BACKGROUND: Aerococcus urinae is a rare pathogen of endocarditis with high rates of embolic events, valvular damage and mortality.
CASE 1:A 24 y/o male, with mitral valve prolapse, presented with recurrent fever and body malaise for four months. ?-hemolytic streptococci was isolated in his blood 3 months prior, antibiotics for 10 days temporarily relieved his symptoms. He denied illicit drug use, recent dental, genitourinary manipulations. On admission, he was febrile with a 4/6 holosystolic murmur at the apex. He had leukocytosis and elevated acute phase reactants. Blood cultures: Aerococcus urinae. A TEE revealed: ruptured chordae and vegetation at the posterior mitral valve leaflet. Gentamicin for 14 days and Ceftriaxone for 28 days was completed. Mitral valve replacement was done and LV dimension returned to normal.
CASE 2:A 51 y/o male presented with 9 days of fever, chills, and malaise. He was treated with norfloxacin with no relief of symptoms. On admission, he was febrile, with a grade 2/6 holosystolic murmur at the apex and left parasternal area. He had leukocytosis and blood culture grew Aerococcus urinae. Echocardiogram showed mitral stenosis, aortic stenosis and vegetations at the mitral valve and non coronary cusp. Pen-G plus Gentamicin for 14 days and upon discharge, amoxicillin for 2 weeks was completed.
DISCUSSION: Risk factors associated with A. urinae endocarditis are >65 year s of age, male, urologic abnormalities, malignancy and diabetes. Diagnosis isusually made by culture as our cases and both were found to have vegetations by echocardiography. B-lactam and amino glycoside treatment is effective and although mortality is high, both patients improved and were discharged.
CONCLUSION: A. urinae endocarditis does occur in a young population and to those without urologic abnormality.

Human ; Male ; Middle Aged ; Young Adult ; Aerococcus ; Amoxicillin ; Anti-bacterial Agents ; Aortic Valve Stenosis ; Diabetes Mellitus ; Endocarditis ; Mitral Valve ; Risk Factors ;

The Covid pandemic nearly brought our lives into a different dimension beyond our imagination. Measures to ensure the safety of everyone have never been stricter. The education system had to deal with similar restrictions. Everyone shifted to online virtual classes, which has never been easy to both the teachers and students. Not only are we concerned of our responsibilities as educators but responsive to the needs of students and patients as well during these times of uncertainties. This article briefly describes my personal insight on teaching medicine and how patients continue to take part in the learning process of students despite restrictions.

Covid-19

Objectives: This study is designed to estimate appropriate intervention thresholds for the Philippines Fracture Risk Assessment Tool (FRAX) model to identify postmenopausal women with high fracture risk. Methods: Age dependent intervention thresholds were calculated for a woman of body mass index 25 kg/m2 aged 50e80 years with a previous fragility fracture without other clinical risk factors. Fixed thresholds were developed using a database of 1546 postmenopausal women who underwent dualenergy X-ray absorptiometry for clinical reasons. Major and hip fracture risks were estimated using clinical risk factors with and without bone mineral density (BMD) input. Women were categorized to high risk and low risk groups according to the age dependent thresholds. The best cut-points were determined considering the optimum sensitivity and specificity using receiver operating characteristic analysis. Results: The age dependent intervention thresholds of major fracture risk ranged from 2.8 to 6.9% while hip fracture risk ranged from 0.4 to 3.0% between 50 and 80 years of age. Major fracture threshold of 3.75% and hip fracture threshold of 1.25% were the best fixed thresholds observed and non-inclusion BMD in the fracture risk estimations did not change the values. As a hybrid method, 3% major fracture and 1% hip fracture risks for those < 70 years old and age-dependent thresholds for those aged 70 years and above can be recommended. Conclusions The intervention thresholds estimated in the current study can be applied to identify Filipino postmenopausal women with a high fracture risk. Clinicians should decide on the type of thresholds most appropriate.

Objectives: This study is designed to estimate appropriate intervention thresholds for the Philippines Fracture Risk Assessment Tool (FRAX) model to identify postmenopausal women with high fracture risk. Methods: Age dependent intervention thresholds were calculated for a woman of body mass index 25 kg/m2 aged 50e80 years with a previous fragility fracture without other clinical risk factors. Fixed thresholds were developed using a database of 1546 postmenopausal women who underwent dualenergy X-ray absorptiometry for clinical reasons. Major and hip fracture risks were estimated using clinical risk factors with and without bone mineral density (BMD) input. Women were categorized to high risk and low risk groups according to the age dependent thresholds. The best cut-points were determined considering the optimum sensitivity and specificity using receiver operating characteristic analysis. Results: The age dependent intervention thresholds of major fracture risk ranged from 2.8 to 6.9% while hip fracture risk ranged from 0.4 to 3.0% between 50 and 80 years of age. Major fracture threshold of 3.75% and hip fracture threshold of 1.25% were the best fixed thresholds observed and non-inclusion BMD in the fracture risk estimations did not change the values. As a hybrid method, 3% major fracture and 1% hip fracture risks for those < 70 years old and age-dependent thresholds for those aged 70 years and above can be recommended. Conclusions The intervention thresholds estimated in the current study can be applied to identify Filipino postmenopausal women with a high fracture risk. Clinicians should decide on the type of thresholds most appropriate.

