myths and misconceptions in the …administrative), but lacking vital data e.g. antibiotic...

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S U R V I V I N G S E P S I S C O O K B O O K S E P S I S M A D E E A S Y S E P S I S I S A P I E M E R V Y N S I N G E R B L O O M S B U R Y I N S T I T U T E O F I N T E N S I V E C A R E M E D I C I N E U N I V E R S I T Y C O L L E G E L O N D O N , U K M YTHS AND MISCONCEPTIONS IN THE MANAGEMENT OF SEPSIS

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Page 1: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

SUR

VIVIN

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SEPSIS M

ADE EASY

SEP

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S IS A P

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M E R V Y N S I N G E R B L O O M S B U R Y I N S T I T U T E O F I N T E N S I V E C A R E M E D I C I N E

U N I V E R S I T Y C O L L E G E L O N D O N , U K

MYTHS AND MISCONCEPTIONS IN THE MANAGEMENT OF SEPSIS

Page 2: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

D I S C U S S I O N P O I N T S . .

Page 3: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

D I S C U S S I O N P O I N T S . .

• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

Page 4: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

I N D I V I D U A L S V E R S U S P O P U L A T I O N S

Page 5: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Patients do NOT necessarily follow the rule book

• MUST tailor therapy to the individual

• Guidelines should NOT be used as rigid protocols/rules of stone

• Clinical expertise is VITAL

I N D I V I D U A L S V E R S U S P O P U L A T I O N S

Page 6: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Patients do NOT necessarily follow the rule book

• MUST tailor therapy to the individual

• Guidelines should NOT be used as rigid protocols/rules of stone

• Clinical expertise is VITAL

.. not my words, but David Sackett’s

I N D I V I D U A L S V E R S U S P O P U L A T I O N S

Page 7: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 8: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 9: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

Q U A L I T Y - O R L A C K - O F E V I D E N C E

Page 10: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Overall evidence base for sepsis is - sadly - rather weak

• Only a few awarded ‘high’ quality (but generally ‘do nots’ rather than ‘do’s’)

Q U A L I T Y - O R L A C K - O F E V I D E N C E

Page 11: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Need decent evidence to confirm need to change

• For example, Rivers showed EGDT was beneficial in 2001 .. but why?

D O G M A S H O U L D N ’ T R U L E …

Page 12: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Need decent evidence to confirm need to change

• For example, Rivers showed EGDT was beneficial in 2001 .. but why?

D O G M A S H O U L D N ’ T R U L E …

Page 13: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Need decent evidence to confirm need to change

• For example, Rivers showed EGDT was beneficial in 2001 .. but why?

D O G M A S H O U L D N ’ T R U L E …

Page 14: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Need decent evidence to confirm need to change

• For example, Rivers showed EGDT was beneficial in 2001 .. but why?

D O G M A S H O U L D N ’ T R U L E …

Page 15: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Need decent evidence to confirm need to change

• For example, Rivers showed EGDT was beneficial in 2001 .. but why?

D O G M A S H O U L D N ’ T R U L E …

Page 16: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 17: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 18: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 19: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Identify patient early

• Treat promptly and appropriately

• .. but the specific Rivers’ protocol doesn’t seem to

offer any overall added benefit

T A K E - H O M E M E S S A G E

Page 20: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

L O W E S T C O M M O N D E N O M I N A T O R ?

Standardised mortality ratiogood performing

hospitals

not-so-good performing hospitals

Page 21: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

L O W E S T C O M M O N D E N O M I N A T O R ?

Standardised mortality ratiogood performing

hospitals

not-so-good performing hospitals

? rigid protocol application

Page 22: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

L O W E S T C O M M O N D E N O M I N A T O R ?

Standardised mortality ratiogood performing

hospitals

not-so-good performing hospitals

? rigid protocol application

? rigid protocol application

Page 23: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

L O W E S T C O M M O N D E N O M I N A T O R ?

