Trivalent inactivated influenza vaccine safety in children: Assessing the contribution of telephone encounters

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink

OBJECTIVE

Local reactions are the most common vaccine-related adverse event. There is no specific diagnosis code for local reaction due to vaccination. Previous vaccine safety studies used non-specific diagnosis codes to identify potential local reaction cases and confirmed the cases through manual chart review. In this study, a natural language processing (NLP) algorithm was developed to identify local reaction associated with tetanus-diphtheria-acellular pertussis (Tdap) vaccine in the Vaccine Safety Datalink.

METHODS

Presumptive cases of local reactions were identified among members ≥ 11 years of age using ICD-9-CM codes in all care settings in the 1-6 days following a Tdap vaccination between 2012 and 2014. The clinical notes were searched for signs and symptoms consistent with local reaction. Information on the timing and the location of a sign or symptom was also extracted to help determine whether or not the sign or symptom was vaccine related. Reactions triggered by causes other than Tdap vaccination were excluded. The NLP algorithm was developed at the lead study site and validated on a stratified random sample of 500 patients from five institutions.

RESULTS

The NLP algorithm achieved an overall weighted sensitivity of 87.9%, specificity of 92.8%, positive predictive value of 82.7%, and negative predictive value of 95.1%. In addition, using data at one site, the NLP algorithm identified 3326 potential Tdap-related local reactions that were not identified through diagnosis codes.

CONCLUSION

The NLP algorithm achieved high accuracy, and demonstrated the potential of NLP to reduce the efforts of manual chart review in vaccine safety studies.

Study of Common Illnesses Before and After Vaccination: A Risk interval Approach

OBJECTIVE

To compare the proportion of children who developed a specified illness in the 7 day post-vaccination window, with the background rate of the same event in the 7 day pre-vaccination window.

STUDY DESIGN

Risk interval approach (Self-controlled case-series).

SETTING

Well Baby Clinic of Christian Medical College, Vellore.

PARTICIPANTS

1602 healthy infants and under-six children presenting for routine vaccination.

OUTCOME MEASURES

Episode of any illness.

METHODS

The interviewer enquired about any adverse event or illness experienced by the child for each day of the week preceding the administration of age-appropriate vaccines. A second interview (telephonic) was conducted by the same interviewer one week following vaccine administration to enquire about adverse event(s) experienced by the child for each day of the subsequent week using a similar protocol.

RESULTS

With multiple vaccines delivered at appropriate ages, common childhood illnesses that could be reported as adverse events following immunization, except fever (RR=5.7, 95% CI=4.50-7.35), occurred at higher rates pre-vaccination. Risk Ratios of fever following whole cell (RR=9.3, 95% CI=6.43-13.52) and acellular (RR=8.5, 95% CI=3.82-18.91) vaccines were similar, with both showing a decreasing trend with increasing age. The gastrointestinal adverse event profile [diarrhea (RR=0.6, 95% CI=0.14-2.51) and vomiting (RR=1.0, 95% CI=0.14-7.10)] for rotavirus vaccine was similar pre- and post-immunization.

CONCLUSIONS

Since most adverse events to vaccines are also common childhood illnesses, estimating the background rates of common illnesses is important to accurately ascertain a causal relationship.

Self-reported adverse reactions in 4337 healthcare workers immunizations against novel H1N1 influenza

PURPOSE

The use of the 2009 H1N1 vaccine has generated much debate concerning safety issues among the general population and physicians. It was questioned if this is a safe vaccine. Therefore, we investigated the safety of an inactivated monovalent H1N1 pandemic influenza vaccine

METHODS

We focused on the H1N1 pandemic influenza vaccine Pandemrix® and applied a self reporting questionnaire in a population of healthcare workers (HCWs) and medical students at a major university hospital.

RESULTS

In total, 4337 individuals were vaccinated, consisting of 3808 HCWs and 529 medical students. The vaccination rate of the employees was higher than 40%. The majority of individuals were vaccinated in November 2009. In total, 291 of the 4337 vaccinations were reported to lead to one or more adverse reactions (6.7%). Local reactions were reported in 3.8%, myalgia and arthralgia in 3.7%, fatigue in 3.7%, headache in 3.1%.

CONCLUSIONS

Our data together with available data from several national and international institutions points to a safe pandemic influenza vaccine.

Risk of immune hemolytic anemia in children following immunization

Several case reports have described immune hemolytic anemia (IHA) following vaccination in children. We examined the risk of IHA in the 42 days following vaccination exposure using a self-controlled case series study design. In our population-based cohort of nearly 4.5 million children in the Vaccine Safety Datalink, we identified 55 confirmed cases of new-onset IHA from 1991 through 2000. We found no association between IHA and diphtheria-pertussis-tetanus vaccination (incidence rate ratio (IRR)=0.65, 95% CI: 0.19-2.24), hepatitis B vaccination (IRR=1.73, 95% CI: 0.59-5.01), or any vaccination (IRR=1.04, 95% CI: 0.46-2.32).