Trends of Hospitalizations in the United States from 2000 to 2012 of Patients >60 Years With Aortic Valve Disease




In recent years, there has been an increased emphasis on the diagnosis and treatment of valvular heart disease and, in particular, aortic stenosis. This has been driven in part by the development of innovative therapeutic options and by an aging patient population. We hypothesized an increase in the number of hospitalizations and the economic burden associated with aortic valve disease (AVD). Using Nationwide Inpatient Sample from 2000 to 2012, AVD-related hospitalizations were identified using International Classification of Diseases, Ninth Revision, Clinical Modification , code 424.1, as the principal discharge diagnosis. Overall AVD hospitalizations increased by 59% from 2000 to 2012. This increase was most significant in patients >80 years and those with higher burden of co-morbidities. The most frequent coexisting conditions were hypertension, heart failure, renal failure, anemia, and diabetes. Overall inhospital mortality of patients hospitalized for AVD was 3.8%, which significantly decreased from 4.5% in 2000 to 3.5% in 2012 (p <0.001). The largest decrease in mortality was seen in the subgroup of patients who had heart failure (62% reduction), higher burden of co-morbidities (58% reduction), and who were >80 years (53% reduction). There was a substantial increase in the cost of hospitalization in the last decade from $31,909 to $38,172 (p <0.001). The total annual cost for AVD hospitalization in the United States increased from $1.3 billion in 2001 to $2.1 billion in 2011 and is expected to increase to nearly 3 billion by 2020. The last decade has witnessed a significant increase in hospitalizations for AVD in the United States. The associated decrease in inhospital mortality and increase in the cost of hospitalization have considerably increased the economic burden on the public health system.


Valvular heart disease is a major public health burden that increases with advancing age. Aortic valvular heart disease (AVD) in particular coexists with other more prevalent cardiovascular conditions, such as coronary artery disease, heart failure, and hypertension, and patients often require intervention. AVD consists of primarily aortic stenosis and to a lesser extent aortic insufficiency and mixed aortic valve diseases. Until recently, surgical aortic valve replacement was the only proved therapy for the treatment of severe symptomatic aortic stenosis. For the past decade, innovations in transcatheter valve technology have revolutionized the management of valvular heart disease in high- and extreme-risk patient populations. With the availability of more treatment options, an aging population, and the incremental cost of hospitalizations, the economic burden associated with AVD is of growing significance. Currently, there is paucity of data on AVD hospitalization trends on a national scale. The present study was designed to perform an evaluation of the temporal trends in AVD-related hospitalizations in the United States. We also assessed the overall burden of AVD in terms of inhospital mortality, co-morbid conditions, length of hospital stay, and cost of care during the hospitalization.


Methods


Data from the year 2000 to 2012 were obtained from the Nationwide Inpatient Sample (NIS). NIS is a part of a family of databases developed for the Healthcare Cost and Utilization Project and is sponsored by the Agency for Healthcare Research and Quality. It is the largest available database of hospital inpatient stays in the United States that includes data on approximately 7 to 8 million discharges each year. Data from the NIS have previously been used to identify, track, and analyze national trends in health care use, patterns of major procedures, access, disparity of care, trends in hospitalizations, charges, quality, and outcomes. Each individual hospitalization in this database is de-identified and maintained as a unique entry with 1 primary discharge diagnosis and <24 secondary diagnoses along with <15 procedural codes during that hospitalization. To maintain the external validity, database is compared with the following data sources: the American Hospital Association Annual Survey Database, the National Hospital Discharge Survey from the National Center for Health Statistics, and the MedPAR inpatient data from the Centers for Medicare and Medicaid Services.


