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King SJ, Patel R, Arora S, Stouffer GA. Risk Factors, Use of Revascularization, and Outcomes in Young Adults With ST-Elevation Myocardial Infarction. Am J Cardiol 2024; 225:142-150. [PMID: 38964529 DOI: 10.1016/j.amjcard.2024.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 06/12/2024] [Accepted: 06/17/2024] [Indexed: 07/06/2024]
Abstract
The incidence of acute myocardial infarction is increasing in younger age groups, with differences in treatment and outcomes based on gender. ST-elevation myocardial infarction (STEMI) in young adults, however, is incompletely understood as most of the current studies were performed in homogenous populations, did not focus on STEMI, and lack direct comparisons with older adults. We performed a retrospective observational study using the Statewide Planning And Research Cooperative System for all admissions in New York State with a principal diagnosis of STEMI from 2011 to 2018. There were 58,083 STEMIs with the majority being male (68.2%) and non-Hispanic White (64.8%), with an average age of 63.9 ± 13.9 years. Of these, 8,494 (14.6%) occurred in patients aged <50 years. The proportion of STEMIs in women increased with age, from 19.2% in the <50-year-old age group to 48.9% in the ≥70-year-old age group. Young adults with STEMI had greater prevalence of obesity, current tobacco use, other substance use, and major psychiatric disorders, were more likely to receive revascularization, and had lower 1-year mortality than older age groups. Revascularization was associated with at least a 3 times lower odds ratio of 1-year mortality in all age groups. In conclusion, young adults with STEMI had a unique set of risk factors and co-morbidities and were more likely to undergo revascularization than older age groups. In all age groups, female gender was associated with a higher burden of co-morbidities, decreased use of revascularization, and increased 1-year mortality.
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Affiliation(s)
- Sara J King
- Department of Medicine, Stanford University. Palo Alto, California
| | - Rajiv Patel
- Division of Cardiology, University of North Carolina, Chapel Hill, North Carolina; The McAllister Heart Institute, University of North Carolina, Chapel Hill, North Carolina
| | - Sameer Arora
- Division of Cardiology, University of North Carolina, Chapel Hill, North Carolina; The McAllister Heart Institute, University of North Carolina, Chapel Hill, North Carolina
| | - George A Stouffer
- Division of Cardiology, University of North Carolina, Chapel Hill, North Carolina; The McAllister Heart Institute, University of North Carolina, Chapel Hill, North Carolina.
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Kuang A, Xu C, Southern DA, Sandhu N, Quan H. Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review. JOURNAL OF EPIDEMIOLOGY AND POPULATION HEALTH 2024; 72:202744. [PMID: 38971056 DOI: 10.1016/j.jeph.2024.202744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 07/08/2024]
Abstract
OBJECTIVE This systematic review aimed to identify ICD-10 based validated algorithms for chronic conditions using health administrative data. METHODS A comprehensive systematic literature search using Ovid MEDLINE, Embase, PsycINFO, Web of Science and CINAHL was performed to identify studies, published between 1983 and May 2023, on validated algorithms for chronic conditions using administrative health data. Two reviewers independently screened titles and abstracts and reviewed full text of selected studies to complete data extraction. A third reviewer resolved conflicts arising at the screening or study selection stages. The primary outcome was validated studies of ICD-10 based algorithms with both sensitivity and PPV of ≥70 %. Studies with either sensitivity or PPV <70 % were included as secondary outcomes. RESULTS Overall, the search identified 1686 studies of which 54 met the inclusion criteria. Combining a previously published literature search, a total of 61 studies were included for data extraction. The study identified 40 chronic conditions with high validity and 22 conditions with moderate validity. The validated algorithms were based on administrative data from different countries including Canada, USA, Australia, Japan, France, South Korea, and Taiwan. The algorithms identified included several types of cancers, cardiovascular conditions, kidney diseases, gastrointestinal disorders, and peripheral vascular diseases, amongst others. CONCLUSION With ICD-10 prominently used across the world, this up-to-date systematic review can prove to be a helpful resource for research and surveillance initiatives using administrative health data for identifying chronic conditions.
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Affiliation(s)
- Angela Kuang
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Claire Xu
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Danielle A Southern
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Namneet Sandhu
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| | - Hude Quan
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Holodinsky JK, Kumar M, McNaughton CD, Austin PC, Chu A, Hill MD, Norris C, Field TS, Lee DS, Kapral MK, Kamal N, Yu AY. An Interrupted Time-Series Analysis of the Impact of COVID-19 on Hospitalizations for Vascular Events in 3 Canadian Provinces. CJC Open 2024; 6:959-966. [PMID: 39211760 PMCID: PMC11357754 DOI: 10.1016/j.cjco.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 04/26/2024] [Indexed: 09/04/2024] Open
Abstract
Background COVID-19 infection is associated with a pro-coagulable state, thrombosis, and cardiovascular events. However, its impact on population-based rates of vascular events is less well understood. We studied temporal trends in hospitalizations for stroke and myocardial infarction in 3 Canadian provinces (Alberta, Ontario, and Nova Scotia) between 2014 and 2022. Methods Linked administrative data from each province were used to identify admissions for ischemic stroke, intracerebral hemorrhage, cerebral venous thrombosis, and myocardial infarction. Event rates per 100,000/quarter, standardized to the 2016 Canadian population, were calculated. We assessed changes from quarterly rates pre-pandemic (2014-2020), compared to rates in the pandemic period (2020-2022), using interrupted time-series analysis with a jump discontinuity at pandemic onset. Age group- and sex-stratified analyses also were performed. Results We identified 162,497 strokes and 243,182 myocardial infarctions. At pandemic onset, no significant step change in strokesper 100,000/quarter was observed in any of the 3 provinces. During the pandemic, stroke rates were stable in Alberta and Ontario, but they increased in Nova Scotia (0.44 per 100,000/quarter, P = 0.004). At pandemic onset, a significant step decrease occurred in myocardial infarctions per 100,000/quarter in Alberta (4.72, P < 0.001) and Ontario (4.84, P < 0.001), but not in Nova Scotia. During the pandemic, myocardial infarctions per 100,000/quarter decreased in Alberta (-0.34, P = 0.01), but they remained stable in Ontario and Nova Scotia. No consistent patterns by age group or sex were noted. Conclusions Hospitalization rates for stroke or myocardial infarction across 3 Canadian provinces did not increase substantially during the first 2 years of the pandemic. Continued surveillance is warranted as the virus becomes endemic.
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Affiliation(s)
- Jessalyn K. Holodinsky
- Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Center for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mukesh Kumar
- Department of Industrial Engineering, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Candace D. McNaughton
- ICES, Toronto, Ontario, Canada
- Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Michael D. Hill
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Colleen Norris
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada
| | - Thalia S. Field
- Vancouver Stroke Program, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Douglas S. Lee
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Moira K. Kapral
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto, Toronto, Ontario, Canada
| | - Noreen Kamal
- Department of Industrial Engineering, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Medicine (Neurology), Dalhousie University, Halifax, Nova Scotia, Canada
| | - Amy Y.X. Yu
- ICES, Toronto, Ontario, Canada
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Lin CH, Zhang JF, Kuo YW, Kuo CF, Huang YC, Lee M, Lee JD. Assessment of the impact of resting heart rate on the risk of major adverse cardiovascular events after ischemic stroke: a retrospective observational study. BMC Neurol 2024; 24:267. [PMID: 39085779 PMCID: PMC11290262 DOI: 10.1186/s12883-024-03772-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 07/22/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Although elevated heart rate is a risk factor for cardiovascular morbidity and mortality in healthy people, the association between resting heart rate and major cardiovascular risk in patients after acute ischemic stroke remains debated. This study evaluated the association between heart rate and major adverse cardiovascular events after ischemic stroke. METHODS We conducted a retrospective cohort study analyzing data from the Chang Gung Research Database for 21,655 patients with recent ischemic stroke enrolled between January 1, 2010, and September 30, 2018. Initial in-hospital heart rates were averaged and categorized into 10-beats per minute (bpm) increments. The primary outcome was the composite of hospitalization for recurrent ischemic stroke, myocardial infarction, or all-cause mortality. Secondary outcomes were hospitalization for recurrent ischemic stroke, myocardial infarction, and heart failure. Hazard ratios and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models, using the heart rate < 60 bpm subgroup as the reference. RESULTS After a median follow-up of 3.2 years, the adjusted hazard ratios for the primary outcome were 1.13 (95% CI: 1.01 to 1.26) for heart rate 60-69 bpm, 1.35 (95% CI: 1.22 to 1.50) for heart rate 70-79 bpm, 1.64 (95% CI: 1.47 to 1.83) for heart rate 80-89 bpm, and 2.08 (95% CI: 1.85 to 2.34) for heart rate ≥ 90 bpm compared with the reference group. Heart rate ≥ 70 bpm was associated with increased risk of all secondary outcomes compared with the reference group except heart failure. CONCLUSIONS: Heart rate is a simple measurement with important prognostic implications. In patients with ischemic stroke, initial in-hospital heart rate was associated with major adverse cardiovascular events.
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Affiliation(s)
- Ching-Heng Lin
- Center for Artificial Intelligence in Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Jun-Fu Zhang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Computer Science, National Chengchi University, Taipei, Taiwan
| | - Ya-Wen Kuo
- Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi, Taiwan
- Department of Neurology, Chiayi Chang Gung Memorial Hospital, No.8, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan (R.O.C.)
| | - Chang-Fu Kuo
- Center for Artificial Intelligence in Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan
- Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yen-Chu Huang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Neurology, Chiayi Chang Gung Memorial Hospital, No.8, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan (R.O.C.)
| | - Meng Lee
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Neurology, Chiayi Chang Gung Memorial Hospital, No.8, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan (R.O.C.)
| | - Jiann-Der Lee
- College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Department of Neurology, Chiayi Chang Gung Memorial Hospital, No.8, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan (R.O.C.).
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Thyagaturu H, Sandhyavenu H, Titus A, Roma N, Gonuguntla K, Navinkumar Patel N, Hashem A, Dawn Abbott J, Balla S, Bhatt DL. Trends and Outcomes of Acute Myocardial Infarction During the Early COVID-19 Pandemic in the United States: A National Inpatient Sample Study. Korean Circ J 2024; 54:54.e75. [PMID: 39175340 DOI: 10.4070/kcj.2024.0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/12/2024] [Accepted: 06/04/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND AND OBJECTIVES There are limited national data on the trends and outcomes of patients hospitalized with acute myocardial infarction (AMI) during the coronavirus disease 2019 (COVID-19) pandemic. We aimed to evaluate the impact of early COVID-19 pandemic on the trends and outcomes of AMI using the National Inpatient Sample (NIS) database. METHODS The NIS database was queried from January 2019 to December 2020 to identify adult (age ≥18 years) AMI hospitalizations and were categorized into ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) based on International Classification of Diseases, Tenth Revision, Clinical Modification codes. In addition, the in-hospital mortality, revascularization, and resource utilization of AMI hospitalizations early in the COVID-19 pandemic (2020) were compared to those in the pre-pandemic period (2019) using multivariate logistic and linear regression analysis. RESULTS Amongst 1,709,480 AMI hospitalizations, 209,450 STEMI and 677,355 NSTEMI occurred in 2019 while 196,230 STEMI and 626,445 NSTEMI hospitalizations occurred in 2020. Compared with those in 2019, the AMI hospitalizations in 2020 had higher odds of in-hospital mortality (adjusted odds ratio [aOR], 1.27; 95% confidence interval [CI], [1.23-1.32]; p<0.01) and lower odds of percutaneous coronary intervention (aOR, 0.95 [0.92-0.99]; p=0.02), and coronary artery bypass graft (aOR, 0.90 [0.85-0.97]; p<0.01). CONCLUSIONS We found a significant decline in AMI hospitalizations and use of revascularization, with higher in-hospital mortality, during the early COVID-19 pandemic period (2020) compared with the pre-pandemic period (2019). Further research into the factors associated with increased mortality could help with preparedness in future pandemics.
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Affiliation(s)
| | | | - Anoop Titus
- Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, USA
| | - Nicholas Roma
- Department of Internal Medicine, St. Luke's University Hospital Network, Bethlehem, PA, USA
| | | | - Neel Navinkumar Patel
- Department of Internal Medicine, New York Medical College/Landmark Medical Center, Woonsocket, RI, USA
| | - Anas Hashem
- Department of Internal Medicine, Rochester General Hospital, Rochester, NY, USA
| | - Jinnette Dawn Abbott
- Department of Medicine, Division of Cardiology, Alpert Medical School of Brown University, Providence, RI, USA
| | - Sudarshan Balla
- Department of Cardiology, West Virginia University, Morgantown, WV, USA
| | - Deepak L Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai Health System, New York, NY, USA
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Barry AR, Helisaz H, Safari A, Loewen P. Effect of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers After Coronary Artery Bypass Graft Surgery: A Population-Based Cohort Study. J Am Heart Assoc 2024; 13:e035215. [PMID: 38842283 PMCID: PMC11255732 DOI: 10.1161/jaha.124.035215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND The effect of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARBs) on major adverse cardiovascular events (MACE) in patients who undergo coronary artery bypass graft surgery is equivocal. This retrospective, population-based cohort study evaluated effect of exposure to an ACEI/ARB on MACE using linked administrative databases that included all cardiac revascularization procedures, hospitalizations, and prescriptions for the population of British Columbia, Canada. METHODS AND RESULTS All adults who underwent coronary artery bypass graft surgery between 2002 and 2020 were eligible. The primary outcome was time to MACE, defined as a composite of all-cause death, myocardial infarction, and ischemic stroke using Cox proportional hazards models with inverse probability treatment weighting. Included were 15 439 patients and 6191 (40%) were prescribed an ACEI/ARB. Mean age was 66 years, 83% were men, and 16% had heart failure (HF). Median exposure time was 40 months. Over the 5-year follow-up, 1623 MACE occurred. Impact of exposure was different for patients with and without HF (P <0.0001 for interaction). After probability-weighting and adjustment for relevant covariates, exposure to ACEI/ARBs was associated with a lower hazard of MACE in patients with HF at 1 year (hazard ratio, 0.13 [95% CI, 0.09-0.19]) and 5 years (hazard ratio, 0.36 [95% CI, 0.30-0.44]). In patients without HF, ACEI/ARBs had a lower hazard of MACE at 1 year (hazard ratio, 0.35 [95% CI, 0.27-0.46]) and 5 years (hazard ratio, 0.66 [95% CI, 0.58-0.76]). CONCLUSIONS In this population-based study, ACEI/ARBs were associated with a lower hazard of MACE in a cohort of patients post-coronary artery bypass graft surgery irrespective of HF status.
