Assessment and management of chronic insomnia disorder: an algorithm for primary care physicians.

BACKGROUND: Primary care physicians often lack resources and training to correctly diagnose and manage chronic insomnia disorder. Tools supporting chronic insomnia diagnosis and management could fill this critical gap. A survey was conducted to understand insomnia disorder diagnosis and treatment practices among primary care physicians, and to evaluate a diagnosis and treatment algorithm on its use, to identify ways to optimize it specifically for these providers. METHODS: A panel of experts developed an algorithm for diagnosing and treating chronic insomnia disorder, based on current guidelines and experience in clinical practice. An online survey was conducted with primary care physicians from France, Germany, Italy, Spain, and the United Kingdom, who treat chronic insomnia patients, between January and February 2023. A sub-sample of participants provided open-ended feedback on the algorithm and gave suggestions for improvements. RESULTS: Overall, 106 primary care physicians completed the survey. Half (52%, 55/106) reported they did not regularly screen for insomnia and half (51%, 54/106) felt they did not have enough time to address patients' needs in relation to insomnia or trouble sleeping. The majority (87%,92/106) agreed the algorithm would help diagnose chronic insomnia patients and 82% (87/106) agreed the algorithm would help improve their clinical practice in relation to managing chronic insomnia. Suggestions for improvements were making the algorithm easier to read and use. CONCLUSION: The algorithm developed for, and tested by, primary care physicians to diagnose and treat chronic insomnia disorder may offer significant benefits to providers and their patients through ensuring standardization of insomnia diagnosis and management.

Turning alterations detected by mobile health technology in idiopathic REM sleep behavior disorder.

Idiopathic REM sleep Behavior Disorder (iRBD) is a condition at high risk of developing Parkinson's disease (PD) and other alpha-synucleinopathies. The aim of the study was to evaluate subtle turning alterations by using Mobile health technology in iRBD individuals without subthreshold parkinsonism. A total of 148 participants (23 persons with polysomnography-confirmed iRBD without subthreshold parkinsonism, 60 drug-naïve PD patients, and 65 age-matched controls were included in this prospective cross-sectional study. All underwent a multidimensional assessment including cognitive and non-motor symptoms assessment. Then a Timed-Up-and-Go test (TUG) at normal and fast speed was performed using mobile health technology on the lower back (Rehagait®, Hasomed, Germany). Duration, mean, and peak angular velocities of the turns were compared using a multivariate model correcting for age and sex. Compared to controls, PD patients showed longer turn durations and lower mean and peak angular velocities of the turns in both TUGs (all p ≤ 0.001). iRBD participants also showed a longer turn duration and lower mean (p = 0.006) and peak angular velocities (p < 0.001) compared to controls, but only in the TUG at normal speed. Mobile health technology assessment identified subtle alterations of turning in subjects with iRBD in usual, but not fast speed. Longitudinal studies are warranted to evaluate the value of objective turning parameters in defining the risk of conversion to PD in iRBD and in tracking motor progression in prodromal PD.

The invisible costs of obstructive sleep apnea (OSA): Systematic review and cost-of-illness analysis.

BACKGROUND: Obstructive sleep apnea (OSA) is a risk factor for several diseases and is correlated with other non-medical consequences that increase the disease's clinical and economic burden. However, OSA's impact is highly underestimated, also due to substantial diagnosis gaps. OBJECTIVE: This study aims at assessing the economic burden of OSA in the adult population in Italy by performing a cost-of-illness analysis with a societal perspective. In particular, we aimed at estimating the magnitude of the burden caused by conditions for which OSA is a proven risk factor. METHODS: A systematic literature review on systematic reviews and meta-analyses, integrated by expert opinion, was performed to identify all clinical and non-clinical conditions significantly influenced by OSA. Using the Population Attributable Fraction methodology, a portion of their prevalence and costs was attributed to OSA. The total economic burden of OSA for the society was estimated by summing the costs of each condition influenced by the disease, the costs due to OSA's diagnosis and treatment and the economic value of quality of life lost due to OSA's undertreatment. RESULTS: Twenty-six clinical (e.g., diabetes) and non-clinical (e.g., car accidents) conditions were found to be significantly influenced by OSA, contributing to an economic burden ranging from €10.7 to €32.0 billion/year in Italy. The cost of impaired quality of life due to OSA undertreatment is between €2.8 and €9.0 billion/year. These costs are substantially higher than those currently borne to diagnose and treat OSA (€234 million/year). CONCLUSIONS: This study demonstrates that the economic burden due to OSA is substantial, also due to low diagnosis and treatment rates. Providing reliable estimates of the economic impact of OSA at a societal level may increase awareness of the disease burden and help to guide evidence-based policies and prioritisation for healthcare, ultimately ensuring appropriate diagnostic and therapeutic pathways for patients.

