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A. Chitul, A.M. Voiosu, Mădălina Marinescu, Simona Caraiola, Adriana Nicolau, Georgeta Camelia Badea, Magda Ileana Pârvu, R. A. Ionescu, B. R. Mateescu, M. R. Voiosu, C. R. Băicuş and M. Rimbaş

.A., LEGNANI P., LEWIS B.S. Development of a capsule endoscopy scoring index for small bowel mucosal inflammatory change . Aliment Pharmacol Ther. 2008; 27( 2 ):146-54. 20. ORLANDO A., RENNA S., PERRICONE G., COTTONE M. Gastrointestinal lesions associated with spondyloarthropathies . World J Gastroenterol. 2009; 15( 20 ):2443-8. 21. DE KEYSER F., BAETEN D., VAN DEN BOSCH F., DE VOS M., CUVELIER C., MIELANTS H., et al . Gut inflammation and spondyloarthropathies . Curr Rheumatol Rep. 2002; 4( 6 ):525-32. 22. MIELANTS H., DE KEYSER F., BAETEN D., VAN DEN

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Ewa Witkowska

References Brand, C. R. (1987). Bryter still and Bryter? Nature, 328, 110. Brouwers, S.A., Van de Vijver, F.J.R., Van Hemert, D.A. (2009). Variation in Raven’s Progressive Matrices scores across time and place. Learning and Individual Differences, 19, 330-338. Cicchetti, D. & Valentino, K. (2006). An ecological-transactional perspective on child maltreatment. In D. Cicchetti & D.J. Cohen (Eds.), Developmental psychopathology (2nd edition): Vol. 3. Risk, disorder, and adaptation (pp. 129-201). Hoboken, NJ: John

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Snežana Jovičić

of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 2003; 24: 987-1003. European Society of Cardiology. HeartScore Programme the interactive tool for predicting and managing the risk of heart attack and stroke in Europe. http://www.escardio.org/knowledge/decision_tools/heartscore/ Topol EJ, Lauer MS. The rudimentary phase of personalised medicine: coronary risk scores. Lancet 2003; 362: 1776-7. Zamaklar M. Konsenzus konferencija o promeni referentnih vrednosti

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Nicoleta Dumitru, Mara Carsote, Andra Cocolos, Eugenia Petrova, Maria Olaru, Andra Caragheorgheopol, Constantin Dumitrache and Adina Ghemigian

ML. Effect of type 2 diabetes-related non-enzymatic glycation on bone biomechanical properties . Bone. 2016; 82 :21-27. 19. SUNDARARAGHAVAN V, MAZUR MM, EVANS B, LIU J, EBRAHEIM NA. Diabetes and bone health: latest evidence and clinical implications . Therapeutic Advances in Musculoskeletal Disease. (2017); 9 (3):67-74. 20. DUMITRU N., CARSOTE M., COCOLOS A., GHEMIGIAN A. Glucose metabolism indices and Trabecular Bone Score in type 2 diabetes mellitus women . 4th International Conference on Interdisciplinary Management of Diabetes Mellitus and its

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Iwona Dębińska, Katarzyna Smolińska, Jakub Osiniak and Piotr Paluszkiewicz

complications after pancreaticoduodenectomy in a high volume centre: results on 150 consecutive patients. Dig Surg 2001; 18: 453-57. Muscari F, Suc B, Kirzin S et al.: Risk factors for mortality and intra-abdominal complications after pancreatoduodenectomy: multivariate analysis in 300 patients. Surgery 2006; 139: 591-98. Copeland GP, Jones D, Walters M. POSSUM: a scoring system for surgical audit. Br J Surg 1991; 78: 355-60. Whiteley MS, Prytherch DR, Higgins B et al.: An evaluation of the

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Herbert Djiambou-Nganjeu

Introduction Liver cir rhosis (LC) is a common gastroenterological pathology among adults. Its aetiological factors are: alcohol abuse, hepatitis B infection, hepatitis C infection, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis and others.[ 1 , 2 ] Cirrhosis with multiple-aetiologies are more susceptible of developing multiple organ failures, predominantly kidney, brain, heart and others.[ 1 , 3 ] This disease can be classified using several methods and these cases will be focusing on Halstead-Reitan and Child-Pugh score classification

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Dimitrios Velissaris, Nikolaos-Dimitrios Pantzaris, Panagiotis Bountouris and Charalampos Gogos

REFERENCES 1. STEVENSON EK, RUBENSTEIN AR, RADIN GT, WIENER RS, WALKEY AJ. Two decades of mortality trends among patients with severe sepsis: a comparative meta-analysis *. Crit Care Med 2014; 42 : 625-31. 2. KNAUS WA, DRAPER EA, WAGNER DP, ZIMMERMAN JE. APACHE II: a severity of disease classification system . Crit Care Med 1985; 13 : 818-29. 3. VINCENT JL, MORENO R, TAKALA J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of

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Paweł Linek, Edward Saulicz, Andrzej Myśliwiec, Monika Wójtowicz and Tomasz Wolny

evaluating motor control through functional movement and dynamic coordination analysis ( Cook et al., 2006a , b ). The FMS has also been used as an injury prediction tool in competitive athletes. Recent studies have shown that athletes with an FMS score under 14 were more likely to sustain an injury than their peers who received more than 14 points ( Kiesel et al., 2007 , 2011 ; Chorba et al., 2010 ). Another study has shown that, regardless of the score obtained in the FMS test, asymmetry in movements pointed to a more than 2-fold higher risk of injury ( Kiesel et al

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Darie Moldovan and Mircea Moca

References [1] Tobin, J: A General Equilibrium Approach To Monetary Theory. Journal of Money, Credit and Banking (1) pp.15–29 (1969) [2] Altman, E. I., Saunders, A.: Credit risk measurement: Developments over the last 20 years. Journal of banking & finance, 21(11), pp. 1721-1742 (1997). [3] Weimin Chen, Guocheng Xiang, Youjin Liu, Kexi Wang, Credit risk Evaluation by hybrid data mining technique, Systems Engineering Procedia, 3 (2012) [4] Kambal, E.; Osman, I.; Taha, M.; Mohammed, N.; Mohammed, S. Credit scoring using data mining

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Rudin Domi

References Nath G, Sekar M. Predicting difficult intubation - a comprehensive scoring system. Anaesth Intensive Care. 1997;25(5):482-6. PMID:9352759 el-Ganzouri AR, McCarthy RJ, Tuman KJ, Tanck EN, Ivankovich AD. Preoperative airway assessment. Predictive value of a multivariate risk index. Anesth Analg. 1996;82(6):1197-1204. PMID:8638791 Karkouti K, Rose DK, Wigglesworth D, Cohen MM. Predicting difficult intubation: a multivariable analysis. Can J Anaesth. 2000