Night-time care routine interaction and sleep disruption in adult cardiac surgery

Feasibility and Acceptability of Using Wireless Limited Polysomnography to Capture Sleep Before, During, and After Hospitalization for Patients With Planned Cardiothoracic Surgery

BACKGROUND

Sleep disruption, a common symptom among patients requiring cardiovascular surgery, is a potential risk factor for the development of postoperative delirium. Postoperative delirium is a disorder of acute disturbances in cognition associated with prolonged hospitalization, cognitive decline, and mortality.

OBJECTIVE

The aim of this study was to evaluate the feasibility and acceptability of using polysomnography (PSG) to capture sleep in patients with scheduled cardiothoracic surgery.

METHODS

Wireless limited PSG assessed sleep at baseline (presurgery at home), postoperatively in the intensive care unit, and at home post hospital discharge. Primary outcomes were quality and completeness of PSG signals, and acceptability by participants and nursing staff.

RESULTS

Among 15 patients, PSG data were of high quality, and mean percentage of unscorable data was 5.5% ± 11.1%, 3.7% ± 5.4%, and 3.7% ± 8.4% for baseline, intensive care unit, and posthospitalization measurements, respectively. Nurses and patients found the PSG monitor acceptable.

CONCLUSIONS

Wireless, limited PSG to capture sleep across the surgical continuum was feasible, and data were of high quality. Authors of future studies will evaluate associations of sleep indices and development of postoperative delirium in this high-risk population.

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).

Sleep in hospitalized pediatric and adult patients - A systematic review and meta-analysis

Background

Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing.

Objective

The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors.

Methods

A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep' and 'hospitalization'. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines.

Results

Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6-1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep.

Conclusion

Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7-3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3-3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery.

Sleep assessment in critically ill adults: A systematic review and meta-analysis

PURPOSE

To systematically review sleep evaluation, characterize sleep disruption, and explore effects of sleepdisruption on outcomes in adult ICU patients.

MATERIALS AND METHODS

We systematically searched databases from May 1969 to June 2021 (PROSPERO protocol number: CRD42020175581). Prospective and retrospective studies were included studying sleep in critically ill adults, excluding patients with sleep or psychiatric disorders. Meta-regression methods were applied when feasible.

RESULTS

132 studies (8797 patients) were included. Fifteen sleep assessment methods were identified, with only two validated. Patients had significant sleep disruption, with low sleep time, and low proportion of restorative rapid eye movement (REM). Sedation was associated with higher sleep efficiency and sleep time. Surgical versus medical patients had lower sleep quality. Patients on ventilation had a higher amount of light sleep. Meta-regression only suggested an association between total sleep time and occurrence of delirium (p < 0.001, 15 studies, 519 patients). Scarce data precluded further analyses. Sleep characterized with polysomnography (PSG) correlated well with actigraphy and Richards Campbell Sleep Questionnaire (RCSQ).

CONCLUSIONS

Sleep in critically ill patients is severely disturbed, and actigraphy and RCSQ seem reliable alternatives to PSG. Future studies should evaluate impact of sleep disruption on outcomes.

Sleep improvement intervention and its effect on patients' sleep on the ward

AIM AND OBJECTIVE

The aim of the study was to investigate how the sleep improvement interventions developed for the wards were associated with patients' sleep. The objective was to promote patients' sleep.

BACKGROUND

The quality of sleep is vital for patients' health and recovery from illness. However, patients generally sleep poorly during hospitalisation. Sleep-disturbing factors are connected to the hospital environment, patients' physical illness, emotional state and the activities of the staff. Many sleep-disturbing factors can be influenced by appropriate nursing interventions.

DESIGN

A two-group intervention study including the development of nursing interventions aimed at supporting patients' sleep. One group received a sleep promotion intervention and the other received standard care. Both groups evaluated their sleep in the morning.

METHODS

A survey of participants' sleep evaluations was collected with the five-item Richards-Campbell Sleep Questionnaire. The data were analysed statistically. The STROBE checklist was used to report the study.

RESULTS

From the participants' perspective, sleep was better in the intervention group, even though statistically significantly only among men. The pain intensity correlated with sleep quality. The number of patients in the room or whether participants had had an operation had no effect on their sleep evaluations.

CONCLUSIONS

Interventions targeted at supporting and promoting the sleep quality of hospital inpatients may be effective. They should be developed in collaboration with patients and nurses. Several nursing interventions can be proposed to promote better sleep among patients; however, more research is needed to confirm the results. Sleep promotion should include both standardised protocols and individualised sleep support.

RELEVANCE TO CLINICAL PRACTICE

Investing in nursing interventions to promote patients' sleep is important. Patients' individual sleep-related needs should be part of their care plan. Training programmes that support nurses' knowledge and skills of patients' sleep promotion should be part of nursing education in healthcare organisations.

The effect of foot reflexology massage on delirium and sleep quality following cardiac surgery: A randomized clinical trial

BACKGROUND

Delirium is the most common neurologic disorder after cardiac surgery and affects both short and long-term outcomes. This study was conducted to evaluate the effect of foot reflexology massage on the incidence of delirium and sleep quality in patients undergoing cardiac surgery.

