Variable |
Overall, N = 483 |
2008–2013, n = 89 |
2014–2019, n = 394 |
---|---|---|---|
Sex | |||
F | 228 (47.2) | 48 (53.9) | 180 (45.7) |
M | 255 (52.8) | 41 (46.1) | 214 (54.3) |
Age, y, median (interquartile range) | 62 (41–75) | 60 (37–75) | 64 (41–75) |
Age group, y | |||
<5 | 24 (5.0) | 4 (4.5) | 20 (5.1) |
5–17 | 43 (4.8) | 5 (5.6) | 18 (4.6) |
18–34 | 45 (9.3) | 12 (13.5) | 33 (8.4) |
35–49 | 58 (12.0) | 10 (11.2) | 48 (12.2) |
50–64 | 104 (21.5) | 20 (22.5) | 84 (21.3) |
65–79 | 147 (30.4) | 21 (23.6) | 126 (32.0) |
≥80 | 92 (17.0) | 17 (19.1) | 65 (16.5) |
Race/ethnicity | n = 444† | n = 83† | n = 361† |
Hispanic | 22 (5.0) | 2 (2.4) | 20 (5.5) |
Non-Hispanic | |||
White | 390 (87.8) | 74 (89.2) | 316 (87.5) |
Black | 4 (0.9) | 1 (1.2) | 3 (0.8) |
American Indian/Alaska Native | 18 (4.1) | 5 (6.0) | 13 (3.6) |
Asian | 5 (1.1) | 1 (1.2) | 4 (1.1) |
Native Hawaiian/Pacific Islander | 5 (1.1) | 0 (0.0) | 5 (1.4) |
Residence type | n = 428* | n = 71* | n = 357* |
Private residence | 349 (81.5) | 56 (78.9) | 293 (82.1) |
Long-term care or nursing facility | 63 (14.7) | 13 (18.3) | 50 (14.1) |
Homeless | 9 (2.1) | 1 (1.4) | 8 (2.2) |
Correctional facility | 7 (1.6) | 1 (1.4) | 6 (1.7) |
Table 1. Demographics of patients with invasive group A Streptococcus disease, overall and by 6-year periods, Idaho, USA, 2008–2019*
*Values are no. (%) patients except as indicated. †Excludes cases with missing data.
Variable |
Unadjusted odds ratio* (95% CI) |
p value |
Adjusted odds ratio† (95% CI) |
p value |
---|---|---|---|---|
Sex | ||||
F | Referent | |||
M | 1.4 (0.9–2.2) | 0.16 | ||
Age group, y | ||||
0–17 | 1.2 (0.5–2.8) | 0.71 | 1.3 (0.5–3.3) | 0.63 |
18–49 | Referent | Referent | ||
50–64 | 1.2 (0.6–2.3) | 0.65 | 1.6 (0.7–3.8) | 0.29 |
65–79 | 1.7 (0.9–3.2) | 0.13 | 1.7 (0.8–3.8) | 0.16 |
≥80 | 1.1 (0.5–2.1) | 0.90 | 1.1 (0.5–2.6) | 0.84 |
Ethnicity | ||||
Non-Hispanic | Referent | |||
Hispanic | 2.4 (0.5–10.4) | 0.25 | ||
Residence type | ||||
Private | Referent | Referent | ||
Long-term care or nursing facility | 0.7 (0.4–1.4) | 0.37 | 0.7 (0.3–1.5) | 0.33 |
Correctional facility | 1.2 (0.1–9.7) | 0.90 | 1.9 (0.1–36.7) | 0.67 |
Homeless | 1.5 (0.2–12.5) | 0.69 | 0.7 (0.1–4.8) | 0.74 |
Underlying conditions | ||||
Diabetes | 0.9 (0.5–1.5) | 0.68 | ||
Heart disease: congestive heart failure or coronary artery disease | 1.3 (0.7–2.3) | 0.46 | ||
Obesity | 1.3 (0.7–2.4) | 0.49 | 1.2 (0.6–2.5) | 0.58 |
Chronic kidney disease or failure | 1.6 (0.7–3.6) | 0.30 | ||
Chronic obstructive pulmonary disease | 0.8 (0.4–1.8) | 0.62 | ||
Cancer | 2.4 (0.7–7.9) | 0.17 | ||
Immunosuppression | 2.0 (0.5–8.6) | 0.37 | ||
Hepatitis C or chronic liver disease | 1.5 (0.4–6.9) | 0.57 | ||
Other‡ | 2.3 (0.3–18.2) | 0.42 | ||
Any underlying condition | 0.9 (0.5–1.7) | 0.75 | ||
Other risk factors | ||||
Skin injury | 1.0 (0.6–1.7) | 0.97 | ||
Cigarette smoking | 0.9 (0.5–1.9) | 0.82 | ||
Alcohol abuse | 0.9 (0.3–2.3) | 0.75 | ||
Injection drug use | 3.4 (0.2–60.0) | 0.40 | 3.2 (0.2–63.0) | 0.45 |
Table 2. Individual risk factor and multivariable analysis of risk factors comparing invasive group A Streptococcus cases during 2014–2019 with cases from the 2008–2013 baseline period, Idaho, USA
*Standard logistic regression analysis performed unless otherwise noted. An odds ratio >1 indicates higher odds of being in the 2014–2019 period. †Firth logistic regression used to account for separation attributable to limited sample size and highly predictive risk factors. For multivariable analysis, results for residence type and injection drug use represent total effect and results for age group and obesity represent direct effect. ‡Other underlying conditions include paralysis, neurologic conditions, and developmental delay.
