ORCID Profile
0000-0002-7405-1682
Current Organisations
Sahlgrenska University Hospital
,
Göteborgs universitet Sahlgrenska Akademin
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Wiley
Date: 24-05-2018
DOI: 10.1111/JSR.12705
Abstract: The effect of positive airway pressure treatment on weight and markers of central obesity in patients with obstructive sleep apnea remains unclear. We studied the change in body weight and anthropometric measures following positive airway pressure treatment in a large clinical cohort. Patients with obstructive sleep apnea with positive airway pressure treatment from the European Sleep Apnea Database registry (n = 1,415, 77% male, age 54 ± 11 [mean ± SD] years, body mass index 31.7 ± 6.4 kg/m
Publisher: European Respiratory Society (ERS)
Date: 19-11-2020
DOI: 10.1183/23120541.00340-2020
Abstract: The Swedish Registry of Respiratory Failure (Swedevox) collects nationwide data on patients starting continuous positive airway pressure (CPAP) treatment, long-term mechanical ventilator (LTMV) and long-term oxygen therapy (LTOT). We validated key information in Swedevox against source data from medical records. This was a retrospective validation study of patients starting CPAP (n=175), LTMV (n=177) or LTOT (n=175) across seven centres 2013–2017. Agreement with medical record data was analysed using differences in means ( sd ) and proportion (%) of a selection of clinically relevant variables. Variables of interest included for CPAP: apnoea–hypopnoea index (AHI), height, weight, body mass index (BMI) and Epworth Sleepiness Scale (ESS) score for LTMV: date of blood gas, arterial carbon dioxide tension ( P aCO 2 ) (breathing air), weight and diagnosis group and for LTOT: blood gases breathing air and oxygen, spirometry and main diagnosis. Data on CPAP and LTOT had very high validity across all evaluated variables (all % discrepancy). For LTMV, variability was higher against source information for P aCO 2 ( .5 kPa in 25.9%), weight ( kg in 47.5%) and diagnosis group. Inconsistency was higher for patients starting LTMV acutely versus electively ( P aCO 2 difference .5 kPa in 36% versus 21%, p .05, respectively). However, there were no signs of systematic bias (mean differences close to zero) across the evaluated variables. Validity of Swedevox data, compared with medical records, was very high for CPAP, LTMV and LTOT. The large s le size and lack of systematic differences support that Swedevox data are valid for healthcare quality assessment and research.
Publisher: Wiley
Date: 30-06-2022
DOI: 10.1111/JSR.13630
Abstract: Obstructive sleep apnea is linked to severe health consequences such as hypertension, daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to have obstructive sleep apnea with a substantial economic burden. However, the current diagnostic parameter of obstructive sleep apnea, the apnea–hypopnea index, correlates poorly with related comorbidities and symptoms. Obstructive sleep apnea severity is measured by counting respiratory events, while other physiologically relevant consequences are ignored. Furthermore, as the clinical methods for analysing polysomnographic signals are outdated, laborious, and expensive, most patients with obstructive sleep apnea remain undiagnosed. Therefore, more personalised diagnostic approaches are urgently needed. The Sleep Revolution, funded by the European Union's Horizon 2020 Research and Innovation Programme, aims to tackle these shortcomings by developing machine learning tools to better estimate obstructive sleep apnea severity and phenotypes. This allows for improved personalised treatment options, including increased patient participation. Also, implementing these tools will alleviate the costs and increase the availability of sleep studies by decreasing manual scoring labour. Finally, the project aims to design a digital platform that functions as a bridge between researchers, patients, and clinicians, with an electronic sleep diary, objective cognitive tests, and questionnaires in a mobile application. These ambitious goals will be achieved through extensive collaboration between 39 centres, including expertise from sleep medicine, computer science, and industry and by utilising tens of thousands of retrospectively and prospectively collected sleep recordings. With the commitment of the European Sleep Research Society and Assembly of National Sleep Societies, the Sleep Revolution has the unique possibility to create new standardised guidelines for sleep medicine.
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 05-2023
Publisher: Wiley
Date: 11-07-0004
DOI: 10.1111/JSR.12729
Abstract: Obstructive sleep apnea (OSA) and asthma are often associated and several studies suggest a bidirectional relationship between asthma and OSA. This study analyzed the characteristics of patients with suspected OSA from the European Sleep Apnea Database according to presence/absence of physician-diagnosed asthma. Cross-sectional data in 16,236 patients (29.1% female) referred for suspected OSA were analyzed according to occurrence of physician-diagnosed asthma for anthropometrics, OSA severity and sleepiness. Sleep structure was assessed in patients studied by polysomnography (i.e. 48% of the s le). The prevalence of physician-diagnosed asthma in the entire cohort was 4.8% (7.9% in women, 3.7% in men, p < 0.0001), and decreased from subjects without OSA to patients with mild-moderate and severe OSA (p = 0.02). Obesity was highly prevalent in asthmatic women, whereas BMI distribution was similar in men with and without physician-diagnosed asthma. Distribution of OSA severity was similar in patients with and without physician-diagnosed asthma, and unaffected by treatment for asthma or gastroesophageal reflux. Asthma was associated with poor sleep quality and sleepiness. Physician-diagnosed asthma was less common in a sleep clinic population than expected from the results of studies in the general population. Obesity appears as the major factor raising suspicion of OSA in asthmatic women, whereas complaints of poor sleep quality were the likely reason for referral in asthmatic men.
No related grants have been discovered for Ludger Grote.