OBJECTIVE: To obtain reference values of bone mineral density (BMD) for Filipino women in order to make a population-specific diagnosis of osteoporosis.
SETTING: Osteoporosis Unit, Joint and Bone Center, Section of Rheumatology and Clinical Immunology, Department of Medicine, University of Santo Tomas Hospital, Manila, Philippines.
PARTICIPANTS: 442 healthy Filipino women volunteers recruited from the outpatient department, Rheumatology and Clinical Immunology Clinic of the University of Santo Tomas Hospital and from within the University of Santo Tomas campus. Subjects with known underlying illness or conditions or intake of drugs that predispose to osteoporosis were excluded from the study.
INTERVENTION: Bone mineral density (BMD) measurements, expressed in grams per square centimenter of the lumbar spine, non-dominant femur and non-dominant forearm were done in 442 consecutive healthy Filipino women using the LUNAR DPX-IQ machine.
RESULTS: Means and standard deviations of BMD measurements at each site were calculated using Kwikstat software Version 3.6, Release 7. Results were grouped in decades to serve as reference per decade.
CONCLUSION: BMD of these 442 healthy Filipino women may serve as an initial reference guide for the diagnosis of osteoporosis in Filipino women.

Human ; Female ; Aged ; Middle Aged ; Adult ; Young Adult ; Osteoporosis ; Femur ; Forearm ; Chronic Pain ; Delivery Of Health Care ; Bone Density ; Body Mass Index

PURPOSE: We previously reported that insulin resistance, low high-density lipoprotein (HDL) cholesterol, and glycaemic exposure Index are independently associated with peripheral neuropathy in Korean patients with type 2 diabetes mellitus. We followed the patients who participated in that study in 2006 for another 6 years to determine the relationship between insulin resistance and neuropathy. MATERIALS AND METHODS: This study involved 48 of the original 86 Korean patients with type 2 diabetes mellitus who were referred to the Neurology clinic for the assessment of diabetic neuropathy from January 2006 to December 2006. These 48 patients received management for glycaemic control and prevention of diabetic complications in the outpatient clinic up to 2012. We reviewed blood test results and the nerve conduction study findings of these patients, taken over a 6-year period. RESULTS: Low HDL cholesterol and high triglycerides significantly influenced the development of diabetic neuropathy. Kitt value (1/insulin resistance) in the previous study affected the occurrence of neuropathy, despite adequate glycaemic control with HbA1c <7%. Insulin resistance affected the development of diabetic neuropathy after 6 years: insulin resistance in 2006 showed a positive correlation with a change in sural sensory nerve action potential in 2012. CONCLUSION: Diabetic neuropathy can be affected by previous insulin resistance despite regular glycaemic control. Dyslipidaemia should be controlled in patients who show high insulin resistance because HDL cholesterol and triglycerides are strongly correlated with later development of diabetic neuropathy.
Adult ; Diabetes Mellitus, Type 2/*metabolism/*physiopathology ; Diabetic Neuropathies/*metabolism/*physiopathology ; Female ; Humans ; Insulin Resistance/*physiology ; Logistic Models ; Male ; Middle Aged

The success rate for smoking cessation in the country remain low despite the intensified efforts of the government to curb smoking. There is a need to support tobacco control policies with clinical interventions for smoking cessation. However, cessation experts in the country are few and healthcare workers with training on tobacco interventions are limited.  The project aimed to address the clinical aspect of tobacco control by establishing tobacco cessation services in the community. This was done by providing brief tobacco intervention training among health workers and community leaders, thus allowing this intervention to be integrated in the existing programs of the community health center. This also led to the creation of possible referral mechanisms to cessation support providers. This was complemented with health education activities that promote smoke-free behavior. Keywords: tobacco; cigarette smoking; tobacco dependence; smoking cessation; brief advice; brief tobacco intervention​​​​​
Tobacco ; Pilot Projects

Background: Autoimmune diseases represent a significant health burden for 3% to 9% of the general population, and rheumatology, perhaps more than any other medical subspecialty, encompasses a broad array of such diseases that affect a wide range of organ systems including the eye. It serves as a sensitive barometer of autoimmune phenomena in many of the rheumatic diseases.

Objective: The study determined the various ocular manifestations of all autoimmune inflammatory disorders at the University of Santo Tomas Hospital, Section of Rheumatology and the Department of Ophthalmology from 2003 to 2018.

Methodology: A retrospective cohort study was done involving chart review of patients from both private division and clinical division. Sex, age, duration of disease, medications given, and ocular manifestations were determined. Statistical analysis included frequencies, percentages, and logistic regression analysis.

Results: Sixty-seven patients were included in the study. Of these, 58.2% (39/67) had ocular manifestations secondary to an established autoimmune disease. It was found out that 58.97% (23/39) had Vogt-Koyanagi-Harada syndrome. Other autoimmune diseases with ophthalmologic manifestations were systemic lupus erythematosus at 12.8% (5/39), ankylosing spondylitis at 10.25% (4/39), rheumatoid arthritis and Behcet's syndrome at 5.12% (2/39), and granulomatosis with polyangiitis, scleroderma and psoriatic arthritis at 2.56% (1/39).

Conclusion: In this population, the frequency of ocular manifestations of autoimmune diseases remained low with anterior uveitis as the most common. Close coordination between specialties is very important in the course of treatment and management to lessen its complications and related morbidity.

Autoimmune Diseases