Introduction
Group A Streptococcus (
Streptococcus pyogenes, GAS) is an important human pathogen causing infections from mild pharyngitis to life-threatening invasive infections (iGAS) [
1‐
3]. Pharyngitis is the most common disease manifestation of GAS. In 5–15% of adults and 15–35% of children with pharyngitis, GAS is found as the causative agent [
1‐
4]. Asymptomatic throat carriage is also recognized especially in young children [
5]. Since late 2022, several European countries have reported increased numbers of GAS infections, especially scarlet fever and iGAS infections in children [
6‐
8].
M-protein is the most important virulence factor of GAS.
Emm typing is based on sequencing of the hypervariable region of
emm gene that codes the M-protein. There are currently over 260 different
emm types recognized [
9]. Same
emm types may cause both invasive and mild infections, and associations between specific
emm types and certain infection foci have been reported [
3,
10]. Currently, there is no vaccine available against GAS. However, there are several vaccine candidates in clinical trials [
11]. Reports on epidemiology and distribution of
emm types and among iGAS are available [
12], but those on GAS pharyngitis are scarcer [
3].
Here we describe the results from a prospective over 2-year study on epidemiology of GAS pharyngitis in two large hospital districts in Finland. Our results show a significant difference in the prevalence of GAS pharyngitis between different age groups and gender. In addition, a clear pattern of seasonal variation in emm-type distribution was observed.
Methods
Study settings
GAS throat cultures were collected from two clinical microbiology laboratories in Finland: Turku University Hospital, Clinical microbiology laboratory in Hospital district of Southwest Finland (hereafter HD1), serving a population of 470,000 and Fimlab laboratories in Pirkanmaa Hospital district (hereafter HD2), serving a population of 520,000. At the time when this study was conducted, the Finnish Current Care Guidelines on diagnostics of acute pharyngitis recommended a throat culture to be performed especially if GAS infection and subsequent antimicrobial treatment was considered. This practise was commonly followed.
In HD1, the clinical laboratory randomly selected 10 MALDI-TOF confirmed Streptococcus pyogenes cultures from their routine pharyngitis diagnostics to be included in this study. Isolates were collected weekly for a 32-month period (March 2018–December 2020). Collection halted for 6 weeks (16.3.–26.4.2020) due to the COVID-19 pandemic. The culture plates were transferred to the University of Turku, for analysis and storage. If more than 10 cultures were delivered, all were included to have a good presentation of the circulating isolates. The isolation date and age and gender of the patients were recorded. The data was anonymized, and only arbitrary study codes were used.
For comparison, simultaneous collection of S. pyogenes pharyngitis isolates from HD2 was conducted. Similarly, to HD1, MALDI-TOF confirmed S. pyogenes isolates were sent in agar transport tubes to University of Turku in larger batches. The year of isolation was provided. The strains were processed with an arbitrary study code and analysed similarly to isolates from HD1.
Microbiological analysis and emm typing
Beta-haemolytic bacterial colonies were selected from the original throat culture plates and from isolates provided on transport tubes after reculturing on blood agar (TSA with sheep blood, BD). GAS isolates were confirmed with Lancefield antigen agglutination test (Remel
TM Streptex
TM Latex Group A, ThermoFisher). All isolates were
emm typed using the CDC protocol [
9].
For analysis,
emm subtypes of the main
emm types (
emm1,
emm4,
emm12,
emm28 and
emm89) were grouped under the corresponding
emm type (for example
emm12.0 and
emm12.37 were grouped into
emm12). Due to the high prevalence of
emm1.25 subtype, it was analysed separately and considered as an
emm type in this study (Online Resource
1). The seven most common
emm types (
emm1,
emm1.25,
emm4,
emm12,
emm28,
emm75 and
emm89) were studied individually and the rest jointly under the group “others”.
In addition to
emm types, isolates were analysed based on the
emm cluster classification [
13].
Seasonality analysis
Seasonality analysis was performed only for isolates from HD1. The study period was divided into quarters representing the seasons: spring (March to May), summer (June to August), autumn (September to November) and winter (December to February). For the seasonality analysis, months after the onset of the COVID-19 pandemic (3/20–12/20) were excluded. The quarters of the remaining 2 years (3/18–2/20) were combined by season (6 months each). Seven most common emm types (emm1, emm1.25, emm4, emm12, emm28, emm75 and emm89) were studied individually and the rest jointly under the group “others”. In addition, seasonality was analysed on emm cluster level.
Vaccine coverage analysis
The coverage of
emm types of pharyngitis isolates collected in this study was evaluated in relation to composition of the 30-valent M-protein-based GAS vaccine candidate
s under development [
14].
Invasive GAS isolates
Clinical microbiological laboratories notify iGAS cases (isolations from blood and cerebrospinal fluid) and send the isolates to the National Infectious Disease Register (NIDR) maintained by the Finnish Institute of Health and Welfare (THL). THL performs
emm typing for the isolates [
9]. In this study,
emm-type distribution data and year of isolation on all registered iGAS isolates in HD1 and HD2 covering January 2018–December 2020 were retrieved from NIDR.
