OP Poisoning Dr Samir Sahu Senior Consultant, Critical Care & Pulmonology, Apollo Hospitals.
Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.
-
Upload
rachel-haynes -
Category
Documents
-
view
218 -
download
2
Transcript of Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.
![Page 1: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/1.jpg)
Optimizing Antibiotics
Dr Samir Sahu
![Page 2: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/2.jpg)
![Page 3: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/3.jpg)
Time to Antimicrobial TherapyKHL
0 hrs 1-2 hrs
2-3 hrs
3-4 hrs
4-5 hrs
5-6 hrs
6-9 hrs
9-12 hrs
12-24 hrs
24-36 hrs
>36 hrs
0
5
10
15
20
25
30
35
No
![Page 4: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/4.jpg)
Time to Antimicrobial Therapy
• O hrs – 24• 1-2 hrs – 15• 2-3 hrs – 10• 3-4 hrs – 9• 4-5 hrs – 10• 5-6 hrs – 3• 6-9 hrs – 7• 9-12 hrs – 2• 12-24 hrs – 13• 24-36 hrs – 4• >36 hrs – 29
![Page 5: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/5.jpg)
Appropriate Antibiotics
• Appropriate therapy mean the first antibiotic that is actually prescribed and given to the patient.
• If the organism causing the infection is susceptible to it based on in vitro testing, it is an appropriate agent.
• If it is not susceptible, it is an inappropriate agent.
![Page 6: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/6.jpg)
![Page 7: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/7.jpg)
Severe Sepsis – 5/2006-6/2008
• Total cases – 369• Culture positive – 167• Appropriate –Total – 112(67%)
Survival-61/112(55%), Mortality- 51/112(45%)
• Inappropriate – Total – 55(33%), Survival - 27/55(49%), Mortality - 28/55(51%)
![Page 8: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/8.jpg)
Empiric Antibiotic Therapy
Total Appropriate Inappropiate0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
MortalitySurvival
![Page 9: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/9.jpg)
Empiric Antibiotic Therapy
Total Appropriate Inappropriate0
20
40
60
80
100
120
140
160
180
TotalSurvivalMortality
![Page 10: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/10.jpg)
![Page 11: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/11.jpg)
Inappropriate Antibiotic Therapy
E.coli
Pseudomonas
Klebsiella
Enterobac
ter
Acineto
bacter
MSS
AM
RSA
Enteroco
cci0
5
10
15
20
25
30
35
40
InappropriateAppropriate
![Page 12: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/12.jpg)
Inappropriate Antibiotic Therapy
• Klebsiella• Pseudomonas• MRSA• Enterococci• Acinetobacter
![Page 13: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/13.jpg)
![Page 14: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/14.jpg)
Epidemiology of Severe Sepsis KHL
• Year Total Mortality• 2004 – 62 (28) – 45%• 2005 – 87 (50) – 57.47%• 2006 – 149 (89) – 59.73%• 2007 – 142 (73) – 51.4%• 2008 – 51 (21) – 41%
![Page 15: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/15.jpg)
Epidemiology of Severe Sepsis & Septic Shock
2004 2005 2006 20070
20
40
60
80
100
120
140
160
survivalmortality
![Page 16: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/16.jpg)
Severe Sepsis/Septic Shock
• 2004 – 9/24(37.5%) 19/36(52%)• 2005 – 8/23(34.7%) 41/60(68%)• 2006 – 16/50(32%) 72/95(75%)• 2007 – 16/54(29.6%) 55/86(64%)
![Page 17: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/17.jpg)
Severe Sepsis/Septic Shock - Mortality
2004 2005 2006 20070
20
40
60
80
100
120
140
160
180
SepsisSeptic ShockSevere Sepsis
![Page 18: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/18.jpg)
![Page 19: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/19.jpg)
![Page 20: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/20.jpg)
How Antibiograms Can Assist in Choice of Therapy
Type of Therapy Description Use of AntibiogramsProphylaxis Antibiotics used to
prevent infectionSelection of antibiotic
Empiric Organism is unknown but syndrome is known
Selection of antibiotic or combinations of antibiotics
Pathogen-directed Organism is known but susceptibility is unknown
Selection of antibiotic
Susceptibility-guided Organism is known and susceptibility is known
Cumulative antibiogram not useful
![Page 21: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/21.jpg)
How Antibiograms Can Assist in Choice of Therapy
• In an individual institution or a unit within that institution, cumulative antibiotic susceptibility reports on multiple patients ("antibiograms") can be constructed in order to aid with appropriate antibiotic choice.
