Chronic testicular pain cured by low-dose pramipexole: is there an association with restless legs syndrome?

Restless legs syndrome (RLS) is characterized by an urge to move the legs, predominantly at night. About one quarter of the patients with RLS report painful symptoms in the legs. In this case report, the patient presented at the sleep clinic with a chief complaint of insomnia and the classical symptoms of RLS. He also mentioned a chronic testicular pain (CTP). For over a year, the patient had undergone urologic investigation and empiric treatments, with only mild improvement of the testicular pain. After 3 months of therapy with pramipexole, the RLS symptoms and the CTP were no longer present. Finding an etiology for CTP can be challenging and many cases are diagnosed as idiopathic. RLS may be a forgotten and unidentified etiology for CTP in typical urological care. Considering the high prevalence of RLS and CTP, it is relevant to clarify the possible association. CITATION: Tedesco Silva LM, Lenz MCS, Martinez D. Chronic testicular pain cured by low-dose pramipexole: Is there an association with restless legs syndrome? J Clin Sleep Med. 2022;18(5):1467-1469.

Repeating administration of Epworth Sleepiness Scale is clinically useful.

PURPOSE: We aimed to verify whether it is clinically useful to repeat the Epworth Sleepiness Scale (ESS) in individuals with suspected sleep-disordered breathing (SDB). METHODS: In this cross-sectional, prospective study, results of the repeated administration of the ESS were analyzed. In 929 consecutive patients, ESS was obtained as usual in the laboratory routine, immediately before the sleep study (ESS1) and was repeated in the morning, after the polysomnography (ESS2). ROC curve, classical psychometry, and item response theory (IRT) Rasch analysis were used to assess measurement properties of ESS. RESULTS: The ESS1 score was (mean ± SD), 11 ± 5.1, and the ESS2, 13 ± 4.7 (p < 0.001). Change in ESS score is explained in multivariate analysis by age, but not by gender, educational level, change in Stanford Sleepiness Scale, symptoms of sleep disorder, or polysomnography results. Accuracy of an ESS score >10 to predict apnea-hypopnea index ≥5 increased from 56% (ESS1) to 72% (ESS2). IRT psychometric properties (unidimensionality, invariance, local independence) were maintained in ESS2. CONCLUSIONS: Repeating the administration of the Epworth Sleepiness Scale in a clinical setting increases its score and diagnostic accuracy and correlation with SDB variables, without changing the psychometric properties of the scale. This experiment indicates the clinical usefulness of repeating the ESS. The scale can be repeated at a negligible cost, before dismissing individual patients on the basis of a low ESS score, discontinuing a potentially lifesaving diagnostic and therapeutic process.

Circadian rhythm sleep disorders.

Circadian rhythm sleep disorders are common conditions manifested as misalignment between the sleep period and the physical/social 24-h environmental cycle. Delayed sleep phase (typical in adolescents) and advanced sleep phase (frequent in the elderly), situations in which the sleep period is displaced to a later or earlier time, respectively, are the two most prevalent circadian rhythm sleep disorders. There are, however, nine possible diagnoses of clinical interest. Since light is the main cue used in synchronizing the biological clock, blind individuals and night-shift/rotating-shift workers are more prone to develop circadian rhythm sleep disorders. In this article, the circadian rhythm syndromes included in the new International Classification of Sleep Disorders are reviewed as well as the most recent guidelines for diagnosis and treatment.

Diagnostic performance of cheeks appearance in sleep apnea.

OBJECTIVE: Obstructive sleep apnea (OSA) is a common, potentially life-threatening, but underdiagnosed condition. The study aimed to test the role of facial myofunctional alterations in OSA screening. METHOD: Sixty-one individuals with sleep complaints were evaluated by the Orofacial Myofunctional Evaluation with Scores (OMES) protocol before undergoing polysomnography. The performance of each of the protocol scores in OSA screening was tested. RESULTS: The nonparametric correlation of the apnea-hypopnea index (AHI) was significant for 18 of the 41 variables of the OMES protocol. Cheeks appearance had the best performance, increasing five times the odds for AHI ≥ 15. Its sensitivity was 66%; specificity, 72%; the area under the ROC curve, 0.69; positive and negative likelihood ratios, respectively, 2.38 and 0.47. DISCUSSION: Cheeks appearance may be an instantly visible surrogate of tongue and pharyngeal fat deposition and of muscle function in OSA screening. Adding the item "cheeks appearance" to OSA screening tools and questionnaires may be useful for the identification of OSA risk.

