Search

Aims The study aimed at investigating the use of guideline‐recommended diagnostic tools and medication in patients with heart failure (HF) in specialty care in Southwest Finland. We also compared the characteristics of the diagnosed and undiagnosed patients as well as laboratory tests, procedures, and treatments in everyday clinical practice. Methods and results Patients diagnosed with HF, cardiomyopathy, or hypertension‐induced heart disease (n = 20 878, primary cohort) or not diagnosed with HF but having a record of elevated N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) (>125 ng/L, n = 24 321, secondary cohort) were included in the study from the specialty care patient register of the Hospital District of Southwest Finland during the years 2005–2017. Among patients with an International Classification of Diseases, Tenth Revision (ICD‐10) code for HF, only 50% had ejection fraction (EF) data to be found by data mining from the electronic health records. Of these patients, 39% (n = 4042) had EF ≤ 40% [HF with reduced EF (HFrEF)] and 61% (n = 6347) had EF > 40%. Elevated NT‐proBNP together with EF > 40% narrowed down the number to 4590 patients, a population defined as HF with preserved EF (HFpEF) patients. HFpEF patients were further stratified into HF with mildly reduced EF (HFmrEF; EF 41–50%, n = 1468) and EF > 50% patients (n = 3122) to compare clinical characteristics. NT‐proBNP was higher within the HFrEF patients vs. HFpEF {4580 [inter‐quartile range (IQR): 2065–9765] vs. 2900 [2065–9765] ng/L, P 50% patients. In 70% (n = 17 156) of patients in the secondary cohort, the NT‐proBNP concentrations were >300 ng/L, median was 1090 (IQR 551–2558) ng/L and EF 58.4 ± 12.1% (n with EF available = 6845). Reduced EF was present in 6.8% of patients lacking HF diagnosis. Conclusions Half of the patients with ICD‐10 code for HF did not have EF data available after a visit at specialty care. In particular, the diagnosis of HFpEF seems challenging, reflected as an increase in procedures and laboratory test preceding diagnosis compared with those in HFrEF patients. Also, a large proportion of patients did not have HF diagnosis, yet they presented elevated NT‐proBNP concentrations and clinical characteristics resembling those of HFpEF patients.

Biologic treatments have enhanced the treatment outcomes of patients with active ankylosing spondylitis (AS). Until recently, TNF-alpha-inhibitors have been the only biologics approved for the treatment of active AS. The objective of this study was to assess the potential financial impact of the first non-TNF-alpha biologic secukinumab (fully human IL-17A-inhibitor) vs adalimumab (TNF-alpha-inhibitor) in the treatment of AS in Finland.In this model-based budget impact analysis, patients were treated either with secukinumab (150 mg) or adalimumab (40 mg). The number of patients and market share of different biologics were based on national reimbursement registry data. Adalimumab was the most commonly used biologic treatment for AS, and in the base case analysis all adalimumab patients are assumed to switch to secukinumab. Response rates were based on a matching-adjusted indirect comparison between secukinumab and adalimumab. Patients not achieving response were switched to another biologic treatment.Treating AS patients with secukinumab instead of adalimumab leads to potential savings of 18.2 million euros within a 5-year time period. The total costs within the follow-up time were 59.5 million euros and 77.7 million euros with and without secukinumab, respectively. According to sensitivity analyses, a higher adoption rate of secukinumab corresponds to higher potential savings.Secukinumab is a cost-saving treatment option compared with adalimumab in the treatment of AS in Finland. More patients could be treated with a biologic by allocating resources more efficiently.

