Angina severity predicts worse sleep quality after coronary artery bypass grafting

Intraoperative dexmedetomidine on postoperative sleep disturbance in older patients undergoing major abdominal surgery: A randomized controlled trial protocol

Background

Postoperative sleep disturbance (PSD) occurs frequently in patients who undergo major abdominal surgical procedures. Dexmedetomidine is a promising agent to improve the quality of sleep for surgical patients. We designed this trial to investigate the effects of two different doses of intraoperative dexmedetomidine on the occurrence of PSD in elderly patients who have major abdominal surgery.

Methods

In this randomized, double-blind, controlled trial, 210 elderly patients aged ≥65 years will be randomized, with an allocation ratio of 1:1:1, to two dexmedetomidine groups (intraoperative infusion of 0.3 or 0.6 μg/kg/h) and a normal saline placebo group. The primary endpoint is the occurrence of PSD on the first night after surgery, assessed using the Athens Insomnia Scale. The secondary endpoints are (1) the incidence of PSD during the 2nd, 3rd, 5th, 7th, and 30th nights postoperatively; (2) pain at rest and on movement at 24 and 48 h postoperatively, assessed using the Numerical Rating Scale; (3) the incidence of postoperative delirium during 0-7 days postoperatively or until hospital discharge, assessed using the 3-min Confusion Assessment Method; (4) depressive symptoms during 0-7 days postoperatively or until hospital discharge, assessed using the 15-items Geriatric Depression Scale; and (5) quality of recovery on postoperative days 1, 2, and 3, assessed using the 15-items Quality of Recovery Scale. Patients' sleep data will also be collected by Xiaomi Mi Band 7 for further analysis.

Discussion

The findings of this trial will provide clinical evidence for improving the quality of sleep among elderly patients undergoing major abdominal surgery.

Ethics and dissemination

This trial was approved by the Ethics Committee of the First Affiliated Hospital of Soochow University (No. 2023-160). The results will be published in a peer-reviewed journal.

Trial registration

Chinese Clinical Trial Registry (ChiCTR2300073163).

Baseline coronary artery stenosis severity is an independent predictor of subsequent poor sleep quality in patients with acute coronary syndrome

AIM

To investigate the relationship between coronary artery lesion severity determined using the baseline SYNTAX score and sleep problems that might occur after discharge determined using the Pittsburgh Sleep Quality Index (PSQI).

METHODS

This prospective study included patients with first acute coronary syndrome (ACS) who underwent percutaneous coronary angiography between February 2019 and August 2019. The severity of coronary artery stenosis was classified according to coronary angiography and SYNTAX scores. Patients were grouped as those with a SYNTAX score of ≤22 and >22. Sleep quality after discharge was classified according to the PSQI. PSQI ≤5 represented good sleep quality, and PSQI >5 represented poor sleep quality. Univariate and multivariate logistic regression was used to investigate the relationship between sleep quality and coronary artery stenosis severity.

RESULTS

A total of 424 patients were included in the study. Of these, 294 (69.34%) had a SYNTAX score of ≤22 and 130 (30.66%) had a SYNTAX score of >22. The mean age of all patients was 60.37 ± 12.23 years, 59.69 ± 11.85 years in the SYNTAX ≤22 groups and 61.90 ± 12.98 years in the SYNTAX >22 group (P = 0.086). The majority (78.54%) of the patients were male and there was no significant difference between the SYNTAX ≤22 group and the SYNTAX >22 group in terms of sex distribution (P = 0.383). According to the univariate logistic regression analysis, age (P = 0.014), diabetes (P = 0.027), left ventricular ejection fraction (P = 0.001), estimated glomerular filtration rate (P = 0.039), creatine kinase MB (P = 0.040) and SYNTAX scores (P < 0.001) were significantly associated with high PSQI global scores (>5). However, according to the multivariate logistic regression analysis results, high (>22) SYNTAX scores were the only factor independently associated with the high (>5) PSQI global scores [odds ratio, 3.477; 95% confidence interval (CI), (2.190-5.522); P < 0.001]. Complete revascularization group had significantly higher sleep latency and sleep duration time, sleep efficiency and the percentage of patients with PSQI global score of ≤5 than the incomplete revascularization group (P < 0.001 for all).

CONCLUSION

Among patients with ACS, those with high SYNTAX scores should be monitored more carefully for sleep disorders that may occur later.

Factors associated with sleep quality in patients undergoing cardiac surgery: A longitudinal study

BACKGROUND

Poor sleep quality is associated with multiple factors in cardiac surgery patients.

