Literature DB >> 24801394

Is obstructive sleep apnoea syndrome really one of the causes of secondary polycythaemia?

Soner Solmaz, Faysal Duksal, Sencer Ganidağlı.   

Abstract

BACKGROUND: It is widely believed that sleep apnoea syndrome leads to polycythaemia, but the evidence is largely anecdotal. We believe that polycythaemia is not commonly seen in patients with sleep apnoea syndrome. Therefore, we aimed to determine the relationship between polycythaemia and sleep apnoea syndrome.
METHODS: The study included 335 patients diagnosed with obstructive sleep apnoea (OSA) syndrome, all of whom underwent standard nocturnal polysomnography.
RESULTS: There were no significant differences in haemoglobin levels or haematocrit (P > 0.05) between the OSA groups in all patients. Of the 335 patients, only 1 male patient with severe OSA (0.3%) had clinically significant polycythaemia. According to regression analysis, there was a weak linear correlation between haemoglobin levels and lowest oxygen saturation levels in female patients (r = -0.242, P = 0.021).
CONCLUSION: We think that OSA is very rarely the reason for secondary polycythaemia.

Entities:  

Keywords:  Erythrocytosis; Intermittent hypoxaemia; Obstructive sleep apnoea syndrome; Polycythaemia

Mesh:

Substances:

Year:  2014        PMID: 24801394     DOI: 10.1179/1607845414Y.0000000170

Source DB:  PubMed          Journal:  Hematology        ISSN: 1024-5332            Impact factor:   2.269


  10 in total

1.  Sex-specific associations between erythrocyte measures and obstructive sleep apnea.

Authors:  Taomei Li; Naima Covassin; Lu Tan; Rong Ren; Ye Zhang; Fei Lei; Linghui Yang; Junying Zhou; Hongqiang Sun; Virend K Somers; Xiangdong Tang
Journal:  J Clin Sleep Med       Date:  2020-07-15       Impact factor: 4.062

2.  Changes in routine laboratory tests and survival in amyotrophic lateral sclerosis.

Authors:  Jessica Mandrioli; Edoardo Rosi; Nicola Fini; Antonio Fasano; Silvia Raggi; Anna Laura Fantuzzi; Giorgio Bedogni
Journal:  Neurol Sci       Date:  2017-10-04       Impact factor: 3.307

3.  A dual blocker of endothelin A/B receptors mitigates hypertension but not renal dysfunction in a rat model of chronic kidney disease and sleep apnea.

Authors:  Humberto Morales-Loredo; David Jones; Adelaeda Barrera; Perenkita J Mendiola; Joshua Garcia; Carolyn Pace; Minerva Murphy; Nancy L Kanagy; Laura V Gonzalez Bosc
Journal:  Am J Physiol Renal Physiol       Date:  2019-02-27

4.  Metabolic dysfunction in obstructive sleep apnea: A critical examination of underlying mechanisms.

Authors:  Omar A Mesarwi; Ellora V Sharma; Jonathan C Jun; Vsevolod Y Polotsky
Journal:  Sleep Biol Rhythms       Date:  2015-01       Impact factor: 1.186

5.  Obstructive sleep apnea is highly prevalent in COVID19 related moderate to severe ARDS survivors: findings of level I polysomnography in a tertiary care hospital.

Authors:  Abhishek Goyal; Khushboo Saxena; Avishek Kar; Alkesh Khurana; Parneet Kaur Bhagtana; Chinta Siva Koti Rupa Sridevi; Abhijit Pakhare
Journal:  Sleep Med       Date:  2021-06-19       Impact factor: 4.842

6.  Concurrent mild increases in erythrocyte measures and obstructive sleep apnea in women after 50 years old.

Authors:  Wen-Yang Li; Wei Wang
Journal:  J Clin Sleep Med       Date:  2021-07-01       Impact factor: 4.324

Review 7.  Intermittent hypoxia in childhood: the harmful consequences versus potential benefits of therapeutic uses.

Authors:  Tatiana V Serebrovskaya; Lei Xi
Journal:  Front Pediatr       Date:  2015-05-19       Impact factor: 3.418

8.  Guinea Pig as a Model to Study the Carotid Body Mediated Chronic Intermittent Hypoxia Effects.

Authors:  Inmaculada Docio; Elena Olea; Jesus Prieto-LLoret; Teresa Gallego-Martin; Ana Obeso; Angela Gomez-Niño; Asuncion Rocher
Journal:  Front Physiol       Date:  2018-06-05       Impact factor: 4.566

9.  Nocturnal Mean Oxygen Saturation Is Associated with Secondary Polycythemia in Young Adults with Obstructive Sleep Apnea, Especially in Men.

Authors:  Ning Li; Hong Peng Li; Ping Wang; Ya Ru Yan; Shi Qi Li; Qing Yun Li
Journal:  Nat Sci Sleep       Date:  2019-12-05

10.  Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Authors:  Davide Masi; Renata Risi; Filippo Biagi; Daniel Vasquez Barahona; Mikiko Watanabe; Rita Zilich; Gabriele Gabrielli; Pierluigi Santin; Stefania Mariani; Carla Lubrano; Lucio Gnessi
Journal:  Nutrients       Date:  2022-01-15       Impact factor: 5.717

  10 in total

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