OSA / CLINICAL PHENOME

How is obstructive sleep apnea associated with the clinical phenome?

Explore adjusted relationships between OSA severity or cross-domain phenotypes and diseases, laboratory patterns, medication fills, questionnaires, EHR-derived behaviors, procedures, and healthcare use in a sleep-clinic referral cohort.

Search diseases, labs, medications, behaviors, procedures, utilization, and questionnaires

Results identify the analysis family and coding system before opening evidence.

Two views of disease

Start with the scientific question

Existing diagnoses

Prevalence PheDAS

Odds ratios across 1,700+ PheCodes

New diagnoses during follow-up

Incidence PheDAS

Cause-specific hazard ratios across 1,000+ PheCodes

Phenotype taxonomy

Explore eight octant phenotypes

See how physiologic severity, symptoms, and comorbidity burden combine—and how the octants relate to incident outcomes.

Explore phenotypes →

Survival analysis

Trace cumulative incidence after index

Explore Aalen–Johansen curves by OSA severity or landmark CPAP adherence designed to address immortal-time bias.

Explore incidence curves →

Atlas index

Eight clinical lenses on OSA severity

AnalysisQuestionPrimary measureStatus

PheDAS Which diseases are already present?ORResearch preview

Incidence PheDAS Which diseases arise during follow-up?HRResearch preview

LabWAS How do laboratory values and ordering differ?β / OR / IRRArchived snapshot

MedWAS Which medication classes are filled?ORArchived snapshot

BehWAS How do EHR-derived behaviors differ?OR / βPreliminary

QWAS How do sleep-questionnaire responses differ?OR / βResearch preview

ProcWAS How do procedure rates differ?IRRArchived snapshot

UtilWAS How does healthcare use differ?OR / IRRReview needed

Interpret within the cohort.

“None” means AHI <5 among referred adults with sleep studies—not a population control. These results support hypothesis generation; they do not estimate population OSA prevalence or establish causality.

Read methods →