect [13].
Currently, no formal recommendations exist with respect to which specific cognitive screening instruments to use when evaluating adult patients undergoing TCT. All commonly used screening tools were developed for evaluating dementia and have limited data regarding sensitivity, specificity, and other test properties in CRCI specifically. The National Comprehensive Cancer Network (NCCN) [14] and the Young International Society for Geriatric Oncology (Young SIOG) [15] recommend the use of various instruments, including the MiniCog [16], Mini-Mental State Examination (MMSE) [17], Montreal Cognitive Assessment (MoCA) [18], and Blessed Orientation-Memory-Concentration Test (BOMC) [19] across various malignancies. The domains assessed, time requirements, and practical considerations for each screening measure are summarized in Table 1 [20]. Additional recommendations for pediatric patients are reviewed in the “Pediatrics” section.
Table 1.
Cognitive assessment tools and associations with TCT outcomes
| Assessment | Domains assessed | Completion Time [20]. | Practical considerations | Associations with alloHCT outcomes |
|---|---|---|---|---|
| MoCA [18]. www.mocatest.org | Memory, visuospatial, orientation, attention, language, executive | 10-15 minutes (15 – 30 questions depending on written, online, or telephone version) | Copyrighted but freely available for use after registration on the website Available in 6 languages Audio-only and telephone versions available for patients with visual impairment Good sensitivity for detecting mild cognitive impairment compared to other tools Training required Many different versions available to avoid biases from learning effects |
• Baseline impairment associated with OS [3,6,22]. or NRM [6]. • Baseline impairment not associated with length of stay [22]. • Impairment at time of initial assessment predicted lower likelihood of proceeding to alloHCT [3]. |
| BOMC [19]. https://img.thebody.com/legacyAssets/40/77/F3-6.pdf | Memory, orientation, attention | 2-3 minutes (6 questions) | Copyrighted but freely available Only available in English No visual elements No online application |
• Baseline impairment (score ≥7) associated with inferior 1-year OS and higher NRM in older adults [43]. • Baseline impairment (score ≥11) associated with inferior PFS [100]. |
| MiniCog [16]. www.mini-cog.com | Memory, visuospatial, executive | 3 minutes (4 questions) | Copyrighted but freely available for use Available in 16 languages Can be self-administered online |
• Baseline impairment (score <3) not associated with post-alloHCT PFS, OS, or NRM [41]. |
| MMSE [17]. | Memory, visuospatial, orientation, attention, language, praxis, executive | 10-15 minutes (23 questions) | Copyrighted Cannot be self-administered; requires provider to complete |
• Baseline impairment not associated with PFS or OS [42]. |
| PROMIS-CF8a [32]. | Patient reported: Physical function, cognitive function (memory, attention), mental health, social wellbeing, quality of life | 5-10 minutes (8 questions) | Copyrighted, but freely available for use Fixed form and computer-adapted versions available; digital administration allows for ease of EMR integration Available in 6 languages Can be self-administered online Correlates with MoCA, MMSE [34,35]. |
• Limited data on prognostic ability, especially with cognitive-specific domain |
| FACT-Cog3 [33]. | Patient reported: Perceived cognitive impairment, perceived cognitive abilities, quality of life | 10-15 minutes (37 questions) | Copyrighted, license required to use Available in 31 languages Cannot be self-administered online No data correlating results with objective screening measures |
• Limited data on prognostic ability |
| EORTC QLQ [37]. | Patient reported: Physical, social, emotional, and cognitive function; symptoms; quality of life; | 10-15 minutes (30 questions) | Copyrighted but freely available for use Extensively translated (> 100 languages) Cannot be self-administered online No data correlating results with objective screening measures |
• Limited data on prognostic ability, especially with cognitive-specific domain |
Transplantation and cellular therapy, TCT; allogeneic hematopoietic cell transplantation; alloHCT; overall survival, OS; non-relapse mortality, NRM; progression-free survival, PFS; electronic medical record, EMR; Montreal Cognitive Assessment, MoCA; Blessed Orientation-Memory-Concentration Test, BOMC; Mini-Mental Status Examination, MMSE; Patient Reported Outcome Measurement Information System Cognitive Short Form 8-item-a, PROMIS-CF8a; Functional Assessment of Cancer Therapy-Cognitive, FACT-Cog3; European Organization for Research and Treatment of Cancer Core Quality of Life, EORTC QLQ
The Mini-Cog is a brief screen for cognitive impairment based on two components: delayed three-word recall and clock drawing [16]. Possible cognitive impairment is identified by either a delayed word recall score of 0 out of 3 or a delayed recall score of 1 or 2 and an abnormal clock drawing [16]. The MiniCog has the advantage of being quick (2-3 minutes), easy to administer, does not require special training, and is freely available [16]. Recently, the American Society of Clinical Oncology (ASCO) Guidelines endorsed the Mini-Cog as part of a “practical” geriatric assessment in older adults [21].
The Mini-Mental Status Examination (MMSE) is an 11-question measure testing 5 domains of cognitive function: orientation, registration, attention and calculation, recall, and language. A score of 23 out of 30 indicates cognitive impairment. It has been validated in clinical and research settings and can measure changes in cognitive function with repeated use [17]. Of note, since its original development, this tool has become proprietary, which may limit its use.
The Montreal Cognitive Assessment (MoCA) is more involved, with 30 questions, but is more sensitive to subtle deficits in executive function compared with other screening instruments, such as the MMSE [22,23]. MoCA can detect early impairments in memory and executive function, with 83% sensitivity to detect mild cognitive impairment and 94% to detect dementia [23]. For patients with hematological malignancies, a score of ≤25/30 is optimal to identify performance below normative levels in at least one domain, and a score of ≤22/30 identifies impaired performance in two or more domains when using the in-person version of the assessment [13, 24]. A score of <23/30 has been incorporated into a risk prediction model for 1-year non-relapse mortality (NRM) in older adults undergoing allogeneic HCT [25].
The Blessed Orientation-Memory-Concentration Test (BOMC) is a six-item cognitive screen with scores ranging from 0-28; scores ≥5 are suggestive of cognitive impairment [19]. The BOMC has been incorporated into cancer-specific geriatric assessment [26]. and is predictive of chemotherapy toxicity [27].
Patient Reported Outcomes
Unlike neuropsychological tests, which are performance-based and capture neurocognitive function at a fixed point in time, patient reported outcome (PRO) measures are patient or proxy administered and assess the subjective experience of cognitive difficulty in daily life. CRCI research has demonstrated inconsistent correlation between objective cognitive assessments and self-reported cognitive function [28]. Rather, cognitive PROs tend to correlate with measures of fatigue, emotional distress (anxiety, depressive symptoms), and/or sleep disturbance [29]. PROs can be administered in standard practice to alert care teams of developing complications, thus improving patient care and outcomes. To optimize the benefits of PROs in clinical practice, measures should be brief to minimize patient burden, have high sensitivity and specificity, and be highly interpretable by care teams to allow for actionable intervention.
The optimal PRO measure(s) to use in TCT research and clinical practice remains an open question. In a recent comprehensive review of self-reported cognitive function measures among adult transplant patients, 21 different measures across 56 studies were described [30]. Table 2 summarizes key studies that have used PRO measures to investigate neurocognitive function in TCT recipients.
