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Correlation Analysis Of Different Body Mass Index With Inflammatory Factors And Insulin Resistance And Blood Fat In Patients With Polycystic Ovary Syndrome

Posted on:2024-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:E A D Y T S J NuFull Text:PDF
GTID:2544307085977259Subject:Obstetrics and gynecology
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Objective: Investigate the associations between body mass index(BMI),inflammatory factors,IRand indicators of lipid metabolism with PCOS,to assess the potential risk of metabolic disorders and to provide a valid benchmark for the development of long-term health management strategies for patients,in order for an effective combination of disease management and prevention of complications to be achieved.Methods: Patients with PCOSof the Xinjiang Uygur Autonomous Region Primary School from 1 October 2020 to 31 August 2022 were selected.163 patients with PCOS were finally included in this study,and the diagnostic criteria for PCOS were adopted from the 2003 Rotterdam International Diagnostic Criteria.According to the BMI standard in the 2004 edition of Chinese Adult overweight and Obesity Prevention guidelines,the subjects were divided into two groups:normal(BMI < 24 kg/m~2)and overweight and obese(overweight 24kg/m~2≤BMI<28kg/m~2;obese:BMI≥28kg/m~2).General information about the subjects was recorded: for example,age,height,weight,symptoms and clinical signs,etc.The main observation indices included the following:(1)serum insulin and glucose metabolism related indices:HOMA-IR,FPG,FINS;(2)lipid metabolism indices: TC,TG,LDL-C,HDL-C;(3)inflammatory factors: neutrophils,lymphocytes,neutrophil /lymphocyte ratio(NLR),C-reactive protein(CRP).Changes and correlations between different body mass indexes(BMI)and inflammatory factors,insulin resistance and blood lipid indices were compared.Statistical analysis: Statistical analysis software SPSS 23.0 was used for statistical analysis of the data.Count data were described as frequencies and percentages,and pie charts were constructed;measurement data were described as means ± standard deviations,and independent samples t-tests were used to compare between groups,and differences were considered statistically significant at P<0.05.Data correlations were analysed using Pearson correlation analysis at P<0.05,and scatter plots were generated.Results:(1)Glucose metabolism in the two groups: 71(82.56%),12(13.95%)and 3(3.49%)cases of normal glucose tolerance,impaired fasting glucose and diabetes mellitus,respectively,in the control group;53(68.83%),18(23.38%)and 6(7.79%)cases of normal glucose tolerance,impaired fasting glucose and diabetes mellitus,respectively,among the participants who were overweight/obese.There was a significantly higher prevalence of impaired fasting glucose and diabetes mellitus in the overweight/obese group compared with the normal group.(2)Insulin resistance in both groups: IR was 53.99%(88/163)and NIR was 46.01%(75/163),of which 38.37%(33/86)of the control group had recombinant IR and 61.63%(53/86)had NIR;71.43%(55/77)of the overweight/obese group had IR and 28.57%(22/77)had NIR.28.57%(22/77),i.e.the IR in the overweight group was significantly greater than control group.(3)compared with the normal group,the overweight / obese / obese group,the fasting glucose and fasting insulin contents in the two groups were significantly higher than those in the normal group(3.81 ±1.78,2.20±0.95),while there was significant difference between the normal group and the normal group(5.68 ±0.79,5.37±0.66).The FINS of overweight / obese group was significantly higher than that of normal subjects.There was a significant correlation between insulin resistance index and body mass index(r=0.447,P<0.001;r=0.174,P<0.05;r=0.449,P<0.001).(4)Pearson’s linear correlation analysis showed that the TG,TC and LDL-C levels of the patients were higher than control group(3.86±0.78);TG(2.17±0.79)was higher than control group(1.57±0.73);HDL-C(1.76±0.57)was higher than overweight/obese group(1.32±0.35);LDL-C(3.07±0.86)was higher than control group(2.38 ± 0.74),with statistically significant differences(P < 0.05).TC and LDL-C levels were positively correlated with BMI(r=0.322,P<0.001;r=0.282,P<0.001;r=0.355,P<0.001),whereas HDL-C was negatively correlated with BMI(r=-0.354,P<0.001).(5)Neutrophils,lymphocytes,their receptors and C-reactive protein were detected in the two groups.NLR and CRP between the control group and the overweight/obese group of PCOS patients,the results showed that neutrophils in the overweight/obese group(4.04±0.99)was higher than control group(2.85 and 0.84);the absolute lymphocyte value in the overweight/obese group was significantly greater than control group(2.85 and 0.84);in the overweight/obese group,the lymphocyte(2.51±0.74)was greater than control group(2.17±0.58);The mean NLR for the overweight/obese group(1.73±0.60)was significantly greater than that for the control group(1.38±0.45);and CRP in the overweight/obese group(5.54 ±0.66)was found to be greater than control group(4.Pearson linear correlation analysis showed that the levels of neutrophils,lymphocytes,NLR,and CRP in patients were positively correlated with BMI(r=0.450,P<0.001;r=0.202,P<0.01;r=0.249,P<0.001;r=0.682,P<0.001).Conclusions:1.BMI in PCOS patients is closely related to disorders of glucolipid metabolism,and overweight/obese PCOS patients are more likely to develop disorders of glucolipid metabolism.2..BMI was positively correlated with HOMA-IR,and IR risk was significantly higher in patients with overweight/obese compared with those without obesity,suggesting that establishing a healthy lifestyle as early as possible and preventing complications is so important for patients.3.BMI is positively correlated with inflammatory factors,and the presence of a chronic low-grade inflammatory response in patients with PCOS has an integral role in the prevention of distant complications。In conclusion,overweight and obese women with PCOS are more likely to have glucose and lipid abnormalities,an elevated inflammatory status and a higher risk of long-term complications.
Keywords/Search Tags:Polycystic ovary syndrome, BMI, insulin resistance, Blood fat, Inflammatory factors
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