Iranian joint registry (iranian national hip and knee arthroplasty registry)

Periodic evaluation and monitoring the health and economic outcome of joint replacement surgery is a common and popular process under the territory of joint registries in many countries. In this article we introduce the methodology used for the foundation of the National Iranian Joint Registry (IJR) with a joint collaboration of the Social Security Organization (SSO) and academic research departments considering the requirements of the Iran's Ministry of Health and Education. ©BY THE ARCHIVES OF BONE AND JOINT SURGERY

Iranian joint registry (iranian national hip and knee arthroplasty registry)

Periodic evaluation and monitoring the health and economic outcome of joint replacement surgery is a common and popular process under the territory of joint registries in many countries. In this article we introduce the methodology used for the foundation of the National Iranian Joint Registry (IJR) with a joint collaboration of the Social Security Organization (SSO) and academic research departments considering the requirements of the Iran's Ministry of Health and Education. ©BY THE ARCHIVES OF BONE AND JOINT SURGERY

Improved Forecasts for uncertain and unpredictable Spare Parts Demand in Business Aircraft's with Bootstrap Method

cited By 0International audienceThe supply chain performance depends on accurate demand forecasting. This becomes more critical when it comes to non-contract spare parts service supply chains. This is because of the fact that customers are not obliged to place an order for the required spare parts to its Original Equipment Manufacturer (OEM) due to the availability of multiple suppliers. The business aircraft spare parts supply chains are the ones most affected by this phenomenon because their travel pattern and usage is totally unpredictable in comparison with passenger airline carriers. These highly uncertain and unpredictable demands and subsequent inaccurate forecasts have severe financial consequences. It is also computationally expensive to predict demand forecast for each part due to huge number of spare parts in business aircraft's supply chain. Hence, in this paper the objective is to investigate forecasting methods, their variants and artificial intelligence (AI) methods, developed for irregular demands, to propose best method variant that is capable of accurately forecasting not only uncertain but unpredictable demand e.g. business aircraft's spare parts supply chain. We retained Boot Strapping (BS) method as the most suitable base method for uncertain and unpredictable demand forecasting. This is because of its inherent ability to reduce error due to resampling with replacement. The point and interval (existing), and sliding window (proposed) BS methods are implemented in Matlab and results of demand forecasts are compared with the forecasts generated from benchmarked existing forecasting methods as: Croston, Croston variants (SBJ, SNB, TSB), moving average (MA), single exponential smoothening (SES) and Commercial (proprietary black box) methods. The data used in this study is collected from Dassault Aviation. The results demonstrate that proposed sliding windows BS variant with ‘Mean’ function outperformed 75% of the spare parts with significant financial gains in terms of inventory holding and shortage costs. © 201

Contralateral and siblings� knees are at higher risk of ACL tear for patients with a positive history of ACL tear

Purpose: Recent studies have shown that several genetic factors can cause susceptibility to anterior cruciate ligament (ACL) rupture. The aim of the present study was to evaluate certain underlying factors that increase the risk of ACL rupture. Methods: Eight hundred thirty-six patients with ACL rupture who underwent ACL reconstructive surgery from 2010 to 2013 at an academic center completed a minimum of 5 years post-operation follow-up. The collected variables included sex, age, height, weight, exercise level, time interval between ACL rupture in the first knee and contralateral ACL rupture, dominant leg, side of the involved knee and sibling history of ACL rupture. Results: The median follow-up duration was 6.5 (range: 5�8) years. Eighty-three patients (9.9) had a contralateral ACL rupture, and 155 patients (18.5) had siblings with a history of ACL rupture. The rate of contralateral ACL rupture was three times higher in women than in men and in patients with siblings with a history of ACL rupture than in those without such history. In addition, the risk of contralateral ACL rupture was higher in those younger than 30 years of age, those with a BMI of 20�25 kg/m2 and those who participated in regular sports activity. However, whether the involved knee was on the dominant or nondominant side had no effect on the incidence of contralateral ACL rupture. The results of the study showed that 69 (83.1) of the contralateral ACL ruptures occurred within the first 2 years after the primary operation. Conclusion: In a 5- to 8-year follow-up, one out of every ten patients had a contralateral ACL rupture, and two out of every ten patients had siblings with a history of ACL rupture. The findings suggest that having a sibling with a history of ACL rupture and being female are important risk factors for ACL rupture of the contralateral knee. Level of evidence: III. © 2019, European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA)