RESUMEN
PURPOSE: This study provides a contemporary assessment of the treatment patterns, health care resource utilization (HRU) and costs among metastatic castration-sensitive prostate cancer (mCSPC) patients in the U.S. MATERIALS AND METHODS: Adults with mCSPC were selected from Optum's de-identified Clinformatics® Data Mart Database (Commercial insurance/Medicare Advantage [COM/MA]; January 1, 2014-July 31, 2019) or Medicare Fee-for-Service (FFS; January 1, 2014-December 31, 2017). The index date was the first metastatic disease diagnosis date on/after the first prostate cancer diagnosis (without prior evidence of castration resistance). Patients were observed for 12 months pre-index (baseline) through their mCSPC period (from index until castration resistance or followup end). First-line (1L) mCSPC therapy was assessed during the mCSPC period; all-cause HRU and health plan-paid costs per-patient-per-year (PPPY) were measured during baseline and mCSPC periods. RESULTS: Among 6,517 COM/MA and 13,324 Medicare-FFS mCSPC patients over â¼10 months (median mCSPC period), 38% and 48% remained untreated/deferred treatment, and 45% and 46% received 1L androgen deprivation therapy (ADT) monotherapy, respectively. 1L abiraterone acetate and docetaxel were used among 7% and 6% of COM/MA and 1% and 2% of Medicare-FFS patients, respectively. HRU increased from baseline to mCSPC period, resulting in increased health plan-paid costs from $21,201 to $108,767 in COM/MA and from $16,819 to $69,639 PPPY in Medicare-FFS. CONCLUSIONS: This study highlights the limited use of newer therapies that improve survival in men with mCSPC in the U.S. HRU and costs increased substantially after onset of metastasis. Given the emergence of newer effective mCSPC therapies, further evaluation of future real-world mCSPC treatment patterns and outcomes is warranted.
Asunto(s)
Neoplasias de la Próstata Resistentes a la Castración/patología , Neoplasias de la Próstata Resistentes a la Castración/terapia , Anciano , Anciano de 80 o más Años , Estudios de Cohortes , Costos de la Atención en Salud , Recursos en Salud/estadística & datos numéricos , Humanos , Masculino , Metástasis de la Neoplasia , Estudios Retrospectivos , Estados UnidosRESUMEN
OBJECTIVE: To develop algorithms to identify metastatic castration-sensitive prostate cancer (mCSPC) patients and castration-resistant prostate cancer (mCRPC) patients, using health claims data and laboratory test results. METHODS: A targeted literature review summarized mCSPC and mCRPC patient selection criteria previously used in real-world retrospective studies. Novel algorithms to identify mCSPC and mCRPC were developed based on diagnosis codes indicating hormone sensitivity/resistance, prostate-specific antigen (PSA) test results, and claims for castration and mCRPC-specific treatments. These algorithms were applied to claims data from Optum Clinformatics Extended DataMart (Date of Death) Databases (commercial insurance/Medicare Advantage [COM/MA]; 01 January 2014-31 July 2019) and Medicare Fee-for-Service (Medicare-FFS; 01 January 2014-31 December 2017). RESULTS: Previous real-world studies identified mCSPC primarily based on metastasis diagnosis codes, and mCRPC based on mCRPC-specific drugs. Using the current study's algorithms, 7034 COM/MA and 19,981 Medicare-FFS patients were identified as having mCSPC, and 2578 COM/MA and 11,554 Medicare-FFS as having mCRPC. Most mCSPC patients were identified based on evidence of being hormone/castration-naive. Patients were identified as having mCRPC most commonly based on rising PSA (COM/MA), or at the metastasis diagnosis date if it occurred after castration (Medicare-FFS). Among patients with mCSPC, 14-17% had evidence of progression to castration resistance during a median 1-year follow-up period, mostly based on use of mCRPC-specific drugs. CONCLUSIONS: Comprehensive algorithms based on claims and laboratory data were developed to identify and distinguish patients with mCSPC and mCRPC. This will facilitate appropriate identification of mCSPC and mCRPC patients based on health claims data and better understanding of patient unmet needs in real-world settings.