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Category No. cases Crude rate of ARF at initial hospitalization/100,000 population aRR (95% CI) RR in 2010–2018 vs. 2000–2009 (95% CI)
Age†        
   <5 35 0.62 0.18 (0.13–0.25) 0.42 (0.20–0.88)
   5–9 768 13.45 4.10 (3.57–4.70) 1.01 (0.88–1.17)
   10–14 1,184 20.55 6.58 (5.77–7.51) 1.08 (0.96–1.21)
   15–19 308 5.27 1.81 (1.54–2.13) 1.29 (1.03–1.62)
   20–29 276 2.27 Referent 1.86 (1.45–2.38)
Sex‡        
   M 1,493 8.60 1.34 (1.24–1.45) 1.09 (0.99–1.21)
   F 1,078 6.42 Referent 1.18 (1.05–1.33)
Ethnicity (prioritized)§        
   Māori 1257 16.77 11.84 (10.02–13.98) 1.09 (0.98–1.22)
   Pacific Islander 1124 38.12 23.57 (19.88–27.94) 1.30 (1.16–1.47)
   Asian 23 0.55 0.64 (0.41–0.99) 0.41 (0.18–0.98)
   European and other 167 0.86 Referent 0.61 (0.44–0.84)
Socioeconomic deprivation level¶      
   1–2 61 1.06 Referent 0.63 (0.38–1.05)
   3–4 128 2.16 1.65 (1.21–2.23) 0.85 (0.60–1.20)
   5–6 160 2.51 1.60 (1.19–2.25) 0.91 (0.67–1.24)
   7–8 405 5.57 2.58 (1.96–3.38) 1.31 (1.08–1.59)
   9–10 1,817 20.58 5.21 (4.01–6.75) 1.16 (1.06–1.27)
District health board#      
   Northland 206 17.36 7.56 (4.39–13.02) 1.10 (0.84–1.45)
   Counties Manukau, South Auckland 909 21.67 7.37 (4.32–12.53) 1.23 (1.08–1.41)
   Tairawhiti, Gisborne 63 16.01 5.47(3.06–9.80) 1.45 (0.88–2.39)
   South Island, 5 DHBs 67 0.91 Referent 1.21 (0.71–1.88)
Total 2,571 7.53   1.13 (1.04–1.22)

Table 1. Acute rheumatic fever initial hospitalizations and adjusted rate ratios for patients <30 years of age, according to key sociodemographic characteristics, New Zealand, 2000–2018*

*An additional 181 (6.6% of total) cases occurred among persons ≥30 years of age during 2000–2018. aRR, adjusted rate ratio; DHB, district health board; RR, rate ratio.
†RR adjusted for sex, ethnicity, and socioeconomic deprivation.
‡RR adjusted for age, ethnicity, and socioeconomic deprivation.
§RR adjusted for age, sex, and socioeconomic deprivation.
¶RR adjusted for age, sex, and ethnicity.
#RR adjusted for age, sex, ethnicity, and socioeconomic deprivation; 3 DHBs highest incidence and 1 DHB with lowest incidence shown. A full list of DHBs is provided in Appendix Table 1).

 