Table 2:
Summary of Studies Investigating Patient-Reported Outcomes Addressing Neurocognitive Function in TCT recipients
| Study title | Patient population (N, treatment type) | Median age | Neurocognitive PRO instrument | Assessment points | PRO study conclusions and comments |
|---|---|---|---|---|---|
| Long-term patient reported neurocognitive outcomes in adult survivors of hematopoietic cell transplant. (Wu et al.) [101]. | N = 1861, Adult auto- and alloHCT recipients surviving ≥2 years from HCT | 64.2 years (interquartile range, 56.8-70.5) |
Neuro-QOL: 8 question self-reported measure addressing perceived difficulties in cognitive abilities and application to daily tasks reflecting cognitive quality of life. NCQ: 33 questions, 4 domains corresponding to emotional regulation, task efficiency, memory and organization. |
Cross-sectional study (≥2 years post-HCT) | HCT respondents reported average Neuro-QOL scores similar to general population. On the NCQ, 43% reported impairment in 1 or more domain, higher than the general population. Hearing and sleep concerns were associated with impaired patient-reported neurocognitive scores. No correlative objective neuropsychological testing. |
| Longitudinal Patient Reported Outcomes with CAR-T Cell Therapy Versus Autologous and Allogeneic Stem Cell Transplant (Sidana et al.) [102]. | N = 104, CAR-T patients | 62 years (range 26-77) | Neuro-QOL | Pre-CAR-T, 2 weeks after CAR-T, monthly for 6 months. | No decline in self-reported cognitive function after CAR-T and overall trajectory was positive compared to baseline. |
| Change in Patients’ Perceived Cognition Following Chimeric Antigen Receptor T-Cell Therapy for Lymphoma (Barata et al.) [83]. | N = 118, CAR-T patients | 61 years (standard deviation 12) | ECog: 40 item questionnaire assessing 6 domains (memory, language, visuospatial abilities, planning, organization, and divided attention) resulting in a global perceived cognition score. Satisfaction with cognition was also evaluated. | Baseline, day 90, day 360. | Mean levels of perceived cognition did not change from baseline to day 90 but worsened from day 90 to day 360 in global cognition and in the domains of memory, language, organization, and divided attention (p values<0.05). Although statistically significant, changes were small. Greater baseline fatigue, apromis nxiety, and depression were associated with worse global cognition at day 90. Patients with more severe ICANS post-CART reported worse global cognition at day 360 (p<0.05), although there were no differences in perceived cognition by severity of CRS. |
| Self-endorsed cognitive problems versus objectively assessed cognitive impairment in blood or bone marrow transplantation recipients: a longitudinal study. (Murdaugh et al.) [103]. | N = 378, auto- and alloHCT patients; N = 90, healthy controls | 52.2 years (range (19 – 73) | NIS: 95 item questionnaire rated on 5-point scale with 7 subscales (critical items, cognitive efficiency, attention, memory, frustration, tolerance, learning verbal and academic skills). | Baseline, 6 months, 1, 2, 3 years post-HCT | HCT recipients reported more cognitive problems at all time points and rate of change in NIS scores was significantly greater in HCT patients. There was a modest, but statistically significant correlation between self-endorsed cognitive problems and objective cognitive impairment. |
| Patient-Reported Neuropsychiatric Outcomes of Long-Term Survivors after Chimeric Antigen Receptor T Cell Therapy (Ruark et al.) | N = 40; CAR-T recipients surviving ≥ 1 year. | 54 years (range 22 – 74) | 4 cognitive functioning questions- author developed questions assessing difficulty with concentration, finding words, memory, or solving problems since CART-. | 19 (47.5%) reported at least one cognitive difficulty and/or depression/anxiety. Depression prior to CAR-T was significantly association with self-reported CAR-T difficulty. |
Transplantation and cellular therapy, TCT; hematopoietic cell transplantation, HCT; chimeric antigen receptor T-cell therapy, CAR-T; patient reported outcomes, PRO; quality of life, QOL; immune effector cell neurotoxicity syndrome, ICANS; cytokine release syndrome, CRS; Neuro-Quality of Life Cognitive Function Short Form, Neuro-QOL; Childhood Cancer Survivor Study Neurocognitive Questionnaire, NCQ; Everyday Cognition Questionnaire, ECog; Neuropsychological impairment scale, NIS;
The following PRO measures are commonly used and validated:
Patient Reported Outcome Measurement Information System (PROMIS) is a set of measures that was developed by the National Institutes of Health for use in diverse clinical and research settings. PROMIS measures have demonstrated strong validity and reliability in various cancer populations, including HCT, have a high level of patient responsiveness, and are relatively easy to implement and score [31,32]. The PROMIS suite of measures provides T-score conversion tables, allowing for standardized interpretation relative to the general population, including direct numerical comparison with other PRO measures that may co-occur and influence cognition (e.g., fatigue, depression, sleep disturbance). The PROMIS Cognitive Function Short Form-8-item-a (CF8a) was noted to have high utility by the Cancer Neuroscience Initiative Working Group following critical appraisal of the 8 most common PRO instruments used to measure CRCI [33]. PROMIS-CF8a and PROMIS-Applied Cognition also correlate with MoCA and MMSE, respectively, in geriatric populations [34,35].
The Functional Assessment of Cancer Therapy-Cognitive Function, version 3 (FACT-Cog3), is widely used in both clinical and research settings [36]. It consists of 37 items and assesses cognitive function across 4 subscales: (1) perceived cognitive impairments (PCI); (2) perceived cognitive abilities; (3) comments from others; and (4) quality of life. The 4 scales are commonly scored separately and are, therefore, useful granular measures of cognitive experience. However, given the substantial overlap in items between the FACT-Cog PCI (which is comprised of 18 or 20 items) and the PROMIS-CF8a, as a measure of patient-reported cognitive impairment alone, the CF8a may offer more convenience due to its brevity yet high reliability.
The European Organization for Research and Treatment of Cancer Core Quality of Life questionnaire (EORTC QLQ-C30) is the most widely used PRO measure of cognitive function, both in transplant as well as in general cancer research and practice [30,37]. It is a 30-item quality of life questionnaire, although only 2 questions address cognition, and thus accuracy in CRCI detection may be compromised. In HCT, the EORTC QLQ-C30 is typically used alongside the Functional Assessment of Cancer Therapy subscale for Bone Marrow Transplantation (FACT-BMT) [38].
Cognitive Impairment Prior to TCT
Baseline Cognitive Impairment in TCT Patients
The prevalence of CRCI in TCT candidates is unknown. In the literature, rates range from 12-89%, although most studies describe CRCI in roughly half of pre-TCT patients [4–6,39].
This variability is frequently attributed to methodological differences, such as investigators evaluating cognition at different timepoints relative to prior chemotherapy. Differences in both neuropsychological test batteries and investigators’ operationalized definitions CRCI also contribute to variable prevalence estimates.
Impact of Pre-TCT Cognitive Impairment on Post-TCT Survival Outcomes
Evidence is mixed regarding the impact of baseline cognitive impairment on survival outcomes in TCT (Table 1). Available data is limited not only by the heterogeneity in screening instruments but also by the outcomes evaluated. In the transplantation setting, the MoCA has been applied pre-transplant in several single-center studies, which have largely found no association between baseline cognition and post-HCT survival [3,6,22]. One study showed that patients with cognitive impairment at the time of initial assessment were less likely to proceed to HCT [3]. Recently, BMT-CTN 1704, a large national study that prospectively applied a geriatric assessment (GA) in older adult alloHCT candidates, showed lower cognitive scores by MoCA independently added to prediction of 1-year NRM as a component of the Composite Health Assessment Risk Model (CHARM) score; CHARM further predicted for post-alloHCT disability, inferior patient-reported physical and mental function, and decline in post-transplant cognition by MoCA at day 100. [25,40]. The MiniCog (score <3) and MMSE (score < 27) have failed to predict survival outcomes after alloHCT [41,42]. Finally, a multi-institutional retrospective study of geriatric assessment (GA) in older adults found that of all components of a brief GA metrics collected pre-alloHCT, cognitive impairment as measured by BOMC (score ≥7) was the only risk factor for inferior OS and increased NRM [43].
In CAR-T, a single-institution prospective study demonstrated an association between even mild cognitive impairment pre-CAR-T (MoCA < 26/30) and inferior post-CAR-T overall survival [44].; however, larger and multi-center studies are lacking. Importantly, to date, in both HCT and CAR-T, most studies have focused on survival or NRM as outcome metrics. The impact of baseline cognitive functioning on other post-treatment outcomes, including healthcare utilization, risk of long-term cognitive impairment, and impact on other quality of life parameters is limited but should be included in future prospective studies.
Tiered Recommendations: Pre-TCT
Tier 1 Recommendations
- Type of assessment:
- Adults: There is no gold standard assessment. We endorse the following as data-supported options:
- MoCA has been established in prospective trials and risk assessment models [25]. and is associated with HCT outcomes.
- Pediatrics: Multiple instruments have been endorsed by the Children’s Oncology Group (COG), as reviewed in Table 4 of a prior publication [46].
- In all assessments, consider the patient’s native language and English proficiency, literacy, possible hearing or visual impairment, and level of fatigue at the time of testing, and revise testing type and timing if necessary.
- Population to assess:
- Adults: Patients > 50 years of age or any adult with concerns for frailty or functional impairment with known CNS malignancy or prior CNS-directed therapy or with clinical or caregiver concern.
