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Rapid Emergency Medicine Score: A novel prognostic tool for predicting the outcomes of adult patients with hepatic portal venous gas in the emergency department.

ABSTRACT: This study aims to evaluate the performance of Rapid Emergency Medicine Score (REMS), Rapid Acute Physiology Score (RAPS), and Modified Early Warning Score (MEWS) in ascertaining the severity of illness and predicting the mortality of adult hepatic portal venous gas (HPVG) patients presenting to the emergency department (ED). This will assist emergency physicians (EPs) in risk stratification.Data for 66 adult HPVG patients who visited the EDs of 2 research hospitals between October 1999 and April 2016 were analyzed. REMS, RAPS, and MEWS were calculated based on data in the ED, and probability of death was calculated for each patient based on these scores. The ability of REMS, RAPS, and MEWS to predict group mortality was assessed by using receiver operating characteristic (ROC) curve analysis and calibration analysis.The sensitivity, specificity, and accuracy for each scoring system were 92.1%, 89.3%, and 90.9% for REMS, 86.8%, 82.1%, and 84.8% for RAPS, and 78.9%, 89.3%, and 83.3% for MEWS respectively. In the ROC curve analysis, the areas under the curve for REMS, RAPS, and MEWS were 0.929, 0.877, and 0.856 respectively.Our study is the largest series performed in a population of adult HPVG patients in the ED. The results from this study demonstrate that REMS is superior in predicting the mortality of these patients compared to RAPS and MEWS. We therefore recommend that REMS be used for outcome prediction and risk stratification of adult HPVG in the ED.

SUBMITTER: Seak CJ

PROVIDER: S-EPMC5600377 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Rapid Emergency Medicine Score: A novel prognostic tool for predicting the outcomes of adult patients with hepatic portal venous gas in the emergency department.

Seak Chen-June CJ Yen David Hung-Tsang DH Ng Chip-Jin CJ Wong Yon-Cheong YC Hsu Kuang-Hung KH Seak Joanna Chen-Yeen JC Chen Hsien-Yi HY Seak Chen-Ken CK

PloS one 20170915 9

<h4>Objective</h4>This study aims to evaluate the performance of Rapid Emergency Medicine Score (REMS), Rapid Acute Physiology Score (RAPS), and Modified Early Warning Score (MEWS) in ascertaining the severity of illness and predicting the mortality of adult hepatic portal venous gas (HPVG) patients presenting to the emergency department (ED). This will assist emergency physicians (EPs) in risk stratification.<h4>Methods</h4>Data for 66 adult HPVG patients who visited the EDs of 2 research hospi ...[more]

PMID: 28915258

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Project description:PURPOSE:Sepsis is a common acute life-threatening condition that emergency physicians routinely face. Diagnostic options within the Emergency Department (ED) are limited due to lack of infrastructure, consequently limiting the use of invasive hemodynamic monitoring or imaging tests. The mortality rate due to sepsis can be assessed via multiple scoring systems, for example, mortality in emergency department sepsis (MEDS) score and sepsis patient evaluation in the emergency department (SPEED) score, both of which quantify the variation of mortality rates according to clinical findings, laboratory data, or therapeutic interventions. This study aims to improve the management processes of sepsis patients by comparing SPEED score and MEDS score for predicting the 28-day mortality in cases of emergency sepsis. METHODS:The study is a cross-sectional, prospective study including 61 sepsis patients in ED in Suez Canal University Hospital, Egypt, from August 2017 to June 2018. Patients were selected by two steps: (1) suspected septic patients presenting with at least one of the following abnormal clinical findings: (a) body temperature higher than 38 °C or lower than 36 °C, (b) heart rate higher than 90 beats/min, (c) hyperventilation evidenced by respiratory rate higher than 20 breaths/min or PaCO2 lower than 32 mmHg, and (d) white blood cell count higher than 12,000/?L or lower than 4000/?L; (2) confirmed septic patients with at least a 2-point increase from the baseline total sequential organ failure assessment (SOFA) score following infection. Other inclusion criteria included adult patients with an age ?18 years regardless of gender and those who had either systemic inflammatory response syndrome or suspected/confirmed infection. Patients were shortly follow-up for the 28-day mortality. Each patient was subject to SPEED score and MEDS score and then the results were compared to detect which of them was more effective in predicting outcome. The receiver operating characteristic curves were also done for MEDS and SPEED scores. RESULTS:Among the 61 patients, 41 died with the mortality rate of 67.2%. The mortality rate increased with a higher SPEED and MEDS scores. Both SPEED and MEDS scores revealed significant difference between the survivors and nonsurvivors (p = 0.004 and p < 0.001, respectively), indicating that both the two systems are effective in predicting the 28-day mortality of sepsis patients. Thereafter, the receiver operating characteristic curves were plotted, which showed that SPEED was better than the MEDS score when applied to the complete study population with an area under the curve being 0.87 (0.788-0.963) as compared with 0.75 (0.634-0.876) for MEDS. Logistic regression analysis revealed that the best fitting predictor of 28-day mortality for sepsis patients was the SPEED scoring system. For every one unit increase in SPEED score, the odds of 28-day mortality increased by 37%. CONCLUSION:SPEED score is more useful and accurate than MEDS score in predicting the 28-day mortality among sepsis patients. Therefore SPEED rather than MEDS should be more widely used in the ED for sepsis patients.

Project description:BackgroundMany early warning scores (EWSs) have been validated to prognosticate adverse outcomes secondary to sepsis in the Emergency Department (ED). These EWSs include the Systemic Inflammatory Response Syndrome criteria (SIRS), the quick Sequential Organ Failure Assessment (qSOFA) and the National Early Warning Score (NEWS). However, the Rapid Emergency Medicine Score (REMS) has never been validated for this purpose. We aimed to assess and compare the prognostic utility of REMS with that of SIRS, qSOFA and NEWS for predicting mortality in patients with suspicion of sepsis in the ED.MethodsWe conducted a retrospective study at the ED of Siriraj Hospital Mahidol University, Thailand. Adult patients suspected of having sepsis in the ED between August 2018 and July 2019 were included. Their EWSs were calculated. The primary outcome was all-cause in-hospital mortality. The secondary outcome was 7-day mortality.ResultsA total of 1622 patients were included in the study; 457 (28.2%) died at hospital discharge. REMS yielded the highest discrimination capacity for in-hospital mortality (the area under the receiver operator characteristics curves (AUROC) 0.62 (95% confidence interval (CI) 0.59, 0.65)), which was significantly higher than qSOFA (AUROC 0.58 (95%CI 0.55, 0.60); p = 0.005) and SIRS (AUROC 0.52 (95%CI 0.49, 0.55); p < 0.001) but not significantly superior to NEWS (AUROC 0.61 (95%CI 0.58, 0.64); p = 0.27). REMS was the best EWS in terms of calibration and association with the outcome. It could also provide the highest net benefit from the decision curve analysis. Comparison of EWSs plus baseline risk model showed similar results. REMS also performed better than other EWSs for 7-day mortality.ConclusionREMS was an early warning score with higher accuracy than sepsis-related scores (qSOFA and SIRS), similar to NEWS, and had the highest utility in terms of net benefit compared to SIRS, qSOFA and NEWS in predicting in-hospital mortality in patients presenting to the ED with suspected sepsis.

Dataset Information

Rapid Emergency Medicine Score: A novel prognostic tool for predicting the outcomes of adult patients with hepatic portal venous gas in the emergency department.

Publications

Rapid Emergency Medicine Score: A novel prognostic tool for predicting the outcomes of adult patients with hepatic portal venous gas in the emergency department.

Similar Datasets

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