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1.
BMJ Open ; 9(4): e026465, 2019 04 01.
Artigo em Inglês | MEDLINE | ID: mdl-30940761

RESUMO

OBJECTIVES: To investigate healthcare costs associated with hyperkalaemia (HK) among patients with chronic kidney disease (CKD), heart failure (HF) or diabetes. DESIGN: Before-after cohort study of patients with HK and matched patients without HK. SETTING: Population-based databases covering primary and secondary care for the entire of Northern Denmark. PARTICIPANTS: Patients with a first incident record of CKD (n=78 372), HF (n=14 233) or diabetes (n=37 479) during 2005-2011. Among all patients experiencing a first HK event (potassium level >5.0 mmol/L), healthcare costs were compared during 6 months before and 6 months after the HK event. The same cost assessment was conducted 6 months before and after a matched index date in a comparison cohort of patients without HK. PRIMARY AND SECONDARY OUTCOME MEASURES: Mean costs of hospital care, general practice and dispensed drugs converted to 2018 Euros. RESULTS: Overall, 17 747 (23%) CKD patients, 5141 (36%) HF patients and 4183 (11%) diabetes patients with a first HK event were identified. More than 40% of all HK patients across the patient groups had subsequent HK events with successively shorter times between the events. In CKD patients, overall mean costs were €5518 higher 6 months after versus before first HK, while €441 higher in matched CKD patients without HK, yielding HK-associated costs of €5077. Corresponding costs associated with a HK event were €6018 in HF patients, and €4862 in diabetes patients. CONCLUSIONS: Among CKD, HF and diabetes patients, an incident HK event was common, and a large proportion of the patients experienced recurrent HK events. Substantial increase in healthcare costs associated with a HK event was observed in the HK patients compared with non-HK patients. These results are important to better understand the potential economic impact of HK among high-risk comorbid patients in a real-wold setting and help inform decision-making for clinicians and healthcare providers.


Assuntos
Custos de Cuidados de Saúde , Recursos em Saúde/economia , Recursos em Saúde/estatística & dados numéricos , Hiperpotassemia/economia , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Dinamarca , Complicações do Diabetes/complicações , Feminino , Insuficiência Cardíaca/complicações , Humanos , Hiperpotassemia/complicações , Masculino , Pessoa de Meia-Idade , Insuficiência Renal Crônica/complicações
2.
BMC Nephrol ; 20(1): 31, 2019 01 31.
Artigo em Inglês | MEDLINE | ID: mdl-30704421

RESUMO

BACKGROUND: People with chronic kidney disease (CKD) are at an increased risk of developing hyperkalaemia due to their declining kidney function. In addition, these patients are often required to reduce or discontinue guideline-recommended renin-angiotensin-aldosterone system inhibitor (RAASi) therapy due to increased risk of hyperkalaemia. This original research developed a model to quantify the health and economic benefits of maintaining normokalaemia and enabling optimal RAASi therapy in patients with CKD. METHODS: A patient-level simulation model was designed to fully characterise the natural history of CKD over a lifetime horizon, and predict the associations between serum potassium levels, RAASi use and long-term outcomes based on published literature. The clinical and economic benefits of maintaining sustained potassium levels and therefore avoiding RAASi discontinuation in CKD patients were demonstrated using illustrative, sensitivity and scenario analyses. RESULTS: Internal and external validation exercises confirmed the predictive capability of the model. Sustained potassium management and ongoing RAASi therapy were associated with longer life expectancy (+ 2.36 years), delayed onset of end stage renal disease (+ 5.4 years), quality-adjusted life-year gains (+ 1.02 QALYs), cost savings (£3135) and associated net monetary benefit (£23,446 at £20,000 per QALY gained) compared to an absence of RAASi to prevent hyperkalaemia. CONCLUSION: This model represents a novel approach to predicting the long-term benefits of maintaining normokalaemia and enabling optimal RAASi therapy in patients with CKD, irrespective of the strategy used to achieve this target, which may support decision making in healthcare.


