Medicine
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Meta Analysis
Comorbidities' potential impacts on severe and non-severe patients with COVID-19: A systematic review and meta-analysis.
An ongoing outbreak of pneumonia associated with the severe acute respiratory coronavirus (SARS-CoV-2) emerged in December 2019 in Wuhan, China. Epidemiologic evidence suggests that patients with comorbidities and novel coronavirus disease 2019 (COVID-19) infection may have poor survival outcomes. However, the risk of these coexisting medical conditions in severe and non-severe cases has not been systematically reported. ⋯ This meta-analysis supports the finding that chronic comorbidities may contribute to severe outcome in patients with COVID-19. According to the findings of the present study, old age and 2 or more comorbidities are significantly impactful to COVID-19 outcomes in hospitalized patients in China.
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Drug-resistant epilepsy (DRE) affects 7% to 20% of children with epilepsy. Although some risk factors for DRE have been identified, the results have not been consistent. Moreover, data regarding the risk factors for epilepsy and its seizure outcome in the first 2 years of life are limited. ⋯ The pooled prevalence of these patients with genetic factors was 22.8% (95% CI 17.4-29.3). The genetic defect plays a crucial role in the development of DRE in younger children with epilepsy and neurodevelopmental disability. The results can serve as a reference for further studies of epilepsy panel design and may also assist in the development of improved treatments and prevention strategies for DRE.
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None of review has been conducted to compare the efficacy of interscalene blockade (ISB) with that of local infiltration analgesia (LIA) in patients undergoing total shoulder arthroplasty (TSA). We thus conduct a high-quality meta-analysis of randomized controlled trials (RCTs) to investigate which analgesic provides better pain relief. ⋯ Since this study is on the basis of published or registered RCTs, ethical approval and informed consent of patients are not required.
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Multicenter Study
The risk assessment model of fracture nonunion after intramedullary nailing for subtrochanteric femur fracture.
To investigate the influencing factors of fracture nonunion after intramedullary nailing for subtrochanteric fractures and to construct a risk assessment model. Based on the multicenter retrospective analysis of 251 patients, all patients were divided into modeling group and verification group. In the modeling group, postoperative fracture nonunion rate, general data, fracture-related factors, surgical reduction-related factors, mechanical and biological factors were calculated, and the influencing factors of fracture nonunion were screened by univariate analysis. ⋯ The goodness of fit test: the Hosmers-Lemeshow test (X2 = 2.921, P = .712 > .05) showed that the model had a good calibration. After intramedullary nailing of subtrochanteric fracture, hip varus, failure of intramedullary nail fixation and wide surgical dissection are the risk factors of fracture nonunion, and the postoperative reduction of medial cortex fracture is protective factor. National key research and development projects: 2016YFC0105806.
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Multicenter Study Observational Study
Correlation of autopsy pathological findings and imaging features from 9 fatal cases of COVID-19 pneumonia.
We aimed to investigate the relationship of radiological features and the corresponding pulmonary pathology of patients with Coronavirus Disease (COVID-19) pneumonia. In this multicenter study, serial chest CT and radiographic images from 9 patients (51-85 years old, 56% male) were reviewed and analyzed. Postmortem lungs were sampled and studied from these autopsies, with a special focus on several corresponding sites based on imaging features. ⋯ Fungal and bacterial co-infections were also observed in 6 cases. Typical imaging features can be correlated with underlying pathological findings. Combining assessments of imaging features with pathological findings therefore can enhance our understanding of the histopathological mechanism of COVID-19 pneumonia, and facilitate early radiological diagnosis and prognosis estimation of COVID-19 pneumonia, which has important implications for the development of clinical targeted treatments and research related to COVID-19 pneumonia.