P. Tuppin, L. De-roquefeuil, A. Weill, P. Ricordeau, and Y. Merlière, French national health insurance information system and the permanent beneficiaries sample. Rev Dépidémiologie Santé Publique, août, vol.58, issue.4, pp.286-290, 2010.

G. Rey, E. Jougla, A. Fouillet, and D. Hémon, Ecological association between a deprivation index and mortality in France over the period 1997 ??? 2001: variations with spatial scale, degree of urbanicity, age, gender and cause of death, BMC Public Health, vol.320, issue.7242, p.33, 2009.
DOI : 10.1136/bmj.320.7242.1102

R. Fetter, Y. Shin, J. Freeman, R. Averill, and J. Thompson, Case mix definition by diagnosis-related groups, Med Care. févr, vol.18, issue.2, pp.1-53, 1980.

M. Zins, S. Bonenfant, M. Carton, M. Coeuret-pellicer, A. Guéguen et al., The CONSTANCES cohort: an open epidemiological laboratory, BMC Public Health, vol.28, issue.137, p.479, 2010.
DOI : 10.1093/ageing/28.3.283

URL : https://hal.archives-ouvertes.fr/inserm-00511239

J. Valderas, B. Starfield, B. Sibbald, C. Salisbury, and R. M. , Defining Comorbidity: Implications for Understanding Health and Health Services, The Annals of Family Medicine, vol.7, issue.4, pp.357-363, 2009.
DOI : 10.1370/afm.983

A. Feinstein, The pre-therapeutic classification of co-morbidity in chronic disease, Journal of Chronic Diseases, vol.23, issue.7, pp.455-468, 1970.
DOI : 10.1016/0021-9681(70)90054-8

M. Van-den-akker, F. Buntinx, and J. Knottnerus, Comorbidity or multimorbidity, European Journal of General Practice, vol.42, issue.1, pp.65-70, 1996.
DOI : 10.1093/fampra/9.1.15

D. Groot, V. Beckerman, H. Lankhorst, G. Bouter, and L. , How to measure comorbidity: a critical review of available methods, Journal of Clinical Epidemiology, vol.57, issue.3, pp.221-229, 2003.
DOI : 10.1016/j.jclinepi.2003.09.002

M. Kaplan and A. Feinstein, The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus, Journal of Chronic Diseases, vol.27, issue.7-8, pp.7-8387, 1974.
DOI : 10.1016/0021-9681(74)90017-4

B. Singh, M. Bhaya, M. Zimbler, J. Stern, J. Roland et al., Impact of comorbidity on outcome of young patients with head and neck squamous cell carcinoma, Head & Neck, vol.9, issue.1, pp.1-7, 1998.
DOI : 10.1001/archotol.1995.01890020009003

C. Newschaffer, T. Bush, and L. Penberthy, Comorbidity measurement in elderly female breast cancer patients with administrative and medical records data, Journal of Clinical Epidemiology, vol.50, issue.6, pp.725-733, 1997.
DOI : 10.1016/S0895-4356(97)00050-4

C. Wang, Y. Lin, C. Tzao, H. Lee, M. Huang et al., Comparison of Charlson comorbidity index and Kaplan???Feinstein index in patients with stage I lung cancer after surgical resection, European Journal of Cardio-Thoracic Surgery, vol.32, issue.6, pp.877-881, 2007.
DOI : 10.1016/j.ejcts.2007.09.008

V. Korff, M. Wagner, E. Saunders, and K. , A chronic disease score from automated pharmacy data, Journal of Clinical Epidemiology, vol.45, issue.2, pp.197-203, 1992.
DOI : 10.1016/0895-4356(92)90016-G

D. Clark, V. Korff, M. Saunders, K. Baluch, W. Simon et al., A Chronic Disease Score with Empirically Derived Weights, Medical Care, vol.33, issue.8, pp.783-795, 1995.
DOI : 10.1097/00005650-199508000-00004

A. Elixhauser, C. Steiner, D. Harris, and R. Coffey, Comorbidity Measures for Use with Administrative Data, Medical Care, vol.36, issue.1, pp.8-27, 1998.
DOI : 10.1097/00005650-199801000-00004

H. Quan, V. Sundararajan, P. Halfon, A. Fong, B. Burnand et al., Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data, Medical Care, vol.43, issue.11, pp.1130-1139, 2005.
DOI : 10.1097/01.mlr.0000182534.19832.83

M. Charlson, P. Pompei, K. Ales, and C. Mackenzie, A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation, Journal of Chronic Diseases, vol.40, issue.5, pp.373-383, 1987.
DOI : 10.1016/0021-9681(87)90171-8

P. Romano, L. Roos, and J. Jollis, Presentation adapting a clinical comorbidity index for use with ICD-9-CM administrative data: Differing perspectives, Journal of Clinical Epidemiology, vol.46, issue.10, pp.1075-1079, 1993.
DOI : 10.1016/0895-4356(93)90103-8

