Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 2007;116:174-179
Published online before print June 18, 2007, doi: 10.1161/CIRCULATIONAHA.107.690875
CLINICAL PERSPECTIVE
Free Article
This Article
Free upon publication Free Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Data Supplement
Right arrow All Versions of this Article:
116/2/174    most recent
CIRCULATIONAHA.107.690875v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by McCrindle, B. W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by McCrindle, B. W.
Related Collections
Right arrow Pediatric and congenital heart disease, including cardiovascular surgery

(Circulation. 2007;116:174-179.)
© 2007 American Heart Association, Inc.


Pediatric Cardiology

Coronary Artery Involvement in Children With Kawasaki Disease

Risk Factors From Analysis of Serial Normalized Measurements

Brian W. McCrindle, MD, MPH; Jennifer S. Li, MD; L. LuAnn Minich, MD; Steven D. Colan, MD; Andrew M. Atz, MD; Masato Takahashi, MD; Victoria L. Vetter, MD; Welton M. Gersony, MD; Paul D. Mitchell, MSc; Jane W. Newburger, MD, MPH, for the Pediatric Heart Network Investigators

From the University of Toronto (B.W.M.), The Hospital for Sick Children, Toronto, Canada; Duke University Medical Center (J.S.L.), Durham, NC; University of Utah (L.L.M.), Salt Lake City, Utah; New England Research Institutes (S.D.C., P.D.M.), Watertown, Mass; Medical University of South Carolina (A.M.A.), Charleston, SC; Children’s Hospital of Los Angeles (M.T.), Los Angeles, Calif; Children’s Hospital of Philadelphia (V.L.V.), Philadelphia, Pa; Columbia University Medical Center (W.M.G.), New York, NY; and Children’s Hospital Boston (J.W.N.), Boston, Mass.

Correspondence to Dr Brian McCrindle, The Hospital for Sick Children, 555 University Ave, Toronto, Ontario, Canada M5G 1X8. E-mail brian.mccrindle{at}sickkids.ca

Received January 17, 2007; accepted April 17, 2007.


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background— Most studies of coronary artery involvement and associated risk factors in Kawasaki disease have used the Japanese Ministry of Health dichotomous criteria. Analysis of serial normalized artery measurements may reveal a broader continuous spectrum of involvement and different risk factors.

Methods and Results— Clinical, laboratory, and echocardiographic measurements obtained at baseline and 1 week and 5 weeks after presentation were examined in 190 Kawasaki disease patients as part of a clinical trial of primary therapy with pulse steroids in addition to standard intravenous immunoglobulin. Maximum coronary artery z score normalized to body surface area was significantly greater than normal at all time points, decreasing significantly over time from baseline. A maximal z score ≥2.5 at any time was noted in 26% of patients. Japanese Ministry of Health dimensional criteria were met by 23% of patients. Significant independent factors associated with greater z score at any time included younger patient age, longer interval from disease onset to treatment with intravenous immunoglobulin, lower serum IgM level at baseline, and lower minimum serum albumin level. z Scores of the proximal right coronary artery were higher than those in the left anterior descending branch.

Conclusions— Analyses of serial normalized coronary artery measurements in optimally treated Kawasaki disease patients demonstrated that for most patients, measurements are greatest at baseline and subsequently diminish; baseline measurements appear to be good predictors of involvement during early follow-up. When a more precise assessment is used, risk factors for coronary artery involvement are similar to those defined with arbitrary dichotomous criteria.


Key Words: Kawasaki disease • coronary disease • echocardiography • pediatrics • risk factors


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Coronary artery involvement remains the most important complication after Kawasaki disease (KD) and involves a continuous spectrum ranging from no apparent involvement in the majority of patients to the presence of multiple giant aneurysms.1 Involvement is assessed serially with echocardiography primarily by quantifying internal coronary artery diameters, although subtle qualitative features have been described.2,3 Commonly used definitions of coronary artery involvement have relied on the Japanese Ministry of Health criteria, which dichotomously define abnormalities as a maximum absolute internal diameter >3 mm in children <5 years of age or >4 mm in children 5 years and older, or a segment 1.5 times greater than an adjacent segment, or the presence of luminal irregularity.4 This definition contains subjective elements, incompletely accounts for patient size, and ignores any continuum or time course. More recently, regression equations based on measurements from nonfebrile normal children have been used to calculate z scores based on body surface area.5,6 These allow a continuous measurement and assessment of the time course of involvement.

