1. Nirav Shah (Michigan Medicine) For AKI-01 we exclude patients where
there is no baseline creatinine available. Agree there is a lot of room for
research of AKI in pre-eclampsia patients. Contact the Coordinating
Center if interested in this.
v. Brandon Togioka (Oregon Health Science University) – Concerns comparing
performance across institutions; dependent on patient populations which are all
treated very differently - especially midwife patients which rarely have preop
labs drawn. Primarily would be including high-risk patients and wouldn’t
accurately reflect practice across the entire institution.
1. Nirav Shah (Michigan Medicine) We perform risk adjustment for our AKI
measure; not 100% accurate. Primary purpose of this measure is case
review at the institution level – less so to provide feedback to individual
providers. For benchmarking it is tough to make generalizations
especially at a subspecialty level. Excluding pre-eclampsia patients from
AKI-01 will not make a major difference in the overall performance
score. MPOG bias is to include them. If we decide to do research or QI,
it does make sense to be able to notice when those patients have AKI
whether or not we expect it.
vi. Angel Martino (Sparrow Health System) – Is it possible to look at pre-eclampsia
patients with severe features vs. pre-eclampsia patients without severe
features? There is a qualifier in Epic documentation for this at Sparrow.
1. Nirav Shah (Michigan Medicine) ICD 9/10 code could also be a
possibility
2. Arvind Palanisamy (Washington University) – It was mandated that
academic institutions document severe features starting in 2019. Most
sites should have this data. Criteria remains the same for pre-eclampsia
w/severe features and ‘severe pre-eclampsia’. Removed mild/moderate
pre-eclampsia from definition to prevent the interpretation that pre-
eclampsia was on a continuum. There now exists ‘pre-eclampsia’ which
is simply BP>140/90 without other symptoms and ‘pre-eclampsia with
severe features’ which is hypertension + additional symptoms
(headache, kidney injury, vision changes, impaired liver function, etc.)
vii. Joshua Younger (Henry Ford Detroit) We could also look at patients who receive
magnesium. Not guaranteed to have severe features
viii. Final conclusion: Exclude patients from AKI 01 who have pre-eclampsia with
severe features using ICD-10 codes (O14.1%)
7. ABX 01-OB: Antibiotic Timing for Cesarean Delivery Performance Review
a. First MPOG OB measure released 7/15/20!
i. Variation across institutions for this measure: Outlier low performing sites may
be due to documentation/data extract rather than reflective of actual practice.
Some sites do not consistently document procedure start for cesarean deliveries
or document their antibiotics as note rather than on the MAR. Both of these
scenarios result in flagged cases and lower performance on the dashboard. This
measure is specifically looking at antibiotic timing and includes the most
common antibiotics administered for cesarean delivery. See specification for
more details.
ii. Encourage all members of the committee to log into the ASPIRE dashboard to
examine performance and cases for their own institution. If access is needed,
contact Coordinating Center.
b. Dan Biggs (University of Oklahoma) How many people are giving Azithromycin for C-
sections?
i. Arvind Palanisamy (Washington University) – Azithromycin paper came from
Wash U so this institution may be an outlier as compliance is 100%