We analyzed data from NIS from 2000 to 2012 using the International Classification of Diseases, Ninth Revision, Clinical Modification ( ICD-9-CM ) codes 424.1 for Non-Rheumatic Aortic Valve Disorders in the primary discharge diagnosis. Only subjects >60 years were included. The observations with missing information, such as age, gender, admission or discharge date, and mortality were excluded. Admissions related to trauma were also excluded. Both patient- and hospital-level variables were included in the baseline characteristics of the study population for assessment of potential confounders. We defined severity of co-morbid conditions using Deyo modification of Charlson co-morbidity index (CCI). This index contains 17 co-morbid conditions with differential weights. The score ranges from 0 to 33, with higher scores corresponding to greater burden of co-morbid diseases ( Supplementary Table 1 ). Facilities were considered to be teaching hospitals if they had an American Medical Association–approved residency program, were a member of the Council of Teaching Hospitals, or had a full-time equivalent intern and resident-to-patient ratio of ≥0.25. To calculate the estimated cost of hospitalizations, the NIS data were merged with cost-to-charge ratios available from the Healthcare Cost and Utilization Project. We estimated the cost of each inpatient stay by multiplying the total hospital charge with the cost-to-charge ratio. Adjusted cost for each year was calculated in terms of the 2011 cost after adjusting for inflation according to the latest consumer price index data released by the US government on January16, 2013. This enabled us to standardize the costs over the study period. Similar methodology has been used in previous studies. Total annual cost was calculated by multiplying mean cost of care per year with total number of cases for that year. Exponential trend line was used to illustrate the trend in total cost from 2001 to 2011 (R 2 = 0.87). Cost projection for 2020 was made assuming a similar increase in cost for AVD hospitalization over the next decade.


Stata IC 11.0 (Stata-Corp., College Station, Texas) and SAS 9.4 (SAS Institute Inc., Cary, North Carolina) were used for analyses, which accounted for the complex survey design and clustering. Because NIS represents a 20% stratified random sample of US hospitals, analyses were performed using hospital-level discharge weights provided by the NIS to obtain national estimates of AVD hospitalizations. For categorical variables like annual change in AVD hospitalization rate and inhospital mortality, the chi-square test of trend for proportions was used using the Cochrane Armitage test through the “ptrend” command in Stata. For continuous variables like cost of hospitalization, nonparametric test for trend by Cuzick (which is similar to the Wilcoxon rank-sum test) using the “nptrend” command in Stata was used. Differences between categorical variables were tested using the chi-square test, and differences between continuous variables were tested using the student’s t test. p Value <0.05 was considered significant.




Results


A total of 113,847 hospitalizations with AVD as the primary discharge diagnosis (weighted n = 561,880) were reported in the United States from 2000 to 2012 in patients >60 years. The number of hospitalizations progressively increased from 7,213 in 2000 to 11,531 in 2012 (p <0.001; Figure 1 ). The mean age of hospitalized patients increased from 75.6 to 76.9 years. Patient characteristics have been summarized in Table 1 . Hospitalized patients with AVD were predominantly non-Hispanic whites (69%) and were >70 years (76%). Overall, there were more hospitalizations in men than women (55% vs 45%), and the difference in male versus female gender ratio increased from 54% vs 46% in 2000 to 56% vs 44% in 2012 ( Figure 2 ). The admission rate in patients >80 years significantly increased from 32% in 2000 to 42% in 2012 (p <0.001). Admissions for patients with higher co-morbidities (CCI ≥2) doubled from 25% in 2000 to 50% in 2012 ( Figure 3 ). The most frequent coexisting conditions in these patients were hypertension (58%), heart failure (35%), renal failure and anemia (26% each), diabetes (24%), and chronic pulmonary disease (18%). Most hospitalizations for AVD (82%) were associated with Medicare as the primary payer. In terms of the geographic distribution of admissions, the hospitals in the South (29%) constituted the highest percentage of hospitalizations related to AVD, followed by Northeast (26%), Midwest (22%), and West (20%). Overall inhospital mortality of patients hospitalized for AVD was 3.8%, which significantly decreased from 4.5% in 2000 to 3.5% in 2012 (p <0.001; Figure 4 ). The largest decrease in mortality was seen in the subgroup of patients who had heart failure (62% reduction), had CCI >2 (58% reduction), and who were >80 years (53% reduction) ( Table 2 ). Forty-one percent of the patients were discharged to home, whereas 55% were transferred to another facility (short- or long-term nursing homes or assisted facilities). There was a noticeable increase in the trend for disposition to another facility, 45% in 2000 to 60% in 2012 (p <0.001; Figure 5 ). The length of hospital stay for this patient population decreased from 8.4 days in 2000 to 7.8 days in 2012 (p <0.001) and was associated with a substantial increase in cost of hospitalization in the last decade from $31,909 to $38,172 (p <0.001; Figure 6 ). This represents an absolute increment in annual national cost from an approximate $1.28 billion in 2001 to $2.13 billion in 2011. The total annual cost of AVD hospitalization increased exponentially from 2001 to 2011. Assuming a similar increase in cost of care for AVD-related hospitalization, the total cost for AVD hospitalization is expected to increase to nearly $3 billion by 2020 ( Figure 7 ).




