Partial protection of seasonal trivalent inactivated vaccine against novel pandemic influenza A/H1N1 2009: case-control study in Mexico City
BMJ 2009; 339 doi: https://doi.org/10.1136/bmj.b3928 (Published 06 October 2009) Cite this as: BMJ 2009;339:b3928
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Authors’ response to Skowronski and colleagues
The letter by Skowronski and colleagues[1] questions the effectiveness
of seasonal vaccine against pandemic A/H1N1 influenza that we observed in
our study. As we mentioned in the article the estimates for vaccine
effectiveness could be inflated owing to a high prevalence of chronic
conditions and vaccination in our control population. The vaccine
effectiveness against laboratory confirmed cases of influenza A/H1N1
described in our study was of 73% (95% confidence interval 34% to 89%).
Confidence intervals are wide and similar to confidence intervals of
effectiveness that has been described when seasonal influenza vaccine
strains are not antigenically well matched to circulating endemic strains:
[50% (95% CI 27% to 65%)] among healthy adults and [36% (95% CI 24% to
46%)] among healthy children.[2,3] Available information regarding
effectiveness provided by seasonal vaccines for pandemic strains indicates
some level of protection against antigenically differing influenza strains
occurring in epidemics.[4-6] Therefore we consider it is highly probable that
the effectiveness we observed in our study is real.
We do not agree with the comment of Skowronski and colleagues that
cases and controls emerged from different source populations. Both cases
and controls came from the population that is served by the study hospital
and we ensured that our study group resided in the same geographical area
(Mexico City and the State of Mexico) which had the majority of
notifications for influenza during the study period. Therefore the
controls had the same probability of being exposed to infective
individuals as cases. Both cases and controls were patients who requested
medical care during the study period. Although the study hospital is a
specialty hospital, a considerable proportion of its patient population is
not referred as the referral system is poor. Differences between cases and
controls regarding underlying chronic diseases are explained by the
characteristics of the patient population that requests clinical care at
the study hospital that includes both patients with acute (many of which
occur among previously healthy individuals) and chronic respiratory
diseases.
Figures for vaccine coverage are limited nationwide. National
estimates for vaccination coverage are only available for certain age
groups (6-35 months, children aged 3-9 years, and adults older than 50)
and not for young people and adults aged 10-49.[7] This is the reason that
led us to model the association between vaccine status and influenza
A/H1N1 for each age group. Therefore we do not agree with the comparison
between observed prevalence of seasonal vaccination among influenza cases
occurring in a specialty hospital in Mexico City in our study and the
estimation of national coverage made by Skowronski and colleagues.
Regarding timing of recruitment in relation to immunization, for both
cases and controls we investigated trivalent inactivated influenza
vaccination for the 2008-9 winter season (October 2008 through February
2009). If the vaccine was administered before or after this season, we
considered that he/she had not been vaccinated during the 2008-9 winter
season. We agree with Skowronski and colleagues that one of the
limitations of the study was that we investigated seasonal vaccination by
face to face or telephone interview of the patients or close relatives.
Trained staff used a standardised format to reduce the bias associated
with vaccine status. We differentiated if the interviewed person was
informed or not regarding vaccine status.
We agree that age is an important confounder. Thus we frequency
matched our study by age and socioeconomic status (as an indicator of
access to health services). We re-analyzed our results by unconditional
logistic regression including the matching variables in the model.
Adjusted odds ratio (aOR) and estimation of effectiveness did not differ
from those published: aOR of 0.26 (95% CI 0.10 to 0.65) and effectiveness
of 74% (95% CI 35% to 90%) by unconditional logistic regression as
compared to 0.27 (0.11 to 0.66) and vaccine effectiveness of 73% (95% CI
34% to 89%) in our published study.
We consider that although our study provides preliminary evidence of
a protective effect of seasonal vaccination against influenza A/H1N1
virus, it is prone to limitations due to small sample size and the
retrospective study design. Therefore, similar studies in other settings
are needed to confirm or refute our results.
