Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Chi GC[original query] |
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Trends in acute myocardial infarction by race and ethnicity
Chi GC , Kanter MH , Li BH , Qian L , Reading SR , Harrison TN , Jacobsen SJ , Scott RD , Cavendish JJ , Lawrence JM , Tartof SY , Reynolds K . J Am Heart Assoc 2020 9 (5) e013542 Background Trends in acute myocardial infarction (AMI) incidence rates for diverse races/ethnicities are largely unknown, presenting barriers to understanding the role of race/ethnicity in AMI occurrence. Methods and Results We identified AMI hospitalizations for Kaiser Permanente Southern California members, aged >/=35 years, during 2000 to 2014 using discharge diagnostic codes. We excluded hospitalizations with missing race/ethnicity information. We calculated annual incidence rates (age and sex standardized to the 2010 US census population) for AMI, ST-segment-elevation myocardial infarction, and non-ST-segment-elevation myocardial infarction by race/ethnicity (Hispanic and non-Hispanic racial groups: Asian or Pacific Islander, black, and white). Using Poisson regression, we estimated annual percentage change in AMI, non-ST-segment-elevation myocardial infarction, and ST-segment-elevation myocardial infarction incidence by race/ethnicity and AMI incidence rate ratios between race/ethnicity pairs, adjusting for age and sex. We included 18 630 776 person-years of observation and identified 44 142 AMI hospitalizations. During 2000 to 2014, declines in AMI, non-ST-segment-elevation myocardial infarction, and ST-segment-elevation myocardial infarction were 48.7%, 34.2%, and 69.8%, respectively. Age- and sex-standardized AMI hospitalization rates/100 000 person-years declined for Hispanics (from 307 to 162), Asians or Pacific Islanders (from 271 to 158), blacks (from 347 to 199), and whites (from 376 to 189). Annual percentage changes ranged from -2.99% to -4.75%, except for blacks, whose annual percentage change was -5.32% during 2000 to 2009 and -1.03% during 2010 to 2014. Conclusions During 2000 to 2014, AMI, non-ST-segment-elevation myocardial infarction, and ST-segment-elevation myocardial infarction hospitalization incidence rates declined substantially for each race/ethnic group. Despite narrowing rates among races/ethnicities, differences persist. Understanding these differences can help identify unmet needs in AMI prevention and management to guide targeted interventions. |
Antibiotic and antifungal treatment among persons with confirmed coccidioidomycosis - Southern California, 2011
Chi GC , Benedict K , Beer KD , Jackson BR , McCotter O , Xie F , Lawrence JM , Tartof SY . Med Mycol 2019 58 (3) 411-413 We investigated coccidioidomycosis testing and treatment patterns among persons in an integrated healthcare delivery system to identify gaps in diagnosis and treatment. Coccidioidomycosis diagnosis delays were common. Among persons who tested positive, 70% were prescribed antibiotics before positive coccidioidomycosis tests. Antibiotic treatment decreased and antifungal treatment increased after positive testing. |
Validity of ICD-10-CM codes for determination of diabetes type for persons with youth-onset type 1 and type 2 diabetes
Chi GC , Li X , Tartof SY , Slezak JM , Koebnick C , Lawrence JM . BMJ Open Diabetes Res Care 2019 7 (1) e000547 Objective: Diagnosis codes might be used for diabetes surveillance if they accurately distinguish diabetes type. We assessed the validity of International Classification of Disease, 10th Revision, Clinical Modification (ICD-10-CM) codes to discriminate between type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) among health plan members with youth-onset (diagnosis age <20 years) diabetes. Research design and methods. Diabetes case identification and abstraction of diabetes type was done as part of the SEARCH for Diabetes in Youth Study. The gold standard for diabetes type is the physician-assigned diabetes type documented in patients' medical records. Using all healthcare encounters with ICD-10-CM codes for diabetes, we summarized codes within each encounter and determined diabetes type using percent of encounters classified as T2DM. We chose 50% as the threshold from a receiver operating characteristic curve because this threshold yielded the largest Youden's index. Persons with ≥50% T2DM-coded encounters were classified as having T2DM. Otherwise, persons were classified as having T1DM. We calculated sensitivity, specificity, positive and negative predictive values, and accuracy overall and by demographic characteristics. Results: According to the gold standard, 1911 persons had T1DM and 652 persons had T2DM (mean age (SD): 19.1 (6.5) years). We obtained 90.6% (95% CI 88.4% to 92.9%) sensitivity, 96.3% (95% CI 95.4% to 97.1%) specificity, 89.3% (95% CI 86.9% to 91.6%) positive predictive value, 96.8% (95% CI 96.0% to 97.6%) negative predictive value, and 94.8% (95% CI 94.0% to 95.7%) accuracy for discriminating T2DM from T1DM. Conclusions ICD-10-CM codes can accurately classify diabetes type for persons with youth-onset diabetes, showing promise for rapid, cost-efficient diabetes surveillance. |
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