First name
Tamara
Middle name
P
Last name
Miller

Title

Absolute lymphocyte count recovery following initial acute myelogenous leukemia therapy: Implications for adoptive cell therapy.

Year of Publication

2022

Number of Pages

e30062

Date Published

11/2022

ISSN Number

1545-5017

Abstract

BACKGROUND: An adequate absolute lymphocyte count (ALC) is an essential first step in autologous chimeric antigen receptor (CAR) T-cell manufacturing. For patients with acute myelogenous leukemia (AML), the intensity of chemotherapy received may affect adequate ALC recovery required for CAR T-cell production. We sought to analyze ALC following each course of upfront therapy as one metric for CAR T-cell manufacturing feasibility in children and young adults with AML.

PROCEDURE: ALC data were collected from an observational study of patients with newly diagnosed AML between the ages of 1 month and 21 years who received treatment between the years of 2006 and 2018 at one of three hospitals in the Leukemia Electronic Abstraction of Records Network (LEARN) consortium.

RESULTS: Among 193 patients with sufficient ALC data for analysis, the median ALC following induction 1 was 1715 cells/μl (interquartile range: 1166-2388), with successive decreases in ALC with each subsequent course. Similarly, the proportion of patients achieving an ALC >400 cells/μl decreased following each course, ranging from 98.4% (190/193) after course 1 to 66.7% (22/33) for patients who received a fifth course of therapy.

CONCLUSIONS: There is a successive decline of ALC recovery with subsequent courses of chemotherapy. Despite this decline, ALC values are likely sufficient to consider apheresis prior to the initiation of each course of upfront therapy for the majority of newly diagnosed pediatric AML patients, thereby providing a window of opportunity for T-cell collection for those patients identified at high risk of relapse or with refractory disease.

DOI

10.1002/pbc.30062

Alternate Title

Pediatr Blood Cancer

PMID

36370087

Title

Rates of laboratory adverse events by course in paediatric leukaemia ascertained with automated electronic health record extraction: a retrospective cohort study from the Children's Oncology Group.

Year of Publication

2022

Number of Pages

e678-e688

Date Published

07/2022

ISSN Number

2352-3026

Abstract

BACKGROUND: Adverse events are often misreported in clinical trials, leading to an incomplete understanding of toxicities. We aimed to test automated laboratory adverse event ascertainment and grading (via the ExtractEHR automated package) to assess its scalability and define adverse event rates for children with acute myeloid leukaemia and acute lymphoblastic leukaemia.

METHODS: For this retrospective cohort study from the Children's Oncology Group (COG), we included patients aged 0-22 years treated for acute myeloid leukaemia or acute lymphoblastic leukaemia at Children's Healthcare of Atlanta (Atlanta, GA, USA) from Jan 1, 2010, to Nov 1, 2018, at the Children's Hospital of Philadelphia (Philadelphia, PA, USA) from Jan 1, 2011, to Dec 31, 2014, and at the Texas Children's Hospital (Houston, TX, USA) from Jan 1, 2011, to Dec 31, 2014. The ExtractEHR automated package acquired, cleaned, and graded laboratory data as per Common Terminology Criteria for Adverse Events (CTCAE) version 5 for 22 commonly evaluated grade 3-4 adverse events (fatal events were not evaluated) with numerically based CTCAE definitions. Descriptive statistics tabulated adverse event frequencies. Adverse events ascertained by ExtractEHR were compared to manually reported adverse events for patients enrolled in two COG trials (AAML1031, NCT01371981; AALL0932, NCT02883049). Analyses were restricted to protocol-defined chemotherapy courses (induction I, induction II, intensification I, intensification II, and intensification III for acute myeloid leukaemia; induction, consolidation, interim maintenance, delayed intensification, and maintenance for acute lymphoblastic leukaemia).

