Explorations of the application of polysomnographic sleep monitor in patients with schizophrenia and the monitoring effect of that on sleep quality and sleep structure of them / 中国医学装备

Objective:To explore and analyze the application of polysomnographic sleep monitor in patients with schizophrenia and the monitoring effect of that on sleep quality and sleep structure of them.Methods:A total of 90 patients with schizophrenia admitted to the First Affiliated Hospital of Xinjiang Medical University from March 2021 to May 2023 were selected as the observation group,and 80 healthy volunteers were selected as the health control group.All subjects were monitored by polysomnographic sleep monitor.Pittsburgh Sleep Quality Index(PSQI)score,sleep quality index of polysomnographic sleep monitor,the indicators of sleep structure and spindle wave index between two groups were compared.At the same time,Pearson correlation analysis was used to explore the correlation between PSQI score and sleep parameters.Results:PSQI score of the health control group was(5.36±0.65)scores,and that of the observation group was(14.24±3.58)scores,and the PSQI score of the observation group was significantly higher than that of the health control group,and the difference was statistically significant(t=23.115,P<0.05).Compared with the health control group,the observation group had shorter total sleep time,longer sleep latency,shorter rapid eye movement(REM)period and more awakening times,with statistical significances(t=15.136,40.355,36.620,24.226,P<0.05),respectively.There was no significant difference in REM latency between the observation group and the control group before treatment(P>0.05).Compared with the observation group before treatment,the observation group after treatment had longer total sleep time,shorter sleep latency,longer REM period and less awakening times,with statistical significances(t=3.145,12.021,8.668,9.101,P<0.05),respectively.Compared with health control group after treatment,the observation group after treatment had shorter total sleep time,longer sleep latency,shorter REM period and more awakening times,and the differences of them between two groups were statistically significant(t=9.704,14.781,15.899,9.901,P<0.05).Compared with the observation group before treatment,the N1%value was higher,the N2%value was higher and the N3%value was lower in the health control group before treatment,and the differences were statistically significant(t=10.163,9.483,10.065,P<0.05),respectively.There were no significant differences in REM%between the health control group and the observation group before and after treatment(P>0.05),respectively.Compared with the observation group before treatment,that after treatment had lower N1%value and N2%value,and higher N3%value(t=10.163,9.483,10.065,P<0.05),respectively.Compared with the health control group after treatment,the observation group after treatment had higher N1%value and N2%value,and lower N3%value,and the differences of them between two groups were statistically significant(t=7.628,4.210,7.153,P<0.05),respectively.Compared with the observation group before treatment,that after treatment had higher spindle wave density,amplitude and time.Compared with the health control group after treatment,the observation group after treatment had lower spindle wave density,amplitude and time,and the differences of them between two groups were significant(t=2.514,2.665,2.014,P<0.05),respectively.Pearson correlation analysis showed that PSQI score appeared significantly negative correlation with total sleep time,REM period,N3%value,spindle wave density and spindle amplitude,and appeared significantly positive correlation with sleep latency,awakening times,N1%value and N2%value,respectively,and the differences were statistically significant(r=-0.612,-0.269,-0.812,-0.778,-0.841,r=0.382,0.226,0.654,0.778,P<0.05).Conclusion:Abnormal sleep quality and structure,as well as abnormal sleep spindle wave activity,of patients with schizophrenia can be observed by using polysomnographic sleep monitor,which indicators is closely related to PSQI.

Polysomnographic Outcomes of 62 Patients in Dhaka City a Single-Center Study

Background: Obstructive sleep apnea (OSA) is a very common form of sleep disorder with associated health risks. OSA has been accompanied by more insidious conditions, like hypertension, heart disease, diabetes, stroke, and even daytime somnolence. For the diagnosis of sleep disorders, polysomnography is a comprehensive test. It records the patient`s brain waves, the oxygen level in the blood, ‘breathing and heart rate’, and ‘eye and leg movements during the study. Aim of the study: The aim of this study was to assess the effectiveness of polysomnography in the diagnosis of sleep apnea.Material & Methods:This comparative observational study was conducted in the Department of Otolaryngology &, Head Neck Surgery, Bashundara Ad-Din Medical College and Hospital, Bangladesh during the period from July 2020 to June 2021. In total 62 participants were included in the study population for this study. All the participants were divided into two groups. In group A, there were 5 healthy people without obstructive sleep apnea (No OSA group). On the other hand, in group B, there were 57 obstructive sleep apnea patients (OSA group). Ethical approval had been taken from the ethical committee of the mentioned hospital. Data were analyzed by using MS Office and SPSS version 23 programs as per need.Results:In analyzing the sleep scoring between both the groups, in both TRT minutes and total sleep time minutes we did not find any significant correlation (Table: 2). In analyzing the apnea, in comparing mean (±SD) obstructive, total, and AI calculations, we found significant correlations between the groups (Table: 3, Apnea; P values: 0.036, 0.035, and 0.024 respectively. In comparing different parameters of hypopneas (rule 1A), in most of the events, we found significant correlations except mean (±SD) central (Table 3 hypopneas: rule 1A) even, in comparing total mean (±SD) apneas and hypopneas combinedly we found the P-value as 0.002 (Table:3). In the OSA severity comparison between both the groups, in calculating AHI 1 to<15 events/hour, AHI 15 to<30 events/hour, and AHI ?30 events/hour we found significant correlations (P=.001, Table 3: OSA severity). In assessing the Mean (SD) AHI, OAI, RDI (AI+HI+RI), O2 Desats?3% and O2 Desats?3% Index (ODI) we found significant correlations (P values were 0.001, 0.041, 0.001, 0.003, 0.005 respectively). Besides these, in analyzing both the low SpO2 n (%) and snoring: n (%) there was a significant correlation between the group’s patients (P values were .007 and .001 respectively).Conclusion:Polysomnography may be considered an effective method for detecting measuring and treating obstructive sleep apnea (OSA). Sleep scoring and respiratory events analysis plays an important role in assessing the presence and severity of obstructive sleep apnea.

