The Nurse Practitioner Role in Complex Malignant Hematology: A Qualitative Descriptive Study

OBJECTIVES

Internationally, there is limited evidence about the role and impact of nurse practitioners (NPs) in complex malignant hematology (CMH). In one Canadian CMH program, NPs have existed for 20 years but not been evaluated. This study aimed to understand stakeholder perceptions of CMH NP role structures, processes, and outcomes and the extent to which the role meets patient and health service needs.

METHODS

A qualitative descriptive study was conducted, guided by the PEPPA-Plus framework. Purposive sampling was used to recruit stakeholders who participated in focus groups and interviews. Content analysis was used to analyze the data.

RESULTS

Participants included patients (n = 8) and healthcare professionals (n = 27). Themes about structures related to evolution of the CMH Program, model of care, and need for strategic vision. Process themes related to provision of accessible, comprehensive, and holistic care and NP workload. Positive and negative outcomes and lack of outcome measurement were identified.

CONCLUSION

Structures related to patient and NP characteristics, organizational change, staffing, and how NP work is organized impacts on NP role implementation and outcomes. Organizational structures can be strengthened to improve the model of care and NP role implementation and workload. Value-added NP contributions related to providing comprehensive care with attention to safety and social determinants of health. Research is needed to evaluate NP role outcomes in CMH.

IMPLICATIONS FOR NURSING PRACTICE

The results can inform role design and organization policies and strategies to promote the recruitment, retention, and optimization of NP roles in CMH settings. Priorities for future research are also identified.

Single center evaluation on the use of conditionally ordered low molecular weight heparins in malignant hematology patients with venous thromboembolism

BACKGROUND

Cancer and cancer-related treatments are significant independent risk factors for malignant hematology (MH) patients in developing venous thromboembolism (VTE). Treatment of VTE in MH patients at the Princess Margaret Cancer Centre is predominantly initiated with low molecular weight heparin (LMWH) in accordance with guidelines. While guidelines recommend against LMWH use in patients with thrombocytopenia, prescribers may order LMWH conditionally based on platelet values. Currently, there is a lack of consistent practice with variation in both the use of conditional orders as well as the threshold of platelet values for conditional orders. The objectives of the study were to (a) describe the use of conditionally ordered LMWH based on platelet values; (b) determine its safety by measuring administration concordance with conditional orders and bleeding event rates during inpatient admission; and (c) determine its efficacy by measuring the rate of worsening VTE or recurrence during inpatient admission.

METHODS

Electronic records of MH inpatients admitted between January 2017 and December 2019 and who were administered at least one dose of an LMWH for the treatment of VTE were screened.

RESULTS

One hundred and eight patients were screened to obtain 50 eligible patients with a median age of 59 years (SD = ±18.8 years). The most frequent MH diagnosis was acute lymphoblastic leukemia (30%). Sixty percent (n = 30) of patients received conditional orders. Out of 571 administrations, 543 (95%) were administered concordantly (Χ²(1) = 472, p < 0.0001). In this group of patients, 8 patients had either documented bleeding or experienced a drop in hemoglobin >10 g/L within a 72 h time frame. No patients experienced a recurrent VTE during inpatient treatment (for up to 40 days post-admission).

CONCLUSIONS

It appears that conditionally ordered LMWH can be concordantly administered and is safe and effective in the treatment of VTE in MH patients experiencing thrombocytopenia. There were no reports of worsening or new VTE in our small sample.

An Analysis of Dasatinib Treatment Patterns in Patients with Chronic Myeloid Leukemia after Experiencing Pleural Effusion during Dasatinib Therapy

INTRODUCTION

Treatment with dasatinib for chronic myeloid leukemia (CML) has been associated with development of pleural effusion; however, data regarding its optimal management are limited. We examined treatment patterns and healthcare resource utilization (HCRU) and costs among patients with CML treated with dasatinib who experienced a subsequent pleural effusion.

METHODS

Adults with CML and ≥1 pharmacy claim for dasatinib in 2015-2018 who experienced pleural effusion after dasatinib were identified using data from claims databases.

RESULTS

Overall, 123 patients were eligible. After 1 year, of the 38.2% of patients with a dose modification, 72.3% did not switch treatment; among these patients, 70.6% continued treatment. Among patients with a stable dose after pleural effusion (61.8%), 57.9% later switched to another TKI. The mean (SD) duration of dasatinib treatment after pleural effusion was 262.0 (124.0) days for patients with a dose modification versus 149.1 (155.2) days for those with a stable dose (p < 0.001). HCRU and costs were similar between groups.

CONCLUSION

Dasatinib dose modification after pleural effusion was not always required; however, patients with dose modifications continued therapy for a longer duration with a lower rate of switching to another TKI versus patients who remained on a stable dose.

Risks and outcomes of hospitalizations in patients with chronic lymphocytic leukemia admitted with immune thrombocytopenia: an analysis of the National Inpatient Sample Database

Immune thrombocytopenia (ITP) is a known autoimmune complication of chronic lymphocytic leukemia (CLL). Currently, there is limited data regarding the risk CLL confers on hospitalization outcomes in patients admitted with ITP.The National Inpatient Sample (NIS) database was queried using the International Classification of Diseases (ICD) codes to identify hospitalizations for ITP and then subclassified the data into hospitalizations with and without CLL. A multivariate logistic regression was designed to account for patient characteristics and comorbidities. The primary outcome was all-cause mortality. Secondary outcomes included major bleeding, gastrointestinal bleeding, intracranial bleeding, and the need for platelet transfusions, intravenous immunoglobulin, and splenectomy. Among 662,171 cases of ITP between 2005 and 2019, 15,672 had concurrent CLL. CLL patients were significantly older and had more comorbidities compared to patients without CLL. Multivariate analysis revealed CLL patients with ITP had a risk of all-cause mortality (odds ratio: 1.28, 95% CI: 1.19-1.37; p < 0.01). CLL patients also had a higher risk of complications, second-line ITP treatments, blood transfusions, and bleeding, with the exception of intracranial hemorrhage. Our study suggests CLL is an independent risk factor for increased morbidity and mortality among hospitalized patients with ITP. Prospective studies are needed to determine if refractoriness to conventional treatments for ITP can account these results.