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Affiliation(s)
- Arden R. Barry
- Faculty of Pharmaceutical SciencesThe University of British ColumbiaVancouverBritish ColumbiaCanada
- Jim Pattison Outpatient Care and Surgery CentreLower Mainland Pharmacy ServicesSurreyBritish ColumbiaCanada
| | - Hamed Helisaz
- GranTAZ ConsultingVancouverBritish ColumbiaCanada
- Faculty of Applied ScienceThe University of British ColumbiaVancouverBritish ColumbiaCanada
| | - Abdollah Safari
- GranTAZ ConsultingVancouverBritish ColumbiaCanada
- School of Mathematics, Statistics and Computer Science, College of ScienceUniversity of TehranTehranIran
| | - Peter Loewen
- Faculty of Pharmaceutical SciencesThe University of British ColumbiaVancouverBritish ColumbiaCanada
- Centre for Cardiovascular InnovationThe University of British ColumbiaVancouverBritish ColumbiaCanada
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical SciencesThe University of British ColumbiaVancouverBritish ColumbiaCanada
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Iyer P, Gao Y, Jalal D, Girotra S, Singh N, Vaughan-Sarrazin M. Hydroxychloroquine use is associated with reduced mortality risk in older adults with rheumatoid arthritis. Clin Rheumatol 2024; 43:87-94. [PMID: 37498463 PMCID: PMC10818008 DOI: 10.1007/s10067-023-06714-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 06/20/2023] [Accepted: 07/19/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND There is little robust data about the cardiovascular safety of hydroxychloroquine in patients with rheumatoid arthritis (RA), who often have cardiovascular comorbidities. We examined the association between use of hydroxychloroquine (HCQ) in patients with RA and major adverse cardiovascular events (MACE). METHODS In a retrospective cohort of Medicare beneficiaries aged ≥ 65 years with RA, we identified patients who initiated HCQ (users) and who did not initiate HCQ (non-users) between January 2015-June 2017. Each HCQ user was matched to 2 non-users of HCQ using propensity score derived from patient baseline characteristics. The primary outcome was the occurrence of MACE, defined as acute admissions for stroke, myocardial infarction, or heart failure. Secondary outcomes included all-cause mortality and the composite of MACE and all-cause mortality. Cox proportional hazards model was used to compare outcomes between HCQ users to non-users. RESULTS The study included 2380 RA patients with incident HCQ use and matched 4633 HCQ non-users over the study period. The mean follow-up duration was 1.67 and 1.63 years in HCQ non-users and users, respectively. In multivariable models, use of HCQ was not associated with the risk of MACE (hazard ratio 1.1; 95% CI: 0.832-1.33). However, use of HCQ was associated with a lower risk of all-cause mortality (HR: 0.54; 95% CI: 0.45-0.64) and the composite of all-cause mortality and MACE (HR 0.67; 95% CI: 0.58-0.78). CONCLUSION HCQ use was independently associated with a lower risk of mortality in older adults with RA but not with incidence of MACE events. Key Points • Using an incident user design (to avoid the biases of a prevalent user design) and a population-based approach, we examined the effect of hydroxychloroquine (HCQ) on the risk of major cardiovascular events (MACE) in older patients with RA. • We did not find an association between HCQ use and incident MACE. We did, however, find a significant association with the composite outcome (MACE and all-cause mortality) driven by a significant reduction in all-cause mortality with HCQ use.
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Affiliation(s)
- Priyanka Iyer
- Division of Rheumatology, University of California at Irvine, Irvine, CA, USA
| | - Yubo Gao
- Division of General Medicine, Department of Internal Medicine, Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Diana Jalal
- Division of Nephrology, Department of Internal Medicine, Roy and Lucille Carver College of Medicine, University of Iowa, and Iowa City VA Health Care System, Iowa City, IA, USA
| | - Saket Girotra
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Namrata Singh
- Division of Rheumatology, Department of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA.
| | - Mary Vaughan-Sarrazin
- Division of General Medicine, Department of Internal Medicine, Roy and Lucille Carver College of Medicine, University of Iowa, and Iowa City VA Health Care System Center for Access and Delivery Research and Evaluation (CADRE), Iowa City, IA, USA
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Zuin M, Rigatelli G, Temporelli P, Di Fusco SA, Colivicchi F, Pasquetto G, Bilato C. Trends in acute myocardial infarction mortality in the European Union, 2012-2020. Eur J Prev Cardiol 2023; 30:1758-1771. [PMID: 37379577 DOI: 10.1093/eurjpc/zwad214] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/21/2023] [Accepted: 06/26/2023] [Indexed: 06/30/2023]
Abstract
AIMS To assess the sex- and age-specific trends in acute myocardial infarction (AMI) mortality in the modern European Union (EU-27) member states between years 2012 and 2020. METHODS AND RESULTS Data on cause-specific deaths and population numbers by sex for each country of the EU-27 were retrieved through a publicly available European Statistical Office (EUROSTAT) dataset for the years 2012 to 2020. AMI-related deaths were ascertained when codes for AMI (ICD-10 codes I21.0-I22.0) were listed as the underlying cause of death in the medical death certificate. Deaths occurring before the age of 65 years were defined as premature deaths. To calculate annual trends, we assessed the average annual percent change (AAPC) with relative 95% confidence intervals (CIs) using joinpoint regression. During the study period, 1 793 314 deaths (1 048 044 males and 745 270 females) occurred in the EU-27 due to of AMI. The proportion of AMI-related deaths per 1000 total deaths decline from 5.0% to 3.5% both in the entire population (P for trend < 0.001) and in males or females, separately. Joinpoint regression analysis revealed a continuous linear decrease in age-adjusted AMI-related mortality from 2012 to 2020 among EU-27 members [AAPC: -4.6% (95% CI: -5.1 to -4.0), P < 0.001]. The age-adjusted mortality rate showed a plateau in some Eastern European countries and was more pronounced in EU-27 females and in subjects aged ≥65 years. CONCLUSION Over the last decade, the age-adjusted AMI-related mortality has been continuously declining in most of the in EU-27 member states. However, some disparities still exist between western and eastern European countries.
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Affiliation(s)
- Marco Zuin
- Department of Translational Medicine, University of Ferrara, Via Aldo Moro, 8, Ferrara 44100, Italy
- Department of Cardiology, West Vicenza Hospital, via del Parco 1, 30671, Arzignano, Italy
| | - Gianluca Rigatelli
- Department of Cardiology, Ospedali Riuniti Padova Sud, Via Albere 30, 35043, Monselice, Italy
| | - Pierluigi Temporelli
- Division of Cardiology, Istituti Clinici Scientifici Maugeri, IRCCS, via per Revislate 13, 28013, Gattico-Veruno, Italy
| | - Stefania Angela Di Fusco
- Clinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, via Giovanni Martinotti 20, 00135 Rome, Italy
| | - Furio Colivicchi
- Clinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, via Giovanni Martinotti 20, 00135 Rome, Italy
| | - Giampaolo Pasquetto
- Department of Cardiology, Ospedali Riuniti Padova Sud, Via Albere 30, 35043, Monselice, Italy
| | - Claudio Bilato
- Department of Cardiology, West Vicenza Hospital, via del Parco 1, 30671, Arzignano, Italy
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9
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Desai A, Sutradhar R, Lau C, Widger K, Lee DS, Nathan PC, Gupta S. Morbidity and healthcare use among mothers of children with cancer: A population-based study. Pediatr Blood Cancer 2023; 70:e30612. [PMID: 37543725 DOI: 10.1002/pbc.30612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND The impact of a child's cancer diagnosis on subsequent maternal physical health is unclear. METHODS We identified all Ontario children diagnosed less than 18 years with cancer between 1992 and 2017. Linkage to administrative databases identified mothers who were matched to population controls. We identified physical health conditions, acute healthcare use, and preventive healthcare use through validated algorithms using healthcare data, and compared them between exposed (child with cancer) and unexposed mothers. Predictors of health outcomes were assessed among exposed mothers. RESULTS We identified 5311 exposed mothers and 19,516 matched unexposed mothers. For exposed mothers, median age at last follow-up was 48 years, (interquartile range: 42-53). Exposed mothers had an increased risk of cancer (hazard ratio [HR] 1.2, 95% confidence interval [95% CI]: 1.0-1.5, p = .03), but not of any other adverse physical outcomes or of increased acute healthcare use. Exposed mothers were more likely to receive influenza vaccinations (odds ratio 1.4, 95% CI: 1.3-1.5, p < .0001), and underwent cancer screening at the same rate as unexposed mothers. Among exposed mothers, bereavement was associated with a subsequent increased risk of cancer (HR 1.7, 95% CI: 1.2-2.5, p = .004) and death (HR 2.2, 95% CI: 1.2-4.1, p = .01). CONCLUSION Mothers of children with cancer are at increased risk of developing cancer, but not of other adverse physical health outcomes, and were equally or more likely to be adherent to preventive healthcare practices. Bereaved mothers were at increased risk of subsequent cancer and death. Interventions targeting specific subpopulations of mothers of children with cancer or focused on screening for specific cancers may be warranted.
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Affiliation(s)
- Aditi Desai
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Rinku Sutradhar
- Cancer Research Program, ICES, Toronto, Ontario, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Cindy Lau
- Cancer Research Program, ICES, Toronto, Ontario, Canada
| | - Kim Widger
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Douglas S Lee
- Cancer Research Program, ICES, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Paul C Nathan
- Cancer Research Program, ICES, Toronto, Ontario, Canada
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Health Policy, Evaluation and Management, University of Toronto, Toronto, Ontario, Canada
| | - Sumit Gupta
- Cancer Research Program, ICES, Toronto, Ontario, Canada
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Health Policy, Evaluation and Management, University of Toronto, Toronto, Ontario, Canada
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10
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Stulberg EL, Harris BRE, Zheutlin AR, Delic A, Sheibani N, Anadani M, Yaghi S, Petersen NH, de Havenon A. Association of Blood Pressure Variability With Death and Discharge Destination Among Critically Ill Patients With and Without Stroke. Neurology 2023; 101:e1145-e1157. [PMID: 37487742 PMCID: PMC10513881 DOI: 10.1212/wnl.0000000000207599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 05/15/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES It is unclear whether blood pressure variability's (BPV) association with worse outcomes is unique to patients with stroke or a risk factor among all critically ill patients. We (1) determined whether BPV differed between patients with stroke and nonstroke patients, (2) examined BPV's associations with in-hospital death and favorable discharge destination in patients with stroke and nonstroke patients, and (3) assessed how minimum mean arterial pressure (MAP)-a correlate of illness severity and cerebral perfusion-affects these associations. METHODS This is a retrospective analysis of adult intensive care unit patients hospitalized between 2001 and 2012 from the Medical Information Mart for Intensive Care III database. Confounder-adjusted logistic regressions determined associations between BPV, measured as SD and average real variability (ARV), and (1) in-hospital death and (2) favorable discharge, with testing of minimum MAP for effect modification. RESULTS BPV was higher in patients with stroke (N = 2,248) compared with nonstroke patients (N = 9,085) (SD mean difference 2.3, 95% CI 2.1-2.6, p < 0.01). After adjusting for minimum tertile of MAP and other confounders, higher SD remained significantly associated (p < 0.05) with higher odds of in-hospital death for patients with acute ischemic strokes (AISs, odds ratio [OR] 2.7, 95% CI 1.5-4.8), intracerebral hemorrhage (ICH, OR 2.6, 95% CI 1.6-4.3), subarachnoid hemorrhage (SAH, OR 3.4, 95% CI 1.2-9.3), and pneumonia (OR 1.9, 95% CI 1.1-3.3) and lower odds of favorable discharge destination in patients with ischemic stroke (OR 0.3, 95% CI 0.2-0.6) and ICH (OR 0.4, 95% CI 0.3-0.6). No interaction was found between minimum MAP tertile with SD (p > 0.05). Higher ARV was not significantly associated with increased risk of death in any condition when adjusting for illness severity but portended worse discharge destination in those with AIS (OR favorable discharge 0.4, 95% CI 0.3-0.7), ICH (OR favorable discharge 0.5, 95% CI 0.3-0.7), sepsis (OR favorable discharge 0.8, 95% CI 0.6-1.0), and pneumonia (OR favorable discharge 0.5, 95% CI 0.4-0.8). DISCUSSION BPV is higher and generally associated with worse outcomes among patients with stroke compared with nonstroke patients. BPV in patients with AIS and patients with ICH may be a marker of central autonomic network injury, although clinician-driven blood pressure goals likely contribute to the association between BPV and outcomes.
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Affiliation(s)
- Eric Lee Stulberg
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT.
| | - Benjamin Robert Edward Harris
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Alexander Robert Zheutlin
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Alen Delic
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Nazanin Sheibani
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Mohammad Anadani
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Shadi Yaghi
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Nils H Petersen
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
| | - Adam de Havenon
- From the Department of Neurology (E.L.S., A.D., A.H.), and Department of Internal Medicine (B.R.E.H., A.R.Z.), University of Utah School of Medicine, Salt Lake City; Department of Neurology (N.S.), Tufts University Medical Center, Boston, MA; Department of Neurology (M.A.), Medical University of South Carolina, Charleston; Department of Neurology (S.Y.), Brown University Alpert School of Medicine, Providence, RI; and Department of Neurology (N.H.P., A.H.), Yale University School of Medicine, New Haven, CT
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11
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Wang W, Chen LY, Walker RF, Chow LS, Norby FL, Alonso A, Pankow JS, Lutsey PL. SGLT2 Inhibitors Are Associated With Reduced Cardiovascular Disease in Patients With Type 2 Diabetes: An Analysis of Real-World Data. Mayo Clin Proc 2023; 98:985-996. [PMID: 37419588 PMCID: PMC10348449 DOI: 10.1016/j.mayocp.2023.01.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/29/2022] [Accepted: 01/26/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVE To assess the association between sodium-glucose cotransporter-2 (SGLT2) inhibitors and other second-line diabetes therapies with risk of cardiovascular disease (CVD), as well as conduct head-to-head comparisons between SGLT2 inhibitors. PATIENTS AND METHODS Using data from the MarketScan databases (January 1, 2013, through December 31, 2019), SGLT2 inhibitor users were matched with up to five other second-line therapy users by age, sex, date of enrollment, and date of second-line therapy initiation. The primary composite outcome included stroke, atrial fibrillation, myocardial infarction, and heart failure. Hazard ratios were estimated, adjusting for demographics and a propensity score reflecting comorbidities and medications. RESULTS In this study population of 313,396 patients (mean age 53±10 years; 47% female), 9787 incident CVD events occurred over a median follow-up of 1.36 years. After multivariable adjustments, SGLT2 inhibitor users had a lower risk of CVD than other second-line therapy users (HR, 0.66; 95% CI, 0.62 to 0.71). Significant associations were also observed when each CVD outcome was assessed separately. No differences were noted when comparing individual SGLT2 inhibitors. CONCLUSION SGLT2 inhibitors were associated with a clinically meaningfully lower CVD risk in the real-world setting. In head-to-head comparisons, the different SGLT2 inhibitors were consistent in their protective associations with CVD. This suggests that as a class, SGLT2 inhibitors may have widespread benefit in preventing CVD among patients with type 2 diabetes.
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Affiliation(s)
- Wendy Wang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
| | - Lin Yee Chen
- Cardiovascular Division, Department of Medicine and Lillehei Heart Institute, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Rob F Walker
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Lisa S Chow
- Division of Diabetes, Endocrinology, and Metabolism, University of Minnesota, Minneapolis, MN, USA
| | - Faye L Norby
- Center for Cardiac Arrest Prevention, Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
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12
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Epping J, Safieddine B, Geyer S, Tetzlaff J. [Are Prevalence Rates Comparable in Survey and Routine Data? Prevalence of Myocardial Infarction in Claims Data of the AOK Lower Saxony and in Data of German Health Interview and Examination (DEGS1)]. DAS GESUNDHEITSWESEN 2023; 85:S111-S118. [PMID: 34798662 DOI: 10.1055/a-1649-7575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AIMS OF THE STUDY This study compared prevalences of myocardial infarction between data drawn from health interviews and claims data from statutory health insurance. Previous comparative studies have drawn comparisons without having considered possible differences in the sociodemographic structure of the underlying study populations. The approach applied here aimed to match the sociodemographic structure via available information in both datasets and to compare prevalences in parallelized samples. METHODOLOGY Data from the German Health Interview and Examination Study for Adults (DEGS1) and claims data from the AOK Lower Saxony (AOKN) were used. To match the sociodemographic structure of the two data sets, a parallelized sample was drawn from the AOKN data according to sex, age, and vocational training qualification. As part of a sensitivity analysis, additional samples were drawn and a mean overall prevalence was calculated from them. RESULTS Data from 5779 DEGS1 respondents and 22 534 AOKN insured persons were used for the analysis. After parallelization of the AOKN-sample by sex, age, and vocational training qualification, no significant differences in prevalence of myocardial infarction could be found between claims data from the AOKN and data from the DEGS1 Health Survey. In men, there were tendencies toward lower prevalence of myocardial infarction in the AOKN data. Possible explanations include the selection of less morbid insured persons by using the vocational education degree for parallelization or memory discrepancies in survey data. CONCLUSION Differences in sociodemographic structure may play a role the interpretation of disease prevalence from difference data sources. This can be compensated for by parallelizing the samples. Future comparative analyses should take into account characteristics of the socioeconomic status. Similar analyses of other diseases such as stroke, diabetes, and metabolic disorders would be desirable.
