483 resultados para hyperglycemia
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BACKGROUND Low testosterone, acute and chronic stress and hypercoagulation are all associated with hypertension and hypertension-related diseases. The interaction between these factors and future risk for coronary artery disease in Africans has not been fully elucidated. In this study, associations of testosterone, acute cardiovascular and coagulation stress responses with fibrinogen and von Willebrand factor in African and Caucasian men in a South African cohort were investigated. METHODS Cardiovascular variables were studied by means of beat-to-beat and ambulatory blood pressure monitoring. Fasting serum-, salivary testosterone and citrate coagulation markers were obtained from venous blood samples. Acute mental stress responses were evoked with the Stroop test. RESULTS The African group demonstrated a higher cardiovascular risk compared to Caucasian men with elevated blood pressure, low-grade inflammation, chronic hyperglycemia (HbA1c), lower testosterone levels, and elevated von Willebrand factor (VWF) and fibrinogen levels. Blunted testosterone acute mental stress responses were demonstrated in African males. In multiple regression analyses, higher circulating levels of fibrinogen and VWF in Africans were associated with a low T environment (R(2) 0.24-0.28; p≤0.01), but only circulating fibrinogen in Caucasians. Regarding endothelial function, a low testosterone environment and a profile of augmented α-adrenergic acute mental stress responses (diastolic BP, D-dimer and testosterone) were associated with circulating VWF levels in Africans (Adj R(2) 0.24; p<0.05). CONCLUSIONS An interdependence between acute mental stress, salivary testosterone, D-dimer and vascular responses existed in African males in their association with circulating VWF but no interdependence of the independent variables occurred with fibrinogen levels.
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PRINCIPALS The liver plays an important role in glucose metabolism, in terms of glucolysis and gluconeogenesis. Several studies have shown that hyperglycemia in patients with liver cirrhosis is associated with progression of the liver disease and increased mortality. However, no study has ever targeted the influence of hypoglycemia. The aim of this study was to assess the association of glucose disturbances with outcome in patients presenting to the emergency department with acute decompensated liver cirrhosis. METHODS Our retrospective data analysis comprised adult (≥16 years) patients admitted to our emergency department between January 1, 2002, and December 31, 2012, with the primary diagnosis of decompensated liver cirrhosis. RESULTS A total of 312 patients were eligible for study inclusion. Two hundred thirty-one (74.0%) patients were male; 81 (26.0%) were female. The median age was 57 years (range, 51-65 years). Overall, 89 (28.5%) of our patients had acute glucose disturbances; 49 (15.7%) of our patients were hypoglycemic and 40 (12.8%) were hyperglycemic. Patients with hypoglycemia were significantly more often admitted to the intensive care unit than hyperglycemic patients (20.4% vs 10.8%, P < .015) or than normoglycemic patients (20.4% vs 10.3%, P < .011), and they significantly more often died in the hospital (28.6% hypoglycemic vs 7.5% hyperglycemic, P < .024; 28.6% hypoglycemic vs 10.3% normoglycemic P < .049). Survival analysis showed a significantly lower estimated survival for hypoglycemic patients (36 days) than for normoglycemic patients (54 days) or hyperglycemic patients (45 days; hypoglycemic vs hyperglycemic, P < .019; hypoglycemic vs normoglycemic, P < .007; hyperglycemic vs normoglycemic, P < .477). CONCLUSION Hypoglycemia is associated with increased mortality in patients with acute decompensated liver cirrhosis. It is not yet clear whether hypoglycemia is jointly responsible for the increased short-term mortality of patients with acute decompensated liver cirrhosis or is only a consequence of the severity of the disease or the complications.