Background Migraine is a complex neurological disorder with high co-existing morbidity burden. The aim of our study was to examine the overall morbidity and phenotypic diseasome for migraine among people of working age using real world data collected as a part of routine clinical practice. Methods Electronic medical records (EMR) of patients with migraine (n = 17,623) and age- and gender matched controls (n = 17,623) were included in this retrospective analysis. EMRs were assessed for the prevalence of ICD-10 codes, those with at least two significant phi correlations, and a prevalence >2.5% in migraine patients were included to phenotypic disease networks (PDN) for further analysis. An automatic subnetwork detection algorithm was applied in order to cluster the diagnoses within the PDNs. The diagnosis-wise connectivity based on the PDNs was compared between migraine patients and controls to assess differences in morbidity patterns. Results The mean number of diagnoses per patient was increased 1.7-fold in migraine compared to controls. Altogether 1337 different ICD-10 codes were detected in EMRs of migraine patients. Monodiagnosis was present in 1% and 13%, and the median number of diagnoses was 12 and 6 in migraine patients and controls. The number of significant phi-correlations was 2.3-fold increased, and cluster analysis showed more clusters in those with migraine vs. controls (9 vs. 6). For migraine, the PDN was larger and denser and exhibited one large cluster containing fatigue, respiratory, sympathetic nervous system, gastrointestinal, infection, mental and mood disorder diagnoses. Migraine patients were more likely affected by multiple conditions compared to controls, even if no notable differences in morbidity patterns were identified through connectivity measures. Frequencies of ICD-10 codes on a three character and block level were increased across the whole diagnostic spectrum in migraine. Conclusions Migraine was associated with an increased multimorbidity, evidenced by multiple different approaches in the study. A systematic increase in the morbidity across the whole spectrum of ICD-10 coded diagnoses, and when interpreting PDNs, were detected in migraine patients. However, no specific diagnoses explained the morbidity. The results reflect clinical praxis, but also undoubtedly, the pathophysiological phenotypes related to migraine, and emphasize the importance of better understanding migraine-related morbidity.

Aims: The aim of this study was to quantify how multiple sclerosis (MS) phenotypes differ from each other in respect of costs and quality-of-life.Materials and methods: The study is based on survey...

Background The highest prevalence of migraine is detected among people who are of working age. The aim of this study was to assess the burden of migraine in an occupational health care setting using real world data collected as a part of routine clinical practice. Methods This retrospective register study included migraineurs using occupational health care at the private health care provider Terveystalo. An age and gender matched control population was established for comparison. Electronic medical records were assessed for overall and migraine related health care visits, sick-leaves and comorbidities. Stratification to acute and prophylactic treatment groups along with prophylactic treatment lines was based on prescriptions. Results Among the 369,383 individuals in the study cohort, 7.4% women and 2.1% men were identified having a diagnosis of migraine. Prophylactic medication was prescribed to 13% of migraine patients and exclusively acute medication to 37%. Although migraine related visits and sick-leave days were significantly lower than overall visits or sick-leave days, both increased by prophylactic treatment line. The number of visits rose from 13.8 to 26.2 and sick-leave days from 16.8 to 30.4 per patient-year, in those without prophylaxis vs. ≥3 prophylactic treatments. Moreover, migraine patients had 1.7-fold increase in visits and 1.8-fold increase in sick leave days on average per patient-year, when compared to the control population. Depression and anxiety were 1.8-fold more common among patients with migraine, and the frequency also increase by treatment line. Conclusions Migraine burden increased by each failed treatment line and was associated with increased comorbidity. In addition, migraine patients had significantly higher extent of visits and sick-leave days as well as extent of comorbidities when compared to their age- and gender-matched counterparts.

Background Hip fractures require operation within 36–48 h, and they are most common in the elderly. A high International Normalized Ratio should be corrected before surgery. In the current study, we analyzed the budget impact of various warfarin reversal approaches. Methods Four reversal strategies were chosen for the budget impact analysis: the temporary withholding of warfarin, administration of vitamin K, fresh frozen plasma (FFP), and a four-factor prothrombin complex concentrate (PCC). Results We estimated that, annually, 410 hip fracture patients potentially require warfarin reversal in Finland. The least costly treatment was vitamin K, which accounted for €289,000 in direct healthcare costs, and the most costly treatment option was warfarin cessation, which accounted for €1,157,000. In the budget impact analysis, vitamin K, PCC and FFP would be cost-saving to healthcare compared with the current treatment mix. Conclusion The various warfarin reversal strategies have different onset times, which may substantially impact the subsequent healthcare costs.

The treatments of lung cancer have progressed significantly during the past ten years through the enhanced understanding of the underlying biological processes. Treatment outcomes have become better in the era of targeted treatments, but these new treatments are more expensive than their predecessors. Cost-effectiveness of the new treatments has been widely evaluated internationally. Nevertheless, the results from these analyses have been contradictory. Based on the published evaluations it is neither possible to rank the new treatments nor is it possible to unambiguously claim the cost-effectiveness of the new treatments compared with traditional treatments. National cost-effectiveness analyses of lung cancer treatments have not been published in Finland.

