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. Author manuscript; available in PMC: 2014 Apr 8.
Published in final edited form as: N Engl J Med. 2012 May 21;366(22):2093–2101. doi: 10.1056/NEJMsa1201918

Table 4.

Odds Ratio for Death in ICUs with Nighttime Intensivist Staffing in the APACHE and PHC4 Cohorts.*

Cohort No. of Patients Low-Intensity Daytime Staffing High-Intensity Daytime Staffing Interaction Term
Odds Ratio (95% CI) P Value Odds Ratio (95% CI) P Value P Value
APACHE 65,752 0.62 (0.39–0.97) 0.04 1.08 (0.63–1.84) 0.78 0.02

 Patients with active treatment on admission 44,420 0.59 (0.36–0.97) 0.04 1.15 (0.71–1.88) 0.57 <0.01

 Patients who underwent mechanical ventilation 29,498 0.60 (0.37–0.96) 0.03 1.36 (0.86–2.15) 0.19 <0.01

 Patients admitted at night§ 29,088 0.51 (0.32–0.82) 0.01 1.01 (0.71–1.44) 0.95 <0.01

 Patients in highest third of acute physiology scores 21,532 0.56 (0.38–0.82) <0.01 1.16 (0.75–1.79) 0.51 <0.01

 Patients with sepsis 5,816 0.46 (0.29–0.74) <0.01 0.88 (0.58–1.33) 0.54 <0.01

 Alternative definition of nighttime staffing: nighttime intensivist or resident physician 65,752 0.42 (0.29–0.59) <0.01 0.47 (0.34–0.65) <0.01 <0.01

PHC4 cohort 107,319 0.83 (0.69–0.99) 0.049 0.97 (0.67–1.39) 0.86 0.18
*

APACHE denotes Acute Physiology and Chronic Evaluation, and PHC4 Pennsylvania Health Care Cost Containment Council.

Odds ratios and 95% confidence intervals compare nighttime intensivist staffing in the ICU with any other nighttime staffing. Models were adjusted for age, sex, race or ethnic group, acute physiology score, presence or absence of chronic coexisting conditions, preadmission location of the patient, diagnosis, type of ICU, daytime intensivist staffing model, annualized ICU volume of admissions, and use or nonuse of mechanical ventilation on the day of admission. Confidence intervals take into account clustering at the ICU level.

Active treatment was defined as any of 33 active life-supporting intensive care treatments.14

§

Nighttime admission was defined as admission between 7 p.m. and 7 a.m.

The primary admission diagnosis of sepsis was determined by the admitting clinicians.

Odds ratios and 95% confidence intervals are for nighttime intensivist staffing in the ICU with any other nighttime staffing. Models were adjusted for age, sex, race, predicted probability of death, presence or absence of chronic coexisting conditions, teaching status of the hospital, type of ICU, daytime intensivist staffing model, and annualized ICU volume of admissions. Confidence intervals take into account clustering at the ICU level.