Title: OUTCOME OF STROKE AND HEALTH CARE RESOURCE UTILIZATION
1OUTCOME OF STROKE AND HEALTH CARE RESOURCE
UTILIZATION
- SANDHYA SAMAVEDAM PGY3
- INTERNAL MEDICINE CATHOLIC HEALTH SYSTEM
2Introduction
- Current standards for stroke care - without
regard to age or functional status. - Little data to guide adjustments to the medical
and functional needs of the elderly. - Unnecessary tests can only lead prolonged stay ,
less time for rehabilitation.
3Aim
- To look at the health care utilization and its
effect on outcomes, taking into account the
severity of stroke among patients who were 80 and
above. - Health care resources investigations,
treatment, length of stay - Outcome measures- functional independence,
mortality, PEG dependence for feeding. - Cutoff time for rehab. Centers was 90 days and
cutoff for nursing home was 60 days.
4Methods
- Under HIPAA
- Retrospective data collection from hospital
records, nursing homes, rehabilitation centers. - Data included 207 patients.
- Exclusion criteria Hemorrhagic stroke (2),
advanced malignancy (2), brain tumors, TIAs (16),
HIV(0). - Additional exclusion included missing charts (1),
repetition (6), nursing homes not being able to
provide with outcome data (2), miscoding (1),
thus total remaining 175 patients.
5OUTCOME
- Favorable outcome
- patient being discharged home
- becomes independent or mildly dependent
- does not get a PEG.
- Poor outcome
- functional level remains moderate to severe
dependency at cutoff point of time. - If patient gets PEG tube or goes to hospice or
deceases, then it is poor outcome. - Functionality measured by FIM. The cutoff point
of FIM equivalent rankin scores for defining
moderate/severe dependency was 4 or above.
6Statistics
- average age 86, max - 100
- 35.6 - males , 64.4 - females.
- Origin 85 - home and 15 - nursing home,
assisted living or rehabilitation center. - 37 - moderate to severe dementia at
presentation.
7CONTINUOUS INDEPENDENT VARIABLES
Minimum Maximum Mean Standard deviation
AGE 80 100 85.6 4.3
NIH 1 26 9.1 6.7
FIM AT D/C 13 91 46 28
LENGTH OF STAY 0 98 7.7 8.5
8DISCRETETE INDEPENDENT VARIABLES
YES NO
DYSPHAGIA 33 67
DEMENTIA (mod-severe) 37 63
ATRIAL FIBRILLATION 46 (35 old, 11 newly diag.) 54
FEMALE 64.4 35.6
HOME 85 15
9Discharge destination
DISCHARGE DESTINATION
HOME/ASSISTED LIVING 28
REHABILITATION CENTER 29
NURSING HOME 15
HOSPICE/DEATH 26
HOME VNA/ OTHERS 2
10DISCRETE VARIABLES CONTINUED
- TIME AFTER ONSET OF SYMPTOMS
11MORBIDITY DATA
- STROKE WITH HEMIPLEGIA OR RESIDUAL DEFECTS
IMPAIRING MOBILITY - CHF
- DM WITH ENDORGAN DAMAGE
- MOD-SEVERE PULMONARY DISEASES
- SEVERE ARTHRITIS/FRACTURE CAUSING IMMOBILITY
- PVD IMPAIRING MOBILITY
12RISK FACTORS
- HTN
- DYSLIPIDEMIA
- CAD/PVD/MI/AAA
- TIA
- A.FIB
- DM WITHOUT END ORGAN DAMAGE
- PFO
Risk factors No. subject
0 1 0.6
1 16 9.1
2 55 31.4
3 65 37.5
4 31 17.7
5 7 4
13Investigations used per protocolin acute
situation
- CT scan brain
- CT STROKE PROTOCOL
- Doppler of carotids
- Further investigations as per need (if treatment
could be changed with further investigations)
14Per protocol investigations not followed
criteria
- When patient presents with stroke more than 6 hrs
or with unknown time both CT brain or stroke
study as well as MRI - When patients present after 3 hrs and CT and CTA
already shows ischemic stroke and did correspond
to clinical presentation, also had MRI/MRA - When already CT angio or doppler showed arterial
block, patient had MRA
15Investigations
- No correlation between NIH with the number of
investigations a subjects received. - No correlation between time of presentation with
the number of investigations a subjects received. - Mean NIH was similar in both the groups as seen
from t-test
- No of subjects who had investigations that did
not yield extra information that changed
management in this study was 58.
