Survival difference between secondary and de novo acute myeloid leukemia by age, antecedent cancer types, and chemotherapy receipt.

BACKGROUND: This study compared the survival of persons with secondary acute myeloid leukemia (sAML) to those with de novo AML (dnAML) by age at AML diagnosis, chemotherapy receipt, and cancer type preceding sAML diagnosis. METHODS: Data from Surveillance, Epidemiology, and End Results 17 Registries were used, which included 47,704 individuals diagnosed with AML between 2001 and 2018. Multivariable Cox proportional hazards regression was used to compare AML-specific survival between sAML and dnAML. Trends in 5-year age-standardized relative survival were examined via the Joinpoint survival model. RESULTS: Overall, individuals with sAML had an 8% higher risk of dying from AML (hazard ratio [HR], 1.08; 95% confidence interval [CI], 1.05-1.11) compared to those with dnAML. Disparities widened with younger age at diagnosis, particularly in those who received chemotherapy for AML (HR, 1.14; 95% CI, 1.10-1.19). In persons aged 20-64 years and who received chemotherapy, HRs were greatest for those with antecedent myelodysplastic syndrome (HR, 2.04; 95% CI, 1.83-2.28), ovarian cancer (HR, 1.91; 95% CI, 1.19-3.08), head and neck cancer (HR, 1.55; 95% CI, 1.02-2.36), leukemia (HR, 1.45; 95% CI, 1.12-1.89), and non-Hodgkin lymphoma (HR, 1.42; 95% CI, 1.20-1.69). Among those aged ≥65 years and who received chemotherapy, HRs were highest for those with antecedent cervical cancer (HR, 2.42; 95% CI, 1.15-5.10) and myelodysplastic syndrome (HR, 1.28; 95% CI, 1.19-1.38). The 5-year relative survival improved 0.3% per year for sAML slower than 0.86% per year for dnAML. Consequently, the survival gap widened from 7.2% (95% CI, 5.4%-9.0%) during the period 2001-2003 to 14.3% (95% CI, 12.8%-15.8%) during the period 2012-2014. CONCLUSIONS: Significant survival disparities exist between sAML and dnAML on the basis of age at diagnosis, chemotherapy receipt, and antecedent cancer, which highlights opportunities to improve outcomes among those diagnosed with sAML.

Development of a risk assessment model for cardiac injury in patients newly diagnosed with acute myeloid leukemia based on a multicenter, real-world analysis in China.

BACKGROUND: Studies have revealed that acute myeloid leukemia (AML) patients are prone to combined cardiac injury. We aimed to identify hematological risk factors associated with cardiac injury in newly diagnosed AML patients before chemotherapy and develop a personalized predictive model. METHODS: The population baseline, blood test, electrocardiogram, echocardiograph, and genetic and cytogenetic data were collected from newly diagnosed AML patients. The data were subdivided into training and validation cohorts. The independent risk factors were explored by univariate and multivariate logistic regression analysis respectively, and data dimension reduction and variable selection were performed using the least absolute shrinkage and selection operator (LASSO) regression models. The nomogram was generated and the reliability and generalizability were verified by receiver operating characteristic (ROC) curves, the area under the curve (AUC) and calibration curves in an external validation cohort. RESULTS: Finally, 499 AML patients were included. After univariate logistic regression, LASSO regression and multivariate logistic regression analysis, abnormal NT-proBNP, NPM1 mutation, WBC, and RBC were independent risk factors for cardiac injury in AML patients (all P < 0.05). The nomogram was constructed based on the above four variables with high accuracy. The area under the curve was 0.742, 0.750, and 0.706 in the training, internal validation, and external validation cohort, respectively. The calibration curve indicated that the model has good testing capability. The Kaplan-Meier curve showed that the higher the risk of combined cardiac injury in AML patients, the lower their probability of survival. CONCLUSIONS: This prediction nomogram identifies hematological risk factors associated with cardiac injury in newly diagnosed AML patients and can help hematologists identify the risk and provide precise treatment options.

Treatment outcomes of pediatrics acute myeloid leukemia (AML) and associated factors in the country's tertiary referral hospital, Ethiopia.