Submitted by
Lourdes Garcia-Garcia, MD, DrSc
Instituto Nacional de Salud Pública, Cuernavaca, Mor, Mexico
Jose Luis Valdespino-Gómez, MD, MPH
Laboratorios de Biológicos y Reactivos de México (BIRMEX), Distrito
Federal, Mexico
References
1. Janjua N, Skowronski D, Hottes T, Serres G, Crowcroft N.
Conspicuous selection bias is the likeliest explanation for findings of
seasonal vaccine protection against pandemic H1N1 in Mexico City. British
Medical Journal 2009;339:b3928.
2. Demicheli V, Di Pietrantonj C, Jefferson T, Rivetti A, Rivetti D.
Vaccines for preventing influenza in healthy adults. Cochrane Database of
Systematic Reviews 2007, Issue 2. Art. No.: CD001269. DOI:
10.1002/14651858.CD001269.pub3.
3. Jefferson T, Rivetti A, Harnden A, Di Pietrantonj C, Demicheli V.
Vaccines for preventing influenza in healthy children. Cochrane Database
of Systematic Reviews 2008, Issue 2. Art. No.: CD004879. DOI:
10.1002/14651858.CD004879.pub3.
4. Mogabgab WJ, Leiderman E. Immunogenicity of 1967 polyvalent and 1968
Hong Kong influenza vaccines. Jama 1970;211:1672-6.
5. Tumpey TM, Garcia-Sastre A, Taubenberger JK, Palese P, Swayne DE,
Basler CF. Pathogenicity and immunogenicity of influenza viruses with
genes from the 1918 pandemic virus. Proc Natl Acad Sci U S A 2004;101:3166
-71.
6. Serum cross-reactive antibody response to a novel influenza A (H1N1)
virus after vaccination with seasonal influenza vaccine. MMWR Morb Mortal
Wkly Rep 2009;58:521-4.
7. Centro Nacional para la Salud de la Infancia y la Adolescencia. Logro
de metas del Programa de vacunación anti-influenza 2008-2009. Centro
Nacional para la Salud de la Infancia y la Adolescencia. Secretaría de
Salud. México.
Competing interests:
JLV-G is employed by Laboratorios de Biológicos y Reactivos de México (BIRMEX)
Competing interests: No competing interests
The rapid response to the article "Conspicuous selection bias is the
likeliest explanation for findings of seasonal vaccine protection against
pandemic H1N1 in Mexico City" by Danuta M. Skowronski, Naveed Z. Janjua,
Danuta M. Skowronski , Travis S. Hottes, Gaston De Serres, Natasha S.
Crowcroft, and Laura C. Rosella, is a well worded epidemilogical audit of
the study. It serves the purpose in highlighting the mastery of
epidemiological glossary by the authors. It is so critical that the action
taken by Mexican authorities in the abscence of any other choice available
to them tantamounts to a futile excercise, despite the cautious note by
the authors of the original article. The message by Danuta et al by their
response might confuse the readers not to use any available option while
treating clinical cases, fearing or otherwise about the possible
correctness as measured by epidemiological experts.
Competing interests:
None declared
Competing interests: No competing interests
RE: Partial protection of seasonal trivalent inactivated vaccine
against novel pandemic influenza A/H1N1 2009: case-control study in Mexico
City BMJ 2009;339:b3928
The effectiveness reported by Garcia-Garcia et al. for 2008-09
trivalent influenza vaccine (TIV) against pandemic A/H1N1 (pH1N1) virus
(73%; 95%CI 34%-89%) is remarkable. It is not much different from vaccine
effectiveness (VE) estimates of ~80% during seasons when TIV is closely
matched to circulating strains and far exceeds VE estimates of ~50% during
seasons of minor TIV mismatch to closely-related drift variants[1,2]. How
then to reconcile such dramatic cross-protection for TIV against pH1N1
virus when it shares so much less in common antigenically with TIV
components? The clue to explaining these results may be found in the
second set of paradoxical results reported by the same study: participants
with chronic conditions appear at 80% (95% CI 55%-91%) reduced risk of
pH1N1 hospitalization compared to healthy individuals –a finding that
lacks coherence with known risk factors for severe influenza outcomes and
signals methodological concerns.
