Journal of cardiology · 2024
Using electronic medical records to identify patients at risk for underlying cardiac amyloidosis.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Pascoe Michael A, Kolodziej Andrew, Birks Emma J, Vaidya Gaurang
Аннотация
BACKGROUND: Identification of transthyretin cardiac amyloidosis (ATTR-CA) patients is largely based on pattern recognition by providers, and this can be automated through electronic medical systems (EMR).
METHODS: All patients in a large academic hospital with age > 60, ICD-10 code for chronic diastolic heart failure and no previous diagnosis of any amyloidosis were included. An Epic EMR scoring logic assigned risk scores to patients for ICD-10 and CPT codes associated with ATTR-CA, as follows: carpal tunnel syndrome (score 5), aortic stenosis/TAVR (5), neuropathy (4), bundle branch block (4), etc. The individual patients' scores were added, and patients were arranged in descending order of total scores- ranging from 50 to 0. Data is reported as median (interquartile range) and analyzed with non-parametric tests.
RESULTS: Of the total 11,648 patients identified, 132 consecutive patients with highest risk scores (score ≥ 30) were enrolled as cases, while 132 patients with scores between 10 and 19 with available echocardiography data served as age-matched controls. Strain echocardiography is not routinely performed. Patients with high scores were more likely to have CA associated findings- African-American race, higher left ventricular (LV) mass index and left atrial volume and lower LV ejection fraction. High score patients had higher troponin and a trend towards high NT-proBNP.
CONCLUSION: The modern EMR can be used to flag patients with high risk for ATTR-CA (score ≥ 30 using the proposed logic) through best practice advisory. This could encourage screening during echocardiography using strain or during unsuspected clinic visits.
METHODS: All patients in a large academic hospital with age > 60, ICD-10 code for chronic diastolic heart failure and no previous diagnosis of any amyloidosis were included. An Epic EMR scoring logic assigned risk scores to patients for ICD-10 and CPT codes associated with ATTR-CA, as follows: carpal tunnel syndrome (score 5), aortic stenosis/TAVR (5), neuropathy (4), bundle branch block (4), etc. The individual patients' scores were added, and patients were arranged in descending order of total scores- ranging from 50 to 0. Data is reported as median (interquartile range) and analyzed with non-parametric tests.
RESULTS: Of the total 11,648 patients identified, 132 consecutive patients with highest risk scores (score ≥ 30) were enrolled as cases, while 132 patients with scores between 10 and 19 with available echocardiography data served as age-matched controls. Strain echocardiography is not routinely performed. Patients with high scores were more likely to have CA associated findings- African-American race, higher left ventricular (LV) mass index and left atrial volume and lower LV ejection fraction. High score patients had higher troponin and a trend towards high NT-proBNP.
CONCLUSION: The modern EMR can be used to flag patients with high risk for ATTR-CA (score ≥ 30 using the proposed logic) through best practice advisory. This could encourage screening during echocardiography using strain or during unsuspected clinic visits.