Statistical methods
Age and gender distribution analysis and seasonality analysis were only performed with the data from HD1. Due to asymmetrical distribution, median age was reported with range. For further analysis, age was categorized in 10-year age groups. Categorical data (emm type, gender, age group, season, months after onset of the COVID-19 pandemic) was summarized with counts (n) and percentages. Associations between categorical data were analyzed by the chi-square test. The prevalence of emm types in relation to patient age and gender was analyzed using binary logistic regression. First gender, age group and the interaction term between gender and age group were added to the multivariate models and from these models, non-significant factors were gradually omitted. Odds ratios (OR) with 95% Wald confidence intervals (95%CI) were reported. Because of the limited amount of data from iGAS isolates, only descriptive statistics were reported and it was not possible to carry out the association between seasonality and age and gender. All tests were performed as two-sided with a significance level set at 0.05. The analyses were carried out using SAS System, version 9.4 for Windows (SAS Institute Inc., Cary, NC, US).
Discussion
This study describes the epidemiology of group A streptococcal pharyngitis in two hospital districts in Southern Finland covering approximately one million inhabitants. Systematic, prospective collection allowed to study variation in the emm-type distribution and the seasonality.
From the HD1, a clear difference was observed in the age distributions and prevalence between the genders. In females, the cases occurred more uniformly until the age of 40, whereas in males most cases were in early childhood. Similar observations have recently been reported from a retrospective, register-based study from Canada [
15]. The reasons behind these differences remain unknown and can only be speculated. Social and occupational factors may also affect the findings such as contacts with children in general. Our observation that young boys were overrepresented is worth further investigation; the distribution of GAS pharyngitis between genders in relation to age is not often studied. Asymptomatic carriage of GAS has been reported to be over 10% for children over 5 years of age [
16,
17], which may reflect the higher disease burden as well. In our study, most of the isolates were collected from 5 to 9-year-olds.
In Western countries, same
emm types such as
emm1,
emm89 and
emm28, have been observed to associate with both iGAS and pharyngitis [
8,
12,
17‐
22]. The same was noticed also in our study.
Interestingly,
emm28 was found to be common within 20–29-year-olds. Noteworthy,
emm28 has previously been associated to iGAS infections in fertile aged women and puerperal sepsis [
18,
23]. No statistical differences between gender and age groups were observed in this study, which might be due to the small number of cases per group.
The finding that
emm89 was more common in children under 10 years of age, is new, but not unexpected. A new acapsular clone of
emm89 emerged in the mid-2010s in many countries, including Finland [
24]. This clone has an advantage in persistence and transmission also among pharyngitis cases [
25,
26].
Most of the isolates were cultured during autumn and winter, which is supported by previous studies [
15,
27]. Interestingly, the prevalence of
emm1,
emm1.25,
emm4 and
emm28 were not affected by season. The dominance of
emm1 in our collection might reflect to the contemporary
emm1 iGAS epidemic in Finland [
28]. Likewise, the disappearance of
emm1.25 from both hospital districts by 2020 may reflect the same. Similarly,
emm4 and
emm28 have been associated with epidemic behaviour [
21].
Two hospital districts were included to broaden the epidemiological and geographical coverage of the study. The major difference observed was that
emm1 dominated only in HD2. An
emm1 iGAS epidemic occurred in HD2 in 2019, whereas in HD1 just before our study [
29]. Interestingly, the
emm type distributions in these two districts varied also between the pharyngitis and iGAS isolates. This underlies the fact that regional epidemiology may vary also within relatively short distances (
c. 160 kilometres in between).
Due to overall high morbidity of GAS infections, a vaccine against GAS would be important. In our study, the putative coverage of the M-protein-based GAS vaccines would be over 97%, which is in line with other studies [
3,
10,
21]. Due to the cross protection between
emm types, the coverage might even be wider [
11]. However, regional differences in
emm distribution occur, which complicate putative vaccination strategies [
10].
The study period included the start of the COVID-19 pandemic, which changed the epidemiology of GAS pharyngitis. The number of GAS-positive pharyngitis cultures decreased, and the
emm type distribution diversified with previously less common
emm types arising. As however the proportion of GAS pharyngitis isolates included into our study during these months remained high, we find this observation of interest. A similar switch in
emm types has been reported within the iGAS cases in Finland and elsewhere [
8,
28,
30]. Recently, a surge of GAS infections has been noted in many countries, probably linked to a higher proportion of individuals susceptible to these infections due to less exposure to GAS as result of pandemic lockdown measures [
6,
7].
Our study has some limitations. The study protocol aimed to collect a scientifically representative set of GAS pharyngitis isolates within a certain time frame. We acknowledge that the study material covers only part of all culture positive GAS findings in the respective clinical laboratories. Cultures were collected from GAS-positive pharyngitis patients, but GAS carriers suffering from viral pharyngitis may have though been included. Our collection may include multiple isolates from one individual, as these could not be excluded during the collection process. The collection procedure differed slightly between the hospital districts, which limited the analysis of seasonality and patient characteristics to include only HD1. Lastly, we acknowledge that the clinical microbiological laboratories which collected the GAS isolates serve mainly the public health care system leaving private sector and occupational health care neglected.
Acknowledgements
We thank Tuula Rantasalo, Desiree Corander, Mari Virta and Natalie Tomnikov for excellent technical assistance with sample processing and bacteriological assays. The material is original and has not been published elsewhere. Parts of this study were presented as a poster at the Annual meeting of the Nordic Society of Clinical Microbiology and Infectious Diseases (NSCMID) on 3–6 September 2021 in Turku, Finland.
Ville Kailankangasa,b, Jaana Syrjänena,b, Johanna Vilhonenc, Jarmo Oksic, Risto Vuentod
aDepartment of Internal Medicine, Tampere University Hospital, Finland
bFaculty of Medicine and Health Technology, Tampere University, Finland
cDepartment of Infectious Diseases, Turku University Hospital, Finland
dFimlab laboratories, Tampere, Finland
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