Econsults to Endocrinologists Improve Access and Change Primary Care Provider Behavior

Objective: To describe the impact of an eConsult service on access to endocrinologists along with its influence on changing primary care provider (PCP) course of action and referral behaviors.Methods: Established in 2011, the Champlain BASE (Building Access to Specialist Care via eConsult) service allows PCPs to access specialist care in lieu of traditional face-to-face referrals. We conducted a cross-sectional study of eConsult cases submitted to endocrinologists by PCPs between April 15, 2011 and January 31, 2015. Usage data and PCP responses to a mandatory closeout survey were analyzed to determine eConsult response times, PCP practice behavior, referral outcomes, and provider satisfaction. Each eConsult was coded according to clinical topic and question type based on established taxonomies.Results: A total of 180 PCPs submitted 464 eConsults to endocrinology during the study period. Specialist median response time was 7 hours, with 90% of responses occurring within 3 days. PCPs received a new or additional course of action in 62% of submitted cases. An unnecessary face-to-face referral was avoided in 44% of all eConsults and in 67% of cases where the PCP initially contemplated requesting a referral. Over 95% of cases were rated at least 4 out of 5 in value for PCPs and their patients.Conclusion: The use of eConsult improves access to endocrinologists by providing timely, highly rated practice-changing clinical advice while reducing the need for patients to attend face-to-face office visits.Abbreviations:BASE = Building Access to Specialist Advice through eConsultPCP = primary care physicianUCSF = University of California San Francisco     

Achieving Weight and Activity Goals Among Diabetes Prevention Program Lifestyle Participants

Objective: The Diabetes Prevention Program (DPP) showed that intensive lifestyle intervention reduced the risk of diabetes by 58%. This paper examines demographic, psychosocial, and behavioral factors related to achieving weight loss and physical activity goals in the DPP lifestyle participants. Research Methods and Procedures: Lifestyle participants (n = 1079; mean age = 50.6, BMI = 33.9, 68% female, and 46% from minority groups) had goals of 7% weight loss and 150 min/wk of physical activity. Goal achievement was assessed at the end of the 16‐session core curriculum (approximately week 24) and the final intervention visit (mean = 3.2 years) as a function of demographic, psychosocial, and behavioral variables. Results: Forty‐nine percent met the weight loss goal and 74% met the activity goal initially, while 37% and 67%, respectively, met these goals long‐term. Men and those with lower initial BMI were more likely to meet activity but not weight loss goals. Hispanic, Asian, and Native Americans were more likely to meet the long‐term activity goals, and whites were more likely to meet the initial weight loss goal. In multivariate analyses, meeting the long‐term weight loss goal and both activity goals increased with age, while psychosocial and depression measures were unrelated to goal achievement. Dietary self‐monitoring was positively related to meeting both weight loss and activity goals, and meeting the activity goal was positively related to meeting the weight loss goal. Participants who met initial goals were 1.5 to 3.0 times more likely to meet these goals long‐term. Discussion: Success at meeting the weight loss and activity goals increased with age. Initial success predicted long‐term success. Self‐monitoring and meeting activity goals were related to achieving and sustaining weight loss.     

Transgender Care by Endocrinologists in the United States

Objective: Little is known about the attitudes and practice patterns of transgender care by endocrinologists. The objective of this study was to assess the knowledge, practice patterns, access, and competency among a representative sample of endocrinologists in the mid-Atlantic region of the United States.Methods: An anonymous 19-item paper survey was administered to 80 conference attendees that included 61 adult endocrinologists, 13 endocrinology fellows, 2 pediatric endocrinologists, and 4 nurse practitioners/physician assistants.Results: The participation rate was estimated to be ~80%. Sixty-three percent of endocrinology providers were willing to provide transgender care, but the majority of providers had no current transgender patients under their care. Half of providers had read the Endocrine Society's clinical practice guidelines, with a rate of 70% among those under age 40. Nonetheless, only 20% were “very” comfortable in discussing gender identity and/or sexual orientation, and 41% described themselves as “somewhat” or “very” competent to provider transgender care.Conclusion: Endocrinologists and other providers have received more education and training on transgender care within the past decade. Nevertheless, many participants have had little opportunity to care for transgender patients, and they rate their competency to do so as low. Research is needed on how to increase comfort levels regarding gender identity among those who provider care to transgender patients.     