AIM

To examine the trajectory of sleep quality and its associated factors over 3 months in Taiwanese patients undergoing cardiac surgery.

STUDY DESIGN

A longitudinal study. This study enrolled 95 patients undergoing cardiac surgery in northern Taiwan. Sleep quality was measured using the Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale before surgery, at discharge, and at 1 month and 3 months postsurgery.

RESULTS

The majority of participants reported poor sleep quality before cardiac surgery (76.8%) and at discharge (81.6%), and they showed significant improvements in sleep quality at 1 month (B = -0.93, p = .023) and 3 months postsurgery (B = -1.50, p < .001). Significant daytime sleepiness was reported by 25.3% of patients before cardiac surgery, and this proportion significantly decreased at 3 months postsurgery (B = -2.59, p < .001). The significant predictors of sleep quality in cardiac surgery patients were symptom distress, sleep medications, occupation, left ventricular ejection fraction, ACE-I drugs and potassium ions, which explained 53.7% of the total variance in sleep quality. Having a nap habit was an independent predictor of daytime sleepiness in cardiac surgery patients, which could explain 3.7% of the total variation.

CONCLUSION

Poor sleep quality was common in patients undergoing cardiac surgery and was associated with multiple factors, including symptom distress, cardiac function, medications, and psychosocial and environmental factors.

RELEVANCE TO CLINICAL PRACTICE

Poor sleep quality was observed in cardiac surgical patients before surgery and at discharge postsurgery. Patient education on symptom management, medication adherence and sleep hygiene are suggested to improve sleep quality in patients undergoing cardiac surgery.

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).

Effects of Preoperative Anxiety on Postoperative Outcomes and Sleep Quality in Patients Undergoing Laparoscopic Gynecological Surgery

OBJECTIVE

Preoperative anxiety is a psychological state that commonly occurs before surgery and may have a negative impact on postoperative outcomes. This study aimed to investigate the effects of preoperative anxiety on postoperative sleep quality and recovery outcomes among patients undergoing laparoscopic gynecological surgery.

METHODS

The study was conducted as a prospective cohort study. A total of 330 patients were enrolled and underwent laparoscopic gynecological surgery. After assessing the patient's preoperative anxiety score on the APAIS scale, 100 patients were classified into the preoperative anxiety (PA) group (preoperative anxiety score > 10) and 230 patients into the non-preoperative-anxiety (NPA) group (preoperative anxiety score ≤ 10). The Athens Insomnia Scale (AIS) was assessed on the night before surgery (Sleep Pre 1), the first night after surgery (Sleep POD 1), the second night after surgery (Sleep POD2), and the third night after surgery (Sleep POD 3). Postoperative pain was evaluated by the Visual Analog Scale (VAS), and the postoperative recovery outcomes and adverse effects were also recorded.

RESULT

The AIS score in the PA group was higher than that of the NPA group at Sleep-pre 1, Sleep POD 1, Sleep POD 2, and Sleep POD 3 (p < 0.05). The VAS score was higher in the PA group than in the NPA group within 48 h postoperatively (p < 0.05). In the PA group, the total dosage of sufentanil was significantly higher, and more rescue analgesics were required. Patients with preoperative anxiety showed a higher incidence of nausea, vomiting, and dizziness than those without preoperative anxiety. However, there was no significant difference in the satisfaction rate between the two groups.

CONCLUSION

The perioperative sleep quality of patients with preoperative anxiety is worse than that of patients without preoperative anxiety. Moreover, high preoperative anxiety is related to more severe postoperative pain and an increased requirement for analgesia.

Pharmacotherapy for improving postoperative sleep quality: a protocol for a systematic review and network meta-analysis

INTRODUCTION

Improving the quality of sleep may promote enhanced recovery in surgical patients. In addition to controversial or conflicting study conclusions, the current clinical studies on pharmacotherapy for improving postoperative sleep quality are mostly limited to evaluating the effect of a specific drug or supplement compared with placebo, and they lack comparisons between drugs or supplements. Therefore, we plan to conduct a systematic review and network meta-analysis to compare the efficacy of different drugs or supplements for improving postoperative sleep quality.

METHODS AND ANALYSIS

We will search the MEDLINE, Embase, Cochrane Central Register of Controlled Trials, CNKI and Wanfang databases from the dates of their inception to December 2022. We will only include randomised controlled trials, irrespective of language and publication status. The primary outcome is postoperative sleep quality assessed by any validated tools or polysomnography. We will assess the quality of all included trials according to version 2 of the Cochrane risk-of-bias tool for randomised trials. We will use the GeMTC package of R software to perform direct and indirect comparisons via a Bayesian framework using a random-effects model. We will use the Confidence in Network Meta-Analysis approach to evaluate the quality of evidence.