Clinical Perspective p 179

Studies of risk factors associated with coronary artery involvement have also used a dichotomous definition usually consistent with the Japanese Ministry of Health criteria.7–19 No study has used serial measurements of z scores to study the spectrum of involvement, time course of change, and associated risk factors. In addition, identified risk factors, such as younger patient age and male gender, laboratory abnormalities (such as higher white cell or neutrophil count, lower platelet count, higher C-reactive protein, higher erythrocyte sedimentation rate, lower serum albumin, and lower hemoglobin or hematocrit), treatment delay, and persistent or prolonged fever, have been inconsistent in their association with coronary artery abnormalities. Therefore, we sought to use serial assessments of normalized coronary artery dimensions to determine the spectrum and early time course of coronary artery involvement and, using these data, to define associated clinical and laboratory factors. This work represents a secondary analysis of data from the Pediatric Heart Network’s Randomized Trial of Pulse Steroid Therapy in Kawasaki Disease.20


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
The study design consisted of a randomized, double-blind, placebo-controlled multicenter trial, with randomization stratified by young age (<1 or ≥1 year of age) and gender, balanced within center, with equal numbers assigned to each treatment arm.20 Inclusion criteria for enrollment in the trial included diagnosis of typical KD by meeting modified criteria from recent American Heart Association guidelines,1 presentation within 10 days of illness onset, and informed consent. Exclusion criteria for trial enrollment included prior treatment with intravenous immunoglobulin (IVIG) or systemic steroids, presence of another disease known to mimic KD, previous diagnosis of KD, and the presence of contraindications to steroid and aspirin use. Trial patients were randomized to receive either a single dose of intravenous methylprednisolone or an identical placebo before receiving conventional-dose IVIG and aspirin. For patients with persistent or recurrent fever, an additional dose of IVIG was given. Patients had standardized echocardiograms performed within 48 hours of enrollment (initial) and at 1 and 5 weeks after randomization. Echocardiograms were adjudicated in a core laboratory. To ensure a homogeneous study population, we excluded 9 of the 199 patients enrolled in the trial from the present analysis because they did not receive the assigned study drug (n=2), were subsequently noted not to meet entry criteria (n=6), or did not have any study echocardiograms (n=1). Some patients were included in the analysis with initial echocardiograms performed after having received IVIG (34 at 1 day, 3 at 2 days, and 1 patient at 8 days after IVIG).

Statistical Analysis
Coronary artery dimensions were normalized for body surface area as z scores (SDs from a predicted normal mean) based on nonlinear regression equations derived from a normal nonfebrile population.1 The normal group comprised 221 healthy children aged 0 to 18 years seen in the noninvasive laboratory at Boston Children’s Hospital for echocardiographic evaluation during the years 1987 to 2000 who had no evidence of structural or functional heart disease.21 Acquired or congenital heart disease and other systemic disorders were excluded by review of the medical history, ECG, chest radiograph, and echocardiogram. Specific exclusion criteria included acute or chronic systemic disorder, hypertension, a family history of hypertrophic or dilated cardiomyopathy, and height, weight, or height for weight percentile outside the range of normal. The age distribution was 37% aged 0 to 1 year, 17% aged 1 to 5 years, 17% aged 5 to 10 years, 14% aged 10 to 15 years, and 6% aged 15 to 18 years. Nonlinear regression equations based on body surface area22 were derived. The predicted value for a patient of a given body surface area can be obtained by solving the first exponential regression equation, and the associated SD of that predicted value can be obtained by solving the second linear regression equation. The z score is obtained by dividing the difference between the actual measurement and the predicted measurement by the SD:

LMCA=0.31747 · (BSA0.36008)–0.02887, SD=0.03040+(0.01514 · BSA)

pLAD=0.26108 · (BSA0.37893)–0.02852, SD=0.01465+(0.01996 · BSA)

pRCA=0.26117 · (BSA0.39992)–0.02756, SD=0.02407+(0.01597 · BSA)

where LMCA indicates left main coronary artery, in centimeters; pLAD, proximal anterior descending coronary artery, in centimeters; pRCA, proximal right coronary artery, in centimeters; and BSA, body surface area, in meters squared.

For the purposes of analysis, only serial measures of the z scores of the pLAD and pRCA branches were used. Normal values do not currently exist for distal segments or the circumflex branch. Although normal values exist for the left main coronary artery, we chose to exclude this measurement from analysis because normal anatomic variations make its interpretation less reliable, and it is exceedingly rare to have enlargement of the left main coronary artery in KD without accompanying dilation of the pLAD. The same limitation relative to reliability applies to assessment of the circumflex branch and more distal segments, with regard to standardization of location of assessment and consistency of adequate visualization. Mixed linear regression analysis for repeated measures was used for the analysis. This technique is robust in that it makes use of both arterial branch measurements at all time points (rather than a maximal measurement from a single time point), uses the z score as a continuous rather than a dichotomous outcome measure, allows determination of trends over time from fever onset, and allows the identification of independent factors that are associated with higher z scores at any time or that may influence the time course of change. Variables that were tested are shown in the table in the online-only Data Supplement. Mean imputation was used to replace missing values for independent variables only. Of note, models created without imputation of missing values were very similar to those with imputation. Statistical analyses were performed with SAS statistical software version 9 (SAS Institute, Inc, Cary, NC).