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IMPORTANCE International guidelines advocate a 7- to 14-day course of systemic glucocorticoid therapy in acute exacerbations of chronic obstructive pulmonary disease (COPD). However, the optimal dose and duration are unknown. OBJECTIVE To investigate whether a short-term (5 days) systemic glucocorticoid treatment in patients with COPD exacerbation is noninferior to conventional (14 days) treatment in clinical outcome and whether it decreases the exposure to steroids. DESIGN, SETTING, AND PATIENTS REDUCE: (Reduction in the Use of Corticosteroids in Exacerbated COPD), a randomized, noninferiority multicenter trial in 5 Swiss teaching hospitals, enrolling 314 patients presenting to the emergency department with acute COPD exacerbation, past or present smokers (≥20 pack-years) without a history of asthma, from March 2006 through February 2011. INTERVENTIONS Treatment with 40 mg of prednisone daily for either 5 or 14 days in a placebo-controlled, double-blind fashion. The predefined noninferiority criterion was an absolute increase in exacerbations of at most 15%, translating to a critical hazard ratio of 1.515 for a reference event rate of 50%. MAIN OUTCOME AND MEASURE Time to next exacerbation within 180 days. RESULTS Of 314 randomized patients, 289 (92%) of whom were admitted to the hospital, 311 were included in the intention-to-treat analysis and 296 in the per-protocol analysis. Hazard ratios for the short-term vs conventional treatment group were 0.95 (90% CI, 0.70 to 1.29; P = .006 for noninferiority) in the intention-to-treat analysis and 0.93 (90% CI, 0.68 to 1.26; P = .005 for noninferiority) in the per-protocol analysis, meeting our noninferiority criterion. In the short-term group, 56 patients (35.9%) reached the primary end point; 57 (36.8%) in the conventional group. Estimates of reexacerbation rates within 180 days were 37.2% (95% CI, 29.5% to 44.9%) in the short-term; 38.4% (95% CI, 30.6% to 46.3%) in the conventional, with a difference of -1.2% (95% CI, -12.2% to 9.8%) between the short-term and the conventional. Among patients with a reexacerbation, the median time to event was 43.5 days (interquartile range [IQR], 13 to 118) in the short-term and 29 days (IQR, 16 to 85) in the conventional. There was no difference between groups in time to death, the combined end point of exacerbation, death, or both and recovery of lung function. In the conventional group, mean cumulative prednisone dose was significantly higher (793 mg [95% CI, 710 to 876 mg] vs 379 mg [95% CI, 311 to 446 mg], P < .001), but treatment-associated adverse reactions, including hyperglycemia and hypertension, did not occur more frequently. CONCLUSIONS AND RELEVANCE In patients presenting to the emergency department with acute exacerbations of COPD, 5-day treatment with systemic glucocorticoids was noninferior to 14-day treatment with regard to reexacerbation within 6 months of follow-up but significantly reduced glucocorticoid exposure. These findings support the use of a 5-day glucocorticoid treatment in acute exacerbations of COPD. TRIAL REGISTRATION isrctn.org Identifier: ISRCTN19646069.
An Early-Warning System for Hypo-/Hyperglycemic Events Based on Fusion of Adaptive Prediction Models
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Introduction: Early warning of future hypoglycemic and hyperglycemic events can improve the safety of type 1 diabetes mellitus (T1DM) patients. The aim of this study is to design and evaluate a hypoglycemia / hyperglycemia early warning system (EWS) for T1DM patients under sensor-augmented pump (SAP) therapy. Methods: The EWS is based on the combination of data-driven online adaptive prediction models and a warning algorithm. Three modeling approaches have been investigated: (i) autoregressive (ARX) models, (ii) auto-regressive with an output correction module (cARX) models, and (iii) recurrent neural network (RNN) models. The warning algorithm performs postprocessing of the models′ outputs and issues alerts if upcoming hypoglycemic/hyperglycemic events are detected. Fusion of the cARX and RNN models, due to their complementary prediction performances, resulted in the hybrid autoregressive with an output correction module/recurrent neural network (cARN)-based EWS. Results: The EWS was evaluated on 23 T1DM patients under SAP therapy. The ARX-based system achieved hypoglycemic (hyperglycemic) event prediction with median values of accuracy of 100.0% (100.0%), detection time of 10.0 (8.0) min, and daily false alarms of 0.7 (0.5). The respective values for the cARX-based system were 100.0% (100.0%), 17.5 (14.8) min, and 1.5 (1.3) and, for the RNN-based system, were 100.0% (92.0%), 8.4 (7.0) min, and 0.1 (0.2). The hybrid cARN-based EWS presented outperforming results with 100.0% (100.0%) prediction accuracy, detection 16.7 (14.7) min in advance, and 0.8 (0.8) daily false alarms. Conclusion: Combined use of cARX and RNN models for the development of an EWS outperformed the single use of each model, achieving accurate and prompt event prediction with few false alarms, thus providing increased safety and comfort.