Assuntos
Bloqueadores do Receptor Tipo 1 de Angiotensina II/uso terapêutico , Inibidores da Enzima Conversora de Angiotensina/uso terapêutico , Simulação por Computador , Hiperpotassemia/prevenção & controle , Modelos Biológicos , Potássio/sangue , Insuficiência Renal Crônica/complicações , Sistema Renina-Angiotensina/efeitos dos fármacos , Bloqueadores do Receptor Tipo 1 de Angiotensina II/efeitos adversos , Inibidores da Enzima Conversora de Angiotensina/efeitos adversos , Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/prevenção & controle , Redução de Custos , Progressão da Doença , Feminino , Humanos , Hiperpotassemia/induzido quimicamente , Hiperpotassemia/economia , Hiperpotassemia/etiologia , Rim/fisiopatologia , Falência Renal Crônica/prevenção & controle , Masculino , Anos de Vida Ajustados por Qualidade de Vida , Insuficiência Renal Crônica/sangue , Insuficiência Renal Crônica/economia , Insuficiência Renal Crônica/terapia
3.
J Med Econ ; 21(12): 1172-1182, 2018 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-30160541

RESUMO

AIMS: Patients with heart failure are at increased risk of hyperkalemia, particularly when treated with renin-angiotensin-aldosterone system inhibitor (RAASi) agents. This study developed a model to quantify the potential health and economic value associated with sustained potassium management and optimal RAASi therapy in heart failure patients. MATERIALS AND METHODS: A patient-level, fixed-time increment stochastic simulation model was designed to characterize the progression of heart failure through New York Heart Association functional classes, and predict associations between serum potassium levels, RAASi use, and consequent long-term outcomes. Following internal and external validation exercises, model analyses sought to quantify the health and economic benefits of optimizing both serum potassium levels and RAASi therapy in heart failure patients. Analyses were conducted using a UK payer perspective, independent of costs and utilities related to pharmacological potassium management. RESULTS: Validation against multiple datasets demonstrated the predictive capability of the model. Compared to those who discontinued RAASi to manage serum potassium, patients with normokalemia and ongoing RAASi therapy benefited from longer life expectancy (+1.38 years), per-patient quality-adjusted life year gains (+0.53 QALYs), cost savings (£110), and associated net monetary benefit (£10,679 at £20,000 per QALY gained) over a lifetime horizon. The predicted value of sustained potassium management and ongoing RAASi treatment was largely driven by reduced mortality and hospitalization risks associated with optimal RAASi therapy. LIMITATIONS: Several modeling assumptions were made to account for a current paucity of published literature; however, ongoing refinement and validation of the model will ensure its continued accuracy as the clinical landscape of hyperkalemia evolves. CONCLUSIONS: Predictions generated by this novel modeling approach highlight the value of sustained potassium management to avoid hyperkalemia, enable RAASi therapy, and improve long-term health economic outcomes in patients with heart failure.


Assuntos
Antagonistas de Receptores de Angiotensina/efeitos adversos , Inibidores da Enzima Conversora de Angiotensina/efeitos adversos , Insuficiência Cardíaca/tratamento farmacológico , Hiperpotassemia/induzido quimicamente , Hiperpotassemia/economia , Potássio/sangue , Antagonistas de Receptores de Angiotensina/uso terapêutico , Inibidores da Enzima Conversora de Angiotensina/uso terapêutico , Análise Custo-Benefício , Progressão da Doença , Gastos em Saúde/estatística & dados numéricos , Recursos em Saúde/economia , Recursos em Saúde/estatística & dados numéricos , Humanos , Hiperpotassemia/mortalidade , Hiperpotassemia/prevenção & controle , Modelos Econômicos , Anos de Vida Ajustados por Qualidade de Vida , Fatores de Tempo
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