Literature DB >> 28749334

Are pertussis cases reported too late for public health interventions? Retrospective analysis of cases in London and South East England, 2010 to 2015.

Helen Crabbe1,2,3, María Saavedra-Campos4, Neville Q Verlander5, Anusha Leonard4, Jill Morris3, Amanda Wright4, Sooria Balasegaram4.   

Abstract

In the United Kingdom, pertussis guidance recommends prophylaxis for household contacts within 21 days of case symptom onset if the household includes a vulnerable contact. The aim of our study was to identify characteristics associated with cases reported late for public health action. We reviewed the epidemiology of cases reported in London and South East England for the period 2010 to 2015. We characterised risk factors associated with late reporting of cases and described public health actions taken on timely reported cases. From 2010 to 2015, 9,163 cases of pertussis were reported to health protection teams. Only 11% of cases were reported within 21 days of onset, limiting opportunities for secondary prevention. Timely reporting was associated with younger age groups, pregnancy, being a healthcare worker and being reported by schools or hospital clinicians. Late reporting was associated with older age groups and general practitioner or laboratory reporting. Delays, such as those due to insidious onset and late presentation to healthcare, may be unavoidable; however, delay in reporting once a patient presents can be reduced since cases can be reported before laboratory confirmation. Thus we recommend working with clinicians and laboratories to determine causes and improve early reporting to public health. This article is copyright of The Authors, 2017.

Entities:  

Keywords:  Pertussis; epidemiology; post-exposure prophylaxis; public health policy; surveillance; vaccine-preventable diseases

Mesh:

Year:  2017        PMID: 28749334      PMCID: PMC5532964          DOI: 10.2807/1560-7917.ES.2017.22.29.30577

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


Introduction

Pertussis, or whooping cough, is a highly infectious respiratory disease caused by the bacterium Bordetella pertussis. If left untreated, it is transmissible for up to 21 days from onset of cough. However, it becomes non-infectious after 5 days of antibiotic treatment [1]. Despite high levels of immunisation and vaccination coverage of over 95% in the United Kingdom (UK) [2], pertussis has recently re-emerged as a major public health threat [3,4] with a national outbreak in 2012 resulting in several infant deaths [5]. While pertussis was once considered a disease primarily affecting infants and children, many countries currently observe high rates of pertussis among older children, adolescents and adults [6-11]. The risk of severe illness and death is highest among infants younger than 1 year [5-7,11]. Serious illness is less common in older children and adults; however, they can transmit the infection to vulnerable contacts, including the unimmunised or incompletely immunised babies [1,3,7,12]. Timely diagnosis and management of cases are important to minimise transmission and severe disease. This relies on cases seeking medical attention early after the onset of cough and clinicians reporting on clinical suspicion. In England, contact tracing by health protection teams (HPTs) is conducted for cases with onset of cough less than 21 days before reporting (or, if they are a healthcare worker, any duration of cough). Household contacts are offered prophylaxis if any member of the household is in a priority group. Priority groups include vulnerable individuals at risk of severe complications, i.e. unimmunised infants younger than 1 year, individuals at increased risk of transmitting infection to vulnerable individuals, pregnant women (> 32 weeks in gestation), healthcare workers (HCWs) working with infants and pregnant women, people who work with infants too young to be fully vaccinated, and people who share a household with an infant too young to be fully vaccinated [5]. Anecdotal reports suggest that many such cases present late and are reported too late for public health action. On presentation of a suspected case of pertussis, clinicians in general practice, school nurses, hospitals etc should verbally notify the responsible officer of the local HPT within 24 hours, and in writing within 3 days [5]. HPTs contact the clinician or patient by telephone to gather additional details. Dates of onset are given by the reporting person at the time of reporting or estimated if the actual date of onset is unknown. Positive samples from local laboratories are also notified to HPTs through daily electronic laboratory reporting. For these samples, onset date is derived from the laboratory record of received samples if it has been completed, and if not, is estimated by the case management tool as described below. For cases reported within 21 days of symptom onset, public health teams contact the case or healthcare provider to confirm the date of onset and determine if there are any vulnerable or priority contacts in the household who need prophylaxis. The aim of our study was to quantify late reporting and identify characteristics associated with cases reported late for public health action in London and South East England using surveillance data for the period from 2010 to 2015.

