Background. The national prevalence of goiters in the Philippines was 3.7% in 1987 and 6.7% in 1993. Since then, there has been no follow-up survey on goiter prevalence, nor has there been any national survey on the prevalence of abnormal thyroid dysfunction. The PhilTiDeS is a survey on the prevalence of both goiters and thyroid disorders in the Philippines Objectives. To determine the prevalence of various categories of abnormal thyroid dysfunction among the Filipino nonpregnant adult population and to describe the prevalence of thyroid enlargement in the Philippines in relation to thyroid dysfunction status.Materials and Methods. The PhilTiDes was a substudy of the 2008 National Nutrition and Health Survey (NNHeS), which covered all 17 regions and 80 provinces of the Philippines. It included all Filipino adults 20 years and older, who are non-pregnant and non-lactating. A standard questionnaire was used to collect data on previous diagnosis and current treatment for thyroid disorders, and neck examination by trained field personnel was done to assess the presence of goiter. Blood was extracted, processed and sent to an accredited laboratory for free T4 and TSH testing using micro-particle enzyme immunoassay.Results. A total of 4897 persons had thyroid function tests. Of these, 417 (8.53%) had thyroid function abnormalities with the most common abnormality being subclinical hyperthyroidism occurring in 5.33%. The other categories had the following prevalence: true hyperthyroidism 0.61% ; true hypothyroidism 0.41%; and subclinical hypothyroidism 2.18% . Majority of the population 4480 (91.47%) had normal thyroid function tests.Of those with subclinical hyperthyroidism, 55% are females with mean age of 48 years (95% CI 45.9-50.1 years) compared with the volunteers with normal thyroid function who were younger (mean age of 43.1, 95% CI 42.5-43.6 years).Out of the 7,227 volunteers who responded to the survey and clinical examination, a total of 674 (8.9%) had goiters. Out of the 674 subjects with goiters, 379 had diffuse enlargement (56%) while the rest had nodular goiter (44%). Among the sub-population (n= 4897) who underwent thyroid function testing, 9% of those with normal thyroid function tests have goiters. Conclusion.The prevalence of thyroid function abnormalities in the Philippines is 8.53% with the greatest proportion of volunteers having subclinical thyroid disease. There is a low prevalence of both true or overt hyperthyroidism and hypothyroidism. In the larger survey, it was found that 8.9% of volunteers who were examined had goiters. The etiology of these goiters will need to be ascertained in future studies.

Hypertension is the most common cause of death and disability worldwide with its prevalence rising in low to middle income countries. It remains to be an important cause of morbidity and mortality in the Philippines with poor BP control as one of the main causes. Different societies and groups worked and collaborated together to develop the 2020 Philippine Clinical Practice Guidelines of hypertension arising for the need to come up with a comprehensive local practice guideline for the diagnosis, treatment, and follow up of persons with hypertension. A technical working group was organized into six clusters that analyzed the 30 clinical questions commonly asked in practice, looking into the definition of hypertension, treatment thresholds, blood pressure targets, and appropriate medications to reach targets. This guideline also includes recommendations for the specific management of hypertension among individuals with uncomplicated hypertension, hypertension among those with diabetes, stroke, chronic kidney disease, as well as hypertension among pregnant women and pediatric populations. It also looked into the appropriate screening and monitoring of patients when managing hypertension, and identification of groups who are at high risk for cardiovascular (CV) events. The ADAPTE process was used in developing the statements and recommendations which were then presented to a panel of experts for discussion and approval to come up with the final statements. This guideline aims to aid Filipino healthcare professionals to provide evidence‐based care for persons with hypertension and help those with hypertension adequately control their blood pressure and reduce their CV risk

Objective. This study aims to determine the prevalence of metabolic syndrome and its individual components across different BMI categories among patients seen at Wellness Center and Obesity and Weight Management Center, St. Luke's Medical Center Quezon City.Methodology. This was a 3-year retrospective study of patients seen at the institution from 2013 to 2016. The patients were divided according to Asia-Pacific BMI categories and presence of metabolic syndrome was determined as defined by NCEP/ATP III-AHA/NHLBI (2005).Results. This study included a total of 1367 adult patients with the mean age of 53 (SD=12.4). The overall prevalence of metabolic syndrome is 51.0%. Its prevalence across the different BMI categories are as follows: 29.6 % with Normal BMI (BMI 18.5-22.9 kg/m 2 ), 38.9% in overweight (BMI 23-24.9 kg/m 2 ), 56.9% in Pre-Obese (BMI 25-29.9 kg/m 2 ) and 62.4% in Obese (BMI ≥30 kg/m 2 ) subgroup. Presence of central obesity using the Asian cut-off has the highest prevalence among patients with metabolic syndrome across all categories. In the group with normal BMI, hypertension and elevated blood glucose were highest with central obesity being the least common but still with 7.3% of individuals meeting the criteria for central obesity.Conclusion. There is high prevalence of metabolic syndrome even in patients with normal BMI. Diagnosis and screening for its individual components should not only be confined to individuals with higher BMI.

