A novel model to label delirium in an intensive care unit from clinician actions

Table 2 Demographic characteristics of a cohort of adult ICU patients

	Total	Patients with Delirium ICD-9 Code	Patients without Delirium ICD-9 Code	p-Value
	n (%)^a	n (%)^b	n (%)^b	p-Value
Total	48,541	3,850	44,691	–
Sex
Male	27,220 (56.1%)	2,181 (56.6%)	25,039 (56.0%)	0.538^c
Female	21,321 (43.9%)	1,675 (43.4%)	19,646 (44.0%)	0.538^c
Race/Ethnicity
White or Caucasian	34,792 (71.7%)	2,857 (74.1%)	31,935 (71.5%)	< 0.005^d
Black or African	4,668 (9.6%)	381 (9.9%)	4,287 (9.6%)
Hispanic or Latino	1,720 (3.5%)	129 (3.4%)	1,591 (3.6%)
Asian	1,133 (2.3%)	74 (1.9%)	1,059 (2.4%)
Other^e	6,228 (12.8%)	415 (10.8%)	5,813 (13.0%)
Age at Admission⁷
< 30 years	2,222 (4.6%)	140 (3.6%)	2,082 (4.6%)	< 0.0005^f
30–39 years	2,568 (5.3%)	164 (4.3%)	2,404 (5.4%)
40–49 years	5,151 (10.6%)	388 (10.1%)	4,763 (10.7%)
50–59 years	8,396 (17.3%)	607 (15.7%)	7,789 (17.4%)
60–69 years	10,117 (20.8%)	715 (18.5%)	9,402 (21.0%)
70–79 years	10,042 (20.7%)	789 (20.5%)	9,253 (20.7%)
80–89 years	7,432 (15.3%)	747 (19.4%)	6,685 (15.0%)
≥ 90 years	2,613 (5.4%)	306 (7.9%)	2,307 (5.2%)
Length of Stay^g
< 5 days	17,406 (35.9%)	783 (20.3%)	16,623 (37.2%)	< 0.0005^f
5 – 10 days	19,131 (39.4%)	1,470 (38.1%)	17,661 (39.5%)
11 – 20 days	9,163 (18.9%)	1,149 (29.8%)	8,014 (17.9%)
21 – 30 days	2,841 (5.9%)	454 (11.8%)	2,387 (5.3%)

Differences between patients with and without delirium ICD-9 codes were tested with t-tests and chi-squared tests, as appropriate
^aPercent of total patients
^bPercent within subgroup (with or without delirium ICD-9 code)
^cPearson’s Chi-squared test with Yates’ continuity correction
^dPearson’s Chi-squared test
^eOther race, race unavailable, multi race ethnicity (0.21% of total cohort), Native American, Native Hawaiian, or Pacific Islander (0.06% of cohort)
^fWelch’s two-sample t-test
^gContinuous variable in the MIMIC-III discretized for illustration in this table

ISSN: 1472-6947