FREE NEJM E-TOC    HOME   |   SUBSCRIBE   |   CURRENT ISSUE   |   PAST ISSUES   |   COLLECTIONS   |   Search Term  Advanced Search

Sign in | Get NEJM's E-Mail Table of Contents — Free | Subscribe

Previous Volume 329:931-935 September 23, 1993 Number 13 Next

Abstract Letters Add to Personal Archive Add to Citation Manager Notify a Friend E-mail When Cited PubMed Citation

ABSTRACT

Background The prospective payment system, under which diagnosis-related groups (DRGs) are used to reimburse hospitals for the care of Medicare patients, replaced the fee-for-service method of payment in Rhode Island in 1983 and in Massachusetts in 1985. Changes in financial incentives resulting from the use of the DRG system may have influenced the assignment of discharge diagnostic codes away from those with lower reimbursement toward codes with higher reimbursement.

Methods We collected data from the hospital records of patients 35 through 74 years of age who were discharged with codes 410 through 414 (representing various categories of coronary heart disease) of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). The patients were discharged from seven hospitals in two New England communities (one in Rhode Island and one in Massachusetts) between 1980 and 1988. The rates of diagnosis of various forms of coronary heart disease were determined by studying ICD-9-CM hospital discharge codes (codes 410 and 411 for acute forms of coronary heart disease and codes 412, 413, and 414 for chronic forms) and by using a computerized diagnostic algorithm designed to detect definite myocardial infarction and fatal coronary heart disease.

Results The rates of definite coronary events diagnosed by the algorithm and by the study of ICD-9-CM codes 410 through 414 were constant or increased slightly during the study period. However, the frequency of assignment of codes for the acute forms of coronary heart disease (which entail higher reimbursement) rose from 35.2 percent to 48.4 percent among discharged patients with cardiac disease after the institution of DRGs. The majority of this increase was associated with the code for unstable angina pectoris. The frequency of assignment of codes for the chronic forms of coronary heart disease (which entail lower reimbursement) decreased reciprocally, from 64.8 percent to 51.6 percent (P<0.001).

Conclusions Our data are consistent with the hypothesis that the prospective reimbursement system has influenced the assignment of hospital discharge codes in a way that would increase payment to hospitals. However, the data do not permit us to distinguish whether hospitals began to assign more precise diagnoses with the advent of the DRG system, or whether they began to favor diagnoses of acute conditions solely for financial reasons.

Much concern has been expressed about the effects of DRGs on medical practice,² physicians' patient loads,³ categorization of the severity of illness,^4,5 and quality of care⁶. Epidemiologists who rely on the codes in the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) for their research are understandably concerned that coding may have changed with the advent of DRGs⁷. Although theoretically the assignment of ICD-9-CM discharge codes and that of DRGs are separate processes, concern has been expressed that changing financial incentives through the use of the DRG system may influence the assignment of discharge diagnostic codes and thereby affect regional or national health care statistics. Simborg⁸ described the potential financial impact of a prospective payment system based on DRGs, demonstrating that "DRG creep" could dramatically alter reimbursement under the prospective payment system. Subsequently, Cohen and colleagues compared data from the National Hospital Discharge Survey for 1984, after the institution of the DRG reimbursement system, with data from the period 1979 through 1983⁷. They found a trend away from discharge diagnoses with lower reimbursement toward those with higher levels of reimbursement for patients with one of five peptic ulcer-related DRG assignments.

Beginning January 1, 1980, the Pawtucket Heart Health Program began surveillance for coronary heart disease in citizens of Pawtucket, Rhode Island, and citizens of a comparison city in Massachusetts. On October 1, 1983, Rhode Island, along with 45 other states, instituted the DRG-based reimbursement system. Four states, including Massachusetts, did not implement the DRG system until October 1, 1985. Thus, we were presented with an opportunity to determine whether the assignment of ICD-9-CM codes was influenced by the institution of the DRG system.

