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Analysis of Unplanned Intensive Care Unit Admissions in Postoperative Pediatric Patients
Elizabeth K Landry1, Rodney A Gabriel2, Sascha Beutler1
11 Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Insights
Unplanned pediatric intensive care unit (ICU) admissions after surgery are associated with patient factors like age and American Society of Anesthesiologists (ASA) status, as well as surgical and anesthetic complexity. This large study identified key risk factors for these critical postoperative events.
Area of Science:
- Pediatric Anesthesiology
- Critical Care Medicine
- Surgical Outcomes Research
Background:
- Limited data exists on unplanned pediatric intensive care unit (ICU) admissions post-surgery.
- Previous studies suggest airway and respiratory issues increase risk.
- A comprehensive analysis of risk factors is needed.
Purpose of the Study:
- Determine the rate of unplanned postoperative ICU admissions in pediatric patients.
- Identify patient, surgical, and anesthetic risk factors using a large, multi-institution dataset.
Main Methods:
- Analysis of data from the National Anesthesia Clinical Outcomes Registry.
- Inclusion of patients under 18 years old.
- Univariate and multivariate logistic regression to identify risk factors.
Main Results:
- 211 unplanned ICU admissions occurred among 324,818 cases.
- Infants and patients with ASA status III or IV had higher admission rates.
- Longer surgery duration and general anesthesia were associated with increased admissions.
Conclusions:
- This study provides the rate of unplanned ICU admissions in a diverse pediatric surgical population.
- It is the first large-scale study to identify risk factors across various practice settings.
- Patient, surgical, and anesthetic complexity are significant contributors to unplanned pediatric ICU admissions.
Background:
Currently, there are only a few retrospective, single-institution studies that have addressed the prevalence and risk factors associated with unplanned admissions to the pediatric intensive care unit (ICU) after surgery. Based on the limited amount of studies, it appears that airway and respiratory complications put a child at increased risk for unplanned ICU admission. A more extensive and diverse analysis of unplanned postoperative admissions to the ICU is needed to address risk factors that have yet to be revealed by the current literature.
Aim:
To establish a rate of unplanned postoperative ICU admissions in pediatric patients using a large, multi-institution data set and to further characterize the associated risk factors.
Methods:
Data from the National Anesthesia Clinical Outcomes Registry were analyzed. We recorded the overall risk of unplanned postoperative ICU admission in patients younger than 18 years and performed univariate and multivariate logistic regression analysis to identify the associated patient, surgical, and anesthetic-related characteristics.
Results:
Of the 324 818 cases analyzed, 211 reported an unexpected ICU admission. There was an increased likelihood of unplanned postoperative ICU in infants (age <1 year) and children who were classified as American Society of Anesthesiologists physical status classification of III or IV. Likewise, longer case duration and cases requiring general anesthesia were also associated with unplanned ICU admissions.
Conclusion:
This study establishes a rate of unplanned ICU admission following surgery in the heterogeneous pediatric population. This is the first study to utilize such a large data set encompassing a wide range of practice environments to identify risk factors leading to unplanned postoperative ICU admissions. Our study revealed that patient, surgical, and anesthetic complexity each contributed to an increased number of unplanned ICU admissions in the pediatric population.
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