- Pediatrics: All children (and/or caregiver proxy) that meet standardized age requirements, which are dependent on the test used [46]
Timeframe of assessment: Assess at initial transplant referral visit or time of TCT evaluation and comorbidity assessment
Action if impairment identified: Exclusion of alternative etiologies for cognitive impairment (e.g., metabolic encephalopathy, infection, medication side effect; cerebrovascular; psychiatric); review of medications and de-prescribing as indicated; critical assessment of TCT therapy plan (e.g., treatment intensity, caregiver requirements)
Tier 2 Recommendations
- Type of assessment:
- Incorporation of PRO assessment, such as PROMIS-CF8a or as part of PROMIS 29+2
- PROMIS parent proxy measures for pediatric patients
Population to assess: All patients
- Timeframe of assessment:
- Second assessment prior to conditioning therapy, especially if patient has received substantial additional therapy since initial visit, has a change in clinical status, or has significant frailty and/or advanced age. Data describing cognitive changes (via MoCA) between initial and pre-HCT visit have been described [3,25]
- If multiple timeframes are assessed, the same assessment should be used, with awareness of possible learning effects and need for version changing
Action if impairment identified: Referrals for additional evaluation (e.g., geriatrics, neuropsychology); consider cognitive rehabilitation therapy (e.g., cognitive behavioral therapy memory or attention worksheets, smartphone-based memory applications) [6]; implement strategies for improving medication adherence; increased awareness of possible delirium in the acute care setting
Cognitive Impairment Peri-TCT
During conditioning chemotherapy, lymphodepleting chemotherapy, and/or radiation, as well as shortly after transplantation or cellular therapy, patients are particularly vulnerable to cognitive decline. This may be due to the therapy administered (e.g., ICANS after CAR T-cell therapy), a result of complications of therapy (e.g., transplant-associated thrombotic microangiopathy [TA-TMA], mucosal injury, infections), hospital-acquired delirium, medication side effects (e.g., calcineurin inhibitors, corticosteroids), GVHD, or a combination of the above.
Transplant-Associated Altered Mentation and Encephalopathy (TAME)
Up to 73% of adults and children experience delirium during the initial HCT course, and delirium has been associated with increased NRM, 1-year mortality, worse post-HCT neurocognitive functioning, and quality of life [47,48] This spectrum of altered consciousness following HCT prompted the ASTCT Committee on Practice Guidelines to propose a new diagnosis, TAME, to capture the range of acute neurocognitive changes that can occur early (≤100 days) and late (>100 days) post-HCT [45]. A diagnosis of TAME encompasses patients who fulfill the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for delirium, as well as those experiencing acute neurocognitive changes that fall short of meeting all DSM-5 delirium criteria. Patients who experience TAME often face longer hospital stays, prolonged recovery time, and a higher risk of poor post-HCT outcomes [45].
The Confusion Assessment Method (CAM) is recommended for screening and diagnosis [45]. CAM is a clinical tool widely used to diagnose delirium in various clinical settings by focusing on four key features: acute onset and fluctuating course, inattention, disorganized thinking, and altered level of consciousness as evaluated by a clinician. To diagnose TAME using CAM, both acute onset with fluctuating course and inattention must be present, along with either disorganized thinking or altered level of consciousness [49].
Pre-HCT assessment of cognitive impairment may help identify patients at higher risk for TAME, guiding discussions on the risks and benefits of HCT, and allowing for adjustments to reduce that risk [45]. However, as TAME is a newly described entity, and screening measures are not yet widely adopted in standard clinical practice, further research is needed to understand the pre-HCT risk factors, treatment factors, and long-term implications of a TAME diagnosis.
Immune effect cell-associated neurotoxicity syndrome (ICANS)
The incidence of ICANS following CAR T-cell therapy varies widely due to differences in grading scales, CAR design and development, and clinical trial design, but is generally reported as 15-62% [50–52]. Symptoms of ICANS may include cognitive impairment, aphasia, altered consciousness, motor weakness, seizures, and cerebral edema. ICANS severity is graded using ASTCT Consensus Grading, which utilizes an immune effector cell-associated encephalopathy (ICE) score (0-10) assessing orientation, handwriting changes, level of consciousness, presence of seizures, and motor deficits, and is completed multiple times per day [53].
Predictive factors for ICANS are variable and include factors associated with disease (e.g., disease bulk, CNS involvement) and treatment (e.g., co-stimulatory domain) as well as patient-specific factors. The Endothelial Activation and Stress Index (EASIX) score is predictive for ICANS and incorporates disease and patient comorbidity factors, including MRI brain, lumbar puncture, and neurologic assessments [54]. A lower baseline MoCA is also associated with increased risk and severity of ICANS in CD19 and BCMA-targeting [55–57]. Interestingly, changes in MoCA scores may occur early in the course of ICANS, and there may be utility in adopting MoCA scoring in the post-infusion periods to monitor for ICANS or determine the need for preemptive therapy [58].
Tiered Recommendations: Peri-TCT
Tier 1 Recommendations
Type of Assessment: Conduct CAM and ICE assessments as appropriate: CAM assessments twice daily on days 6 – 20 and daily through hospitalization; otherwise, ICE assessments at least twice daily through hospitalization. In pediatric patients, the Cornell Assessment of Pediatric Delirium (CAP-D) is an alternative to CAM [59].
Population to Assess: All patients. Maintain a high level of awareness for TAME and ICANS, discuss risks with patients and caregivers prior to TCT.
Action if Impairment Identified: Exclude alternative etiologies; start ICANS treatment per protocol. Increase support for the patient, both during hospitalization and upon discharge. This may involve heightened non-pharmacologic delirium prevention strategies and arranging for home health services, additional caregiving support, or other resources to ensure adequate care and monitoring.
Post-Treatment Cognitive Impairment, Late Effects, and Survivorship
Cognitive impairment is a significant issue for survivors of TCT. In HCT, neurocognitive function declines in 40% of adults during the first few months post-HCT and is characterized by deficits in memory, complex attention, verbal fluency, and executive functioning [9,60–62]. Identifying specific predictors for post-HCT neurocognitive impairment is difficult, but inpatient delirium and prolonged hospitalization have been reported [63] Studies utilizing longitudinal neuropsychological testing have demonstrated that cognitive function frequently returns to pre-HCT levels over time [9]. However, up to half of HCT recipients demonstrate mild global cognitive impairment up to 5 years post-HCT, with 12-28% of these individuals demonstrating moderate to severe impairment [9,39,61,64,65]. Declines in memory and executive function were present in patients of all ages, with additional declines in verbal fluency in older adults [66]. For long-term survivors with CRCI, quality of life and daily functioning are often adversely impacted. Survivors report difficulty with return to work, everyday tasks, social interactions and can experience frustration, feelings of inadequacy, and social isolation [67–69].
Less is known about long-term CRCI in CAR-T recipients. Patients may experience slight worsening in cognitive function from baseline to day 90 post-CAR-T, with slight improvement by 1 year [70]. Conversely, another prospective observational study showed no evidence for neurological or cognitive toxicity 6-12 months after CAR-T, even in patients who developed acute neurotoxicity [71]. At 3 years post-CAR-T, late cognitive difficulties, including difficulty concentrating and speaking, have been self-reported in up to 38% of patients [72].
Tiered Recommendations: Post-TCT
We acknowledge there is limited data and no established gold standard for post-TCT cognitive assessment as well as interventions to address cognitive decline in the post-HCT period; thus, our “Tier 1” recommendations are largely based on consensus recommendation rather than published data. This indicates a significant need for further research, especially regarding early intervention strategies.
Tier 1 Recommendations
Assessment: Use the same assessment tool as in the pre-TCT assessment; maintain awareness for learning effects and the need for version changing.
Timeframe of Assessment: Post-TCT assessment at the end of transplant/beginning of survivorship visit, corresponding to the day 100 timepoint centers are required to submit clinical outcomes for reporting.
Tier 2 Recommendations
Timeframe of Assessment: Day 90 and 1-year post-TCT, again paralleling timepoints centers are required to submit clinical outcome data for registry reporting. Consider additional assessment at significant cognitive milestones (e.g., return to work or school)
Action if Impairment Identified: Referrals for additional evaluation (e.g. geriatrics, neuropsychology); referral to rehabilitation, such as efforts that focus on balance and orientation to support both cognitive and physical recovery [73].; referral for formal neuropsychologic evaluation, especially if applying for disability or accommodations; incorporate cognitive-stimulating activities such as jigsaw puzzles and games, as suggested by research studies [74]., to help maintain or improve cognitive function in patients; recommendations for exercise or mindfulness programs
Special Populations and Considerations
Older Adults
CRCI in older adults has long been recognized as a source of morbidity and mortality. Studies dedicated to assessing CRCI in patients with hematologic malignancies have demonstrated an association with survival, function, and care utilization [75,76]., while studies evaluating treatment have shown a negative impact on cognition longitudinally, regardless of therapy intensity [77,78]. By contrast, other studies have shown little to no deleterious impact from therapy, likely related to heterogeneity in underlying diagnosis and assessment instrument used [79].
