Elevated HsCRP in Chronic Obstructive Pulmonary Disease : A Prospective Study of Long-Term Outcomes After Percutaneous Coronary Intervention

Zheng, Y. and Qi, Y. and Seery, S. and Yang, J. and Li, C. and Wang, W. and Gao, J. and Meng, X. and Shao, C. and Tang, Y.-D. (2022) Elevated HsCRP in Chronic Obstructive Pulmonary Disease : A Prospective Study of Long-Term Outcomes After Percutaneous Coronary Intervention. International Journal of COPD, 17. pp. 2517-2528.

Abstract

Objective: Anti-inflammatory therapies are reported to have additional benefits beyond lipid control for patients with cardiovascular disease. However, no study has focused on the relationship between inflammation status and long-term outcomes for chronic obstructive pulmonary disease (COPD) patients, after percutaneous coronary intervention (PCI). Methods: 277 COPD-PCI patients were divided into two groups according to hsCRP status upon admission. Major adverse cardiac events (MACE) in high hsCRP patients were compared to patients with low hsCRP. Restricted cubic spline (RCS) analysis was performed using MACE hazard ratios (HR) to investigate interrelations with hsCRP, as a continuous variable. Results: Patients in the high hsCRP group incurred more inflammation activation, in terms of higher white blood cell counts, neutrophil, lymphocytes, and had higher smoking rates, compared to those with lower hsCRPs. A significant increase in MACEs was observed in hsCRP high group, compared to the low hsCRP group (HR: 2.47, 95% CI: 1.22–5.00; p = 0.012). RCS curves suggest that HRs rise beyond 1.0, after the 0.24 juncture for Lg HsCRP (base 10 logarithm with hsCRP), HR per SD: 1.19 (95% CI: 0.96–1.48). Further subgroup analysis implies that elevated hsCRP is associated with a higher risk of MACEs across the sub-groups tested. Conclusion: HsCRP could be a useful indicator for COPD-CAD patient prognosis, after PCI. This is because hsCRP highlights inflammation activation. More multi-center research, designed for COPD-CAD patients should be conducted to more accurately determine the cut-off value for hsCRP. © 2022 Zheng et al.