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BACKGROUND: The risk factors of pulmonary edema induced by diving in healthy subjects are not well known. The aim of the present study was to assess the parameters contributing to the increase in extravascular lung water after diving. METHODS: This study was carried out in a professional diving institute. All divers participating in the teaching program from June 2012 to June 2014 were included in the study. Extravascular lung water was assessed using the detection of ultrasound lung comets (ULC) by chest ultrasonography. Clinical parameters and dive profiles were recorded using a questionnaire and a dive computer. RESULTS: One-hundred six divers were investigated after 263 dives. They used an open-circuit umbilical supplying compressed gas diving apparatus in 202 cases and a self-contained underwater breathing apparatus in 61 cases. A generalized linear mixed model analysis was performed which demonstrated that the dive induced a significant increase in ULC score (incidence rate ratio: 3.16). It also identified that the predictive variable of increased extravascular lung water after the dive was the exercise intensity at depth (z = 3.99, p < 0.0001). The other parameters studied such as the water temperature, dive profile, hyperoxic exposure, or anthropometric data were not associated with the increase in extravascular lung water after the dive. CONCLUSIONS: In this study, the exercise intensity was the main contributor to the increase in extravascular lung water in healthy divers. To improve the prevention of immersion pulmonary edema, the exercise intensity experienced during the dive should thus be adapted to the aerobic fitness level of the divers.
RESUMO
OBJECTIVES: Many patients with traumatic brain injury (TBI) report chronic fatigue, and previous studies showed a potential relationship between sleepiness and fatigue in these patients. Our study first looked at the impact of objective and subjective sleepiness on fatigue in patients with TBI. We then investigated how fatigue could affect driving performance in these patients. METHODS: Nocturnal polysomnography, the Fatigue Severity Scale (FSS), the Epworth Sleepiness Scale (ESS), and five 40-minute maintenance of wakefulness tests (MWT) were collected in 36 patients with TBI. Fitness to drive was assessed in a subsample of 22 patients compared to 22 matched controls during an hour simulated driving session. RESULTS: In patients with TBI, FSS, ESS, and mean MWT scores (+/-SD) were 27 +/- 10, 8 +/- 4, and 35 +/- 7 minutes vs 15 +/- 2.5, 5 +/- 3, and 37 +/- 5 minutes in controls. Patients with TBI reported more chronic fatigue (W = 99, p < 0.001) than controls, and, unlike in controls, the level of chronic fatigue was correlated to their MWT scores. Patients' driving performances were worse than the controls' (W = 79, p < 0.001). The best predictive factors of driving performance were fatigue scores and body mass index (multiple R = 0.458, 41.8% of explained variance). CONCLUSION: In patients with TBI, chronic fatigue is significantly related to subjective and objective levels of alertness, even though these levels are not highly pathologic. This might suggest that a small level of sleepiness (i.e., MWT scores between 33 and 39 minutes) worsens fatigue in these patients. Chronic fatigue and body mass index could predict driving simulator performance in patients with TBI.