ETHICS AND DISSEMINATION

Ethical approval is not required for this protocol because we will only be pooling published data. We plan to submit our review to academic conferences and peer-reviewed academic journals.

PROSPERO REGISTRATION NUMBER

CRD42022356508.

Effects of Cardiac Rehabilitation on Sleep Quality in Heart Disease Patients with and without Heart Failure

Insomnia is a modifiable cardiovascular risk factor. Previous studies suggested that attending a cardiac rehabilitation program may improve sleep quality in cardiac patients and pointed out the association between heart failure and poor sleep quality. The primary aim of this study was to evaluate sleep quality in patients attending a Multidisciplinary Cardiac Rehabilitation Program (MRCP), and to compare sleep quality between patients with and without heart failure. A prospective observational study was carried out on a consecutive sample of 240 patients attending an 8-week MRCP; 50 patients (20.8%) were included due to heart failure (NYHA stages I-III) and the rest of them after having undergone any revascularization procedure or valvular surgery. Before and after the completion of the MRCP, the quality of sleep was assessed by the Pittsburgh Sleep Quality Index (PSQI) score. Post-intervention global PSQI scores were statistically significantly lower than those of pre-intervention (p = 0.008), but only 60 patients (25%) registered a clinically significant improvement. When comparing patients with heart failure with those without, no differences in sleep quality were found. This suggests that only a small percentage of patients can achieve clinically significant improvements in sleep quality attending conventional MCRP. Suggestions for future research are given.

Sleep Well and Recover Faster with Less Pain-A Narrative Review on Sleep in the Perioperative Period

Sleep disturbance, pain, and having a surgical procedure of some kind are all very likely to occur during the average lifespan. Postoperative pain continues to be a prevalent problem and growing evidence supports the association between pain and sleep disturbances. The bidirectional nature of sleep and pain is widely acknowledged. A decline in sleep quality adds a risk for the onset of pain and also exacerbates existing pain. The risk factors for developing insomnia and experiencing severe pain after surgery are quite similar. The main aim of this narrative review is to discuss why it is important to be aware of sleep disturbances both before and after surgery, to know how sleep disturbances should be assessed and monitored, and to understand how better sleep can be supported by both pharmacological and non-pharmacological interventions.

Incidence and Risk Factors of Postoperative Severe Discomfort After Elective Surgery Under General Anesthesia: A Prospective Observational Study

PURPOSE

Patient comfort is an important concern in patients receiving surgery, but the seriousness of discomfort during recovery is unknown. We investigated the incidence of postoperative discomfort based on the Standardized Endpoints in Perioperative Medicine initiative for patient comfort, and identified the risk factors.

DESIGN

This was a single-center prospective observational study.

METHODS

We enrolled adult patients who underwent elective surgery under general anesthesia between July and December 2018 at West China Hospital of Sichuan University (ChiCTR1800017324). The primary outcome was the incidence of postoperative severe discomfort (PoSD), defined as occurring when a patient experienced a severe rating in two or more domains in the six domains in the Standardized Endpoints in Perioperative Medicine initiative on the same day, including rest pain, postoperative nausea, and vomiting, dissatisfaction of gastrointestinal recovery, dissatisfaction of mobilization, sleep disturbance, and recovery. A generalized estimated equation was constructed to find risk factors of PoSD.

FINDINGS

In total, 440 patients completed the study. The incidence of PoSD was 28% on postoperative day (POD) 1, 13% on POD 2, 9% on POD 3, and 3.6% on both POD 5 and 7. The most common discomfort was serious sleep disturbance, ranging from 43% to 10% in the first week after surgery. Longer operative time (odds ratio [95% confidence interval]: 1.56 [1.19 to 2.05], P = .001), gastrointestinal surgery (5.03[2.08,12.17], P < .001), orthopaedic surgery (3.03 [1.35,6.79], P = .007), ear, nose, and throat (ENT) surgery (3.50 [1.22,10.02], P = .020) and postoperative complications (1.77 [1.03-3.04], P = .038) were significant risk factors of PoSD.

CONCLUSIONS

The incidence of PoSD after elective surgery under general anesthesia is high. Sleep disturbance was the most common problem identified. Anesthesia providers and perianesthesia nurses may need to optimize anesthetic application, combine different anesthesia methods, improve perioperative management, and provide interventions to reduce and to treat discomfort after surgeries.