Methods

Study design

We conducted a retrospective analysis in which we included all reported confirmed or probable cases of pertussis between 2010 and 2015 who were resident in the area served by our regional unit, i.e. London or South East England (defined as Public Health England region, which includes Thames Valley, Hampshire and the Isle of Wight, Surrey, Sussex and Kent).

Definitions

According to national guidance [5], a confirmed case of pertussis is defined as any person with signs and symptoms consistent with pertussis and for whom B. pertussis has been isolated from a respiratory sample (typically a nasopharyngeal aspirate or nasopharyngeal/perinasal swab) or who have an anti-pertussis toxin IgG titre > 70 IU/mL (in the absence of vaccination within the past year) or for whom B. pertussis has been confirmed by PCR in a respiratory clinical specimen. Serology is only recommended for patients with a cough of at least 14 days [5]. A probable case is defined as any person in whom a clinician suspects pertussis or any person with an acute cough lasting for 14 days or more without an apparent cause, plus one or more of the following: paroxysms of coughing or post-tussive vomiting or inspiratory whoop, in the absence of laboratory confirmation or epidemiologic link to a laboratory-confirmed case. We defined a late case of pertussis as a probable or confirmed case reported to the HPTs more than 21 days from the onset of cough, either due to late presentation to healthcare or late reporting by clinicians. Timely cases were defined as those reported within 21 days of onset of cough.

Data extraction

We extracted data on confirmed and probable cases reported on the HPT’s case management system (HPZone, by Infact, Shipley) including data on demographics, vaccination status, date of report (‘date entered’), date of onset, source of reporting, and occupation of the patient. We imported the data to MS Excel and STATA v12. Duplicates were identified by checking names, date of birth (DOB) and National Health Service (NHS) numbers, and the record with the larger proportion of completed fields was retained. When entering the onset date onto HPZone, the user is required to select their confidence in the onset date. The chosen confidence level determines the onset date recorded by the system. To remove uncertainties around the estimated date of onset, we retained only those cases with either an observed onset date or dates recorded with fair and high confidence. Data on public health management could only be obtained by manually reviewing individual case notes. Owing to the large number of case notes, we were only able to review the timely cases reported in 2015, including validation of the date of onset. Cases without further information on the onset date were excluded as the date could not be validated. Administrative boundaries were obtained from corporate shapefiles kept on the central geographical information system (GIS) server, using Esri’s ArcView v10.2. The index of multiple deprivation (IMD) 2015 score [13] was obtained for each case through postcode matching to lower super output area (LSOA). IMD is the official measure of relative deprivation for small areas or neighbourhoods (LSOAs, with 1,000–3,000 residents) in England and ranks every small area from 1 (most deprived) to 32,844 (least deprived). It combines information from seven domain indices (income, employment, education, health, crime, access to housing and services, and living environment) to produce an overall relative measure of deprivation, with a quintile score from the first quintile representing the least deprived (group 1) to the fifth quintile representing the most deprived (group 5) areas [14]. Population demographics were based on the Office of National Statistics (ONS) 2014 mid-year estimates for HPT areas [15].

Descriptive epidemiology

We characterised demographics (age, sex and geographical location by HPT area), confidence of diagnosis (confirmed or probable), deprivation score, pregnancy status, source of report and occupation of the patient (HCW or education worker) between 2010 and 2015. Incidence rates were calculated for the < 1, 1–9, 10–19, 20–39, 40–59 and ≥ 60 year-old age groups using the residential population as denominator. We calculated mean incidence by dividing the number of cases occurring per year by the resident population per HPT area [15] for the study period and plotted it on a map. The proportions of unknown, timely and late classifications described in the validated dataset for 2015 were applied to the previous years and presented graphically to plot the estimated number and proportion of timely and late cases across the whole study period. For timely reported cases in 2015, we examined case notes for the public health action taken and types of vulnerable and priority contacts identified.

Statistical analysis

We conducted an analysis of the characteristics potentially associated with being classified as a late case in the validated dataset of confirmed and probable pertussis cases reported in 2015. We performed single variable analysis using Pearson’s chi-square test, or Fisher’s exact test. All variables with a significance value of p < 0.2 were included in a logistic regression model along with a priori confounders of age, sex, IMD, season and source of report but omitting those for which more than 20% of individuals had no information. We used a backwards stepwise approach to identify a final model, eliminating variables with the highest p value first from a likelihood ratio test and identifying possible confounders. If a variable did not improve the model it was removed, therefore adjusted odds ratio (aOR) are not available for these predictors. IMD aOR were calculated to show difference of lateness by IMD categories after adjustment by other confounders. Variables with more than 20% missing data were added to the model at the end of the model-building process to check if they improved the model, as their earlier inclusion would have had a negative impact on the model-building process because fewer observations were available in the complete case analysis.

