Assessment of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) Code Assignment Validity for Case Finding of Medication-related Hypoglycemia Acute Care Visits Among Medicare Beneficiaries.

OBJECTIVE: Administrative claims are commonly relied upon to identify hypoglycemia. We assessed validity of 14 International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code assignments to identify medication-related hypoglycemia leading to acute care encounters. RESEARCH DESIGN AND METHODS: A multisite, retrospective medical record review study was conducted in a sample of Medicare beneficiaries prescribed outpatient diabetes medications and who received hospital care between January 1, 2016 and September 30, 2017. Diagnosis codes were validated with structured medical record review using prespecified criteria (clinical presentation, blood glucose values, and treatments for hypoglycemia). Sensitivity, specificity, and positive and negative predictive value (PPV, NPV) were calculated and adjusted using sampling weights to correct for partial verification bias. RESULTS: Among 990 encounters (496 cases, 494 controls), hypoglycemia codes demonstrated moderate PPV (69.2%; 95% confidence interval: 65.0-73.0) and moderate sensitivity (83.9%; 95% confidence interval: 70.0-95.5). Codes performed better at identifying hypoglycemic events among emergency department/observation encounters compared with hospitalizations (PPV 92.9%, sensitivity 100.0% vs. PPV 53.7%, sensitivity 71.0%). Accuracy varied by diagnosis position, especially for hospitalizations, with PPV of 95.6% versus 46.5% with hypoglycemia in primary versus secondary positions. Use of adverse event/poisoning codes did not improve accuracy; reliance on these codes alone would have missed 97% of true hypoglycemic events. CONCLUSIONS: Accuracy of International Classification of Diseases, Tenth Revision codes in administrative claims to identify medication-related hypoglycemia varied substantially by encounter type and diagnosis position. Consideration should be given to the trade-off between PPV and sensitivity when selecting codes, encounter types, and diagnosis positions to identify hypoglycemia.

Usefulness of the American Heart Association's Ideal Cardiovascular Health Measure to Predict Long-term Major Adverse Cardiovascular Events (From the Heart SCORE Study).

To further reduce the burden of cardiovascular disease (CVD) and expand prevention efforts, the American Heart Association (AHA) introduced in 2010 the concept of Ideal Cardiovascular Health (ICH), which includes 7 metrics (smoking status, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting plasma glucose). Limited data exist on the relation between ICH and long-term CVD risk. The Heart Strategies Concentrating on Risk Evaluation (Heart SCORE) study cohort was used to examine the relation between ICH and incident major adverse cardiovascular events (MACE: first occurrence of death, myocardial infarction, stroke, acute ischemic syndrome, or coronary revascularization). The 7 factors of the ICH were scored at study entry on a 0 to 2 scale, resulting in possible range of 0 to 14, with higher scores representing "better" health. Cox regression analyses were used to estimate hazard ratios (HR) of MACE, along with 95% confidence intervals. Over a median follow-up of 12 years, the study population (n = 1,863, 67% women, 42% Black race, mean age 59 years [range 45 to 75]) had 218 MACE. In unadjusted analysis, the ICH score (per 1 unit) was associated with an estimated 12% lower risk of MACE (HR [95% Confidence Interval]: 0.88 [0.82, 0.93]). Adjusting for demographics, education, and quality of life, ICH score was associated with a 10% lower risk of MACE (HR 0.90 [0.84, 0.96]). In a community-based sample of adults, the AHA ICH construct, which includes 7 modifiable CVD risk factors, appears to be a valid measure for predicting long-term risk of MACE.