Impact Of Ethnic Background On Clinical Characteristics And Cardiovascular Risk Factors Among Patients With Primary Hyperparathyroidism

Objective: To compare initial laboratory values and cardiovascular risk factors (CRF) among patients with primary hyperparathyroidism (PHPT) of different ethnic backgrounds.Methods: In this retrospective study, we reviewed 500 charts of PHPT patients who presented at Robert Wood Johnson University Hospital from January 2000 to December 2013. Among these patients were 46 African Americans (AA), 31 Asians (A), 19 Hispanics (H), and 404 Caucasians (C). The following characteristics were compared between the groups: age; body mass index (BMI); levels of serum calcium, intact parathyroid hormone (iPTH), 25-OH vitamin D, and 24-hour urine calcium; and parathyroid adenoma weight. Presence of CRF including BMI, diabetes mellitus, hypertension, and hyperlipidemia were also recorded for comparison. Associations of adenoma weight and several other parameters were also assessed.Results: Among different ethnic groups, AA patients with PHPT had higher iPTH levels compared to the A and C groups (P<.05), while 25-OHD levels were lower in the AA compared to the A and C groups (P<.05). Adenoma weight was significantly greater in AA than in C and A PHPT patients (P<.01). Adenoma weight was positively correlated with iPTH levels (r = 0.493, P <.001) and serum calcium levels (r = 0.255, P<.01). The group BMIs were C: 29.5 ± 6.9, AA: 33.8 ± 10, A: 24.7 ± 3.3, and H: 30.2 ± 6.6. AA patients had a lower rate of renal stones (9%) compared to other groups (21–29%, P<.05).Conclusion: The results of our study indicate that AA patients with PHPT presented with a more severe PHPT profile but had lower 24-hour urine calcium and fewer renal stones. AA patients with PHPT also had higher prevalence of CRF when compared to A and C.Abbreviations:A = AsianAA = African AmericanC = CaucasianCRF = cardiovascular risk factorsH = HispaniciPTH = intact parathyroid hormonePHPT = primary hyperparathyroidismPTH = parathyroid hormone     

Provider Practice Habits And Barriers To Care In Obesity Management In A Large Multicenter Health System

Objective: To identify provider recommendations and barriers in obesity management in a multicenter academic health system with extensive weight-loss management resources.Methods: A 26-question online survey was sent to attending physicians, trainees, and advanced practice providers in primary care specialties (internal medicine, family medicine, women's health) and endocrinology.Results: The survey response rate was 26% (111/430). Of respondents, 50% were internal medicine, 24% family medicine, 16% women's health, and 9% endocrinology. The majority were attending physicians (54%) and residents (40%). About 50% of respondents advised weight loss for a body mass index (BMI) >30 kg/m² in >50% of clinic visits. Limited time (82%) was the most common reason for not discussing weight loss, followed by the perception that discussion would not change patient behavior, insufficient knowledge, and discomfort broaching the subject. Common barriers to prescribing anti-obesity medications included limited experience (57%) and concern for adverse reactions (26%). Only 44% offered bariatric surgery to >50% of their patients who met criteria. Primary reasons for not referring included concerns of high surgical risk from comorbidities (57%) and potential adverse events (32%). Endocrinology had the highest referral to surgery. Attending physicians and fellows were more likely than residents to advise weight loss at lower BMI, offer medications, and refer to bariatric surgery.Conclusion: Our study reveals reluctance and lack of primary care confidence in managing obesity with pharmacotherapy and bariatric surgery, especially in the earlier stages of obesity. Barriers to care include lack of clinic time, limited experience, and concerns about treatment risks.Abbreviations: BMI = body mass index; HbA1c = hemoglobin A1c; IRB = Institutional Review Board     

Differences in Achieving Hba1C Goals Among Patients Seen by Endocrinologists and Primary Care Providers

