Persistent sleep disturbance after spine surgery is associated with failure to achieve meaningful improvements in pain and health-related quality of life

Validity and reliability of the sleep health index among patients with spinal degenerative diseases

OBJECTIVE

To test the validity and reliability of the Sleep Health Index (SHI) in a Chinese clinical sample, and thereby provide more evidence for the assessment of sleep health in future research and clinical practice.

METHODS

This study used a cross-sectional design. A convenient sample of 265 participants with spinal degenerative diseases was recruited from outpatient clinics. The SHI, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Patient Health Questionnaire-9 (PHQ-9), Visual Analogue Scale (VAS), and EuroQoL 5-Dimension 5-Level (EQ-5D-5L) were administered via REDCap. Structural, concurrent, convergent, known-group validity, internal consistency, and test-retest reliability were evaluated.

RESULTS

Confirmatory factor analysis confirmed a 3-factor structure (sleep duration, sleep quality, and disordered sleep). The overall SHI score had a high correlation with PSQI and ISI (r = -0.62 and -0.70, respectively) as well as a moderate correlation with PHQ-9 (r = -0.50, p<0.001). The overall SHI was significantly associated with VAS, ESS, and EQ-5D-5L (r = -0.15 to -0.23, p<0.05). Participants with pain had a lower score on the sleep quality sub-index than those without (p<0.001). Those with chronic diseases had a significantly lower score on the sleep duration sub-index than those without (p<0.05). Those with depression, poor sleep quality, and insomnia had lower scores on the overall scale and the three sub-indices than those without (p<0.05). The overall SHI showed acceptable internal consistency (Cronbach's α = 0.74) and test-retest reliability (intraclass correlation coefficient = 0.73).

CONCLUSIONS

The Chinese version of SHI showed good validity and acceptable reliability and could be used to assess sleep health among clinical populations.

Effects of ultrasound-guided stellate ganglion block on postoperative sore throat and postoperative sleep disturbance after lumbar spine surgery: a randomized controlled trial

BACKGROUND

Postoperative sore throat and sleep disturbance are prevalent among patients undergoing spinal surgery, and these conditions can substantially impact their postoperative satisfaction and quality of life. The present study aimed to examine the impact of ultrasound-guided stellate ganglion block (SGB) on the occurrence of postoperative sore throat (POST) and postoperative sleep disturbance (PSD) in patients who undergo lumbar spine surgery under general anesthesia.

METHODS

Sixty patients were randomly assigned to either the experimental group (SGB group) or the control group (CG). Both groups received the same induction and maintenance drugs. However, the SGB group received a right SGB under ultrasound guidance 15 min before anesthesia induction, while the CG did not receive any block anesthesia intervention before anesthesia induction. We monitored the incidence and severity of POST at 1, 6, 24, and 48 h after surgery in both groups. Additionally, we evaluated the deep sleep quality score on the first, second, and fifth days after surgery in both groups.

RESULTS

The incidence of POST at 1 h and 6 h after surgery was significantly lower in the SGB group (10.0% and 13.3%) than in the CG (43.3% and 36.7%) (P < 0.05). The postoperative sore throat scores of the SGB group (0.10 ± 0.31 and 0.17 ± 0.46) at 1 h and 6 h after surgery were lower than those of the CG (0.57 ± 0.73 and 0.50 ± 0.77) (P < 0.05). Moreover, the deep sleep quality score on the first, second, and fifth days after surgery were significantly higher in the CG (5.40 ± 3.37, 4.70 ± 3.19, 4.53 ± 3.44) than in the SGB group (3.87 ± 2.30, 3.13 ± 1.77, 3.03 ± 1.84) (P < 0.05).

CONCLUSION

Ultrasound-guided SGB can reduce the incidence and severity of POST and improve PSD in patients undergoing lumbar spine surgery.

TRIAL REGISTRATION

This study was registered on Chinese Clinical Trial Registry, (ChiCTR2200065279) on 01/11/2022.

Associations between perioperative sleep patterns and clinical outcomes in patients with intracranial tumors: a correlation study

Objective

Although the quality of perioperative sleep is gaining increasing attention in clinical recovery, its impact role remains unknown and may deserve further exploration. This study aimed to investigate the associations between perioperative sleep patterns and clinical outcomes among patients with intracranial tumors.

Methods

A correlation study was conducted in patients with intracranial tumors. Perioperative sleep patterns were assessed using a dedicated sleep monitor for 6 consecutive days. Clinical outcomes were gained through medical records and follow-up. Spearman's correlation coefficient and multiple linear regression analysis were applied to evaluate the associations between perioperative sleep patterns and clinical outcomes.