The authors had full access to and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowReferences
 
Patient Characteristics
Of the 190 patients included in this analysis, 62% were males, with a mean age of 3.3 years (range 2 months to 12.3 years) and a mean duration of illness of 6.6±1.4 days at the time of enrollment. Race or ethnic group was white for 58%, black for 18%, Asian for 14%, American Indian or Alaskan Native for 2%, Native Hawaiian or other Pacific islander for <1%, more than 1 race or ethnic group for 7%, unknown for <1%, and Hispanic for 17% of subjects. Half (51%) were randomized to and received intravenous methylprednisolone.

Figure 1 shows the distributions of the maximum z score of the greater of the pRCA and pLAD over time. At initial assessment, the majority of patients had z scores well above a normal population predicted value of zero, with a median of 1.43 for the patients. Some decrease was noted at 1 and 5 weeks, although z scores remained elevated. At least 1 pRCA or pLAD z score ≥2.5 noted on at least 1 echocardiogram over the 5-week period was found for 26% of patients included in the analysis, and 5% had at least 1 z score ≥5.


Figure 1184593
View larger version (14K):
[in this window]
[in a new window]

 
Figure 1. Maximum z score of either the pLAD or pRCA branch diameters according to time from randomization. Box encloses the 25th to 75th percentile, line represents the median, and tails represent the 5th and 95th percentiles. Cross represents the mean value. Outliers are not depicted, with minimum and maximum values as follows: initial assessment, –1.76, 9.73; 1 week, –1.07, 15.3; 5 weeks, –1.33, 15.3.

By Japanese Ministry of Health criteria, 44 patients (23%) met dimensional criteria for involvement. This included 41 patients <5 years of age who had at least 1 dimension of a coronary artery segment >3 mm over the 5-week period (including 3 patients with dimensions >4 mm), and 3 patients ≥5 years of age who had at least 1 dimension of a coronary artery segment >4 mm.

Of the 6 patients with any dimension >4 mm, 2 had dimensions >4 mm in either the pRCA or pLAD, 2 in the left main coronary artery only, and 1 in the distal left anterior descending coronary artery only. The remaining patient had dimensions >4 mm in nearly all branches, with increases in size noted from the initial to the 5-week assessment. One additional patient had an isolated aneurysm that measured 4 mm noted in the mid right coronary artery with no proximal aneurysm. No patient had a giant aneurysm, ie, with maximal internal lumen diameter ≥8 mm. Abnormal vessel tapering or luminal irregularities were not assessed.

Time Trends From Initial Assessment
Trends over time were explored. If the maximum z scores of the pRCA and pLAD were <2.5 at the initial echocardiogram, they did not increase above 2.5 for 94% of such patients at subsequent echocardiograms. If the maximum z score was ≥2.5 at the initial echocardiogram, the z score remained increased ≥2.5 over the 5 weeks of follow-up for 78% of subjects.

Independent Factors
Mixed linear regression analysis of repeated measures of z scores of the pRCA and pLAD demonstrated 6 independent risk factors associated with a greater magnitude of z score. A linear decrease in z score occurred from initial assessment over the 5 weeks of follow-up (Table). z Scores of the pRCA were significantly greater than those of the pLAD at all time points. Younger patient age at enrollment was independently associated with a greater z score at all time points. Figure 2A shows the independent relationship of age at enrollment with z scores. Least squares mean z scores decreased in a linear manner with increasing age category at enrollment. Additional factors independently associated with a greater z score at any time included greater number of days from disease onset to treatment with IVIG, a lower IgM level measured at initial assessment, and a lower minimum albumin level noted over the 5-week period. A similar analysis to that of age was performed with categories and quintiles and showed a linear relationship with no clear cut point that indicated increased risk for these variables (Figure 2B, 2C, and 2D). Likewise, various transformations of independent variables did not improve the fit of the model. No factor significantly influenced the noted time trend toward reduction in z score. Of note, the main clinical trial did not show a significant impact of the addition of pulse steroid therapy to IVIG on coronary artery outcomes, although a trend in favor of benefit was noted for those patients resistant to IVIG.20


View this table:
[in this window]
[in a new window]

 
Independent Factors Associated With Higher z Score of the Diameter of the pLAD and pRCA Branches (n=190 Patients)


Figure 2184593
View larger version (24K):
[in this window]
[in a new window]

