Letter to the Editor Regarding “Predictive Value of Neutrophil-to-Lymphocyte Ratio for Cerebral Infarction in Obstructive Sleep Apnea: A Nomogram-Based Analysis” [Response to Letter]

Ziwei Hou,1 Chen Chen,2 Hong Liu,2 Yunpeng Wang,3 Zongxuan Li1 1Academy of Medical Sciences, Shanxi Medical University, Taiyuan, People’s Republic of China; 2Neurology Department, The Affiliated Cardiovascular Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 3Clinical Discipline Construction Center, Shanxi Medical University, Taiyuan, People’s Republic of ChinaCorrespondence: Chen Chen, Neurology Department, The Affiliated Cardiovascular Hospital of Shanxi Medical University, 18 Yifen Street, Taiyuan, 030024, People’s Republic of China, Email [email protected]

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
Primary Topic
Genomics and Rare Diseases
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article
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article

Letter to the Editor Regarding “Predictive Value of Neutrophil-to-Lymphocyte Ratio for Cerebral Infarction in Obstructive Sleep Apnea: A Nomogram-Based Analysis” [Response to Letter]

SHILAP Revista de lepidopterología
Genomics and Rare Diseases
article

Letter to the Editor Regarding “Predictive Value of Neutrophil-to-Lymphocyte Ratio for Cerebral Infarction in Obstructive Sleep Apnea: A Nomogram-Based Analysis” [Response to Letter]

article en

Abstract

Ziwei Hou,1 Chen Chen,2 Hong Liu,2 Yunpeng Wang,3 Zongxuan Li1 1Academy of Medical Sciences, Shanxi Medical University, Taiyuan, People’s Republic of China; 2Neurology Department, The Affiliated Cardiovascular Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 3Clinical Discipline Construction Center, Shanxi Medical University, Taiyuan, People’s Republic of ChinaCorrespondence: Chen Chen, Neurology Department, The Affiliated Cardiovascular Hospital of Shanxi Medical University, 18 Yifen Street, Taiyuan, 030024, People’s Republic of China, Email [email protected]

SHILAP Revista de lepidopterología
Neurology, Inc (US)
Openalex Percentile: Top 34%
Genomics and Rare Diseases
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