Literature DB >> 23869711

The burden of invasive pneumococcal disease in children with underlying risk factors in North America and Europe.

M A Rose1, D Christopoulou, T T H Myint, I de Schutter.   

Abstract

BACKGROUND: Characterisation of risk groups who may benefit from pneumococcal vaccination is essential for the generation of recommendations and policy.
METHODS: We reviewed the literature to provide information on the incidence and risk of invasive pneumococcal disease (IPD) in at-risk children in Europe and North America. The PubMed database was searched using predefined search terms and inclusion/exclusion criteria for papers reporting European or North American data on the incidence or risk of IPD in children with underlying medical conditions.
RESULTS: Eighteen references were identified, 11 from North America and 7 from Europe, with heterogeneous study methods, periods and populations. The highest incidence was seen in US children positive for human immunodeficiency virus infection, peaking at 4167 per 100,000 patient-years in 2000. Studies investigating changes in incidence over time reported decreases in the incidence of IPD between the late 1990s and early 2000s. The highest risk of IPD was observed in children with haematological cancers or immunosuppression. Overall, data on IPD in at-risk children were limited, lacking incidence data for a wide range of predisposing conditions. There was, however, a clear decrease in the incidence of IPD in at-risk children after the introduction of 7-valent pneumococcal conjugate vaccine into immunisation programmes, as previously demonstrated in the general population.
CONCLUSION: Despite the heterogeneity of the studies identified, the available data show a substantial incidence of IPD in at-risk children, particularly those who are immunocompromised. Further research is needed to determine the true risk of IPD in at-risk children, particularly in the post-PCV period, and to understand the benefits of vaccination and optimal vaccination schedules.
© 2013 The Authors. International Journal of Clinical Practice published by John Wiley & Sons Ltd.

Entities:  

Mesh:

Year:  2013        PMID: 23869711      PMCID: PMC4232238          DOI: 10.1111/ijcp.12234

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


Review criteria

The PubMed database was searched using predefined search terms, with predefined inclusion and exclusion criteria applied to the search results. Information from papers identified relevant to the research questions was tabulated in full, and summarised in the body of the manuscript.

Message for the clinic

Data on the incidence of IPD in children with underlying medical conditions are limited, and more research is needed to determine the true risk of disease. The available data show a substantial incidence of IPD in at-risk children, particularly those who are immunocompromised, with a corresponding increase in risk compared with healthy children.

Introduction

Invasive pneumococcal disease (IPD), which includes potentially fatal conditions such as meningitis, septicaemia and pneumonia, is responsible for an estimated 11% of all deaths worldwide in children aged < 5 years 1. Before 2000, the only pneumococcal vaccine available was a 23-valent purified capsular polysaccharide vaccine (PPV-23), which is associated with poor or absent immunogenicity in children < 2 years of age and immunodeficient patients, and failure at any age to induce immunological memory following revaccination 2. A seven-valent pneumococcal conjugate vaccine (PCV-7) against key Streptococcus pneumoniae serotypes was licenced in the USA in February 2000 and subsequently in the European Union and Canada 3,4. Since then, many countries have introduced universal PCV immunisation programmes (between 2006 and 2008 in Europe, for example). In the USA and Canada, pneumococcal vaccination is recommended for universal childhood vaccination in children under 59 months of age, and in older children (60–71 months and >60 months of age, respectively) in individuals at high risk of IPD 5,6. In some European countries, such as the UK, France and Germany, PCV-7 was first recommended only for children at high risk of pneumococcal infection before being introduced into national immunisation programmes 3. These universal vaccination programmes with PCV-7 have led to major improvements in public health, with significant decreases in the incidence of vaccine-type IPD and, to a lesser extent, a decrease in overall IPD in most countries 4,7–10. As the introduction of PCV-7, however, the epidemiology of S. pneumoniae has evolved, with changes in serotype distribution 11. Higher valent PCVsPCV-10 and PCV-13 – have subsequently been introduced to adapt to these changes and have gradually superseded PCV-7 2. In children, PCV-10 is licenced for those aged 6 weeks to 5 years, and PCV-13 is licenced for those aged 6 weeks to 17 years 12–14 – these vaccines are currently used in general childhood immunisation programmes – whereas PPV-23 is recommended for children ≥2 years of age in whom there is an increased risk of morbidity and mortality from pneumococcal disease 15. Some health authorities and scientific societies, however, also recommend the use of PCV-13 in a broader range of individuals at increased risk of IPD, particularly, those with underlying medical conditions such as innate or acquired immunodeficiency, deficient splenic function, cochlear implants or cerebrospinal fluid leak 16–19. Characterisation of those risk groups who may benefit from PCV-13 is essential for the generation of recommendations and for helping policy makers to produce policy for vaccination programmes based on the best available evidence 20,21. We conducted, therefore, a literature review to provide up-to-date information on the incidence and risk of invasive IPD in Europe and North America in children with underlying conditions that place them at increased risk of IPD.