 
Figure 2. Independent influence of variables on serial measurements of z scores of the pLAD or pRCA branch diameters from any time after randomization early after acute KD. Values are least square means from mixed linear regression analysis adjusted for the factors shown in the Table. Error bars represent SE of the least squares mean from the regression models. A, Age at enrollment. B, Days from fever onset to IVIG treatment. C, Quintile of minimum albumin level. D, Quintile of initial IgM level.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
Definitions of Coronary Artery Involvement
We have defined a more precise spectrum of coronary artery involvement using serial normalized coronary artery dimensions and determined associated risk factors. In 1984, the Japanese Ministry of Health established the first definitions of coronary artery involvement in KD patients.4 These criteria have been widely adopted in reporting the prevalence of coronary artery abnormalities, associated factors, and the effects of interventions. However, it is recognized that these definitions are arbitrary, fail to account for patient size, and reflect only the time point of maximal dimension. De Zorzi et al5 explored the distribution of coronary artery dimensions, adjusted for body surface area as z scores using linear regression equations derived from a normal afebrile control population, in patients with KD whose arteries were classified as "normal" by Japanese Ministry of Health criteria. They noted that 27% of patients having no coronary artery involvement by Japanese Ministry of Health criteria had a least 1 coronary artery z score >2, or 2 SDs from normal based on body surface area. Involvement was maximal in the first 10 days of illness, similar to the present findings and other reports.6,23

As reported in the present study, attention to the continuous and varying nature of coronary artery dimensions may reveal a broader spectrum of involvement. Furthermore, long-term studies have suggested that coronary arteries that would be defined as having had no involvement based on Japanese Ministry of Health criteria may demonstrate functional abnormalities.24–26 Thus, it is possible that these criteria are insensitive for identifying patients with more subtle involvement who may still be at increased risk for accelerated atherosclerosis and thus warrant ongoing assessment and counseling. In the future, more precise methods to detect mild degrees of coronary artery involvement may better define KD patients who should be monitored more closely for premature atherosclerotic cardiovascular disease.

Risk Factors for Coronary Artery Involvement
Using serial assessments of dimensions, we defined 6 risk factors independently associated with a continuous normalized measure of coronary artery involvement. Although our assessment is more precise, the risk factors determined are similar to those previously reported with dichotomous definitions, particularly the Japanese Ministry of Health criteria applied at the time of maximal luminal dimension. Several studies have further focused on risk factors for aneurysms, particularly giant coronary artery aneurysms (≥8 mm in diameter).11–13,15–18,27–29 In examining serial z scores of coronary artery dimensions measured over the first 5 weeks after presentation, we defined the early time course of change and identified younger patient age, longer time to treatment, lower initial IgM level, and lower minimum albumin level to be significantly and independently associated with a higher z score at any time. These risk factors confirm the findings of previous studies that used Japanese Ministry of Health criteria.

Demographic, clinical, and management factors have been previously noted to be associated with coronary artery involvement. Demographic risk factors reported have included male gender,8,19,28,30 race,8 and younger patient age, particularly less than 1 year of age.8–10,15,16,19,30,31 Older patient age has been less consistently reported8,19,32 and may be more related to delays in diagnosis and treatment. The absence or presence of particular clinical criteria has not been reported to be a risk factor, nor has the presence of concomitant infections33 or arthritis.34 Prolonged or persistent fever has been consistently reported as a risk factor,7,9–11,14,27 as has recurrence of KD.19,35,36 Management factors have been prominent, particularly delays in diagnosis and treatment.8,12,15,37,38 Anderson et al37 noted that delayed diagnosis was not significantly related to healthcare system factors but was related to dispersion over time in the development of clinical features. Early treatment has been debated as a risk factor,39,40 although it may be a risk factor for unresponsiveness to IVIG.39 Egami et al41 studied risk factors for unresponsiveness to IVIG and noted many of the same risk factors as for coronary artery involvement.

There has been a great deal of focus on laboratory factors, and threshold values are suggested for clinical decision making in algorithms with regard to diagnosis and treatment.1 Hematologic factors have included lower hemoglobin or hematocrit,7,10,14,16,27,30 lower platelet count,7,30,42 and higher white cell count, often with higher neutrophil or band components.7,10,13,15,16,30 Burns et al43 reported that higher β-thromboglobulin was significantly associated with aneurysm formation. Lower serum albumin has been a prominent risk factor,9,10,29,30 and lower serum sodium and potassium12,16 and higher alanine aminotransferase have been reported.12,16,17,39 Inflammatory markers have been interesting, with higher C-reactive protein being an inconsistent risk factor.12,13,44 There has been some interest in serum cytokines, with elevations in interlukin-6 and interlukin-8 reported as risk factors.45–47 We noted that a lower IgM level at initial assessment was significantly associated with higher coronary artery z scores. Previous studies have reported that lower initial IgG level, adjusted for age, was a risk factor.48,49 Later in the course of KD, higher IgG and lower IgA have been reported to be significantly associated with coronary artery involvement.14,48