Methods

A standardized retrospective epidemiologic surveillance system is used by the Pawtucket Heart Health Program and two sister programs at Stanford University in California⁹ and the University of Minnesota in Minneapolis¹⁰. The Pawtucket system^11,12,13 uses hospital discharge data obtained from the hospital associations of Rhode Island and Massachusetts. The system was developed to assess the hospital records of over 96 percent of the citizens of the two communities^14,15. Subsequent data indicate, however, that the actual ascertainment of coronary heart disease among Pawtucket citizens is approximately 92 percent¹⁶. Hospital records were abstracted for patients 35 through 74 years of age who lived in one of the two cities, were discharged during the period 1980 through 1988 from one of the seven hospitals included in the surveillance program, and had coronary heart disease as indicated by the assignment of ICD-9-CM code 410 (acute myocardial infarction), 411 (unstable angina and other acute or subacute forms of ischemic heart disease), 412 (old myocardial infarction), 413 (angina pectoris), or 414 (other forms of chronic ischemic heart disease). We studied the records of 7893 patients from Pawtucket and 8130 patients from the comparison city. Measurements of creatine kinase enzymes were collected, along with values representing the upper limit of the normal range at the laboratory. Surgical procedures involving skeletal muscle were recorded; their occurrence resulted in a downgrading of the enzyme category (e.g., from abnormal to equivocal). Electrocardiograms were copied and were interpreted at the University of Minnesota Electrocardiographic Coding Center when interpretation was required by the computerized diagnostic algorithm.

The diagnostic algorithm^12,13 was adapted from an algorithm originally described by Gillum and colleagues¹⁷. The algorithm relies on composite clinical judgment as summarized by the ICD-9-CM codes. It defined a definite event as a definite myocardial infarction (in 98 percent of patients) or as definite fatal coronary heart disease (in 2 percent). If a patient was discharged with an acute form of ischemic heart disease (code 410 or 411), a finding of abnormal creatine kinase levels (i.e., more than twice the upper limit of normal) would result in an assigned diagnosis of definite myocardial infarction. For the remainder of the patients with discharge code 410 or 411, electrocardiographic corroboration was required for the determination of a definite event. In the case of chronic forms of ischemic heart disease (codes 412, 413, and 414), a finding of abnormal enzymes with electrocardiographic corroboration led to an algorithm-determined diagnosis of definite myocardial infarction. In-hospital deaths were considered to result from definite fatal coronary heart disease when a discharge code of 410 through 414 was applied and documented coronary heart disease was found at autopsy without a competing cause of death.

Data obtained at autopsy in 116 patients were reviewed by a cardiologist. Gross anatomical or microscopical evidence (or both) resulted in the diagnosis of a definite event. Of the 68 events designated as definite on the basis of autopsy findings, 33 were so designated by the algorithm (sensitivity, 48.5 percent). Of the 48 patients with no evidence of an acute coronary event at autopsy, 47 were also negative according to the algorithm (specificity, 97.9 percent). These results may be misleading because of the selectivity of the cases studied at autopsy.

Although the age composition of the population of each city has been relatively stable, results are presented as event rates per 10,000 residents 35 through 74 years of age. Denominators were constructed by projecting age- and sex-specific populations on the basis of the 1980 census data (Speare A: personal communication). The size of the 1980 population at each age was extended forward one year at a time with national age-specific survival rates. Births were added, and the populations were combined in five-year age groups for each calendar year. People who migrated out of the community were subtracted, and those who migrated in were added.

Two methods of analysis were used. First, the assignment of hospital discharge codes was analyzed quarter by quarter for each city. Differences in the assignments made before and after October 1983 were assessed by a t-test for Pawtucket residents, and differences in assignments before and after October 1985 were similarly assessed for residents of the Massachusetts city. Then the data were combined to evaluate the hypothesis that the start of the DRG-based prospective payment system, regardless of the actual year of initiation, had not influenced the assignment of discharge codes. In addition, we performed a second analysis with the patients stratified according to age (35 through 64 years old and 65 through 74) to evaluate our hypothesis among Medicare patients only as compared with non-Medicare patients. Statistical comparisons, performed with SAS software, were made with a t-test and a chi-square test. All P values are two-tailed.

