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【Objective】 To construct a prediction model of severe obstructive sleep apnea (OSA) risk in the general population by using nomogram in order to explore the independent risk factors of severe OSA and guide the early diagnosis and treatment. 【Methods】 We retrospectively enrolled patients who had been diagnosed by polysomnography and divided them into training and validation sets at the ratio of 7∶3. Patients were divided into severe OSA group and non-severe OSA group according to apnea hypopnea index (AHI)>30. Variables entering the model were identified by least absolute shrinkage and selection operator regression model (Lasso), and logistic regression (LR) method. Then, multivariable logistic regression analysis was used to establish the nomogram, and the area under the receiver operating characteristic curve (AUC) was used to evaluate the discriminative properties of the nomogram model. Finally, we conducted decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire and Berlin questionnaire to assess clinical utility. 【Results】 Through single factor and multiple factor logistic regression analyses, the independent risk factors for severe OSA were screened out, including moderate and severe sleepiness, family history of hypertension, history of smoking, drinking, snoring, history of suffocation, sedentary lifestyle, male, age, body mass index (BMI), waist and neck circumference. Lasso logistic regression identified smoke, suffocation time, snoring time, waistline, Epworth sleepiness scale (ESS) and BMI as predictive factors for inclusion in the nomogram. The AUC of the model was 0.795 [95% confidence interval (CI): 0.769-0.820] . Hosmer-Lemeshow test indicated that the model was well calibrated (χ2=3.942, P=0.862). The DCA results on the visual basis confirmed that the nomogram had superior overall net benefits within a wide, practical threshold probability range which displayed the nomogram was higher than that of STOP-Bang questionnaire and Berlin questionnaire, which is clinically useful. The Clinical Impact Curve (CIC) analysis showed the clinical effectiveness of the prediction model when the threshold probability was greater than 82% of the predicted score probability value. The prediction model determined that the high-risk population with severe OSA was highly matched with the actual population with severe OSA, which confirmed the high clinical effectiveness of the prediction model. 【Conclusion】 The model performed better than STOP-Bang questionnaire and Berlin questionnaire in predicting severe OSA and can be applied to screening. And it can be helpful to the early diagnosis and treatment of OSA in order to reduce social burden.
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Objective@#To understand the neglect status among preschool non-only-child in Nantong, and to provide theoretical basis for the prevention and intervention of non-only child neglect.@*Methods@#Using the method of random cluster sampling, a total of 1 141 parents of children from 9 kindergartens in the main urban area of Nantong were investigated with National Neglect Norm Scale for Children aged 3 to 6 years.@*Results@#The neglect rate of preschool children in Nantong City was 28.6%, with neglect score being (40.21±6.67). The neglect rate of non-only-child was 32.6%, with neglect score being (41.14±6.73). The total and physical neglect rate of non-only-child were higher than that of only child, and the total neglect score and physical, emotional, educational, safety, medical neglect dimensional scores were higher than that of only-child, the difference were all statistically significant ( χ 2/ t = 6.21, 17.57; 3.95, 4.98, 3.45, 2.70, 2.01, 3.11, P <0.05). In non-only-child, univariate analysis showed that there were no significant differences in neglect rate and scores among children by gender and family types ( P >0.05); There was no significant difference in the child neglect rate between different age groups and children in different families ( χ 2 =3.59, 2.99, P >0.05), but there was a statistically significant difference in the degree of neglect ( t=2.79, 3.04, P <0.05). The neglect rate and score of non-only-child with high level of family income, parental education and parental relationship was relatively low, while the neglect rate and score in non-only-child whose grandparents serving as primary caregiver were higher ( P <0.05). Multivariate Logistic regression analysis showed that family monthly income less than 5 000 yuan was associated with 2.73 times higher risk of neglect compared to children with family monthly income more than 12 000 yuan. The risk of neglect among children whose grandparents serving as caregivers was associated with 2.17 times higher than children with parental care. The risk of neglect of children with poor parental relationship was 2.29 times higher than that of children with good parental relationship ( P <0.05).@*Conclusion@#The neglect among preschool non-only-child in Nantong City is common. Improvement in family economic status, parental care and parent relationship might help reduce neglect among preschool non-only-child.
