Evidence map›Paper›PMID 39726684›Full record

ArticleFrontiers in medicine2024

Impact of vancomycin therapeutic drug monitoring on mortality in sepsis patients across different age groups: a propensity score-matched retrospective cohort study.

Huaidong Peng, Ruichang Zhang, Shuangwu Zhou, Tingting Xu, Ruolun Wang, Qilin Yang, Xunlong Zhong, Xiaorui Liu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huaidong Peng *Department of Pharmacy, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Ruichang Zhang *Department of Critical Care, Guangzhou Twelfth People' Hospital, Guangzhou, China.
Shuangwu Zhou *The Second School of Clinical Medicine, Guangzhou Medical University, Guangzhou, China.
Tingting XuSchool of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, China.
Ruolun WangDepartment of Pharmacy, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Qilin YangDepartment of Critical Care, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xunlong ZhongDepartment of Pharmacy, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaorui LiuDepartment of Pharmacy, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to its potent antibacterial activity, vancomycin is widely used in the treatment of sepsis. Therapeutic drug monitoring (TDM) can optimize personalized vancomycin dosing regimens, enhancing therapeutic efficacy and minimizing nephrotoxic risk, thereby potentially improving patient outcomes. However, it remains uncertain whether TDM affects the mortality rate among sepsis patients or whether age plays a role in this outcome. Methods: We analyzed data from the Medical Information Mart of Intensive Care-IV database, focusing on sepsis patients who were admitted to the intensive care unit (ICU) and treated with vancomycin. The primary variable of interest was the use of vancomycin TDM during the ICU stay. The primary outcome was 30-day mortality. To control for potential confounding factors and evaluate associations, we used Cox proportional hazards regression and propensity score matching (PSM). Subgroup and sensitivity analyses were performed to assess the robustness of our findings. Furthermore, restricted cubic spline models were utilized to investigate the relationship between age and mortality among different groups of sepsis patients, to identify potential non-linear associations. Results: A total of 14,053 sepsis patients met the study criteria, of whom 6,826 received at least one TDM during their ICU stay. After PSM, analysis of 4,329 matched pairs revealed a significantly lower 30-day mortality in the TDM group compared with the non-TDM group (23.3% vs.27.7%, Conclusion: Vancomycin TDM is associated with reduced 30-day mortality in sepsis patients, with the most significant benefit observed in patients aged 18-50. This age group exhibited the lowest mortality rates and experienced the greatest reduction in mortality following TDM compared with older patients.

Indexed as

agemortalitysepsistherapeutic drug monitoringvancomycin

Identifiers

PMID39726684
PMCPMC11669523

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.