Objective:To investigate the incidence of collateral circulation in high-risk patients with sleep apnea and stroke treated by continuous positive airway pressure （CPAP） ventilation and to analyze the influencing factors. Methods:A total of 152 patients diagnosed with obstructive sleep apnea-hypopnea syndrome （OSAHS） combined with acute ischemic stroke （AIS） who were admitted to our hospital from January 2020 to June 2022 were selected for this study. Based on the apnea-hypopnea index （AHI）, the patients were divided into three groups: mild （n=44）, moderate （n=72）, and severe （n=36）. After treatment, the patients were further classified into a group without collateral circulation （n=30） and a group with collateral circulation （n=26）, which included those with moderate collateral circulation （n=69） and good collateral circulation （n=27）. Clinical data across the different groups were compared, and multiple factor analysis was performed to identify factors affecting the occurrence of collateral circulation. Results:The AHI and IL-6 levels in the severe group were significantly higher than those in the mild and moderate groups, while the levels of NO and PO2 were significantly lower in the severe group compared to the mild and moderate groups, with statistically significant differences among the three groups （P<0.05）. After treatment, all groups showed improvement, and the proportion of patients with collateral circulation was 84.09% in the mild group, 81.94% in the moderate group, and 72.22% in the severe group. Significant differences in age, AHI, NIHSS, NO, MoCA, and MMSE scores were observed between the groups with and without collateral circulation （P<0.05）. In the group with collateral circulation, the scores for age, AHI, and NIHSS in the good collateral circulation subgroup were significantly lower than those in the poor collateral circulation and moderate collateral circulation subgroups, while the scores for NO, MoCA, and MMSE were significantly higher in the good collateral circulation subgroup. Multi-factor analysis revealed that age, AHI, and NIHSS were independent risk factors for collateral circulation, whereas NO, MoCA, and MMSE served as protective factors that were negatively correlated with collateral circulation. Classification tree model results indicated that AHI had the greatest influence on the occurrence of collateral circulation among the five influencing factors, demonstrating good predictive capability. Conclusion:Most high-risk patients with sleep apnea and stroke are likely to develop collateral circulation following continuous positive airway pressure ventilation. Factors such as age, AHI, NIHSS, NO, MoCA, and MMSE are important determinants affecting the occurrence of collateral circulation.
Humans ; Collateral Circulation ; Continuous Positive Airway Pressure ; Stroke/physiopathology* ; Sleep Apnea, Obstructive/physiopathology* ; Risk Factors ; Male ; Incidence ; Female ; Middle Aged ; Aged ; Sleep Apnea Syndromes/physiopathology* ; Interleukin-6/blood*

OBJECTIVES: Previous studies have shown that periodic limb movements in sleep (PLMS) could be one of risk factors for cardiovascular morbidity. The purpose of this study was to investigate the association between PLMS and blood pressure changes during sleep. METHODS: We analyzed data from 358 adults (176 men and 182 women) aged 18 years and older who were free from sleep apnea syndrome (Respiratory Disturbance Index < 5) and sleep disorders such as REM sleep behavior disorder or narcolepsy. Demographic characteristics, polysomnography records, and clinical variable data including blood pressure, body mass index, alcohol, smoking, and current medications were collected. In addition, self-report questionnaires including the Beck Depression Index, Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index were completed. Blood pressure change from bedtime to awakening was compared between the two periodic limb movement index (PLMI) groups [low PLMI (PLMI ≤ 15) and high PLMI (PLMI > 15)]. Blood pressure change patterns were compared using repeated measures analysis of variance. RESULTS: Systolic blood pressure in the high PLMI group was lower than that in the low PLMI group (p = 0.036). These results were also significant when adjusted for gender and age, but were not statistically significant when adjusted for BMI, alcohol, smoking, anti-hypertension medication use and sleep efficiency (p = 0.098). Systolic blood pressure dropped by 9.7 mm Hg in the low PLMI group, and systolic blood pressure in the high PLMI group dropped by 2.9 mm Hg. There was a significant difference in delta systolic blood pressure after sleep between the two groups in women when adjusted for age, BMI, alcohol, smoking, antihypertensive medication use and sleep efficiency (p = 0.023). CONCLUSION: PLMS was significantly associated with a decreasing pattern in nocturnal BP during sleep, and this association remained significant in women when adjusted for age, BMI, alcohol, smoking, antihypertension medication use and sleep efficiency related to blood pressure. We suggest that PLMS may be associated with cardiovascular morbidity.
Adult ; Blood Pressure ; Body Mass Index ; Depression ; Extremities ; Female ; Humans ; Hypertension ; Male ; Narcolepsy ; Polysomnography ; REM Sleep Behavior Disorder ; Risk Factors ; Sleep Apnea Syndromes ; Sleep Wake Disorders ; Smoke ; Smoking

