Preoperative sleep quality predicts postoperative pain after planned caesarean delivery.

BACKGROUND: Severe post-caesarean pain remains an important issue associated with persistent pain and postpartum depression. Women's sleep quality prior to caesarean delivery and its influence on postoperative pain and analgesic intake have not been evaluated yet. METHODS: Women undergoing caesarean delivery with spinal anaesthesia (bupivacaine 12 mg, fentanyl 20 µg, morphine 100 µg) were evaluated preoperatively for sleep quality using the Pittsburgh Sleep Quality Index (PSQI) questionnaire (PSQI 0-5 indicating good sleep quality, PSQI 6-21 poor sleep quality). Peak and average postoperative pain scores at rest, movement and uterine cramping were evaluated during 24 h using a verbal numerical pain score (VNPS; 0 indicating no pain and 100 indicating worst pain imaginable), and analgesic intake was recorded. Primary outcome was peak pain upon movement during the first 24 h. RESULTS: Seventy-eight of 245 women reported good sleep quality (31.2%; average PSQI 3.5 ± 1.2) and 167 poor sleep quality (68.2%; average PSQI 16.0 ± 3.4; p < 0.001). Women with poor sleep quality had significantly higher peak pain scores upon movement (46.7 ± 28.8 vs. 36.2 ± 25.6, respectively; p = 0.006). With multivariable logistic regression analysis, poor sleep quality significantly increased the risk for severe peak pain upon movement (VNPS ≥70; OR 2.64; 95% CI 1.2-6.0; p = 0.02). DISCUSSION: A significant proportion of women scheduled for caesarean delivery were identified preoperatively as having poor sleep quality, which was associated with more severe pain and increased analgesic intake after delivery. The PSQI score may therefore be a useful tool to predict increased risk for acute post-caesarean pain and higher analgesic requirements, and help tailor anaesthetic management. SIGNIFICANCE: Multiple studies have evaluated predictors for severe acute pain after caesarean delivery that may be performed in a clinical setting, however, sleep quality prior to delivery has not been included in predictive models for post-caesarean pain. The PSQI questionnaire, a simple test to administer preoperatively, identified that up to 70% of women report poor sleep quality before delivery, and poor sleep quality was associated with increased post-caesarean pain scores and analgesic intake, indicating that PSQI could help identify preoperatively women at risk for severe pain after caesarean delivery.

Severe pain during local infiltration for spinal anaesthesia predicts post-caesarean pain.

BACKGROUND: Quantitative sensory testing (QST) measures response to painful stimuli and has been used to predict post-caesarean pain. Pain reported upon intravenous cannulation was shown to predict epidural analgesic use and pain intensity during labour. We hypothesized that pain intensity reported by women upon local anaesthesia injection (ILA) for spinal anaesthesia may predict acute pain after caesarean delivery (CD). METHODS: In a prospective observational trial, 229 women undergoing elective CD under spinal anaesthesia were enrolled. Using standardized script before ILA, women received ILA (lidocaine 1% 2.5 mL via 25 G needle), and provided an ILA score after the injection [verbal numeric pain scale (VNPS); 0-100]. Demographic data, average, peak pain (at rest, with movement and uterine cramping) and analgesic requests were recorded for the first 24 h. RESULTS: Fourteen percent of women experienced severe pain (VNPS ≥70) upon ILA. Good correlation was noted between ILA and pain scores at rest and upon mobilization during the 24 h following surgery (average resting pain r = 0.529, p < 0.001, average pain at mobilization r = 0.483, p < 0.0001). Severe acute postoperative pain (VNPS ≥70) was predicted by severe ILA pain with a sensitivity of 91.6% and specificity of 93.3%. CONCLUSION: This is the first study evaluating a clinical measure to predict post-caesarean pain. Our main findings were that 14% of women experience severe pain upon ILA, which was associated with increased pain during the first 24 h.