Introduction and Validation of a Novel Acute Pancreatitis Digital Tool: Interrogating Large Pooled Data From 2 Prospectively Ascertained Cohorts.

MedStar author(s):
Citation: Pancreas. 49(10):1276-1282, 2020 Nov/Dec.PMID: 33122514Institution: MedStar Washington Hospital CenterDepartment: Internal Medicine ResidencyForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: *Decision Support Techniques | *Pancreatitis/di [Diagnosis] | Female | Humans | Male | Middle Aged | Pancreatitis/th [Therapy] | Pilot Projects | Predictive Value of Tests | Prognosis | Prospective Studies | Reproducibility of Results | Risk Assessment | Risk Factors | Severity of Illness IndexYear: 2020ISSN:
  • 0885-3177
Name of journal: PancreasAbstract: CONCLUSIONS: The ADAPT tool showed 100% accuracy with AP predictive metrics. Prospective evaluation of ADAPT features is needed to determine if additional data can accurately predict and mitigate severe AP and MOF.METHODS: Ariel Dynamic Acute Pancreatitis Tracker (ADAPT) is a digital tool to guide physicians in ordering standard tests, evaluate test results and model progression using available data, propose emergent therapies. The accuracy of the severity score calculators was tested using 2 prospectively ascertained Acute Pancreatitis Patient Registry to Examine Novel Therapies in Clinical Experience cohorts (pilot University of Pittsburgh Medical Center, n = 163; international, n = 1544).OBJECTIVES: Acute pancreatitis (AP) is a sudden onset, rapidly evolving inflammatory response with systemic inflammation and multiorgan failure (MOF) in a subset of patients. New highly accurate clinical decision support tools are needed to allow local doctors to provide expert care.RESULTS: The ADAPT and post hoc expert-calculated AP severity scores were 100% concordant in both pilot and international cohorts. High-risk criteria of all 4 severity scores at admission were associated with moderately-severe or severe AP and MOF (both P < 0.0001) and prediction of no MOF was 97.8% to 98.9%. The positive predictive value for MOF was 7.5% to 14.9%.All authors: Archibugi L, Barbu ST, Breze CR, Cote GA, de-Madaria E, Easler JJ, Ferreira M, Goenka MK, Gonzalez JA, Gougol A, Gulla A, Gutierrez SC, Haupt M, Kochhar R, Nawaz H, Ocampo C, Papachristou GI, Paragomi P, Pelaez-Luna M, Pothoulakis I, Singh VK, Spagnolo DM, Stevens T, Talukdar R, Thakkar S, Triantafyllou K, Whitcomb DC, Wu BU, Zarnescu NOOriginally published: Pancreas. 49(10):1276-1282, 2020 Nov/Dec.Fiscal year: FY2021Digital Object Identifier: Date added to catalog: 2020-12-29
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Journal Article MedStar Authors Catalog Article 33122514 Available 33122514

CONCLUSIONS: The ADAPT tool showed 100% accuracy with AP predictive metrics. Prospective evaluation of ADAPT features is needed to determine if additional data can accurately predict and mitigate severe AP and MOF.

METHODS: Ariel Dynamic Acute Pancreatitis Tracker (ADAPT) is a digital tool to guide physicians in ordering standard tests, evaluate test results and model progression using available data, propose emergent therapies. The accuracy of the severity score calculators was tested using 2 prospectively ascertained Acute Pancreatitis Patient Registry to Examine Novel Therapies in Clinical Experience cohorts (pilot University of Pittsburgh Medical Center, n = 163; international, n = 1544).

OBJECTIVES: Acute pancreatitis (AP) is a sudden onset, rapidly evolving inflammatory response with systemic inflammation and multiorgan failure (MOF) in a subset of patients. New highly accurate clinical decision support tools are needed to allow local doctors to provide expert care.

RESULTS: The ADAPT and post hoc expert-calculated AP severity scores were 100% concordant in both pilot and international cohorts. High-risk criteria of all 4 severity scores at admission were associated with moderately-severe or severe AP and MOF (both P < 0.0001) and prediction of no MOF was 97.8% to 98.9%. The positive predictive value for MOF was 7.5% to 14.9%.

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