OBJECTIVES: We conducted this study to evaluate the diagnostic value of hematologic markers for moderate to severe obstructive sleep apnea syndrome (OSAS). METHODS: We performed the study using medical records from our sleep disorders center. We collected information regarding obstructive apnea-hypopnea index (oAHI), age, sex, body mass index, and complete blood counts with differential counts [white blood cell (WBC) count, neutrophil count, lymphocyte count, red blood cell distribution width (RDW), mean platelet volume, platelet count, platelet distribution width (PDW), neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio]. We excluded patients who were younger than 2 years, older than 14 years, obese/underweight, and those who had a hematologic or severe medical illness. RESULTS: We assessed records from 57 patients (7.98±3.25 years old, 35 men). We classified the subjects into three groups based on their oAHI scores, as follows: normal (oAHI < 1), mild OSAS (1≤oAHI < 5), and moderate/severe OSAS (oAHI≥5). Using a multivariate multinomial logistic regression model (pseudo R²=0.33), we found significant differences among the groups in RDW [moderate/severe OSAS vs. mild OSAS, adjusted odds ratio (OR): 8.77, p-value: 0.03], PDW (mild OSAS vs. normal, adjusted OR: 1.05, p-value: 0.04), and WBC (moderate/severe OSAS vs. normal, adjusted OR: 1.42, p-value: 0.03). CONCLUSIONS: RDW, PDW, and WBC had diagnostic value for moderate/severe OSAS in our study. Further prospective and validation studies are required to develop a screening tool for moderate/severe OSAS in children and adolescents.
Adolescent ; Blood Cell Count ; Blood Cells ; Blood Platelets ; Body Mass Index ; Child ; Erythrocyte Indices ; Erythrocytes ; Humans ; Logistic Models ; Lymphocyte Count ; Mass Screening ; Mean Platelet Volume ; Medical Records ; Neutrophils ; Odds Ratio ; Platelet Count ; Prospective Studies ; Sleep Apnea Syndromes ; Sleep Apnea, Obstructive ; Sleep Wake Disorders

OBJECTIVE: Uur aim was to investigate the association between OSAHS and mean platelet volume (MPV) value. METHOD: This study included 70 cases with OSAHS in our ward between Jan. 2012 and Jan. 2014, and the OSAHS patients were divided two groups: mild- to moderate group and severe group; 30 age-and sex-matched healthy subjects was in control group. The correlation among the levels of the number of platelets (PLT), MPV, platelet distribution width (PDW) were evaluated in the two groups. RESULT: PLT count was significantly lower in the severe group than the control group [(202. 8 ± 68. 9] × 10(9)/L, (235. 9 ± 65. 2) × 10(9)/L]; MPV and PDW were significantly higher in the severe group [(10. 9 ± 0. 9), (10. 4±0. 8) fL; (12. 9 ± 1. 9) %, (12. 0 ± 1. 4) %]. There was not significantly difference of MPV between the mild to moderate group and the control group [(10. 7 ± 0. 7), (10. 4 ± 0. 8)fL]. CONCLUSION MPV levels are elevated in patients with the severe OSAHS.
Blood Platelets ; Case-Control Studies ; Humans ; Mean Platelet Volume ; Sleep Apnea Syndromes ; blood ; Sleep Apnea, Obstructive ; blood

BACKGROUND AND OBJECTIVES: Snoring is very common among children; however, there is a controversy regarding its effects on children. The purpose of this study is to identify risk factors and comorbidities associated with the condition collectively. SUBJECTS AND METHOD: 208 children were invited to participate in this study. Parents were surveyed for each child's snoring status, chronic rhinitis, behavior, and the parents' snoring and smoking status. Measurements were taken of each child's height, weight, waist and neck circumference, and blood pressure. X-rays and physical exams were used to record tonsil and adenoid size. All children also received an intelligence test and comprehensive blood test. Results were then compared between snoring and non-snoring children. RESULTS: Among 208 children, 175 participated in the study voluntarily. Out of the participants, 55 were snorers and 120 were non-snorers. Body mass index, neck and waist circumferences, and prevalence of chronic rhinitis were higher among the snorer. Mothers of snoring children snored more frequently. Inattention and impulsivity scores were also higher among snorers than non-snorers. There were no differences of cognition, tonsil or adenoid size, or blood test results between the two. CONCLUSION: There were some differences in physical, family-related, and behavior trait between snoring and non-snoring children.
Adenoids ; Blood Pressure ; Body Mass Index ; Child* ; Cognition ; Comorbidity ; Hematologic Tests ; Humans ; Impulsive Behavior ; Intelligence Tests ; Mothers ; Neck ; Palatine Tonsil ; Parents ; Prevalence ; Rhinitis ; Risk Factors ; Sleep Apnea Syndromes ; Smoke ; Smoking ; Snoring* ; Waist Circumference

