Hemodynamic changes in patients with SARS-CoV-2 infection presenting for cesarean delivery under spinal anesthesia: a retrospective case-control study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is associated with adverse maternal and neonatal outcomes. Early studies suggested that COVID-19 was associated with a higher incidence of hypotension following neuraxial anesthesia in parturients. We explored the hemodynamic response to spinal anesthesia for cesarean delivery in pregnant severe respiratory distress syndrome-coronavirus-2 (SARS-CoV-2) positive patients, using a retrospective case-control design. METHODS: We searched our electronic medical records for patients who received spinal anesthesia for cesarean delivery, and were SARS-CoV-2 positive or recovered at delivery, and used historical and SARS-CoV-2 negative controls from two tertiary care hospitals. We compared the demographic, clinical, and hemodynamic variables between patients who were SARS-CoV-2 positive at delivery, those who were positive during pregnancy and recovered before delivery, and controls. Analyses were stratified by normotensive versus hypertensive status of the patients at delivery. RESULTS: We identified 22 SARS-CoV-2 positive, 73 SARS-CoV-2 recovered, and 1517 controls. The SARS-CoV-2 positive, and recovered pregnant patients, had on average 5.6 and 2.2 mmHg, respectively, higher post-spinal mean arterial pressures (MAPs) than control patients, adjusting for covariates. Additionally, the lowest post-spinal MAP was negatively correlated with the number of daysbetween the onset of COVID-19 symptoms and delivery in patients with hypertension (correlation -0.55, 95% CI -0.81 to -0.09). CONCLUSIONS: Patients with SARS-CoV-2 infection during pregnancy exhibit less spinal hypotension than non-infected patients. While the clinical significance of this finding is unknown, it points to important cardiovascular effects of the virus.

Protocol-Driven Intensive Outpatient Management of Pregnant Patients With Symptomatic Coronavirus Disease 2019.

BACKGROUND: Reports of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have focused on pregnant women hospitalized due to moderate to severe coronavirus disease 2019 (COVID-19) or asymptomatic women diagnosed through universal screening at the time of obstetric admission. Many pregnant women who have symptomatic SARS-CoV-2 infection may not meet criteria for hospitalization; however, whether and how these women can be managed safely in outpatient setting is not well described. METHODS: We sought to describe the time to symptom and viral clearance and to identify predictors of hospitalization to better understand the safety of monitoring pregnant patients with symptomatic COVID-19 in the outpatient setting. We performed a retrospective cohort study of pregnant patients with symptomatic, confirmed COVID-19 illness at a large, academic medical center. Patients had systematic telehealth follow up by a clinician team to assess for symptoms, provide virtual prenatal care, and arrange in-person visits when appropriate in a dedicated outpatient center. Data were collected via chart abstraction. RESULTS: Of 180 pregnant patients presenting with symptoms and undergoing reverse-transcription polymerase chain reaction (RT-PCR) testing, 67 patients with confirmed COVID-19 infection were identified during the study period. Nineteen (28%) required acute care given worsening of COVID-19 symptoms, and 95% of these were directed to this acute care setting due to symptom severity telehealth evaluation. Nine women (13%) were admitted to the hospital given worsening symptoms, 3 required intensive care unit care, 2 required ventilatory support, and 2 required delivery. Women with the presenting symptoms of fever, cough, shortness of breath, chest pain, or nausea and vomiting were more likely to require admission. The median duration from initial positive test to RT-PCR viral clearance was 26 days. Disease progression, time to viral clearance, and duration of symptoms did not vary significantly by trimester of infection. CONCLUSIONS: Management of the majority of pregnant women with symptomatic COVID-19 illness can be accomplished in the outpatient setting with intensive and protocol-driven monitoring for symptom progression.

Audit and feedback using the Robson classification to reduce caesarean section rates: a systematic review.

BACKGROUND: In most regions worldwide, caesarean section (CS) rates are increasing. In these settings, new strategies are needed to reduce CS rates. OBJECTIVES: To identify, critically appraise and synthesise studies using the Robson classification as a system to categorise and analyse data in clinical audit cycles to reduce CS rates. SEARCH STRATEGY: Medline, Embase, CINAHL and LILACS were searched from 2001 to 2016. SELECTION CRITERIA: Studies reporting use of the Robson classification to categorise and analyse data in clinical audit cycles to reduce CS rates. DATA COLLECTION: Data on study design, interventions used, CS rates, and perinatal outcomes were extracted. RESULTS: Of 385 citations, 30 were assessed for full text review and six studies, conducted in Brazil, Chile, Italy and Sweden, were included. All studies measured initial CS rates, provided feedback and monitored performance using the Robson classification. In two studies, the audit cycle consisted exclusively of feedback using the Robson classification; the other four used audit and feedback as part of a multifaceted intervention. Baseline CS rates ranged from 20 to 36.8%; after the intervention, CS rates ranged from 3.1 to 21.2%. No studies were randomised or controlled and all had a high risk of bias. CONCLUSION: We identified six studies using the Robson classification within clinical audit cycles to reduce CS rates. All six report reductions in CS rates; however, results should be interpreted with caution because of limited methodological quality. Future trials are needed to evaluate the role of the Robson classification within audit cycles aimed at reducing CS rates. TWEETABLE ABSTRACT: Use of the Robson classification in clinical audit cycles to reduce caesarean rates.