This research protocol was approved the the Memorial Hospital institutional review board. Permission to obtain medical records for the study was granted by the respective departments of health and by the individual hospitals involved in the study.

Results

The combined quarterly rates at which patients in Rhode Island and Massachusetts were discharged with an ICD-9-CM code for ischemic heart disease (410 through 414) during the three years before and after the initiation of the prospective payment system are shown in Figure 1, along with the rate of definite coronary events obtained with the diagnostic algorithm. Time 0 was defined as the year in which the DRG-based hospital reimbursement system began (1983 in Rhode Island and 1985 in Massachusetts). It is particularly important to note that the rate of algorithm-assigned definite events remained essentially constant over the study period (t = -0.11, 26 df; P = 0.91). However, the rate changed at which ICD-9-CM discharge codes 410 through 414 were assigned. Figure 1 shows that the average quarterly rates at which these codes were assigned in the three years after the initiation of DRGs (135 per 10,000 population) increased from the average rate for the years before the initiation of DRGs (125 per 10,000 population) (t = -2.69, 26 df; P = 0.01).

View larger version (15K): [in this window] [in a new window]   Figure 1. Quarterly Rates of Coronary Events in Both Cities Studied, as Derived from ICD-9-CM Discharge Codes 410 through 414 and the Diagnostic Algorithm, before and after the Initiation of DRGs. The algorithm defined a definite event as a definite myocardial infarction (in 98 percent of patients) or as definite fatal coronary heart disease (in 2 percent). The vertical line indicates the year DRGs were instituted (1983 for Rhode Island, and 1985 for Massachusetts).

 
The rates of acute ischemic heart disease (as defined by ICD-9-CM codes 410 and 411) and chronic ischemic heart disease (codes 412 through 414) per 10,000 population are shown in Figure 2A and Figure 2B for residents of Pawtucket and the comparison city, respectively. The data, plotted for each calendar quarter, show a clear increase in the rate of assignment of diagnostic codes 410 and 411 beginning in October 1983 in Pawtucket. A slow upward trend in the Massachusetts community was accentuated in October 1985. There was an accompanying, though less striking, decline in the rate of assignment of codes 412 through 414 that occurred contemporaneously in each state. The differences between the assignment rate for codes 412 through 414 and that for codes 410 and 411 were analyzed with use of quarterly data from each state. In Rhode Island, the assignment rate for codes 412 through 414 in the years before the initiation of DRGs was higher than that for codes 410 and 411. Although the rate of chronic ischemic heart disease continued to be higher than the rate of acute disease in the years after the change in reimbursement systems, the difference between the two rates was much smaller (t = -8.36, 34 df; P<0.001). Similarly, the assignment rate for codes 412 through 414 per 10,000 residents of the Massachusetts city was much higher than that for codes 410 and 411 in the years before the initiation of DRGs. After October 1985, however, the rates converged and the assignment rate for codes 410 and 411 surpassed that for codes 412 through 414 (t = -9.98, 34 df; P<0.001). Most of the increase in the assignment of ICD-9-CM codes 410 and 411 can be attributed to an increase in the use of code 411.1 (unstable angina pectoris). The use of code 410 remained relatively stable throughout the study period.

View larger version (40K): [in this window] [in a new window]   Figure 2. Quarterly Rates of Hospital Discharge Diagnoses before and after the Institution of DRGs in Pawtucket, Rhode Island (Panel A), and a Massachusetts City (Panel B), 1980-1988. The solid lines denote assignment rates for ICD-9-CM codes 410 and 411, and the dotted lines rates for codes 412 through 414. The patients studied were 35 to 74 years old.

