Systematic validation of the CALIBER EHR-derived phenotypes for HF, AMI, and bleeding across 6 approaches of evidence: cross-EHR concordance, case-note review, etiology, prognosis, genetic associations, and external populations
Validation domain . | Description . | What has been done . | ||
---|---|---|---|---|
. | . | HF . | AMI . | Bleeding . |
Cross-EHR source concordance | To what extent is the phenotype concordant across EHR sources? | The proportion of HF cases recorded in primary care and hospital care EHR was 27%31 | The proportion of nonfatal AMI defined across primary care, hospital care, and disease registry was 32%29 | The proportion of bleeding events recorded in primary care and hospital care was 12%, with 47% of bleeding events recorded only in primary care and 12% only in hospital care |
Case-note review | What is the PPV and the NPV when comparing the algorithm with clinician review of case notes or “gold standard” source of information? | Compared with AMI defined in the disease registry, the PPV of AMI recorded in primary care was 92.2% (95% CI, 91.6%-92.8%) and in hospital admissions was 91.5% (95% CI, 90.8%-92.1%)29 | Compared through independent review by 2 clinicians, the PPV of bleeding events identified through the phenotyping algorithm was 0.88 | |
Etiology | Are the prospective associations with risk actors consistent with previous evidence? | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44,AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 sex92 | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44 AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 influenza infection,93 ischemic presentations,94 sex92 | At 5 y, 29.1% (95% CI, 28.2%-29.9%) of atrial fibrillation patients, 21.9% (95% CI, 21.2%-22.5%) of myocardial infarction patients, 25.3% (95% CI, 24.2%-26.3%) of unstable angina patients and 23.4% (95% CI, 23.0%-23.8%) of stable angina had bleeding of any kind |
Prognosis | Are the risks of subsequent events plausible? | Corrected for age and sex, HF was strongly associated with mortality, with HRs for all‐cause mortality ranging from 7.01 (95% CI, 6.83-7.20) to 7.23 (95% CI, 7.03-7.43), and up to 15.38 (95% CI, 15.02-15.83) for patients in primary care with acute HF hospitalization, primary care only, and patients hospitalized but no primary care record31 |
| The HR for all-cause mortality was 1.98 (95% CI, 1.86-2.11) for primary care bleeding with markers of severity, and 1.99 (95% CI, 1.92-2.05) for hospitalized bleeding without markers of severity, compared with patients with no bleeding |
Genetic associations | Are the observed genetic associations plausible and concordance with previous evidence? | Consistent direction and magnitude of associations were replicated in 67 (97%) of previously reported genetic variants4 | ||
External populations | Has the algorithm been tested (in any of the previous validation domains) in different countries? | We observed high 3-y crude cumulative risks of all-cause death (from 19.6% [England] to 30.2% [United States]); the composite of AMI, stroke, or death (from 26.0% [France] to 36.2% [United States]); and hospitalized bleeding (from 3.1% [France] to 5.3% [United States])64 |
Validation domain . | Description . | What has been done . | ||
---|---|---|---|---|
. | . | HF . | AMI . | Bleeding . |
Cross-EHR source concordance | To what extent is the phenotype concordant across EHR sources? | The proportion of HF cases recorded in primary care and hospital care EHR was 27%31 | The proportion of nonfatal AMI defined across primary care, hospital care, and disease registry was 32%29 | The proportion of bleeding events recorded in primary care and hospital care was 12%, with 47% of bleeding events recorded only in primary care and 12% only in hospital care |
Case-note review | What is the PPV and the NPV when comparing the algorithm with clinician review of case notes or “gold standard” source of information? | Compared with AMI defined in the disease registry, the PPV of AMI recorded in primary care was 92.2% (95% CI, 91.6%-92.8%) and in hospital admissions was 91.5% (95% CI, 90.8%-92.1%)29 | Compared through independent review by 2 clinicians, the PPV of bleeding events identified through the phenotyping algorithm was 0.88 | |
