Can Preoperative Assessment of Cancer in the Elderly PACE predict 30days postoperative outcome - PowerPoint PPT Presentation

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Can Preoperative Assessment of Cancer in the Elderly PACE predict 30days postoperative outcome

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POSSUM. P-POSSUM. Functional Assessment. CGA. MMS. Satariano's ... Assessment POSSUM/P POSSUM. Aims. 30 days morbidity. 30 days mortality. hospital bed days ... – PowerPoint PPT presentation

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Title: Can Preoperative Assessment of Cancer in the Elderly PACE predict 30days postoperative outcome


1
Can Pre-operative Assessment of Cancer in the
Elderly (PACE) predict 30days postoperative
outcome?
  • HSJ Ramesh, DP Pope, R Gennari, G Corsini, M
    Maffezzini,
  • HJ Hoekstra, D Mobarak, K Sunouchi, F Bozzetti,
    M Colledan,
  • H Wildiers,A Stotter, RA Audisio
  • Whiston Hosp, Un Liverpool, Milton Keynes Gen
    Hosp, Leicester Royal Inf UK
  • EIO, Un. of Genoa, Osp. Galliera, Osp. di Prato,
    Osp. Riuniti Bergamo Italy
  • Academic Hosp Groningen - the Netherlands
    Gasthuisberg Belgium
  • Kawakita Hosp Japan
  • SIOG Surgical Task Force

2
Background
  • Elderly population is expanding

Ageing risk factor for cancer
Elderly are treated sub-optimally
Selected surgical data available
Need for a tool to assess surgical risk
3
Predicting Surgical Outcomes
4
Operative Assessment
ASA
POSSUM P-POSSUM
5
Functional Assessment
MMS Satarianos (modified index) ADL IADL G
DS BFI
CGA
ECOG PS
6
Operative assessment tools

Functional assessment tools

PACE
7
Materials Methods
  • Prospective consecutive multi-centre study
  • July 2003 December 2005
  • Components
  • Interview with trial nurse 20 minutes
  • Anaesthesiologists Assessment ASA
  • Surg. Assessment POSSUM/P POSSUM

8
Aims
  • 30 days morbidity
  • 30 days mortality
  • hospital bed days

9
Eligibility
Inclusion gt 70 years Elective cancer
surgery (moderate/major and major )
Written informed consent
Exclusion Emergency Surgery MMS lt18
(consent giving)
10
Results - I
  • Total Patients 460
  • F M 1.9
  • Age (yrs) median 76.9
  • (69 95 yrs)
  • Cancer types
  • Breast 47.2 (217)
  • GIT 31.3 (144)
  • GUT 15.4 (71)
  • Miscellaneous 7.1 (28)
  • (HN, Gyn, STS, Pulm)

11
Results II
Co-morbidity 83 (346) Median n./pt 2.15 (1
-7)

Top five co-morbidities Hypertension 53.6
(246) Digestive diseases 22.0 (101) Heart
disease 21 (96) Arthrosis
Arthritis 19.2 (88) Vascular diseases 14.4 (66
)
12
Results III
Observed 30-days morbidity 37.8 (171) 65 74
yrs 34.4 (62) 75 84 yrs 42.1
(96) 85 28.9 (13)
Observed 30-days mortality 3.5 (16)
Median hospital stay 9 days (1 -14)
No significant difference by age groups was
observed for post surgical outcome
13
PACE morbidity
14
PACE morbidity multivariate analysis
15
Morbidity by PACE variables
16
PACE mortality
17
PACE Hospital stay
18
PACE Hospital Stay multivariate analysis
19
Hospital stay by PACE(5 days) variables
20
Conclusions I morbidity
  • PACE variables (significant)
  • PS (gt1) 2.9 x risk
  • IADL (dependency) 2.1 x risk
  • BFI 2.3 x risk
  • Not significant
  • MMS
  • GDS
  • ASA
  • ADL

21
Conclusions II Hospital stay
  • PACE variables associated with
  • prolonged hospital stay
  • IADL (dependent) x 1.64
  • BFI x 5.08
  • No PACE variable correlated with
  • Mortality (observed mortality small)

22
PACE - Preparing for future
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