3 RESULTS
Shapiro-Wilk Test: The Shapiro-Wilk test was employed to assess data normality in each group. All groups exhibited a P -value less than 0.05, indicating non-normal distribution. Data were subsequently organized using median and quartiles.
Baseline Characteristics: There were no statistically significant differences in the age and gender of the two groups (P> 0.05). Detailed data are presented in Table 1.
Analysis of WBC, NLR, PLR, and RDW Measurements: Comparisons revealed the positive group had significantly higher values than the negative control group, with a statistically significant difference (P< 0.05). Further details can be found in Table 2.
Distribution and Composition of Bacterial Pathogens: A total of 82 bacterial strains were isolated from the blood specimens of 82 hospitalized elderly patients. The total proportion of Gram-negative bacteria isolated from elderly female patients with bacteremia (n=61, 74.4%) was significantly higher than that in elderly male patients with bacteremia (n=21, 25.6%) (P = 0.021) (Table 5).
The distribution of bacterial pathogens included 42 strains of E. coli , 15 strains of K. pneumoniae , 10 strains ofStreptococcus, and 9 strains of Staphylococcus aureus . Six strains of other bacteria (including Enterococcus faecium 2 strains, Bacteroides fragilis 2 strains, Proteus mirabilis1 strain, Moraxella osloensis 1 strain), accounted for 7.3% of the isolates. Details can be found in Table 4 and Figure 1.
Tables 1, 2, 3, and 4 provide detailed data analysis, with clear statistical representation of the comparisons between the groups and the outcomes of various measurements. These tables summarize the characteristics and results of the study groups, including statistical significance, detailed counts of various cell types, and the effectiveness of different markers. Note that in Table 3, the ROC curve and related parameters are used to determine optimal cutoff values, sensitivities, specificities, accuracies, and predictive values for various blood cell parameters. In Table 4, the Kruskal-Wallis H test was used to examine differences among various pathogens and their relationships with the routine blood parameters.