Influencing Factors Analysis and Nomogram Model Construction of Mycoplasma Pneumonia in Children with Severe Pneumonia
10.11969/j.issn.1673-548X.2023.11.014
- VernacularTitle:儿童支原体肺炎重症肺炎影响因素分析及列线图模型构建
- Author:
Yanan KANG
1
;
Xiuhui LI
;
Peihui GONG
Author Information
1. 030001 太原,山西医科大学公共卫生学院流行病学教研室
- Keywords:
Mycoplasma pneumonia;
Critical;
Children;
Nomogram
- From:
Journal of Medical Research
2023;52(11):69-73
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the influencing factors of severe pneumonia in children with mycoplasma pneumonia.Methods A total of 307 children with mycoplasma pneumonia hospitalized in Shanxi Children′s Hospital from March 2021 to February 2022 were se-lected as the study subjects and divided into severe group(200 cases)and non-severe group(107 cases).The differences of the clinical data between the two groups were compared,and a nomogram prediction model was established,and the model was internally validated.Results The severe group had more patients aged≤3 and<6 years,≥6 and≤10 years and autumn and winter(P<0.05).There were significant differences in the course of disease,peak body temperature,abnormal electrocardiogram findings,three concave signs positive,perioral cyanosis,extrapulmonary manifestations,and involvement of other systems between the two groups(P<0.05).There were significant differences between the two groups in 15 indicators including epstein-barr virus infection,antibody titer levels,and C-reactive protein among the laboratory test indicators(P<0.05).The Logistic regression analysis showed that long disease duration and el-evated platelet count,lactate dehydrogenase,and Th cell levels were positively correlated with the occurrence of severe pneumonia,and elevated NK cell levels were negatively correlated with the occurrence of severe pneumonia(P<0.05).The nomogram results showed that the probability of severe pneumonia was 92.8%,the calibration curve was basically consistent with the ideal curve,the area under the re-ceiver operating characteristic curve was0.819,and the decision curve showed a high net benefit value when the threshold probability was 4%-89%.Conclusion The nomogram model is helpful for early detection of severe pneumonia in children with mycoplasma pneumoni-a,and has important significance for preventing the development of severe pneumonia.