Is sleep apnea a winter disease?: meteorologic and sleep laboratory evidence collected over 1 decade.

BACKGROUND: The severity of obstructive sleep apnea increases by influence of conditions that are more frequent in winter. The hypothesis that the apnea-hypopnea index (AHI) of different patients undergoing polysomnography may be seasonally affected was tested. METHODS: The retrospectively analyzed database included 7,523 patients of both sexes who underwent in-laboratory baseline polysomnography to investigate any complaint of disordered sleep, during 1 decade, between January 2000 and December 2009. Data on climate and air pollution were obtained from official organizations. AHI was the main outcome variable. Cosinor analysis, a statistical method for the investigation of time series, was used to detect seasonality. RESULTS: The cosinor analysis confirmed the existence of a circannual pattern of AHI, with acrophase in winter and nadir during the summer. The seasonality is significant even after adjusting for sex, age, BMI, neck circumference, and relative air humidity. Median (25-75 interquartile range) AHI in the 6 months with colder weather was 17.8 (6.5-40.6/h), and in the warmer weather was 15.0 (5.7-33.2/h). The AHI correlated inversely with ambient temperature and directly with atmospheric pressure, relative air humidity, and carbon monoxide levels. Correlations with precipitation, particulate air matter < 10 µm, sulfur dioxide, and ozone were nonsignificant. CONCLUSIONS: More sleep-disordered breathing events were recorded in winter than in other seasons. Cosinor analysis uncovered a significant seasonal pattern in the AHI of different patients undergoing polysomnography, independent of sex, age, BMI, neck circumference, and relative air humidity. This finding suggests that obstructive sleep apnea severity may be associated with other seasonal epidemiologic phenomena.

Light sleep and sleep time misperception - relationship to alpha-delta sleep.

OBJECTIVE: We investigated the association of alpha-delta sleep (A-DS) with: (1) perception of light sleep and (2) discrepancy between subjective and objective sleep duration. METHODS: We analyzed data from 5764 individuals who underwent polysomnography (PSG) and replied questions about quantity and quality of sleep, including sleep depth. The difference between objectively recorded sleep time and subjectively estimated sleep time was calculated. Alpha-delta sleep (A-DS) was visually scored in a scale from 1 to 4, based on the density and overnight duration of alpha activity and confirmed using spectral array of the electroencephalographic activity. RESULTS: A-DS scores 1-4 occurred in, respectively, 37.9%; 31.3%; 20.5%; and 6.2% of the cases. ANOVA showed significant difference of light sleep sensation (p<0.001) and sleep time underestimation (p<0.001) among the four A-DS categories. Regression to explain both light sleep and sleep time underestimation, controlling for confounders, confirmed A-DS as a significant regressor. CONCLUSIONS: This study of a large prospective sample provides evidence for the association of alpha-delta sleep with subjective sensation of light sleep and with sleep time underestimation. SIGNIFICANCE: Alpha-delta sleep may be a marker of the physiological disorder underlying light sleep and sleep state misperception.

Dimensions of sleepiness and their correlations with sleep-disordered breathing in mild sleep apnea.

