Fig 1.
Comparative box-plots for some hematological parameters.
Box-and-whisker plots representing median of SII, NLR, MLR, PLT, LYM, MPV, PLR, MONO and NEU levels. Blue box designates a boxplot of value at T0. Green box designates a boxplot of the value at T2. The horizontal line inside the box indicates the median value. Whiskers extend to the largest and smallest observed values within the box lengths. In each box plot, P(Negative) = T0 vs. T2 for patients turned negative culture at T2 (in left), n = 63 and P(Positive) = T0 vs. T2 for patients remained positive culture at T2 (in right), n = 27. Statistically significant deviations between groups (p < 0.05) are indicated by a horizontal line.
Table 1.
Comparison of the 23 hematological parameters by center.
Fig 2.
Correlogram with hierarchical clustering of covariates included in the logistic regression analysis.
Positive and negative correlations are represented by blue and red dots. The sizes and the shades of the dots reflect the strengths of correlation between pairs of hematological parameters. Colours range from bright blue (strong positive correlation; i.e. r = 1.0) to bright red (strong negative correlation; i.e. r = −1.0). Correlations are ordered by hierarchical clustering with clusters outline. Figure drawn using the R corrplot package (https://github.com/taiyun/corrplot).
Table 2.
Logistic regression analysis of the models of predictors.
Fig 3.
Receiver operating characteristic (ROC) curves for the representative single hematological parameters.
(A) The analysis of AUCs (Area under the curve) for WBC, LYMF, HCT, MCH and PCT and (B) NEU, MLR, PLR, SII and RDW-CV indicated no statistically significant results, except LYM. Abbreviations: AUC: Area Under the Curve; ROC: Receiver Operating Characteristic; HCT: hematocrit; LYM: lymphocytes; MCH: mean corpuscular hemoglobin; MLR: monocyte-to-lymphocyte ratio; NEU: neutrophils; RDW-CV: red cell distribution width, coefficient variation; PCT: plateletcrit; PLR: platelet-to-lymphocyte ratio; SII systemic immune-inflammation index and WBC: white blood cell count.
Fig 4.
Receiver operating characteristics (ROC) curves for different models calculated from the logistic regression with best AUC.
Abbreviations: AUC: Area Under the Curve; ROC: Receiver Operating Characteristic; The Models 11–13 as represented in Table 2.