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Liver Enlargement Predicts Obstructive Sleep Apnea–Hypopnea Syndrome in Morbidly Obese Women

Overview of attention for article published in Frontiers in endocrinology, June 2018
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Title
Liver Enlargement Predicts Obstructive Sleep Apnea–Hypopnea Syndrome in Morbidly Obese Women
Published in
Frontiers in endocrinology, June 2018
DOI 10.3389/fendo.2018.00293
Pubmed ID
Authors

Giovanna Scartabelli, Giorgia Querci, Letizia Marconi, Giovanni Ceccarini, Paolo Piaggi, Paola Fierabracci, Guido Salvetti, Giovanni Cizza, Salvatore Mazzeo, Jacopo Vitti, Slava Berger, Antonio Palla, Ferruccio Santini

Abstract

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is frequently present in patients with severe obesity, but its prevalence especially in women is not well defined. OSAHS and non-alcoholic fatty liver disease are common conditions, frequently associated in patients with central obesity and metabolic syndrome and are both the result of the accumulation of ectopic fat mass. Identifying predictors of risk of OSAHS may be useful to select the subjects requiring instrumental sleep evaluation. In this cross-sectional study, we have investigated the potential role of hepatic left lobe volume (HLLV) in predicting the presence of OSAHS. OSAHS was quantified by the apnea/hypopnea index (AHI) and oxygen desaturation index in a cardiorespiratory inpatient sleep study of 97 obese women [age: 47 ± 11 years body mass index (BMI): 50 ± 8 kg/m2]. OSAHS was diagnosed when AHI was ≥5. HLLV, subcutaneous and intra-abdominal fat were measured by ultrasound. After adjustment for age and BMI, both HLLV and neck circumference (NC) were independent predictors of AHI. OSAHS was found in 72% of patients; HLLV ≥ 370 cm3 was a predictor of OSAHS with a sensitivity of 66%, a specificity of 70%, a positive and negative predictive values of 85 and 44%, respectively (AUC = 0.67, p < 0.005). A multivariate logistic model was used including age, BMI, NC, and HLLV (the only independent predictors of AHI in a multiple linear regression analyses), and a cut off value for the predicted probability of OSAHS equal to 0.7 provided the best diagnostic results (AUC = 0.79, p < 0.005) in terms of sensitivity (76%), specificity (89%), negative and positive predictive values (59 and 95%, respectively). All patients with severe OSAHS were identified by this prediction model. In conclusion, HLLV, an established index of visceral adiposity, represents an anthropometric parameter closely associated with OSAHS in severely obese women.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Other 2 6%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 13 39%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Social Sciences 2 6%
Unspecified 1 3%
Other 1 3%
Unknown 15 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2018.
All research outputs
#21,110,894
of 25,932,719 outputs
Outputs from Frontiers in endocrinology
#6,928
of 13,317 outputs
Outputs of similar age
#268,877
of 344,213 outputs
Outputs of similar age from Frontiers in endocrinology
#146
of 219 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,317 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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