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目的 观察三七生肌膏促进激光治疗雀斑术后创面愈合的临床疗效.方法 将96例在重庆市中医院美容科使用倍频Q开关Nd:YAG激光(532 nm)治疗雀斑的患者,随机平均分为3组,治疗组术后以三七生肌膏外涂,对照组术后喷洒壳聚糖长效抗菌敷料,空白组术后不采用任何辅助治疗措施.观察周期为15d.观察3组患者的术后创面疼痛消失时间以及创面愈合情况,随访痂皮脱落后色素沉着情况.结果 应用三七生肌膏治疗组的创面疼痛消失时间、愈合时间及色素沉着发生率较对照及空白组的差异均有统计学意义(P<0.05).结论 三七生肌膏能减轻激光治疗创面疼痛,促进创面愈合,并减少色素沉着. 相似文献
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A male, 62 years old, suffering from alopecia universalis, was treated with acupuncture. The treating principle was promoting qi and blood circulation. The selected acupoints included Băihuì (百会GV20), Tàiyáng (太阳EX-HN5), Fēngmén (风门BL12), Xīnshū(心俞BL15), Gānshū(肝俞BL18), Shènshū (肾俞BL23), etc. After treated for 3 months, the hair was grown normally and the hair on the scalp got black obviously. In the follow-up for 2 months, the hair on the body and scalp grew in good condition. 相似文献
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We analyzed haplotypes for 24 Y chromosomal STRs (Y-STRs), including 17 Yfiler loci (DYS19, DYS385a/b, DYS389I/II, DYS390, DYS391, DYS392, DYS393, DYS437, DY438, DYS439, DYS448, DYS456, DYS458, DYS635 and Y-GATA-H4) and 7 additional STRs (DYS388, DYS444, DYS447, DYS449, DYS522 and DYS527a/b) in 1100 unrelated Chinese Han individuals from Henan Province using AGCU Y24 STR kit systems. The calculated average gene diversity (GD) values ranged from 0.4105 to 0.9647 for the DYS388 and DYS385a/b loci, respectively. The discriminatory capacity (DC) was 72.91% with 802 observed haplotypes using 17 Yfiler loci, by the addition of 7 Y-STRs to the Yfiler system, the DC was increased to 79.09% while showing 870 observed haplotypes. Among the additional 7 Y-STRs, DYS449, DYS527a/b, DYS444 and DYS522 were major contributors to enhancing discrimination. In the analysis of molecular variance, the Henan Han population clustered with Han origin populations and showed significant differences from other Non-Han populations. In the present study, we report 24 Y-STR population data in Henan Han population, and we emphasize the need for adding additional markers to the commonly used 17 Yfiler loci to achieve more improved discriminatory capacity in a population with low genetic diversity. 相似文献
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《Journal of diabetes and its complications》2022,36(6):108200
ObjectivesWhen comorbid patients with diabetes have 30-days Unplanned Readmission (URA), they attract more burdens to the healthcare system due to increased cost of treatment, insurance penalties to hospitals, and unavailable bed spaces for new patients. This paper, therefore, aims to develop a risk stratification and a predictive model for identifying patients at various risk severities of 30-days URA.MethodsPatients records of comorbid patients with diabetes treated with different medications were collected from different hospitals and analysed with Principal Component Analysis (PCA) and Multivariate Logistic Regression (MLR) to determine the probability of 30-days URA, which is classified into very low, low, moderate, high, and very high. The risk classes are later modelled using ANOVA feature selection to identify the optimal predictors and the best random forest (RF) hyperparameters for 30-days URA risk stratification. Synthetic Minority Oversampling Technique (SMOTE) was used to balance the risk classes while employing a10-fold cross-validation.ResultsAfter analysing 17,933 episodes of comorbid diabetes patients' treatment, 10.71% are identified to have 30-days URA with 61.95% of patients at moderate risk, 35.5% at low risk, 2.25% at very low risk, 0.37% at high risk, and 0.08% at very high risk. The predictive accuracy of RF is: - recall: 0.947 ± 0.035, precision: 0.951 ± 0.033, F1-score: 0.947 ± 0.035, AUC: 0.994 ± 0.007 and Average Precision (AP) of 0.99. The predictive accuracies of the risk classes measured with F1-score are: - very low: 0.985 ± 0.019, low risk: 0.871 ± 0.079, moderate: 0.881 ± 0.093, high: 0.999 ± 0.003, and very high: 1.000 ± 0.00.ConclusionThis study identified the risk severity of comorbid patients with diabetes treated with different medications, making it easier to identify those that will be prioritized on hospitalization to minimize 30-days URA. By relying on the technique developed, vulnerable patients to 30-days URA can be given better post-discharge monitoring to build critical self-management skills that will minimize the cost of diabetes care and improve the quality of life. 相似文献
320.
《Academic radiology》2019,26(12):e341-e347