OBJECTIVE: This study aims to analyze how much heart rate variability (HRV) indices discriminatively respond to age and severity of sleep apnea in the obstructive sleep apnea syndrome (OSAS). METHODS: 176 male OSAS patients were classified into four groups according to their age and apnea-hypopnea index (AHI). The HRV indices were compared via analysis of covariance (ANCOVA). In particular, the partial correlation method was performed to identify the most statistically significant HRV indices in the time and frequency domains. Stepwise multiple linear regressions were further executed to examine the effects of age, AHI, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), and sleep parameters on the significant HRV indices. RESULTS: The partial correlation analysis yielded the NN50 count (defined as the number of adjacent R-wave to R-wave intervals differing by more than 50 ms) and low frequency/high frequency (LF/HF) ratio to be two most statistically significant HRV indices in both time and frequency domains. The two indices showed significant differences between the groups. The NN50 count was affected by age (p<0.001) and DBP (p=0.039), while the LF/HF ratio was affected by AHI (p<0.001), the amount of Stage 2 sleep (p=0.005), and age (p=0.021) in the order named in the regression analysis. CONCLUSION: The NN50 count more sensitively responded to age than to AHI, suggesting that the index is mainly associated with an age-related parasympathetic system. On the contrary, the LF/HF ratio responded to AHI more sensitively than to age, suggesting that it is mainly associated with a sympathetic tone likely reflecting the severity of sleep apnea.
Aging ; Blood Pressure ; Body Mass Index ; Heart ; Heart Rate ; Humans ; Linear Models ; Male ; Sleep Apnea Syndromes ; Sleep Apnea, Obstructive

OBJECTIVETo assess the changes of serum C-reactive protein (CRP) level, left atrial size and atrial premature contraction (PAC) in patients with obstructive sleep apnea syndrome (OSAS).

METHODSThis study involved 277 patients with OSAS diagnosed after an overnight polysomnography, who underwent a 24-h Holter electrocardiography and ambulatory blood pressure monitoring for detection of PAC. According to the apnea-hypopnea index (AHI), 137 patients with PAC identified from these patients were classified into 3 groups, namely the mild (5≥AHI<15), moderate (15≥AHI<30) and severe (AHI≥30) groups. Serum CRP level was assessed by a high-sensitivity radio-immunoassay. The left atrial diameter and echocardiographic parameters were recorded by transthoracic Doppler echocardiography (TTE).

RESULTSWe found a high prevalence of PAC in these OSAS patients (137/277, 49.4%). Serum CRP was significantly higher in severe OSAS group (5.01∓4.68 mg/L) than in the moderate (3.03∓1.94 mg/L) and mild OSAS (2.98∓1.82 mg/L) groups (P=0.040 and 0.033, respectively). The left atrial diameter was significantly increased in severe OSAS group (40.1∓7.9 mm) as compared to that in moderate (37.9∓5.5 mm) and mild (33.7 ∓ 3.8 mm) groups (P=0.025 and 0.002, respectively). The severity of OSAS was positively correlated to both CRP (r=0.304, P=0.034) and left atrial diameter (r=0.411, P=0.003). After adjusting for gender, age and body mass index (BMI), a strong correlation was found between the left atrial diameter and CRP (r=0.594, P=0.0005).

CONCLUSIONThere is a high prevalence of PAC in OSAS patients. The progression of OSAS is associated with increased serum CRP level and left atrial size in patients with premature atrial complexes. Our study suggests that inflammation associated with OSAS might contribute to atrial structural and electrical remodeling in OSAS patients with PAC.

Adult ; Aged ; Atrial Premature Complexes ; complications ; pathology ; C-Reactive Protein ; metabolism ; Electrocardiography ; Female ; Heart Atria ; pathology ; Humans ; Male ; Middle Aged ; Polysomnography ; Prevalence ; Sleep Apnea Syndromes ; blood ; complications

OBJECTIVETo explore the changes in plasma angiotensin II (Ang II) and circadian rhythm of blood pressure among hypertensive patients with sleep apnea syndrome (SAS) before and after continuous positive airway pressure (CPAP) or surgical treatment.

METHODSA total of 180 essential hypertension patients were enrolled in our study. The determination of plasma Ang II concentration, ambulatory blood pressure (ABP), and polysomnography (PSG) monitoring were performed before and 3 months after CPAP or surgical treatment.

