Models for Prediction of Ventilator Weaning and Survival in COPD Patients

Purpose: To predict the probability of weaning and survival in a COPD patient placed on mechanical ventilation for acute respiratory failure.

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Evaluation

Are you evaluating a COPD patient who is being mechanically ventilated for acute respiratory failure?

Yes

FEV1 as percent of predicted (enter from 0 to 100)

percent

Serum albumin

Negative inspiratory force

cm H2O

Tidal volume

Is there evidence of cor pulmonale on ECG?

Yes

Left ventricular ejection fraction in percent (enter from 0 to 100)

Does the patient have evidence of pulmoanry edema?

Yes

Lifestyle prior to current episode

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Value for X

Value for Y

Value for Z

Probability of survival

Probability of weaning based on premorbid data

Probability of weaning based on all data

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Clinical Diagnosis, Including Family History For Genetics
- CROP Index
Other Testing
Severity, Prognosis, Stage
Complications

Therapy

Selection
Dosage Adjustments
- Adjusting Ventilator Rate to Achieve a Desired PaCO2
Failure Handling And Therapy Escalation
- Prediction Rule of Mokhlesi et al for Extubation Failure Following a Successful Spontaneous Breathing Trial

Monitoring

Compliance/adherence
- Ventilator Score of Morganroth et al
Complication Detection
- Prediction Rule of Mokhlesi et al for Extubation Failure Following a Successful Spontaneous Breathing Trial

Specialty

Pulmonology

Objective

criteria for diagnosis
severity
prognosis
stage
options
selection

ICD-10

J44 - Other chronic obstructive pulmonary disease
Z99.1 - Dependence on respirator

Info

Purpose: To predict the probability of weaning and survival in a COPD patient placed on mechanical ventilation for acute respiratory failure.

Specialty: Pulmonology

Objective: criteria for diagnosis, severity, prognosis, stage, options, selection

ICD-10: J44, Z99.1,

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