Medial injuries of the clavicle: more prevalent than expected? A big data analysis of incidence, age, and gender distribution based on nationwide routine data

Title: Thrombocytopenia and Anemia among patients with Cerebral Palsy: A big-data analysis Introduction : The incidence of thrombocytopenia and anemia in patients with cerebral palsy (CP) is not well reported in the medical literature . Patients with CP, particularly those with the most severe phenotypes, may be repeatedly exposed to medications and infections associated with blood dyscrasias. The aim of this study was to assess the the prevalence of thrombocytopeniaand anemia in patients with CP comparing it to the general population. We also compared the prevalence of hospitalizations between patients with CP, with and without these blood dyscrasias. Methods: Utilizing a commercial database (Explorys Inc, IBM), we identified a cohort of patients diagnosed with CP based on the Systematized Nomenclature of Medicine-Clinical Terms. We calculated the overall prevalence rate of diagnosis of CP, described age, and gender-based prevalence rates of CP, and identified associated diagnoses of thrombocytopenia and anemia associated with CP. Explorys is a largereservoir of de-identified, HIPAA-compliant aggregated data of more than 63 million unique patients. First we compared the incidence of thrombocytopenia and anemia between patients with CP and the general population. To generate a cohort of patients representative of the general population, a cohort of patients with any coded disease was pooled except for CP. Moreover, relevant covariates including hospitalization, use of antiepileptic drugs (AED), infections, age, and gender were recorded and will be included in a multivariate analysis. We further sub-grouped patients with CP based on diagnoses of wheelchair dependency and AED exposure as markers of morbidity and risk for blood dyscrasias respectively. Results: We identified 49,492,350 unique patients of whom 93,850 were patients with CP. The prevalence of thrombocytopenia was higher in patients with CP than in the general population (Table 1; 4.91% vs 1.76%, RR 2.8, p<0.0000001). The same case was also noted for anemia (24,4% vs 11,4%, RR 2.1, p<0.0000001). When comparing the baseline characteristics of the two populations it seems that patients with CP are less aged compared to the general population (prevalence of patients >65 yoa , 53% vs 28%). Moreover, the infection rate in patient with CP surpasses that of the general population (infectious disease prevalence 93% vs 77%). On subgroup analysis, wheelchair dependence,AED exposure and any infectious process in patients with CP are risk factors for both anemia and thrombocytopenia. Nonetheless, an infectious process seems to be a stronger risk factor for both thrombocytopenia and anemia compared to AED exposure and wheelchair dependence (WD). More specifically the RR for thrombocytopenia in patients with CP is 7.4 compared to 4.8 and 2.4 for AED exposure and WD respectively. The same pattern is noticed for anemia (RR 4.7 vs 2.6 vs 1.8, p<0.001).Finally, we compared the total hospitalization rate in the past 5 years between patients with CP and with or withoutthrombocytopenia, anemia and cytopenia (defined as thrombocytopenia and anemia). Higher hospitalizations rates were found for patients with CP and with any of the above defined blood cell dyscrasias (Relative risk for hospitalization for patients with CP and thrombocytopenia/anemia/cytopenia vs without, RR 10/9/12.5, P<0.001). Discussion: Our study using large, aggregated data from Explorys demonstrates there is a higher prevalence of thrombocytopenia and anemia in patients with CP. In our cohort, patients with CP with thrombocytopenia and/or anemia were more likely to be hospitalized. Further research is needed to confirm this observed association and to clarify the mechanism of the relationship between CP and cytopenias. Disclosures Ahuja: Genentech: Consultancy, Honoraria; Sanofi Genzyme: Consultancy, Honoraria; XaTek, Inc.: Consultancy, Patents & Royalties, Research Funding.