BACKGROUND: Pediatric Acute Myeloid Leukemia (AML) is a major cause of morbidity and mortality in children with cancer in Africa and other developing continents. Systemic chemotherapy and effective supportive care have significantly contributed to increased survival rates of pediatric AML in developed countries reaching approximately 70%. There is a paucity of contextual data regarding overall and event-free survival outcomes in children with acute myeloid leukemia in developing countries and most centers in Africa provide palliative care. The objective of this study was to assess the overall survival, event-free survival, and associated factors in pediatric AML patients treated in Ethiopia. METHODS: This retrospective study was conducted on Pediatric AML patients treated at Tikur Anbessa Hospital between January 1, 2015, and May 30, 2022. The socio-demographic profile of patients, the clinical characteristics, the biochemical and morphological subtypes of AML were analyzed using SPSS version 25. The Kaplan-Meier survival curve was used to estimate the probabilities of overall and event-free survival. Statistical significance was set at p < 0.05. RESULTS: A total of 92 children with AML were included in this study. The median age at diagnosis was 7 years (interquartile range: 5-10 years) with a slight male predominance. The median duration of symptoms was one month. Neutropenic fever (56, 86.2%) was the most common complication during treatment. About 29.3% of the patients succumbed to early death. The corresponding 1-year and 3-year OS probabilities were 28.2% and 23% respectively. The median event-free survival time for all pediatric AML patients was one-month (95% CI: 0.77-1.23). The determinants of poorer survival outcomes were FAB subtype, type of protocol used, and signs of CNS involvement (p < 0.05). CONCLUSION: The survival rates of children from AML were low in the study setting. More than 25% of AML patients succumbed to early death, and febrile neutropenia was the most common complication. Effective supportive and therapeutic measures should be taken to manage febrile neutropenia and to prevent early death in AML patients.

Interventional probability of causation (IPoC) with epidemiological and partial mechanistic evidence: benzene vs. formaldehyde and acute myeloid leukemia (AML).

INTRODUCTION: Causal epidemiology for regulatory risk analysis seeks to evaluate how removing or reducing exposures would change disease occurrence rates. We define interventional probability of causation (IPoC) as the change in probability of a disease (or other harm) occurring over a lifetime or other specified time interval that would be caused by a specified change in exposure, as predicted by a fully specified causal model. We define the closely related concept of causal assigned share (CAS) as the predicted fraction of disease risk that would be removed or prevented by a specified reduction in exposure, holding other variables fixed. Traditional approaches used to evaluate the preventable risk implications of epidemiological associations, including population attributable fraction (PAF) and the Bradford Hill considerations, cannot reveal whether removing a risk factor would reduce disease incidence. We argue that modern formal causal models coupled with causal artificial intelligence (CAI) and realistically partial and imperfect knowledge of underlying disease mechanisms, show great promise for determining and quantifying IPoC and CAS for exposures and diseases of practical interest. METHODS: We briefly review key CAI concepts and terms and then apply them to define IPoC and CAS. We present steps to quantify IPoC using a fully specified causal Bayesian network (BN) model. Useful bounds for quantitative IPoC and CAS calculations are derived for a two-stage clonal expansion (TSCE) model for carcinogenesis and illustrated by applying them to benzene and formaldehyde based on available epidemiological and partial mechanistic evidence. RESULTS: Causal BN models for benzene and risk of acute myeloid leukemia (AML) incorporating mechanistic, toxicological and epidemiological findings show that prolonged high-intensity exposure to benzene can increase risk of AML (IPoC of up to 7e-5, CAS of up to 54%). By contrast, no causal pathway leading from formaldehyde exposure to increased risk of AML was identified, consistent with much previous mechanistic, toxicological and epidemiological evidence; therefore, the IPoC and CAS for formaldehyde-induced AML are likely to be zero. CONCLUSION: We conclude that the IPoC approach can differentiate between likely and unlikely causal factors and can provide useful upper bounds for IPoC and CAS for some exposures and diseases of practical importance. For causal factors, IPoC can help to estimate the quantitative impacts on health risks of reducing exposures, even in situations where mechanistic evidence is realistically incomplete and individual-level exposure-response parameters are uncertain. This illustrates the strength that can be gained for causal inference by using causal models to generate testable hypotheses and then obtaining toxicological data to test the hypotheses implied by the models-and, where necessary, refine the models. This virtuous cycle provides additional insight into causal determinations that may not be available from weight-of-evidence considerations alone.

