Influenza and Other Respiratory Virus Weekly Activity Report, October 18, 2008, Week 42

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, October 11, 2008, Week 41

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, May 29, 2009, revised Week 20

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, May 30, 2009, revised Week 21

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, June 13, 2009, revised Week 23

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, June 6, 2009, Week 22

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, June 27, 2009, Week 25

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, June 20, 2009, Week 24

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, July 4, 2009, Week 26

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Influenza and Other Respiratory Virus Weekly Activity Report, July 11, 2009, Week 27

Weekly report of the Iowa Influenza Surveillance Network produced by the Iowa Department of Public Health.

Décubitus ventral et syndrome de détresse respiratoire aiguë de l'adulte: de la théorie à la pratique [Prone position mechanical ventilation in the Acute Respiratory Distress syndrome: theoretical and practical considerations].

Mortality of the acute respiratory distress syndrome (ARDS) remains extremely high and only few evidence-based specific treatments are currently available. Protective mechanical ventilation has emerged as the comer stone of the management of ARDS to avoid the occurrence of ventilation-induced lung injuries (VILI). Mechanical ventilation in the prone position has often been considered as a rescue therapy reserved to refractory hypoxemia. Since the publication of the PROSEVA study in 2013, early prone positioning for mechanical ventilation should be recommended to improve survival of patients with severe ARDS. In this article, both the theoretical and practical aspects of mechanical ventilation in prone position are reviewed.

Which clinical signs predict hypoxaemia in young Senegalese children with acute lower respiratory tract disease?

BACKGROUND: Acute lower respiratory tract diseases are an important cause of mortality in children in resource-limited settings. In the absence of pulse oximetry, clinicians rely on clinical signs to detect hypoxaemia. OBJECTIVE: To assess the diagnostic value of clinical signs of hypoxaemia in children aged 2 months to 5 years with acute lower respiratory tract disease. METHODS: Seventy children with a history of cough and signs of respiratory distress were enrolled. Three experienced physicians recorded clinical signs and oxygen saturation by pulse oximetry. Hypoxaemia was defined as oxygen saturation <90%. Clinical predictors of hypoxaemia were evaluated using adjusted diagnostic odds ratios (aDOR). RESULTS: There was a 43% prevalence of hypoxaemia. An initial visual impression of poor general status [aDOR 20·0, 95% CI 3·8-106], severe chest-indrawing (aDOR 9·8, 95% CI 1·5-65), audible grunting (aDOR 6·9, 95% CI 1·4-25) and cyanosis (aDOR 26·5, 95% CI 1·1-677) were significant predictors of hypoxaemia. CONCLUSION: In children under 5 years of age, several simple clinical signs are reliable predictors of hypoxaemia. These should be included in diagnostic guidelines.

Hemoglobin concentration and cerebral metabolism in patients with aneurysmal subarachnoid hemorrhage.

BACKGROUND AND PURPOSE: The optimal hemoglobin (Hgb) target after aneurysmal subarachnoid hemorrhage is not precisely known. We sought to examine the threshold of Hgb concentration associated with an increased risk of cerebral metabolic dysfunction in patients with poor-grade subarachnoid hemorrhage. METHODS: Twenty consecutive patients with poor-grade subarachnoid hemorrhage who underwent multimodality neuromonitoring (intracranial pressure, brain tissue oxygen tension, cerebral microdialysis) were studied prospectively. Brain tissue oxygen tension and extracellular lactate/pyruvate ratio were used as markers of cerebral metabolic dysfunction and the relationship between Hgb concentrations and the incidence of brain hypoxia (defined by a brain tissue oxygen tension <20 mm Hg) and cell energy dysfunction (defined by a lactate/pyruvate ratio >40) was analyzed. RESULTS: Compared with higher Hgb concentrations, a Hgb concentration <9 g/dL was associated with lower brain tissue oxygen tension (27.2 [interquartile range, 21.2 to 33.1] versus 19.9 [interquartile range, 7.1 to 33.1] mm Hg, P=0.02), higher lactate/pyruvate ratio (29 [interquartile range, 25 to 38] versus 36 [interquartile range, 26 to 59], P=0.16), and an increased incidence of brain hypoxia (21% versus 52%, P<0.01) and cell energy dysfunction (23% versus 43%, P=0.03). On multivariable analysis, a Hgb concentration <9 g/dL was associated with a higher risk of brain hypoxia (OR, 7.92; 95% CI, 2.32 to 27.09; P<0.01) and cell energy dysfunction (OR, 4.24; 95% CI, 1.33 to 13.55; P=0.02) after adjusting for cerebral perfusion pressure, central venous pressure, PaO(2)/FIO(2) ratio, and symptomatic vasospasm. CONCLUSIONS: A Hgb concentration <9 g/dL is associated with an increased incidence of brain hypoxia and cell energy dysfunction in patients with poor-grade subarachnoid hemorrhage.

Meal-induced thermogenesis and obesity: is a fat meal a risk factor for fat gain in children?

Diet composition, in particular fat intake, has been suggested to be a risk factor for obesity in humans. Several mechanisms may contribute to explain the impact of fat intake on fat gain. One factor may be the low thermogenesis induced by a mixed meal rich in fat. In a group of 11 girls (10.1 +/- 0.3 yr), 6 obese (body mass index, 25.6 +/- 0.6 kg/m(2)), and 5 nonobese (body mass index, 19 +/- 1.6 kg/m(2)), we tested the hypothesis that a mixed meal rich in fat can elicit energy saving compared with an isocaloric and isoproteic meal rich in carbohydrate. The postabsorptive resting energy expenditure and the thermic effect of a meal (TEM) after a low fat (LF; 20% fat, 68% carbohydrate, and 12% protein) or an isocaloric (2500 kJ or 600 Cal) and isoproteic high fat (HF; 48% fat, 40% carbohydrate, and 12% protein) meal were measured by indirect calorimetry. Each girl repeated the test with a different, randomly assigned menu (HF or LF) 1 week after the first test. TEM, expressed as a percentage of energy intake was significantly higher after a LF meal than after a HF meal (6.5 +/- 0.7% vs. 4.3 +/- 0.4%; P < 0.01). The postprandial respiratory quotient (RQ) was significantly higher after a LF meal than after a HF meal (0.86 +/- 0.013 vs. 0.83 +/- 0.014; P < 0.001). The HF low carbohydrate meal induced a significantly lower increase in carbohydrate oxidation than the LF meal (20.3 +/- 6.2 vs. 61.3 +/- 7.8 mg/min; P < 0.001). On the contrary, fat oxidation was significantly higher after a HF meal than after a LF meal (-1.3 +/- 2.4 vs. -15.1 +/- 3.6 mg/min; P < 0.01). However, the postprandial fat storage was 8-fold higher after a HF meal than after a LF meal (17.2 +/- 1.7 vs. 1.9 +/- 1.8 g; P < 0.001). These results suggest that a high fat meal is able to induce lower thermogenesis and a higher positive fat balance than an isocaloric and isoproteic low fat meal. Therefore, diet composition per se must be taken into account among the various risk factors that induce obesity in children.