RESULTSPatients were classified into three groups by their apnea-hypopnea index (AHI): essential hypertension group (EH group, n = 72; AHI< 5), essential hypertension with mild SAS group (EH+mild SAS group, n = 60, 5 ≤ AHI < 20), and essential hypertension with moderate and severe SAS group (EH + moderate-severe SAS group, n = 48, AHI ≥ 20). The concentrations of plasma Ang2 in the above three groups were 13.42 ± 3.27, 16.17 ± 3.82, and 18.73 ± 4.05 ng/mL respectively before treatment, and Ang2 concentration in EH patients combined with SAS was significantly higher than that in EH group (all P < 0.05). After treatment the values in the latter two groups significantly decreased to 14.67 ± 2.56 and 15.03 ± 3.41 ng/mL respectively (P < 0.05). The incidence of non-dipper blood pressure curve in EH patients was 31.9%, and those in hypertensive patients with mild SAS and moderate-severe SAS were 51.7% and 58.3%, respectively before treatment. The incidence of non-dipper blood pressure curve in the EH patients with mild SAS was significantly higher than that of patients with EH alone (P < 0.05). After CPAP treatment or surgery, the incidence of non-dipper blood pressure curve in the two SAS groups was significantly decreased to 38.3% and 39.6%, respectively (P < 0.05).

CONCLUSIONSAng II might play a role in blood pressure variability in patients with obstructive SAS. CPAP or surgical treatment can improve blood pressure disorder and decrease plasma Ang II level in patients with obstructive SAS.

Adult ; Aged ; Angiotensin II ; blood ; Blood Pressure ; physiology ; Blood Pressure Monitoring, Ambulatory ; Circadian Rhythm ; physiology ; Continuous Positive Airway Pressure ; Female ; Humans ; Hypertension ; physiopathology ; Male ; Middle Aged ; Pharynx ; surgery ; Polysomnography ; Sleep Apnea Syndromes ; blood ; physiopathology ; surgery ; therapy

OBJECTIVETo investigate the possible role of inflammation factors in the pathogenesis of impaired glucose tolerance (IGT) with concurrent obstructive sleep apnea/hypopnea syndrome (OSAHS) in pregnant women.

METHODSTwenty-five pregnant women with IGT and concurrent OSAHS and 35 pregnant women with IGT but not OSAHS were monitored for all night polysomnography (PSG), and the apnea hypopnea index (AHI) and the lowest pulse oxygen saturation (LSpO2) were recorded. The body mass index, glycated serum protein (GSP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were measured in these women.

RESULTSIL-6 and TNF-α levels increased significantly in women with IGT and OSAHS as compared with those in women without OSAHS. AHI showed significant positive correlations to GSP, IL-6 and TNF-α, whereas LSpO2 was inversely correlated to GSP, IL-6 and TNF-α. IL-6 and TNF-α were significantly correlated to GSP, with correlation coefficients of 0.510 and 0.476, respectively.

CONCLUSIONThe inflammatory factors may play important roles in IGT complicated by OSAHS in pregnant women, and as a potential risk factor, OSAHS may contribute to the occurrence of progression of IGT.

Adult ; Blood Glucose ; metabolism ; Female ; Glucose Tolerance Test ; Humans ; Interleukin-6 ; blood ; Oximetry ; Oxygen ; blood ; Oxygen Consumption ; physiology ; Pregnancy ; Pregnancy Complications ; blood ; Sleep Apnea Syndromes ; blood ; physiopathology ; Tumor Necrosis Factor-alpha ; blood

OBJECTIVETo investigate the relationship between sleep apnea-hypopnea syndrome (SAHS) and preeclampsia and the possible pathogenesis of the latter.

METHODSTwenty-five healthy pregnant women, 43 pregnant women with preeclampsia, and 27 with preeclampsia complicated by SAHS were enrolled in this study. Apnea-hypopnea index (AHI) and the lowest arterial oxygen saturation (LSaO2) were measured through a 7-hour polysomnography (PSG), and the maternal age, gestational age, body mass index and 24-hour urine protein were recorded.

RESULTSAll the indexes except for the maternal age and gestational age showed significant differences between the 3 groups. The two groups of preeclampsia patients showed a significant difference in BMI from the control cases. Significant positive correlations of AHI to BMI, MAP and 24-hour urine protein were noted; LSaO2 was found to inversely correlate to BMI, MAP, and 24-hour urine protein. In spite of the significant correlation of BMI to the other indexes, we found that BMI was less important than AHI and LSaO2.

CONCLUSIONSAHS may induce or aggravate preeclampsia. Greater attention should be given to the presence of SAHS in pregnant women with obesity, but obesity is not the predominant predisposing factor for preeclampsia.

Adult ; Body Mass Index ; Case-Control Studies ; Female ; Humans ; Interleukin-6 ; blood ; Polysomnography ; Pre-Eclampsia ; blood ; etiology ; Pregnancy ; Risk Factors ; Sleep Apnea Syndromes ; blood ; complications ; physiopathology ; Snoring ; physiopathology ; Tumor Necrosis Factor-alpha ; blood