Methods

A search of the PubMed database was conducted using the following search string: ‘pneumococc* AND (pneumonia OR sinusitis OR meningitis OR bacteremia OR bacteraemia OR sepsis OR osteomyelitis OR septic arthritis OR endocarditis OR peritonitis OR pericarditis OR cellulitis OR soft tissue infection OR brain abscess OR mastoiditis OR empyema OR septicaemia OR “invasive pneumococcal disease” OR “invasive pneumococcal infection”)’. A built-in PubMed filter was used to limit the search to studies in children (0–18 years of age), and search results were limited to papers published in English between 1 January 2005 and 31 July 2012. Papers were included in the review if they reported data from Europe or North America on the incidence or risk of IPD in ‘at-risk’ children, defined as those with underlying medical conditions placing them at increased risk of IPD (Table1).
Table 1

Risk categories for invasive pneumococcal disease included in the review*

Immunocompetent at-risk groupsImmunocompromised at-risk groups

Chronic/cyanotic heart disease

Chronic liver disease

Chronic renal disease

Chronic respiratory disease (e.g. cystic fibrosis)

Chronic lung disease/bronchopulmonary dysplasia

Chronic/severe asthma

Recurrent pulmonary infections

Preorgan-transplant patients

CNS malformations, cerebrospinal leaks, liquor shunts

Cochlear implant recipients

Metabolic disease (e.g. diabetes)

Coeliac disease

Care home residents/permanent institutionalisation because of illness

Smoking/exposure

Prematurity

Congenital or primary immunodeficiency (e.g. agammaglobulinemia, SCID, CVID, complement deficiency [particularly early component deficiencies: C1, C2, C3, C4])

Secondary immunodeficiency (e.g. HIV)

Bone marrow, haematopoietic stem cell and solid organ transplant recipients

Neoplastic diseases (HL, NHL, lymphomas, leukaemias, other diseases of the blood-forming organs)

Asplenia or dysfunction of the spleen, including sickle-cell disease

Iatrogenic immunosuppression

Chromosomal aberration (e.g. Down's syndrome)

Nephrotic disease

Definition of some individual risk categories (e.g. chronic/severe asthma) may vary between publications and between guidelines.

CNS, central nervous system; CVID, common variable immunodeficiency; HIV, human immunodeficiency virus; HL, Hodgkin lymphoma; IPD, invasive pneumococcal disease; NHL, non-Hodgkin lymphoma; SCID, severe combined immunodeficiency.

Risk categories for invasive pneumococcal disease included in the review* Chronic/cyanotic heart disease Chronic liver disease Chronic renal disease Chronic respiratory disease (e.g. cystic fibrosis) Chronic lung disease/bronchopulmonary dysplasia Chronic/severe asthma Recurrent pulmonary infections Preorgan-transplant patients CNS malformations, cerebrospinal leaks, liquor shunts Cochlear implant recipients Metabolic disease (e.g. diabetes) Coeliac disease Care home residents/permanent institutionalisation because of illness Smoking/exposure Prematurity Congenital or primary immunodeficiency (e.g. agammaglobulinemia, SCID, CVID, complement deficiency [particularly early component deficiencies: C1, C2, C3, C4]) Secondary immunodeficiency (e.g. HIV) Bone marrow, haematopoietic stem cell and solid organ transplant recipients Neoplastic diseases (HL, NHL, lymphomas, leukaemias, other diseases of the blood-forming organs) Asplenia or dysfunction of the spleen, including sickle-cell disease Iatrogenic immunosuppression Chromosomal aberration (e.g. Down's syndrome) Nephrotic disease Definition of some individual risk categories (e.g. chronic/severe asthma) may vary between publications and between guidelines. CNS, central nervous system; CVID, common variable immunodeficiency; HIV, human immunodeficiency virus; HL, Hodgkin lymphoma; IPD, invasive pneumococcal disease; NHL, non-Hodgkin lymphoma; SCID, severe combined immunodeficiency.

Results

In total, 1640 references were identified by the literature search, of which 1435 were excluded on the basis of the title or abstract; the remaining 18 references met the inclusion and exclusion criteria (Figure1) 22–39. A further 10 papers were identified that reported incidence of IPD in indigenous populations and specific ethnic populations considered to be at increased risk of IPD 40–49. While these socioeconomic risk groups are outside the scope of this review, the details of these papers are presented in supplementary tables for the reader's interest (Tables S1 and S2).
Figure 1

Results of literature search and evaluation of identified studies according to Preferred Reporting Terms for Systematic Reviews and Meta-Analyses

Results of literature search and evaluation of identified studies according to Preferred Reporting Terms for Systematic Reviews and Meta-Analyses Of the 18 included studies, six looked at several different time points within a specific period (1989–2006 24, 1995–2002 25,31, 1995–2004 26, 1996–2005 27 and 2001–2007 39). The other studies reported overall data in a single period of time: 1963–2003 23, 1964–2003 36, 1977–2005 32, 1980–2005 37, 1990–2001 28, 1995–2000 29, 1995–2002 35, 1996–2002 38, 1997–2003 34, 1997–2004 30, 2001–2004 33 and 2008–2009 22. Half of the studies were conducted in the USA 24–27,30,33,35,38,39, three studies in the UK 22,23,29, two each in Canada 28,31 and Denmark 32,37, and one each in Germany 34 and Sweden 36. All 18 studies were conducted in children, although only two included children of any age from 0 to 18 years 24,31. The remaining studies limited the age range of the children included (Tables2 and 3).
Table 2

