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Background: The incidence of cervical spine fractures is increasing every day, causing a huge burden on society. This study aimed to develop and verify a nomogram to predict the in-hospital mortality of patients with cervical spine fractures without spinal cord injury. This could help clinicians understand the clinical outcome of such patients at an early stage and make appropriate decisions to improve their prognosis. Methods: This study included 394 patients with cervical spine fractures from the Medical Information Mart for Intensive Care III database, and 40 clinical indicators of each patient on the first day of admission to the intensive care unit were collected. The independent risk factors were screened using the Least Absolute Shrinkage and Selection Operator regression analysis method, a multi-factor logistic regression model was established, nomograms were developed, and internal validation was performed. A receiver operating characteristic (ROC) curve was drawn, and the area under the ROC curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated to evaluate the discrimination of the model. Moreover, the consistency between the actual probability and predicted probability was reflected using the calibration curve and Hosmer–Lemeshow (HL) test. A decision curve analysis (DCA) was performed, and the nomogram was compared with the scoring system commonly used in clinical practice to evaluate the clinical net benefit. Results: The nomogram indicators included the systolic blood pressure, oxygen saturation, respiratory rate, bicarbonate, and simplified acute physiology score (SAPS) II. The results showed that our model had satisfactory predictive ability, with an AUC of 0.907 (95% confidence interval [CI] = 0.853–0.961) and 0.856 (95% CI = 0.746–0.967) in the training set and validation set, respectively. Compared with the SAPS-II system, the NRI values of the training and validation sets of our model were 0.543 (95% CI = 0.147–0.940) and 0.784 (95% CI = 0.282–1.286), respectively. The IDI values of the training and validation sets were 0.064 (95% CI = 0.004–0.123; P = 0.037) and 0.103 (95% CI = 0.002–0.203; P = 0.046), respectively. The calibration plot and HL test results confirmed that our model prediction results showed good agreement with the actual results, where the HL test values of the training and validation sets were P = 0.8 and P = 0.95, respectively. The DCA curve revealed that our model had better clinical net benefit than the SAPS-II system. Conclusion: We explored the in-hospital mortality of patients with cervical spine fractures without spinal cord injury and constructed a nomogram to predict their prognosis. This could help doctors assess the patient's status and implement interventions to improve prognosis accordingly. [ABSTRACT FROM AUTHOR]

Background: In order to solve the problem of "expensive medical treatment and difficult medical treatment" for patients and improve the equity of medical services, China started the health-care reform in 2009, and proposed ambitious goals of providing fair and high-quality basic medical and health services to all citizens and reducing economic burden of diseases. This study was to systematically explore the association between population economic status and incidence of catastrophic health expenditures (CHE) in mainland China in the last decade since 2009 health reform.Methods: This systematic review was reported according to the standard of preferred reporting items for systematic reviews and meta-analyses (PRISMA). We systematically searched Chinese Electronic literature Database of China Journal Full Text Database, Chinese Biomedical Journal Database, Wan fang Data Resource System, VIP Database, and English literature databases of PubMed, SCI, EMbase and Cochrane Library from January 2000 to June 2020, and references of included studies. Two reviewers independently selected all reports from 2000 to 2020 for empirical studies of CHE in mainland China, extracted data and evaluated the quality of the study. We conducted meta-analysis of the incidence of CHE and subgroup analysis according to the time of the study and the economic characteristics of residents.Results: Four thousand eight hundred seventy-four records were retrieved and eventually 47 studies with 151,911 participants were included. The quality scores of most of studies were beyond 4 points (91.49%). The pooled incidence of CHE of Chinese residents in the last two decades was 23.3% (95% CI: 21.1 to 25.6%). The CHE incidence increased from 2000 to 2017, then decreased over time from 2017 to 2020. From 2000 to 2020, the CHE incidence in rural areas was 25.0% (95% CI: 20.9 to 29.1%) compared to urban 20.9% (95% CI: 18.3 to 23.4%); the CHE incidence in eastern, central and western China was 25.0% (95% CI: 19.2 to 30.8%), 25.4% (95% CI: 18.4 to 32.3%), and 23.1% (95% CI: 17.9 to 28.2%), respectively; the CHE incidence was 30.9% (95% CI: 22.4 to 39.5%), 20.3% (95% CI: 17.0 to 23.6%), 19.9% (95% CI: 15.6 to 24.1%), and 23.7% (95% CI: 18.0 to 29.3%) in poverty group, low-income group, middle-income group, and high-income group, respectively.Conclusions: In the past two decade, the incidence of CHE in rural areas is higher than that of urban residents; higher in central areas than in eastern, western and other regions; in poverty households than in low-income, middle-income and high-income regions. Further measures should be taken to reduce the incidence of CHE in susceptible people. [ABSTRACT FROM AUTHOR]

The patella is an uncommon location for cancerous occurrence and development. The majority of tumors of the patella are benign, with a significant incidence of giant cell tumors and chondroblastoma. With the development of modern diagnostic technologies, there appear however many other histological types which raise challenges of diagnosis and treatment. In this article, we review the reported histological types of primary patellar tumors. Specifically, epidemiology, symptomatology, imageology, histopathology, and treatment options for these histological lesions will be discussed, respectively. As there is an increasing focus on the diagnosis and the treatment of these lesions, the availability of the integrated information about primary patellar tumors becomes more significant.