METHODS

In this randomized clinical trial, 60 patients who were candidates for CABG surgery were randomly assigned into two equal groups (n = 30); intervention and control groups. In the intervention group, foot reflexology massage was done on each foot for 15 min, for two consecutive days. Delirium observation screening scale, the Richard Campbell sleep questionnaire (RSCQ), and pain intensity using VAS were compared.

RESULTS

in the second postoperative day, delirium was observed in 8 (26.7 %) and 7 (23.3 %) of patients in the intervention and control groups, respectively (p > 0.05). The measured odds ratio for the effect of massage on delirium is 0.83 (95 %CI 0.71-2.69, p = 0.76). The difference in RSCQ scores was not significant between groups of intervention and control (68.32 ± 10.41 VS. 62.80 ± 11.86, P = 0.06). The pain intensity was lower in the intervention group (P < 0.001).

CONCLUSION

Foot reflexology was not effective in reducing delirium and improving the sleep quality, but the pain intensity was decreased. It seems that the precise pathology and predicting model of delirium should be identified, and appropriate interventions should be planned accordingly.

A Systematic Review of Risk Factors for Sleep Disruption in Critically Ill Adults

OBJECTIVES

Numerous risk factors for sleep disruption in critically ill adults have been described. We performed a systematic review of all risk factors associated with sleep disruption in the ICU setting.

DATA SOURCES

PubMed, EMBASE, CINAHL, Web of Science, Cochrane Central Register for Controlled Trials, and Cochrane Database of Systematic Reviews.

STUDY SELECTION

English-language studies of any design published between 1990 and April 2018 that evaluated sleep in greater than or equal to 10 critically ill adults (> 18 yr old) and investigated greater than or equal to 1 potential risk factor for sleep disruption during ICU stay. We assessed study quality using Newcastle-Ottawa Scale or Cochrane Risk of Bias tool.

DATA EXTRACTION

We abstracted all data independently and in duplicate. Potential ICU sleep disruption risk factors were categorized into three categories based on how data were reported: 1) patient-reported reasons for sleep disruption, 2) patient-reported ratings of potential factors affecting sleep quality, and 3) studies reporting a statistical or temporal association between potential risk factors and disrupted sleep.

DATA SYNTHESIS

Of 5,148 citations, we included 62 studies. Pain, discomfort, anxiety/fear, noise, light, and ICU care-related activities are the most common and widely studied patient-reported factors causing sleep disruption. Patients rated noise and light as the most sleep-disruptive factors. Higher number of comorbidities, poor home sleep quality, home sleep aid use, and delirium were factors associated with sleep disruption identified in available studies.

CONCLUSIONS

This systematic review summarizes all premorbid, illness-related, and ICU-related factors associated with sleep disruption in the ICU. These findings will inform sleep promotion efforts in the ICU and guide further research in this field.

Nursing care factors influencing patients' outcomes in the intensive care unit: Findings from a rapid review

Aims

To examine the nursing care factors investigated regarding their influence on outcomes of critically ill patients.

Background

A large number of studies have considered patients' outcomes as sensitive to nursing practice in intensive care unit environments. However, no summary of nursing factors influencing these outcomes has been provided.

Design

Rapid review, following the seven‐stage process outlined by Tricco and colleagues.

Data Sources

Articles published up to March 2020 were identified in MEDLINE (via PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Scopus databases.

Review Methods

Eligibility of studies was first assessed at the title and abstracts level. Study inclusion was then established by two researchers by analysing the full texts.

Results

A total of 93 studies were included, with a total of 21 nursing care factors documented. At the structural level, nursing factors have been investigated at the organizational and at the personnel level. At the process level, nurse‐led programmes, independent nursing interventions and nurse behaviours have been investigated to date.

Conclusion

The set of nursing factors that emerged can be used in future research to improve poorly developed areas and to accumulate further evidence through additional studies, both at managerial and practice levels.

What is already known about this topic?

Thirty‐five nursing‐sensitive outcomes capable of being used to measure the quality of care in the intensive care unit have been identified to date.

Several nursing care factors in structural and process dimensions have been documented as having an influence on the outcomes of critically ill patients.

What this paper adds:

Many interventions have been assessed in relation to nursing outcomes, more often at the process than at structural levels.

Specifically, a total of 21 nursing factors have been studied to date in the context of intensive care units, divided into structure (organizational and personnel) and process (nurse‐led programmes, independent nursing interventions and behaviours) dimensions.

The implications of this paper

The set of nursing factors that emerged can be considered as a basis for further research, especially regarding poorly developed areas.

Emergent nursing care factors can be used as a blueprint to design and develop educational programmes both at under‐ and postgraduate levels.

At the managerial levels, both structure and process dimensions of nursing care are capable of affecting outcomes and could be used to inform decision‐making.

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.

