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1.
Clin Transl Oncol ; 23(10): 2046-2056, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34109562

RESUMO

PURPOSE: To report healthcare resource use and associated costs in controlled versus uncontrolled carcinoid syndrome (CS) in patients with neuroendocrine tumours. METHODS: A cross-sectional, non-interventional multicentre study was conducted with retrospective data analysis. Resource use was compared between two patient groups: those with controlled CS (> 12 months with no uncontrolled CS episodes) and uncontrolled CS (< 12 months since last uncontrolled episode). Patients were matched for age, sex, and origin and grade of tumour. When no matching patients were available, data from deceased patients were used. Information on healthcare resource use came from review of medical records, patient history and physician reports. Working capacity was assessed using the Work Productivity and Activity Impairment General Health questionnaire. RESULTS: Twenty-six university hospitals in Spain participated, between July 2017 and April 2018. 137 patients were enrolled; 104 were analysed (2 groups of 52). Patients with uncontrolled CS had 10 times more emergency department (ED) visits (mean 1.0 vs 0.10 visits; P = 0.0167), were more likely to have a hospital admission (40.4% vs 19.2%; P = 0.0116) and had longer hospital stays (mean 7.87 vs 2.10 days; P = 0.0178) than those with controlled CS. This corresponded to higher annual hospitalisation costs (mean €5511.59 vs €1457.22; P = 0.028) and ED costs (€161.25 vs €14.85; P = 0.0236). The mean annual total healthcare costs were 60.0% higher in patients with uncontrolled than controlled CS (P = NS). CONCLUSION: This study quantifies higher health resource use, and higher hospitalisation and ED costs in patients with uncontrolled CS. Better control of CS may result 3in lower medical costs.


Assuntos
Custos de Cuidados de Saúde , Necessidades e Demandas de Serviços de Saúde/economia , Síndrome do Carcinoide Maligno/economia , Absenteísmo , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Custos Diretos de Serviços , Serviço Hospitalar de Emergência/estatística & dados numéricos , Feminino , Custos de Cuidados de Saúde/estatística & dados numéricos , Necessidades e Demandas de Serviços de Saúde/estatística & dados numéricos , Hospitalização/economia , Hospitalização/estatística & dados numéricos , Hospitais Universitários/estatística & dados numéricos , Humanos , Masculino , Síndrome do Carcinoide Maligno/patologia , Síndrome do Carcinoide Maligno/terapia , Pessoa de Meia-Idade , Tumores Neuroendócrinos/economia , Tumores Neuroendócrinos/patologia , Tumores Neuroendócrinos/terapia , Presenteísmo/estatística & dados numéricos , Estudos Retrospectivos , Espanha , Trabalho/estatística & dados numéricos
2.
Br J Cancer ; 116(8): 994-1001, 2017 Apr 11.
Artigo em Inglês | MEDLINE | ID: mdl-28267709

RESUMO

BACKGROUND: Our objective was to develop a prognostic stratification tool that enables patients with cancer and pulmonary embolism (PE), whether incidental or symptomatic, to be classified according to the risk of serious complications within 15 days. METHODS: The sample comprised cases from a national registry of pulmonary thromboembolism in patients with cancer (1075 patients from 14 Spanish centres). Diagnosis was incidental in 53.5% of the events in this registry. The Exhaustive CHAID analysis was applied with 10-fold cross-validation to predict development of serious complications following PE diagnosis. RESULTS: About 208 patients (19.3%, 95% confidence interval (CI), 17.1-21.8%) developed a serious complication after PE diagnosis. The 15-day mortality rate was 10.1%, (95% CI, 8.4-12.1%). The decision tree detected six explanatory covariates: Hestia-like clinical decision rule (any risk criterion present vs none), Eastern Cooperative Group performance scale (ECOG-PS; <2 vs ⩾2), O2 saturation (<90 vs ⩾90%), presence of PE-specific symptoms, tumour response (progression, unknown, or not evaluated vs others), and primary tumour resection. Three risk classes were created (low, intermediate, and high risk). The risk of serious complications within 15 days increases according to the group: 1.6, 9.4, 30.6%; P<0.0001. Fifteen-day mortality rates also rise progressively in low-, intermediate-, and high-risk patients: 0.3, 6.1, and 17.1%; P<0.0001. The cross-validated risk estimate is 0.191 (s.e.=0.012). The optimism-corrected area under the receiver operating characteristic curve is 0.779 (95% CI, 0.717-0.840). CONCLUSIONS: We have developed and internally validated a prognostic index to predict serious complications with the potential to impact decision-making in patients with cancer and PE.


Assuntos
Técnicas de Apoio para a Decisão , Árvores de Decisões , Neoplasias/complicações , Embolia Pulmonar/diagnóstico , Medição de Risco/métodos , Índice de Gravidade de Doença , Área Sob a Curva , Feminino , Seguimentos , Indicadores Básicos de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Prognóstico , Embolia Pulmonar/etiologia , Embolia Pulmonar/mortalidade , Sistema de Registros , Taxa de Sobrevida
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