Analysis in risk factors of respiratory tract infectionin preschool children and construction of nomogram prediction model

ZHOU Lanmei; JIANG Lijun; ZHU Fengxia; ZHAO Xuemei; JIN Yanting

doi:10.7619/jcmp.20211520

Journal of Clinical Medicine in Practice > 2021 > 25(14): 9-14. > DOI: 10.7619/jcmp.20211520

ZHOU Lanmei, JIANG Lijun, ZHU Fengxia, ZHAO Xuemei, JIN Yanting. Analysis in risk factors of respiratory tract infectionin preschool children and construction of nomogram prediction model[J]. Journal of Clinical Medicine in Practice, 2021, 25(14): 9-14. DOI: 10.7619/jcmp.20211520

Citation:

PDF (1262 KB)

Analysis in risk factors of respiratory tract infectionin preschool children and construction of nomogram prediction model

Department of Pediatrics, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, 225001

More Information

Received Date: April 08, 2021
Available Online: July 05, 2021
Published Date: July 27, 2021

Graphical Abstract

Abstract

Abstract

Objective To analyze the risk factors of respiratory tract infection in preschool children, and establish a quantitative nomogram prediction model.
Methods A cross-sectional survey and stratified cluster random sampling were used to select 2 208 preschool children from 3 kindergartens, and they were diagnosed according to the diagnostic criteria of recurrent respiratory tract infection, upper respiratory tract infection and lower respiratory tract infection. The main risk factors of respiratory tract infection in preschoolers were analyzed.
Results In 2 208 preschoolers, there were 522 children (23.6%) with recurrent respiratory tract infection, 265 children(12.0%) with upper respiratory tract infection and 397 children (18.0%) with lower respiratory tract infection. Logistic regression analysis showed that asthma, allergic history, initial use of antibiotics < 6 months, breastfeeding time < 6 months and increase of maternal body mass index (BMI) for every 3 kg/m² were the main risk factors of recurrent respiratory tract infection and lower respiratory tract infection, while asthma, allergic history, initial use of antibiotics < 6 months and increase of maternal BMI for every 3 kg/m² were the main risk factors of upper respiratory tract infection(P < 0.05). Receiver Operating Curve (ROC) analysis showed that Area Under Curves (AUC) of nomogram for predicting recurrent respiratory tract infection, upper respiratory tract infection and lower respiratory tract infection were 0.865, 0.833 and 0.841, respectively (P < 0.05).
Conclusion Preschool children have a high incidence of respiratory tract infection. Asthma, allergic history, initial use of antibiotic < 6 months and increase of maternal BMI for every 3 kg/m² are the main risk factors of recurrent respiratory tract infection and lower respiratory tract infection. The establishment of a quantitative nomogram model can better guide clinical physicians to early identify high-risk children and carry out early intervention.
- preschool children,
- recurrent respiratory tract infection,
- risk factors,
- nomogram model,
- cross-sectional survey

FullText(HTML)

References (20)