Study Limitations
The findings of the present study must be viewed in light of some potential limitations. The present study population did not include patients with incomplete presentations, those presenting beyond 10 days from fever onset, and those not treated with IVIG or other dosing regimens of IVIG. Thus, our study findings may not be completely generalizable to the total population of patients being identified with potential KD in clinical practice. Normalization as z scores was based on regression equations derived from observations in nonfebrile normal children. Normative data are not available for distal coronary artery segments. Thus, our analyses focused on normalized measurements of the pLAD and pRCA rather that the entire coronary artery tree. However, outliers were few and are reported from semiquantitative assessment, and distal arterial segments are rarely aneurysmal without at least some proximal dilation. Patients were not followed up beyond 5 weeks after presentation, and therefore, longer-term changes were not studied. The prevalence of severe coronary artery involvement was lower compared with other studies addressing associated factors, which either included more patients with aneurysms or focused on them specifically.

Summary
On the basis of the present results, we noted that for patients with typical KD treated in accordance with current guidelines within the first 10 days of illness, coronary artery dimensions are significantly increased in the first 5 weeks after presentation, although the prevalence of aneurysms is low. With serial normalized measurements, initial measurements appear to be good predictors of involvement during early follow-up, with patients whose initial z score is <2.5 maintaining that score during early follow-up. We defined 6 independent risk factors associated with our more precise analysis of a continuous spectrum of coronary artery involvement. The risk factors we noted are similar to those reported from studies using arbitrary dichotomous definitions of coronary artery involvement. Understanding the risk factors for coronary artery involvement in KD patients may facilitate the identification of low-risk children in whom extensive and frequent testing may be unnecessary, as well as high-risk children who may require closer monitoring and may be candidates for additional therapies.


*    Acknowledgments
 
Sources of Funding

This work was supported by U01 HL068270 (Dr Colan, P.D. Mitchell), U01 HL068269 (Dr Li), U01 HL068292 (Dr Minich), U01 HL068290 (Dr Gersony), U01 HL068288 (Dr McCrindle), U01 HL068285 (Dr Newburger), U01 HL068281 (Dr Atz), and U01 HL068279 (Dr Vetter) from the National Heart, Lung, and Blood Institute, National Institutes of Health/Department of Health and Human Services. Dr McCrindle is also supported by the Canadian Imperial Bank of Canada World Markets Children’s Miracle Foundation.