Preferences and Self‐efficacy for Diet Modification Among Primary Care Patients

Limited data exist about patient preferences and self‐efficacy for different diets. We explored the preferences and self‐efficacy of primary care patients for reducing fat, reducing carbohydrates, or reducing calories. We conducted a self‐administered survey study of 71 primary care patients (response rate of 52%). Of patients, 59%, 53%, and 60% had high self‐efficacy for reducing fat, reducing carbohydrates, and reducing calories from their diet, respectively. Preferences were comparable, with 76% highly willing to reduce fat, 76% highly willing to reduce carbohydrates, and 72% of patients highly willing to reduce calories/portions. Female sex and higher BMI were associated with high self‐efficacy for all three dietary changes. A significantly higher proportion of nonwhites than whites had high self‐efficacy for reducing fat and reducing carbohydrates (P < 0.05). Obese patients in our study have similarly high willingness and self‐efficacy and comparable preferences for adopting changes consistent with three popular diets.     

Preconception Counseling in Women with Diabetes by Primary Care Providers and Perceived Barriers to Initiating this Discussion

Objective: To evaluate the frequency that women with diabetes mellitus seen by a primary care provider receive preconception counseling; to identify barriers to preconception counseling; and to determine differences between family medicine, internal medicine, and obstetrics and gynecology.Methods: This was a retrospective cohort study in which medical records were reviewed to determine if preconception counseling was done. An electronic survey evaluated how often preconception counseling was provided and identified perceived barriers to preconception counseling. Characteristics of those who received preconception counseling and those who did not, and survey responses between disciplines, were compared.Results: Women that met inclusion criteria: 577 (18.9% of whom received preconception counseling). A total of 88.7% of primary care providers indicated that preconception counseling was important, but only 39.2% reported that they regularly provide preconception counseling.Conclusion: Women with diabetes mellitus do not regularly receive preconception counseling by primary care providers. Lack of time and knowledge were the most commonly identified barriers to providing preconception counseling.Abbreviations: DM = diabetes mellitus; FM = family medicine; HbA1c = hemoglobin A1c; IM = internal medicine; LVHN = Lehigh Valley Health Network; Ob/Gyn = obstetrics/gynecology; PC = preconception counseling; PCP = primary care provider     

Differences in Bone Age Readings Between Pediatric Endocrinologists and Radiologists

Objective: Pediatric endocrinologists (PEs) have historically read their own bone age (BA) X-rays based on the belief that radiologists do not accurately interpret these tests. Whether there are significant differences in BA interpretations between these two groups has not been systematically explored. The objectives of the study were to compare BA readings performed by PEs and radiologists and determine whether clinical variables were associated with discrepancies in readings.Methods: A retrospective chart review of children presenting for initial evaluation of short stature (SS) or precocious puberty (PP) who had a BA X-ray completed was performed. Clinical variables analyzed included age, gender, ethnicity, Tanner stage, body mass index, reason for referral, radiologist location (Children's vs. outside hospital), and PE and radiologist BA readings using the Greulich and Pyle method.Results: Of 103 patients aged 9 ± 3.66 years, there was a discrepancy between the PE and radiologist readings on 70 images (68%). Discrepancy ranged from -1.5 to 3.5 years, with a mean of 4 ± 12 months. Patients referred for PP were more likely to have discrepant interpretations than those referred for SS (8.4 months vs. 0.8 months; P = .007). No differences were seen in interpretations between in-house radiologists and those at outside hospitals.Conclusion: Radiologists interpreted BAs differently than PEs in the majority of images. In patients referred for PP, BAs were interpreted as being older by radiologists than by PEs, perhaps due to bias from the reason for referral. Our results provide support for continued independent BA interpretations by PEs.Abbreviations: BA = bone age; GP = Greulich and Pyle; PE = pediatric endocrinologist; PP = precocious puberty; SS = short stature     

