Identification Of Potential Markers For Cushing’s Disease

Endocr Pract. 2016 Jan 20. [Epub ahead of print]

Abstract

OBJECTIVE:

Cushing’s disease (CD) causes a wide variety of nonspecific symptoms, which may result in delayed diagnosis. It may be possible to uncover unusual combinations of otherwise common symptoms using ICD-9-CM codes. Our aim was to identify and evaluate dyads of clinical symptoms or conditions associated with CD.

METHODS:

We conducted a matched case-control study using a commercial healthcare insurance claims database, designed to compare the relative risk (RR) of individual conditions and dyad combinations of conditions among patients with CD versus matched non-CD controls.

RESULTS:

With expert endocrinologist input, we isolated 10 key conditions (localized adiposity, hirsutism, facial plethora, polycystic ovary syndrome, abnormal weight gain, hypokalemia, deep venous thrombosis, muscle weakness, female balding, osteoporosis) with RR varying from 5.1 for osteoporosis to 27.8 for hirsutism. The RR of dyads of these conditions ranged from 4.1 for psychiatric disorders/serious infections to 128.0 for hirsutism/fatigue in patients with vs. without CD. Construction of uncommon dyads resulted in further increases in RR beyond single condition analyses, such as osteoporosis alone had RR of 5.3, which increased to 8.3 with serious infections and to 52.0 with obesity.

CONCLUSION:

This study demonstrated that RR of any one of 10 key conditions selected by expert opinion was ≥5 times greater in CD compared to non-CD, and nearly all dyads had RR≥5. An uncommon dyad of osteoporosis and obesity had an RR of 52.0. If clinicians consider the diagnosis of CD when the highest-risk conditions are seen, identification of this rare disease may improve.

KEYWORDS:

Cushing’s disease; delay in diagnosis; disease markers; insurance claims; relative risk

PMID:
26789346
[PubMed – as supplied by publisher]

From http://www.ncbi.nlm.nih.gov/pubmed/26789346

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: