Trends in aortic dissection hospitalizations, interventions, and outcomes among medicare beneficiaries in the United States, 2000-2011
The epidemiology of aortic dissection (AD) has not been well described among older persons in the United States. It is not known whether advancements in AD care over the last decade have been accompanied by changes in outcomes. The Inpatient Medicare data from 2000 to 2011 were used to determine tre...
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| Vydáno v: | Circulation Cardiovascular quality and outcomes Ročník 7; číslo 6; s. 920 |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
01.11.2014
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| ISSN: | 1941-7705, 1941-7705 |
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| Abstract | The epidemiology of aortic dissection (AD) has not been well described among older persons in the United States. It is not known whether advancements in AD care over the last decade have been accompanied by changes in outcomes.
The Inpatient Medicare data from 2000 to 2011 were used to determine trends in hospitalization rates for AD. Mortality rates were ascertained through corresponding vital status files. A total of 32 057 initial AD hospitalizations were identified. The overall hospitalization rate for AD remained unchanged at 10 per 100 000 person-years. For 30-day and 1-year mortality associated with AD, the observed rate decreased from 31.8% to 25.4% (difference, 6.4%; 95% confidence interval [CI], 6.2-6.5; adjusted, 6.4%; 95% CI, 5.7-6.9) and from 42.6% to 37.4% (difference, 5.2%; 95% CI, 5.1-5.2; adjusted, 6.2%; 95% CI, 5.3-6.7), respectively. For patients undergoing surgical repair for type A dissections, the observed 30-day mortality decreased from 30.7% to 21.4% (difference, 9.3%; 95% CI, 8.3-10.2; adjusted, 7.3%; 95% CI, 5.8-7.8) and the observed 1-year mortality decreased from 39.9% to 31.6% (difference, 8.3%; 95% CI, 7.5-9.1%; adjusted, 8.2%; 95% CI, 6.7-9.1). The 30-day mortality decreased from 24.9% to 21% (difference, 3.9%; 95% CI, 3.5-4.2; adjusted, 2.9%; 95% CI, 0.7-4.4) and 1-year decreased from 36.4% to 32.5% (difference, 3.9%; 95% CI, 3.3-4.3; adjusted, 3.9%; 95% CI, 2.5-6.3) for surgical repair of type B dissection.
Although AD hospitalization rates remained stable, improvement in mortality was noted, particularly in patients undergoing surgical repair. |
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| AbstractList | The epidemiology of aortic dissection (AD) has not been well described among older persons in the United States. It is not known whether advancements in AD care over the last decade have been accompanied by changes in outcomes.
The Inpatient Medicare data from 2000 to 2011 were used to determine trends in hospitalization rates for AD. Mortality rates were ascertained through corresponding vital status files. A total of 32 057 initial AD hospitalizations were identified. The overall hospitalization rate for AD remained unchanged at 10 per 100 000 person-years. For 30-day and 1-year mortality associated with AD, the observed rate decreased from 31.8% to 25.4% (difference, 6.4%; 95% confidence interval [CI], 6.2-6.5; adjusted, 6.4%; 95% CI, 5.7-6.9) and from 42.6% to 37.4% (difference, 5.2%; 95% CI, 5.1-5.2; adjusted, 6.2%; 95% CI, 5.3-6.7), respectively. For patients undergoing surgical repair for type A dissections, the observed 30-day mortality decreased from 30.7% to 21.4% (difference, 9.3%; 95% CI, 8.3-10.2; adjusted, 7.3%; 95% CI, 5.8-7.8) and the observed 1-year mortality decreased from 39.9% to 31.6% (difference, 8.3%; 95% CI, 7.5-9.1%; adjusted, 8.2%; 95% CI, 6.7-9.1). The 30-day mortality decreased from 24.9% to 21% (difference, 3.9%; 95% CI, 3.5-4.2; adjusted, 2.9%; 95% CI, 0.7-4.4) and 1-year decreased from 36.4% to 32.5% (difference, 3.9%; 95% CI, 3.3-4.3; adjusted, 3.9%; 95% CI, 2.5-6.3) for surgical repair of type B dissection.