Targetable genetic abnormalities in patients with acute myeloblastic leukemia across age groups.

Incidence of potential targetable genetic abnormalities by age in AML.

Uptake of novel therapies into first-line treatment for acute myeloid leukemia patients: EU4 + UK perspective.

Aim: To explore the incorporation of novel agents in the first-line setting for acute myeloid leukemia patients. Materials & methods: Observational study based on data from a multi-country cross-sectional retrospective web-based survey sent to 518 physicians in Europe between 2020 and 2021. Information from 2040 patients was analyzed. Results: 604 patients (29.6%) received novel agents in both intensive and non-intensive setting. Comorbidities were not a barrier for the use of novel agents. The presence of tumor mutations was observed to be an important element for treatment decision. Conclusion: There is a progressive incorporation of novel agents for newly diagnosed acute myeloid leukemia patients.

What is this article about? We now have new treatments for patients suffering from a type of blood cancer called acute myeloid leukemia (acronym AML). They are available as the first choice of therapy. In this study we explored how these new treatments are included in daily patient care. What were the results? We reviewed the data of 2040 patients in Europe, obtained from an online survey sent to physicians in two waves (between 2020 and 2021). The use of these new AML treatments was more frequent in patients who presented some specific gene alterations (changes in their DNA sequence) and were in worse health due to other diseases and old age. Most of the new treatments were administered together with other milder chemotherapies. What do the results of the study mean? The results of this study help us understand how new AML treatments are being used.

Prediction of acute myeloid leukaemia risk in healthy individuals.

The incidence of acute myeloid leukaemia (AML) increases with age and mortality exceeds 90% when diagnosed after age 65. Most cases arise without any detectable early symptoms and patients usually present with the acute complications of bone marrow failure1. The onset of such de novo AML cases is typically preceded by the accumulation of somatic mutations in preleukaemic haematopoietic stem and progenitor cells (HSPCs) that undergo clonal expansion2,3. However, recurrent AML mutations also accumulate in HSPCs during ageing of healthy individuals who do not develop AML, a phenomenon referred to as age-related clonal haematopoiesis (ARCH)4-8. Here we use deep sequencing to analyse genes that are recurrently mutated in AML to distinguish between individuals who have a high risk of developing AML and those with benign ARCH. We analysed peripheral blood cells from 95 individuals that were obtained on average 6.3 years before AML diagnosis (pre-AML group), together with 414 unselected age- and gender-matched individuals (control group). Pre-AML cases were distinct from controls and had more mutations per sample, higher variant allele frequencies, indicating greater clonal expansion, and showed enrichment of mutations in specific genes. Genetic parameters were used to derive a model that accurately predicted AML-free survival; this model was validated in an independent cohort of 29 pre-AML cases and 262 controls. Because AML is rare, we also developed an AML predictive model using a large electronic health record database that identified individuals at greater risk. Collectively our findings provide proof-of-concept that it is possible to discriminate ARCH from pre-AML many years before malignant transformation. This could in future enable earlier detection and monitoring, and may help to inform intervention.

Exposure to persistent organic pollutants in newborn dried blood spots and childhood acute myeloid leukemia.

Acute myeloid leukemia (AML) is a rare malignancy representing 15-20% of all leukemia diagnoses among children. Maternal exposure to persistent organic pollutants is suggestive of increased risk for childhood AML based on existing evidence. We aimed to evaluate the relationship between persistent organic pollutants and childhood AML using newborn dried bloodspots (DBS) from the Michigan BioTrust for Health. We obtained data on AML cases diagnosed prior to 15 years of age (n = 130) and controls (n = 130) matched to cases on week of birth from the Michigan Department of Health and Human Services. We quantified levels of dichlorodiphenyldichloroethylene (p,p'-DDE), hexachlorobenzene (HCB), and polybrominated diphenyl ether congener 47 (BDE-47) in newborn DBS. We also evaluated other organochlorine pesticides, polychlorinated biphenyls, polybrominated biphenyl congener 153, and polybrominated diphenyl ethers, though these were not further evaluated as >60% of observations were above the limit of detection for these chemicals. To evaluate the association between each chemical and AML, we used multivariable conditional logistic regression. In our multivariable model of HCB adjusted for month of birth, maternal age at delivery, and area poverty, we observed no association with AML (Odds Ratio [OR] per interquartile range increase: 1.17, 95% CI: 0.80, 1.69). For p,p'-DDE, ORs were significantly lower for those exposed to the highest tertile of p,'p-DDE (≥0.29 pg/mL, OR: 0.32, 95% CI: 0.11, 0.95) compared to the first tertile (<0.09 pg/mL). We observed no statistically significant associations between HCB and BDE-47 and AML. We observed a reduced odds of exposure to p,'p-DDE and an increased, though imprecise, odds of exposure to HCB among AML cases compared to controls. Future studies would benefit from a larger sample of AML patients and pooling newborn DBS across multiple states to allow for additional variability in exposures and evaluation of AML subtypes, which may have differing etiology.