Acute myeloid leukemia and artificial intelligence, algorithms and new scores

Artificial intelligence, and more narrowly machine-learning, is beginning to expand humanity's capacity to analyze increasingly large and complex datasets. Advances in computer hardware and software have led to breakthroughs in multiple sectors of our society, including a burgeoning role in medical research and clinical practice. As the volume of medical data grows at an apparently exponential rate, particularly since the human genome project laid the foundation for modern genetic inquiry, informatics tools like machine learning are becoming crucial in analyzing these data to provide meaningful tools for diagnostic, prognostic, and therapeutic purposes. Within medicine, hematologic diseases can be particularly challenging to understand and treat given the increasingly complex and intercalated genetic, epigenetic, immunologic, and regulatory pathways that must be understood to optimize patient outcomes. In acute myeloid leukemia (AML), new developments in machine learning algorithms have enabled a deeper understanding of disease biology and the development of better prognostic and predictive tools. Ongoing work in the field brings these developments incrementally closer to clinical implementation.

Evaluation and optimization of a clinical pharmacist driven transitions of care model for malignant hematology

PURPOSE

To implement and optimize a pilot transitions of care model for scheduled chemotherapy admissions in patients with hematologic malignancies at our institution.Methodology: We utilized the plan-do-study-act (PDSA) quality improvement technique to prospectively measure success of interventions related to improving transitions of care processes that occurred in multiple stages including development of standardized operating procedures, electronic medical record documentation, and education to the malignant hematology multidisciplinary group. Chart review was performed retrospectively for at least nine patients per PDSA cycle. Areas of intervention addressed and measured regarding communication between the ambulatory care and acute care settings included: admission purpose, processes related to insurance benefits investigations for specialty medications required in the post-discharge setting, and plan for growth factors, prophylactic antimicrobials, and follow-up.Results and conclusions: We included 28 patients and performed a total of three PDSA cycles demonstrating specific improvements in: communication regarding status of benefits investigations performed for specialty medications prior to admission, resolution of these benefits investigations at various time points, improvement in efficient use of the electronic medical record for chemotherapy orders, and patient instructions for appropriate use of prophylactic antimicrobials. Although improvement was noted initially with prescribing of discharge antiemetics and antimicrobials, regression to baseline was noted with the third PDSA cycle.

Lenalidomide Plus Hypomethylating Agent as a Treatment Option in Acute Myeloid Leukemia With Recurrent Genetic Abnormalities-AML With inv(3)(q21.3q26.2) or t(3;3)(q21.3;q26.2); GATA2, MECOM

INTRODUCTION

Acute myeloid leukemia (AML) is a heterogeneous clonal hematopoietic neoplasm. The cytogenetic changes associated with AML affect the response rate and survival and are one of the most important independent prognostic factors. AML with inv(3)(q21.3q26.2) or t(3;3)(q21.3;q26.2); GATA2, MECOM accounts for 1% to 2% of all forms of AML and has been associated with a younger age at diagnosis, a poor response to standard induction chemotherapy, and very poor long-term prognosis.

PATIENTS AND METHODS

We performed a single-center, retrospective cohort study comparing the outcomes with hypomethylating agent (HMA) plus lenalidomide to those with standard intensive induction therapies for newly diagnosed and relapsed/refractory AML with inv(3).

RESULTS

Of the 15 patients, 4 (26.7%) had received lenalidomide and HMA as primary therapy. The overall response rate (ORR) was 100% for the 4 patients who had received lenalidomide with HMA as first-line induction therapy. The ORR was 27.3% (3 of 11) for the patients who had received other induction regimens (P = .0256). The duration of response for first induction therapy was an average of 7.4 months after lenalidomide plus an HMA and a mean of 1.5 months after induction with other chemotherapy regimen (P = .057). The ORR for induction and reinduction therapy was also assessed, with an ORR of 21.4% (6 of 28) for alternative chemotherapy regimens and an ORR of 75% (6 of 8) for induction and reinduction with lenalidomide plus HMA (P = .0046).

CONCLUSIONS

The high ORR and reasonable duration of response could allow for potentially curative allogeneic hematopoietic cell transplantation for these patients with high-risk AML. Our initial data suggest that lenalidomide plus HMA is a promising approach for patients with AML with inv(3).

Chemotherapy and Beyond: Infections in the Era of Old and New Treatments for Hematologic Malignancies

Treatment options for hematologic malignancies have been rapidly expanding in the past decade, resulting in better survival outcomes for many patients. Infection is an important cause of morbidity and mortality in this patient population. Cytotoxic chemotherapy has well-studied infectious risks related to the degree and duration of myelosuppression. Targeted therapies and immunotherapies have less clearly predictable infectious risk and diverse effects on immune function. This review discusses contemporary management of hematologic malignancies, followed by special discussion of novel agents, including signaling/small molecule inhibitors, monoclonal antibodies, immunomodulators, and immunotherapies, for treatment of hematologic malignancies with focus on infectious risk.