Comparison of the heart failure risk stratification performance of the CKD-EPI equation and the MDRD equation for estimated glomerular filtration rate in patients with Type 2 diabetes.

AIMS: To investigate the risk prediction and the risk stratification performances of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and the Modification of Diet in Renal Disease (MDRD) equation for estimated glomerular filtration rate (eGFRCKD - EPI vs. eGFRMDRD ) on heart failure in patients with Type 2 diabetes. METHODS: The study cohort included 12 258 White and 16 886 African American low-income patients with Type 2 diabetes who were 30-90 years old at baseline. Heart failure risk according to different eGFRCKD - EPI and eGFRMDRD categories was prospectively assessed. RESULTS: During a mean follow-up of 6.5 years, 5043 incident heart failure cases were identified. Multivariable-adjusted hazard ratios (HRs) of heart failure associated with the eGFRCKD - EPI categories [≥ 90 (reference group), 75-89, 60-74, 30-59 and < 30 ml/min/1.73 m(2) ] were 1.00, 1.11, 1.31, 1.75 and 2.93 (Ptrend < 0.001) for African American patients, and 1.00, 1.11, 1.08, 1.59 and 2.92 (Ptrend < 0.001) for White patients, respectively. The model with eGFRCKD - EPI and the other risk factors had significantly higher Harrell's C than the model with eGFRMDRD and other risk factors. Patients reclassified downward from eGFRMDRD 60-74 to eGFRCKD - EPI 30-59 and from eGFRMDRD 30-59 to eGFRCKD - EPI < 30 ml/min/1.73 m(2) showed higher heart failure risk than those who were not reclassified. CONCLUSIONS: Impaired kidney function (i.e. GFR < 60 ml/min/1.73 m(2) ), and even mildly decreased GFR (60-74 ml/min/1.73 m(2) ) estimated by both equations is associated with an increased risk of heart failure. Compared with GFR estimated using the MDRD equation, GFR estimated using the CKD-EPI equation added more predictive power to the model with the other risk factors. Also, eGFRCKD - EPI provided more accurate heart failure risk stratification than eGFRMDRD .

Racial disparities in cardiovascular risk factor control in an underinsured population with Type 2 diabetes.

AIM: To investigate the race-specific trend in attainment of the American Diabetes Association cardiovascular risk factor control goals (HbA1c <53 mmol/mol (7.0%), blood pressure <130/80 mmHg and LDL cholesterol <2.6mmol/l) by patients with Type 2 diabetes. METHODS: The study sample included 14 946 African-American and 12 758 white patients who were newly diagnosed with Type 2 diabetes between 2001 and 2009 in the Louisiana State University Hospital system. The race-specific percentages of patients' attainment of American Diabetes Association goals were calculated using the baseline and follow-up measurements of HbA1c , blood pressure, and LDL cholesterol levels. Logistic regression was used to test the difference between African-American and white patients. RESULTS: The percentage of patients who met all three American Diabetes Association goals increased from 8.2% in 2001 to 10.2% in 2009 (increased by 24.4%) in this cohort. Compared with African-American patients, white patients had better attainment of the following American Diabetes Association goals: HbA1c (61.4 vs. 55.1%), blood pressure (25.8 vs. 20.4%), LDL cholesterol (40.1 vs. 37.7%) and all three goals (7.3 vs. 5.1%). African-American and white patients generally had a better cardiovascular disease risk factor profile during follow-up when we assessed attainment of the American Diabetes Association goals by means of HbA1c , blood pressure and LDL cholesterol. CONCLUSIONS: During 2001-2009, the present low-income cohort of people with Type 2 diabetes generally experienced improved control of cardiovascular disease risk factors. White patients had better attainment of the American Diabetes Association cardiovascular risk factor control goals than their African-American counterparts.

Effectiveness of a comprehensive diabetes lower-extremity amputation prevention program in a predominantly low-income African-American population.

OBJECTIVE: To compare patient outcomes 1 year before and 1 year after enrollment in a comprehensive diabetes lower-extremity amputation prevention program. RESEARCH DESIGN AND METHODS: Outcome data were obtained on 197 patients enrolled in the Louisiana State University Health Sciences Center Diabetes Foot Program, which provides foot care to a predominantly low-income African-American population in Louisiana. Data were obtained using a structured interview administered by a registered nurse. Recordings were made of number of days with an open foot ulcer, number of times hospitalized for a foot problem, number of days spent in the hospital for a foot problem, number of visits to the emergency room for a foot problem, number of times an antibiotic was prescribed for a foot problem, number of all foot operations, number of lower-extremity amputations, and number of missed workdays for a foot problem. Data were obtained on all patients at the initial visit and at the 1-year follow-up. RESULTS: Analysis of data showed a reduction in foot-related ulcer days (-49%), hospitalizations, (-89%), hospital days (-90%), emergency room visits (-81%), antibiotic prescriptions, (-57%), foot operations (-87%), lower-extremity amputations (-79%), and missed workdays (-70%) after 1 year of comprehensive foot care compared with the 1-year period before treatment. CONCLUSIONS: This single cohort outcome study showed a large reduction in foot-related complications after the first year of comprehensive preventive foot care.

Improvements in diabetic care as measured by HbA1c after a physician education project.