Incidence of general invasive pneumococcal disease in children

Citation (country)MethodologyAge range (years [median]) N * Time periodIncidence (per 100,000 patient-years)
Asplenia/splenic dysfunction
 van Hoek 2012 (UK) 22National GP database study2–15 [–]1108–0919
Chronic heart disease
 van Hoek 2012 (UK) 22National GP database study2–15 [–]4808–0916
Chronic renal disease
 van Hoek 2012 (UK) 22National GP database study2–15 [–]3308–0946
Chronic liver disease
 van Hoek 2012 (UK) 22National GP database study2–15 [–]908–09117
Chronic respiratory disease
 van Hoek 2012 (UK) 22National GP database study2–15 [–]1908–0950
Coeliac disease
 Thomas 2008 (UK) 23Regional hospitalisation database< 15 [–]∽220063–03113
Diabetes
 van Hoek 2012 (UK) 22National GP database study2–15 [–]908–0915
HIV infection
 Steenhoff 2008 (PA, USA) 24Retrospective cohort study0.2–16.8 [6.3]2089–061200
89–951862
19962128
97–99292
20003101
01–06860
0.2–< 5 [–]89–952174
19962273
97–990
20000
01–061724
5–16.8 [–]89–951000
19962000
97–99444
20004167
01–06716
 van Hoek 2012 (UK) 22National GP database study2–15 [–]608–09398
Immunosuppression
 van Hoek 2012 (UK) 22National GP database study2–15 [–]17408–09162
Sickle-cell disease
 Adamkiewicz 2008 (GA, USA) 25Surveillance database study≤10 [–]124795–99170
2000140
200170
200240
 Halasa 2007 (TN, USA) 26Database (Medicaid) study< 5 [–]2195–992044
20001077
01–04134
< 2 [–]1695–993630
20003012
01–04335
 Poehling 2010 (TN, USA) 27State-managed healthcare database study (Hb S or C trait)< 5 [–]3896–05139.8
2196–00260.8
701–0546.0
State-managed healthcare database study (Hb S trait)< 5 [–]3096–05142.6
1996–00300.9
301–0525.6
State-managed healthcare database study (Hb C trait)< 5 [–]896–05130.1
296–00115.0
401–05113.7
Transplant recipients
 Tran 2005 (ON, Canada) 28Retrospective single-centre study< 5 [–]52290–01176
General high-risk patients
 Melegaro 2006 (UK) 29National hospital database study§< 1 month [–]95–0075.3
1–11 months [–]38.6
1–4 [–]11.6
5–9 [–]2
10–14 [–]1
 van Hoek 2012 (UK) 22National GP database study2–15 [–]26108–0946

Total number of patients in analysis.

Based on 3.4 cases per 1000 patients over median follow-up of 3 years.

Includes those who are immunocompromised by disease, such as HIV or leukaemia, asplenia or splenic dysfunction.

‘High risk’ defined as diabetes mellitus, chronic renal, hepatic or pulmonary disease, neoplastic disease, chronic immunosuppression.

‘High risk’ defined as asplenia/splenic dysfunction (including sickle-cell disease and coeliac syndrome), chronic renal, hepatic, heart or respiratory disease (including organ transplantation), diabetes mellitus, immunosuppression (including HIV, leukaemia and bone marrow transplantation), cochlear implants and cerebrospinal fluid leaks.

GP, general practitioner; Hb, haemoglobin; HIV, human immunodeficiency virus.

Table 3

Incidence of specific forms of invasive pneumococcal disease in children

Citation (country)MethodologyRisk categoryAge range (years [median]) N * Time periodIncidence (per 100,000 patient-years)
Meningitis
 Biernath 2006 (USA) 30Cohort studyCochlear implants< 6 [55 months]426597–04120
 Wilson-Clark 2006 (Canada) 31bPostal surveyCochlear implants<18 [–]48295–02290
<6 [–]
< 18 [–]95–98220
99–02400
< 6 [–]95–98150
99–02310
 Melegaro 2006 (UK) 29National hospital database study General high-risk patients< 1 month [–]95–0015.6
1–11 months [–]15.3
1–4 [–]1.7
5–9 [–]0.2
10–14 [–]0.2
Bacteraemia
 Steenhoff 2008 (PA, USA) 24Retrospective cohort studyHIV infection08–09398

Total number of patients in analysis.

Includes some bacterial meningitis cases related to Neisseria meningitidis or of unknown bacterial type.

HIV, human immunodeficiency virus.

Incidence of general invasive pneumococcal disease in children Total number of patients in analysis. Based on 3.4 cases per 1000 patients over median follow-up of 3 years. Includes those who are immunocompromised by disease, such as HIV or leukaemia, asplenia or splenic dysfunction. ‘High risk’ defined as diabetes mellitus, chronic renal, hepatic or pulmonary disease, neoplastic disease, chronic immunosuppression. ‘High risk’ defined as asplenia/splenic dysfunction (including sickle-cell disease and coeliac syndrome), chronic renal, hepatic, heart or respiratory disease (including organ transplantation), diabetes mellitus, immunosuppression (including HIV, leukaemia and bone marrow transplantation), cochlear implants and cerebrospinal fluid leaks. GP, general practitioner; Hb, haemoglobin; HIV, human immunodeficiency virus. Incidence of specific forms of invasive pneumococcal disease in children Total number of patients in analysis. Includes some bacterial meningitis cases related to Neisseria meningitidis or of unknown bacterial type. HIV, human immunodeficiency virus. Sixteen of the 18 studies reported on IPD as a whole 22–29,32–39, although two of those 16 also looked at specific conditions (meningitis 29 and bacteraemia 24). The remaining two studies focused specifically on meningitis 30,31. With regard to outcomes, six of the 18 studies included data only on the incidence of IPD 24–26,29–31, eight included data only on risk 32–39, and the remaining four included both incidence and risk data 22,23,27,28.

