Detailed of the project
This project analyzed the pathway and the profile of the patients with have been a lung cancer. It purpose was to detect the characteristics of the desease which increase the risk of having a early death.
Lung cancer is the leading cause of death in France due to cancer. The 5-year survival rate after the lung cancer’s detection is only 20%.
As part of her medicine research master, Dr. Hélène Goussaut asked to Kaduceo to assist her in the detection of the aggravating factors of the desease, and so to identify patients with a high probability to have a early death.
Caractéristiques des données
Data came from the French Health System database (SNDS). Data used for this study provided medical information from patients which had a lung cancer detected between 2016 and 2018. Environmental data were added to enrich the database.
Solution provided by Kaduceo
To begin, Kaduceo identified and collected relevant tables from SNDS.
Then, Kaduceo cleaned and corrected the selected data, and it enriched them with environmental data. On this new dataset, we first made a descriptive analysis of the variables to detect aggraving factors. This analysis were also done on two subsets of the dataset to compare the pathway between patients which get a chimiotherapy with patients which get a lung surgery.
We finally created a statistical model to help doctors to predict patients with a high probability to have a early death.
Early death rates among lung cancer patients between 2016 and 2019 by department
Rate of lung cancer patients between 2016 and 2019 by department
We adopted a working method based on regulars exchanges and interactions between Kaduceo team and the doctor. It allowed us to have a better understanding of the doctor’s needs and to quickly solve possible blocking points.
- 3 months of collaboration
- + 1M reviews of medical records
- 1 speech of the SPLF congress in 2021
- 1 scientific paper is being written for submission to a journal
Results and limitations of the study
Generally, studies on lung cancer were only done on a single health etablihsment. This study which analysis all the french health care institutions allowed to highlights differences between this institutions and between the french departments.
Some variables as if the first hospital stay come from emergency, or if the cancer is increasing during the first 3 months, or the type of the etablishment had significant effect on 3 months survival rate.
Infortunately, usual important information such the tobacco or alcohol consumption or some chimiotherapy are under-represented in SNDS data. So that, statistical modeling are not accurate enough.
This study aims to analyze the causes of disruptions in pre-operative follow-up, identify the profiles of patients at risk and measure the economic impact of disruptions.
Following initial hospitalization, re-admissions for pulmonary pathologies are among the conditions that generate the most readmission and consequently lead to additional expenditure on social security.