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The Analysis Of Related Influence Factors Of Comorbidities In Patients With Psoriasis

Posted on:2015-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:R ShiFull Text:PDF
GTID:2284330452493798Subject:Dermatology and venereology
Abstract/Summary:PDF Full Text Request
Objective To understand the associated with the intensity of rate andinfluencing factors of psoriasis and combined disease.To guide the clinician,therole of early diagnosis and the better treatment of psoriasis and it’scomorbidities,which will be improve the survivaling quality of patients.Methods In541cases of the patients with psoriasis admitted in thedermatological ward of The General Hospital of Ningxia Medical University fromFebruary2009to February2013.The data such as:gender,age,diseaseduration,onset place,subtype,family history,comorbidities,etc.were recorded.Weanalyzed how these factors influence psoriasis comorbidities by statisticalanalysis.Results (1)Of the541psoriasis patients,there were338males and203females,with a male:female ratio of1.66:1,The mean age of the patients was(41.50±15.74) years-old.The mean disease duration was (29.05±10.37) years.Themean age of the male was (42.74±14.88) years-old. The mean age of the famalewas (39.44±16.91) years-old.The peak age of initial onset was40-49ages for maleand18-29ages for female.(2)The most common subtype of psoriasis was pspriasisvulgaris (81.5%),generalized psoriasis arthropathica (2.8%),pustular psoriasis(10.7%),and psoriatic erythroderma (5.0%).(3)The head and upper limbs was themost common onset place.(4)82cases (15.16%) of the patients had a clear familyhistory,the mean age was (31.57±9.84years),was obviously earlier than the meanage of patients with negative family history(43.60±12.75years).(5)Psoriatics complicated with hyperlipemia54.3%,metabolic syndrome39.2%, the digestivesystem diseases25.3%, all kinds of infections24.2%, hyperuricemia13.7%,hypertension12.9%, other dermatosis10.2%, diabetes8.7%, autoimmunedisease7.0%,coronary heart disease5.9%, urinary system diseases5.2%, tumors3.7%,stroke1.7%.(6)Psoriasis patients with diabetes mellitus and without diabetesmellitus was no significant difference in gender, subtype,was significantdifference in age,disease duration.Hyperlipidemia:no significant difference indisease duration,subtype,significant difference in gender, age.Hypertension:nosignificant difference in gender,disease duration,subtype,significant difference inage.Metabolic syndrome:no significant difference in subtype,significant differencein age,gender,disease duration.Hyperuricemia no significant difference in diseaseduration,subtype,significant difference in age,gender.(7)The multivariate logisticregression analysis results:Age,hyperlipidemia,metabolic syndrome were associatewith significant influence factors for psoriasis with diabetes mellitus.Gender,metabolic syndrome,diabetes mellitus were associate with significantinfluence factors for psoriasis with hyperlipidemia.Age,hyperlipidemia,metabolicsyndrome were associate with significant influence factors for psoriasis withhypertension.Age,hyperlipidemia,diabetes mellitus,hypertension,hyperuricemiawere associate with significant influence factors for psoriasis with metabolicsyndrome.Gender,metabolic syndrome were associate with significant influencefactors for psoriasis with hyperuricemia.Conclusion (1)Psoriasis among young men.The most common subtype ofpsoriasis was pspriasis vulgaris. The head and upper limbs was the most commononset place.The mean age of psoriasis patients with family history was obviouslyearlier than the mean age of psoriasis patients with negative familyhistory.(2)Psoriasis patients had a tendency to accompany with other comorbidities,including hyperlipemia,metabolic syndrome, the digestive systemdiseases,all kinds of infections, hyperuricemia, other dermatosis, diabetes,autoimmune disease and so on.(3)Using multiple logistic regression analysisresults:psoriasis may not only is a skin-deep disease,is more likely for a systemicdisease.
Keywords/Search Tags:Psoriasis, Comorbidities, Related influence factors, Multi-factor logistic regression analysis
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