Abstract 1822P
Background
The incidence and economic burden of cancer cachexia are not well described. Study objective: estimate cachexia incidence and compare HRU in patients with solid tumors with and without cachexia.
Methods
This retrospective study was conducted using the Optum Market Clarity database. Patients had breast, colorectal, lung, pancreatic, or prostate cancer between 10/1/2016-9/30/2022 and ≥2 weight measurements 150-210 days apart with ≥1 measurement after cancer index date. Cachexia cases had ≥5% weight loss between measurements (Fearon criteria); date of second measurement was designated the cachexia index date. Controls had <5% weight loss; index dates imputed as the second of 2 weight measurements 150-210 days apart. Inverse probability of treatment weights were used to balance both groups at cachexia index date. Primary outcome: number of healthcare visits/patient/month (PPPM) during the 12 months after cachexia index date, categorized as hospital inpatient (IP) admissions, hospital outpatient (OP), office, home/telehealth, and other visits. T-tests were used to compare HRU in cachexia cases vs controls by tumor type.
Results
27679 patients with breast (N=9660), colorectal (N=3080), lung (N=3116), pancreatic (N=449), or prostate (N=8650) cancer were included. 12 months after cancer diagnosis, 34%, 51%, 55%, 73%, and 29% of patients, respectively, had cachexia. Across tumor types, significantly more hospital OP visits PPPM occurred in cachexia vs controls (Table). Differences in hospital IP, office, home/telehealth, and other visits were observed, with statistical significance varying by tumor type. Table: 1822P
PPPM claims by tumor type in cachexia cases vs controls
Breast | Colorectal | Lung | Pancreatic | Prostate | |||||||||||
Cachexia Cases (n=3289) | Controls (n=6371) | p | Cachexia Cases (n=1576) | Controls (n=1504) | p | Cachexia Cases (n=1725) | Controls (n=1391) | p | Cachexia Cases (n=326) | Controls (n=123) | p | Cachexia Cases (n=2536) | Controls (n=6114) | p | |
Hospital IP | 0.57 | 0.49 | .197 | 1.71 | 1.42 | .190 | 4.10 | 3.48 | .164 | 5.10 | 7.01 | .236 | 0.90 | 0.41 | ConclusionsIncidence of cachexia was highest in pancreatic followed by lung and colorectal, and lowest in breast and prostate cancers. Patients with cachexia used more health resources than controls, collectively highlighting clinical and economic burden in this population. Clinical trial identificationEditorial acknowledgementLegal entity responsible for the studyPfizer. FundingPfizer. DisclosureI. Ali: Financial Interests, Personal, Full or part-time Employment: Icahn School of Medicine at Mount Sinai. S. Dagenais,I. Jacobs, F. Dai, O. Dina: Financial Interests, Personal, Full or part-time Employment: Pfizer; Financial Interests, Personal, Stocks/Shares: Pfizer. S. Corman, T. Adesoba: Financial Interests, Personal, Full or part-time Employment: PRECISIONheor; Financial Interests, Institutional, Other, Consulting fees to PRECISIONheor: Pfizer. Resources from the same session1833P - JUMP_START: Optimization of multiprofessional care for young patients with colorectal cancerPresenter: Kaiyu Xu Session: Poster session 12 1834P - Accuracy of recommendations by a conversational Artificial Intelligence (AI) cancer mentor application (app): A multi-disciplinary, multi-institutional evaluation reportPresenter: Talia Golan Session: Poster session 12 1835P - Multi-centre, randomised controlled trial of digital health cancer solution for cancer patients receiving chemotherapyPresenter: Agnieszka Michael Session: Poster session 12 1836P - Patient-reported health behaviors (PRHB) among 1850 patients enrolled in a remote patient monitoring (RPM) pathwayPresenter: Maria Alice Franzoi Session: Poster session 12 1837P - Assessing care complexity in remote patient monitoring (RPM): A cohort study of 2434 cancer patients across 50 sites in France and BelgiumPresenter: Capucine Baldini Session: Poster session 12 1838P - AI-based smart oncology follow-up system: Prospective application testing and enhancement of clinical efficacyPresenter: Chunwei Xu Session: Poster session 12 1839P - Dynamic reporting of treatment related symptoms via ePROs can reversely identify the type of underlying cancerPresenter: Andreas Trojan Session: Poster session 12 1840P - Ready for digital health? A national mirror survey exploring the perspectives of both patients and healthcare professionalsPresenter: Florian Scotté Session: Poster session 12 1841P - Feasibility of wrist-worn health-tracker data to predict the need for therapy modifications in patients with metastatic cancerPresenter: Anna Sophie Berghoff Session: Poster session 12 1842P - The experience of women with breast or gynecological cancer after participation in the online mindfulness-based cancer recovery program (eMBCR)Presenter: Marie-Estelle Gaignard Session: Poster session 12 This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used. For more detailed information on the cookies we use, please check our Privacy Policy.
|