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Sleep Disorders |

Do Pittsburgh Sleep Quality Index Scores and Epworth Sleepiness Scale Scores Correlate in a Patient Population Referred for Polysomnography?

Prosanta Mondal, MS; John Gjevre*, MD; Regina Taylor-Gjevre, MD; Hyun Lim, PhD
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University of Saskatchewan, Saskatoon, SK, Canada


Chest. 2012;142(4_MeetingAbstracts):1063A. doi:10.1378/chest.1389225
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Abstract

SESSION TYPE: Sleep Posters

PRESENTED ON: Wednesday, October 24, 2012 at 01:30 PM - 02:30 PM

PURPOSE: Sleep-disordered breathing (SDB) is a major public health concern. There are limited resources to investigate individuals and it is useful to prioritize patients into high versus low risk for SDB using sleep questionnaires. In this study, we assessed the relationship between two commonly employed sleep questionnaires, the Pittsburg Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) in a patient population referred to a sleep laboratory.

METHODS: All patients referred to a university sleep disorders laboratory between January 1 and May 1, 2011 were reviewed for the study. The charts were retrospectively reviewed by a single investigator. Standard sleep questionnaire data (PSQI & ESS) were analyzed using SAS statistical software. A total of 248 patients (181 men, 67 women) were included.

RESULTS: The overall mean PSQI score was 8.5 (SD 4.2) and median was 8. The mean and median ESS scores were 9.1 (SD 4.9 and 9, respectively). The PSQI scores for 176 patients were abnormal (>5) indicating poor sleep quality. In 97 patients, the ESS was abnormal (>10) indicating hypersomnolence. The correlation coeffienct between PSQI and ESS was 0.12 (p=0.055). However the correlation coefficient between the "daytime dysfunction" component of PSQI global score and ESS was 0.42 (p<0.0001). Chi-square showed a significant gender difference for PSQI with a higher proportion of the women scoring in the high PSQI group (P=0.002). Neither PSQI or ESS scores correlated well with the PSG apnea-hypopnea index (AHI). There was good correlation between body mass index (BMI) & AHI.

CONCLUSIONS: In this sleep laboratory patient population at high risk for SDB, the daytime dysfunction component of the PSQI correlated well with the ESS. A higher proportion of female patients had an abnormal PSQI.

CLINICAL IMPLICATIONS: Different sleep questionnaire instruments may measure different aspects of sleep health. The daytime dysfunction domain within the PSQI correlated well with the ESS scores. However, the global PSQI score may be misleading in assessment of SDB.

DISCLOSURE: The following authors have nothing to disclose: Prosanta Mondal, John Gjevre, Regina Taylor-Gjevre, Hyun Lim

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University of Saskatchewan, Saskatoon, SK, Canada

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