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find Author "HAN Qian" 3 results
  • Risk factors for refractory mycoplasma pneumoniae pneumonia in children: a systematic review

    ObjectiveTo systematically review the risk factors of refractory mycoplasma pneumoniae pneumonia (RMPP) in children. MethodsPubMed, The Cochrane Library, EMbase, CNKI, CBM, VIP, and WanFang Data databases were electronically searched for case-control studies and cohort studies on the risk factors of RMPP in children from inception to March 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 software. ResultsA total of 27 case-control studies involving 3 967 children with RMPP and 11 613 children with common MPP were included. The results of meta-analysis showed that heat course (OR=2.07, 95%CI 1.98 to 2.16, P<0.000 01), length of hospital stay (OR=1.42, 95%CI 1.14 to 1.69, P<0.000 01), recurrent respiratory tract infection (OR=8.51, 95%CI 6.15 to 11.77, P<0.000 01), level of IL-6 (OR=21.95, 95%CI 20.85 to 23.06, P<0.000 01), level of CRP (OR=2.41, 95%CI 1.94 to 2.87, P<0.000 01), level of LDH (OR=0.79, 95%CI 0.53 to 1.06, P<0.000 01), level of ESR (OR=2.65, 95%CI 1.13 to 4.18, P=0.000 6), combined pleural effusion (OR=9.42, 95%CI 3.65 to 24.31, P<0.000 01), combined with extrapulmonary complications (OR=3.33, 95%CI 2.42 to 4.58, P<0.000 01), large lung consolidation (OR=12.31, 95%CI 5.42 to 27.99, P<0.000 01) were the risk factors for RMPP. ConclusionsCurrent evidence indicates that heat course, length of hospital stay, repeated respiratory tract infection, high level of IL-6, high level of CRP, high level of LDH, high level of ESR, combined pleural effusion, combined extrapulmonary complications, and large lung consolidation are risk factors for children with RMPP. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify the above conclusions.

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  • Predictive model for the risk of postpartum depression: a systematic review

    ObjectiveTo systematically evaluate postpartum depression risk prediction models in order to provide references for the construction, application and optimization of related prediction models. MethodsThe CNKI, VIP, WanFang Data, PubMed, Web of Science and EMbase were electronically searched to collect studies on predictive model for the risk of postpartum from January 2013 to April 2023. Two reviewers independently screened the literature, extracted data, and assessed the quality of the included studies based on PROBAST tool. ResultsA total of 10 studies, each study with 1 optimal model were evaluated. Common predictors included prenatal depression, age, smoking history, thyroid hormones and other factors. The area under the curve of the model was greater than 0.7, and the overall applicability was general. Overall high risk of bias and average applicability, mainly due to insufficient number of events in the analysis domain for the response variable, improper handling of missing data, screening of predictors based on univariate analysis, lack of model performance assessment, and consideration of model overfitting. ConclusionThe model is still in the development stage. The included model has good predictive performance and can help early identify people with high incidence of postpartum depression. However, the overall applicability of the model needs to be strengthened, a large sample, multi-center prospective clinical study should be carried out to construct the optimal risk prediction model of PPD, in order to identify and prevent PPD as soon as possible.

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  • Research progress of magnesium and magnesium alloy implants in sports medicine

    Objective To review the research progress of magnesium and magnesium alloy implants in the repair and reconstruction of sports injury. Methods Relevant literature of magnesium and magnesium alloys for sports injury repair and reconstruction was extensively reviewed. The characteristics of magnesium and its alloys and their applications in the repair and reconstruction of sports injuries across various anatomical sites were thoroughly discussed and summarized. Results Magnesium and magnesium alloys have advantages in mechanical properties, biosafety, and promoting tendon-bone interface healing. Many preclinical studies on magnesium and magnesium alloy implants for repairing and reconstructing sports injuries have yielded promising results. However, successful clinical translation still requires addressing issues related to mechanical strength and degradation behavior, where alloying and surface treatments offer feasible solutions. Conclusion The clinical translation of magnesium and magnesium alloy implants for repairing and reconstructing sports injuries holds promise. Subsequent efforts should focus on optimizing the mechanical strength and degradation behavior of magnesium and magnesium alloy implants. Conducting larger-scale biocompatibility testing and developing novel magnesium-containing implants represent new directions for future research.

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