| Literature DB >> 29948255 |
Xuan Li1, Ye Chen1, Yunjia Tang1, Yueyue Ding1, Qiuqin Xu1, Lin Sun1, Weiguo Qian1, Guanghui Qian2, Liqiang Qin3, Haitao Lv4.
Abstract
The purpose of this study was to identify the clinical features and laboratory factors that are predictive of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease. Multiple databases were searched for relevant studies on IVIG-resistant Kawasaki disease published from January 2002 to April 2017. Eligible studies were retrieved by manual review of the references. Stata 12 was used for the meta-analysis. Weighted mean differences and odds ratios with 95% confidence intervals were calculated for several indices. Twenty-eight studies involving 26,260 patients comprising 4442 IVIG-resistant Kawasaki disease patients and 21,818 IVIG-sensitive Kawasaki disease patients were included. The meta-analysis showed that the erythrocyte sedimentation rate (ESR) in the IVIG-resistant group was significantly higher than that in the IVIG-sensitive group, and that platelet count and hemoglobin levels were significantly lower in the IVIG-resistant group. The patients with oral mucosa alterations, cervical lymphadenopathy, swelling of the extremities, polymorphous rash, and initial administration of IVIG ≤ 4.0 days after the onset of symptoms were more likely to be IVIG resistant.Entities:
Keywords: Intravenous immunoglobulin; Kawasaki disease; Meta-analysis; Risk
Mesh:
Substances:
Year: 2018 PMID: 29948255 PMCID: PMC6061038 DOI: 10.1007/s00431-018-3182-2
Source DB: PubMed Journal: Eur J Pediatr ISSN: 0340-6199 Impact factor: 3.183
Fig. 1Literature selection for the meta-analysis
Characteristics of patients included in the study
| Author | Year | Mean age (months) | Sex (female/male) | Number of patients of IVIG-resistant, | Number of patients of IVIG-sensitive, | The rate of IVIG-resistant(%) | Location |
|---|---|---|---|---|---|---|---|
| Durongpisitkul et al. [ | 2003 | Average 26.35 | 52/68 | 14 | 106 | 11.67% | China |
| Kobayashi et al. [ | 2006 | 29.1 ± 22.1 | 231/315 | 112 | 434 | 20.51% | Japan |
| Sano et al. [ | 2007 | Average 27.24 | 59/53 | 22 | 90 | 19.64% | Japan |
| Egami et al. [ | 2006 | Average 27.6 | 136/184 | 41 | 279 | 12.81% | Japan |
| Muta et al. [ | 2006 | Average 30.61 | 4822/6544 | 1855 | 9511 | 16.32% | Japan |
| Du et al. [ | 2006 | 31.2 ± 26.4 | 370/682 | 135 | 917 | 12.83% | China |
| Cha et al. [ | 2008 | Average 35.37 | 17/34 | 18 | 33 | 35.29% | Korea |
| Uehara et al. [ | 2008 | – | 2643/3687 | 1286 | 5044 | 20.32 | Japan |
| Ashouri et al. [ | 2008 | 35.13 | 83/113 | 40 | 156 | 20.41 | North America |
| Tremoulet et al. [ | 2008 | – | – | 60 | 302 | 16.57 | North America |
| Piao et al. [ | 2009 | 25.48 | 75/147 | 37 | 185 | 16.67 | China |
| Rigante et al. [ | 2010 | 23.8 | 12/20 | 5 | 27 | 15.63 | North America |
| Kuo et al. [ | 2010 | 19.25 | 39/92 | 20 | 111 | 15.27 | China |
| Hwang et al. [ | 2011 | 28.77 | 103/126 | 23 | 206 | 10.04 | Korea |
| Sleeper et al. [ | 2011 | 39.22 | 74/124 | 27 | 171 | 13.64 | North America |
| Liu et al. [ | 2012 | – | 110/268 | 24 | 354 | 6.35 | China |
| Yan et al. [ | 2012 | 29.92 | 77/142 | 21 | 198 | 9.59 | China |
| Sato et al. [ | 2013 | 26.7 | 43/62 | 21 | 84 | 20.00 | Japan |
| Fu et al. [ | 2013 | – | 431/746 | 211 | 966 | 17.93 | China |
| Kim et al. [ | 2013 | 29.24 | 51/84 | 22 | 113 | 16.30 | North America |
| Ou-Yang et al. [ | 2013 | 19.86 | 23/40 | 5 | 58 | 7.94 | China |
| Choi et al. [ | 2014 | 33.47 | 231/342 | 158 | 415 | 27.57 | Korea |
| Lee et al. [ | 2014 | 38.22 | 44/47 | 11 | 80 | 12.09 | Korea |
| Lin et al. [ | 2016 | 22.8 | 74/107 | 22 | 159 | 12.15 | China |
| Nakagama et al. [ | 2016 | 33.75 | 62/109 | 54 | 117 | 31.58 | Japan |
| Kim et al. [ | 2016 | 31.9 | 302/401 | 118 | 585 | 16.79 | Korea |
| Lee et al. [ | 2016 | – | 128/159 | 34 | 253 | 11.85 | Korea |
