METHODS: We conducted a hospital-based retrospective cross-sectional study. The data collector installed an Epi5 collector electronic data-collecting tool from Google Play. Then, we exported the data to Stata version 15.1 for analysis. The mean, standard deviation, frequency, and percentage were used for descriptive statistics. The logistic regression model was used to identify the factors associated with infection.
RESULTS: In this study, the prevalence of infection among nephrotic syndrome children is 39.8% (95%CI: 30.7, 49.7). The types of infection identified were pneumonia, urinary tract infection, diarrheal disease, cutaneous fungal infection, intestinal parasitic infection, and sepsis. The presence of hematuria increased the odds of infection by 5-times. On the other hand, low level of serum albumin increased the odds of infection by 7%. Being a rural resident increased the odds of infection by 3.3-times as compared to urban.
CONCLUSIONS: Serum albumin level, presence of hematuria, and rural residence were significantly associated with infection. We recommended a longitudinal incidence study on large sample size at multicenter to strengthen this finding.
方法:我们进行了一项基于医院的回顾性横断面研究。数据收集器安装了GooglePlay的Epi5收集器电子数据收集工具。然后,我们将数据导出到Stata15.1版进行分析。意思是,标准偏差,频率,和百分比用于描述性统计。采用logistic回归模型确定与感染相关的因素。
结果:在这项研究中,肾病综合征患儿的感染率为39.8%(95CI:30.7,49.7).确定的感染类型是肺炎,尿路感染,腹泻病,皮肤真菌感染,肠道寄生虫感染,还有败血症.血尿的存在使感染的几率增加了5倍。另一方面,低水平的血清白蛋白使感染的几率增加了7%。与城市相比,成为农村居民的感染几率增加了3.3倍。
结论:血清白蛋白水平,血尿的存在,和农村居住地与感染显著相关。我们建议在多中心进行大样本量的纵向发生率研究,以加强这一发现。