Standardised mortality ratiogood performing

hospitals

not-so-good performing hospitals

? rigid protocol application

? rigid protocol application

Page 24: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

Guidelines are often taken too literally by:

• clinical zealots

• institutions

• governments

B U T … .

Page 25: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

Guidelines are often taken too literally by:

• clinical zealots

• institutions

• governments

.. with financial penalties or ‘name-and-shame’ for non-compliance

B U T … .

Page 26: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Use guidelines/protocols as an aide memoire

• .. but not rules of stone

• Don’t be afraid to deviate .. but be able to justify why

T A K E - H O M E M E S S A G E

Page 27: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

D I S C U S S I O N P O I N T S . .

Page 28: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

T H E I N T E R V E N T I O N . . O R T A R G E T E D E N D P O I N T . . M U S T B E R A T I O N A L F O R E V E R Y O N E

Page 29: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 30: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 31: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 32: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 33: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

S O W H Y TA R G E T A P O P U L AT I O N ,

A N D N O T A N I N D I V I D U A L ! ! ! ! !

Page 34: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 35: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 36: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 37: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 38: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

T A K E - H O M E M E S S A G E

Page 39: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Titrate to the individual e.g. what BP suits them? MAP 55-60 or 75-80?

T A K E - H O M E M E S S A G E

Page 40: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Titrate to the individual e.g. what BP suits them? MAP 55-60 or 75-80?

• Titrate to a goal

• if a patient needs fluid (if hypovolaemia -> hypoperfusion), give fluid

• if not hypovolaemic and hypoperfused, don’t give fluid

T A K E - H O M E M E S S A G E

Page 41: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Titrate to the individual e.g. what BP suits them? MAP 55-60 or 75-80?

• Titrate to a goal

• if a patient needs fluid (if hypovolaemia -> hypoperfusion), give fluid

• if not hypovolaemic and hypoperfused, don’t give fluid

• Avoid excess - too much fluid, too much oxygen, too much catecholamine …

T A K E - H O M E M E S S A G E

Page 42: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

D I S C U S S I O N P O I N T S . .

Page 43: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

I N T E R E S T I N G F A C T S - 1

Page 44: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Multiple papers - including EVERY prospective study I’m aware of -

do NOT show a correlation between a short-term delay in

administering antibiotics and mortality

I N T E R E S T I N G F A C T S - 1

Page 45: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

I N T E R E S T I N G F A C T S - 2

Page 46: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Studies claiming ‘every hour counts’ are all based on retrospective

analyses of databases collected for other reasons (usually

administrative), but lacking vital data e.g. antibiotic sensitivities

I N T E R E S T I N G F A C T S - 2

Page 47: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Studies claiming ‘every hour counts’ are all based on retrospective

analyses of databases collected for other reasons (usually

administrative), but lacking vital data e.g. antibiotic sensitivities

• .. and use complex adjustments to find a mortality difference

I N T E R E S T I N G F A C T S - 2

Page 48: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Studies claiming ‘every hour counts’ are all based on retrospective

analyses of databases collected for other reasons (usually

administrative), but lacking vital data e.g. antibiotic sensitivities

• .. and use complex adjustments to find a mortality difference

• .. and often incorporate very delayed treatment (>6h) into the analysis

I N T E R E S T I N G F A C T S - 2

Page 49: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Studies claiming ‘every hour counts’ are all based on retrospective

analyses of databases collected for other reasons (usually

administrative), but lacking vital data e.g. antibiotic sensitivities

• .. and use complex adjustments to find a mortality difference

• .. and often incorporate very delayed treatment (>6h) into the analysis

• .. and often lack biological plausibility

I N T E R E S T I N G F A C T S - 2

Page 50: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Studies claiming ‘every hour counts’ are all based on retrospective

analyses of databases collected for other reasons (usually

administrative), but lacking vital data e.g. antibiotic sensitivities

• .. and use complex adjustments to find a mortality difference

• .. and often incorporate very delayed treatment (>6h) into the analysis

• .. and often lack biological plausibility

• .. and cannot explain why there was a delay in treatment in some

I N T E R E S T I N G F A C T S - 2

Page 51: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 52: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

