Adaptive regression modeling of biomarkers of potential harm in a population of U.S. adult cigarette smokers and nonsmokers

<p>Abstract</p> <p>Background</p> <p>This article describes the data mining analysis of a clinical exposure study of 3585 adult smokers and 1077 nonsmokers. The analysis focused on developing models for four biomarkers of potential harm (BOPH): white blood cell count (WBC), 24 h urine 8-epi-prostaglandin F_2α(EPI8), 24 h urine 11-dehydro-thromboxane B₂(DEH11), and high-density lipoprotein cholesterol (HDL).</p> <p>Methods</p> <p>Random Forest was used for initial variable selection and Multivariate Adaptive Regression Spline was used for developing the final statistical models</p> <p>Results</p> <p>The analysis resulted in the generation of models that predict each of the BOPH as function of selected variables from the smokers and nonsmokers. The statistically significant variables in the models were: platelet count, hemoglobin, C-reactive protein, triglycerides, race and biomarkers of exposure to cigarette smoke for WBC (R-squared = 0.29); creatinine clearance, liver enzymes, weight, vitamin use and biomarkers of exposure for EPI8 (R-squared = 0.41); creatinine clearance, urine creatinine excretion, liver enzymes, use of Non-steroidal antiinflammatory drugs, vitamins and biomarkers of exposure for DEH11 (R-squared = 0.29); and triglycerides, weight, age, sex, alcohol consumption and biomarkers of exposure for HDL (R-squared = 0.39).</p> <p>Conclusions</p> <p>Levels of WBC, EPI8, DEH11 and HDL were statistically associated with biomarkers of exposure to cigarette smoking and demographics and life style factors. All of the predictors togather explain 29%-41% of the variability in the BOPH.</p

Arousal in obstructive sleep apnoea patients is associated with ECG RR and QT interval shortening and PR interval lengthening

Sudden cardiac death appears to be more prevalent during the normal sleeping hours in obstructive sleep apnoea (OSA) patients compared with the general population as well as to cardiovascular disease patients. The reasons for this remain unclear, but there are three likely main contributors to nocturnal death in OSA patients; cardiac arrhythmias, stroke/ruptured cerebral aneurism and myocardial infarction. Particularly marked cardiovascular system activation with arousal may play a role in initiating sudden adverse cardiovascular events in OSA. The purpose of this study was to investigate cardiac RR, QT and PR interval changes in the electrocardiogram (ECG) associated with spontaneous and respiratory-related arousals in OSA patients. A detailed observational study of ECG records obtained during conventional diagnostic sleep study with no further interventions was carried out in 20 patients (12 males, age 42.8 ± 2.1 years, body mass index 35.1 ± 1.9 kg m)2, and respiratory disturbance index 51.8 ± 6.4 events/hour). RR and QT intervals showed significant shortening during arousals. RR interval shortening was found to be greater during respiratory arousals when compared to spontaneous arousals. PR interval showed a trend toward a greater prolongation during respiratory arousal. QT interval shortening was weakly correlated with arterial oxygen saturation levels preceding arousal. In conclusion, these data suggest that despite greater cardiac acceleration following respiratory versus spontaneous arousals from sleep, QT shortening and PR prolongation responses are similar independent of arousal type. These data support that arousals produce quite marked and differential cardiac conduction system activation in OSA and that the degree and pattern of activation may be partly influenced by the presence and severity of preceding respiratory events.Janet H. Smith, Mathias Baumert, Eugene Nalivaiko, Ronald Douglas Mcevoy and Peter G. Catchesid