Figure 1


Trend of number of hospitalizations in US adults (age ≥60 years) for nonrheumatic AV disorders.


Table 1

Hospitalization for aortic valve disorders in US from 2000-2012 (ICD-9 code 424.1)

























































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































Demographic Variables 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Total P-value for Trend
Total No. of Observations (>60 yrs age) with AV Disorders 7,213 7,905 7,830 7,881 7,696 7,546 8,267 7,931 8,950 10,539 8,895 11,663 11,531 113,847 <0.001
Age (years)
60-69 23.4% 22.1% 23.1% 24.3% 24.0% 24.4% 24.0% 24.4% 24.1% 25.0% 24.9% 24.2% 23.4% 24.0% <0.001
70-79 44.3% 44.5% 43.8% 41.1% 40.9% 40.6% 41.7% 39.0% 37.2% 38.0% 35.9% 35.1% 34.6% 39.3% <0.001
>80 32.3% 33.4% 33.1% 34.6% 35.1% 35.1% 34.3% 36.6% 38.7% 37.0% 39.2% 40.8% 42.1% 36.7% <0.001
Male 53.6% 52.8% 53.6% 53.9% 54.7% 55.4% 54.6% 56.4% 55.5% 56.7% 56.3% 55.4% 56.0% 55.1% <0.001
Female 46.4% 47.2% 46.4% 46.1% 45.3% 44.6% 45.4% 43.6% 44.5% 43.3% 43.7% 44.6% 44.0% 44.9% <0.001
Non-hispanic Whites 69.0% 65.5% 60.6% 62.3% 64.9% 64.1% 65.3% 66.6% 69.7% 68.6% 74.7% 77.6% 79.1% 69.0% <0.001
Others 9.0% 10.1% 10.0% 10.7% 9.4% 9.7% 10.4% 12.0% 11.8% 12.3% 12.8% 14.2% 14.9% 11.6% <0.001
Missing 22.1% 24.4% 29.4% 27.0% 25.7% 26.3% 24.2% 21.4% 18.5% 19.1% 12.5% 8.2% 6.0% 19.4% <0.001
AHRQ Comorbidities
Charlson/ Deyo Comorbidity Index
0 37.9% 36.3% 35.0% 34.1% 33.2% 31.6% 31.0% 28.3% 28.1% 27.6% 25.2% 23.2% 21.6% 29.6% <0.001
1 36.7% 37.7% 37.1% 36.8% 37.3% 37.0% 33.8% 32.2% 32.6% 31.0% 31.6% 28.3% 28.1% 33.4% <0.001
More than or equal to 2 25.3% 26.0% 27.9% 29.1% 29.5% 31.4% 35.2% 39.6% 39.3% 41.4% 43.2% 48.5% 50.4% 37.1% <0.001
Obesity . . 5.0% 5.5% 6.9% 7.2% 7.9% 8.7% 12.1% 11.8% 12.3% 15.0% 15.9% 9.0% <0.001
Hypertension . . 49.9% 53.1% 60.1% 62.7% 65.6% 65.6% 69.6% 71.0% 71.4% 74.6% 77.3% 57.7% <0.001
Diabetes Mellitus . . 20.3% 20.6% 24.2% 25.0% 26.1% 27.9% 28.9% 29.5% 31.1% 31.7% 33.6% 24.0% <0.001
Congestive Heart Failure (AHRQ coded co-morbidity) . . 1.5% 1.2% 1.3% 1.1% 1.1% 1.1% 1.0% 1.2% 1.1% 1.1% 0.8% 1.0% <0.001