 
To test the possibility that the convergence of rates after the introduction of DRGs was merely a continuation of preexisting trends, we projected the data for the period before DRGs in the two states separately, using linear regression. In Massachusetts, the rates were projected to intersect in the final quarter of 1994, and in Rhode Island the trends diverged. The trend for the use of codes 412 through 414 was uniform in Massachusetts, but it dropped significantly at the time DRGs were instituted in Rhode Island (P<0.005). The assignment rate for codes 410 and 411 reached a significantly higher plateau in both Massachusetts (P<0.01) and Rhode Island (P<0.002). Together, these results indicate that the hypothesis of the continuation of a preexisting trend did not sufficiently explain these data.

The composite assignment of discharge codes for either acute (ICD-9-CM codes 410 and 411) or more stable, chronic (codes 412 through 414) forms of ischemic heart disease before and after the institution of the prospective payment system is shown in Table 1 with the data for Rhode Island and Massachusetts combined. The pre-DRG data from Rhode Island represent the period 1980 through the third quarter of 1983, and those for Massachusetts the period 1982 through the third quarter of 1985. Similarly, the post-DRG group contains data for Rhode Island from the fourth quarter of 1983 through the end of 1986 and data for Massachusetts from the fourth quarter of 1985 through the end of 1988. The proportion of code assignments to acute as compared with chronic ischemic heart disease changed significantly (chi-square = 221.8, P<0.001) after the initiation of DRGs. A larger proportion of patients were assigned to code 410 or code 411 after the institution of DRGs than were assigned before. Correspondingly, a smaller proportion of patients were assigned to codes 412 through 414 at discharge in the years after the change in the payment system than were assigned before.

View this table: [in this window] [in a new window]   Table 1. Assignment of Discharge Codes for Ischemic Heart Disease before and after the Institution of DRGs, in Both Cities Combined.

 
Table 2 shows annual data for Rhode Island and Massachusetts combined. Year 0 represents the year of implementation of the prospective payment system. This table shows that, overall, a change occurred in the assignment of ICD-9-CM codes 410 through 414 (chi-square = 207.3, 6 df; P<0.001). In the three years before the system change (years -3 through -1), the use of discharge codes 410 through 414 remained stable (chi-square = 1.0, 2 df; P = 0.60). Conversely, in the years after the institution of DRGs, there was an increasing use of the codes for acute (i.e., ICD-9-CM codes 410 and 411) rather than chronic (codes 412 through 414) forms of ischemic heart disease (chi-square = 9.58, 2 df; P = 0.008).

View this table: [in this window] [in a new window]   Table 2. Assignment of Discharge Codes before and after the Institution of DRGs, According to Year, in Both Cities Combined.

 
The assignment of discharge codes before and after the institution of the prospective payment system among patients 35 to 64 years old and 65 to 74 years old, considered as two separate groups, is shown in Table 3. The proportion of assignments to acute rather than chronic (or stable) forms of ischemic heart disease changed in both age groups after the initiation of DRGs. In the 35-to-64-year-old age group, 38 percent of the cases were assigned code 410 or 411 before the initiation of DRGs, as compared with 51 percent after their institution (chi-square = 103.85, 1 df; P<0.001). Similarly, in the 65-or-older age group, 32 percent of the pre-DRG cases were assigned code 410 or 411, as compared with almost 46 percent of the post-DRG cases (chi-square = 126.47, 1 df; P<0.001).

View this table: [in this window] [in a new window]   Table 3. Assignment of Discharge Codes before and after the Institution of DRGs, According to Age Group, in Both Cities Combined.

 
Discussion

We were fortunate to have an unforeseen "natural" experiment within our reach. The existence of ongoing systems of surveillance for ischemic heart disease in two adjacent states affected at different times by new hospital-reimbursement policies instituted by the Health Care Financing Agency provided an opportunity to determine whether the prospective payment system influenced health statistics and the assignment of discharge codes. Our epidemiologic surveillance system was designed to use objective data abstracted from hospital records and to use a computerized algorithm to assign fatal and nonfatal outcomes of coronary disease. We required the system to be robust and resilient to changes, such as those in diagnostic criteria or those caused by the implementation of the prospective payment system. Although there are possible limitations to this study, the stability of the number of diagnoses made by the algorithm¹³ suggests that neither changes in patterns of hospitalization nor changes in treatment patterns over the decade have influenced the results. We were unable to determine the effect of the greater availability of coronary angiography on the increased assignment of code 411.1 (for unstable angina pectoris).

