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VTE prevention: Real-world outcome data Domenico Pagano Consultant Cardiothoracic Surgeon Clinical Director Quality & Outcomes Research Unit University.

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Presentation on theme: "VTE prevention: Real-world outcome data Domenico Pagano Consultant Cardiothoracic Surgeon Clinical Director Quality & Outcomes Research Unit University."— Presentation transcript:

1 VTE prevention: Real-world outcome data Domenico Pagano Consultant Cardiothoracic Surgeon Clinical Director Quality & Outcomes Research Unit University Hospital Birmingham, UK ‘VTE PREVENTION NHS SHOWCASE’ 16th September 2013

2 Quality and Outcomes Research Unit University Hospital Birmingham Primary Care and Population Health University College London, UK

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5 Death from PE 80% autopsy rate 9% PE Clinical diagnosis wrong in 84% of cases What is the incidence in 2013? Karwinski & Svendsen J Clin Path 1989

6 VTE-PE Deaths in Europe A T Cohen et al VITAE Study, Thrombosis and Haemostasis 2007; 98: % 34% 59% Prevention Awareness Prevention

7 Evidence based medicine 1970’s Trials post surgical thromboprophylaxis – Heparin, aspirin, dextrans Power to detect reduction fatal PE 0.8% - 0.4% 20,000

8 Commissioning for Quality and Innovation (CQUIN) AIM: Reduce avoidable death, disability and chronic ill health from venous-thromboembolism (VTE) METHOD: >90% of all patients admitted to hospital should have VTE risk assessment DRIVER: Up to £ 500,000 withheld from large acute trusts who do not achieve target

9 CQUIN VTE risk assessment Intervention (socks, pharmacological) Patient pathway: From risk assessment to outcome Reduced VTE (fatal, non fatal) Outcome for payment Patient and staff awareness of VTE Increased non fatal VTE, reduced fatal VTE Outcome of interest

10 Aim of our study Assess whether achieving the CQUIN target had impact on: – VTE Mortality – VTE non fatal hospital readmissions

11 Study Population 163 hospital trusts; July 2010-March 2012 Principal analysis: – All hospital admission > 3 days Supportive analyses: – Admissions < 4 days – Day cases – Clinical sub-groups

12 Data source HES ONS UNIFY2 163 Acute Trusts Admissions between: July 2010-March 2012 Death certificate dataHospital level VTE-assessment data

13 Rate of VTE assessment in England

14 Monthly assessment rate by trust

15 Summary Data July March 2012 VTE Risk Assessment 17, % Admissions > 3 days 4,141, % VTE-Related Readmissions 8, % VTE In-Hospital deaths 4, % VTE In-Hospital deaths ( Primary) 1, % VTE deaths within 90 days 1, % VTE deaths within 90 days (Primary) %

16 In-Hospital Deaths Post-discharge Deaths Primary VTE deaths over time

17 Statistical Analyses Non linear mixed models – Poisson / Mixed error – Log Link Function – Radial Smoother Spline function for time (random effects) – Random Intercepts (Trusts) – Including count of events of interest by trust / month as response variable – Offset is log e (n) where n is the number of relevant admissions – Fixed effect time is centred scale for month (across 21 months included) – Fixed effect is whether the trust has achieved quality standards in the relevant month (binary) Enabling estimation of the change in risk associated with achieving screening target

18 End-point definitions Primary VTE Death: VTE in Position 1 death certificate VTE Related Death: VTE position 1-3 death certificate In-Hospital and 90 days post-discharge Total: in-hospital + 90 days post-discharge Non-Fatal Readmissions * VTE ICD-10 codes from the NHS-Outcome Framework 2013/14

19 Patients >3 days hospital stay Total Primary VTE related deaths0.85 (0.75, 0.96; p=0.011: n=2213) Total VTE related deaths0.92 (0.85, 0.99; p=0.033: n=5985) Primary VTE related inhospital deaths0.86 (0.74, 1.01; p=0.061: n=1318) VTE related inhospital deaths0.92 (0.84, 1.00; p=0.057: n=4334) Primary VTE Deaths at 90 days0.81 (0.67, 0.97; p=0.026: n=895) VTE related deaths at 90 days0.91 (0.79, 1.05; p=0.196: n=1651) VTE related Readmissions1.04 (0.97, 1.11; p=0.301: n=8578) Relative Risk (95% CI; p: n = events) Reduction with Programme Increase with Programme * * *

20 Primary VTE Deaths at 90 days0.61 (0.48, 0.79; p=0.0002: n=512) VTE related deaths at 90 days0.74 (0.61, 0.90; p=0.003: n=874) Reduction with Programme Patients < 4 days hospital stay (excluding day cases) Relative Risk (95% CI; p: n = events)

21 Day cases

22 Relative Risk Reduction for Death Non-surgical admissions P=0.04 P=0.006 P=0.001 % Risk Reduction

23 Total Primary VTE related deaths0.71 (0.41, 1.25; p=0.232: n=82) Total VTE related deaths0.89 (0.66, 1.20; p=0.429: n=305) Primary VTE related inhospital deaths0.86 (0.20, 3.63; p=0.839: n=14) VTE related inhospital deaths1.05 (0.68, 1.62; p=0.83: n=141) Primary VTE Deaths at 90 days0.69 (0.38, 1.25; p=0.220: n=68) VTE related deaths at 90 days0.77 (0.52, 1.14; p=0.191: n=164) VTE related Readmissions1.04 (0.82, 1.32; p=0.765: n=494) Hip Fracture CCS Grouping Relative Risk (95% CI; p: n = events) Reduction with Programme Increase with Programme

24 Total Primary VTE related deaths0.61 (0.40, 0.94; p=0.025: n=152) Total VTE related deaths0.72 (0.57, 0.91; p=0.0054: n=512) Primary VTE related inhospital deaths0.70 (0.40, 1.21; p=0.202: n=92) VTE related inhospital deaths0.68 (0.52, 0.88; p=0.004: n=389) Primary VTE Deaths at 90 days0.46 (0.24, 0.90; p=0.023: n=60) VTE related deaths at 90 days0.73 (0.47, 1.14; p=0.163: n=123) VTE related Readmissions1.34 (1.08, 1.67; p=0.009: n=556) Nervous System CCS Grouping Relative Risk (95% CI; p: n = events) Reduction with Programme Increase with Programme

25 Estimation lives saved Based on 2011 if all hospitals achieved 90% screening rate 430

26 Conclusions There is evidence to support an impact of the National VTE CQUIN in reducing hospital associated VTE mortality but not VTE readmissions. The effect is also seen in patients with duration of admission <4 days. Further subgroup analysis is required to refine which patient groups are benefiting and which patient groups should be considered for additional interventions.


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