History of Chronic Pulmonary Disease . . 18.1% 18.4% 19.5% 21.4% 22.3% 21.8% 20.9% 21.0% 20.0% 22.6% 24.2% 18.3% <0.001
Peripheral Vascular Disease . . 10.1% 10.5% 13.1% 12.3% 13.4% 14.9% 16.2% 17.3% 15.3% 18.7% 19.9% 13.1% <0.001
Fluid-electrolyte abnormalities & Renal Failure . . 15.4% 17.0% 17.8% 21.6% 27.9% 31.0% 32.7% 35.2% 34.7% 42.8% 43.3% 26.3% <0.001
Neurological disorder or paralysis . . 5.0% 3.7% 4.4% 4.6% 4.6% 5.5% 6.0% 6.0% 6.3% 6.7% 7.0% 4.8% <0.001
Anemia or coagulopathy . . 17.7% 19.7% 21.8% 25.7% 26.7% 29.2% 31.5% 33.3% 31.9% 39.9% 40.3% 25.9% <0.001
Solid Tumors or Metastatic Cancers or Lymphoma . . 9.7% 2.1% 2.5% 2.3% 2.3% 2.6% 2.2% 2.4% 2.6% 2.8% 2.8% 2.6% <0.001
Depression, Psychosis, or Substance Abuse . . 3.3% 4.3% 4.3% 3.9% 5.2% 6.0% 7.1% 7.0% 7.4% 8.3% 8.9% 5.4% <0.001
Liver Disease . . 0.7% 0.8% 0.7% 1.1% 0.8% 1.0% 1.1% 1.2% 1.0% 1.4% 1.5% 0.9% <0.001
Co-morbidities according to ICD-9 code
Acute Heart Failure 0.0% 0.0% 0.1% 0.2% 0.4% 0.3% 0.3% 1.1% 6.2% 7.3% 9.5% 11.9% 14.0% 4.5% <0.001
Heart Failure other than Acute Heart Failure 30.3% 31.7% 32.3% 34.0% 33.2% 33.0% 32.5% 32.9% 26.9% 25.6% 26.3% 27.3% 28.4% 30.1% <0.001
Heart Failure (Total) 30.3% 31.7% 32.4% 34.2% 33.6% 33.3% 32.8% 34.0% 33.0% 32.9% 35.8% 39.1% 42.4% 34.5% <0.001
Acute Myocardial Infarction 2.4% 2.4% 2.2% 2.7% 2.6% 2.4% 2.0% 2.3% 2.4% 2.6% 3.1% 2.9% 2.9% 2.6% <0.001
Median Household Income Category for patient’s Zip code
1. 0-25th percentile 4.9% 4.4% 3.4% 21.0% 20.0% 19.7% 19.1% 19.0% 20.0% 20.7% 20.8% 20.6% 22.1% 17.1% <0.001
2. 26-50th percentile 26.4% 20.1% 17.1% 25.1% 25.5% 23.5% 24.5% 23.1% 27.5% 25.7% 26.7% 23.5% 24.1% 24.1% <0.001
3. 51-75th percentile 27.9% 24.6% 23.7% 26.9% 23.5% 27.5% 25.1% 25.4% 24.3% 24.9% 26.2% 26.6% 25.2% 25.5% 0.867
4. 76-100th percentile 39.1% 49.6% 53.4% 25.2% 28.6% 27.6% 29.3% 30.0% 26.7% 26.2% 24.3% 27.5% 27.0% 31.3% <0.001
Primary Payer
Medicare 79.8% 81.5% 82.3% 83.7% 80.9% 81.8% 82.6% 81.2% 80.6% 81.3% 81.0% 83.3% 84.0% 81.9% <0.001
Medicaid 2.0% 1.8% 1.4% 1.7% 1.5% 1.9% 1.3% 1.4% 1.5% 1.5% 2.0% 1.2% 1.3% 1.6% <0.001
Private including HMOs & PPOs 16.2% 14.5% 14.3% 12.6% 15.6% 14.4% 14.3% 15.4% 15.6% 14.9% 14.6% 13.6% 12.5% 14.4% <0.001
