Objectives: Triaging patients at admission to determine subsequent deterioration risk can be difficult. This is especially true of coronavirus disease 2019 patients, some of whom experience significant physiologic deterioration due to dysregulated immune response following admission. A well-established acuity measure, the Rothman Index, is evaluated for stratification of patients at admission into high or low risk of subsequent deterioration. Design: Multicenter retrospective study. Setting: One academic medical center in Connecticut, and three community hospitals in Connecticut and Maryland. Patients: Three thousand four hundred ninety-nine coronavirus disease 2019 and 14,658 noncoronavirus disease 2019 adult patients admitted to a medical service between January 1, 2020, and September 15, 2020. Interventions: None. Measurements and Main Results: Performance of the Rothman Index at admission to predict in-hospital mortality or ICU utilization for both general medical and coronavirus disease 2019 populations was evaluated using the area under the curve. Precision and recall for mortality prediction were calculated, high- and low-risk thresholds were determined, and patients meeting threshold criteria were characterized. The Rothman Index at admission has good to excellent discriminatory performance for in-hospital mortality in the coronavirus disease 2019 (area under the curve, 0.81–0.84) and noncoronavirus disease 2019 (area under the curve, 0.90–0.92) populations. We show that for a given admission acuity, the risk of deterioration for coronavirus disease 2019 patients is significantly higher than for noncoronavirus disease 2019 patients. At admission, Rothman Index–based thresholds segregate the majority of patients into either high- or low-risk groups; high-risk groups have mortality rates of 34–45% (coronavirus disease 2019) and 17–25% (noncoronavirus disease 2019), whereas low-risk groups have mortality rates of 2–5% (coronavirus disease 2019) and 0.2–0.4% (noncoronavirus disease 2019). Similarly large differences in ICU utilization are also found. Conclusions: Acuity level at admission may support rapid and effective risk triage. Notably, in-hospital mortality risk associated with a given acuity at admission is significantly higher for coronavirus disease 2019 patients than for noncoronavirus disease 2019 patients. This insight may help physicians more effectively triage coronavirus disease 2019 patients, guiding level of care decisions and resource allocation.
Background: Thromboelastography (TEG®) is used across a wide range of clinical settings to identify patients at risk for thrombosis and coagulopathic bleeding and may be a useful diagnostic tool to guide antithrombotic treatment in patients with COVID-19. Hypothesis: TEG® identifies symptom progression in COVID -19 patients, particularly in the high-risk minority population known to have worse clinical outcomes. Methods: Whole blood from African American and Hispanic hospitalized COVID positive (n=22) and negative outpatients (n=24) was analyzed using point-of-care TEG®6s (Haemonetics, Corp). TEG® parameters including clot initiation (R), fibrin clot strength (FCS), platelet-fibrin clot strength (PFCS) and clot lysis (LY30) were compared across disease severity groups (table). Routine labs including D-Dimer, C-reactive protein (CRP), ferritin, and procalcitonin were also collected. Results: Ninety- five percent of COVID positive patients had at least one co-morbidity with the incidence of hypertension (73%), diabetes (55%), and obesity (45%) being the most frequent. R time was more rapid, and FCS and PFCS was significantly higher in COVID positive as compared to negative groups (p<0.03). A stepwise increase in FCS and PFCS was observed with worsening respiratory function (table). Similarly, D-Dimer, CRP, ferritin, and procalcitonin levels were highest in patients receiving ventilator support. No differences were observed in clot lysis between the groups despite elevated D-Dimer levels. Conclusion: We have demonstrated that TEG®6s can identify a prothrombotic phenotype characterized by rapid clot initiation and increased fibrin and platelet-fibrin clot strength in a minority population with COVID-19. Future studies are warranted implementing the TEG6s® in clinical trials to personalize antithrombotic therapy in COVID-19 and improve outcomes.
Introduction: Thrombo-inflammatory syndrome (TIS) characterized by a pathophysiological state of hypercoagulability, heightened platelet function, and inflammation has been observed in patients with acute myocardial infarction, and HIV. Hypothesis: The incidence of TIS is observed at a high rate in COVID-19 patients and worsens with symptom severity Methods: Blood samples from COVID-19 positive hospitalized patients (n=24) was collected for coagulation and platelet function analysis using point-of-care thromboelastography, TEG6s (Haemonetics, Corp) and routine labs were collected to measure markers of inflammation, coagulation, and organ damage (Table). Disease severity was grouped according to oxygen supplementation requirements and comparisons were made using unpaired t-test and chi-squared tests. Thrombo-inflammation was defined as the presence of both hypercoagulability by TEG [Clot initiation (R) < 4.6, fibrin clot strength (FCS) >32mm, and platelet fibrin clot strength (PFCS) >69] and D-dimer >ULN. Results: Ninety- five percent of COVID positive patients had at least one co-morbidity with the incidence of hypertension (71%), diabetes (50%), and obesity (42%) being the most frequent. A total of 63% (16/24) of patients had TIS, the incidence was significantly increased with escalating disease severity (p=0.03). A significant stepwise (p<0.05) increase in FCS, D-Dimer, WBC count, lactate dehydrogenase, and procalcitonin was observed with worsening respiratory function (table). MA-ADP a measure of platelet function was in the high normal range for 81 % of patients. Conclusions: Thrombo-inflammatory is observed with most COVID patients, importantly heightened platelet function is a component of the syndrome and raises the question if antiplatelet therapy is needed in select COVID patients. Selective assessments with TEG6s may facilitate antithrombotic personalization.
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