Using targeted second-generation sequencing technique to guide clinical diagnosis and the effect of medication on the therapeutic effect and prognosis of respiratory tract infection in children: An observational study.

Di Lian,Qiuyu Tang, Ling Wu, Xing Liao

Medicine(2024)

引用 0|浏览0
暂无评分
摘要
To explore the effect of targeted second-generation sequencing technique to guide clinical diagnosis and medication on the therapeutic effect and prognosis of respiratory tract infection (RTI) in children. During January 2021 to June 2022, 320 children with RTI cured were selected in our hospital as the object of this retrospective study. The control group accepted empirical broad-spectrum antibacterial therapy and the observation group accepted targeted second-generation sequencing technique to guide diagnosis and medication. The therapeutic effect, improvement time of clinical symptom index, laboratory-related index, level of inflammatory factors, incidence of complications, and parents' treatment satisfaction were compared. The observation group was considerably more efficacious (91.25%) versus the controlled group (72.50%). The duration of enhancement of fever, nasal congestion, tonsillar congestion, and cough symptoms was shorter in the observation group (P < .05). Serum levels of iron, IgA, IgG as well as IgM were substantially elevated in the observation group. The levels of IL-4 and IL-10 were markedly reduced in the observation group after treatment. The prevalence of complications was considerably below that of the comparison group (21.25%) in the observation group (8.75%). Parental satisfaction with therapy was markedly higher in the observation group (92.50%) than in the control group (66.25%). The application of targeted second-generation sequencing technology to guide clinical diagnosis and drug use can elevate the RTIs efficacy and prognosis in childhood. Targeted second-generation sequencing can achieve precise treatment, reduce drug resistance of drug-resistant strains, and improve the efficacy. It has high promotion and application value.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要