Cardiovascular morbidity following conventional therapy versus allogeneic hematopoietic stem cell transplantation after childhood, adolescent, and young adult leukemia in Finland.

Allogeneic hematopoietic stem cell transplantation (aHSCT) represents a therapeutic choice for high-risk and relapsed leukemia at a young age. In this retrospective population-based study, we evaluated cardiovascular complications after aHSCT (N = 272) vs conventional therapy (N = 1098) among patients diagnosed with acute lymphoblastic or acute myeloid leukemia below 35 years between 1985 and 2004. Additionally, siblings from a prior comparison group served as population controls (N = 39 217). Childhood leukemia and aHSCT was associated with a 16-fold HR for developing arterial hypertension (HR 16.8, 95%CI 1.5-185.5) compared with conventional therapy. A 2-fold HR for any cardiovascular complication was observed after AYA leukemia and aHSCT vs conventional treatment (HR 2.7, 95% CI 1.4-5.1). After AYA leukemia and aHSCT, the HR of cardiac arrhythmia was significantly elevated vs conventional therapy (HR 14.4, 95% CI 1.5-125.2). Moreover, after aHSCT in childhood, elevated hazard ratios (HRs) were found for cardiomyopathy/ cardiac insufficiency (HR 105.0, 95% CI 10.0-1100.0), cardiac arrhythmia, and arterial hypertension (HR 20.1, 95%CI 2.5-159.7 and HR 20.0, 95%CI 4.1-97.4) compared with healthy controls. After adolescent and young adult (AYA) leukemia and aHSCT, markedly increased HRs were observed for cardiac arrhythmia (HR 29.2, 95%CI 6.6-129.2), brain vascular thrombosis/ atherosclerosis and cardiomyopathy/cardiac insufficiency (HR 23.4, 95%CI 7.1-77.4 and HR 19.2, 95%CI 1.5-245.2) compared with healthy controls. As the cumulative incidence for cardiovascular complications rose during the follow-up of childhood and AYA leukemia patients, long-term cardiovascular surveillance is warranted to optimize the quality of life after childhood and AYA leukemia following both conventional treatment and aHSCT.

Down syndrome and leukemia: from basic mechanisms to clinical advances.

Children with Down syndrome (DS, trisomy 21) are at a significantly higher risk of developing acute leukemia compared to the overall population. Many studies investigating the link between trisomy 21 and leukemia initiation and progression have been conducted over the last two decades. Despite improved treatment regimens and significant progress in iden - tifying genes on chromosome 21 and the mechanisms by which they drive leukemogenesis, there is still much that is unknown. A focused group of scientists and clinicians with expertise in leukemia and DS met in October 2022 at the Jérôme Lejeune Foundation in Paris, France for the 1st International Symposium on Down Syndrome and Leukemia. This meeting was held to discuss the most recent advances in treatment regimens and the biology underlying the initiation, progression, and relapse of acute lymphoblastic leukemia and acute myeloid leukemia in children with DS. This review provides a summary of what is known in the field, challenges in the management of DS patients with leukemia, and key questions in the field.

Characterization of therapy-related acute myeloid leukemia: increasing incidence and prognostic implications.

