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Record W1992418017 · doi:10.1097/inf.0b013e3181c37e03

Haemophilus Disease in Alaskan and Canadian Children

2010· letter· en· W1992418017 on OpenAlexaboutno aff
Michael G. Bruce, Rosalyn Singleton, Marcus Lem, Tammy Zulz, Jay D. Wenger, Thomas Hennessy

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2010
Typeletter
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePopulationDemographyDiseasePediatricsEnvironmental healthPathology

Abstract

fetched live from OpenAlex

To the Editors: The recent report by Greenberg, et al.1 on invasive Haemophilusinfluenzae type b (Hib) disease in Canada raises several interesting points concerning Canadian Aboriginal and Alaska Native populations, both of which share a tendency toward very high invasive Hib rates. We are concerned about a possible misinterpretation of the data presented and a conclusion related to vaccine use in high-risk populations. On page 526, lines 8 to 10, the authors state “The rates of invasive Hib disease were similar among the Canadian Aboriginal population (0.8 cases per 100,000 per year) and Alaska Native population (1.0 cases per 100,000 per year).” Several aspects of this calculation and associated comparison of rates appear flawed. First, to calculate the quoted rates, the authors divided the number of cases in children less than 5 years of age in each population by the total number of people of all ages in that population (Table 1). The result is expressed as “cases/100,000 per year” but they have actually calculated “cases of disease in children less than 5 years of age per 100,000 persons of all ages per year.” Such rates are usually expressed by matching the numerator and denominator to the same age group. The author's nonstandard rate calculation does not provide the actual rate of Hib disease in this population. Since the proportion of children <5 in each of these populations is about 10%, the actual rate of Hib disease in children less than 5 is about 10 times higher than stated in this sentence. Secondly, the authors compared rates in Northern Canadian Aboriginal children from 2000 to 2004 with those in Alaska Native children from 2002 to 2006. Thus, in only 3 of the 7 years evaluated in the study both sites can be directly compared. A review of data from the International Circumpolar Surveillance (ICS) network showed 11 cases of invasive Hib disease in Northern Canadian Aboriginal children <5 years of age and 6 in Alaska Native children <5 years of age during the period 2001–2007, with rates of 17.0 and 6.0 cases/100,000 per year, respectively. These rates are not only much higher than the rates noted by the authors, but substantially higher than rates in children in the rest of Canada and the United States. On page 527, in the last sentence of the manuscript, the authors write “... DTap-IPV/Hib vaccine is expected to provide the same level of protection in the United States as experienced with this combination vaccine in Canada, and as currently experienced in the United States with separate vaccines.” This conclusion is problematic for 2 reasons. First, any presumption of equivalency of vaccines for specific high-risk populations, in the absence of clinical trials in that population, must be interpreted with caution. Readers may interpret Greenberg, et al.'s conclusion to mean that DTap-IPV/Hib (PRP-T) vaccine will provide the same level of protection for Alaska Native and American Indian children as the currently used PRP-OMP vaccine, which is likely to be incorrect. With use of the PRP-OMP vaccine, rates of invasive Hib disease in Alaska Native children–which were 6 to 10 times higher than in other US children–declined dramatically.2 Based on the high risk of invasive Hib disease within the first 6 months of life in Alaska Native and American Indian children, the Indian Health Service and the American Academy of Pediatrics recommend that the first dose of Hib conjugate vaccine contain PRP-OMP (single antigen vaccine or combination vaccine with other antigens).3 Administration of the first dose of PRP-OMP vaccine leads to more rapid development of protective antibody levels than HbOC or PRP-T vaccines4 which require 2 to 3 doses to achieve protective antibody levels in most children. During the mid 1990s, Alaska Native children began receiving HbOC instead of PRP-OMP, and experienced excess cases of Hib disease until the program switched back to PRP-OMP.2 The experience in Alaska demonstrates that the early protection offered by PRP-OMP vaccine is important in indigenous populations who experience early onset of Hib disease. Second, although DTap-IPV/Hib (PRP-T) vaccine has dramatically decreased Hib disease in Canadian populations, the rates of invasive Hib disease are actually higher in Northern Canadian Aboriginal children <5 than in Alaska Native children of the same age (as demonstrated above). Among Indigenous children <1 year of age (where impact of early seroconversion is most important), ICS data from 2001 to 2007 demonstrate rates of 71/100,000 in Northern Canada and 14/100,000 in Alaska (P < 0.008). Given the high risk of disease in young Aboriginal children, there may be a benefit in Northern Canadian jurisdictions to using a vaccine with properties similar to PRP-OMP for First Nations and Inuit children. This approach has also been used in Australia5 and New Zealand.6 Michael Bruce, MD, MPH Centers for Disease Control and Prevention Anchorage, Alaska Rosalyn Singleton, MD, MPH Alaska Native Medical Center Anchorage, Alaska Marcus Lem, MD, MHSc First Nations and Inunit Health Vancouver, British Columbia Tammy Zulz, MPH Jay Wenger, MD Thomas Hennessy, MD, MPH Centers for Disease Control and Prevention Anchorage, Alaska

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.548
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0040.001
Open science0.0030.001
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.204
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2010
Admission routes1
Has abstractyes

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