Analysis of influencing factors and therapeutic effects of hemodialysis combined with pulmonary infection in patients with diabetes nephropathy
10.3760/cma.j.cn431274-20220808-00785
- VernacularTitle:糖尿病肾病患者血液透析合并肺部感染的影响因素及治疗后疗效分析
- Author:
Ying YING
1
;
Shaojuan CHEN
;
Lingyan HE
Author Information
1. 丽水市中心医院肾内科，丽水 323000
- Keywords:
Diabetic nephropathies;
Hemodialysis;
Pulmonary infection;
Risk factors
- From:
Journal of Chinese Physician
2023;25(5):744-747
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate and analyze the risk factors of pulmonary infection in hemodialysis patients with diabetes nephropathy (DN), and explore the effect of different antibiotic application methods on the efficacy of DN patients with pulmonary infection.Methods:337 inpatients with DN who were admitted to Lishui Central Hospital from August 2021 to April 2022 were selected as the study subjects, and the proportion of pathogenic bacteria in patients with pulmonary infection caused by hemodialysis was analyzed, and the influencing factors of pulmonary infection were analyzed by single factor and multiple factor logistic regression models. DN patients with pulmonary infection were treated with single or multiple antibiotics, and their curative effects were analyzed and compared.Results:Among 337 hospitalized patients with DN in this study, the rate of pulmonary infection caused by hemodialysis was 24.04%(81/337). 87 strains of pathogenic bacteria were cultivated, and the main pathogens of the infected individuals were Klebsiella pneumoniae (36.78%, 32/87), Staphylococcus aureus (17.24%, 15/87), and Acinetobacter baumannii (16.09%, 14/87). The results of univariate analysis showed that patient age, dialysis time, hospital stay, hemoglobin, postprandial blood glucose, malnutrition (blood albumin level<35 g/L), renal function, and volume load were the influencing factors for pulmonary infection in DN patients undergoing hemodialysis (all P<0.05). Multivariate logistic regression model analysis showed that dialysis time, hemoglobin, postprandial, blood glucose malnutrition, renal function, and volume load were risk factors for pulmonary infection caused by hemodialysis (all P<0.05). After treatment, the levels of white blood cells, neutrophils, and hypersensitive reactive protein in patients with pulmonary infection were significantly reduced compared to before treatment (all P<0.05). The effective rate of multi antibiotic therapy (97.44%, 38/39) was higher than that of single antibiotic therapy (80.95%, 34/42) (χ 2=5.563, P=0.018). Conclusions:There are many independent risk factors for pulmonary infection during hemodialysis in DN patients. The infection rate should be reduced through adequate dialysis, blood glucose control, nutrition supplementation, anemia correction and other measures, and the infected can be treated timely with antibiotics according to the situation.
