Back

Validity of a novel excessive daytime sleepiness screening stool : the Yaounde Sleepiness Score.

MASSONGO, M.; Duthoit, L.; Balkissou, A. D.; Ngah Komo, M. E.; Kuaban, A.; Fry, S.; Pefura Yone, E. W.; Mallart, A.

2024-02-18 neurology
10.1101/2024.02.16.24302934 medRxiv
Show abstract

AbstractO_ST_ABSStudy objectiveC_ST_ABSThis study aimed to assess the validity of the Yaounde Sleepiness Scale (YSS), a new tool for excessive daytime sleepiness (EDS) screening, using Epworth Sleepiness Scale (ESS) as reference. MethodologyA 6-item questionnaire was assessed for content validity (based on sleep physiology, face validity (by 4 sleep specialists), criterion and construct validity (in a cross-sectional study led in Lille University Hospital). For criterion validity, we used Pearson correlation, area under the receiver operator characteristics (AUROC) curve and a graphical method to find the YSS thresholds. We performed a simple linear regression to seek the association between YSS and EDS predictors for construct validity. ResultsA total of 566 patients (mean age = 53.1 {+/-} 14.6 years, female = 47%) were enrolled. The mean YSS and ESS were 9.8 {+/-} 4.7 and 9.1 {+/-} 5.3, respectively. The Pearson correlation between YSS and ESS was 0.74% (p<0.0001). The AUROC curves (95% confidence interval, 95CI) for ESS- based EDS and severe EDS prediction were 0.856 (0.829 - 0.889) and 0.871 (0.829 - 0.913), respectively. The YSS thresholds for EDS and severe EDS were 9 and 15, respectively. The sensitivity and specificity of YSS were 92.3 (88.7 - 95.9)% and 60.6 (55.3 - 65.9)%. The YSS was positively associated with psychiatric conditions and psychotropic drugs use, and negatively with age. ConclusionWe found a good criterion validity of the YSS compared with ESS. This questionnaire could be proposed as an alternative to ESS.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.