We conclude from the data presented here that the actual prevalence of myocardial infarction did not change significantly between 1980 and 1988 in the two New England communities but that there were significant changes in the rates of assignment of hospital discharge codes for acute and chronic forms of ischemic heart disease. After the initiation of DRGs, there was a decrease in the rate of assignment of codes for chronic ischemic heart disease and a corresponding increase in the rate of assignment of codes for acute ischemic heart disease. The majority of this shift occurred with regard to code 411.1, or unstable angina, a diagnosis that has rather flexible clinical criteria. These results are similar to those reported by Feinleib et al⁵. These changes in coding patterns occurred among the populations of cities from two adjacent states in two different years. In each instance, the year of the change coincided with the year of institution of the DRG-based prospective hospital-reimbursement system. The alternative hypothesis -- that the shifts in the assignment of discharge codes reflect an actual increase in the prevalence of acute ischemic heart disease -- is not supported by data from the algorithm to which constant objective criteria have been applied for the years in question. We conclude that the prospective reimbursement system has influenced the assignment of hospital discharge codes.

Our data do not permit us to judge whether the accuracy of coding of the discharge diagnosis has increased or decreased as a consequence of this change. However, fewer patients discharged with code 410 after the implementation of DRGs were classified as having acute myocardial infarctions by our computer algorithm than before the implementation of DRGs.

In addition, our analyses with stratification according to age group reveal that the prevalence of this practice extends beyond Medicare patients. The implications of these analyses are important, since it appears that the institution of DRGs has affected discharge codes and health statistics for non-Medicare patients as well. It is possible that more uniform training for medical-record coders after the initiation of DRGs resulted in the application of the new coding protocols across the board, without regard to Medicare status. This may explain why our data also show an effect on discharge codes in the 35-to-64-year-old age group.

The reasons for the change in discharge coding practices are not clear. The possibility that medical-record coders have paid more attention to accurate assignment because of the increased awareness brought about by the DRG system is supported by the fact that data on patients from 35 to 64 years of age showed changes similar to those for Medicare patients. Accordingly, it seems likely that hospitals sharpened their coding accuracy in order to maximize their reimbursement under the DRG system; we have no reason to believe that hospitals were assigning false diagnoses for financial gain. Also, the fact that all age groups studied were affected is consistent with the hypothesis that physicians began to diagnose acute forms of coronary disease, especially unstable angina, more frequently and that coders simply followed the change in physicians' practice. Alternatively, it is possible, as Simborg⁸ and Cohen et al.⁷ have suggested, that new financial incentives have influenced diagnoses. Whether the changes were begun by physicians, medical-records departments, or business offices is unclear at present and requires further study.

The effect of altered discharge coding is potentially great. In the case of ischemic heart disease, it has been clear that the mortality rate has been declining since approximately 1963¹⁸. The ability to detect and track this important trend has depended on the assumption that the disease-labeling process has remained essentially stable over these years. The data in this paper cast doubt on the validity of that assumption for periods before and after the mid-1980s. Analyses of death certificates show that rates of death from acute myocardial infarction remained stable during the 1980s.

Our data pertain to ischemic heart disease, and we urge a note of caution with regard to the future surveillance of trends in ischemic heart disease in which hospital discharge data are used. As Cohen and colleagues⁷ have suggested, however, the phenomenon probably extends to other organ systems and disease groups. In efforts to minimize such vagaries in health care statistics, stable and reproducible criteria for the assignment of discharge codes should be developed in parallel with the institution of any diagnosis-dependent reimbursement system.

Supported in part by a grant (HL23629) from the National Heart, Lung, and Blood Institute.