Other/Self-pay 1.8% 2.0% 2.0% 1.9% 1.9% 1.9% 1.7% 2.0% 2.3% 2.1% 2.3% 1.7% 2.0% 2.0% 0.03
Hospital Characteristics
Bed size of Hospital depending on Location & Teaching Status
Small 7.7% 5.9% 6.8% 7.3% 8.3% 4.8% 9.2% 7.8% 8.1% 7.7% 9.3% 7.5% 7.9% 7.6% <0.001
Medium 20.9% 15.9% 17.8% 21.5% 18.9% 21.2% 20.0% 21.4% 18.3% 15.5% 15.7% 18.0% 19.3% 18.6% <0.001
Large 71.4% 78.2% 75.4% 71.2% 72.8% 74.1% 70.8% 70.7% 73.6% 74.9% 73.7% 74.1% 72.8% 73.4% 0.799
Hospital Location & Teaching Status
Rural 5.2% 5.7% 5.3% 6.0% 5.4% 4.0% 4.0% 5.2% 5.4% 5.2% 6.6% 3.4% 4.3% 5.0% <0.001
Urban Non-teaching 29.8% 33.1% 34.6% 33.6% 33.1% 37.8% 37.8% 32.5% 38.0% 31.0% 33.6% 28.3% 27.9% 33.0% <0.001
Urban Teaching 65.0% 61.2% 60.1% 60.4% 61.5% 58.2% 58.2% 62.3% 56.6% 63.9% 59.8% 68.3% 67.8% 62.0% <0.001
Hospital Region
Northeast 28.8% 25.4% 27.8% 22.8% 26.6% 24.8% 23.3% 27.3% 24.6% 23.3% 27.1% 27.4% 24.5% 25.6% <0.001
Midwest 23.3% 19.9% 18.0% 21.7% 21.9% 22.4% 20.9% 18.7% 23.2% 26.0% 23.8% 18.8% 23.4% 21.8% <0.001
South 30.7% 31.0% 27.8% 28.6% 28.5% 26.6% 29.3% 26.2% 28.5% 26.3% 27.3% 29.4% 32.6% 28.8% 0.659
West 17.1% 17.9% 20.5% 20.8% 23.0% 26.2% 20.2% 21.1% 18.2% 19.5% 16.5% 20.0% 19.6% 19.9% <0.001
Admission Type
Emergency/Urgent 39.6% 38.2% 38.1% 38.2% 37.7% 36.8% 38.9% 36.5% 39.0% 38.0% 36.1% 35.1% . 33.7% <0.001
Elective 50.1% 50.5% 49.8% 47.4% 50.4% 44.6% 50.0% 48.5% 51.9% 51.4% 56.7% 53.1% . 45.4% <0.001
Admission Day
Weekdays 90.9% 91.4% 90.8% 90.5% 90.6% 92.0% 92.4% 91.3% 91.0% 91.7% 91.9% 92.2% 92.2% 91.5% <0.001
Weekends 9.1% 8.6% 9.2% 9.5% 9.4% 8.0% 7.6% 8.7% 9.0% 8.4% 8.1% 7.8% 7.8% 8.5% <0.001
Disposition
Home 50.7% 48.0% 49.0% 48.0% 43.5% 40.8% 40.7% 36.8% 36.9% 40.4% 35.9% 35.1% 36.6% 41.1% <0.001
Transfer to Short-term Hospital/other facilities/Home Health Care 44.5% 47.3% 46.6% 46.8% 51.9% 55.1% 55.4% 59.3% 58.5% 56.1% 60.6% 61.3% 59.8% 54.7% <0.001
In Hospital Mortality (died in hospital) 4.5% 4.5% 3.9% 4.6% 4.3% 3.8% 3.7% 3.6% 4.3% 3.2% 3.3% 3.4% 3.5% 3.8% <0.001
Adjusted Cost to Charge ($)(Mean, Std Error) . 31,909 32,989 34,595 35,210 37,897 36,369 38,080 35,365 36,453 38,052 38,172 . 36,090
Length of Stay (Mean, Std Error)(days) 8.4 8.3 8.3 8.3 8.2 8.3 8.3 8.4 8.0 8.0 7.8 8.1 7.8 8.1

