scholarly journals Sleep apnoea is a risk factor for severe COVID-19

2021 ◽  
Vol 8 (1) ◽  
pp. e000845
Author(s):  
Satu Strausz ◽  
Tuomo Kiiskinen ◽  
Martin Broberg ◽  
Sanni Ruotsalainen ◽  
Jukka Koskela ◽  
...  
Keyword(s):  
Risk Factor ◽  
Independent Risk Factor ◽  
Causes Of Death ◽  
Meta Analysis ◽  
Sleep Apnoea ◽  
Male Gender ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Obstructive Sleep ◽  
Positive Controls

BackgroundObstructive sleep apnoea (OSA) is associated with higher body mass index (BMI), diabetes, older age and male gender, which are all risk factors for severe COVID-19.We aimed to study if OSA is an independent risk factor for COVID-19 infection or for severe COVID-19.MethodsOSA diagnosis and COVID-19 infection were extracted from the hospital discharge, causes of death and infectious diseases registries in individuals who participated in the FinnGen study (n=260 405). Severe COVID-19 was defined as COVID-19 requiring hospitalisation. Multivariate logistic regression model was used to examine association. Comorbidities for either COVID-19 or OSA were selected as covariates. We performed a meta-analysis with previous studies.ResultsWe identified 445 individuals with COVID-19, and 38 (8.5%) of them with OSA of whom 19 out of 91 (20.9%) were hospitalised. OSA associated with COVID-19 hospitalisation independent from age, sex, BMI and comorbidities (p-unadjusted=5.13×10−5, OR-adjusted=2.93 (95% CI 1.02 to 8.39), p-adjusted=0.045). OSA was not associated with the risk of contracting COVID-19 (p=0.25). A meta-analysis of OSA and severe COVID-19 showed association across 15 835 COVID-19 positive controls, and n=1294 patients with OSA with severe COVID-19 (OR=2.37 (95% 1.14 to 4.95), p=0.021).ConclusionRisk for contracting COVID-19 was the same for patients with OSA and those without OSA. In contrast, among COVID-19 positive patients, OSA was associated with higher risk for hospitalisation. Our findings are in line with earlier works and suggest OSA as an independent risk factor for severe COVID-19.

Obesity is Not an Independent Risk Factor of Obstructive Sleep Apnoea in Asian Hypertensive Patients

2019 ◽  
Vol 28 ◽  
pp. S155
Author(s):  
S. Silaruks ◽  
K. Sawanyawisuth ◽  
P. Mahawarakorn ◽  
S. Khamsai ◽  
P. Limpawattana ◽  
...  
Keyword(s):  
Risk Factor ◽  
Obstructive Sleep Apnoea ◽  
Independent Risk Factor ◽  
Sleep Apnoea ◽  
Hypertensive Patients ◽  
Obstructive Sleep

Preoperative Circulating MiR-210, a Risk Factor for Postoperative Delirium Among Elderly Patients with Gastric Cancer Undergoing Curative Resection

2020 ◽  
Vol 26 (40) ◽  
pp. 5213-5219
Author(s):  
Yun Chen ◽  
Jinwei Zheng ◽  
Junping Chen
Keyword(s):  
Gastric Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Elderly Patients ◽  
Curative Resection ◽  
Postoperative Delirium ◽  
Area Under The Curve ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Clinicopathologic Characteristics

Background: Postoperative delirium (POD) is a very common complication in elderly patients with gastric cancer (GC) and associated with poor prognosis. MicroRNAs (miRNAs) serve as key post-transcriptional regulators of gene expression via targeting mRNAs and play important roles in the nervous system. This study aimed to investigate the potential predictive role of miRNAs for POD. Methods: Elderly GC patients who were scheduled to undergo elective curative resection were consequently enrolled in this study. POD was assessed at 1 day before surgery and 1-7 days after surgery following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM V, 2013). The demographics, clinicopathologic characteristics and preoperative circulating miRNAs by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were compared between patients with or without POD. Risk factors for POD were assessed via univariate and multivariate logistic regression analyses. Results: A total of 370 participants were enrolled, of which 63 had suffered from POD within postoperative 7 days with an incidence of 17.0%. Preoperative miR-210 was a predictor for POD with an area under the curve (AUC) of 0.921, a cut-off value of 1.67, a sensitivity of 95.11%, and a specificity of 92.06%, (P<0.001). In the multivariate logistic regression model, the relative expression of serum miR-210 was an independent risk factor for POD (OR: 3.37, 95%CI: 1.98–5.87, P=0.003). Conclusions: In conclusion, the present study highlighted that preoperative miR-210 could serve as a potential predictor for POD in elderly GC patients undergoing curative resection.

