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1. Broad-spectrum antibiotics should be ordered and administered within 60 minutes of patient arrival to the ED.
2. If possible, obtain blood cultures prior to starting antibiotics. However, the administration of antibiotics should not be delayed for the collection of blood cultures.
3. If a patient is known to have a history of multidrug resistant organisms, antibiotic choice will need to be adjusted according to history, if known, or consider consulting Infectious Disease for assistance.
4. Patients with neutropenic fever can deteriorate into sepsis rapidly and therefore, need to be monitored closely.
5. For patients with elevated lactic acid/lactate, it is important to repeat this lab value following a fluid bolus to monitor for clinical deterioration and the development of sepsis.
1. Superior vena cava (SVC) syndrome should be suspected in patients with shortness of breath and swelling of the head and neck. As symptoms progress, arm swelling may develop and in severe cases, distension of neck and chest veins.
2. Once suspected, immediately raise the head of the patient’s bed to decrease hydrostatic pressure. Monitor the patient’s airway for laryngeal edema – patients may require intubation if they have respiratory compromise.
3. Ultrasound can be used to assess for evidence of thrombus. However, CT chest with contrast or MRI is the preferred modality of imaging.
4. If thrombus is suspected, the patient should be started on anticoagulation, typically heparin.
5. In cases where SVC syndrome is caused by tumor infiltration/compression, endovascular stenting has become the most popular method of alleviating the obstruction. Patients may also require tumor debulking with radiation therapy and/or chemotherapy.
There is limited evidence regarding the use of acute interventions and outcomes in patients with hematological malignancies presenting with acute ischemic stroke (AIS). In this study, we aimed to evaluate the outcomes of AIS in patients with hematological malignancies.
Methods:
Hospitalizations with primary diagnosis of AIS were identified from the Nationwide Readmissions Database 2016–2018. Logistic regression was used to compare differences in acute stroke interventions and clinical outcomes. Survival analysis was used to evaluate recurrent AIS after discharge.
Results:
There were 1,347,150 hospitalizations due to AIS (mean ± SD age 70.3 ± 14.1 years, female 50.2%). Of these, 11,863 (0.9%) had a concurrent diagnosis of hematological malignancy. Patients with malignancy were less likely to receive intravenous thrombolysis (tPA) but not mechanical thrombectomy (MT). Among different hematological malignancies, patients with acute leukemia and Hodgkin lymphoma had a higher likelihood of in-hospital mortality, as compared to patients without malignancy. However, among patients treated with tPA or MT, clinical outcomes were comparable between the groups. Risk of readmission due to recurrent ischemic stroke was similar between patients with and without malignancy (hazards ratio: 1.0, 95% CI: 0.9–1.1).
Conclusions:
Patients with hematological malignancies are less likely to receive tPA but not MT; however, their use is not associated with increased harm. Patients with acute leukemias and Hodgkin lymphoma have an increased risk of in-hospital mortality, but the use of acute reperfusion therapies appears to attenuate this excess risk. Early risk of stroke recurrence is not different in patients with and without hematological malignancies.
Prognostic discussions are critical in the care of patients with advanced lymphoma, given the disease’s complexity, rapidly evolving treatments, and shifting potential for cure. However, previous research has paid limited attention to how these discussions unfold from both patient and clinician perspectives, particularly in the context of early conversations. The current study sought to identify key experiences that inform improvements in clinician communication and patient understanding of prognosis for patients with advanced lymphoma.
Methods
We conducted a qualitative study from July 2023 to June 2024 with 19 patients diagnosed with advanced lymphoma and 3 oncologists. Semi-structured interview transcripts were analyzed using thematic content analysis, and emergent themes were identified through consensus among a trained coding team.
Results
Two primary themes emerged. First, patients recalled early prognostic conversations as highly focused on curative intent. Second, oncologists cited incomplete diagnostic data and concerns about overwhelming patients as reasons for limiting early discussions, often delaying deeper prognostic conversations. Clinicians reported tension between maintaining patient hope and providing comprehensive information about disease trajectory and treatment uncertainty.
Significance of Results
Findings highlight a need for communication strategies that balance hope with realism in early prognostic discussions for patients with advanced lymphoma. Oncologists may benefit from structured, evidence-based guidance to manage information delivery over time, particularly in the face of diagnostic ambiguity. Future research should prioritize inclusive sampling and explore timing and content of ongoing prognostic discussions to better support informed decision-making and goal-concordant care.
Primary cutaneous lymphomas comprise a group of B- and T-cell lymphomas that do not have extracutaneous involvement at the time of diagnosis. They are the second most common group of extranodal lymphomas. Cutaneous B-cell lymphomas are generally classified into three main subgroups: cutaneous marginal zone B-cell lymphoma, cutaneous follicle center lymphoma, and cutaneous large B-cell lymphoma, leg type. Cutaneous T-cell and NK-cell lymphomas can derive from the helper T-cells (CD4+), cytotoxic T-cells (CD8+), gamma-delta T-cells (CD56+), or follicle helper T-cells (CD279/PD1). Immunohistochemistry plays an important role in the classification of B- and T-cell lymphoid lesions. A number of immunostains have recently become commercially available and can serve as diagnostic adjuncts in cases lacking characteristic immunohistochemical staining.