References

[1]	MARENGO R, ORTEGA MARTELL J A, ESPOSITO S. Paediatric recurrent ear, nose and throat infections and complications: can we do more[J]. Infect Dis Ther, 2020, 9(2): 275-290. doi: 10.1007/s40121-020-00289-3
[2]	LIU L, OZA S, HOGAN D, et al. Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis[J]. Lancet, 2015, 385(10): 430-440. http://www.sciencedirect.com/science/article/pii/S0140673614616986
[3]	DE BENEDICTIS F M, BUSH A. Recurrent lower respiratory tract infections in children[J]. BMJ Clin Res Ed, 2018, 362: k2698.
[4]	SHI T, BALSELLS E, WASTNEDGE E, et al. Risk factors for respiratory syncytial virus associated with acute lower respiratory infection in children under five years: Systematic review and meta-analysis[J]. J Glob Health, 2015, 5(2): 020416. doi: 10.7189/jogh.05.020416
[5]	KUMAR V. Recurrent respiratory infections[J]. Indian J Pediatr, 1967, 34(8): 283-287. doi: 10.1007/BF02749427
[6]	GBD 2016 LOWER RESPIRATORY INFECTIONS COLLABORATORS. Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016[J]. Lancet Infect Dis, 2018, 18(11): 1191-1210. doi: 10.1016/S1473-3099(18)30310-4
[7]	TOIVONEN L, KARPPINEN S, SCHUEZ-HAVUPALO L, et al. Burden of recurrent respiratory tract infections in children: a prospective cohort study[J]. Pediatr Infect Dis J, 2016, 35(12): e362-e369. doi: 10.1097/INF.0000000000001304
[8]	DE OLIVEIRA T B, KLERING E A, DA VEIGA A B G. Is recurrent respiratory infection associated with allergic respiratory disease?[J]. J Asthma, 2019, 56(2): 160-166. doi: 10.1080/02770903.2018.1445266
[9]	韩菲, 戴锦程, 孙杭, 等. 224例肺炎链球菌感染患儿临床特征及耐药分析[J]. 中华实验和临床感染病杂志: 电子版, 2019, 13(5): 357-361. doi: 10.3877/cma.j.issn.1674-1358.2019.05.002
[10]	全守东, 乐原, 杜振元, 等. 肺炎支原体感染哮喘患儿血清CD40L和VCAM-1水平及意义[J]. 中华医院感染学杂志, 2020, 30(22): 3474-3478. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHYY202022026.htm
[11]	ODDY W H. Breastfeeding, childhood asthma, and allergic disease[J]. Ann Nutr Metab, 2017, 70(Suppl 2): 26-36. http://www.ncbi.nlm.nih.gov/pubmed/28521318
[12]	ESPOSITO S, SOTO-MARTINEZ M E, FELESZKO W, et al. Nonspecific immunomodulators for recurrent respiratory tract infections, wheezing and asthma in children: a systematic review of mechanistic and clinical evidence[J]. Curr Opin Allergy Clin Immunol, 2018, 18(3): 198-209. doi: 10.1097/ACI.0000000000000433
[13]	胡燕, 毛萌. 重视过敏性疾病高风险儿童的早期筛查[J]. 临床儿科杂志, 2020, 38(12): 881-883. doi: 10.3969/j.issn.1000-3606.2020.12.001
[14]	SAHIN O N, YAPRAK P, GVLEN F, et al. Mold hypersensitivity in children with frequent respiratory tract infection and prolonged cough attacks[J]. Kulak Burun Bogaz Ihtis Derg, 2014, 24(4): 195-199. doi: 10.5606/kbbihtisas.2014.63644
[15]	DABANIYASTI D, EKSI F, KESKIN Ö, et al. An investigation into respiratory tract viruses in children with acute lower respiratory tract infection or wheezing[J]. Minerva Pediatr, 2020, 72(1): 45-54. http://www.ncbi.nlm.nih.gov/pubmed/27854115
[16]	巫伟生, 李斯, 张必旗, 等. 肺炎支原体感染不同病期婴幼儿免疫功能及炎症因子的动态变化[J]. 中华实验和临床感染病杂志: 电子版, 2019, 13(1): 54-59. https://www.cnki.com.cn/Article/CJFDTOTAL-ZSGR201901011.htm
[17]	SANDOVAL JURADO L, JIMÉNEZ BÁEZ M V, OLIVARES JUÁREZ S, et al. Breastfeeding, complementary feeding and risk of childhood obesity[J]. Aten Primaria, 2016, 48(9): 572-578. doi: 10.1016/j.aprim.2015.10.004
[18]	VERSPORTEN A, BIELICKI J, DRAPIER N, et al. The Worldwide Antibiotic Resistance and Prescribing in European Children (ARPEC) point prevalence survey: developing hospital-quality indicators of antibiotic prescribing for children[J]. J Antimicrob Chemother, 2016, 71(4): 1106-1117. doi: 10.1093/jac/dkv418
[19]	AHMADIZAR F, VIJVERBERG S J H, ARETS H G M, et al. Early life antibiotic use and the risk of asthma and asthma exacerbations in children[J]. Pediatr Allergy Immunol, 2017, 28(5): 430-437. doi: 10.1111/pai.12725
[20]	O'DWYER D N, DICKSON R P, MOORE B B. The lung microbiome, immunity, and the pathogenesis of chronic lung disease[J]. J Immunol, 2016, 196(12): 4839-4847. doi: 10.4049/jimmunol.1600279