Incidence of IPD

Data on the incidence of any IPD in at-risk children are shown in Table2. The overall incidence ranged from 1 to 4167 per 100,000 patient-years, with the exception of one study of human immunodeficiency virus [HIV] in US children. This study had no reported cases of IPD in children aged < 5 years after the introduction of highly active antiretroviral therapy in 1996, leading to a stated incidence of 0 in 2000 and 1997–1999 24. The highest incidence was seen in children aged > 5 years with HIV in the USA, peaking at 4167 per 100,000 patient-years in 2000 24. The incidence in children with sickle-cell disease in the USA was also high, with a peak of 3630 per 100,000 patient-years in 1995–1999 26, although two other studies reported lower incidences for a similar time period (170–301 per 100,000 patient-years) 25,27. Across age groups, higher incidences of IPD were generally seen in younger vs. older children. In a study in children with sickle-cell disease, for example, the incidence in those aged < 2 years was 335–3630 per 100,000 patient-years, compared with 134–2044 for those aged < 5 years 26. Similarly, a study in the UK in a predefined high-risk group (diabetes mellitus, chronic renal, hepatic or pulmonary disease, neoplastic disease, chronic immunosuppression) found an incidence of 38.6–75.3 per 100,000 patient-years in children aged < 1 year, compared with 1–11.6 per 100,000 patient-years in children aged 1–14 years 29. Three US database studies investigated the changing incidence of IPD over time in children with sickle-cell disease 25–27. All three studies showed large decreases in the incidence of IPD between the late 1990s and early 2000s, from 115–3630 per 100,000 patient-years in 1995–2000 to 26–335 in 2001–2005. Similar trends were observed in a retrospective US study in children with HIV in which the incidence decreased from 1862 in 1989–1995 to 860 in 2001–2006 24. The incidence of IPD in different clinical presentations (meningitis and bacteraemia) in at-risk children is shown in Table3. Three studies described the incidence of meningitis (overall range: 0.2–400 per 100,000 patient-years) 29–31. One survey described an increased incidence of meningitis in children with cochlear implants between 1995–98 and 1999–2000, after the introduction of cochlear implant positioners 31. The time between implantation and meningitis infection varied from 7 months to 7.7 years (median: 11 months). In at-risk children, the reported incidence of meningitis in the UK between 1995 and 2000 was higher in children < 11 months of age than in those aged 1–14 years 29. Regarding other clinical manifestations, the incidence of bacteraemia in HIV-infected children (2008–2009) was 398 per 100,000 patient-years 24.

Risk of IPD

Thirteen studies described the risk of IPD (Table4) in 18 different risk populations. The highest risk was observed in children with haematological cancers (adjusted risk ratio: 52.1 [95% confidence interval (CI): 13.7–198.2] 32; standardised incidence ratio [age 5–9 years]: 50.6 [16.1–122.1] 34) and immunosuppressed children (odds ratio: 41.0 [95% CI: 35.0–48.0]) 22, specifically those with HIV infection (odds ratio: 100.8 [95% CI: 44.7–227.2]) 22. Lower risk ratios (≤ 1.5) were reported for respiratory conditions 32,33, gastrointestinal disease 32 (including coeliac disease 23), congenital immune deficiency 32, diabetes 32, cerebral palsy 32 and hydrocephalus 32.
Table 4