Type of infection or clinical syndrome |
No. (%) patients |
p value‡ |
||
---|---|---|---|---|
Overall, N = 476† |
2008–2013, n = 82† |
2014–2019, n = 394 |
||
Bacteremia without focus§ | 163 (34.2) | 34 (41.5) | 129 (32.7) | 0.13 |
Cellulitis | 197 (41.4) | 30 (36.6) | 167 (42.4) | 0.33 |
Pneumonia | 80 (16.8) | 15 (18.3) | 65 (16.5) | 0.69 |
Streptococcal toxic shock syndrome | 25 (5.3) | 0 (0.0) | 25 (6.4) | 0.02 |
Septic arthritis | 24 (5.0) | 6 (7.3) | 18 (4.6) | 0.30 |
Empyema | 19 (4.0) | 4 (4.9) | 15 (3.8) | 0.65 |
Necrotizing fasciitis | 12 (2.5) | 4 (4.9) | 8 (2.0) | 0.14 |
Osteomyelitis | 6 (1.3) | 0 (0.0) | 6 (1.5) | 0.26 |
Meningitis | 4 (0.8) | 0 (0.0) | 4 (1.0) | 0.36 |
Other¶ | 3 (0.6) | 1 (1.2) | 2 (0.5) | 0.46 |
Table 3. Clinical syndromes of invasive group A Streptococcus disease, overall and by 6-year periods, Idaho, USA, 2008–2019*
*Cases can have >1 type of infection or clinical syndrome. †Excludes 7 cases with missing data on type of infection or clinical syndrome, all during 2008–2013. ‡By χ2 test. §Group A Streptococcus isolated from blood, with no other clinical syndrome identified. ¶Other includes abscess, epiglottitis, and pelvic inflammatory disease.
Risk factor |
No. (%) patients |
||
---|---|---|---|
Overall, N = 432* |
2008–2013, n = 69* |
2014–2019, n = 363* |
|
Any underlying condition | |||
No | 113 (26.2) | 17 (24.6) | 96 (26.5) |
Yes | 319 (73.8) | 52 (75.4) | 267 (73.6) |
Condition | |||
Diabetes | 178 (41.2) | 30 (43.5) | 148 (40.8) |
Heart disease: congestive heart failure or coronary artery disease | 116 (26.9) | 16 (23.2) | 100 (27.6) |
Obesity | 95 (22.0) | 13 (18.8) | 82 (22.6) |
Kidney disease: chronic kidney disease or chronic kidney failure | 61 (14.1) | 7 (10) | 54 (14.9) |
Chronic obstructive pulmonary disease or emphysema | 43 (10.0) | 8 (11.6) | 35 (9.6) |
Cancer | 38 (8.8) | 3 (4.3) | 35 (9.6) |
Immunosuppression | 22 (5.1) | 2 (2.9) | 20 (5.5) |
Hepatitis C or chronic liver disease | 18 (4.2) | 2 (2.9) | 16 (4.4) |
Other† | 13 (3.0) | 1 (1.4) | 12 (3.3) |
Total underlying conditions | |||
0 | 115 (26.6) | 17 (24.6) | 98 (27.0) |
1 | 113 (26.2) | 24 (34.8) | 89 (24.5) |
2 | 93 (21.5) | 10 (14.5) | 83 (22.9) |
≥3 | 111 (25.7) | 18 (26.1) | 93 (25.6) |
Skin injury | |||
Any skin injury | n = 412* | n = 70* | n = 342* |
No | 211 (51.2) | 36 (51.4) | 175 (51.2) |
Yes | 201 (47.8) | 34 (48.6) | 167 (48.8) |
Type of skin injury‡ | n = 201 | n = 34 | n = 167 |
Nonsurgical wound | 127 (63.2) | 22 (64.7) | 105 (62.9) |
Surgical wound | 17 (8.5) | 3 (8.8) | 14 (8.4) |
Trauma§ | 47 (23.4) | 8 (23.5) | 39 (23.4) |
Burn | 2 (1.0) | 0 | 2 (1.2) |
Skin breakdown | 3 (1.5) | 1 (2.9) | 2 (1.2) |
Other | 5 (2.5) | 0 | 5 (3.0) |
Behavioral risk factors | |||
Current cigarette smoking¶ | n = 375* | n = 60* | n = 315* |
No | 310 (82.7) | 49 (81.6) | 261 (82.9) |
Yes | 65 (17.3) | 11 (18.3) | 54 (17.1) |
Substance abuse | n = 386* | n = 63* | n = 323* |
Alcohol abuse | 27 (7.0) | 5 (7.9) | 22 (6.8) |