7.6% decrease in survival per hour of delay

Survival

Page 53: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

7.6% decrease in survival per hour of delay

Survival

Page 54: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 55: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 56: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 57: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 58: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 59: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

Survival

Page 60: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)n=2154

Survival

Page 61: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)n=2154

Survival

Page 62: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

time following hypotension (hours)

n=558

n=2154

Survival

Page 63: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 64: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 65: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 66: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 67: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

0

15

30

45

60

0-1 1-2 2-3 3-4 4-5 5-6 >6

EDWardICU

Mortality (%)

Time to antibiotic (hr)

Page 68: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

0

15

30

45

60

0-1 1-2 2-3 3-4 4-5 5-6 >6

EDWardICU

Mortality (%)

Time to antibiotic (hr)

Page 69: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

0

15

30

45

60

0-1 1-2 2-3 3-4 4-5 5-6 >6

EDWardICU

Mortality (%)

Time to antibiotic (hr)

Page 70: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

0

15

30

45

60

0-1 1-2 2-3 3-4 4-5 5-6 >6

EDWardICU

Mortality (%)

Time to antibiotic (hr)

Page 71: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

0

15

30

45

60

0-1 1-2 2-3 3-4 4-5 5-6 >6

EDWardICU

Mortality (%)

Time to antibiotic (hr)

Page 72: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

0

15

30

45

60

0-1 1-2 2-3 3-4 4-5 5-6 >6

EDWardICU

Mortality (%)

Time to antibiotic (hr)

Page 73: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 74: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• 1373 ICU patients between 2006-13 coded as septic/septic shock

Page 75: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• 1373 ICU patients between 2006-13 coded as septic/septic shock

Page 76: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• 1373 ICU patients between 2006-13 coded as septic/septic shock

Page 77: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• 1373 ICU patients between 2006-13 coded as septic/septic shock

Page 78: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 79: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 80: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 81: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 82: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 83: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 84: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 85: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 86: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 87: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 88: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 89: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 90: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

… and no data on antibiotic sensitivities, adequacy of dosing, source control, etc..

Page 91: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 92: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

.. yet 45% of patients (early and late treated) had ‘septic shock’!!

Page 93: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 94: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R
Page 95: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

82.5% of pts

2% of pts

Page 96: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

22.6% †

23.6% †

82.5% of pts

2% of pts

Page 97: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

2% of pts

82.5% of pts

15.5% of pts

Page 98: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

2% of pts

82.5% of pts

15.5% of pts

Page 99: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

2% of pts

82.5% of pts

15.5% of pts

Page 100: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

2% of pts

82.5% of pts

15.5% of pts

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P R O S P E C T I V E S T U D I E S S H O W N O D I F F E R E N C E

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P R O S P E C T I V E S T U D I E S S H O W N O D I F F E R E N C E

• Often designed to specifically look at impact of antibiotics on outcomes

• None show an ‘each-hour-delay-kills’ signal

• Puskarich, CCM 2011 septic shock (ED)

• Hranjec, Lancet Infect Dis 2012 sepsis/septic shock (ICU)

• Kaasch, Infection 2013 S aureus bacteraemia (Ward/ICU)

• Bloos, Crit Care 2014 sepsis/septic shock (ICU)

• De Groot, Crit Care 2015 ED sepsis/septic shock (ED)

• Fitzpatrick, Clin Microbiol Infect 2016 Gm -tive bacteraemia (Ward)

• Alan, Lancet Respir Dis 2018 sepsis (pre-hospital ED)

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• prospective observational study in 3 Dutch EDs