Differences in COPD Patient Care by Primary Family Caregivers: An Age-Based Study

Background

Because Taiwan has the fastest aging rate among developed countries, care for the elderly is becoming more prominent in the country. Primary family caregivers play an important role in patient health and health promotion behavior. Chronic obstructive pulmonary disease (COPD), an age-related disease, is a major public health problem with high morbidity and mortality and can be a long-term burden for family members; however, little attention has been given to the differences in COPD care between elder caregivers and other caregivers. This study aimed to investigate the differences between elder family caregivers and non-elder family caregivers caring for COPD patients in Taiwan, including caring behavior, caregiver response, and caring knowledge.

Methods

This cross-sectional study was conducted between March 2007 and January 2008; 406 primary family caregivers of COPD patients from the thoracic outpatient departments of 6 hospitals in north-central Taiwan were recruited to answer questionnaires measuring COPD characteristics, care behavior, caregiver response, and COPD knowledge. All questionnaires, which addressed caregiver knowledge, care behaviors, and care reactions, were shown to have acceptable validity and reliability, and the data were analyzed using univariate and generalized linear model techniques.

Results

The elder caregivers group had 79 participants, and the non-elder caregivers comprised 327 participants. The COPD-related knowledge scale results were positively correlated with the family caregiver caring behavior scale, suggesting that better COPD-related knowledge among family caregivers may result in improved caring behavior. After adjusting for all possible confounding factors, the elder caregivers had significantly lower COPD-related knowledge than the non-elder caregivers (P<0.001). However, there were no significant differences in the family caregiver caring behavior scale or the caregiver reaction assessment scale between the two groups.

Conclusions

Elder family caregivers require increased education regarding medications and preventive care in COPD patient care.     

Comparison Of Hba1C Goals Proposed By An Algorithm To Those Set By Different Members Of Healthcare Teams Within The Dartmouth Hitchcock Health System

Objective: An individualized approach is recommended by guidelines when establishing hemoglobin A1c (HbA1c) goals. Setting a goal requires experience and awareness; it is time consuming and not always trivial. A previous study proposed an algorithm for assessing the recommended HbA1c target according to individual patient characteristics. Few investigations have explored the variation of HbA1c goals recommended among different types of providers.Methods: We conducted a survey regarding practice settings, practices related to diabetes mellitus type 2, and HbA1c targets recommended to patients. Our objective was to compare HbA1c goals between Dartmouth Hitchcock Healthcare System providers (including endocrinology department, general internal medicine, and family medicine providers) and a previously validated algorithm. The clinical cases presented were those used in the previously published study.Results: The survey was sent to 228 healthcare providers of whom 81 (35.5%) responded. As recommended by the guidelines, healthcare providers individualize their patients' glycemic goals. The glycemic goals proposed by the providers in our institution were similar to those proposed by the international diabetologists and by the algorithm.Conclusion: Our results further validate the proposed algorithm within a heterogeneous population of healthcare providers. The algorithm could help establish glycemic goals and assist healthcare systems in providing more standardized care.Abbreviations: ADA = American Diabetes Association; APRN = advanced practice registered nurse; DH = Dartmouth Hitchcock Healthcare System; FM = family medicine; GIM = general internal medicine; HbA1c = hemoglobin A1c; PA-C = certified physician assistant     

Hba1C Control And Cost-Effectiveness in Patients With Type 2 Diabetes Mellitus Initiated On Canagliflozin or A Glucagon-Like Peptide 1 Receptor Agonist in A Real-World Setting

