| Title | A retrospective multicenter analysis of patient and hospital-level factors predicting the use of general anesthesia for cesarean deliveries. |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Authors | Tangel VE, Abramovitz S, Aaronson J, Jiang SY, Pryor KO, White RS |
| Journal | Int J Obstet Anesth |
| Volume | 54 |
| Pagination | 103638 |
| Date Published | 2023 May |
| ISSN | 1532-3374 |
| Keywords | Anesthesia, General, Anesthesia, Obstetrical, Female, Hospitals, Humans, Pregnancy, Retrospective Studies |
| Abstract | Though the rate of general anesthesia (GA) in lieu of neuraxial anesthesia (NA) for cesarean delivery (CD) continues to decline, variability in type of anaesthesia used has been shown across patient demographics and hospital resource levels. We read with great interest the study by Singh et al., which showed that each point increase on the obstetric comorbidity index (OB-CMI) was associated with increased odds of GA compared with NA for CD in a single-center population. We aimed to expand upon the Singh et al. study by comparing the performance of models with patient- and hospital-level characteristics. We hypothesized that in a multicenter setting, a model including hospital-level covariates would exhibit superior performance in accurately predicting the use of GA than models with patient-level covariates alone. |
| DOI | 10.1016/j.ijoa.2023.103638 |
| Alternate Journal | Int J Obstet Anesth |
| PubMed ID | 36841063 |