Objective: This study evaluated whether there is a difference in the proportion of patients with type 2 diabetes who achieve a hemoglobin A1c (HbA1c) <7% within one year following treatment by an endocrinologist or primary care physician (PCP).Methods: We conducted a retrospective, propensity-matched study of patients with type 2 diabetes that were not optimally controlled and seen within our health system from 2007–2016. We assessed differences in short term health outcomes for patients following an endocrinologist visit compared to a PCP visit.Results: Patients seen by endocrinologists obtained HbA1c control at a faster rate (hazard ratio = 1.226; 95% confidence interval = 1.01 to 1.488) than those seen by a PCP. Furthermore, 34.5% and 29.5% of those treated by endocrinologists and PCPs, respectively, obtained HbA1c control by one year. Endocrinologists were more likely to prescribe a new medication class within 90 days than PCPs (14.1% versus 10.3%, respectively, P = .043). There was no difference in the risk of hospitalization between groups; 24.4% and 24.1% of those treated by endocrinologists and PCPs, respectively, were hospitalized within one year.Conclusion: Patients treated by endocrinology specialists were more likely to achieve a target HbA1c of <7% (53 mmol/mol) than those treated by PCPs in our health-care system. The performance difference may be partially explained by a higher rate of adding new classes of diabetes medications to the patient's pharmacologic regimens within 90 days by endocrinologists compared with PCPs. The long-term impact of these differences is unknown but has the potential to have an unfavorable impact on the health of the population.Abbreviations: ACP = American College of Physicians; CI = confidence interval; DUHS = Duke University Health System; HbA1c = hemoglobin A1c; HR = hazard ratio; PCP = primary care physician; SMD = standard mean difference     

Evaluation of Secondary Causes of Bone Loss in a Primary Care Setting

ObjectiveTo evaluate the clinical and laboratory work-up for secondary causes of bone loss in a primary care setting.MethodsWe conducted a retrospective review of medical records of 100 patients with either osteoporosis or osteopenia, who presented to a university-based primary care clinic. Patients with chronic kidney disease or a history of organ transplantation were excluded, as were premenopausal women.ResultsAge at menopause was ascertained in 43% of female patients. Only 2% of patients were asked specifically about symptoms of malabsorption, whereas a history of malignant disease or its treatment was elicited from 24%. Of the overall study group, 50% were asked about a history of thyroid disease and 18% about a history of liver disease. Testicular examination was documented in 40% of male patients. Serum calcium and creatinine, complete blood cell count, and thyroid function tests were evaluated in 100% of patients. Vitamin D status was assessed in only 1 patient; no study patient had a 24-hour urine collection for determination of calcium excretion. Serum parathyroid hormone was measured in 7% and serum phosphorus in 10% of patients. Sixty percent of male patients had their testosterone levels assessed. Although the serum creatinine level was determined in all patients, only 1% had a formal estimation of the creatinine clearance or glomerular filtration rate.ConclusionThe evaluation of secondary causes of bone loss was notably inadequate in our study population. Because most patients with osteoporosis or osteopenia are managed in the primary care setting, a distinct need exists for consensus guidelines and recommendations from professional endocrine organizations to advise primary care physicians in the appropriate diagnostic evaluation for secondary causes of bone loss in such patients. (Endocr Pract. 2009;15:410-414)     

Frequency of discussing HIV prevention and care topics with patients with HIV: Influence of physician gender,race/ethnicity,and practice characteristics

Background: Because people living with HIV now have greater life expectancy and reduced morbidity, there is a greater need for physicians to discuss HIV transmission risk reduction with these patients. Very limited data are available examining how frequently this discussion is held.Objective: We examined the frequency of discussing HIV prevention and HIV care topics, as well as the associations of gender, race/ethnicity, and practice characteristics of physicians caring for persons with HIV.Methods: In a 4-city (Miami, Atlanta, Baltimore, Los Angeles) survey, 417 licensed physicians who primarily cared for patients with HIV were mailed a 58-item questionnaire about how frequently they discussed HIV transmission risk reduction, adherence to HIV antiretroviral treatment (ART), adherence to opportunistic infection (OI) prophylaxis, and how to take medicines. Multivariate logistic regression analyses were used to examine the association between physician gender, race/ethnicity, and practice characteristics, and the frequency of discussing these topics.Results: A total of 317 physicians responded to the mailed questionnaire. Less than 40% of the physicians reported always discussing HIV transmission risk reduction with patients. In contrast, 83.9% and 65.0% reported always discussing adherence to ART and to OI prophylaxis, respectively. Of these physicians, 65.1% strongly agreed or somewhat agreed that they had sufficient time to provide the care and information needed to their patients. In multivariate analysis, the frequency of discussing HIV transmission risk reduction was higher for physicians who were Hispanic (P = 0.03) or Asian/Pacific Islander (P = 0.001), for physicians who reported they had enough time to provide care and information to patients (P = 0.003), and for physicians who cared for fewer patients (P = 0.05). The frequency of discussing HIV transmission risk reduction was suggestive of a higher rate for female physicians, but did not quite reach statistical significance.Conclusions: We observed a lower frequency of discussing the topic of HIV prevention compared with that of HIV care among the physicians surveyed. This infrequent discussion with patients with HIV represents a missed opportunity, and physicians should be encouraged to include discussion of prevention as a standard of care.     

