selleck chemicals ConclusionsOur results suggest that an Intensivist’s base specialty of training may impact patient outcomes and practice patterns. This may help explain the inconsistent results seen with previous investigations assessing the impact of Intensivists’ care on ICU patients.Key messages? Intensivists’ base specialty of training is associated with practice pattern variation.? This may be one factor that contributes to the differences in processes and outcomes of patient care.? Further prospective investigations are warranted to explore the impact that this may have on patient care and training requirements for Intensivists.

AbbreviationsAGSEM: anesthesia, general surgery and emergency medicine; ANOVA: analysis of variance; APACHE II: Acute Physiology and Chronic Health Evaluation II score; CHR: Calgary Health Region; CI: confidence interval; DNR: do not resuscitate; GEE: generalized estimating equation; ICU: intensive care unit; LOS: length of stay; OR: odds ratio; PGY: Postgraduate Year of training; TISS: Therapeutic Intervention Scoring System.Competing interestsThe authors declare that they have no competing interests.Authors’ contributionsAll authors were involved in development of the research question and study design. EOB contributed to data acquisition, data analysis, and drafting of the manuscript. DAZ and HTS contributed to data analysis. ADP contributed to data acquisition, data analysis, and drafting of the manuscript. All authors revised the manuscript critically for important intellectual content and have approved the final copy.

Supplementary MaterialAdditional file 1: Additional file 1 is available with the online version of this paper; it contains a total of 12 tables providing more detailed results of the analyses. Tables S1 and S2 list the variables associated with ICU mortality and their corresponding odds ratios for the entire cohort and subgroup, respectively; Tables S3 and S4 Entinostat list the variables associated with ICU LOS and their corresponding odds ratios for the entire cohort and subgroup, respectively; Tables S5 and S6 list the variables associated with hospital mortality and their corresponding odds ratios for the entire cohort and subgroup, respectively; Tables S7 and S8 list the variables associated with hospital LOS and their corresponding odds ratios for the entire cohort and subgroup, respectively; Tables S9 and S10 list the variables associated with the likelihood of an invasive procedure being performed and their corresponding odds ratios for the entire cohort and subgroup, respectively; and Tables S11 and S12 list the variables associated with the likelihood of changing a patient’s code status to DNR and their corresponding odds ratios for the entire cohort and subgroup, respectively.

Click here for file(134K, doc)NotesSee related commentary by Garland, http://ccforum.com/content/14/1/108 and related letter by Braun and Spies, http://ccforum.