• The provision of cumulative antibiotic susceptibility reports (antibiograms) is particularly helpful for choosing empiric and pathogen-directed treatment regimens.
• The provision of antibiotic susceptibility reports on individual patients is clearly of use to ensure that antimicrobial treatment was adequate for the organism causing the infection. It also assists in antibiotic "streamlining" -- the process by which excessively broad-spectrum empiric antibiotic therapy can be switched to narrower spectrum therapy aimed only at the implicated pathogen(s).
![Page 22: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/22.jpg)
National and International Data on the Extent of Antibiotic Resistance
• It allows for a comparison of local data with national data to determine whether the extent of resistance is better or worse than national averages.
• It provides the ability to presage future trends in antibiotic resistance: If resistance is rising for a particular pathogen at a national level, it may be only a matter of time before resistance rates rise locally.
![Page 23: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/23.jpg)
Antibiogram
• Unit specific - antibiogram for a particular ICU helps create a clinical guideline for antibiotic selection in that unit.
• An antibiogram-based guideline does not have an unlimited duration of utility.
• It is prudent to update antibiograms and antibiogram-based antibiotic guidelines on a regular basis. A yearly review should be regarded as a bare minimum.
![Page 24: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/24.jpg)
suneeta / uti 2005-08 24
Urine Cultures :2005-2007 Organisms isolated
GRAM +VE• Staph. A • Enterococci
GRAM -VE• E. Coli • Pseudomonas • Klebsiella • Enterobact • Acinetobacter• Proteus
![Page 25: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/25.jpg)
• "How can clinicians obtain antibiograms that are meaningful to their patients?“
• An antibiogram for community-acquired E coli isolates from women with uncomplicated urinary tract infection is more likely to be useful in guiding therapy for an individual patient with uncomplicated urinary tract infection than is a hospital antibiogram for E coli.
![Page 26: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/26.jpg)
How to identify patients at risk for Gram negative MDR The risk stratification is based on 3 factors: 1) Contact w/ Health Care System2) Prior or not antibiotic use3) Patient Characteristics
Risk Stratification
Patients type 1 Patients type 2 Patients type 3
1)No contact with health care system2)No prior antibiotic treatment3)Patient young with few co-morbid conditions
1)Contact with health care system (e.g. recent hospital admission, nursing home, dialysis) without invasive procedure 2)Recent antibiotic therapy3)Patient old with multiple co-morbidities. ( > 60 years)
1)Long hospitalization and or invasive procedures2)Recent & multiple antibiotic therapies3)Patient characteristics: cystic fibrosis, structural lung disease, advanced AIDS, neutropenia, other severe immunodeficiency.
No risk of infection due to MDR Risk for infections due to MDR (ESBLs AmpC ) however Pseudomonas sp. / AB may not suspected
Risk factor for mono- or poly- microbial infections, suspected risk of infection due to Pseudomonas or Acinetobacter
![Page 27: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/27.jpg)
suneeta / uti 2005-08 27
Urine Cultures : ICU II(Jun-Dec 2007) Organisms isolated
GRAM +VE• Staph. A (7)• Enterococci(13)
GRAM -VE• E. Coli (15)• Pseudomonas(7)
• Klebsiella(3) • Enterobact er(3)
![Page 28: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/28.jpg)
suneeta / uti 2005-08 28
Urine Isolates ICU II – Jun-Dec 2007UTI with catheter(complicated)
E.coli Psedo Enterococci MSSA MRSA0
2
4
6
8
10
12
14
16
Urine isolates
Series 1
![Page 29: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/29.jpg)
suneeta / uti 2005-08 29
E.coli-ICU II(Jun-Dec 2007)
CA NT OF Im PT0
2
4
6
8
10
12
14
16
ResSen
![Page 30: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/30.jpg)
Urine - E.Coli Sensitivity ICU II (Jun-Dec 2007)
ICU KHL• CA – 20% 55%• NT – 60% 82%• OF – 6.5% 55%(Gat)• Im – 81% 99%• PT – 30% 99%• Cef/S 89%• NFT 95%• Such an antibiogram can be posted in ICU or be part of
a guidelines booklet for an institution or unit.
