BACKGROUND

Granulomatous mastitis (GM) of the breast has long posed a clinical dilemma in terms of diagnosis and management. GM can range from acute to chronic inflammations, which will have treatment implications. Inflammation of the breast may clinically mimic breast carcinomas and pyogenic abscesses. Thus, in the absence of known etiology, such as trauma or breastfeeding, GM may be difficult to diagnose. Currently, the incidence of GM is 2.4 per 100,000 women and 0.37% of the total population in the US. The rarity of GM contributes to it being a poorly understood disease. It has no definite clinical features and is often confused with a neoplasm or infection clinically and radiologically.

The study aimed to describe the clinical characteristics of GM seen in the Breast Care Clinic in the Philippine General Hospital (PGH) from January 2015 to June 2019. This study would initially provide institutional data on GM that is relevant in the Philippines.

This is a retrospective observational study of patients with GM seen in the Philippine General Hospital, a national tertiary referral hospital, from January 2015 to June 2019.

A total of 43 patients with pathological findings of GM from January 1, 2015 to June 15, 2019 were recorded. Among these 43 patients, 98% were female. The median age was 38.9 ± 11.3 years old. In 60.5% (26 out of 43) of patients, the initial impression was breast malignancy. The most common clinical presentation in 69.8% (30 out of 43) of the subjects was a breast mass. In more than 50% of the patients, breast ultrasonography was the initial imaging performed. The histopathologic profile of the patients showed inflammation, of which, the greatest were that of chronic granulomatous inflammation (46.5%, n-20). Treatment options performed were tended more medical (53.5%, n-23) than surgical (16.3%, n-7).Among those who received medical treatment, the therapeutics given were antitubercular medications (34.9%, n-15) and antibiotics (16.3%, n-7), while the others had a combination of antitubercular and antibiotic regimen medications (2.3%, n-1); unknown treatment (25.6%, n-11) and none (11.6%, n-5). For patient outcomes, no mortalities were recorded during the study period. However, most patients had inconsistent followups. Approximately 7%-23% of the patients who had followed up within the six months showed improvement or resolution of symptoms.

This study assessed the clinical profiles of patients with GM in a national tertiary referral hospital. Internationally, there is still no consensus on the algorithm and management of GM patients. However, the authors recommend a close follow-up every two weeks to re-evaluate patient response to the medical regimen being administered. The authors recommend a prospective study with a longer follow-up period to gain a deeper understanding of GM in Filipinos.

BACKGROUND

Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by inflammatory arthritis and extra-articular involvement. Comorbidities are highly prevalent in patients with RA, in particular cardiovascular disease (CVD), which is responsible for over 50% of premature deaths. This study aimed to describe cardiovascular diseases and their risk factors among patients with rheumatoid arthritis in the Philippine General Hospital (PGH).

To describe cardiovascular (CV) diseases and their risk factors among patients with rheumatoid arthritis.

A retrospective descriptive cross-sectional study was done in the University of the Philippines – Philippine General Hospital (UP-PGH) inpatient and outpatient services. The study included patients 18 years old and above diagnosed with RA and fulfills the 1987 American College of Rheumatology or 2010 American College of Rheumatology-European League Against Rheumatism (ACR/EULAR) classification criteria with no overlap features with other autoimmune connective tissue diseases and with complete records of the information required for the study from January 2019-December 2022. The primary outcomes of interest were the prevalence of CV diseases and CV risk factors. Descriptive statistics were used to summarize the data.

There were 123 patients in the study, 93.4% outpatients, and 95.1% females, with a mean age and disease duration of 51.3 and 9.8 years, respectively. Disease activity was moderate in 35% and high in 9.7%, based on disease activity score (DAS 28) or clinical disease activity index (CDAI) scores. Methotrexate (54%) was the most commonly used conventional synthetic disease-modifying antirheumatic drug (csDMARD). Glucocorticoid use was observed in 51.2%. None of the patients were receiving a biologic DMARD. There were 24 (19.5%) patients with CV diseases, namely myocardial infarction, heart failure, and stroke. There were 87 (70%) patients with at least one CV risk factor and 62 (50.4%) with multiple risk factors. The risk factors identified were: dyslipidemia (43.1%), hypertension (40.7%), elevated body mass index (35.7%), and diabetes mellitus (15.4%). There were f ive deaths in the hospitalized patients (4%), one due to a myocardial infarction.

The majority (70%) in our cohort had at least one CV risk factor, 19.5% had an identified CV disease, and one died from a myocardial infarction. Dyslipidemia was the most common CV risk factor. The high proportion of patients with CV disease and CV risk factors highlights the need to add the screening and management of CV diseases and risk factors as a priority among patients with rheumatoid arthritis.