The impact of cognition on TCT is particularly relevant to older adults, in whom the prevalence of baseline cognitive impairment is higher due to normal aging processes. In older adults, data are mainly derived from single-institution studies of pre-transplant GA, which demonstrate baseline cognitive impairment rates of 12-24% without a consistent impact on NRM or OS [80]. However, in a multi-institutional retrospective study of HCT recipients aged 50+, pre-HCT cognitive impairment was shown to be a strong predictor of NRM and OS [43].; notably, rates of cognitive impairment were similar in patients ages 50-59, 60-69, and 70+, though this may reflect patient selection for transplant. In another study, baseline cognitive abilities were also similar between older and younger transplant recipients, and both were inferior to age-matched controls without hematologic malignancy, suggesting that cancer treatment received pre-transplant may impact baseline cognition [81]. Data from the recently completed prospective CHARM study (BMT CTN 1704) may provide additional data regarding cognitive trajectory in older adults after alloHCT [25].
In CAR-T cell therapy, data evaluating CRCI in older adults has shown that baseline cognitive status, as measured by a comprehensive GA or MoCA, is associated with length of hospitalization, need for intensive care, and inferior survival [49,82]. Studies specifically examining cognitive outcomes, however, have shown that while there is a transient drop in cognition post-CAR-T, there is generally either a return to pre-CAR-T baseline or even slight improvement [70,71]. Interestingly, studies that have shown neurocognitive decline have used PRO assessments [83]., which point towards possible limitations of relying on objective cognitive assessment tools alone in this population. Most studies in CAR-T cell therapy, however, do not focus on older adults. As use of these therapies in older adults increases, there is ongoing need for both geriatric-specific studies and the development of geriatric-specific tools and metrics [84].
Pediatrics
In pediatric TCT recipients, approximately 20-40% of patients have some degree of CRCI post-TCT, although these data are limited by retrospective studies with relatively small sample sizes, population heterogeneity, and non-standardized assessments [46,85]. Assessing CRCI in pediatric TCT recipients requires distinctive considerations. Age-based variations in development limit the use of a single standardized battery, and age at treatment may also impact risk, type, and extent of cognitive impairment. Further, many patients, especially those with acute lymphoblastic leukemia, are often pretreated with intrathecal chemotherapy and/or central nervous system (CNS)-directed radiation, which could significantly impact their pre-TCT neurocognitive function. Similarly, children often undergo HCT for non-malignant diseases such as sickle cell disease and inborn errors of metabolism, which may predispose them to have baseline neurocognitive deficits due to the underlying disease process. Therefore, it is important to collect prospective, age-appropriate, and disease-specific data starting from baseline pre-TCT and at periodic intervals post-TCT in the pediatric population.
Given the knowledge gaps regarding neurocognitive impairment in pediatric TCT survivors, in 2022, the Children’s Oncology Group (COG) Neurocognition in Cellular Therapies Task Force published guidelines for monitoring cognition post-TCT, including recommendations for specific assessments [46]. Based on a review of published evidence and expert opinions, the guidelines recommend monitoring neurocognitive function pre-HCT and at 1, 2, and 4-5 years post-HCT, with additional assessments during major academic milestones, such as transitioning from elementary to middle school.
The taskforce also acknowledged that limited personnel and lack of insurance coverage may limit access to formal neurocognitive assessment for many patients and recommended a risk-based approach where cognitive assessment is prioritized for patients exposed to CNS-directed or total body radiation at ≤6 years of age, a history of CNS pathology, or prior ICANS. In addition to domains routinely assessed in adults, pediatric cognitive assessment should also emphasize educational performance, including average grades, a history of failed or repeated grades, and school-based support.
Along with formal neurocognitive assessments, validated PRO measures include the PROMIS cognitive function scale and Behavior Rating Inventory of Executive Function (BRIEF) [86]. PROMIS self-report scale is validated for age >8 and parent proxy scale for age >5, although concurrent administration of both self- and parent-proxy report survey is recommended for optimal assessment [87]. The COG taskforce also recommends the use of Cogstate (www.cogstate.com) [88]., a comprehensive, validated computerized battery currently incorporated into several COG-sponsored trials.
Biomarkers, Imaging and Novel Metrics to Assess Cognition
To date, most studies of CRCI in TCT rely on either provider or patient-administered assessments. However, there are limited data on the use of additional objective measures, including biomarkers and imaging, in research settings. Following alloHCT, neurocognitive impairments correlate with an activated immune system in the CNS [67,89]. When compared to pre-HCT measurements, patients with elevated IL-6 and TNF-RII but decreased CRP at day 90 post-HCT have inferior cognitive performance [66]. Genetic predisposition, such as single nucleotide polymorphisms in the blood-brain barrier, telomere homeostasis, and DNA repair genes, have also been correlated with neurocognitive impairment post-HCT [90]. Multiple studies have also associated cytokines with ICANS development and decreased cognition, including increased peripheral levels of IL-6, IFN-γ, IL-10, and IL-15 [91]. Currently, there are no validated biomarkers for cognitive function.
Neuroimaging changes during HCT are common but imperfectly correlate with neurocognitive function [92]. In patients with ICANS, MRI changes are evident in approximately half of patients [93]. A specialized MRI technique, resting state functional connectivity (RSFC), may correlate with attention and recall [94]. While MRI is generally less helpful in assessing cognition, it is critical in ruling out alternative etiologies for cognitive change, including structural abnormalities, cerebrovascular complications, and posterior reversible encephalopathy syndrome (PRES). Another imaging technique, transcranial doppler, may provide a novel and sensitive method of ICANS assessment and has the benefit of being done at the bedside [95]. Visual EEG-based grading may also improve ICANS assessments [96].
Recommendations
We acknowledge that the available data and taskforce recommendations, summarized above and in Table 3, are often retrospective, incomplete, and/or heterogenous. Further, the logistics of implementing cognitive testing are unique to different TCT centers and patient populations. With these caveats, we offer some practical considerations for incorporating these recommendations into standard clinical practice.
Table 3:
Summary of Tiered Task Force Recommendations across the TCT Course
| Type of Assessment | Population to Assess | Timeframe of Assessment | Action if Impairment Identified |
|---|---|---|---|
| Pre-TCT | |||
| Tier 1 Recommendations | |||
| • MoCA • BOMC • Pediatrics: Multiple instruments endorsed by COG |
• Adults > 50 years of age • Significant frailty • Known CNS malignancy; prior CNS-directed therapy • All children |
• Initial TCT referral or time of TCT evaluation and comorbidity assessment | • Exclude alternative etiologies • Medication review; de-prescribing as able • Critical assessment of TCT therapy plan |
| Tier 2 Recommendations | |||
| • PROMIS-CF8a • Pediatrics: PROMIS parent proxy measures |
• All patients | • Additional pre-TCT timepoints, especially if additional therapy, change in clinical status, or high-risk population | • Referral for additional evaluations (geriatrics, neuropsychology) • Cognitive rehabilitation therapy • Medication adherence strategies |
| Peri-TCT | |||
| Tier 1 Recommendations | |||
| • CAM (Transplant) • ICE (Cellular Therapy) |
• All patients | • CAM: twice daily days 6 – 20 post-transplant; daily through hospitalization • ICE: at least twice daily |
• Exclude alternative etiologies • Start ICANs treatment per protocol |
| Tier 2 Recommendations | |||
| No additional recommendations | No additional recommendations | No additional recommendations | • Increase support for patient: arrange home health services additional caregiving support, etc. |
| Post-TCT | |||
| Tier 1 Recommendations | |||
| • Same as used in pre-TCT assessment • Maintain awareness for learning effects |
• Adults > 50 years of age • Significant frailty • Known CNS malignancy; prior CNS-directed therapy • Significant cognitive concern during peri-TCT • All children |
• Day 100 post-TCT (End of peri-TCT period/beginning of survivorship care) | No formal recommendations |
| Tier 2 Recommendations | |||
| • • No additional recommendations | • All patients | • Day 180 post-TCT • 1 year post-TCT • Any significant cognitive milestone (e.g., return to work or school) |
• Referrals for additional evaluations; formal neuropsychologic evaluation • Referrals for physical, occupational, cognitive rehabilitation • Exercise or mindfulness programs • Incorporate jigsaw puzzles, games |
Transplant and Cellular Therapy, TCT; Montreal Cognitive Assessment, MoCA; Blessed Orientation-Memory-Concentration Test, BOMC; Mini-Mental Status Examination, MMSE; Children’s Oncology Group, COG; Patient Reported Outcome Measurement Information System Cognitive Short Form 8-item-a, PROMIS-CF8a; Confusion Assessment Method, CAM; Immune Effector Cell Encephalopathy, ICE; Immune effector cell-associated neurotoxicity syndrome, ICANS
There are multiple options for conducting cognitive assessments as part of clinical workflow (Figure 2). While these can be done by a specialized geriatric clinic or a TCT clinic provider or nurse, it may also fall to the medical assistant as part of standard patient rooming and vital sign assessment [3]. MoCA does require specific training to administer, but this training is available through their website, allowing anyone to be certified to perform assessments. Of note, when using MoCA longitudinally, it is recommended to rotate through different versions to avoid training effects. Results from in-person assessments may be entered into the medical record (e.g., Epic flowsheet) or electronic database (e.g., REDCap [Vanderbilt University, Nashville]). Both MoCA [97]. and BOMC [98]. can also be administered as telephone versions, which can ease the logistical burden of longitudinal assessment or be a good option for visually impaired patients. Telephone or telehealth assessments may also not be equally appropriate for all populations. In a study of virtual cognitive assessments in older adults, older and frailer patients were less likely to complete assessments [99]. Finally, when conducting cognitive assessments, it is important to note the patient’s mental condition and avoid assessment if impaired (e.g., if the patient recently took a narcotic or is struggling with delirium).
