Gastroenterologic Emergency Prognosis Equation - Medical Algorithm

Are you evaluating a patient admitted to the ICU following a gastroenterologic emergency?

Yes

Acute Physiology Score (APS, from APACHE II) on day 1

TISS on day 1

Age of the patient

years

Was the patient admitted to the ICU following surgery?

Yes

Does the patient have?

• liver disease?

Yes

• cardiovascular disease?

Yes

• pulmonary disease?

Yes

• renal disease?

Yes

• an immunocompromised state?

Yes

• gastrointestinal bleeding?

Yes

• sepsis?

Yes

• neoplasm?

Yes

• onset of respiratory insufficiency following surgery?

Yes

• hemorrhagic shock?

Yes

• bowel perforation or obstruction?

Yes

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Data complete?

Evaluation appropriate?

Value for A

Value for B

Probability of in hospital mortality using model A

Probability of in hospital mortality using model B

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Interpretation and Description

References

Next Steps in Evaluation

Severity, Prognosis, Stage
- Organ Failure Score Algorithm to Predict Mortality in the ICU

Evaluation

Results

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MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Specialty

Objective

ICD-10

Predicting Patient Outcome Following an Gastroenterologic Emergency Using the Acute Physiology Score (APS) and TISS in the Equations of Niskanen et al

Purpose: To predict the in-hospital mortality for a patient admitted to the intensive care unit (ICU) following a gastroenterologic emergency.

Evaluation

Results

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MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Specialty

Objective

ICD-10