Tree-based algorithm for prehospital triage of polytrauma patients.

BACKGROUND: There is a need for better allocation of medical resources in polytrauma, by optimizing both the over and undertriage rates. The goal of this study is to provide a new working definition for polytrauma based on the prediction of the need for specialized trauma care. METHODS: This is a prospective, observational study, performed in a specialized trauma center in Paris. All consecutive patients admitted for a trauma at a major trauma center in Paris were included in the study. The primary outcome was the need for specialized trauma care as defined by the North American consensus. The explanatory variables included basic variables collected on scene. The modeling approach relied on recursive partitioning based decision trees. Its prediction performance was evaluated both internally and externally on a validation cohort, and compared to the MGAP (Mechanism, Glasgow coma scale, Age and Arterial pressure) score. MEASUREMENTS AND MAIN RESULTS: 1160 patients were included in the analysis over a 3-year period (2012-2014), out of which 41% needed specialized trauma care as defined by the recent US guidelines. The decision tree outperformed the MGAP and reached an area under the receiver operating characteristic curve of 0.82 [0.79-0.84]. This optimal decision rule was associated with a sensitivity of 0.94 [0.92-0.96], a specificity of 0.48 [0.44-0.52]. A conservative decision rule (refer to a trauma center all patient with a predicted probability ≥0.34) would result in an undertriage rate of 5.7% and an overtriage of 52.3% (respectively 7% and 64% in the validation cohort). CONCLUSIONS: Our tree-based decision algorithm is a user-friendly and reliable alternative to the preexisting scores, which offers good performance to predict the need for specialized trauma care.

Assessment of body cell mass at bedside in critically ill patients.

Critical illness affects body composition profoundly, especially body cell mass (BCM). BCM loss reflects lean tissue wasting and could be a nutritional marker in critically ill patients. However, BCM assessment with usual isotopic or tracer methods is impractical in intensive care units (ICUs). We aimed to modelize the BCM of critically ill patients using variables available at bedside. Fat-free mass (FFM), bone mineral (Mo), and extracellular water (ECW) of 49 critically ill patients were measured prospectively by dual-energy X-ray absorptiometry and multifrequency bioimpedance. BCM was estimated according to the four-compartment cellular level: BCM = FFM - (ECW/0.98) - (0.73 × Mo). Variables that might influence the BCM were assessed, and multivariable analysis using fractional polynomials was conducted to determine the relations between BCM and these data. Bootstrap resampling was then used to estimate the most stable model predicting BCM. BCM was 22.7 ± 5.4 kg. The most frequent model included height (cm), leg circumference (cm), weight shift (Δ) between ICU admission and body composition assessment (kg), and trunk length (cm) as a linear function: BCM (kg) = 0.266 × height + 0.287 × leg circumference + 0.305 × Δweight - 0.406 × trunk length - 13.52. The fraction of variance explained by this model (adjusted r(2)) was 46%. Including bioelectrical impedance analysis variables in the model did not improve BCM prediction. In summary, our results suggest that BCM can be estimated at bedside, with an error lower than ±20% in 90% subjects, on the basis of static (height, trunk length), less stable (leg circumference), and dynamic biometric variables (Δweight) for critically ill patients.

Biventricular assist device for scombroid poisoning with refractory myocardial dysfunction: a bridge to recovery.

UNLABELLED: We report the usefulness of biventricular mechanical circulatory support in a 36-yr-old woman with refractory myocardial dysfunction resulting from scombroid poisoning. DESIGN: Case report. SETTING: Medical and surgical university care units. PATIENT: A previously healthy 36-yr-old woman with severe myocardial dysfunction unresponsive to epinephrine (1.3 microg/kg/min) and dobutamine (18 microg/kg/min) after the ingestion of cooked fresh tuna. INTERVENTION: Implantation at day 3 of a biventricular assist device consisting of two paracorporeal pneumatic pumps set at 70 beats/min to reach an output of 5.6 L/min during 8 days. MAIN RESULTS: The biventricular mechanical circulatory assist device allowed weaning of the inotropic drugs, maintenance of end-organ function, and support of the patient until myocardial recovery. The patient was successfully explanted 11 days after ingestion. Cardiac function had totally recovered, but a stroke was noted. At 3-yrs follow-up, there was no cardiac or neurologic sequela. CONCLUSIONS: This report describes severe myocardial dysfunction secondary to scombroid poisoning and demonstrates the usefulness of a mechanical circulatory assist device as a bridge to recovery.