Disclosures

None.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 

  1. Newburger JW, Takahashi M, Gerber MA, Gewitz MH, Tani LY, Burns JC, Shulman ST, Bolger AF, Ferrieri P, Baltimore RS, Wilson WR, Baddour LM, Levison ME, Pallasch TJ, Falace DA, Taubert KA. Diagnosis, treatment, and long-term management of Kawasaki disease: a statement for health professionals from the Committee on Rheumatic Fever, Endocarditis and Kawasaki Disease, Council on Cardiovascular Disease in the Young, American Heart Association. Circulation. 2004; 110: 2747–2771.[Abstract/Free Full Text]
  2. Capannari TE, Daniels SR, Meyer RA, Schwartz DC, Kaplan S. Sensitivity, specificity and predictive value of two-dimensional echocardiography in detecting coronary artery aneurysms in patients with Kawasaki disease. J Am Coll Cardiol. 1986; 7: 355–360.[Abstract]
  3. Chang JS, Tsai CH, Wu MH, Wang JK. The significance of early subtle coronary arterial lesions on echocardiogram in Kawasaki disease. Acta Paediatr Taiwan. 1999; 40: 101–106.[Medline] [Order article via Infotrieve]
  4. Research Committee on Kawasaki Disease. Report of Subcommittee on Standardization of Diagnostic Criteria and Reporting of Coronary Artery Lesions in Kawasaki Disease. Tokyo, Japan: Japanese Ministry of Health and Welfare; 1984.
  5. de Zorzi A, Colan SD, Gauvreau K, Baker AL, Sundel RP, Newburger JW. Coronary artery dimensions may be misclassified as normal in Kawasaki disease. J Pediatr. 1998; 133: 254–258.[CrossRef][Medline] [Order article via Infotrieve]
  6. Kurotobi S, Nagai T, Kawakami N, Sano T. Coronary diameter in normal infants, children and patients with Kawasaki disease. Pediatr Int. 2002; 44: 1–4.[CrossRef][Medline] [Order article via Infotrieve]
  7. Beiser AS, Takahashi M, Baker AL, Sundel RP, Newburger JW; US Multicenter Kawasaki Disease Study Group. A predictive instrument for coronary artery aneurysms in Kawasaki disease. Am J Cardiol. 1998; 81: 1116–1120.[CrossRef][Medline] [Order article via Infotrieve]
  8. Belay ED, Maddox RA, Holman RC, Curns AT, Ballah K, Schonberger LB. Kawasaki syndrome and risk factors for coronary artery abnormalities: United States, 1994–2003. Pediatr Infect Dis J. 2006; 25: 245–249.[CrossRef][Medline] [Order article via Infotrieve]
  9. Honkanen VE, McCrindle BW, Laxer RM, Feldman BM, Schneider R, Silverman ED. Clinical relevance of the risk factors for coronary artery inflammation in Kawasaki disease. Pediatr Cardiol. 2003; 24: 122–126.[CrossRef][Medline] [Order article via Infotrieve]
  10. Ishihara H, Izumida N, Hosaki J. Criterion for early prediction of coronary artery involvement by clinical manifestations in patients with Kawasaki disease. Bull Tokyo Med Dent Univ. 1985; 32: 77–89.[Medline] [Order article via Infotrieve]
  11. Koren G, Lavi S, Rose V, Rowe R. Kawasaki disease: review of risk factors for coronary aneurysms. J Pediatr. 1986; 108: 388–392.[CrossRef][Medline] [Order article via Infotrieve]
  12. Koyanagi H, Nakamura Y, Yanagawa H. Lower level of serum potassium and higher level of C-reactive protein as an independent risk factor for giant aneurysms in Kawasaki disease. Acta Paediatr. 1998; 87: 32–36.[CrossRef][Medline] [Order article via Infotrieve]
  13. Lu CP, Lee WJ, Ho MM, Hwang KC. Risk factors of coronary arterial aneurysm in Kawasaki disease. Zhonghua Min Guo Xiao Er Ke Yi Xue Hui Za Zhi. 1993; 34: 173–180.[Medline] [Order article via Infotrieve]
  14. Morikawa Y, Ohashi Y, Harada K, Asai T, Okawa S, Nagashima M, Katoh T, Baba K, Furusho K, Okuni M, Osano M. Coronary risks after high-dose gamma-globulin in children with Kawasaki disease. Pediatr Int. 2000; 42: 464–469.[CrossRef][Medline] [Order article via Infotrieve]
  15. Nakamura Y, Yashiro M, Oki I, Tanihara S, Ojima T, Yanagawa H. Giant coronary aneurysms due to Kawasaki disease: a case-control study. Pediatr Int. 2002; 44: 254–258.[CrossRef][Medline] [Order article via Infotrieve]
  16. Nakamura Y, Yashiro M, Uehara R, Watanabe M, Tajimi M, Oki I, Ojima T, Yanagawa H. Case-control study of giant coronary aneurysms due to Kawasaki disease. Pediatr Int. 2003; 45: 410–413.[CrossRef][Medline] [Order article via Infotrieve]
  17. Nakamura Y, Yashiro M, Uehara R, Watanabe M, Tajimi M, Oki I, Ojima T, Sonobe T, Yanagawa H. Use of laboratory data to identify risk factors of giant coronary aneurysms due to Kawasaki disease. Pediatr Int. 2004; 46: 33–38.[CrossRef][Medline] [Order article via Infotrieve]
  18. Nakano H, Ueda K, Saito A, Tsuchitani Y, Kawamori J, Miyake T, Yoshida T. Scoring method for identifying patients with Kawasaki disease at high risk of coronary artery aneurysms. Am J Cardiol. 1986; 58: 739–742.[CrossRef][Medline] [Order article via Infotrieve]
  19. Zhang T, Yanagawa H, Oki I, Nakamura Y, Yashiro M, Ojima T, Tanihara S. Factors related to cardiac sequelae of Kawasaki disease. Eur J Pediatr. 1999; 158: 694–697.[CrossRef][Medline] [Order article via Infotrieve]
  20. Newburger JW, Sleeper LA, McCrindle BW, Minich LL, Gersony WM, Vetter VL, Atz AM, Li JS, Takahashi M, Baker AL, Colan SD, Mitchell PD, Klein GL, Sundel RP. Randomized trial of pulse steroid therapy for primary treatment of Kawasaki disease. N Engl J Med. 2007; 356: 663–675.[Abstract/Free Full Text]
  21. Sluysmans T, Colan SD. Theoretical and empirical derivation of cardiovascular allometric relationships in children. J Appl Physiol. 2005; 99: 445–457.[Abstract/Free Full Text]
  22. Haycock GB, Schwartz GJ, Wisotsky DH. Geometric method for measuring body surface area: a height-weight formula validated in infants, children, and adults. J Pediatr. 1978; 93: 62–66.[Medline] [Order article via Infotrieve]
  23. Baer AZ, Rubin LG, Shapiro CA, Sood SK, Rajan S, Shapir Y, Romano A, Bierman FZ. Prevalence of coronary artery lesions on the initial echocardiogram in Kawasaki syndrome. Arch Pediatr Adolesc Med. 2006; 160: 686–690.[Abstract/Free Full Text]
  24. Iemura M, Ishii M, Sugimura T, Akagi T, Kato H. Long term consequences of regressed coronary aneurysms after Kawasaki disease: vascular wall morphology and function. Heart. 2000; 83: 307–311.[Abstract/Free Full Text]