The Effects of Perioperative Dexamethasone on Glycemic Control and Postoperative Outcomes

Objective: Perioperative glucocorticoids are commonly given to reduce pain and nausea in patients undergoing surgery. However, the glycemic effects of steroids and the potential effects on morbidity and mortality have not been systematically evaluated. This study investigated the association between perioperative dexamethasone and postoperative blood glucose, hospital length of stay (LOS), readmission rates, and 90-day survival.Methods: Data from 4,800 consecutive orthopedic surgery patients who underwent surgery between 2000 and 2016 within a single health system were analyzed retrospectively.Results: Patients with and without diabetes mellitus (DM) who were given a single dose of dexamethasone had higher rates of hyperglycemia during the first 24 hours after surgery as compared to those who did not receive dexamethasone (hazard ratio &lsqb;HR] was 1.81, and 95% confidence interval &lsqb;CI] was &lsqb;1.46, 2.24] for the DM cohort; HR 2.34, 95% CI &lsqb;1.66, 3.29] for the nonDM cohort). LOS was nearly 1 day shorter in patients who received dexamethasone (geometric mean ratio &lsqb;GMR] 0.79, 95% CI &lsqb;0.75, 0.83] for patients with DM; GMR 0.75, 95% CI &lsqb;0.72, 0.79] for patients without DM), and there was no difference in 90-day readmission rates. In patients without DM, dexamethasone was associated with a higher 90-day overall survival (99.07% versus 96.90%; P = .004).Conclusion: In patients with and without DM who undergo orthopedic surgery, perioperative dexamethasone was associated with a transiently higher risk of hyperglycemia. However, dexamethasone treatment was associated with a shorter LOS in patients with and without DM, and a higher overall 90-day survival rate in patients without DM, compared to patients who did not receive dexamethasone.Abbreviations: BMI = body mass index; CAD = coronary artery disease; CI = confidence interval; DM = diabetes mellitus; GMR = geometric mean ratio; HR = hazard ratio; IV = intravenous; LOS = length of stay; POD = postoperative day     

Asymptomatic Primary Hyperparathyroidism Exists in North India: Retrospective Data from 2 Tertiary Care Centers

Objective: Primary hyperparathyroidism (PHPT) has evolved into an asymptomatic disease in the west. In contrast, classic symptoms of PHPT have been reported to be common in the east. Here we describe clinical and biochemical profiles of patients diagnosed with PHPT between 2009 and 2012.Methods: This was a retrospective study conducted at 2 tertiary care centers in north India. All patients who underwent evaluation and surgery for primary hyperparathyroidism (PHPT) from January 2009 to December 2012 were included.Results: A total of 50 patients were studied between 2009 and 2012. Among them 31 (62%) were symptomatic and 19 (38%) were asymptomatic. The mean age (SD) was 48.3 (15.8) years, and the female to male ratio was 1.9:1. None of the patients had brown tumors or bone deformities. The asymptomatic group had significantly lower median adenoma weight (0.57 vs. 3.4 g, P<.05), a higher mean age (57.3 vs. 42.8 years, P<.05), and a lower median intact parathyroid hormone (iPTH) level (254.5 vs. 295 pg/mL, P<.05) compared to the symptomatic group. Adenoma weight was positively correlated with baseline serum calcium, iPTH, and alkaline phosphatase (ALP) levels.Conclusion: The asymptomatic form of PHPT was found in a significant percentage of north Indian patients in this study. Asymptomatic PHPT patients were older in age and had lower parathyroid adenoma weights and iPTH levels compared to symptomatic PHPT patients. Positive correlations were found between parathyroid adenoma weight and serum calcium, iPTH, and ALP levels.Abbreviations: ALP = alkaline phosphatase iPTH = intact parathyroid hormone MIBI = 2-methoxyisobutylisonitrile 25(OH)D = 25-hydroxyvitamin D3 PHPT = primary hyperparathyroidism PTH = parathyroid hormone     

