Rationale: Comorbidities contribute to disease severity and mortality in patients with chronic obstructive pulmonary disease (COPD). Comorbidities have been studied individually and were mostly based on self-reports. The coexistence of objectively identified comorbidities and the role of low-grade systemic inflammation in the pathophysiology of COPD remain to be elucidated. Objectives: To cluster 13 clinically important objectively identified comorbidities, and to characterize the comorbidity clusters in terms of clinical outcomes and systemic inflammation. Methods: A total of 213 patients with COPD (FEV1, 51 ± 17% predicted; men, 59%; age, 64 ± 7 yr) were included prospectively. Comorbidities were based on well-known cut-offs identified in the peer-reviewed English literature. Systemic inflammatory biomarkers were determined in all patients. Self-organizing maps were used to generate comorbidity clusters. Measurements and Main Results: A total of 97.7% of all patients had one or more comorbidities and 53.5% had four or more comorbidities. Five comorbidity clusters were identified: (1) less comorbidity, (2) cardiovascular, (3) cachectic, (4) metabolic, and (5) psychological. Comorbidity clusters differed in health status but were comparable with respect to disease severity. An increased inflammatory state was observed only for tumor necrosis factor (TNF) receptors in the metabolic cluster (geometric mean [lower and upper limit]; TNF-R1, 2,377 [1,850, 3,055] pg/ml, confidence, 98.5%; TNF-R2, 4,080 [3,115, 5,344] pg/ml, confidence, 98.8%) and only for IL-6 in the cardiovascular cluster (IL-6, 3.4 [1.8, 6.6] pg/ml; confidence, 99.8%). Conclusions: Multimorbidity is common in patients with COPD, and different comorbidity clusters can be identified. Low-grade systemic inflammation is mostly comparable among comorbidity clusters. Increasing knowledge on the interactions between comorbidities increases the understanding of their development and contributes to strategies for prevention or improved treatment.

Purpose: Hypertension is a commonly reported side effect in antiangiogenic therapy. We investigated the hypothesis that telatinib, a small molecule angiogenesis inhibitor, impairs vascular function, induces rarefaction, and causes hypertension. Experimental Design: A side-study was done in a phase I trial of telatinib, a small molecule tyrosine kinase inhibitor of vascular endothelial growth factor receptors 2 and 3, platelet-derived growth factor receptor, and c-KIT in patients with advanced solid tumors. Measurements of blood pressure, flow-mediated dilation, nitroglycerin-mediated dilation, aortic pulse wave velocity, skin blood flux with laser Doppler flow, and capillary density with sidestream dark field imaging were done at baseline and after 5 weeks of treatment. Blood pressure and proteinuria were measured weekly. Results: Mean systolic and diastolic blood pressure values increased significantly at +6.6 mm Hg (P = 0.009) and +4.7 mm Hg (P = 0.016), respectively. Mean flow-mediated dilation and mean nitroglycerin-mediated dilation values significantly decreased by −2.1% (P = 0.003) and −5.1% (P = 0.001), respectively. After 5 weeks of treatment, mean pulse wave velocity significantly increased by 1.2 m/s (P = 0.001). A statistically significant reduction of mean skin blood flux of 532.8% arbitrary units was seen (P = 0.015). Capillary density statistically significantly decreased from 20.8 to 16.7 capillary loops (P = 0.015). Proteinuria developed or increased in six patients during telatinib treatment. Conclusion: The increase in blood pressure observed in the treatment with telatinib, an angiogenesis inhibitor, may be caused by functional or structural rarefaction.

