Biomedical subjects

David Edelman

Publications and source records attributed to David Edelman.

11 recordsLinked to original sources

PubMed2006

Colorectal cancer screening in young patients with poor health and severe comorbidity.

BACKGROUND: Young patients with poor health and a high risk of mortality from comorbid diseases have less chance of deriving a survival benefit from colorectal cancer screening. The aim of this study was to examine the relationship between colorectal cancer screening, self-reported health status, and comorbidity in a cohort of young patients, defined as patients between the ages of 50 and 64 years. METHODS: This was a single-center study conducted at a Veterans Affairs Medical Center from October 1, 1996, to March 30, 2004. Colorectal cancer screening information was obtained from 861 outpatients who completed the 36-Item Short-Form Health Survey (measure of health status) and the Kaplan-Feinstein Index (comorbidity score). Rates of screening were examined by age, physical component summary score, and severity of comorbid illnesses. RESULTS: Of the veterans, 45.9% had undergone screening within 5 years of their index visit. Screening rates were high among patients with moderate (44.9%) and severe (45.8%) comorbidities. When stratified by age group and physical component summary quartile, there was a trend toward increasing screening rates with better health status in the 50- to 54- and 55- to 59-year age groups. In the 60- to 64-year age group, high screening rates for patients with poorer health were observed: physical component summary quartiles 1 and 2, 55.7% and 54.2%, respectively. Fifty-two patients died during the 5-year follow-up; 37 (71.2%) had undergone screening for colorectal cancer. CONCLUSIONS: Young patients with potentially reduced life expectancy are being screened for colorectal cancer at relatively high rates. Comprehensive assessment of health status and comorbidity should guide cancer screening decisions, especially in individuals with reduced life expectancy who may obtain the least benefit from screening.

Barium Sulfate↗

PubMed2006

A multidimensional integrative medicine intervention to improve cardiovascular risk.

BACKGROUND: Integrative medicine is an individualized, patient-centered approach to health, combining a whole-person model with evidence-based medicine. Interventions based in integrative medicine theory have not been tested as cardiovascular risk-reduction strategies. Our objective was to determine whether personalized health planning (PHP), an intervention based on the theories and principles underlying integrative medicine, reduces 10-year risk of coronary heart disease (CHD). METHODS: We conducted a randomized, controlled trial among 154 outpatients age 45 or over, with 1 or more known cardiovascular risk factors. Subjects were enrolled from primary care practices near an academic medical center, and the intervention was delivered at a university Center for Integrative Medicine. Following a health risk assessment, each subject in the intervention arm worked with a health coach and a medical provider to construct a personalized health plan. The plan identified specific health behaviors important for each subject to modify; the choice of behaviors was driven both by cardiovascular risk reduction and the interests of each individual subject. The coach then assisted each subject in implementing her/his health plan. Techniques used in implementation included mindfulness meditation, relaxation training, stress management, motivational techniques, and health education and coaching. Subjects randomized to the comparison group received usual care (UC) without access to the intervention. Our primary outcome measure was 10-year risk of CHD, as measured by a standard Framingham risk score, and assessed at baseline, 5, and 10 months. Differences between arms were assessed by linear mixed effects modeling, with time and study arm as independent variables. RESULTS: Baseline 10-year risk of CHD was 11.1% for subjects randomized to UC (n=77), and 9.3% for subjects randomized to PHP (n=77). Over 10 months of the intervention, CHD risk decreased to 9.8% for UC subjects and 7.8% for intervention subjects. Based on a linear mixed-effects model, there was a statistically significant difference in the rate of risk improvement between the 2 arms (P=.04). In secondary analyses, subjects in the PHP arm were found to have increased days of exercise per week compared with UC (3.7 vs 2.4, P=.002), and subjects who were overweight on entry into the study had greater weight loss in the PHP arm compared with UC (P=.06). CONCLUSIONS: A multidimensional intervention based on integrative medicine principles reduced risk of CHD, possibly by increasing exercise and improving weight loss.

Aged↗

PubMed2006

Simultaneous control of intermediate diabetes outcomes among Veterans Affairs primary care patients.

