Trend in outcome and financial impact of subdural hemorrhage.
BACKGROUND
Little current data exists regarding outcome, cost, and length of stay (LOS) after subdural hemorrhage (SDH). We sought to examine predictors of discharge disposition, ICU and hospital LOS and direct, indirect, ICU, surgical, and diagnostic costs for SDH.


METHODS
A retrospective review was conducted of 216 SDH patients, aged >18 years admitted to our hospital between 1/2001 and 12/2008. Discharge disposition was characterized as dead, poor or good. Multivariable logistic regression analysis was performed to identify predictors of disposition, LOS, and cost.


RESULTS
Of 216 SDH patients, the median age was 74 (19-95), and the median admission Glasgow Coma Scale (GCS) was 14 (3-15). The SDH was characterized as acute in 14%, subacute in 44%, chronic in 12%, and mixed in 30%. Surgical evacuation was performed in 139 (64%) patients. Death occurred in 29 (13%) patients and poor disposition in 43 (20%). Significant predictors of death included age, admission GCS, and hospital LOS (P < 0.05). Longer hospital LOS was associated with poor disposition, while shorter ICU LOS was associated with good disposition (P < 0.01). Median hospital LOS was 8 (1-99) days. Median total direct costs for hospitalization were $10,670 ($907-238,856). ICU and hospital LOS were significant predictors of all measures of cost (P < 0.05). SDH size, chronicity, and surgical intervention were not predictors of any outcome. There was no significant change in any outcome variable between 2001 and 2008.


CONCLUSIONS
Despite good admission neurological status, death or poor discharge disposition is common after SDH. LOS and costs remain high and have not improved in the last decade.
Frontera
Jennifer A
JA
Neuroscience Intensive Care Unit, Department of Neurosurgery, Mount Sinai School of Medicine, One Gustave Levy Place, Box 1136, New York, NY USA. Jennifer.Frontera@mountsinai.org
de los Reyes
Kenneth
K
Gordon
Errol
E
Gowda
Arjun
A
Grilo
Christina
C
Egorova
Natalia
N
Patel
Aman
A
Bederson
Joshua B
JB
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016208:Databases, Factual; D005260:Female; D005102:Health Expenditures / Q000706:statistics & numerical data; D006408:Hematoma, Subdural / Q000191:economics* / Q000401:mortality*; D017721:Hospital Costs; D006801:Humans; D007902:Length of Stay / Q000191:economics* / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data / Q000639:trends*; D010351:Patient Discharge / Q000191:economics / Q000706:statistics & numerical data; D012189:Retrospective Studies; D055815:Young Adult