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Postanesthesia Apnea in Former Preterm and Term Infants: A Qualitative Systematic Review and Meta-analysis.
Priti G Dalal1, Shobha Malviya2, Charles J Coté3
1Department of Anesthesiology and Peri-operative Medicine, Penn State College of Medicine, Penn State Health Children's Hospital, Hershey, Pennsylvania.
Anesthesiology
|May 12, 2026
Summary
Postanesthesia apnea in infants is linked to gestational age, birth weight, and procedure length. Postmenstrual age is the key risk factor, with neuraxial anesthesia potentially reducing apnea risk.
Area of Science:
- Pediatric Anesthesiology
- Neonatal Medicine
- Evidence-Based Medicine
Background:
- Former preterm and term infants face risks of postanesthesia apnea.
- Inconsistent monitoring and discharge standards contribute to variable clinical practices.
- Identifying major risk factors is crucial for improving infant safety post-anesthesia.
Purpose of the Study:
- To systematically review and meta-analyze risk factors for postanesthesia apnea in infants.
- To identify key predictors influencing the incidence of postanesthesia apnea.
Main Methods:
- Systematic review and meta-regression analysis following PRISMA and AHRQ guidelines.
- Literature search of multiple databases from inception to October 2025.
- Inclusion of 115 articles (98 studies, 17 case reports/series) for data extraction and analysis.
Main Results:
- Median apnea incidence was 7.6% across studies.
- Significant predictors identified: gestational age, postmenstrual age, birth weight, procedure duration, and publication year.
- Decreased apnea odds correlated with later publication year, older gestational/postmenstrual age, higher birth weight, and shorter procedure duration.
- Neuraxial anesthesia showed significantly lower apnea odds compared to general anesthesia.
Conclusions:
- Postmenstrual age is the most significant and consistent risk factor for postanesthesia apnea.
- Neuraxial anesthesia may offer a protective effect against postanesthesia apnea.
- Further research, including individual participant data meta-analysis, is needed to refine monitoring guidelines.
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