Management of Obesity in Primary Care

SIMKIN-SILVERMAN, LAUREY R, RENA R WING. Management of obesity in primary care. Obesity is one of the most common presenting chronic medical conditions in primary care, yet it is not adequately treated. Physicians are often reluctant to counsel patients because of their limited training in treating chronic weight problems and negative attitudes toward obese patients. This study evaluated the feasibility of training physicians to provide weight control counseling to their patients. Eleven physicians were randomly assigned to either an obesity-counseling skills training group or to a control group. Physicians in the counseling skills group received training in behavioral and motivational weight control techniques using a five-step patient-centered model; they were also given patient materials for use in their practice. To evaluate pretraining to posttraining changes in physician counseling behavior, independent samples of patients with obesity were surveyed immediately after their visit to the physician's office. Physicians in both the counseling skills training and the control groups discussed weight with 42% to 47% of their patients at baseline. This increased to 89% in physicians who received training, whereas it remained at 42% in control physicians. Scores on a counseling measure also significantly increased from a mean of 2. 7 to 9. 9 in the counseling group, whereas scores in the control group remained low and stable (2. 3 and 1. 9, respectively). The training program was effective in improving the frequency and quality of counseling that physicians delivered to their patients with obesity. Future research is needed to evaluate the effect of physician counseling on the weight and physical activity level of their patients.     

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     

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     

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     

Impact of Type 2 Diabetes on Nonalcoholic Steatohepatitis and Advanced Fibrosis in Patients with Nonalcoholic Fatty Liver Disease

Objective: Type 2 diabetes mellitus (T2DM) is a risk factor for nonalcoholic fatty liver disease (NAFLD). The aim of this study was to investigate the effect of T2DM on nonalcoholic steatohepatitis (NASH) and advanced fibrosis.Methods: A total of 221 NAFLD patients who had undergone a liver biopsy were included in this study. Subjects were divided into a non-T2DM group and a T2DM group based on glycemic control. NASH was diagnosed by the joint presence of steatosis, ballooning, and lobular inflammation. The steatosis, activity, and fibrosis (SAF) score and NAFLD activity score (NAS) were used to evaluate the severity of NAFLD. The severity of liver fibrosis was evaluated based on the fibrosis stage.Results: The total percentages of NASH and advanced fibrosis in this study were 95.0% and 50.2%, respectively. The percentages of NASH and advanced fibrosis in NAFLD patients with T2DM were 96.1% and 56.5%, respectively, which were higher than those in the non-T2DM group. SAF score (especially activity and fibrosis stage) and NAS (especially ballooning) were higher in NAFLD patients with T2DM than in NAFLD patients without T2DM. Glycemic control and insulin resistance were positively associated with SAF, NAS, and fibrosis stage. Additionally, T2DM elevated the risk of a high NAS and advanced fibrosis.Conclusion: T2DM increases the risk of serious NASH and advanced fibrosis in patients with NAFLD. Liver biopsy can be performed in NAFLD patients with T2DM to confirm the stage of NAFLD. Screening of NASH and advanced fibrosis in NAFLD patients with T2DM is needed.Abbreviations: ALT = alanine aminotransferase; APO = apolipoprotein; AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; FPG = fasting plasma glucose; GGT = gamma-glutamyl transferase; HbA1c = hemoglobin A1c; HDL-c = high-density-lipoprotein cholesterol; ¹H-MRS = proton magnetic resonance spectroscopy; HOMA-IR = homeostasis model assessment of insulin resistance; 2hPG = postprandial plasma glucose at 2 hours; LDL-c = low-density-lipoprotein cholesterol; LFC = liver fat content; NAFLD = nonalcoholic fatty liver disease; NAS = NAFLD activity score; NASH = nonalcoholic steatohepatitis; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes mellitus; TC = total cholesterol; TG = triglyceride; SAF = steatosis, activity, and fibrosis; US-FLI = ultrasonographic fatty liver indicator     