We are indebted to Dr. Henry Feldman of the New England Research Institute for his diligent statistical and editing assistance, and to Dr. Thomas M. Lasater of the Pawtucket Heart Health Program for his assistance and support.

Source Information

From the Pawtucket Heart Health Program (A.R.A., K.L.L., J.L.M., R.A.C.) and the Department of Medicine (R.A.C.), Memorial Hospital of Rhode Island, Pawtucket; and the Departments of Community Health (A.R.A.) and Medicine (R.A.C.), Brown University School of Medicine, Providence -- all in Rhode Island.

References

1. Health Care Financing Administration. Prospective payments for Medicare inpatient hospital services. Fed Regist 1983;48:39752-39890. [Medline]
2. May JJ. Impact of diagnosis related groups on medical practice. Am J Cardiol 1985;56:16C-26C. [Medline]
3. Munoz E, Mulloy K, Goldstein J, Josephson J, Tenenbaum N, Wise L. Physicians' patient load per DRG, the consumption of hospital resources, and the incentives of the DRG prospective payment system. Acad Med 1990;65:533-538. [Medline]
4. Mullin RL. Diagnosis-related groups and severity: ICD-9-CM, the real problem. JAMA 1985;254:1208-1210. [Free Full Text]
5. Feinleib M, Havlik RJ, Gillum RF, Pokras R, McCarthy E, Moien M. Coronary heart disease and related procedures: National Hospital Discharge Survey data. Circulation 1989;79:Suppl I:I-13. 
6. Rogers WH, Draper D, Kahn KL, et al. Quality of care before and after implementation of the DRG-based prospective payment system: a summary of effects. JAMA 1990;264:1989-1994. [Free Full Text]
7. Cohen BB, Pokras R, Meads MS, Krushat WM. How will diagnosis-related groups affect epidemiologic research? Am J Epidemiol 1987;126:1-9. [Free Full Text]
8. Simborg DW. DRG creep: a new hospital-acquired disease. N Engl J Med 1981;304:1602-1604. [Medline]
9. Farquhar JW, Fortmann SP, Maccoby N, et al. The Stanford Five-City Project: design and methods. Am J Epidemiol 1985;122:323-334. [Free Full Text]
10. Blackburn H, Luepker R, Kline FG, et al. The Minnesota Heart Health Program: a research and demonstration project in cardiovascular disease prevention. In: Matarazzo JD, Weiss SM, Herd JA, Miller NE, Weiss SM, eds. Behavioral health: a handbook of health enhancement and disease prevention. New York: John Wiley, 1984:1171-8.
11. Carleton RA, Lasater TM, Assaf AR, Lefebvre RC, McKinlay SM. The Pawtucket Heart Health Program. I. An experiment in population-based disease prevention. R I Med J 1987;70:533-538.
12. McKinlay SM, Carleton RA, McKenney JL, Assaf AR. A new approach to surveillance for acute myocardial infarction: reproducibility and cost efficiency. Int J Epidemiol 1989;18:67-75. [Free Full Text]
13. Assaf AR, Banspach SW, Lasater TM, McKinlay SM, Carleton RA. The Pawtucket Heart Health Program. II. Evaluation strategies. R I Med J 1987;70:541-546.
14. Hospital service area analysis of Rhode Island community hospitals 1979-81. Technical report no. 31. Providence: Rhode Island Department of Health, 1986.
15. Massachusetts Health Data Consortium. The Massachusetts patient origin report. Waltham, Mass.: Health Data Consortium, 1980.
16. Department of Health and Human Services. The international classification of diseases, 9th rev., clinical modification: ICD-9-CM. 2nd ed. Washington, D.C.: Government Printing Office, 1980. (DHHS publication no. (PHS) 80-1260.)
17. Gillum RF, Fortmann SP, Prineas RJ, Kottke TE. International diagnostic criteria for acute myocardial infarction and acute stroke. Am Heart J 1984;108:150-158. [CrossRef][Medline]
18. Sytkowski PA. Declining mortality from cardiovascular disease. Compr Ther 1991;17:39-44. 