Objective: To compare glycated hemoglobin (HbA1c) control and medication costs between patients with type 2 diabetes mellitus (T2DM) treated with canagliflozin 300 mg (CANA) or a glucagon-like peptide 1 receptor agonist (GLP-1 RA) in a real-world setting.Methods: Adults with T2DM newly initiated on CANA or a GLP-1 RA (index date) were identified from IQVIA™ Real-World Data Electronic Medical Records U.S. database (March 29, 2012–April 30, 2016). Inverse probability of treatment weighting accounted for differences in baseline characteristics. HbA1c levels at 3-month intervals were compared using generalized estimating equations. Medication costs used wholesale acquisition costs.Results: For both cohorts (CANA: n = 11,435; GLP-1 RA: n = 11,582), HbA1c levels decreased at 3 months postindex and remained lower through 30 months. Absolute changes in mean HbA1c from index to 3 months postindex for CANA and GLP-1 RA were -1.16% and -1.21% (patients with baseline HbA1c ≥7% &lsqb;53 mmol/mol]); -1.54% and -1.51% (patients with baseline HbA1c ≥8% &lsqb;64 mmol/mol]); and -2.13% and -1.99% (patients with baseline HbA1c ≥9% &lsqb;75 mmol/mol]), respectively. Postindex, CANA patients with baseline HbA1c ≥7% had similar HbA1c levels at each interval versus GLP-1 RA patients, except 9 months (mean HbA1c, 7.75% &lsqb;61 mmol/mol] vs. 7.86% &lsqb;62 mmol/mol]; P = .0305). CANA patients with baseline HbA1c ≥8% and ≥9% had consistently lower HbA1c numerically versus GLP-1 RA patients and statistically lower HbA1c at 9 (baseline HbA1c ≥8% or ≥9%), 27, and 30 months (baseline HbA1c ≥9%). Continuous 12-month medication cost $3,326 less for CANA versus GLP-1 RA.Conclusion: This retrospective study demonstrated a similar evolution of HbA1c levels among CANA and GLP-1 RA patients in a real-world setting. Lower medication costs suggest CANA is economically dominant over GLP-1 RA (similar effectiveness, lower cost).Abbreviations:AHA = antihyperglycemic agentBMI = body mass indexCANA = canagliflozin 300 mgDCSI = diabetes complications severity indexeGFR = estimated glomerular filtration rateEMR = electronic medical recordGLP-1 RA = glucagon-like peptide 1 receptor agonistHbA1c = glycated hemoglobinICD-9-CM = International Classification of Diseases–Ninth Revision–Clinical ModificationICD-10-CM = International Classification of Diseases–Tenth Revision–Clinical ModificationIPTW = inverse probability of treatment weightingITT = intent-to-treatMPR = medication possession ratioPDC = proportion of days coveredPS = propensity scorePSM = propensity score matchingQuan-CCI = Quan-Charlson comorbidity indexSGLT2 = sodium-glucose cotransporter 2T2DM = type 2 diabetes mellitusWAC = wholesale acquisition cost     

Health Care Resource Use and Costs Among Patients with Cushing Disease

ObjectiveTo assess health care costs associated with Cushing disease and to determine changes in overall and comorbidity-related costs after surgical treatment.MethodsIn this retrospective cohort study, patients with Cushing disease were identified from insurance claims databases by International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes for Cushing syndrome (255.0) and either benign pituitary adenomas (227.3) or hypophysectomy (07.6x) between 2004 and 2008. Each patient with Cushing disease was age- and sex-matched with 4 patients with nonfunctioning pituitary adenomas and 10 population control subjects. Comorbid conditions and annual direct health care costs were assessed within each calendar year. Postoperative changes in health care costs and comorbidity-related costs were compared between patients presumed to be in remission and those with presumed persistent disease.ResultsOf 877 identified patients with Cushing disease, 79% were female and the average age was 43.4 years. Hypertension, diabetes mellitus, and hyperlipidemia were more common among patients with Cushing disease than in patients with nonfunctioning pituitary adenomas or in control patients (P < .01). For every calendar year studied, patients with Cushing disease had significantly higher total health care costs (2008: $26440 [Cushing disease] vs $13 708 [nonfunctioning pituitary adenomas] vs $5954 [population control], P < .01). Annual outpatient costs decreased significantly for patients in remission after surgery, and there was a trend towards improvement in overall disease-related costs with remission. A significant increase in postoperative health care costs was observed in those patients not in remission.ConclusionsPatients with Cushing disease had more comorbidities than patients with nonfunctioning pituitary adenomas or control patients and incurred significantly higher annual health care costs; these costs decreased after successful surgery and increased after unsuccessful surgery. (Endocr Pract. 2011;17:681-690)     

