Draft

162  Hypercapnia Poster

162.1 Summary

  • Non-Cognitive Predictors of Student Success:A Predictive Validity Comparison Between Domestic and International Students
  • The causes, prevalence, and consequences of hypercapnic respiratory failure are not well described. EHR data could help.
  • WHY? The gold-standard test (ABG showing PaCO2 > 45 mmHg) is unreliably obtained.
  • WHAT HAS BEEN DONE?
  • Prevalence ~ PE (150 per 100k/y)
  • Readmission ≥ CHF (23%, 30d)
  • Mortality ~ Cancer (~40% 1yr)
  • .
  • Yet, methods of identification select very different patients.
  • COMPUTABLE PHENOTYPE: (operational case definition)
    • Efficacy trial: homogeneity, severity important
    • Epi; QI: sensitivity, representativeness

162.2 Slide outline

162.2.1 Slide 1

  • Non-Cognitive Predictors of Student Success:A Predictive Validity Comparison Between Domestic and International Students
  • The causes, prevalence, and consequences of hypercapnic respiratory failure are not well described. EHR data could help.
  • WHY? The gold-standard test (ABG showing PaCO2 > 45 mmHg) is unreliably obtained.
  • WHAT HAS BEEN DONE?
  • Prevalence ~ PE (150 per 100k/y)
  • Readmission ≥ CHF (23%, 30d)
  • Mortality ~ Cancer (~40% 1yr)
  • .
  • Yet, methods of identification select very different patients.
  • COMPUTABLE PHENOTYPE: (operational case definition)
    • Efficacy trial: homogeneity, severity important
    • Epi; QI: sensitivity, representativeness
  • WHY IS THIS WORTH DOING?
  • Obesity, Opiates, Multimorbidity ↑
  • Common component causes? Unknown
  • Evidence: RCTs only of select subsets
  • Post-acute management?
  • Disorganized processes of care
  • Evidence needed to improve
  • Wayne Richards BS
  • Jeanette Brown MD PhD
  • Ram Gouripeddi MBBS MS
  • Krishna Sundar MD
  • PRESENTER:
  • Brian W Locke, MD
  • Ruth L. Kirschstein National Research Service Award 5T32HL105321
  • HOW CAN WE BETTER IDENTIFY PATIENTS WITH HYPERCAPNIA?
    1. Validate Traditional Data-Points
  • ABG
  • Group
  • ICD
  • NIV
  • Age
  • 62±18
  • 65±16
  • 62±17
  • % Female
  • 46%
  • 51%
  • 42%
  • % white
  • 66%
  • 71%
  • 65%
  • % Black
  • 18%
  • 19%
  • 17%
  • BMI
  • 30.4±8.3
  • 33.1±10.3
  • 29.1±8.2
  • % with CHF
  • 37%
  • 30%
  • % with COPD
  • 31%
  • 14%
  • % Opiate UD
  • 6%
  • 3%
  • % Sleep Apnea
  • 23%
  • 24%
  • 10%
  • 925,512 patients
  • 70 Healthcare organizations since 2017.
  • 20 gigabytes of data (billions of data points)
  • METHODS:
    1. Principal Component Analysis
    1. Propose and Evaluate Computable Phenotype(s)
  • Alzoubi et al. Electronics 2019 doi:10.3390/electronics8111235

162.3 Learning objectives

  • Non-Cognitive Predictors of Student Success:A Predictive Validity Comparison Between Domestic and International Students
  • The causes, prevalence, and consequences of hypercapnic respiratory failure are not well described. EHR data could help.
  • WHY? The gold-standard test (ABG showing PaCO2 > 45 mmHg) is unreliably obtained.
  • WHAT HAS BEEN DONE?
  • Prevalence ~ PE (150 per 100k/y)

162.4 Bottom line / summary

  • Non-Cognitive Predictors of Student Success:A Predictive Validity Comparison Between Domestic and International Students
  • The causes, prevalence, and consequences of hypercapnic respiratory failure are not well described. EHR data could help.
  • WHY? The gold-standard test (ABG showing PaCO2 > 45 mmHg) is unreliably obtained.
  • WHAT HAS BEEN DONE?
  • Prevalence ~ PE (150 per 100k/y)

162.5 Approach

  1. TODO: Outline the initial assessment or decision point.
  2. TODO: Outline the next diagnostic or management step.
  3. TODO: Outline follow-up or escalation criteria.

162.6 Red flags / when to escalate

  • TODO: List red flags that require urgent escalation.

162.7 Common pitfalls

  • TODO: Capture common errors or missed steps.

162.8 References

TODO: Add landmark references or guideline citations.

162.9 Slides and assets

162.10 Source materials