Risk of IPD in children

Citation (country)MethodologyClinical manifestationAge range (years) N Time periodComparator childrenRisk (95% CI)
Chronic organ disease
 Heart disease
  Hjuler 2008 (Denmark) 32Surveillance database study (all heart disease)IPD0–171977–2005Children with no chronic diseasesaRR = 2.4 (1.6–3.4)
Surveillance database study (chronic heart disease)14aRR = 3.6 (1.4–9.6)
Surveillance database study (congenital heart disease)67aRR = 2.0 (1.4–3.1)
  Pilishvili 2010 (USA) 33Surveillance studyIPD3 months–< 5 years2001–2004Children without IPDOR = 3.5 (2.1–5.7) ***
  van Hoek 2012 (UK) 22National GP database studyIPD2–15482008–2009No risk factors for IPDOR = 4.1 (3.1–5.5)
 Liver disease
  van Hoek 2012 (UK) 22National GP database studyIPD2–1592008–2009No risk factors for IPDOR = 29.6 (15.3–57.2)
 Lung disease
  Hjuler 2008 (Denmark) 32Surveillance database study (all lung disease)IPD0–171977–2005Children with no chronic diseasesaRR = 1.4 (1.0–1.9)
Surveillance database study (chronic airway disease)25aRR = 4.1 (2.1–7.9)
Surveillance database study (asthma)60aRR = 1.1 (0.7–1.6)
Surveillance database study (congenital respiratory malformation)11aRR = 0.9 (0.4–1.9)
  Pilishvili 2010 (USA) 33Surveillance study (chronic lung condition)IPD3 months–< 5 years2001–2004Children without IPDOR = 3.5 (1.5–8.0) ***
Surveillance study (asthma)OR = 1.8 (1.5–2.2) ***
  Talbot 2005 (USA) 35Nested case–control study (asthma)IPD2–4261995–2002Children without IPDaOR = 2.3 (1.4–4.0)
5–1711aOR = 4.0 (1.5–10.7)
  van Hoek 2012 (UK) 22National GP database studyIPD2–1592008–2009No risk factors for IPDOR = 12.7 (8.1–20.0)
 Renal disease
  Hjuler 2008 (Denmark) 32Surveillance database study (all renal disease)IPD0–171977–2005Children with no chronic diseasesaRR = 4.1 (1.5–11.1)
Surveillance database study (chronic renal disease)6aRR = 18.9 (2.8–127.1)
Surveillance database study (congenital renal malformation)7aRR = 1.6 (0.4–6.3)
  Pilishvili 2010 (USA) 33Surveillance study (kidney disease [no dialysis])IPD3 months–< 5 years2001–2004Children without IPDOR = 3.6 (1.1–11.4) *
Surveillance study (nephrotic syndrome or renal failure)OR = 14.7 (2.9–76) **
  van Hoek 2012 (UK) 22National GP database studyIPD2–15332008–2009No risk factors for IPDOR = 11.7 (8.3–16.6)
Gastrointestinal disease
  Hjuler 2008 (Denmark) 32Surveillance database study (all gastrointestinal disease)IPD0–171977–2005Children with no chronic diseasesaRR = 1.5 (0.9–2.4)
Surveillance database study (oesophageal disease)8aRR = 1.1 (0.4–3.5)
Genetic disease/congenital malformation
 Hjuler 2008 (Denmark) 32Surveillance database study (all genetic disease)IPD0–171977–2005Children with no chronic diseasesaRR = 2.1 (1.1–4.1)
Surveillance database study (chromosomal abnormalities)22aRR = 2.5 (1.1–5.6)
Surveillance database study (inborn error of metabolism)5aRR = 1.1 (0.3–4.1)
Surveillance database study (congenital gut malformation)35aRR = 1.7 (1.0–2.9)
Surveillance database study (congenital CNS malformation§)23aRR = 2.9 (1.4–6.2)
Surveillance database study (cerebral palsy)18aRR = 1.2 (0.5–3.0)
 Pilishvili 2010 (USA) 33Surveillance study (congenital/developmental disorders)IPD3 months–< 5 years2001–2004Children without IPDOR = 4.9 (3.0–8.0) ***
Immunosuppression
 Asplenia/splenic dysfunction/splenectomy
  Hjuler 2008 (Denmark) 32Surveillance database studyIPD0–1761977–2005Children without invasive surgeryaRR = 14.4 (1.3–154.2)
  Pilishvili 2010 (USA) 33Surveillance studyIPD3 months–< 5 years2001–2004Children without IPDOR = 3.9 (0.6–23.5)
  van Hoek 2012 (UK) 22National GP database studyIPD2–15112008–2009No risk factors for IPDOR = 4.7 (2.6–8.5)
 Coeliac disease
  Ludvigsson 2008 (Sweden) 36Cohort studySepsis0–151964–2003General populationHR = 3.4 (1.1–10.6)
 HIV infection
  van Hoek 2012 (UK) 22National GP database studyIPD2–1562008–2009No risk factors for IPDOR = 100.8 (44.7–227.2)
 Immunological/metabolic disease
  Hjuler 2008 (Denmark) 32Surveillance database study (all immunological/metabolic disease)IPD0–171977–2005Children with no chronic diseasesaRR = 2.0 (0.9–4.2)
Surveillance database study (haemolytic anaemia)3aRR = 2.9 (0.6–13.8)
Surveillance database study (autoimmune disease)5aRR = 2.6 (0.6–10.7)
Surveillance database study (congenital immune deficiency)12aRR = 1.4 (0.4–4.8)
Surveillance database study (diabetes)1aRR = 0.4 (0.0–14.8)
 Immunosuppression
  Pilishvili 2010 (USA) 33Surveillance study (any immunocompromising condition)IPD3 months–< 5 years2001–2004Children without IPDOR = 4.9 (3.4–6.9) ***
Surveillance study (HIV or immune system disorder)OR = 14.5 (5.7–36.8) ***
Surveillance study (systemic steroid use)OR = 2.2 (1.6–3.0) ***
  van Hoek 2012 (UK)22National GP database studyIPD2–151742008–2009No risk factors for IPDOR = 41.0 (35.0–48.0)
 Sickle-cell disease
  Pilishvili 2010 (USA)33Surveillance studyIPD3 months–< 5 years2001–2004Children without IPDOR = 5.6 (1.6–19.4) **
  Poehling 2010 (TN, USA)27State-managed healthcare database studyIPD (Hb S or C trait)< 5 [–]661996–2005White, with normal HbRR = 1.77 (1.22–2.55)
IPD (Hb S trait)52RR = 1.80 (1.20–2.69)
IPD (Hb C trait)14RR = 1.66 (0.81–3.39)
 Transplant recipients
  Hjuler 2008 (Denmark)32Surveillance database studyIPD0–17181977–2005Children without invasive surgeryaRR = 14.3 (3.0–68.2)
  Tran 2005 (ON, Canada)28Retrospective single-centre studyIPD< 5 [–]5221990–2001All < 2 yearsp = 0.13 (no RR or OR specified)
All < 5 yearsp < 0.001 (no RR or OR specified)
Neoplastic diseases
 Hjuler 2008 (Denmark)32Surveillance database study (all cancers)IPD0–171977–2005Children with no chronic diseasesaRR = 19.0 (8.7–41.5)
Surveillance database study (haematological cancers)44aRR = 52.1 (13.7–198.2)
Surveillance database study (non-haematological cancers)19aRR = 8.9 (3.1–26.1)
 Meisel 2007 (Germany)34Surveillance database study (acute lymphoblastic leukaemia)IPD0–451997–2003General populationSIR = 7.6 (2.8–17.0) ***
5–94SIR = 50.6 (16.1–122.1) ***
0–149SIR = 11.4 (5.6–20.9) ***
 Pilishvili 2010 (USA)33Surveillance study (any cancer)IPD3 months–< 5 years2001–2004Children without IPDOR = 78.0 (10.2–593) ***
 Thomas 2008 (UK)23Regional hospitalisation databaseIPD0–151963–2003General populationRate ratio = 1.39 (0.51–3.03)
Neurological disease
 Hjuler 2008 (Denmark)32Surveillance database study (all neurological disease)IPD0–171977–2005Children with no chronic diseasesaRR = 2.5 (1.7–3.6)
Surveillance database study (epilepsy)37aRR = 2.5 (1.5–4.2)
Surveillance database study (hydrocephalus)17aRR = 1.0 (0.4–2.4)
Prematurity††
 Hjuler 2007 (Denmark)37Multiple database study‡‡IPD0–< 0.5221980–2005Gestational age 37–42 weeksaRR = 2.59 (1.39–4.82)
0.5–< 281aRR = 1.54 (1.18–2.02)
2–522aRR = 1.31 (0.79–2.18)
Tobacco exposure
 Haddad 2008 (USA intermountain west)38Telephone surveyIPD< 141996–2002Children without IPDOR = 0.6 (0.2–2.0)
1–< 26OR = 1.8 (0.4–7.7)
2–< 55OR = 2.6 (0.4–15.3)
5–165OR = 1.2 (0.3–4.6)
 Pilishvili 2010 (USA)33Surveillance study (household exposure to smoking)IPD3 months–< 5 years2001–2004No tobacco exposureOR = 1.4 (1.2–1.7) ***
Surveillance study (> 20 cigarettes/day)OR = 1.7 (1.2–2.4) ***
Surveillance study (11–20 cigarettes/day)OR = 0.9 (0.6–1.3)
Surveillance study (1–10 cigarettes/day)OR = 1.7 (1.3–2.2) ***
General high-risk patients
 Haddad 2008 (USA intermountain west)38Telephone survey§§IPD0–16321996–2002Children without IPD32 of 120 cases vs. 1 of 156 controls (no RR or OR specified)
 Hjuler 2008 (Denmark)32Surveillance database study (all chronic diseases¶¶)IPD0–177441977–2005Children with no chronic diseasesaRR = 2.4 (2.0–2.9)
Surveillance database study (all chronic diseases excluding high-risk groups†††)aRR = 2.1 (1.7–2.6)
 Hsu 2011 (MA, USA)39Surveillance database study‡‡‡IPD0–17142001–2002Children with no known risk conditions
0–17232002–2003aOR = 1.5 (0.7–3.3)
0–17112003–2004aOR = 0.9 (0.4–2.1)
0–17202004–2005aOR = 1.6 (0.7–3.5)
0–17142005–2006aOR = 0.8 (0.4–1.9)
0–17132006–2007aOR = 0.6 (0.3–1.5)
5–17392001–2007aOR = 2.8 (1.8–4.5)
 Pilishvili 2010 (USA)33Surveillance study§§§IPD3 months–< 5 years2001–2004Children without IPDOR = 3.3 (2.4–4.5) ***
 van Hoek 2012 (UK)22National GP database study¶¶¶IPD2–1526108–09No risk factors for IPDOR = 11.7 (10.2–13.3)