Sensitivity analysis

To check if the effect estimates remained for other years, the statistical analysis was re-run on the unvalidated data from 2010 to 2014, using the initially recorded onset date, again retaining only the cases with observed date and date recorded with fair and high confidence.

Results

We identified 9,311 confirmed and probable cases of pertussis reported from 2010 to 2015. Of these, 10 cases had been denotified and 138 were duplicates, leaving a total of 9,163 cases of whom 7,088 (77%) were confirmed and 2,075 (23%) were probable (Table 1).
Table 1

Demographics and characteristics of pertussis cases reported to health protection teams in London and South East England, 2010–2015 (n = 9,163)

VariableNumber%Confirmed% (row)Probable% (row)
Total9,1631007,088772,07523
Sex
Male4,113453,2247888922
Female5,041553,859771,18223
Information missing915 NA4NA
Age group
Newborn (< 1 month)101172712929
1–3 months38642516514036
4–11 months1462402710673
1–9 years894103584053660
≥ 10 years7,616836,357831,25917
Information missing20110NA5NA
Year of notification
2010140285615539
20113594267749226
20123,688402,644721,04428
20131,776191,4618231518
20141,551171,2758227618
20151,649181,3568229318
Occurred in outbreak year (reported in 2012)?
No5,475404,444811,03119
Yes3,688602,644721,04428
Season
Spring1,700191,3117738923
Summer2,327251,9018242618
Autumn3,171352,4187675324
Winter1,965211,4587450726
Geographical location (health protection team name)
Kent740870896324
Outside London and South East England1811689211
Thames Valley1,266147005556645
Wessex1,282141,0398124319
Sussex/Surrey2,277252,0439023410
North-east and central London1,073127627131129
North-west London61674367118029
South-east London59463876520735
South-west London1,256149597629724
Information missing41a138NA3NA
Location/status
At home8,440926,428762,02424
In hospital100157574343
Deceased61610000
At a temporary address101550550
Information missing6077 592NA3NA
Hospitalised?
No968114504751854
Yes2803184669634
Information missing7,915866,454NA 1,461NA
Ethnicity
White29631444915251
Non-white112143396962
Information missing8,755966,901NA1,854NA
Case status
Probable2,07523NANANANA
Confirmed7,08877NANANANA
Deprivation (index of multiple deprivation 2015 quintiles)
1 (least deprived)80895596924931
21,510161,1147439626
31,733191,3577837622
42,086231,6057748123
5 (most deprived)2,967322,4058156219
Information missing59148NA11NA
Recent travel to another country?
Not travelled59972894831052
Travelled169288528148
Information missing8,395926,711NA1,684NA
Sex/pregnancy status
Male4,113453,2247888922
Female, not pregnant5,022553,851771,17123
Female, pregnant29113451655
Vaccinated
No147269477853
Yes44952064625858
Information missing8,567936,813NA1,739NA
Occupation
Works in healthcare?
No9,048997,030782,01822
Yes115158505750
Works in education?
No9,1321007,075772,05723
Yes31113421858
Source of notification
Health protection team3913077923
General practitioner2,13623655311,48169
Hospital52362945622944
Laboratory report5,775635,72099551
School38117452155
Other65273725728043

NA: not available, not applicable or not known.

a Location information was missing if the case subsequently moved out of the study area.

NA: not available, not applicable or not known. a Location information was missing if the case subsequently moved out of the study area.

