OBJECTIVE: To determine if a difference in survival exists between children of different racial/ethnic groups who were admitted to the PICU, after controlling for severity of illness (pediatric index of mortality 2). METHODS: We used the largest national clinical PICU database (Virtual PICU Performance System) with data from 31 hospitals, from 2005 to 2008. Children 18 years and younger were included. We collected demographic, pediatric index of mortality 2, diagnosis, and PICU mortality data. Logistic regression models were constructed to identify PICU mortality risk factors. RESULTS: The analysis of 80 739 patients revealed that, after controlling for severity of illness, being female (odds ratio [OR]: 1.12 [95% confidence interval (CI): 1.02-1.24] P = .019), 1 month or younger (OR: 1.39 [95% CI: 1.17-1.65] P < .001) or 12 years or older (OR: 1.34 [95% CI: 1.17-1.52] P < .001), or having an infectious diagnosis (OR: 2.22 [95% CI: 1.83-2.71] P < .001) or oncologic diagnosis (OR: 1.50 [95% CI: 1.14-1.99] P = .004) increased PICU mortality. Having "other" insurance type (OR: 1.58 [95% CI: 1.11-2.24] P = .010) or being Asian/Indian/Pacific Islander (OR: 1.35 [95% CI: 1.01-1.81] P = .042) seemed also to be mortality risk factors; however, because of heterogeneity and small group sizes (1.7% and 2.5% of the study population, respectively), these results are inconclusive. CONCLUSIONS: Although gender, age, and diagnosis showed an effect on severity of illness-adjusted PICU mortality, race/ethnicity did not. Additional investigation is warranted because the present results (ie, insurance type) may be proxy measurements for other influences not collected in this database, such as sociocultural and socioeconomic factors.
OBJECTIVE: To determine if a difference in survival exists between children of different racial/ethnic groups who were admitted to the PICU, after controlling for severity of illness (pediatric index of mortality 2). METHODS: We used the largest national clinical PICU database (Virtual PICU Performance System) with data from 31 hospitals, from 2005 to 2008. Children 18 years and younger were included. We collected demographic, pediatric index of mortality 2, diagnosis, and PICU mortality data. Logistic regression models were constructed to identify PICU mortality risk factors. RESULTS: The analysis of 80 739 patients revealed that, after controlling for severity of illness, being female (odds ratio [OR]: 1.12 [95% confidence interval (CI): 1.02-1.24] P = .019), 1 month or younger (OR: 1.39 [95% CI: 1.17-1.65] P < .001) or 12 years or older (OR: 1.34 [95% CI: 1.17-1.52] P < .001), or having an infectious diagnosis (OR: 2.22 [95% CI: 1.83-2.71] P < .001) or oncologic diagnosis (OR: 1.50 [95% CI: 1.14-1.99] P = .004) increased PICU mortality. Having "other" insurance type (OR: 1.58 [95% CI: 1.11-2.24] P = .010) or being Asian/Indian/Pacific Islander (OR: 1.35 [95% CI: 1.01-1.81] P = .042) seemed also to be mortality risk factors; however, because of heterogeneity and small group sizes (1.7% and 2.5% of the study population, respectively), these results are inconclusive. CONCLUSIONS: Although gender, age, and diagnosis showed an effect on severity of illness-adjusted PICU mortality, race/ethnicity did not. Additional investigation is warranted because the present results (ie, insurance type) may be proxy measurements for other influences not collected in this database, such as sociocultural and socioeconomic factors.
Authors: L Vogiatzi; S Ilia; G Sideri; E Vagelakoudi; M Vassilopoulou; M Sdougka; G Briassoulis; I Papadatos; P Kalabalikis; L Sianidou; E Roilides Journal: Intensive Care Med Date: 2013-08-14 Impact factor: 17.440
Authors: Robinder G Khemani; Lincoln Smith; Yolanda M Lopez-Fernandez; Jeni Kwok; Rica Morzov; Margaret J Klein; Nadir Yehya; Douglas Willson; Martin C J Kneyber; Jon Lillie; Analia Fernandez; Christopher J L Newth; Philippe Jouvet; Neal J Thomas Journal: Lancet Respir Med Date: 2018-10-22 Impact factor: 30.700
Authors: David Epstein; Michael Reibel; Jennifer B Unger; Myles Cockburn; Loraine A Escobedo; David C Kale; Jennifer C Chang; Jeffrey I Gold Journal: J Community Health Date: 2014-08
Authors: Franz Ratzinger; Michel Dedeyan; Matthias Rammerstorfer; Thomas Perkmann; Heinz Burgmann; Athanasios Makristathis; Georg Dorffner; Felix Loetsch; Alexander Blacky; Michael Ramharter Journal: Sci Rep Date: 2015-11-02 Impact factor: 4.379