Comparison of High-Sensitivity C-Reactive Protein vs C-reactive Protein for Cardiovascular Risk Prediction in Chronic Cardiac Disease.

BACKGROUND: High-sensitivity C-reactive protein (hs-CRP) is a biomarker used for risk prediction for cardiovascular disease by assessing low concentration of inflammation. Measurements of regular CRP have become very sensitive with a lower detection limit of 0.3 mg/L. This study aimed to compare and explore the association between CRP and hs-CRP. METHODS: Data from 607 consecutive patients referred for cardiovascular risk assessment with hs-CRP were reviewed retrospectively. In total, 570 patients were included in the analysis and classified into 3 (low-, medium-, and high-risk) groups (hs-CRP cutoff: <1, 1-3, >3 mg/L). Correlation between hs-CRP and CRP was assessed with the kappa statistic and visualized with a Bland-Altman plot. The association between hs-CRP and occurrence of the composite outcome (acute myocardial infarction, stroke, coronary intervention [percutaneous coronary intervention or bypass surgery], or death) was determined with Cox regression analysis and visualized with Kaplan-Meier curves. RESULTS: A total number reclassification occurred in 8.6% of the cases for CRP risk groups, which demonstrates an agreement of 91.4% (kappa 0.87; P < 0.001). The correlation between CRP and hs-CRP was significant (P < 0.001), Spearman regression R2 = 0.98. A Bland-Altman plot displayed an average difference of 0.19 mg/L (95%CI, 0.17 to 0.23) between the CRP and hs-CRP. Cardiovascular events were more likely to occur in patients who were older, with hs-CRP or CRP >3 mg/L and a history of coronary artery disease. CONCLUSIONS: The usual laboratory tests for CRP values in the lower range highly correlate with the hs-CRP tests and can therefore replace the costlier hs-CRP measurements.

Sex Differences in Kidney Transplantation: Austria and the United States, 1978-2018.

BACKGROUND: Systematic analyses about sex differences in wait-listing and kidney transplantation after dialysis initiation are scarce. We aimed at identifying sex-specific disparities along the path of kidney disease treatment, comparing two countries with distinctive health care systems, the US and Austria, over time. METHODS: We analyzed subjects who initiated dialysis from 1979-2018, in observational cohort studies from the US and Austria. We used Cox regression to model male-to-female cause-specific hazard ratios (csHRs, 95% confidence intervals) for transitions along the consecutive states dialysis initiation, wait-listing, kidney transplantation and death, adjusted for age and stratified by country and decade of dialysis initiation. RESULTS: Among 3,053,206 US and 36,608 Austrian patients starting dialysis, men had higher chances to enter the wait-list, which however decreased over time [male-to-female csHRs for wait-listing, 1978-1987: US 1.94 (1.71, 2.20), AUT 1.61 (1.20, 2.17); 2008-2018: US 1.35 (1.32, 1.38), AUT 1.11 (0.94, 1.32)]. Once wait-listed, the advantage of the men became smaller, but persisted in the US [male-to-female csHR for transplantation after wait-listing, 2008-2018: 1.08 (1.05, 1.11)]. The greatest disparity between men and women occurred in older age groups in both countries [male-to-female csHR for wait-listing after dialysis, adjusted to 75% age quantile, 2008-2018: US 1.83 (1.74, 1.92), AUT 1.48 (1.02, 2.13)]. Male-to-female csHRs for death were close to one, but higher after transplantation than after dialysis. CONCLUSIONS: We found evidence for sex disparities in both countries. Historically, men in the US and Austria had 90%, respectively, 60% higher chances of being wait-listed for kidney transplantation, although these gaps decreased over time. Efforts should be continued to render kidney transplantation equally accessible for both sexes, especially for older women.