Epidemiology of cases in London and South East England in 2010–2015

The majority of cases were older than 10 years (83%) (Table 1). The incidence was highest in those younger than 1 year (273 cases/100,000 population) (Figure 1).
Figure 1

Incidence rate, per 100,000 population, for reported pertussis cases, by age group, London and South East England, 2010–2015 (n = 9,163)

Incidence rate, per 100,000 population, for reported pertussis cases, by age group, London and South East England, 2010–2015 (n = 9,163) In 2012, the outbreak year, 40% (n = 3,688) of the total cases were reported. The number of cases remained steady in subsequent years, with around 1,600 cases reported each year (2013–15) (Figure 2). There is seasonal fluctuation of cases, with the highest number occurring in the autumn (35%). There were six deaths (including five in infants under the age of 1 year); none of the deceased cases were reported late.
Figure 2

Cases of pertussis reported to health protection teams and proportion reported late, per year, London and South East England, 2010–2015 (n = 9,163)

Cases of pertussis reported to health protection teams and proportion reported late, per year, London and South East England, 2010–2015 (n = 9,163) Proportions reported late, timely and unknown are corrected for 2010–14 using proportions found in the validated 2015 data. The mean incidence of pertussis cases between 2010 and 2015 per HPT area ranged from 1 to 14 cases per year per 100,000 population (Figure 3). The proportion of cases increased with the deprivation index, with 32% in the most deprived group compared with 9% in the least deprived (Table 1). There was no difference in the expected proportions in deprivation quintiles for the cases younger than 1 year.
Figure 3

Mean incidence of pertussis cases per 100,000 per year reported to health protection teams (HPT) in 2010–2015 (n = 9,163), and proportion reported late in 2015 by HPT area (n = 1,649), London and South East England

Mean incidence of pertussis cases per 100,000 per year reported to health protection teams (HPT) in 2010–2015 (n = 9,163), and proportion reported late in 2015 by HPT area (n = 1,649), London and South East England

Validation of the cases reported late, using 2015 data

In 2015, 1,649 cases were notified. From the recorded onset date, 619 (38%) were classified as timely, 973 (59%) were late and 57 cases had no onset date recorded (3%). Of the timely cases, detailed case notes were examined for 595; case notes for the others were not available as they were no longer residents of London or South East England, and thus their records would have been transferred to another region. In 187 cases (31%), there was no further information, most often because cases were notified on confirmation by serology (taken after cough of at least 14 days’ duration) and therefore considered to be reported after 21 days [5]. Thus, although most unvalidated cases were likely to be late, they were removed from analysis as we could not assume this was the situation for all of them. Our final dataset for 2015 included 1,376 (83%) cases. Of these, 189 (14%) were reported in a timely manner (within 21 days) and 1,187 (86%) were reported late (Table 2).
Table 2

Number of pertussis cases reported and comparison of demographics and characteristics for non-late and late reporting groups, London and South East England, 2015 (n = 1,649)