Gender differences in clinical profile and risk factors for obstructive sleep apnea in a public health care setting

Background: Obstructive Sleep Apnea Syndrome is an increasingly prevalent chronic condition which is, unfortunately, still underdiagnosed. It is peculiarity of this noisy disease that it announces itself to everyone within earshot-except its victims. The intermittent hypoxemia and sleep fragmentation caused by recurrent episodes of upper airway collapse are chiefly responsible for the pathophysiology associated with this condition.Methods: The present study was carried out from January 2014 to August 2015 in a tertiary care government hospital. In this comparative hospital based study 94 patients with Sleep Disordered Breathing and >13 years of age were included. There were 58 males and 36 females in the present study. All patients who satisfied inclusion criteria were studied after taking written consent. Collection of data was carried out with predesigned proforma.Results: Of all the 94 patients who underwent overnight Polysomnographic study,80 patients were diagnosed as Obstructive Sleep Apnea. Risk factor of OSA have gender differences in their distribution. Female patient is older with significantly higher mean age compared to male patients with OSA (52.9 vs 44.7 years). Females are having significantly higher BMI compared to male OSA(38.2 vs 31.5) but neck circumference is higher in males (44.7 Vs 38.1 cm).The prevalence of Smoking and Alcoholism as a risk factor is higher in male patients while endocrine disorder are more common in females. ENT abnormalities are present more or less equally in both the sexes.Conclusions: In the present study females’ patients with Obstructive Sleep Apnea were mainly Older, Obese, Postmenopausal and endocrine disorder like Hypothyroidism were more prevalent while male patients were Smoker, Alcoholic and had higher neck circumference.

Clinical observation of polysomnographic in patients with different subtypes of Parkinson's disease / 临床神经病学杂志

Objective To evaluate the changes parameters of polysomnographic ( PSG) with different subtypes of primary Parkinson's disease ( PD ) and analyze the clinical characteristics of sleep disorders in PD patients. Methods Ninety patients with primary PD [ tremor-predominant PD group ( n = 40 ) , postural instability gait disorder ( PIGD )-predominant PD group ( n = 50 ) ] and 50 healthy controls were detected by full night PSG monitoring. And the results were compared. Results Compared with tremor-predominant PD group, the total sleep time, bed time, sleep wake-up times, sleep efficiency and rapid eye movement ( REM ) sleep time of PIGD-predominant PD group were significantly lower (all P0. 05). Compared with the controls, the total sleep time and bed time of tremor-predominant PD group were significantly lower (all P0. 05). Combined with video surveillance video observation,the abnormality of REM sleep behavior disorder ( RBD) was 70% with PIGD-predominant PD group, in which the abnormality of tremor-predominant PD group was 2. 5%. Conclusions The PIGD-predominant PD patients are more likely to appear sleep disorders and RBD than tremor-predominant PD patients. It may be related to clinical heterogeneity of different PD subtypes.

