OBJECTIVES

A growing body of evidence points to a positive association between periodontitis and
various systemic diseases, including cardiovascular diseases (CVD), hypertension, and rheumatoid arthritis. However,
there is limited data on the prevalence and odds of having systemic conditions among Filipino periodontal patients.
Thus, this study aimed to determine the association of periodontal disease with systemic conditions among Filipino
patients at a university dental clinic.

METHODS

The periodontal and medical charts of all patients who underwent periodontal consult at a university
dental clinic within two academic years were reviewed. Periodontal diagnoses which had originally been assigned
using the 1999 classification of periodontal diseases were reclassified based on the 2018 European Federation
of Periodontology-American Academy of Periodontology classification. Listed medical conditions in the patients’
charts were self-reported. The prevalence of various systemic conditions in 715 periodontitis cases was compared
to that of 834 control patients without periodontitis. Fisher’s exact test was performed to evaluate the difference
in the prevalence of comorbidities between groups, while adjusted odds ratios (AOR) were computed using logistic
regression analysis, accounting for age, sex, educational attainment, and smoking status.

RESULTS

The prevalence of having at least one systemic condition was significantly higher among periodontitis patients
(44.5%) compared to non-periodontitis patients (36.3%). Compared to controls, a significantly higher number of
periodontitis cases had two systemic comorbidities (P=0.001). The prevalence of hypertension (18.6% versus 5.04%),
CVD including hypertension (20.42% versus 6.95%), arthritis (9.37% versus 3.0%), and diabetes mellitus (5.73% versus
0.84%) were all significantly higher in patients with periodontitis compared to non-periodontitis controls.
The odds of having CVD (AOR=1.81), hypertension (AOR=2.14) and diabetes (AOR=3.05) were higher in periodontitis cases. Meanwhile, the prevalence of asthma (9.23% versus 5.31%), respiratory diseases including asthma (12.95% versus 8.25%), and allergies (18.82% versus 13.71%) were significantly higher in non- periodontitis patients compared to periodontitis cases.

CONCLUSION

Periodontitis patients were more likely to present with CVD, hypertension, and diabetes mellitus. On the other hand, no association was found between periodontitis and respiratory diseases, as well as between periodontitis and asthma.

Human ; Male ; Female ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Aged: 65-79 Yrs Old ; Regression (psychology) ; Respiratory Tract Diseases ; Regression Analysis ; Periodontal Diseases ; Cardiovascular Diseases

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).

OBJECTIVE

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

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Human ; Female ; Cardiovascular Diseases ; Arthritis, Rheumatoid ; Asian

BACKGROUND AND OBJECTIVE

The Philippine Package of Essential Noncommunicable Disease Interventions (PhilPEN) was introduced by the Department of Health through AO 2012-0029. This is anchored to WHO PEN, a prioritized set of cost-effective interventions that can be carried out to provide an acceptable standard of care at the primary health care level, even in low-resource settings. The study aims to evaluate the availability and adequacy of primary health care facilities in providing the PhilPEN package of interventions using the WHO assessment tool.

METHODS

A cross-sectional survey was conducted in 25 randomly selected primary health care facilities in Metro Manila. Data were collected through structured interviews with facility staff and direct observation using a standardized questionnaire aligned with PhilPEN and WHO PEN guidelines. The tool assessed PhilPEN inputs (infrastructure, human resources, basic tools and equipment, essential medicines, record-keeping, financing) and services (risk assessment and screening, early diagnosis and monitoring, treatment and follow-up, counseling, referral of patients).

RESULTS

All facilities met the basic standards for infrastructure, human resources, record keeping, and financing. However, only 40% had all essential medicines, and just 16% had complete tools, including urine ketone/protein test strips. Risk assessment and patient counseling were consistently implemented, but early diagnosis and follow-up services were inconsistent due to training and supply gaps.

CONCLUSION

Primary health care centers in Metro Manila demonstrate partial readiness for PhilPEN implementation. Gaps in tools, medicines, and protocol availability should be addressed to optimize NCD service delivery.

