Pain after cesarean section: do we have reliable predictors? Scoping review
- 作者: Shindyapina N.1, Marshalov D.1, Shifman E.2,3, Kuligin A.1
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隶属关系:
- Razumovsky Saratov State Medical University
- Vladimirsky Moscow Regional Research Clinical Institute
- Pirogov Russian National Research Medical University
- 期: 卷 18, 编号 2 (2024)
- 页面: 165-182
- 栏目: Reviews
- URL: https://journals.rcsi.science/1993-6508/article/view/262174
- DOI: https://doi.org/10.17816/RA624540
- ID: 262174
如何引用文章
详细
BACKGROUND: Every year, the number of publications devoted to the study of various tools for predicting the intensity of pain after cesarean section is growing, which necessitated the generalization and systematization of these data.
OBJECTIVE: Our aim was to identify factors contributing to high-intensity pain after cesarean section (CS).
MATERIALS AND METHODS: a scoping review based on the PRISMA for Scoping Reviews (PRISMA-ScR) guidelines was conducted using PubMed, Cochrane Database of Systematic Reviews, and Google Scholar. The search was performed using the following keywords: “predictors” OR “prediction” OR “forecasting” AND “cesarean section” AND “pain”) in Russian and English, last search date November 30, 2022. The inclusion criteria for the review were formulated using the PICOD method: (P) population: postpartum women; (I) intervention: CS surgery; (C) comparison: surgical approach, anesthesia method, psychological status, pain threshold, genetic characteristics; (O) outcomes: pain intensity scores, analgesic requirements; (D) study design: prospective/retrospective cohort studies. Exclusion criteria were as follows: lack of sufficient data or outcome of interest; duplicate publication; chronic pain; publications devoted to pain relief during childbirth or pain after other surgical interventions; lack of full-text version; reviews and meta-analyses. The quality of selected non-randomized cohort studies was assessed using the Newcastle-Ottawa Scale (NOS).
RESULTS: 30 cohort studies were selected, involving 11,063 patients. Most studies were assigned an NOS score of 6 to 8, which was considered good quality. Two groups of factors were identified as predictors of the intensity of postoperative pain: factors associated with the characteristics of the patient (physical status, psychological status, individual pain threshold and pain tolerance, genetic characteristics) and factors associated with the characteristics of the operation and anesthesia.
CONCLUSION: the scoping review allowed us to identify reliable factors predicting high-intensity pain after CS, which should be taken into account when planning anesthesiological care for patients.
作者简介
Nataliya Shindyapina
Razumovsky Saratov State Medical University
编辑信件的主要联系方式.
Email: schindyapinan@yandex.ru
ORCID iD: 0000-0002-7124-3697
SPIN 代码: 6186-5930
MD, assistant lecturer
俄罗斯联邦, SaratovDmitry Marshalov
Razumovsky Saratov State Medical University
Email: marshald@mail.ru
ORCID iD: 0000-0002-8774-0700
SPIN 代码: 4682-2711
MD, Dr. Sci. (Med.), associate professor
俄罗斯联邦, SaratovEfim Shifman
Vladimirsky Moscow Regional Research Clinical Institute; Pirogov Russian National Research Medical University
Email: eshifman@mail.ru
ORCID iD: 0000-0002-6113-8498
SPIN 代码: 4582-8494
MD, Dr. Sci. (Med.), Professor
俄罗斯联邦, Moscow; MoscowAlexander Kuligin
Razumovsky Saratov State Medical University
Email: avkuligin@yandex.ru
ORCID iD: 0000-0001-5705-215X
SPIN 代码: 1651-8142
MD, Dr. Sci. (Med.), associate professor
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