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Updated: Jun 26, 2026

Conducting Respiratory Oscillometry in an Outpatient Setting
Published on: April 8, 2022
Respiratory support in oncology ward setting: a prospective descriptive study
Seema Mishra1, Sushma Bhatnagar, Deepak Gupta
1Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India. mseema17@ yahoo.co.in
Predicting outcomes for cancer patients on mechanical ventilation is possible with 77% accuracy using pre-ventilation data. This aids in informed decisions regarding respirator use and advance care planning for improved quality of life.
Area of Science:
- Oncology
- Critical Care Medicine
- Pulmonology
Background:
- Mechanical ventilation is crucial for cancer patients requiring respiratory support.
- This study addresses the need for better quality of life measures in oncology patients on respirators.
Purpose of the Study:
- To assess cancer patients needing mechanical ventilation in an oncology ward setting.
- To analyze disease progression in patients on respirators.
- To improve quality of life through informed decision-making.
Main Methods:
- Prospective descriptive study of 132 cancer patients on mechanical ventilation over 1 year.
- Assessment of pre-ventilation variables to predict medical futility.
- Correlation of patient outcomes with predicted futility of mechanical ventilation.
Main Results:
- 77% accuracy in predicting medical futility and hospital discharge based on pre-ventilation data.
- 10% underestimation and 13% overestimation of survival to hospital discharge.
- Median age of patients was 40 years.
Conclusions:
- Pre-ventilation variables accurately predict outcomes in 77% of cancer patients needing respirator support.
- High prediction accuracy facilitates informed advance directives and DNAR policies.
- Judicious respirator use improves quality of life for cancer patients.
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