Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity

Campo, Félix del; Arroyo, C. Ainhoa; Zamarrón, Carlos; Álvarez, Daniel

doi:10.1007/978-3-031-06413-5_4

Cited by 3 publications

(1 citation statement)

References 96 publications

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“…Given the high prevalence of undiagnosed OSA in the general population [ 53 , 54 ], it is crucial to develop advanced tools that can effectively identify individuals at high risk. These tools should help healthcare professionals and patients make informed decisions, streamline the referral process for PSG testing, ensure accurate diagnoses, and promote prompt initiation of treatment.…”

Section: Discussionmentioning

confidence: 99%

Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review

Yang,

Lu,

Yang

2024

Syst Rev

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Background Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive cessation or reduction in airflow during sleep. Stroke patients have a higher risk of OSA, which can worsen their cognitive and functional disabilities, prolong their hospitalization, and increase their mortality rates. Methods We conducted a comprehensive literature search in the databases of PubMed, CINAHL, Embase, PsycINFO, Cochrane Library, and CNKI, using a combination of keywords and MeSH words in both English and Chinese. Studies published up to March 1, 2022, which reported the development and/or validation of clinical prediction models for OSA diagnosis in stroke patients. Results We identified 11 studies that met our inclusion criteria. Most of the studies used logistic regression models and machine learning approaches to predict the incidence of OSA in stroke patients. The most frequently selected predictors included body mass index, sex, neck circumference, snoring, and blood pressure. However, the predictive performance of these models ranged from poor to moderate, with the area under the receiver operating characteristic curve varying from 0.55 to 0.82. All the studies have a high overall risk of bias, mainly due to the small sample size and lack of external validation. Conclusion Although clinical prediction models have shown the potential for diagnosing OSA in stroke patients, their limited accuracy and high risk of bias restrict their implications. Future studies should focus on developing advanced algorithms that incorporate more predictors from larger and representative samples and externally validating their performance to enhance their clinical applicability and accuracy.

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Section: Discussionmentioning

confidence: 99%

Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review

Yang,

Lu,

Yang

2024

Syst Rev

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Marketing Factors Associated with a Continuous Positive Airway Pressure Machine Purchasing in Patients with Obstructive Sleep Apnea

et al. 2023

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Aim: Obstructive sleep apnea (OSA) is related with several cardiovascular diseases. It should be treated with a continuous positive airway pressure (CPAP) machine. There is limited data on marketing factors on a decision of CPAP machine purchasing in OSA patients. Materials & methods: We enrolled adult patients aged over 18 years with OSA who tried a CPAP. Marketing factors were evaluated for a decision of CPAP machine purchasing. Results: There were 95 OSA patients participated in the study. Nice color CPAP machine and good knowledge and informative salesperson had adjusted odds ratio (aOR) of 4.480 and 9.478, the other two factors had aOR at 0.102 and 0.217. Conclusion: Marketing factors related to CPAP machine purchasing in patients with OSA.

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The Influence of Comorbidities on Chemokine and Cytokine Profile in Obstructive Sleep Apnea Patients: Preliminary Results

Chaszczewska-Markowska

Gębura

Bogunia‐Kubik

et al. 2023

JCM

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Introduction: Obstructive sleep apnea (OSA) is frequently associated with a chronic inflammatory state and cardiovascular/metabolic complications. The aim of this study was to evaluate the influence of certain comorbidities on a panel of 45 chemokines and cytokines in OSA patients with special regard to their possible association with cardiovascular diseases. Material and Methods: This cross-sectional study was performed on 61 newly diagnosed OSA patients. For the measurement of the plasma concentration of chemokines and cytokines, the magnetic bead-based multiplex assay for the Luminex® platform was used. Results: In the patients with concomitant COPD, there were increased levels of pro-inflammatory cytokines (CCL11, CD-40 ligand) and decreased anti-inflammatory cytokine (IL-10), while in diabetes, there were increased levels of pro-inflammatory cytokines (IL-6, TRIAL). Obesity was associated with increased levels of both pro-inflammatory (IL-13) and anti-inflammatory (IL-1RA) cytokines. Hypertension was associated with increased levels of both pro-inflammatory (CCL3) and anti-inflammatory (IL-10) cytokines. Increased daytime pCO2, low mean nocturnal SaO2, and the oxygen desaturation index were associated with increased levels of pro-inflammatory cytokines (CXCL1, PDGF-AB, TNF-α, and IL-15). Conclusions: In OSA patients with concomitant diabetes and COPD, elevated levels of certain pro-inflammatory and decreased levels of certain anti-inflammatory cytokines may favor the persistence of a chronic inflammatory state with further consequences. Nocturnal hypoxemia, frequent episodes of desaturation, and increased daytime pCO2 are factors contributing to the chronic inflammatory state in OSA patients.

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Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity

Cited by 3 publications

References 96 publications

Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review

Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review

Marketing Factors Associated with a Continuous Positive Airway Pressure Machine Purchasing in Patients with Obstructive Sleep Apnea

The Influence of Comorbidities on Chemokine and Cytokine Profile in Obstructive Sleep Apnea Patients: Preliminary Results

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