Diabetes mellitus (DM) and tuberculosis (TB) are two common diseases with increasing geographic overlap and clinical interactions. The effect of DM and hemoglobin A1c (HbA1c) values on the pharmacokinetics (PK) and pharmacodynamics (PD) of anti-TB drugs remains poorly characterized. Newly diagnosed TB patients with and without DM starting fixed-dose, thrice-weekly treatment underwent sampling for PK assessments (predose and 0.5, 2, and 6 h postdose) during the intensive and continuation phases of treatment. The effect of DM and HbA1c values on the maximum concentration () of rifampin, isoniazid, and pyrazinamide and the association between drug concentrations and microbiologic and clinical outcomes were assessed. Of 243 patients, 101 had DM. Univariate analysis showed significant reductions in the of pyrazinamide and isoniazid (but not rifampin) with DM or increasing HbA1c values. After adjusting for age, sex, and weight, DM was associated only with reduced pyrazinamide concentrations (adjusted geometric mean ratio = 0.74, = 0.03). In adjusted Cox models, female gender (adjusted hazards ratio [aHR] = 1.75, = 0.001), a lower smear grade with the Xpert assay (aHR = 1.40, < 0.001), and the pyrazinamide (aHR = 0.99, = 0.006) were independent predictors of sputum culture conversion to negative. Higher isoniazid or rifampin concentrations were associated with a faster time to culture conversion in patients with DM only. A pyrazinamide above the therapeutic target was associated with higher unfavorable outcomes (treatment failure, relapse, death) (odds ratio = 1.92, = 0.04). DM and higher HbA1c values increased the risk of not achieving therapeutic targets for pyrazinamide (but not rifampin or isoniazid). Higher pyrazinamide concentrations, though, were associated with worse microbiologic and clinical outcomes. DM status also appeared to influence PK-PD relationships for isoniazid and rifampin.
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http://dx.doi.org/10.1128/AAC.01383-18 | DOI Listing |
Diabetes Care
January 2025
Clinical Population and Sciences Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, U.K.
Objective: Diabetes is a potential late consequence of childhood and young adult cancer (CYAC) treatment. Causative treatments associated with diabetes have been identified in retrospective cohort studies but have not been validated in population-based cohorts. Our aim was to define the extent of diabetes risk and explore contributory factors for its development in survivors of CYAC in the United Kingdom.
View Article and Find Full Text PDFRev Med Chil
September 2024
University of Massachusetts Chan Medical School, Worcester, MA, Estados Unidos.
Unlabelled: People with type 2 diabetes mellitus (DM2) experience difficulties in self-management. One of the variables involved is the low level of health literacy (HL) which corresponds to the degree to which people access, understand, evaluate and use information to engage with health demands in different contexts, in order to promote and maintain good health.
Hypothesis: People diagnosed with diabetes mellitus who participate in an intervention to increase their level of health literacy improve their metabolic compensation measured in HBA1c.
Metabolites
January 2025
Obesity Unit, Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
: Managing type 2 diabetes mellitus (T2DM) and obesity requires a multidimensional, patient-centered approach including nutritional interventions (NIs) and physical activity. Changes in the gut microbiota (GM) have been linked to obesity and the metabolic alterations typical of T2DM and obesity, and they are strongly influenced by diet. However, few studies have evaluated the effects on the GM of a very-low-calorie ketogenic diet (VLCKD) in patients with T2DM, especially in the mid-term and long-term.
View Article and Find Full Text PDFJ Pers Med
December 2024
Department of General Surgery, Cannizzaro Hospital, 95126 Catania, Italy.
Background/objectives: In metabolic bariatric surgery, structured follow-up protocols may play an essential role in achieving optimal patient outcomes. This study aims to report postoperative biochemical outcomes in a cohort of post-bariatric patients who underwent a structured follow-up protocol.
Methods: This retrospective study included patients who underwent metabolic bariatric surgery and completed a one-year follow-up at Cannizaro Hospital from October 2022 to May 2024.
J Clin Res Pediatr Endocrinol
January 2025
Narasaraopeta Engineering College, Computer Science and Engineering, India.
Objective: The honeymoon phase in Type 1 Diabetes (T1D) presents a temporary improvement in glycemic control, complicating insulin management. This study aims to develop and validate a machine learning-driven method for accurately detecting this phase to optimize insulin therapy and prevent adverse outcomes.
Methods: Data from pediatric T1D patients aged 6-17 years, including continuous glucose monitoring (CGM) data, Glucose Management Indicator (GMI) reports, HbA1c values, and patient medical history, were used to train machine learning models.
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