Integrating electronic geriatric assessment and frailty screening for adults with acute myeloid leukemia to drive personalized treatment decisions.

PURPOSE: Evidenced based guidelines for patients with Acute Myeloid Leukemia (AML) acknowledge increasing importance of frailty assessment when deciding on treatment, yet comprehensive geriatric assessment (GA) results are not easily incorporated into clinic workflows and the electronic health record. This study assessed the feasibility of electronic GA use in a real-world environment. METHODS: Patients with AML, ≥ 60 years and at a treatment decision-making point were recruited at three academic institutions. An electronic GA (eGA) was completed by patients prior to starting treatment. Results were immediately available on a dashboard. Data on feasibility, useability and acceptability of the intervention were collected immediately after the clinical visit. Patients completed follow up surveys at 3 months and chart reviews were done to capture treatment and toxicities. RESULTS: 77 patients were enrolled with a median age of 71 years (range=61-88). The eGA results were 25 fit (31.0 %), 22 (32.0 %) intermediate, and 23 (31.0 %) frail. There was 62.7 % (n = 47) provider concordance with the eGA result and 27 (36.0 %) post visit reports indicated that the eGA results influenced the treatment decision. On average, patients completed the surveys unassisted in 16.24 min and providers reviewed the dashboard in 3.5 min. CONCLUSION: Patients easily completed an eGA prior to starting treatment. Results were reviewed by the physician and considered in the decision for optimal treatment. One third of physician reports indicated the results were used to inform the treatment decision. Feasibility of completing the eGA in the clinic without workflow disruption and utility of the results was demonstrated.

Goals, preferences, and concerns of patients with acute myeloid leukemia at time of treatment decision.

INTRODUCTION: Current cancer value-based models require documentation of patient goals of care and an evidence-based treatment course commensurate with patient goals. This feasibility study assessed the utility of an electronic tablet-based questionnaire to elicit patient goals, preferences, and concerns at a treatment decision making time point in patients with acute myeloid leukemia. MATERIALS AND METHODS: Seventy-seven patients were recruited from three institutions prior to seeing the physician for treatment decision-making visit. Questionnaires included demographics, patient beliefs, and decision-making preferences. Analyses included standard descriptive statistics appropriate for the level of measurement. RESULTS: Median age was 71 (range = 61-88), 64.9% female, 87.0% white, and 48.6% college educated. On average, patients completed the surveys unassisted in 16.24 min and providers reviewed the dashboard in 3.5 min. All but one patient completed the survey prior to starting treatment (98.7%). Providers reviewed the survey results prior to seeing the patient 97.4% of the time. When asked their goals of care, 57 (74.0%) patients agreed with the statement "my cancer is curable" and 75 (97.4%) agreed that the treatment goal was to get rid of all cancer. Seventy-seven (100%) agreed the goal of care is to feel better and 76 (98.7%) agreed the goal of care is live longer. Forty-one (53.9%) indicated they wanted to make treatment decisions together with the provider. The top two concerns were understanding treatment options (n = 24; 31.2%) and making the right decision (n = 22; 28.6%). DISCUSSION: This pilot demonstrated the feasibility of using technology for decision-making at the point of care. Eliciting patient goals of care, treatment outcomes expectations, decision-making preferences, and top concerns may provide clinicians with information to inform the treatment discussion. A simple electronic tool may provide valuable insight into patient understanding of disease to better tailor patient-provider discussion and treatment decision-making.

Genomic alterations in neuroendocrine cancers of the ovary.

BACKGROUND: As we have previously reported, small cell carcinoma of the ovary (SCCO) is a rare, aggressive form of ovarian cancer associated with poor outcomes. In an effort to identify new treatment options, we utilized comprehensive genomic profiling to assess the potential for novel therapies in SCCO. METHODS: Patients with SCCO, SCCO-HT (hypercalcemic type), neuroendocrine tumors of the ovary (NET-O), and small cell carcinoma of the lung (SCLC) profiled by Caris Life Sciences between 2007-2015 were identified. Tumors were assessed with up to 21 IHC stains, in situ hybridization of cMET, EGFR, HER2 and PIK3CA, and next-generation sequencing (NGS) as well as Sanger sequencing of selected genes. RESULTS: Forty-six patients with SCCO (10 SCCO, 18 SCCO-HT, 18 NET-O) were identified as well as 58 patients with SCLC for comparison. Patients with SCCO and SCCO-HT were younger (median 42 years [range 12-75] and 26 years [range 8-40], respectively) than patients with NET-O 62 [range 13-76] or SCLC 66 [range 36-86]. SCCO patients were more likely to be metastatic (70 %) than SCCO-HT (50 %) or NET-O (33 %) patients, but at a similar rate to SCLC patients (65 %). PD1 expression varied across tumor type with SCCO (100 %), SCCO-HT (60 %), NET-O (33 %) vs SCLC (42 %). PDL1 expression also varied with SCCO (50 %), SCCO-HT (20 %), NET-O (33 %) and SCLC (0 %). No amplifications were identified in cMET, EGFR, or HER2 and only 1 was found in PIK3CA (NET-O). Actionable mutations were rare with 1 patient with SCCO having a BRCA2 mutation and 1 patient with NET-O having a PIK3CA mutation. No other actionable mutations were identified. CONCLUSIONS: No recurrent actionable mutations or rearrangements were identified using this platform in SCCO. IHC patterns may help guide the use of chemotherapy in these rare tumors.

Role of genetic counselling in prenatal diagnosis of ß-thalassaemia in Pakistan.

OBJECTIVE: To compare the response towards prenatal diagnosis (PND) of b-thalassaemia, in individuals who had not received genetic counselling and a genetically counselled population. STUDY DESIGN: Cross-sectional survey. PLACE AND DURATION OF STUDY: Department of Haematology, Armed Forces Institute of Pathology (AFIP), Rawalpindi, from March 2009 to December 2010. METHODOLOGY: Using non-probability consecutive sampling, a total of 176 individuals having thalassaemic children, were interviewed regarding PND of thalassaemia, by using a structured questionnaire. Forty two individuals were taken as controls as they had received genetic counselling for PND, whereas the remaining 134 were taken as cases. Responses towards PND were compared using chi-square test. Odds ratio was also calculated for subsequent PND utilization. RESULTS: Seventy (52.2%) cases and 42 (100%) controls were aware of the availability of PND in Pakistan. This difference in awareness was statistically significant (p < 0.001). In the controls, 40 (95.3%) individuals were aware of the appropriate timing of the test, in contrast to 52 (39%) cases (p < 0.001). PND was used in subsequent pregnancies by 50 (37.3%) cases and 32 (80%) controls (p < 0.001). The calculated odds ratio for subsequent PND utilization was 5.37. CONCLUSION: The study reflects a very positive attitude of genetically counselled thalassaemia affected families towards PND. For better utilization of PND, genetic counselling services should be available at all health strata.