AHRQ = Agency for Healthcare Research and Quality; AMA = Against Medical Advice; HMO = Health Maintenance Organization; ICD-9 = International Classification of Disease; PPO = Preferred Provider Organization.

Variables are AHRQ comorbidity measures.


Charlson/Deyo comorbidity index was calculated as per Deyo classification.


This represents a quartile classification of the estimated median household income of residents in the patient’s ZIP Code. These values are derived from ZIP Code-demographic data obtained from Claritas. The quartiles are identified by values of 1 to 4, indicating the poorest to wealthiest populations. Because these estimates are updated annually, the value ranges vary by year. http://www.hcupus.ahrq.gov/db/vars/zipinc_qrtl/nisnote.jsp .




Figure 2


Trend of gender distribution of US adults (age ≥60 years) hospitalized for nonrheumatic AV disorders.



Figure 3


Trend of mean Charlson score in US adults (age ≥60 years) hospitalized with nonrheumatic AV disorders.



Figure 4


Trend of mortality in US adults (age ≥60 years) hospitalized for nonrheumatic AV disorders.


Table 2

In-hospital mortality (>60 yrs of age) for aortic valve disorders in US from 2000-2012 (ICD-9 code 424.1)
















































































































































































































































































































































































































































































































































































































































































































































































Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Relative Change P-value for Trend
Overall 4.53% 4.5% 3.86% 4.64% 4.29% 3.77% 3.74% 3.62% 4.32% 3.2% 3.34% 3.41% 3.46% -30.92% <0.001
Age(years)
60-69 2.56% 2.59% 2.03% 3.14% 2.73% 1.99% 2.32% 2.55% 2.37% 1.76% 2.3% 1.7% 2.26% -13.27% <0.001
70-79 4.03% 4.43% 3.51% 4.24% 4.31% 3.58% 3.63% 3.02% 3.98% 3.08% 3.33% 3.22% 3.19% -26.33% <0.001
>80 6.65% 5.86% 5.62% 6.17% 5.32% 5.23% 4.87% 4.97% 5.85% 4.29% 4% 4.59% 4.35% -52.87% <0.001
Male 3.83% 3.81% 3.34% 4.28% 3.67% 3.5% 3.33% 3.33% 3.91% 3.18% 2.94% 3.16% 3.41% -12.32% <0.001
Female 5.33% 5.28% 4.47% 5.06% 5.03% 4.11% 4.23% 4% 4.83% 3.22% 3.85% 3.73% 3.53% -50.99% <0.001
Non-hispanic Whites 4.45% 4.61% 3.85% 4.34% 4.22% 3.84% 3.74% 3.44% 4.4% 3.15% 3.3% 3.42% 3.39% -31.27% <0.001
Others 4.5% 5.72% 4.08% 4.24% 5.32% 2.98% 3.29% 3.76% 4.17% 2.4% 3.42% 3.78% 3.67% -22.62% <0.001
Missing 4.8% 3.7% 3.83% 5.49% 4.07% 3.88% 3.92% 4.09% 4.1% 3.88% 3.46% 2.73% 3.88% -23.71% <0.001
AHRQ Comorbidities
Charlson/ Deyo Comorbidity Index
