Development and validation of a pre-hospital “Red Flag” alert for activation of intra-hospital haemorrhage control response in blunt trauma

Hamada, Sophie; Rosa, Anne; Gauss, Tobias; Desclefs, Jean-Philippe; Raux, Mathieu; Harrois, Anatole; Follin, Arnaud; Cook, Fabrice; Boutonnet, Mathieu; Attias, Arié; Ausset, Sylvain; Dhonneur, Gilles; Langeron, Olivier; Paugam–Burtz, Catherine; Pirracchio, Romain; Riou, Bruno; Maurice, Guillaume de St; Vigué, Bernard; Rouquette, Alexandra; Duranteau, Jacques

doi:10.1186/s13054-018-2026-9

Cited by 60 publications

(48 citation statements)

References 48 publications

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“…Multicollinearity was avoided using Spearman correlation analyses between variables. Based on a previous study [17], variables with |r| > 0.8 in the Spearman correlation analysis were removed. However, the maximum value of the correlation coefficient in this study was r � 0.278.…”

Section: Discussionmentioning

confidence: 99%

Association between Chewing Problems and Sleep among Japanese Adults

Azuma

Irie

Watanabe

et al. 2019

International Journal of Dentistry

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An association between physical illness and sleep has been suggested. Disordered chewing might be a physical factor that is associated with sleep issues. This cross-sectional study aimed to determine whether chewing problems are associated with sleep in Japanese adults. Sleep and chewing issues were evaluated in 6,025 community residents using a self-reported questionnaire. The prevalence of poor sleep quality and sleeping for <6 h/day (short duration) were 15.6% and 29.4%, respectively. Multivariate logistic regression analyses showed that prevalence of poor sleep quality was significantly associated with self-reported medical history (odds ratio (OR), 1.30; p<0.001), self-reported symptoms (OR, 4.59; p<0.001), chewing problems (OR, 1.65; p<0.001), and poor glycemic control (OR, 1.43; p=0.035). The prevalence of short sleep duration was also significantly associated with female sex (OR, 1.23; p=0.001), self-reported symptoms (OR, 1.60; p<0.001), chewing problems (OR, 1.30; p=0.001), and being overweight (OR, 1.41; p<0.001). In conclusion, chewing problems were associated with poor sleep quality and short sleep duration among Japanese adults.

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Section: Discussionmentioning

confidence: 99%

Association between Chewing Problems and Sleep among Japanese Adults

Azuma

Irie

Watanabe

et al. 2019

International Journal of Dentistry

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“…In the database, hemorrhagic shock is defined by the transfusion of at least four units of packed red blood cells (RBC) within the first 6 h [14, 15]. Traumatic brain injury (TBI) is defined by at least one traumatic lesion on the initial cerebral CT scan.…”

Section: Methodsmentioning

confidence: 99%

Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study

Harrois¹,

Soyer²,

Gauss³

et al. 2018

Crit Care

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114

105

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BackgroundOrgan failure, including acute kidney injury (AKI), is the third leading cause of death after bleeding and brain injury in trauma patients. We sought to assess the prevalence, the risk factors and the impact of AKI on outcome after trauma.MethodsWe performed a retrospective analysis of prospectively collected data from a multicenter trauma registry. AKI was defined according to the risk, injury, failure, loss of kidney function and end-stage kidney disease (RIFLE) classification from serum creatinine only. Prehospital and early hospital risk factors for AKI were identified using logistic regression analysis. The predictive models were internally validated using bootstrapping resampling technique.ResultsWe included 3111 patients in the analysis. The incidence of AKI was 13% including 7% stage R, 3.7% stage I and 2.3% stage F. AKI incidence rose to 42.5% in patients presenting with hemorrhagic shock; 96% of AKI occurred within the 5 first days after trauma. In multivariate analysis, prehospital variables including minimum prehospital mean arterial pressure, maximum prehospital heart rate, secondary transfer to the trauma center and data early collected after hospital admission including injury severity score, renal trauma, blood lactate and hemorrhagic shock were independent risk factors in the models predicting AKI. The model had good discrimination with area under the receiver operating characteristic curve of 0.85 (0.82–0.88) to predict AKI stage I or F and 0.80 (0.77–0.83) to predict AKI of all stages. Rhabdomyolysis severity, assessed by the creatine kinase peak, was an additional independent risk factor for AKI when it was forced into the model (OR 1.041 (1.015–1.069) per step of 1000 U/mL, p < 0.001). AKI was independently associated with a twofold increase in ICU mortality.ConclusionsAKI has an early onset and is independently associated with mortality in trauma patients. Its prevalence varies by a factor 3 according to the severity of injuries and hemorrhage. Prehospital and early hospital risk factors can provide good performance for early prediction of AKI after trauma. Hence, studies aiming to prevent AKI should target patients at high risk of AKI and investigate therapies early in the course of trauma care.Electronic supplementary materialThe online version of this article (10.1186/s13054-018-2265-9) contains supplementary material, which is available to authorized users.

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“…Other independent variables with p < 0.05 in the univariate model were selected. In addition, a variable with |r| > 0.8 in the spearman correlation analysis of between each variable was removed to avoid multicollinearity 35 . The ORs and their 95% confidence intervals (95% CI) were calculated for each potential risk factor.…”

Section: Methodsmentioning

confidence: 99%

Association between eating behavior and poor glycemic control in Japanese adults

Iwasaki

Hirose

Azuma

et al. 2019

Sci Rep

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This study investigated the relationship between eating behavior and poor glycemic control in 5,479 Japanese adults with hemoglobin A1c (HbA1c) <6.5% who participated in health checks. Respondents to a 2013 baseline survey of eating behavior, including skipping breakfast and how quickly they consumed food were followed up until 2017. We defined poor glycemic control after follow-up as HbA1c ≥6.5%, or increases in HbA1c of ≥0.5% and/or being under medication to control diabetes. We identified 109 (2.0%) respondents who met these criteria for poor glycemic control. After adjusting for sex, age, smoking status, body mass index (BMI), and eating behavior, the risk of poor glycemic control was increased in males (odds ratio [OR], 2.38; 95% confidence interval [CI] 1.37–4.12; p < 0.01), and associated with being older (OR, 1.07; 95% CI, 1.04–1.11; p < 0.001), having a higher BMI (OR, 1.29; 95% CI 1.23–1.35; p < 0.001), skipping breakfast ≥3 times/week (OR, 2.44; 95% CI, 1.35–4.41; p < 0.01), and changing from eating slowly or at medium speed to eating quickly (OR, 2.11; 95% CI, 1.04–4.26; p < 0.05). In conclusion, Japanese adults who were male, older, had a high BMI, skipped breakfast ≥3 times/week and ate quickly were at increased risk for poor glycemic control.

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Development and validation of a pre-hospital “Red Flag” alert for activation of intra-hospital haemorrhage control response in blunt trauma

Cited by 60 publications

References 48 publications

Association between Chewing Problems and Sleep among Japanese Adults

Association between Chewing Problems and Sleep among Japanese Adults

Prevalence and risk factors for acute kidney injury among trauma patients: a multicenter cohort study

Association between eating behavior and poor glycemic control in Japanese adults

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