FINDINGS: Laboratory adverse event data from 1077 patients (583 from Children's Healthcare of Atlanta, 200 from the Children's Hospital of Philadelphia, and 294 from the Texas Children's Hospital) who underwent 4611 courses (549 for acute myeloid leukaemia and 4062 for acute lymphoblastic leukaemia) were extracted, processed, and graded. Of the 166 patients with acute myeloid leukaemia, 86 (52%) were female, 80 (48%) were male, 96 (58%) were White, and 132 (80%) were non-Hispanic. Of the 911 patients with acute lymphoblastic leukaemia, 406 (45%) were female, 505 (55%) were male, 596 (65%) were White, and 641 (70%) were non-Hispanic. Patients with acute myeloid leukaemia had the most adverse events during induction I and intensification II. Hypokalaemia (one [17%] of six to 75 [48%] of 156 courses) and alanine aminotransferase (ALT) increased (13 [10%] of 134 to 27 [17%] of 156 courses) were the most prevalent non-haematological adverse events in patients with acute myeloid leukaemia, as identified by ExtractEHR. Patients with acute lymphoblastic leukaemia had the greatest number of adverse events during induction and maintenance (eight adverse events with prevalence ≥10%; induction and maintenance: anaemia, platelet count decreased, white blood cell count decreased, neutrophil count decreased, lymphocyte count decreased, ALT increased, and hypocalcaemia; induction: hypokalaemia; maintenance: aspartate aminotransferase [AST] increased and blood bilirubin increased), as identified by ExtractEHR. 187 (85%) of 220 total comparisons in 22 adverse events in four AAML1031 and six AALL0923 courses were substantially higher with ExtractEHR than COG-reported adverse event rates for adverse events with a prevalence of at least 2%.

INTERPRETATION: ExtractEHR is scalable and accurately defines laboratory adverse event rates for paediatric acute leukaemia; moreover, ExtractEHR seems to detect higher rates of laboratory adverse events than those reported in COG trials. These rates can be used for comparisons between therapies and to counsel patients treated on or off trials about the risks of chemotherapy. ExtractEHR-based adverse event ascertainment can improve reporting of laboratory adverse events in clinical trials.

FUNDING: US National Institutes of Health, St Baldrick's Foundation, and Alex's Lemonade Stand Foundation.

DOI

10.1016/S2352-3026(22)00168-5

Alternate Title

Lancet Haematol

PMID

35870472

Title

Rates of laboratory adverse events by course in paediatric leukaemia ascertained with automated electronic health record extraction: a retrospective cohort study from the Children's Oncology Group.

Year of Publication

2022

Number of Pages

e678-e688

Date Published

07/2022

ISSN Number

2352-3026

Abstract

BACKGROUND: Adverse events are often misreported in clinical trials, leading to an incomplete understanding of toxicities. We aimed to test automated laboratory adverse event ascertainment and grading (via the ExtractEHR automated package) to assess its scalability and define adverse event rates for children with acute myeloid leukaemia and acute lymphoblastic leukaemia.

METHODS: For this retrospective cohort study from the Children's Oncology Group (COG), we included patients aged 0-22 years treated for acute myeloid leukaemia or acute lymphoblastic leukaemia at Children's Healthcare of Atlanta (Atlanta, GA, USA) from Jan 1, 2010, to Nov 1, 2018, at the Children's Hospital of Philadelphia (Philadelphia, PA, USA) from Jan 1, 2011, to Dec 31, 2014, and at the Texas Children's Hospital (Houston, TX, USA) from Jan 1, 2011, to Dec 31, 2014. The ExtractEHR automated package acquired, cleaned, and graded laboratory data as per Common Terminology Criteria for Adverse Events (CTCAE) version 5 for 22 commonly evaluated grade 3-4 adverse events (fatal events were not evaluated) with numerically based CTCAE definitions. Descriptive statistics tabulated adverse event frequencies. Adverse events ascertained by ExtractEHR were compared to manually reported adverse events for patients enrolled in two COG trials (AAML1031, NCT01371981; AALL0932, NCT02883049). Analyses were restricted to protocol-defined chemotherapy courses (induction I, induction II, intensification I, intensification II, and intensification III for acute myeloid leukaemia; induction, consolidation, interim maintenance, delayed intensification, and maintenance for acute lymphoblastic leukaemia).