Characteristics No. cases Crude rate of RHD at initial hospitalization/100,000 population aRR (95% CI) RR in 2010–2018 vs. 2000–2009 (95% CI)
Age, y†
   0–9 154 1.35 Referent 1.53 (1.11–2.11)
   10–19 322 2.77 2.21 (1.82–2.68) 1.51 (1.21–1.88)
   20–29 164 1.47 1.30 (1.04–1.62) 0.95 (0.69–1.29)
   30–39 208 1.87 1.83 (1.49–2.26) 0.81 (0.62–1.07)
   40–49 420 3.60 3.84 (3.19–4.62) 1.07 (0.88–1.30)
   50–59 678 6.69 7.66 (6.43–9.14) 0.93 (0.80–1.08)
   60–69 957 12.87 15.66 (13.18–18.61) 1.13 (1.00–1.29)
Sex‡
   M 1,405 3.74 1.12 (1.04–1.21) 1.14 (1.03–1.26)
   F 1,498 4.06 Referent 1.04 (0.93–1.15)
Ethnicity§
   Māori 892 7.30 3.21 (2.93–3.52) 1.24 (1.09–1.42)
   Pacific Islander 574 11.60 4.62 (4.16–5.15) 1.28 (1.08–1.51)
   Asian 123 1.47 0.71 (0.59–0.86) 0.80 (0.56–1.14)
   European and other 1,314 2.68 Referent 0.95 (0.86–1.10)
Socioeconomic deprivation level¶
   1–2 222 1.60 Referent 0.79 (0.60–1.02)
   3–4 324 2.34 1.42 (1.20–1.68) 0.85 (0.68–1.05)
   5–6 441 3.05 1.76 (1.49–2.06) 1.07 (0.89–1.29)
   7–8 642 4.15 2.19 (1.88–2.55) 1.12 (0.56–1.31)
   9–10 1,274 7.58 3.10 (2.67–3.60) 1.21 (1.09–1.36)
District health board#
   Northland 150 5.57 1.32 (1.03–1.69) 0.94 (0.68–1.29)
   Counties Manukau, South Auckland 478 5.70 1.44 (1.16–1.78) 1.05 (0.88–1.26)
   Tairawhiti, Gisborne 90 11.13 2.38 (1.79–3.16) 1.73 (1.12–2.66)
   Hutt Valley, Wellington 107 4.33 1.51 (1.15–1.97) 1.38 (0.94–2.03)
   Southern, South Island 110 2.14 Referent 1.11 (0.76–1.61)
Total 2,903 3.90   1.09 (1.01–1.17)

Table 2. Rheumatic heart disease initial hospitalization rates and adjusted rate ratios for patients <70 years of age according to key sociodemographic characteristics, New Zealand, 2000–2018*

*An additional 2,212 (43.2% of total) cases occurred among persons ≥70 years of age during 2000–2018. aRR, adjusted rate ratio; DHB, district health board; RHD, rheumatic heart disease; RR, rate ratio.
†RR adjusted for sex, ethnicity, and socioeconomic deprivation.
‡RR adjusted for age, ethnicity, and socioeconomic deprivation.
§RR adjusted for age, sex, and socioeconomic deprivation.
¶RR adjusted for age, sex, and ethnicity.
#RR adjusted for age, sex, ethnicity, and socioeconomic deprivation; 4 highest incidence DHBs, and the 1 lowest DHB shown. A full list of DHBs is provided in Appendix Table 1).

 

Category No. deaths Crude rate of RHD deaths/100,000 population aRR (95% CI) RR during 2010–2016 vs. 2000–2009 (95% CI)
Age, y†        
   <40 126 0.31 Referent 0.66 (0.45–0.96)
   40–49 163 1.56 7.27 (5.76–9.18) 0.68 (0.49–0.94)
   50–59 249 2.80 15.09 (12.17–18.72) 0.53 (0.41–0.70)
   60–69 352 5.48 34.15 (27.80–41.95) 0.56 (0.45–0.69)
Sex‡        
   M 394 1.21 0.88 (0.75–0.98) 0.56 (0.45–0.69)
   F 496 1.49 Referent 0.61 (0.51–0.73)
Ethnicity§        
   Māori 467 4.34 12.27 (10.32–14.58) 0.53 (0.44–0.65)
   Pacific Islander 190 4.37 11.16 (9.05–13.76) 0.77 (0.57–1.02)
   Asian 20 0.29 0.8 7(0.55–1.38) 0.09 (0.02–0.40)
   European and other 213 0.49 Referent 0.63 (0.47–0.84)
Socioeconomic deprivation level¶        
   1–2 48 0.39 Referent 0.23 (0.11–0.46)
   3–4 67 0.55 1.23 (0.85–1.78) 0.51 (0.30–0.84)
   5–6 113 0.88 1.72 (1.23–2.42) 1.01 (0.70–1.46)
   7–8 188 1.37 2.17 (1.57–2.99) 0.54 (0.40–0.73)
   9–10 474 3.18 3.18 (2.34–4.33) 0.58 (0.48–0.71)
District health board#        
   Northland 52 2.18 1.13 (0.76–1.69) 0.48 (0.24–0.94)
   Counties Manukau, South Auckland 168 2.28 1.65 (1.21–2.24) 0.75 (0.53–1.05)
   Tairawhiti, Gisborne 33 4.56 2.22 (1.42–3.48) 0.35 (0.15–0.83)
   South Island, 5 DHBs 81 0.53 Referent 0.50 (0.31–0.82)
Total 890 1.35   0.58 (0.51–0.67)

