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CPAP Therapy on Depressive and Anxiety Symptoms in Patients with Moderate to Severe Obstructive Sleep Apnea Syndrome. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58101402. [PMID: 36295563 PMCID: PMC9609270 DOI: 10.3390/medicina58101402] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 11/16/2022]
Abstract
Backgrounds and Objectives: There is a link between sleep apnea syndrome (OSA) and depressive and anxiety symptoms, but the underlying mechanisms are not fully understood. The study aimed to determine the prevalence of these symptoms in patients with OSA and to evaluate the impact of continuous positive airway pressure (CPAP) on depression and anxiety scores. Materials and Methods: Ninety-nine consecutive new patients diagnosed with moderate or severe (apnea-hypopnea index AHI ≥ 15 events/h) OSA were accepted for the CPAP therapy. Patients completed a patient health questionnaire (PHQ-9) for depressive symptoms and a generalized anxiety questionnaire (GAD-7) for anxiety symptoms before the CPAP treatment, after 6 months, and after 1 year of CPAP therapy with compliance. For both scores (PHQ-9 and GAD-7), a cut point ≥10 was used to indicate the presence of clinically depressive and anxiety symptoms. Results: Forty-eight individuals (48.48%) had PHQ-9 scores above the cut-off point ≥ 10, and twenty-seven participants (27.27%) had GAD-7 scores above the cut-off point ≥10. A significant correlation has been shown between PHQ-9 score and BMI (p < 0.0001), AHI (p < 0.0001), ODI (p < 0.001), ESS (p < 0.001), GAD-7 score (p < 0.0001), and [t90] (p < 0.0001), while GAD-7 was correlated with AHI (p < 0.030), ODI (p < 0.006), and [t90] (p < 0.001). The PHQ-9 and GAD-7 scores decreased significantly after 6 months of CPAP therapy in all groups and after 1 year of CPAP use. Conclusions: OSA patients should be screened for depression and anxiety. Furthermore, CPAP should be the first choice of treatment before starting other treatments for depression and anxiety symptoms.
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De Nunzio G, Conte L, Lupo R, Vitale E, Calabrò A, Ercolani M, Carvello M, Arigliani M, Toraldo DM, De Benedetto L. A New Berlin Questionnaire Simplified by Machine Learning Techniques in a Population of Italian Healthcare Workers to Highlight the Suspicion of Obstructive Sleep Apnea. Front Med (Lausanne) 2022; 9:866822. [PMID: 35692545 PMCID: PMC9174983 DOI: 10.3389/fmed.2022.866822] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Obstructive sleep apnea (OSA) syndrome is a condition characterized by the presence of repeated complete or partial collapse of the upper airways during sleep associated with episodes of intermittent hypoxia, leading to fragmentation of sleep, sympathetic nervous system activation, and oxidative stress. To date, one of the major aims of research is to find out a simplified non-invasive screening system for this still underdiagnosed disease. The Berlin questionnaire (BQ) is the most widely used questionnaire for OSA and is a beneficial screening tool devised to select subjects with a high likelihood of having OSA. We administered the original ten-question Berlin questionnaire, enriched with a set of questions purposely prepared by our team and completing the socio-demographic, clinical, and anamnestic picture, to a sample of Italian professional nurses in order to investigate the possible impact of OSA disease on healthcare systems. According to the Berlin questionnaire, respondents were categorized as high-risk and low-risk of having OSA. For both risk groups, baseline characteristics, work information, clinical factors, and symptoms were assessed. Anthropometric data, work information, health status, and symptoms were significantly different between OSA high-risk and low-risk groups. Through supervised feature selection and Machine Learning, we also reduced the original BQ to a very limited set of items which seem capable of reproducing the outcome of the full BQ: this reduced group of questions may be useful to determine the risk of sleep apnea in screening cases where questionnaire compilation time must be kept as short as possible.
