Objective To analyze the causes of missed diagnosis of sleep apnea hypopnea syndrome ( SAHS) . Methods 42 missed diagnosed cases with SAHS from May 2009 to May 2011 were retrospectively analyzed and related literatures were reviewed. Results The SAHS patients often visited the doctors for complications of SAHS such as hypertension, diabetes mellitus, metabolic syndrome, etc. Clinical misdiagnosis rate was very high. Lack of specific symptoms during the day, complicated morbidities, and insufficient knowledge of SAHS led to the high misdiagnosis rate and the poor treatment effect of patients with SAHS. Conclusion Strengthening the educational propaganda of SAHS, detail medical history collection, and polysomnography monitoring ( PSG) as early as possible can help diagnose SAHS more accurately and reduce missed diagnosis.
ObjectiveTo observes the postoperative transformation of subjective and objective sleep quality and related influencing factors in patients with rheumatic valvular heart disease (RVHD) who were found with central sleep apnea (CSA) after cardiac valve replacement.MethodsA total of 262 patients undergoing cardiac valve replacement were screened for CSA by overnight polysomnography and 21 patients with CSA were enrolled and followed up successfully in the 3th, 6th and 12th month of postoperation from April 2010 to January 2013. The Pittsburgh Sleep Quality Index, Epworth Sleepiness, polysomnography and cardiac function were evaluated in preoperation and postoperation (in the 3th, 6th and 12th month).ResultsNew York Heart Association class ［preoperation and postoperation: (3.7±0.5), (2.3±0.6), (1.7±0.6), (1.6±0.7), F=81.124, P<0.05］ continuously decreased, left ventricular ejection fraction ［preoperation and postoperation: (58.5±6.8)%, (60.0±7.4)%, (60.9±5.6)%, (64.4±4.0)%, F=7.182, P<0.05］ steadily increased, six-minute walk distance ［preoperation and postoperation: (271.5±76.6), (422.1±71.9), (445.1±56.2), (454.5± 63.5) m, F=67.134, P<0.05］ constantly increased. During postoperative follow-up, sleep apnea-hypopnea index ［preoperation and postoperation: (26.2±13.4), (12.0±11.5), (8.6±7.5), (7.4±5.5)/h, F=20.548, P<0.05, central sleep apnea index ［preoperation and postoperation: (19.6±10.3), (0.5±1.5), (0.3±1.3), (0.2±0.7)/h, F=72.926, P<0.05］ and oxygen desaturation index ［preoperation and postoperation: (20.1±16.6), (10.8±9.5), (8.5±7.2), (6.1±5.1)/h, F=9.646, P<0.05］ sustained improved. Aroual index ［preoperation and postoperation: (23.1±12.1), (2.7±3.8), (3.5±4.8), (2.2±2.1)/h, F=58.370, P<0.05］ presented overall downward trend. Pittsburgh Sleep Quality Index scale ［preoperation and postoperation: (11.1±3.2), (8.2±3.3), (6.0±3.8), (4.4±2.5), F=27.670, P<0.05］ were constantly improved. Epworth Sleepiness scale ［preoperation and postoperation: (13.3±5.7), (6.9±4.5), (8.2±4.8), (6.1±3.7), F=15.994, P<0.05］ showed overall reduction.ConclusionThe sleep quality of patients with RVHD and CSA is improved after cardiac valve replacement, of which the trend is in keep with postoperative recovery of cardiac function.
ObjectiveTo investigate the renal impairment and the risk factors of renal impairment in patients with OSA. MethodsData from patients who underwent polysomnography (PSG) in our department from July 2022 to January 2023 were collected, totaling 178 cases. Based on the results of the polysomnography, the patients were divided into an OSA group (145 cases) and a non-OSA group (33 cases). According to the severity of the condition, the OSA group was further divided into mild OSA (21 cases), moderate OSA (28 cases), and severe OSA (96 cases). The Pearson correlation analysis was further conducted to analyze the relationships between serum urea nitrogen (BUN), serum cystatin C (Cys-C) concentrations, and estimated Glomerular Filtration Rate (eGFR) with various risk factors that may influence renal impairment. Moreover, multiple linear regression analysis was used to identify the risk factors affecting BUN, Cys-C, and eGFR. ResultsWhen comparing the two groups, there were statistically significant differences in age, weight, BMI, neck circumference, waist circumference, eGFR、Cys-C、BUN, LSaO2, CT90% (all P<0.05). Univariate analysis of variance was used to compare differences in BUN, Serum creatinine (SCr), Cys-C, and eGFR among patients with mild, moderate, and severe OSA, indicating that differences in eGFR and Cys-C among OSA patients of varying severities were statistically significant. Further analysis with Pearson correlation was conducted to explore the associations between eGFR, BUN, and Cys-C with potential risk factors that may affect renal function. Subsequently, multiple linear regression was utilized, taking these three indices as dependent variables to evaluate risk factors potentially influencing renal dysfunction. The results demonstrated that eGFR was negatively correlated with age, BMI, and CT90% (β=−0.95, P<0.001; β=−1.36, P=0.01; β=−32.64, P<0.001); BUN was positively correlated with CT90% (β=0.22, P=0.01); Cys-C was positively correlated with CT90% (β=0.58, P<0.001. Conclusion Chronic intermittent hypoxia, age, and obesity are risk factors for renal dysfunction in patients with OSA.
