Search PubMed⌕ Search

Biomedical subjects

Stephen Duntley

Publications and source records attributed to Stephen Duntley.

4 recordsLinked to original sources

Relation of depressive symptoms to C-reactive protein and pathogen burden (cytomegalovirus, herpes simplex virus, Epstein-Barr virus) in patients with earlier acute coronary syndromes.

Despite mounting evidence that depressive symptoms increase the risk of morbidity and mortality in patients who have coronary artery disease, little is known about the biologic mechanisms that underlie this association. This study examined whether depressive symptoms are associated with markers of infection and inflammation that have been implicated in the pathogenesis of coronary artery disease. Sixty-five patients who were recovering from an acute coronary syndrome were enrolled (63% men; mean age 61 years, 90% white). Depressive symptoms were assessed through self-report and observer ratings; the inflammatory molecules C-reactive protein, interleukin-6, and tumor necrosis factor-alpha were measured in serum, as were antibody titers to 3 latent viruses associated with atherosclerosis. Patients who had more severe depressive symptoms exhibited higher levels of C-reactive protein (r = 0.27, p = 0.03) and higher rates of seropositivity to the latent viruses (r = 0.41, p = 0.001). These effects were large in magnitude: patients in the highest tertile of the depression distribution had C-reactive protein levels >50% higher than did patients in the middle and lowest tertiles; they also were 2 times as likely to show evidence of infection with all 3 latent viruses. Disparities in the extent, severity, or management of cardiac disease were not responsible for these associations. These findings provide evidence that depressive symptoms are associated with increases in C-reactive protein and pathogen burden in patients who have coronary artery disease. In doing so, they highlight a mechanism through which depressive symptoms might foster morbidity and mortality among patients who have cardiac disease.

Biomarkers↗

Reverse sleep state misperception.

A 71-year-old woman with a 3-year history of excessive daytime sleepiness and an increased need for sleep did not feel restored upon awakening and had daytime fatigue despite a full night's sleep. She was evaluated with polysomnography (PSG). She significantly underestimated her sleep latency and awake time after sleep onset. The following morning, she stated that she had slept all night, when in fact she had extremely poor sleep efficiency and prolonged sleep latency. Another PSG and a two-week long actigraphy confirmed her misperception. Therefore, she perceived physiologic wakefulness, by PSG and actiraphy criteria, as subjective sleep, in direct contrast to 'conventional' sleep state misperception, in which patients usually present with a complaint of insomnia but have normal sleep quality and duration by PSG criteria. This patient may have a previously undescribed variation of sleep state misperception that the authors have tentatively named 'reverse' sleep state misperception.

Aged↗

The role of obesity in the increased prevalence of obstructive sleep apnea syndrome in patients with polycystic ovarian syndrome.

OBJECTIVES: To determine the prevalence of obstructive sleep apnea syndrome (OSAS) in a population of premenopausal women with polycystic ovarian syndrome (PCOS) and to study the impact of obesity on the increased prevalence of OSAS in this population. METHODS: Twenty-three premenopausal women with definite PCOS, and no prior diagnosis of a sleep disorder, were recruited from gynecology clinics. An investigator interviewed them, for symptoms of excessive sleepiness, their body mass index (BMI) was calculated, and they underwent overnight polysomnography. RESULTS: Sixteen of 23 (69.6%) met criteria for OSAS. Five were treated with continuous positive airway pressure. Confidence interval was 47.7-84.5%. An increased respiratory disturbance index (RDI) did not correlate with higher BMI. CONCLUSIONS: OSAS is significantly more prevalent in this population than in a population of obese women. There was no correlation between obesity and severity of the OSAS. Obesity is not the cause of this increased prevalence of OSAS in a population of women with PCOS.

Journal Article↗