American Association of Clinical Endocrinologists and American College of Endocrinology Comprehensive Clinical Practice Guidelines for Medical Care of Patients with Obesity

Objective: Development of these guidelines is mandated by the American Association of Clinical Endocrinologists (AACE) Board of Directors and the American College of Endocrinology (ACE) Board of Trustees and adheres to published AACE protocols for the standardized production of clinical practice guidelines (CPGs).Methods: Recommendations are based on diligent review of clinical evidence with transparent incorporation of subjective factors.Results: There are 9 broad clinical questions with 123 recommendation numbers that include 160 specific statements (85 [53.1%] strong [Grade A], 48 [30.0%] intermediate [Grade B], and 11 [6.9%] weak [Grade C], with 16 [10.0%] based on expert opinion [Grade D]) that build a comprehensive medical care plan for obesity. There were 133 (83.1%) statements based on strong (best evidence level [BEL] 1 = 79 [49.4%]) or intermediate (BEL 2 = 54 [33.7%]) levels of scientific substantiation. There were 34 (23.6%) evidence-based recommendation grades (Grades A-C = 144) that were adjusted based on subjective factors. Among the 1,788 reference citations used in this CPG, 524 (29.3%) were based on strong (evidence level [EL] 1), 605 (33.8%) were based on intermediate (EL 2), and 308 (17.2%) were based on weak (EL 3) scientific studies, with 351 (19.6%) based on reviews and opinions (EL 4).Conclusion: The final recommendations recognize that obesity is a complex, adiposity-based chronic disease, where management targets both weight-related complications and adiposity to improve overall health and quality of life. The detailed evidence-based recommendations allow for nuanced clinical decision-making that addresses real-world medical care of patients with obesity, including screening, diagnosis, evaluation, selection of therapy, treatment goals, and individualization of care. The goal is to facilitate high-quality care of patients with obesity and provide a rational, scientific approach to management that optimizes health outcomes and safety.Abbreviations:A1C = hemoglobin A1cAACE = American Association of Clinical EndocrinologistsACE = American College of EndocrinologyAMA = American Medical AssociationBEL = best evidence levelBMI = body mass indexCCO = Consensus Conference on ObesityCPG = clinical practice guidelineCSS = cross-sectional studyCVD = cardiovascular diseaseEL = evidence levelFDA = Food and Drug AdministrationGERD = gastroesophageal reflux diseaseHDL-c = high-density lipoprotein cholesterolIFG = impaired fasting glucoseIGT = impaired glucose toleranceLDL-c = low-density lipoprotein cholesterolMNRCT = meta-analysis of non-randomized prospective or case-controlled trialsNE = no evidencePCOS = polycystic ovary syndromeRCT = randomized controlled trialSS = surveillance studyU.S = United States     

Clinical Profile of Nonalcoholic Fatty Liver Disease Among Young Patients With Type 1 Diabetes Mellitus Seen at a Diabetes Speciality Center in India