Studies of therapy-related AML (t-AML) are usually performed in selected cohorts and reliable incidence rates are lacking. In this study, we characterized, defined the incidence over time and studied prognostic implications in all t-AML patients diagnosed in Sweden between 1997 and 2015. Data were retrieved from nationwide population-based registries. In total, 6,779 AML patients were included in the study, of whom 686 (10%) had t-AML. The median age for t-AML was 71 years and 392 (57%) patients were females. During the study period, the incidence of t-AML almost doubled with a yearly increase in t-AML of 4.5% (95% confidence interval: 2.8%-6.2%), which contributed significantly to the general increase in AML incidence over the study period. t-AML solidly constituted over 10% of all AML cases during the later period of the study. Primary diagnoses with the largest increase in incidence and decrease in mortality rate during the study period (i.e., breast and prostate cancer) contributed significantly to the increased incidence of t-AML. In multivariable analysis, t-AML was associated with poorer outcome in cytogenetically intermediate- and adverse-risk cases but t-AML had no significant impact on outcome in favorable-risk AML, including core binding leukemias, acute promyelocytic leukemia and AML with mutated NPM1 without FLT3-ITD. We conclude that there is a strong increase in incidence in t-AML over time and that t-AML constitutes a successively larger proportion of the AML cases. Furthermore, we conclude that t-AML confers a poor prognosis in cytogenetically intermediate- and adverse-risk, but not in favorable-risk AML.

Outcome of patients with newly diagnosed AML admitted to the ICU, including preemptive admission - a multi-center study.

Acute myeloid leukemia (AML) can lead to life-threatening complications that may require intensive care unit (ICU) management. It has been advocated that early preemptive (ePE) ICU admission, before the onset of organ failure, could benefit some high-risk patients such as those with hyperleukocytosis. The aim of this study was to retrospectively analyze the outcome of newly diagnosed AML patients who required ICU admission in five academic centers with a special focus on patients with an ePE admission strategy, i.e., those transferred to the ICU without any organ failure (modified SOFA score ≤ 2 [omitting thrombocytopenia] and no life-sustaining intervention in the first 24 h following ICU admission) before the start of induction therapy. Between January 2017 and December 2019, 428 patients were included among which 101 were admitted to the ICU. Among patients requiring life-sustaining interventions (n = 83), 18 (22%) died while in the ICU but ICU survivors had the same survival as those not admitted to the ICU. Patients with an ePE admission (n = 18) had more comorbidities and high-risk disease features such as hyperleukocytosis but required no life-sustaining interventions while in the ICU. In a subgroup analysis of patients with hyperleukocytosis ≥ 50 G/l at diagnosis (n = 85), patients not admitted to the ICU and those admitted with an ePE strategy had similar outcomes. This study provides encouraging results about ICU outcome in AML patients during induction therapy but the potential benefit of an ePE strategy must be confirmed prospectively.

Impact of extramedullary disease in AML patients undergoing sequential RIC for HLA-matched transplantation: occurrence, risk factors, relapse patterns, and outcome.

We sought to evaluate the role of extramedullary disease (EMD) in sequential RIC retrospectively analyzing data of 144 high-risk AML patients undergoing HLA-matched transplantation. Median long-term follow-up was 11.6 years. Eighteen percent of patients (n = 26/144) presented with extramedullary AML (EM AML) or a history of EMD at time of transplantation. Overall relapse rate was 25% (n = 36/144) with 15% (n = 21/144) of all patients developing isolated BM relapse and 10% (n = 15/144) developing EM AML relapse with or without concomitant BM relapse (EM ± BM). Manifestation of EM relapse after transplantation occurred frequently at multiple sites and presented mostly as solid tumor mass. Only 3/15 patients with EM ± BM relapse showed a prior EMD manifestation. EMD prior to allogeneic transplantation had no impact on post-transplant OS when compared to non-EMD (median post-transplant OS 3.8 years versus 4.8 years; ns). Risk factors (p = < 0.1) for EM ± BM relapse included younger age and a higher number of prior intensive chemotherapies, whereas the presence of chronic GVHD was a protective factor. Median post-transplant OS (15.5 months vs. 15.5 months), RFS (9.6 months vs 7.3 months), and post-relapse OS (6.7 months vs. 6.3 months) were not significantly different between patients with isolated BM vs. EM ± BM relapse. Taken together, occurrence of EMD prior to as well as of EM ± BM AML relapse after transplantation was moderate, presenting mostly as solid tumor mass after transplantation. However, diagnosis of those does not seem to influence outcomes after sequential RIC. A higher number of chemotherapy cycles prior to transplantation was identified as recent risk factor for EM ± BM relapse.