Variable Non-late Late Total Missing     Unadjusted OR     (95% CI) p value (chi-square or Fisher’s exact test)        AOR (95% CI)        (adjusted for age, source of report and laboratory confirmation) p value (likelihood ratio test)
n % (column) n % (column) n n
Number18911 (row)1,18772 (row)1,649a273NA NA NA NA
Validated cases (without missing data)18914 (row)1,18786 (row)1,3760 NA NANA NA
Sex
Male844452144605125Ref0.887NANA
Female10556666567711481.02(0.75–1.39)NANA
Age group
Newborn (< 1 month)4210.150Ref < 0.001 Ref < 0.001
1–3 months27141514252.22(0.23–21.7)1.19(0.11–12.4)
4–11 months17960.52301.41(0.13–15.3)1.48(0.13–17.2)
1–9 years4524112915719 9.96 (1.08–91.5) 7.80(0.79–79.1)
≥ 10 years95501,052891,147249 44.3 (4.90–400) 14.4 (1.48–139)
Information missing1 0120NA NA 
Season
Spring38202732331149Ref0.277NANA
Summer573029925356820.73(0.47–1.14)
Autumn462434429390971.04(0.66–1.65)
Winter482527123319450.79(0.50–1.24)
Geographical location (health protection team name)
Kent1051211013116Ref 0.032 NANA
Thames Valley1374445748 0.28 (0.11–0.68)
Wessex211114312164550.56(0.26–1.24)
Sussex / Surrey261430426330950.97(0.45–2.06)
North-east and central London2815121101491 0.36 (0.17–0.77)
North-west London231211091331 0.40 (0.18–0.87)
South-east London29159381221 0.27 (0.12–0.57)
South-west London39212442128351 0.52 (0.25–1.07)
Information missing05055NA 
Hospitalised?
No477088911354Ref 0.001 NANA
Yes203099291 0.24 (0.09–0.61)
Information missing122NA 1,090 NA1,212268NA 
Case status
Probable11862168142867Ref< 0.001 Ref < 0.001
Confirmed71381,019861,090266 10.1 (7.20–14.1) 2.96 (1.92–4.58)
Deprivation (index of multiple deprivation 2015 quintiles)
1 (least deprived)2513110913514Ref 0.002 Ref0.943
2512721018261290.94(0.55–1.59)0.94(0.47–1.86)
3412223120272441.28(0.74–2.21)0.87(0.44–1.74)
429152472127655 1.94 (1.08–3.46) 1.11(0.54–2.28)
5 (most deprived)432338232425128 2.02 (1.18–3.45) 0.90(0.46–1.78)
Information missing0NA 7NA 73NA NA 
Recent travel to another country?
Not travelled30794672763Ref0.428NANA
Travelled82118282601.47(0.52–4.40)
Information missing151 NA1,123 NA1,274270 NA
Sex/pregnancy status
Male844452144605125Ref0.887NANA
Female, not pregnant10153661567621481.06(0.77–1.44)
Female, pregnant4250.590 0.20 (0.05–0.77)
Occupation
Works in healthcare?
No185981,179991,364271Ref 0.048 NANA
Yes4281122 0.31 (0.08–1.44)
Works in education?
No1881001,18499.71,372273Ref0.512NANA
Yes10.530.3400.48(0.04–25.1)
Source of notification
Hospital4122393803Ref < 0.001 Ref < 0.001
General practitioner99522121831116 2.25 (1.37–3.70) 1.18(0.61–2.27)
Laboratory report10585272862242 89.6 (41.8–191) 20.5 (8.52–49.6)
School5310.1610.21(0.02–1.88) 0.54 (0.01–0.52)
Other341882711611 2.54 (1.40–4.59) 1.23(0.60–2.53)

AOR: adjusted odds ratio; CI: confidence interval; NA: not available, not applicable or not known; Ref: reference group for comparison.

Numbers in bold indicate a significant result at the p < 0.05 level.

Analysis does not include missing data.

a This total includes cases with missing information on timeliness.

AOR: adjusted odds ratio; CI: confidence interval; NA: not available, not applicable or not known; Ref: reference group for comparison. Numbers in bold indicate a significant result at the p < 0.05 level. Analysis does not include missing data. a This total includes cases with missing information on timeliness.

Single variable analysis

Cases older than 1 year had higher odds of being reported late. Being a confirmed case (odds ratio (OR) = 10.1; 95% confidence interval (CI): 7.20–14.1, compared with probable) and higher deprivation quintiles (e.g. quintile 5; OR = 2.02; 95% CI: 1.18–3.45, compared with quintile 1) were associated with late reporting. Cases reported by a hospital clinician were more likely to be timely, compared with a general practitioner (GP) or a laboratory report as the source (Table 2). Being hospitalised at the time of reporting, working in healthcare (OR = 0.31; 95% CI: 0.08–1.44) or education, or being pregnant was also associated with timely reporting (Table 2).

Multivariable analysis

In the final adjusted multivariable model, adjusted for age, laboratory confirmation and source of report, being 10 years or older (aOR = 14.4; 95% CI: 1.48–139), being a confirmed case (aOR = 2.96; 95% CI: 1.92–4.58), and source being a laboratory report (aOR = 20.5; 95% CI: 8.52–49.6) compared with reporting from hospital clinician, were all significantly associated with being reported late. Conversely, cases reported by schools were more likely to be timely (Table 2). In the sensitivity analysis using data from 2010 to 2014, similar effects were found. Age (e.g. ≥ 10 years: OR = 7.31; 95% CI: 4.18–12.8, compared with newborns (< 1 month-old)), being a confirmed case (aOR = 2.03; 95% CI: 1.72–2.42), and source being a laboratory report (aOR = 2.19; 95% CI: 1.68–2.85) compared with reporting from hospital clinicians, all remained significant. Using the larger dataset we also found that being reported in autumn as opposed to spring (aOR = 1.25; 95% CI: 1.08–1.46) was associated with late reporting and being a HCW with early reporting (aOR = 0.54; 95% CI: 0.35–0.83), also adjusted for HPT area. The number of unknown, timely and late cases in other years (2010–14) was estimated in Figure 2, using the validated corrections to the original proportions of lateness found.