Family History of Diabetes is Associated with Increased Risk of Recurrent Diabetic Ketoacidosis in Pediatric Patients

Objective: To determine the relationship between family history of diabetes mellitus (DM) and diabetic ketoacidosis (DKA) recurrence in youth with established type 1 diabetes mellitus (T1DM).Methods: We performed a retrospective chart review of patients with DKA admitted to a pediatric hospital between January, 2009, and December, 2014. We compared patients with recurrent (≥2 admissions) and nonrecurrent DKA (1 admission) and investigated patient level factors, including family history, that may be associated with DKA recurrence in pediatric patients with established T1DM.Results: Of the 131 subjects in the study, 51 (39%) subjects were in the recurrence group. Age ≥15 years old, public health insurance, and family history of T1DM or type 2 diabetes mellitus were associated with recurrent DKA admissions in both univariable and multivariable analyses. Family history was associated with DKA recurrence, with an incidence rate ratio of 1.5 (95% confidence interval = 1.0 to 2.3; P = .03). The association was not explained by type of familial diabetes, first degree relative status, or whether the family member lived in the household.Conclusion: Recognition that a positive family history of DM may be associated with a higher risk for DKA recurrence in patients with established T1DM may allow for targeted education and focus on a previously unidentified population at increased risk for DKA. Understanding the mechanism underlying the effect of family history of diabetes on the rates of DKA in patients with established T1DM may allow for improved identification and education of patients who may be at risk for DKA recurrence.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EHR = electronic health record; IBD = inflammatory bowel disease; IRR = incidence rate ratio; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Cost and policy implications from the increasing prevalence of obesity and diabetes mellitus

Background: The increasing prevalence of obesity and type 2 diabetes mellitus (DM), among children and adults, has posed important policy and budgetary considerations to government, health insurance companies, employers, physicians, and health care delivery systems.Objective: This article examines issues that are common to obesity and DM, including cost, clinical research, and treatment barriers, and proposes health policies to address these issues.Method: A manual review was performed of authoritative literature from peer-reviewed medical publications and recently published medical textbooks.Results: Obesity has been disproportionately prevalent among women and minorities, accompanied by an increased risk for DM. Women have experienced an increased risk for the metabolic syndrome, DM, and cardiovascular disease after onset of menopause. Obesity has been related to an increased risk for breast cancer among women, and may be a barrier that prevents women from being screened for colon and breast cancers. Maternal obesity has been a risk factor for gestational DM.Conclusions: Obesity and DM represent crises for the health care system and the health of the public, incurring costs and disease burden for adults and children, with increasing costs and prevalence expected unless more coordinated efforts to address the causes of these conditions at the national level are implemented. An investment in infrastructure to promote increased physical activity and reward weight management may be budget neutral in the long term by reducing the costs of morbidity and mortality. About two thirds of the costs from DM complications could be averted with appropriate primary care.     

