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1.
Travel Med Infect Dis ; 49: 102356, 2022.
Article En | MEDLINE | ID: mdl-35589007

BACKGROUND: Overall, more than 50% of international travelers develop symptoms while traveling and 55% of them seek medical assistance during the trip. We conducted a study to evaluate the usefulness of a Smartphone app called TRIP Doctor® to provide telemedicine to international travelers. METHODS: Participants over 18 years old attending our travel clinic at Hospital Clinic in Barcelona were invited to participate during 2017-2019. After downloading the app, the health status of the traveler was monitored on a daily basis, providing specific medical advice and offering remote contact with specialized physicians through an integrated chat, if needed. RESULTS: From 449 users, 59 (13%) contacted for medical assistance through the app during the trip. Main reasons for telemedicine were diarrhea (25.7%), skin conditions (19.7%) and fever (12.1%). Among patients who contacted, 90% of the travelers did not require to be referred to a local doctor. Symptomatic treatment was the main treatment prescribed (38%). In a 14.7% of the cases a follow-up was not required, a 63.2% recovered and 22.1% were loss of follow-up. After a multivariate analysis, duration of trip >14 days was found to be the only factor associated with the use of telemedicine (OR 2.2, CI 95% 1.1-4.5, p = 0.03). CONCLUSION: In conclusion, travelers using telemedicine travelled for longer periods of time and mostly contacted for mild symptoms which could be solved successfully by remote assistance with our specialized doctors.


Mobile Applications , Physicians , Telemedicine , Adolescent , Humans , Smartphone , Travel
2.
Nutr Metab Cardiovasc Dis ; 27(9): 792-798, 2017 Sep.
Article En | MEDLINE | ID: mdl-28756972

BACKGROUND AND AIM: Blood pressure displays a seasonal pattern. Whether this pattern is related to high sodium and/or low potassium intakes has not been investigated. We assessed if sodium and potassium consumption present a seasonal pattern. We also simulated the impact of seasonality of sodium consumption on systolic blood pressure levels. METHODS AND RESULTS: Data from three Swiss population-based studies (n = 2845). Sodium and potassium consumption were assessed by urinary excretion using 24 h urine collection. Seasonality was assessed using the cosinor model and was adjusted for study, gender, age, body mass index, antihypertensive drug treatment, urinary creatinine and atmospheric relative humidity. The effect of sodium variation on blood pressure levels was estimated using data from a recent meta-analysis. Both sodium and potassium excretions showed a seasonal pattern. For sodium, the nadir occurred between August and October, and the peak between February and April, with a multivariate-adjusted seasonal variation (difference between peak and nadir) of 9.2 mmol. For potassium, the nadir occurred in October and the peak in April, with a multivariate-adjusted seasonal variation of 4.0 mmol. Excluding participants on antihypertensive drug treatment or stratifying the analysis by gender cancelled the seasonality of sodium consumption. The maximum impact of the seasonal variation in sodium consumption on systolic blood pressure ranged from 0.4 to 1.1 mm Hg, depending on the model considered. CONCLUSION: Sodium and potassium consumptions present specific seasonal variations. These variations do not explain the seasonal variations in blood pressure levels.


Potassium, Dietary/administration & dosage , Seasons , Sodium, Dietary/administration & dosage , Adolescent , Adult , Aged , Aged, 80 and over , Biomarkers/urine , Blood Pressure , Cross-Sectional Studies , Humans , Hypertension/diagnosis , Hypertension/epidemiology , Hypertension/physiopathology , Middle Aged , Potassium, Dietary/urine , Sodium, Dietary/urine , Switzerland/epidemiology , Time Factors , Young Adult
4.
PLoS One ; 12(5): e0175776, 2017.
Article En | MEDLINE | ID: mdl-28472035