FINDINGS: Laboratory adverse event data from 1077 patients (583 from Children's Healthcare of Atlanta, 200 from the Children's Hospital of Philadelphia, and 294 from the Texas Children's Hospital) who underwent 4611 courses (549 for acute myeloid leukaemia and 4062 for acute lymphoblastic leukaemia) were extracted, processed, and graded. Of the 166 patients with acute myeloid leukaemia, 86 (52%) were female, 80 (48%) were male, 96 (58%) were White, and 132 (80%) were non-Hispanic. Of the 911 patients with acute lymphoblastic leukaemia, 406 (45%) were female, 505 (55%) were male, 596 (65%) were White, and 641 (70%) were non-Hispanic. Patients with acute myeloid leukaemia had the most adverse events during induction I and intensification II. Hypokalaemia (one [17%] of six to 75 [48%] of 156 courses) and alanine aminotransferase (ALT) increased (13 [10%] of 134 to 27 [17%] of 156 courses) were the most prevalent non-haematological adverse events in patients with acute myeloid leukaemia, as identified by ExtractEHR. Patients with acute lymphoblastic leukaemia had the greatest number of adverse events during induction and maintenance (eight adverse events with prevalence ≥10%; induction and maintenance: anaemia, platelet count decreased, white blood cell count decreased, neutrophil count decreased, lymphocyte count decreased, ALT increased, and hypocalcaemia; induction: hypokalaemia; maintenance: aspartate aminotransferase [AST] increased and blood bilirubin increased), as identified by ExtractEHR. 187 (85%) of 220 total comparisons in 22 adverse events in four AAML1031 and six AALL0923 courses were substantially higher with ExtractEHR than COG-reported adverse event rates for adverse events with a prevalence of at least 2%.

INTERPRETATION: ExtractEHR is scalable and accurately defines laboratory adverse event rates for paediatric acute leukaemia; moreover, ExtractEHR seems to detect higher rates of laboratory adverse events than those reported in COG trials. These rates can be used for comparisons between therapies and to counsel patients treated on or off trials about the risks of chemotherapy. ExtractEHR-based adverse event ascertainment can improve reporting of laboratory adverse events in clinical trials.

FUNDING: US National Institutes of Health, St Baldrick's Foundation, and Alex's Lemonade Stand Foundation.

DOI

10.1016/S2352-3026(22)00168-5

Alternate Title

Lancet Haematol

PMID

35870472

Title

A report from the Leukemia Electronic Abstraction of Records Network on risk of hepatotoxicity during pediatric acute lymphoblastic leukemia treatment.

Year of Publication

2022

Date Published

2022 Jan 27

ISSN Number

1592-8721

Abstract

<p>Not available.</p>

DOI

10.3324/haematol.2021.279805

Alternate Title

Haematologica

PMID

35081687

Title

Incidence and risk factors for hypoglycemia during maintenance chemotherapy in pediatric acute lymphoblastic leukemia.

Year of Publication

2021

Number of Pages

e29467

Date Published

2021 Nov 22

ISSN Number

1545-5017

Abstract

<p><strong>BACKGROUND: </strong>Fasting hypoglycemia is a recognized occurrence among pediatric patients with acute lymphoblastic leukemia (ALL) during maintenance therapy. Existing publications describing this finding are limited to small studies and case reports. Our objective was to determine the incidence of hypoglycemia during maintenance chemotherapy and to investigate the association of age, as well as other potential risk factors, with this outcome in pediatric patients with ALL.</p>