OBJECTIVE: To measure the quality of diabetic care as indicated by HbA1c testing frequency and HbA1c values and to demonstrate improvement in care after an appropriate quality improvement intervention. RESEARCH DESIGN AND METHODS: The quality improvement project used computerized claims and laboratory data relating to HbA1c testing among the private practices of nine physicians caring for diabetic Medicare patients. Nine indicators evaluated three main areas: HbA1c testing frequency, HbA1c values, and frequency of office visits. A quality improvement intervention consisting of a physician component and a patient component was implemented. RESULTS: There were 835 patients and 4,367 visits studied. After the intervention, statistically significant improvements in HbA1c testing frequency and values were noted. Rates of seized opportunities for testing HbA1c improved from 17.7 to 33.9% (P < 0.0001). The percentage of patients with a current HbA1c value improved from 31.3 to 47.6% (P < 0.0001). The median HbA1c values fell from 8.5 to 7.8% (P < 0.006). Patients achieving good or fair control (HbA1c < or = 8%) improved from 43.8 to 56.9% (P = 0.007). The median time between physician visits fell from 70 days to 60 days (P < 0.0001). CONCLUSIONS: The study revealed that HbA1c testing was underused but that after a quality improvement initiative, a significant increase in testing use could be achieved. The quality improvement initiative also resulted in significant improvements in glycemic control. The techniques and interventions used in this study could be used to intervene in larger populations and practice settings to improve medical care for diabetic patients.

Quantifying utilization and practice variation of electroconvulsive therapy.

The objective of this study was to quantify inpatient electroconvulsive therapy (ECT) utilization and its practice variation within the State of Louisiana using Medicare data for beneficiaries age 65 years and older. The Louisiana Medicare claims (MedPar) history and the Medicare beneficiary denominator files for fiscal years 1993 and 1994 were used for analysis. Statistical techniques used were: chi 2 to determine significance of the proposed null hypothesis, and the modified systemic component of variance (SCV) to determine the magnitude of variation between the individual parish utilization rates for ECT. The ECT utilization rate for the Louisiana Medicare population was found to be 2.38 per 10,000 person-years, falling well within the range of previous ECT utilization studies in the United States. The chi 2 value was 0.0003 when comparing parishes, indicating the presence of significant nonrandom variation. The SCVs of inpatient treatment for major depression and impatient ECT were 0.47 and 1.34, respectively. Inpatient ECT in this population demonstrates high geographic variability. Further research is required to determine and quantitate the factors responsible for the geographic variation in inpatient ECT utilization within the Louisiana Medicare population.

Patterns of physician use of angiotensin converting enzyme inhibitors in the inpatient treatment of congestive heart failure.

Randomized clinical trails have demonstrated that angiotensin-converting enzyme (ACE) inhibitors reduce mortality, improve symptoms, and decrease hospitalization rates in congestive heart failure (CHF) patients with impaired left ventricular systolic function. Guidelines from the Agency for Healthcare Policy and Research (AHCPR) endorse the use of ACE inhibitors in eligible CHF patients and note their underutilization in practice. Randomly selected records of 1,212 Medicare CHF patients in Louisiana, discharged between July 1993 and October 1993, were reviewed. Abstracted data were used to characterize practice patterns and pertinent clinical factors influencing current ACE inhibitor utilization by practicing physicians in eligible Medicare CHF patients admitted to acute care hospitals. A total of 1,133 patients admitted were discharged alive; mean age was 77.6 years (64% female; 68% white). One third of the patients (34%) were already receiving ACE inhibitors on admission; of these, 85% were discharged on ACE inhibitors. The remaining 66% of patients were not on an ACE inhibitor on admission; only 35% of these are documented to have been placed on an ACE inhibitor(s) at discharge. Overall, a significantly large number of CHF patient charts (48%) lacked documentation of LV systolic function assessments. On multivariate logistic regression modeling, the following key clinical variables were positively related to the prescription of ACE inhibitors: low ejection fraction, dyspnea and orthopnea, normal creatinine levels, high diastolic blood pressure, cardiomegaly, and increasing age. Among patients with low ejection fraction, factors contributing to not being discharged on ACE inhibitors included: high creatinine levels, history of myocardial infarction or ischemic heart disease, renal failure, and being African American. This study documents the underutilization of ACE inhibitors in patients with impaired left ventricular systolic function. Results suggest the need for increased physician-based educational efforts concerning the use of ACE inhibitors in CHF patients, and also for increasing left ventricular systolic function assessments and documentation of findings in patient charts.

Quality improvement projects: attributing variation between physician and nonphysician causes.

Healthcare systems may be unique among the systems that have used a total quality management (TQM) approach to improve quality. The physician is considered centrally placed within the system, because most, and possibly all, core processes are driven by physician decision. A conceptual approach is offered to aid early understanding and success in improvement efforts. This approach is to begin TQM efforts with a distinction between physician causes and all other causes of variation. The example provided is a collaborative, clinical, quality improvement project with six acute-care facilities involving hip fracture surgery. In this project, the process of interest was the prevention of thrombus formation. The variation in facility performance on this indicator was split into two parts: physician and nonphysician. The variable "nonphysician" included all other causes of variation. Facility responses to this presentation are recounted.

Assessing the quality of project data by means of a data sufficiency categorization scheme.

Improving the quality of gathered or abstracted data is often an important part of a quality improvement project's early stages. This is especially so if indicators will be compared across providers or if various data elements will be used for severity adjustment. One common data problem is missing data. This paper describes a flowchart-based approach for assessing the magnitude of missing data problems. The approach is demonstrated by means of two indicators currently used in multihospital cooperative improvement projects. The approach results in assigning each observation (e.g., patient record) in a sample into one of five data categories. These categories follow standard definitions advanced by the Joint Commission on Accreditation of Healthcare Organizations. Two of the categories tally observations with missing data problems. Assessment of missing data can be viewed as one component of reliability assessment, and its relationship to other forms of reliability assessment is discussed, with emphasis on the relationship to interrater agreement.