BACKGROUND: Guidelines recommend tight control of hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), and blood pressure (BP) for patients with diabetes. The degree to which these intermediate outcomes are simultaneously controlled has not been extensively described. OBJECTIVE: Describe the degree of simultaneous control of HbA1c, LDL-C, and BP among Veterans Affairs (VA) diabetes patients defined by both VA and American Diabetes Association (ADA) guidelines. DESIGN: Cross-sectional cohort. PATIENTS: Eighty-thousand two hundred and seven VA diabetes patients receiving care between October 1999 and September 2000. MEASURMENTS: We defined simultaneous control of outcomes using 1997 VA Guidelines (in place in 2000) (HbA1c < 9.0%; LDL-C < 130 mg/dL; systolic BP < 140 mmHg; and diastolic BP < 90 mmHg) and 2004 ADA guidelines (HbA1c < 7.0%; LDL-C < 100 mg/dL; systolic BP < 130 mmHg; and diastolic BP < 80 mmHg). A patient is considered to have simultaneous control of the intermediate outcomes for a given definition if the average of measurements for each outcome was below the defined threshold during the study period. RESULTS: Using VA guidelines, 31% of patients had simultaneous control. Control levels of individual outcomes were: HbA1c (82%), LDL-C (77%), and BP (48%). Using ADA guidelines, 4% had simultaneous control. Control levels of individual outcomes were: HbA1c (36%), LDL-C (41%), and BP (23%). Associations between individual risk factors were weak. There was a modest association between LDL-C control and control of HbA1c (odds ratio [OR] 1.51; 95% confidence interval [CI] 1.44, 1.58). The association between LDL-C and BP control was clinically small (1.26; 1.21, 1.31), and there was an extremely small association between BP and HbA1c control (0.95; 0.92, 0.99). Logistic regression modeling indicates greater body mass index, African American or Hispanic race-ethnicity, and female gender were negatively associated with simultaneous control. CONCLUSION: While the proportion of patients who achieved minimal levels of control of HbA1c and LDL-C was high, these data indicate a low level of simultaneous control of HbA1c, LDL-C, and BP among patients with diabetes.

Adolescent↗

PubMed2005

Veterans Affairs primary care organizational characteristics associated with better diabetes control.

OBJECTIVE: To examine organizational features of Veterans Affairs (VA) primary care programs hypothesized to be associated with better diabetes control, as indicated by hemoglobin A1C (HbA1C) levels. STUDY DESIGN: Cross-sectional cohort. METHODS: We established a cohort of 224 221 diabetic patients using the VA Diabetes Registry and Dataset and VA corporate databases. The 1999 VHA (Veterans Health Administration) Survey of Primary Care Practices results were combined with individual patient data. A 2-level hierarchical model was used to determine the relationship between organizational characteristics and HbA1C levels in 177 clinics with 82 428 cohort members. RESULTS: The following attributes were associated with lower (better) HbA1C and were statistically significant at P < .05: greater authority to establish or implement clinical policies (lower by 0.21%), greater staffing authority (0.28%), computerized diabetes reminders (0.17%), notifying all patients of their assigned provider (0.21%), hiring needed new staff during fiscal year 1999 (0.18%), having nurses that report only to the program (0.16%), and being a large academic practice (0.27%). Associated with higher (worse) HbA1C were programs reporting that patients almost always see their assigned provider (greater by 0.18%), having a quality improvement program involving all nurses without all physicians (0.38%), having general internal medicine physicians report only to the program (0.20%), and being located at an acute care hospital (0.20%). CONCLUSION: Programs that are associated with better diabetes control simultaneously have teams that actively involve physicians in quality improvement, use electronic health information systems, have authority to respond to staffing and programmatic issues, and engage patients in care.

Aged↗

PubMed2004

Utility of hemoglobin A1c in predicting diabetes risk.