<p><strong>PROCEDURE: </strong>This retrospective cohort study included individuals 1 to 21 years of age with ALL treated with antimetabolite-containing maintenance chemotherapy at a large children's hospital between January 2011 and December 2014. The primary endpoint was time to first documented episode of hypoglycemia during maintenance therapy, defined as single measurement of plasma glucose&nbsp;&lt;60&nbsp;mg/dL. Cox regression was used to evaluate the association with age and identify other potential risk factors.</p>

<p><strong>RESULTS: </strong>We identified 126 eligible patients, of whom 63% were documented as White, non-Hispanic, 28% as non-White, non-Hispanic, and 9% as Hispanic. Twenty-eight children (22%) had documented hypoglycemia during maintenance therapy. Younger age at the start of maintenance and hepatotoxicity documented during chemotherapy prior to maintenance initiation were associated with hypoglycemia (adjusted HR age&nbsp;=&nbsp;0.88; 95% CI, 0.78-0.99; adjusted HR prior hepatotoxicity&nbsp;=&nbsp;3.50; 95% CI, 1.47-8.36).</p>

<p><strong>CONCLUSIONS: </strong>Nearly one quarter of children in our cohort had hypoglycemia documented during maintenance chemotherapy. Younger age at maintenance initiation and hepatotoxicity during chemotherapy prior to maintenance initiation emerged as risk factors. These findings highlight the importance of counseling about the risk of, and monitoring for, hypoglycemia, particularly in young children.</p>

DOI

10.1002/pbc.29467

Alternate Title

Pediatr Blood Cancer

PMID

34811879

Title

Challenges and Barriers to Adverse Event Reporting in Clinical Trials: A Children's Oncology Group Report.

Year of Publication

2021

Date Published

2021 Sep 23

ISSN Number

1549-8425

Abstract

<p><strong>OBJECTIVE: </strong>Adverse event (AE) reporting is crucial for determining safety of trials. Adverse events are captured manually by clinical research associates (CRAs) and research nurses (RNs), and prior studies show underreporting. It is necessary to understand AE reporting training, processes, and institution-level differences to improve AE capture.</p>

<p><strong>METHODS: </strong>A 26-item questionnaire regarding AE reporting training, identification, tracking, and challenges was distributed to all Children's Oncology Group (COG) CRAs and RNs from February 15 to March 11, 2019, regardless of if they report AEs based on limitations of COG rosters. Results were tabulated. Institutions were grouped by self-reported full-time equivalents and compared using χ2 tests.</p>

<p><strong>RESULTS: </strong>Of 1315 CRAs and 2703 RNs surveyed, 509 (12.7%) responded. Of those, 369 (64.9%) representing 71.8% of COG institutions report AEs. Only data from respondents who report AEs were collected and analyzed. There was a range in AE training; COG training modules were most common (79.7%). There was wide variability in AE ascertainment; only 51.2% use standardized approaches at their site. There was no standard AE tracking method; larger sites more commonly use spreadsheets (P = 0.002) and smaller sites more commonly use paper (P = 0.028). The greatest AE reporting challenges were differences between protocols (70%) and between AE definitions and documentation (53%). Half of the respondents endorsed 6 of 13 proposed tools for improving reporting including online AE reporting modules (75.3%), tip sheets for interpreting Common Terminology Criteria for Adverse Events definitions (67.5%), and standardized AE tracking forms (66.9%). Only half of the respondents reported that all colleagues at their site followed the same AE reporting practices, and there was no dominant AE tracking approach across the respondents.</p>

<p><strong>DISCUSSION: </strong>There is wide variability in AE reporting training and practices. Numerous challenges exist, including differences between trials, challenges in interpreting AE definitions, and engaging clinicians.</p>

<p><strong>CONCLUSIONS: </strong>Respondents are eager for additional central resources. These results provide a roadmap for areas of potential improvement.</p>

DOI

10.1097/PTS.0000000000000911

Alternate Title

J Patient Saf

PMID

34570002

Title

Evolution of Hematology Clinical Trial Adverse Event Reporting to Improve Care Delivery.