![Page 31: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/31.jpg)
suneeta / uti 2005-08 31
Enterococci – ICU II(Jun-Dec 2007)
AS OF VA TE0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
ResSen
![Page 32: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/32.jpg)
UTI due to Enterococci
• Patients with prior antibiotic use & catheterized outside
• Antibiotics to be used as Empiric choice are Ofloxacin(84%), Vancomycin(92%), Teicoplanin(100%)
![Page 33: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/33.jpg)
Recommendation for UTI
• The most common community acquired UTI is due to E.coli
• In the OPD setting(uncomplicated UTI) the antibiotics which can be used are NFT, Netlimycin (PT, IM, Cef/S)
• In the ICU setting(complicated UTI) the antibiotic of choice will be Imipenem + Teicoplanin to cover Enterococci & Staph
![Page 34: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/34.jpg)
Unit-Specific Antibiogram
• In ICUs unit-specific antibiograms help optimization of empiric antibiotic prescribing
• In patients with prolonged ICU stay (arbitrarily defined as ICU length of stay exceeding 14 days), empiric therapy may better be individualized on the basis of avoidance of antibiotics that the patient has previously received.
• A second principle is avoidance of antibiotics to which colonizing organisms are known to be resistant.
![Page 35: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/35.jpg)
Dialysis Catheter tips 2007-08
Category 10
2
4
6
8
10
12
14
16
MRSAMSSAEnterococciKlebsiellaPseudoAcineto
![Page 36: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/36.jpg)
Dialysis Catheter – Staph aureas
Staph aureas0
5
10
15
20
25
30
OxacilinOfloxacinVancoTeico
![Page 37: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/37.jpg)
ESBLs
• Resistance of K pneumoniae or E coli to third-generation cephalosporins is actually defined as nonsusceptibility to either aztreonam or third-generation cephalosporins, and is a surrogate marker for the production of extended-spectrum beta lactamases (ESBLs)
![Page 38: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/38.jpg)
Local Susceptibility DataResistance Gm-ve - KHL
Amik L/G PipT Imi/Mer
03/ 04/ 05 03/04/05 03/04/5 03/04/05
• E.coli: 45/0-10/10 10/10/40 6/5 /.7 2/5 /.2
• Kleb.: 40/8-35/17 10/10/30 3/5/0 3/5/ 0• Pseudo 45/5-28 10/10 1/5 10/5• Enterob: 35/5-10 /10 /5 /5
Severe Sepsis :
Meropenem/Imipenem>Piptaz> >Amikacin
![Page 39: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/39.jpg)
E.coli- KHL
Amikacin CA Gatifloxacin Cef+sul PIPTaz Imipenem0
20
40
60
80
100
120
20032004200520062007
![Page 40: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/40.jpg)
Avoidance of Unnecessary Admn. De-escalation
• De-escalate (narrow the spectrum) once organism & susceptibility is known. - minimizes development of resistant pathogens - contains cost - prevents superinfection (candida)
- only done 1/3rd of times(22%) – increased to 70% by education
• Antibiotic regimen should be re-assessed after 48-72hours.
Grade E
![Page 41: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/41.jpg)
De-escalation
• Decreasing the number and/or spectrum of antibiotics, possibly based on culture and sensitivity results
• Shortening the duration of therapy in patients with uncomplicated infections who are demonstrating signs of clinical improvement
• Discontinuing antibiotics in patients who have a noninfectious etiology identified for the patient's signs and symptoms
![Page 42: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/42.jpg)
De-escalation
• Formal Protocols and Guidelines. Antibiotic practice guidelines or protocols have emerged as a potentially effective means of both avoiding unnecessary antibiotic administration and increasing the effectiveness of prescribed antibiotics
• Several recently published guidelines for the antibiotic management of nosocomial pneumonia and severe sepsis recommend the discontinuation of empiric antibiotic therapy after 48-72 hours if cultures are negative or the signs of infection have resolved.
![Page 43: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/43.jpg)
Pk/Pd• The duration of time (T) that the serum drug concentration remains above the
minimum inhibitory concentration (MIC) of the antibiotic (T > MIC) enhances bacterial eradication with beta lactams, carbapenems, monobactams, glycopeptides, and oxazolidinones.