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Affiliation(s)
- Jelena Epping
- Medizinische Soziologie, Medizinische Hochschule Hannover, Hannover, Deutschland
| | - Batoul Safieddine
- Medizinische Soziologie, Medizinische Hochschule Hannover, Hannover, Deutschland
| | - Siegfried Geyer
- Medizinische Soziologie, Medizinische Hochschule Hannover, Hannover, Deutschland
| | - Juliane Tetzlaff
- Medizinische Soziologie, Medizinische Hochschule Hannover, Hannover, Deutschland
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13
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Feng Y, Leung AA, Lu X, Liang Z, Quan H, Walker RL. Personalized prediction of incident hospitalization for cardiovascular disease in patients with hypertension using machine learning. BMC Med Res Methodol 2022; 22:325. [PMID: 36528631 PMCID: PMC9758895 DOI: 10.1186/s12874-022-01814-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Prognostic information for patients with hypertension is largely based on population averages. The purpose of this study was to compare the performance of four machine learning approaches for personalized prediction of incident hospitalization for cardiovascular disease among newly diagnosed hypertensive patients. METHODS Using province-wide linked administrative health data in Alberta, we analyzed a cohort of 259,873 newly-diagnosed hypertensive patients from 2009 to 2015 who collectively had 11,863 incident hospitalizations for heart failure, myocardial infarction, and stroke. Linear multi-task logistic regression, neural multi-task logistic regression, random survival forest and Cox proportional hazard models were used to determine the number of event-free survivors at each time-point and to construct individual event-free survival probability curves. The predictive performance was evaluated by root mean squared error, mean absolute error, concordance index, and the Brier score. RESULTS The random survival forest model has the lowest root mean squared error value at 33.94 and lowest mean absolute error value at 28.37. Machine learning methods provide similar discrimination and calibration in the personalized survival prediction of hospitalizations for cardiovascular events in patients with hypertension. Neural multi-task logistic regression model has the highest concordance index at 0.8149 and lowest Brier score at 0.0242 for the personalized survival prediction. CONCLUSIONS This is the first personalized survival prediction for cardiovascular diseases among hypertensive patients using administrative data. The four models tested in this analysis exhibited a similar discrimination and calibration ability in predicting personalized survival prediction of hypertension patients.
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Affiliation(s)
- Yuanchao Feng
- grid.22072.350000 0004 1936 7697Centre for Health informatics, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Libin Cardiovascular Institute, University of Calgary, Calgary, AB Canada
| | - Alexander A. Leung
- grid.22072.350000 0004 1936 7697Centre for Health informatics, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Libin Cardiovascular Institute, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB Canada
| | - Xuewen Lu
- grid.22072.350000 0004 1936 7697Department of Mathematics and Statistics, University of Calgary, Calgary, AB Canada
| | - Zhiying Liang
- grid.22072.350000 0004 1936 7697Centre for Health informatics, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Libin Cardiovascular Institute, University of Calgary, Calgary, AB Canada
| | - Hude Quan
- grid.22072.350000 0004 1936 7697Centre for Health informatics, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Libin Cardiovascular Institute, University of Calgary, Calgary, AB Canada ,grid.413574.00000 0001 0693 8815O’Brien Institute for Public Health and Alberta Health Services, 3280 Hospital Drive NW, Calgary, AB T2N 4Z6 Canada
| | - Robin L. Walker
- grid.22072.350000 0004 1936 7697Centre for Health informatics, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB Canada ,grid.413574.00000 0001 0693 8815O’Brien Institute for Public Health and Alberta Health Services, 3280 Hospital Drive NW, Calgary, AB T2N 4Z6 Canada
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14
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Asaria P, Bennett JE, Elliott P, Rashid T, Iyathooray Daby H, Douglass M, Francis DP, Fecht D, Ezzati M. Contributions of event rates, pre-hospital deaths, and deaths following hospitalisation to variations in myocardial infarction mortality in 326 districts in England: a spatial analysis of linked hospitalisation and mortality data. Lancet Public Health 2022; 7:e813-e824. [PMID: 35850144 PMCID: PMC10506182 DOI: 10.1016/s2468-2667(22)00108-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/11/2022] [Accepted: 04/19/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Myocardial infarction mortality varies substantially within high-income countries. There is limited guidance on what interventions-including primary and secondary prevention, or improvement of care pathways and quality-can reduce myocardial infarction mortality. Our aim was to understand the contributions of incidence (event rate), pre-hospital deaths, and hospital case fatality to the variations in myocardial infarction mortality within England. METHODS We used linked data from national databases on hospitalisations and deaths with acute myocardial infarction (ICD-10 codes I21 and I22) as a primary hospital diagnosis or underlying cause of death, from Jan 1, 2015, to Dec 31, 2018. We used geographical identifiers to estimate myocardial infarction event rate (number of events per 100 000 population), death rate (number of deaths per 100 000 population), total case fatality (proportion of events that resulted in death), pre-hospital fatality (proportion of events that resulted in pre-hospital death), and hospital case fatality (proportion of admissions due to myocardial infarction that resulted in death within 28 days of admission) for men and women aged 45 years and older across 326 districts in England. Data were analysed in a Bayesian spatial model that accounted for similarities and differences in spatial patterns of fatal and non-fatal myocardial infarction. Age-standardised rates were calculated by weighting age-specific rates by the corresponding national share of the appropriate denominator for each measure. FINDINGS From 2015 to 2018, national age-standardised death rates were 63 per 100 000 population in women and 126 per 100 000 in men, and event rates were 233 per 100 000 in women and 512 per 100 000 in men. After age-standardisation, 15·0% of events in women and 16·9% in men resulted in death before hospitalisation, and hospital case fatality was 10·8% in women and 10·6% in men. Across districts, the 99th-to-1st percentile ratio of age-standardised myocardial infarction death rates was 2·63 (95% credible interval 2·45-2·83) in women and 2·56 (2·37-2·76) in men, with death rates highest in parts of northern England. The main contributor to this variation was myocardial infarction event rate, with a 99th-to-1st percentile ratio of 2·55 (2·39-2·72) in women and 2·17 (2·08-2·27) in men across districts. Pre-hospital fatality was greater than hospital case fatality in every district. Pre-hospital fatality had a 99th-to-1st percentile ratio of 1·60 (1·50-1·70) in women and 1·75 (1·66-1·86) in men across districts, and made a greater contribution to variation in total case fatality than did hospital case fatality (99th-to-1st percentile ratio 1·39 [1·29-1·49] and 1·49 [1·39-1·60]). The contribution of case fatality to variation in deaths across districts was largest in women aged 55-64 and 65-74 years and in men aged 55-64, 65-74, and 75-84 years. Pre-hospital fatality was slightly higher in men than in women in most districts and age groups, whereas hospital case fatality was higher in women in virtually all districts at ages up to and including 65-74 years. INTERPRETATION Most of the variation in myocardial infarction mortality in England is due to variation in myocardial infarction event rate, with a smaller role for case fatality. Most variation in case fatality occurs before rather than after hospital admission. Reducing subnational variations in myocardial infarction mortality requires interventions that reduce event rate and pre-hospital deaths. FUNDING Wellcome Trust, British Heart Foundation, Medical Research Council (UK Research and Innovation), and National Institute for Health Research (UK).
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Affiliation(s)
- Perviz Asaria
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Department of Cardiology, Imperial College NHS Trust, London, UK
| | - James E Bennett
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, School of Public Health, Imperial College London, London, UK
| | - Theo Rashid
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Hima Iyathooray Daby
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, School of Public Health, Imperial College London, London, UK
| | - Margaret Douglass
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, School of Public Health, Imperial College London, London, UK
| | - Darrel P Francis
- Department of Cardiology, Imperial College NHS Trust, London, UK; National Heart and Lung Institute, Imperial College London, London, UK
| | - Daniela Fecht
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, School of Public Health, Imperial College London, London, UK
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Regional Institute for Population Studies, University of Ghana, Accra, Ghana.
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15
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Desai A, Sutradhar R, Lau C, Lee DS, Nathan PC, Gupta S. Morbidity and health care use among siblings of children with cancer: A population-based study. Pediatr Blood Cancer 2022; 69:e29438. [PMID: 34786814 DOI: 10.1002/pbc.29438] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 10/15/2021] [Accepted: 10/18/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND Childhood cancer impacts the entire family unit. We sought to investigate its impact on the long-term physical health outcomes of siblings of children with cancer. PROCEDURE Pediatric cancer patients diagnosed in Ontario, Canada between 1988 and 2016 were linked to biological siblings. Sibling cases were matched to population controls based on sex, age, geographic location, and number of other children in the family. After individual linkage to health services data, we compared several outcomes between sibling cases and controls: (a) physical health conditions (such as diabetes, hypertension, and death); (b) acute health care use (hospitalization, low- and high-acuity emergency department [ED] visits); and (c) preventive health care use (periodic health checkups, influenza vaccinations). Cox proportional hazards, recurrent event, or logistic regression models were used as appropriate. RESULTS We identified 8529 sibling cases and 30,364 matched controls (median age at index: 6 years, median age at last follow-up 17 years). Compared to controls, siblings were at increased risk of hypertension (hazard ratio [HR] 1.8; 95% confidence interval [CI] 1.1-2.9; p = .01), had higher rates of low- and high-acuity ED visits (rate ratio 1.1; 95% CI 1.1-1.2; p < .001), and increased risk of hospitalization (HR 1.1; 95% CI 1.1-1.2; p < .001). Sibling cases were also more likely to receive preventive health care (p < .05). CONCLUSION Increased risk of hypertension, high-acuity ED visits, and hospitalizations suggest that siblings may experience poorer health compared to controls. Counseling families about this potential increased risk and long-term follow-up of siblings to monitor their physical health may be justified.
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Affiliation(s)
- Aditi Desai
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Douglas S Lee
- ICES, Toronto, Ontario, Canada.,Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Paul C Nathan
- The Hospital for Sick Children, Division of Haematology/Oncology, Toronto, Ontario, Canada
| | - Sumit Gupta
- The Hospital for Sick Children, Division of Haematology/Oncology, Toronto, Ontario, Canada
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16
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Wagner SK, Hughes F, Cortina-Borja M, Pontikos N, Struyven R, Liu X, Montgomery H, Alexander DC, Topol E, Petersen SE, Balaskas K, Hindley J, Petzold A, Rahi JS, Denniston AK, Keane PA. AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK. BMJ Open 2022; 12:e058552. [PMID: 35296488 PMCID: PMC8928293 DOI: 10.1136/bmjopen-2021-058552] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Retinal signatures of systemic disease ('oculomics') are increasingly being revealed through a combination of high-resolution ophthalmic imaging and sophisticated modelling strategies. Progress is currently limited not mainly by technical issues, but by the lack of large labelled datasets, a sine qua non for deep learning. Such data are derived from prospective epidemiological studies, in which retinal imaging is typically unimodal, cross-sectional, of modest number and relates to cohorts, which are not enriched with subpopulations of interest, such as those with systemic disease. We thus linked longitudinal multimodal retinal imaging from routinely collected National Health Service (NHS) data with systemic disease data from hospital admissions using a privacy-by-design third-party linkage approach. PARTICIPANTS Between 1 January 2008 and 1 April 2018, 353 157 participants aged 40 years or older, who attended Moorfields Eye Hospital NHS Foundation Trust, a tertiary ophthalmic institution incorporating a principal central site, four district hubs and five satellite clinics in and around London, UK serving a catchment population of approximately six million people. FINDINGS TO DATE Among the 353 157 individuals, 186 651 had a total of 1 337 711 Hospital Episode Statistics admitted patient care episodes. Systemic diagnoses recorded at these episodes include 12 022 patients with myocardial infarction, 11 735 with all-cause stroke and 13 363 with all-cause dementia. A total of 6 261 931 retinal images of seven different modalities and across three manufacturers were acquired from 1 54 830 patients. The majority of retinal images were retinal photographs (n=1 874 175) followed by optical coherence tomography (n=1 567 358). FUTURE PLANS AlzEye combines the world's largest single institution retinal imaging database with nationally collected systemic data to create an exceptional large-scale, enriched cohort that reflects the diversity of the population served. First analyses will address cardiovascular diseases and dementia, with a view to identifying hidden retinal signatures that may lead to earlier detection and risk management of these life-threatening conditions.
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Affiliation(s)
- Siegfried Karl Wagner
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Fintan Hughes
- Department of Anaesthesiology, Duke University Hospital, Durham, North Carolina, USA
| | | | - Nikolas Pontikos
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Robbert Struyven
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Centre for Regulatory Science and Innovation, Birmingham Health Partners, Birmingham, UK
| | - Hugh Montgomery
- Centre for Human Health and Performance, University College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Eric Topol
- Scripps Research Institute, La Jolla, California, USA
| | - Steffen Erhard Petersen
- William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Konstantinos Balaskas
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
- Medical Retina Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Jack Hindley
- Department of Information Governance, University College London, London, UK
| | - Axel Petzold
- Institute of Ophthalmology, University College London, London, UK
- Institute of Neurology, University College London, London, UK
- Department of Neurophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Jugnoo S Rahi
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, University College London, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Centre for Regulatory Science and Innovation, Birmingham Health Partners, Birmingham, UK
| | - Pearse A Keane
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
- Medical Retina Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK
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Outcomes of Acute Coronary Syndrome in Hospitalized Patients with Celiac Disease, a United States Nationwide Experience. HEARTS 2022. [DOI: 10.3390/hearts3010006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: Cardiovascular disease remains the leading cause of death in the United States. Coronary artery disease alone accounted for approximately 13% of deaths in the US in 2016. Some studies have suggested an increased prevalence of coronary artery disease (CAD) in chronic inflammatory conditions, such as celiac disease (CD). Chronic subclinical systemic inflammation, decreased absorption of cardio-protective nutrients and drugs have all been postulated as the driving mechanisms for this increased risk of CAD. Methods: We reviewed a Nationwide Inpatient Sample from 2007 to 2017, using Acute Coronary syndrome as a principal diagnosis with CD as the secondary diagnosis, utilizing validated ICD-9-CM and ICD-10 codes. We examined the annual trends in the number of cases and hospitalization charges yearly and used survey regression to calculate adjusted odds ratios (aOR) for hospital mortality and other outcomes. Results: We identified a total of 8,036,307 ACS hospitalizations from 2007 to 2017, of which 5917 (0.07%) had a diagnosis for CD. The proportion of patients with CD in ACS hospitalizations increased from 0.015% in 2007 to 0.076% in 2017. These patients were significantly older (70.3 vs. 67.4 years, p < 0.02), more likely female (51.9% vs. 39.5%, p < 0.01), and more likely to be white (93.8% vs. 76.6%; p < 0.01) than ACS patients without CD. After adjusting for age, gender, race, Charlson Comorbidity index and hospital level characteristics, ACS hospitalizations for CD patients had a lower odds ratio for hospital mortality (aOR = 0.39; 95% CI = 0.23–0.67; p < 0.01). Additionally, length of stay in this patient population was shorter (4.53 vs. 4.84 days, p < 0.01) but the mean hospitalization charges were higher (USD 64,058 vs. USD 60,223, p < 0.01). Conclusion: We found that the number of ACS-related admissions in CD patients has risen more than five-fold between 2007 and 2017. However, the odds of in-hospital mortality in these patients is not higher than patients without CD. The results of our study demonstrate that although the systemic inflammation related to CD is associated with an increasing prevalence of ACS hospitalizations, on the contrary, the mortality rate is significantly higher in patients without celiac disease.
