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Predicting the Severity of Acute Pain after Cesarean Delivery: A Narrative Review.
Sangkum, Lisa; Chalacheewa, Theerawat; Tunprasit, Choosak; Lavanrattanakul, Phisut; Liu, Henry.
Afiliación
  • Sangkum L; Department of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
  • Chalacheewa T; Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
  • Tunprasit C; Department of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
  • Lavanrattanakul P; Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
  • Liu H; Department of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
Curr Pain Headache Rep ; 2024 Jul 23.
Article en En | MEDLINE | ID: mdl-39042300
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Curr Pain Headache Rep Asunto de la revista: FISIOLOGIA / NEUROLOGIA / PSICOFISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Curr Pain Headache Rep Asunto de la revista: FISIOLOGIA / NEUROLOGIA / PSICOFISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Estados Unidos