Public health action taken on timely reported cases, 2015 dataset

For the 619 cases reported within 21 days of symptom onset in 2015, a risk assessment was performed which found that 31% (n = 189) required contact tracing. Vulnerable and/or priority contacts were identified for 20 of those cases (11%), of whom 18 were recorded as having contacts that were advised to take prophylaxis. The types of high-risk and/or vulnerable contacts encountered were mostly HCW and infants younger than 1 year (Table 3).
Table 3

Number of vulnerable and priority contacts identified for timely confirmed and probable cases of pertussis, London and South East England, 2015 (n = 595a)

Type of priority contact n %
Contacts at risk of transmitting to vulnerable contact
Healthcare workers1141
Pregnant women > 32 weeks27
Prolonged contact with infants < 4 months14
Vulnerable contacts, increased risk of severe disease
Infants < 1 year in household726
Other/unspecified vulnerable contact in household415
Infant < 4 months in household27
Subtotal b 27 100
No priority contacts identified56895
Total b 595 100

a 595 of the 619 cases had detailed records for review.

b Some cases had more than one priority or vulnerable contact.

a 595 of the 619 cases had detailed records for review. b Some cases had more than one priority or vulnerable contact.

Discussion

The reported incidence of pertussis was highest in the age group of under 1 year-olds which is consistent with previous findings [3,5,6,16-18]. However, as disease is more likely to be severe in those aged under 1 year, often requiring hospitalisation, our study found that this group was more likely to be reported in a timely manner. Some changes in incidence over time are likely to be due to changes in laboratory testing methods. The rise in cases before the outbreak in 2012 was due to improved ascertainment in older age groups and the introduction of serology testing in 2001 [5,19]. The sustained number of cases after 2012 is likely to be due to better awareness of reporting, but also improved diagnostics and laboratory testing (PCR, serology and oral fluid). Since 2014, regional laboratories have offered a pertussis PCR service for patients in all age groups in both hospital and primary care settings [5]. A national oral fluid testing service was also introduced in January 2013 [5]. In our study, we identified that 86% of cases in 2015 were reported to the HPT more than 21 days after date of onset, with 63% of all cases reported by laboratories. Serology testing can only be used two weeks after symptom onset, so by the time the result is reported, it is likely to be received after the 21-day window, hence HPTs risk assess all these cases as late. The serological assay is targeted towards older children and adults [5], which could explain the higher risk of lateness in older age groups. Increased odds of late reporting for confirmed cases compared with probable cases suggest that clinicians may not always be reporting on clinical suspicion but on laboratory confirmation. There are also higher odds of late reporting from laboratory reports and by GPs compared with hospital clinicians (aOR = 20.5; 95% CI: 8.52–49.6; p < 0.001). There may be practical considerations in waiting for laboratory confirmation. A clinician may not initially report cases with mild symptoms and insidious onset if pertussis is only a differential diagnosis. A physician who suspects pertussis as a minor differential diagnosis may not report every time they order a pertussis test. However, according to public health regulations [20], when clinicians suspect pertussis as a probable or the most likely diagnosis, they should report on clinical suspicion regardless of the accuracy of their diagnosis; thus reporting in this subset could be improved. In addition, clinicians can also report cases as ‘possible’ where pertussis is not thought to be the most likely diagnosis. In the UK, immediate public health actions are only completed for confirmed and probable cases. Reporting of possible cases would allow for timely follow-up of laboratory results, and therefore, actions may be taken if a possible case later becomes a confirmed case. Our study shows that there are more reported pertussis cases in the more deprived areas, but this did not occur in cases younger than 1 year. Late reporting was not related to deprivation after adjustment. The increased incidence in more deprived groups may reflect service use, access, vaccine uptake, living conditions or other determinants of health. Younger age groups, HCWs, education workers and pregnant women were more likely to be reported in time, suggesting that clinicians do recognise the importance of public health interventions to prevent severe disease in vulnerable groups. Prophylaxis of contacts was indicated for 11% of cases reported in a timely fashion in 2015. Although effectiveness of secondary prophylaxis is limited [21], it is still important to administer in order to prevent severe disease in vulnerable contacts or transmission to the vulnerable from priority contacts. English guidance limits prophylaxis to those who need it [5] but, compared with vaccination, it is a measure which controls disease by preventing secondary transmission. Chen and Orenstein [22] suggest that owing to a number of biases, cases of disease reported to surveillance systems are not random and reported cases are more likely to be more severe. It is not known how representative the cases included in this study are, although findings are in line with other studies [6,7,11]. Despite legal requirements on clinicians to notify pertussis cases on clinical suspicion [20], HPTs would not necessarily be notified of all community cases of pertussis, so the true incidence and prevalence of pertussis is unknown. However, similar epidemiological findings were seen in Barcelona in the period from 2009 to 2012 [6], where 82% of cases were laboratory-confirmed: Similar incidence rates (1.2–6.3/100,000 person-years) were reported, and most confirmed cases were under 1 year-old (87.9%). Hospitals reported the majority of cases (72%), reporting more confirmed cases than suspected cases (aOR = 2.8; 95% CI: 1.7–4.6; p < 0.05, compared with primary care centres). We found a similar proportion of 77% confirmed and 23% probable cases. Pertussis is part of the infant vaccination programme in England. A pertussis-containing vaccine (5-in-1 vaccine, DTaP/IPV/Hib) is offered to infants at 2, 3 and 4 months of age [18]. A booster dose of pertussis-containing vaccine is given to children from 3 to 5 years of age. We have shown that a third (34%) of the cases younger than 4 months were reported late (Table 2), at an age with a greater risk of severe disease, as they would not yet have received the full course of vaccinations. This higher risk continues in the partially vaccinated group of 4–11-month-olds, with 26% of cases being reported late. Maternal vaccination is key to reducing disease in neonates. In 2016, Public Health England recommended a change of schedule for the maternal vaccination programme (in place since 2012) so that the vaccine is now offered between 16 and 32 weeks of gestation [5,18], as evidence supported effectiveness [23,24] even if given earlier in pregnancy than the third trimester, and it is hoped this will also improve uptake. Most cases are reported too late for public health intervention. Late cases are likely to be an amalgamation of late presentation to clinical services and late diagnosis, or late reporting by the person assessing the case, e.g. cases where pertussis is a differential diagnosis, or awaiting laboratory confirmation when the diagnosis should be made on clinical grounds. This level of information is not routinely recorded, and so it is difficult to allocate cases accurately to these categories. Some cases will always present late, for instance because of the milder nature of the disease in adults and older children. Improvements should focus on the cases where it is possible to notify earlier, e.g. on high probability on clinical suspicion rather than waiting for laboratory confirmation.