Results

Of 110 patients, 48 (43.6%) were men, with a median age of 57 years. A total of 618 days of data on perioperative sleep patterns were collected and analyzed. Multiple linear regression models revealed that the preoperative blood glucose was positively related to the preoperative frequency of awakenings (β = 0.125; 95% CI = 0.029-0.221; P = 0.011). The level of post-operative nausea and vomiting was negatively related to perioperative deep sleep time (β = -0.015; 95% CI = -0.027--0.003; P = 0.015). The level of anxiety and depression was negatively related to perioperative deep sleep time, respectively (β = -0.048; 95% CI = -0.089-0.008; P = 0.020, β = -0.041; 95% CI = -0.076-0.006; P = 0.021). The comprehensive complication index was positively related to the perioperative frequency of awakenings (β = 3.075; 95% CI = 1.080-5.070; P = 0.003). The post-operative length of stay was negatively related to perioperative deep sleep time (β = -0.067; 95% CI = -0.113-0.021; P = 0.005). The Pittsburgh Sleep Quality Index was positively related to perioperative sleep onset latency (β = 0.097; 95% CI = 0.044-0.150; P < 0.001) and negatively related to perioperative deep sleep time (β = -0.079; 95% CI = -0.122-0.035; P < 0.001).

Conclusion

Perioperative sleep patterns are associated with different clinical outcomes. Poor perioperative sleep quality, especially reduced deep sleep time, has a negative impact on clinical outcomes. Clinicians should, therefore, pay more attention to sleep quality and improve it during the perioperative period.

Clinical trial registration

http://www.chictr.org.cn, identifier: ChiCTR2200059425.

Development and validation of a nomogram for postoperative sleep disturbance in adults: a prospective survey of 640 patients undergoing spinal surgery

BACKGROUND

Postoperative sleep disturbance (PSD) is a prevalent clinical complication that may arise due to various factors. The purpose of this investigation is to identify the risk factors for PSD in spinal surgery and establish a risk prediction nomogram.

METHODS

The clinical records of individuals who underwent spinal surgery from January 2020 to January 2021 were gathered prospectively. The least absolute shrinkage and selection operator (LASSO) regression, along with multivariate logistic regression analysis, was employed to establish independent risk factors. A nomogram prediction model was devised based on these factors. The nomogram's effectiveness was evaluated and verified via the receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA).

RESULTS

A total of 640 patients who underwent spinal surgery were analyzed in this investigation, among which 393 patients experienced PSD with an incidence rate of 61.4%. After conducting LASSO regression and logistic regression analyses using R software on the variables in training set, 8 independent risk factors associated to PSD were identified, including female, preoperative sleep disorder, high preoperative anxiety score, high intraoperative bleeding volume, high postoperative pain score, dissatisfaction with ward sleep environment, non-use of dexmedetomidine and non-use of erector spinae plane block (ESPB). The nomogram and online dynamic nomogram were constructed after incorporating these variables. In the training and validation sets, the area under the curve (AUC) in the receiver operating characteristic (ROC) curves were 0.806 (0.768-0.844) and 0.755 (0.667-0.844), respectively. The calibration plots indicated that the mean absolute error (MAE) values in both sets were respectively 1.2% and 1.7%. The decision curve analysis demonstrated the model had a substantial net benefit within the range of threshold probabilities between 20% and 90%.

CONCLUSIONS

The nomogram model proposed in this study included eight frequently observed clinical factors and exhibited favorable accuracy and calibration.

TRIAL REGISTRATION

The study was retrospectively registered with the Chinese Clinical Trial Registry (ChiCTR2200061257, 18/06/2022).

Impact of Sleep Disturbance on Clinical Outcomes in Lumbar Decompression

OBJECTIVE

To examine the impact of Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance (PROMIS-SD) on clinical outcomes in patients undergoing lumbar decompression.

METHODS

Patients undergoing lumbar decompression with preoperative PROMIS-SD scores were retrospectively included. Patients were separated into 2 cohorts: none to slight sleep disturbance (PROMIS-SD <55) and mild to severe sleep disturbance (PROMIS-SD ≥55). Patient-reported outcome measures including PROMIS Physical Function, PROMIS Anxiety, PROMIS Pain Interference, PROMIS SD, 9-item Patient Health Questionnaire, visual analog scale back/leg, and Oswestry Disability Index were collected preoperatively and up to 1 year postoperatively.

RESULTS

Of 87 patients identified, 48 patients had PROMIS-SD scores ≥55. Regardless of preoperative PROMIS-SD score, patients reported significant improvement in physical function, anxiety, pain interference, depression, pain, and disability outcomes in at least 1 time point. Patients in the PROMIS-SD ≥55 cohort reported postoperative improvement in sleep disturbance. Patients in the PROMIS-SD <55 cohort reported superior preoperative patient-reported outcome measures in all domains and superior postoperative improvement in pain interference and sleep disturbance. Minimum clinically important difference attainment rates were higher in the PROMIS-SD ≥55 cohort in physical function, anxiety, pain interference, sleep disturbance, and pain.

CONCLUSIONS

Patients undergoing lumbar decompression demonstrated significant postoperative improvement in most clinical outcomes regardless of preoperative sleep disturbance. Patients with mild to severe sleep disturbance had higher minimum clinically important difference attainment rates for physical function, mental function, and pain. Patients undergoing lumbar decompression with greater preoperative sleep disturbance may experience more clinically noticeable improvement.