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“New” Pneumonia?:    2012  and   beyond   Daniel  Feikin,  MD   Interna?onal  Vaccine  Access  Center   Johns  Hopkins  School  of  Public  Health  


Outline of  talk   •  •  •  • 

Pneumonia burden   Pneumonia  diagnos?cs   Pneumonia  e?ology   Pneumonia  as  part  of  fever  algorithm  


How much  pneumonia  in  children?   •  0.29  episodes  per  child  year  based  on   community-­‐based  studies  (Rudan,  Bull  WHO,  2004)   •  151  million  episodes  per  year   •  About  a  quarter  of  these  are  severe   pneumonia  (Hair  N,  personal  communica?on)  


Global pneumonia  deaths  in  children     <  5  years  old  (WHO  CHERG)   Deaths  in  Millions  

2.5 2   1.5  

1.8 (21%)   ?  decrease   1.  Real   2.  Method  

1.2 (14%)  

1.1 (14%)  

1 0.5  

?0.6

0 1998   2000   2002   2004   2006   2008   2010   2012   2014   2016   2018   Year   Black,  R,    Lancet  1993;    Black  R,  Lancet  2010;  Liu  L,  Lancet  2012.    


Hib vaccine  use  –  August  2012   68  /  73     GAVI-­‐eligible     countries  


Pneumococcal conjugate  vaccine  use  –   August  2012   18  /  73    

GAVI-­‐eligible   countries  


A brief  history  of  pneumonia  diagnos?cs   The  present  

The past  

The future  


Pneumonia diagnos?cs  –  the  past  

10-­‐15% bacterial  pneumonia     is  bacteremic  

50% get  diagnosis  with  lung   aspirate  


Pneumonia diagnos?cs  –  the  past   20%  due  to  Hib   30%  due  to  Pneumo  


Causes of  severe  pneumonia  

HIV nega?ve  children  in  developing  countries   1995-­‐2005  

Scog et  al.  J  Clin  Invest  2008;118:1291-­‐1300  


Pneumonia diagnos?cs  –  the  present   Bacteria  

Viruses


The Pneumonia  E4ology  Research  for   Child  Health  (PERCH)  Project  


PERCH Sites  

* PERCH  coordina4ng  centre  


PERCH CASES:  inclusion  criteria   Target  =  ~4,000  cases  

•  Age 28  days  to  59  months   •  Lives  in  defined  catchment   area   •  Admiged  to  hospital   •  Meets  WHO  criteria  for   severe  or  very  severe   pneumonia  


PERCH CONTROLS:  inclusion  criteria   Target  =  ~4,000  controls  

•  Age 28  days  to  59  months   •  Lives  in  same  catchment   area  as  PERCH  cases   •  Recruited  from  home   •  No  evidence  of  pneumonia  


PERCH Specimen  Tes?ng   Body  Fluid  

Laboratory Analyses  

Acute blood Convalescent blood

Blood culture; lytA pneumococcal PCR Archived for serology and possible other testing Archived for serological testing

NP rayon  swab  

Bacterial culture  for  pneumococcus  (and  serotyping  if  applicable)

Throat rayon  and  NP   flocked  swabs  

PCR for  respiratory  pathogens Archived  for  future  tes?ng

Induced Sputum Lung  Aspirate (at  select  sites) Pleural  Fluid  

Microscopy and  bacterial  culture; Mycobacterial  microscopy,  culture PCR  for  respiratory  pathogens Microscopy  and  bacterial  culture; M.tb  microscopy,  culture PCR  for  respiratory  pathogens Microscopy  and  bacterial  culture; Protein  and  glucose  tes?ng M.tb  microscopy,  culture; PCR  for  respiratory  pathogens An?gen  detec?on  (pneumococcus)

Gastric Aspirate  

Mycobacterial microscopy  and  culture

Urine

Storage for  future  tes?ng  (an?gens;  biomarkers)

Lung Tissue  (from  post   mortem  needle  biopsy,  at   select  sites)

Histology ; Gram  Stain  and  bacterial  /  mycobacterial  culture,   PCR  for  respiratory  pathogens


WHO clinical  guidelines  for  classifica?on  and   treatment  of  pneumonia  


WHO guidelines  for  pneumonia   •  Developed  in  the  1970-­‐1980’s   •  Designed  for  first  point  of  contact  at  peripheral   health  facility   •  Premised  on  high  sensi?vity,  specificity  less   important   •  Early  referral  and  treatment  with  an?bio?cs  for   bacterial  pneumonia   •  24%  reduc?on  in  mortality  from  pneumonia  case   management  (Sazawal,  Lancet  2003)  


Fever absent  IMCI  pneumonia  algorithm   Low  sensi?vity  

Shann F,  Bull  WHO,  1984.    Technical  bases  WHO,  WHO/ARI/91.20.  


Fever absent  IMCI  pneumonia   algorithm  –  Low  PPV   Low  sensi?vity  

Fever =  Pneumonia  


Fever can  elevate  Respiratory  Rate   •  Fever  can  lead  to   elevated  RR,   independent  of  ARI   •  About  4  bpm  per   degree  cen?grade  of   fever  (O’Dempsey,  Arch  Dis   Child,  93)  

Campbell H,  Arch  Dis  Child  1992  


Fever (T  >38.0  °  C)  Upon  Admission  of   PERCH  cases   100  

Percent of  Cases  with  Fever  

90 80   70   60   50   40   30  

323

1259

936

Overall

Severe

20 10   0   Very  Severe  


Fever (T  >38.0  °  C)  Upon  Admission  of   PERCH  cases   100  

Percent of  Cases  with  Fever  

90 80   70   60  

62

282

50 40  

191

206

30 20  

113

10

405

0 Bangladesh  

Mali

South Africa   Thailand   The  Gambia  

Zambia


Role of  pneumonia  in  fever  algorithm  


Role of  pneumonia  in  fever  algorithm   15,661  sick  visits   Oct  05-­‐  Dec  09  

Temp  >38.0  C  –  36%  

Any pneumonia  –  35%   (13%  severe/very   severe)  

No fever  

Any pneumonia  –  21%   (8%  severe/very   severe)  


Role of  pneumonia  in  fever  algorithm   15,661  sick  visits   Oct  05-­‐  Dec  09    BS  posi?ve      53%  

BS nega?ve      47%  

Fever –  54%  

Fever -­‐-­‐25%  

Any pneumonia   –  36%,  severe/ VS  11%  

Any pneumonia   –  39%,  severe/ VS  13%  


Pneumonia in  fever  algorithm   •  Sensi?vity  of  fever  for  pneumonia  ~30%   •  Posi?ve  predic?ve  value  of  fever  for   pneumonia  ~35-­‐40%   •  Pneumonia  is  not  a  febrile  illness  


Ques?ons to  consider   •  Should  another  sign/symptom  be  added  to   fever  algorithm  for  pneumonia  treatment   –  Chest  indrawing,  tachypnea  

•  Do RDTs  change  the  role  of  pneumonia  in  a   fever  algorithm?   –  It’s  always  been  there.    %  with  pneumonia   increase  as  malaria  declines,  but  not  counts   –  Pneumonia  can  occur  in  RDT  posi?ve  or  nega?ve   kids  


THANK YOU  

feikin_pneumonia_cdepp_sept2012_3  

http://www.cddep.org/sites/cddep.org/files/feikin_pneumonia_cdepp_sept2012_3.pdf

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