V. Sundararajan, T. Henderson, C. Perry, A. Muggivan, H. Quan et al., New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality, Journal of Clinical Epidemiology, vol.57, issue.12, pp.1288-1294, 2004.
DOI : 10.1016/j.jclinepi.2004.03.012

S. Schneeweiss and M. Maclure, Use of comorbidity scores for control of confounding in studies using administrative databases, International Journal of Epidemiology, vol.29, issue.5, pp.891-898, 2000.
DOI : 10.1093/oxfordjournals.epirev.a036298

J. Chae, C. Song, H. Kim, K. Lee, B. Seo et al., Prediction of Mortality in Patients Undergoing Maintenance Hemodialysis by Charlson Comorbidity Index Using ICD-10 Database, Nephron Clinical Practice, vol.117, issue.4, pp.379-384, 2011.
DOI : 10.1159/000321525

R. Deyo, D. Cherkin, and M. Ciol, Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases, Journal of Clinical Epidemiology, vol.45, issue.6, pp.613-619, 1992.
DOI : 10.1016/0895-4356(92)90133-8

D. Hoore, W. Bouckaert, A. Tilquin, and C. , Practical considerations on the use of the charlson comorbidity index with administrative data bases, Journal of Clinical Epidemiology, vol.49, issue.12, pp.1429-1433, 1996.
DOI : 10.1016/S0895-4356(96)00271-5

P. Halfon, Y. Eggli, G. Van-melle, C. J. Wasserfallen, J. Burnand et al., Measuring potentially avoidable hospital readmissions, Journal of Clinical Epidemiology, vol.55, issue.6, pp.573-587, 2002.
DOI : 10.1016/S0895-4356(01)00521-2

V. Sundararajan, H. Quan, P. Halfon, K. Fushimi, J. Luthi et al., Cross-National Comparative Performance of Three Versions of the ICD-10 Charlson Index, Medical Care, vol.45, issue.12, pp.1210-1215, 2007.
DOI : 10.1097/MLR.0b013e3181484347

Y. Kudjawu, F. De-maria, E. Decool, M. Altana, J. Harlin et al., Crossing two health administrative databases: methodology and descriptive study for application to epidemiological surveillance of cancer in France, Bull Epidemiol Hebd, 2013.

M. Charlson, T. Szatrowski, J. Peterson, and J. Gold, Validation of a combined comorbidity index, Journal of Clinical Epidemiology, vol.47, issue.11, pp.1245-1251, 1994.
DOI : 10.1016/0895-4356(94)90129-5

W. Kremers, Calculates the C-statistic (concordance, descrimination index) for survival data with time dependent covariates and corresponding SE and 100(1-alpha)% CI [Internet] Disponible sur: http://www.mayo.edu/research/departmentsdivisions/department-health-sciences-research/division-biomedical-statisticsinformatics/software/locally-written-sas-macros Consulté le 19, 2014.

S. Kieszak, W. Flanders, A. Kosinski, C. Shipp, and H. Karp, A Comparison of the Charlson Comorbidity Index Derived from Medical Record Data and Administrative Billing Data, Journal of Clinical Epidemiology, vol.52, issue.2, pp.137-142, 1999.
DOI : 10.1016/S0895-4356(98)00154-1

K. Kim, Comparative Study on Three Algorithms of the ICD-10 Charlson Comorbidity Index with Myocardial Infarction Patients, Journal of Preventive Medicine and Public Health, vol.43, issue.1, pp.42-49, 2010.
DOI : 10.3961/jpmph.2010.43.1.42

W. Ghali, R. Hall, A. Rosen, A. Ash, and M. Moskowitz, Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data, Journal of Clinical Epidemiology, vol.49, issue.3, pp.273-278, 1996.
DOI : 10.1016/0895-4356(95)00564-1

H. Quan, B. Li, C. Couris, K. Fushimi, P. Graham et al., Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries, American Journal of Epidemiology, vol.33, issue.4, pp.676-682, 2011.
DOI : 10.2307/2529310

E. Benchimol, D. Manuel, T. To, A. Griffiths, L. Rabeneck et al., Development and use of reporting guidelines for assessing the quality of validation studies of health administrative data, Journal of Clinical Epidemiology, vol.64, issue.8, pp.821-829, 2011.
DOI : 10.1016/j.jclinepi.2010.10.006

Y. Lacasse, V. Montori, and F. Maltais, Administrative database: validity of recording vs. validity of diagnosis, Journal of Clinical Epidemiology, vol.59, issue.1, pp.104-104, 2006.
DOI : 10.1016/j.jclinepi.2005.09.001

C. Van-walraven, P. Austin, D. Manuel, G. Knoll, A. Jennings et al., The usefulness of administrative databases for identifying disease cohorts is increased with a multivariate model, Journal of Clinical Epidemiology, vol.63, issue.12, pp.1332-1341, 2010.
DOI : 10.1016/j.jclinepi.2010.01.016