English
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Clinical Orthopaedics and Related Research 2018-Nov

What Serum Lipid Abnormalities Are Associated with Adhesive Capsulitis Accompanied by Diabetes?

Only registered users can translate articles
Log In/Sign up
The link is saved to the clipboard
Hyung Bin Park
Ji-Yong Gwark
Jaehoon Jung

Keywords

Abstract

BACKGROUND

Adhesive capsulitis is common and can cause stiffness and pain. Diabetes and dyslipidemia are known to be associated with adhesive capsulitis. However, there is no report of any association between serum lipid profiles and adhesive capsulitis accompanied by diabetes.

UNASSIGNED

Which serum lipid abnormalities are associated with adhesive capsulitis accompanied by diabetes?

METHODS

This is a case-control study with two control groups. Our case group included 37 patients with newly diagnosed adhesive capsulitis accompanied by newly diagnosed diabetes who had no other diagnosed systemic diseases or rotator cuff tears. The two control groups each had 111 age- and sex-matched individuals with normal shoulder function (bilaterally pain-free, with full range of motion and no shoulder muscle weakness), no thyroid dysfunction, and no previously diagnosed systemic diseases. Individuals in the first control group had neither adhesive capsulitis nor diabetes. Individuals in the second control group had newly diagnosed diabetes without adhesive capsulitis. We evaluated any association between adhesive capsulitis accompanied by diabetes and serum lipid profile, including total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides, and nonhigh-density lipoprotein (nonHDL). Conditional logistic regression analysis was used to evaluate the strengths of associations between serum lipid levels and adhesive capsulitis accompanied by diabetes, as determined by odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Low-density lipoprotein and nonHDL were associated with adhesive capsulitis accompanied by diabetes. Specifically, patients with adhesive capsulitis and diabetes had greater odds ratios of hyperlow-density lipoproteinemia when compared with individuals with neither adhesive capsulitis nor diabetes (OR, 3.19; 95% CI, 1.21-8.38; p = 0.019) and when compared with individuals without adhesive capsulitis but with newly diagnosed diabetes (OR, 5.76; 95% CI, 1.67-19.83; p = 0.005). Similarly, patients with adhesive capsulitis accompanied by diabetes had greater odds ratios of hypernonhigh-density lipoproteinemia when compared with individuals with neither adhesive capsulitis nor diabetes (OR, 7.39; 95% CI, 2.72-20.09; p < 0.001) and when compared with individuals without adhesive capsulitis but with newly diagnosed diabetes (OR, 3.26; 95% CI, 1.40-7.61; p = 0.006).

CONCLUSIONS

Inflammatory lipoproteinemias, particularly hyperlow-density lipoproteinemia and hypernonhigh-density lipoproteinemia, are associated with adhesive capsulitis accompanied by diabetes. Further research is needed to evaluate whether inflammatory lipoproteinemias are a cause, a related cofactor, or an aggravating factor in the development of adhesive capsulitis in people who have diabetes.

METHODS

Level III, prognostic study.

Join our facebook page

The most complete medicinal herbs database backed by science

  • Works in 55 languages
  • Herbal cures backed by science
  • Herbs recognition by image
  • Interactive GPS map - tag herbs on location (coming soon)
  • Read scientific publications related to your search
  • Search medicinal herbs by their effects
  • Organize your interests and stay up do date with the news research, clinical trials and patents

Type a symptom or a disease and read about herbs that might help, type a herb and see diseases and symptoms it is used against.
*All information is based on published scientific research

Google Play badgeApp Store badge