Figure 2. Multidisciplinary Approach to Cognitive Impairment in TCT.

TCT, transplantation and cellular therapy; TAME, transplant-associated altered mentation and encephalopathy; ICANS, immune effector cell-associated neurotoxicity syndrome
For PROs, assessments can be sent to patients before appointments through the electronic medical record (e.g., Epic/MyChart) or by email from research databases (e.g., REDCap). This approach has the advantages of (1) allowing patients to complete assessments at their convenience, (2) allowing results to be reviewed prior to the appointment, and (3) results are directly entered into databases, saving time and avoiding errors with manual entry. If results are not available, staff may follow up with patients to complete assessments using electronic devices (e.g., tablets) or paper forms.
Conclusion
This position paper summarizes the current evidence in cognitive assessments along the TCT timeline and provides recommendations for implementation both clinically and in research settings. Measuring changes in cognition across the TCT timeline has been limited due to heterogeneity in assessments utilized, timepoints for baseline and post-treatment longitudinal evaluations, thresholds for impairment, and practical barriers to implementation in busy clinical settings. Screening tools and the use of PRO measures can help overcome some of the barriers, but these are limited due to the heterogeneity in tools utilized and in limited data on the impact of PRO measures of cognitive function on outcomes. In CAR-T, there is a dearth of data on the impact of cognitive impairment, as identified by screening tools, on treatment-related toxicities or outcomes. The recommendations in this paper were created to address these barriers.
In TCT recipients, we recommend clinical evaluation of cognition at a minimum of pre-TCT and ideally at multiple timepoints, using the same instrument across timepoints, institutions, and research studies. Standardization across timepoints would allow for improved monitoring of cognitive changes over time and with treatment. Early recognition of cognitive decline can allow for earlier investigations and interventions to, at minimum, stabilize the trajectory of cognitive decline and ideally reverse it. Standardization of assessments across institutions would enhance the ability to perform collaborative multi-institutional retrospective or observational studies. PRO measures should be included as part of cognitive evaluation in TCT recipients and can overcome the personnel and time barriers of implementation, although additional studies associating PRO cognitive assessments with objective assessments and clinical outcomes are needed. Current literature investigating pre-TCT cognition focuses on NRM and OS. Future studies are needed to investigate the impact of pre-TCT cognition, as measured by both objective assessment and PRO measures, on peri-TCT cognitive complications (TAME, ICANS), as well as quality of life, return-to-work, and other long-term sequelae. Finally, to better understand cognitive trajectories along the TCT timeline and impact on outcomes, using cognitive tools validated and with normative data in non-English speaking populations is imperative. Beyond language translations, standardized cognitive screening tools need to account for patient age, education level, and cultural context.
Standardizing cognitive assessment clinically and in research will allow our community to bridge the gap in understanding cognitive dynamics across TCT, better identify patients impacted by CRCI, and develop interventions. We have provided practical recommendations to address these gaps and barriers to implementation.
Highlights.
Cognitive impairment is common pre-, peri-, and post-therapy for HCT and CAR-T (TCT)
This paper offers consensus recommendations to standardize cognitive assessment.
MoCA or BOMC are recommended pre-TCT and at transition to survivorship
PRO assessments, like PROMIS-CF8a, should be incorporated as feasible
Recommendations address assessment gaps in pediatric and geriatric populations
Acknowledgments:
VEK is supported (in part) by the National Cancer Institute of the National Institutes of Health under Award Number K12 TR004930.
References
- 1.Kelly DL, Buchbinder D, Duarte RF, et al. Neurocognitive Dysfunction in Hematopoietic Cell Transplant Recipients: Expert Review from the Late Effects and Quality of Life Working Committee of the Center for International Blood and Marrow Transplant Research and Complications and Quality of Life Working Party of the European Society for Blood and Marrow Transplantation. Biol Blood Marrow Transplant 2018;24(2):228–241. DOI: 10.1016/j.bbmt.2017.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kelly DL, Syrjala K, Taylor M, et al. Biobehavioral Research and Hematopoietic Stem Cell Transplantation: Expert Review from the Biobehavioral Research Special Interest Group of the American Society for Transplantation and Cellular Therapy. Transplant Cell Ther 2021;27(9):747–757. DOI: 10.1016/j.jtct.2021.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Lew MV, Ren Y, Lowder YP, et al. Geriatric Assessment Reveals Actionable Impairments in Hematopoietic Stem Cell Transplantation Candidates Age 18 to 80 Years. Transplant Cell Ther 2022;28(8):498 e1–498 e9. DOI: 10.1016/j.jtct.2022.05.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Nakamura ZM, Deal AM, Rosenstein DL, et al. Cognitive function in patients prior to undergoing allogeneic hematopoietic stem cell transplantation. Support Care Cancer 2021;29(4):2007–2014. DOI: 10.1007/s00520-020-05697-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Phillips KM, McGinty HL, Cessna J, et al. A systematic review and meta-analysis of changes in cognitive functioning in adults undergoing hematopoietic cell transplantation. Bone Marrow Transplant 2013;48(10):1350–7. DOI: 10.1038/bmt.2013.61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Root JC, Campbell C, Rocha-Cadman X, et al. Pretransplantation Cognitive Dysfunction in Advanced-Age Hematologic Cancers: Predictors and Associated Outcomes. Biol Blood Marrow Transplant 2020;26(8):1497–1504. DOI: 10.1016/j.bbmt.2020.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Schoemans H, Burns LJ, Liptrott SJ, et al. Patient engagement in hematopoietic stem cell transplantation and cell therapy: a survey by the EBMT patient engagement task force & transplantation complications working party. Bone Marrow Transplant 2024;59(9):1286–1294. DOI: 10.1038/s41409-024-02290-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Jones D, Vichaya EG, Wang XS, Sailors MH, Cleeland CS, Wefel JS. Acute cognitive impairment in patients with multiple myeloma undergoing autologous hematopoietic stem cell transplant. Cancer 2013;119(23):4188–95. DOI: 10.1002/cncr.28323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Syrjala KL, Artherholt SB, Kurland BF, et al. Prospective neurocognitive function over 5 years after allogeneic hematopoietic cell transplantation for cancer survivors compared with matched controls at 5 years. J Clin Oncol 2011;29(17):2397–404. DOI: 10.1200/JCO.2010.33.9119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mayo SJ, Lustberg M, H MD, et al. Cancer-related cognitive impairment in patients with non-central nervous system malignancies: an overview for oncology providers from the MASCC Neurological Complications Study Group. Support Care Cancer 2021;29(6):2821–2840. DOI: 10.1007/s00520-020-05860-9. [DOI] [PubMed] [Google Scholar]
- 11.Buchbinder D, Kelly DL, Duarte RF, et al. Neurocognitive dysfunction in hematopoietic cell transplant recipients: expert review from the late effects and Quality of Life Working Committee of the CIBMTR and complications and Quality of Life Working Party of the EBMT. Bone Marrow Transplant 2018;53(5):535–555. DOI: 10.1038/s41409-017-0055-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kirchhoff AC, Leisenring W, Syrjala KL. Prospective predictors of return to work in the 5 years after hematopoietic cell transplantation. J Cancer Surviv 2010;4(1):33–44. DOI: 10.1007/s11764-009-0105-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wefel JS, Vardy J, Ahles T, Schagen SB. International Cognition and Cancer Task Force recommendations to harmonise studies of cognitive function in patients with cancer. Lancet Oncol 2011;12(7):703–8. DOI: 10.1016/S1470-2045(10)70294-1. [DOI] [PubMed] [Google Scholar]
- 14.National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines: Older Adult Oncology Version 1.2024. (https://www.nccn.org/professionals/physician_gls/pdf/older_adult.pdf). [Google Scholar]
- 15.Loh KP, Soto-Perez-de-Celis E, Hsu T, et al. What Every Oncologist Should Know About Geriatric Assessment for Older Patients With Cancer: Young International Society of Geriatric Oncology Position Paper. J Oncol Pract 2018;14(2):85–94. DOI: 10.1200/JOP.2017.026435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A. The mini-cog: a cognitive 'vital signs' measure for dementia screening in multi-lingual elderly. Int J Geriatr Psychiatry 2000;15(11):1021–7. DOI: 10.1002/1099-1166(200011)15:11<1021::aid-gps234>3.0.co;2-6. [DOI] [PubMed] [Google Scholar]
- 17.Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12(3):189–98. DOI: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 18.Nasreddine ZS, Phillips NA, Bedirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53(4):695–9. DOI: 10.1111/j.1532-5415.2005.53221.x. [DOI] [PubMed] [Google Scholar]
- 19.Katzman R, Brown T, Fuld P, Peck A, Schechter R, Schimmel H. Validation of a short Orientation-Memory-Concentration Test of cognitive impairment. Am J Psychiatry 1983;140(6):734–9. DOI: 10.1176/ajp.140.6.734. [DOI] [PubMed] [Google Scholar]
- 20.Tuch G, Soo WK, Luo KY, et al. Cognitive Assessment Tools Recommended in Geriatric Oncology Guidelines: A Rapid Review. Curr Oncol 2021;28(5):3987–4003. DOI: 10.3390/curroncol28050339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dale W, Klepin HD, Williams GR, et al. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Systemic Cancer Therapy: ASCO Guideline Update. J Clin Oncol 2023;41(26):4293–4312. DOI: 10.1200/JCO.23.00933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Smith PJ, Lew M, Lowder Y, et al. Cognitive impairment in candidates for allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplant 2022;57(1):89–94. DOI: 10.1038/s41409-021-01470-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Smith T, Gildeh N, Holmes C. The Montreal Cognitive Assessment: validity and utility in a memory clinic setting. Can J Psychiatry 2007;52(5):329–32. DOI: 10.1177/070674370705200508. [DOI] [PubMed] [Google Scholar]
- 24.Koll TT, Sheese AN, Semin J, et al. Screening for cognitive impairment in older adults with hematological malignancies using the Montreal Cognitive Assessment and neuropsychological testing. J Geriatr Oncol 2020;11(2):297–303. DOI: 10.1016/j.jgo.2019.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Artz A, Logan BR, Saber W, et al. The Composite Health Risk Assessment Model (CHARM) to Predict 1-Year Non-Relapse Mortality (NRM) Among Older Recipients of Allogeneic Transplantation: A Prospective BMT-CTN Study 1704. Blood 2023;142(Supplement 1):109–109. DOI: 10.1182/blood-2023-173855. [DOI] [Google Scholar]
- 26.Hurria A, Cirrincione CT, Muss HB, et al. Implementing a geriatric assessment in cooperative group clinical cancer trials: CALGB 360401. J Clin Oncol 2011;29(10):1290–6. DOI: 10.1200/JCO.2010.30.6985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jayani RV, Magnuson AM, Sun CL, et al. Association between a cognitive screening test and severe chemotherapy toxicity in older adults with cancer. J Geriatr Oncol 2020;11(2):284–289. DOI: 10.1016/j.jgo.2019.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Bray VJ, Dhillon HM, Vardy JL. Systematic review of self-reported cognitive function in cancer patients following chemotherapy treatment. J Cancer Surviv 2018;12(4):537–559. DOI: 10.1007/s11764-018-0692-x. [DOI] [PubMed] [Google Scholar]
- 29.Vardy JL, Bray VJ, Dhillon HM. Cancer-induced cognitive impairment: practical solutions to reduce and manage the challenge. Future Oncol 2017;13(9):767–771. DOI: 10.2217/fon-2017-0027. [DOI] [PubMed] [Google Scholar]
- 30.Cusatis R, Balza J, Uttke Z, et al. Patient-reported cognitive function among hematopoietic stem cell transplant and cellular therapy patients: a scoping review. Qual Life Res 2023;32(4):939–964. DOI: 10.1007/s11136-022-03258-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Jensen RE, Moinpour CM, Potosky AL, et al. Responsiveness of 8 Patient-Reported Outcomes Measurement Information System (PROMIS) measures in a large, community-based cancer study cohort. Cancer 2017;123(2):327–335. DOI: 10.1002/cncr.30354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Shaw BE, Syrjala KL, Onstad LE, et al. PROMIS measures can be used to assess symptoms and function in long-term hematopoietic cell transplantation survivors. Cancer 2018;124(4):841–849. DOI: 10.1002/cncr.31089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Henneghan AM, Van Dyk K, Kaufmann T, et al. Measuring Self-Reported Cancer-Related Cognitive Impairment: Recommendations From the Cancer Neuroscience Initiative Working Group. J Natl Cancer Inst 2021;113(12):1625–1633. DOI: 10.1093/jnci/djab027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Edelen MO, Harrison JM, Rodriguez A, et al. Evaluation of PROMIS Cognitive Function Scores and Correlates in a Clinical Sample of Older Adults. Gerontol Geriatr Med 2022;8:23337214221119057. DOI: 10.1177/23337214221119057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Howland M, Tatsuoka C, Smyth KA, Sajatovic M. Evaluating PROMIS((R)) applied cognition items in a sample of older adults at risk for cognitive decline. Psychiatry Res 2017;247:39–42. DOI: 10.1016/j.psychres.2016.10.072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Koch V, Wagner LI, Green HJ. Assessing neurocognitive symptoms in cancer patients and controls: Psychometric properties of the FACT-Cog3. Current Psychology 2023;42(11):9526–9536. [Google Scholar]
- 37.Aaronson NK, Ahmedzai S, Bergman B, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 1993;85(5):365–76. DOI: 10.1093/jnci/85.5.365. [DOI] [PubMed] [Google Scholar]
- 38.McQuellon RP, Russell GB, Cella DF, et al. Quality of life measurement in bone marrow transplantation: development of the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) scale. Bone Marrow Transplant 1997;19(4):357–68. DOI: 10.1038/sj.bmt.1700672. [DOI] [PubMed] [Google Scholar]
- 39.Harder H, Duivenvoorden HJ, van Gool AR, Cornelissen JJ, van den Bent MJ. Neurocognitive functions and quality of life in haematological patients receiving haematopoietic stem cell grafts: a one-year follow-up pilot study. J Clin Exp Neuropsychol 2006;28(3):283–93. DOI: 10.1080/13803390490918147. [DOI] [PubMed] [Google Scholar]
- 40.Sorror M, Saber W, Logan BR, et al. The Composite Health Risk Assessment Model (CHARM) Predicts Risks of Toxicities, Functional and Cognitive Decline Among Survivors of Allogeneic Hematopoietic Cell Transplantation (allo-HCT): A Prospective BMT-CTN Study 1704. Blood 2024;144(Supplement 1):685–685. DOI: 10.1182/blood-2024-194414. [DOI] [Google Scholar]
- 41.Alfaro T, Salas MQ, Atenafu E, et al. Use of Pre-Transplant Minicog Cognitive Impairment Screening and Validation of Frailty and Functionality Assessment Prior to Allogeneic Hematopoietic Stem Cell Transplantation. Blood 2023;142(Supplement 1):5094–5094. DOI: 10.1182/blood-2023-191009. [DOI] [Google Scholar]
- 42.Deschler B, Ihorst G, Schnitzler S, Bertz H, Finke J. Geriatric assessment and quality of life in older patients considered for allogeneic hematopoietic cell transplantation: a prospective risk factor and serial assessment analysis. Bone Marrow Transplant 2018;53(5):565–575. DOI: 10.1038/s41409-017-0021-4. [DOI] [PubMed] [Google Scholar]
