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OpenTrials
Completed

NCT Number: NCT07755280

Predictors of Sleep Quality in Patients Undergoing Open-Heart Surgery

Sleep quality is a complex and multidimensional phenomenon shaped by the interaction of patient characteristics, symptom burden, and environmental factors specific to the intensive care unit environment. Despite this multidimensional nature, studies identifying predictors of sleep quality in intensive care units after cardiac surgery are limited.

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Key information

Conditions

Sleep Quality Dyssomnias Intensive Care (ICU) Mental Disorders Nervous System Diseases Nursing Care Sleep Disorders, Intrinsic Sleep Initiation and Maintenance Disorders Sleep Wake Disorders

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Aydın Adnan Menderes University

Aydin, Zafer Mahallesi, 09010, Turkey (Türkiye)

About this study

Sleep is a fundamental biological process necessary for maintaining physiological homeostasis, supporting immune function, and promoting healing. Sleep quality is a multidimensional construct influenced by individual characteristics such as age and body mass index, as well as psychological factors like stress and anxiety, and environmental factors such as noise, light, lack of privacy, and care practices. However, patients in intensive care units often experience poor sleep quality, characterized by reduced sleep duration, fragmented sleep, prolonged sleep latency, and frequent awakenings. Poor sleep quality in intensive care units leads to a higher incidence of delirium and atrial fibrillation complications in patients during the postoperative period, delayed recovery time, negative impact on immune function, and prolonged stay in the intensive care unit. Open heart surgery is a frequently performed operation in ischemic and non-ischemic heart diseases (valve diseases, aortic stenosis, and atrial septal defect, etc.) that requires close monitoring of patients in an intensive care environment after surgery. Following these surgeries, physiological issues such as pain, surgical wound problems, fatigue, dyspnea, and sleep problems commonly experienced by patients in intensive care settings, and psychological issues such as anxiety, stress, fear of death negatively affect sleep quality. In addition, individual characteristics such as age and body mass index (BMI) can also affect sleep quality in this patient population. Poor sleep quality in intensive care units is a commonly reported problem by patients, but due to its multifaceted nature, it is often not effectively managed. Although previous studies have reported the prevalence of sleep disorders in intensive care patients, most studies have failed to adopt a comprehensive and multifactorial approach that examines the variables affecting sleep quality individually. This situation highlights the need for studies using multivariate analytical methods to identify independent predictors of sleep quality. The aim of this study is to examine the predictors of sleep quality in patients undergoing open heart surgery and admitted to the cardiovascular surgery intensive care unit, using a multivariate approach.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • ability to understand and speak Turkish,
  • willingness to participate in the study,
  • having spent at least 24 hours in the intensive care unit, and
  • having the cognitive ability to understand and answer questions.

Exclusion criteria

  • having taken narcotic or sedative drugs within the last 48 hours,
  • having a history of chronic diseases that can cause sleep problems such as Chronic Obstructive Pulmonary Disease or sleep apnea,
  • having a psychiatric illness diagnosed by a physician,
  • having a visual or hearing impairment.

Treatment and study plan

Primary outcomes

  1. Pain

    Time frame: At least 24 hours after admission to the intensive care unit

    Assessed wit Visual Analog Scale. his scale is a unidimensional, self-report instrument measuring 10 cm in length. The lower end corresponds to a score of 0, labeled 'no pain,' while the upper end corresponds to a score of 10, labeled 'unbearable pain.' Higher scores on the scale indicate greater severity of pain as reported by the patient.

  2. Sleep quality

    Time frame: At least 24 hours after admission to the intensive care unit

    Assessed with Richard- Campbell Sleep Questionnaire. he scale consists of 6 items assessing sleep quality, nocturnal sleep depth, frequency of awakening, ambient noise level, time spent awake, and sleep onset latency. Each item is rated on a visual analog scale ranging from 0 to 100. The total score obtained from the scale is divided by the number of items to calculate the scale score. A scale score between 0 and 25 is interpreted as very poor sleep, while a score between 76 and 100 is interpreted as very good sleep.

  3. Fatigue

    Time frame: At least 24 hours after admission to the intensive care unit

    Assessed wit Visual Analog Scale. his scale is a unidimensional, self-report instrument measuring 10 cm in length. The lower end corresponds to a score of 0, labeled 'no fatigue,' while the upper end corresponds to a score of 10, labeled 'unbearable fatigue.' Higher scores on the scale indicate greater severity of fatigue as reported by the patient.

  4. Environmental Stressors

    Time frame: At least 24 hours after admission to the intensive care unit

    Assessed with Intensive Care Unit Environmental Stressors Scale. The scale is of a 4-point Likert type and consists of 42 items. The minimum possible score is 42 and the maximum is 168. Higher scores are interpreted as indicating a greater degree of being affected by environmental stressors.

Sponsors and collaborators

Lead sponsor

Aydin Adnan Menderes University

Other

Registry information

Official study title

Predictors of Sleep Quality in Patients Undergoing Open-Heart Surgery: A Hierarchical Regression Analysis

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Aug 10, 2026
Registry last updated
Aug 10, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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