This case-control study was conducted at the National Institute of
Respiratory Diseases in Mexico City, a specialty clinic that accepts
referrals and also provides primary and hospital care to the local
community. Although the 60 cases and 180 controls came from the same city
and Institute, there is evidence that they emerged from different source
populations. Cases more often presented directly and with severe disease
requiring hospitalization (98% vs. 34%). Controls were more often seen
following specialty referral. As such, hospitalized cases more closely
reflect immunization rates in the community whereas controls reflect
referrals with higher health care contact and greater immunization
opportunities.
A significantly higher proportion of controls (65%) compared to cases
(25%) had chronic conditions. Individuals with comorbidity are a priori
more likely to receive TIV under the kind of high-risk influenza
immunization program administered in Mexico. The types of chronic
conditions also differed between cases and controls: 28% of controls had
asthma compared to 3% of cases; whereas 3% of controls compared to 12% of
cases had diabetes. Asthmatics are more likely to be referred to a
specialty respiratory clinic and may also have higher likelihood of TIV
immunization than diabetics. The proportion of young adult controls with
chronic conditions in this study (57%) was 10-fold higher than population
estimates of ~5% for Mexico City[3]. The proportion immunized among
controls (29%) was also >3-fold higher than expected based on TIV doses
distributed per capita in Mexico (94/1000 or 9%)[4]. Selection bias
driving high rates of chronic conditions among controls would have
resulted in the paradoxical impression that both underlying comorbidity
and prior TIV immunization provide pH1N1 protection. Comparison of crude
immunization rates between cases (13%) and the general population (9%)
gives a different impression of negative rather than protective vaccine
effect and adjusted case-cohort analyses based on community profiles may
be worth further examination.
Authors do not present the timing of recruitment in relation to
immunization efforts. Within a few weeks of recognizing the epidemic in
Mexico, the Mexican Health Minister and other health authorities strongly
recommended seasonal vaccine for those not yet immunized[5,6]. This led to
highly publicized queues for influenza vaccine in Mexico City. This
introduces further potential bias related to non-contemporaneous controls.
If recruited cases had developed their severe illness earlier in the
outbreak they would have lost subsequent opportunities for immunization
that controls then accrued following public pronouncements. Proxy
respondents were also used in this study to ascertain immunization status
for some participants. The distribution of proxy-elicited TIV status was
not reported, but since cases more often than controls were ventilated
(43% vs. 2%) and died (30% vs. 1%), it is likely that ascertainment of
immunization status for cases relied more on proxies with imperfect recall
compared to self-report by controls. This could have contributed to
higher immunization rates among controls relative to cases and further
exaggerated the impression of vaccine benefit.
Finally, authors report study design based on frequency matching
using broad categories of age and socio-economic status yet also report
data analysis based on conditional logistic regression (CLR). CLR is the
wrong analytical approach for adjustment when frequency (rather than
paired) matching has been used[7]. Age exerts a strong influence on both
likelihood of immunization and risk of pH1N1 illness. Failure to
appropriately adjust for this confounder overall or in sub-analyses of
hospitalized or healthy participants would also be critical to consider
had not other biases already superseded this concern. Ultimately, no
analytical technique –not restriction, stratification or adjustment -can
overcome selection bias. Based on conspicuous evidence in the data
presented, we conclude that this study’s statistically significant but
implausible findings of >70% TIV protection against pH1N1 illness and 5
-fold reduced risk of hospitalization in people with chronic conditions
are best explained by selection bias exacerbated by a combination of
recall bias and inadequate adjustment for confounding.