p < 0.05; **p < 0.01; ***p < 0.001.

Septal heart defects contributed to 40%.

Major contributors were biliary atresia (26%) and oesophageal atresia (20%).

Major contributors were cerebral cysts (20%), microcephalus (20%) and congenital hydrocephalus (20%).

Concomitant chronic neurological disease in 43%.

‘Prematurity’ defined as gestational age 19–36 weeks.

Databases include national Streptococcus, civil registration, childcare, birth, patient and labour market databases.

‘High risk’ defined as any underlying chronic illness (including cancer, asplenia, lupus, renal failure, liver disease, congenital heart disease, immunosuppressive therapy to prevent transplant rejection, and CNS disorders characterised by severe developmental delay, failure to thrive, or craniofacial structural abnormalities).

The total number is lower than the number of specific chronic diseases because patients may have > 1 of the specific chronic diseases.

Excluding children with cancer, chronic renal disease, splenectomy or transplantation; not adjusted for specific chronic diseases.

‘High-risk’ defined as sickle-cell disease, congenital or acquired asplenia or splenic dysfunction, HIV infection, cochlear implants, congenital immune deficiency, diseases associated with immunosuppressive therapy or radiation therapy, chronic cardiac disease, chronic pulmonary disease, chronic renal insufficiency, cerebrospinal leaks from congenital malformation, skull fracture or neurological procedure, diabetes mellitus, premature birth (< 38 weeks) or low birth weight (< 2500 g).

‘High risk’ defined as any chronic disease.

‘High risk’ defined as asplenia/splenic dysfunction (including sickle-cell disease and coeliac syndrome), chronic renal, hepatic, heart or respiratory disease (including organ transplantation), diabetes mellitus, immunosuppression (including HIV, leukaemia and bone marrow transplantation), cochlear implants and cerebrospinal fluid leaks.

aOR, adjusted odds ratio; aRR, adjusted rate ratio; CI, confidence interval; CNS, central nervous system; GP, general practitioner; Hb, haemoglobin; HIV, human immunodeficiency virus; HR, hazard ratio; IPD, invasive pneumococcal disease; OR, odds ratio; RR, relative risk; SIR, standardised incidence ratio.