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Dynamic systems, especially in real-life applications, are often determined by inter-/intra-variability, uncertainties and time-varying components. Physiological systems are probably the most representative example in which population variability, vital signal measurement noise and uncertain dynamics render their explicit representation and optimization a rather difficult task. Systems characterized by such challenges often require the use of adaptive algorithmic solutions able to perform an iterative structural and/or parametrical update process towards optimized behavior. Adaptive optimization presents the advantages of (i) individualization through learning of basic system characteristics, (ii) ability to follow time-varying dynamics and (iii) low computational cost. In this chapter, the use of online adaptive algorithms is investigated in two basic research areas related to diabetes management: (i) real-time glucose regulation and (ii) real-time prediction of hypo-/hyperglycemia. The applicability of these methods is illustrated through the design and development of an adaptive glucose control algorithm based on reinforcement learning and optimal control and an adaptive, personalized early-warning system for the recognition and alarm generation against hypo- and hyperglycemic events.
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Insulin and glucagon are glucoregulatory hormones that contribute to glucose homeostasis. Plasma insulin is elevated during normoglycemia or hyperglycemia and acts as a suppressor of glucagon secretion. We have investigated if and how insulin and glucose contribute to the regulation of glucagon secretion through long term (48 h) elevated insulin concentrations during simultaneous hypoglycemia or euglycemia in mid-lactating dairy cows. Nineteen Holstein dairy cows were randomly assigned to 3 treatment groups: an intravenous insulin infusion (HypoG, n = 5) to decrease plasma glucose concentrations (2.5 mmol/L), a hyperinsulinemic-euglycemic clamp to study effects of insulin at simultaneously normal glucose concentrations (EuG, n = 6) and a 0.9% saline infusion (NaCl, n = 8). Plasma glucose was measured at 5-min intervals, and insulin and glucose infusion rates were adjusted accordingly. Area under the curve of hourly glucose, insulin, and glucagon concentrations on day 2 of infusion was evaluated by analysis of variance with treatments as fixed effect. Insulin infusion caused an increase of plasma insulin area under the curve (AUC)/h in HypoG (41.9 ± 8.1 mU/L) and EuG (57.8 ± 7.8 mU/L) compared with NaCl (13.9 ± 1.1 mU/L; P < 0.01). Induced hyperinsulinemia caused a decline of plasma glucose AUC/h to 2.3 ± 0.1 mmol/L in HypoG (P < 0.01), whereas plasma glucose AUC/h remained unchanged in EuG (3.8 ± 0.2 mmol/L) and NaCl (4.1 ± 0.1 mmol/L). Plasma glucagon AUC/h was lower in EuG (84.0 ± 6.3 pg/mL; P < 0.05) and elevated in HypoG (129.0 ± 7.0 pg/mL; P < 0.01) as compared with NaCl (106.1 ± 5.4 pg/mL). The results show that intravenous insulin infusion induces elevated glucagon concentrations during hypoglycemia, although the same insulin infusion reduces glucagon concentrations at simultaneously normal glucose concentrations. Thus, insulin does not generally have an inhibitory effect on glucagon concentrations. If simultaneously glucose is low and insulin is high, glucagon is upregulated to increase glucose availability. Therefore, insulin and glucose are conjoint regulatory factors of glucagon concentrations in dairy cows, and the plasma glucose status is the key factor to decide if its concentrations are increased or decreased. This regulatory effect can be important for the maintenance of glucose homeostasis if insulin secretion is upregulated by other factors than high glucose such as high plasma lipid and protein concentrations at simultaneously low glucose.
