Predicting the Severity of Acute Pain after Cesarean Delivery: A Narrative Review.

Abstract

Purpose of the review: Cesarean delivery is one of the most common surgical procedures performed worldwide. Approximately 28-78% of the patients have reported experiencing severe pain after Cesarean delivery, which is associated with adverse outcomes. Current analgesic management strategies employ a one-size-fits-all approach, which may not be suitable for all post-Cesarean patients. Our ongoing research and the purpose of this review are focusing on preoperative risk assessment to identify patients at risk of severe pain or needing higher doses of opioid or other analgesics.

Recent findings: Recent clinical investigations have found that by utilizing the demographic and psychological evaluations, screening tests, quantitative sensory testing, and assessment of response to local anesthetic infiltration, clinicians were potentially able to stratify the risks for severe post-cesarean pain. Several modalities demonstrated significant correlations with pain outcomes, although most of these correlations were weak to modest. Since consensus statement regarding predicting post-CD pain control are still lacking, these correlations can be clinically helpful. It is possible to identify patients at high risk of developing severe acute pain after cesarean section by preoperative demographic data, screening questionnaires, or other tools. Further studies are needed to identify additional variables or screening tools for more accurate prediction and investigate whether personalized analgesic regimens can lead to improved analgesic outcomes.