scholarly journals Apnoea–hypopnoea indices determined via continuous positive airway pressure (AHI-CPAPflow) versus those determined by polysomnography (AHI-PSGgold): a protocol for a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e044499
Author(s):  
Fanny Bertelli ◽  
Carey Meredith Suehs ◽  
Jean Pierre Mallet ◽  
Marie Caroline Rotty ◽  
Jean Louis Pepin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Continuous Positive Airway Pressure ◽  
Airway Pressure ◽  
Sleep Disordered Breathing ◽  
Positive Airway Pressure ◽  
Meta Analysis ◽  
Sleep Apnoea ◽  
Obstructive Sleep ◽  
The Impact ◽  
Disordered Breathing

Introduction To date, continuous positive airway pressure (CPAP) remains the cornerstone of obstructive sleep apnoea treatment. CPAP data describing residual sleep-disordered breathing events (ie, the CPAP-measured apnoea–hypopnoea indices (AHI-CPAPflow)) is difficult to interpret because it is an entirely different metric than the polysomnography (PSG) measured AHI gold standard (AHI-PSGgold). Moreover, manufacturer definitions for apnoea and hypopnoea are not only different from those recommended for PSG scoring, but also different between manufacturers. In the context of CPAP initiation and widespread telemedicine at home to facilitate sleep apnoea care, there is a need for concrete evidence that AHI-CPAPflow can be used as a surrogate for AHI-PSGgold. Methods and analysis No published systematic review and meta-analysis (SRMA) has compared the accuracy of AHI-CPAPflow against AHI-PSGgold and the primary objective of this study is therefore to do so using published data. The secondary objectives are to similarly evaluate other sleep disordered breathing indices and to perform subgroup analyses focusing on the inclusion/exclusion of central apnoea patients, body mass index levels, CPAP device brands, pressure titration modes, use of a predetermined and fixed pressure level or not, and the impact of a 4% PSG desaturation criteria versus 3% PSG on accuracy. The Preferred Reporting Items for SRMA protocols statement guided study design. Randomised controlled trials and observational studies of adult patients (≥18 years old) treated by a CPAP device will be included. The CPAP intervention and PSG comparator must be performed synchronously. PSGs must be scored manually and follow the American Academy of Sleep Medicine guidelines (2007 AASM criteria or more recent). To assess the risk of bias in each study, the Quality Assessment of Diagnostic Accuracy Studies 2 tool will be used. Ethics and dissemination This protocol received ethics committee approval on 16 July 2020 (IRB_MTP_2020_07_2020000404) and results will be disseminated via peer-reviewed publications. PROSPERO/Trial registration numbers CRD42020159914/NCT04526366; Pre-results

Male gender is an independent risk factor for major infection after severe blunt trauma

2004 ◽  
Vol 199 (3) ◽  
pp. 77
Author(s):  
Jeffrey L. Johnson ◽  
Ernest Moore ◽  
David Ciesla ◽  
Catherine Cothren ◽  
Angela Sauaia
Keyword(s):  
Risk Factor ◽  
Blunt Trauma ◽  
Independent Risk Factor ◽  
Male Gender ◽  
Major Infection

Risk Factors for Aortic Valve Calcification in Patients on Regular Hemodialysis

2009 ◽  
Vol 32 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Dejan Petrović ◽  
Radmila Obrenović ◽  
Biljana Stojimirović
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Valve ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Aortic Valve Calcification ◽  
Valve Calcification ◽  
Regular Hemodialysis

Introduction Aortic valve calcification (AVC) accelerates development of aortic valve stenosis and cardiovascular complications. Hyperphosphatemia is one of the key risk factors for aortic valve calcification. Aim The aim of this study was to evaluate the prevalence of AVC in patients on regular hemodialysis and to assess the impact of different factors on its appearance. Method: The study investigated a total of 115 patients treated in the Hemodialysis Department of the Urology and Nephrology Clinic at the Kragujevac Clinical Center in Serbia. The variables investigated were: serum albumin, C-reactive protein (CRP), homocysteine, total cholesterol, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), triglycerides (TG), Apolipoprotein A-I (Apo A-I), Apolipoprotein B (Apo B) and lipoprotein (a), calcium, phosphate and parathormone, and calcium-phosphorus product (Ca × P). Patients were evaluated by echocardiography for AVC. Statistical analysis included univariate and multivariate logistic regression analysis. Results Univariate regression analysis showed that serum phosphate levels and Ca × P are the most important risk factors for AVC (p<0.001). Multivariate logistic regression analysis revealed that hyperphosphatemia is an independent risk factor for AVC (p<0.001). Conclusion Hyperphosphatemia is an independent risk factor for aortic valve calcification.

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