Research Article
Comparing In-Hospital Mortality Prediction by Senior Emergency Resident’s Judgment and Prognostic Models in the Emergency Department
Table 4
Published studies comparing the performance of models with physician clinical judgment.
| Study | Year | Country | Sample size (N) | Male gender (%) | Agea or median (IQR) | Outcome rate (%) | Setting | Diagnosis | Prognostic model | Outcome events | AUROC Model versus physician prognoses |
| [37] | 1988 | US | 366 | NA | NA | 40% | ICU | Case-mix | APACHE II | Hospital mortality | 0.89 vs. 0.89 | [1] | 1989 | US | 523 | 44% | | 25% | ICU + Ward | Case-mix | APACHE II | Hospital mortality | 0.83 vs. 0.89 | [20] | 1989 | US | 215 | 43% | : deceased : survivors | 30.2% | ICU | Case-mix | APACHE II | Hospital mortality | 80 vs. 90 | [38] | 2010 | US | 137 | NA | Neonate <4 weeks | 34% | ICU | Candidiasis | Neonatal candidiasis | Hospital mortality | 0.79 vs. 0.70 | [13] | 2019 | US | 1874 | 50% | 56 (42–70) | 1.9% | Internal medicine wards | Case-mix | EWS | Clinical deteriorations in 24 hours | 0.73 vs. 0.70 | [39] | 2013 | Netherlands | 323 | 57% | | 22% | ED | Sepsis | PIRO | 28-day mortality | 0.68 vs. 0.69 in high-risk 0.83 vs. 0.84 in low-risk | [40] | 2017 | Netherlands | 193 | 56% | 60 (48–71) | 4.1% | ED | Sepsis | qSOFA PIRO | Hospital mortality | 0.849 vs. 0.861 0.876 vs. 0.861 | [23] | 2020 | US | 405 | 60% | | 8.2% | ED | Sepsis | qSOFA | 28-day mortality | 0.63 vs. 0.80 | [10] | 2019 | US | 314 | 57% | 61.7 (17.1): deceased 55.6 (16.8): survivors | 9.9% | ED | SIRS+ | Biomarker | 28-day mortality | 0.72 vs. 0.78 | [13] | 2019 | US | 1874 | 51% | 56 (42–70) | 1.9% | Ward | Case-mix | EWS | 24 h clinical deterioration | 0.73 vs. 0.70 | [21] | 2004 | Germany | 412 | 59% | | 17.7% | ICU | Case-mix | SAPS II | Hospital mortality | 0.75 vs. 0.84 | [22] | 2001 | US | 235 | 54% | | 18.85% | ICU | Non-trauma | MPM | 24 h ICU mortality | NA | [24] | 2018 | Spain | 154 | 37% | | 8.4% | ED | Pulmonary embolism | PESI sPESI | 30-day mortality | 0.73 vs. 0.65 0.77 vs. 0.65 | [25] | 2018 | China | 220 | 62.73% | | 13.6% | ED | Shock | LiPS | 30-day mortality | 0.72 vs. 0.62 | [34] | 2021 | Sweden | 323 | 58.5% | 78 (72–85) | 44.6% | ED | Sepsis | NEWS2, RETTS | Sepsis within 36 h from ED arrival | 0.67 vs. 0.57 0.68 vs. 0.57 | [41] | 2021 | UK | 1,344 | 42% | 70.8 (58.4-82.8) | 13.0% | ED | Sepsis | Machine learning SOFA mREMS | 31-day mortality | 0.85 vs. 0.73 0.75 vs. 0.73 0.64 vs. 0.73 | Current study | 2020 | Iran | 2,205 | 53% | | 19% | ED | Case-mix | mSOFA qSOFA | Hospital mortality | 0.74 vs. 0.68 0.70 vs. 0.68 |
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Abbreviation: APACHE II: Acute Physiology and Chronic Health Evaluation; qSOFA: quick Sepsis-Related Organ Failure Assessment; EWS: early warning score; SAPS: Simplified Acute Physiology Score; MPM: Mortality Prediction Model; PIRO: the predisposition, infection, response, and organ failure; PESI: Pulmonary Embolism Severity Index; sPESI: Simplified Pulmonary Embolism Severity Index; LiPS: Li’s pragmatic shock; mSOFA: modified Sepsis-Related Organ Failure Assessment.
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