ObjectiveTo estimate the prevalence and clinical profile of nonalcoholic fatty liver disease (NAFLD) among young type 1 diabetes mellitus (T1DM) patients at a tertiary care diabetes center in India.MethodsElectronic medical records of T1DM patients (age at first diagnosis of T1DM ≤ 25 years) registered between January 1992 and May 2013 who had undergone ultrasonography and denied history of any alcohol intake (n = 736) were reviewed. NAFLD was diagnosed if there was any degree of fatty liver. Retinopathy was initially assessed by direct and indirect ophthalmoscopy and later by retinal photography. Nephropathy was diagnosed if urine protein excretion was > 500 mg/day, and neuropathy was diagnosed if a patient’s vibration perception threshold on biothesiometry was ≥ 20 V.ResultsA total of 204/736 (27.7%) T1DM patients had NAFLD. Compared to T1DM subjects without NAFLD those with NAFLD had higher body mass index (BMI) (18.9 ± 4.2 vs. 20.2 ± 4.7 kg/m², P < .001), waist circumference (67.9 ± 13.2 vs. 71.9 ± 13.3 cm, P < .05), systolic blood pressure (110 ± 15 vs. 116 ± 18 mm Hg, P < .001) and diastolic blood pressure (72 ± 9 vs. 74 ± 10 mm Hg, P < .05), while fasting blood glucose (201 ± 101 vs. 183 ± 101 mg/dL, P < .05) and alkaline phosphatase (419 [12.5] vs. 315 [15.8], P < .001) levels were lower in patients with T1DM with NAFLD. Multiple logistic regression analysis showed a significant association between NAFLD and retinopathy (odds ratio [OR]: 2.01, 95% confidence interval [CI]: 1.13-3.43; P = .017, after adjusting for sex, duration of diabetes, overweight/obesity, hypertension, fasting plasma glucose, nephropathy, and nephropathy (OR: 1.89, 95% CI: 1.02-3.50; P = .042), after adjusting for sex and fasting plasma glucose.ConclusionsThis study suggests that NAFLD is also seen among T1DM patients and that it has an independent and significant association with retinopathy and nephropathy. (Endocr Pract. 2014;20:1249-1257)     

Palliative Care among Heart Failure Patients in Primary Care: A Comparison to Cancer Patients Using English Family Practice Data

Introduction

Patients with heart failure have a significant symptom burden and other palliative care needs often over a longer period than patients with cancer. It is acknowledged that this need may be unmet but by how much has not been quantified in primary care data at the population level.

Methods

This was the first use of Clinical Practice Research Datalink, the world''s largest primary care database to explore recognition of the need for palliative care. Heart failure and cancer patients who had died in 2009 aged 18 or over and had at least one year of primary care records were identified. A palliative approach to care among patients with heart failure was compared to that among patients with cancer using entry onto a palliative care register as a marker for a palliative approach to care.

Results

Among patients with heart failure, 7% (234/3 122) were entered on the palliative care register compared to 48% (3 669/7 608) of cancer patients. Of heart failure patients on the palliative care register, 29% (69/234) were entered onto the register within a week of their death.

Conclusions

This confirms that the stark inequity in recognition of palliative care needs for people with heart failure in a large primary care dataset. We recommend a move away from prognosis based criteria for palliative care towards a patient centred approach, with assessment of and attention to palliative needs including advance care planning throughout the disease trajectory.     

Antibody-independent activation of C1. I. Differences in the mechanism of C1 activation by nonimmune activators and by immune complexes: C1r-independent activation of C1s by cardiolipin vesicles

C1 activation is controlled by the regulatory protein C1-inhibitor (C1-INH). In contrast to immune-complex-induced activation, which is insensitive to C1-INH, antibody-independent activation of C1 is modulated by C1-INH. The mechanisms regulating nonimmune activation were studied with two phospholipids varying in their capacity to activate C1 in the presence of C1-INH: cardiolipin (CL) and phosphatidylglycerol (PG). Whereas C1-INH consistently suppressed activation by PG vesicles, a dose-dependent increase in C1 activation was measured with CL vesicles above 40 mole %. A similar dose-response binding of C1s requiring C1q, but not C1r, was detected only on CL vesicles, but neither on PG vesicles nor on immune complexes. This binding was Ca2+-dependent, suggesting that dimeric C1s is involved and was inhibited by spermine. The C1q-bound C1s was specifically cleaved at 37 degrees C into its active 58 kDa and 28 kDa chains, in the absence of C1r. On the addition of anti-CL antibodies, the C1q-mediated cleavage of C1s by CL vesicles was specifically inhibited. The cleavage of C1r on CL vesicles was also determined. When macromolecular C1 was offered in the presence of C1-INH, C1r cleavage was detected; however, the presence of C1s was a critical factor for C1r activation, because it was required on CL vesicles, but not on immune complexes. These results show that nonimmune activation of C1 presents specific features which distinguish it from immune complex-induced activation. These characteristics varied with the capacity of antibody-independent activators to activate C1 in the presence of C1-INH.     