Etiology | Are the prospective associations with risk actors consistent with previous evidence? | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44,AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 sex92 | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44 AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 influenza infection,93 ischemic presentations,94 sex92 | At 5 y, 29.1% (95% CI, 28.2%-29.9%) of atrial fibrillation patients, 21.9% (95% CI, 21.2%-22.5%) of myocardial infarction patients, 25.3% (95% CI, 24.2%-26.3%) of unstable angina patients and 23.4% (95% CI, 23.0%-23.8%) of stable angina had bleeding of any kind |
Prognosis | Are the risks of subsequent events plausible? | Corrected for age and sex, HF was strongly associated with mortality, with HRs for all‐cause mortality ranging from 7.01 (95% CI, 6.83-7.20) to 7.23 (95% CI, 7.03-7.43), and up to 15.38 (95% CI, 15.02-15.83) for patients in primary care with acute HF hospitalization, primary care only, and patients hospitalized but no primary care record31 |
| The HR for all-cause mortality was 1.98 (95% CI, 1.86-2.11) for primary care bleeding with markers of severity, and 1.99 (95% CI, 1.92-2.05) for hospitalized bleeding without markers of severity, compared with patients with no bleeding |
Genetic associations | Are the observed genetic associations plausible and concordance with previous evidence? | Consistent direction and magnitude of associations were replicated in 67 (97%) of previously reported genetic variants4 | ||
External populations | Has the algorithm been tested (in any of the previous validation domains) in different countries? | We observed high 3-y crude cumulative risks of all-cause death (from 19.6% [England] to 30.2% [United States]); the composite of AMI, stroke, or death (from 26.0% [France] to 36.2% [United States]); and hospitalized bleeding (from 3.1% [France] to 5.3% [United States])64 |
AMI: acute myocardial infarction; CI: confidence interval; EHR: electronic health record; HF: heart failure; HR: hazard ratio; NPV: negative predictive value; PPV: positive predictive value.
Systematic validation of the CALIBER EHR-derived phenotypes for HF, AMI, and bleeding across 6 approaches of evidence: cross-EHR concordance, case-note review, etiology, prognosis, genetic associations, and external populations
Validation domain . | Description . | What has been done . | ||
---|---|---|---|---|
. | . | HF . | AMI . | Bleeding . |
Cross-EHR source concordance | To what extent is the phenotype concordant across EHR sources? | The proportion of HF cases recorded in primary care and hospital care EHR was 27%31 | The proportion of nonfatal AMI defined across primary care, hospital care, and disease registry was 32%29 | The proportion of bleeding events recorded in primary care and hospital care was 12%, with 47% of bleeding events recorded only in primary care and 12% only in hospital care |
Case-note review | What is the PPV and the NPV when comparing the algorithm with clinician review of case notes or “gold standard” source of information? | Compared with AMI defined in the disease registry, the PPV of AMI recorded in primary care was 92.2% (95% CI, 91.6%-92.8%) and in hospital admissions was 91.5% (95% CI, 90.8%-92.1%)29 | Compared through independent review by 2 clinicians, the PPV of bleeding events identified through the phenotyping algorithm was 0.88 | |
Etiology | Are the prospective associations with risk actors consistent with previous evidence? | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44,AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 sex92 | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44 AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 influenza infection,93 ischemic presentations,94 sex92 | At 5 y, 29.1% (95% CI, 28.2%-29.9%) of atrial fibrillation patients, 21.9% (95% CI, 21.2%-22.5%) of myocardial infarction patients, 25.3% (95% CI, 24.2%-26.3%) of unstable angina patients and 23.4% (95% CI, 23.0%-23.8%) of stable angina had bleeding of any kind |
Prognosis | Are the risks of subsequent events plausible? | Corrected for age and sex, HF was strongly associated with mortality, with HRs for all‐cause mortality ranging from 7.01 (95% CI, 6.83-7.20) to 7.23 (95% CI, 7.03-7.43), and up to 15.38 (95% CI, 15.02-15.83) for patients in primary care with acute HF hospitalization, primary care only, and patients hospitalized but no primary care record31 |
