Department of Pediatrics, Mansoura University Children's Hospital, Mansoura University Faculty of Medicine, Mansoura, Egypt.
Rheumatology & Rehabilitation Department, Mansoura University Hospitals, Mansoura University Faculty of medicine , 60 Elgomhoria St, Mansoura, 35516, Egypt.
Clin Rheumatol. 2023 Apr;42(4):1151-1161. doi: 10.1007/s10067-022-06444-0. Epub 2022 Nov 21.
About 25-50% of multisystem inflammatory syndrome in children (MIS-C) patients meet the criteria for diagnosis of Kawasaki disease (KD). The differentiation of both conditions is so challenging on clinical practice as the management of both is time dependant and precise diagnosis is fundamental.
Data were collected from children < 18 years old hospitalized with MIS-C or KD. Patient demographics, clinical, and laboratory data were compared, and a discrimination score was created to assist in clinical differentiation.
72 patients with MIS-C and 18 with KD were included in the study. Patients with MIS-C had a higher prevalence of abdominal pain (p = 0.02), vomiting (p = 0.03), and cervical lymphadenopathy (p = 0.02) compared with KD cases. MIS-C patients had higher liver enzymes (aspartate aminotransferase (AST) (p = 0.04), alanine aminotransferase (ALT) (p = 0.03), serum creatinine (p = 0.03), and lower platelet count nadir (p = 0.02) than KD. Four variables were detected in the regression analysis model, and the independent predictors were utilized to generate a scoring model that distinguished MIS-C from KD with an area under the curve of 0.70.
This study constructed a prediction model for differentiation of MIS-C from KD based on clinical and laboratory profiles. This model will be valuable to guide clinicians in the treatment decisions. Key Points • Children with MIS-C are more likely to have gastrointestinal symptoms, cervical lymphadenopathy, and respiratory involvement than KD patients. • Elevated liver enzymes and lower platelet count are more pronounced laboratory findings in MIS-C than KD. • This study constructed a prediction model for differentiation of MIS-C from KD based on clinical and laboratory profiles. This model will be valuable to guide clinicians in the treatment decisions.
约 25-50%的儿童多系统炎症综合征(MIS-C)患者符合川崎病(KD)的诊断标准。由于两种疾病的临床表现非常相似,因此在临床实践中很难区分,而及时准确的诊断至关重要。
本研究收集了年龄<18 岁的 MIS-C 或 KD 住院患儿的数据。比较了患者的人口统计学、临床和实验室数据,并创建了一个鉴别评分以辅助临床鉴别。
本研究共纳入 72 例 MIS-C 患儿和 18 例 KD 患儿。与 KD 患儿相比,MIS-C 患儿更常出现腹痛(p=0.02)、呕吐(p=0.03)和颈淋巴结肿大(p=0.02)。MIS-C 患儿的肝酶(天门冬氨酸氨基转移酶(AST)(p=0.04)、丙氨酸氨基转移酶(ALT)(p=0.03)、血清肌酐(p=0.03)更高,血小板计数最低值(p=0.02)更低。回归分析模型检测到 4 个变量,利用独立预测因子生成的评分模型可将 MIS-C 与 KD 区分开来,曲线下面积为 0.70。
本研究基于临床和实验室特征构建了 MIS-C 与 KD 鉴别预测模型。该模型将有助于指导临床医生进行治疗决策。
MIS-C 患儿比 KD 患儿更有可能出现胃肠道症状、颈淋巴结肿大和呼吸道受累。
MIS-C 患儿的肝酶升高和血小板计数降低比 KD 患儿更为明显。
本研究基于临床和实验室特征构建了 MIS-C 与 KD 鉴别预测模型。该模型将有助于指导临床医生进行治疗决策。