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Objective@#To understand the neglect status among preschool non-only-child in Nantong, and to provide theoretical basis for the prevention and intervention of non-only child neglect.@*Methods@#Using the method of random cluster sampling, a total of 1 141 parents of children from 9 kindergartens in the main urban area of Nantong were investigated with National Neglect Norm Scale for Children aged 3 to 6 years.@*Results@#The neglect rate of preschool children in Nantong City was 28.6%, with neglect score being (40.21±6.67). The neglect rate of non-only-child was 32.6%, with neglect score being (41.14±6.73). The total and physical neglect rate of non-only-child were higher than that of only child, and the total neglect score and physical, emotional, educational, safety, medical neglect dimensional scores were higher than that of only-child, the difference were all statistically significant ( χ 2/ t = 6.21, 17.57; 3.95, 4.98, 3.45, 2.70, 2.01, 3.11, P <0.05). In non-only-child, univariate analysis showed that there were no significant differences in neglect rate and scores among children by gender and family types ( P >0.05); There was no significant difference in the child neglect rate between different age groups and children in different families ( χ 2 =3.59, 2.99, P >0.05), but there was a statistically significant difference in the degree of neglect ( t=2.79, 3.04, P <0.05). The neglect rate and score of non-only-child with high level of family income, parental education and parental relationship was relatively low, while the neglect rate and score in non-only-child whose grandparents serving as primary caregiver were higher ( P <0.05). Multivariate Logistic regression analysis showed that family monthly income less than 5 000 yuan was associated with 2.73 times higher risk of neglect compared to children with family monthly income more than 12 000 yuan. The risk of neglect among children whose grandparents serving as caregivers was associated with 2.17 times higher than children with parental care. The risk of neglect of children with poor parental relationship was 2.29 times higher than that of children with good parental relationship ( P <0.05).@*Conclusion@#The neglect among preschool non-only-child in Nantong City is common. Improvement in family economic status, parental care and parent relationship might help reduce neglect among preschool non-only-child.
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Objective:To analyze the correlation between obstructive sleep apnea (OSA) and attention deficit hyperactivity disorder (ADHD).Methods:The clinical Data, polysomnography (PSG) and cognitive function examination results of 112 OSA children admitted to Department of Otorhinolaryngology Head and Neck Surgery of the Second Affiliated Hospital of Xi′an Jiaotong University from January 2019 to June 2020 were retrospectively analyzed. According to the severity of OSA, the children were divided into mild, moderate and severe OSA groups, and the basic demographic characteristics, sleep parameters and ADHD occurrence were analyzed. According to the results of ADHD examination, the children were divided into ADHD group and non-ADHD group, and the basic demographic characteristics and sleep parameters were analyzed. Taking these parameters as independent variables, binary Logistic regression analysis was conducted to establish the model equation for predicting the risk of OSA associated ADHD among children.Results:Grouped by OSA severity, among the three groups, apnea-hypopnea index (AHI) [3.70 (2.84, 5.47) vs 8.59 (7.50, 9.54) vs 19.48 (15.83, 25.23)], obstructive apnea index (OAI) [1.31 (0.93, 1.82) vs 3.03 (1.54, 4.41) vs 11.69 (8.53, 15.42)], obstructive apnea-hypopnea index (OAHI) [2.82 (1.81, 3.64) vs 6.17 (5.58, 7.26) vs 15.68 (13.12, 21.25)], and respiratory event-related arousal index [0.50 (0.25, 1.05) vs 1.25 (0.70, 2.23) vs 2.40 (1.60, 4.70)] increased, minimum pulse oxygen saturation (SpO 2) [90.00 (88.00, 92.00) vs 87.00 (83.00, 90.25) vs 81.00 (76.00, 85.00)] decreased, the differences were statistically significant (all P<0.05). The non-rapid eye movement (NREM)1 period time ratio of the severe OSA group was significantly longer than that of the mild OSA group, while the average SpO 2 was significantly lower than that of the mild OSA group; the NREM3 period time ratio of the moderate and severe OSA group was significantly less than that of the mild OSA group; the arousal index of the severe OSA group was significantly greater than the mild or moderate OSA group. There were no statistically significant differences among the three groups in gender, age, body mass index, sleep efficiency, rapid eye movement (REM) period time ratio, and NREM2 period time ratio (all P>0.05). Mild OSA group had 10 cases of ADHD (17.54%), moderate OSA group had 7 cases (23.33%) of ADHD, severe OSA group had 9 cases of ADHD (36.00%), and the difference was not statistically significant. Grouped by ADHD examination, the AHI, OAI, OAHI, and NREM1 period time ratios of the ADHD group were significantly higher than those of the non-ADHD group, while the sleep efficiency, minimum SpO 2 and NREM3 period time ratio were significantly lower than those of the non-ADHD group. The Logistic regression analysis suggested that ADHD was correlated with sleep efficiency, minimum SpO 2, and NREM3 period time.The established Logistic regression equation was: X=15.670+0.061×(sleep efficiency)-0.212×(minimum SpO 2)-0.144×(NREM3 period time ratio), the sensitivity and specificity of the model prediction were 84.6% and 79.1% respectively when the area under the receiveroperating characteristic curves was 0.867. Conclusions:OSA and ADHD in children have a certain correlation. Sleep structure disturbance and intermittent hypoxia may be important reasons. The predictive model equations obtained by PSG in this study can be used to assess the risk of ADHD in children with OSA.
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Otorhinolaryngology is a high-risk department of a hospital, where there are many emergency critical diseases, common multiple diseases and major malignant diseases. Therefore, it is easy to cause many medical ethical problems. This paper analyzed the clinical status and characteristics of various otolaryngology diseases systematically, and expounded the related medical ethical issues in the diagnosis and treatment of otorhinolaryngology, including doctor-patient trust, safety and informed consent. Finally, the paper put forward a number of measures to do well the psychological evaluation and nursing care of patients, improve the professional skills of medical and nursing care, formulate the treatment plan of diseases, enhance the supervision and management of the network, and promote the social support of patients. The aim was to alleviate the "doctor-patient conflict" and create a harmonious medical environment.