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The SHIP Makes a Turn for VAE’s
Jodor A. Lim MD
PHICS
Objectives
• To review the SHIP data on Ventilator Associated
Pneumonia (VAP)
• To present the rationale for the change in VAP
definitions
• To present the revised VAE Protocol of the NHSN
• To define Ventilator Associated Conditions (VAC),
Infection-Related Ventilator-Associated
Complications (IVAC) and Possible Ventilator
Associated Pneumonia (PVAP)
S - Surveillance of
H - Hospital acquired
I - Infections in the
P - Philippines
S.H.I.P.
2014 Report
Infection Rates
Rates by device-days
*Catheter–associated UTI rate = # of UTI in pts with FC x 1000
# of FC days
*Central-line Assoc BSI rate = # of BSI in pt with cath x 1000
# of central line days
*Ventilator Assoc Pneu rate= # of PNEU in pt on Vent x 1000
# of ventilator days
Phic sing matters in infection control
SHIP
VAP/ 1000 Vent Days
2010 - 2013
0
2
4
6
8
10
12
14
16
VAP 2010 2011 2012 2013 SHIP NHSN INNIC
VAP 2010 2011 2012 2013 SHIP NHSN INNIC
11.4 11.6 10.72 11.06 11.2 2.2 14.7
SHIP
VAP/ 1000 Vent Days
Comparative Data
0
5
10
15
20
25
A B C GOV D E F G H I PVT 2013
2010-
2013
NHS
N
INNI
C
VAP 14.3 21.6 19.7 18 4.2 2.2 13.1 10.5 13.6 17.7 8.4 11.1 11.2 2.2 14.7
Summary
• Vent utilization – 0.48 (0.39 -.70 )
• Vent utilization – 50th percentile
• VAP rates alarming 11.06 per 1000 ventilator
days (4.17-21.62)
• Lower than 3rd world countries but beyond the
90th percentile of the US data
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
SHIP
VAP/ 1000 Vent Days
Comparative Data
0
5
10
15
20
25
A B C GOV D E F G H I PVT 2013
2010-
2013
NHS
N
INNI
C
VAP 14.3 21.6 19.7 18 4.2 2.2 13.1 10.5 13.6 17.7 8.4 11.1 11.2 2.2 14.7
0
5
10
15
20
25
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2014
AHMC 2014
VAP/1000 vent days
2.64 VAP/
1000 Vent
Days
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Phic sing matters in infection control
Will you join the SHIP in making a
turn?
• Is your hospital at least a 100 bed institution with
ICU’s?
• Are you a PHICS or PHICNA member?
• Do you want your hospital to join the surveillance
program?
• Can you convince your Hospital Director to allow
your hospital to share your surveillance data?
• Will you want to join the workshop on VAE’s?
• If the answer to all the questions above is YES,
submit your letter of intent to PHICS
Phic sing matters in infection control

More Related Content

Phic sing matters in infection control

  • 1. The SHIP Makes a Turn for VAE’s Jodor A. Lim MD PHICS
  • 2. Objectives • To review the SHIP data on Ventilator Associated Pneumonia (VAP) • To present the rationale for the change in VAP definitions • To present the revised VAE Protocol of the NHSN • To define Ventilator Associated Conditions (VAC), Infection-Related Ventilator-Associated Complications (IVAC) and Possible Ventilator Associated Pneumonia (PVAP)
  • 3. S - Surveillance of H - Hospital acquired I - Infections in the P - Philippines S.H.I.P. 2014 Report
  • 4. Infection Rates Rates by device-days *Catheter–associated UTI rate = # of UTI in pts with FC x 1000 # of FC days *Central-line Assoc BSI rate = # of BSI in pt with cath x 1000 # of central line days *Ventilator Assoc Pneu rate= # of PNEU in pt on Vent x 1000 # of ventilator days
  • 6. SHIP VAP/ 1000 Vent Days 2010 - 2013 0 2 4 6 8 10 12 14 16 VAP 2010 2011 2012 2013 SHIP NHSN INNIC VAP 2010 2011 2012 2013 SHIP NHSN INNIC 11.4 11.6 10.72 11.06 11.2 2.2 14.7
  • 7. SHIP VAP/ 1000 Vent Days Comparative Data 0 5 10 15 20 25 A B C GOV D E F G H I PVT 2013 2010- 2013 NHS N INNI C VAP 14.3 21.6 19.7 18 4.2 2.2 13.1 10.5 13.6 17.7 8.4 11.1 11.2 2.2 14.7
  • 8. Summary • Vent utilization – 0.48 (0.39 -.70 ) • Vent utilization – 50th percentile • VAP rates alarming 11.06 per 1000 ventilator days (4.17-21.62) • Lower than 3rd world countries but beyond the 90th percentile of the US data
  • 64. SHIP VAP/ 1000 Vent Days Comparative Data 0 5 10 15 20 25 A B C GOV D E F G H I PVT 2013 2010- 2013 NHS N INNI C VAP 14.3 21.6 19.7 18 4.2 2.2 13.1 10.5 13.6 17.7 8.4 11.1 11.2 2.2 14.7
  • 74. Will you join the SHIP in making a turn? • Is your hospital at least a 100 bed institution with ICU’s? • Are you a PHICS or PHICNA member? • Do you want your hospital to join the surveillance program? • Can you convince your Hospital Director to allow your hospital to share your surveillance data? • Will you want to join the workshop on VAE’s? • If the answer to all the questions above is YES, submit your letter of intent to PHICS