The Clinical Study Of Correlation With Obese Or Non-obese Type Obstructive Sleep Apnea-hypopnea Syndrome And Insulin Resistance In Male

PurposeThe paper will explore the relationship and clinical significance among thesleep-disordered breathing index of patients with the non-obese or obese obstructivesleep apnea-hypopnea syndrome (OSAHS) in male and glucolipid metabolism as wellas insulin resistance (IR). This will help assess influence and prognosis of thenon-obese and obese OSAHS patients’ condition to metabolism.Thus,earlyprevention can be done and disease progression will be blocked. Moreover, it willhelp to know whether improving IR and patients’ metabolism can postpone oralleviate OSAHS progress or not and to further improve the prevention andtreatment of the non-obese and obese OSAHS and its complications.MethodContinuously selected88cases of out or in patients form January2012toFebruary2014in the First Affiliated Hospital of Guangdong College of Pharmacy.Allsubjects are male from20to70years old and the mean age was49years.All subjectsunderwent polysomnography (PSG) examin-ation and measurement of height, weight, and body mass index (BMI), OSA-HS diagnosis and indexing standardsadopted the Chinese Society of Respiratory Diseases credits will sleep apnea studygroup developed Standard (AHI <5normal,5to20mild, moderate21to40,≥41severe OSAHS). According to PS-G and body mass index (BMI) results,allsubjects were divided into26cases of obese OSAHS group,16cases of simpleobesity group,18cases of non-obese OSAHS group of28patients and normalcontrols. OSAHS patients group (AHI) indexing sleep apnea hypopnea index basedon:26cases of obese patients were divided into10cases ofmild OSAHS group,16cases in the severe group;28cases of non-obese patientswere divided into10cases of mild OSAHS group, group of18patients with moderateto severe. All subjects were measured fasting blood glucose (FPG), fasting insulin(FINS), serum total cholesterol (TC), triglyceride (TG), low density lipoprotein(LDL-C), high density lipoprotein (HDL-C) and insulin resistance index (HOMA-IR)valued.1. Compared with non-obese OSAHS patients, general information(age, BMI) whether there are significant differences between normal control group,the obese OSAHS patients, obese group among the four groups.2. Exclusion of age, BMI interference factors, analyze comparable groups:among other indicators of non-obese OSAHS group and the normal control group,obese OSAHS group and the obese group: respiratory monitoringindex (AHI, LSaO2) serological markers (FPG, FINS, TC, TG, LDL-C, HDL-C) isa significant difference, the analysis of non-obese and obese Are blood glucose andlipid levels and fasting insulin levels than the corresponding OSAHSpatients werecomparable group (control group, obese group) increased.3. After the non-obese and obese OSAHS patients OSAHS patients stratifiedaccording to disease severity (mild group, moderate and severe groups), each with acorresponding comparable group (control group, obese group)(age, BMI withoutstatistically significant) for respiration monitoring index(AHI, LSaO2), comparingserum markers (FPG, FINS, TC, TG, LDL-C, HDL-C) between obese and non-obese analysis type disease in patients with OSAHS severity (mild, moderate or severe) andthe correlation between glucose and lipid metabolism and insulin resistance.4. Whether non-obese and obese AHI and blood sugar, blood lipids in patientswith OSAHS linear correlation analysis, analysis of the non-obese and obese patientswith OSAHS severity of illness and fasting blood glucose, blood lipids related.5. Whether non-obese and obese patients with OSAHS HOMA-IR and sleepapnea monitoring indicators for linear correlation analysis, analysis of non-obese andobese patients with OSAHS HOMA-IR index with whether was negative correlationor positive correlation?6. Whether non-obese and obese patients with OSAHS AHI index multiplelinear regression analysis, the analysis is closely related to the condition of non-obeseand obese patients with OSAHS severity indicators have what.7. Depending on whether the study of obesity and disease severity in patientswith OSAHS is: non-obese patients with mild OSAHS group, obese patients withmoderate to severe OSAHS group and normal control group, obese patients withmild OSAHS group, obese patients with severe OSAHS group and obesegroup six groups as abscissa, ordinate insulin resistance index was produced diagrams,analysis with disease severity in patients with severe OSAHS, obese and non-obesepatients with OSAHS whether insulin resistance was increased.8. By AHI, FPG, FINS, TC, TG, LDL-C, HDL-C and other indicators make thediagnosis of obstructive sleep apnea syndrome ROC curve, sensitivity analysis anddiagnosis of OSAHS, the best indicator of specificity.9. Using one-way ANOVA, LSD method and linear regression analysis and otherstatistical learning methods correlation AHI, nighttime minimum oxygensaturation (LSaO2), BMI and HOMA-IR and other indicators to explore non-obeseand obese OSAHS and insulin resistance in.Results1. Calculating ANOVA and LSD method showed: OSAHS between obese andobese BMI and age of the two groups were not statistically different (P0.711 and0.391, respectively); among non-obese OSAHS group and normal control grouphad no significant difference in BMI and age (P=0.711and0.068). Illustrated in thecase of BMI and age-matched analyzes between non-obese OSAHS group andnormal control group of other indicators obese OSAHS group and the obese grouphave comparable between non-obese OSAHS group and normal control group Otherindicators also comparable.2. Non-obese OSAHS patient group FPG, FINS, TG, LDL-C levels comparedwith normal control group was significantly higher, the difference was statisticallysignificant compared to the two groups (p <0.01). Explained the exclusion of ageand BMI interference premise,the non-obese OSAHS patient group glucose and lipidlevels in patients of OSAHS than normal fasting insulin levels rised.3. After the obese and non-obese OSAHS group OSAHS group stratified accor-ding to disease severity, moderate and severe groups in glycolipids abnormal aspectsof insulin resistance than the corresponding groups are slightly heavier.4. Linear and non-obese OSAHS AHI glucose, lipids and other indicators ofpatient correlation analysis, the non-obese OSAHS patients AHI and F PG, TC,TG, LDL-C was positively correlated. Non-obese patients with OSAHS severity ofillness and fasting blood glucose, blood lipids related.5. Multiple linear non-obese OSAHS patients AHI stepwise regression analysis,the factors affecting the AH I was HOMA-IR. Help with non-obese patientswith OSAHS severity of illness index is closely related to the HOMA-IR, with anincrease in the severity of OSAHS also increased.6. Non-obese OSAHS patients with AHI、HOMA-IR and TG was significantlypositively correlated with the lowest oxygen saturation was negativelycorrelated. Non-obese OSAHS patients HOMA-IR is closely related to AHI andTG, and lowest oxygen saturation was negatively correlated.7. By the degree of obesity and the severity of OSAHS six groups as abscissa,insulin resistance index for the vertical axis of the box showing the results alsoshowed that, regardless of whether or not obesity, along with increased diseaseseverity in patients with OSAHS, mild, moderate and severe in patients with insulin resistance also will be increased.8. ROC curves showed, AHI is the best indicator of OSAHS evaluation, follo-wed by the TG, HOMA-IR, which also indirectly shows obstructive sleep apneasyndrome and TG, closely related to the HOMA-IR.Conclusion Through a comprehensive analysis of all the results of the above results:1. The male OSAHS patients wether obesity or non-obesity have blood sugar,blood lipid metabolic abnormalities and this glucose and lipid metabolism is closelyrelated to the severity of OSAHS.2. Non-obese OSAHS patients wether obesity or non-obesity have significantlycorrelated with insulin resistance and it is independent of obesity factor, increasing inthe severity of OSAHS, insulin resistance also increased.