Pediatric Cancer Mortality Risk Score | Medical Algorithm

Are you evaluating a pediatric cancer patient who has been admitted to the ICU?

Yes

Does the patient have leukemia, lymphoma or other nonsolid tumor?

Yes

Number of organ failures

Is the patient in septic shock?

Yes

Is the patient receiving inotropic medications?

Yes

Is the patient receiving mechanical ventilation?

Yes

White blood cell count

Percent neutrophils in peripheral blood (enter from 0 to 100)

Results

Please fill out required fields.

Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Total score

Does the patient have a high risk for mortality?

MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Seamlessly integrate our API library of over 5,000 evidence-based medical analytics into your products and workflows. Our APIs help you:

Build custom, automated clinical workflows tailored to your organization's needs.
Enhance your clinical decision support with advanced, evidence-based analytics.
Streamline revenue cycle management by integrating clinical analytics into billing, coding, and compliance processes.
Support payment and pre-approval processes with automated, standardized medical criteria.
Embed proven medical algorithms directly into your systems and services for consistent, high-quality outcomes.

With MedicalAlgorithms.com APIs, you can accelerate innovation, improve efficiency, and deliver more accurate, data-driven care—without reinventing the wheel.

Explore Medal API

Caution: A qualified health practitioner should verify all results.
Keep patient data confidential and comply with all legal requirements.

Please visit our website Medicalalgorithms.com for Description and Interpretation and further algorithms you may want to consider in the next steps of your evaluation. All information should be verified by a qualified health professional, and all use is subject to Medicalalgorithms.com Terms and Conditions. © Copyright Medicalalgorithms.com Limited

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
- Model for Predicting Mortality in Cancer Patient After 72 Hours in ICU
Severity, Prognosis, Stage

Therapy

Selection
- Model for Predicting Mortality in Cancer Patient After 72 Hours in ICU

Evaluation

Results

Please fill out required fields.

MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Specialty

Objective

ICD-10

Risk Score for Mortality in Pediatric Cancer Patient Admitted to ICU

Purpose: To evaluate a pediatric cancer patient admitted to the intensive care unit (ICU) using the mortality risk score of Meyer et al.

Evaluation

Results

Please fill out required fields.

MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Therapy

Specialty

Objective

ICD-10