Restless legs syndrome and its relationship with anxiety, depression, and quality of life in cancer patients undergoing chemotherapy.

OBJECTIVE: Restless legs syndrome (RLS) is a common sensorimotor disorder characterized by uncomfortable and unpleasant sensations in the legs that are relieved by movement. This study evaluated the prevalence of RLS in a consecutive series of cancer patients during chemotherapy and examined the relationship between presence of RLS and quality of life, anxiety, and depressive symptoms in these patients. METHODS: RLS was assessed according to the International RLS Study Group essential diagnostic criteria in two stages: a screening questionnaire first, followed by a sleep specialist-conducted structured diagnostic interview. The following questionnaires were administered: Functional Assessment of Cancer Therapy-General (FACT-G) for Quality-of-life (QoL) assessment; Hospital Anxiety and Depression Scale (HADS) to evaluate the levels of anxiety and depression; and Mini Mental Adjustment to Cancer Scale (Mini-MAC) to assess coping styles. RESULTS: A total of 257 patients were evaluated. Among them 56 were identified by the screening questionnaire to meet the criteria for RLS and 47 of whom were confirmed as affected by RLS after a structured interview, rendering a prevalence rate of 18.3%. RLS was significantly more frequent in women than men (23.7 vs. 11.8%; P = 0.01), and in patients receiving antineoplastic therapies for more than 3 months than their counterpart (21.8 vs. 10.8%; P = 0.03). Compared with those without RLS, patients with RLS had higher levels of anxiety (P = 0.0009) and depression (P = 0.001) and lower quality of life (P = 0.006). Sex-chemotherapy-duration-adjusted odds ratios of anxiety and physical well-being associated with RLS were 1.1 (95% CI 1.00-1.19; P = 0.04) and 0.7 (95% CI 0.43-1.01; P = 0.04), respectively. CONCLUSIONS: The prevalence of RLS in cancer patients undergoing chemotherapy is 18.3%, about double of that expected in the general population. The occurrence of RLS is much more frequent in female patients and with longer-term chemotherapy. Cancer patients afflicted by RLS have significantly higher levels of anxiety and depression, and poorer quality of life especially in the physical well-being dimension. Recognition and treatment of RLS in cancer patients is an important target in clinical management and may improve quality of life and overall health outcomes in these patients.

RLS-like symptoms: differential diagnosis by history and clinical assessment.

Restless legs syndrome (RLS) is a distressing condition with an impact on various aspects of an individual's life. However, the condition is underrecognized due to a lack of awareness and the fact that the patient does not describe symptoms easily associated with RLS. In clinical practice, the main misdiagnoses are the following: circulation problems, venous diseases, arthritis, back or spinal injury. It is possible to make a diagnosis of RLS based on the patient's medical history and physical examination, in conjunction with the essential criteria of International RLS Study Group (IRLSSG). If the patient fulfils each of the four criteria, a diagnosis of RLS is likely. Supportive features (including response to a dopaminergic agent, and positive family history for RLS) as well as associated features (natural clinical course, sleep disturbance, normal findings on physical examination) are not necessary for a diagnosis to be made but may support the diagnosis in ambiguous cases. In most conditions that may be confused with RLS (sleep starts, nocturnal leg cramps, neuroleptic-induced akathisia, painful leg and moving toe syndrome), RLS can be excluded for the lack of response to the dopaminergic treatment, as well as for the lack of the typical circadian profile.

Burden of restless legs syndrome on health-related quality of life.

