Phenotype Phebruary Day 15 - Acute Myocardial Infarction (STEMI/NSTEMI/UA/Chronic Angina)

[Gowtham_Rao]

@Ajit_Londhe

but it does look like concept 45766114 (Subsequent ST segment elevation myocardial infarction) could be a candidate for exclusion as well. I am trying to see if this concept truly acts a “subsequent” event in our data.

@Ajit_Londhe and @ershanno do you have any additional insight on subsequent MI codes. From a pure semantic meaning - this would still be MI but

• if used for first time in persons history it might represent index date misclassification
• if used for cohort definitions where a person may be allowed to enter the cohort many times, it would be acceptable.

For example - i found this previous commentary on this topic Current ICD10 codes are insufficient to clearly distinguish acute myocardial infarction type: a descriptive study - PubMed

In ARES for the Truven CCAE datasource - i see for
Subsequent non-ST segment elevation myocardial infarction a pretty stable temporal pattern

There is decline in

Across the OHDSI network the counts are low for the subsequent code - but not insignificant

compared to the full set

Notice: the counts for old MI - they are pretty large compared to the subsequent codes

[Gowtham_Rao]

Evaluation of phenotypes for Acute Myocardial Infarction

Insights on sensitivity errors:

1. Cohort count diagnostic:

• Data sources without capture of inpatient care introduces missing data problem with sensitivity errors. This does not mean inpatient should be part of the cohort definition. It means that if we do a study on myocardial infarction in a data source with no inpatient capture - we may potentially miss about 50% of persons who had acute myocardial infarction. In datasources with inpatient visit data - inpatient concept was present in more than 50% suggesting substantial difference by cohort definition in same data source. About 20% of persons appear to be have MI without an inpatient stay. The rate is higher in JMDC compared to US datasources indicating a lower specificity in JMDC. Inference do not use datasources that do not capture inpatient data for this phenotype.
  
  

2. Incidence Rate - Notice: for this diagnostic i tend to remove extremes of age and strata’s that have low counts (< 50)

• Incidence rate diagnostics shows temporal stability in the age strata with higher cohort proportion. Inference all the cohort definitions are temporally stable.
• Incidence rate is higher among Males compared to Females in most strata. Inference This is in line with clinical description.
  
  

3. Index event breakdown

• Few codes account for majority of the persons entry criteria and vast majority have low or zero counts. This shows that we are less likely to have sensitivity errors because of missing codes. Inference: orphaned codes are less likely to impact sensitivity.
• Index Event Breakdown shows that when filtering to ICD10CM - usage of cods for NSTEMI/STEMI
  
  
  
  but filtering to ICD9CM does not have NSTEMI/STEMI
  
  
  
  Inference studies that need the NSTEMI/STEMI classification of MI maybe limited to 2016 onwards
• Non US datasource does not have NSTEM/STEMI codes, except CPRD Inference Although NSTEM/STEMI/ACS reflects contemporary definitions of Acute Myocardial Infarction - its not captured in source codes in many regions in the world.

4. Visit Context

• Inpatient visit is the most common visit that starts simultaneous with the cohort start date.
• Majority of persons in the cohort had an outpatient visit in the 30days after cohort start date. Inference persons experienced an event on index date that was associated with a subsequent care in the short term future (< 30 days)
  
  
• Majority of the persons were NOT experiencing an inpatient visit or ER visit in the period immediately prior to cohort start date. Inference: This suggests that in majority of persons the event of acute myocardial infarction is not part of a ongoing care episode - but potentially an event that started after an apparent period when no active care was sought.
  
  

5. Cohort Characterization:

• The vast majority of persons are coded with covariates expected to occur on Day 0 - Inference cohort definitions have good specificity.
  
  
• These covariate are higher for the cohort definition that requires inpatient admission - indicating that the specificity increases
  
  
  
  compare to lower specificity for the cohort that does not include inpatient admission
  
  
  
  Inference: This suggests that when we limit to persons who receive inpatient stay because that increases specificity. The loss in sensitivity may be upto 30%
• Covariates on day 0 - that are observed in atleast 10% of persons include EKG, stress test/imaging. Inference These covariates may be used to improve the specificity in a cohort definition that does not require inpatient stay. Build a cohort of persons who have myocardial infarction but do not have the following covariates on index date. This cohort may be expected to have lowest sensitivity. Research idea: Can we build a rubric to identify covariates that when present/not present change the performance characteristics of cohort.
  
  
• Below we see covariates that are related to myocardial infarction in the period immediately prior to index date. We observe the rates to be low for EKG and Angina related concepts. Even the broad chest pain concept has a rate of up to 10% inference suggesting the upper limit of index date misclassification to be less than 10%, but in reality its much lower.
  Use of EKG
  
  

Angina

Chest Pain

Next steps:

1. Consider for persons who are not admitted to the hospital with a diagnosis of acute myocardial infarction - requiring that they have markers of severe disease such as EKG and chest pain.

[Gowtham_Rao]

Evaluation of phenotypes for ST Elevation Myocardial Infarction

(reserved)

[Gowtham_Rao]

Evaluation of phenotypes for Non ST elevation Myocardial Infarction

(reserved)

[Gowtham_Rao]

Evaluation of phenotypes for Unstable Angina

(reserved)

[Gowtham_Rao]

Evaluation of phenotypes for Chronic Stable Angina

(reserved)

[Gowtham_Rao]

Evaluation of relationships between Acute MI/STEMI/NSTEMI/UA/Chronic Angina phenotypes

(reserved)

[Patrick_Ryan]

Thanks @Gowtham_Rao for this phenotype library submission. I plan to use this definition of AMI to create the nesting indication for Beta Blockers.

Comment as I’m going through that process, capturing for posterity: this definition will create multiple events for a given person if a person has disjoint days with a diagnosis code that falls within an inpatient stay. So, theoretically a person admitted for AMI (and getting diagnosis on admission date) and then staying for 3 days and getting a diagnosis at discharge, those would create 2 different cohort records under this definition. It may be that users of this phenotype may want to consider extending the cohort era collapse window to avoid counting follow-up diagnosis/visits as ‘new events’. @rmakadia had a nice poster at OHDSI Symposium a couple years ago that showed the impact of varying the cohort era on the number of events per person, which suggested that there could be a new useful diagnostic to look at the distribution of time between successive events. In my context of a nesting indication within my drug cohort, I don’t expect this issue will be material.