RESUMO
BACKGROUND/OBJECTIVES: The incidence of pancreatic cancer is increasing in developed countries. The incorporation of new therapies, to the first-line treatment of patients with good performance status led to better survival in clinical trials. However, there is a wide variability in their use and some concerns about the treatment of elderly patients who were not included in the clinical trials. METHODS: This is a retrospective multicenter study. Data from consecutive patients diagnosed with metastatic pancreatic cancer (mPC) treated with FOLFIRINOX (FFX) or gemcitabine plus nab-paclitaxel (GnP) were analysed to evaluate efficacy (overall survival-OS) and toxicity. RESULTS: A total of 119 patients were included. 49.6% were treated with FFX and 50.4% with GNP in first-line. The median OS was 12 months with no statistically significant differences between both regimens (12.7 m for FFX vs 10.2 m for GnP). Elevated Ca 19.9 levels and neutrophil-lymphocyte ratio (NLR) increased the risk of death. Patients who received both regimens in first/second line had a median OS longer than 15 months whichever the sequence. 32 patients (27%) were older than 70-y. 54% patients received a second-line treatment, 56% in the FFX group and 44% in the GnP group. The median OS for patients older than 70 was 9.5 m versus 12.3 m for patients younger than 70. Progression of the disease was the cause of death in 67.6% of the patients. CONCLUSIONS: In our setting, the use of FFX and GnP for treating mPC is quite similar, but superiority could not be demonstrated for any of the schemes in the first line. OS was determined by basal levels of Ca 19.9 and NLR. Patients receiving both regimens in first/second line whichever the sequence, exhibited the best survival rates. In our series, elderly patients had poorer survival rates.
Assuntos
Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Desoxicitidina/análogos & derivados , Paclitaxel/uso terapêutico , Neoplasias Pancreáticas/tratamento farmacológico , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Protocolos de Quimioterapia Combinada Antineoplásica/efeitos adversos , Causas de Morte , Desoxicitidina/efeitos adversos , Desoxicitidina/uso terapêutico , Progressão da Doença , Feminino , Fluoruracila/efeitos adversos , Fluoruracila/uso terapêutico , Humanos , Irinotecano/efeitos adversos , Irinotecano/uso terapêutico , Leucovorina/efeitos adversos , Leucovorina/uso terapêutico , Masculino , Pessoa de Meia-Idade , Oxaliplatina/efeitos adversos , Oxaliplatina/uso terapêutico , Paclitaxel/efeitos adversos , Neoplasias Pancreáticas/mortalidade , Neoplasias Pancreáticas/patologia , Estudos Retrospectivos , Taxa de Sobrevida , GencitabinaRESUMO
PURPOSE: Our primary goal was to study the use of outpatient attendances by lung cancer patients in Hospital Universitario Puerta de Hierro Majadahonda (HUPHM), Spain, by leveraging our Electronic Patient Record (EPR) and structured clinical registry of lung cancer cases as well as assessing current Data Science methods and tools. METHODS/PATIENTS: We applied the Cross-Industry Standard Process for Data Mining (CRISP-DM) to integrate and analyze activity data extracted from the EPR (9.3 million records) and clinical data of lung cancer patients from a previous registry that was curated into a new, structured database based on REDCap. We have described and quantified factors with an influence in outpatient care use from univariate and multivariate points of view (through Poisson and negative binomial regression). RESULTS: Three cycles of CRISP-DM were performed resulting in a curated database of 522 lung cancer patients with 133 variables which generated 43,197 outpatient visits and tests, 1538 ER visits and 753 inpatient admissions. Stage and ECOG-PS at diagnosis and Charlson Comorbidity Index were major contributors to healthcare use. We also found that the patients' pattern of healthcare use (even before diagnosis), the existence of a history of cancer in first-grade relatives, smoking habits, or even age at diagnosis, could play a relevant role. CONCLUSIONS: Integrating activity data from EPR and clinical structured data from lung cancer patients and applying CRISP-DM has allowed us to describe healthcare use in connection with clinical variables that could be used to plan resources and improve quality of care.