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ntroduction: The ProAct study has shown that a pump switch to the Accu-Chek® Combo system (Roche Diagnostics Deutschland GmbH, Mannheim, Germany) in type 1 diabetes patients results in stable glycemic control with significant improvements in glycated hemoglobin (HbA1c) in patients with unsatisfactory baseline HbA1c and shorter pump usage time. Patients and Methods: In this post hoc analysis of the ProAct database, we investigated the glycemic control and glycemic variability at baseline by determination of several established parameters and scores (HbA1c, hypoglycemia frequency, J-score, Hypoglycemia and Hyperglycemia Indexes, and Index of Glycemic Control) in participants with different daily bolus and blood glucose measurement frequencies (less than four day, four or five per day, and more than five per day, in both cases). The data were derived from up to 299 patients (172 females, 127 males; age [mean±SD], 39.4±15.2 years; pump treatment duration, 7.0±5.2 years). Results: Participants with frequent glucose readings had better glycemic control than those with few readings (more than five readings per day vs. less than four readings per day: HbA1c, 7.2±1.1% vs. 8.0±0.9%; mean daily blood glucose, 151±22 mg/dL vs. 176±30 mg/dL; percentage of readings per month >300 mg/dL, 10±4% vs. 14±5%; percentage of readings in target range [80-180 mg/dL], 59% vs. 48% [P<0.05 in all cases]) and had a lower glycemic variability (J-score, 49±13 vs. 71±25 [P<0.05]; Hyperglycemia Index, 0.9±0.5 vs. 1.9±1.2 [P<0.05]; Index of Glycemic Control, 1.9±0.8 vs. 3.1±1.6 [P<0.05]; Hypoglycemia Index, 0.9±0.8 vs. 1.2±1.3 [not significant]). Frequent self-monitoring of blood glucose was associated with a higher number of bolus applications (6.1±2.2 boluses/day vs. 4.5±2.0 boluses/day [P<0.05]). Therefore, a similar but less pronounced effect on glycemic variability in favor of more daily bolus applications was observed (more than five vs. less than four bolues per day: J-score, 57±17 vs. 63±25 [not significant]; Hypoglycemia Index, 1.0±1.0 vs. 1.5±1.4 [P<0.05]; Hyperglycemia Index, 1.3±0.6 vs. 1.6±1.1 [not significant]; Index of Glycemic Control, 2.3±1.1 vs. 3.1±1.7 [P<0.05]). Conclusions: Pump users who perform frequent daily glucose readings have a better glycemic control with lower glycemic variability.
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PURPOSE OF REVIEW The primary focus of this review is threefold: first, to summarize available knowledge on exercise-associated glucose metabolism in individuals with type 1 diabetes mellitus (T1DM); second, to elucidate physiological mechanisms predisposing to glycemic variations in patients in T1DM; and third, to describe novel approaches derived from physiological perceptions applicable to stabilize exercise-related glycemia in individuals with T1DM. RECENT FINDINGS Recent studies corroborate the concept that despite partial differences in counter-regulatory mechanisms individuals with T1DM do not fundamentally differ in their glucose response to exercise when compared with healthy individuals if studies are performed under standardized conditions with insulin and glucose levels held close to physiological ranges. Novel approaches derived from a better understanding of exercise-associated glucose metabolism (e.g., the concept of intermittent high-intensity exercise) may provide alternative ways to master the challenges imposed by exercise to individuals with T1DM. SUMMARY Exercise still imposes high demands on patients with T1DM and increases risks for hypoglycemia and hyperglycemia. Deeper insight into the associated metabolic pathways has revealed novel options to stabilize exercise-associated glucose levels in these patients.