Submitted by:
Naveed Z. Janjua MD, MSc, DrPH
Danuta M. Skowronski MD, MHSc, FRCPC
Travis S. Hottes MSc
BC Centre for Disease Control
Vancouver, British Columbia, Canada
Gaston De Serres MD, PhD
Institut national de santé publique du Québec
Natasha S. Crowcroft MA MSc MD(Cantab) MRCP FFPH
Laura C. Rosella PhD, MHSc
Ontario Agency for Health Protection and Promotion
Toronto, Ontario, Canada
References:
1) Jefferson T, Rivetti A, Harnden A, Di Pietrantonj C, Demicheli V.
Vaccines for preventing influenza in healthy children. Cochrane Database
Syst Rev. 2008 Apr 16;(2):CD004879.
2) Jefferson TO, Rivetti D, Di Pietrantonj C, Rivetti A, Demicheli V.
Vaccines for preventing influenza in healthy adults. Cochrane Database
Syst Rev. 2007 Apr 18;(2):CD001269.
3) Fedson D. Increasing the overall epidemic vaccination coverage:
The macroepidemiology of Influenza vaccination. Third European Influenza
Conference Vilamoura 14-17 September 2008.
www.flucentre.org/files/fedson.ppt Accessed: October7, 2009.
4) Kuri-Morales P, Emberson J, Alegre-Díaz J, Tapia-Conyer R, Collins
R, Peto R, Whitlock G. The prevalence of chronic diseases and major
disease risk factors at different ages among 150,000 men and women living
in Mexico City: cross-sectional analyses of a prospective study. BMC
Public Health. 2009 Jan 9;9:9. http://www.biomedcentral.com/1471-2458/9/9
5) Lacey M, McNeil Jr. DG. Fighting Deadly Flu, Mexico Shuts Schools.
New York Times. April 24, 2009.
http://www.nytimes.com/2009/04/25/world/americas/25mexico.html . Accessed
October 7, 2009.
6) Randewich N, Tovar A. Mexico closes schools, begins emergency
vaccination program after swine flu outbreak. Agence France-Presse and
Canwest News Service. Ottawa Citizen. April 24, 2009. Accessed October 7,
2009.
http://www.ottawacitizen.com/health/Mexico+closes+schools+begins+emergen...
7) Greenland S, Schwartzbaum JA, Finkle WD. Problems due to Small
Samples and Sparse Data in Conditional Logistic Regression Analysis Am. J.
Epidemiol. 2000;151:531 - 539.
Competing interests:
Danuta M. Skowronski has previously (>3 years ago) received research grant funding from GSK and Sanofi-Pasteur. Gaston De Serres has received research grant funding from GSK and Sanofi-Pasteur. No other authors have conflicts of interest to declare.
Competing interests: No competing interests
Clinical efficiency after one dose of Pandemrix in Norway
There is ongoing debate whether previous vaccine-induced immunity
against seasonal flu may provide some protection against pandemic A(H1N1)
flu (1,2). Linked to this question is the issue how fast clinical
protection may be attained with the new vaccines against pandemic flu.
Textbook knowledge is that serum antibody levels peak 2-4 weeks after
vaccination in primed, healthy individuals (3). For unprimed individuals,
children, elderly and the immunosuppressed it is expected that more than
one dose of vaccine may be necessary and that it may take longer time to
attain immunity.
In Norway a mass vaccination campaign against pandemic A(H1N1) flu
started 19 October 2009. So far 1.7 million adult doses of inactivated,
adjuvanted vaccine (Pandemrix, produced by GlaxoSmithKline) have been
distributed in a population of 4.8 million people. The number of doses
administered is unknown. For the first 4 weeks of the campaign the
vaccines were given to defined risk groups and to health workers with
direct patient contact. Children between 6 months and 10 years were given
one half of the adult dose. It was decided to withhold the second dose
until all Norwegians have been offered one dose of the pandemic vaccine.
From the first day of the campaign, each given dose could be linked to a
vaccinee on the basis of unique personal numbers of each Norwegian
inhabitant. Data were often entered after a certain lag period, and
currently the vaccine registry contains data on pandemic flu vaccine for
about 700 000 people. The vaccine registry does not yet contain data on
vaccination against seasonal flu.