  25. Muzik O, Paridon SM, Singh TP, Morrow WR, Dayanikli F, Di Carli MF. Quantification of myocardial blood flow and flow reserve in children with a history of Kawasaki disease and normal coronary arteries using positron emission tomography. J Am Coll Cardiol. 1996; 28: 757–762.[Abstract]
  26. Furuyama H, Odagawa Y, Katoh C, Iwado Y, Ito Y, Noriyasu K, Mabuchi M, Yoshinaga K, Kuge Y, Kobayashi K, Tamaki N. Altered myocardial flow reserve and endothelial function late after Kawasaki disease. J Pediatr. 2003; 142: 149–154.[CrossRef][Medline] [Order article via Infotrieve]
  27. Daniels SR, Specker B, Capannari TE, Schwartz DC, Burke MJ, Kaplan S. Correlates of coronary artery aneurysm formation in patients with Kawasaki disease. Am J Dis Child. 1987; 141: 205–207.[Abstract]
  28. Nakano H. Prediction of patients with a high risk of coronary artery aneurysm in Kawasaki disease: indication for immunoglobulin therapy. Prog Clin Biol Res. 1987; 250: 287–297.[Medline] [Order article via Infotrieve]
  29. Nakano M. Predictive factors of coronary aneurysm in Kawasaki disease: correlation between coronary arterial lesions and serum albumin, cholinesterase activity, prealbumin, retinol-binding protein and immature neutrophils. Prog Clin Biol Res. 1987; 250: 535–537.[Medline] [Order article via Infotrieve]
  30. Harada K. Intravenous gamma-globulin treatment in Kawasaki disease. Acta Paediatr Jpn. 1991; 33: 805–810.[Medline] [Order article via Infotrieve]
  31. Rosenfeld EA, Corydon KE, Shulman ST. Kawasaki disease in infants less than one year of age. J Pediatr. 1995; 126: 524–529.[CrossRef][Medline] [Order article via Infotrieve]
  32. Stockheim JA, Innocentini N, Shulman ST. Kawasaki disease in older children and adolescents. J Pediatr. 2000; 137: 250–252.[CrossRef][Medline] [Order article via Infotrieve]
  33. Benseler SM, McCrindle BW, Silverman ED, Tyrrell PN, Wong J, Yeung RS. Infections and Kawasaki disease: implications for coronary artery outcome. Pediatrics. 2005; 116: e760–e766.[Abstract/Free Full Text]
  34. Gong GW, McCrindle BW, Ching JC, Yeung RS. Arthritis presenting during the acute phase of Kawasaki disease. J Pediatr. 2006; 148: 800–805.[CrossRef][Medline] [Order article via Infotrieve]
  35. Nakamura Y, Oki I, Tanihara S, Ojima T, Yanagawa H. Cardiac sequelae in recurrent cases of Kawasaki disease: a comparison between the initial episode of the disease and a recurrence in the same patients. Pediatrics. 1998; 102: E66.[CrossRef][Medline] [Order article via Infotrieve]
  36. Nakamura Y, Yanagawa H, Ojima T, Kawasaki T, Kato H. Cardiac sequelae of Kawasaki disease among recurrent cases. Arch Dis Child. 1998; 78: 163–165.[Abstract/Free Full Text]
  37. Anderson MS, Todd JK, Glode MP. Delayed diagnosis of Kawasaki syndrome: an analysis of the problem. Pediatrics. 2005; 115: e428–e433.[Abstract/Free Full Text]
  38. Han RK, Sinclair B, Newman A, Silverman ED, Taylor GW, Walsh P, McCrindle BW. Recognition and management of Kawasaki disease. CMAJ. 2000; 162: 807–812.[Abstract/Free Full Text]
  39. Nomura Y, Masuda K, Yoshinaga M, Sameshima K, Miyata K. Patients diagnosed with Kawasaki disease before the fifth day of illness have a higher risk of coronary artery aneurysm. Pediatr Int. 2002; 44: 353–357.[CrossRef][Medline] [Order article via Infotrieve]
  40. Tse SM, Silverman ED, McCrindle BW, Yeung RS. Early treatment with intravenous immunoglobulin in patients with Kawasaki disease. J Pediatr. 2002; 140: 450–455.[CrossRef][Medline] [Order article via Infotrieve]
  41. Egami K, Muta H, Ishii M, Suda K, Sugahara Y, Iemura M, Matsuishi T. Prediction of resistance to intravenous immunoglobulin treatment in patients with Kawasaki disease. J Pediatr. 2006; 149: 237–240.[CrossRef][Medline] [Order article via Infotrieve]
  42. Nofech-Mozes Y, Garty BZ. Thrombocytopenia in Kawasaki disease: a risk factor for the development of coronary artery aneurysms. Pediatr Hematol Oncol. 2003; 20: 597–601.[Medline] [Order article via Infotrieve]
  43. Burns JC, Glode MP, Clarke SH, Wiggins J Jr, Hathaway WE. Coagulopathy and platelet activation in Kawasaki syndrome: identification of patients at high risk for development of coronary artery aneurysms. J Pediatr. 1984; 105: 206–211.[CrossRef][Medline] [Order article via Infotrieve]
  44. Anderson MS, Burns J, Treadwell TA, Pietra BA, Glode MP. Erythrocyte sedimentation rate and C-reactive protein discrepancy and high prevalence of coronary artery abnormalities in Kawasaki disease. Pediatr Infect Dis J. 2001; 20: 698–702.[CrossRef][Medline] [Order article via Infotrieve]
  45. Chow YM, Lin CY, Hwang B. Serum and urinary interleukin-6 (IL-6) levels as predicting factors of Kawasaki disease activity. Zhonghua Min Guo Xiao Er Ke Yi Xue Hui Za Zhi. 1993; 34: 77–83.[Medline] [Order article via Infotrieve]
  46. Lin CY, Lin CC, Hwang B, Chiang B. Serial changes of serum interleukin-6, interleukin-8, and tumor necrosis factor alpha among patients with Kawasaki disease. J Pediatr. 1992; 121: 924–926.[CrossRef][Medline] [Order article via Infotrieve]
  47. Lin CY, Lin CC, Hwang B, Chiang BN. Cytokines predict coronary aneurysm formation in Kawasaki disease patients. Eur J Pediatr. 1993; 152: 309–312.[CrossRef][Medline] [Order article via Infotrieve]
  48. Newburger JW, Takahashi M, Beiser AS, Burns JC, Bastian J, Chung KJ, Colan SD, Duffy CE, Fulton DR, Glode MP, Mason WH, Meissner C, Rowley AH, Shulman ST, Reddy V, Sundel RP, Wiggins JW, Colton T, Melish ME, Rosen FS. A single intravenous infusion of gamma globulin as compared with four infusions in the treatment of acute Kawasaki syndrome. N Engl J Med. 1991; 324: 1633–1639.[Abstract]
  49. Sawaji Y, Haneda N, Yamaguchi S, Kajino Y, Kishida K, Seto S, Konishi N, Waki K, Baba K, Arisawa K, Kamiya T, Mori C. Coronary risk factors in acute Kawasaki disease: correlation of serum immunoglobulin levels with coronary complications. Acta Paediatr Jpn. 1998; 40: 218–225.[Medline] [Order article via Infotrieve]

