Is it possible to predict the severity of acute appendicitis? Reliability of predictive models based on easily available blood variables

Table 2 Multivariate analysis by ordinal logistic regression and model fit measures

Model coefficients—histopathology
Predictor	Estimate	SE	Z	p	Odds ratio
Albumin	− 0.00402	0.01923	− 0.2093	0.834	0.996
CRP	0.00806	0.00665	1.2126	0.225	1.008
Lymphocytes	− 0.40651	0.15749	− 2.5811	0.010	0.666
Neutrophils	0.00697	0.12948	0.0538	0.957	1.007
WBC	0.12731	0.12169	1.0462	0.295	1.136
CRP/Albumin	− 0.20773	0.08694	− 2.3895	0.017	0.812
CRP/MPV	0.04142	0.06285	0.6590	0.510	1.042
Albumin/MPV	− 0.08187	0.15347	− 0.5335	0.594	0.921
Neutr/Lymph	− 0.00689	0.01012	− 0.6809	0.496	0.993

The dependent variable 'Histopathology' has the following order: 1 | 2 | 3 | 4
Dependent variable: histopathology findings (1: no inflammation, 2: mucosal appendicitis, 3: transmural appendicitis and 4: gangrenous appendicitis). Only variables that were significant at univariate analysis were introduced into the multivariate analysis. CRP: C-reactive protein, MPV: mean platelet volume and WBC: white blood cells

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