Background. Dexmedetomidine is a selective α-2 agonist commonly used for sedation that has been used in obstetric anesthesia for multimodal labor analgesia, postcesarean delivery analgesia, and perioperative shivering. This study evaluated the role of intravenous dexmedetomidine to provide rescue analgesia and/or sedation during cesarean delivery under neuraxial anesthesia. Methods. We conducted a single-center, retrospective cohort study of all parturients undergoing cesarean delivery under neuraxial anesthesia between December 1, 2018, and November 30, 2019, who required supplemental analgesia during the procedure. Patients were divided into two groups: patients who received intravenous dexmedetomidine (Dexmed group) and patients who received adjunct medications such as fentanyl, midazolam, ketamine, and nitrous oxide (Standard group). Primary outcome was incidence of conversion to general anesthesia. Results. During the study period, 107 patients received adjunct medications. There was no difference in conversion to general anesthesia between the Dexmed group and the Standard group (6% (4/62) vs. 9% (4/45); p = 0.718 ). In the Dexmed group, the mean dexmedetomidine dose received was 37 μg (range 10 to 140 μg). While the use of inotropic/vasopressor medications was common and similar in both groups, there was an increase in the incidence of bradycardia (Dexmed 15% vs. Standard 2%; p = 0.042 ) but not hypotension (Dexmed 24% vs. Standard 24%; p = 1.00 ) in the Dexmed group. Conclusion. In patients who required supplemental analgesia for cesarean delivery, those who received dexmedetomidine versus other medications had a similar rate of conversion to general anesthesia, a statistically significant increase in bradycardia, but no difference in the incidence of hypotension.
Detecting cardiomyopathies in pregnancy and the postpartum period with an electrocardiogram-based deep learning model
Abstract Aims Cardiovascular disease is a major threat to maternal health, with cardiomyopathy being among the most common acquired cardiovascular diseases during pregnancy and the postpartum period. The aim of our study was to evaluate the effectiveness of an electrocardiogram (ECG)-based deep learning model in identifying cardiomyopathy during pregnancy and the postpartum period. Methods and results We used an ECG-based deep learning model to detect cardiomyopathy in a cohort of women who were pregnant or in the postpartum period seen at Mayo Clinic. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity. We compared the diagnostic probabilities of the deep learning model with natriuretic peptides and a multivariable model consisting of demographic and clinical parameters. The study cohort included 1807 women; 7%, 10%, and 13% had left ventricular ejection fraction (LVEF) of 35% or less, <45%, and <50%, respectively. The ECG-based deep learning model identified cardiomyopathy with AUCs of 0.92 (LVEF ≤ 35%), 0.89 (LVEF < 45%), and 0.87 (LVEF < 50%). For LVEF of 35% or less, AUC was higher in Black (0.95) and Hispanic (0.98) women compared to White (0.91). Natriuretic peptides and the multivariable model had AUCs of 0.85 to 0.86 and 0.72, respectively. Conclusions An ECG-based deep learning model effectively identifies cardiomyopathy during pregnancy and the postpartum period and outperforms natriuretic peptides and traditional clinical parameters with the potential to become a powerful initial screening tool for cardiomyopathy in the obstetric care setting.
Antisynthetase Syndrome with Severe Interstitial Lung Disease in Pregnancy
Antisynthetase syndrome is a rare multisystem autoimmune disorder which clinically manifests with myositis, arthritis, interstitial lung disease, Raynaud phenomenon, and skin hyperkeratosis. Lung involvement represents the most severe form of disease and has rarely been reported in pregnancy. We present the case of a 22-year-old woman with antisynthetase syndrome and severe restrictive pulmonary disease who experienced a successful pregnancy and delivery. We discuss anesthetic considerations and highlight the importance of a multidisciplinary team approach in caring for parturients with multifactorial medical conditions.
Labor Analgesia in a Patient with Severe Dystrophic Calcinosis Cutis
Abstract Introduction Calcinosis cutis is a condition characterized by pathologic calcium deposition into superficial dermal skin layers. It is often associated with an autoimmune disease. However, it may also occur after minor localized trauma and infection. Description of Problem We report a case of lumbar epidural placement of labor analgesia in a parturient with severe dystrophic calcinosis cutis without apparent complications. Clinical Solution We recommend fastidious optimization of epidural placement conditions for all patients who may be at high risk for neuraxial anesthesia, including consideration of ultrasound use, use of an experienced anesthesia provider for neuraxial placement, and placement in early labor. Additionally, judicious discussion of risks, benefits, and alternatives when obtaining informed consent is critical, ideally with the patient identified for a comprehensive visit in a preoperative obstetric anesthesia clinic before delivery.
Management of Supraventricular Tachycardia in Pregnancy
Abstract Supraventricular tachycardia is a common arrhythmia in pregnancy. During labor and delivery, neuraxial analgesia is important to prevent arrhythmia recurrence. We present the case of a 27-year-old gravida 2 para 1 woman at 35 weeks’ gestation presenting with supraventricular tachycardia that converted to normal sinus rhythm with adenosine. To prevent recurrence of the arrhythmia, an early epidural was provided during labor to minimize catecholamine release.