OBJECTIVE: There are many ways of assessing sleepiness, which has many dimensions. In patients presenting a borderline apnea-hypopnea index (AHI, expressed as events/hour of sleep), the mechanisms of excessive daytime sleepiness (EDS) remain only partially understood. In the initial stages of sleep-disordered breathing, the AHI might be related to as-yet-unexplored EDS dimensions. METHODS: We reviewed the polysomnography results of 331 patients (52% males). The mean age was 40 +/- 13 years, and the mean AHI was 4 +/- 2 (range, 0-9). We assessed ten potential dimensions of sleepiness based on polysomnography results and medical histories. RESULTS: The AHI in non-rapid eye movement (NREM) stage 1 sleep (AHI-N1), in NREM stage 2 sleep (AHI-N2), and in REM sleep (AHI-REM) were, respectively, 6 +/- 7, 3 +/- 3 and 10 +/- 4. The AHI-N2 correlated significantly with the greatest number of EDS dimensions (5/10), including the Epworth sleepiness scale score (r = 0.216, p < 0.001). Factor analysis, using Cronbach's alpha, reduced the variables to three relevant factors: QUESTIONNAIRE (alpha = 0.7); POLYSOMNOGRAPHY (alpha = 0.68); and COMPLAINTS (alpha = 0.55). We used these factors as dependent variables in a stepwise multiple regression analysis, adjusting for age, gender, and body mass index. The AHI-N1 correlated significantly with POLYSOMNOGRAPHY (beta = -0.173, p = 0.003), and the AHI-N2 correlated significantly with COMPLAINTS (beta = -0.152, p = 0.017). The AHI-REM did not correlate with any factor. CONCLUSIONS: Our results underscore the multidimensionality of EDS in mild sleep apnea.

Diagnosis of circadian rhythm sleep disorders.

Insomnia and excessive sleepiness are common in the investigation of sleep-disordered breathing. Circadian rhythm sleep disorders are perhaps the most often overlooked conditions in the differential diagnosis of these symptoms. Circadian rhythm sleep disorders manifest as misalignment between the sleep period and the physical/social 24-h environmental cycle. The two most prevalent circadian rhythm sleep disorders are delayed sleep phase (common in adolescents) and advanced sleep phase (common in the elderly), situations in which the sleep period is displaced to a later or earlier time, respectively. It is important to keep these two disorders in mind, since they can be confused with insomnia and excessive sleepiness. However, there are nine possible diagnoses, and all nine are of clinical interest. Since light is the principal cue used in synchronizing the biological clock, blind individuals and night-shift/swing-shift workers are more prone to develop circadian rhythm sleep disorders. In this article, the new international classification of circadian rhythm sleep disorders is reviewed.

Dimensions of sleepiness and their correlations with sleep-disordered breathing in mild sleep apnea / Dimensões da sonolência e suas correlações com os transtornos respiratórios do sono na apneia do sono leve

OBJECTIVE: There are many ways of assessing sleepiness, which has many dimensions. In patients presenting a borderline apnea-hypopnea index (AHI, expressed as events/hour of sleep), the mechanisms of excessive daytime sleepiness (EDS) remain only partially understood. In the initial stages of sleep-disordered breathing, the AHI might be related to as-yet-unexplored EDS dimensions. METHODS: We reviewed the polysomnography results of 331 patients (52 percent males). The mean age was 40 ± 13 years, and the mean AHI was 4 ± 2 (range, 0-9). We assessed ten potential dimensions of sleepiness based on polysomnography results and medical histories. RESULTS: The AHI in non-rapid eye movement (NREM) stage 1 sleep (AHI-N1), in NREM stage 2 sleep (AHI-N2), and in REM sleep (AHI-REM) were, respectively, 6 ± 7, 3 ± 3 and 10 ± 4. The AHI-N2 correlated significantly with the greatest number of EDS dimensions (5/10), including the Epworth sleepiness scale score (r = 0.216, p < 0.001). Factor analysis, using Cronbach's alpha, reduced the variables to three relevant factors: QUESTIONNAIRE (α = 0.7); POLYSOMNOGRAPHY (α = 0.68); and COMPLAINTS (α = 0.55). We used these factors as dependent variables in a stepwise multiple regression analysis, adjusting for age, gender, and body mass index. The AHI-N1 correlated significantly with POLYSOMNOGRAPHY (β = -0.173, p = 0.003), and the AHI-N2 correlated significantly with COMPLAINTS (β = -0.152, p = 0.017). The AHI-REM did not correlate with any factor. CONCLUSIONS: Our results underscore the multidimensionality of EDS in mild sleep apnea.