Objectives The COVID-19 pandemic has made a major impact on hospital services globally, including the care of persons with diabetes and endocrine disorders. The aim of this study is to describe the epidemiology of COVID-19 in the ASEAN Federation of Endocrine Societies (AFES) member countries; to describe challenges, changes and opportunities in caring for patients with endocrine diseases, as well as in fellowship training programs, and endocrinerelated research in the AFES countries. Methodology The AFES A SEAN S urvey O f N eeds in E ndocrinology (AFES A.S.-O.N.E.) was an open-ended questionnaire that was sent to the presidents and representatives of the AFES member countries by email. Responses from Societies were collated and synthesized to obtain perspectives on the emergent issues in endocrinology in the Southeast Asian region during this pandemic. Results The burden of COVID-19 cases varied widely across the AFES member countries, with the least number of cases in Vietnam and Myanmar, and the greatest number of cases in either the most populous countries (Indonesia and the Philippines), or a country with the highest capability for testing (Singapore). The case fatality rate was also the highest for Indonesia and the Philippines at around 6%, and lowest for Vietnam at no fatalities. The percentage with diabetes among patients with COVID-19 ranged from 5% in Indonesia to 20% in Singapore, approximating the reported percentages in China and the United States. The major challenges in managing patients with endocrine diseases involved inaccessibility of health care providers, clinics and hospitals due to the implementation of lockdowns, community quarantines or movement control among the member countries. This led to disruptions in the continuity of care, testing and monitoring, and for some, provision of both preventive care and active management including surgery for thyroid cancer or pituitary and adrenal tumors, and radioactive iodine therapy. Major disruptions in the endocrine fellowship training programs were also noted across the region, so that some countries have had to freeze hiring of new trainees or to revise both program requirements and approaches to training due to the closure of outpatient endocrine clinics. The same observations are seen for endocrine-related researches, as most research papers have focused on the pandemic. Finally, the report ends by describing innovative approaches to fill in the gap in training and in improving patient access to endocrine services by Telemedicine. Conclusion The burden of COVID-19 cases and its case fatality rate varies across the AFES member countries but its impact is almost uniform: it has disrupted the provision of care for patients with endocrine diseases, and has also disrupted endocrine fe...

Objectives. To compare the level of insulin resistance and β-cell function between lean and overweight/obese Filipino patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methodology. This was a cross-sectional analytical study including newly diagnosed T2DM Filipino patients from St. Luke's Medical Center -Quezon City. The patients were classified as either lean or overweight/obese. Age, sex, smoking history, anthropometric measures and blood pressure were obtained. Insulin resistance and β-cell function were determined using the homeostasis model assessment (HOMA). The original model ( HOMA1) and the updated model (HOMA2) were used.Results. A total of 80 subjects were included. There were 40 subjects in each group. The overweight/obese subjects had significantly higher mean insulin resistance (HOMA1-IR 9.8±11.7, HOMA2-IR 3.0±2.0) compared to the lean group (HOMA1-IR 2.9±1.5, HOMA2-IR 1.3±0.5). This was consistent in both HOMA1 and HOMA2 (p-values=0.001 and <0.001, respectively). The mean β-cell function of the overweight/obese patients was significantly higher than the lean subjects when using HOMA1 (lean=57.8±35.5, overweight/obese=93.6±66.4, p-value=0.003), but not in HOMA2 (lean=57.6±30.5, overweight/obese=74.8±45.7, p-value=0.051). Overweight/obesity increased HOMA1-IR by 4.0 and HOMA1-B by 46.1 (p-values= 0.002 and <0.001, respectively). Through the use of HOMA2, overweight/ obesity increased HOMA2-IR by 1.4 and HOMA2-B by 29.1 (p-values<0.001). Being overweight/obese was also associated with significantly higher odds for developing greater insulin resistance (HOMA1-IR adjOR = 5.