What is the clinical evidence from this study?

Study design: Observational. Population: admission to cardiothoracic critical care (n=27240). Intervention: ARCtIC risk-prediction model. Primary outcome: hospital mortality (c index 0.904, 95% CI 0.89-0.92).

September 26, 2016Anaesthesia

The Assessment of Risk in Cardiothoracic Intensive Care ( ARC t IC ): prediction of hospital mortality after admission to cardiothoracic critical care

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Key result

The ARCtIC risk-prediction model accurately predicted hospital mortality after admission to cardiothoracic critical care, demonstrating a validation c-index of 0.904 (95% CI 0.89-0.92).

Why the study?

Can the ARCtIC risk-prediction model accurately predict hospital mortality in patients admitted to cardiothoracic critical care units?

Population

27,240 patients admitted to five cardiothoracic critical care units.

Design

Cohort

Follow-up

Until hospital discharge

Authors

JSJason ShahinJohn F. Kennedy University PFPaloma Ferrando-VivasIntensive Care National Audit & Research Centre GPG. Sarah PowerDalhousie University

Discussion

Member takes

Implication

May support mortality risk stratification in cardiothoracic critical care; extends prior models but leaves open need for prospective validation.

Study Design

Type

Observational (n=27,240)

Multicenter

Yes

Structured PICO

Can the ARCtIC risk-prediction model accurately predict hospital mortality in patients admitted to cardiothoracic critical care units?

Population

27,240 patients admitted to cardiothoracic critical care units used to derive and validate a risk-prediction model for hospital mortality.

Exposure

The Assessment of Risk in Cardiothoracic Intensive Care (ARCtIC) prediction model, utilizing 10 variables (creatinine, white blood count, mean arterial blood pressure, functional dependency, platelet count, arterial pH, age, Glasgow Coma Score, arterial lactate, and route of admission).

Outcome

Hospital mortalityhard clinical

Main Result

Effect estimate: c index 0.904 (95% CI 0.89-0.92)

The ARCtIC model provides a highly discriminative and well-calibrated tool specifically designed to predict hospital mortality for patients in cardiothoracic critical care.

Cite This Study

Shahin et al. (2016) conducted an observational in admission to cardiothoracic critical care (n=27,240). ARCtIC risk-prediction model was evaluated on hospital mortality (c index 0.904, 95% CI 0.89-0.92). The ARCtIC risk-prediction model accurately predicted hospital mortality after admission to cardiothoracic critical care, demonstrating a validation c-index of 0.904 (95% CI 0.89-0.92).

synapsesocial.com/papers/6a986dbbb52d724140ad8dad https://doi.org/10.1111/anae.13624

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Implication

May support mortality risk stratification in cardiothoracic critical care; extends prior models but leaves open need for prospective validation.

The Assessment of Risk in Cardiothoracic Intensive Care ( ARC t IC ): prediction of hospital mortality after admission to cardiothoracic critical care

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Cite This Study

The Assessment of Risk in Cardiothoracic Intensive Care ( ARC t IC ): prediction of hospital mortality after admission to cardiothoracic critical care

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Cite This Study

Also Consider

Also Consider