0 1.74% 2.13% 2.25% 2.17% 2.15% 2.21% 1.58% 2% 3.2% 1.85% 1.71% 1.87% 1.37% -27.01% <0.001
1 5.1% 5.19% 4.24% 5.05% 4.98% 3.48% 3.63% 3.58% 3.81% 2.51% 2.84% 2.59% 2.32% -119.83% 0.005
More than or equal to 2 7.89% 6.81% 5.4% 7.02% 5.8% 5.69% 5.75% 4.82% 5.54% 4.61% 4.65% 4.64% 4.99% -58.12% <0.001
Hypertension . . 2.05% 3.17% 3.12% 2.6% 2.65% 2.69% 3.44% 2.45% 2.47% 2.82% 3.05% 32.79% 0.064
Diabetes Mellitus . . 3.22% 4.34% 3.74% 3% 2.92% 3.18% 3.02% 3.07% 3.25% 3.2% 3.48% 7.47% 0.107
Congestive Heart Failure (AHRQ coded co-morbidity) . . 18.34% 23.05% 22.6% 21.73% 26.91% 24.67% 27.32% 21.02% 18.67% 18.42% 23.4% 21.62% 0.547
Co-morbidites according to ICD-9 code
Acute Heart Failure . . 0.0% 18.18% 6.48% 8.29% 6.59% 4.11% 5.87% 6.09% 4.96% 6.39% 5.65% -221.77% 0.24
Heart Failure other than Acute heart failure 8.25% 7.86% 6.07% 8.12% 7.04% 6.23% 6.6% 5.78% 6.58% 5.17% 5.44% 4.65% 4.82% -71.16% <0.001
Heart Failure (total) 8.25% 7.86% 6.06% 8.18% 7.04% 6.24% 6.6% 5.72% 6.44% 5.38% 5.31% 5.18% 5.09% -62.08% <0.001
Acute Myocardial Infarction 17.78% 17.17% 13.89% 19.24% 21.13% 14.61% 19.55% 10.87% 14.22% 12.37% 12.29% 11.81% 14.54% -22.28% <0.001
Primary Payer
Medicare 5% 4.74% 4.03% 4.77% 4.51% 3.89% 4.04% 3.73% 4.5% 3.32% 3.48% 3.55% 3.59% 39.28% <0.001
Medicaid 2.75% 5.5% 8.05% 4.69% 5.66% 4.22% 0.0% 4.91% 2.18% 3.79% 1.79% 2.05% 4.64% 40.73% <0.001
Private including HMOs & PPOs 2.83% 2.93% 2.62% 3.29% 2.84% 2.99% 2.08% 2.74% 3.08% 2.3% 2.49% 2.04% 2.01% 40.80% <0.001
Other/Self-pay 0.0% 1.53% 1.38% 8.46% 5.84% 1.54% 1.64% 2.76% 4.59% 1.68% 5.27% 3.99% 2.3% 33.48% <0.001
Hospital Characteristics
Bed size of Hospital depending on Location & Teaching Status
Small 5.91% 4.96% 4% 3.82% 5.16% 3.14% 4.9% 3.24% 4.85% 3.48% 4.3% 3.52% 4.17% -41.73% <0.001
Medium 4.51% 4.6% 4.27% 4.03% 3.7% 3.83% 3.3% 3.74% 4.27% 3.41% 3.18% 3.43% 3.06% -47.39% <0.001
Large 4.39% 4.45% 3.76% 4.91% 4.34% 3.79% 3.71% 3.63% 4.27% 3.16% 3.27% 3.36% 3.49% -25.79% <0.001
Hospital Location & Teaching Status
Rural 3.73% 2.69% 3.4% 4.11% 3.48% 3.84% 4.26% 2.24% 5.78% 3.75% 2.57% 3.74% 3.88% 3.87% 0.425
Urban Non-teaching 4.26% 4.75% 3.87% 4.87% 4.51% 4.23% 3.5% 3.92% 4.26% 2.91% 3.78% 2.92% 3.29% -29.48% <0.001
Urban Teaching 4.73% 4.55% 3.9% 4.57% 4.23% 3.44% 3.87% 3.58% 4.21% 3.34% 3.19% 3.56% 3.5% -35.14% <0.001
Admission Type
Emergency/Urgent 5.55% 5.2% 4.86% 5.81% 4.99% 4.84% 4.62% 3.78% 4.83% 3.79% 4.24% 4.28% . -−-29.67% <0.001
Elective 3.73% 3.81% 2.98% 3.94% 3.64% 3.16% 3.3% 3.45% 3.61% 2.57% 2.83% 2.97% . -25.59% <0.001
Admission Day
Weekdays 4.23% 4.42% 3.66% 4.51% 4.2% 3.74% 3.74% 3.56% 4.11% 3.1% 3.47% 3.32% 3.39% -−-24.78% <0.001
Weekends 7.47% 5.31% 5.86% 5.93% 5.07% 4.14% 3.67% 4.22% 6.47% 4.25% 1.86% 4.48% 4.24% -76.18% <0.001

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Nov 28, 2016 | Posted by in CARDIOLOGY | Comments Off on Trends of Hospitalizations in the United States from 2000 to 2012 of Patients >60 Years With Aortic Valve Disease

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