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Post-operative Infection Treatment Score for the Spine (PITSS):
Validation of a Predictive Model to Define Need for Single versus Multiple Irrigation and Debridement
for Spinal Surgical Site Infection
Christian P. DiPaola, MD 1; Davor D. Saravanja 2, MD; Luca Boriani,MD 3; Michael Boyd, MD 4; Brian K. Kwon, MD, PhD 4; Scott Paquette 4, MD;
Marcel F. S. Dvorak, MD 4; Charles G. Fisher, MD, MHSc 4, John Street, MD, PhD 4
1University of Massachusetts Medical Center, Worcester, MA2 Sydney Children’s Hospital, Sydney, Australia
3Ospedale Maggiore , Bologna Italy4University of British Columbia, Vancouver, BC
Background
Rx=I&D
Closed Suction Irrigation for the Treatment ofPostoperative Wound Infections Following PosteriorSpinal Fusion and InstrumentationMichael T. Rohmiller, MD,* Behrooz A. Akbarnia, MD,†‡ Kian Raiszadeh, MD,§Kamshad Raiszadeh, MD,¶ and Sarah Canale, BS‡
SSI: Complex SSI Management V.A.C.SSI: Complex SSI Management V.A.C.
SSI: Complex ReconstructionSSI: Complex Reconstruction
Masri, B. A.; Duncan, C. P.; and Beauchamp, C. P.: Long-term elution of antibiotics from bone-cement: an in vivo study using the prosthesis of antibiotic-loaded acrylic
cement (PROSTALAC) system. J Arthroplasty, 13(3): 331-8, 1998
J Neurosurg Spine. 2006 Oct;5(4):287-93. Hollow cylindrical polymethylmethacrylate strut for spinal reconstruction after single-
level cervical corpectomy.Chen JF, Wu CTLee SC, Lee ST
PMMA struts have been used successfully for
reconstructing single level cervical vertebrectomy for
spondylodiscitis
SSI: Complex SSI ManagementSSI: Complex SSI Management
Purpose
• Build Predictive Model
• Single vs. Multiple I&D
Methods
• Select appropriate predictor candidates• Prediction model (internal validation)• External validation of the 1999-2005 model
was performed by applying it to the 2006-2008 population to produce predicted probabilities.
• Receiver Operating Characteristic (ROC) Curves were constructed and the Area Under the Curve (AUC) was calculated.
Hospital Factors• ICU stay Y/N• Duration of ICU stay• Duration in hospital prior to
operation
Spine Factors• Dx: oncology, deformity,
degenerative, trauma• Diagnosis Location• Neurology (ASIA score)
OR/Surgical Factors • # of levels• EBL• Approach • Presence of Instrumentation• Operative Duration• CSF leak/dural tear
Patient Factors• Medical co-morbidities • Age/Gender
Infection Factors• 1st Operative Deep Wound
Culture at I&D
• Distant site infxn: UTI, bacteremia, pneumonia
Hospital Factors
• ICU stay- Odds Ratio (OR)=1.75
• Duration of ICU stay- OR=1.33
• Days in hospital prior to operation- OR=1.15
– Odds Ratio >1 higher risk of multiple I&D
Spine Factors
• Spine Diagnosis: Oncology>trauma>deformity>degenerative
• Diagnosis Location- T/L >Cervical OR=2.0
• Neuro Deficit>Intact- OR=1.75
Odds Ratio >1 higher risk of multiple I&D
Surgical Factors
• CSF leak/dural tear-OR=2.63
• EBL & # of levels-OR=1.25-1.29
• Instrumentation-OR=1.23
• Revision surgery-OR=.66
• Operative Duration, Bone graft types, Sacrum/Ileum=no difference
•Approach-all 63 were posterior midlineOdds Ratio >1 higher risk of multiple I&D
Patient Factors
• Diabetes/elevated blood glucose- OR=1.39
• Age/Gender-No Difference
Odds Ratio >1 higher risk of multiple I&D
Infection Factors 1st Deep Wound Culture at I&D
• Polymicrobial w/ MRSA or MRSA alone > Gram+ OR=7.58
Odds Ratio >1 higher risk of multiple I&D
Infection Factors
Distant site infection
• Bacteremia & UTI > none- OR=50.74
• Bacteremia > none- OR=15.95
• UTI > none- OR=1.97
Odds Ratio >1 higher risk of multiple I&D
Purpose
137.408IPSIX17
135.85140CSF X16
134.45387GenderX15
132.45443Neurologic DeficitX14
130.55445LevelsX13
128.72450Previous SurgeryX12
126.79455Duration of ICU stayX11
124.89463Primary Spine DiagnosisX10
