title: Severe pneumonia in the elderly: a multivariate analysis of risk factors.
abstract: Pneumonia is the second leading reason for hospitalization of medicare beneficiaries. The mortality rate is high, especially in the elderly. In this study, we aimed to determine the risk factors associated with severe pneumonia in the elderly. Retrospective study was conducted and data of old patients with severe pneumonia were collected. They were divided into two groups: the experiment group (death group) and the control (living group). The general situation, underlying diseases, laboratory tests, types of etiology, imaging analysis and treatment situation of patients were analyzed and compared. Univariate analysis and logistic multivariate regression analysis were used to screen the related and independent risk factors for the diagnosis of severe pneumonia in the elderly. In univariate analysis, there were many factors had statistical significance including chronic kidney disease, electrolyte disturbance, low phosphorus and so on. Result of logistic multivariate regression analysis showed pro-BNP level and serum prealbumin were independent risk factors. In sputum culture, the relevance ratio of acinetobacter baumannii was the highest in gram negative bacteria followed by klebsiella pneumoniae. In gram positive bacteria, the relevance ratio of staphylococcus aureus was the highest. In conclusion, the analysis on risk factors for severe pneumonia has great clinical significance on improving the prognosis.
authors.affiliation: Department of Geriatric, The Tenth People's Hospital Affiliated to Tongji University China.
authors.forename: Wei
authors.initials: W
authors.lastname: Li
authors.affiliation: Department of Geriatric, The Tenth People's Hospital Affiliated to Tongji University China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Ding
authors.affiliation: Department of Respiratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China.
authors.forename: Shaojun
authors.initials: S
authors.lastname: Yin
keywords: Severe pneumonia; logistic multivariate regression analysis; prognosis; risk factors; single factor analysis