Table 1

 Demographic data, clinical outcomes, and sputum culture results in study participants grouped according to blood glucose quartiles

Group 1(n = 69)Group 2(n = 69)Group 3(n = 75)Group 4(n = 71)p value
Logistic regression was used for analysis of univariate relationships between glucose (divided by quartiles into four exposure levels) and categorial variables. Analysis of variance was used to compare age between the four groups and Kruskal-Wallis testing used to compare length of stay (not normally distributed) between the groups.
Demographic data
    Blood glucose (mmol/l)<6.06.0–6.97.0–8.9>9.0
    Mean (SD) age (years)73.1 (10.7)72.9 (11.1)76.7 (8.6)75.0 (10.5)0.087
    Sex (M:F)43:2639:3043:3242:290.743
    Pre-existing diagnosis of diabetes, n (%)1 (1.4%)1 (1.4%)3 (4%)10 (14.1%)0.002
Clinical outcomes
    Composite adverse outcomes, n (%)28 (41%)37 (54%)45 (60%)51 (72%)0.0001
    Mortality, n (%)8 (12%)11 (16%)16 (21%)22 (31%)0.003
    Median (IQR) length of stay (days)7 (4–14)9 (5–16)10 (6–22)12 (5–21)0.087
Sputum culture results
    At least one pathogen, n (%)14 (56%)17 (61%)19 (66%)22 (73%)0.154
    Multiple pathogens, n (%)3 (12%)5 (18%)8 (28%)10 (33%)0.031
    Staphylococcus aureus, n (%)1 (4%)3 (11%)8 (28%)8 (27%)0.011
    Yeasts, n (%)0 (0%)3 (11%)2 (7%)5 (17%)0.065