Incidence and Bayesian Mapping of Myeloid Hematologic Malignancies in Sardinia, Italy.

BACKGROUND: The epidemiology of myeloid hematologic malignancies in Italy has been poorly investigated. METHODS: We used a validated database of 1974-2003 incident cases of hematologic malignancies among the resident population (all ages) of Sardinia, Italy, to describe the incidence of myeloid malignancies overall (N = 4389 cases) and by subtype. We investigated the time trend of acute myeloid leukemia (N = 1227 cases), chronic myeloid leukemia (N = 613 cases), and myelodysplastic syndrome (N = 1296 cases), and used Bayesian methods to explore their geographic spread, and Poisson regression analysis to estimate their association with environmental and socio-economic factors. RESULTS: The annual standardized (world population) incidence rate (IR) of myeloid malignancies over the study period was 6.5 per 100,000 (95% CI 6.2-6.7). Myelodysplastic syndromes were the most prevalent subgroup (IR = 1.7, 95% CI 1.5-1.8). Incidence of all myeloid malignancies combined increased sharply during the study period with an annual percent change (APC) of 10.06% (95% CI 9.51-10.61), 19.77% for myelodysplastic syndromes (95% CI 19.63-19.91), and 3.18% (95% CI 2.99-3.37) for acute myeloid leukemia. Chronic myeloid leukemia did not show an upward trend. Apart from sporadic excesses in small rural communities and the major urban area, there was no evidence of spatial clustering. The risk of myeloid malignancies increased with increasing prevalence of sheep breeding. CONCLUSIONS: Our results might prompt further research on the local genetic and environmental determinants of myeloid hematologic malignancies.

A Co-Management Model for Myeloid Malignancies That Evolved during the COVID-19 Pandemic.

INTRODUCTION: Myeloid malignancies are a heterogeneous group of clonal bone marrow disorders that are complex to manage in the community and therefore often referred to subspecialists at tertiary oncology referral centers. Many patients do not live in close proximity to tertiary referral centers and are unable to commute long distances due to age, comorbidities, and frailty. Interventions that minimize the travel time burden without compromising quality of care are an area of unmet need. We describe a cancer care delivery model for patients with myeloid malignancies that is built around telehealth and enables this vulnerable population access to care at an NCI-designated cancer center while receiving majority of their care close to home. METHODS AND MATERIALS: We report on a cohort of patients with myeloid malignancies who were co-managed by a general community oncologist and an academic leukemia subspecialist at Montefiore Einstein Cancer Center in New York. Patients were initially referred to our institute for a second opinion by community practices that are in partnership with Montefiore Health System, and initial visits were in-person or via telehealth. Treatment plans were made after discussion with patient's local community oncologist. Patients then continued to receive majority of their treatment and supportive care including transfusion support with their local oncologist, and follow-up visits were mainly via telehealth with the academic leukemia subspecialist. RESULTS: Our cohort of 12 patients had a median age of 81 years (range, 59-88 years). Patients remained on active treatment for a median time of 357 days (range, 154-557 days). Most of our patients had a performance status of ECOG 2 or higher. Three patients had myelodysplastic syndromes, 7 patients had acute myeloid leukemia, and 2 patients had myelofibrosis. The median number of hospitalizations over the total treatment time period was one. CONCLUSION: We demonstrate a shared academic and community care co-management model for the treatment of myeloid malignancies in elderly, frail patients using telehealth as a backbone with a very low hospitalization rate.

Characteristics and outcomes of elderly patients with acute myeloid leukemia who receive no treatment in the Surveillance, Epidemiology and End Results-Medicare database.

Background: Without treatment, acute myeloid leukemia (AML) is rapidly fatal. Nevertheless, a large proportion of elderly AML patients do not receive any treatment. Aim: To characterize the demographics, comorbidities, survival and prognostic factors of elderly AML patients who do not receive any AML treatment or supportive care (SC). Methods: A retrospective cohort analysis of the Surveillance, Epidemiology and End Results-Medicare database (2008-2015). Results: Of 7665 AML patients, 2373 (31%) did not receive any AML treatment or SC. The mean age was 80.4 years, 52.8% were males and 79.7% and 95.3% died within the first 60 and 180 days, respectively; 2.1% survived >12 months and only 5.5% of patients had remission or relapse codes populated. Conclusion: Older age, male gender, concurrent depression, ischemic heart disease, chronic kidney disease and benign prostatic hyperplasia were associated with a decreased likelihood of survival. Multiple factors contribute to the complex clinical status of these patients preventing intensive chemotherapy; they should still ideally be treated, at least with the best SC.