Diagnostic accuracy and suitability of instruments that screen for obstructive sleep apnoea, insomnia and sleep quality in cardiac patients: a meta-analysis

BACKGROUND

A number of clinical guidelines recommend that all cardiac rehabilitation patients should be screened for potential sleep disorders with a validated screening instrument. There is currently no consensus on what specific tools should be used.

OBJECTIVE

To identify tools that are practical to use in the clinical environment and have high diagnostic accuracy.

METHODS

We systematically searched online databases to identify patient reported outcome instruments that have been used in published research studies to assess the likelihood of obstructive sleep apnoea (OSA) in cardiac patients. In studies that provided diagnostic data, these data were extracted and verified via an evidence-based diagnostic calculator. Where sufficient numbers of studies were available, a meta-analysis was conducted to determine pooled estimates of specificity, sensitivity and diagnostic odds ratios. Selected papers were qualitatively assessed using the Standards for Reporting Diagnostic accuracy studies (STARD).

RESULTS

Of the 21 instruments identified, six detected likelihood of OSA, two assessed daytime sleepiness, five assessed insomnia and eight examined sleep quality. A meta-analysis of 14 studies that assessed diagnostic accuracy of moderate OSA, revealed moderate sensitivity for the Berlin Questionnaire, Sens = 0.49 (95% CI 0.45-0.52) and good sensitivity for the Stop-BANG, Sens = 0.93 (95% CI 0.87-0.96) but poor specificity at standard cut-off criteria.

CONCLUSION

There are promising practical tools available to screen patients with OSA and other sleep disorders in cardiac rehabilitation settings, but specificity could be improved. Additional assessment of sleep quality may enhance prognostic ability with both OSA and insomnia screening.

Effects of Intravenous Anesthetics vs Inhaled Anesthetics on Early Postoperative Sleep Quality and Complications of Patients After Laparoscopic Surgery Under General Anesthesia

OBJECTIVE

Decreased postoperative sleep quality remains a serious problem in surgical settings at present. The purpose of our study was to compare the effect of propofol vs sevoflurane on early postoperative sleep quality and complications of patients receiving laparoscopic surgery after general anesthesia.

METHODS

Seventy-four patients undergoing selective laparoscopic surgery under general anesthesia were randomly assigned to the propofol group or sevoflurane group. The wireless portable sleep monitor (WPSM) is used to collect sleep quality on the night before surgery (sleep preop 1), the first night after surgery (sleep POD 1), and the third night after surgery (sleep POD 3). Record the subjective sleep quality and dreaming state during the operation. The perioperative hemodynamics, postoperative sleep and complications were also evaluated.

RESULTS

Compared with Sleep preop 1, patients showed lower sleep efficiency, Stable sleep and Unstable sleep during Sleep POD 1 and Sleep POD 3. In addition, compared with the propofol group, the proportion of REM sleep in the sevoflurane group was much higher during Sleep POD 1 and Sleep POD 3, and the incidence of dreaming was also higher in the sevoflurane group. Patients in the propofol group had better pain relief at 2, 4, and 6 hours after surgery. And the incidence of postoperative nausea and vomiting and dizziness in the sevoflurane group was significantly higher than that in the propofol group.

CONCLUSION

The degree of postoperative sleep efficiency was better on Sleep POD1 and Sleep POD3; the incidence of postoperative nausea and vomiting, and dizziness was lower; and postoperative pain was slighter when the operation was performed under propofol anesthesia compared with patients in the sevoflurane group. Propofol should be considered a better choice during the operation to promote the patient's postoperative sleep quality, relieve postoperative pain and improve the incidence of postoperative dizziness and nausea and vomiting.

Body image before and after coronary artery bypass graft surgery: comparison and its contributing factors

BACKGROUND

Cardiovascular diseases are the leading cause of death in the world. Coronary artery bypass graft (CABG) surgery is among the treatment options for coronary artery disease. However, it is associated with significant physical and psychological problems. This study sought to compare body image before and after the surgery and to determine its contributing factors.

METHODS

This comparative study was conducted in 2017 on a sample of 140 patients consecutively recruited from Shahid Beheshti hospital, Kashan, Iran. Body image was assessed before and 4 weeks after the surgery (T1 and T2) using Multidimensional Body-Self Relations Questionnaire. The independent-sample and paired t tests, one-way analysis of variance, Pearson correlation test, and multiple regression were conducted for data analysis.

RESULTS

Participants' mean score of body image was 139.60 ± 13.21 at T1 and 160.25 ± 7.75 at T2 and the variation was statistically significant (p = < 0.001). At T1, only the three factors of age (p = 0.005), education at high school diploma and higher levels (p < 0.001), and being housekeeper (P = 0.048) could significantly explain BI (R² = 0.231). However, at T2, none of the factors were significant predictors for BI (P > 0.05).