Cultural Competence in Diabetes Mellitus Care: An Urgent Need

Background:Multicultural societies exist worldwide. Two important challenges can be appreciated in this scenario. Minority populations, due to a combination of genetic and lifestyle factors, have a particularly high risk for developing type 2 diabetes mellitus (DM). In addition, the quality of health care provided to minority populations, including that for DM, has lagged behind that provided to the white population. Because multiple medical, social, and cultural factors influence the development and progression of type 2 DM, management of patients becomes even more challenging if health care providers cannot identify and address the many contributing factors.Objective:The objective of this article was to raise awareness about the most common social and cultural factors that may influence the development of type 2 DM, progression of the disease, and adherence to treatment plans in patients from culturally diverse populations.Methods:A PubMed search of English-language articles published primarily between 1996 and 2006 was conductedusing the search terms Latino, Hispanic, culture, and diabetes, and a list of social and cultural factors associated with type 2 DM was created based on relevant articles and on the author's expertise and experience in the Latino Diabetes Initiative at the Joslin Diabetes Center.Results:There is increasing evidence that social and cultural factors such as body image, educational level, fears, general family integration and support, health literary, language, myths, and nutritional preferences, among others, may affect the success of the physician patient relationship and influence patients' adherence to treatment. Specific strategies to help clinicians remember to address multiple factors in the day-to-day management of patients with type 2 DM who are from culturally diverse populations include asking questions about patients' personal goals, ascertaining what behaviors they have adopted from mainstream culture, understanding how family ties may affect DM care and prevention, and being aware of patients' educational level when implementing any educational activity.Conclusions:The standards of DM care apply to every individual with this disease and should continue to be the core of every clinicians practice. However, improving health care providers' cultural competence may help improve the quality of care provided to minority groups and may ultimately reduce health care disparities. Increased cultural competence may also improve patient-provider trust and communication, as well as help patients adhere to prevention and treatment plans.     

Reducing oxidative stress in patients with type 2 diabetes mellitus: A primary care call to action

Background: Oxidative stress is believed to be the primary cause of the microvascular and macrovascular complications of type 2 diabetes mellitus (DM).Objective: This paper examines the evidence linking oxidative stress with long-term complications of type 2 DM and explores methods to minimize its effect.Methods: A literature search was performed to identify relevant studies for this review. Articles published in English from 2000 to 2008 were identified through searches of PubMed, Diabetes Care, and Google using the search terms oxidative stress, postprandial hyperglycemia, ACCORD Trial, and endothelial cell dysfunction.Results: The literature search identified 423 articles. Although chronic hyperglycemia can be effectively monitored and targeted using glycosylated hemoglobin concentrations, postprandial glucose levels are also important. Postprandial glucose excursions are exhibited by almost all patients with type 2 DM and are independent risk factors for cardiovascular morbidity and mortality. Furthermore, glucose fluctuations during the postprandial period elicit more oxidative stress than chronic, sustained hyperglycemia and can lead to endothelial dysfunction, vascular inflammation, and microvascular complications. In turn, endothelial dysfunction has been implicated in the development of vascular pathologies such as atherosclerosis. Pharmacologic interventions (eg, rapid-acting insulin analogues that target post-prandial glucose excursions) reduce oxidative stress and vascular inflammation and improve endothelial dysfunction.Conclusions: Given the important role of oxidative stress in the development of complications of type 2 DM, physi-cians should consider methods to reduce oxidative stress that may occur during both acute (postprandial) and chronic hyperglycemia. One critical aspect is to reduce postprandial glucose levels to <180 mg/dL while lowering fasting glucose levels to <110 mg/dL. By coaching patients to reach these goals, physicians and other health care professionals can minimize the risk of long-term complications of type 2 DM.     

Does Clinical Inertia Vary By Personalized A1C Goal? A Study Of Predictors And Prevalence Of Clinical Inertia In A U.S. Managed Care Setting

Objective: Clinical inertia is defined as failure to initiate or intensify therapy despite an inadequate treatment response. We assessed the prevalence and identified the predictors of clinical inertia among patients with type 2 diabetes (T2DM) based on personalized goals.Methods: Three hemoglobin A_1c (A1C) targets (American Diabetes Association A1C <7.0%; modified Ismail-Beigi et al; and Healthcare Effectiveness Data and Information Set) were used when identifying adult patients with T2DM who experienced above-target A1C values during the index period (July 1, 2008 to June 30, 2012) in a U.S. managed-care claims database (IMPACT™). Clinical inertia was defined as no intensification of treatment during the response period. Demographic and clinical characteristics were analyzed to identify predictors of treatment intensification.Results: Irrespective of A1C target, the majority of patients with T2DM (70.4 to 72.8%) experienced clinical inertia in the 6 months following the index event, with 5.3 to 6.2% of patients intensifying treatment with insulin. Patients with a lower likelihood of intensification were older, used >1 oral antidiabetes drug during the baseline period, and had an above-target A1C more recently. Treatment intensification was associated with patients who had point-of-service insurance, mental illness, an endocrinologist visit in the baseline period, or higher index A1C.Conclusion: The prevalence of clinical inertia among patients with T2DM in a U.S. managed-care setting is high and has increased over more recent years. Factors predicting increased risk of clinical inertia may help identify “at-risk” populations and assist in developing strategies to improve their management.Abbreviations:A1C = hemoglobin A_1cADA = American Diabetes AssociationCCI = Charlson Comorbidity IndexGLP-1 = glucagon-like peptide 1HEDIS = Healthcare Effectiveness Data and Information SetICD-9-CM = International Classification of Diseases, 9th Revision, Clinical ModificationOAD = oral antidiabetes drugPCPs = primary care physiciansT2DM = type 2 diabetes mellitus     

