Clinic-based perspectives on the integration of patient-reported outcomes (PROs) in a tertiary cancer center.

PURPOSE: This study examines providers' and clinic staff's perspectives on patient-reported outcomes (PROs) implementation at an academic medical center. METHODS: An anonymous and voluntary survey was administered to Henry Ford Cancer providers and clinic staff 18 months after PROs program implementation in September 2020, to obtain their feedback on perceived barriers, impact on workflows, and PROs administration frequency in routine cancer care. RESULTS: A total of 180 providers and 40 clinic staff were invited to complete the survey; 31% and 63% completed the survey, respectively. Approximately 68% of providers reported that electronically integrated PROs scores were either beneficial or somewhat beneficial to their patients, while only 28% of the clinic staff reported that PROs were beneficial or somewhat beneficial to patients. According to the clinic staff, the most common barriers to PROs completion included lack of patients' awareness of the utility of the program with respect to their care, patients' health status at check-in, and PROs being offered too frequently. CONCLUSION: There is favorable acceptance of the PROs program by providers, but clinic staff found it less favorable. Interventions to address barriers and improve program engagement are needed to ensure broad adoption of PROs in oncology practice.

Echocardiography and pulmonary hypertension in patients with chronic obstructive pulmonary disease undergoing lung transplantation evaluation.

BACKGROUND: The use of echocardiography in pulmonary hypertension (PH) in advanced chronic obstructive pulmonary disease (COPD) is understudied. We aimed to compare the performance of echocardiography with right heart catheterization (RHC) in the diagnosis of PH in COPD patients undergoing lung transplant evaluation. METHODS: We included 111 patients with severe COPD who underwent RHC in a single center as part of lung transplantation evaluation. COPD-PH and severe COPD-PH were defined based on RHC per the 6th world symposium on pulmonary hypertension. Echocardiographic probability of PH was described according to the European Society of Cardiology guidelines. Summary and univariate analyses were performed. RESULTS: The mean age (±SD) was 62 (8) and 47% (n=52) were men. A total of 82 patients (74 %) had COPD-PH. The sensitivity, specificity, positive predictive, and negative predictive values of echocardiography in diagnosing COPD-PH were 43 %, 83 %, 88 %, and 34 % respectively and for severe COPD-PH were 67 %, 75 %, 50 %, and 86 % respectively. Echocardiography was consistent with RHC in ruling in/out PH in 53% (n=59) of patients. After controlling for age, sex. BMI, pack year, echocardiography-RHC time difference, GOLD class, FVC, and CT finding of emphysema, higher TLC decreased consistency (parameter estimate=-0.031; odds ratio: 0.97, 95%CI 0.94-0.99; p=0.037) and higher DLCO increased consistency (parameter estimate=0.070; odds ratio: 1.07, 95%CI 0.94-0.99; p=0.026). CONCLUSIONS: Echocardiography has high specificity but low sensitivity for the diagnosis of PH in advanced COPD. Its performance improves when ruling out severe COPD-PH. This performance correlates inversely with lung hyperinflation.

Deep Learning Prediction of Response to Anti-VEGF among Diabetic Macular Edema Patients: Treatment Response Analyzer System (TRAS).

Diabetic macular edema (DME) is the most common cause of visual impairment among patients with diabetes mellitus. Anti-vascular endothelial growth factors (Anti-VEGFs) are considered the first line in its management. The aim of this research has been to develop a deep learning (DL) model for predicting response to intravitreal anti-VEGF injections among DME patients. The research included treatment naive DME patients who were treated with anti-VEGF. Patient's pre-treatment and post-treatment clinical and macular optical coherence tomography (OCT) were assessed by retina specialists, who annotated pre-treatment images for five prognostic features. Patients were also classified based on their response to treatment in their post-treatment OCT into either good responder, defined as a reduction of thickness by >25% or 50 µm by 3 months, or poor responder. A novel modified U-net DL model for image segmentation, and another DL EfficientNet-B3 model for response classification were developed and implemented for predicting response to anti-VEGF injections among patients with DME. Finally, the classification DL model was compared with different levels of ophthalmology residents and specialists regarding response classification accuracy. The segmentation deep learning model resulted in segmentation accuracy of 95.9%, with a specificity of 98.9%, and a sensitivity of 87.9%. The classification accuracy of classifying patients' images into good and poor responders reached 75%. Upon comparing the model's performance with practicing ophthalmology residents, ophthalmologists and retina specialists, the model's accuracy is comparable to ophthalmologist's accuracy. The developed DL models can segment and predict response to anti-VEGF treatment among DME patients with comparable accuracy to general ophthalmologists. Further training on a larger dataset is nonetheless needed to yield more accurate response predictions.

Atomoxetine improves hippocampal cell proliferation but not memory in Doxorubicin-treated adult male rats.

Atomoxetine (ATX) is a noradrenaline reuptake inhibitor used to treat Attention deficit hyperactive disorder (ADHD), or improve cognition in normal subjects. Cancer patients treated with systemic adjuvant chemotherapy have described experiencing deterioration in cognition. Doxorubicin (DOX, Adriamycin) is one of the anthracycline families used in chemotherapy, which has a deteriorating effect on both cognition and proliferation. The cognitive effects of ATX require inputs from the hippocampus. The aim of this study was to examine spatial memory and proliferation in the subgranular zone (SGZ) of the DG in adult Lister Hooded rats treated either alone or with a combination of Atomoxetine (30 mg kg-1  day-1 , six i.p. doses, one injection every other day) and Doxorubicin (DOX) ( 2 mg kg-1  day-1 , six i.p. doses, one injection every other day). Spatial memory was tested using the Novel location recognition (NLR) test, and proliferation of hippocampal cells was quantified using immunohistochemistry for the proliferative marker Ki67. Results showed that ATX treatment has improved the NLR task and increased cell proliferation in the SGZ of the DG, compared with saline-treated controls. Animals treated with DOX only showed deficits in NLR task, and co-administration of ATX along with DOX did not improve their performance. DOX chemotherapy caused a significant reduction in the number of proliferating cells in the SGZ of the DG compared with saline-treated controls. This reduction was reversed by co-administration of ATX. The above findings suggest that DOX can negatively affect both cell proliferation and memory and ATX co-administration improves proliferation, but not memory in the adult male rat hippocampus.