Scholarlink

Objective <p>To assess sleep quality of glaucoma patients using cardiopulmonary coupled CPC monitoring.</p> Methods <p>276 patients from July 2021 to May 2022 were continuously collected. 176 patients including 95 patients with acute angle-closure glaucoma (group A) and 81 patients with chronic angle-closure glaucoma (group B) were enrolled, 100 cataract patients (group C) as the control group. The CPC monitoring was performed on the enrolled patients. According to diseases types and CPC results, the sleep quality of the glaucoma patients was analyzed.</p> Results <p>The total sleep time (TST) of group A was 6.91 ± 1.471&#xa0;h, while Group B's TST was 7.14 ± 0.637&#xa0;h. Group C's TST was 7.45 ± 0.852&#xa0;h. The sleep efficiency (TIB) of group A was 80.128 ± 10.959, and group B's TIB was 80.246 ± 9.936. Group C's TIB was 85.451 ± 6.534. The Apnea–Hypopnea Index (AHI) of group A was 17.923 ± 19.901, and group B's AHI was 15.438 ± 15.818. Group C's AHI was 9.481 ± 10.494. The difference between the group A and group B was statistically significant, and the differences among the group A, B and the group C was statistically significant in the three sets of data.</p> Conclusions <p>PACG patients, especially with acute presentation (PAACG), demonstrate significantly disrupted sleep and higher AHI versus controls via CPC monitoring. These findings advocate for embedding sleep-disordered breathing screening into routine glaucoma management using CPC as a practical triage tool.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Application of cardiopulmonary coupled sleep monitoring technology in sleep analysis of glaucoma patients

  • 期刊论文

  • 发表日期：

    2025年7月22日

查看全文
  • Cuijuan Liu,
  • Jing Ma,
  • Pengfen Wang,
  • Wei Liu,
  • Miaomiao Zhang

摘要

Objective

To assess sleep quality of glaucoma patients using cardiopulmonary coupled CPC monitoring.

Methods

276 patients from July 2021 to May 2022 were continuously collected. 176 patients including 95 patients with acute angle-closure glaucoma (group A) and 81 patients with chronic angle-closure glaucoma (group B) were enrolled, 100 cataract patients (group C) as the control group. The CPC monitoring was performed on the enrolled patients. According to diseases types and CPC results, the sleep quality of the glaucoma patients was analyzed.

Results

The total sleep time (TST) of group A was 6.91 ± 1.471 h, while Group B's TST was 7.14 ± 0.637 h. Group C's TST was 7.45 ± 0.852 h. The sleep efficiency (TIB) of group A was 80.128 ± 10.959, and group B's TIB was 80.246 ± 9.936. Group C's TIB was 85.451 ± 6.534. The Apnea–Hypopnea Index (AHI) of group A was 17.923 ± 19.901, and group B's AHI was 15.438 ± 15.818. Group C's AHI was 9.481 ± 10.494. The difference between the group A and group B was statistically significant, and the differences among the group A, B and the group C was statistically significant in the three sets of data.

Conclusions

PACG patients, especially with acute presentation (PAACG), demonstrate significantly disrupted sleep and higher AHI versus controls via CPC monitoring. These findings advocate for embedding sleep-disordered breathing screening into routine glaucoma management using CPC as a practical triage tool.