| The HR for all-cause mortality was 1.98 (95% CI, 1.86-2.11) for primary care bleeding with markers of severity, and 1.99 (95% CI, 1.92-2.05) for hospitalized bleeding without markers of severity, compared with patients with no bleeding |
Genetic associations | Are the observed genetic associations plausible and concordance with previous evidence? | Consistent direction and magnitude of associations were replicated in 67 (97%) of previously reported genetic variants4 | ||
External populations | Has the algorithm been tested (in any of the previous validation domains) in different countries? | We observed high 3-y crude cumulative risks of all-cause death (from 19.6% [England] to 30.2% [United States]); the composite of AMI, stroke, or death (from 26.0% [France] to 36.2% [United States]); and hospitalized bleeding (from 3.1% [France] to 5.3% [United States])64 |
Validation domain . | Description . | What has been done . | ||
---|---|---|---|---|
. | . | HF . | AMI . | Bleeding . |
Cross-EHR source concordance | To what extent is the phenotype concordant across EHR sources? | The proportion of HF cases recorded in primary care and hospital care EHR was 27%31 | The proportion of nonfatal AMI defined across primary care, hospital care, and disease registry was 32%29 | The proportion of bleeding events recorded in primary care and hospital care was 12%, with 47% of bleeding events recorded only in primary care and 12% only in hospital care |
Case-note review | What is the PPV and the NPV when comparing the algorithm with clinician review of case notes or “gold standard” source of information? | Compared with AMI defined in the disease registry, the PPV of AMI recorded in primary care was 92.2% (95% CI, 91.6%-92.8%) and in hospital admissions was 91.5% (95% CI, 90.8%-92.1%)29 | Compared through independent review by 2 clinicians, the PPV of bleeding events identified through the phenotyping algorithm was 0.88 | |
Etiology | Are the prospective associations with risk actors consistent with previous evidence? | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44,AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 sex92 | Type 2 diabetes,84 systolic/diastolic blood pressure,32 heart rate,85 socioeconomic deprivation,86 alcohol consumption,87 smoking,88 ethnicity,44 AMI,29 depression,89 neutrophil counts,90 eosinophil/lymphocyte counts,91 atrial fibrillation,30 influenza infection,93 ischemic presentations,94 sex92 | At 5 y, 29.1% (95% CI, 28.2%-29.9%) of atrial fibrillation patients, 21.9% (95% CI, 21.2%-22.5%) of myocardial infarction patients, 25.3% (95% CI, 24.2%-26.3%) of unstable angina patients and 23.4% (95% CI, 23.0%-23.8%) of stable angina had bleeding of any kind |
Prognosis | Are the risks of subsequent events plausible? | Corrected for age and sex, HF was strongly associated with mortality, with HRs for all‐cause mortality ranging from 7.01 (95% CI, 6.83-7.20) to 7.23 (95% CI, 7.03-7.43), and up to 15.38 (95% CI, 15.02-15.83) for patients in primary care with acute HF hospitalization, primary care only, and patients hospitalized but no primary care record31 |
| The HR for all-cause mortality was 1.98 (95% CI, 1.86-2.11) for primary care bleeding with markers of severity, and 1.99 (95% CI, 1.92-2.05) for hospitalized bleeding without markers of severity, compared with patients with no bleeding |
Genetic associations | Are the observed genetic associations plausible and concordance with previous evidence? | Consistent direction and magnitude of associations were replicated in 67 (97%) of previously reported genetic variants4 | ||
External populations | Has the algorithm been tested (in any of the previous validation domains) in different countries? | We observed high 3-y crude cumulative risks of all-cause death (from 19.6% [England] to 30.2% [United States]); the composite of AMI, stroke, or death (from 26.0% [France] to 36.2% [United States]); and hospitalized bleeding (from 3.1% [France] to 5.3% [United States])64 |
AMI: acute myocardial infarction; CI: confidence interval; EHR: electronic health record; HF: heart failure; HR: hazard ratio; NPV: negative predictive value; PPV: positive predictive value.
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