Prevalence of Type 2 Diabetes Mellitus In Patients With Primary Hyperparathyroidism

IntroductionTo determine the prevalence of type 2 diabetes mellitus (DM) in patients with primary hyperparathyroidism.MethodsPrevalence of type 2 DM in 609 patients with surgically verified primary hyperparathyroidism presenting between 1992 and 2003 in a tertiary care hospital setting was assessed retrospectively and compared with published data of type 2 DM prevalence in Michigan’s general population. Diagnosis of type 2 DM was made on the basis of documentation in the medical record of fasting or random blood glucose level thresholds according to the 1997 American Diabetes Association criteria, history of diabetes mellitus, or therapy with antidiabetic medications.ResultsThe crude prevalence rate of type 2 DM in patients with primary hyperparathyroidism was significantly higher than the prevalence in the Michigan general population (15.9% vs 7.8%, respectively; P < .001). However, this difference was not significant after age stratification except for the age group of 64 to 75 years. Because of the differential distribution of participants across age categories in the 2 groups, a standardized prevalence ratio (SPR) was estimated to account for the variance. After adjustment, there was no significant difference in the prevalence of DM between patients with primary hyperparathyroidism and the control population (SPR, 1.19 [95% confidence interval, 0.96-1.45]) except in men.ConclusionThe reported higher prevalence of type 2 DM in patients with primary hyperparathyroidism could not be confirmed in this large cohort of patients except for in older patients and in men. Because of the retrospective nature the study and the lack of appropriate controls, further studies are needed to confirm or refute these findings. (Endocr Pract. 2008;14:69-75)     

Unique Characteristics and Outcomes of Patients Diagnosed With Both Primary Thyroid and Primary Renal Cell Carcinoma

Objective: Patients with multiple primary malignancies may exhibit unique clinical characteristics that suggest a common predisposition or lead to different disease management. Given the association of primary thyroid (TC) and renal cell carcinoma (RCC), we characterized the clinicopathologic features of patients treated for both malignancies (TC/RCC).Methods: TC/RCC patients were identified through the institutional tumor registry and using data compiled by retrospective chart review. To compare with broader institutional and national cohorts, we examined patients admitted with TC or RCC institution-wide and reviewed the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program for these cancers.Results: Overall, 51% of patients developed TC before RCC, 27% developed RCC before TC, and 22% were diagnosed within 1 year of each other. The mean age at TC diagnosis was 52 ± 15 (18–77), which was significantly older than institutional TC patients (45 ± 16.5 years, P≤.0001), and the mean age at RCC diagnosis was 59 ± 12 (32–79). The TC/RCC cohort had a balanced sex distribution (51% female) compared with the institutional TC group (67% female, P = .0003) and the institutional RCC group (31% female, P<.0001). Similar age and sex ratio differences were seen when compared with SEER cohorts. In the TC/RCC cohort, 43% of patients developed other cancers (52% of females, 33% of males; P = .04); among the females, 45% developed breast cancer.Conclusion: Individuals who develop both TC and RCC may represent a unique subset of cancer patients. Further prospective research is warranted to explore the unanticipated association with breast cancer in female patients and to investigate a possible common pathogenesis underlying these malignancies.Abbreviations: RCC = renal cell carcinoma SEER = Surveillance, Epidemiology, and End Results SPC = second primary cancer SPTC = subsequent primary thyroid cancer TC = thyroid cancer VHL = von Hippel-Lindau