Estudo do sono e função pulmonar em pacientes obesos mórbidos / Sleep study and pulmonary function in morbidly obese

INTRODUÇÃO: A obesidade acarreta uma série de alterações na fisiologia respiratória e no sono. Seu tratamento tem como objetivo a melhora da saúde e da qualidade de vida. OBJETIVO: Avaliar a função pulmonar e o sono em indivíduos obesos mórbidos pré-cirurgia bariátrica. MATERIAIS E MÉTODOS: Participaram deste estudo 38 pacientes, recrutados em dois serviços de cirurgia bariátrica e encaminhados ao Laboratório de Sono da Universidade Nove de Julho, São Paulo, Brasil. Os critérios de inclusão foram: obesos mórbidos, IMC entre 40 kg/m² e 50 kg/m² e IMC entre 35 kg/m² a 39,9 kg/m² se associados a comorbidades. RESULTADOS: A média de idade foi de 42 ± 10, o índice de massa corpórea médio foi de 50,09 ± 7,64. A média da circunferência abdominal foi de 132,48 ±11,07 e 134,31 ± 16,26 e de pescoço foi 42,34 ± 2,08 e 44,48 ± 3,67, respectivamente para mulheres e homens. As pressões máximas inspiratórias foram 57,57 ± 18,93 e 60,6 ± 3,72 e máximas expiratórias 56,63 ± 16,68 e 60 ± 18,52, para mulheres e homens respectivamente. O sono do movimento rápido dos olhos apresentou-se com média de 16,93 ± 13,61 e a saturação mínima da oxi-hemoglobina foi de 79,33 ± 10,26 durante o sono. Em 44,74% dos casos examinados, foram observadas alterações na Escala de Sonolência de Epworth (ESE); e em 76,3% ficou confirmada a presença de síndrome da apneia obstrutiva do sono (SAOS). CONCLUSÃO: Foram observadas alterações nas pressões máximas ventilatórias, na estrutura do sono associadas a considerável dessaturação noturna da oxi-hemoglobina, o que evidencia alta prevalência de SAOS nos pacientes obesos mórbidos.

INTRODUCTION: Obesity causes a series respiratory physiology and sleep changes. Its treatment aims to improve health and quality of life. OBJECTIVE: To evaluate pulmonary function and sleep in morbidly obeses pre-bariatric surgery. MATERIALS AND METHODS: The study had 38 patients recruited at two bariatric surgery services and referred to the Laboratório do Sono da Universidade Nove de Julho (Uninove), Sao Paulo, Brazil. The adopted criteria were: BMI between 40 kg/m² and 50 kg/m² and BMI between 35 kg/m² to 39.9 kg/m² associated comorbidities. RESULTS: Mean age was 42 ± 10, the mean body mass index was 50.09 ± 7.64. The average waist circumference was 132.48 ± 11.07 and 134.31 ± 16.26; the circumference neck was 42.34 ± 2.08 and 44.48 ± 3.67, respectively for women and men. The maximum inspiratory pressures were 57.57 ± 18.93 and 60.6 ± 3.72 and 56.63 ± 16.69 maximal expiratory and 60 ± 18.52 for women and men, respectively. The rapid eye movement sleep presented a mean of 16.93 ± 13.61 and minimum oxy-hemoglobin saturation of 79.33 ± 10.26 during sleep. In 44.74% of the cases studied changes were observed in the Epworth Sleepiness Scale; and in 76.30% the presence of the syndrome of obstructive sleep apnea (OSA) was confirmed. CONCLUSION: We observed changes in maximum pressure ventilation in sleep structure associated with significant nocturnal desaturation of oxy-hemoglobin showing a high prevalence of OSA in morbidly obese patients.

A double-blind comparison of the effect of the antipsychotics haloperidol and olanzapine on sleep in mania

The effects of haloperidol and olanzapine on polysomnographic measures made in bipolar patients during manic episodes were compared. Twelve DSM-IV mania patients were randomly assigned to receive either haloperidol (mean ± SD final dosage: 5.8 ± 3.8 mg) or olanzapine (mean ± SD final dosage: 13.6 ± 6.9 mg) in a 6-week, double-blind, randomized, controlled clinical trial. One-night polysomnographic evaluation was performed before and after the haloperidol or olanzapine treatment. Psychopathology and illness severity were rated respectively with the Young Mania Rating Scale (YMRS) and the Clinical Global Impressions - Bipolar version (CGI-BP). There was a significant improvement in the YMRS and CGI-BP scores at the end of the study for both groups. Mixed ANOVA used to compare the polysomnographic measures of both drugs demonstrated significant improvement in sleep measures with olanzapine. In the olanzapine group, statistically significant time-drug interaction effects on sleep continuity measures were observed: sleep efficiency (mean ± SEM pre-treatment value: 6.7 ± 20.3 percent; after-treatment: 85.7 ± 10.9 percent), total wake time (pre-treatment: 140.0 ± 92.5 min; after-treatment: 55.2 ± 44.2 min), and wake time after sleep onset (pre-treatment: 109.7 ± 70.8 min; after-treatment: 32.2 ± 20.7 min). Conversely, improvement of polysomnographic measures was not observed for the haloperidol group (P > 0.05). These results suggest that olanzapine is more effective than haloperidol in terms of sleep-promoting effects, although olanzapine is comparatively as effective as haloperidol in treating mania. Polysomnography records should provide useful information on how manic states can be affected by psychopharmacological agents.