120.28464Index procedure durationX9
118.92486Hospital Duration PreopX8
117.77561Patient AgeX7
117.30M5+X6M6710Bone graftX6
119.32M4+X5M5721InstrumentationX5
124.38M3+X4M4725Distant site InfectionX4
125.97M2+X3M3739Medical ComorbiditiesX3
125.72M1+X2M2768
Spine Location
X2
122.81X1M1853
Wound CultureMicrobiology
X1
AICPredictors in the model
ModelFrequencyDescriptionRanked Predictor
Internal Validation of Predictor Selection using 1000 re-samples (predictability measure AUC=0.84 for model M6)
Study #1
Study #2
130.55
445LevelsX13
128.72
450Previous SurgeryX12
126.79
455Duration of ICU stayX11
124.89
463Primary Spine
DiagnosisX10
120.28
464Index procedure
durationX9
118.92
486Hospital Duration
PreopX8
117.77
561Patient AgeX7
117.30M5+X6M6710Bone graftX6
119.32M4+X5M5721InstrumentationX5
124.38M3+X4M4725Distant site InfectionX4
125.97M2+X3M3739Medical ComorbiditiesX3
125.72M1+X2M2768
Spine Location
X2
122.81X1M1853
Wound CultureMicrobiology
X1
AICPredictors in the model
ModelFrequencyDescriptionRanked Predictor
Internal Validation of Predictor Selection using 1000 re-samples (predictability measure AUC=0.84 for model M6)
Internal Validation of the Predictive Model
• AUC= .84
• 6 Key predictive factors
Predictors
• Microbiology• Spine Location• Medical Comorbidity• Distant Site Infection• Instrumentation• Bone graft
External validation
The predictability (measured by AUC – area under curve) of the final prediction model was checked with the validation dataset (2006-2008) and its re-samples. The curve referred to here is the ROC (Receiver Operating Characteristic). The closer AUC is to 1.0 the better the prediction power.
AUC=0.7095% CI = (0.51, 0.89)
Applying the Data
• By setting a probability cutoff of 0.24 the negative predictive value (NPV) for multiple I&D was 0.77
• A cutoff of 0.53 probability yielded a PPV for multiple I&D of 0.80.
MultipleI&D
Single I&D
.24 .53
NPV=.77 PPV=.85
0other graft
-0.4647autograft 0.0630
-1.7848none
Bone graft
0yes0.0450
-1.9550noInstrumentation
0Bacteremia+dist
0.0850Bacteremia+alone
-0.3082UTI/pneumonia0.0876
-1.7743none
Distant SiteInfection
0Others (ie. GI, renal etc.)
0.4218cardiovascular/pulmonary
2.0241diabetes0.1736
0.2039none
Comorbidities
0Lumbar/sacral (L1-S2)
-1.0658Thoracic or thoraco-lumbar (T1-L1) 0.1613
-1.5069Cervical (C0-7)
IP Location
0Polymicrobial with MRSA or MRSA alone
-1.9639Gram negative or polymicrobial wo MRSA 0.0389
-1.4416Gram positive
Microbiology
PvalueCoeffecientPredictor subgroupsPredictors
6Other (allograft, BMP, synthetic)
3Autograft
1None
Bone Graft
6Yes
2NoInstrumentation
Surgical Factors
6Bacteremia + PNA/UTI
5Bacteremia alone
3UTI/pneumonia
1none
Distant site infection
6Polymicrobial with MRSA or MRSA alone
4Gram negative or polymicrobial wo MRSA
2Gram positive
Microbiology
Infection Factors
4diabetes
1cardiovascular/pulmonary
0None/other
ComorbiditiesPatient Factors
4Lumbar/sacral
2Thoracolumbar
1Cervical
Spine LocationSpine Factors
Post-operative Infection Treatment Score for the Spine
Low risk: 7-14Indeterminate: 15-20
High risk 21-33
Applying the Data
MultipleI&D
Single I&D
14 20
NPV=.71 PPV=.98
Low risk: 7-14Indeterminate: 15-20
High risk 21-33
LowRisk
HighRisk
Unsure
6Other (allograft, BMP, synthetic)
3Autograft
1None
Bone Graft
6Yes
2NoInstrumentation
SurgicalFactors
6Bacteremia + PNA/UTI
5Bacteremia alone
3UTI/pneumonia
1None
Distant site infection
6Polymicrobial with MRSA or MRSA alone
4Gram negative or polymicrobial w/o MRSA
2Gram positive
Microbiology
Infection Factors
4Diabetes
1Cardiovascular/pulmonary
0None/other
ComorbiditiesPatientFactors
4Lumbar/sacral
2Thoracolumbar
1Cervical
Spine LocationSpineFactors PITSS Example Patient
28
MultipleI&D
Single I&D
14 20Low risk: 7-14
Indeterminate: 15-20High risk 21-33
Conclusions
• Context for each pt.• EBM treatment guidance• Supplemental options
Thank You