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Dawwas GK, Barnes GD, Dietrich E, Cuker A, Leonard CE, Genuardi MV, Lewis JD. Cardiovascular and major bleeding outcomes with antiplatelet and direct oral anticoagulants in patients with acute coronary syndrome and atrial fibrillation: A population-based analysis. Am Heart J 2021; 242:71-81. [PMID: 34450051 DOI: 10.1016/j.ahj.2021.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 08/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Direct oral anticoagulants (DOACs) are replacing warfarin for stroke prevention in patients with atrial fibrillation (AF). OBJECTIVE To assess the effectiveness and safety of concomitant treatment with antiplatelet-DOAC compared to antiplatelet-warfarin in patients with acute coronary syndrome (ACS) and AF. DESIGN Retrospective propensity score-matched cohort study using United States-based commercial healthcare database from January 2016 to June 2019. PARTICIPANTS New-users of antiplatelet-DOAC and antiplatelet-warfarin who initiated the combined therapy within 30 days following incident ACS diagnosis. MEASUREMENTS Primary study outcomes were recurrent cardiovascular diseases (CVD) (ie, a composite of stroke and myocardial infarction) and major bleeding events identified via discharge diagnoses. We controlled for potential confounders via propensity score matching (PSM). We generated marginal hazard ratios (HRs) via Cox proportional hazards regression using a robust variance estimator while adjusting for calendar time. RESULTS After PSM, a total of 2,472 persons were included (1,236 users of antiplatelet-DOAC and 1,236 users of antiplatelet-warfarin). The use of antiplatelet-DOAC (vs. antiplatelet-warfarin) was associated with a reduced rate of recurrent CVD (adjusted HR 0.72, 95% confidence interval [CI], 0.56-0.92) and major bleeding events (adjusted HR, 0.49, 95% CI 0.33-0.72). LIMITATIONS Residual confounding. CONCLUSIONS In real-world data of AF patients with concurrent ACS, the use of antiplatelet-DOAC following ACS diagnosis was associated with a lower rate of recurrent CVD and major bleeding events compared with antiplatelet-warfarin. These findings highlight a potential promising role for DOACs in patients with ACS and AF requiring combined antiplatelet therapy.
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Ostrominski JW, Amione-Guerra J, Hernandez B, Michalek JE, Prasad A. Coding Variation and Adherence to Methodological Standards in Cardiac Research Using the National Inpatient Sample. Front Cardiovasc Med 2021; 8:713695. [PMID: 34796206 PMCID: PMC8592936 DOI: 10.3389/fcvm.2021.713695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 10/05/2021] [Indexed: 11/21/2022] Open
Abstract
Background: Code selection is crucial to the accuracy and reproducibility of studies using administrative data, however a comprehensive assessment of coding trends for major cardiac diagnoses and procedures is lacking. We aimed to evaluate trends in administrative code utilization for major cardiac diagnoses and procedures, and adherence to required methodological practices in cardiac research using the National Inpatient Sample (NIS). Methods: In this observational study of 445 articles, ICD-9-CM codes corresponding to acute myocardial infarction (AMI), heart failure, atrial fibrillation, percutaneous coronary intervention, and coronary artery bypass grafting were collected and analyzed. The NIS was used to compare the number of hospitalizations between the most frequently encountered AMI case definitions. Key elements were abstracted from each article to evaluate adherence to required methodological practices. Results: Variation in code utilization was observed for each diagnosis and procedure assessed, and the number of unique case definitions published per year increased throughout the study period (P < 0.001), driven largely by the significant increase in articles per year (P < 0.001). Off-target codes were observed in 39 (8.8%) studies. Upon reintroduction into the NIS for 2008–2012, the most commonly encountered case definitions for AMI were found to yield significantly different estimates of AMI hospitalizations and hospitalization trends over time. Three hundred and ninety-nine articles (84%) did not adhere to one or more required research practices. Overall adherence was superior for publications in higher-impact journals (P = 0.002). Conclusions: Substantial variation in code selection exists for major cardiac diagnoses and procedures, and non-adherence to methodological standards is widespread. These data have important implications for the accuracy and generalizability of analyses using the NIS.
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Affiliation(s)
- John W Ostrominski
- Department of Medicine, Division of Cardiology, UT Health San Antonio, San Antonio, TX, United States
| | - Javier Amione-Guerra
- Department of Medicine, Division of Cardiology, UT Health San Antonio, San Antonio, TX, United States
| | - Brian Hernandez
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, United States
| | - Joel E Michalek
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, United States
| | - Anand Prasad
- Department of Medicine, Division of Cardiology, UT Health San Antonio, San Antonio, TX, United States
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Lemus HN, Jetté N, Kwon CS, Yeshokumar AK, Dhamoon MS, Mazumdar M, Agarwal P. Readmission for cardiac and non-cardiac causes among adults with epilepsy or multiple sclerosis - A nationwide analysis. Epilepsy Behav 2021; 124:108338. [PMID: 34624805 DOI: 10.1016/j.yebeh.2021.108338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/21/2021] [Accepted: 09/12/2021] [Indexed: 11/23/2022]
Abstract
PURPOSE The aim of this study was to determine proportions of 30-day cardiac readmissions in adults with epilepsy compared to multiple sclerosis (MS) or those with neither condition. Predictors and causes of readmissions were also examined. METHODS We used the 2014 Nationwide Readmissions Database and ICD-9-CM codes to identify people with epilepsy, MS, and without epilepsy or MS. Multinomial logistic regressions were fitted to: (1) examine association between 30-day readmissions and epilepsy, MS or neither, and (2) to describe causes and predictors of 30-day readmission for cardiac readmissions in epilepsy. RESULTS Out of 6,870,508 adults admitted in 2014, 202,938 (2.98%) had epilepsy and 29,556 (0.45%) had MS. The proportion of 30-day readmission for epilepsy and MS were, respectively: (1) due to cardiac causes (0.17% vs. 0.13%); (2) due to other causes (13.89% vs. 10.61%). The odds of 30-day cardiac readmission in those with epilepsy and MS were lower compared to those without either condition (OR = 0.64, 95% CI 0.57-0.73, p < 0.0001; OR = 0.60, 95% CI 0.43-0.84, p = 0.003). Among those with epilepsy, increasing age (OR = 1.03, 95% CI 1.02-1.04, p < 0.0001) and a Charlson comorbidity index ≥1 (OR = 1.79, 95% CI 1.24-2.60, p = 0.002) were associated with higher odds of 30-day cardiac readmission. A higher proportion of those with epilepsy readmitted within 30-days due to cardiac causes died in hospital (10.09%) compared to those with MS (not reportable due to cell frequency <10) or without epilepsy or MS (5.61%). CONCLUSION Those admitted to a hospital and living with epilepsy had a higher proportion of cardiac readmissions and death in hospital when compared to those living with MS, and the determinants are likely multifactorial. These findings are important and need to be further explored to identify strategies to prevent readmissions due to any cause and treatments that could reduce mortality.
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Affiliation(s)
- Hernan Nicolas Lemus
- Icahn School of Medicine at Mount Sinai, Department of Neurology, United States.
| | - Nathalie Jetté
- Icahn School of Medicine at Mount Sinai, Department of Neurology, United States; Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Mount Sinai Health System, New York, NY, United States
| | - Churl-Su Kwon
- Icahn School of Medicine at Mount Sinai, Department of Neurology, United States; Icahn School of Medicine at Mount Sinai, Department of Neurosurgery, United States
| | - Anusha K Yeshokumar
- Icahn School of Medicine at Mount Sinai, Department of Neurology, United States
| | - Mandip S Dhamoon
- Icahn School of Medicine at Mount Sinai, Department of Neurology, United States
| | - Madhu Mazumdar
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Mount Sinai Health System, New York, NY, United States
| | - Parul Agarwal
- Icahn School of Medicine at Mount Sinai, Department of Neurology, United States; Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Mount Sinai Health System, New York, NY, United States
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Owodunni OP, Lau BD, Florecki KL, Webster KLW, Shaffer DL, Hobson DB, Kraus PS, Holzmueller CG, Canner JK, Streiff MB, Haut ER. Systematic Undercoding of Diagnostic Procedures in National Inpatient Sample (NIS): A Threat to Validity Due to Surveillance Bias. Qual Manag Health Care 2021; 30:226-232. [PMID: 34232138 DOI: 10.1097/qmh.0000000000000297] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND OBJECTIVES Health services research often relies on readily available data, originally collected for administrative purposes and used for public reporting and pay-for-performance initiatives. We examined the prevalence of underreporting of diagnostic procedures for acute myocardial infarction (AMI), deep venous thrombosis (DVT), and pulmonary embolism (PE), used for public reporting and pay-for-performance initiatives. METHOD We retrospectively identified procedures for AMI, DVT, and PE in the National Inpatient Sample (NIS) database between 2012 and 2016. From January 1, 2012, through September 30, 2015, the NIS used the International Classification of Diseases, Ninth Revision (ICD-9) coding scheme. From October 1, 2015, through December 31, 2016, the NIS used the International Classification of Diseases, Tenth Revision (ICD-10) coding scheme. We grouped the data by ICD code definitions (ICD-9 or ICD-10) to reflect these code changes and to prevent any confounding or misclassification. In addition, we used survey weighting to examine the utilization of venous duplex ultrasound scan for DVT, electrocardiogram (ECG) for AMI, and chest computed tomography (CT) scan, pulmonary angiography, echocardiography, and nuclear medicine ventilation/perfusion () scan for PE. RESULTS In the ICD-9 period, by primary diagnosis, only 0.26% (n = 5930) of patients with reported AMI had an ECG. Just 2.13% (n = 7455) of patients with reported DVT had a peripheral vascular ultrasound scan. For patients with PE diagnosis, 1.92% (n = 12 885) had pulmonary angiography, 3.92% (n = 26 325) had CT scan, 5.31% (n = 35 645) had cardiac ultrasound scan, and 0.45% (n = 3025) had scan. In the ICD-10 period, by primary diagnosis, 0.04% (n = 345) of reported AMI events had an ECG and 0.91% (n = 920) of DVT events had a peripheral vascular ultrasound scan. For patients with PE diagnosis, 2.08% (n = 4805) had pulmonary angiography, 0.63% (n = 1460) had CT scan, 1.68% (n = 3890) had cardiac ultrasound scan, and 0.06% (n = 140) had scan. Small proportions of diagnostic procedures were observed for any diagnoses of AMI, DVT, or PE. CONCLUSIONS Our findings question the validity of using NIS and other administrative databases for health services and outcomes research that rely on certain diagnostic procedures. Unfortunately, the NIS does not provide granular data that can control for differences in diagnostic procedure use, which can lead to surveillance bias. Researchers and policy makers must understand and acknowledge the limitations inherent in these databases, when used for pay-for-performance initiatives and hospital benchmarking.
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Affiliation(s)
- Oluwafemi P Owodunni
- Division of Acute Care Surgery, Department of Surgery (Drs Owodunni, Florecki, Webster, and Haut and Ms Holzmueller), Department of Surgery (Mss Shaffer and Hobson), Department of Anesthesiology and Critical Care Medicine (Dr Haut), and Department of Emergency Medicine (Dr Haut), The Johns Hopkins Surgery Center for Outcomes Research, Baltimore, Maryland (Mr Canner); Division of Hematology, Department of Medicine (Dr Streiff), Russell H. Morgan Department of Radiology and Radiological Science (Mr Lau), and Division of Health Sciences Informatics (Mr Lau), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Departments of Nursing (Mss Shaffer and Hobson) and Pharmacy (Dr Kraus), The Johns Hopkins Hospital, Baltimore, Maryland; The Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland (Drs Haut and Streiff, Mss Hobson and Holzmueller, and Mr Lau); and Department of Health Policy and Management, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (Dr Haut and Mr Lau)
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Banco D, Dodson JA, Berger JS, Smilowitz NR. Perioperative cardiovascular outcomes among older adults undergoing in-hospital noncardiac surgery. J Am Geriatr Soc 2021; 69:2821-2830. [PMID: 34176124 DOI: 10.1111/jgs.17320] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/17/2021] [Accepted: 05/21/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Older adults undergoing noncardiac surgery have a high risk of major adverse cardiovascular events (MACE). This study aims to estimate the magnitude of increased perioperative risk, and examine national trends in perioperative MACE following in-hospital noncardiac surgery in older adults compared to middle-aged adults. DESIGN Time-series analysis of retrospective longitudinal data. SETTING The United States Agency for Healthcare Research and Quality National Inpatient Sample (NIS). PARTICIPANTS Hospitalizations for major noncardiac surgery among adults age ≥45 years between January 2004 and December 2014. MEASUREMENTS Inpatient perioperative MACE was defined as a composite of in-hospital death, myocardial infarction (MI), and ischemic stroke. In hospital death was determined from the NIS discharge disposition. MI and ischemic stroke were defined by International Classification of Diseases, Ninth Revision codes. RESULTS Of an estimated 55,349,978 surgical hospitalizations, 26,423,039 (47.7%) were for adults age 45-64, 14,231,386 (25.7%) age 65-74, 10,621,029 (19.2%) age 75-84 years, and 4,074,523 (7.4%) age ≥85 years. MACE occurred in 1,601,022 surgical hospitalizations (2.9%). Adults 65-74 (2.8%; aOR 1.16, 95% CI 1.14-1.17), 75-84 years (4.5%; aOR 1.30, 95% CI 1.28-1.32), and ≥85 years (6.9%; aOR 1.55, 95% CI 1.52-1.57) had greater risk of MACE than those 45-64 years (1.7%). From 2004 to 2014, MACE declined among adults 65-74 (3.1-2.5%, p < 0.001), 75-85 years (4.9-3.9%, p < 0.001), and ≥85 years (7.7-6.1%, p < 0.001), but was unchanged for adults age 45-64. Declines in MACE were driven by decreased MI and mortality despite increased stroke. CONCLUSION Older adults accounted for half of hospitalizations, but experienced the majority of MACE. Older adults had greater adjusted odds of MACE than younger individuals. The proportion of perioperative MACE declined over time, despite increases in ischemic stroke. These data highlight risks of noncardiac surgery in older adults that warrant increased attention to improve perioperative outcomes.