ObjectiveTo analyse the hundred top-cited articles in obstructive sleep apnea hypopnea syndrome (OSAHS), and summarize the development trend of OSAHS research.MethodsWe searched the Web of Science core collection for all published articles on OSAHS or sleep disorders from January 1st, 1992 to May 23th, 2018. The hundred top-cited articles with the most frequent citation were selected. The publication time, country of origin, journal, institution, professional field of corresponding author, funding type, publication type, etc. were analyzed.ResultsThe hundred top-cited articles were published between 1992 and 2013, with 300～5 980 citations and a total of 65 719 citations. The main types of articles were clinical studies (73 articles), reviews (20 articles), guidelines (4 articles) and basic research (3 articles). Fourteen authors published more than one first-author paper, and fifteen authors published more than one articles as corresponding authors. These authors were distributed across 22 subject areas. The most cited country was the United States (60 articles), and the most cited institution was the University of Wisconsin (10 articles). The hundred top-cited articles were published in 31 journals, most of which were cited less than 1 000 times, and a few articles were cited more than 2 000 times.ConclusionsOSAHS has attracted much attention in respiratory medicine, neurology, epidemiology and other fields, and many articles about clinical research types of OSAHS have been cited. In addition, most of the highly cited articles in the OSAHS field come from the developed countries; our country needs to devote more resources to OSAHS research.
Sleep disorder is related to many comorbidities, such as diabetes, obesity, cardiovascular diseases, and hypertension. Because of its increasing prevalence rate, it has become a global problem that seriously threatens people’s health. Various forms of sleep disorder can cause increased insulin resistance and/or decreased sensitivity, thus affecting the occurrence, development and prognosis of diabetes. However, sleep health has not been paid attention to in recent years. Therefore, this article summarizes the findings of the correlation between sleep disorder and diabetes mellitus in recent years, by elaborating the relationship between various types of sleep disorder (including sleep apnea syndrome) and diabetes mellitus, as well as their mechanisms and intervention measures, in order to enhance the attention of clinical workers to sleep health, and to provide basis for reducing the risk of diabetes.
Objective To investigate the mediating effect of nursing intervention of sleep hygiene on insomnia in patients with liver cirrhosis. Methods One hundred and eighteen cirrhotic patients with grade-A liver function and insomnia treated between June 2012 and January 2015 were divided into control group (n=52) and intervention group (n=66) with random number table method. The control group received conventional nursing only, while the intervention group was given nursing intervention of sleep hygiene. The sleep quality of patients in the two groups on admission and discharge were surveyed and compared based on Pittsburgh sleep quality index (PSQI). The nursing effect was also compared between the two groups on discharge. Results There was no statistically significant difference in total score and scores for each factor of PSQI between the two groups of patients on admission (P>0.05). However, the total score and scores for each factor of PSQI on discharge in both groups were significantly lower than those on admission (P<0.05). Besides, the scores in the intervention group were significantly lower than those in the control group (P<0.05). The effect of nursing in the intervention group was superior to that in the control group (P<0.001). Conclusions Nursing intervention of sleep hygiene can effectively improve sleep quality in cirrhotic patients with grade-A liver function. The role of nursing intervention in the treatment of insomnia should be taken seriously.
Objective To prospectively verify the accuracy and reliability of the diagnostic model of obstructive sleep apnea (OSA), including the probability model and disease severity model, and to explore a simple and cost-effective method for screening of OSA. Methods A total of 996 patients who underwent polysomnography in Zigong Fourth People’s Hospital(590 cases) and West China Hospital of Sichuan University(406 cases) were consecutively and prospectively included as the research subjects. Firstly, the OSA diagnostic model was used for the diagnostic test; then polysomnography was performed; Finally, taking polysomnography as the gold standard, the sensitivity, specificity, accuracy, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio and area under the ROC curve of OSA diagnostic model were calculated, and the reliability analysis of the model’s results was carried out. Results The sensitivity, specificity and accuracy of the OSA diagnostic model were 76.38%(595/779), 83.41%(181/217) and 77.91%(776/996) respectively, the positive predictive value is 94.29%, negative predictive value is 45.49%, positive likelihood ratio is 4.604, negative likelihood ratio is 0.283; and the area under the ROC curve was 0.866. The reliability analysis of OSA diagnostic model showed that there was no significant difference in the bias comparison of AHI; the intra-class correlation coefficient(ICC) between AHI in the OSA diagnostic model and AHI in polysomnography was 0.659, with a relatively strong consistency degree; the intra-class correlation coefficient between the lowest SpO2 in the OSA diagnostic model and the lowest SpO2 in polysomnography was 0.563, with a moderate consistency degree. Conclusions The OSA diagnostic model can better predict the probability of illness and assess the severity of the disease, which is helpful for the early detection, diagnosis and treatment of OSA. The OSA diagnostic model is suitable for popularization and application in primary hospitals and when polysomnography is not available in time.