Human ; Primary Health Care ; Noncommunicable Diseases ; Delivery Of Health Care ; Standard Of Care ; Cardiovascular Diseases

Resveratrol(Res) is a kind of polyphenolic compound, possessing multiple biological activities such as antioxidant, anti-inflammatory, cardioprotective, and anticancer effects. In recent years, the cardiovascular protective mechanism of Res has become a research hotspot. Studies have shown that Res has a protective effect on the cardiovascular system through various pathways, such as inhibiting oxidative stress, regulating ferroptosis of cells, improving ischemia-reperfusion(I/R) injury, regulating lipid metabolism, suppressing inflammatory responses, and enhancing endothelial function. It can also alleviate cardiotoxicity caused by drugs and chemicals. In terms of oxidative stress, Res reduces the level of intracellular reactive oxygen species(ROS) by enhancing the expression of proteins such as silent information regulator 1(SIRT1) and regulating mitochondrial function, thereby alleviating myocardial cell damage. Regarding ferroptosis, Res inhibits the occurrence of ferroptosis by regulating the expression of proteins related to iron metabolism. Res can also improve I/R injury through mechanisms such as activating autophagy and the mitochondrial quality control network. In regard to improving endothelial function, Res protects the function of endothelial cells by regulating multiple signaling pathways, such as downregulating the PREP1-mediated pathway. Res can also regulate lipid metabolism and inhibit the progression of atherosclerosis. In terms of inflammatory responses, Res exerts anti-inflammatory effects through mechanisms such as inhibiting the nuclear factor-kappa B(NF-κB) signaling pathway. In addition, Res has an improving effect on cardiotoxicity caused by different drugs or environmental factors. However, the clinical application of Res still faces limitations such as poor pharmacokinetic properties. In the future, in-depth exploration is needed at multiple levels from basic research to clinical application to clarify the dose-response relationship and standardize the standards of medication regimens with the expectation of providing more effective strategies for the prevention and treatment of cardiovascular diseases.
Humans ; Resveratrol/pharmacology* ; Animals ; Cardiotonic Agents/pharmacology* ; Oxidative Stress/drug effects* ; Cardiovascular Diseases/genetics* ; Cardiovascular System/metabolism* ; Signal Transduction/drug effects*

Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

Heart sounds are critical for early detection of cardiovascular diseases, yet existing studies mostly focus on traditional signal segmentation, feature extraction, and shallow classifiers, which often fail to sufficiently capture the dynamic and nonlinear characteristics of heart sounds, limit recognition of complex heart sound patterns, and are sensitive to data imbalance, resulting in poor classification performance. To address these limitations, this study proposes a novel heart sound classification method that integrates improved Mel-frequency cepstral coefficients (MFCC) for feature extraction with a convolutional neural network (CNN) and a deep Transformer model. In the preprocessing stage, a Butterworth filter is applied for denoising, and continuous heart sound signals are directly processed without segmenting the cardiac cycles, allowing the improved MFCC features to better capture dynamic characteristics. These features are then fed into a CNN for feature learning, followed by global average pooling (GAP) to reduce model complexity and mitigate overfitting. Lastly, a deep Transformer module is employed to further extract and fuse features, completing the heart sound classification. To handle data imbalance, the model uses focal loss as the objective function. Experiments on two public datasets demonstrate that the proposed method performs effectively in both binary and multi-class classification tasks. This approach enables efficient classification of continuous heart sound signals, provides a reference methodology for future heart sound research for disease classification, and supports the development of wearable devices and home monitoring systems.
Heart Sounds/physiology* ; Humans ; Algorithms ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Cardiovascular Diseases/diagnosis* ; Classification Algorithms

The pursuit of healthy aging has long rendered aging and senescence captivating. Age-related ailments, such as cardiovascular diseases, diabetes, and neurodegenerative disorders, pose significant threats to individuals. Recent studies have shed light on the intricate mechanisms encompassing genetics, epigenetics, transcriptomics, and metabolomics in the processes of senescence and aging, as well as the establishment of age-related pathologies. Amidst these underlying mechanisms governing aging and related pathology metabolism assumes a pivotal role that holds promise for intervention and therapeutics. The advancements in metabolomics techniques and analysis methods have significantly propelled the study of senescence and aging, particularly with the aid of multiscale metabolomics which has facilitated the discovery of metabolic markers and therapeutic potentials. This review provides an overview of senescence and aging, emphasizing the crucial role metabolism plays in the aging process as well as age-related diseases.
Humans ; Aging/metabolism* ; Metabolomics/methods* ; Neurodegenerative Diseases/metabolism* ; Cardiovascular Diseases/metabolism*

