2020
DOI: 10.1007/s40615-020-00779-7
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Subgroup Variation and Neighborhood Social Gradients—an Analysis of Hypertension and Diabetes Among Asian Patients (New York City, 2014–2017)

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Cited by 13 publications
(8 citation statements)
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“…Asians experience overweight and obesity at lower BMI values than individuals of other racial groups, resulting in a higher prevalence of these conditions than expected. 21 Additionally, South Asians have high rates of diabetes and hypertension that are comparable to those observed among Black and Hispanic individuals, and they have a disproportionate burden of morbidity and mortality from cardiovascular disease. These factors are known to put individuals at elevated risk of COVID-19 infection, hospitalization, and death, and they are highly prevalent among many Asian Americans.…”
Section: Discussionmentioning
confidence: 99%
“…Asians experience overweight and obesity at lower BMI values than individuals of other racial groups, resulting in a higher prevalence of these conditions than expected. 21 Additionally, South Asians have high rates of diabetes and hypertension that are comparable to those observed among Black and Hispanic individuals, and they have a disproportionate burden of morbidity and mortality from cardiovascular disease. These factors are known to put individuals at elevated risk of COVID-19 infection, hospitalization, and death, and they are highly prevalent among many Asian Americans.…”
Section: Discussionmentioning
confidence: 99%
“…Rule-based algorithms developed for EHR were used to define diabetes and hypertension, as fully described elsewhere [ 11 , 12 ]. Briefly, burden estimates were defined by combining: ICD-9-CM and ICD-10-CM diagnostic codes, lab results or vitals, or relevant medications (Additional file 1 : Table S1).…”
Section: Methodsmentioning
confidence: 99%
“…Selection bias is another key limitation of our analyses. Prior work has demonstrated the study sample is more economically privileged compared to NYC as a whole due to the nature of the NYU patient population (10), and the patient population at Emory is also a selected sample. Several other limitations of using EHR data in clinical research have been previously noted,(27-29) such as differences in procedures for documenting care across systems that could contribute to systematic differences in disease estimates across sites.…”
Section: Discussionmentioning
confidence: 99%
“…Rule-based algorithms developed for EHR were used to de ne diabetes and hypertension, as fully described elsewhere. (10,11) Brie y, burden estimates were de ned by combining: ICD-9-CM and ICD-10-CM diagnostic codes, lab results or vitals, or relevant medications (Supplemental le 1). Biologically implausible measurements for vitals and labs, such as systolic BP outside the range of 140-250 mmHg or diastolic BP outside the range of 90-150 mmHg, were excluded from these algorithms.…”
Section: Metric De Nitionsmentioning
confidence: 99%