Norway was struck hard by flu during the second half of October and
the first half of November 2009. By use of a sentinel data system it was
estimated that 300 000 Norwegians were infected during week 45. This was
the highest influenza figure recorded during a week since registration
started 15 years ago. Only 1 per cent of the cases were laboratory
verified due to laboratory restraint. Testing was essentially done for
patients with serious symptoms and to people co-residing with risk-group
individuals.
Patients with laboratory verified flu are routinely reported to the
National Institute of Public Health. By the end of week 48 (29 November
2009) 105 persons were reported with laboratory verified influenza A(H1N1)
in spite of vaccination. The Table gives numbers of vaccine doses
distributed and numbers of new flu cases among vaccinees per week.
Complete information for the dates of both vaccination and first symptoms
were available for 91 of the 105 reports.
The great majority of the 91 vaccinees identified in our data set
came down with laboratory verified flu just a few days after vaccination.
Two patients were vaccinated by mistake after the disease had occurred. 47
vaccinees had their first symptoms between day 0 and day 4, and twenty
eight vaccinees had their first symptoms between day 5 and day 9. Eight
vaccinees had their first symptoms between day 10 and day 14 after
vaccination and only six vaccinees had first symptoms after 14 days. Some
characteristics of the patients were given on the written reports. 10 of
the 14 vaccinees with the first day of symptoms later than day 10 after
vaccination belonged to groups that were scheduled for a second vaccine
dose (8 children below ten years of age and 2 immunosuppressed patients).
The four remaining “vaccine failures” comprised one pregnant woman, one
child who had just experienced its tenth birthday, one patient with
chronic asthma, and one elderly person exposed to massive transmission of
flu from three other family members.
This study clearly has limitations, and valid statistical calculation
of vaccine efficiency cannot be made. However, the data indicate that
during a period of intense transmission few vaccinees contracted
laboratory verified influenza A(H1N1) later than 9 days post vaccination.
Hence, in our population the pandemic vaccine performed similar to
efficacious vaccines against seasonal flu in seasons with a good fit
between vaccine and virus strain (3). One dose of pandemic vaccine may
provide sufficient protection for immunocompetent adults, but two doses
seem to be necessary for children under the age of ten years and for
immunosuppressed people. One of the primary aims of the continued
surveillance in Norway will be to investigate possible waning of immunity
after one, respectively two doses of pandemic vaccine.
Svenn-Erik Mamelund, Senior Adviser, PhD, Norwegian Institute of
Public Health, Div. of Infectious Disease Control, Vaccine department, PO
Box 4404 Nydalen, NO-0403 Oslo, Norway
Svenn-Erik.Mamelund@fhi.no
Jann Storsæter, Senior Physician, PhD, Norwegian Institute of Public
Health, Div. of Infectious Disease Control, Vaccine department, PO Box
4404 Nydalen, NO-0403 Oslo, Norway
Inger Lise Haugen, Adviser, Norwegian Institute of Public Health, Div. of
Infectious Disease Control, Vaccine department, PO Box 4404 Nydalen, NO-
0403 Oslo, Norway
Maren Stapnes Ege, Senior Adviser, Norwegian Institute of Public Health,
Div. of Infectious Disease Control, Vaccine department, PO Box 4404
Nydalen, NO-0403 Oslo, Norway
Marianne A. Rise Bergsaker, Senior Physician, Norwegian Institute of
Public Health, Div. of Infectious Disease Control, Vaccine department, PO
Box 4404 Nydalen, NO-0403 Oslo, Norway
1. Garcia-Garcia L, Valdespino-Gómez JL. BMJ 2009;339:b4978
2. Serum cross-reactive antibody response to a novel influenzae A(H1N1)
virus after vaccination with seasonal influenzae vaccine. MMWR Morb Mortal
Wkly Rep 2009;58:521-4
3. Bridges CB et al. Inactivated influenza vaccines. In: Plotkin S,
Orenstein W, Offit P. editors. Vaccines. 5th edition. Elsevier; 2008. p.
259-290.
Competing interests:
None declared
Competing interests: No competing interests