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Analysis of Risk Factors of Hospital Infection

Ping Hai

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Abstract

Objective To analyse the factors associated with HI, to identify patients at high risk of getting HI, and to bring forth some prevention and controlling measures. Methods A 1∶1 matched case-control study was adopted. After univariate analysis was conducted for determining the variables associated with HI, a stepwise multiple-regression conditional Logistic model was developed to identify the potential independent factors associated with HI. Results Conditional Logistic regression analysis showed that the following candidates were independent risk factor. They were extreme age (OR=3.24), severity of illness (OR=1.54), cancer (OR=2.75), diabetes (OR=3.20), kidney disease (OR=4.53) and cerebral hemorrhage or infarction (OR=5.43), numbers of discharge diagnosis (OR=1.74), organ insufficiency (OR=4.11), over 2 times of invasive operation manipulation(OR=3.68), urinary catheter (OR=2.60), intravenous catheter (OR=5.06), over 10 days chemotherapy (OR=3.69), number of antibiotics prescribed (OR=1.38/kind). Hospitalization days before hospital infection (OR=0.987/d) showed no association with occurrence of hospital infection. Conclusion Protecting patients with high risk of HI, keeping with the regulation of disinfections and isolation, and complying with germfree procedure in clinical practice, using antibiotics appropriately are main measures in preventing and controlling of HI.

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What this paper is about

Objective To analyse the factors associated with HI, to identify patients at high risk of getting HI, and to bring forth some prevention and controlling measures. Methods A 1∶1 matched case-control study was adopted. After univariate analysis was conducted for determining the variables associated with HI, a stepwise multiple-regression conditional Logistic model was developed to identify the potential independent factors associated with HI. Results Conditional Logistic regression analysis showed that the following candidates were independent risk factor. They were extreme age (OR=3.24), severity of illness (OR=1.54), cancer (OR=2.75), diabetes (OR=3.20), kidney disease (OR=4.53) and cerebral hemorrhage or infarction (OR=5.43), numbers of discharge diagnosis (OR=1.74), organ insufficiency (OR=4.11), over 2 times of invasive operation manipulation(OR=3.68), urinary catheter (OR=2.60), intravenous catheter (OR=5.06), over 10 days chemotherapy (OR=3.69), number of antibiotics prescribed (OR=1.38/kind). Hospitalization days before hospital infection (OR=0.987/d) showed no association with occurrence of hospital infection. Conclusion Protecting patients with high risk of HI, keeping with the regulation of disinfections and isolation, and complying with germfree procedure in clinical practice, using antibiotics appropriately are main measures in preventing and controlling of HI.

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Available abstract

Objective To analyse the factors associated with HI, to identify patients at high risk of getting HI, and to bring forth some prevention and controlling measures. Methods A 1∶1 matched case-control study was adopted. After univariate analysis was conducted for determining the variables associated with HI, a stepwise multiple-regression conditional Logistic model was developed to identify the potential independent factors associated with HI. Results Conditional Logistic regression analysis showed that the following candidates were independent risk factor. They were extreme age (OR=3.24), severity of illness (OR=1.54), cancer (OR=2.75), diabetes (OR=3.20), kidney disease (OR=4.53) and cerebral hemorrhage or infarction (OR=5.43), numbers of discharge diagnosis (OR=1.74), organ insufficiency (OR=4.11), over 2 times of invasive operation manipulation(OR=3.68), urinary catheter (OR=2.60), intravenous catheter (OR=5.06), over 10 days chemotherapy (OR=3.69), number of antibiotics prescribed (OR=1.38/kind). Hospitalization days before hospital infection (OR=0.987/d) showed no association with occurrence of hospital infection. Conclusion Protecting patients with high risk of HI, keeping with the regulation of disinfections and isolation, and complying with germfree procedure in clinical practice, using antibiotics appropriately are main measures in preventing and controlling of HI.

Key concepts: Medicine, Logistic regression, Stepwise regression, Univariate analysis, Conditional logistic regression, Risk factor, Internal medicine, Diabetes mellitus

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