Methamphetamine use | 6 (1.6) | 0 | 6 (1.8) |
Injection drug use | 8 (2.1) | 0 | 8 (2.5) |
None of the above | 346 (89.6) | 58 (92.1) | 288 (89.2) |
Other risk factors | n = 389* | n = 66* | n = 323* |
GAS pharyngitis | 31 (8.0) | 7 (10.6) | 24 (7.4) |
Household member with GAS | 8 (2.1) | 2 (3.0) | 6 (1.9) |
Influenza | 12 (3.1) | 4 (6.1) | 8 (2.5) |
None of the above | 336 (86.4) | 54 (81.8) | 282 (87.3) |
Table 4. Underlying conditions and risk factors of patients with invasive group A Streptococcus disease, overall and by 6-year periods, Idaho, 2008–2019
*Excludes missing data. †Other underlying conditions include paralysis, neurologic conditions, and developmental delay. ‡Data from 201 cases with a skin injury reported. §Cut, laceration, or puncture wounds. ¶Does not include e-cigarette use or vaping.
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Using statewide reportable disease surveillance data supplemented by information from medical record review, we investigated the epidemiology of iGAS in Idaho over a 12-year period, during which incidence increased ≈>4-fold. The ABCs program, which does not include data from Idaho, identified a similar increase in nationwide iGAS incidence per 100,000 persons, from 3.69 in 2008 to 7.63 in 2019[1,12,23]. In Canada, incidence per 100,000 persons rose from 4.42 in 2008 to 8.12 in 2019 (https://diseases.canada.ca/notifiable/charts).
In Idaho, average annual iGAS incidence during our study was 2-fold as high among American Indian or Alaska Native persons compared with white non-Hispanic persons. Higher iGAS incidence among indigenous compared with nonindigenous populations has been reported in multiple settings, including the United States, Australia, and New Zealand[24]. In Alberta, Canada, iGAS incidence was 6-fold as high and increasing more rapidly among First Nation compared with non-First Nation populations, rising to 52.2 cases per 100,000 persons in 2017[25]. Neither the proportion of cases occurring among American Indian and Alaska Native persons nor the racial and ethnic distribution of Idaho’s population changed substantially during our study period (Appendix Table 2).
Approximately three quarters of iGAS patients had ≥1 underlying medical condition; diabetes, obesity, and skin injuries were common, emphasizing the need for diabetes management and wound care to reduce the risk for iGAS associated with these conditions[4,5]. The high proportion of cases associated with skin injury or infection is consistent with national data; in 2019, a total of 44.7% of iGAS case-patients had cellulitis[1]. Two outbreaks and a household cluster were identified through routine surveillance, all during 2014–2019; emm typing made outbreak detection easier. Because the state public health laboratory only began emm typing in 2014, earlier outbreaks might not have been detected. We recommend that states with available resources conduct emm typing to enhance surveillance and outbreak detection.
