Abstract

This study aimed to analyze the related factors and remote diagnosis of sleep disorders in patients with uremia and to provide the basis for clinical intervention measures. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of 100 patients with uremia. The experimental results show that among 100 patients with uremia, 83 patients (83%) were complicated with sleep disorder, and the average PSQI score was (10.73 ± 1.36). The PSQI score was significantly higher in the elderly, patients with long duration of dialysis, patients with elevated CRP, patients with substandard anemia, and patients with substandard calcium and phosphorus, with statistical significance (P < 0.05). The sleep quality of patients with uremia is correlated with depression, age, and penetration age. The worse the sleep quality is, the more severe the depression is. It proved that the sleep quality of dialysis patients is an important factor. Conclusion. Sleep disorder is a common complication in patients with uremia. Age, anemia, calcium and phosphorus abnormality, permeation age, and inflammatory status are important factors affecting sleep quality in dialysis patients.

Highlights

  • Equipment fault diagnosis technology began in the early 1960s; after nearly 20 years of unremitting efforts, some new technologies have been continuously introduced into the field of fault diagnosis, and the fault diagnosis technology is constantly enriched and improved [1]

  • Sleep disorder is a common phenomenon in patients with chronic kidney disease, especially in patients with chronic kidney disease stage 5 maintenance dialysis, with an incidence of 80% [6]. e decline of sleep quality directly leads to the decline of patients’ quality of life, with the increasing number of patients with chronic kidney disease caused by diabetes and hypertension, and the increasing number of patients with maintenance hemodialysis, with the improvement of people’s demand for quality of life, and sleep disorder has become an urgent problem for patients with chronic kidney disease [7]

  • Sleep disorder is the common cause of patients with maintenance hemodialysis

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Summary

Introduction

Equipment fault diagnosis technology began in the early 1960s; after nearly 20 years of unremitting efforts, some new technologies (such as information theory, cybernetics, and computer and artificial intelligence) have been continuously introduced into the field of fault diagnosis, and the fault diagnosis technology is constantly enriched and improved [1]. Many enterprises in metallurgy, petrochemical, electric power, and other fields have adopted the equipment remote online monitoring system and achieved remarkable results [4]. Sleep disorder is a common phenomenon in patients with chronic kidney disease, especially in patients with chronic kidney disease stage 5 maintenance dialysis, with an incidence of 80% [6]. E decline of sleep quality directly leads to the decline of patients’ quality of life, with the increasing number of patients with chronic kidney disease caused by diabetes and hypertension, and the increasing number of patients with maintenance hemodialysis, with the improvement of people’s demand for quality of life, and sleep disorder has become an urgent problem for patients with chronic kidney disease [7] Sleep disorder is a common phenomenon in patients with chronic kidney disease, especially in patients with chronic kidney disease stage 5 maintenance dialysis, with an incidence of 80% [6]. e decline of sleep quality directly leads to the decline of patients’ quality of life, with the increasing number of patients with chronic kidney disease caused by diabetes and hypertension, and the increasing number of patients with maintenance hemodialysis, with the improvement of people’s demand for quality of life, and sleep disorder has become an urgent problem for patients with chronic kidney disease [7]

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