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Affiliation(s)
- Darcy Banco
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, New York, USA
| | - John A Dodson
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, New York, USA.,Division of Healthcare Delivery Science, Department of Population Health, New York University School of Medicine, New York, New York, USA
| | - Jeffrey S Berger
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, New York, USA.,Department of Surgery, New York University School of Medicine, New York, New York, USA
| | - Nathaniel R Smilowitz
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, New York, USA.,Division of Cardiology, Department of Medicine, Veterans Affairs New York Harbor Health Care System, New York, New York, USA
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Wu A, Burrowes S, Zisman E, Brown TT, Bagchi S. Association of hepatitis C infection and acute coronary syndrome: A case-control study. Medicine (Baltimore) 2021; 100:e26033. [PMID: 34032724 PMCID: PMC8154507 DOI: 10.1097/md.0000000000026033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/30/2021] [Accepted: 05/03/2021] [Indexed: 01/04/2023] Open
Abstract
ABSTRACT Infections with hepatitis C virus (HCV) represent a substantial national and international public health burden. HCV has been associated with numerous extrahepatic conditions and can lead to metabolic derangements that are associated with atherosclerosis and cardiovascular disease. We investigated whether HCV infection is associated with an increased number of acute coronary syndrome (ACS) events among hospitalized patients in an inner-city tertiary hospital.We performed a matched (age, sex, and race/ethnicity) case-control study on patients at least 18 years old admitted to inpatient medical and cardiac services at the University of Maryland Medical Center from 2015 through 2018. The primary outcome was ACS and the primary exposure was HCV infection. Covariates of interest included: alcohol use, tobacco use, illicit drug use, hypertension, diabetes mellitus, human immunodeficiency virus infection, body mass index, dyslipidemia, and family history of coronary heart disease. Covariates with significant associations with both exposure and outcome in bivariate analyses were included in the multivariable analyses of the final adjusted model.There were 1555 cases and 3110 controls included in the final sample. Almost 2% of cases and 2.4% of controls were HCV infected. In adjusted models, there was no significant association found between experiencing an ACS event in those with HCV infection compared to those without HCV infection (odds ratio 0.71, 95% confidence interval 0.45-1.11).We found no significant association between HCV infection and ACS in our study population. However, given the mixed existing literature, the association between HCV and ACS warrants further investigation in future prospective cohort and/or interventional studies.
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Affiliation(s)
- Angela Wu
- University of Maryland School of Medicine, Baltimore, MD
| | - Shana Burrowes
- Section of Infectious Diseases, Boston University School of Medicine, Boston, MA
| | - Erin Zisman
- University of Maryland School of Medicine, Baltimore, MD
| | - Todd Tarquin Brown
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University
| | - Shashwatee Bagchi
- Section of Infectious Diseases, University of Maryland School of Medicine
- Institute of Human Virology, University of Maryland School of Medicine
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Troke N, Logar‐Henderson C, DeBono N, Dakouo M, Hussain S, MacLeod JS, Demers PA. Incidence of acute myocardial infarction in the workforce: Findings from the Occupational Disease Surveillance System. Am J Ind Med 2021; 64:338-357. [PMID: 33682182 DOI: 10.1002/ajim.23241] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/30/2021] [Accepted: 02/15/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND Increased risks of acute myocardial infarction (AMI) may be attributable to the workplace, however, associations are not well-established. Using the Occupational Disease Surveillance System (ODSS), we sought to estimate associations between occupation and industry of employment and AMI risk among workers in Ontario, Canada. METHODS The study population was derived by linking provincial accepted lost-time workers' compensation claims data, to inpatient hospitalization records. Workers aged 15-65 years with an accepted non-AMI compensation claim were followed for an AMI event between 2007 and 2016. Adjusted Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for each industry and occupation group, compared to all other workers in the cohort. Sex-stratified analyses were also performed. RESULTS In all, 24,514 incident cases of AMI were identified among 1,502,072 Ontario workers. Increased incidence rates of AMI were found across forestry (HR 1.37, 95% CI 1.19-1.58) and wood processing (HR 1.50, 1.27-1.77) job-titles. Elevated rates were also detected within industries and occupations both broadly related to mining and quarrying (HR 1.52, 1.17-1.97), trucking (HR 1.32, 1.27-1.38), construction (HR 1.32, 1.14-1.54), and the manufacturing and processing of metal (HR 1.41, 1.19-1.68), textile (HR 1.41, 1.07-1.88), non-metallic mineral (HR 1.30, 0.82-2.07), and rubber and plastic (HR 1.42, 1.27-1.60) products. Female food service workers also had elevated AMI rates (HR 1.36, 1.23-1.51). CONCLUSION This study found occupational variation in AMI incidence. Future studies should examine work-related hazards possibly contributing to such excess risks, like noise, vibration, occupational physical activity, shift work, and chemical and particulate exposures.
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Affiliation(s)
- Natalie Troke
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
- Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
| | - Chloë Logar‐Henderson
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
| | - Nathan DeBono
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
- Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
| | - Mamadou Dakouo
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
| | - Selena Hussain
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
- Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
| | - Jill S. MacLeod
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
| | - Paul A. Demers
- Occupational Cancer Research Centre Ontario Health (Cancer Care Ontario Division) Toronto Ontario Canada
- Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
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25
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Beyrer J, Manjelievskaia J, Bonafede M, Lenhart G, Nolot S, Haldane D, Johnston J. Validation of an International Classification of Disease, 10th revision coding adaptation for the Charlson Comorbidity Index in United States healthcare claims data. Pharmacoepidemiol Drug Saf 2021; 30:582-593. [PMID: 33580525 PMCID: PMC8252530 DOI: 10.1002/pds.5204] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 02/08/2021] [Indexed: 01/12/2023]
Abstract
PURPOSE An International Classification of Disease (ICD-10) Charlson Comorbidity Index (CCI) adaptation had not been previously developed and validated for United States (US) healthcare claims data. Many researchers use the Canadian adaption by Quan et al (2005), not validated in US data. We sought to evaluate the predictive validity of a US ICD-10 CCI adaptation in US claims and compare it with the Canadian standard. METHODS Diverse patient cohorts (rheumatoid arthritis, hip/knee replacement, lumbar spine surgery, acute myocardial infarction [AMI], stroke, pneumonia) in the IBM® MarketScan® Research Databases were linked with the IBM MarketScan Mortality file. Predictive performance was measured using c-statistics for binary outcomes (1-year and postoperative mortality, in-hospital complications) and root mean square prediction error (RMSE) for continuous outcomes (1-year all-cause medical costs, index hospitalization costs, length of stay [LOS]), after adjusting for age and sex. C-statistics were compared by the method of DeLong and colleagues (1988); RMSEs, by resampling. RESULTS C-statistics were generally high (≥ ~ 0.8) for mortality but lower for in-hospital complications (~0.6-0.7). RMSEs for costs and hospitalization LOS were relatively large and comparable to standard deviations. Results were similar overall between the US and Canadian adaptations, with relative differences typically <1%. CONCLUSIONS This US-based coding adaptation and a previously published Canadian adaptation resulted in similar predictive ability for all outcomes evaluated but may have different construct validity (not evaluated in our study). We recommend using adaptations specific to the country of data origin based on good research practice.
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Affiliation(s)
- Julie Beyrer
- Global Patient Outcomes and Real World EvidenceEli Lilly and CompanyIndianapolisIndianaUSA
| | | | | | - Gregory Lenhart
- IBM's Life SciencesIBM Watson HealthCambridgeMassachusettsUSA
| | - Sandra Nolot
- Global Patient Outcomes and Real World EvidenceEli Lilly and CompanyIndianapolisIndianaUSA
| | - Diane Haldane
- Global Patient Outcomes and Real World EvidenceEli Lilly and CompanyIndianapolisIndianaUSA
| | - Joseph Johnston
- Global Patient Outcomes and Real World EvidenceEli Lilly and CompanyIndianapolisIndianaUSA
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Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably. J Clin Epidemiol 2021; 133:43-52. [PMID: 33359319 DOI: 10.1016/j.jclinepi.2020.12.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/18/2020] [Accepted: 12/15/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The objective of the study was to compare the performance of logistic regression and boosted trees for predicting patient mortality from large sets of diagnosis codes in electronic healthcare records. STUDY DESIGN AND SETTING We analyzed national hospital records and official death records for patients with myocardial infarction (n = 200,119), hip fracture (n = 169,646), or colorectal cancer surgery (n = 56,515) in England in 2015-2017. One-year mortality was predicted from patient age, sex, and socioeconomic status, and 202 to 257 International Classification of Diseases 10th Revision codes recorded in the preceding year or not (binary predictors). Performance measures included the c-statistic, scaled Brier score, and several measures of calibration. RESULTS One-year mortality was 17.2% (34,520) after myocardial infarction, 27.2% (46,115) after hip fracture, and 9.3% (5,273) after colorectal surgery. Optimism-adjusted c-statistics for the logistic regression models were 0.884 (95% confidence interval [CI]: 0.882, 0.886), 0.798 (0.796, 0.800), and 0.811 (0.805, 0.817). The equivalent c-statistics for the boosted tree models were 0.891 (95% CI: 0.889, 0.892), 0.804 (0.802, 0.806), and 0.803 (0.797, 0.809). Model performance was also similar when measured using scaled Brier scores. All models were well calibrated overall. CONCLUSION In large datasets of electronic healthcare records, logistic regression and boosted tree models of numerous diagnosis codes predicted patient mortality comparably.
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Cowling TE, Cromwell DA, Sharples LD, van der Meulen J. A novel approach selected small sets of diagnosis codes with high prediction performance in large healthcare datasets. J Clin Epidemiol 2020; 128:20-28. [DOI: 10.1016/j.jclinepi.2020.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/15/2020] [Accepted: 08/05/2020] [Indexed: 12/23/2022]
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Wang JI, Lu DY, Mhs, Feldman DN, McCullough SA, Goyal P, Karas MG, Sobol I, Horn EM, Kim LK, Krishnan U. Outcomes of Hospitalizations for Cardiogenic Shock at Left Ventricular Assist Device Versus Non-Left Ventricular Assist Device Centers. J Am Heart Assoc 2020; 9:e017326. [PMID: 33222608 PMCID: PMC7763759 DOI: 10.1161/jaha.120.017326] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Cardiogenic shock (CS) is a complex syndrome associated with high morbidity and mortality. In recent years, many US hospitals have formed multidisciplinary shock teams capable of rapid diagnosis and triage. Because of preexisting collaborative systems of care, hospitals with left ventricular assist device (LVAD) programs may also represent "centers of excellence" for CS care. However, the outcomes of patients with CS at LVAD centers have not been previously evaluated. Methods and Results Patients with CS were identified in the 2012 to 2014 National Inpatient Sample. Clinical characteristics, revascularization rates, and use of mechanical circulatory support were analyzed in LVAD versus non-LVAD centers. The association between hospital type and in-hospital mortality was examined using multivariable logistic regression models. Of 272 075 hospitalizations, 26.0% were in LVAD centers. CS attributable to causes other than acute myocardial infarction represented most cases. In-hospital mortality was lower in LVAD centers (38.9% versus 43.3%; P<0.001). In multivariable analysis, the odds of mortality remained significantly lower for hospitalizations in LVAD centers (odds ratio, 0.89; P<0.001). In patients with CS secondary to acute myocardial infarction, revascularization rates were similar between LVAD and non-LVAD centers. The use of intra-aortic balloon pump (18.7% versus 18.8%) and Impella/TandemHeart (2.6% versus 1.9%) was similar between hospital types, whereas extracorporeal membrane oxygenation was used more frequently in LVAD centers (4.3% versus 0.2%; P<0.001). Conclusions Risk-adjusted mortality was lower in patients with CS who were hospitalized at LVAD centers. These centers likely represent specialized, shock team capable institutions across the country that may be best suited to manage patients with CS.
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Affiliation(s)
- Joseph I Wang
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Daniel Y Lu
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Mhs
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Dmitriy N Feldman
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Stephen A McCullough
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Parag Goyal
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Maria G Karas
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Irina Sobol
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Evelyn M Horn
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Luke K Kim
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
| | - Udhay Krishnan
- Division of Cardiology Weill Cornell Medical College New York Presbyterian Hospital New York NY
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Ramage K, Grabowska K, Silversides C, Quan H, Metcalfe A. Maternal, pregnancy, and neonatal outcomes for women with Marfan syndrome. Birth Defects Res 2020; 112:1802-1808. [PMID: 33118709 DOI: 10.1002/bdr2.1829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/21/2020] [Accepted: 10/12/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND Marfan syndrome (MFS) is an autosomal dominant hereditary disorder which affects cardiovascular structure and function. With medical advances, more women with MFS experience pregnancy, which may increase maternal and neonatal risk. Existing research has been limited by small or clinical samples. This study examines the association of MFS and adverse maternal, neonatal, and obstetric outcomes. METHODS We conducted a cross-sectional study using the discharge abstract database, containing all labor and delivery hospitalizations in Canada (excluding Quebec) from fiscal years 2004-2015 where women delivered a live- or stillbirth. We measured maternal and neonatal morbidity, preterm births (<37 weeks), small-for-gestational-age births, perinatal mortality, and adverse maternal cardiovascular events. For each outcome, we calculated the absolute risk for women with and without MFS and used generalized estimating equations with a logit function to calculate odds. RESULTS Overall, 2,682,461 women delivered a live or stillborn infant in Canada during the study period, with 135 birth events to women with MFS. Women with MFS did not have significantly higher odds of severe maternal morbidity during their delivery (aOR:1.3; 95%CI: 0.4-4.0). Similarly, their infants did not have significantly higher odds of neonatal morbidity. However, infants born to women with MFS were significantly more likely to be born preterm (aOR:2.6; 95%CI: 1.6-4.3) and to be small-for-gestational-age (aOR:1.8; 95%CI:1.0-3.1). CONCLUSIONS This population-based study indicates that, although some women with MFS may experience higher odds of maternal and/or neonatal morbidity during labor and delivery, the majority of women with MFS can have healthy births with proper clinical management.
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Affiliation(s)
- Kaylee Ramage
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Kirsten Grabowska
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Hude Quan
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Amy Metcalfe
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Obstetrics & Gynaecology, University of Calgary, Calgary, Alberta, Canada
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Ghanshani S, Chen C, Lin B, Duan L, Shen YJA, Lee MS. Risk of Acute Myocardial Infarction, Heart Failure, and Death in Migraine Patients Treated with Triptans. Headache 2020; 60:2166-2175. [PMID: 33017476 DOI: 10.1111/head.13959] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 08/19/2020] [Accepted: 08/20/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The goal of this study is to determine the strength of association between treatment with triptans and acute myocardial infarction, heart failure, and death. BACKGROUND Case reports in the literature have raised concerns over an association between treatment of migraine headaches with triptans and cardiovascular events. This study aims to systematically evaluate this association in a contemporary population-based cohort. We hypothesized that triptan exposure is not associated with increased cardiovascular events. METHODS A retrospective cohort study was conducted within an integrated healthcare delivery system in Southern California. From January 2009 to December 2018, 189,684 patients age ≥18 years had a diagnosis of migraine. In this group, 130,656 were exposed to triptans. Patients treated with triptans were matched 1:1 to those not exposed to triptans by using a propensity score. The primary outcome was acute myocardial infarction; secondary outcomes were heart failure, all-cause death, and combined acute myocardial infarction, heart failure, and death. RESULTS The incidence rate of acute myocardial infarction was 0.67 per 1000 person-year in triptan-exposed vs 1.44 per 1000 person-year in not exposed patients. In propensity-matched analyses, the adjusted hazard ratio for triptan exposure was 0.95 (95% confidence interval [CI] 0.84-1.08) for acute myocardial infarction; 1.00 (95% CI 0.93-1.08) for all-cause death; 0.93 (95% CI 0.81-1.08) for heart failure; and 0.99 (95% CI 0.93-1.06) for a composite of acute myocardial infarction, heart failure, or death. Sensitivity analyses focusing on stratified subgroups based on age, gender, ethnicity, and several cardiac risk factors also revealed no significant association between triptan exposure and cardiovascular events. CONCLUSIONS No association was found between exposure to triptans and an increased risk of cardiovascular events. These data provide reassurance regarding the cardiovascular safety of utilizing triptans for the medical management of migraine headaches.