ObjectiveTo explore and clarify the relationship between epileptic seizure and inducing factors. Avoid inducing factors and reduce epileptic seizure, so as to improve the quality of life in patients with epilepsy.MethodsClinical data of 604 patients diagnosed with epilepsy in Xijing Hospital of Air Force Military Medical University from January 2018 to January 2019 were collected. The clinical data of patients with epilepsy were followed up 6 months.ResultsAmong the 604 patients, 318 (52.6%) were seizure-free in the last 6 months, 286 (47.4%) had seizures. 169 (59.1%) had seizures with at least one inducing factor. Common inducing factors: 123 cases of sleep disorder (72.8%), 114 cases of emotion changes (67.5%), 87 cases of irregular medication (51.5%), 97 cases of diet related (57.4%), 33 cases of menstruation and pregnancy (19.5%), etc. Using the χ2 test, seizures with age, gender differences had no statistical significance (P > 0.05), but seizure type was statistically different between inducing factors. In generalized seizures, tonic-clonic seizures associated with sleep deprivation (χ2= 0.189), absence seizures and anger (χ2= 0.237), pressure (χ2= 0.203), irregular life (χ2= 0.214). In the focal seizures, focal motor seizures was correlated with coffee consumption (χ2=0.145), focal sensory seizures with cold (χ2=0.235), electronic equipment use (χ2 =0.153), satiety (χ2 =0.257). Complex partial seizures was correlated with anger (χ2 =0.229), stress (χ2 =0.187), and cold (χ2 =0.198). The secondarily generalized seizures was correlated with drug missing (χ2 =0.231), sleep deprivation (χ2 =0.158), stress (χ2 =0.161), cold (χ2 =0.263), satiety (χ2 =0.182). Among the inducing factors, sleep deprivation was correlated with anger (χ2 =0.167), fatigue (χ2 =0.283), and stress (χ2 =0.230).ConclusionsEpileptic seizure were usually induced by a variety of factors. Generalized seizures were associated with sleep disorders, emotional changes, stress, irregular life, etc. While focal seizures were associated with stress, emotional changes, sleep disorders, cold, satiety, etc. An analysis of the triggers found that sleep deprivation was associated with anger, fatigue, and stress. Therefore, to clarify the inducing factors of epileptic seizure, avoid the inducing factors as much as possible, reduce the harm caused by seizures, and improve the quality of life of patients.
ObjectiveTo explore the influence of 3D printing assisting educational intervention on the anxiety and sleep outcomes in the patients with trauma. MethodA total of 40 patients were selected between October 2014 and June 2015. The patients were randomly divided into the intervention group and control group with 20 patients in each. The outcomes from admitted to the 7th day after the surgery were evaluated, including visual analogue scale (VAS) scores, state-trait anxiety inventory (STAI) score, Likert score, and the condition of anxiety, pain, and sleep outcomes. ResultsThe differences in VAS scores, STAI scores, and Likert scores between the two groups were significant (P<0.05). Conclusions3D printing assisting educational intervention is a useful intervention that can improve post-operative outcomes for the patients with trauma.
ObjectiveTo provide the possibility to explain the relationship between genotype and phenotype, and to provide reference for the clinical treatment of Sleep-related hypermotor epilepsy (SHE). MethodsWe retrospectively analyzed the case data of the child (patient 1) diagnosed with SHE in the outpatient department of the Second Affiliated Hospital of Wenzhou Medical University in December 2017, and inquired about his family history and growth and development history. We learned that the father (patient 2) of the child had a history of epilepsy, and we also collected his medical history and growth and development history of patient 2. We carried out the basic physical examination for the two patients, and basic blood routine and blood biochemical indicators have also been done. In addition, electroencephalogram, Wechsler intelligence assessment and cranial magnetic resonance imaging were performed. After the diagnosis of patients 1 and 2, we treated them with antiepileptic drugs and make them long-term follow-up. What’more, we collected the peripheral blood of patient 1 and his father and mother, sequenced the gene, established phylogenetic tree for the mutation gene, and compared the homologous protein sequence to judge the conservation of the mutation. Moreover, in silico analysis was used to analyze the pathogenicity of the mutant gene. ResultsWe find a family with epilepsy, of whom patient 1 and his father are with epilepsy. Their clinical manifestations are atypical, and their seizures are all in sleep. After a long-term follow-up of two patients' drug treatments, it is found that patient 1 and patient 2 respond well to the drugs. Gene test shows that the mutations of DEPDC5 (c.484-1del c.484_485del) and KCNQ2 (c.1164A> T) are at the same site in both patient 1 and patient 2, and the mutation sites are first reported. What’more, the homologous protein alignment shows that the amino acids corresponding to the two mutant genes are highly conserved. ConclusionThis study mainly reports a family with sleep-related hypermotor epilepsy. Patients 1 and patient 2 have novel mutations of DEPDC5 and KCNQ2 genes. In the long-term follow-up of this study, it is found that the patients are effective the antiepileptic drugs.