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      The European Insomnia Guideline: An update on the diagnosis and treatment of insomnia 2023

      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 24 , 25 , 27 , 28 , 3 , 8 , 19 , 3 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 34 , 37 , 20 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 1
      Journal of Sleep Research
      Wiley

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          Summary

          Progress in the field of insomnia since 2017 necessitated this update of the European Insomnia Guideline. Recommendations for the diagnostic procedure for insomnia and its comorbidities are: clinical interview (encompassing sleep and medical history); the use of sleep questionnaires and diaries (and physical examination and additional measures where indicated) (A). Actigraphy is not recommended for the routine evaluation of insomnia (C), but may be useful for differential‐diagnostic purposes (A). Polysomnography should be used to evaluate other sleep disorders if suspected (i.e. periodic limb movement disorder, sleep‐related breathing disorders, etc.), treatment‐resistant insomnia (A) and for other indications (B). Cognitive‐behavioural therapy for insomnia is recommended as the first‐line treatment for chronic insomnia in adults of any age (including patients with comorbidities), either applied in‐person or digitally (A). When cognitive‐behavioural therapy for insomnia is not sufficiently effective, a pharmacological intervention can be offered (A). Benzodiazepines (A), benzodiazepine receptor agonists (A), daridorexant (A) and low‐dose sedating antidepressants (B) can be used for the short‐term treatment of insomnia (≤ 4 weeks). Longer‐term treatment with these substances may be initiated in some cases, considering advantages and disadvantages (B). Orexin receptor antagonists can be used for periods of up to 3 months or longer in some cases (A). Prolonged‐release melatonin can be used for up to 3 months in patients ≥ 55 years (B). Antihistaminergic drugs, antipsychotics, fast‐release melatonin, ramelteon and phytotherapeutics are not recommended for insomnia treatment (A). Light therapy and exercise interventions may be useful as adjunct therapies to cognitive‐behavioural therapy for insomnia (B).

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            Validation of the Insomnia Severity Index as an outcome measure for insomnia research.

            C. Bastien (2001)
            Background: Insomnia is a prevalent health complaint that is often difficult to evaluate reliably. There is an important need for brief and valid assessment tools to assist practitioners in the clinical evaluation of insomnia complaints.Objective: This paper reports on the clinical validation of the Insomnia Severity Index (ISI) as a brief screening measure of insomnia and as an outcome measure in treatment research. The psychometric properties (internal consistency, concurrent validity, factor structure) of the ISI were evaluated in two samples of insomnia patients.Methods: The first study examined the internal consistency and concurrent validity of the ISI in 145 patients evaluated for insomnia at a sleep disorders clinic. Data from the ISI were compared to those of a sleep diary measure. In the second study, the concurrent validity of the ISI was evaluated in a sample of 78 older patients who participated in a randomized-controlled trial of behavioral and pharmacological therapies for insomnia. Change scores on the ISI over time were compared with those obtained from sleep diaries and polysomnography. Comparisons were also made between ISI scores obtained from patients, significant others, and clinicians.Results: The results of Study 1 showed that the ISI has adequate internal consistency and is a reliable self-report measure to evaluate perceived sleep difficulties. The results from Study 2 also indicated that the ISI is a valid and sensitive measure to detect changes in perceived sleep difficulties with treatment. In addition, there is a close convergence between scores obtained from the ISI patient's version and those from the clinician's and significant other's versions.Conclusions: The present findings indicate that the ISI is a reliable and valid instrument to quantify perceived insomnia severity. The ISI is likely to be a clinically useful tool as a screening device or as an outcome measure in insomnia treatment research.
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              The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response.