• hospitalized ED patients requiring iv antibiotics

• stratified by illness severity (low, intermediate, high)

• time to antibiotics <1 hour vs 1-3 hours v >3 hours

• 1168 patients enrolled - overall mortality 10%

• 85% received antibiotics within 3 hours, 95% within 6 hours

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• No association between time to a/b and surviving days

outside hospital or mortality

• In low illness severity group, delayed (>3h) antibiotics

associated with more surviving days outside hospital (HR

1.46 (95%CI 1.05-202)

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• 2672 patients randomised to receive pre-hospital antibiotics (ceftriaxone 2g)

from paramedics on suspicion of sepsis OR start antibiotics in ED

• Mean 96 minute difference in time to administration of antibiotics

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T A K E - H O M E M E S S A G E

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T A K E - H O M E M E S S A G E

• Every second doesn’t count .. but

reasonable/rational to treat sepsis

and septic shock promptly

• Rather than simply throwing

antibiotics at the patient, apply

some thought, seek advice, and

think source control

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• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

D I S C U S S I O N P O I N T S . .

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• 6 month audit in University hospital medical-surgical ICU

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• 6 month audit in University hospital medical-surgical ICU

• 113 bacteraemia episodes in 87 patients

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• 6 month audit in University hospital medical-surgical ICU

• 113 bacteraemia episodes in 87 patients

• Short-course monotherapy (4-5 days) used in 65.7%

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• 6 month audit in University hospital medical-surgical ICU

• 113 bacteraemia episodes in 87 patients

• Short-course monotherapy (4-5 days) used in 65.7%

• Low rates of bacteraemia breakthrough/relapse

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• 6 month audit in University hospital medical-surgical ICU

• 113 bacteraemia episodes in 87 patients

• Short-course monotherapy (4-5 days) used in 65.7%

• Low rates of bacteraemia breakthrough/relapse

• Very low incidence of antimicrobial resistance or fungaemia

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• 6 month audit in University hospital medical-surgical ICU

• 113 bacteraemia episodes in 87 patients

• Short-course monotherapy (4-5 days) used in 65.7%

• Low rates of bacteraemia breakthrough/relapse

• Very low incidence of antimicrobial resistance or fungaemia

• Less ICU-acquired MRSA, MDR Gram -tives, VRE and

fluconazole-resistant candidaemia c/f similar audit in 2000

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fluconazole-resistant

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fluconazole-resistant

methicillin-resistant

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fluconazole-resistant

methicillin-resistant

VRE

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MDR

fluconazole-resistant

methicillin-resistant

VRE

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MDR

fluconazole-resistant

methicillin-resistant

VRE

no fluconazole-resistance

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MDR

fluconazole-resistant

methicillin-resistant

VRE

no fluconazole-resistance

1 VRE

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MDR

fluconazole-resistant

methicillin-resistant

VRE

no fluconazole-resistance

1 VRE

no MRSA

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MDR

fluconazole-resistant

methicillin-resistant

VRE

no fluconazole-resistance

1 VRE

no MRSA

no MDR

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4 vs 8 days

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• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

D I S C U S S I O N P O I N T S . .

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300,270

781,725

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118,676

213,124300,270

781,725

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118,676

213,124300,270

781,725

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118,676

213,124300,270

781,725

??? under-reported

??? over-reported

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Page 158: MYTHS AND MISCONCEPTIONS IN THE …administrative), but lacking vital data e.g. antibiotic sensitivities • .. and use complex adjustments to find a mortality difference I N T E R

• Guidelines should be slavishly followed

• One size fits all

• Every hour of antibiotic delay kills

• How long should a course of antibiotics last?

• Sepsis mortality is improving

• Why do people die of sepsis?

D I S C U S S I O N P O I N T S . .

