Biopsychosocial predictors of chronic pain after caesarean delivery: a prospective cohort evaluation of the SPACE (Sleep, Pain, Affect, Cognition, Energy)-Postpartum framework

Background: Chronic pain after caesarean delivery is associated with impaired maternal quality of life, yet validated risk assessment tools are lacking. We evaluated a novel symptom-based SPACE (Sleep, Pain, Affect, Cognition, Energy)-Postpartum framework, conceptualised as a multidomain symptom system through triangulation of qualitative interviews, prospective cohort observations, and prior literature, for predicting chronic pain at 3 months postpartum. Methods: In this prospective observational cohort study in participants undergoing caesarean delivery, psychosocial variables and the SPACE-Postpartum framework were evaluated via validated self-report questionnaires, including a single-item measure assessing perceived control, at 24-48 h, 2 weeks, and 3 months postpartum. Chronic pain was defined as pain persisting at 3 months. A five-item model, selecting one measure for each SPACE domain, was derived using ridge-regularised logistic regression. Latent class and mediation analyses explored clustering and pathways. Results: =0.024). Mediation analysis suggested acute pain had direct effects, while sleep disturbance was an independent risk marker for subsequent chronic pain. Conclusions: We report that chronic pain after caesarean delivery is common. Early multidomain assessment may enable risk stratification and facilitate targeted intervention. The SPACE-Postpartum framework provides early proof-of-concept for a structured system of interacting symptom domains to support risk stratification, warranting multicentre validation.

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Publication Details

Journal
BJA Open
Published
2026-05-01
DOI
https://doi.org/10.1016/j.bjao.2026.100560
Primary Topic
Pregnancy-related medical research
Type
article
Field-Weighted Citation Impact
0.00

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article

Biopsychosocial predictors of chronic pain after caesarean delivery: a prospective cohort evaluation of the SPACE (Sleep, Pain, Affect, Cognition, Energy)-Postpartum framework

Brendan Carvalho, Sarah Ciechanowicz, Guillermina Michel, Hannah Sukhdeo et al.
BJA Open
Pregnancy-related medical research
article

Biopsychosocial predictors of chronic pain after caesarean delivery: a prospective cohort evaluation of the SPACE (Sleep, Pain, Affect, Cognition, Energy)-Postpartum framework

Brendan Carvalho, Sarah Ciechanowicz, Guillermina Michel, Hannah Sukhdeo, Nisha Panigrahy, Pervez Sultan
article en

Abstract

Background: Chronic pain after caesarean delivery is associated with impaired maternal quality of life, yet validated risk assessment tools are lacking. We evaluated a novel symptom-based SPACE (Sleep, Pain, Affect, Cognition, Energy)-Postpartum framework, conceptualised as a multidomain symptom system through triangulation of qualitative interviews, prospective cohort observations, and prior literature, for predicting chronic pain at 3 months postpartum. Methods: In this prospective observational cohort study in participants undergoing caesarean delivery, psychosocial variables and the SPACE-Postpartum framework were evaluated via validated self-report questionnaires, including a single-item measure assessing perceived control, at 24-48 h, 2 weeks, and 3 months postpartum. Chronic pain was defined as pain persisting at 3 months. A five-item model, selecting one measure for each SPACE domain, was derived using ridge-regularised logistic regression. Latent class and mediation analyses explored clustering and pathways. Results: =0.024). Mediation analysis suggested acute pain had direct effects, while sleep disturbance was an independent risk marker for subsequent chronic pain. Conclusions: We report that chronic pain after caesarean delivery is common. Early multidomain assessment may enable risk stratification and facilitate targeted intervention. The SPACE-Postpartum framework provides early proof-of-concept for a structured system of interacting symptom domains to support risk stratification, warranting multicentre validation.

BJA OpenVol. 18
University College London Hospitals NHS Foundation Trust (GB), University College London (GB), Imperial College London (GB), Stanford University (US)
Stanford University, School of Medicine, Stanford University
Openalex Percentile: Top 9%
Pregnancy-related medical research
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