Medication non‐adherence (NA) after allogeneic hematopoietic cell transplantation (allo‐HCT) can lead to serious complications. This study assesses NA in French adult and pediatric recipients and identifies factors associated with NA. In accordance with the EMERGE and STROBE guidelines, a cross sectional multicentric survey was conducted. We used a self‐reported questionnaire that was adapted to adults and pediatrics and that could provide a picture of all three phases of medication adherence: initiation, implementation, persistence. We enrolled 242 patients, 203 adults (mean age: 51 years old, 50.7% male) and 39 children (mean age: 9 years old, 56.4% female). Reported NA was estimated at about 75% in both populations, adults and pediatrics. In adults, the univariate analysis showed that patients less than 50 years old (P = 0.041), (i) treated with cyclosporine (P = 0.02), (ii) treated with valacyclovir/acyclovir (P = 0.016), and (iii) experiencing side effects (P = 0.009), were significantly more non‐adherent. In multivariate analysis, only recipient age was significantly associated to NA (P = 0.05). The limited size of the pediatric population did not allow us to draw any statistical conclusion about this population. To the best of our knowledge, this is the first study in France on NA in allo‐HCT recipients. Our results highlight the age factor as the only factor related to NA. Further studies are needed to confirm our observations and refine results in pediatric populations, currently most at risk of medication NA.

Background Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses. Objective This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM. Methods The OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract–transform–load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database. Results Seventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's “standardized clinical data” section, and three tables from the “standardized health system data” section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19–364). Conclusion Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.

The risk of postoperative pulmonary embolism has been reported to be highest during the first 5 weeks after surgery. However, how long the excess risk of postoperative pulmonary embolism persists remains unknown.OBJECTIVE To assess the duration and magnitude of the late postoperative risk of pulmonary embolism among cancer-free middle-aged patients by the type of surgery. DESIGN, SETTING, AND PARTICIPANTSCase-crossover analysis to compute the respective risks of pulmonary embolism after 6 types of surgery using data from a French national inpatient database, which covers a total of 203 million inpatient stays over an 8-year period between 2007 and 2014. Participants were cancer-free middle-aged adult patients (aged 45 to 64) with a diagnosis of a first pulmonary embolism.EXPOSURES Hospital admission for surgery. Surgical procedures were classified into 6 types:(1) vascular surgery, (2) gynecological surgery, (3) gastrointestinal surgery, (4) hip or knee replacement, (5) fractures, and (6) other orthopedic operations. MAIN OUTCOMES AND MEASURES Diagnosis of a first pulmonary embolism.RESULTS A total of 60 703 patients were included (35 766 [58.9%] male; mean [SD] age, 56.6 [6.0] years). The risk of postoperative pulmonary embolism was elevated for at least 12 weeks after all types of surgery and was highest during the immediate postoperative period (1 to 6 weeks). The excess risk of postoperative pulmonary embolism ranged from odds ratio (OR), 5.24 (95% CI, 3.91-7.01) for vascular surgery to OR, 8.34 (95% CI, 6.07-11.45) for surgery for fractures. The risk remained elevated from 7 to 12 weeks, with the OR ranging from 2.26 (95% CI, 1.81-2.82) for gastrointestinal operations to 4.23 (95% CI, 3.01-5.92) for surgery for fractures. The risk was not clinically significant beyond 18 weeks postsurgery for all types of procedures. CONCLUSIONS AND RELEVANCEThe risk of postoperative pulmonary embolism is elevated beyond 6 weeks postsurgery regardless of the type of procedure. The persistence of this excess risk suggests that further randomized clinical trials are required to evaluate whether the duration of postoperative prophylactic anticoagulation should be extended and to define the optimal duration of treatment with regard to both the thrombotic and bleeding risks.

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