Differences at 10-year interval in geriatric features
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Transcript Differences at 10-year interval in geriatric features
Prescribing Omissions according to START and
related hospital admission in geriatric patients
O. Dalleur1, A. Spinewine2, S. Henrard3, C. Losseau4,
N. Speybroeck3, B. Boland3,4
1 Pharmacy and 4 Geriatric Medicine departments , St-Luc Hospital,
2 Louvain Drug Research Institute and CHU Mont-Godinne
3 Institute of Health and Society,
4ème Symposium du CRIV à Bruxelles
29 septembre 2011
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Introduction
Use of medicine in elderly patients is complex:
PK/PD
changes
Increased sensitivity to adverse drug events
Hospitalization risk
Many co-morbidities
Polymedication
Compliance issue
Inappropriate prescribing :
Overuse
Misuse
UNDERUSE
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Introduction
Explicit tools to detect inappropriate prescription
in elderly : Beers, Laroche, STOPP-START …
Under-prescription :
ACOVE
criteria
START = Screening Tool to Alert doctors to Right
Treatment
STOPP (Screening Tool of Older Person’s Prescriptions) and START (Screening Tool to Alert doctors to Right
Treatment). Consensus validation International Journal of Clinical Pharmacology and Therapeutics, Vol. 46 –
No. 2/2008 (72-83)
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Screening Tool of Older Persons' Potentially inappropriate Prescriptions Age and Ageing 2008; 37: 673–9
Introduction
STOPP&START
European
Consensus opinion of a panel of experts in
geriatric medicine, clinical pharmacology,
psychiatry of old age, pharmacy and general
practice.
>65y
START : 22 situations/comorbidities « at risk »
linked with 17 drugs
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START List : examples
Situation
Drugs to “start”
Chronic atrial fibrillation
Warfarin
or Aspirin where
warfarin is
contraindicated
Chronic heart failure
Angiotensin converting
enzyme
Patients taking maintenance corticosteroid Bisphosphonates
therapy
Diabetes mellitus with coexisting major
cardiovascular risk factors (hypertension,
hypercholesterolemia, smoking history)
Antiplatelet therapy
5
START List
Currently
Limited data on prevalence of
underprescribing according to START
No
data on the link with adverse clinical
outcomes
6
Purpose
To study the performance of START
(Screening Tool to Alert doctors to Right
Treatment)
in detecting prescribing omissions (PO) at
home
and related acute hospital admissions in frail
older people.
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Methods
Study: transversal retrospective study
Eligibility:
acute hospital admission (not in a geriatric unit) in 2008 in St
Luc
age ≥ 75 years
frailty score ISAR ≥ 2/6
CGA by the geriatric liaison team
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Methods
Data collection
geriatric
: social situation, functional/mental status,
nutrition
medical :
detailed medical history/comorbidities (including GFR)
drug list at home (prescription + OTC)
Main reason for admission
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Methods
Outcome measures
Prevalence of PO events at home
PO = prescribing omission = the patient does not receive a drug he/she
should receive according to START criteria
Events identified by screening of drug list according to
START criteria by a clinical pharmacist and a geriatrician
Multivariate analysis to identify risk factors
Link between PO and hospitalizations
By a clinical pharmacist and a geriatrician
Based on clinical judgement
Multivariate analysis to identify risk factors
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Results 1 : population characteristics
302 frail older people
Age 84 years ± 5; ♀ 61 %
Home 83 % (alone 43 %) vs. nursing home 17 %
ISAR score : 2 - 6 / 6 ; average 3,5 ± 1
Geriatric Syndromes
falls (58 %),
malnutrition (30 %),
cognitive decline (25 %),
depression (25 %)
Co-morbidities
hypertension (55 %),
ischemic CV diseases (40 %),
osteoporosis (26 %),
atrial fibrillation (25 %),
diabetes (23 %),
COPD (15 %)
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Results 2: drugs before admission
Drugs:
2.028 drugs (6±3)
> 5 drugs/day : 64 %
# drugs
60
# patients
50
40
30
20
10
0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
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Results 2: PO prevalence
Detection of 362 PO events
Prevalence 63 % (189/302) (>1 patient/ 2)
Distribution : 0 (37 %), 1 (29 %), 2 (19 %), ≥ 3 (15 %)
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Results 2 : PO according
to START
drug classes
Three medical conditions (ischemic disease,
diabetes, osteoporotic fracture) accounted for 52
% of all PO events.
The drugs which were the most frequently
omitted were:
aspirin
(prevalence = 21%),
statins (19%),
calcium and vitamin D (17%),
vitamin K antagonists (11%)
biphosphonates (10%).
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Results 2: drugs before admission
Multivariate analysis
PO significantly associated with :
diabetes [OR=13.1; 95% CI: 5-34]
atrial fibrillation [OR 7.9; 3.5-17.9]
osteoporotic fracture [OR 4.3; 2.0-9.2]
COPD [OR 3.8; 1.3-10.6]
ischemic disease [OR 2.3; 1.5-3.5]
No significant association was observed with any
geriatric syndrome.
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Results 3 : hospital admissions and
PO events
Hospital admission was related to PO
in 38 patients (13%)
38/189 having POs =1 patient/5
19 falls with fracture while not receiving
fracture prevention
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calcium, vitamin D, biphosphonate
cardiovascular problems
aspirin, statins, ACEI
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Results 3 : hospital admissions and
PO events
Multivariate analyses :
predictors of PO-related admission
previous osteoporotic fracture (p<0.001)
atrial fibrillation (p=0.004)
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Results 3 : hospital admissions and
PO events
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Conclusions
PO at home is too frequent in frail older
persons…
1 patient/2
Most frequent ones :
aspirin
statins
calcium and vitamin D
PO may have contributed to one in eight
acute hospital admissions
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Conclusions
Screening
for cardiovascular diseases
and fall history = essential
Pharmacological prevention
How to do better?
Gallagher : STOPP/START → prescribing appropriateness improvement in
older patients?
•Number needed to screen of 4.7 to yield improvement in AOU.
•Recommendation to apply STOPP/START screening to elderly patients’ prescription
every 6 months.
•Helping comprehensive data on the patients’ treatment and co-morbidities, the
application of the criteria to the patient’s treatments takes only a few minutes
Prevention of potentially inappropriate prescribing for elderly patients: a randomized controlled trial using STOPP/START criteria.
Gallagher PF, O'Connor MN, O'Mahony D.
Clin Pharmacol Ther. 2011 Jun;89(6):845-54.
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Results 3 : hospital admissions (n=302)
The most frequent main reasons for acute
hospital admission were
Cardio-respiratory symptoms : 115
Falls : 103
Abdominal reason : 38
Infection : 31
Other : 15
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