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Affiliation(s)
- Serena Ghanshani
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Cheng Chen
- Department of Cardiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA
| | - Bryan Lin
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Lewei Duan
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Yuh-Jer Albert Shen
- Department of Cardiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA
| | - Ming-Sum Lee
- Department of Cardiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA
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Ramage K, Grabowska K, Silversides C, Quan H, Metcalfe A. Maternal, pregnancy, and neonatal outcomes for women with Turner syndrome. Birth Defects Res 2020; 112:1067-1073. [PMID: 32524771 DOI: 10.1002/bdr2.1739] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 04/17/2020] [Accepted: 05/18/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND Turner syndrome (TS) occurs in approximately 1 in 2500 live female births and is caused by the partial or complete loss of one of the X chromosomes, resulting in abnormalities such as ovarian failure and infertility. However, pregnancy in women with TS may still occur via spontaneous pregnancy or through oocyte donation. Limited data exists on pregnancy in women with TS that could aid in clinical care. METHODS We conducted a population-based cross-sectional study using data from the Discharge Abstract Database (2004-2015), which contains all labor and delivery hospitalizations across Canada (excluding Quebec) where women delivered a live or stillborn infant. The odds of adverse maternal and neonatal outcomes for women with and without TS were calculated using backwards multivariable logistic regression with generalized estimating equations, adjusting for the Obstetric Comorbidity Index, mode of delivery, and year. RESULTS Overall, 2,682,284 women delivered a live or stillborn infant during the study period and 44 birth events occurred for women with TS. No severe maternal morbidity or adverse cardiovascular events occurred for women with TS at their labor and delivery hospitalization. However, infants born to women with TS were 3.6 times more likely (95% CI: 1.7-7.8) to experience neonatal morbidity than those born to women without TS. These infants also were more likely to have had a preterm birth (aOR: 2.9, 95% CI: 1.6-5.4) and to be small-for-gestational-age (aOR: 4.5, 95% CI: 2.4-8.4). CONCLUSION This study adds further understanding of the likelihood of adverse outcomes for pregnant women with TS.
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Affiliation(s)
- Kaylee Ramage
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Kirsten Grabowska
- Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Hude Quan
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Amy Metcalfe
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Department of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Obstetrics & Gynaecology, University of Calgary, Calgary, Alberta, Canada
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Piccard M, Roussot A, Cottenet J, Cottin Y, Zeller M, Quantin C. Spatial distribution of in- and out-of-hospital mortality one year after acute myocardial infarction in France. Am J Prev Cardiol 2020; 2:100037. [PMID: 34327460 PMCID: PMC8315588 DOI: 10.1016/j.ajpc.2020.100037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 06/18/2020] [Accepted: 06/19/2020] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE To describe the spatial distribution of acute myocardial infarction (AMI) mortality in France in association with the socio-economic characteristics of the patient's place of residence. METHODS In this population-based study, we included patients hospitalized for AMI identified according to ICD-10 codes, using data from the national health insurance database from January 1, 2013 to December 31, 2014. In- and out-of-hospital deaths were identified over a period of 1 year following the first hospital stay for AMI.An exploratory analysis was performed to classify area profiles. The spatial analysis of AMI mortality was performed using a principal component analysis followed by an ascending hierarchical classification taking into account socio-economic data, access-time by road to coronary angiography, standardized in-hospital prevalence, and 1 year mortality. RESULTS Over the 2 years, 115,418 patients were hospitalized with a diagnosis of AMI. Patients were a mean of 68 ± 15 years and most were men (68.5%). The overall mortality rate was 12.2% after 1 year. More than half of patients (65.5%) underwent an early revascularization procedure. The map of standardized 1 year mortality showed a geographic area of high mortality extending diagonally from north-east to south-west France. We identified 6 different area profiles with standardized mortality varying from 15.9 to 54.4 per 100,000 inhabitants. The spatial distribution of higher mortality was associated with lower socioeconomic levels. These findings were not associated with a lower access to coronary angiography. CONCLUSION There are considerable geographical differences in the prevalence of AMI and 1 year mortality. The spatial distribution of lower healthcare indicators follows the distribution of social inequalities. This study highlights the importance of focusing national policies on universally accessible prevention programs such as the promotion cardiac rehabilitation and healthy lifestyles.
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Affiliation(s)
- Mickael Piccard
- Biostatistics and Bioinformatics (DIM), University Hospital, Dijon, France
- Bourgogne Franche-Comté University, Dijon, France
| | - Adrien Roussot
- Biostatistics and Bioinformatics (DIM), University Hospital, Dijon, France
- Bourgogne Franche-Comté University, Dijon, France
| | - Jonathan Cottenet
- Biostatistics and Bioinformatics (DIM), University Hospital, Dijon, France
- Bourgogne Franche-Comté University, Dijon, France
| | - Yves Cottin
- Department of Cardiology, University Hospital, Dijon, France
- Pathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases Research Team (PEC2, EA 7460), University of Bourgogne - Franche-Comté, Faculty of Health Sciences, 7 Boulevard Jeanne D’Arc, 21079, Dijon, France
| | - Marianne Zeller
- Department of Cardiology, University Hospital, Dijon, France
- Pathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases Research Team (PEC2, EA 7460), University of Bourgogne - Franche-Comté, Faculty of Health Sciences, 7 Boulevard Jeanne D’Arc, 21079, Dijon, France
| | - Catherine Quantin
- Biostatistics and Bioinformatics (DIM), University Hospital, Dijon, France
- Bourgogne Franche-Comté University, Dijon, France
- Inserm, CIC 1432, Dijon University Hospital, Clinical Investigation Center, Clinical Epidemiology/ Clinical Trials Unit, Dijon, France
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France
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Elharram M, Moura CS, Abrahamowicz M, Bernatsky S, Behlouli H, Raparelli V, Pilote L. Novel glucose lowering agents are associated with a lower risk of cardiovascular and adverse events in type 2 diabetes: A population based analysis. Int J Cardiol 2020; 310:147-154. [PMID: 32303419 DOI: 10.1016/j.ijcard.2020.03.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 02/22/2020] [Accepted: 03/09/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Recent randomized control trials have described a protective cardiovascular effect of novel glucose lowering drugs in patients at high cardiovascular risk. Whether these second-line agents have similar effects in the general population is unknown. We aimed to compare the risk of major cardiovascular and adverse events in new users of sodium-glucose cotransporter-2 inhibitors (SGLT-2i), dipeptidyl peptidase-4 inhibitor (DPP-4i), glucagon-like peptide 1 agonist (GLP-1a), and sulfonylurea in T2DM patients not controlled on metformin therapy. METHODS Retrospective cohort study using the MarketScan database (2011-2015). We selected T2DM individuals who were newly dispensed sulfonylureas, SGLT-2i, DPP-4i, or GLP-1a, as second-line therapy, added to metformin. Cohort entry was defined by date of first prescription of the second-line agent. Time to first non-fatal cardiovascular or adverse event was compared using Cox regression models adjusted for confounders. RESULTS Among 118,341 T2DM patients using metformin (mean age: 56), most were at low cardiovascular risk (4% with previous cardiovascular or cerebrovascular event). During a median follow-up of 10 months compared with sulfonylureas users, cardiovascular risk was lower in users of SGLT-2i (aHR = 0.61; 95% CI: 0.40-0.97), DPP-4i (aHR = 0.79; 95% CI: 0.69-0.90) and GLP-1a (aHR = 0.65; 95% CI: 0.48-0.89). Serious adverse events were rare but compared with sulfonylurea, the risk was lower in new users of novel glucose lowering agents. CONCLUSION In our analyses, which included patients with and without prior cardiovascular disease, initiating novel glucose lowering drugs as second-line therapy for T2DM was associated with a lower risk of cardiovascular and adverse events than sulfonylurea initiation.
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Affiliation(s)
- Malik Elharram
- Department of Experimental Medicine, McGill University, Montreal, Qc, Canada; Research Institute, McGill University Health Centre, Montreal, QC, Canada
| | - Cristiano S Moura
- Research Institute, McGill University Health Centre, Montreal, QC, Canada
| | - Michal Abrahamowicz
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Sasha Bernatsky
- Research Institute, McGill University Health Centre, Montreal, QC, Canada
| | - Hassan Behlouli
- Research Institute, McGill University Health Centre, Montreal, QC, Canada
| | - Valeria Raparelli
- Research Institute, McGill University Health Centre, Montreal, QC, Canada; Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Louise Pilote
- Department of Experimental Medicine, McGill University, Montreal, Qc, Canada; Research Institute, McGill University Health Centre, Montreal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
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Raparelli V, Elharram M, Moura CS, Abrahamowicz M, Bernatsky S, Behlouli H, Pilote L. Sex Differences in Cardiovascular Effectiveness of Newer Glucose-Lowering Drugs Added to Metformin in Type 2 Diabetes Mellitus. J Am Heart Assoc 2020; 9:e012940. [PMID: 31902326 PMCID: PMC6988160 DOI: 10.1161/jaha.119.012940] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Randomized controlled trials showed that newer glucose‐lowering agents are cardioprotective, but most participants were men. It is unknown whether benefits are similar in women. Methods and Results Among adults with type 2 diabetes mellitus not controlled with metformin with no prior use of insulin, we assessed for sex differences in the cardiovascular effectiveness and safety of sodium‐glucose‐like transport‐2 inhibitors (SGLT‐2i), glucagon‐like peptide‐1 receptor agonists (GLP‐1RA), dipeptidyl peptidase‐4 inhibitors, initiated as second‐line agents relative to sulfonylureas (reference‐group). We studied type 2 diabetes mellitus American adults with newly dispensed sulfonylureas, SGLT‐2i, GLP‐1RA, or dipeptidyl peptidase‐4 inhibitors (Marketscan‐Database: 2011–2017). We used multivariable Cox proportional hazards models with time‐varying exposure to compare time to first nonfatal cardiovascular event (myocardial infarction/unstable angina, stroke, and heart failure), and safety outcomes between drugs users, and tested for sex–drug interactions. Among 167 254 type 2 diabetes mellitus metformin users (46% women, median age 59 years, at low cardiovascular risk), during a median 4.5‐year follow‐up, cardiovascular events incidence was lower in women than men (14.7 versus 16.7 per 1000‐person‐year). Compared with sulfonylureas, hazard ratios (HRs) for cardiovascular events were lower with GLP‐1RA (adjusted HR‐women: 0.57, 95% CI: 0.48–0.68; aHR‐men: 0.82, 0.71–0.95), dipeptidyl peptidase‐4 inhibitors (aHR‐women: 0.83, 0.77–0.89; aHR‐men: 0.85, 0.79–0.91) and SGLT‐2i (aHR‐women: 0.58, 0.46–0.74; aHR‐men: 0.69, 0.57–0.83). A sex‐by‐drug interaction was statistically significant only for GLP‐1RA (P=0.002), suggesting greater cardiovascular effectiveness in women. Compared with sulfonylureas, risks of adverse events were similarly lower in both sexes for GLP‐1RA (aHR‐women: 0.81, 0.73–0.89; aHR‐men: 0.80, 0.71–0.89), dipeptidyl peptidase‐4 inhibitors (aHR‐women: 0.82, 0.78–0.87; aHR‐men: 0.83, 0.78–0.87) and SGLT‐2i (aHR‐women: 0.68, 0.59–0.78; aHR‐men: 0.67, 0.59–0.78) (all sex–drug interactions for adverse events P>0.05). Conclusions Newer glucose‐lowering drugs were associated with lower risk of cardiovascular events than sulfonylureas, with greater effectiveness of GLP‐1RA in women than men. Overall, they appeared safe, with a better safety profile for SGLT‐2i than for GLP‐1RA regardless of sex.
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Affiliation(s)
- Valeria Raparelli
- Department of Experimental Medicine Sapienza University of Rome Italy.,Department of Medicine McGill University Montreal QC Canada.,Research Institute McGill University Health Centre Montreal QC Canada
| | - Malik Elharram
- Department of Medicine McGill University Montreal QC Canada.,Division of Experimental Medicine McGill University Montreal QC Canada
| | - Cristiano S Moura
- Research Institute McGill University Health Centre Montreal QC Canada
| | - Michal Abrahamowicz
- Research Institute McGill University Health Centre Montreal QC Canada.,Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal QC Canada
| | - Sasha Bernatsky
- Department of Medicine McGill University Montreal QC Canada.,Research Institute McGill University Health Centre Montreal QC Canada.,Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal QC Canada
| | - Hassan Behlouli
- Research Institute McGill University Health Centre Montreal QC Canada
| | - Louise Pilote
- Department of Medicine McGill University Montreal QC Canada.,Research Institute McGill University Health Centre Montreal QC Canada.,Division of Experimental Medicine McGill University Montreal QC Canada.,Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal QC Canada
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Chehab O, Abdallah N, Kanj A, Pahuja M, Adegbala O, Morsi RZ, Mishra T, Afonso L, Abidov A. Impact of immune thrombocytopenic purpura on clinical outcomes in patients with acute myocardial infarction. Clin Cardiol 2019; 43:50-59. [PMID: 31710764 PMCID: PMC6954382 DOI: 10.1002/clc.23287] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/14/2019] [Accepted: 10/21/2019] [Indexed: 11/29/2022] Open
Abstract
Background Patients with immune thrombocytopenic purpura (ITP) admitted with acute myocardial infarction (AMI) may be challenging to manage given their increased risk of bleeding complications. There is limited evidence in the literature guiding appropriate interventions in this population. The objective of this study is to determine the difference in clinical outcomes in AMI patients with and without ITP. Methods Using the United States national inpatient sample database, adults aged ≥18 years, who were hospitalized between 2007 and 2014 for AMI, were identified. Among those, patients with ITP were selected. A propensity‐matched cohort analysis was performed. The primary outcome was in‐hospital mortality. Secondary outcomes were coronary revascularization procedures, bleeding and cardiovascular complications, and length of stay (LOS). Results The propensity‐matched cohort included 851 ITP and 851 non‐ITP hospitalizations for AMI. There was no difference in mortality between ITP and non‐ITP patients with AMI (6% vs7.3%, OR:0.81; 95% CI:0.55‐1.19; P = .3). When compared to non‐ITP patients, ITP patients with AMI underwent fewer revascularization procedures (40.9% vs 45.9%, OR:0.81; 95% CI:0.67‐0.98; P = .03), but had a higher use of bare metal stents (15.4% vs 11.3%, OR:1.43; 95% CI:1.08‐1.90; P = .01), increased risk of bleeding complications (OR:1.80; CI:1.36‐2.38; P < .0001) and increased length of hospital stay (6.14 vs 5.4 days; mean ratio: 1.14; CI:1.05‐1.23; P = .002). More cardiovascular complications were observed in patients requiring transfusions. Conclusions Patients with ITP admitted for AMI had a similar in‐hospital mortality risk, but a significantly higher risk of bleeding complications and a longer LOS compared to those without ITP. Further studies are needed to assess optimal management strategies of AMI that minimize complications while improving outcomes in this population.
