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Prognosticating Dr Colin Mitchell

Prognosticating for Elderly Patients

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An interactive talk on prognosis / frailty assessment tools, the commonalities and key factors, and misconceptions about assessing prognosis in elderly people. Relies heavily on ePrognosis.org - a great site!

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Page 1: Prognosticating for Elderly Patients

PrognosticatingDr Colin Mitchell

Page 2: Prognosticating for Elderly Patients

Prognosis in the Elderly

Truth or Falsehood?Predicting prognosis in frail elderly is a fool’s errand

Comorbidities are the best predictor

Most estimates are based on white Americans

Prognosis correlates with frailty

Page 3: Prognosticating for Elderly Patients

Inpatient Mortality

You have just clerked Mrs McRory72 years old, admitted with inf exac COPD

History of PMR. Ex smoker. No home nebs/O2

Rx: inhalers, calcium & vit D

Usually mobile with a stick, currently needs A of 1

U&E at baseline, Creat 100. Alb 31.

Page 4: Prognosticating for Elderly Patients

What is Mrs McRory’s 1yr Mortality?

Please discuss with your immediate neighbour and predict what % chance she has of death in the next year.

Then we’ll compare with the Inouye scale

Page 5: Prognosticating for Elderly Patients

The Inouye Scale

Mrs McRory’s 1yr mortality would be 32%

She scores a point for:

• Chronic Lung Disease

• Albumin <35

• Unable to mobilise unaided

=3/7

Other points for

• Comorbidities (up to 3)

• Creatinine >135

• Dementia

The Inouye scale is:

Based on ~500 admissions, validated on 1200

77% accurate (ROC curve 0.77)

Page 6: Prognosticating for Elderly Patients

Inpatient Mortality 2

You are about to discharge Mr Khan home76 years old, admitted with inf exac COPD

Previously living independently, now has once-daily POC for help with washing/dressing

U&E at baseline, Creat 160. Albumin 29

Page 7: Prognosticating for Elderly Patients

What is Mr Khan’s 1yr Mortality?

Please discuss with your immediate neighbour and predict what % chance he has of death in the next year.

Then we’ll compare with the Walter / Covinsky scale

Page 8: Prognosticating for Elderly Patients

What is Mr Khan’s 1yr Mortality?

Please discuss with your immediate neighbour and predict what % chance he has of death in the next year.

Then we’ll compare with the Walter / Covinsky scale

Actually, let’s make it a bit different…

Page 9: Prognosticating for Elderly Patients

Inpatient Mortality 2a

You are about to discharge Mr Khan home76 years old, admitted with inf exac COPD & CRF

Previously living independently, now has once-daily POC for help with washing/dressing

U&E at baseline, Creat 330. Albumin 29

Page 10: Prognosticating for Elderly Patients

The Walter / Covinsky ScaleMr Khan’s 1yr mortality was 34%

He scores for:

• Help with 2 PADLs (+2)

• Albumin <30 (+2)

• Male sex

=5/17

But add CRF (Creat >300, +2), mortality 64%

Other points for

• Cancer (solitary +3, metastatic +8)

• Heart failure (+2)

The Walter / Covinsky scale is:

Based on ~1500 discharges, validated internally & externally

79% accurate (ROC curve 0.79)

Page 11: Prognosticating for Elderly Patients

Community-Dweller Mortality

You have just seen Mr Gordon for clinic F/UReferred for investigation of dyspnoea, improved.

80 years old. Ex smoker. BMI 21.

Normal CXR & PFTs. Echo: Mild LVSD

Rx: Enalapril 10mg, Bisoprolol 2.5mg

Largely independent.

Now able to walk 1 mile, can lift boxes

Mild memory problems, son now manages finances. AMT 8/10

Page 12: Prognosticating for Elderly Patients

What is Mr Gordon’s 4 year mortality?

Please discuss with your immediate neighbour and predict what % chance he has of death in the next 4 years.

Then we’ll compare with the Covinksy / Lee index

Page 13: Prognosticating for Elderly Patients

The Lee / Covinsky ScaleMr Gordon’s 4yr mortality is 34%

He scores for:

• Age 80 (+5 as baseline is 50 years old)

• Male sex

• BMI <25

• CCF (+2)

• Needs help managing finances (+2)

= 11

Other points for:

Diabetes, Cancer (+2)

Current smoking

Needs help with washing/dressing (+2)

Can’t walk several blocks (+2) or move a chair (+2)

The Lee / Covinsky scale is:

Based on ~12 000 people, validated on 8000

82% accurate (ROC curve 0.82)

Page 14: Prognosticating for Elderly Patients

Take home messages

You can predict prognosisor at least odds of dying

There are validated toolsThey’re the same tools we use to judge frailty

Key factors:Age (in community dwellers), sex, smoking

Being underweight

Comorbidities, especially CA and cardioresp

Creatinine & albumin

Function & mobility

Admission to hospital

Page 15: Prognosticating for Elderly Patients

www.ePrognosis.org