BACKGROUND: The balance of benefit versus burden of ongoing treatments for comorbid disease in palliative populations as death approaches needs careful consideration given their particular susceptibility to adverse drug effects. AIM: To provide descriptive data regarding the medications being prescribed to patients who have a life-limiting illness at the time of referral to a palliative care service in regional Australia, with particular focus on lipid-lowering medications. METHODS: A prospective case note review of 203 patients reporting the number of medications prescribed and, for lipid-lowering medications, the indication and level of prevention sought (primary, secondary, tertiary). Rates were compared by performance status, disease phase and comorbidity burden. RESULTS: Mean number of regular medications prescribed was 7.2, with higher rates observed in those patients with a non-malignant primary diagnosis (rate ratio 1.28, confidence interval (CI) 1.11-1.50) or poorer performance status (rate ratio 1.37, CI 1.11-1.69) and lower rates for those in the terminal phase of disease (rate ratio 0.48, CI 0.30-0.76). Over one fifth of patients were prescribed a lipid-lowering medication, and two fifths of these prescriptions were for primary prevention of cardiovascular disease. Patients in the highest quartile of Charlson Comorbidity Index score were 4.6 (CI 2.06-10.09) times more likely to be prescribed a lipid-lowering medication than those in the lowest quartile. CONCLUSIONS: Polypharmacy is prevalent for this group of patients, placing them at high risk of drug-drug and drug-host interactions. Prescribing may be driven by risk factors and disease guidelines rather than a rational, patient-centred approach.
BACKGROUND: The balance of benefit versus burden of ongoing treatments for comorbid disease in palliative populations as death approaches needs careful consideration given their particular susceptibility to adverse drug effects. AIM: To provide descriptive data regarding the medications being prescribed to patients who have a life-limiting illness at the time of referral to a palliative care service in regional Australia, with particular focus on lipid-lowering medications. METHODS: A prospective case note review of 203 patients reporting the number of medications prescribed and, for lipid-lowering medications, the indication and level of prevention sought (primary, secondary, tertiary). Rates were compared by performance status, disease phase and comorbidity burden. RESULTS: Mean number of regular medications prescribed was 7.2, with higher rates observed in those patients with a non-malignant primary diagnosis (rate ratio 1.28, confidence interval (CI) 1.11-1.50) or poorer performance status (rate ratio 1.37, CI 1.11-1.69) and lower rates for those in the terminal phase of disease (rate ratio 0.48, CI 0.30-0.76). Over one fifth of patients were prescribed a lipid-lowering medication, and two fifths of these prescriptions were for primary prevention of cardiovascular disease. Patients in the highest quartile of Charlson Comorbidity Index score were 4.6 (CI 2.06-10.09) times more likely to be prescribed a lipid-lowering medication than those in the lowest quartile. CONCLUSIONS: Polypharmacy is prevalent for this group of patients, placing them at high risk of drug-drug and drug-host interactions. Prescribing may be driven by risk factors and disease guidelines rather than a rational, patient-centred approach.
Authors: Jean S Kutner; Patrick J Blatchford; Donald H Taylor; Christine S Ritchie; Janet H Bull; Diane L Fairclough; Laura C Hanson; Thomas W LeBlanc; Greg P Samsa; Steven Wolf; Noreen M Aziz; David C Currow; Betty Ferrell; Nina Wagner-Johnston; S Yousuf Zafar; James F Cleary; Sandesh Dev; Patricia S Goode; Arif H Kamal; Cordt Kassner; Elizabeth A Kvale; Janelle G McCallum; Adeboye B Ogunseitan; Steven Z Pantilat; Russell K Portenoy; Maryjo Prince-Paul; Jeff A Sloan; Keith M Swetz; Charles F Von Gunten; Amy P Abernethy Journal: JAMA Intern Med Date: 2015-05 Impact factor: 21.873
Authors: S Sourdet; C Rochette; P de Souto Barreto; F Nourhashemi; A Piau; B Vellas; Y Rolland Journal: J Nutr Health Aging Date: 2018 Impact factor: 4.075