ABSTRACT
Background: The current flows of the SSN represent the set of interest whose interconnection alone justifies the current study. These flows can be interconnected with other sources, institutional or otherwise, in order to answer well-defined questions. Objective: The objective of the study is to verify, through the analysis of administrative databases, any differences in the consumption of health resources between biological off-patent originator drugs and biosimilars in real clinical practice, with particular reference to the rheumatology area. Methods: Through the use of assisted databases (BDA) of ATS Pavia we evaluated the differences in terms of consumption of health resources related to the different drugs under analysis. Annual and daily costs were calculated by total patient cost, stratified for different treatments, considering the sum of total costs for the prescriptions of drugs subject to the analysis. Another objective was to evaluate the adherence of the drugs of interest, by utilizing specific indicators (MPR). Results: A total of 145 patients were analyzed. Among enrolled patients, 26.9% of users were treated with a biosimilar drug, while 73.1% with a biologic originator. Adherence is higher if it is considered the population treated with biosimilar drugs (82.1%). Total cost (including drug prescriptions, hospitalizations, outpatient services, tests for any cause) during the observation period of 1 year is 14,274.08. 87.7% of the total is attributable to drugs. Non-hospitalized patients are the least expensive, whether they were treated with biologics or biosimilars. Conclusion: In our sample, biosimilar drugs tend to be underused: the treatment of a patient with a chronic autoimmune disease is a clinical process that involves many health professionals, and a criticality could also derive from the difficult communication between the various professional figures who get involved with the whole patient treatment.
ABSTRACT
PURPOSE: Abnormal joint biomechanics and poor neuromuscular control are modifiable risk factors for Anterior Cruciate Ligament (ACL) injury. Although 3D motion capture is the gold standard for the biomechanical evaluation of high-speed multidirectional movements, 2D video analysis is a growing-interest alternative because of its higher cost-effectiveness and interpretability. The aim of the present study was to explore the possible association between a 2D evaluation of a 90° change of direction (COD) and the KAM measured with gold standard 3D motion analysis. METHODS: Thirty-four competitive football (soccer) players (age 22.8 ± 4.1, 18 male and 16 females) were enrolled. Each athlete performed a series of pre-planned 90° COD at the maximum speed possible in a laboratory equipped with artificial turf. 3D motion analysis was recorded using 10 stereophotogrammetric cameras, a force platform, and three high-speed cameras. The 2D evaluation was performed through a scoring system based on the video analysis of frontal and sagittal plane joint kinematics. Five scoring criteria were adopted: limb stability (LS), pelvis stability (PS), trunk stability (TS), shock absorption (SA), and movement strategy (MS). For each criterion, a sub-score of 0/2 (non-adequate), 1/2 (partially adequate), or 2/2 (adequate) was attributed to the movement, based on objective measurements. The intra-rater and inter-rater reliability were calculated for each criterion and the total score. The Knee Abduction Moment (KAM) was extracted from the 3D motion analysis and grouped according to the results of the 2D evaluation. RESULTS: Excellent intra-rater reliability (ICC > 0.88) and good-to-excellent inter-rater reliability (ICC 0.68-0.92) were found. Significantly higher KAM was found for athletes obtaining a 0/2 score compared to those obtaining a 2/2 score in all the sub-criteria and the total score (20-47% higher, p < 0.05). The total score and the LS score showed the best discriminative power between the three groups. CONCLUSION: The 2D video-analysis scoring system here described was a simple and effective tool to discriminate athletes with high and low KAM in the assessment of a 90° COD and could be a potential method to identify athletes at high risk of non-contact ACL injury. LEVEL OF EVIDENCE: IV.
