The diagnosis of longus colli tendinitis (LCT) is sometimes challenging, especially when laboratory data show marked inflammation and neuroimaging studies do not indicate calcification within the tendon of the longus colli muscles. We herein report a case of LCT that presented with elevated inflammation parameters without calcification on imaging. Findings characteristic of LCT, such as prevertebral hyperintensity areas on T2-weighted images and no signs of purulent diseases, informed our diagnosis of LCT. Enhanced computed tomography and magnetic resonance imaging are useful procedures when diagnosing LCT after ruling out other critical purulent diseases.
Sleep disordered breathing (SDB) is associated with hypertension, poor glycemic control and dyslipidemia. In general, apnea events are more prominent during rapid eye movement (REM) sleep than non-REM (NREM) sleep. Reportedly, only REM-AHI is associated with hypertension and HbA1c. We examined which SDB parameters are associated with BP, HbA1c and lipid profile in type 2 diabetes (T2D) patients.
We analyzed 185 T2D patients who underwent polysomnography after excluding patients with pulmonary diseases, central sleep apnea, treated SDB or REM sleep < 30 minutes. We performed multiple linear regression analyses to predict BP, HbA1c and lipid profiles adjusted for known risk factors.
Patients characteristics (mean±SD/median(IQR)): age 58.0 ± 11.8 yo, BMI 26.0 (24.1-28.9) kg/m2, systolic BP 134 ± 19.1 mmHg, mean BP 97.5 ± 13.8 mmHg, HbA1c 7.4 (6.8-8.4) %, TG 143 (97-195) mg/dL, non-HDL cholesterol 143 (120-163) mg/dL, REM-AHI 35.1 (21.1-53.1) /h. The analyses revealed REM-AHI was independently associated with systolic and mean BP whereas NREM-AHI was not (Fig. 1). No statistically significant association was observed between REM-AHI and HbA1c or lipid profile.
REM-AHI was associated with systolic and mean BP in T2D patients. BP alteration associated with SDB during REM sleep may be an important pathophysiology linking between SDB and cardiovascular diseases.
Disclosure
T. Uchida: None. A. Nishimura: None. S. Kikuno: None. K. Nagasawa: None. M. Okubo: None. T. Kasai: None. K. Narui: None. Y. Mori: None.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.