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Dislocations of the acromioclavicular and sternoclavicular joint in children and adolescents: A retrospective clinical study and big data analysis of routine data

PLoS ONE ◽

10.1371/journal.pone.0244209 ◽

2020 ◽

Vol 15 (12) ◽

pp. e0244209

Author(s):

Ralf Kraus ◽

Joern Zwingmann ◽

Manfred Jablonski ◽

M. Sinan Bakir

Keyword(s):

Big Data ◽

Data Analysis ◽

Pediatric Trauma ◽

Routine Data ◽

Big Data Analysis ◽

Sternoclavicular Joint ◽

Specific Method ◽

Retrospective Clinical Study ◽

Dislocation Type

Background Dislocations of the sternoclavicular joint (anterior/posterior) and acromioclavicular joint (SCJ and ACJ, respectively) are rare injuries in childhood/adolescence, each having its own special characteristics. In posterior SCJ dislocation, the concomitant injuries in the upper mediastinum are most important complication, while in anterior SCJ dislocation there is a risk of permanent or recurrent instability. Methods In a retrospective analysis from seven pediatric trauma centers under the leadership of the Section of Pediatric Traumatology of the German Trauma Society, children (<18 years) were analyzed with focus on age, gender, trauma mechanism, diagnostics, treatment strategy and follow-up results. Additional epidemiological big data analysis from routine data was done. Results In total 24 cases with an average age of 14.4 years (23 boys, 1 girl) could be evaluated (7x ACJ dislocation type ≥ Rockwood III; 17x SCJ dislocation type Allman III, including 12 posterior). All ACJ dislocations were treated surgically. Postoperative immobilization lasted 3–6 weeks, after which a movement limit of 90 degrees was recommended until implant removal. Patients with SCJ dislocation were posterior dislocations in 75%, and 15 of 17 were treated surgically. One patient had a tendency toward sub-dislocation and another had a relapse. Conservatively treated injuries healed without complications. Compared to adults, SCJ injuries were equally rarely found in children (< 1% of clavicle-associated injuries), while pediatric ACJ dislocations were significantly less frequent (p<0.001). Conclusions In cases of SCJ dislocations, our cohort analysis confirmed both the heterogeneous spectrum of the treatment strategies in addition to the problems/complications based on previous literature. The indication for the operative or conservative approach and for the specific method is not standardized. In order to be able to create evidence-based standards, a prospective, multicenter-study with a sufficiently long follow-up time would be necessary due to the rarity of these injuries in children. The rarity was emphasized by our routine data analysis.

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Comparison of the Level of Familiarity of IT Units' Staff and students with Big Data Analyzes

10.21203/rs.2.22539/v1 ◽

2020 ◽

Author(s):

Elham Nazari ◽

Parnian Asgari ◽

hamed tabesh

Keyword(s):

Big Data ◽

Data Analysis ◽

Work Experience ◽

Rapid Development ◽

Big Data Analysis ◽

Individual Characteristics ◽

Scientific Study ◽

Level Of Knowledge ◽

And Gender ◽

Analytical Approaches

Abstract introduction The rapid development of technology in recent decades has led to the production of a huge amount of data. This type of data analysis that is called Big Data Analysis obtain Many benefits, including reducing costs. One of the challenges of these analyses is the lack of specialized expertise and knowledge in this area. The purpose of this study was to compare the familiarity of IT staff and students with big data analyzes at various universities and organizations. Materials and method This analytical study was conducted on IT units' staff and students of different organizations and universities in Mashhad, Iran. A questionnaire was designed based on reviewing the texts published in PubMed, google scholar, science direct, and EMBASE databases and using the Delphi method and the attendance of 10 specialists in different disciplines. The designed questionnaire evaluated the participants' knowledge about the Big Data analyzes in two parts. The participants were 265 IT units' staff and students of different organizations, completing the designed questionnaire. Participants' opinion was evaluated using two descriptive and analytical approaches. The relationship between knowledge scores and individual characteristics such as gender, age, work experience, Field of study, degree, the average number of hours’ scientific study and non-scientific study per week was examined. To investigate the synchronous and reciprocal effects GLM was used. Results Scores earned by students and staff were 2.66 ± 1.13 and 2.28 ± 1.21 respectively that p =. 012 represented a significant correlation between the level of knowledge of students and staff. In other words, the level of knowledge of staff about big data was more than the level of knowledge of the students.The correlation of each of the variables was not significant with the score of the Big Data Analysis Knowledge.But There was a significant correlation between experience and gender with the knowledge scores. Conclusions In general, the level of knowledge in analyzing big data in different groups of people was at a low level that implementing measures such as holding training courses in this field seems necessary.

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