1
We collected patient demographics and medical history, laboratory data, and clinical outcomes.
2
No significant differences in patient demographics were observed between the two groups.
3
The patient demographics, perioperative variables, postoperative complications and follow-up data were recorded.
4
CBSI incidence, patient demographics, and unit metrics were retrospectively reviewed for 2004.
5
There were no statistical differences in patient demographics between the two approaches.
6
The collected data included patient demographics, patient history, type of surgery and complications.
7
Descriptive statistics were used to summarize patient demographics and clinical data.
8
Data on patient demographics, clinical information, established therapies and cardiology visits were collected.
9
Clinical history was assessed for determination of patient demographics and symptoms at presentation.
10
A database of patient demographics and pathology, operative details and complications was created.
11
However, epidemiological studies continue to show that patient demographics are fundamental in predicting outcomes.
12
Candidate variables included physician and patient demographics, baseline clinical conditions, and healthcare utilization metrics.
13
Adjustment was performed as needed for patient demographics, sporting activity, and prior knee injuries.
14
Univariate analysis was performed for patient demographics and surgical characteristics.
15
Secondary predictors were patient demographics, hospitalization characteristics, diagnoses, and procedures.
16
These genetic alterations were compared with patient demographics and clinicopathological characteristics of the tumors.