An analysis of the data collected in the Surveillance, Epidemiology and End Results-Medicare database from 2008 to 2015 was performed. This database includes data collected by a national cancer registry on people diagnosed with cancer in the United States and those who enroll in Medicare. This study focused on acute myeloid leukemia (AML) patients who did not receive any AML treatment or supportive care (SC). Of 7665 patients with AML, 2373 (31%) did not receive any AML treatment or SC. At the time the data was indexed for each patient in the database, their mean age was 80.4 years and around 53% were males. Within the first 60 days, around 80% of these patients died; over 95% died within the first 180 days. Only 2% of patients survived more than a year without treatment; these patients were likely in remission. Without treatment, AML patients who were older, were male or who also had depression, ischemic heart disease, chronic kidney disease or benign prostatic hyperplasia had a higher chance of dying early. There could be many reasons why these patients are not treated. The main reasons are their poor health condition and the presence of two or more health conditions in a patient at the same time (comorbidities). However, they should still ideally be treated, at least with the best SC. Additional treatment options are urgently needed for elderly AML patients who have comorbidities and are in poor general health.

Elderly patients with acute myeloid leukemia who only receive supportive care in the Surveillance, Epidemiology and End Results-Medicare database: demographics, treatment patterns and outcomes.

Aim: Elderly acute myeloid leukemia (AML) patients are often not treated with antileukemic therapy due to their poor overall health condition, leaving supportive care as the sole treatment option. Objective: To evaluate patient characteristics, treatment patterns and outcomes of elderly patients with AML who are treated with supportive care only. Methods: A retrospective analysis of elderly AML patients included in the Surveillance, Epidemiology and End Results-Medicare database from 2008 to 2015. Results: Of elderly patients with AML (n = 7665), 3209 (41.9%) received supportive care only. Their mean age was 79 years, 50.5% were males; 48.2% died during the first 3 months and 67.3% died during the first 6 months. 82.2% died within the first year; only 13.2% survived >12 months. 77.9% patients died due to leukemia. Conclusion: In elderly AML patients treated with supportive care only, older age, concurrent hypertension, chronic obstructive pulmonary disease, chronic kidney disease and acute myocardial infarction were identified as prognostic factors associated with decreased likelihood of survival. Ideally, these patients should be treated with antileukemic therapy in addition to supportive care, as most of them die from disease progression.

This study analyzed data on elderly patients with acute myeloid leukemia (AML) who were only treated with supportive care. The source of this data was the Surveillance, Epidemiology and End Results (SEER)-Medicare database. Of the 7665 patients diagnosed with AML during 2008­2015, 3209 (41.9%) received supportive care only. Their mean age at index date was 79 years; slightly more than half of these were males (50.5%). Almost half of these patients (48.2%) died within the first 3 months and approximately two-thirds (67.3%) died within the first 6 months. Only a small proportion (13%) of these patients were alive after 1 year. These patients who were alive after one were likely to be in remission (there was decrease in the signs and symptoms of AML). The results of this study showed that elderly AML patients who only received supportive care were more likely to die early if they also had chronic kidney disease, chronic obstructive pulmonary disease, history of acute myocardial infarction or hypertension. As elderly AML patients may be in poor general health and have other diseases (comorbidities), this could be the reason why they may not be treated with antileukemic therapy. Instead of treatment with supportive care only, these patients should ideally receive antileukemic therapy in addition to supportive care. More research should be done to find alternate treatments for these elderly AML patients.

Exploring core symptoms and interrelationships among symptoms in children with acute leukemia during chemotherapy: A network analysis.

