{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T05:10:42Z","timestamp":1788844242310,"version":"build-2803163510"},"reference-count":42,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:00:00Z","timestamp":1788825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shaoxing People\u2019s Hospital"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Post-stroke depression (PSD) affects approximately one-third of stroke survivors and significantly impacts functional recovery. This study aimed to develop and validate a prediction model for PSD using polysomnography (PSG) parameters combined with clinical characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a prospective cohort study enrolling 437 acute ischemic stroke patients who underwent PSG assessment within 7\u202fdays of stroke onset between January 2022 and December 2024. The primary outcome was PSD at 3-month follow-up, defined as Patient Health Questionnaire-9 (PHQ-9) score \u226510. Multivariate logistic regression identified independent predictors, and machine learning algorithms were compared for model performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 390 patients completing follow-up, 139 (35.6%) developed PSD. Independent predictors included sleep latency (OR\u202f=\u202f2.14, 95% CI: 1.68\u20132.73), arousal index (OR\u202f=\u202f2.13, 95% CI: 1.65\u20132.94), sleep efficiency (OR\u202f=\u202f0.74, 95% CI: 0.55\u20130.96), heart rate variability RMSSD (OR\u202f=\u202f0.77, 95% CI: 0.61\u20130.96), NIHSS score (OR\u202f=\u202f1.35, 95% CI: 1.04\u20131.76), and prior stroke history (OR\u202f=\u202f1.35, 95% CI: 1.09\u20131.71). The gradient boosting model achieved the highest discriminative performance (AUC\u202f=\u202f0.763; bootstrap-validated AUC\u202f=\u202f0.738, 95% CI: 0.682\u20130.794). Risk stratification demonstrated a five-fold gradient in PSD rates across probability categories (14.3 to 70.3%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>PSG parameters, particularly sleep efficiency, sleep latency, and arousal index, are significant independent predictors of PSD. Integrating objective sleep assessment into early stroke management may facilitate identification of high-risk patients for targeted preventive interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnins.2026.1926299","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T04:26:57Z","timestamp":1788841617000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Early prediction of post-stroke depression using polysomnography parameters: a prospective cohort study"],"prefix":"10.3389","volume":"20","author":[{"given":"Lan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Child Psychiatry, Shaoxing Seventh People\u2019s Hospital, Affiliated Mental Health Center, Shaoxing University","place":["Shaoxing, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Child Psychiatry, Shaoxing Seventh People\u2019s Hospital, Affiliated Mental Health Center, Shaoxing University","place":["Shaoxing, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Kuang","sequence":"additional","affiliation":[{"name":"Department of Child Psychiatry, Shaoxing Seventh People\u2019s Hospital, Affiliated Mental Health Center, Shaoxing University","place":["Shaoxing, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Neurology, Shaoxing People\u2019s Hospital, The First Affiliated Hospital, Shaoxing University","place":["Shaoxing, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,8]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1161\/01.STR.24.1.35","article-title":"Classification of subtype of acute ischemic stroke. 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