| Literature DB >> 35989997 |
Eun Jung Shin1, Jeong Jin Yu2, Hyewon Shin2, Hyuck Jin Kwon2, Jin Ho Kim2, Mi Jin Kim2, Seulgi Cha2, Jae Suk Baek2.
Abstract
Background: In Kawasaki disease (KD), fever occasionally resolves spontaneously before 10 days from the onset, right after diagnosing. However, there is not enough evidence of intravenous immunoglobulin (IVIG) treatment in this case. The aim of this study was to investigate the relationship between spontaneous defervescence and coronary artery aneurysm and to develop a scoring model for its prediction in acute KD.Entities:
Keywords: Kawasaki disease; aspirin; children; defervescence; fever
Year: 2022 PMID: 35989997 PMCID: PMC9386280 DOI: 10.3389/fped.2022.943203
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.569
Characteristics of the subjects.
| Characteristics | Defervesced KD ( | Treated KD ( | |
| Age, years | 2.48 ± 2.05 | 2.64 ± 2.0 | 0.477 |
| Male | 58 (61.1) | 746 (58.4) | 0.533 |
| Family history | 0 (0.0) | 10 (0.8) | 0.389 |
| Recurrence | 0 (0.0) | 53 (4.2) | 0.044 |
| Body weight, kg | 13.7 ± 9.8 | 13.6 ± 5.8 | 0.841 |
| Height, cm | 87.3 ± 18.8 | 90.5 ± 16.7 | 0.071 |
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| Conjunctivitis | 88 (92.6) | 1,222 (95.7) | 0.346 |
| Red lips/oral mucosa | 82 (86.3) | 1,170 (91.6) | 0.145 |
| Rash | 69 (72.6) | 1,106 (86.6) | <0.001 |
| Cervical lymphadenopathy | 54 (56.8) | 832 (65.2) | 0.132 |
| Changes in extremities | 76 (80.0) | 1,119 (87.6) | 0.058 |
| Complete presentation | 72 (75.8) | 1,116 (87.4) | 0.003 |
| BCG site reaction | 46 (51.7) | 569 (49.3) | 0.516 |
| Days of illness at diagnosis | 5.3 ± 1.7 | 5.5 ± 1.4 | 0.185 |
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| WBC, × 103/μL | 11.6 ± 4.3 | 13.6 ± 4.8 | <0.001 |
| Neutrophil,% | 46.8 ± 15.8 | 62.7 ± 16.0 | <0.001 |
| Hemoglobin, g/dL | 11.7 ± 1.1 | 11.3 ± 1.1 | 0.003 |
| Hematocrit | 34.6 ± 3.2 | 34.2 ± 3.1 | 0.217 |
| Platelet, × 103/μL | 337.5 ± 122.1 | 347.2 ± 107.6 | 0.411 |
| Protein, g/dL | 6.7 ± 0.6 | 6.7 ± 0.7 | 0.865 |
| Albumin, g/dL | 3.6 ± 0.4 | 3.4 ± 0.5 | <0.001 |
| AST, IU/L | 38.7 ± 28.9 | 77.5 ± 131.2 | 0.004 |
| ALT, IU/L | 33.8 ± 60.8 | 94.1 ± 137.6 | <0.001 |
| Total bilirubin, mg/dL | 0.41 ± 0.41 | 0.68 ± 0.81 | 0.001 |
| Na+, mmol/L | 137.7 ± 2.4 | 136.3 ± 2.8 | <0.001 |
| C-reactive protein, mg/dL | 3.30 ± 3.06 | 8.47 ± 6.32 | <0.001 |
| Pyuria | 11 (12.6) | 329 (31.0) | <0.001 |
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| LMCA, mm | 2.39 ± 0.58 | 2.34 ± 0.48 | 0.375 |
| Z score | 0.50 ± 1.15 | 0.40 ± 1.01 | 0.388 |
| LAD, mm | 1.82 ± 0.41 | 1.91 ± 0.46 | 0.075 |
| Z score | 0.15 ± 1.05 | 0.40 ± 1.16 | 0.062 |
| RCA, mm | 1.83 ± 0.41 | 1.99 ± 0.49 | 0.004 |
| Z score | –0.18 ± 1.0 | 0.22 ± 1.05 | 0.001 |
| CAA | 7 (8.0) | 32 (4.3) | 0.124 |
Data are presented as mean ± standard deviation, or number (%).
KD, Kawasaki disease; BCG, Bacillus Calmette–Guérin vaccine; WBC, white blood cell; AST, aspartate aminotransferase; ALT, alanine aminotransferase; LMCA, left main coronary artery; LAD, left anterior descending; RCA, right coronary artery; CAA, coronary artery aneurysm.