Abstract Letters Add to Personal Archive Add to Citation Manager Notify a Friend E-mail When Cited PubMed Citation

Related Letters:

The Prospective Payment System and Discharge Diagnoses for Coronary Heart Disease
Edelstein H., Edelstein H., Assaf A. R., Carleton R. A.
Extract | Full Text  
N Engl J Med 1994; 330:578-579, Feb 24, 1994. Correspondence

This article has been cited by other articles:

• Parikh, N. I., Gona, P., Larson, M. G., Fox, C. S., Benjamin, E. J., Murabito, J. M., O'Donnell, C. J., Vasan, R. S., Levy, D. (2009). Long-Term Trends in Myocardial Infarction Incidence and Case Fatality in the National Heart, Lung, and Blood Institute's Framingham Heart Study. Circulation 119: 1203-1210 [Abstract] [Full Text]  
• Chen, H.-F., Ho, C.-A., Li, C.-Y. (2006). Age and Sex May Significantly Interact With Diabetes on the Risks of Lower-Extremity Amputation and Peripheral Revascularization Procedures: Evidence from a cohort of a half-million diabetic patients.. Diabetes Care 29: 2409-2414 [Abstract] [Full Text]  
• Roger, V. L. (2004). Invited Commentary: Will Heart Attacks Be "Gone with the Century"?. Am J Epidemiol 160: 1147-1149 [Full Text]  
• Roger, V. L., Weston, S. A., Redfield, M. M., Hellermann-Homan, J. P., Killian, J., Yawn, B. P., Jacobsen, S. J. (2004). Trends in Heart Failure Incidence and Survival in a Community-Based Population. JAMA 292: 344-350 [Abstract] [Full Text]  
• Raggi, P., Shaw, L. J., Berman, D. S., Callister, T. Q. (2004). Prognostic value of coronary artery calcium screening in subjects with and without diabetes. J Am Coll Cardiol 43: 1663-1669 [Abstract] [Full Text]  
• Miller, D. R., Safford, M. M., Pogach, L. M. (2004). Who Has Diabetes? Best Estimates of Diabetes Prevalence in the Department of Veterans Affairs Based on Computerized Patient Data. Diabetes Care 27: B10-B21 [Abstract] [Full Text]  
• Luepker, R. V., Apple, F. S., Christenson, R. H., Crow, R. S., Fortmann, S. P., Goff, D., Goldberg, R. J., Hand, M. M., Jaffe, A. S., Julian, D. G., Levy, D., Manolio, T., Mendis, S., Mensah, G., Pajak, A., Prineas, R. J., Reddy, K. S., Roger, V. L., Rosamond, W. D., Shahar, E., Sharrett, A. R., Sorlie, P., Tunstall-Pedoe, H. (2003). Case Definitions for Acute Coronary Heart Disease in Epidemiology and Clinical Research Studies: A Statement From the AHA Council on Epidemiology and Prevention; AHA Statistics Committee; World Heart Federation Council on Epidemiology and Prevention; the European Society of Cardiology Working Group on Epidemiology and Prevention; Centers for Disease Control and Prevention; and the National Heart, Lung, and Blood Institute. Circulation 108: 2543-2549 [Full Text]  
• Teng, M., Wolf, M., Lowrie, E., Ofsthun, N., Lazarus, J. M., Thadhani, R. (2003). Survival of Patients Undergoing Hemodialysis with Paricalcitol or Calcitriol Therapy. NEJM 349: 446-456 [Abstract] [Full Text]  
• Kaul, P., Saunders, L. D., Roos, L. L., Kephart, G., Ghali, W. A., Walld, R., Warren, J. (2002). Trends in Utilization of Coronary Artery Bypass Surgery and Associated Outcomes: Alberta, Manitoba, and Nova Scotia. American Journal of Medical Quality 17: 103-112 [Abstract]  
