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The imputation model included all candidate predictor variables, the outcome variable, and several relevant variables describing case mix of the patients, such as white blood cell count, admission to hospital, and antibiotic prescription.
This study showed that age, admission WBC count, admission temperature, lesion location, pre-admission antibiotic administration, concurrent MSI, pre-existing diabetes and respiratory difficulty before admission were closely related to the two challenging clinical issues of CSOJ.
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The dependent variable for all models is a count (admissions) that has a Poisson distribution.
This study demonstrates that the majority of work done by ICU doctors is underestimated by counting admissions alone.
The median of the lymphocyte count at admission was 0.80 [0.51–1.29] × 103 cells/µL.
The median lymphocyte count on admission was 1208 [700 2350]/mm3 and 151 (40%) patients had lymphopaenia (lymphocyte count <1000/mm3).
The platelet count on admission was the only variable associated with subsequent bleeding (Fig. 2, Table 3).
Platelet count on admission was associated with subsequent bleeding (adjusted odds ratio 1.18 (95% CI 1.03 1.35) for every 10 × 109 per litre drop in platelet count, p = 0.016).
In a large recent study, which included 931 sepsis patients, a low platelet count at admission in the ICU was associated with an increased mortality risk [29].
Demographic, CA-related data and ICU mortality were recorded as was lymphocyte count on admission and for the first 48 h.
A lower lymphocyte count on admission was associated with poor outcome, but was not an independent predictor of mortality or neurological recovery.
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