BACKGROUND: There is controversy surrounding the issue of whether, and how, to screen adults for type 2 diabetes. Our objective was to measure the incidence of new diabetes among outpatients enrolled in a health care system, and to determine whether hemoglobin A1c (HbA1c) values would allow risk stratification for patients' likelihood of developing diabetes over 3 years. METHODS: We conducted a prospective cohort study with 3-year follow-up at a single large, tertiary care, Department of Veterans Affairs Medical Center (VAMC). A convenience sample of 1,253 outpatients without diabetes, age 45 to 64, with a scheduled visit at the VAMC, were screened for diabetes using an initial HbA1c measurement. All subjects with HbA1c > or = 6.0% (normal, 4.0% to 6.0%) were invited for follow-up fasting plasma glucose (FPG). We then surveyed patients annually for 3 years to ascertain interval diagnosis of diabetes by a physician. The baseline screening process was repeated 3 years after initial screening. After the baseline screening, new cases of diabetes were defined as either the self-report of a physician's diagnosis of diabetes, or by HbA1c > or = 7.0% or FPG > or = 7.0 mmol/L at 3-year follow-up. The incidence of diabetes was calculated as the number of new cases per person-year of follow-up. RESULTS: One thousand two hundred fifty-three patients were screened initially, and 56 (4.5%) were found to have prevalent unrecognized diabetes at baseline. The 1,197 patients without diabetes at baseline accrued 3,257 person-years of follow-up. There were 73 new cases of diabetes over 3 years of follow-up, with an annual incidence of 2.2% (95% confidence interval [CI], 1.7% to 2.7%). In a multivariable logistic regression model, baseline HbA1c and baseline body mass index (BMI) were the only significant predictors of new onset diabetes, with HbA1c having a greater effect than BMI. The annual incidence of diabetes for patients with baseline HbA1c < or = 5.5 was 0.8% (CI, 0.4% to 1.2%); for HbA1c 5.6 to 6.0, 2.5% (CI, 1.6% to 3.5%); and for HbA1c 6.1 to 6.9, 7.8% (CI, 5.2% to 10.4%). Obese patients with HbA1c 5.6 to 6.0 had an annual incidence of diabetes of 4.1% (CI, 2.2% to 6.0%). CONCLUSIONS: HbA1c testing helps predict the likelihood that patients will develop diabetes in the future. Patients with normal HbA1c have a low incidence of diabetes and may not require rescreening in 3 years. However, patients with elevated HbA1c who do not have diabetes may need more careful follow-up and possibly aggressive treatment to reduce the risk of diabetes. Patients with high-normal HbA1c may require follow-up sooner than 3 years, especially if they are significantly overweight or obese. This predictive value suggests that HbA1c may be a useful test for periodic diabetes screening.

Blood Glucose↗

PubMed2003

Quality of care for patients diagnosed with diabetes at screening.

OBJECTIVE: Screening for diabetes has the potential to be an effective intervention, especially if patients have intensive treatment of their newly diagnosed diabetes and comorbid hypertension. We wished to determine the process and quality of diabetes care for patients diagnosed with diabetes by systematic screening. RESEARCH DESIGN AND METHODS: A total of 1,253 users of the Durham Veterans Affairs Medical Center aged 45-64 years who did not report having diabetes were screened for diabetes with an HbA(1c) test. All subjects with an HbA(1c) level > or =6.0% were invited for follow-up blood pressure and fasting plasma glucose (FPG) measurements. A case of unrecognized diabetes was defined as HbA(1c) > or =7.0% or FPG > or =126 mg/dl. For each of the 56 patients for whom we made a new diagnosis of diabetes, we notified the patient's primary care provider of this diagnosis. One year after diagnosis, we reviewed these patients' medical records for traditional diabetes performance measures as well as blood pressure. Follow-up blood pressure was also ascertained from medical record review for all subjects with HbA(1c) > or =6.0% who did not have diabetes. We compared blood pressure changes between patients with and without diabetes. RESULTS: Among patients diagnosed with diabetes at screening, 34 of 53 (64%) had evidence of diet or medical treatment for their diabetes, 42 of 53 (79%) had HbA(1c) measured within the year after diagnosis, 32 of 53 (60%) had cholesterol measured, 25 of 53 (47%) received foot examinations, 29 of 53 (55%) had eye examinations performed by an eye specialist, and 16 of 53 (30%) had any measure of urine protein. The mean blood pressure decline over the year after diagnosis for patients with diabetes was 2.3 mmHg; this decline was similar to that found for 183 patients in the study without diabetes (change in blood pressure, -3.6 mmHg). At baseline, 48% of patients with diabetes had blood pressure <140/90, compared with 40% of patients without diabetes; 1 year later, the same 48% of patients with diabetes had blood pressure <140/90, compared with 56% of patients without diabetes (P = 0.31 for comparing the change in percent in control between groups). CONCLUSIONS: Patients with diabetes diagnosed at screening achieve less tight blood pressure control than similar patients without diabetes. Primary care providers do not appear to manage diabetes diagnosed at screening as intensively as long-standing diabetes and do not improve the management of hypertension given the new diagnosis of diabetes.

Blood Pressure↗

PubMed2002

Relationship between obesity and health-related quality of life in men.

