脓毒症ICU患者抗生素停用PCT算法成本效益数据集

数据集获取（Figshare）

• 源站标题：A PCT algorithm for discontinuation of antibiotic therapy is a cost-effective way to reduce antibiotic exposure in adult intensive care patients with sepsis
• DOI：10.6084/m9.figshare.1626657.v1
• 发布日期：2015-12-23
• 文件数：2 个
• 文件总体积：87.50 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/A_PCT_algorithm_for_discontinuation_of_antibiotic_therapy_is_a_cost_effective_way_to_reduce_antibiotic_exposure_in_adult_intensive_care_patients_with_sepsis/1626657

命令行下载

curl -L -o "ijme_a_1064934_sm1243.docx" "https://ndownloader.figshare.com/files/2611345"
curl -L -o "ijme_a_1064934_sm1214.docx" "https://ndownloader.figshare.com/files/2611346"

文件清单

• ijme_a_1064934_sm1243.docx（13.94 KB）
• ijme_a_1064934_sm1214.docx（73.56 KB）

文件总体积 87.50 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Objective:
Procalcitonin (PCT) is a specific marker for differentiating bacterial from non-infective causes of inflammation. It can be used to guide initiation and duration of antibiotic therapy in intensive care unit (ICU) patients with suspected sepsis, and might reduce the duration of hospital stay. Limiting antibiotic treatment duration is highly important because antibiotic over-use may cause patient harm, prolonged hospital stay, and resistance development. Several systematic reviews show that a PCT algorithm for antibiotic discontinuation is safe, but upfront investment required for PCT remains an important barrier against implementation. The current study investigates to what extent this PCT algorithm is a cost-effective use of scarce healthcare resources in ICU patients with sepsis compared to current practice.
Methods:
A decision tree was developed to estimate the health economic consequences of the PCT algorithm for antibiotic discontinuation from a Dutch hospital perspective. Input data were obtained from a systematic literature review. When necessary, additional information was gathered from open interviews with clinical chemists and intensivists. The primary effectiveness measure is defined as the number of antibiotic days, and cost-effectiveness is expressed as incremental costs per antibiotic day avoided.
Results:
The PCT algorithm for antibiotic discontinuation is expected to reduce hospital spending by circa €3503 per patient, indicating savings of 9.2%. Savings are mainly due to reductions in length of hospital stay, number of blood cultures performed, and, importantly, days on antibiotic therapy. Probabilistic and one-way sensitivity analyses showed the model outcome to be robust against changes in model inputs.
Conclusion:
Proven safe, a PCT algorithm for antibiotic discontinuation is a cost-effective means of reducing antibiotic exposure in adult ICU patients with sepsis, compared to current practice. Additional resources required for PCT are more than offset by downstream cost savings. This finding is highly important given the aim of preventing widespread antibiotic resistance.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.1626657.v1（source: https://tandf.figshare.com/articles/dataset/A_PCT_algorithm_for_discontinuation_of_antibiotic_therapy_is_a_cost_effective_way_to_reduce_antibiotic_exposure_in_adult_intensive_care_patients_with_sepsis/1626657）。