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1.
Endocr Pract ; 22(4): 476-501, 2016 Apr.
Article in English | MEDLINE | ID: mdl-27031655

ABSTRACT

The American Association of Clinical Endocrinologists (AACE) and American College of Endocrinology (ACE) convened their first Workshop for recommendations to optimize Clinical Practice Algorithm (CPA) development for Latin America (LA) in diabetes (focusing on glycemic control), obesity (focusing on weight loss), thyroid (focusing on thyroid nodule diagnostics), and bone (focusing on postmenopausal osteoporosis) on February 28, 2015, in San Jose, Costa Rica. A standardized methodology is presented incorporating various transculturalization factors: resource availability (including imaging equipment and approved pharmaceuticals), health care professional and patient preferences, lifestyle variables, socio-economic parameters, web-based global accessibility, electronic implementation, and need for validation protocols. A standardized CPA template with node-specific recommendations to assist the local transculturalization process is provided. Participants unanimously agreed on the following five overarching principles for LA: (1) there is only one level of optimal endocrine care, (2) hemoglobin A1C should be utilized at every level of diabetes care, (3) nutrition education and increased pharmaceutical options are necessary to optimize the obesity care model, (4) quality neck ultrasound must be part of an optimal thyroid nodule care model, and (5) more scientific evidence is needed on osteoporosis prevalence and cost to justify intervention by governmental health care authorities. This 2015 AACE/ACE Workshop marks the beginning of a structured activity that assists local experts in creating culturally sensitive, evidence-based, and easy-to-implement tools for optimizing endocrine care on a global scale.


Subject(s)
Algorithms , Culture , Endocrinology/standards , Practice Guidelines as Topic , Consensus , Costa Rica , Cross-Cultural Comparison , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/therapy , Endocrinology/education , Endocrinology/organization & administration , Humans , Latin America , Obesity/diagnosis , Obesity/therapy , Thyroid Nodule/diagnosis , Thyroid Nodule/therapy , United States
2.
Ann Hepatol ; 10(1): 56-62, 2011.
Article in English | MEDLINE | ID: mdl-21301011

ABSTRACT

BACKGROUND: It has been suggested that DM may reduce survival of patients with liver cirrhosis (LC). Nevertheless only few prospective studies assessing the impact of DM on mortality of cirrhotic patients have been published, none in compensated LC. AIMS: (i) to study the impact of DM on mortality and (ii) to identify predictors of death. METHODS: Patients with compensated LC with and without DM were studied. Survival was analyzed by the Kaplan-Meier Method. Univariate and multivariate analysis was performed to determine independent predictors of mortality. RESULTS: 110 patients were included: 60 without DM and 50 with DM. Diabetic patients had significantly higher frequency of cryptogenic cirrhosis, anemia, hypoalbuminemia, and hypercreatininemia. They also had significantly higher BMI and Child-Pugh score. The 2.5-years cumulative survival was significantly lower in patients with DM (48 vs. 69%, p < 0.05). By univariate analysis: DM, female gender, serum creatinine > 1.5 mg/dL, Child-Pugh score class C and cryptogenic cirrhosis were significant. However, only serum creatinine > 1.5 mg/dL and Child-Pugh score class C were independent predictors of death. CONCLUSION: DM was associated with a significant increase in mortality in patients with compensated liver cirrhosis. Serum creatinine > 1.5 mg/dL and Child-Pugh score class C were independent predictors of death.


Subject(s)
Diabetes Mellitus/mortality , Liver Diseases/mortality , Adult , Aged , Biomarkers/blood , Biopsy , Chi-Square Distribution , Creatinine/blood , Diabetes Mellitus/blood , Diabetes Mellitus/pathology , Female , Humans , Kaplan-Meier Estimate , Liver Diseases/blood , Liver Diseases/pathology , Male , Mexico/epidemiology , Middle Aged , Odds Ratio , Proportional Hazards Models , Prospective Studies , Risk Assessment , Risk Factors , Severity of Illness Index , Survival Rate , Time Factors , Up-Regulation
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