Browsing by Subject "risk-stratification"

Now showing 1 - 3 of 3
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    Acute Dyspnea and Decompensated Heart Failure
    (Elsevier, 2018-02) Pang, Peter S.; Collins, Sean P.; Gheorghiade, Mihai; Butler, Javed; Emergency Medicine, School of Medicine
    The majority of patients hospitalized with acute heart failure (AHF) initially present to the emergency department (ED). Correct diagnosis followed by prompt treatment ensures optimal outcomes. Paradoxically, identification of high risk is not the unmet need, given nearly all ED AHF patients are hospitalized; rather, it is identification of low-risk. Currently, no risk-stratification instrument can be universally recommended to safely discharge ED patients. With the exception of diagnosis, management recommendations are largely expert opinion, informed by existing evidence and tradition. In the absence of robust evidence, we propose a framework for management to guide the busy clinician.
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    Real-World Evidence Shows Clinicians Appropriately Use the Prognostic 40-Gene Expression Profile (40-GEP) Test for High-Risk Cutaneous Squamous Cell Carcinoma (cSCC) Patients
    (Taylor & Francis, 2022-09) Hooper, Perry B.; Farberg, Aaron S.; Fitzgerald, Alison L.; Siegel, Jennifer J.; Rackley, Briana B.; Prasai, Anesh; Kurley, Sarah J.; Goldberg, Matthew S.; Litchman, Graham H.; Dermatology, School of Medicine
    Treatment decisions for patients with cutaneous squamous cell carcinoma (cSCC) are traditionally based upon clinicopathologic risk factors and staging systems. Due to the accuracy limitations of these resources in predicting poor outcomes, there is a clinically significant need for more accurate methods of risk assessment. The 40-gene expression profile (40-GEP) test was developed to augment metastatic risk prediction of high-risk cSCC patients and has been validated in two independent, multi-center studies involving over 1,000 patients. This study substantiates that the 40-GEP is appropriately utilized by clinicians and that the personalized risk-stratification results are impactful in guiding risk-aligned patient management.
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    Soluble Urokinase-Type Plasminogen Activator Receptor as a Prognostic Marker of Ugandan Children at Risk of Severe and Fatal Malaria
    (Oxford, 2023-02-01) Stefanova, Veselina; Ngai, Michelle; Weckman, Andrea M.; Wright, Julie K.; Zhong, Kathleen; Richard-Greenblatt, Melissa; McDonald, Chloe R.; Conroy, Andrea L.; Namasopo, Sophie; Opoka, Robert O.; Hawkes, Michael; Kain, Kevin C.; Pediatrics, School of Medicine
    Background Current malaria diagnostic tests do not reliably identify children at risk of severe and fatal infection. Host immune and endothelial activation contribute to malaria pathogenesis. Soluble urokinase-type plasminogen activator receptor (suPAR) is a marker of these pathways. We hypothesized that measuring suPAR at presentation could risk-stratify children with malaria. Methods Plasma suPAR levels were determined in consecutive febrile children with malaria at presentation to hospital in Jinja, Uganda. We evaluated the accuracy of suPAR in predicting in-hospital mortality, and whether suPAR could improve a validated clinical scoring system (Lambaréné Organ Dysfunction Score [LODS]). Results Of the 1226 children with malaria, 39 (3.2%) died. suPAR concentrations at presentation were significantly higher in children who went on to die than in those who survived (P < .0001). suPAR levels were associated with disease severity (LODS: 0 vs 1, P = .001; 1 vs 2, P < .001; 2 vs 3, 0 vs 2, 1 vs 3, and 0 vs 3, P < .0001). suPAR concentrations were excellent predictors of in-hospital mortality (area under the receiver operating characteristic curve [AUROC], 0.92 [95% confidence interval {CI}, .91–.94]). The prognostic accuracy of LODS (AUROC, 0.93 [95% CI, .91–.94]) was improved when suPAR was added (AUROC, 0.97 [95% CI, .96–.98]; P < .0001). Conclusions Measuring suPAR at presentation can identify children at risk of severe and fatal malaria. Adding suPAR to clinical scores could improve the recognition and triage of children at risk of death. suPAR can be detected with a point-of-care test and can now be evaluated in prospective trials.