Unravelling the Mystery of Pain,Suffering, and Relief With Brain Imaging

In humans, the experience of pain and suffering is conveyed specifically by language. Noninvasive neuroimaging techniques now provide an account of neural activity in the human brain when pain is experienced. Knowledge gleaned from neuroimaging experiments has shaped contemporaneous accounts of pain. Within the biopsychosocial framework, nociception is undoubtedly required for survival, but is neither necessary nor sufficient for the consciousness of pain in humans. Pain emerges from the brain, which also exerts a top-down influence on nociception. In the brains of patients with chronic pain, neuroimaging has revealed subtle but significant structural, functional, and neurochemical abnormalities. Converging evidence suggests that the chronic pain state may arise from dysfunction of the frontal-limbic system. Further research in the clinical pain population will continue to identify neural mechanisms that contribute to the experience and consequence of pain, which may then be targeted therapeutically.     

Using the cardiac depression scale in men recovering from coronary artery bypass surgery

Aims. To examine the utility and validate the use of the Cardiac Depression Scale in patients who had first‐time coronary artery bypass graft surgery. Background. The Beck Depression Inventory, though frequently used, may not be sufficiently sensitive for use in cardiac patients. The Cardiac Depression Scale has been shown to identify the range of depression in medical cardiac patients. Design. Survey. Methods. The Beck Depression Inventory and Cardiac Depression Scale were administered to 120 men at hospital discharge, as well as six, 12 and 36 weeks postoperatively. Cronbach’s α scores were calculated for the measures at each point. Changes in scores over time were analysed using repeated measures analysis of variance. Associations between the measures scores were calculated using Pearson product–moment correlations. Agreement between the measures’ dichotomised scores (depression/no depression) was examined using Cohen’s Kappa statistic. Results. Internal consistency was similar for the Beck Depression Inventory (0·793–0·904) and Cardiac Depression Scale (0·859–0·910). Depression scores decreased over time with the Beck Depression Inventory [F(2·50, 175·29) = 22·27, p < 0·001] and Cardiac Depression Scale [F(2·68, 190·37) = 13·18, p < 0·001]. The measures had similar power [Cohen’s f = 0·65 (Beck Depression Inventory) and 0·43 (Cardiac Depression Scale)] to reveal changes over time. The continuous scores were highly correlated at each point [0·737 (p < 0·001)–0·819 (p < 0·001)]. However, when dichotomised scores were compared, the chance corrected level of agreement was less impressive [0·198 (p = 0·014)–0·381 (p < 0·001)]. Conclusions. The Cardiac Depression Scale may have utility for use with surgical cardiac patients. However, continued examination of this measure of depression is warranted. Relevance to clinical practice. Given the prevalence of depression and its negative impact on coronary artery disease, it is important to identify even mild depression in cardiac patients. Using a measure of depression specifically for cardiac patients, rather than a generic measure, may best accomplish this goal.     

Pioglitazone administration decreases cardiovascular disease risk factors in insulin-resistant smokers

Insulin sensitivity varies in cigarette smokers, and there is evidence that cardiovascular disease (CVD) risk is greatest in those smokers who are also insulin resistant. To extend these observations, we sought to (1) compare CVD risk factors in smokers who do not plan to stop smoking, divided into insulin-resistant (IR) and insulin-sensitive (IS) subgroups, and (2) evaluate the ability of drug-induced changes in insulin sensitivity to decrease CVD risk. Thirty-six cigarette smokers were divided into IR (n = 19) and IS (n = 17) subgroups by determining their steady-state plasma glucose (SSPG) concentrations during the insulin suppression test (the higher the SSPG, the more insulin resistant the individual). In addition, baseline measurements were made of fasting lipid and lipoprotein concentrations; inflammatory markers; and daylong glucose, insulin, and free fatty acid responses to test meals. All subjects were treated with pioglitazone for 12 weeks, after which all baseline measurements were repeated. Baseline triglyceride and high-density lipoprotein cholesterol concentrations were significantly different in IR as compared with IS smokers (P < .05) both before and after adjustment for differences in sex and body mass index. After pioglitazone treatment, SSPG concentration significantly fell in the IR smokers (P < .001), associated with a significant improvement in the atherogenic lipoprotein profile seen at baseline (P ≤ .03) and a decrease in soluble intercellular adhesion molecule 1 and C-reactive protein concentrations (P = .01 and .02, respectively), whereas the IS smokers only had a significant increase in high-density lipoprotein cholesterol (P = .004) and a decrease in soluble intercellular adhesion molecule 1 (P = .02) and CRP (P = .07) levels. In conclusion, cigarette smokers have profound differences in CVD risk factors related to their degree of insulin sensitivity. It is suggested that, in addition to smoking cessation efforts, attention should be given to identifying the subgroup of smokers most at risk for CVD, but unwilling or unable to stop smoking, and to initiating appropriate therapeutic interventions to decrease CVD in this high-risk group.