Symptoms of anxiety and depression in surgical patients at the hospital, 6 weeks and 6 months postsurgery: A questionnaire study

Aims

To describe prevalence of symptoms of anxiety and depression in surgical patients at three time points: at hospital postsurgery (T1), 6 weeks (T2) and 6 months (T3) postdischarge from hospital; and detect situations and experiences that predict symptoms of anxiety and depression at T2 and T3.

Design

Prospective, explorative two-site follow-up study.

Methods

Patients having selected surgeries from January-July 2016 were invited to participate. Final participation was 390 patients. Participation involved answering questionnaires, including the Hospital Anxiety and Depression Scale (HADS). A stepwise multiple linear regression model was employed to calculate predictors of anxiety and depression.

Results

The proportion of patients presenting with moderate-to-severe anxiety or depression ranged from 5.4%-20.2% at different times. Major predictors of anxiety at both times were not feeling rested upon awakening and higher scores on HADS-Anxiety at T1 and T2 and at T2 also experiencing more distressing postoperative symptoms. For depression, the major predictors were at both times higher scores on HADS-Depression at T2 and T3 and also at T2 not feeling rested upon awakening and at T3 reporting delayed or very delayed recovery.The four models explained from 43.9%-55.6% of the variance in symptoms of anxiety and depression. Our findings show that patients presenting with psychological distress at the hospital are in a vulnerable position. Also, that benefits of good sleep during the recovery should be emphasized during hospital stay.

Sleep-disrupting effects of nocturnal nursing interventions in intensive care unit patients: A systematic review

Patients staying in the intensive care unit (ICU) require constant monitoring and numerous nursing interventions performed as needed, irrespective of daytime or night-time. The disturbing effect of nocturnal nursing interventions and their contribution to sleep disruptions are unclear. The review analysed nocturnal nursing interventions, and their character, frequency and effects on sleep quality. The databases CINAHL, PubMed and Scopus were searched to identify and subsequently evaluate 19 studies (1,531 patients) meeting the algorithm used. Although nocturnal nursing interventions provided to ICU patients were frequent and varied, they were responsible for only a minority of observed sleep disruptions. The most frequent nocturnal intervention was Vital signs monitoring (Nursing Interventions Classification, 6,680). Implementation of sleep protocols, of which an integral part is clustering and planning of nocturnal interventions, appears to be effective. The review suggests that nursing interventions are not the main cause of sleep disruptions in the ICU. In an effort to improve the quality of sleep in ICU patients, other factors causing disturbance need to be addressed as well. The current trend is more careful planning of nursing care, clustering of interventions and minimizing nocturnal disruptions to allow patients at least one uninterrupted sleep cycle (90 min).

What nursing sensitive outcomes have been studied to-date among patients cared for in intensive care units? Findings from a scoping review

BACKGROUND

Although many studies have considered mortality and adverse effects as outcomes sensitive to nursing practice, it seems that other outcomes of nursing care in intensive care units have been explored less commonly.

OBJECTIVES

To describe the state-of-science in research in the field of nursing sensitive outcomes in intensive care units and to synthesize outcomes that have been documented to date as being influenced by nursing care.

DESIGN

A scoping review study based on the framework proposed by Arksey and O'Malley, further refined by the Levac and Joanna Briggs Institute was performed in 2019.

DATA SOURCES

The Medline, Cumulative Index to Nursing and Allied Health Literature, Web of Science, Scopus, and Google Scholar electronic databases were searched. In addition, the reference list of included articles was screened.

REVIEW METHODS

Two researchers independently identified publications on the basis of the following criteria: (a) articles that reported nursing sensitive outcomes on critically-ill adult patients admitted to the intensive care unit, (b) as primary and secondary studies, (c) written in English, and (d) without any time frame limitation.

RESULTS

Of the 4,231 records, 112 fully met the inclusion criteria and were included. Publications were mainly authored in the US and Canada (n = 44, 39.2%), and the majority (n = 62, 55.3%) had an observational design. A total of 233 nursing sensitive outcomes emerged, categorized in 35 outcomes, with, on average, two per study included. The most often measured outcomes were pressure ulcers (20 studies) and ventilator-associated pneumonias (19 studies); the less studied outcomes were quality of life, secretion clearance, patient-ventilator dysynchrony, and post-extubation dysphagia. When categorizing outcomes, the ones concerning safety (n = 77, 33.1%) were represented the most, followed by those concerning the clinical (n = 72, 30.9%), functional (n = 70, 30.0%), and perceptual (n = 14, 6.0%) domains. The interdependent outcomes linked to multi-professional interventions (e.g., ventilator-associated pneumonias) were the most frequently studied nursing sensitive outcomes (n = 20, 57.1%), while independent outcomes resulting from autonomous interventions performed by nurses were less often studied (n = 8, 22.9%).

CONCLUSIONS

From a clinical point of view, a large heterogeneity of outcomes influenced by nursing care emerged. However, identified outcomes have been studied with different approaches and metrics, so that future efforts will need to establish homogeneous conceptual and operative definitions. Moreover, increasing efforts in establishing perceptual outcomes, or those close to the fundamentals of nursing care, are suggested in order to better depict the contribution of critical care nurses in the field.