[1]	SHENG Zhenfang, WANG Zhaoxiang, ZHONG Shao, TANG Fengyan. A large sample cross-sectional study of the relationship between relative fat mass index and gallstones in adults based on the NHANES database[J]. Journal of Clinical Medicine in Practice, 2025, 29(2): 108-113, 118. DOI: 10.7619/jcmp.20243680
[2]	LU Chang, ZHANG Ying, WU Fangqin, ZOU Yingbin. Related factors of implementation status of cardiac rehabilitation by nurses in cardiovascular departments[J]. Journal of Clinical Medicine in Practice, 2024, 28(22): 115-118, 122. DOI: 10.7619/jcmp.20242872
[3]	XU Yanyan, CHEN Qian, NIU Yulin, DING Bei. Influencing factors of medication adherence among adult renal transplant recipients[J]. Journal of Clinical Medicine in Practice, 2024, 28(18): 90-94. DOI: 10.7619/jcmp.20242534
[4]	LI Xiaoyan, GU Hong. Construction of predictive nomogram model for postpartum post-traumatic stress disorder in pregnant women after delivery[J]. Journal of Clinical Medicine in Practice, 2023, 27(18): 100-106. DOI: 10.7619/jcmp.20232564
[5]	FENG Chong, SONG Jingzhe, KONG Xiang, XU Qian, LIU Lizhuo, LU Yang. Establishment of nomogram model for postpartum hemorrhage in delivery puerperas with uterine scar undergoing re-cesarean section[J]. Journal of Clinical Medicine in Practice, 2022, 26(14): 92-96. DOI: 10.7619/jcmp.20220419
[6]	SHU Fangfang, BAO Lei, ZHU Bei, FAN Xin, ZHU Liqun. A cross-sectional research on preoperative anxiety status, focus of fear and influencing factors in adult patients with selective operation[J]. Journal of Clinical Medicine in Practice, 2022, 26(6): 72-76. DOI: 10.7619/jcmp.20220360
[7]	HUANG Yu, FAN Chunsun, SHI Yanan. Research on prevalence rate and related factors of hypertension and diabetes in senile people based on cross-sectional data of CLHLS study in 2018[J]. Journal of Clinical Medicine in Practice, 2021, 25(2): 49-53. DOI: 10.7619/jcmp.20200383
[8]	ZHU Zhigao, LIANG Kai. Analysis of prognostic influential factors in patients with oropharyngeal squamous cell carcinoma[J]. Journal of Clinical Medicine in Practice, 2013, (11): 44-46,49. DOI: 10.7619/jcmp.201311014
[9]	WU Jingwen. Research of influential factors on anxiety and depression emotions in voluntary blood donors[J]. Journal of Clinical Medicine in Practice, 2013, (10): 45-48. DOI: 10.7619/jcmp.201310018
[10]	TANG Wei, CAI Ya, HUANG Xiao-ping, DUAN Yu, ZHANG Mei, CUI Dai, LIU Chao. Survey of depression status in patients with type 2 diabetes mellitus and analysis of risk factors[J]. Journal of Clinical Medicine in Practice, 2012, (5): 125-128. DOI: 10.3969/j.issn.1672-2353.2012.05.045

Cited By

Cited by

Periodical cited type(7)

1.	廖育荣，陈玉珠，黄小倩. 基因芯片技术联合Xpert MTB/RIF检测对涂阴肺结核的诊断效能分析. 中国医药指南. 2025(06): 123-125 .
2.	李欣，朱小刚，骆敏霞. 菌阴活动性肺结核的多层螺旋CT影像学特征及诊断模型构建. 分子影像学杂志. 2024(01): 83-87 .
3.	孙桂英，倪晓艳. 痰涂片镜检、基因芯片技术及GeneXpert MTB/RIF对疑似肺结核患者的检测效能分析. 检验医学与临床. 2024(20): 3074-3078 .
4.	柯尊友，陶晓东，张秀军，孙金军，徐红丽. 分子生物学技术在耐多药/耐利福平结核病诊断中的应用进展. 浙江中西医结合杂志. 2024(11): 1073-1077 .
5.	韩东梅，来守永，李莉，顾勐. 多层螺旋CT在单发性肺结核空洞和肺癌空洞中的应用价值. 中外医学研究. 2023(09): 60-64 .
6.	章先，王继璇，丁伟勇，鲍建芳，李肖梁. 抗体芯片应用于真菌毒素多重检测的综合性实验设计. 实验技术与管理. 2023(05): 11-17 .
7.	梁志勇. T-SPOT.TB在涂阴活动性肺结核诊断中的临床价值. 罕少疾病杂志. 2023(09): 43-45 .

Other cited types(2)

Get Citation

PDF

XML

Article views (411) PDF downloads (47) Cited by(9)

Turn off MathJax

Article Contents

Abstract

References

Analysis in risk factors of respiratory tract infectionin preschool children and construction of nomogram prediction model