Risk of IPD in children p < 0.05; **p < 0.01; ***p < 0.001. Septal heart defects contributed to 40%. Major contributors were biliary atresia (26%) and oesophageal atresia (20%). Major contributors were cerebral cysts (20%), microcephalus (20%) and congenital hydrocephalus (20%). Concomitant chronic neurological disease in 43%. ‘Prematurity’ defined as gestational age 19–36 weeks. Databases include national Streptococcus, civil registration, childcare, birth, patient and labour market databases. ‘High risk’ defined as any underlying chronic illness (including cancer, asplenia, lupus, renal failure, liver disease, congenital heart disease, immunosuppressive therapy to prevent transplant rejection, and CNS disorders characterised by severe developmental delay, failure to thrive, or craniofacial structural abnormalities). The total number is lower than the number of specific chronic diseases because patients may have > 1 of the specific chronic diseases. Excluding children with cancer, chronic renal disease, splenectomy or transplantation; not adjusted for specific chronic diseases. ‘High-risk’ defined as sickle-cell disease, congenital or acquired asplenia or splenic dysfunction, HIV infection, cochlear implants, congenital immune deficiency, diseases associated with immunosuppressive therapy or radiation therapy, chronic cardiac disease, chronic pulmonary disease, chronic renal insufficiency, cerebrospinal leaks from congenital malformation, skull fracture or neurological procedure, diabetes mellitus, premature birth (< 38 weeks) or low birth weight (< 2500 g). ‘High risk’ defined as any chronic disease. ‘High risk’ defined as asplenia/splenic dysfunction (including sickle-cell disease and coeliac syndrome), chronic renal, hepatic, heart or respiratory disease (including organ transplantation), diabetes mellitus, immunosuppression (including HIV, leukaemia and bone marrow transplantation), cochlear implants and cerebrospinal fluid leaks. aOR, adjusted odds ratio; aRR, adjusted rate ratio; CI, confidence interval; CNS, central nervous system; GP, general practitioner; Hb, haemoglobin; HIV, human immunodeficiency virus; HR, hazard ratio; IPD, invasive pneumococcal disease; OR, odds ratio; RR, relative risk; SIR, standardised incidence ratio.

Discussion

This review has revealed the limited data available on the incidence of IPD in children with underlying medical conditions. Very few publications were from European countries, although it should be noted that non-English language publications were excluded from the search. Data on incidence in children were also absent for several conditions known to increase the risk of IPD in children and adults, such as cancer, diabetes mellitus, primary immunodeficiencies and other immune-mediated conditions 50–52. Despite the heterogeneity of study methods, periods and populations, the review clearly shows the increased risk of IPD in at-risk children, particularly those who are immunocompromised, compared with the incidence in the general paediatric population (estimated in the USA at 23.6 per 100,000 children aged < 5 years and at 2.4 per 100,000 in children aged 5–17 years) 53. The incidence of IPD was highest in children with HIV, although one study in children with sickle-cell disease showed a similarly high incidence of IPD. When children of different age groups were compared, the youngest children (i.e. infants) generally had a higher incidence of IPD than older children, although there was still a substantial risk of disease in older children. In studies in which different time points were described there was a clear decrease in the incidence of IPD after the introduction of PCV-7 vaccination into national immunisation programmes, as has also been observed in the general paediatric and adult populations 54. Importantly, one of the case–controlled studies of IPD risk in children described a lower vaccination rate in children with IPD compared with non-IPD controls 38. While PCVs have a limited number of serotypes, those included are associated with a marked clinical burden 55–59. Vaccination of high-risk children, regardless of age, does therefore provide an opportunity to protect them against IPD. It is noteworthy that PPV-23 vaccination of children older than 2 years and at risk of IPD is recommended in some countries. Unfortunately, pneumococcal vaccination coverage in high-risk children is relatively low compared with routine childhood vaccination with PCVs 60–62. For example, an Italian study in children with HIV infection, cystic fibrosis, liver transplantation or diabetes mellitus found that pneumococcal vaccination rates were below 25% in each group 60. Thus, there is a need for education of healthcare professionals, patients and families regarding the importance of vaccination in at-risk children. The increased risk of IPD with tobacco exposure also highlights the importance of broader educational programmes covering environmental factors that may affect disease risk, particularly in children with other risk factors. Studies of risk described an increased risk of IPD in children with underlying conditions compared with controls. The highest risk of IPD was seen in immunocompromised children, particularly in patients with HIV infection or haematological cancer. Other chronic conditions (including, among others, congenital forms of immune deficiency, renal disease and heart disease), however, showed non-significant increases in risk compared with controls. This led the authors of one study to suggest that frailty and susceptibility to disease in general, leading to frequent hospital contacts, may be as strong a predictor of IPD as a stabilised specific underlying condition 32. The main strength of this review is the use of broad inclusion criteria relating to clinical outcomes. Limitations of the review include the predefined risk conditions, which might lead to exclusion of some risk conditions such as hydrocephalus. The studies included were very different in terms of study periods and study methods (survey, surveillance database and cohort studies), providing a very wide range of results. Precaution should be taken when interpreting and comparing these results. Definitions of conditions implying an increased risk for pneumococcal infections and some of the individual risk categories vary between publications. Thus, physicians should refer to their local guidelines and national immunisation recommendations. In conclusion, data on the incidence of IPD in children with underlying medical conditions are limited, and much research is needed in this area to determine the risk of disease, particularly in the post-PCV period. The data available, however, clearly show a substantial incidence of IPD in at-risk children, particularly those who are immunocompromised; there is also a corresponding significant increase in risk compared with healthy children. Recently, PCV-13 became available for the prevention of IPD, pneumonia and acute otitis media in children 6 weeks to 17 years of age, and for the prevention of IPD in adults > 50 years of age 13. Furthermore, a number of European countries are recommending the use of PCVs in individuals with underlying diseases or conditions. Current vaccination recommendations aim to protect against the maximum number of serotypes by combining PCV-13 with PPV-23 5,19. Further research is needed, however, to understand the benefits of PCVs and the optimal vaccination schedule in this population. After implementation of vaccination programmes, surveillance remains of the utmost importance to our understanding of how the risk of disease and the causative serotypes evolve.
  52 in total