Information on detailed treatment costs and the economic burden of renal cell carcinoma (RCC) is rare. The current study provides treatment costs and outcomes of patients with metastatic RCC (mRCC), as well as estimates of the future burden from the perspective of Finnish health care. These results offer a baseline against which the impact of emerging treatments may be evaluated.Information on treatment modalities, survival, and the cost of treatment was retrospectively gathered from mRCC patients (n = 83) receiving first-line interferon-alpha (IFN). Predictions of the number of new cases, premature deaths, and productivity losses were made using local epidemiological data, which were projected to the future using population growth forecasts. The future costs of mRCC treatment and the budget impact of sunitinib were estimated through modeling.Patients survived 11.9 months (median; 95% CI 9.2-14.7) after initiation of active IFN treatment, accruing an average total treatment cost of 951 euros. Most of the treatment costs were due to hospitalization and active IFN treatment. The aging of the population leads to nearly a 2% increase in the absolute number of new diagnoses annually, while at the same time it results in declining productivity losses. The estimated five-year population cost of IFN-based treatment was 16M euros-26M euros. Adding sunitinib to the first-line treatment protocol increased this cost by 13M eruos-41M euros.Despite the limited number of patients, metastatic renal cell carcinoma places a considerable economic burden on Finnish society. Treatment costs are likely to increase substantially due to the adoption of new and more expensive medications, the aging population, and enhanced survival times.

Background: Cytokine therapy is currently used as first-line treatment of metastatic renal cell carcinoma (mRCC). Until recently, treatments with proven efficacy after the failure of first-line cytokine therapy were not available. In recent clinical trials, sunitinib has been associated with good response rates in patients with mRCC. Objective: The aim of this study was to analyze the cost-effectiveness of sunitinib as second-line therapy for cytokine-refractory mRCC compared with current routine clinical practice in Finland (ie, best supportive care [BSC], including palliative biochemotherapy). Methods: A probabilistic decision-analytic model was developed to estimate the cost-effectiveness of sunitinib. Data were gathered from clinical trials, literature sources, and expert opinions, as well as from a local sample (n = 39) from 2 university hospitals in Finland. Clinical experts treating patients with mRCC in Finland provided the information on care practices of prescribing sunitinib. The analysis was conducted from the perspective of the health care payer in Finland. Results: According to estimated incremental cost-effectiveness ratios (ICERs), 1 progression-free month gained cost €4802 (2005 Euros); 1 life-year gained cost €30,831; and 1 quality-adjusted life-year (QALY) gained cost €43,698, compared with BSC, in the treatment of mRCC. The expected mean cost in BSC was €5543. When parameter uncertainty was considered, the probability of sunitinib being the more cost-effective choice of treatment was ~70% at the willingness-to-pay level of €45,000/QALY gained. Conclusions: Based on the results of this cost-effectiveness analysis, sunitinib is potentially cost-effective as a second-line treatment of mRCC compared with the treatment currently practiced in Finnish hospitals. The ICER (€/QALY gained) obtained in the present study was less than the value considered suitable for novel oncology treatments.

Objectives:Adjuvant trastuzumab is widely used in HER2-positive (HER2+) early breast cancer, and despite its cost-effectiveness, it causes substantial costs for health care. The purpose of the study was to develop a tool for estimating the budget impact of new cancer treatments. With this tool, we were able to estimate the budget impact of adjuvant trastuzumab, as well as the probability of staying within a given budget constraint.Methods:The created model-based evaluation tool was used to explore the budget impact of trastuzumab in early breast cancer in a single Finnish hospital district with 250,000 inhabitants. The used model took into account the number of patients, HER2+ prevalence, length and cost of treatment, and the effectiveness of the therapy. Probabilistic sensitivity analysis and alternative case scenarios were performed to ensure the robustness of the results.Results:Introduction of adjuvant trastuzumab caused substantial costs for a relatively small hospital district. In base-case analysis the 4-year net budget impact was €1.3 million. The trastuzumab acquisition costs were partially offset by the reduction in costs associated with the treatment of cancer recurrence and metastatic disease.Conclusions:Budget impact analyses provide important information about the overall economic impact of new treatments, and thus offer complementary information to cost-effectiveness analyses. Inclusion of treatment outcomes and probabilistic sensitivity analysis provides more realistic estimates of the net budget impact. The length of trastuzumab treatment has a strong effect on the budget impact.