Volume 16, Number 4—April 2010
CME ACTIVITY
Community-associated Methicillin-Resistant Staphylococcus aureus Strains in Pediatric Intensive Care Unit1
Aaron M. Milstone
, Karen C. Carroll, Tracy Ross, K. Alexander Shangraw, and Trish M. Perl
, Karen C. Carroll, Tracy Ross, K. Alexander Shangraw, and Trish M. PerlTable 3
Characteristics of patients colonized with different MRSA strain types at the time of PICU admission, The Johns Hopkins Hospital, Baltimore, MD, USA, March 2007–May 2008*
| Characteristic | Patients colonized with CA-MRSA strain, n = 40 | Patients colonized with HA-MRSA strain, n = 26 | OR (95% CI)† |
|---|---|---|---|
| Demographic | |||
| Median age, y (IQR) | 3.8 (1.0–5.9) | 4.0 (1.0–9.5) | 0.98 (0.90–1.07) |
| Male sex | 22 (55) | 14 (54) | 1.05 (0.39–2.82) |
| Race | |||
| White | 15 (35) | 9 (38) | Referent |
| African American | 23 (58) | 13 (50) | 1.1 (0.36–3.10) |
| Other | 2 (5) | 4 (15) | 0.3 (0.05–1.98) |
| Clinical | |||
| Newly identified MRSA carrier | 32 (80) | 20 (77) | 1.2 (0.36–3.97) |
| Hospitalized in previous 12 mo | 20 (50) | 19 (73) | 0.37 (0.13–1.07) |
| ICU admission in previous 12 mo | 13 (33) | 26 (62) | 0.31 (0.11–0.84) |
| Length of stay in hospital before
PICU admission, median (range) | 0 (0–28) | 0 (0–14) | 1.02 (0.92–1.15) |
| Primary service | |||
| Medical | 24 (60) | 12 (46) | Referent |
| Surgical | 16 (40) | 14 (54) | 0.57 (0.21–1.55) |
| Admitted to PICU from inpatient unit | 6 (19) | 5 (15) | 0.74 (0.20–2.73) |
| Outcomes | |||
| PICU length of stay,‡ median (IQR) | 3 (1–7.5) | 3 (2–7) | 1.05 (0.79–1.40) |
| Hospital length of stay,‡ median (IQR) | 8 (4.5–28.5) | 8.5 (3–15) | 1.04 (0.97–2.04) |
*MRSA, methicillin-resistant Staphylococcus aureus; PICU, pediatric intensive care unit; CA-MRSA, community-associated MRSA; HA-MRSA, hospital-associated MRSA; OR, odds ratio; CI, confidence interval; IQR, interquartile range. Values reported as no. (%) unless otherwise specified.
†Obtained from univariate logistic regression analysis.
‡Data were log transformed before regression analysis to account for skewing.