The rising cost of oncology care has motivated efforts to quantify the overall value of cancer innovation. This study aimed to apply the MACBETH approach to the development of a value assessment framework (VAF) for lymphoma therapies.
Methods
A multi-attribute value theory methodological process was adopted. Analogous MCDA steps developed by the International Society for Health Economics and Outcomes Research (ISPOR) were carried out and a diverse multi-stakeholder group was recruited to construct the framework. The criteria were identified through a systematic literature review and selected according to the importance score of each criterion given by stakeholders, related research and expert opinions. The MACBETH method was used to score the performance of alternatives by establishing value functions for each criterion and to assign weight to criteria.
Results
Nine criteria were included in the final framework and a reusable model was built: quality adjusted life years (QALYs), median progression-free survival, objective response rate, the incidence of serious adverse events (grade 3–4), rates of treatment discontinuation due to adverse events, annual direct medical costs, dosage and administration, the number of alternative medicines with the same indication and mechanism, mortality of the disease. The weights of each criterion in the order presented above are 17.43 percent, 16.11 percent, 14.39 percent,13.54 percent,11.83 percent,11.30 percent,7.08 percent,4.59 percent, and 3.73 percent.
Conclusions
A criterion-based valuation framework was constructed using multiple perspectives to provide a quantitative assessment tool in facilitating the delivery of affordable and valuable lymphoma treatment. Further research is needed to optimize its use as part of policy-making.
This chapter provides useful guidelines for the immunophenotypic identification of both indolent and aggressive B-cell lymphomas. An integrated diagnostics is necessary to provide the final classification, but flow cytometry allows for a quick orientation about the lymphoma subtype and may help in speeding targeted further assays and therapeutic decisions.
Second primary breast cancers are among the most common risks to female patients who have received radiotherapy for mediastinal lymphoma.
This study aims to audit breast dose in women who received mediastinal radiotherapy for lymphoma and compare the combined dose parameter values measured to those in the literature.
Methods:
Twenty-three patient datasets from 2017 to 2021 were obtained. Inclusion criteria, such as female gender and 30Gy prescription dose, were applied. Target volumes were delineated using involved site radiotherapy and planned on Eclipse (Varian, Palo Alto, CA) using either fixed field or VMAT. Breast contours were retrospectively outlined according to RTOG/EORTC guidance and descriptive statistics were used to compare findings to those from the literature.
Results:
Differences were found in V4gy, V5Gy and mean dose compared to the literature with mean dose being 2Gy in the literature and 4Gy in this audit.
Conclusions:
Breast dose parameter values between patients in this study vary due to multiple factors. These include the treatment delivery method used and the position of the treatment field in relation to the location of breast tissue. Mean dose and V4% and V5% to breast tissue found in this study differ from that found in the literature. This study highlights the importance of accurate contouring and optimising breast tissue when possible.
Edited by
Laurie J. Mckenzie, University of Texas MD Anderson Cancer Center, Houston,Denise R. Nebgen, University of Texas MD Anderson Cancer Center, Houston
The incidence of cancer during gestation has risen due to multiple factors such as advanced maternal age and improvement in cancer treatment, which has resulted in longer life span and a rising number of survivors who will then become pregnant. Whether a woman is diagnosed with cancer during pregnancy or becomes pregnant after surviving the disease, navigating treatment for both the mother and the fetus can seem daunting for patients as well as their care providers, as there is a higher risk of morbidity for these patients. This chapter aims to describe safe diagnostic and therapeutic options during pregnancy and includes special considerations regarding survivors’ treatment. Breast cancer, lymphoma, leukemia and cervical cancer are the focus of the chapter and obstetric management of patients with these malignancies is addressed, including antenatal care, delivery considerations and breastfeeding.
We undertook a rapid review of literature relating to the diagnosis of blood cancers, to find out what factors contribute to delays in diagnosis, including symptom recognition, appraisal and help-seeking behaviours.
Methods:
We used rapid review methodology following Tricco et al. to synthesise current literature from two electronic databases. We searched for studies about symptom appraisal help-seeking for all blood cancers published between 2001 and 2021, written in English.
Results:
Fifteen studies were included in the review, of which 10 were published in the United Kingdom. We found a number of factors associated with delays in blood cancer diagnosis. These included patient factors such as gender, age and ethnicity, as well as health system factors such as poor communication and seeing a locum clinician in primary care. A narrative synthesis of the evidence produced four types of symptom interpretation by patients: (1) symptoms compatible with normal state of health, (2) event-linked problems, (3) mild or chronic illness and (4) non-specific unwell state. These four interpretations were linked to different help-seeking behaviours. After seeking help, patients often experienced delays due to healthcare professionals’ (HCPs’) non-serious interpretation of symptoms, misleading blood tests, discontinuity of care and other barriers in the diagnostic pathway.
Conclusion:
Blood cancers are difficult to diagnose due to non-specific heterogeneous symptoms, and this is reflected in how those symptoms are interpreted by patients and managed by HCPs. It is important to understand how different interpretations affect delays in help-seeking, and what HCPs can do to support timely follow-up for patients.