Combined use of the National Early Warning Score and D-dimer levels to predict 30-day and 365-day mortality in medical patients. (September 2016)

• Record Type: Journal Article
• Authors: Nickel, Christian H.; Kellett, John; Cooksley, Tim; Bingisser, Roland; Henriksen, Daniel P.; Brabrand, Mikkel
• Is Part Of: Resuscitation. Volume 106(2016)
• Page Start: 49
• Page End: 52
• Publication Date: 2016-09
• Subjects: Early warning scores -- D-dimer -- predictive scores -- Risk stratification -- Emergency department -- Mortality; Resuscitation -- Periodicals; Resuscitation -- Periodicals; Réanimation -- Périodiques; Electronic journals; 616.025
• DOI: 10.1016/j.resuscitation.2016.06.012
• Languages: English
• ISSNs: 0300-9572

Abstract

Abstract: Aim: To investigate the combined use of NEWS and D-dimer levels to predict the 30-day and 365-day mortality rates of a cohort of Danish patients with complete follow-up. Methods: Post-hoc retrospective observational study of acutely admitted medical patients aged 18 years or older who had D-dimer measured within 6 h after arrival to two medical admission units in Denmark. Results: The final study population consisted of 1201 patients with a median age of 65.0 years (range 18.0–107.0 years), and 44.7% were of male sex. Four patients (0.3%) died within 24 h of admission, 69 (5.7%) within 30 days and 198 (16.5%) within 365 days. On admission, 576 (48%) patients had a NEWS ≥ 3 – of these 441 had a D-dimer ≥ 0.50 mg L −1 : 55 (12.5%) of these patients died within 30 days, compared with 5 (3.7%) of the 135 patients with a D-dimer < 0.50 mg L −1 (odds ratio 3.7, 95%CI 1.4–10.8). Nine of the 625 patients with a NEWS on admission <3 died within 30 days and all of these patients had a D-dimer ≥ 0.50 mg L −1 . None of the 218 patients with a D-dimer < 0.50 mg L −1 died within 30 days of admission. Conclusion: The combination of NEWS score < 3 and D-dimer levels below 0.50 mg L −1 appears to identify patients of low risk of mortality within 30 days and, therefore, may prove to be a powerful risk assessment tool for acutely ill medical patients.