NSRR staff
Boston, MA
0000-0002-0506-8368
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I agree, this is confusing. Our recommendation is to ignore events scored in wake. These were intended to be deleted/removed (since they are extraneous) during the scoring process, but may have been missed (particularly in older studies such as SHHS).
Thanks for using the site!
From my variable search above (https://sleepdata.org/datasets/mros/variables?search=insomnia), I find this variable in MrOS: https://sleepdata.org/datasets/mros/variables/slinsomn
The slinsomn variable exists in the mros-visit1-dataset-0.6.0.csv file. Filtering to values of 1 gives me 46 records (matches graph on page linked above). Then I can look at the nsrrid column to see the IDs for these 46 subjects.
The 9 value indicates "Active", which could be recoded to wake. Thanks for using the site!
Yes, there are PSG recordings among insomnia subjects.
Once you gain access to a dataset, e.g. SHHS, you would download the CSV dataset files from here: https://sleepdata.org/datasets/shhs/files/datasets
The dataset has a subject identifier field, nsrrid. Identify subjects with insomnia based on the variable searches I suggested in my prior post. Let's say that subject 1234567 was marked as having been told by a doctor that he/she had insomnia.
The EDF and scoring/staging annotation files for each dataset contain the subject identifer (e.g. 1234567 in this case). For SHHS Visit 1 the EDF signal files live here: https://sleepdata.org/datasets/shhs/files/polysomnography/edfs/shhs1
Thanks for checking out the site. I recommend searching through the variables in your datasets of interest. Many datasets have insomnia-related variables that would assist in identifying subjects with previous diagnoses, symptoms, taking related medications, etc.
Here are searches in SHHS and MrOS:
https://sleepdata.org/datasets/shhs/variables?search=insomnia
https://sleepdata.org/datasets/mros/variables?search=insomnia
Best of luck!
Hey Kevin - I'm going to ask another member of the NSRR team to reach out to you by email. Thanks!
What MESA ID is the screenshot from? Do you see this across all MESA IDs?
Thanks for checking out the site. The records were scored by trained sleep clinic staff members. Someone emailed with a similar question recently. Here's my response:
Thanks for using the site. Yes, the STAGES PSGs were manually scored. The CSV annotation files include sleep staging.
The MOP (https://sleepdata.org/datasets/stages/files/documentation/STAGES%20MOP%202018-08-09.pdf) contains this bit:
The PSGs were conducted using each site’s clinic protocols, and I assume likewise for the subsequent scoring. We didn’t receive detailed information about the sleep centers or scoring staff, but my presumption is that all the sleep centers were AASM-accredited.
Best,
Mike
I don't recall any of our datasets having ECG sampling frequencies above 256 (e.g., CFS, MESA). Thanks for checking out the site!
Thanks for checking out the site. It doesn't look like the staging for the IS-RC cohort (70 PSGs scored by 6 scorers) were shared with us originally. I see that the staging files were made available in the public Stanford Box share here: https://stanfordmedicine.app.box.com/s/r9e92ygq0erf7hn5re6j51aaggf50jly/folder/53209541138
Hey JaHyungKoo - thanks for checking out the site and asking all these questions.
We have many different AHI-like variables. These are mostly continuous metrics (# of events per hour) and it is up to the user to convert them into a categorical breakdown like 0-5, 5-15, 15-30, 30+. One of the most "general" AHI-metrics we have is this harmonized term - https://sleepdata.org/datasets/shhs/variables/nsrr_ahi_hp3r_aasm15
Yes, I suggest you create your own categorical indicator from one of the continuous AHI variables.
Yes, in this instance, "Not applicable" will also mean "No" for ahiov50.
Thanks!