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Table 3 Coefficients of the binary logistic regression model predicting whether a rescued person will be sick/injured. Three different models are calculated: In the left column the results of the univariate binary logistic model are demonstrated. The middle column shows the results of the multivariate binary logistic regression without including the information of the refugees boat. The right column includes all information in one model. (Abbr.: regression coefficient (R), p-Value (p), calculated Odds Ratio (OR) with its corresponding 95 % confidence interval (95 % CI)

From: Initial assessment and treatment of refugees in the Mediterranean Sea (a secondary data analysis concerning the initial assessment and treatment of 2656 refugees rescued from distress at sea in support of the EUNAVFOR MED relief mission of the EU)

Variable Category Univariate binary logistic regression model Multivariate binary logistic regression model without refugee boat
Nagelkerkes R2 = .09
Sensitivity: 29.7 %
Specifity = 89.4 % (Cut-Off: .25)
Multivariate binary logistic regression with refugee boat included:
Nagelkerkes R2 = .21
Sensitivity: 54.0 %
Specifity: 81.4 % (Cut-Off: .25)
R P OR [95 % CI] R P OR [95 % CI] R P OR [95 % CI]
PR [/min] ≤39 not calculated a not calculated a not calculated a
40-49 −21.20 1.000 not calculated a not calculated a not calculated a
50-59 −1.61 0.14 0.20 [0.02-1.71] −1.18 .310 0.31 [0.03 - 2.99] −0.61 .617 0.54 [0.05-5.91]
60-80 −1.69 < .001 0.18 [0.13-0.27] −1.07 .004 0.34 [0.17 - 0.71] −0.58 .146 0.56 [0.26-1.22]
81-120 −1.64 < .001 0.20 [0.17-0.23] −0.96 .002 0.38 [0.21 - 0.71] −0.75 .027 0.47 [0.24-0.92]
121-150 −1.23 < .001 0.29 [0.24-0.37] −0.71 .025 0.49 [0.27 - 0.92] −0.57 .101 0.57 [0.29-1.12]
≥151 −0,30 .287 0.74 [0.43-1.27] not included b not included b
CBT [°C] ≤34.9 −1.67 < .001 0.19 [0.08-0.42] −1.18 .264 0.31 [0.04 - 2.43] −0.47 .676 0.63 [0.07-5.57]
35.0 – 35.9 −2.10 < .001 0.12 [0.08-0.18] −1.58 .062 0.21 [0.04 -1.09] −1.33 .145 0.26 [0.04-1.58]
36.0 – 37.5 −1.72 < .001 0.18 [0.15-0.20] −1.53 .065 0.22 [0.04 - 1.10] −1.69 .056 0.18 [0.03-1.05]
37.6 – 39.0 −0.47 < .001 0.63 [0.49-0.80] −0.38 .653 0.69 [0.13 -3.54] −1.18 .193 0.31 [0.05-1.81]
≥39.1 0.00 1.000 1.00 [0.20-5.0] not included b not included b
SpO2 [%] ≤84 −21.20 1.000 not calculated a not calculated a not calculated a
85-89 −1.01 .003 0.36 [0.19-0,70] 1.22 .339 3.37 [0.28 - 40.88] 0.20 .886 1.22 [0.08-17.71]
90-95 −1.85 < .001 0.16 [0.07-0.29] 0.28 .822 1.33 [0.11 - 15.91] −0.64 .639 0.53 [0.04-7.55]
96-100 −1.49 < .001 0.23 [0.20-0.26] 0.52 .669 1.68 [0.15-18.39] −0.54 .677 0.58 [0.05-7.52]
Age category Infant −2.83 .006 0.06 [0.01-0.44] −0.21 .880 0.81 [0.05 -12.21] −0.70 .624 0.50 [0.03-8.10]
Child −1.80 < .001 0.17 [0.12-0.23] −0.14 .873 0.87 [0.16 -4.72] −0.35 .695 0.70 [0.12-4.08]
Adult −1.58 < .001 0.21 [0.19-0.23] −0.39 .638 0.67 [0.13 -3.47] −0.56 .519 0.57 [0.10-3.14]
Elderly −0.15 .782 0.86 [0.29-2.55] not included b not included b
Gender Male 0.48 < .001 1.62 [1.24-2.11] 0.70 < .001 2.01 [1.47 - 2.76] 0.53 .003 1.70 [1.21-2.40]
Refugee Boat No. 1 0.94 < .001 2.56 [1.56-4.21]   0.87 .022 2.39 [1.14-5.01]
2 1.17 .001 3.23 [1.60-6.51] 1.19 .003 3.27 [1.50-7.14]
3 1.75 < .001 5.77 [3.58-9.29] 1.88 < .001 6.56 [3.71-11.58]
4 −0.05 .863 0.95 [0.54-1.68] −0.02 .956 0.98 [0.47-2.06]
5 1.20 < .001 3.33 [1.73-6.42] 1.33 < .001 3.79 [1.82-7.90]
6 1.80 < .001 6.05 [3.20-11.44] 1.84 < .001 6.30 [3.06-12.95]
7 0.22 .651 1.24 [0.49-3.16] 0.41 .418 1.51 [0.56-4.09]
8 1.79 < .001 5.99 [3.60-9.96] 1.98 < .001 7.25 [3.90-13.49]
9 3.12 < .001 22.59 [12.70-40.19] 2.80 < .001 16.52 [8.16-33.44]
10 not calculatedb not included b
  1. Note: aSubcategory is not calculated due to its small sample size
  2. bSubcategory is not included because it is explained by the other subcategories