Zhao Chuwen, Zheng Yunwei, Hang Yaping, Chen Yanhui, Liu Yanhua, Zhu Junqi, Fang Youling, Xiong Jianqiu, Hu Longhua
Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China.
School of Public Health, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Int J Gen Med. 2023 Dec 28;16:6163-6176. doi: 10.2147/IJGM.S447354. eCollection 2023.
OBJECTIVE: and are prevalent Gram-negative microorganisms responsible for pneumonia, as well as the primary pathogens causing bacteremic pneumonia. The objective of this research is to analyze the risk factors associated with bacteremic pneumonia caused by these pathogens and develop a predictive model. PATIENTS AND METHODS: This retrospective investigation encompassed a cohort of 252 patients diagnosed with or -induced bacteremic pneumonia between 2018 and 2022. The primary endpoint was 30-day mortality, which was analyzed using multifactorial logistic regression, nomogram construction, and Bootstrap validation. RESULTS: Among the 252 patients diagnosed with and , 65 succumbed to the disease while 187 survived. The overall 30-day mortality was found to be 25.8%. A multifactorial logistic regression analysis revealed that diastolic blood pressure, cerebrovascular diseases/transient ischemic attacks (TIA), immunosuppression, blood urea nitrogen, Pitt score, and CURB-65 score were statistically significant factors. The Nomogram model demonstrated an AUC of 0.954, which closely aligns with the Bootstrap-derived mean AUC of 0.953 (95% CI: 0.952-0.954). CONCLUSION: In patients with bacteremic pneumonia caused by and , Low diastolic blood pressure (≤61 mmHg), pre-existing cerebrovascular disease/ transient ischemic attacks (TIA), immunosuppression status, elevated blood urea nitrogen levels (≥8.39 mmol/L), high Pitt score (≥3), and a high CURB-65 score (≥2) are all independent risk factors for and bacteremic pneumonia, among which the first three warrant particular attention.
目的:[病原体名称1]和[病原体名称2]是引起肺炎的常见革兰氏阴性微生物,也是导致菌血症性肺炎的主要病原体。本研究的目的是分析与这些病原体引起的菌血症性肺炎相关的危险因素,并建立一个预测模型。 患者与方法:这项回顾性调查纳入了2018年至2022年间被诊断为[病原体名称1]或[病原体名称2]所致菌血症性肺炎的252例患者队列。主要终点是30天死亡率,采用多因素逻辑回归、列线图构建和Bootstrap验证进行分析。 结果:在252例被诊断为[病原体名称1]和[病原体名称2]的患者中,65例死亡,187例存活。总体30天死亡率为25.8%。多因素逻辑回归分析显示,舒张压、脑血管疾病/短暂性脑缺血发作(TIA)、免疫抑制、血尿素氮、Pitt评分和CURB-65评分是具有统计学意义的因素。列线图模型的AUC为0.954,与Bootstrap得出的平均AUC 0.953(95%CI:0.952 - 0.954)密切相符。 结论:在由[病原体名称1]和[病原体名称2]引起的菌血症性肺炎患者中,低舒张压(≤61 mmHg)、既往脑血管疾病/短暂性脑缺血发作(TIA)、免疫抑制状态、血尿素氮水平升高(≥8.39 mmol/L)、高Pitt评分(≥3)和高CURB-65评分(≥2)都是[病原体名称1]和[病原体名称2]菌血症性肺炎的独立危险因素,其中前三项尤其值得关注。
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