Year of Publication

2021

Date Published

2021 Mar 30

ISSN Number

1558-822X

Abstract

<p><strong>PURPOSE OF REVIEW: </strong>Reporting of adverse events on hematology clinical trials is crucial to understanding the safety of standard treatments and novel agents. However, despite the importance of understanding toxicities, challenges in capturing and reporting accurate adverse event data exist.</p>

<p><strong>RECENT FINDINGS: </strong>Currently, adverse events are reported manually on most hematology clinical trials. Especially on phase III trials, the highest grade of each adverse event during a reporting period is typically reported. Despite the effort committed to AE reporting, studies have identified underreporting of adverse events on hematologic malignancy clinical trials, which raises concern about the true understanding of safety of treatment that clinicians have in order to guide patients about what to expect during therapy. In order to address these concerns, recent studies have piloted alternative methods for identification of adverse events. These methods include automated extraction of adverse event data from the electronic health record, implementation of trigger or alert tools into the medical record, and analytic tools to evaluate duration of adverse events rather than only the highest adverse event grade. Adverse event reporting is a crucial component of clinical trials. Novel tools for identifying and reporting adverse events provide opportunities for honing and refining methods of toxicity capture and improving understanding of toxicities patients experience while enrolled on clinical trials.</p>

DOI

10.1007/s11899-021-00627-3

Alternate Title

Curr Hematol Malig Rep

PMID

33786724

Title

Presentation acuity, induction mortality, and resource utilization in infants with acute leukemia.

Year of Publication

2021

Number of Pages

e28940

Date Published

2021 Mar 11

ISSN Number

1545-5017

Abstract

<p><strong>BACKGROUND: </strong>Treatment of infants with acute leukemia remains challenging, especially for acute lymphocytic leukemia (ALL). Infants have shown markedly higher rates of induction mortality compared with noninfants. There are limited data on presentation acuity and supportive care utilization in this age group.</p>

<p><strong>METHODS: </strong>In retrospective analyses of patients treated for new onset ALL or acute myeloid leukemia (AML) at pediatric hospitals contributing to the Pediatric Health Information System, we compared presentation acuity, induction mortality, and resource utilization in infants relative to noninfants less than 10&nbsp;years at diagnosis.</p>

<p><strong>RESULTS: </strong>Analyses included 10&nbsp;359 children with ALL (405 infants, 9954 noninfants) and 871 AML (189 infants, 682 noninfants). Infants were more likely to present with multisystem organ failure compared to noninfants for both ALL (12% and 1%, PR&nbsp;=&nbsp;10.8, 95% CI: 7.4, 15.7) and AML (6% vs. 3%; PR&nbsp;=&nbsp;2.0, 95% CI: 1.0, 3.7). Infants with ALL had higher induction mortality compared to noninfants, even after accounting for differences in anthracycline exposure and presentation acuity (2.7% vs. 0.5%, HR&nbsp;=&nbsp;2.1, 95% CI: 1.0, 4.8). Conversely, infants and noninfants with AML had similar rates of induction mortality (3.2% vs. 2.1%, HR&nbsp;=&nbsp;1.2, 95% CI: 0.3, 3.9), which were comparable to rates among infants with ALL. Infants with ALL and AML had greater requirements for blood products, diuretics, supplemental oxygen, and ventilation during induction relative to noninfants.</p>

<p><strong>CONCLUSIONS: </strong>Infants with leukemia present with higher acuity compared with noninfants. Induction mortality and supportive care requirements for infants with ALL were similar to all children with AML, and significantly higher than those for noninfants with ALL.</p>

DOI

10.1002/pbc.28940

Alternate Title

Pediatr Blood Cancer

PMID

33704911

Title

Identifying relapses and stem cell transplants in pediatric acute lymphoblastic leukemia using administrative data: Capturing national outcomes irrespective of trial enrollment.

