@article{ZhaoYuHuetal.2015,
  author    = {Zhao, De-Wei and Yu, Mang and Hu, Kai and Wang, Wei and Yang, Lei and Wang, Ben-Jie and Gao, Xiao-Hong and Guo, Yong-Ming and Xu, Yong-Qing and Wei, Yu-Shan and Tian, Si-Miao and Yang, Fan and Wang, Nan and Huang, Shi-Bo and Xie, Hui and Wei, Xiao-Wei and Jiang, Hai-Shen and Zang, Yu-Qiang and Ai, Jun and Chen, Yuan-Liang and Lei, Guang-Hua and Li, Yu-Jin and Tian, Geng and Li, Zong-Sheng and Cao, Yong and Ma, Li},
  title     = {Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey},
  series = {Chinese Medical Journal},
  volume    = {128},
  journal   = {Chinese Medical Journal},
  number    = {21},
  doi       = {10.4103/0366-6999.168017},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-138482},
  pages     = {2843-2850},
  year      = {2015},
  abstract  = {Background: Nontraumatic osteonecrosis of the femoral head (NONFH) is a debilitating disease that represents a significant financial burden for both individuals and healthcare systems. Despite its significance, however, its prevalence in the Chinese general population remains unknown. This study aimed to investigate the prevalence of NONFH and its associated risk factors in the Chinese population. Methods: A nationally representative survey of 30,030 respondents was undertaken from June 2012 to August 2013. All participants underwent a questionnaire investigation, physical examination of hip, and bilateral hip joint X-ray and/or magnetic resonance imaging examination. Blood samples were taken after overnight fasting to test serum total cholesterol, triglyceride, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels. We then used multivariate logistic regression analysis to investigate the associations between various metabolic, demographic, and lifestyle-related variables and NONFH. Results: NONFH was diagnosed in 218 subjects (0.725\%) and the estimated NONFH cases were 8.12 million among Chinese people aged 15 years and over. The prevalence of NONFH was significantly higher in males than in females (1.02\% vs. 0.51\%, \(\chi^2\) = 24.997, P < 0.001). Among NONFH patients, North residents were subjected to higher prevalence of NONFH than that of South residents (0.85\% vs. 0.61\%, \(\chi^2\) = 5.847, P = 0.016). Our multivariate regression analysis showed that high blood levels of triglycerides, total cholesterol, LDL-cholesterol, and non-HDL-cholesterol, male, urban residence, family history of osteonecrosis of the femoral head, heavy smoking, alcohol abuse and glucocorticoid intake, overweight, and obesity were all significantly associated with an increased risk of NONFH. Conclusions: Our findings highlight that NONFH is a significant public health challenge in China and underscore the need for policy measures on the national level. Furthermore, NONFH shares a number of risk factors with atherosclerosis.},
  language  = {en}
}
@article{PippiasStelDiezetal.2015,
  author    = {Pippias, Maria and Stel, Vianda S. and Diez, Jos{\´e} Maria Abad and Afentakis, Nikolaos and Herrero-Calvo, Jose Antonio and Arias, Manuel and Tomilina, Natalia and Caama{\~n}o, Encarnaci{\´o}n Bouzas and Buturovic-Ponikvar, Jadranka and Čala, Svjetlana and Caskey, Fergus J. and de la Nuez, Pablo Castro and Cernevskis, Harijs and Collart, Frederic and de la Torre, Ram{\´o}n Alonso and de los {\´A}ngeles Garc{\´i}a Bazaga, Maria and De Meester, Johan and D{\´i}az, Joan Manuel and Djukanovic, Ljubica and Alamar, Manuel Ferrer and Finne, Patrik and Garneata, Liliana and Golan, Eliezer and Gonz{\´a}lez Fern{\´a}ndez, Raquel and Guti{\´e}rrez Avila, Gonzalo and Heaf, James and Hoitsma, Andries and Kantaria, Nino and Kolesnyk, Mykola and Kramar, Reinhard and Kramer, Anneke and Lassalle, Mathilde and Leivestad, Torbj{\o}rn and Lopot, Frantisek and Mac{\´a}rio, Fernando and Magaz, Angela and Mart{\´i}n-Escobar, Eduardo and Metcalfe, Wendy and Noordzij, Marlies and Palsson, Runolfur and Pechter, {\"U}lle and Pr{\"u}tz, Karl G. and Ratkovic, Marina and Resić, Halima and Rutkowski, Boleslaw and de Pablos, Carmen Santiuste and Spustov{\´a}, Viera and S{\"u}leymanlar, G{\"u}ltekin and Van Stralen, Karlijn and Thereska, Nestor and Wanner, Christoph and Jager, Kitty J.},
  title     = {Renal replacement therapy in Europe: a summary of the 2012 ERA-EDTA Registry Annual Report},
  series = {Clinical Kidney Journal},
  volume    = {8},
  journal   = {Clinical Kidney Journal},
  number    = {3},
  doi       = {10.1093/ckj/sfv014},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-150054},
  pages     = {248-261},
  year      = {2015},
  abstract  = {Background This article summarizes the 2012 European Renal Association—European Dialysis and Transplant Association Registry Annual Report (available at www.era-edta-reg.org) with a specific focus on older patients (defined as ≥65 years). Methods Data provided by 45 national or regional renal registries in 30 countries in Europe and bordering the Mediterranean Sea were used. Individual patient level data were received from 31 renal registries, whereas 14 renal registries contributed data in an aggregated form. The incidence, prevalence and survival probabilities of patients with end-stage renal disease (ESRD) receiving renal replacement therapy (RRT) and renal transplantation rates for 2012 are presented. Results In 2012, the overall unadjusted incidence rate of patients with ESRD receiving RRT was 109.6 per million population (pmp) (n = 69 035), ranging from 219.9 pmp in Portugal to 24.2 pmp in Montenegro. The proportion of incident patients ≥75 years varied from 15 to 44\% between countries. The overall unadjusted prevalence on 31 December 2012 was 716.7 pmp (n = 451 270), ranging from 1670.2 pmp in Portugal to 146.7 pmp in the Ukraine. The proportion of prevalent patients ≥75 years varied from 11 to 32\% between countries. The overall renal transplantation rate in 2012 was 28.3 pmp (n = 15 673), with the highest rate seen in the Spanish region of Catalonia. The proportion of patients ≥65 years receiving a transplant ranged from 0 to 35\%. Five-year adjusted survival for all RRT patients was 59.7\% (95\% confidence interval, CI: 59.3-60.0) which fell to 39.3\% (95\% CI: 38.7-39.9) in patients 65-74 years and 21.3\% (95\% CI: 20.8-21.9) in patients ≥75 years.},
  language  = {en}
}