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References Alcorn, K., Gerrard, J., Macbeth, D. and Steele, M., 2013. Seasonal variation in health care-associated bloodstream infection: increase in the incidence of gram-negative bacteremia in nonhospitalized patients during summer. In: American Journal of Infection Control, Volume 41, Issue 12, pp. 1205-1208. DOI: http://dx.doi.org/10.1016/j.ajic.2013.05.019 Almendra, R., Santana, P., Vasconcelos, J. and Freire, E., 2015. Seasonal mortality patterns due to diseases of the circulatory system in Portugal. In: Geography, Environment, Sustainability, Volume 1

References 1. de Rooij SE, Abu-Hanna A, Levi M, de Jonge E. Factors that predict outcome of intensive care treatment in very elderly patients: a review. Crit Care 2005; 9: 307-314. doi: 10.1186/cc3536 2. Nguyen YL, Angus DC, Boumendil A, Guidet B. The challenge of admitting the very elderly to intensive care. Ann Intensive Care 2011; 1: 29. doi: 10.1186/2110-5820-1-29 3. Fuchs, L., Chronaki, CE, Park, S, Novack V, Baumfeld Y, Scott D, et al. ICU admission characteristics and mortality rates among elderly and very elderly patients. Intensive Care Med 2012; 38

. Rev Esp Cardiol (Engl Ed); pii: S1885-5857(18)30367-0. doi: 10.1016/j.rec.2018.08.014. 7. World Health Organizaton. The top 10 causes of death. (cited 2018, May 28); Available at: http://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death 8. Shpak V. (2013). Transversal Approach in the System of Specific SocialEducational Research Methodology. American Journal of Educational Research, 1 (11): 534-537. 9. Zheng H, Yang YC, Land KC. (2016). Age-Specific Variation in Adult Mortality Rates in Developed Countries. Popul Res Policy Rev; 35(1): 49-71. 10

References 1. Grigorie D, Sucaliuc A, Johansson H, Kanis JA, McCloskey E. Incidence of hip fracture in Romania and the development of a Romanian FRAX model. Calcif Tissue Int. 2013 May; 92(5):429-36. 2. Poiana C, Fica S. Endocrinologie pentru studenti si rezidenti, 2015, Bucuresti, 181-195. 3. Abrahamsen B, van Staa T, Ariely R, Olson M, Cooper C. Excess mortality following hip fracture: a systematic epidemiological review. Osteoporos Int. 2009 Oct; 20(10):1633-50. 4. Giannoulis D, Calori GM, Giannoudis PV. Thirty-day mortality after hip fractures: has anything

). Environmental effects on neonatal mortality of beef calves. J. Anim. Sci., 71: 282-290. Bicalho R.C., Galvao K. N., CheongS.H., Gilbert R.O., Warnick L.D., Guard C.L. (2007). Effect of stillbirth on dam’s survival and reproduction performance in Holstein dairy cows. J. Dairy Sci., 90: 2797-2803. Davis M.E., Haibel G.K. (1993). Use of real-time ultrasound to identify multiple foetuses in beef cattle. Theriogenology, 40: 373-382. Des Coteaux L., Gnemmi G., Colloton J. (2010). Practical atlas of ruminant and camelid reproductive ultrasonography. Blackwell Publishing, pp. 1

References Sample Registration System. Statistical Report - 1998 . New Delhi, India: Registrar General; 2000. Ramanakumar AV, Yeole BB. Assessing cancer burden in rural India: An Analysis by cause of death statistics. Asian Pac J Cancer Prev 2005; 6 : 221-3. Gupta RB, Rao GR. Effect of elimination of different causes of death on expectation of life-Bombay, 1960-61. Indian J Med Res 1973; 61 : 950-61. Kurkure AP, Yeole BB, Sunny L, Koyande SS. Cancer incidence and mortality in Greater Mumbai, 2001 . Mumbai, India: Indian Cancer Society: 2005. Municipal

–3. GENC, L. – PORTIER, K. 2003. Sensible and latent heat productions from broilers in laboratory conditions. In Turkish Journal of Veterinary and Animal Sciences, vol. 29, pp. 635–643. HALL, A. L. 2001. The effect of stocking density on the welfare and behaviour of broiler chickens reared commercially. In Animal Welfare, vol. 10, pp. 23–40. HEIER, B. T. – HOGASEN, H. R. – JARP, J. 2002. Factors associated with mortality in Norwegian broiler flocks. In Preventive Veterinary Medicine, vol. 53, pp. 147 –157. CHEPETE, H. J. – CHIMBOMBI, E. – TSHEKO, R. 2005. Production

, Jones M, Grenfel L, Zijlstra F, Akhras F, et al. Primary coronary angioplasty vs thrombolytic therapy for acute myocardial infarction: longterm follow-up of 10 randomized trials. Circulation. 1999;100(Suppl I):1499. 9. Lee KL, Woodlief LH, Topol EJ, Weaver WD, Betriu A, Col J, et al. Predictors of 30-day mortality in the era of reperfusion for acute myocardial infarction. Results from an international trial of 41,021 patients. GUSTO-I Investigators. Circulation. 1995;91(6):1659-68. 10. Grines CL, Browne KF, Marco J, Rothbaum D, Stone GW, O'Keefe J, et al. A comparison

References 1. Serafinceanu C . Boala renala diabetica. In: Tratat Roman de Boli Metabolice , vol. 2. Şerban V (ed). Brumar, Timisoara, pp 75-95, 2011. 2. Mattock MB, Morrish NJ, Viberti G, Keen H, Fitzgerald AP, Jackson G. Prospective study of microalbuminuria as predictor of mortality in NIDDM. Diabetes 41: 736-741, 1992. 3. Grant PJ, Davies JA. Cardiovascular diseases and diabetes. In: Textbook of Diabetes , 3rd ed, vol 2. Pickup JC, Williams G (eds). Blackwell Science, pp 56.1-56.24, 2003. 4. Cinghină C, Băcanu GS, Marinescu M et al . Afectarea cardiacă

. Endocrinol Metab Clin North Am 30: 817-831, 2001. 5. Patrascu T, Doran H, Catrina E, Buga C, Munteanu A, Serafinceanu C. Particularităţi ale chirurgiei la diabetici, Ed. Niculescu, Bucureşti, pp 109-124, 2005. 6. Chiasson JL, Aris-Jilwan N, Bélanger R et al. Diagnosis and treatment of diabetic ketoacidosis and the hyperglycemic hyperosmolar state. CMAJ 168: 859-866, 2003. 7. Noordzij PG, Boersma E, Schreiner F et al. Increased preoperative glucose levels are associated with perioperative mortality in patients undergoing noncardiac, nonvascular surgery. Eur J Endocrinol 156