Predicting Survival | Terminal Illness Based on Palliative Performance Scale (PPS)

Purpose: To predict survival for a patient with a terminal illness using the model of Lau et al based on the PPS.

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Evaluation

Are you evaluating a patient with a terminal illness?

Yes

Gender of the patient

Male

Female

Age of the patient

years

Palliative Predictive Scale (PPS)

Select an appropriate answer for each finding

Patient location

Terminal illness

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Total score

Predicted median survival

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
Clinical Diagnosis, Including Family History For Genetics
- Findings in a Patient with Heart Disease Indicating a Survival of 6 Months or Less
- Findings Indicating Poor Survival in Patient with Nonmalignant Lung Disease
Criteria For Diagnosis
- End Stage Lung Disease Findings Indicating Survival of 6 Months or Less
Severity, Prognosis, Stage

Therapy

Selection

Monitoring

Disease Progression
- Findings in Patient with AIDS Indicating Survival of 6 Months or Less
- Advanced Heart Failure | Triggers for Supportive & Palliative Care
Complication Detection
- Predictors for Death Within 3 Months in HIV Patient with Neurologic Failure in ICU

Patient Concerns

Quality Of Life
End-of-life, Palliative Care

Objective

severity
prognosis
stage
quality of life
end-of-life
palliative care

ICD-10

Z51.5 - Palliative care

Info

Purpose: To predict survival for a patient with a terminal illness using the model of Lau et al based on the PPS.

Objective: severity, prognosis, stage, quality of life, end-of-life, palliative care

ICD-10: Z51.5,

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