| Tang et al. [ | 2016 | – | 584/326 | 46 | 864 | 5.05 | China |
Pooled estimates of indices of high-risk factors on intravenous immunoglobulin (IVIG) resistance
| Variables | Number of trials | I2 (%) | Net change (95%CI) |
|
|---|---|---|---|---|
| Initiation of IVIG treatment | 5 | 97.4 | 1.64 (1.05, 2.57) | 0.03 |
| Hemoglobin | 16 | 36.4 | − 0.12 (− 0.21, − 0.02) | 0.02 |
| Platelet count | 20 | 40.3 | − 26.55 (− 35.52, − 17.58) | < 0.001 |
| Erythrocyte sedimentation rate | 14 | 21.1 | 3.36 (1.08, 5.65) | 0.004 |
| Changes in oral mucosa | 10 | 0 | 1.39 (1.18, 1.65) | < 0.001 |
| Conjunctival congestion | 10 | 0 | 0.97 (0.83, 1.15) | 0.755 |
| Cervical lymphadenopathy | 11 | 50.8 | 1.42 (1.11, 1.81) | 0.06 |
| Swelling of extremities | 11 | 77.4 | 1.54 (1.03, 2.31) | < 0.001 |
| Polymorphous rash | 11 | 0 | 1.90 (1.63, 2.21) | < 0.001 |
Fig. 2Prevalence of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease among patients who received IVIG treatment ≤ 4.0 days after the onset of symptoms
Fig. 3Hemoglobin as a predictive index for resistance to intravenous immunoglobulin therapy in Kawasaki disease
Fig. 4Platelet count as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Fig. 5Erythrocyte sedimentation rate (ESR) as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Fig. 6Changes in oral mucosa as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Fig. 7Conjunctival congestion as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Fig. 8Cervical lymphadenopathy as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Fig. 9Swelling of the extremities as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Fig. 10Polymorphous rash as a predictive index for intravenous immunoglobulin resistance in Kawasaki disease
Subgroup analyses for meta-analysis of the risk of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease
| Factor | Geographic area | Number of studies | WMD (95% CI) | Pheterogeneity | Pdifference | |
|---|---|---|---|---|---|---|
| Hemoglobin | Asian [ | 14 | − 0.14 (− 0.29, 0.01) | 0.05 | 41.8 | 0.07 |
| Non-Asian [ | 2 | − 0.42 (− 0.97, 0.13) | 0.90 | 0 | ||
| Platelet count | Asian [ | 18 | − 23.22 (− 36.88, − 9.55) | 0.06 | 37.1 | 0.03 |
| Non-Asian [ | 2 | − 63.99 (−40.57, − 13.58) | 0.77 | 0 | ||
| Erythrocyte sedimentation rate | Asian [ | 12 | 3.76 (0.76, 6.77) | 0.20 | 25.3 | 0.22 |
| Non-Asian [ | 2 | 1.94 (− 9.43, 13.30) | 0.19 | 42.0 | ||
| Changes in oral mucosa | Asian [ | 9 | 1.37 (1.16, 1.62) | 0.46 | 0 | 0.55 |
| Non-Asian [ | 1 | 2.11 (0.10, 45.18) | NA | NA | ||
| Conjunctival congestion | Asian [ | 9 | 0.98 (0.83, 1.16) | 0.54 | 0 | 0.54 |
| Non-Asian [ | 1 | 0.34 (0.83, 1.15) | NA | NA | ||
| Cervical lymphadenopathy | Asian [ | 10 | 1.43 (1.12,1.84) | 0.02 | 53.9 | 0.03 |
| Non-Asian [ | 1 | .63 (0.09, 4.53) | NA | NA | ||
| Swelling of extremities | Asian [ | 10 | 1.58 (1.05, 2.38) | 0.00 | 79.1 | 0.00 |
| Non-Asian [ | 1 | 0.75 (0.11, 5.32) | NA | NA | ||
| Polymorphous rash | Asian [ | 10 | 1.84 (1.55, 2.18) | 0.39 | 5.2 | 0.48 |
| Non-Asian [ | 1 | 2.69 (0.13, 56.30) | NA | NA |
WMD weighted mean difference, 95%CI 95% confidence intervals
Subgroup analyses for meta-analysis of platelet count and erythrocyte sedimentation rate
| Factor | Geographic area | Number of studies | WMD (95% CI) | Pheterogeneity | Pdifference | |
|---|---|---|---|---|---|---|
| Platelet count | Japan | 2 | − 43.535 (−66.61, − 20.46) | 0.59 | 0 | .03 |
| China | 10 | − 14.221 (−28.32, − 0.13) | 0.43 | 0.4 | ||
| Korea | 6 | − 32.851 (−60.42, − 5.29) | 0.02 | 61.6 | ||
| Non-Asian | 2 | − 63.985 (95% CI − 99.09, − 28.88) | 0.77 | 0 | ||
| Erythrocyte sedimentation rate | Japan | 1 | 10.000 (− 2.74, 22.74) | – | – | .22 |
| China | 6 | 4.588 (1.50, 7.67) | 0.50 | 42.0 | ||
| Korea | 5 | 2.162 (− 3.75, 8.08) | 0.12 | 44.7 | ||
| Non-Asian | 2 | 1.936 (− 9.43, 13.30) | 0.190 | 21.1 |
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