Suppr超能文献

实验室确诊的碳青霉烯不敏感革兰阴性菌尿路感染患者临床及经济负担的促成因素

Contributing Factors to the Clinical and Economic Burden of Patients with Laboratory-Confirmed Carbapenem-Nonsusceptible Gram-Negative Urinary Tract Infections.

作者信息

McCann Eilish, Sung Anita H, Ye Gang, Vankeepuram Latha, Tabak Ying P

机构信息

Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA.

Digital Health, Medical Affairs, Becton, Dickinson and Company, Franklin Lakes, NJ, USA.

出版信息

Clinicoecon Outcomes Res. 2020 Apr 8;12:191-200. doi: 10.2147/CEOR.S234840. eCollection 2020.

Abstract

PURPOSE

We explored patient- and hospital-level predictor variables for worse clinical and economic outcomes in carbapenem-nonsusceptible urinary tract infections (UTIs).

PATIENTS AND METHODS

We used electronic data (January 2013-September 2015; 78 US hospitals) from a large multicenter clinical database. Nonduplicate gram-negative isolates were considered carbapenem-nonsusceptible if they had resistant/intermediate susceptibility. Potential predictors of outcomes (mortality, 30-day readmissions, length of stay [LOS], hospital total cost, and net gain/loss per case) were examined using generalized linear mixed models. Significant predictors were identified based on statistical significance and model goodness-of-fit criteria.

RESULTS

A total of 1439 carbapenem-nonsusceptible urine cases were identified. The mortality rate was 5.5%; the hospital readmission rate was 25.0%. Mean (standard deviation [SD]) LOS, total cost, and loss per case were 12 (14) days, $21,502 ($37,172), and $5828 ($26,540), respectively. Hospital-onset (vs community-onset) infection significantly impacted all outcomes: mortality (odds ratio [OR], 2.21; 95% confidence interval [CI], 1.19-4.11; =.01), 30-day readmissions (OR, 2.35; 95% CI, 1.49-3.71; <.001), LOS (25.7 vs 10.2 days; <.001), hospital total cost ($67,810 vs $22,141; <.001), and loss per case (-$28,054 vs -$10,809; <.001). Mechanical ventilation/intensive care unit status, neoplasms, and other underlying diseases were also common predictors for worse outcomes overall; polymicrobial infection was significantly associated with worse economic outcomes. Other key predictors were >1 prior hospitalization for 30-day readmissions, high Acute Laboratory Risk of Mortality Score for mortality, LOS, cost, and hospital teaching status for cost.

CONCLUSION

Hospital-onset infections, polymicrobial infections, higher clinical severity, and underlying diseases are key predictors for worsened overall burden of carbapenem-nonsusceptible gram-negative UTIs.

摘要

目的

我们探讨了碳青霉烯类不敏感尿路感染(UTIs)患者及医院层面的预测变量,以了解其对更差临床和经济结局的影响。

患者与方法

我们使用了来自大型多中心临床数据库的电子数据(2013年1月 - 2015年9月;78家美国医院)。如果非重复革兰氏阴性分离株具有耐药性/中介敏感性,则被视为碳青霉烯类不敏感。使用广义线性混合模型检查结局(死亡率、30天再入院率、住院时间[LOS]、医院总成本以及每例病例的净收益/损失)的潜在预测因素。根据统计学显著性和模型拟合优度标准确定显著预测因素。

结果

共识别出1439例碳青霉烯类不敏感尿液病例。死亡率为5.5%;医院再入院率为25.0%。平均(标准差[SD])住院时间、总成本和每例病例的损失分别为12(14)天、21,502美元(37,172美元)和5828美元(26,540美元)。医院获得性感染(与社区获得性感染相比)对所有结局均有显著影响:死亡率(比值比[OR],2.21;95%置信区间[CI],1.19 - 4.11;P =.01)、30天再入院率(OR,2.35;95% CI,1.49 - 3.71;P <.001)!住院时间(25.7天对10.2天;P <.001)、医院总成本(67,810美元对22,141美元;P <.001)以及每例病例的损失( - 28,054美元对 - 10,809美元;P <.001)。机械通气/重症监护病房状态、肿瘤以及其他基础疾病也是总体结局较差的常见预测因素;多重微生物感染与更差的经济结局显著相关。其他关键预测因素包括30天再入院前曾住院>1次、死亡率、住院时间、成本的高急性实验室死亡风险评分以及成本的医院教学状态。

结论

医院获得性感染、多重微生物感染、更高的临床严重程度以及基础疾病是碳青霉烯类不敏感革兰氏阴性UTIs总体负担加重的关键预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc67/7152550/d7c987c7e281/CEOR-12-191-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验