Baseline data were compiled along with hemodynamic response over time, and the following outcome measures were tracked: in-hospital mortality, admission location, length of hospital stay, and final hospital disposition.
Independent variables were age, gender, and admission location.
Time-independent factors included demographic (age, sex), hospital (admission location, admission ICU, weekend admission, night admission), clinical (admission diagnosis, admission Acute Physiology and Chronic Health Evaluation (APACHE) II score, admission Therapeutic Intervention Scoring System (TISS) score) characteristics.
Etiology, Glasgow Coma Score (GCS) on admission, location, and volume of hemorrhage were ascertained along with calculated intracranial hemorrhage (ICH) scores based on initial presentation to the neurosciences intensive care units (NSICU).
Sources will be: (1) the retrieval form, for clinical and timing information relating to the retrieval mission; (2) the patient chart, for diagnosis information and admission location at the tertiary hospital.
Key data elements included demographics, admission diagnosis, location before ICU admission, comorbidities based on the Charlson Comorbidity Index [19], functional status one week before hospital admission [20], scores including the SAPS 3 score, MPM0-III score and the Sequential Organ Failure Score (SOFA) [21], use of ICU support, ICU and hospital LOS and destination after hospital discharge.
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.
The first referred to the status of the patient at the time of ICU admission and collected age, sex, date and time of ICU admission, previous location (i.e. to determine whether they had been transferred from another department/hospital or whether their admission to the ICU was primary), reason for ICU admission and source of infection.
These data include age, diagnosis, history of falls, admission living location and the Functional Independence Measure (FIM) which includes motor and cognitive items.
Age, sex, duration of illness prior to admission, hospital location and the presence of MDR or intermediate ciprofloxacin susceptibility in the infecting organism were examined by logistic regression analysis to identify factors independently associated with severe typhoid at the time of hospital admission.
