Abstract
Introduction: Pleural treatment options for MPEs are expanding;more accurate prognostication may help individualise treatment strategies to minimise discomfort, inconvenience and prolonged hospital stay.
Aim: To evaluate the potential impact of Lent score application in guiding management decisions for MPE interventions and subsequent impact on hospital stay and related costs in a tertiary centre.
Materials and Methods: Retrospective study of MPEs (2015-2018), Lent score estimation and assessment of its correlations with interventions/hospital stay/cost/survival.
Results: During 2015-2018, 118 patients were diagnosed with MPEs,69/118 medical records were retrieved(32 males,37 females, mean age 64). MPEs etiology was 92% due to lung cancer. Decision making process for MPEs management was mainly guided by performance status and comorbidities at the time. Retrospective application of LENT score showed correlation with survival(high risk-52 days, moderate risk-155 days, low risk-290 days). Pleurodesis was offered to 76% of high risk patients, 65% of moderate risk patients and 82% of low risk patients. Mean hospital stay was 14 days and correlated with Lent score (p=0.03). Mean cost for hospital stay and interventions for high risk patients was 2,263euros and for low risk patients was 1,023euros(p=0.04) showing a prolonged hospital stay, costlier and more burdensome interventions in patients with poorer prognosis.
Conclusions: Prolonged hospital stay in high Lent score patients would represent a substantial proportion of their remaining life. Lent score application at diagnosis could have better informed the decision making process for interventions in these patients and could have shortened hospital stay and decrease costs.
Footnotes
Cite this article as: European Respiratory Journal 2019; 54: Suppl. 63, PA4656.
This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
- Copyright ©the authors 2019