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OBJECTIVES Uncontrolled diabetes mellitus is associated with impaired osseointegration. Diabetic individuals might benefit from bone anabolic therapies. Intermittent administration of 1-34 parathyroid hormone (PTH) stimulates bone formation in rodent models. However, this anabolic effect fails in diabetic rats. Whether the anabolic effect of PTH can be achieved in insulin-controlled diabetic rats has not been investigated yet. MATERIALS AND METHODS After diabetes induction with streptozotocin in 40 female Wistar rats, the animals were randomly divided into 4 groups: diabetes, diabetes plus PTH, insulin-treated diabetes, and insulin-treated diabetes plus PTH. After 1 week, miniscrews were inserted in the tibiae. Osmotic pumps with insulin or saline solution were implanted. Animals received 60 mg/kg PTH or saline solution. Histomorphometric analysis was performed. RESULTS In diabetic rats, no changes of medullary periimplant bone area or bone-to-implant contacts (BICs) were achieved with or without treatment with PTH. However, also animals treated with insulin failed to response significantly to PTH regarding bone area (7.4 ± 4.1% and 8.1 ± 4.1%) and BICs (33.7 ± 16.9% and 49.9 ± 11.9%). CONCLUSION These results demonstrate that the metabolic characteristics of the diabetic rats produced a condition unable to respond to PTH treatment, even when hyperglycemia was controlled with insulin.
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Background. Diabetes places a significant burden on the health care system. Reduction in blood glucose levels (HbA1c) reduces the risk of complications; however, little is known about the impact of disease management programs on medical costs for patients with diabetes. In 2001, economic costs associated with diabetes totaled $100 billion, and indirect costs totaled $54 billion. ^ Objective. To compare outcomes of nurse case management by treatment algorithms with conventional primary care for glycemic control and cardiovascular risk factors in type 2 diabetic patients in a low-income Mexican American community-based setting, and to compare the cost effectiveness of the two programs. Patient compliance was also assessed. ^ Research design and methods. An observational group-comparison to evaluate a treatment intervention for type 2 diabetes management was implemented at three out-patient health facilities in San Antonio, Texas. All eligible type 2 diabetic patients attending the clinics during 1994–1996 became part of the study. Data were obtained from the study database, medical records, hospital accounting, and pharmacy cost lists, and entered into a computerized database. Three groups were compared: a Community Clinic Nurse Case Manager (CC-TA) following treatment algorithms, a University Clinic Nurse Case Manager (UC-TA) following treatment algorithms, and Primary Care Physicians (PCP) following conventional care practices at a Family Practice Clinic. The algorithms provided a disease management model specifically for hyperglycemia, dyslipidemia, hypertension, and microalbuminuria that progressively moved the patient toward ideal goals through adjustments in medication, self-monitoring of blood glucose, meal planning, and reinforcement of diet and exercise. Cost effectiveness of hemoglobin AI, final endpoints was compared. ^ Results. There were 358 patients analyzed: 106 patients in CC-TA, 170 patients in UC-TA, and 82 patients in PCP groups. Change in hemoglobin A1c (HbA1c) was the primary outcome measured. HbA1c results were presented at baseline, 6 and 12 months for CC-TA (10.4%, 7.1%, 7.3%), UC-TA (10.5%, 7.1%, 7.2%), and PCP (10.0%, 8.5%, 8.7%). Mean patient compliance was 81%. Levels of cost effectiveness were significantly different between clinics. ^ Conclusion. Nurse case management with treatment algorithms significantly improved glycemic control in patients with type 2 diabetes, and was more cost effective. ^
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The proportion of children and adolescents living with type 2 diabetes mellitus (DM) is rising at an alarming rate. Studies have shown that poor dietary choices and sedentary behaviors account for progression of some of the most prevalent diseases in America, including obesity, heart disease and diabetes. Other studies have shown that genetics plays a role in the diabetic determination of an individual, although not very common. What are some of the differentiating factors between elevated and non-elevated fasting capillary glucose (FCG) levels in children of similar ages, knowing they spend a majority of their lives at home or at school? Why are some children acquiring diabetes while others are not? This study utilized an IRB-approved Family Demographic Survey to determine gender, family income, parent education levels, sedentary practices, and household size. Only those families who gave consent to take part in the study received a questionnaire. The statistical results were used to test the hypothesis that children living with elevated FCG levels are more likely to descend from families with lower incomes, and lower levels of education.