Table 3. Mortality rates of rheumatic heart disease and adjusted rate ratios for people <70 years of age, according to key sociodemographic characteristics, New Zealand, 2000–2016*

*An additional 1,545 (63.4% of total) deaths occurred among persons ≥70 years of age during 2000–2016. aRR, adjusted rate ratio; DHB, district health board; RHD, rheumatic heart disease; RR, rate ratio.
†RR adjusted for sex, ethnicity, and socioeconomic deprivation.
‡RR adjusted for age, ethnicity, and socioeconomic deprivation.
§RR adjusted for age, sex, and socioeconomic deprivation.
¶RR adjusted for age, sex, and ethnicity.
#RR adjusted for age, sex, ethnicity, and socioeconomic deprivation; 3 highest incidence DHBs and the DHB with lowest incidence shown. A full list of DHBs is provided in Appendix Table 1.

CME / ABIM MOC

Rising Ethnic Inequalities in Acute Rheumatic Fever and Rheumatic Heart Disease, New Zealand, 2000–2018

  • Authors: Julie Bennett, PhD; Jane Zhang, MSc; William Leung, MSc; Susan Jack, PhD; Jane Oliver, PhD; Rachel Webb, MBChB, FRACP; Nigel Wilson, MBChB; Dianne Sika-Paotonu, PhD; Matire Harwood, PhD; Michael G. Baker, MBChB
  • CME / ABIM MOC Released: 12/22/2020
  • THIS ACTIVITY HAS EXPIRED FOR CREDIT
  • Valid for credit through: 12/22/2021
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Target Audience and Goal Statement

This activity is intended for primary care physicians, infectious disease specialists, cardiologists, and other physicians who care for patients at risk for acute rheumatic fever (ARF).

The goal of this activity is to assess trends in the epidemiology of ARF and rheumatic heart disease (RHD) in a developed country.

Upon completion of this activity, participants will:

  • Analyze the global epidemiology of ARF and RHD
  • Distinguish risk factors for ARF in the current study
  • Evaluate trends in the epidemiology of ARF in the current study
  • Evaluate trends in the epidemiology of RHD in the current study


Disclosures

As an organization accredited by the ACCME, Medscape, LLC requires everyone who is in a position to control the content of an education activity to disclose all relevant financial relationships with any commercial interest. The ACCME defines "relevant financial relationships" as financial relationships in any amount, occurring within the past 12 months, including financial relationships of a spouse or life partner, that could create a conflict of interest.

Medscape, LLC encourages Authors to identify investigational products or off-label uses of products regulated by the US Food and Drug Administration, at first mention and where appropriate in the content.


Authors

  • Julie Bennett, PhD

    Department of Public Health
    University of Otago
    Wellington, New Zealand

    Disclosures

    Disclosure: Julie Bennett, PhD, has disclosed no relevant financial relationships. 

  • Jane Zhang, MSc

    Department of Public Health
    University of Otago
    Wellington, New Zealand

    Disclosures

    Disclosure: Jane Zhang, MSc, has disclosed no relevant financial relationships.

  • William Leung, MSc

    Department of Public Health
    University of Otago
    Wellington, New Zealand

    Disclosures

    Disclosure: William Leung, MSc, has disclosed no relevant financial relationships.