CONCLUSIONS

Candidates for CABG have poor body image. After the surgery, their body image improves significantly. Healthcare providers need to employ programs to improve body image among these patients.

DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME

ABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.

Qualidade e duração de sono entre usuários da rede pública de saúde

Resumo Objetivo Avaliar a qualidade e tempo de sono entre usuários da rede pública de saúde e fatores associados. Métodos Estudo transversal, realizado com 775 indivíduos de ambos os sexos, em um município da região Centro-Oeste do Brasil. Aplicou-se questionário semiestruturado para avaliar as características sociodemográficas, os hábitos de vida, as condições de saúde, o binge drinking e qualidade e duração do sono, avaliadas pelo Índice de Qualidade de Sono de Pittsburgh. Aplicou-se a regressão de Poisson para identificação dos fatores associados à qualidade do sono ruim e à duração de sono (curta e longa). Resultados Na análise múltipla, os fatores associados à qualidade de sono ruim foram sexo feminino (razão de prevalência: 1,10; intervalo e confiança de 95% − IC95% 1,05-1,16; p<0,00), binge drinking (razão de prevalência: 1,08; IC95% 1,03-1,13; p<0,01), uso de substâncias ilícitas (razão de prevalência: 1.06, IC95% 1.00-1.12; p=0.03), angina (razão de prevalência: 1,10;, IC95% 1,03-1,18; p<0,01) e depressão (razão de prevalência: 1,07 IC95% 1,00-1,14; p=0,02). A obesidade associou-se à curta duração do sono (razão de prevalência: 1,10 IC95% 1,02-1,17; p<0,01). Idade > 55 anos associou-se à longa duração do sono (razão de prevalência: 1,39, IC95% 1,00-1,92; p=0,04). Conclusão Ser mulher, ter idade >55 anos, consumir bebida alcoólica, usar substâncias ilícitas, angina, obesidade e depressão foram fatores de risco para alterações na qualidade e duração de sono. Os resultados do presente estudo reforçam a necessidade do desenvolvimento de ações voltadas para a prevenção dos agravos relacionados às alterações no sono na população estudada.

Conceptual and operational definitions of the defining characteristics of the nursing diagnosis Disturbed Sleep Pattern

Objective

to present the knowledge produced about sleep and Acute Coronary Syndrome in order to assist in the elaboration of the operational and conceptual definitions of the defining characteristics of the nursing diagnosis Disturbed Sleep Pattern (00198).

Method

integrative review in the following databases: COCHRANE; SCOPUS; MEDLINE (Medical Literature Analysis and Retrieval System Online) via Pubmed; LILACS (Latin American and Caribbean Health Science Literature Database); CINAHL (Cumulative Index to Nursing and Allied Health Literature) and EMBASE (The Excerpta Medical Database). At the end of the search, 2827 studies were found, 43 were selected for reading, and 10 were included in the review. The gray literature was also included.

Results

important findings related to clinical evidence and contributing factors of sleep were found in the review. However, in order to build definitions of the defining characteristics, it was necessary to use gray literature, such as a Portuguese dictionary and two textbooks about sleep.

Conclusion

the definitions will help nurses in their practice in the collection of information, in the determination of the nursing diagnosis studied here, and in directing care measures with respect to quantity and quality of sleep of Acute Coronary Syndrome inpatients. They will also assist in the next steps of the validation of this diagnosis to the referred population.

Improve postoperative sleep: what can we do?

Purpose of review

We reviewed evidences regarding occurrence, risk factors, harmful effects, prevention, and management of sleep disturbances in patients after surgery.

Recent findings

Normal sleep is important to maintain physical and mental health. Sleep disturbances frequently occur in patients after surgery. Factors associated with the development of postoperative sleep disturbances include old age, preoperative comorbidity, type of anesthesia, severity of surgical trauma, postoperative pain, environment stress, as well as other factors leading to discomfort of patients. Development of sleep disturbances produces harmful effects on postoperative patients, that is, leading to higher risk of delirium, increased sensitivity to pain, more cardiovascular events, and poorer recovery. Both nonpharmacological and pharmacological measures (such as zolpidem, melatonin, and dexmedetomidine) can be used to improve postoperative sleep. Recent evidences show that sleep promotion may improve patients’ outcome, but requires further evidences.

Summary

Sleep disturbances are common in patients after surgery and produce harmful effects on postoperative recovery. Sleep-promotion therapy may be helpful to improve postoperative recovery, but long-term effects deserve further study.