Arterial stiffness measures such as pulse wave velocity (PWV) have a known dependence on actual blood pressure, requiring consideration in cardiovascular risk assessment and management. Given the impact of ageing on arterial wall structure, the pressure-dependence of PWV may vary with age. Using a noninvasive model-based approach, combining carotid artery echo-tracking and tonometry waveforms, we obtained pressure-area curves in 23 hypertensive patients at baseline and after 3 months of antihypertensive treatment. We predicted the follow-up PWV decrease using modelled baseline curves and follow-up pressures. In addition, on the basis of these curves, we estimated PWV values for two age groups (mean ages 41 and 64 years) at predefined hypertensive (160/90 mmHg) and normotensive (120/80 mmHg) pressure ranges. Follow-up measurements showed a near 1 m/s decrease in carotid PWV when compared with baseline, which fully agreed with our model-prediction given the roughly 10 mmHg decrease in diastolic pressure. The stiffness-blood pressure-age pattern was in close agreement with corresponding data from the 'Reference Values for Arterial Stiffness' study, linking the physical and empirical bases of our findings. Our study demonstrates that the innate pressure-dependence of arterial stiffness may have implications for the clinical use of arterial stiffness measurements, both in risk assessment and in treatment monitoring of individual patients. We propose a number of clinically feasible approaches to account for the blood pressure effect on PWV measurements.

The use of antiretroviral combination therapy in HIV has been associated with lipodystrophy and cardiovascular risk factors. To compare the effects of the peroxisome proliferator-activated receptor-gamma agonist rosiglitazone and metformin for treating HIV lipodystrophy. An open, randomized, 6-month clinical trial. University Medical Center, Utrecht, the Netherlands. 39 HIV-infected men with lipodystrophy. Rosiglitazone, 8 g/d, or metformin, 2 g/d [DOSAGE ERROR CORRECTED] Insulin sensitivity estimated by the oral glucose tolerance test, subcutaneous and visceral abdominal fat measured by single-slice computed tomography, endothelial function measured by flow-mediated vasodilation, and fasting plasma measurements. Two patients in the metformin group withdrew from the study. Complete case analysis was performed. Compared with metformin, rosiglitazone increased subcutaneous abdominal fat (between-treatment change from baseline, 27 cm2 [95% CI, 7 cm2 to 46 cm2]) and visceral abdominal fat (between-treatment change from baseline, 24 cm2 [CI, 6 cm2 to 51 cm2]). The area under the curve for insulin after the oral glucose tolerance test decreased similarly with both agents, but only rosiglitazone increased adiponectin levels. Metformin showed greater benefits on fasting lipid profile than rosiglitazone. Flow-mediated vasodilation statistically significantly increased with metformin (mean change, 1.5% [CI, 0.4% to 3.3%]) and not with rosiglitazone (mean change, 0.7% [CI, -1.1% to 2.7%]). The metformin versus rosiglitazone increases did not statistically differ. Rosiglitazone and metformin did not change C-reactive protein levels. This small trial was not blinded or placebo-controlled and did not measure clinical outcomes. The findings emphasize the importance of individualized care in HIV-infected patients. Although rosiglitazone may partly correct lipoatrophy, metformin improves visceral fat accumulation, fasting lipid profile, and endothelial function.

Clear evidence for an association between systemic inflammation and increased arterial stiffness in patients with chronic obstructive pulmonary disease (COPD) is lacking. Moreover, the effects of pulmonary rehabilitation on arterial stiffness are not well studied.We aimed to 1) confirm increased arterial stiffness in COPD; 2) evaluate its correlates including systemic inflammation; and 3) study whether or not it is influenced by pulmonary rehabilitation.Aortic pulse-wave velocity (APWV) was determined in 168 healthy volunteers, and APWV and inflammatory markers were determined in 162 COPD patients during baseline evaluation of a pulmonary rehabilitation programme. A complete post-pulmonary rehabilitation dataset was collected in 129 patients.It was found that APWV was increased in COPD patients when compared with controls, blood pressure and age predicted baseline APWV, and systemic inflammatory markers were not independently related to APWV. Although baseline APWV was predictive for the change in APWV after pulmonary rehabilitation (r= -0.77), on average APWV did not change (10.7±2.7versus10.9±2.5 m·s⁻¹; p=0.339).Arterial stiffness in COPD is not related to systemic inflammation and does not respond to state-of-the-art pulmonary rehabilitation. These results emphasise the complexity of cardiovascular risk and its management in COPD.