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1.
Journal of Chinese Physician ; (12): 392-395, 2019.
Article in Chinese | WPRIM | ID: wpr-744884

ABSTRACT

Objective To discuss the treatment program and experience of " 4P" theory in the treatment of severe infection wounds of perineum.Methods Retrospective analysis of 123 cases of severe infection wounds of perineum in our hospital from March 2016 to February 2018.Following the "4P" theory (T wound debridement-preparation,I prevention and treatment of infection-protection,M dry-wet balanceprogress,E wound edge management-promotion),personalized treatment program was implemented to ensure the normal physiological activities of patients while closing the wound and promoting wound healing.Results There was no death and no serious complications.All the patients were discharged from the hospital after the wound healed well.Wound healing time was (10.37 ±3.25)days.The follow-up time was 2 to 10 months,the median follow-up was 6 months.The recurrence occurred in 3 case and chronic pain in 5 cases during the follow-up.Conclusions According to the main factors affecting wound healing,"4P Theory" can protect the wound to the maximum extent and is safe and effective in the treatment of severe infection of perineal wound.

2.
Chinese Journal of Burns ; (6): 486-490, 2017.
Article in Chinese | WPRIM | ID: wpr-809128

ABSTRACT

Objective@#To explore the risk factors of diabetic foot ulcer (DFU) in diabetic patients of Uyghur nationality and Han nationality in the Xinjiang Uygur Autonomous Region.@*Methods@#Clinical data of 640 diabetic patients admitted to our ward from January 2015 to November 2016, conforming to the study criteria, were retrospectively analyzed. Patients were divided into DFU group (n=403) and non-DFU group (n=237) according to whether DFU occurred or not. The data of gender, age, nationality, body mass index (BMI), smoking, drinking, binge eating, triglyceride (TG), total cholesterol (TC), and high-density lipoprotein (HDL) of patients between two groups were compared with chi-square test and t test. Indexes with statistically significant differences between two groups were selected, and they were processed with non-conditional multivariate logistic regression analysis to screen the independent risk factors of DFU. The possible risk factors of DFU of patients of Uyghur nationality and Han nationality were further processed with non-conditional multivariate logistic regression analysis respectively to screen the independent risk factors of DFU of patients of Uyghur nationality and Han nationality.@*Results@#(1) There were no statistically significant differences in gender, age, TC, and HDL of patients between two groups (with χ2=0.149, t values respectively 1.163, 1.033, and 1.026, P values above 0.05). There were statistically significant differences in nationality, BMI, smoking, drinking, binge eating, and TG of patients between two groups (with χ2 values from 4.778 to 13.694, t values respectively 4.703 and 4.237, P<0.05 or P<0.01). (2) Nationality, BMI, smoking, drinking, binge eating, and TG were the independent risk factors of DFU(with odds ratios respectively 1.488, 1.527, 1.736, 1.738, 1.382, and 1.648, 95% confidence intervals respectively 1.315-3.175, 1.488-4.393, 1.834-4.675, 1.474-2.695, 1.342-4.678, and 1.105-6.747, P values below 0.05). (3) Smoking, drinking, binge eating, and TG were the independent risk factors of DFU in diabetic patients of Uyghur nationality (with odds ratios respectively 1.673, 1.387, 1.328, and 1.486, 95% confidence intervals respectively 1.384-1.765, 1.414-1.659, 1.423-1.687, and 1.150-1.670, P values below 0.05). BMI, smoking, and drinking were the independent risk factors of DFU in diabetic patients of Han nationality (with odds ratios respectively 2.442, 1.604, and 1.251, 95% confidence intervals respectively 2.223-2.699, 1.268-2.028, and 1.164-1.344, P<0.05 or P<0.01).@*Conclusions@#Smoking, drinking, binge eating, and TG were the independent risk factors of DFU in diabetic patients of Uyghur nationality. BMI, smoking, and drinking were the independent risk factors of DFU in diabetic patients of Han nationality.

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