1-Deoxysphingolipids (1-deoxySLs) are atypical sphingolipids, which are formed in a side reaction during sphingolipid de-novo synthesis. Recently, we demonstrated that 1-deoxySLs are biomarkers for the prediction of T2DM in obese, non-diabetic patients. Here we investigated the relevance of 1-deoxySLs as long-term predictive biomarkers for the incidence of T2DM in an asymptomatic population. Here, we analyzed the plasma sphingoid base profile in a nested group of non-diabetic individuals (N = 605) selected from a population-based study including 5 year follow-up data (CoLaus study). 1-DeoxySLs at baseline were significantly elevated in individuals who developed T2DM during the follow-up (p<0.001), together with increased glucose (p<5.11E-14), triglycerides (p<0.001) and HOMA-IR indices (p<0.001). 1-Deoxy-sphinganine (1-deoxySA) and 1-deoxy-sphingosine (1-deoxySO) were predictive for T2DM, even after adjusting for fasting glucose levels in the binary regression analyses. The predictive value of the combined markers 1-deoxySA+glucose were superior to glucose alone in normal-weight subjects (p<0.001) but decreased substantially with increasing BMI. Instead, plasma adiponectin and waist-to-hip ratio appeared to be better risk predictors for obese individuals (BMI>30kg/m2). In conclusion, elevated plasma 1-deoxySL levels are strong and independent risk predictors of future T2DM, especially for non-obese individuals in the general population.


Biomarkers/blood , Diabetes Mellitus, Type 2/blood , Sphingolipids/blood , Aged , Blood Glucose/metabolism , Female , Humans , Male , Middle Aged
5.
Lancet Respir Med ; 3(4): 310-8, 2015 Apr.
Article En | MEDLINE | ID: mdl-25682233

BACKGROUND: Sleep-disordered breathing is associated with major morbidity and mortality. However, its prevalence has mainly been selectively studied in populations at risk for sleep-disordered breathing or cardiovascular diseases. Taking into account improvements in recording techniques and new criteria used to define respiratory events, we aimed to assess the prevalence of sleep-disordered breathing and associated clinical features in a large population-based sample. METHODS: Between Sept 1, 2009, and June 30, 2013, we did a population-based study (HypnoLaus) in Lausanne, Switzerland. We invited a cohort of 3043 consecutive participants of the CoLaus/PsyCoLaus study to take part. Polysomnography data from 2121 people were included in the final analysis. 1024 (48%) participants were men, with a median age of 57 years (IQR 49-68, range 40-85) and mean body-mass index (BMI) of 25·6 kg/m(2) (SD 4·1). Participants underwent complete polysomnographic recordings at home and had extensive phenotyping for diabetes, hypertension, metabolic syndrome, and depression. The primary outcome was prevalence of sleep-disordered breathing, assessed by the apnoea-hypopnoea index. FINDINGS: The median apnoea-hypopnoea index was 6·9 events per h (IQR 2·7-14·1) in women and 14·9 per h (7·2-27·1) in men. The prevalence of moderate-to-severe sleep-disordered breathing (≥15 events per h) was 23·4% (95% CI 20·9-26·0) in women and 49·7% (46·6-52·8) in men. After multivariable adjustment, the upper quartile for the apnoea-hypopnoea index (>20·6 events per h) was associated independently with the presence of hypertension (odds ratio 1·60, 95% CI 1·14-2·26; p=0·0292 for trend across severity quartiles), diabetes (2·00, 1·05-3·99; p=0·0467), metabolic syndrome (2·80, 1·86-4·29; p<0·0001), and depression (1·92, 1·01-3·64; p=0·0292). INTERPRETATION: The high prevalence of sleep-disordered breathing recorded in our population-based sample might be attributable to the increased sensitivity of current recording techniques and scoring criteria. These results suggest that sleep-disordered breathing is highly prevalent, with important public health outcomes, and that the definition of the disorder should be revised. FUNDING: Faculty of Biology and Medicine of Lausanne, Lausanne University Hospital, Swiss National Science Foundation, Leenaards Foundation, GlaxoSmithKline, Ligue Pulmonaire Vaudoise.


Depression/epidemiology , Diabetes Mellitus/epidemiology , Hypertension/epidemiology , Metabolic Syndrome/epidemiology , Sleep Apnea, Central/epidemiology , Sleep Apnea, Obstructive/epidemiology , Adult , Age Distribution , Aged , Aged, 80 and over , Alcohol Drinking/epidemiology , Body Mass Index , Female , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Overweight/epidemiology , Polysomnography , Prevalence , Risk Factors , Severity of Illness Index , Sleep Apnea Syndromes/epidemiology , Smoking/epidemiology , Switzerland/epidemiology
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