- 43.Olin RL, Fretham C, Pasquini MC, et al. Geriatric assessment in older alloHCT recipients: association of functional and cognitive impairment with outcomes. Blood Adv 2020;4(12):2810–2820. DOI: 10.1182/bloodadvances.2020001719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Lin RJ, Kim SJ, Brown S, et al. Prospective geriatric assessment and geriatric consultation in CAR T-cell therapy for older patients with lymphoma. Blood Adv 2023;7(14):3501–3505. DOI: 10.1182/bloodadvances.2023010003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Meyers G, Bubalo J, Eckstrom E, et al. Transplantation-Associated Altered Mentation and Encephalopathy: A New Classification for Acute Neurocognitive Changes Associated with Hematopoietic Cell Transplantation from the ASTCT Committee on Practice Guidelines. Transplant Cell Ther 2024;30(7):646–662. DOI: 10.1016/j.jtct.2024.04.009. [DOI] [PubMed] [Google Scholar]
- 46.Schofield HT, Fabrizio VA, Braniecki S, et al. Monitoring Neurocognitive Functioning After Pediatric Cellular Therapy or Hematopoietic Cell Transplant: Guidelines From the COG Neurocognition in Cellular Therapies Task Force. Transplant Cell Ther 2022;28(10):625–636. DOI: 10.1016/j.jtct.2022.06.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lin RJ, Hilden PD, Elko TA, et al. Burden and impact of multifactorial geriatric syndromes in allogeneic hematopoietic cell transplantation for older adults. Blood Adv 2019;3(1):12–20. DOI: 10.1182/bloodadvances.2018028241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Winsnes K, Sochacki P, Eriksson C, et al. Delirium in the pediatric hematology, oncology, and bone marrow transplant population. Pediatr Blood Cancer 2019;66(6):e27640. DOI: 10.1002/pbc.27640. [DOI] [PubMed] [Google Scholar]
- 49.Lin CJ, Su IC, Huang SW, et al. Delirium assessment tools among hospitalized older adults: A systematic review and metaanalysis of diagnostic accuracy. Ageing Res Rev 2023;90:102025. DOI: 10.1016/j.arr.2023.102025. [DOI] [PubMed] [Google Scholar]
- 50.Neelapu SS, Locke FL, Bartlett NL, et al. Axicabtagene Ciloleucel CAR T-Cell Therapy in Refractory Large B-Cell Lymphoma. N Engl J Med 2017;377(26):2531–2544. DOI: 10.1056/NEJMoa1707447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Rodriguez-Otero P, Ailawadhi S, Arnulf B, et al. Ide-cel or Standard Regimens in Relapsed and Refractory Multiple Myeloma. N Engl J Med 2023;388(11):1002–1014. DOI: 10.1056/NEJMoa2213614. [DOI] [PubMed] [Google Scholar]
- 52.Cohen AD, Parekh S, Santomasso BD, et al. Incidence and management of CAR-T neurotoxicity in patients with multiple myeloma treated with ciltacabtagene autoleucel in CARTITUDE studies. Blood Cancer J 2022;12(2):32. DOI: 10.1038/s41408-022-00629-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Lee DW, Santomasso BD, Locke FL, et al. ASTCT consensus grading for cytokine release syndrome and neurologic toxicity associated with immune effector cells. Biology of blood and marrow transplantation 2019;25(4):625–638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Greenbaum U, Strati P, Saliba RM, et al. CRP and ferritin in addition to the EASIX score predict CAR-T–related toxicity. Blood Advances 2021;5(14):2799–2806. DOI: 10.1182/bloodadvances.2021004575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Wesson W, Scott L, Suleman N, et al. Neurocognitive testing to predict ICANS post-CAR T. Journal of Clinical Oncology 2024;42(16_suppl):e19003–e19003. DOI: 10.1200/JCO.2024.42.16_suppl.e19003. [DOI] [Google Scholar]
- 56.Wesson W, Scott L, Suleman N, et al. CT-618 Neurocognitive Testing to Predict ICANS Post-Chimeric Antigen (CAR) T-Cell Therapy. Clinical Lymphoma Myeloma and Leukemia 2024;24:S611. DOI: 10.1016/S2152-2650(24)01789-0. [DOI] [Google Scholar]
- 57.Katz H, Scott LN, Thangwaritorn P, et al. The Use of the Montreal Cognitive Assessment to Predict Neurotoxicity Post CD19 and BCMA CART. Blood 2024;144(Supplement 1):5030–5030. DOI: 10.1182/blood-2024-199312. [DOI] [Google Scholar]
- 58.Sales C, Anderson MA, Kuznetsova V, et al. Patterns of neurotoxicity among patients receiving chimeric antigen receptor T-cell therapy: A single-centre cohort study. European Journal of Neurology 2024;31(3):e16174. DOI: 10.1111/ene.16174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Traube C, Silver G, Kearney J, et al. Cornell Assessment of Pediatric Delirium: a valid, rapid, observational tool for screening delirium in the PICU*. Crit Care Med 2014;42(3):656–63. DOI: 10.1097/CCM.0b013e3182a66b76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Friedman MA, Fernandez M, Wefel JS, Myszka KA, Champlin RE, Meyers CA. Course of cognitive decline in hematopoietic stem cell transplantation: a within-subjects design. Arch Clin Neuropsychol 2009;24(7):689–98. DOI: 10.1093/arclin/acp060. [DOI] [PubMed] [Google Scholar]
- 61.Scherwath A, Schirmer L, Kruse M, et al. Cognitive functioning in allogeneic hematopoietic stem cell transplantation recipients and its medical correlates: a prospective multicenter study. Psychooncology 2013;22(7):1509–16. DOI: 10.1002/pon.3159. [DOI] [PubMed] [Google Scholar]
- 62.Syrjala KL, Dikmen S, Langer SL, Roth-Roemer S, Abrams JR. Neuropsychologic changes from before transplantation to 1 year in patients receiving myeloablative allogeneic hematopoietic cell transplant. Blood 2004;104(10):3386–92. DOI: 10.1182/blood-2004-03-1155. [DOI] [PubMed] [Google Scholar]
- 63.Basinski JR, Alfano CM, Katon WJ, Syrjala KL, Fann JR. Impact of delirium on distress, health-related quality of life, and cognition 6 months and 1 year after hematopoietic cell transplant. Biol Blood Marrow Transplant 2010;16(6):824–31. DOI: 10.1016/j.bbmt.2010.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Jacobs SR, Small BJ, Booth-Jones M, Jacobsen PB, Fields KK. Changes in cognitive functioning in the year after hematopoietic stem cell transplantation. Cancer 2007;110(7):1560–7. DOI: 10.1002/cncr.22962. [DOI] [PubMed] [Google Scholar]
- 65.Mayo SJ, Messner HA, Rourke SB, et al. Predictors of the trajectory of cognitive functioning in the first 6 months after allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplant 2020;55(5):918–928. DOI: 10.1038/s41409-019-0746-3. [DOI] [PubMed] [Google Scholar]
- 66.Hoogland AI, Nelson AM, Gonzalez BD, et al. Worsening cognitive performance is associated with increases in systemic inflammation following hematopoietic cell transplantation. Brain Behav Immun 2019;80:308–314. DOI: 10.1016/j.bbi.2019.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Harrison RA, Sharafeldin N, Rexer JL, et al. Neurocognitive Impairment After Hematopoietic Stem Cell Transplant for Hematologic Malignancies: Phenotype and Mechanisms. Oncologist 2021;26(11):e2021–e2033. DOI: 10.1002/onco.13867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Mayo SJ, Wozniczka I, Edwards B, et al. A Qualitative Study of the Everyday Impacts of Cognitive Difficulties After Stem Cell Transplantation. Oncol Nurs Forum 2022;49(4):315–325. DOI: 10.1188/22.ONF.315-325. [DOI] [PubMed] [Google Scholar]
- 69.Sharafeldin N, Bosworth A, Patel SK, et al. Cognitive Functioning After Hematopoietic Cell Transplantation for Hematologic Malignancy: Results From a Prospective Longitudinal Study. J Clin Oncol 2018;36(5):463–475. DOI: 10.1200/JCO.2017.74.2270. [DOI] [PubMed] [Google Scholar]
- 70.Hoogland AI, Barata A, Logue J, et al. Change in Neurocognitive Performance Among Patients with Non-Hodgkin Lymphoma in the First Year after Chimeric Antigen Receptor T Cell Therapy. Transplant Cell Ther 2022;28(6):305 e1–305 e9. DOI: 10.1016/j.jtct.2022.03.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Maillet D, Belin C, Moroni C, et al. Evaluation of mid-term (6–12 months) neurotoxicity in B-cell lymphoma patients treated with CAR T cells: a prospective cohort study. Neuro Oncol 2021;23(9):1569–1575. DOI: 10.1093/neuonc/noab077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Ruark J, Mullane E, Cleary N, et al. Patient-Reported Neuropsychiatric Outcomes of Long-Term Survivors after Chimeric Antigen Receptor T Cell Therapy. Biol Blood Marrow Transplant 2020;26(1):34–43. DOI: 10.1016/j.bbmt.2019.09.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Nakamura ZM, Ali NT, Crouch A, et al. Impact of Cognitive Rehabilitation on Cognitive and Functional Outcomes in Adult Cancer Survivors: A Systematic Review. Semin Oncol Nurs 2024;40(5):151696. DOI: 10.1016/j.soncn.2024.151696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Fissler P, Kuster OC, Laptinskaya D, Loy LS, von Arnim CAF, Kolassa IT. Jigsaw Puzzling Taps Multiple Cognitive Abilities and Is a Potential Protective Factor for Cognitive Aging. Front Aging Neurosci 2018;10:299. DOI: 10.3389/fnagi.2018.00299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.DuMontier C, Liu MA, Murillo A, et al. Function, Survival, and Care Utilization Among Older Adults With Hematologic Malignancies. J Am Geriatr Soc 2019;67(5):889–897. DOI: 10.1111/jgs.15835. [DOI] [PubMed] [Google Scholar]
