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Triglyceride-glucose index and obstructive sleep apnea: a systematic review and meta-analysis.
Behnoush, Amir Hossein; Khalaji, Amirmohammad; Ghondaghsaz, Elina; Masrour, Mahdi; Shokri Varniab, Zahra; Khalaji, Soheil; Cannavo, Alessandro.
Afiliación
  • Behnoush AH; School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd, Tehran, 1417613151, Iran.
  • Khalaji A; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Ghondaghsaz E; School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd, Tehran, 1417613151, Iran. amirm.khalaji@gmail.com.
  • Masrour M; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. amirm.khalaji@gmail.com.
  • Shokri Varniab Z; Undergraduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada.
  • Khalaji S; School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd, Tehran, 1417613151, Iran.
  • Cannavo A; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Lipids Health Dis ; 23(1): 4, 2024 Jan 08.
Article en En | MEDLINE | ID: mdl-38185682
ABSTRACT

BACKGROUND:

Obstructive sleep apnea (OSA) has a bidirectional association with metabolic syndrome, and insulin resistance (IR). The triglyceride-glucose (TyG) index could be a simply calculated marker of IR in OSA. However, its clinical application appears still limited. Hence, this systematic review and meta-analysis aimed to respond to this question by analyzing all the existing studies showing an association between OSA and the TyG index.

METHODS:

Four online databases, including PubMed, Scopus, the Web of Science, and Embase were searched for studies evaluating the TyG index in OSA. After screening and data extraction, a random-effect meta-analysis was performed to compare the TyG index in OSA patients vs. healthy controls by calculating standardized mean difference (SMD) and 95% confidence interval (CI) and pooling the area under the curves (AUCs) for diagnosis of OSA based on this index.

RESULTS:

Ten studies involving 16,726 individuals were included in the current systematic review. Meta-analysis indicated that there was a significantly higher TyG index in patients with OSA, compared with the healthy controls (SMD 0.856, 95% CI 0.579 to 1.132, P < 0.001). Also, TyG had a diagnostic ability for OSA representing a pooled AUC of 0.681 (95% CI 0.627 to 0.735). However, based on the two studies' findings, no difference between different severities of OSA was observed. Finally, our data showed that the TyG index is a good potential predictor of adverse outcomes in these patients.

CONCLUSION:

Our study revealed that the TyG index is an easy-to-measure marker of IR for assessing OSA, both in diagnosis and prognosis. Our study supports its implementation in routine practice to help clinicians in decision-making and patient stratification.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Apnea Obstructiva del Sueño Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Lipids Health Dis Asunto de la revista: BIOQUIMICA / METABOLISMO Año: 2024 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Apnea Obstructiva del Sueño Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Lipids Health Dis Asunto de la revista: BIOQUIMICA / METABOLISMO Año: 2024 Tipo del documento: Article País de afiliación: Irán