  • Susan Jack, PhD

    Public Health South
    Southern District Health Board
    Dunedin, New Zealand

    Disclosures

    Disclosure: Susan Jack, PhD, has disclosed no relevant financial relationships.

  • Jane Oliver, PhD

    Peter Doherty Institute for Infection and Immunity
    University of Melbourne
    Murdoch Children's Research Institute
    Melbourne, Victoria, Australia

    Disclosures

    Disclosure: Jane Oliver, PhD, has disclosed no relevant financial relationships.

  • Rachel Webb, MBChB, FRACP

    Faculty of Medical and Health Sciences
    University of Auckland
    Auckland, New Zealand

    Disclosures

    Disclosure: Rachel Webb, MBChB, FRACP, has disclosed no relevant financial relationships.

  • Nigel Wilson, MBChB

    Faculty of Medical and Health Sciences
    University of Auckland
    Auckland, New Zealand

    Disclosures

    Disclosure: Nigel Wilson, MBChB, has disclosed no relevant financial relationships.

  • Dianne Sika-Paotonu, PhD

    Deans Department of Pathology and Molecular Medicine
    University of Otago
    Wellington, New Zealand
    Wesfarmers Centre for Vaccines and Infectious Diseases
    Telethon Kids Institute
    Perth, Australia
    Faculty of Health
    Victoria University of Wellington
    Wellington, New Zealand
    Maurice Wilkins Centre for Molecular Biodiscovery
    University of Auckland
    Auckland, New Zealand

    Disclosures

    Disclosure: Dianne Sika-Paotonu, PhD, has disclosed no relevant financial relationships.

  • Matire Harwood, PhD

    General Practice and Primary Healthcare
    University of Auckland
    Auckland, New Zealand

    Disclosures

    Disclosure: Matire Harwood, PhD, has disclosed the following relevant financial relationships:
    Received grants for clinical research from: Health Research Council NZ, Heart Foundation NZ

  • Michael G. Baker, MBChB

    Department of Public Health
    University of Otago
    Wellington, New Zealand

    Disclosures

    Disclosure: Michael G. Baker, MBChB, has disclosed no relevant financial relationships.

Editor

  • Amy J. Guinn, MA

    Copyeditor
    Emerging Infectious Diseases

    Disclosures

    Disclosure: Amy J. Guinn, MA, has disclosed no relevant financial relationships.

CME Author

  • Charles P. Vega, MD

    Health Sciences Clinical Professor of Family Medicine
    University of California, Irvine School of Medicine

    Disclosures

    Disclosure: Charles P. Vega, MD, has disclosed the following relevant financial relationships:
    Served as an advisor or consultant for: GlaxoSmithKline

CME Reviewer

  • Stephanie Corder, ND, RN, CHCP

    Associate Director Accreditation and Compliance Medscape, LLC

    Disclosures

    Disclosure: Stephanie Corder, ND, RN, CHCP, has disclosed no relevant financial relationships.

CE Reviewer

  • Hazel Dennison, DNP, RN, FNP-BC, CHCP, CPHQ, CNE

    Associate Director Accreditation and Compliance Medscape, LLC

    Disclosures

    Disclosure: Hazel Dennison, DNP, RN, FNP-BC, CHCP, CPHQ, CNE, has disclosed no relevant financial relationships.

Medscape, LLC staff have disclosed that they have no relevant financial relationships.


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In support of improving patient care, this activity has been planned and implemented by Medscape, LLC and Emerging Infectious Diseases. Medscape, LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

    For Physicians

  • Medscape, LLC designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™ . Physicians should claim only the credit commensurate with the extent of their participation in the activity.

    Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.0 MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.

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*The credit that you receive is based on your user profile.