FIGURE 1Occurrence of coronary artery aneurysm in each phase of Kawasaki disease. The echocardiography was done at diagnosis and before intravenous immunoglobulin administration, at subacute phase, and at convalescent phase. KD, Kawasaki disease; IVIG, intravenous immunoglobulin; CAA, coronary artery aneurysm.
Coronary artery status during subacute phase and convalescent phase.
| Defervesced KD ( | Treated KD ( | ||
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| |||
| LMCA, mm | 2.29 ± 0.42 | 2.38 ± 0.47 | 0.089 |
| Z score | 0.35 ± 0.90 | 0.45 ± 0.98 | 0.357 |
| LAD, mm | 1.84 ± 0.44 | 1.91 ± 0.50 | 0.252 |
| Z score | 0.25 ± 1.11 | 0.33 ± 1.09 | 0.495 |
| RCA, mm | 1.79 ± 0.45 | 1.89 ± 0.58 | 0.107 |
| Z score | –0.27 ± 1.10 | –0.10 ± 1.10 | 0.151 |
| CAA | 5 (5.7) | 57 (4.6) | 0.593 |
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| LMCA, mm | 2.32 ± 0.42 | 2.31 ± 0.41 | 0.832 |
| Z score | 0.34 ± 0.89 | 0.23 ± 0.92 | 0.260 |
| LAD, mm | 1.86 ± 0.35 | 1.85 ± 0.42 | 0.866 |
| Z score | 0.23 ± 0.91 | 0.12 ± 0.97 | 0.311 |
| RCA, mm | 1.73 ± 0.37 | 1.84 ± 0.50 | 0.047 |
| Z score | –0.50 ± 0.96 | –0.28 ± 0.99 | 0.055 |
| CAA | 2 (2.4) | 27 (2.2) | 0.924 |
Data are reported as mean ± standard deviation, or number (%).
LMCA, left main coronary artery; LAD, left anterior descending; RCA, right coronary artery; CAA, coronary artery aneurysm.
Predictors of spontaneous defervescence on logistic regression analyses in the training set of 914 subjects.
| Univariate | Multivariate | |||||
| OR | 95% CI | OR | 95% CI | |||
| Rash | 0.391 | 0.221–0.692 | 0.001 | 0.509 | 0.276–0.938 | 0.031 |
| Complete presentation | 0.510 | 0.277–0.940 | 0.031 | |||
| WBC, × 103/μL | 0.891 | 0.836–0.950 | <0.001 | |||
| Neutrophil,% | 0.951 | 0.937–0.966 | <0.001 | 0.975 | 0.958–0.993 | 0.007 |
| Albumin (mg/dL) | 3.106 | 1.668–5.783 | <0.001 | |||
| AST, IU/L | 0.989 | 0.981–0.998 | 0.012 | |||
| ALT, IU/L | 0.988 | 0.982–0.995 | <0.001 | 0.993 | 0.988–0.999 | 0.026 |
| Na+, mmol/L | 1.213 | 1.098–1.341 | <0.001 | |||
| C-reactive protein (mg/dL) | 0.738 | 0.668–0.817 | <0.001 | 0.806 | 0.727–0.893 | <0.001 |
OR, Odds ratio; CI, confidence interval; WBC, white blood cell; AST, aspartate aminotransferase; ALT, alanine aminotransferase.
Scoring model of spontaneous defervescence based on the multivariate logistic regression analysis.
| Parameter | Cutoff | OR | 95% CI | Regression coefficients | Score | |
| No rash | 2.084 | 1.147–3.788 | 0.016 | 0.367 | 1 | |
| Neutrophil,% | ≤65 | 3.053 | 1.625–5.738 | 0.001 | 0.558 | 1.5 |
| ALT, IU/L | ≤80 | 3.342 | 1.292–8.648 | 0.013 | 0.603 | 1.5 |
| C-reactive protein (mg/dL) | ≤10 | 8.616 | 2.059–36.058 | 0.003 | 1.077 | 3 |
OR, Odds ratio; CI, confidence interval; ALT, alanine aminotransferase.
FIGURE 2Receiver operating characteristic (ROC) curve analysis for the prediction of spontaneous defervescence. Panel (A) shows the multivariate regression model in the training set (AUC = 0.784, 0.737–0.834) and panel (B) shows multivariate regression model in the validation set (AUC = 0.787, 0.730–0.843).
FIGURE 3Calibration plots. The scoring system for the prediction of spontaneous defervescence showed a good fitting degree in the Hosmer–Lemeshow test in the training set (P = 0.559) (A) and it also showed a good fitting degree in the validation set (P = 0.704) (B).