OBJECTIVE: Few studies examining the relationship between obesity and health-related quality of life (HRQOL) have used a medical outpatient population or demonstrated a relationship in men. Furthermore, most studies have not adequately considered comorbid illness. The goal of this study was to examine the relationship between body mass index (BMI) and HRQOL in male outpatients while considering comorbid illness. RESEARCH METHODS AND PROCEDURES: This cross-sectional study examined 1168 male outpatients from Durham Veterans' Affairs Medical Center. Multiple linear regression was used to examine the relationship of BMI with each subscale from the Medical Outcomes Study Short Form 36 while adjusting for age, race, comorbid illness, depression, and physical activity. RESULTS: Participants had a mean age of 54.7 +/- 5.6 years; 69% were white and 29% were African American. The distribution for BMI was as follows: 18.5 to <25 kg/m(2) (21%), 25 to <30 kg/m(2) (43%), 30 to <35 kg/m(2) (25%), 35 to <40 kg/m(2) (8%), and > or =40 kg/m(2) (3%). Mean Short Form 36 subscale scores were lower than U.S. norms by an average of 27%. Individuals with BMI > or =40 kg/m(2) had significantly lower scores compared with normal weight individuals on the Role-Physical and Vitality subscales. On the Physical Functioning and Physical Component subscales, lower scores were observed at BMI > or =35 kg/m(2). On the Bodily Pain subscale, lower scores were observed at BMI > or =25 kg/m(2). DISCUSSION: An inverse relationship between BMI and physical aspects of HRQOL exists in a population of male outpatients. Increased BMI was most prominently associated with bodily pain; this relationship should receive more attention in clinical care and research.

Body Mass Index↗

PubMed2002

Screening for diabetes in an outpatient clinic population.

BACKGROUND: Opportunistic disease screening is the routine, asymptomatic disease screening of patients at the time of a physician encounter for other reasons. While the prevalence of unrecognized diabetes in community populations is well known, the prevalence in clinical populations is unknown. OBJECTIVE: To describe the prevalence, predictors, and clinical severity of unrecognized diabetes among outpatients at a major medical center. DESIGN AND SETTING: A cross-sectional observational study at the Durham Veterans Affairs Medical Center. SUBJECTS: Outpatients without recognized diabetes (N=1,253). METHODS: We screened patients for diabetes by using an initial random Hemoglobin A1c (HbA1c) measurement, and then obtaining follow-up fasting plasma glucose (FPG) for all subjects with HbA1c > or =6.0%. A case of unrecognized diabetes was defined as either HbA1c > or =7.0% or FPG > or =7 mmol/L (126 mg/dL). Height and weight were obtained for all subjects. We also obtained resting blood pressure, fasting lipids, and urine protein in subjects with HbA1c > or =6.0%. RESULTS: The prevalence of unrecognized diabetes was 4.5% (95% confidence interval [CI], 3.4 to 5.7). Factors associated with unrecognized diabetes were the diagnosis of hypertension (adjusted odds ratio [OR], 2.5; P=.004), weight >120% of ideal (adjusted OR, 2.2; P=.02), and history of a parent or sibling with diabetes (adjusted OR, 1.7; P=.06). Having a primary care provider did not raise or lower the risk for unrecognized diabetes (P=.73). Based on the new diagnosis, most patients (61%) found to have diabetes required a change in treatment either of their blood sugar or comorbid hypertension or hyperlipidemia in order to achieve targets recommended in published treatment guidelines. Patients reporting a primary care provider were no less likely to require a change in treatment (P=.20). CONCLUSIONS: If diabetes screening is an effective intervention, opportunistic screening for diabetes may be the preferred method for screening, because there is substantial potential for case-finding in a medical center outpatient setting. A majority of patients with diabetes diagnosed at opportunistic screening will require a change in treatment of blood sugar, blood pressure, or lipids to receive optimal care.

Aged↗

PubMed2002

The loss rates for invasive prenatal testing in a specialised obstetric ultrasound practice.

OBJECTIVES: To establish the spontaneous miscarriage rate and compare it with the procedure related miscarriage rate for amniocentesis and chorionic villus sampling (CVS) by experienced operators. DESIGN: Retrospective audit over a two-year period of all patients having a consultation for prenatal diagnosis before 12 weeks gestation. SETTING: A specialised obstetric and gynaecological ultrasound practice. POPULATION: A total of 2366 patients, mostly over 35 years of age. METHODS: Between 1 July 1995 and 30 June 1997, all patients having a prenatal consultation decided between amniocentesis, CVS or no invasive testing. The CVS was performed either transabdominally or transcervically, depending on the position of the uterus and placenta. MAIN OUTCOME MEASURES: Delivery, termination of pregnancy for chromosomal abnormality or miscarriage. RESULTS: Over the two-year period, 2366 patients had a prenatal consultation and outcome data were available for all but 53 patients. After consultation, 346 patients decided not to have any prenatal testing and 29 (8.4%) of these had a spontaneous miscarriage. Amniocentesis was requested by 839 patients; however 10 miscarried before the scheduled procedure. After the amniocentesis, there were 13 terminations for chromosomal abnormality and three miscarriages. CVS was requested by 1128 patients; however, 23 miscarried before the scheduled procedure. Transabdominal CVS was performed in 665 patients, transcervical in 416 and in 24 cases the documentation of the method used was unclear. Eleven patients miscarried after the transabdominal CVS (1.65%) compared with nine patients miscarrying after the transcervical CVS (2.16%), which was not statistically significant (p = 0.27). CONCLUSION: In the group studied, the spontaneous miscarriage rate from nine weeks gestation is very high (8.4%). The procedure-related loss rate from amniocentesis was less than 1 in 280. Transabdominal CVS appears to have a lower fetal loss rate than transcervical CVS, but much larger numbers are needed to prove this.

