| Objectives1. To research the comorbidity relationship among osteoarthritis (OA), metabolic syndrome (MetS) and its components.2. To evaluate the frequency of comorbidities in OA patients and analyze their impacts on pain, mental condition and knee function of those patients.3. To investigate the risk factors of MetS and its components on primary OA, study the viable complementary treatment options, and provide prevention strategies for OA and cardiovascular and cerebrovascular diseases.MethodsThis project was a cross-sectional study on the basis of OA patients hospitalized in orthopedics and control group from Health Management Center at the Second Xiangya Hospital of Central South University. In order to reduce the interference of the age and gender factors, the normal subjects of age and gender matched to the experimental group were collected as the control group. The survey was conducted from October2013to March2014. The clinical datas, results of biochemical tests and laboratory examinations were collected using a unified questionnaire, and a total of151subjects (70case group and81control group) were included under the survey. Using the Epidata3.1software for data entry, the general demographic characteristics were analyzed using SPSS19.0software. Using chi-square test to investigate their effects on OA. The VAS scores%HAMD scores and HSS scores of OA patients were assessed using rank sum test in experimental group who had metabolic diseases. Finally, meaningful variables were selected using Binary Logistic regression model, then analysis the impacts of possible risk factors on OA.Results1. In the case group and control group members coexistence with metabolic disorders ratio:hypertension (71.43%VS43.21%), dyslipidemia (64.29%VS37.04%), hyperglycaemia (24.29%VS25.93%), overweight and obesity (77.14%VS44.44%), may positive screening for depression (41.43%VS0), positive screening for depression (1.43%VS0). Suffering from a metabolic disease (11.43%VS35.80%), two kinds of metabolic diseases (35.71%VS29.63%), three kinds of metabolic diseases (35.71%VS11.11%), four kinds of metabolic disorders (11.43%VS3.70%).2. After matching the age and sex of all the subjects, the impacts of their differences on OA was not statistically significant(p>0.05). The impacts of the difference in personal habits (smoking and drinking) on OA was not statistically significant(p>0.05). However, after controlling the possible confounding factors, female was more likely to be a risk factor than male for OA(OR=3.256, p=0.041).3. The comorbidities in all the subjects, including the classification of hypertension, obesity (BMI and waist circumference:WC), lipid metabolism, its indicators (TC,HDL-C) and the number of metabolic comorbidities could affect the presence and development of OA, and the difference was statistically significant (p<0.05). However, the impacts of the differences in glucose and lipid metabolism indicators, such as TG,LDL-C levels on OA was not statistically significant(p>0.05).4. The comorbidities in all the subjects, including hypertension, hyperglycaemia, obesity, dyslipidemia and the increased number of metabolic comorbidities could increase the VAS pain scores, depression scores (excluding BMI) and decrease the HSS knee scores(p<0.05).5. After controlling other confounding factors, the research variables including female(OR=3.256, P=0.041), hypertension(p=0.026<0.05), lower HDL-C level (OR=4.584, p=0.012)and the number of metabolic comorbidities were the main risk factors for OA(p=0.001<0.05)Conclusions1.The group of OA patients showed a high frequency of depression, me-tabolic syndrome and its components in isolation, such as hypertension, obesity and dyslipidemia, and have obvious impacts on the occurrence and development of OA,which can impact the pain,mental condition and knee function of those patients.2. The adequate control of each of those metabolic disease and referral to a specialist can help with the OA prevention and treatment, besides improve the quality of life of OA patients. |
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