Limitations

Our study has a number of limitations. Firstly, the dataset may be incomplete and does not necessarily represent all pertussis cases, and under-reporting is likely to occur for milder cases. For practical reasons, we could only validate onset date for one year’s worth of data (2015). We chose the most recent whole year to be representative of current practice. Initial dates of onset may not be accurate. However, they are likely to be verified when the risk assessment takes place. Therefore, misclassification of cases as timely or late is likely to be small. Using ‘date entered’ as a proxy for reporting date is likely to reflect accurately the reporting date and if not, the difference is unlikely to be by more than one day, having a small effect on our estimates. A case reported on serology is highly likely to be late, although we excluded these. Therefore, our calculated proportion of late cases is likely to be underestimated.

Conclusions

Although it is encouraging that cases in young, hospitalised or pregnant individuals or in HCWs were reported in time for public health management, many cases were reported late either due to delays in presentation to health services or late reporting by the clinician. Exploring the reasons for late reporting could help understand the high levels of late reporting described in the study. When implemented, public health interventions, including contact tracing, identified a small number of vulnerable and/or priority contacts in the 2015 cases. Although secondary prophylaxis is recognised as having a limited effect in preventing secondary transmission [5,21], given the potential severity of disease in vulnerable contacts, it is still considered essential to protect the very vulnerable by the use of prophylaxis. Thus the need to renew efforts for vaccination of the very young and vulnerable populations and to improve early reporting is apparent. Education of GPs and clinicians on the importance of reporting cases in a timely manner and regular reminders to key audiences communicating the risk of late reporting of cases should occur. This includes feedback to GP groups to encourage reporting on clinical suspicion. Communicating the risk factors for late reporting and targeting health services providing care for the very young, unimmunised and vulnerable will help to address the differences in reporting. This should include GP clinical commissioning groups for local health services, HCWs and workers coming into contact with high-risk groups (nurseries, childcare, schools and maternal services).
  15 in total

Review 1.  Pertussis of adults and infants.

