Prospective validation of a near real-time EHR-integrated automated SOFA score calculator.
Objectives: We created an algorithm for automated Sequential Organ Failure Assessment (SOFA) score calculation within the Electronic Health Record (EHR) to facilitate detection of sepsis based on the Third International Consensus Definitions for Sepsis and Septic Shock (SEPSIS-3) clinical definition...
| Publicado en: | International Journal of Medical Informatics Vol. 103; pp. 1 - 7 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Jul2017
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123218460&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123218460 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13865056 JR4 jtl: International Journal of Medical Informatics issn: 13865056 maglogo: N pubinfo: dt: Jul2017 vid: 103 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 123218460 123218460 NLM28550994 123218460 10.1016/j.ijmedinf.2017.04.001 NLM28550994 123218460 ppf: 1 ppct: 6 formats: tig: atl: Prospective validation of a near real-time EHR-integrated automated SOFA score calculator. aug: au: Aakre, Christopher Franco, Pablo Moreno Ferreyra, Micaela Kitson, Jaben Li, Man Herasevich, Vitaly affil: Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA sug: subj: Sepsis Diagnosis Health Status Indicators Algorithms Aged Sepsis Epidemiology Intensive Care Units Prospective Studies Critical Care Minnesota Consensus Female Human Middle Age Male Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Scales Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Objectives: We created an algorithm for automated Sequential Organ Failure Assessment (SOFA) score calculation within the Electronic Health Record (EHR) to facilitate detection of sepsis based on the Third International Consensus Definitions for Sepsis and Septic Shock (SEPSIS-3) clinical definition. We evaluated the accuracy of near real-time and daily automated SOFA score calculation compared with manual score calculation.Methods: Automated SOFA scoring computer programs were developed using available EHR data sources and integrated into a critical care focused patient care dashboard at Mayo Clinic in Rochester, Minnesota. We prospectively compared the accuracy of automated versus manual calculation for a sample of patients admitted to the medical intensive care unit at Mayo Clinic Hospitals in Rochester, Minnesota and Jacksonville, Florida. Agreement was calculated with Cohen's kappa statistic. Reason for discrepancy was tabulated during manual review.Results: Random spot check comparisons were performed 134 times on 27 unique patients, and daily SOFA score comparisons were performed for 215 patients over a total of 1206 patient days. Agreement between automatically scored and manually scored SOFA components for both random spot checks (696 pairs, κ=0.89) and daily calculation (5972 pairs, κ=0.89) was high. The most common discrepancies were in the respiratory component (inaccurate fraction of inspired oxygen retrieval; 200/1206) and creatinine (normal creatinine in patients with no urine output on dialysis; 128/1094). 147 patients were at risk of developing sepsis after intensive care unit admission, 10 later developed sepsis confirmed by chart review. All were identified before onset of sepsis with the ΔSOFA≥2 point criterion and 46 patients were false-positives.Conclusions: Near real-time automated SOFA scoring was found to have strong agreement with manual score calculation and may be useful for the detection of sepsis utilizing the new SEPSIS-3 definition. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|