16OUTCOME STATS
- 64 SURVIVED STROKE
- 36 DIED AFTER CUTOFF TIME (DEATH
DIRECTLY/INDIRECTLY RELATED TO STROKE OR MAY NOT
RELATE TO STROKE) - FAVORABLE OUTCOME SEEN IN 86 PATIENTS
- POOR OUTCOME SEEN IN 89 PATIENTS
17Outcome stats
- There was no gender differences in the outcome
groups - More patients with dementia were in poor outcome
group - More patients with dysphagia were in poor outcome
groups - There was no significant correlation with atrial
fibrillation - Mean length of stay was about 2.6 days higher for
patients with poor outcome. P-value 0.04 (6.4
vs 9)
18OUTCOME VS STROKE SEVERITYP-VALUE OF T-TEST
0.000SIGNIFICANT DIFFERENCE IN OUTCOME
OUTCOME N MEAN STD. DEVIATION
NIH score FAVORABLE 86 5.25 3.84
NON FAVORABLE 89 12.89 6.8
19Outcome vs severity of stroke
- At about NIH 0f 8-9, data had more subjects with
poor outcome than favorable outcome - NIH correlates with outcome even after adjusting
for time after onset of symptoms till
presentation to ER. - NIH also correlates when adjusted for type of
treatment
20Outcome vs comorbidities
- Chi square test was used to associate number of
co-morbidities and outcome - There was a significant correlation between the
two. - P-value was 0.039
- There was no significant relation between risk
factors and outcome. -
21OUTCOME VS ONSET OF PRESENTATION
- Time of onset of symptoms did not correlate well
with outcome. - The above correlation was true even after
adjusting for severity of stroke. - Used chi square test.
22Outcome vs investigations
- There was no correlation between outcome and
investigations - Used chi square test and logistic regression.
- This is true even after accounting for severity
of stroke (NIH score) and co-morbid conditions. -
23LENGTH OF STAY AND INVESTIGATIONS
- Mean length of stay among those who got more
investigational tests was 9 days and among those
who had right amount of tests was about 6 days. - There was a statistically significant difference
between the two groups. - After correcting for severity of stroke, the LOS
was still statistically different between the two
groups.
24TREATMENT VS OUTCOME
- There was no statistically significant
correlation between mode of treatment and
outcome. - Even after adjusting for severity of stroke,
there was no significant correlation.
25TREATMENT VS OUTCOME
26Outcome vs functionality
FAVORABLE OUTCOME POOR OUTCOME
FIM (MEAN) 68 24
T-VALUE 16.01 (P-VALUE 0.0000) 16.01 (P-VALUE 0.0000)
- There is significant correlation with functional
independence and outcome
27conclusion
- Outcome of stroke among patients more than 80
depended on NIH, Comorbid conditions, dysphagia,
dementia. - Outcome depended on functional independence.
- Investigational studies did not decide outcome
- Length of stay was more among those with poor
outcome (difference of 3 days) - Cutting down on investigation could save more on
length of stay and could be used for functional
improvement of patient
28conclusion
- Patients presenting with NIH more than 9 mostly
had worse outcome. - Patients presenting after 3 hrs of onset of
symptoms or after unknown time, there may be no
requirement for more investigational studies than
just CT head, perfusion study and carotid
doppler.
29strengths
- Simple retrospective study
- Data from a good stroke center
- Well defined outcome criteria
- Well defined functional level of patients were
available in charts
30weaknesses
- Sample size
- Needs further definition of investigational tests
that did not help in change of treatment(Based on
stroke protocol, which was designed for all
stroke patients irrespective of age) - Need further analysis with regards above.
31references
- Guidelines for the Early Management of Patients
With Ischemic Stroke A Scientific Statement From
the Stroke Council of the American Stroke
Association Adams et al., Stroke.
2003341056-1083 - Recommendations for Imaging of Acute Ischemic
Stroke A Scientific Statement From the American
Heart Association. Latchaw et al., Stroke
2009403646-3678 originally published online
Sep 24, 2009
32references
- Shaw TG, Mortel KF, Meyers JS et al Cerebral
blood flow changes in benign aging and
cerebrovascular disease. Neurology 1984 34
855-862 - Falconer JA, Naughton BJ, Dunlop DD, Roth EJ,
Strasser DC, Sinacore JM Predicting stroke
inpatient rehabilitation outcome using a
classification tree approach. - Mauthe R., Haaf D., Hayn P., Krau J. Predicting
discharge destination of stroke patients using a
mathematical model based on six items from
Functional independent measure. Archives of
physical medicine and rehabilitation 1996 77
10-13. - Kelly-Hayes M, Robertson JT, Broderick JP,
Duncan PW, Hershey LA, Roth EJ, Thies WH, Trombly
CA. The American Heart Association Stroke
Outcome Classification Executive summary.
Circulation 1998 97 2474-2478.