Year of Publication

2020

Number of Pages

e28315

Date Published

2020 May 11

ISSN Number

1545-5017

Abstract

<p><strong>INTRODUCTION: </strong>Our objectives were to design and validate methods to identify relapse and hematopoietic stem cell transplantation (HSCT) in children with acute lymphoblastic leukemia (ALL) using administrative data representing hospitalizations at US pediatric institutions.</p>

<p><strong>METHODS: </strong>We developed daily billing and ICD-9 code definitions to identify relapses and HSCTs within a cohort of children with newly diagnosed ALL between January 1, 2004, and December 31, 2013, previously assembled from the Pediatric Health Information System (PHIS) database. Chart review for children with ALL at the Children's Hospital of Philadelphia (CHOP) and Texas Children's Hospital (TCH) was performed to establish relapse and HSCT gold standards for sensitivity and positive predictive value (PPV) calculations. We estimated incidences of relapse and HSCT in the PHIS ALL cohort.</p>

<p><strong>RESULTS: </strong>We identified 362 CHOP and 314 TCH ALL patients in PHIS and established true positives by chart review. Sensitivity and PPV for identifying both relapse and HSCT in PHIS were&nbsp;&gt;&nbsp;90% at both hospitals. Five-year relapse incidence in the 10&nbsp;150-patient PHIS cohort was 10.3% (95% CI 9.8%-10.9%) with 7.1% (6.6%-7.6%) of children underwent HSCTs. Patients in higher-risk demographic groups had higher relapse and HSCT rates. Our analysis also identified differences in incidences of relapse and HSCT by race, ethnicity, and insurance status.</p>

<p><strong>CONCLUSIONS: </strong>Administrative data can be used to identify relapse and HSCT accurately in children with ALL whether they occur on- or off-therapy, in contrast with published approaches. This method has wide potential applicability for estimating these incidences in pediatric ALL, including patients not enrolled on clinical trials.</p>

DOI

10.1002/pbc.28315

Alternate Title

Pediatr Blood Cancer

PMID

32391940

Title

Unintended consequences of evolution of the Common Terminology Criteria for Adverse Events.

Year of Publication

2019

Number of Pages

e27747

Date Published

2019 Apr 09

ISSN Number

1545-5017

Abstract

<p><strong>BACKGROUND: </strong>Adverse events (AEs) on Children's Oncology Group (COG) trials are reported manually by clinical research assistants (CRAs). The Common Terminology Criteria for Adverse Events (CTCAE) was developed to provide standardized definitions for identifying and grading AEs. The CTCAE has expanded significantly over its five versions, but the impact of CTCAE definitional changes has not been examined.</p>

<p><strong>PROCEDURE: </strong>This study compared AE number and ascertainment among the first four CTCAE versions using a case vignette. Each CTCAE version was used to create a list of AEs and grades by two separate CRAs.</p>

<p><strong>RESULTS: </strong>The CTCAE expanded from 9 categories and 49 AEs in v1.0 to 26 categories and 790 AEs in v4.0. CRAs independently selected different approaches to AE ascertainment-comprehensive and parsimonious. The number of AEs identified in the parsimonious approach was stable with 10-14 in each CTC version. The comprehensive approach identified 9, 20, 29, and 37 AEs in CTC versions 1.0, 2.0, 3.0, and 4.0, respectively. Only approximately 65% of AEs were conclusively graded in versions 2.0 to 4.0 using the comprehensive approach.</p>

<p><strong>CONCLUSIONS: </strong>CTCAE has increased in complexity. Although this increased complexity allows for more granular AE reporting, these data demonstrate potential unintended negative consequences of increasing CTC AE complexity, including the risk of varying approaches to AE capture. A comprehensive evaluation of CTC AE definitions and CRA reporting practices across COG institutions and AEs are needed to improve the accuracy and efficiency of AE reporting.</p>

DOI

10.1002/pbc.27747

Alternate Title

Pediatr Blood Cancer

PMID

30968531

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