• Detre, K. M., Holubkov, R. (2002). Coronary Revascularization on Balance: Robert L. Frye Lecture. Mayo Clin Proc. 77: 72-82 [Abstract]  
• McGovern, P. G., Jacobs, D. R. Jr, Shahar, E., Arnett, D. K., Folsom, A. R., Blackburn, H., Luepker, R. V. (2001). Trends in Acute Coronary Heart Disease Mortality, Morbidity, and Medical Care From 1985 Through 1997 : The Minnesota Heart Survey. Circulation 104: 19-24 [Abstract] [Full Text]  
• Derby, C. A., Lapane, K. L., Feldman, H. A., Carleton, R. A. (2001). Possible Effect of DRGs on the Classification of Stroke : Implications for Epidemiological Surveillance. Stroke 32: 1487-1491 [Abstract] [Full Text]  
• Fortmann, S. P., Varady, A. N. (2000). Effects of a Community-wide Health Education Program on Cardiovascular Disease Morbidity and Mortality The Stanfort Five-City Project. Am J Epidemiol 152: 316-323 [Abstract] [Full Text]  
• Thurman, D., Guerrero, J. (1999). Trends in Hospitalization Associated With Traumatic Brain Injury. JAMA 282: 954-957 [Abstract] [Full Text]  
• Goldberg, R. J., Yarzebski, J., Lessard, D., Gore, J. M. (1999). A two-decades (1975 to 1995) long experience in the incidence, in-hospital and long-term case-fatality rates of acute myocardial infarction: a community-wide perspective. J Am Coll Cardiol 33: 1533-1539 [Abstract] [Full Text]  
• Rosamond, W. D., Chambless, L. E., Folsom, A. R., Cooper, L. S., Conwill, D. E., Clegg, L., Wang, C.-H., Heiss, G. (1998). Trends in the Incidence of Myocardial Infarction and in Mortality Due to Coronary Heart Disease, 1987 to 1994. NEJM 339: 861-867 [Abstract] [Full Text]  
• Levy, D., Thom, T. J. (1998). Death Rates from Coronary Disease -- Progress and a Puzzling Paradox. NEJM 339: 915-917 [Full Text]  
• Shahar, E., McGovern, P. G., Pankow, J. S., Doliszny, K. M., Smith, M. A., Blackburn, H., Luepker, R. V. (1997). Stroke Rates During the 1980s: The Minnesota Stroke Survey. Stroke 28: 275-279 [Abstract] [Full Text]  
• McGovern, P. G., Pankow, J. S., Shahar, E., Doliszny, K. M., Folsom, A. R., Blackburn, H., Luepker, R. V., The Minnesota Heart Survey Investigators, (1996). Recent Trends in Acute Coronary Heart Disease -- Mortality, Morbidity, Medical Care, and Risk Factors. NEJM 334: 884-890 [Abstract] [Full Text]  
• Bittl, J. A., Strony, J., Brinker, J. A., Ahmed, W. H., Meckel, C. R., Chaitman, B. R., Maraganore, J., Deutsch, E., Adelman, B., The Hirulog Angioplasty Study Investigators, (1995). Treatment with Bivalirudin (Hirulog) as Compared with Heparin during Coronary Angioplasty for Unstable or Postinfarction Angina. NEJM 333: 764-769 [Abstract] [Full Text]  
• McKee, M., Clarke, A. (1995). Guidelines, enthusiasms, uncertainty, and the limits to purchasing. BMJ 310: 101-104 [Full Text]  
• Shahar, E., McGovern, P. G., Sprafka, J. M., Pankow, J. S., Doliszny, K. M., Luepker, R. V., Blackburn, H. (1995). Improved Survival of Stroke PatientsDuring the 1980s : The Minnesota Stroke Survey. Stroke 26: 1-6 [Abstract] [Full Text]  
• Edelstein, H., Edelstein, H., Assaf, A. R., Carleton, R. A. (1994). The Prospective Payment System and Discharge Diagnoses for Coronary Heart Disease. NEJM 330: 578-579 [Full Text]