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The Clinical Characteristic Analysis On 90 Diabetic Foot Cases

Posted on:2009-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:S H FengFull Text:PDF
GTID:2144360242499805Subject:Internal Medicine
Abstract/Summary:PDF Full Text Request
Objective To 1nvestigate the clinical characteristic of the diabetic foot, And the relations between clinical charaeteristies,abnormal metabolisms,chronic complications of diabetes mellitus and diabetic foot gangrene, Then the risk factors for diabetic foot were analyzed. The Protoeol for preventing and treating diabetic foot can be done. Methods 90 endoerine unit in Patients with diabetie foot in the first Hospital affiliated to Xin Jiang Medcial University from January, 2007 to January, 2008, were obserdved. Man 66 case,woman 24 case. According to the ranking of Wagner.Theses Patients were divided into gangrene group (n=53)and non-gangrene group(n=37). measurement data was used to analyze. Multiple stepwiseregression analysis was used to analyze the data with difference. The risk factors for diabetic foot were observed,including sex, age,the index of body weight(BMI), blood pressure(BP), ast blood glueose(FBG), post prandial bloodglueose(PBG), glyeatedhemoglobin(HbAlc), cholesterol(TC), triglyceride(TG), high density lipoprotein(HDL-C), low density lipoprotein(LDL-C), serumereatinine(Cr), blood uria nitrogen(BUN), history of cerebral infaretion, history of hypertension and smoking, coronary heart disease, diabetic neuropathy, diabetic nepphropathy, peripheral vaseular diseases. Results There were different between the two groups with triglyceride(TG) and albumin and fibrinogen signifieantly, triglyceride(TG) and albumin were lower in gangrene group, and fibrinogen was higher Multiple stepwiseregression analysis show, the gangrene of diabetie foot was signifieantly correlated with HbAlc, low-albumin?fibrinogen. Conclusion High HbAlc? low- albumin?High fibrinogen,High nitrogen are the risk factors for gangrene of diabe.
Keywords/Search Tags:diabetie foot, gangrene, risk factors, multiple Logistieregression analysis
PDF Full Text Request
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