 

CLINICAL PERSPECTIVE

Kawasaki disease is an acute, self-limited vasculitis of unknown cause associated with the development of coronary artery aneurysms in infants and children. Studies of risk factors for coronary artery involvement usually define involvement dichotomously as either present or absent based on measurement of maximal arterial diameters. The present study analyzed serial normalized measurements and noted that dimensions were maximal at baseline assessment at presentation and diminished thereafter but remained above normal in the majority over the 5-week period of observation. Associated risk factors were identified and were similar to those defined with arbitrary dichotomous criteria. The definition of coronary artery involvement has important implications for follow-up, and the identification of risk factors may distinguish those high-risk patients who might require increased surveillance or more aggressive treatment.


*    Footnotes
 
Clinical trial registration information—URL: http://www.clinicaltrials.gov. Unique identifier: NCT00132080.

Guest Editor for this article was Robyn J. Barst, MD.

The online-only Data Supplement, consisting of a table and an Appendix, is available with this article at http://circ.ahajournals.org/cgi/content/full/CIRCULATIONAHA.107.690875/DC1.





This Article
Free upon publication Free Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Data Supplement
Right arrow All Versions of this Article:
116/2/174    most recent
CIRCULATIONAHA.107.690875v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by McCrindle, B. W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by McCrindle, B. W.
Related Collections
Right arrow Pediatric and congenital heart disease, including cardiovascular surgery