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      Lead-Time Bias and Interhospital Transfer after Injury: Trauma Center Admission Vital Signs Underpredict Mortality in Transferred Trauma Patients

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d14521211e191">Background</h5> <p id="P2">Admission physiology predicts mortality after injury but may be improved by resuscitation prior to transfer. This phenomenon, which has been termed lead-time bias, may lead to underprediction of mortality in transferred patients and inaccurate benchmarking in centers receiving large numbers of transfer patients. We sought determine the impact of using vital signs on arrival at the referring center vs. on arrival at the trauma center in mortality prediction models for transferred trauma patients. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d14521211e196">Study Design</h5> <p id="P3">We performed a retrospective cohort study using a state-wide trauma registry including all patients age≥16 with Abbreviated Injury Scale scores ≥ 3 admitted to level I and II trauma centers in Pennsylvania from 2011–2014. The primary outcome measure was the risk-adjusted association between mortality and interhospital transfer (IHT) when adjusting for physiology (as measured by Revised Trauma Score, RTS) using the referring hospital arrival vital signs (model 1) compared to trauma center arrival vital signs (model 2). </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d14521211e201">Results</h5> <p id="P4">After adjusting for patient and injury factors, IHT was associated with reduced mortality (OR 0.85, 95% CI 0.77–0.93) using the RTS from trauma center admission but with increased mortality (OR 1.15, 95% CI 1.05–1.27) using RTS from the referring hospital. The greater the number of transfer patients seen by a center, the greater the difference in center-level mortality predicted by the two models (b −0.044, 95% CI −0.044 - −0.0043, p= &lt;0.001). </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d14521211e206">Conclusions</h5> <p id="P5">Trauma center vital signs underestimate mortality in transfer patients and may lead to incorrect estimates of expected mortality. Where possible, benchmarking efforts should use referring hospital vital signs to risk-adjust IHT patients. </p> </div>

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          Author and article information

          Journal
          Journal of the American College of Surgeons
          Journal of the American College of Surgeons
          Elsevier BV
          10727515
          March 2017
          March 2017
          : 224
          : 3
          : 255-263
          Article
          10.1016/j.jamcollsurg.2016.11.016
          5328799
          27993698
          1ee5c290-7a64-40ce-a80d-587d067c569a
          © 2017

          http://www.elsevier.com/tdm/userlicense/1.0/

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