PURPOSE: Children with acute leukemia have suffered from a considerable symptom burden during chemotherapy. However, few studies have focused on exploring the mechanisms among symptoms in children with acute leukemia. Our study aims to explore core symptoms and describe the interrelationships among symptoms in children with acute leukemia during chemotherapy. METHODS: From January 2021 to March 2023, 469 children with acute leukemia were recruited from 20 Chinese cities. The Memorial Symptom Assessment Scale 10-18 (MSAS 10-18) was used to evaluate the prevalence and severity of symptoms during chemotherapy. A network analysis was performed by the R software based on 31 symptoms. Centrality indices and density were used to explore core symptoms and describe interrelationships among symptoms in the network during chemotherapy. RESULTS: Worrying and feeling irritable were the central symptoms across the three centrality indices, including strength, closeness, and betweenness. Lack of energy was the most prevalent symptom; however, it was less central than other symptoms. The density of the "induction and remission" network significantly differed from other cycles' counterparts (p < 0.001). Global strength was greater in the " ≥ 8 years group " network than the " < 8 years group " network (p = 0.023). CONCLUSION: Network analysis provides a novel approach to identifying the core symptoms and understanding the interrelationships among symptoms. Our study indicates the need to assess emotional symptoms in children with acute leukemia during chemotherapy, especially during the induction and remission phases, as well as in older children. Future research is imperative to construct trajectories of dynamic symptom networks and centrality indices in longitudinal data to investigate the causal relationships among symptoms.

Leukemia/lymphoma oral infiltration and its impact on disease outcomes: A Brazilian study.

OBJECTIVE: Oral malignant infiltrations (OMI) are relevant for the diagnosis and prognosis of leukemia/lymphoma. This study analysed the oral health status and OMI of individuals with leukemia/lymphoma. MATERIALS AND METHODS: A retrospective analysis (2010-2021) of data from individuals seen at a specialized hospital-based dental service in Brazil. RESULTS: A total of 781 cases of leukemia/lymphoma were surveyed. Acute lymphoblastic leukemia (30.1%), acute myeloid leukemia (AML; 26.0%), and non-Hodgkin lymphoma (22.2%) were the most common diagnoses. The first (21.3%) and second (19.3%) decades of life were the most affected. Overall, dental caries (36.7%) and periodontal changes (34.6%) were the most frequent oral conditions. OMI occurred in 25 (3.2%) individuals. Lesions mainly involved the gingiva (80%) and patients diagnosed with AML (64%). Death (p < 0.001) and worse periodontal condition (p = 0.036) were more frequent among adults with OMI than among those without OMI. Death (p = 0.002) was more frequent among paediatric individuals with OMI than among those without OMI. When controlling for underlying disease, no association was observed between OMI and these outcomes. CONCLUSION: Oral status of individuals with leukemia, particularly those with acute leukemia or lymphoma, should be closely monitored since one or multiple conditions may occur, including OMI, which may influence disease outcomes.

Epidemiology and survival outcomes of acute myeloid leukemia patients in Taiwan: A national population-based analysis from 2001 to 2015.

OBJECTIVES/BACKGROUND: Acute myeloid leukemia (AML) is the most common acute leukemia in adults, with high mortality. To date, there is no comprehensive population-based analysis of patients with AML in Asia, including Taiwan. MATERIAL AND METHODS: This is a retrospective cohort study using three population-based databases, namely, the Taiwan Cancer Registry, Taiwanese National Health Insurance Research Database, and Taiwan Death Registry, between 2001 and 2015 to provide detailed information on patients with AML and relevant clinical variables, such as sex, age, year of diagnosis, socioeconomic status (SES) level, hospital level, treatment location, and Deyo-Charlson Comorbidity Index (Deyo-CCI) score. RESULTS: Patients with newly diagnosed AML (n = 9949) were included in the study. The median age was 60 years, and the overall age-adjusted AML incidence over 15 years was 2.44 per 100,000 person-years. The median overall survival (OS) of patients younger than 65 years was 18 months, whereas the OS of patients older than age 65 was only 5 months. AML patients with a prior cancer history had the worst outcomes, and the acute promyelocytic leukemia subtype predicted better survival. Patients who were older, male and a higher Deyo-CCI score had a significantly higher risk of death. In contrast, patients with a higher SES level and receiving treatment in a medical center had a lower risk of mortality than their respective counterparts. CONCLUSION: Our study results could enable clinicians to obtain a comprehensive picture of the epidemiology, survival outcomes and unmet medical needs of AML patients in Taiwan.