Abortion, Spontaneous↗

PubMed2002

Impact of diabetes screening on quality of life.

OBJECTIVE: Diagnosis of a chronic illness can have a negative impact on patients' perception of their well-being ("labeling" effect). We sought to determine the effects of a new diagnosis of diabetes, discovered by systematic screening, on patients' health-related quality of life (HRQoL) 1 year after diagnosis. RESEARCH DESIGN AND METHODS: We performed diabetes screening at the Durham Veterans Affairs Medical Center of 1,253 outpatients, aged 45-64 years, who did not report having diabetes. Our initial screen was a serum HbA(1c) measurement. All subjects with HbA(1c) > or = 6.0% were invited for follow-up measurement of blood pressure and fasting plasma glucose. A case of unrecognized diabetes was defined as HbA(1c) > or = 7.0% or fasting plasma glucose > or = 7 mmol/dl. HRQoL was measured by Medical Outcomes Study Short Form 36 (SF-36) for all patients at baseline and 1 year after enrollment. Linear multivariable models were used to determine the independent effect of the new diagnosis of diabetes on HRQoL. RESULTS: Mean SF-36 Physical Component Score (PCS) for all patients was 36.2, and mean Mental Component Score (MCS) was 49.6. A total of 56 patients (4.5%) were found to have diabetes at screening. Patients found to have diabetes at screening had mean PCS of 35.6, which was not different from a mean PCS of 36.3 for those patients found not to have diabetes (P = 0.67). After adjusting for baseline PCS values, PCS 1 year after screening was similar for patients with and without diabetes found at screening (P = 0.95). Similarly, patients found to have diabetes at screening had mean MCS of 48.8; those found not to have diabetes had MCS of 49.6 (P = 0.70). After adjusting for baseline MCS values, MCS 1 year after screening was also similar between the two groups (P = 0.77). CONCLUSIONS: For patients with a new diagnosis of diabetes discovered through systematic screening, HRQoL is similar to patients found not to have diabetes. Furthermore, HRQoL scores remain stable over the year after screening. This suggests that screening for diabetes has minimal, if any, "labeling" effect with respect to HRQoL.

Attitude to Health↗

PubMedDate not supplied

Outpatient diagnostic errors: unrecognized hyperglycemia.

CONTEXT: To estimate the prevalence of unrecognized diabetes in a large managed care organization (MCO). DESIGN: Retrospective data analysis. PATIENTS AND SETTING: All patients over age 30 enrolled in the (staff-model) MCO of Duke University Medical Center between April 1996 and March 1999. DATA SOURCES: Merged database of MCO administrative, billing, and laboratory files and selected medical records. CASE DEFINITIONS: We identified all patients with abnormal test results suggestive of diabetes (i.e., hemoglobin [Hb] A1c > or = 7.0% or plasma glucose > or = 200 mg/dL) on one or more occasions. Patients were considered to have recognized diabetes if they had an ICD-9 diagnostic code for diabetes in the administrative database or a diagnosis mentioned in their medical record (on the basis of medical record review of a random sample of 30% of patients with abnormal test results and no ICD-9 code). Patients with unrecognized diabetes did not have an ICD-9 code or a medical record diagnosis. RESULTS: 1426 patients had laboratory tests suggestive of diabetes. Of these patients, 1122 (79%) had an ICD-9 diagnostic code for diabetes in the administrative database. Forty-six of the remaining 304 patients without ICD-9 codes had mention of diabetes on medical record review; thus, we estimate that as many as 258 (18% of patients with laboratory tests suggestive of diabetes) had unrecognized diabetes. When this estimate was restricted to findings that are most suggestive of diabetes (high HbA1c or two high plasma glucose tests), 124 (9%) patients had unrecognized diabetes. CONCLUSIONS: A substantial proportion of patients in an MCO have laboratory values suggestive of diabetes with no evidence that their providers have recognized this condition.

Academic Medical Centers↗