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Table 2 Outline of models

From: Validation of a novel prediction model for early mortality in adult trauma patients in three public university hospitals in urban India

Model Parameter βa (SE)
Basicb SBP, SBF 1 −0.026 (0.006)
  SBP, SBF 2 −0.044 (0.036)
  SBP, SBF 3 0.419 (0.244)
  GCS −0.228 (0.031)
  Intercept 2.302 (0.577)
Basic + HRb SBP, SBF 1 −0.024 (0.008)
  SBP, SBF 2 −0.042 (0.038)
  SBP, SBF 3 0.378 (0.256)
  HR, SBF 1 −0.003 (0.013)
  HR, SBF 2 −0.018 (0.121)
  HR, SBF 3 0.225 (0.559)
  GCS −0.229 (0.032)
  Intercept 2.214 (0.662)
Kondo et al. GCS −0.254 (0.030)
  Age < 60 years −0.225 (0.354)
  SBP < 60 0c
  60 ≤ SBP ≤ 120 −2.067 (0.525)
  SBP > 120 −2.511 (0.585)
  Intercept 1.919 (0.616)
Perel et al.d Age −0.067 (0.142)
  Age2 0.002 (0.003)
  Age3 −1.3·10-5 (<0.001)
  SBP 0.019 (0.024)
  SBP2 −0.001 (<0.001)
  SBP3 2.3·10-6 (<0.001)
  GCS −0.679 (0.188)
  GCS2 0.024 (0.010)
  Intercept 3.678 (2.016)
Systolic blood pressure model SBP, SBF 1 −0.285 (0.030)
  SBP, SBF 2 −0.079 (0.247)
  SBP, SBF 3 −0.031 (0.006)
  Intercept −0.052 (0.033)
Glasgow coma scale model GCS 0.533 (0.222)
  Intercept 0.595 (0.460)
  1. Coefficients (β) of all models were estimated in the updating sample
  2. aAfter shrinkage
  3. bAs reported in the derivation study [22]. In the basic and basic + HR models systolic blood pressure and heart rate were modelled using restricted cubic splines. cReference. dAge and systolic blood pressure were modelled using cubic terms whereas Glasgow coma scale was modelled using a quadratic term. Abbreviations: GCS Glasgow coma scale, HR heart rate, SBP systolic blood pressure, SBF spline basis function