1.  Bacterial meningitis among children with cochlear implants beyond 24 months after implantation.

Authors:  Krista R Biernath; Jennita Reefhuis; Cynthia G Whitney; Eric A Mann; Pamela Costa; John Eichwald; Coleen Boyle
Journal:  Pediatrics       Date:  2006-01-03       Impact factor: 7.124

2.  General practitioners' perceptions on pneumococcal vaccination for children in United Kingdom.

Authors:  Anandagiri Shankar; Ravishankar Samraj; Victor Aiyedun; Mandeep Janda; Sam Ramaiah
Journal:  Hum Vaccin       Date:  2009-03-30

3.  Pneumococcal and influenza vaccination rates and their determinants in children with chronic medical conditions.

Authors:  Antonietta Giannattasio; Veronica Squeglia; Andrea Lo Vecchio; Maria Teresa Russo; Alessandro Barbarino; Raffaella Carlomagno; Alfredo Guarino
Journal:  Ital J Pediatr       Date:  2010-03-26       Impact factor: 2.638

4.  Bacterial meningitis among cochlear implant recipients--Canada, 2002.

Authors:  Samantha D Wilson-Clark; S Squires; S Deeks
Journal:  MMWR Suppl       Date:  2006-04-28

5.  Population-based surveillance for childhood invasive pneumococcal disease in the era of conjugate vaccine.

Authors:  Katherine Hsu; Stephen Pelton; Sudharani Karumuri; Dawn Heisey-Grove; Jerome Klein
Journal:  Pediatr Infect Dis J       Date:  2005-01       Impact factor: 2.129

6.  Sickle cell trait, hemoglobin C trait, and invasive pneumococcal disease.

Authors:  Katherine A Poehling; Laney S Light; Melissa Rhodes; Beverly M Snively; Natasha B Halasa; Ed Mitchel; William Schaffner; Allen S Craig; Marie R Griffin
Journal:  Epidemiology       Date:  2010-05       Impact factor: 4.822

7.  Incidence of invasive pneumococcal disease among individuals with sickle cell disease before and after the introduction of the pneumococcal conjugate vaccine.

Authors:  Natasha B Halasa; Sadhna M Shankar; Thomas R Talbot; Patrick G Arbogast; Ed F Mitchel; Winfred C Wang; William Schaffner; Allen S Craig; Marie R Griffin
Journal:  Clin Infect Dis       Date:  2007-04-18       Impact factor: 9.079

8.  Pneumococcal infection in patients with coeliac disease.

Authors:  Harry J Thomas; Clare J Wotton; David Yeates; Tariq Ahmad; Derek P Jewell; Michael J Goldacre
Journal:  Eur J Gastroenterol Hepatol       Date:  2008-07       Impact factor: 2.566

9.  Invasive pneumococcal disease among human immunodeficiency virus-infected children, 1989-2006.

Authors:  Andrew P Steenhoff; Sarah M Wood; Richard M Rutstein; Allison Wahl; Karin L McGowan; Samir S Shah
Journal:  Pediatr Infect Dis J       Date:  2008-10       Impact factor: 2.129

10.  Vaccination of risk groups in England using the 13 valent pneumococcal conjugate vaccine: economic analysis.

Authors:  Mark H Rozenbaum; Albert Jan van Hoek; Douglas Fleming; Caroline L Trotter; Elizabeth Miller; W John Edmunds
Journal:  BMJ       Date:  2012-10-26
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  3 in total

1.  Streptococcus pneumoniae pharyngeal colonization in school-age children and adolescents with cancer.

Authors:  Nicola Principi; Valentina Preti; Stefania Gaspari; Antonella Colombini; Marco Zecca; Leonardo Terranova; Maria Giuseppina Cefalo; Valentina Ierardi; Claudio Pelucchi; Susanna Esposito
Journal:  Hum Vaccin Immunother       Date:  2016       Impact factor: 3.452

2.  Impact of pneumococcal conjugate vaccine on pediatric tympanostomy tube insertion in partial immunized population.

Authors:  Mao-Che Wang; Ying-Piao Wang; Chia-Huei Chu; Tzong-Yang Tu; An-Suey Shiao; Pesus Chou
Journal:  ScientificWorldJournal       Date:  2015-03-09

Review 3.  Pneumococcal vaccination: what have we learnt so far and what can we expect in the future?

Authors:  A Torres; P Bonanni; W Hryniewicz; M Moutschen; R R Reinert; T Welte
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-08-23       Impact factor: 3.267

  3 in total

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