^ With regard to household income and FCG status of non-hyperglycemic and hyperglycemic children (Table 4b), there are 10.4% more hyperglycemic children in the lower income bracket than non-hyperglycemic children in the same income bracket.^ With regard to maternal education and FCG status (Table 5b), there are 7.0% more hyperglycemic children in the high school or less maternal educational attainment level than non-hyperglycemic children in the same maternal educational level. The Pearson correlation of maternal education and FCG status showed a negative correlation value of -.035 (Table 5d). The higher the occurrence of hyperglycemia in a child, the lower the maternal educational status is. Household size ranges and averages are nearly identical in families of both hyperglycemic and non-hyperglycemic children. ^
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The number of children developing type-2 diabetes mellitus (T2DM) is increasing globally, especially in Western countries. Previous studies have indicated that low socioeconomic status (SES) is a contributing factor to diabetes. This study of children examined the relationship of socioeconomic status and two physiological measures that are risk factors for diabetes: the level of fasting capillary glucose (FCG) and hyperglycemia, in which there is an elevated amount of glucose in the blood. This study utilized data from the study entitled Bienester: A School-Based Diabetes Mellitus Prevention Program. The sample was 1,426 fourth grade students from 27 San Antonio Independent School District elementary schools. The dependent variable was FCG and the independent variable was the median family income associated with the student's zip code based on Census information. Other variables included body mass index, gender, and ethnicity. The statistical results showed no relationship between FCG, continuously defined, and income. In addition, there was no relationship between hyperglycemia and income. Furthermore, there was no relationship of FCG with BMI, gender, or ethnicity. Income measured at the zip code level is likely too aggregate and distal an influence to demonstrate an impact on FCG. Research should continue to examine risk factors associated with the onset of T2DM.^
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Inpatient hyperglycemia has been shown to be associated with higher morbidity and mortality. Treatment of inpatient hyperglycemia reduces morbidity and mortality at least in the intensive care unit. Burden and severity of hyperglycemia in an inpatient population of a cancer center is not known. The study is a secondary analysis of the primary study 'Prevalence of Diabetes in cancer inpatient'. Finger-stick glucose concentration and pharmacy data were collected prospectively for all hospitalizations to a large cancer center. Demographic, clinical and laboratory data were collected in a retrospective fashion. Between May 1 and July 31, 2006; 3,940 patients were admitted 5,489 times. Prior to their first admissions, 920(23.4%) of the 3940 patients had unrecognized or recognized hyperglycemia. Glucose was never tested during 1714 (31.8%) hospitalizations, including 170 (12%) of the 1414 admissions of the 920 patients with previous hyperglycemia, and, 109 (58%) of 188 patients who were not tested for glucose prior to their index admissions. Overall, sustained significant hyperglycemia (>= 200 mg/dL on two separate days) was present in 765 (13.9%). Antidiabetic treatment was dispensed in 1168 (21.3%), though 627 (53.7%) of these received only short/rapid acting insulin, and, 951 (17.3%)diabetes code before and in another 80 (1.5%) during stay in hospital, out of total 5489 admissions. Therefore diabetes mellitus or hyperglycemia affected 1525 (27.8%) out of all admissions and coding alone as a criterion for diagnosis of hyperglycemia would have underreported it by 32%. Hyperglycemia occurred more commonly during hospitalization of patients with older age, males, ethnic minorities, advanced malignancies, and those receiving glucocorticoids, parenteral nutrition, and those who had a past history of coding for diabetes or past hyperglycemia, but not in those with the cancers reported to be associated with diabetes mellitus. Of the recognized diabetics half had sustained significant hyperglycemia and 10% had three quarters glucoses tested above 180 mg/dL. To conclude, diabetes affects at least 27.8% of inpatients at our cancer center. Coding for diabetes significantly underreports the burden of the disease. Significant sustained hyperglycemia of >=200 mg/dL among inpatients at a cancer center is common, under-recognized, and either untreated or inadequately treated with suboptimal glycemic control. The implications of hyperglycemia in cancer inpatient populations need further investigations. Fasting serum or plasma glucose should be checked routinely for every patient admitted to a cancer hospital, to recognize and treat hyperglycemia as clinically appropriate.^