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Affiliation(s)
- Giorgio De Nunzio
- Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics “E. De Giorgi”, University of Salento, Lecce, Italy
- Laboratory of Interdisciplinary Research Applied to Medicine, University of Salento, Local Health Authority, Lecce, Italy
- *Correspondence: Giorgio De Nunzio
| | - Luana Conte
- Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics “E. De Giorgi”, University of Salento, Lecce, Italy
- Laboratory of Interdisciplinary Research Applied to Medicine, University of Salento, Local Health Authority, Lecce, Italy
| | - Roberto Lupo
- “San Giuseppe da Copertino” Hospital, Local Health Authority, Lecce, Italy
| | - Elsa Vitale
- Department of Mental Health, Local Health Authority, Bari, Italy
| | - Antonino Calabrò
- “Nuovo Ospedale degli Infermi” Hospital, Local Health Authority, Biella, Italy
| | - Maurizio Ercolani
- Local Health Authority Marche Area Vasta 2 Health Department, Ancona, Italy
| | - Maicol Carvello
- Brisighella Community Hospital, Local Health Authority, Romagna, Italy
| | - Michele Arigliani
- Ear, Nose, and Throat Unit, “Vito Fazzi” Hospital, Local Health Authority, Lecce, Italy
| | - Domenico Maurizio Toraldo
- Cardio-Respiratory Unit Care, Department of Rehabilitation, “Vito Fazzi” Hospital, Local Health Authority, Lecce, Italy
| | - Luigi De Benedetto
- Integrated Therapies in Otolaryngology, Campus Bio-Medico University, Rome, Italy
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Gawlik-Kotelnicka O, Margulska A, Gabryelska A, Sochal M, Białasiewicz P, Strzelecki D. “Leaky Gut” as a Keystone of the Connection between Depression and Obstructive Sleep Apnea Syndrome? A Rationale and Study Design. Metabolites 2022; 12:metabo12020152. [PMID: 35208226 PMCID: PMC8878827 DOI: 10.3390/metabo12020152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/29/2022] [Accepted: 02/01/2022] [Indexed: 11/16/2022] Open
Abstract
Obstructive sleep apnea (OSA) and depression are highly comorbid. Immune alterations, oxidative stress or microbiota dysfunction have been proposed as some mechanisms underlying this association. The aim of the proposed study is to assess the severity and profile of OSA and depressive symptoms in the context of serum microbiota metabolites, biomarkers of intestinal permeability, inflammation and oxidative stress in adult patients diagnosed with OSA syndrome. The study population consists of 200 subjects. An apnoea-hypopnoea index ≥ 5/hour is used for the diagnosis. Depressive symptoms are assessed with Beck Depression Inventory. Measured serum markers are: tumour necrosis factor–alpha and interleukin-6 for inflammation, total antioxidant capacity and malondialdehyde concentration for oxidative stress, zonulin, calprotectin, lipopolisaccharide-binding protein and intestinal fatty acids-binding protein for intestinal permeability. All of the above will be measured by enzyme-linked immunosorbent assay (ELISA). Associations between clinical symptoms profile and severity and the above markers levels will be tested. It would be valuable to seek for overlap indicators of depression and OSA to create this endophenotype possible biomarkers and form new prophylactic or therapeutic methods. The results may be useful to establish a subpopulation of patients sensitive to microbiota therapeutic interventions (probiotics, prebiotics, and microbiota transplantation).
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Affiliation(s)
- Oliwia Gawlik-Kotelnicka
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 90-419 Lodz, Poland;
- Correspondence: ; Tel.: +48-603819776
| | | | - Agata Gabryelska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland; (A.G.); (M.S.); (P.B.)
| | - Marcin Sochal
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland; (A.G.); (M.S.); (P.B.)
| | - Piotr Białasiewicz
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland; (A.G.); (M.S.); (P.B.)
| | - Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 90-419 Lodz, Poland;
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