Gasometry: ideal puncture site
DOI:
https://doi.org/10.47187/cssn.Vol15.Iss2.353Keywords:
Arterial blood gas, Systolic blood pressure, Logistic regression, Arterial punctureAbstract
Introduction: Arterial blood gas (ABG) analysis is a fundamental procedure for assessing acid-base status, oxygenation, and ventilation in critically ill patients. Objective: To demonstrate, through a binary logistic regression model, that the ideal site for performing an easy ABG procedure depends on systolic blood pressure values. Methodology: An analytical observational study with a non-experimental, crosssectional, and retrospective design, applying a binary logistic regression model to associate the variables of systolic blood pressure and ease of ABG procedure. Information was collected from the medical records of critically ill patients admitted to Hospital Andino, Riobamba, Ecuador, during the 2018–2019 period, using inclusion and exclusion criteria. Statistical data were analyzed using IBM SPSS Statistics version 26.0 for Windows with a 95% confidence level. The results are presented in tables describing p-values for significance, Chi-square test results, Omnibus tests, Beta coefficients, and the constant of the predictive variable, along with the Odds Ratio values. Results: There is an inverse relationship between systolic blood pressure values and the likelihood of a difficult radial arterial puncture (Odds Ratio: 16%). Discussion: The Advanced Trauma Life Support (ATLS) guidelines associate systolic blood pressure with pulse quality, and the current study
highlights its importance in ABG sampling. Conclusions: The ideal site for a successful arterial sample depends on systolic blood pressure
values.
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