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PATIENTS  AND  METHODS

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PATIENTS  AND  METHODS    

Patient  population  

Our  cohort  study  population  included  all  children  and  adolescents  with  less  than  17  years  who  had   a  diagnosis  of  definite  or  probable  IBD,  including  cases  of  CD  and  UC,  between  January  1988  and   December   2008,   registered   in   the   EPIMAD   registry   (Registre   des   maladies   inflammatoires   chroniques   de   l'intestin   du   Nord-­‐Ouest,   EPIMAD;   http://www3.univ-­‐ lille2.fr/epiweb/travaux/epimad).   Age   groups   at   diagnosis   were   defined   using   the   Paris   classification   (47),   with   age   <10   years   (early   pediatric   onset   IBD)   or   ≥10   years.   In   addition,   we   classified  the  age  in  three  different  classes:  0-­‐4  years,  5-­‐9  years  and  10-­‐16  years.  

The  study  area  was  the  northern  part  of  France,  which  has  5  790  526  inhabitants  (1999  national   population  census)  residing  in  four  departments:  Nord,  Pas-­‐de-­‐Calais,  Somme  and  Seine-­‐Maritime.  

 

   Fig.  4  The  four  French  departments  investigated  by  EPIMAD  

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This   part   of   France   represents   9.3%   of   the   total   French   population   and   is   composed   of   four   sectors:   (i)   Nord,   with   2   554   449   inhabitants   and   a   population   density   of   445⁄km2;   (ii)   Pas-­‐de-­‐

Calais,  with  1  441  422  inhabitants  and  a  population  density  of  216⁄km2;  (iii)  Somme,  with  555  479   inhabitants   and   a   population   density   of   90⁄km2;   and   (iv)   Seine-­‐Maritime,   with   1   239   176  

inhabitants  and  a  population  density  of  197⁄km2.  Both  rural  and  urban  populations  can  be  found  in   these  areas  (ratio  urban⁄rural  =  8.9  in  the  Nord,  4.5  in  the  Pas-­‐de-­‐Calais,  1.4  in  the  Somme,  and  3.0   in  the  Seine-­‐Maritime).  This  region  is  a  well-­‐defined  geographic  entity  bordering  Belgium  and  the   North  Sea.  The  population  is  stable  –  i.e.  the  percentages  of  the  population  moving  per  year  for   each   area   were   0.8   for   Nord   and   Pas-­‐de-­‐Calais,   1.1   for   Somme   and   0.9   for   Seine-­‐Maritime   (http://www.insee.fr/en).    

 

Data  collection  

The  methodology  of  the  EPIMAD  registry  has  been  previously  described  in  detail  (4).  In  brief,  data   were  collected  by  interviewing  practitioners  from  all  pediatric  gastroenterologists  (GE)  resident  in   the  area.  Overall  262  GE  were  periodically  interviewed:  168  were  practicing  in  the  private,  78  in   general  hospitals  and  16  in  University  hospitals.    

 Only   patients   who   had   been   residents   of   the   study   areas   at   the   time   of   diagnosis   of   IBD   were   included.  Each  GE  reported  any  patient  consulting  for  the  first  time  because  of  clinical  symptoms   compatible  with  IBD,  and  was  contacted  by  phone  at  least  three  times  a  year  by  an  interviewing   practitioner.  This  interviewer  went  to  the  GE’s  consulting  room  and  collected  data  from  charts  in  a   standardized  questionnaire  for  each  new  case.  Main  data  collected  included  age,  gender,  year  of   diagnosis,   interval   between   onset   of   symptoms   and   diagnosis,   and   clinical,   radiological,   endoscopic   and   histological   findings   at   the   time   of   diagnosis.   A   final   diagnosis   of   CD   or   UC   was   made   by   two   expert   gastroenterologists   and   was   recorded   as   definite,   probable   or   possible   according  to  previously  published  criteria  (4).    

For  the  purpose  of  the  present  study,  only  patients  with  a  diagnosis  of  definite  or  probable  IBD   made  between  1988  and  2008,  and  an  age  at  diagnosis  less  than  17  years  were  considered.    

For   the   study   of   phenotypes   of   CD,   the   site   of   disease   was   reported   only   for   patients   who   underwent  a  complete  bowel  investigation  (images  of  small  and  large  bowel).  The  location  of  the   lesions   was   coded   according   to   the   Paris   classification   (47):   L1   referred   to   ileal   localisation   of   lesions,  L2  to  colonic  localisation  and  L3  to  ileo-­‐colonic  localisation,  with  the  addition  that  an  ileal  

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localisation   with   cecal   involvement   was   considered   as   an   L3   localisation.   L4   referred   to   upper   gastrointestinal  location.    

For  UC  localisation,  ulcerative  proctitis  (E1)  was  defined  as  involvement  limited  to  the  rectum  (i.e.   the  proximal  extent  of  inflammation  was  distal  to  the  rectosigmoid  junction),  left-­‐sided  UC  (E2)   was  defined  as  involvement  limited  to  the  portion  of  the  colorectum  distal  to  the  splenic  flexure,   and  extensive  UC  (E3)  was  defined  as  involvement  extending  distally  to  hepatic  flexure.  Finally,  E4   identified   a   pancolitis,   with   an   involvement   proximal   to   hepatic   flexure.   Extra   intestinal   manifestations  (EIMs)  included  joints,  skin,  ocular  and  hepato-­‐biliary  manifestations.    

 

Statistical  analysis  

Incidence  rates  were  computed  as  the  ratio  of  the  number  of  incident  cases  with  respect  to  the   number   of   person-­‐years   and   presented   with   their   95%   confidence   intervals   (normal   approximation).   Yearly   estimations   of   population   were   based   on   a   procedure   mixing   exhaustive   census   before   2004   and   random   sampling   after   2004   were   obtained   from   the   French   Statistics   Institute   (INSEE).   Three-­‐year   periods   were   used   to   ensure   better   statistical   precision   and   robustness.  Incidence  rates  were  studied  in  the  overall  population  and  according  to  age  categories   (0-­‐4   years,   5-­‐9   years,   10-­‐16   years)   and   sex.     Continuous   variables   are   expressed   as   median   and   interquartile   range   (25th-­‐75th  percentile);   qualitative   variables   as   frequencies   and   percentages.   Changes  in  presentation  of  the  disease  over  time  (localisation,  behavior,  etc)  were  assessed  with   appropriate  statistical  tests:  Kruskall  Wallis  test  for  continuous  variables  (time  between  symptoms   and  diagnosis,  age  at  diagnosis);  Chi-­‐squared,  Fisher  exact  or  Chi  squared  test  for  trend  were  used   for  qualitative  variables.  Univariate  analysis  of  factors  associated  a  time  between  symptoms  and   diagnosis  over  6  months  was  performed  using  logistic  regression.  Analyses  were  performed  with   SAS  software  9.3.  Statistical  significance  was  considered  p≤0.05.  

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