Comparing Cognitive and Somatic Symptoms of Depression in Myocardial Infarction Patients and Depressed Patients in Primary and Mental Health Care

Depression in myocardial infarction patients is often a first episode with a late age of onset. Two studies that compared depressed myocardial infarction patients to psychiatric patients found similar levels of somatic symptoms, and one study reported lower levels of cognitive/affective symptoms in myocardial infarction patients. We hypothesized that myocardial infarction patients with first depression onset at a late age would experience fewer cognitive/affective symptoms than depressed patients without cardiovascular disease. Combined data from two large multicenter depression studies resulted in a sample of 734 depressed individuals (194 myocardial infarction, 214 primary care, and 326 mental health care patients). A structured clinical interview provided information about depression diagnosis. Summed cognitive/affective and somatic symptom levels were compared between groups using analysis of covariance, with and without adjusting for the effects of recurrence and age of onset. Depressed myocardial infarction and primary care patients reported significantly lower cognitive/affective symptom levels than mental health care patients (F (2,682) = 6.043, p = 0.003). Additional analyses showed that the difference between myocardial infarction and mental health care patients disappeared after adjusting for age of onset but not recurrence of depression. These group differences were also supported by data-driven latent class analyses. There were no significant group differences in somatic symptom levels. Depression after myocardial infarction appears to have a different phenomenology than depression observed in mental health care. Future studies should investigate the etiological factors predictive of symptom dimensions in myocardial infarction and late-onset depression patients.     

Opportunistic Screening For Diabetes And Prediabetes Using Hemoglobin A1C In An Urban Primary Care Setting

Objective: In 2010, the American Diabetes Association (ADA) endorsed hemoglobin A1c (HbA1c) as 1 of 3 tests for diabetes and prediabetes screening. We describe the use of HbA1c testing for screening during routine visits in primary care clinics of an urban health care system in the U.S.Methods: In 2013 to 2014, retrospective analyses of deidentified electronic health records over a 2-year period, January 2010 to December 2011, for academic private practices (clinic group 1) and federally-qualified Community Health Centers (clinic group 2) identified 11,885 adults without prior diabetes or recent HbA1c testing. We estimated the proportion of patients eligible for screening according to ADA and U.S. Preventative Services Task Force (USPSTF) guidelines and calculated the potential yield of previously undiagnosed diabetes or prediabetes among those who received at least 1 HbA1c test.Results: Overall, 3,316 and 5,613 patients of clinic groups 1 and 2 (75.2% of each) were eligible for screening by ADA guidelines, while only 1,764 (39.9%) of clinic group 1 and 3,799 (50.9%) of clinic group 2 were eligible by USPSTF guidelines. In those eligible by either guideline, 731 (21.4%) patients of clinic group 1 and 1,293 (21.5%) of clinic group 2 received HbA1c testing; among these, in 71 (9.7%) and 121 (9.4%) patients from clinic groups 1 and 2, respectively, HbA1c results were in the diabetes range, and in 330 (45.2%) and 733 (56.7%), results were in the prediabetes range.Conclusion: In urban primary care settings, appropriate HbA1c testing could result in the detection of a substantial number of previously undiagnosed diabetes and prediabetes cases needing treatment.Abbreviations:ADA = American Diabetes AssociationBMI = body mass indexCI = confidence intervalEHR = electronic health recordHbA1c = hemoglobin A1cHTN = hypertensionICD = International Classification of DiseasesIFCC = International Federation of Clinical ChemistryOGTT = oral glucose tolerance testUSPSTF = U.S. Preventative Services Task Force