Optimising Ventilatory Strategies by Using Positive Respiratory Integer Measurements
• Background Intermittent Positive Pressure Ventilation is used during general anesthesia but can lead to serious complications. Respiratory parameter settings can be adjusted to minimize the detrimental effects of this unphysiological artificial respiration. Determining optimal ventilator settings is a multifactorial problem with many possible realisations. Knowledge of the relationship of patient outcomes with mathematically identifiable integer sets of ventilator setting parameters may help to understand which effects ventilator settings have on patient outcomes. An exploratory database study can provide a basis for further, prospective, interventional studies to find the optimal combination of ventilator settings.

Main research question

To determine the relationship between the use of mathematically identifiable integer ventilator parameter sets and patient outcomes
Design (including population, confounders/outcomes) Retrospective database study of all cases of adult patients undergoing procedures in the UMCG under general anesthesia with IPPV between 01-01-2018 and 01-04-2023. Multivariate and mixed-model analyses, where appropriate, will be corrections for patient specific characteristics such as ASA PS, age, BMI, sex.
Expected results Using mathematically identifiable integer ventilatory parameter sets improves respiratory and/or hemodynamic patient outcomes.
- EligibilityCriteria: Inclusion criteria: Adult patients having undergone surgery under general anesthesia with Intermittent Positive Pressure Ventilation in the UMCG between 01-01-2018 and 01-04-2023. Exclusion criteria: age <18 years; no use ofIntermittent Positive Pressure Ventilation; not under general anesthesia - HealthyVolunteers: No - Gender: All - MinimumAge: 18 Years - StdAgeList: Adult, Older Adult - StudyPopulation: Inclusion criteria: Adult patients having undergone surgery under general anesthesia with IPPV in the UMCG between 01-01-2018 and 01-04-2023.  • - SamplingMethod: Non-Probability Sample