Background The outbreak of the coronavirus disease 2019 (Covid‐19) has shown a global spreading trend. Early and effective predictors of clinical outcomes are urgently needed to improve management of Covid‐19 patients. Objective The aim of the present study was to evaluate whether elevated D‐dimer levels could predict mortality in patients with Covid‐19. Methods Patients with laboratory confirmed Covid‐19 were retrospective enrolled in Wuhan Asia General Hospital from January 12, 2020, to March 15, 2020. D‐dimer levels on admission and death events were collected to calculate the optimum cutoff using receiver operating characteristic curves. According to the cutoff, the subjects were divided into two groups. Then the in‐hospital mortality between two groups were compared to assess the predictive value of D‐dimer level. Results A total of 343 eligible patients were enrolled in the study. The optimum cutoff value of D‐dimer to predict in‐hospital mortality was 2.0 µg/mL with a sensitivity of 92.3% and a specificity of 83.3%. There were 67 patients with D‐dimer ≥2.0 µg/mL, and 267 patients with D‐dimer <2.0 µg/mL on admission. 13 deaths occurred during hospitalization. Patients with D‐dimer levels ≥2.0 µg/mL had a higher incidence of mortality when comparing with those who with D‐dimer levels <2.0 µg/mL (12/67 vs 1/267, P < .001; hazard ratio, 51.5; 95% confidence interval, 12.9‐206.7). Conclusions D‐dimer on admission greater than 2.0 µg/mL (fourfold increase) could effectively predict in‐hospital mortality in patients with Covid‐19, which indicated D‐dimer could be an early and helpful marker to improve management of Covid‐19 patients. (Chinese Clinical Trial Registry: ChiCTR2000031428).
Soluble suppression of tumorigenicity 2 (sST2), a biomarker representing myocardial fibrosis and inflammation, has been applied in risk stratification of patients with myocardial infarction (MI). However, whether primary PCI (PPCI) will eliminate the predictive value of sST2 in STEMI patients has not been well studied.Here, we conducted a prospective clinical trial to evaluate the correlation between sST2 and prognosis in STEMI patients undergoing PPCI. sST2 levels were measured in 295 STEMI patients (60.2 ± 10.8 years) at admission using a high sensitivity assay. Baseline sST2 levels were significantly associated with heart function, biomarkers of inflammation, and myocardial injury. During a 12-month follow-up, 19 patients had major adverse cardiovascular events (MACEs). Greater sST2 was continuously associated with a higher risk of incident MACEs. Such association remained even after adjusting for other risk factors in a multivariate Cox analysis. A baseline sST2 level in the highest quartile (!58.7 ng/mL) was independently associated with mortality (HR: 5.01, 95%CI: 1.02-16.30, P = 0.048). More incident heart failure was seen in the group with greater sST2, however, the association was not significant after adjustment. Therefore, baseline sST2 may be useful to predict MACEs, especially mortality, in STEMI patients receiving PPCI.
Background: Genotype-guided warfarin dosing has been shown in some randomized trials to improve anticoagulation outcomes in individuals of European ancestry; yet, its utility in Chinese patients with heart valve replacement remains unresolved. Methods: A total of 2264 patients who underwent heart valve replacement at Wuhan Asia Heart Hospital were enrolled in this study. Patients were randomly divided into 2 groups, namely, a genotype-guided and a traditional clinically guided warfarin dosing group. In the genotype-guided group (n = 1134), genotyping for CYP2C9 and VKORC1 (−1639 G→A) was performed using TaqMan genotyping assay. Warfarin doses were predicted with the International Warfarin Pharmacogenetics Consortium algorithm. Patients in the control group (n = 1130) were clinically guided. The primary outcome was to compare the incidence of adverse events (major bleeding and thrombotic) during a 90-day follow-up period between 2 groups. Secondary objectives were to describe effects of the pharmacogenetic intervention on the first therapeutic-target-achieving time, the stable maintenance dose, and the hospitalization days. Results: A total of 2245 patients were included in the analysis. Forty-nine events occurred during follow-up. Genotype-guided dosing strategy did not result in a reduction in major bleeding (0.26% versus 0.63%; hazard ratio, 0.44; 95% confidence interval, 0.13–1.53; P = 0.20) and thrombotic events (0.89% versus 1.61%; hazard ratio, 0.56; 95% confidence interval, 0.27–1.17; P = 0.12) compared with clinical dosing group. Compared with traditional dosing, patients in the genotype-guided group reached their therapeutic international normalized ratio in a shorter time (3.8 ± 2.0 versus 4.4 ± 2.0 days, P < 0.001). There was no difference in hospitalization days (P = 0.28). Conclusions: Warfarin pharmacogenetic testing according to the International Warfarin Pharmacogenetics Consortium algorithm cannot improve anticoagulation outcomes in Chinese patients with heart valve replacement.
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