MIT-LCP / MIT-LCP/mimic-code

What is the specific TESTs of glucose? What is the control level of the glucose?

Open
#1,462 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
3.4k
Forks
1.7k
PR merge metrics
No merged PRs in 30d

Description

The measure
Description

This is a clinical knowledge. I am doing analysis on MIMIC-IV(2.0) dataset. What I have done is that

SELECT * FROM mimiciv_hosp.d_labitems where label like '%lucose%' and fluid='Blood'

The result is

50809	"Glucose"	"Blood"	"Blood Gas"
50931	"Glucose"	"Blood"	"Chemistry"
52027	"Glucose, Whole Blood"	"Blood"	"Blood Gas"
52569	"Glucose"	"Blood"	"Chemistry"

Then, I run

SELECT * FROM mimiciv_hosp.labevents WHERE ITEMID=50809 LIMIT 1000

I got the glucose value successfully.
Now, here is a question.
How do you GROUPING the glucose value?
There are several way to do blood glucose test(e.g. A1C Test, Fasting Blood Sugar Test, Glucose Tolerance Test, Random Blood Sugar Test ).
For different tests, we can see whether the patients get diabetes according to the following tabe.

Result* A1C Test Fasting Blood Sugar Test Glucose Tolerance Test Random Blood Sugar Test
Diabetes 6.5% or above 126mg//dL or above 200mg//dL or above 200mg//dL or above
Prediabetes 5.7-6.4% 100-125mg//dL 140-199mg//dL N//A
Normal Below 5.7% 99mg//dL or below 140mg//dL or below N//A

Of course, we can obtain information from the Diagnoses related forms (ICD-9, ICD-10).
I am now concerned about Glucose, and I hope to understand the test method and grouping method of this indicator (as shown in the table). For GLUCOSE, what interval is normal, what interval is prediabetes, and what interval is diabetes.
This test method and grouping method for my research, look forward to your reply.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the MIMIC documentation and the mimiciv_hosp.d_labitems and mimiciv_hosp.labevents tables referenced in the issue, then review the four glucose ITEMIDs and their specimen or measurement metadata. Done means documenting whether the dataset distinguishes these test methods and what supported grouping guidance can be given without inferring clinical thresholds.

Written by the indexing model from the issue text.

Assessment

Tech stack
sql
Domain
data, databases
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.