Development and internal validation of the Simplified Mortality Score for the Intensive Care Unit (<scp>SMS</scp>‐<scp>ICU</scp>)

Beane, Abi; Baker, Tim; Riviello, Elisabeth D.; Schell, Carl Otto; Dondorp, Arjen M.

doi:10.1111/aas.13080

Acta Anaesthesiol Scand

2018

DOI: 10.1111/aas.13080

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Development and internal validation of the Simplified Mortality Score for the Intensive Care Unit (SMS‐ICU)

Abi Beane¹,

Tim Baker

Elisabeth D. Riviello

et al.

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Cited by 2 publications

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“…The internal validation essentially means reusing parts or all of the dataset on which a model was developed to assess the likely overfit and correct for the resulting ‘optimism’ in the performance of the prediction model ( 5 ). The entire data (N) is randomly partitioned into the development data-set (A) and test data-set (NA), which in this case are used for the prediction model for development and validation ( 6 ), respectively. And the R square of the prediction model were in this case, derived on the basis of the multivariate regression analysis.…”

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confidence: 99%

RE: Efficacy and Safety of Radiofrequency Ablation for Benign Thyroid Nodules: A Prospective Multicenter Study

2018

Korean J Radiol

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mentioning

confidence: 99%

RE: Efficacy and Safety of Radiofrequency Ablation for Benign Thyroid Nodules: A Prospective Multicenter Study

2018

Korean J Radiol

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Predicting mortality in adults with suspected infection in a Rwandan hospital: an evaluation of the adapted MEWS, qSOFA and UVA scores

et al. 2021

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RationaleMortality prediction scores are increasingly being evaluated in low and middle income countries (LMICs) for research comparisons, quality improvement and clinical decision-making. The modified early warning score (MEWS), quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA), and Universal Vital Assessment (UVA) score use variables that are feasible to obtain, and have demonstrated potential to predict mortality in LMIC cohorts.ObjectiveTo determine the predictive capacity of adapted MEWS, qSOFA and UVA in a Rwandan hospital.Design, setting, participants and outcome measuresWe prospectively collected data on all adult patients admitted to a tertiary hospital in Rwanda with suspected infection over 7 months. We calculated an adapted MEWS, qSOFA and UVA score for each participant. The predictive capacity of each score was assessed including sensitivity, specificity, positive and negative predictive value, OR, area under the receiver operating curve (AUROC) and performance by underlying risk quartile.ResultsWe screened 19 178 patient days, and enrolled 647 unique patients. Median age was 35 years, and in-hospital mortality was 18.1%. The proportion of data missing for each variable ranged from 0% to 11.7%. The sensitivities and specificities of the scores were: adapted MEWS >4, 50.4% and 74.9%, respectively; qSOFA >2, 24.8% and 90.4%, respectively; and UVA >4, 28.2% and 91.1%, respectively. The scores as continuous variables demonstrated the following AUROCs: adapted MEWS 0.69 (95% CI 0.64 to 0.74), qSOFA 0.65 (95% CI 0.60 to 0.70), and UVA 0.71 (95% CI 0.66 to 0.76); there was no statistically significant difference between the discriminative capacities of the scores.ConclusionThree scores demonstrated a modest ability to predict mortality in a prospective study of inpatients with suspected infection at a Rwandan tertiary hospital. Careful consideration must be given to their adequacy before using them in research comparisons, quality improvement or clinical decision-making.

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Development and internal validation of the Simplified Mortality Score for the Intensive Care Unit (SMS‐ICU)

Cited by 2 publications

References 10 publications

RE: Efficacy and Safety of Radiofrequency Ablation for Benign Thyroid Nodules: A Prospective Multicenter Study

RE: Efficacy and Safety of Radiofrequency Ablation for Benign Thyroid Nodules: A Prospective Multicenter Study

Predicting mortality in adults with suspected infection in a Rwandan hospital: an evaluation of the adapted MEWS, qSOFA and UVA scores

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