Although AD hospitalization rates remained stable, improvement in mortality was noted, particularly in patients undergoing surgical repair. The epidemiology of aortic dissection (AD) has not been well described among older persons in the United States. It is not known whether advancements in AD care over the last decade have been accompanied by changes in outcomes.BACKGROUNDThe epidemiology of aortic dissection (AD) has not been well described among older persons in the United States. It is not known whether advancements in AD care over the last decade have been accompanied by changes in outcomes.The Inpatient Medicare data from 2000 to 2011 were used to determine trends in hospitalization rates for AD. Mortality rates were ascertained through corresponding vital status files. A total of 32 057 initial AD hospitalizations were identified. The overall hospitalization rate for AD remained unchanged at 10 per 100 000 person-years. For 30-day and 1-year mortality associated with AD, the observed rate decreased from 31.8% to 25.4% (difference, 6.4%; 95% confidence interval [CI], 6.2-6.5; adjusted, 6.4%; 95% CI, 5.7-6.9) and from 42.6% to 37.4% (difference, 5.2%; 95% CI, 5.1-5.2; adjusted, 6.2%; 95% CI, 5.3-6.7), respectively. For patients undergoing surgical repair for type A dissections, the observed 30-day mortality decreased from 30.7% to 21.4% (difference, 9.3%; 95% CI, 8.3-10.2; adjusted, 7.3%; 95% CI, 5.8-7.8) and the observed 1-year mortality decreased from 39.9% to 31.6% (difference, 8.3%; 95% CI, 7.5-9.1%; adjusted, 8.2%; 95% CI, 6.7-9.1). The 30-day mortality decreased from 24.9% to 21% (difference, 3.9%; 95% CI, 3.5-4.2; adjusted, 2.9%; 95% CI, 0.7-4.4) and 1-year decreased from 36.4% to 32.5% (difference, 3.9%; 95% CI, 3.3-4.3; adjusted, 3.9%; 95% CI, 2.5-6.3) for surgical repair of type B dissection.METHODS AND RESULTSThe Inpatient Medicare data from 2000 to 2011 were used to determine trends in hospitalization rates for AD. Mortality rates were ascertained through corresponding vital status files. A total of 32 057 initial AD hospitalizations were identified. The overall hospitalization rate for AD remained unchanged at 10 per 100 000 person-years. For 30-day and 1-year mortality associated with AD, the observed rate decreased from 31.8% to 25.4% (difference, 6.4%; 95% confidence interval [CI], 6.2-6.5; adjusted, 6.4%; 95% CI, 5.7-6.9) and from 42.6% to 37.4% (difference, 5.2%; 95% CI, 5.1-5.2; adjusted, 6.2%; 95% CI, 5.3-6.7), respectively. For patients undergoing surgical repair for type A dissections, the observed 30-day mortality decreased from 30.7% to 21.4% (difference, 9.3%; 95% CI, 8.3-10.2; adjusted, 7.3%; 95% CI, 5.8-7.8) and the observed 1-year mortality decreased from 39.9% to 31.6% (difference, 8.3%; 95% CI, 7.5-9.1%; adjusted, 8.2%; 95% CI, 6.7-9.1). The 30-day mortality decreased from 24.9% to 21% (difference, 3.9%; 95% CI, 3.5-4.2; adjusted, 2.9%; 95% CI, 0.7-4.4) and 1-year decreased from 36.4% to 32.5% (difference, 3.9%; 95% CI, 3.3-4.3; adjusted, 3.9%; 95% CI, 2.5-6.3) for surgical repair of type B dissection.Although AD hospitalization rates remained stable, improvement in mortality was noted, particularly in patients undergoing surgical repair.CONCLUSIONSAlthough AD hospitalization rates remained stable, improvement in mortality was noted, particularly in patients undergoing surgical repair. |
| Author | Dodson, John A Krumholz, Harlan M Kim, Nancy Geirsson, Arnar Mody, Purav S Wang, Yun Gupta, Aakriti Desai, Mayur M |
| Author_xml | – sequence: 1 givenname: Purav S surname: Mody fullname: Mody, Purav S organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 2 givenname: Yun surname: Wang fullname: Wang, Yun organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 3 givenname: Arnar surname: Geirsson fullname: Geirsson, Arnar organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 4 givenname: Nancy surname: Kim fullname: Kim, Nancy organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 5 givenname: Mayur M surname: Desai fullname: Desai, Mayur M organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 6 givenname: Aakriti surname: Gupta fullname: Gupta, Aakriti organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 7 givenname: John A surname: Dodson fullname: Dodson, John A organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.) – sequence: 8 givenname: Harlan M surname: Krumholz fullname: Krumholz, Harlan M email: harlan.krumholz@yale.edu organization: From the Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX (P.S.M.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (Y.W., N.K., M.M.D., H.M.K.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (Y.W.); Section of Cardiac Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT (A. Geirsson); Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (N.K.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (M.M.D.); Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (H.M.K.); Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A. Gupta) Section of Cardiology, Department of Internal Medicine, New York University School of Medicine, New York, NY (J.A.D.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.). harlan.krumholz@yale.edu |
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| SubjectTerms | Aged Aged, 80 and over Aortic Dissection - economics Aortic Dissection - epidemiology Aortic Dissection - therapy Cost of Illness Female Hospital Mortality - trends Hospitalization - economics Hospitalization - trends Humans Inpatients Length of Stay - economics Male Medicare - economics Retrospective Studies Survival Rate - trends Treatment Outcome United States - epidemiology Vascular Surgical Procedures - economics |
| Title | Trends in aortic dissection hospitalizations, interventions, and outcomes among medicare beneficiaries in the United States, 2000-2011 |
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