Chinese medicine (CM) diagnosis intellectualization is one of the hotspots in the research of CM modernization. The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues, however, it is difficult to solve the problems such as excessive or similar categories. With the development of natural language processing techniques, text generation technique has become increasingly mature. In this study, we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues. The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory (BILSTM) with Transformer as the backbone network. Meanwhile, the CM diagnosis generation model Knowledge Graph Enhanced Transformer (KGET) was established by introducing the knowledge in medical field to enhance the inferential capability. The KGET model was established based on 566 CM case texts, and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence (LSTM-seq2seq), Bidirectional and Auto-Regression Transformer (BART), and Chinese Pre-trained Unbalanced Transformer (CPT), so as to analyze the model manifestations. Finally, the ablation experiments were performed to explore the influence of the optimized part on the KGET model. The results of Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation 1 (ROUGE1), ROUGE2 and Edit distance of KGET model were 45.85, 73.93, 54.59 and 7.12, respectively in this study. Compared with LSTM-seq2seq, BART and CPT models, the KGET model was higher in BLEU, ROUGE1 and ROUGE2 by 6.00-17.09, 1.65-9.39 and 0.51-17.62, respectively, and lower in Edit distance by 0.47-3.21. The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance. Additionally, the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the practical diagnosis results. In conclusion, text generation technology can be effectively applied to CM diagnostic modeling. It can effectively avoid the problem of poor diagnostic performance caused by excessive and similar categories in traditional CM diagnostic classification models. CM diagnostic text generation technology has broad application prospects in the future.
Humans ; Medicine, Chinese Traditional ; Pattern Recognition, Automated ; Asian People ; Language ; Learning

BACKGROUND: Sacubitril/valsartan is currently a standard medication in the treatment of reduced ejection fraction heart failure (HFrEF), and studies have also shown its efficacy for controlling hypertension. However, its efficacy varies between populations, and current recommendations are predominantly based on non Asian data. Hence, this study synthesizes the available evidence to determine its overall efficacy and safety among Asians. METHODS: A systematic search through PubMed, ScienceDirect, Cochrane, HERDIN PLUS, and ClinicalTrials.gov was done to include randomized controlled trials with Asian data comparing sacubitril/valsartan against an active control. The Cochrane Risk of Bias 2.0 was used to assess each article for bias. Forest plots in fixed-effects model for major adverse cardiovascular events (MACEs), hypertension control, and safety were created using RevMan 5.4. RESULTS AND DISCUSSION: Ten articles with an overall low risk of bias were included involving 6120 Asians. Sacubitril/valsartan showed better hypertension control against conventional angiotensin blocker (odds ratio [OR], 1.63; confidence interval [CI], 1.38–1.92; I2 = 7%). However, MACE reduction was not significant in HFrEF (hazard ratio, 0.89; CI, 0.73–1.08; I2 = 0%) or acute myocardial infarction (hazard ratio, 0.90; CI, 0.65–1.24; I2 = 0%). Safety was comparable to conventional angiotensin-converting enzyme inhibitors angiotensin receptor blocker (ARB) with a severe adverse event OR of 0.81 (CI, 0.44–1.50; I2 = 38%) and nonsevere adverse event OR of 1.09 (CI, 0.88–1.35; I2 = 44%). These results implicate the nee for efficacy studies focused on Asians, reassessment of the strength of recommendations in the treatment of heart failure, and consideration of sacubitril/valsartan as a treatment option for hypertension. CONCLUSION Among Asians, better hypertension control is seen with LCZ696 than conventional ARB. However, MACE reduction in HFrEF or acute myocardial infarction is insignificant, although there is a trend toward benefit. Finally, safety is comparable to conventional angiotensin-converting enzyme inhibitors/ARBs.\.
Asian ; Heart Failure ; Hypertension ; LCZ696 ; sacubitril and valsartan sodium hydrate drug combination