• Frequent dosing, prolonged infusion times, or continuous infusions can increase the T > MIC and improve clinical and microbiological cure rates. In order to maximize the bactericidal effects of aminoglycosides, clinicians must optimize the maximum drug concentration (Cmax) to the MIC ratio. A Cmax:MIC ratio of ≥ 10:1 with once-daily aminoglycoside dosing (5-7 mg/kg) has been associated with preventing the emergence of resistant organisms, improving clinical response to treatment, and avoiding toxicity.
• The 24-hour area under the antibiotic concentration curve to the MIC ratio (AUIC) is correlated with fluoroquinolone efficacy and prevention of resistance development. An AUIC value of > 100 has been associated with a significant reduction in the risk for resistance development while on therapy.
• As a general rule, clinicians should use the greatest approved dose of an antibiotic employed for a potentially life-threatening infection in order to optimize tissue concentrations of the drug and killing of pathogens.
![Page 44: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/44.jpg)
Empiric Antibiotic Selection
• Appropriate empiric antibiotic selections can be made if the likely pathogens (and their susceptibility profiles) at any particular infection site are known. Cumulative antibiotic susceptibility reports on multiple patients (antibiograms) or national susceptibility data can be useful in guiding empiric antibiotic therapy.
• Additionally, empiric antibiotic selection should be individualized by taking into account recent antibiotic use and known bacterial colonization status. For example, specific antibiotics should not be used if they have been administered to the patient. Additionally, if a patient is known to have been colonized with highly resistant organisms, the antibiotic choice should be modified to reflect this.
![Page 45: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/45.jpg)
Treatment AlgorithmPatients Type 1 Patients Type 2 Patients Type 3
Treatment Algorithm
Suggestions / RecommendationsSend a culture before starting antibiotic
Send a culture before starting antibiotic
Send a culture before starting antibiotic
Approach
Infections suspected due to susceptible pathogens
Infections suspected due to ESBLs but not Pseudomonas.
De-Escalation
De-Escalation De-Escalation
Ertapenem ( Group 1 Carbapenem)
Imipenem / Meropenem ( Which ever shows higher susceptibility)
Ampicllin / Amoxicillin or Amoxiclav Cephalaxin or Cefuroxime
After culture report: A. De-Escalate to other antibiotic due to non ESBL infections. B. Continue for infections due to ESBLs. C. Escalate to Anti-Pseudomonal AB eg Imipenem.
After the culture report: A. De-Escalate to other
antibiotic due to non ESBL infections.
B. De-escalate to Ertapenem for infectiond due to ESBLs.
C. Continue for infections due to non-fermenters.
![Page 46: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/46.jpg)
Sepsis/Septic Shock
• Usual organism – aerobic Gm –ve, Staph• IMP/MER or PIP-TZ + TEI/VAN
The Sanford Guide to Antimicrobial Therapy 2008
![Page 47: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/47.jpg)
Surgical Prophylaxis
• Single dose 1-2 hr before incision• Surgery > 3 hrs additional doses
intraoperatively not extending 24 hrs
![Page 48: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/48.jpg)
Summary
• Antimicrobial resistance is a common variable influencing antibiotic prescription decisions and clinical outcomes.
• Clinicians must be able to balance the need to provide appropriate antimicrobial treatment to patients while minimizing the further development of resistance.
• The practice of antimicrobial de-escalation should be employed to accomplish this difficult but important balance.
![Page 49: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/49.jpg)
Summary
• The hospital or unit antibiogram (that is, the cumulative antibiotic susceptibility report) and national surveillance data are key guides to the selection of antibiotics for empiric antimicrobial therapy.
• Antibiotic choice must be individualized, and patients with serious or life-threatening infections should receive initial broad-spectrum therapy that is subsequently narrowed when pathogen identity and susceptibility results become available allowing pathogen-directed therapy.
• Appropriate Antibiotic should be given within 1 hr of admission
![Page 50: Optimizing Antibiotics Dr Samir Sahu. Time to Antimicrobial Therapy KHL.](https://reader035.fdocuments.in/reader035/viewer/2022062421/56649dfe5503460f94ae66c5/html5/thumbnails/50.jpg)
Antibiotic Audit
Ceftriaxo
ne
Ceftazidim
e
Cef/Sul
Ofloxacin
Amikacin
Im+M
ero
Piptazo
0
1000
2000
3000
4000
5000
6000
7000
8000
2006-072007-08