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The mechanism for higher susceptibility of diabetes patients to TB is unknown. Chronic hyperglycemia has been shown to be associated with altered immunity to Mycobacterium tuberculosis, and may explain the higher risk of TB among diabetes patients. However, it is possible that other conditions that frequently occur in these patients are also contributing to TB susceptibility. Our goal was to determine whether lipid metabolism, liver function and/or chronic inflammation are altered in tuberculosis (TB) patients with diabetes (DM), compared to non-DM.^ Confirmed TB patients who were 20 years or older (n=159) were selected from a database in the south Texas and northeast Mexico area. Differences between serum values for liver function, lipid metabolism and/or chronic inflammation were compared between TB patients with DM to non-DM.^ We found that CRP was the most frequent alteration, with about 80% having high values suggestive of chronic inflammation. The other frequent abnormalities were high triglycerides in about 40% of the patients and low HDL cholesterol in about 60% of the patients. Otherwise, less than 10% of the TB patients had an abnormal finding for any of the other laboratory tests. The abnormalities were not more frequent among the patients with either DM (versus non-DM) or high HbA1c (versus normal).^ A possible explanation for the high levels or CRP may be that everyone in the study had TB, which in itself causes inflammation and may have masked the increased CRP levels that characterize diabetes patients. There was a mild alteration in lipid metabolism in patients with DM, which is unlikely to explain altered immunity to TB. Otherwise, liver function tests were normal in patients with DM. Therefore the processing of anti-TB medications should be no different between the TB patients with and without diabetes. Our findings, however, do not rule out that other study populations have more remarkable metabolic alterations associated with diabetes. Therefore, it would be interesting to conduct a similar study in patients from different ethnic groups (White, African American, or Native American) in order to see if the same pattern is observed.^
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The sensitivity of Interferon-γ release assays for detection of Mycobacterium tuberculosis (MTB) infection or disease is affected by conditions that depress host immunity (such as HIV). It is critical to determine whether these assays are affected by diabetes and related conditions (i.e. hyperglycemia, chronic hyperglycemia, or being overweight/obese) given that immune impairment is thought to underline susceptibility to tuberculosis (TB) in people with diabetes. This is important for tuberculosis control due to the millions of type 2 diabetes patients at risk for tuberculosis worldwide.^ The objective of this study was to identify host characteristics, including diabetes, that may affect the sensitivity of two commercially available Interferon-γ (IFN-γ) release assays (IGRA), the QuantiFERON®-TB Gold (QFT-G) and the T-SPOT®.TB in active TB patients. We further explored whether IFN-γ secretion in response to MTB antigens (ESAT-6 and CFP-10) is associated with diabetes and its defining characteristics (high blood glucose, high HbA1c, high BMI). To achieve these objectives, the sensitivity of QFT-G and T-SPOT. TB assays were evaluated in newly diagnosed, tuberculosis confirmed (by positive smear for acid fast bacilli and/or positive culture for MTB) adults enrolled at Texas and Mexico study sites between March 2006 and April 2009. Univariate and multivariate models were constructed to identify host characteristics associated with IGRA result and level of IFN-γ secretion.^ QFT-G was positive in 68% of tuberculosis patients. Those with diabetes, chronic hyperglycemia or obesity were more likely to have a positive QFT-G result, and to secrete higher levels of IFN-γ in response to the mycobacterial antigens (p<0.05). Previous history of BCG vaccination was the only other host characteristic associated with QFT-G result, whereby a higher proportion of non-BCG vaccinated persons were QFT-G positive, in comparison to vaccinated persons. In a separate group of patients, the T-SPOT.TB was 94% sensitive, with similar performance in all tuberculosis patients, regardless of host characteristics.^ In summary, we have demonstrated the validity of QFT-G and T-SPOT. TB to support the diagnosis of TB in patients with a range of host characteristics, but most notably in patients with diabetes. We also confirmed that TB patients with diabetes and associated characteristics (chronic hyperglycemia or BMI) secreted higher titers of IFN-γ when stimulated with MTB specific antigens, in comparison to patients without these characteristics. Together, these findings suggest that the mechanism by which diabetes increases risk to TB may not be explained by the inability to secrete IFN-γ, a key cytokine for TB control.^