Edmonton obesity staging system among pediatric patients: a validation and obesogenic risk factor analysis

PURPOSE

The Edmonton Obesity Staging System for Pediatrics (EOSS-P) is a useful tool, delineating different obesity severity tiers associated with distinct treatment barriers. The aim of the study was to apply the EOSS-P on a Greek pediatric cohort and assess risk factors associated with each stage, compared to normal weight controls.

METHODS

A total of 361 children (2-14 years old), outpatients of an Athenian hospital, participated in this case-control study by forming two groups: the obese (n = 203) and the normoweight controls (n = 158). Anthropometry, blood pressure, blood and biochemical markers, comorbidities and obesogenic lifestyle parameters were recorded and the EOSS-P was applied. Validation of EOSS-P stages was conducted by juxtaposing them with IOTF-defined weight status. Obesogenic risk factors' analysis was conducted by constructing gender-and-age-adjusted (GA) and multivariate logistic models.

RESULTS

The majority of obese children were stratified at stage 1 (46.0%), 17.0% were on stage 0, and 37.0% on stage 2. The validation analysis revealed that EOSS-P stages greater than 0 were associated with diastolic blood pressure and levels of glucose, cholesterol, LDL and ALT. Reduced obesity odds were observed among children playing outdoors and increased odds for every screen time hour, both in the GA and in the multivariate analyses (all P < 0.05). Although participation in sports > 2 times/week was associated with reduced obesity odds in the GA analysis (OR = 0.57, 95% CI = 0.33-0.98, P linear = 0.047), it lost its significance in the multivariate analysis (P linear = 0.145). Analogous results were recorded in the analyses of the abovementioned physical activity risk factors for the EOSS-P stages. Linear relationships were observed for fast-food consumption and IOTF-defined obesity and higher than 0 EOSS-P stages. Parental obesity status was associated with all EOSS-P stages and IOTF-defined obesity status.

CONCLUSIONS

Few outpatients were healthy obese (stage 0), while the majority exhibited several comorbidities. Since each obesity tier entails different impacts to disease management, the study herein highlights modifiable factors facilitating descend to lower stages, and provides insight for designing tailored approaches tackling the high national pediatric obesity rates.

Acute and chronic paediatric intensive care patients: current trends and perspectives on resource utilization

BACKGROUND

Advances in paediatric critical care have resulted in increased survival of critically ill patients, many of whom require long-term ventilation as a means of life support.

AIM

To determine current trends in resource utilization, and problems in the care of acute and chronic paediatric intensive care patients.

DESIGN

Open observational study.

METHODS

We evaluated consecutive admissions (n = 1629) to a 10-bed paediatric intensive care unit (PICU) over a 5-year period. Three previously defined criteria for resource utilization were used: mean length of stay (LOS); length of mechanical ventilation (LOMV); and LOMV/LOS ratio.

RESULTS

A total of 10 310 patient bed days and 5223 ventilator days were used. Mean LOS increased from 5.3 +/- 12 days in 1998 to 8.7 +/- 27 days in 2001 (p < 0.05). Although LOMV/LOS ratio (50.7%) was significantly correlated with Paediatric Risk of Mortality score (p < 0.0001), there was no significant change in mortality rate (12.6% vs. 12%). Patients hospitalized for >2 weeks (n = 320, 20%) used 55% of LOS and 57% of LOMV, in contrast to the 1298 (80%) hospitalized for <7 days, who used only 29% of LOS and 20% of LOMV. Patients hospitalized for >3 months (11, 0.7%) consumed 17% of LOS and 23% of LOMV. Five of these (45%) were eventually discharged home, two on ventilators.

CONCLUSION

The increasing trend of occupation of PICU bed and ventilator days by critically ill children may be related to the increasing trend for hospitalization of chronic care patients. Severity scoring systems were predictive of resource consumption, but not of the overall trend in mortality rate.