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Affiliation(s)
- Omar Chehab
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Nadine Abdallah
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Amjad Kanj
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Mohit Pahuja
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Oluwole Adegbala
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Rami Z Morsi
- Department of Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Tushar Mishra
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Luis Afonso
- Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Aiden Abidov
- Department of Internal Medicine, Wayne State University, Detroit, Michigan.,Cardiology Section, Department of Internal Medicine, John D. Dingell VA Medical Center, Detroit, Michigan
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Dawwas GK, Dietrich E, Winchester DE, Winterstein AG, Segal R, Park H. Comparative Effectiveness and Safety of Ticagrelor versus Prasugrel in Patients with Acute Coronary Syndrome: A Retrospective Cohort Analysis. Pharmacotherapy 2019; 39:912-920. [DOI: 10.1002/phar.2311] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Ghadeer K. Dawwas
- Department of Biostatistics, Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania
| | - Erich Dietrich
- Department of Pharmacotherapy and Translational Research College of Pharmacy University of Florida Gainesville Florida
| | - David E. Winchester
- Division of Cardiovascular Medicine College of Medicine University of Florida Gainesville Florida
| | - Almut G. Winterstein
- Department of Pharmaceutical Outcomes and Policy College of Pharmacy University of Florida Gainesville Florida
| | - Richard Segal
- Department of Pharmaceutical Outcomes and Policy College of Pharmacy University of Florida Gainesville Florida
| | - Haesuk Park
- Department of Pharmaceutical Outcomes and Policy College of Pharmacy University of Florida Gainesville Florida
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Carr BG, Kilaru AS, Karp DN, Delgado MK, Wiebe DJ. Quality Through Coopetition: An Empiric Approach to Measure Population Outcomes for Emergency Care-Sensitive Conditions. Ann Emerg Med 2019; 72:237-245. [PMID: 29685369 DOI: 10.1016/j.annemergmed.2018.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 01/29/2018] [Accepted: 02/28/2018] [Indexed: 10/28/2022]
Abstract
STUDY OBJECTIVE We develop a novel approach for measuring regional outcomes for emergency care-sensitive conditions. METHODS We used statewide inpatient hospital discharge data from the Pennsylvania Healthcare Cost Containment Council. This cross-sectional, retrospective, population-based analysis used International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes to identify admissions for emergency care-sensitive conditions (ischemic stroke, ST-segment elevation myocardial infarction, out-of-hospital cardiac arrest, severe sepsis, and trauma). We analyzed the origin and destination patterns of patients, grouped hospitals with a hierarchical cluster analysis, and defined boundary shapefiles for emergency care service regions. RESULTS Optimal clustering configurations determined 10 emergency care service regions for Pennsylvania. CONCLUSION We used cluster analysis to empirically identify regional use patterns for emergency conditions requiring a communitywide system response. This method of attribution allows regional performance to be benchmarked and could be used to develop population-based outcome measures after life-threatening illness and injury.
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Affiliation(s)
- Brendan G Carr
- Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
| | - Austin S Kilaru
- Department of Emergency Medicine, Highland Hospital, Oakland, CA
| | - David N Karp
- Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - M Kit Delgado
- Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Douglas J Wiebe
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Adejumo AC, Adejumo KL, Adegbala OM, Enwerem N, Ofosu A, Akanbi O, Fijabi DO, Ogundipe OA, Pani L, Adeboye A. Inferior Outcomes of Patients With Acute Myocardial Infarction and Comorbid Protein‐Energy Malnutrition. JPEN J Parenter Enteral Nutr 2019; 44:454-462. [DOI: 10.1002/jpen.1680] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 06/28/2019] [Indexed: 12/21/2022]
Affiliation(s)
- Adeyinka Charles Adejumo
- Department of MedicineNorth Shore Medical Center Salem Massachusetts USA
- Department of MedicineTufts University Medical School Boston Massachusetts USA
- School of Public HealthUniversity of Massachusetts Lowell Lowell Massachusetts USA
| | | | | | - Ngozi Enwerem
- Division of GastroenterologyDepartment of MedicineUniversity of California San Diego California USA
| | - Andrew Ofosu
- Department of Gastroenterology and HepatologyBrooklyn Hospital Brooklyn New York USA
| | - Olalekan Akanbi
- Division of Hospital MedicineUniversity of Kentucky College of Medicine Lexington Kentucky USA
| | | | | | - Lydie Pani
- Department of MedicineNorth Shore Medical Center Salem Massachusetts USA
- Department of MedicineTufts University Medical School Boston Massachusetts USA
| | - Adedayo Adeboye
- WJB Dorn VAMC Heart and Vascular Institute/USC School of Medicine Columbia South Carolina USA
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A diagnostic accuracy study validating cardiovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project. PLoS One 2019; 14:e0218919. [PMID: 31283787 PMCID: PMC6613689 DOI: 10.1371/journal.pone.0218919] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 06/13/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Administrative healthcare databases are useful and inexpensive tools that can provide a comprehensive assessment of the burden of diseases in terms of major outcomes, such as mortality, hospital readmissions, and use of healthcare resources. However, a crucial issue is the reliability of information gathered. The aim of this study was to validate ICD-9 codes for several major cardiovascular conditions, i.e., acute myocardial infarction (AMI), atrial fibrillation/flutter (AF), and heart failure (HF), in order to use them for epidemiological, outcome, and health services research. METHODS Data from the centralised administrative database of the Umbria Region (890,000 residents, located in Central Italy) were considered. Patients with a first hospital discharge for AMI, AF/flutter, and HF, between 2012 and 2014, were identified using ICD-9-CM codes in primary position. A sample of cases and non-cases was randomly selected, and the corresponding medical charts reviewed by specifically trained investigators. For each disease, case ascertainment was based on all clinical, laboratory, and instrumental examinations available in medical charts. Sensitivity, specificity, and predictive values with 95% confidence intervals (CIs), were calculated. RESULTS We reviewed 458 medical charts, 128 for AMI, 127 for AF/flutter, 127 for HF, and 76 of non-cases for each condition. Diagnostic accuracy measures of the original discharge diagnosis were as follows. AMI: sensitivity 98% (95% CI, 94-100%), specificity 91% (95% CI, 83-97%), positive predictive value (PPV) 95% (95% CI, 89-98%), negative predictive value (NPV) 97% (95% CI, 91-100%). AF/flutter: sensitivity 95% (95% CI, 90-98%), specificity 95% (95% CI, 87-99%), PPV 97% (95% CI, 92-99%), NPV 92% (95% CI, 84-97%). HF: sensitivity 96% (95% CI, 91-99%), specificity 90% (95% CI, 81-96%), PPV 94% (95% CI, 88-97%), NPV 93% (95% CI, 85-98%). CONCLUSION The case ascertainment for AMI, AF and flutter, and HF, showed a high level of accuracy (≥ 90%). The healthcare administrative database of the Umbria Region can be confidently used for epidemiological, outcome, and health services research.
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Tripathi B, Yeh RW, Bavishi CP, Sardar P, Atti V, Mukherjee D, Bashir R, Abbott JD, Giri J, Chatterjee S. Etiologies, trends, and predictors of readmission in ST‐elevation myocardial infarction patients undergoing multivessel percutaneous coronary intervention. Catheter Cardiovasc Interv 2019; 94:905-914. [DOI: 10.1002/ccd.28344] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 05/16/2019] [Indexed: 12/20/2022]
Affiliation(s)
- Byomesh Tripathi
- Division of Cardiology, Banner University Medical CenterUniversity of Arizona Phoenix Arizona
| | - Robert W. Yeh
- Division of Cardiovascular Medicine, Smith Center for Outcomes Research in CardiologyBeth Israel Deaconess Medical Center Boston Massachusetts
| | - Chirag P. Bavishi
- Division of Cardiology, Cardiovascular InstituteWarren Alpert Medical School at Brown University Providence Rhode Island
| | - Partha Sardar
- Division of Cardiology, Cardiovascular InstituteWarren Alpert Medical School at Brown University Providence Rhode Island
| | - Varunsiri Atti
- Department of MedicineMichigan State University East Lansing Michigan
| | - Debabrata Mukherjee
- Division of Cardiology, Texas Tech University Health Sciences Center El Paso Texas
| | - Riyaz Bashir
- Division of CardiologyTemple University Hospital Philadelphia Pennsylvania
| | - Jinnette Dawn Abbott
- Division of Cardiology, Cardiovascular InstituteWarren Alpert Medical School at Brown University Providence Rhode Island
| | - Jay Giri
- Cardiovascular Medicine DivisionHospital of the University of Pennsylvania Philadelphia Pennsylvania
| | - Saurav Chatterjee
- Division of Cardiovascular Medicine, Hoffman Heart Institute, Saint Francis HospitalTeaching Affiliate of the University of Connecticut School of Medicine Hartford Connecticut
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Marrie RA, Garland A, Schaffer SA, Fransoo R, Leung S, Yogendran M, Kingwell E, Tremlett H. Traditional risk factors may not explain increased incidence of myocardial infarction in MS. Neurology 2019; 92:e1624-e1633. [DOI: 10.1212/wnl.0000000000007251] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 11/27/2018] [Indexed: 11/15/2022] Open
Abstract
ObjectiveTo compare the risk of incident acute myocardial infarction (AMI) in the multiple sclerosis (MS) population and a matched population without MS, controlling for traditional vascular risk factors.MethodsWe conducted a retrospective matched cohort study using population-based administrative (health claims) data in 2 Canadian provinces, British Columbia and Manitoba. We identified incident MS cases using a validated case definition. For each case, we identified up to 5 controls without MS matched on age, sex, and region. We compared the incidence of AMI between cohorts using incidence rate ratios (IRR). We used Cox proportional hazards regression to compare the hazard of AMI between cohorts adjusting for sociodemographic factors, diabetes, hypertension, and hyperlipidemia. We pooled the provincial findings using meta-analysis.ResultsWe identified 14,565 persons with MS and 72,825 matched controls. The crude incidence of AMI per 100,000 population was 146.2 (95% confidence interval [CI] 129.0–163.5) in the MS population and 128.8 (95% CI 121.8–135.8) in the matched population. After age standardization, the incidence of AMI was higher in the MS population than in the matched population (IRR 1.18; 95% CI 1.03–1.36). After adjustment, the hazard of AMI was 60% higher in the MS population than in the matched population (hazard ratio 1.63; 95% CI 1.43–1.87).ConclusionThe risk of AMI is elevated in MS, and this risk may not be accounted for by traditional vascular risk factors.
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Doll JA, Hellkamp AS, Thomas L, Fonarow GC, Peterson E, Wang TY. The association of pre- and posthospital medication adherence in myocardial infarction patients. Am Heart J 2019; 208:74-80. [PMID: 30580129 DOI: 10.1016/j.ahj.2018.11.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 11/07/2018] [Indexed: 11/26/2022]
Abstract
BACKGROUND Nonadherence to optimal medical therapy following myocardial infarction (MI) is associated with adverse clinical outcomes such as stent thrombosis, recurrent cardiovascular events, and death. Whether adherence to medications prior to MI predicts post-MI medication adherence is unknown. METHODS We assessed adherence to P2Y12 inhibitors and statins before and after admission for MI among 8,147 MI patients who had Medicare insurance with Part D prescription coverage. Adherence was defined as a proportion of days covered with medication fills ≥80%. Multivariable logistic regression was used to assess the association between pre- and post-MI P2Y12 inhibitor adherence. As few patients were on P2Y12 inhibitors pre-MI, we also examined the association of pre-MI statin adherence with post-MI P2Y12 inhibitor and statin adherence. RESULTS Pre-MI medication nonadherence was observed in 427 of 2,633 (16%) patients on preadmission P2Y12 inhibitors and 1,233 of 6,934 (18%) patients on preadmission statins. Nonadherent patients were more likely to be of nonwhite race and have multiple prior hospital admissions. Patients who were nonadherent to P2Y12 inhibitors pre-MI were substantially less likely to adhere to P2Y12 inhibitors at 90 days (adjusted odds ratio [OR] 0.33, 95% CI 0.25-0.43) and 1 year post-MI (adjusted OR 0.29, 95% CI 0.21-0.39) compared with patients who were adherent pre-MI. Pre-MI statin nonadherence was also associated with lower post-MI adherence to P2Y12 inhibitors at 90 days (adjusted OR 0.65, 95% CI 0.53-0.79) and 1 year (adjusted OR 0.37, 95% CI 0.29-0.54). CONCLUSIONS Prior medication adherence predicts post-MI adherence to P2Y12 inhibitors. Increasing accessibility of medication adherence data in the medical record may be an important tool to identify patients at higher risk for post-MI medication nonadherence and target efforts to improve adherence.
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Hira RS, Kataruka A, Akeroyd JM, Ramsey DJ, Pokharel Y, Gurm HS, Nasir K, Deswal A, Jneid H, Alam M, Ballantyne CM, Petersen LA, Virani SS. Association of Body Mass Index With Risk Factor Optimization and Guideline-Directed Medical Therapy in US Veterans With Cardiovascular Disease. Circ Cardiovasc Qual Outcomes 2019; 12:e004817. [PMID: 30636483 DOI: 10.1161/circoutcomes.118.004817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Obesity is a growing epidemic that has been linked to the development of cardiovascular disease (CVD). Guideline-directed medications for secondary prevention and risk factor control are recommended for patients with all forms of CVD. The association of body mass index (BMI) with use of medications for secondary prevention and risk factor control in patients with CVD are poorly understood. METHODS AND RESULTS We identified 1 122 567 patients with CVD receiving care in 130 Veterans Affairs facilities from October 1, 2013, to September 30, 2014. Five groups were stratified by BMI-underweight (BMI, <18.5 kg/m2), normal (BMI, 18.5-24.9 kg/m2), overweight (BMI, 25-29.9 kg/m2), obese (BMI, 30-39.9 kg/m2), and extremely obese (BMI, ≥40 kg/m2). A composite of 4 measures-blood pressure <140/90 mm Hg, hemoglobin A1c ≤9% in diabetic patients, statin use, and antiplatelet use-termed optimal medial therapy (OMT) was compared among groups. Multivariable logistic regression was performed with normal BMI as the referent category. Underweight patients comprised 12 623 (1.1%), normal BMI 230 471 (20.5%), overweight 413 590 (36.8%), obese 404 105 (36%), and extremely obese 61 778 (5.5%) of the cohort. Only 43.7% of the entire cohort received OMT, and this was the highest in the overweight group. Adjusted odds ratios for receiving OMT were 0.81 (95% CI, 0.77-0.85), 1.11 (95% CI, 1.10-1.13), 1.08 (95% CI, 1.06-1.09), and 0.87 (95% CI, 0.85-0.89), for patients who were underweight, overweight, obese, and extremely obese, respectively, compared with normal BMI. CONCLUSIONS OMT was low in the entire cohort. There is an inverse U-shaped relationship between OMT and BMI with patients who are underweight and extremely obese less likely to receive OMT compared with patients with normal BMI.
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Affiliation(s)
- Ravi S Hira
- University of Washington, Seattle (R.S.H., A.K.)
| | | | - Julia M Akeroyd
- Health Policy, Quality and Informatics Program, Michael E. DeBakey Veteran Affairs Medical Center Health Services Research and Development Center for Innovations, Houston, TX (J.M.A., L.A.P., S.S.V.)
| | - David J Ramsey
- Section of Health Services Research, Department of Medicine (D.J.R., L.A.P., S.S.V.), Baylor College of Medicine, Houston, TX
| | - Yashashwi Pokharel
- Section of Cardiovascular Research, Department of Medicine, Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City (Y.P.)
| | | | | | - Anita Deswal
- Michael E. DeBakey VA Medical Center, Houston, TX (A.D., H.J., L.A.P., S.S.V.).,Baylor College of Medicine, Houston, TX (A.D., H.J., M.A., C.M.B., L.A.P., S.S.V.)
| | - Hani Jneid
- Michael E. DeBakey VA Medical Center, Houston, TX (A.D., H.J., L.A.P., S.S.V.).,Baylor College of Medicine, Houston, TX (A.D., H.J., M.A., C.M.B., L.A.P., S.S.V.)
| | - Mahboob Alam
- Baylor College of Medicine, Houston, TX (A.D., H.J., M.A., C.M.B., L.A.P., S.S.V.)
