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Calculated - Total score based on an 8-item questionnaires ranking likelihood of dozing off Johns MW 1991 (PubMed ID: 1798888). Scale 0-3 for individual items; 0 to 24 for overall score. Search for all ESS variables within this dataset

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variables from all datasets **ess_total** - Total score of
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Calculated - Total score based on an 8-item questionnaires ranking likelihood of dozing off Johns MW 1991 (PubMed ID: 1798888). Scale 0-3 for individual items; 0 to 24 for overall score. There are three categories: <10=normal, ?10=sleepy, ?18=very sleepy. Search for all ESS variables within this dataset

Calculated - Total score based on an 8-item questionnaires ranking likelihood of dozing off Johns MW 1991 (PubMed ID: 1798888). Scale 0-3 for individual items; 0 to 24 for overall score. Algorithm: The ESS_SUENO is computed by adding ALL 8 ITEMS (SPEA12A TO SPEA12H). If any item is missing then ESS_SUENO is missing. Warning: The levels of each item need to be recoded as follows: No chance (from 1 to 0), slight chance (from 2 to 1), moderate chance (from 3 to 2) and high chance (from 4 to 3).Search for all ESS variables within this dataset

Calculated - Total score based on an 8-item questionnaire ranking likelihood of dozing off Johns MW 1991 (PubMed ID: 1798888). Scale 0-3 for individual items; 0 to 24 for overall score.Search for all ESS variables within this dataset

Calculated - Total score based on an 8-item questionnaires ranking likelihood of dozing off Johns MW 1991 (PubMed ID: 1798888). Scale 0-3 for individual items; 0 to 24 for overall score. Algorithm: The ESS is computed by adding ALL 8 ITEMS (SLEA12A TO SLEA12H). If any item is missing then ESS is missing. Warning: The levels of each item need to be recoded as follows: No chance (from 1 to 0), slight chance (from 2 to 1), moderate chance (from 3 to 2) and high chance (from 4 to 3).Search for all ESS variables within this dataset

Excessive daytime sleepiness, as defined as an ESS score greater than or equal to 10

The sum of items 1-10.

The sum of items 1-8.

The sum of items 1-7 and 9.

A patient's apnea-hypopnea index (AHI) determines whether or not they
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