CME / ABIM MOC

Rising Ethnic Inequalities in Acute Rheumatic Fever and Rheumatic Heart Disease, New Zealand, 2000–2018

Authors: Julie Bennett, PhD; Jane Zhang, MSc; William Leung, MSc; Susan Jack, PhD; Jane Oliver, PhD; Rachel Webb, MBChB, FRACP; Nigel Wilson, MBChB; Dianne Sika-Paotonu, PhD; Matire Harwood, PhD; Michael G. Baker, MBChBFaculty and Disclosures
THIS ACTIVITY HAS EXPIRED FOR CREDIT

CME / ABIM MOC Released: 12/22/2020

Valid for credit through: 12/22/2021

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Abstract and Introduction

We describe trends in acute rheumatic fever (ARF), rheumatic heart disease (RHD), and RHD deaths among population groups in New Zealand. We analyzed initial primary ARF and RHD hospitalizations during 2000–2018 and RHD mortality rates during 2000–2016. We found elevated rates of initial ARF hospitalizations for persons of Māori (adjusted rate ratio [aRR] 11.8, 95% CI 10.0–14.0) and Pacific Islander (aRR 23.6, 95% CI 19.9–27.9) ethnicity compared with persons of European/other ethnicity. We also noted higher rates of initial RHD hospitalization for Māori (aRR 3.2, 95% CI 2.9–3.5) and Pacific Islander (aRR 4.6, 95% CI 4.2–5.1) groups and RHD deaths among these groups (Māori aRR 12.3, 95% CI 10.3–14.6, and Pacific Islanders aRR 11.2, 95% CI 9.1–13.8). Rates also were higher in socioeconomically disadvantaged neighborhoods. To curb high rates of ARF and RHD, New Zealand must address increasing social and ethnic inequalities.

Introduction

Acute rheumatic fever (ARF) is a preventable multisystem inflammatory disease that develops in <3% of persons with untreated group A Streptococcus (GAS) pharyngitis[1,2]. Recently, GAS skin infections have been proposed to cause ARF, either directly or in combination with GAS pharyngitis[3]. The severe sequela of ARF is rheumatic heart disease (RHD) with regurgitation from the mitral valve, aortic valve, or both. RHD is a serious condition that can lead to cardiac failure, stroke, and early death[4].

ARF and RHD remain major causes of illness and death[5]. In 2015, global prevalence of RHD was ≈34 million cases and ≈320,000 RHD-associated deaths occurred[6]. During the 20th century, improved living conditions resulted in dramatic declines in ARF[7]. The introduction of antimicrobial drugs in the 1950s and 1960s further reduced the burden of disease and ushered in an effective treatment for GAS pharyngitis[8,9]. Although now rare in high-income countries, ARF and RHD continue to affect populations in economically disadvantaged areas[10] and epidemic outbreaks occur in populations that are separated geographically[11,12].

The incidence of RHD is highest in Oceania, South Asia, and central sub-Saharan Africa[6]. However, some of the highest reported ARF rates are among indigenous and Pacific Islander populations in Australia and New Zealand[13]. The incidence rate among indigenous children in Australia in the peak age group, 5–14 years, is 245–351 cases/100,000 population[14], but in New Zealand, ARF almost exclusively affects indigenous Māori and Pacific Islander children living in socioeconomically deprived areas of the North Island[15,16]. During 2017–2018, the rate of initial ARF hospitalizations among Māori children 5–14 years of age was 25 cases/100,000 population; among Pacific Islander children, the rate was 81 cases/100,000 population[17].

Population-level burden estimates rarely are reported in international literature, partially because of challenges with diagnosing both ARF and RHD and a lack of high-quality surveillance systems for monitoring these conditions. ARF is notifiable to public health authorities in New Zealand, but RHD is not. In addition, historically there has been national undernotification of ARF cases[18]. Consequently, coded hospitalization data, which is based on the coding system of the International Classification of Diseases (ICD), 9th Revision (ICD-9) and 10th Revision (ICD-10), provides the most comprehensive base for describing ARF and RHD incidence and distribution.

We assessed trends in the incidence of ARF, the frequency of initial hospitalizations for RHD, and RHD mortality rates in New Zealand during 2000–2018. In addition, we assessed the extent to which these conditions are concentrated in specific population groups, based on age, ethnicity, sex, socioeconomic deprivation, and geographic location.