Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jaya Sheela Amaram-Davila"'
Publikováno v:
Journal of Pain and Symptom Management
J Pain Symptom Manage
J Pain Symptom Manage
Publikováno v:
Current Anesthesiology Reports. 10:428-435
Although take-home naloxone is available for prescribing, recommended for certain high-risk patients, and can prevent overdose-related deaths, access to naloxone remains a challenge. This review describes the high-risk population on opioids that bene
Autor:
Jaya Sheela Amaram-Davila, Holly A. Stewart, Monica Aceves, Kimmie Tallie, Olga Fleckenstein, Mohamed Ait Aiss, Maria Franco-Vega, Shalini Dalal, Eduardo Bruera
Publikováno v:
Journal of Clinical Oncology. 40:65-65
65 Background: Communication among the health care providers plays a crucial role in team-based practices, and a standardized communication platform is essential. Our palliative care consult service (PCCS) at a university-based cancer center manages
Publikováno v:
Current treatment options in oncology. 21(3)
Opioids are the gold standard for the treatment of cancer-related pain. Preclinical studies have associated opioids with cancer progression and overall survival. In mice models, opioids have been shown to possess pro-tumor activity secondary to immun
Autor:
Bo Zhao, Chan Shen, Ibrahim Dahbour, Maen Abdelrahim, Joanna Grace M. Manzano, Jaya Sheela Amaram-Davila, Valda D. Page, Alvin H. Moss, Juhee Song, Ala Abudayyeh, Sriram Yennu, Marina George, Shouhao Zhou, Sreedhar Mandayam, Rima N. Pai, Joseph L. Nates
Publikováno v:
Am J Hosp Palliat Care
Introduction: In patients with advanced cancer, prolongation of life with treatment often incurs substantial emotional and financial expense. Among hospitalized patients with cancer since acute kidney injury (AKI) is known to be associated with much
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b54648036bc2c318592afe9301e271c
https://europepmc.org/articles/PMC7363512/
https://europepmc.org/articles/PMC7363512/
Autor:
Ahsan Azhar, Chris Sidey-Gibbons, Ishwaria Mohan Subbiah, Michael J Tang, Ali S Haider, Yvonne Heung, Sheng-Chieh Lu, Jaya Sheela Amaram-Davila, Eduardo Bruera, Kaoswi Karina Shih, Amy E Swan, Cai Xu
Publikováno v:
Journal of Clinical Oncology. 39:273-273
273 Background: To date, studies of machine learning (ML) algorithms within oncology for mortality prediction have focused on structured electronic health record (EHR) data. Given the complex symptom burden of patients with advanced cancers, ML model
Autor:
Saline Liselle Elder, Angelique Wong, Vivek Subbiah, Kaoswi Karina Shih, Aimee E. Anderson, Katie M Harnden, David S. Hong, Rama Maddi, Loretta A. Williams, Vera J De la Cruz, Zeena Shelal, Tito R. Mendoza, Ishwaria Mohan Subbiah, Desiree Q Ray, Christina Nelson, Melissa L Gaffney, Jaya Sheela Amaram-Davila, Akhila Reddy, Eduardo Bruera, Manju P Joy
Publikováno v:
Journal of Clinical Oncology. 39:TPS12136-TPS12136
TPS12136 Background: Patients w advanced cancer participating in Phase I trials carry a high symptom burden from cancer and prior therapies. Our prior work shows patients on phase I trials w multiple active symptoms impacting their immediate quality
Publikováno v:
Journal of Clinical Oncology. 38:7050-7050
7050 Background: Oncology patients with extensive metastatic disease and advanced-stage cancer frequently require controlled medications for pain managements. Insurers require Prior Authorization (PA) for high-cost specialty medications including: Hy