Objective To systematically review the efficacy of oxygen therapy for diabetic foot ulcers (DFUs). MethodsThe PubMed, Embase, Cochrane Library, CNKI, WanFang Data, and VIP databases were electronically searched to collect randomized controlled trials (RCT) on the efficacy of different oxygen therapies for DFUs from inception to April 1, 2024. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Statistical analysis was performed using R software, and GraphPad Prism was used for graphical representations. ResultsA total of 61 RCTs involving 4 306 DFUs cases were included in the analysis. The oxygen therapies examined primarily included hyperbaric oxygen, topical oxygen, and ozone therapy. The surface under the cumulative ranking curve (SUCRA) indicated that hyperbaric oxygen therapy ranked highest for healing rate, area reduction rate, and healing time (SUCRA values were 0.957, 0.868, and 0.869, respectively). However, hyperbaric oxygen therapy also ranked higher for amputation rate and adverse events (SUCRA values were 0.616 and 0.718, respectively). Further subgroup analysis revealed that hyperbaric oxygen therapy maintained the highest ranking in area reduction rate across subgroups defined by publication language and treatment duration. ConclusionHyperbaric oxygen therapy shows advantages in terms of healing rate, area reduction rate, and healing time for DFUs, but it is also associated with higher amputation rates and adverse events. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
Objective To investigate the medical charge of in-patients with diabetes and its influencing factors for effective hospital costs controlling. Methods The inpatients with diabetes (the first diagnosis was diabetes; the first three ICD-10 codes of which were between E10 to E14) in Fifth Peoples' Hospital of Chengdu during January to September of 2014 were analyzed for their hospital costs with descriptive statistical method, ANOVA and multiple linear regression method. Statistical analysis was conducted by using SPSS 18.0 software. Results A total of 1 389 cases of diabetes were included. The median of total medical costs and daily costs were 4 554.45 yuan and 446.46 yuan, respectively. The differences of total medical costs and daily costs between diabetes patients with different amount of complications were statistically significant (P<0.001). The factors including age, the way of the medical expense, the number of complications, with acute complications, CCI score and the hospital-stay length were proved to be significantly correlated to total medical costs of diabetes inpatients (P<0.05). Conclusion Age, the way of the medical expense, the number of complications, with acute complications, CCI score and the hospital-stay length are influence factors of medical costs of diabetes inpatients.