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M A I N T A I N I N G A S E N S E O F P R O P O R T I O N …

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M A I N T A I N I N G A S E N S E O F P R O P O R T I O N …

▪ 34 million antibiotic prescriptions by English GPs in 2015-6

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M A I N T A I N I N G A S E N S E O F P R O P O R T I O N …

▪ 34 million antibiotic prescriptions by English GPs in 2015-6

▪ 1.3 million hospital patient episodes with a sepsis/infection code in England p.a.

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M A I N T A I N I N G A S E N S E O F P R O P O R T I O N …

▪ 34 million antibiotic prescriptions by English GPs in 2015-6

▪ 1.3 million hospital patient episodes with a sepsis/infection code in England p.a.

▪ .. with 32,300 in-hospital deaths = 2.5% mortality rate

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M A I N T A I N I N G A S E N S E O F P R O P O R T I O N …

▪ 34 million antibiotic prescriptions by English GPs in 2015-6

▪ 1.3 million hospital patient episodes with a sepsis/infection code in England p.a.

▪ .. with 32,300 in-hospital deaths = 2.5% mortality rate

▪ BUT … only 11,000 cases of sepsis had an ICU admission

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D O A L L S E P T I C P A T I E N T S W A R R A N T

L I F E - P R O L O N G I N G T R E A T M E N T ? ? ?

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“Pneumonia is the old man’s friend” - Sir William Osler

Patients may be allowed to die from sepsis due to the severity

of their underlying comorbidity - terminal cancer, severe stroke,

end-stage chronic organ failure, severe dementia …

D O A L L S E P T I C P A T I E N T S W A R R A N T

L I F E - P R O L O N G I N G T R E A T M E N T ? ? ?

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0

200000

400000

600000

800000

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ HOSPITAL ADMISSIONS IN ENGLAND 2011-17N

Age

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0

200000

400000

600000

800000

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ HOSPITAL ADMISSIONS IN ENGLAND 2011-17N

Age

Mortality (%)

0

10

20

30

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ MORTALITY 2011-17

Age

456

115

113

208

306

396

603

933

1812

3196

5165

8359

1470

8

2476

7

3527

0

5562

6

8254

4

9592

5

9803

9

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0

200000

400000

600000

800000

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ HOSPITAL ADMISSIONS IN ENGLAND 2011-17N

Age

Mortality (%)

0

10

20

30

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ MORTALITY 2011-17

Age

456

115

113

208

306

396

603

933

1812

3196

5165

8359

1470

8

2476

7

3527

0

5562

6

8254

4

9592

5

9803

9

77.5% OF DEATHS

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0

200000

400000

600000

800000

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ HOSPITAL ADMISSIONS IN ENGLAND 2011-17N

Age

Mortality (%)

0

10

20

30

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+

‘SUSPICION OF SEPSIS’ MORTALITY 2011-17

Age

456

115

113

208

306

396

603

933

1812

3196

5165

8359

1470

8

2476

7

3527

0

5562

6

8254

4

9592

5

9803

9

77.5% OF DEATHS 8% OF DEATHS

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Dementia?Stroke?Other severe disability?

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Dementia?Stroke?Other severe disability?

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C O N C L U S I O N

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• Apply physiology to patient management

C O N C L U S I O N

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• Apply physiology to patient management

• Personalization not rigid protocolization

C O N C L U S I O N

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• Apply physiology to patient management

• Personalization not rigid protocolization

• Challenge dogma based on weak/contrived evidence

C O N C L U S I O N

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• Apply physiology to patient management

• Personalization not rigid protocolization

• Challenge dogma based on weak/contrived evidence

• Sepsis only constitutes a small proportion of infection … but should be

identified and acted upon promptly .. but with some thought applied

C O N C L U S I O N

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• Apply physiology to patient management

• Personalization not rigid protocolization

• Challenge dogma based on weak/contrived evidence

• Sepsis only constitutes a small proportion of infection … but should be

identified and acted upon promptly .. but with some thought applied

C O N C L U S I O N