Altered Sleep Pattern in Patients of Acute Myocardial Infarction at Cardiology Ward of Liaquat University of Medical & Health Sciences
Keywords:
Altered sleep pattern, Acute myocardial infarctionAbstract
Objective: To determine the frequency of altered sleep patterns among patients with acute myocardial infarction admitted to the cardiology ward of Liaquat University of Medical & Health Sciences.
Methodology: This prospective observational study was conducted in the Department of Cardiology, Liaquat University Hospital (LUMHS), from September 2023 to March 2024. Patients of both genders, aged 20–65 years, presenting with acute myocardial infarction were included. Sleep patterns were assessed using both open- and close-ended questions, and any deviation from the normal sleep pattern was considered abnormal. Associations between altered sleep patterns and baseline as well as clinical parameters were evaluated, with a p-value < 0.05 considered statistically significant.
Results: The overall mean age of the patients was 54.04 ± 8.82 years. Male patients constituted a higher proportion compared with females (62.82% vs. 37.28%). The overall frequency of altered sleep patterns among patients admitted with acute myocardial infarction was 40.69%. A higher prevalence of altered sleep patterns was observed among males, married individuals, urban residents, housewives, patients belonging to the middle socioeconomic class, those with normal body mass index, non-smokers, patients presenting with typical chest pain, and those diagnosed with non–ST-elevation myocardial infarction (NSTEMI); however, these associations were not statistically significant (p > 0.05). Depression was the only variable that showed a statistically significant association with altered sleep patterns among patients with acute myocardial infarction (p = 0.04).
Conclusion: The prevalence of altered sleep patterns was notably high among patients admitted with acute myocardial infarction. However, depression was the only factor significantly associated with sleep deviation in this population.
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Copyright (c) 2026 Shahim Ali Bhurgri, Shahbaz Ali Shaikh, Jaweria Amjad, Faraz Farooq Memon, Shahid Hussain Memon, Shadab Sahato

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