TY - JOUR
T1 - Multiple, objectively measured sleep dimensions including hypoxic burden and chronic kidney disease
T2 - Findings from the Multi-Ethnic Study of Atherosclerosis
AU - Jackson, Chandra L.
AU - Umesi, Chizoba
AU - Gaston, Symielle A.
AU - Azarbarzin, Ali
AU - Lunyera, Joseph
AU - Mcgrath, John A.
AU - Jackson, W. Braxton
AU - Diamantidis, Clarissa J.
AU - Boulware, Ebony
AU - Lutsey, Pamela L.
AU - Redline, Susan
N1 - Funding Information:
Contributors Study concept: CLJ. Study design: CLJ and SR. Acquisition of data: SR. Statistical analysis: JAM, WBJ and AA. Interpretation of data: CLJ, CU, SAG, AA, JL, JAM, WBJ, EB, PLL and SR. Drafting of the manuscript: CLJ and CU. Critical revision of the manuscript for important intellectual content: CLJ, CU, SAG, AA, JL, JAM, WBJ, EB, PLL and SR. Quality assurance and control: CLJ and SR. Administrative, technical and material support: CLJ and SR. Obtaining funding: CLJ and SR. Study supervision: SR. Final approval: CLJ, CU, SAG, AA, JL, JAM, WBJ, EB, PLL and SR. Funding This work was funded, in part, by the Intramural Program at the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS, Z1AES103325-01). Funding support for Chizoba Umesi was provided by NIEHS Medical Student Research Fellowship. MESA is conducted and supported by the National Heart, Lung and Blood Institute (NHLBI) in collaboration with MESA investigators. Support for MESA is provided by contracts HHSN268201500003I, N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169, UL1-TR-000040, UL1-TR-001079, UL1-TR-001881 and DK06349. Funding support for the Sleep Polysomnography dataset was provided by grant HL56984. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org. SR is partly funded through the National Heart, Lung and Blood Institute (1R35 HL135818-01).
Funding Information:
This work was funded, in part, by the Intramural Program at the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS, Z1AES103325-01). Funding support for Chizoba Umesi was provided by NIEHS Medical Student Research Fellowship. MESA is conducted and supported by the National Heart, Lung and Blood Institute (NHLBI) in collaboration with MESA investigators. Support for MESA is provided by contracts HHSN268201500003I, N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169, UL1-TR-000040, UL1-TR-001079, UL1-TR-001881 and DK06349. Funding support for the Sleep Polysomnography dataset was provided by grant HL56984. A full list of participating MESA investigators and institutions can be found at http://www. mesa-nhlbi. org. SR is partly funded through the National Heart, Lung and Blood Institute (1R35 HL135818-01).
Publisher Copyright:
© 2021 Author(s) (or their employer(s)).
PY - 2021/7/1
Y1 - 2021/7/1
N2 - Background Poor sleep may contribute to chronic kidney disease (CKD) through several pathways, including hypoxia-induced systemic and intraglomerular pressure, inflammation, oxidative stress and endothelial dysfunction. However, few studies have investigated the association between multiple objectively measured sleep dimensions and CKD. Methods We investigated the cross-sectional association between sleep dimensions and CKD among 1895 Multi-Ethnic Study of Atherosclerosis Sleep Ancillary Study participants who completed in-home polysomnography, wrist actigraphy and a sleep questionnaire. Using Poisson regression models with robust variance, we estimated separate prevalence ratios (PR) and 95% CIs for moderate-to-severe CKD (glomerular filtration rate <60 mL/min/1.73 m2 or albuminuria >30 mg/g) among participants according to multiple sleep dimensions, including very short (≤5 hours) sleep, Apnoea-Hypopnoea Index and sleep apnoea-specific hypoxic burden (SASHB) (total area under the respiratory event-related desaturation curve divided by total sleep duration, %min/hour)). Regression models were adjusted for sociodemographic characteristics, health behaviours and clinical characteristics. Results Of the 1895 participants, mean age was 68.2±9.1 years, 54% were women, 37% were white, 28% black, 24% Hispanic/Latino and 11% Asian. Several sleep metrics were associated with higher adjusted PR of moderate-to-severe CKD: very short versus recommended sleep duration (PR=1.40, 95% CI 1.06 to 1.83); SASHB (Box-Cox transformed SASHB: PR=1.06, 95% CI 1.02 to 1.12); and for participants in the highest quintile of SASHB plus sleep apnoea: PR=1.28, 95% CI 1.01 to 1.63. Conclusions Sleep apnoea associated hypoxia and very short sleep, likely representing independent biological mechanisms, were associated with a higher moderate-to-severe CKD prevalence, which highlights the potential role for novel interventions.
AB - Background Poor sleep may contribute to chronic kidney disease (CKD) through several pathways, including hypoxia-induced systemic and intraglomerular pressure, inflammation, oxidative stress and endothelial dysfunction. However, few studies have investigated the association between multiple objectively measured sleep dimensions and CKD. Methods We investigated the cross-sectional association between sleep dimensions and CKD among 1895 Multi-Ethnic Study of Atherosclerosis Sleep Ancillary Study participants who completed in-home polysomnography, wrist actigraphy and a sleep questionnaire. Using Poisson regression models with robust variance, we estimated separate prevalence ratios (PR) and 95% CIs for moderate-to-severe CKD (glomerular filtration rate <60 mL/min/1.73 m2 or albuminuria >30 mg/g) among participants according to multiple sleep dimensions, including very short (≤5 hours) sleep, Apnoea-Hypopnoea Index and sleep apnoea-specific hypoxic burden (SASHB) (total area under the respiratory event-related desaturation curve divided by total sleep duration, %min/hour)). Regression models were adjusted for sociodemographic characteristics, health behaviours and clinical characteristics. Results Of the 1895 participants, mean age was 68.2±9.1 years, 54% were women, 37% were white, 28% black, 24% Hispanic/Latino and 11% Asian. Several sleep metrics were associated with higher adjusted PR of moderate-to-severe CKD: very short versus recommended sleep duration (PR=1.40, 95% CI 1.06 to 1.83); SASHB (Box-Cox transformed SASHB: PR=1.06, 95% CI 1.02 to 1.12); and for participants in the highest quintile of SASHB plus sleep apnoea: PR=1.28, 95% CI 1.01 to 1.63. Conclusions Sleep apnoea associated hypoxia and very short sleep, likely representing independent biological mechanisms, were associated with a higher moderate-to-severe CKD prevalence, which highlights the potential role for novel interventions.
KW - oxidative stress
KW - sleep apnoea
UR - http://www.scopus.com/inward/record.url?scp=85097420033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097420033&partnerID=8YFLogxK
U2 - 10.1136/thoraxjnl-2020-214713
DO - 10.1136/thoraxjnl-2020-214713
M3 - Article
C2 - 33277428
AN - SCOPUS:85097420033
SN - 0040-6376
VL - 76
SP - 704
EP - 713
JO - Thorax
JF - Thorax
IS - 7
ER -