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine (C.M.B.), Baylor College of Medicine, Houston, TX.,Baylor College of Medicine, Houston, TX (A.D., H.J., M.A., C.M.B., L.A.P., S.S.V.).,Center for Cardiovascular Prevention, Methodist DeBakey Heart and Vascular Center, Houston, TX (C.M.B.)
| | - Laura A Petersen
- Health Policy, Quality and Informatics Program, Michael E. DeBakey Veteran Affairs Medical Center Health Services Research and Development Center for Innovations, Houston, TX (J.M.A., L.A.P., S.S.V.).,Section of Health Services Research, Department of Medicine (D.J.R., L.A.P., S.S.V.), Baylor College of Medicine, Houston, TX.,Michael E. DeBakey VA Medical Center, Houston, TX (A.D., H.J., L.A.P., S.S.V.).,Baylor College of Medicine, Houston, TX (A.D., H.J., M.A., C.M.B., L.A.P., S.S.V.)
| | - Salim S Virani
- Health Policy, Quality and Informatics Program, Michael E. DeBakey Veteran Affairs Medical Center Health Services Research and Development Center for Innovations, Houston, TX (J.M.A., L.A.P., S.S.V.).,Section of Health Services Research, Department of Medicine (D.J.R., L.A.P., S.S.V.), Baylor College of Medicine, Houston, TX.,Michael E. DeBakey VA Medical Center, Houston, TX (A.D., H.J., L.A.P., S.S.V.).,Baylor College of Medicine, Houston, TX (A.D., H.J., M.A., C.M.B., L.A.P., S.S.V.)
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Bradley SM, Borgerding JA, Wood GB, Maynard C, Fihn SD. Incidence, Risk Factors, and Outcomes Associated With In-Hospital Acute Myocardial Infarction. JAMA Netw Open 2019; 2:e187348. [PMID: 30657538 PMCID: PMC6484558 DOI: 10.1001/jamanetworkopen.2018.7348] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
IMPORTANCE Studies of acute myocardial infarction (AMI) occurring outside the hospital have informed approaches to addressing risk, treatment, and patient outcomes. Similar insights for in-hospital AMI are lacking. OBJECTIVE To determine the incidence, risk factors, and outcomes associated with in-hospital AMI. DESIGN, SETTING, AND PARTICIPANTS Cohort, nested case-control, and matched cohort study of patients hospitalized in US Veterans Health Administration facilities between July 2007 and September 2009. The incidence of in-hospital AMI was determined from a complete cohort of in-hospital AMI relative to the total number of inpatient admissions. From the in-hospital AMI cohort, detailed medical record review was performed on 687 cases and 687 individually matched controls. Risk factors and outcomes associated with in-hospital AMI were determined from matched comparison of in-hospital AMI cases to hospitalized controls. EXPOSURES Candidate risk factors for in-hospital AMI included characteristics at the time of admission and in-hospital variables prior to the index date. MAIN OUTCOMES AND MEASURES In the determination of the incidence and risk factors associated with in-hospital AMI, the outcome of interest was in-hospital AMI. All-cause mortality was the main outcome of interest following in-hospital AMI. RESULTS A total of 5556 patients with in-hospital AMI (mean [SD] age, 73 [10] years; 5456 [98.2%] male) were identified among 1.3 million admissions, with an incidence of 4.27 in-hospital AMI events per 1000 admissions. Independent risk factors associated with in-hospital AMI included intensive care unit setting, history of coronary artery disease, heart rate greater than 100 beats/min, hemoglobin level less than 8 g/dL, and white blood cell count 14 000/μL or greater. Compared with the matched control group, mortality was significantly higher for patients with in-hospital AMI (in-hospital mortality, 26.4% vs 4.2%; 30-day mortality, 33.0% vs 10.0%; 1-year mortality, 59.2% vs 34.4%). CONCLUSIONS AND RELEVANCE In-hospital AMI was common and associated with common cardiovascular risk factors and markers of acute illness. Patient outcomes following in-hospital AMI were poor, with 1-year mortality approaching 60%. Further study of in-hospital AMI may yield opportunities to reduce in-hospital AMI risk and improve patient outcomes.
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Affiliation(s)
- Steven M. Bradley
- Minneapolis Heart Institute, Minneapolis, Minnesota
- Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
| | | | - G. Blake Wood
- Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Charles Maynard
- Veterans Affairs Puget Sound Health Care System, Seattle, Washington
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Dawwas GK, Smith SM, Park H. Cardiovascular outcomes of sodium glucose cotransporter-2 inhibitors in patients with type 2 diabetes. Diabetes Obes Metab 2019; 21:28-36. [PMID: 30039524 DOI: 10.1111/dom.13477] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 07/11/2018] [Accepted: 07/15/2018] [Indexed: 12/27/2022]
Abstract
AIMS To determine the association between cardiovascular diseases (CVD) and SGLT2 inhibitors compared to sulfonylureas and dipeptidyl peptidase-4 (DPP4) inhibitors and to examine within-class effects of SGLT2 inhibitors. METHODS A retrospective cohort analysis was conducted using Truven Health MarketScan. New users of SGLT2 inhibitors, sulfonylureas or DPP-4 inhibitors were included. Primary outcome was incident CVD, defined as non-fatal myocardial infarction or non-fatal stroke; secondary outcomes were hospitalization because of heart failure and lower extremity amputation. Proportional hazards models, after propensity score matching, were used to obtain hazard ratios (HR) and 95% confidence intervals (CI). RESULTS In fully adjusted models, use of SGLT2 inhibitors was associated with a decreased risk of developing CVD compared with use of sulfonylureas (HR, 0.50; 95% CI, 0.45, 0.55) and DPP-4 inhibitors (HR, 0.57; 95% CI, 0.52, 0.62), respectively. Analyses revealed no evidence of within-class effects: dapagliflozin vs sulfonylureas (HR, 0.55; 95% CI, 0.43, 0.70) or DPP-4 inhibitors (HR, 0.57; 95% CI, 0.46, 0.70); and canagliflozin vs sulfonylureas (HR, 0.61; 95% CI, 0.54, 0.69) or DPP-4 inhibitors (HR, 0.66; 95% CI, 0.54, 0.71). Additionally, SGLT2 inhibitors were associated with lower risk of hospitalization because of heart failure compared to both sulfonylureas and DPP-4 inhibitors, as well as lower risk of lower extremity amputation compared to sulfonylureas. CONCLUSION Using population-based data, incident use of SGLT-2 inhibitors was associated with a decreased incidence of CVD compared to use of sulfonylureas and DPP-4 inhibitors. These findings were consistent between dapagliflozin and canagliflozin, suggesting that CVD reduction is a class effect for SGLT2 inhibitors. In addition, SGLT2 inhibitors portended lower risk of hospitalization because of heart failure (vs sulfonylureas and DPP-4 inhibitors) and lower risk of lower extremity amputation (vs sulfonylureas).
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Affiliation(s)
- Ghadeer K Dawwas
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida
| | - Steven M Smith
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida
- Department of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - Haesuk Park
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida
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Plakht Y, Abu Eid A, Gilutz H, Shiyovich A. Trends of Cardiovascular Risk Factors in Patients With Acute Myocardial Infarction: Soroka Acute Myocardial Infarction II (SAMI II) Project. Angiology 2018; 70:530-538. [PMID: 30518230 DOI: 10.1177/0003319718816479] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
CONCLUSIONS The last decade, patients with AMI became older with increased burden of CVRFs. Framingham risk score increased among patients with NSTEMI and decreased in patients with STEMI. These trends impact on risk stratification and secondary prevention programs.
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Affiliation(s)
- Ygal Plakht
- 1 Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,2 Soroka University Medical Center, Beer-Sheva, Israel
| | - Abeer Abu Eid
- 1 Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Harel Gilutz
- 1 Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,2 Soroka University Medical Center, Beer-Sheva, Israel
| | - Arthur Shiyovich
- 3 Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Virani SS, Akeroyd JM, Ramsey DJ, Deswal A, Nasir K, Rajan SS, Ballantyne CM, Petersen LA. Health Care Resource Utilization for Outpatient Cardiovascular Disease and Diabetes Care Delivery Among Advanced Practice Providers and Physician Providers in Primary Care. Popul Health Manag 2018; 21:209-216. [DOI: 10.1089/pop.2017.0090] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Salim S. Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations; and Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Julia M. Akeroyd
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations; and Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - David J. Ramsey
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations; and Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Anita Deswal
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Khurram Nasir
- Center for Healthcare Advancement & Outcomes, Baptist Health South Florida, Miami, Florida
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland
| | - Suja S. Rajan
- Division of Management, Policy and Community Heath, School of Public Health, University of Texas—Health Science Center at Houston, Houston, Texas
| | - Christie M. Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Laura A. Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations; and Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
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Barnabe C, Zheng Y, Ohinmaa A, Crane L, White T, Hemmelgarn B, Kaplan GG, Martin L, Maksymowych WP. Effectiveness, Complications, and Costs of Rheumatoid Arthritis Treatment with Biologics in Alberta: Experience of Indigenous and Non-indigenous Patients. J Rheumatol 2018; 45:1344-1352. [PMID: 29858236 DOI: 10.3899/jrheum.170779] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To examine clinical effectiveness, treatment complications, and healthcare costs for indigenous and non-indigenous Albertans with rheumatoid arthritis (RA) participating in the Alberta Biologics Pharmacosurveillance program. METHODS Patients initiating biologic therapy in Alberta (2004-2012) were characterized for disease severity and treatment response. Provincial hospitalization separations, physician claims, outpatient department data, and emergency department data were used to estimate treatment complication event rates and healthcare costs. RESULTS Indigenous patients (n = 90) presented with higher disease activity [mean 28-joint count Disease Activity Score (DAS28) 6.11] than non-indigenous patients (n = 1400, mean DAS28 5.19, p < 0.0001). Improvements in DAS28, function, swollen joint count, CRP, and patient and physician global evaluation scores were comparable to non-indigenous patients, but indigenous patients did not have a significant improvement in erythrocyte sedimentation rate (-0.31 per month, 95% CI -0.79 to 0.16, p = 0.199). At the end of study followup, 13% (12/90) of indigenous and 33% (455/1400) of non-indigenous patients were in DAS28 remission (p < 0.001). Indigenous patients had a 40% increased risk of all-cause hospitalization [adjusted incidence rate ratio (IRR) 1.4, 95% CI 1.1-1.8, p = 0.01] and a 4-fold increase in serious infection rate (adjusted IRR 4.0, 95% CI 2.3-7.0, p < 0.001). Non-indigenous patients incurred higher costs for RA-related hospitalizations (difference $896, 95% CI 520-1273, p < 0.001), and outpatient department visits (difference $128, 95% CI 2-255, p = 0.047). CONCLUSION We identified disparities in treatment outcomes, safety profiles, and patient-experienced effects of RA for the indigenous population in Alberta. These disparities are critical to address to facilitate and achieve desired RA outcomes from individual and population perspectives.
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Affiliation(s)
- Cheryl Barnabe
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta. .,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta.
| | - Yufei Zheng
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Arto Ohinmaa
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Louise Crane
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Tyler White
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Brenda Hemmelgarn
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Gilaad G Kaplan
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Liam Martin
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
| | - Walter P Maksymowych
- From the Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary; Institute of Health Economics; Department of Medicine, Faculty of Medicine and Dentistry, and School of Public Health, University of Alberta; Canadian Arthritis Patient Alliance; Siksika Health and Wellness, Siksika Nation, Edmonton, Alberta.,C. Barnabe, MD, MSc, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; Y. Zheng, PhD, Institute of Health Economics, and Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta; A. Ohinmaa, PhD, Institute of Health Economics, and School of Public Health, University of Alberta; L. Crane, MA, Patient Advocate, Canadian Arthritis Patient Alliance; T. White, CEO, Siksika Health and Wellness, Siksika Nation; B. Hemmelgarn, MD, PhD, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; G.G. Kaplan, MD, MPH, Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary; L. Martin, MB, Department of Medicine, Cumming School of Medicine, University of Calgary; W.P. Maksymowych, MD, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta
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Chen H, Shi L, Xue M, Wang N, Dong X, Cai Y, Chen J, Zhu W, Xu H, Meng Q. Geographic Variations in In‐Hospital Mortality and Use of Percutaneous Coronary Intervention Following Acute Myocardial Infarction in China: A Nationwide Cross‐Sectional Analysis. J Am Heart Assoc 2018. [PMCID: PMC6015409 DOI: 10.1161/jaha.117.008131] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Prevalence of acute myocardial infarction (AMI) is increasing in China, and AMI has become a major cause of mortality; however, information is very limited about the nationwide geographic and hospital variation in in‐hospital mortality (IHM) and the use of percutaneous coronary intervention (PCI) after AMI. Methods and Results From the Nationwide Hospital Discharge Database of China, we identified 242 866 adult admissions with AMI in 2015 from 1055 tertiary hospitals. We used multivariable logistic regressions to analyze the associations between geographic or hospital characteristics with IHM or PCI use. The national IHM rate was 4.71% (95% confidence interval, 4.62–4.79%). There was a greater risk of mortality in the Northeast (odds ratio [OR]: 1.86), West (OR: 1.73), South (OR: 1.32), and North (OR: 1.14) regions than in the East region of China. Non–teaching hospitals (OR: 1.18) and tertiary level B hospitals (OR: 1.06) were associated with higher IHM rates. The national PCI use rate was 45.3% (95% confidence interval, 45.1–45.5%). Compared with the East region of China, PCI use was lower in the Northeast (OR: 0.50), West (OR: 0.64), North (OR: 0.84), and South (OR: 0.88) regions. Non–teaching hospitals (OR: 0.83) and tertiary level B hospitals (OR: 0.55) were also associated with lower usage rates. There was a significant negative correlation between IHM and PCI use (r=−0.955), and IHM rates for patients with and without PCI both differed by geographic regions. Conclusions There were significant differences in IHM and PCI use among China's tertiary hospitals, linked to both geographic and hospital characteristics. More targeted intervention at national and regional levels is needed to improve access to effective health technologies and, eventually, outcomes following AMI.
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Affiliation(s)
- Hui Chen
- School of Biomedical Engineering, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
| | - Lizheng Shi
- Department of Global Health Management and Policy, Tulane University, New Orleans, LA
| | - Ming Xue
- Centre for Health Statistics and Information, The National Health and Family Planning Commission of China, Beijing, China
| | - Ni Wang
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Xiao Dong
- School of Biomedical Informatics, The University of Texas Health Science Centre at Houston, TX
| | - Yue Cai
- Centre for Health Statistics and Information, The National Health and Family Planning Commission of China, Beijing, China
| | - Jieqing Chen
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Weiguo Zhu
- Department of Information Management, Department of General Internal Medicine, Peking Union Medical College Hospital Peking Union Medical College Chinese Academy of Medical Sciences, Beijing, China
| | - Hua Xu
- School of Biomedical Informatics, The University of Texas Health Science Centre at Houston, TX
| | - Qun Meng
- Centre for Health Statistics and Information, The National Health and Family Planning Commission of China, Beijing, China
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