              Although insomnia is a prevalent complaint with significant morbidity, it often remains unrecognized and untreated. Brief and valid instruments are needed both for screening and outcome assessment. This study examined psychometric indices of the Insomnia Severity Index (ISI) to detect cases of insomnia in a population-based sample and to evaluate treatment response in a clinical sample. Participants were 959 individuals selected from the community for an epidemiological study of insomnia (Community sample) and 183 individuals evaluated for insomnia treatment and 62 controls without insomnia (Clinical sample). They completed the ISI and several measures of sleep quality, fatigue, psychological symptoms, and quality of life; those in the Clinical sample also completed sleep diaries, polysomnography, and interviews to validate their insomnia/good sleep status and assess treatment response. In addition to standard psychometric indices of reliability and validity, item response theory analyses were computed to examine ISI item response patterns. Receiver operating curves were used to derive optimal cutoff scores for case identification and to quantify the minimally important changes in relation to global improvement ratings obtained by an independent assessor. ISI internal consistency was excellent for both samples (Cronbach α of 0.90 and 0.91). Item response analyses revealed adequate discriminatory capacity for 5 of the 7 items. Convergent validity was supported by significant correlations between total ISI score and measures of fatigue, quality of life, anxiety, and depression. A cutoff score of 10 was optimal (86.1% sensitivity and 87.7% specificity) for detecting insomnia cases in the community sample. In the clinical sample, a change score of -8.4 points (95% CI: -7.1, -9.4) was associated with moderate improvement as rated by an independent assessor after treatment. These findings provide further evidence that the ISI is a reliable and valid instrument to detect cases of insomnia in the population and is sensitive to treatment response in clinical patients.
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                Journal
                Journal of Sleep Research
                Journal of Sleep Research
                Wiley
                0962-1105
                1365-2869
                December 2023
                November 28 2023
                December 2023
                : 32
                : 6
                Affiliations
                [1 ] Department of Clinical Psychology and Psychophysiology, Centre for Mental Health (Department), Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
                [2 ] Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine University of Freiburg Freiburg Germany
                [3 ] Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neuroscience at the University of Oxford Oxford UK
                [4 ] Université de Bordeaux Bordeaux France
                [5 ] Reykjavik University Sleep Institute, School of Technology, Reykjavik University Reykjavik Iceland
                [6 ] Landspitali – The National University Hospital of Iceland Reykjavik Iceland
                [7 ] Human Sciences Department University of Rome Guglielmo Marconi Rome Rome Italy
                [8 ] Department of Neurology, Inselspital University of Bern Berne Switzerland
                [9 ] École de Psychologie Université Laval Québec Québec Canada
                [10 ] Psychiatric Practice Riga Latvia
                [11 ] Department of Global Public Health and Primary Care University of Bergen Bergen Norway
                [12 ] First Department of Psychiatry, Medical School National and Kapodistrian University of Athens Athens Greece
                [13 ] Institute of Clinical Neurophysiology University Medical Center Ljubljana Ljubljana Slovenia
                [14 ] Northumbria Sleep Research Laboratory Northumbria University Newcastle UK
                [15 ] Sleep Research Institute Madrid Spain
                [16 ] Department of Psychiatry Paris Cite University Paris France
                [17 ] Stavanger University Hospital Stavanger Norway
                [18 ] Centro de Medicina de Sono Hospital Cuf Porto Portugal
                [19 ] University Hospital of Psychiatry and Psychotherapy University of Bern Bern Switzerland
                [20 ] Centre for Cognitive Neurosciences University of Salzburg Salzburg Austria
                [21 ] East‐Viru Central Hospital Kohtla‐Järve Estonia
                [22 ] Institute for Consciousness and Dream Research Vienna Austria
                [23 ] Center for Sleep and Chronobiology Research, National Institute of Mental Health Klecany Czech Republic
                [24 ] Division of Psychology, Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
                [25 ] Centre for Psychiatry Research, Department of Clinical Neuroscience Karolinska Institutet, Stockholm, Sweden and Stockholm Health Care Services Stockholm Sweden
                [26 ] Finnish Institute of Occupational Health Helsinki Finland
                [27 ] Department of Clinical Medicine University of Copenhagen Kobenhavn Denmark
                [28 ] Department of Neurology and Neurosurgery Armenian National Institute of Health Yerevan Armenia
                [29 ] Department of Clinical Psychology University of Amsterdam Amsterdam The Netherlands
                [30 ] Université Paris Cité, APHP, Hôtel Dieu de Paris, Centre du Sommeil et de la Vigilance Paris France
                [31 ] Functional Neurology, Institute of Neurology and Neurosurgery Chisinau Moldova
                [32 ] Department of Education and Psychology University of Aveiro Aveiro Portugal
                [33 ] CINEICC – Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences University of Coimbra Coimbra Portugal
                [34 ] Department of Psychiatry University Hospital Geneve Geneve Switzerland
                [35 ] Psychiatry Unit, Department of Clinical and Experimental Medicine, School of Medicine University of Pisa Pisa Italy
                [36 ] Department of Psychiatry and SleepWell Research Program, Faculty of Medicine University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Public Health and Welfare, Finnish Institute for Health and Welfare Helsinki Finland
                [37 ] Department of Internal Medicine and Pediatrics Ghent University Ghent Belgium
                [38 ] The Cheryl Spencer Institute of Nursing Research University of Haifa Haifa Israel
                [39 ] Institute of Epidemiology and Social Medicine University of Münster Münster Germany
                [40 ] Department of Sleep and Cognition Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
                [41 ] Departments of Integrative Neurophysiology and Psychiatry, Center for Neurogenomics and Cognitive Research Amsterdam UMC, Amsterdam Neuroscience, VU University Amsterdam The Netherlands
                [42 ] Department of Clinical, Neuro‐ and Developmental Psychology & Amsterdam Public Health Research Institute Vrije Universiteit Amsterdam Amsterdam The Netherlands
                [43 ] Sleep Medicine Center and Third Department of Psychiatry, Institute of Psychiatry and Neurology Warsaw Poland
                [44 ] Multidisciplinary Sleep Disorders Centre Antwerp University Hospital and University of Antwerp Antwerp Belgium
                Article
                10.1111/jsr.14035
                38016484
                eeb6275a-8ecc-4392-bba1-24928e2a5d7b
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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