The effect of atrial fibrillation on stroke-related inpatient costs in Sweden: a 3-year analysis of registry incidence data from 2001.
OBJECTIVE
Atrial fibrillation (AF) is an important risk factor for stroke. It is prevalent in approximately one-fourth of stroke patients, and predictive of worse outcomes. This study aimed to analyze the effect of AF on stroke-related inpatient costs among first-ever stroke patients in Sweden.


METHODS
Hospitalizations and death records were monitored for 3 years in 6611 first-ever stroke patients. For stroke as primary diagnosis, inpatient costs were calculated on the basis of length of stay at different wards. For stroke as secondary diagnosis, costs were based on diagnosis-related groups.


RESULTS
Patients with AF (24% of all patients) were older (80 years vs. 73 years), had a higher prevalence of hypertension (49% vs. 41%) and/or diabetes (22% vs. 19%), higher risk of experiencing a restroke, and higher case fatality rate (43% vs. 25%) than patients without AF. The average cost per patient over 3 years was 9004 euros, with no statistically significant difference between AF and non-AF patients. However, a multiple regression analysis showed that the presence of AF resulted in higher costs after considering a number of background factors. Among patients surviving the index event, AF patients had on average 818 euros higher inpatient costs over 3 years than non-AF patients (10,192 euros vs. 9374 euros, P < 0.01). The difference in costs was highest for patients aged <65 years, with a difference of 4412 euros (P < 0.01).


CONCLUSIONS
AF-related strokes are associated with higher 3-year inpatient costs than non-AF strokes when controlling for factors such as case fatality rates, other risk factors for stroke, and age.
Ghatnekar
Ola
O
The Swedish Institute for Health Economics, Lund, Sweden. og@ihe.se
Glader
Eva-Lotta
EL
D000368:Aged; D000369:Aged, 80 and over; D001281:Atrial Fibrillation / Q000150:complications / Q000191:economics* / Q000401:mortality / Q000503:physiopathology; D005260:Female; D017721:Hospital Costs; D006760:Hospitalization / Q000191:economics; D006801:Humans; D015994:Incidence; D053208:Kaplan-Meier Estimate; D007902:Length of Stay / Q000706:statistics & numerical data; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D018803:Models, Economic; D015233:Models, Statistical; D015999:Multivariate Analysis; D012042:Registries; D012307:Risk Factors; D020521:Stroke / Q000191:economics* / Q000209:etiology / Q000401:mortality / Q000503:physiopathology; D013548:Sweden / Q000453:epidemiology; D013997:Time Factors