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Table 2 Study characteristics, graded by risk-of-bias tool with highest quality studies reported at the top of table. 2012–2016

From: Using the best available data to estimate the cost of antimicrobial resistance: a systematic review

Author (year)

Country

Year of data used

Organism

Site of infection

Comparator (n)

Adjustment for prior LOS or time dependence

Adjustment for disease severity

Adjustment for inappropriate antibiotic use

Stewardson (2016)

10 EU countries

2010–2011 [24]

Enterobacteriaceae S. auerus

BSI

MSSA (885)

MRSA(163)

3GCSE(2100)

3GCRE (360)

Fully adjusted for at the analysis stage using multi-state modelling

Comorbid conditionscalculated and adjusted in model

No

Stewardson (2013)

Switzerland

2009 [25]

Enterobacteriaceae BSI

Non-ESBL (96)

ESBL+ (30)

Fully adjusted for at the analysis stage using multi-state modelling

Data collected but not adjusted in model

Uncertain if adjusted in model

Neidell (2012)

USA

2006–2008 [26]

S. aureus, Enterococcus, KP, PA

BSI, UTI, Lower RTI

Susceptible (3880)

Resistant (1819)

Partially adjusted for at the analysis stage using nearest neighbour matching, based on propensity scores for prior LOS

CCI calculated; individual comorbidities adjusted in model

No

Campbell (2013)

USA

2005–2010 [33]

S. aureus

Multiple sitesa

MSSA (206)

MRSA (119)

Partially adjusted for at the analysis stage by adjusting for time to infection as baseline covariate. In sensitivity analysis matching based on propensity scores for time to infection

CCI calculated and adjusted in model

No

Leistner (2014)

Germany 2008–2010 [29]

E. coli

BSI

Non-ESBL (92)

ESBL+ (92)

Partially adjusted for at the design stage using matching (LOS of controls matched with LOS of cases)

Matched on CCI

No

Cheah (2013)

Australia

2002–2010 [31]

Enterococcus

BSI

VSE (603)

VRE (116)

Partially adjusted at the analysis stage using LOS prior to infection

CCI calculated and adjusted in model

Yes

Morales (2012)

Spain

2005–2006 [27]

P. aeruginosa

Multipleb

Susceptible (149)

Resistant (119)

MDR (134)

Not addressed

No

No

Maslikowska (2016)

Canada

2010–2013 [28]

E. coli

Klebsiella spp.

Multiple c

Non-ESBL (75)

ESBL+ (75)

Not addressed

No

No

Thampi (2015)

Canada

2007–2010 [20]

S. aureus

BSI

MSSA (377)

MRSA (58)

Not addressed

No

No

EstevePalau (2015)

Spain

2010–2013 [30]

E. coli

UTI

Non-ESBL (60)

ESBL+ (60)

Not addressed

No

No

MacVane (2014)

USA

2011–2012 [23]

E. coli

Klebsiella spp.

UTI

Non-ESBL(55)

ESBL+ (55)

Not addressed

No

No

Chandy (2014)

India

2010 [32]

All organisms

BSI suspected

Susceptible (87)

Resistant (133)

Not addressed

No

No

  1. BSI Bloodstream infection, UTI Urinary tract infection, RTI Respiratory tract infection, 3GC Third-generation cephalosporin, 3GCSE 3GC susceptible Enterobacteriaceae, 3GCRE 3GC resistant Enterobacteriaceae, ESBL Extended-spectrum beta lactamase, VSE Vancomycin susceptible Enterococcus, VRE Vancomycin resistant Enterococcus, MRSA Methicillin resistant S. aureus, MSSA Methicillin susceptible S.aureus, KP K. pneumoniae, PA P. aeruginosa, MDR Multidrug resistant, CCI Charlson comborbidity index, APACHE Acute physiology and chronic health evaluation, DRG Disease-related group, NS Not significant
  2. amultiple sites of infections were, as listed by authors, “blood, urine, respiratory, neurologic, orthopaedic, other”
  3. bRespiratory, SST, genitourinary, catheter, endovascular, abscess, peritonitis, digestive, as found in original article
  4. cmultiple sites of infection are summarised here as orthopaedic, lung, blood, urinary tract, abdominal region, and skin and soft tissue infections