The incidence of iGAS in Idaho, 4.76 cases per 100,000 persons in 2019, is lower than the national incidence rate, 7.63 per 100,000 persons in 2019, possibly because Idaho iGAS estimates are based on passive data reporting, whereas national estimates are based on data from the ABCs active surveillance system. Other factors related to demographics or prevalence of risk factors might also contribute to lower Idaho compared with national iGAS incidence estimates. Increased iGAS rates across all age groups and in all geographic regions of Idaho during 2008–2019 present cause for concern. We identified no changes in surveillance procedures that might have led to increased case reporting. However, we did not assess potential changes in clinical practice (e.g., the number of blood cultures ordered by emergency departments), which might have affected case detection.
We identified a rise in STSS incidence: 25 cases occurred during 2014–2019, compared with none during 2008–2013, although these numbers do not account for the increase in overall iGAS cases. We found evidence of STSS underreporting, as has been reported in other studies[26]. Cases of STSS from the baseline period might have been missed because medical records were only available for 70% of iGAS patients. We observed 10 different emm types among STSS cases that had an isolate submitted for typing, indicating a lack of clonality. Of note, a study in the Netherlands identified a temporal association between STSS and influenza A virus[27]. However, STSS cases in Idaho occurred throughout the year, without seasonal patterns that might have been associated with influenza.
emm1 was the most common emm type identified in Idaho and also the most common cause of iGAS nationally during 2008–2019[1,12,23]. The diversity of emm types observed in Idaho was consistent with reports from high-income countries in North America and Europe[28–30]. Although no vaccines targeting GAS are available, the 30-valent M protein–based strep A vaccine, one of the few vaccines under development in phase 1 or 2 clinical trials, would potentially cover 167/194 (86.1%) emm types from Idaho iGAS cases, and possibly more through cross-protection within emm clusters based on M protein structure[31–33].
We identified no associations between risk factors and increased incidence during 2014–2019. In New Mexico, increases in iGAS incidence were linked to rises in cases among persons experiencing homelessness and persons injecting drugs[17]. Similarly, an analysis of ABCs national surveillance data concluded that injection drug use and homelessness likely contribute to increasing iGAS incidence in the United States, noting that particular emm types are increasing among this patient population[7]. Factors responsible for increased incidence of iGAS during 2003–2017 in Alberta, Canada, were not clear, and multiple risk factors likely contributed, particularly alcohol abuse and drug use[13]. In Idaho, only 8 patients reported injection drug use and 9 experiencing homelessness. Although these conditions might be underreported, homelessness and injection drug use do not appear to be driving the increase in iGAS in Idaho, although they might be contributing factors. We found no evidence that alcohol abuse was contributing to the increase in iGAS in Idaho.
Our results suggest that iGAS is increasing among the general population of Idaho and not limited to a particular age group or associated with an individual risk factor. The reasons for increases in reported incidence in Idaho might be multifactorial and involve factors not assessed in this study, such as expansion of ≥1 emm types and improvements in collection of diagnostic specimens by clinicians and passive reporting by laboratories. One limitation of our study is that we did not directly assess whether changes in the distribution of risk factors in the underlying population, such as the proportion of adults with skin injuries, could have led to increases in iGAS. For certain characteristics and risk factors, Idaho population data on estimated prevalence or proportion were unavailable (Appendix Table 2). For most factors, only minor changes over time were observed, and we did not identify any changes considered potentially responsible for the increase in iGAS incidence. Another limitation to the risk factor analysis was the small sample size during the baseline period—only 89 cases, some missing data. A third key limitation to our study was the lack of emm typing data from the 2008–2013 baseline period, because only 2% of cases had emm typing conducted, compared with 49% during 2014–2019. Therefore, we could not assess potential shifts in emm types, which might have contributed to increasing rates of iGAS. In Ireland, an increase in iGAS during 2012–2015 coincided with an upsurge in emm3[34]. In the United States, expansion over time of select emm types, including 11, 77, and 92, was linked to increasing prevalence of antimicrobial drug–resistant iGAS infections[35]. Factors that contribute to the emergence of emm types are not well understood but might include genetic changes in bacteria and acquisition of new virulence factors, as well as variations in population immunity[30]. emm59, which emerged initially in Canada and more recently has been found in the southwestern United States, was the most common emm type in Idaho in 2014; all 5 cases were associated with outbreaks, but emm59 declined during subsequent years[19,36].
In conclusion, in Idaho, iGAS is an urgent and consequential clinical and public health concern because of its severity, high case-fatality rate, and statewide increases. The absence of an identified risk factor contributing to increasing iGAS incidence in the general population suggests a potential role for vaccination as a preventive measure. Ongoing surveillance of state-level iGAS cases would help identify outbreaks, track regional trends in incidence, and monitor circulating emm types.