- 76.Hshieh TT, Jung WF, Grande LJ, et al. Prevalence of Cognitive Impairment and Association With Survival Among Older Patients With Hematologic Cancers. JAMA Oncol 2018;4(5):686–693. DOI: 10.1001/jamaoncol.2017.5674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Min GJ, Cho BS, Park SS, et al. Geriatric assessment predicts nonfatal toxicities and survival for intensively treated older adults with AML. Blood 2022;139(11):1646–1658. DOI: 10.1182/blood.2021013671. [DOI] [PubMed] [Google Scholar]
- 78.Chan YN, Cho Y, Hirschey R, et al. Cancer-related cognitive impairment in older adults with acute myeloid leukemia treated with hypomethylating agents and venetoclax chemotherapy: a longitudinal descriptive study. Support Care Cancer 2024;32(7):485. DOI: 10.1007/s00520-024-08673-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Huang LW, Shi Y, Boscardin WJ, Steinman MA. Cognitive Trajectories in Older Adults Diagnosed With Hematologic Malignant Neoplasms. JAMA Netw Open 2024;7(8):e2431057. DOI: 10.1001/jamanetworkopen.2024.31057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Jayani R, Rosko A, Olin R, Artz A. Use of geriatric assessment in hematopoietic cell transplant. J Geriatr Oncol 2020;11(2):225–236. DOI: 10.1016/j.jgo.2019.09.012. [DOI] [PubMed] [Google Scholar]
- 81.Hoogland AI, Nelson AM, Small BJ, et al. The Role of Age in Neurocognitive Functioning among Adult Allogeneic Hematopoietic Cell Transplant Recipients. Biol Blood Marrow Transplant 2017;23(11):1974–1979. DOI: 10.1016/j.bbmt.2017.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Yates SJ, Cursio JF, Artz A, et al. Optimization of older adults by a geriatric assessment-guided multidisciplinary clinic before CAR T-cell therapy. Blood Adv 2024;8(14):3785–3797. DOI: 10.1182/bloodadvances.2024012727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Barata A, Hoogland AI, Kommalapati A, et al. Change in Patients' Perceived Cognition Following Chimeric Antigen Receptor T-Cell Therapy for Lymphoma. Transplant Cell Ther 2022;28(7):401 e1–401 e7. DOI: 10.1016/j.jtct.2022.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Johnson PC, Neckermann I, Sadrzadeh H, Newcomb R, El-Jawahri AR, Frigault MJ. Clinical Outcomes and Toxicity in Older Adults Receiving Chimeric Antigen Receptor T Cell Therapy. Transplant Cell Ther 2024;30(5):490–499. DOI: 10.1016/j.jtct.2024.02.019. [DOI] [PubMed] [Google Scholar]
- 85.Armenian SH, Sun CL, Kawashima T, et al. Long-term health-related outcomes in survivors of childhood cancer treated with HSCT versus conventional therapy: a report from the Bone Marrow Transplant Survivor Study (BMTSS) and Childhood Cancer Survivor Study (CCSS). Blood 2011;118(5):1413–20. DOI: 10.1182/blood-2011-01-331835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Gioia GA, Isquith PK, Retzlaff PD, Espy KA. Confirmatory factor analysis of the Behavior Rating Inventory of Executive Function (BRIEF) in a clinical sample. Child Neuropsychol 2002;8(4):249–57. DOI: 10.1076/chin.8.4.249.13513. [DOI] [PubMed] [Google Scholar]
- 87.Leahy AB, Steineck A. Patient-Reported Outcomes in Pediatric Oncology: The Patient Voice as a Gold Standard. JAMA Pediatr 2020;174(11):e202868. DOI: 10.1001/jamapediatrics.2020.2868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Maruff P, Thomas E, Cysique L, et al. Validity of the CogState brief battery: relationship to standardized tests and sensitivity to cognitive impairment in mild traumatic brain injury, schizophrenia, and AIDS dementia complex. Arch Clin Neuropsychol 2009;24(2):165–78. DOI: 10.1093/arclin/acp010. [DOI] [PubMed] [Google Scholar]
- 89.Boberg E, Kadri N, Hagey DW, et al. Cognitive impairments correlate with increased central nervous system immune activation after allogeneic haematopoietic stem cell transplantation. Leukemia 2023;37(4):888–900. DOI: 10.1038/s41375-023-01840-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Sharafeldin N, Richman J, Bosworth A, et al. Clinical and Genetic Risk Prediction of Cognitive Impairment After Blood or Marrow Transplantation for Hematologic Malignancy. J Clin Oncol 2020;38(12):1312–1321. DOI: 10.1200/JCO.19.01085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Butt OH, Zhou AY, Ances BM, DiPersio JF, Ghobadi A. A systematic framework for predictive biomarkers in immune effector cell-associated neurotoxicity syndrome. Front Neurol 2023;14:1110647. DOI: 10.3389/fneur.2023.1110647. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Correa DD, Root JC, Baser R, et al. A prospective evaluation of changes in brain structure and cognitive functions in adult stem cell transplant recipients. Brain Imaging Behav 2013;7(4):478–90. DOI: 10.1007/s11682-013-9221-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Shalabi H, McGuire J, Pinto S, et al. Neuroimaging Findings during Immune Effector Cell Associated Neurotoxicity Syndrome (ICANS) - a CAR T Cell Neurotoxicity Imaging Virtual Archive (CARNIVAL) Study. Transplantation and Cellular Therapy, Official Publication of the American Society for Transplantation and Cellular Therapy 2024;30(2):S183–S184. DOI: 10.1016/j.jtct.2023.12.238. [DOI] [Google Scholar]
- 94.Correa DD, Vachha BA, Baser RE, et al. Neuroimaging and Neurocognitive Outcomes in Older Patients with Multiple Myeloma Treated with Chemotherapy and Autologous Stem Cell Transplantation. Cancers (Basel) 2023;15(18). DOI: 10.3390/cancers15184484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Holroyd KB, Rubin DB, LaRose S, et al. Use of Transcranial Doppler as a Biomarker of CAR T Cell-Related Neurotoxicity. Neurol Clin Pract 2022;12(1):22–28. DOI: 10.1212/CPJ.0000000000001130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Jones DK, Eckhardt CA, Sun H, et al. EEG-based grading of immune effector cell-associated neurotoxicity syndrome. Sci Rep 2022;12(1):20011. DOI: 10.1038/s41598-022-24010-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Katz MJ, Wang C, Nester CO, et al. T-MoCA: A valid phone screen for cognitive impairment in diverse community samples. Alzheimers Dement (Amst) 2021;13(1):e12144. DOI: 10.1002/dad2.12144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Kawas C, Karagiozis H, Resau L, Corrada M, Brookmeyer R. Reliability of the Blessed Telephone Information-Memory-Concentration Test. J Geriatr Psychiatry Neurol 1995;8(4):238–42. DOI: 10.1177/089198879500800408. [DOI] [PubMed] [Google Scholar]
- 99.DuMontier C, Jaung T, Bahl NE, et al. Virtual frailty assessment for older adults with hematologic malignancies. Blood Adv 2022;6(18):5360–5363. DOI: 10.1182/bloodadvances.2022007188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Huang LW, Sheng Y, Andreadis C, et al. Functional Status as Measured by Geriatric Assessment Predicts Inferior Survival in Older Allogeneic Hematopoietic Cell Transplantation Recipients. Biol Blood Marrow Transplant 2020;26(1):189–196. DOI: 10.1016/j.bbmt.2019.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Wu NL, Phipps AI, Krull KR, et al. Long-term patient-reported neurocognitive outcomes in adult survivors of hematopoietic cell transplant. Blood Adv 2022;6(14):4347–4356. DOI: 10.1182/bloodadvances.2021006672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Sidana S, Dueck AC, Thanarajasingam G, et al. Longitudinal Patient Reported Outcomes with CAR-T Cell Therapy Versus Autologous and Allogeneic Stem Cell Transplant. Transplant Cell Ther 2022;28(8):473–482. DOI: 10.1016/j.jtct.2022.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Murdaugh DL, Bosworth A, Patel SK, et al. Self-endorsed cognitive problems versus objectively assessed cognitive impairment in blood or bone marrow transplantation recipients: A longitudinal study. Cancer 2020;126(10):2174–2182. DOI: 10.1002/cncr.32773. [DOI] [PMC free article] [PubMed] [Google Scholar]