Obesity is an epidemic and a major public health concern, with 800 million obese people worldwide and 27 million in the Philippines. Several guidelines have recommended that all adults be screened for obesity and that obese patients be offered intensive, multi-component behavioral interventions. Barriers to addressing obesity include insufficient time during visits, a lack of available referral services, the perception that patients will not be willing or able to make lifestyle changes, poor reimbursement for nutrition and weight-management counseling, a reluctance to discuss weight among physicians, and uncertainty about whether interventions will have a positive impact. Lifestyle medicine interventions and smartphone diet-tracking apps may help individuals lose weight, manage chronic conditions, and understand dietary patterns. This is a case report of a 31-year-old obese Filipino male who sought consultation at the Health and Lifestyle Institute with a complaint of 11 kg of weight gain over the past 4 years. He had previously been diagnosed with Hodgkin’s lymphoma and had previously undergone chemotherapy and radiation therapy. He was currently working as a resident physician at a private institution. He considered himself physically active and was thus concerned with his gradual weight gain and the resultant decrease in body image, as well as his overall health. A detailed history and physical examination were done, as were the examinations of the six pillars of lifestyle medicine, namely, diet, exercise, sleep, stress, relationships, and substance use. The GAD 7 and PHQ 9 screening questionnaires were given. Lifestyle prescription and setting of goals were then done, and the patient was followed up at a 4-month interval. On all visits, body fat analysis using a Karada scan was done, and the results were discussed with the patient. On the second follow-up consult, the patient reported the usefulness of a diet-tracking application he found called Lifesum. The patient lost a total of 13 kg and improved his overall sense of well-being.
Obesity ; case report ; Asian ; male

Humans ; Neoplasm, Residual/diagnosis* ; Consensus ; East Asian People ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy* ; Bone Marrow ; Flow Cytometry

Humans ; Consensus ; East Asian People ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Hepatitis B/virology* ; Hepatitis B Antibodies ; Hepatitis B Surface Antigens ; Hepatitis B virus/physiology* ; Virus Activation ; Latent Infection/virology*

Humans ; Bronchiolitis Obliterans Syndrome ; Chronic Disease ; Consensus ; East Asian People ; Graft vs Host Disease/etiology* ; Hematopoietic Stem Cell Transplantation ; Eye Diseases/etiology*

Myopia has emerged as a public health issue with the increasing prevalence of myopia in children and adolescents in China. In the clinical diagnosis and treatment of myopia, there are clinical stages and classifications, but they are not suitable for the prevention and control of myopia at the public health level. At the public health level, because there is no staging standard for myopia, there is a lack of staging prevention and control guidance for different refractive errors. Therefore, the Public Health Ophthalmology Branch of the Chinese Preventive Medicine Association organized domestic experts in relevant fields to conduct literature searches and discuss based on the research data on myopia at home and abroad, put forward the stages of public health strategies for myopia prevention and control and corresponding group prevention and control measures for each stage to reached this experts consensus. This consensus first proposes a method for assessing myopia risk, in order to predict the occurrence and development of myopia in children and adolescents; From the perspective of public health, myopia prevention and control is further divided into four stages: myopia prodromal stage, myopia development stage, high myopia stage, and pathological myopia stage. According to this consensus, myopia prevention and control technology is targeted and implemented in different stages to provide guidance for myopia prevention and control from the perspective of public health.
Humans ; Child ; Adolescent ; Public Health ; Consensus ; Myopia/epidemiology* ; Refractive Errors/epidemiology* ; Asian People ; China/epidemiology*

BACKGROUND: The prevalence of hypertension is high among Chinese adults, thus, identifying non-hypertensive individuals at high risk for intervention will help to improve the efficiency of primary prevention strategies. METHODS: The cross-sectional data on 9699 participants aged 20 to 80 years were collected from the China National Health Survey in Gansu and Hebei provinces in 2016 to 2017, and they were nonrandomly split into the training set and validation set based on location. Multivariable logistic regression analysis was performed to develop the diagnostic prediction model, which was presented as a nomogram and a website with risk classification. Predictive performances of the model were evaluated using discrimination and calibration, and were further compared with a previously published model. Decision curve analysis was used to calculate the standardized net benefit for assessing the clinical usefulness of the model. RESULTS: The Lasso regression analysis identified the significant predictors of hypertension in the training set, and a diagnostic model was developed using logistic regression. A nomogram with risk classification was constructed to visualize the model, and a website ( https://chris-yu.shinyapps.io/hypertension_risk_prediction/ ) was developed to calculate the exact probabilities of hypertension. The model showed good discrimination and calibration, with the C-index of 0.789 (95% confidence interval [CI]: 0.768, 0.810) through internal validation and 0.829 (95% CI: 0.816, 0.842) through external validation. Decision curve analysis demonstrated that the model was clinically useful. The model had a higher area under receiver operating characteristic curves in training and validation sets compared with a previously published diagnostic model based on Northern China population. CONCLUSION This study developed and validated a diagnostic model for hypertension prediction in Gansu Province. A nomogram and a website were developed to make the model conveniently used to facilitate the individualized prediction of hypertension in the general population of Han and Yugur.
Adult ; Humans ; Asian People ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Hypertension/epidemiology* ; Nomograms ; Ethnicity