Authors:  C H Wirsing von König; S Halperin; M Riffelmann; N Guiso
Journal:  Lancet Infect Dis       Date:  2002-12       Impact factor: 25.071

Review 2.  Epidemiologic methods in immunization programs.

Authors:  R T Chen; W A Orenstein
Journal:  Epidemiol Rev       Date:  1996       Impact factor: 6.222

3.  Evaluation of reported cases of pertussis: epidemiological study in a large city in Spain.

Authors:  Rubén Solano; Cristina Rius; Pere Simón; Sandra Manzanares-Laya; Miriam Ros; Diana Toledo; Àngela Domíngez; Joan A Caylà
Journal:  J Med Microbiol       Date:  2014-09-26       Impact factor: 2.472

4.  Trends in hospital admission rates for whooping cough in England across five decades: database studies.

Authors:  Nick Haslam; Uy Hoang; Michael J Goldacre
Journal:  J R Soc Med       Date:  2014-02-13       Impact factor: 5.344

5.  Evidence of Bordetella pertussis infection in adults presenting with persistent cough in a french area with very high whole-cell vaccine coverage.

Authors:  Serge Gilberg; Elisabeth Njamkepo; Isabelle Parent Du Châtelet; Henri Partouche; Pascale Gueirard; Christian Ghasarossian; Martin Schlumberger; Nicole Guiso
Journal:  J Infect Dis       Date:  2002-07-11       Impact factor: 5.226

Review 6.  Pertussis and persistent cough: practical, clinical and epidemiologic issues.

Authors:  Kenneth Frumkin
Journal:  J Emerg Med       Date:  2012-12-31       Impact factor: 1.484

Review 7.  Pertussis: Microbiology, Disease, Treatment, and Prevention.

Authors:  Paul E Kilgore; Abdulbaset M Salim; Marcus J Zervos; Heinz-Josef Schmitt
Journal:  Clin Microbiol Rev       Date:  2016-07       Impact factor: 26.132

8.  Accelerating control of pertussis in England and Wales.

Authors:  Helen Campbell; Gayatri Amirthalingam; Nick Andrews; Norman K Fry; Robert C George; Timothy G Harrison; Elizabeth Miller
Journal:  Emerg Infect Dis       Date:  2012-01       Impact factor: 6.883

9.  Prevalence, diagnosis, and disease course of pertussis in adults with acute cough: a prospective, observational study in primary care.

Authors:  Jolien Teepe; Berna D L Broekhuizen; Margareta Ieven; Katherine Loens; Kris Huygen; Mirjam Kretzschmar; Hester de Melker; Chris C Butler; Paul Little; Beth Stuart; Samuel Coenen; Herman Goossens; Theo J M Verheij
Journal:  Br J Gen Pract       Date:  2015-10       Impact factor: 5.386

10.  Maternal Immunization Earlier in Pregnancy Maximizes Antibody Transfer and Expected Infant Seropositivity Against Pertussis.

Authors:  Christiane S Eberhardt; Geraldine Blanchard-Rohner; Barbara Lemaître; Meriem Boukrid; Christophe Combescure; Véronique Othenin-Girard; Antonina Chilin; Jean Petre; Begoña Martinez de Tejada; Claire-Anne Siegrist
Journal:  Clin Infect Dis       Date:  2016-01-20       Impact factor: 9.079

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  2 in total

1.  Pertussis epidemiological pattern and disease burden in Brazil: an analysis of national public health surveillance data.

Authors:  Eliana Nogueira Castro De Barros; Altacilio Aparecido Nunes; Ariane De Jesus Lopes De Abreu; Bárbara Emoingt Furtado; Otavio Cintra; Monica Act Cintra; Eduardo Barbosa Coelho
Journal:  Hum Vaccin Immunother       Date:  2019-07-24       Impact factor: 3.452

2.  Pertussis diagnostic practices of general practitioners in the Netherlands: A survey study.

Authors:  Jeanne Heil; Jochen W L Cals; Henriëtte L G Ter Waarbeek; Christian J P A Hoebe; Nicole H T M Dukers-Muijrers
Journal:  Eur J Gen Pract       Date:  2019-08-13       Impact factor: 1.904

  2 in total

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