OBJETIVO: Há muitas formas de avaliação da sonolência, a qual possui diversas dimensões. Em pacientes com um índice de apneia-hipopneia (IAH, expresso em eventos/hora de sono) limítrofe, os mecanismos da sonolência excessiva diurna (SED) permanecem apenas parcialmente esclarecidos. Nos estágios iniciais do transtorno respiratório do sono, o IAH pode estar relacionado a outras dimensões da SED ainda não exploradas. MÉTODOS: Revisamos os resultados de polissonografia de 331 pacientes (52 por cento do sexo masculino). A idade média foi de 40 ± 13 anos e o IAH médio de 4 ± 2 (variação, 0-9). Avaliamos dez dimensões potenciais de sonolência com base nos resultados da polissonografia e da história médica. RESULTADOS: O IAH em sono non-rapid eye movement (NREM) estágio 1 (IAH-N1), em sono NREM estágio 2 (IAH-N2), e em sono REM (IAH-REM) foram, respectivamente, 6 ± 7, 3 ± 3 e 10 ± 4. O IAH-N2 se correlacionou significantemente com o maior número de dimensões de SED (5/10), incluindo o escore da escala de sonolência de Epworth (r = 0,216, p < 0,001). Análise de fatores, utilizando-se o alfa de Cronbach, reduziu as variáveis a três fatores relevantes: QUESTIONÁRIO (α = 0,7); POLISSONOGRAFIA (α = 0,68); e QUEIXAS (α = 0,55). Usando esses fatores como variáveis dependentes na regressão múltipla, ajustando para idade, gênero e índice de massa corporal, o IAH-N1 se correlacionou significantemente com POLISSONOGRAFIA (β = -0,173, p = 0,003) e o IAH-N2, com QUEIXAS (β = -0,152, p = 0,017). O IAH-REM não se correlacionou com nenhum fator. CONCLUSÕES: Nossos resultados confirmam a multidimensionalidade da SED na apneia do sono leve.

Diagnóstico dos transtornos do sono relacionados ao ritmo circadiano / Diagnosis of circadian rhythm sleep disorders

Queixas de insônia e sonolência excessiva são comuns na investigação dos distúrbios respiratórios do sono; os transtornos do sono relacionados ao ritmo circadiano talvez sejam as causas mais freqüentemente esquecidas no diagnóstico diferencial destes sintomas. Estes transtornos se manifestam por desalinhamento entre o período do sono e o ambiente físico e social de 24 h. Os dois transtornos do sono relacionados ao ritmo circadiano mais prevalentes são o de fase atrasada (comum em adolescentes) e avançada do sono (comum em idosos), situações nas quais o período de sono se desloca para mais tarde e mais cedo, respectivamente. As possíveis confusões com insônia e sonolência excessiva tornam importante ter sempre em mente estes transtornos. Entretanto, há nove possíveis diagnósticos, e todos são de interesse clínico. Como a luz é o principal sinal para sincronizar os relógios biológicos, pessoas cegas e trabalhadores em turnos e noturno são os mais propensos a desenvolver transtornos do sono relacionados ao ritmo circadiano. Neste artigo, revisa-se a nova classificação internacional dos transtornos do sono relacionados ao ritmo circadiano.

Insomnia and excessive sleepiness are common in the investigation of sleep-disordered breathing. Circadian rhythm sleep disorders are perhaps the most often overlooked conditions in the differential diagnosis of these symptoms. Circadian rhythm sleep disorders manifest as misalignment between the sleep period and the physical/social 24-h environmental cycle. The two most prevalent circadian rhythm sleep disorders are delayed sleep phase (common in adolescents) and advanced sleep phase (common in the elderly), situations in which the sleep period is displaced to a later or earlier time, respectively. It is important to keep these two disorders in mind, since they can be confused with insomnia and excessive sleepiness. However, there are nine possible diagnoses, and all nine are of clinical interest. Since light is the principal cue used in synchronizing the biological clock, blind individuals and night-shift/swing-shift workers are more prone to develop circadian rhythm sleep disorders. In this article, the new international classification of circadian rhythm sleep disorders is reviewed.