OBJECTIVE: To quantify the total and unique burden of Restless Legs Syndrome (RLS) on patient-reported health-related quality of life (HRQoL). METHODS: The disease burden that RLS places on HRQoL was estimated by comparing Short-Form (SF-36) scores between individuals with RLS and several patient and general populations in the US. Regression methods were applied to estimate SF-36 normative values from the general population sample and statistically adjust them to match age, gender and disease comorbidity characteristics of the RLS sample. Significance tests were then used to compare the means across samples. RESULTS: All SF-36 measures were significantly below adjusted US general population norms. Five of the eight scales (physical functioning, role physical, bodily pain, general health, vitality) were below US norms by 0.8 or more standard deviations (SD), while the remaining three (social functioning, role emotional, mental health) were 0.5 SD below norm. The burden of RLS was greater on physical than on mental/emotional HRQoL (physical and mental summary scores were 1.08 and 0.40 SD below norm, respectively), and greater than that observed for type-2 diabetes. CONCLUSION: After controlling for the impact of age, gender, and disease comorbidity, RLS was associated with unique burden on both physical and mental aspects of HRQoL.

New approaches to the study of periodic leg movements during sleep in restless legs syndrome.

STUDY OBJECTIVES: To describe a new approach for the analysis of quantity, type, and periodicity of the leg motor activity during sleep in patients with restless legs syndrome (RLS) and periodic leg movements (PLM). METHODS: The following parameters were taken into account for LM: duration, amplitude, area under the curve, sleep stage, side, interval, and bilaterality. The analysis of inter-LM intervals was carried out by drawing their distribution graphs. A new index evaluated their periodicity and was validated by means of a Markovian analysis. The differences in inter-LM intervals, LM duration, and area under the curve between normal controls and patients and between the 3 patient subgroups identified on the basis of their periodicity were statistically analyzed. SETTING: N/A. PARTICIPANTS: Sixty-five patients with RLS and periodic LM and 22 young healthy controls. MEASUREMENTS AND RESULTS: The RLS patients' inter-LM interval distribution graph showed a wide peak with a maximum located at around 15 to 30 seconds and extending from 10 to 90 seconds, not present in controls, and another peak for intervals less than 8 seconds, higher than that of controls. Three patient subgroups were identified with different proportions of these 2 peaks, periodicity, and Markovian parameters. Periodicity was not dependent on the periodic leg movement index. Patients showing the peak mainly at around 15 to 30 seconds tended to show slightly longer and higher area under the curve LM than did the other 2 subgroups. CONCLUSIONS: Our new approach seems to be useful in a new qualitative differentiation among patients with PLM, which is not possible by using the simple PLM index.

Different periodicity and time structure of leg movements during sleep in narcolepsy/cataplexy and restless legs syndrome.

STUDY OBJECTIVES: To analyze periodic leg movements (PLM) during sleep in patients with narcolepsy and compare the results with those obtained in normal controls and subjects with restless legs syndrome (RLS). METHODS: We recruited 40 HLA DQB1*0602-positive patients with narcolepsy/cataplexy, 22 with RLS, and 22 controls. The time structure of their polysomnographically recorded LMs was analyzed by means of an approach particularly able to consider their periodicity. MEASUREMENTS AND RESULTS: Nineteen patients with narcolepsy had a PLM index greater than 15. The distribution of inter-LM intervals was clearly bimodal in RLS and narcoleptics, with 1 peak at 2 to 4 seconds and another at around 22 to 26 seconds; in the range 22 to 40 seconds, patients with RLS had values significantly higher than patients with narcolepsy. All periodicity parameters were significantly lower in the narcolepsy group. Finally, the distribution of the number of PLM per hour of sleep was bell shaped in normal controls and patients with narcolepsy, whereas patients with RLS showed a progressive decrease throughout the night. CONCLUSION: Most narcoleptic patients show a high number of LMs that are significantly less periodic than those of patients with RLS. PLM are in functional interrelationship with the cyclic alternating pattern, which is reduced in patients with narcolepsy; decreased arousal fluctuations during sleep may be one of the factors influencing the reduction in periodicity of LMs during sleep in narcolepsy.