Leonurus japonicas Houtt., has been recorded as "light body and long life" properties in the oldest classical medicinal book Shennong Bencao Jing thousands of years ago. Herba leonuri, also named Chinese Motherwort or Siberian Motherwort, has the effects of activating blood circulation, regulating menstruation, diuresis and detumescence, clearing heat and detoxifying, and is known as the "sacred medicine of gynecology." It has been well known by doctors and usually used in the treatment of common gynecological diseases in clinic. Leonurine is a very important alkaloid in Herba leonuri, which has many biological activities such as anti-oxidation, anti-inflammation, and anti-apoptosis. Diseases of the cardiovascular system and central nervous system are "major health threats" that threaten human life and health worldwide, however, many drugs have certain side effects right now. This paper reviews the potential molecular therapeutic effects of leonurine on cardiovascular system and central nervous system diseases, highlights the current findings of research progress, and focuses on the therapeutic effects of leonurine in various diseases. At present, leonurine is in the stage of clinical experiment, and we hope that our summary can provide guidance for its future molecular mechanism study and clinical application.
Humans ; Gallic Acid/therapeutic use* ; Leonurus/chemistry* ; Cardiovascular Diseases/drug therapy* ; Animals ; Central Nervous System Diseases/drug therapy*

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).

OBJECTIVE

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

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Human ; Female ; Cardiovascular Diseases ; Arthritis, Rheumatoid ; Asian

OBJECTIVE

This study aimed to evaluate the nutritional adequacy and compliance with cardiovascular disease (CVD) guidelines in therapeutic diets implemented in four hospitals in General Santos City, Philippines.

METHODS

The study employed a cross-sectional study and analyzed the one-day therapeutic menus of four hospitals using the Philippine Food Composition Table and the United States Department of Agriculture nutrient database. The nutrient contents calculated in this study were compared among hospitals and benchmarked against the Philippine Dietary Reference Intakes (PDRI) and CVD-specific guidelines, the Dietary Approaches to Stop Hypertension (DASH), and Therapeutic Lifestyle Changes (TLC). The nutrient adequacy ratios (NARs) and the corresponding mean (SD) values were used to interpret the data.

RESULTS

Based on the PDRI, the mean (SD) NARs for proteins, simple sugars, vitamin B6, folate, and vitamin B12 were 116% (11%), 72% (16%), 139% (34%), 115% (7%), and 324% (156%), respectively, which were all interpreted as adequate. However, the mean (SD) NARs for energy, 88% (7%), and dietary fiber, 53% (33%), indicate non-compliance with the requirements for these components. As for the DASH guidelines, the hospitals failed to meet the recommendations for calcium, magnesium, and potassium, with mean (SD) NARs of 45% (14%), 49% (10%), and 51% (7%), respectively. The levels of saturated fatty acids, 195% (53%), and dietary cholesterol, 363% (177%), exceeded the limits set by the guidelines. For the TLC guidelines, the mean (SD) NARs of 70% (24%) and 40% (10%) for monounsaturated fatty acids and polyunsaturated fatty acids, respectively, were interpreted as suboptimal. Conclusive interpretations cannot be drawn for sodium, total carbohydrates, total fats due to large variations in their compositions among the hospitals.

CONCLUSION

At the menu analysis level, while the therapeutic diets adhered to the recommendations for proteins, simple sugars, and the vitamins, they fell short in their provision for energy, unsaturated fats, dietary fiber, and most minerals. They also exceeded the limits for most dietary lipid parameters set by DASH and TLC. The findings of this study highlight the need for improvements in nutritional adequacy and adherence to CVD guidelines in hospital therapeutic diets. Due to the limited number of observations, future research should aim to confirm and clarify these findings.

Cardiovascular Diseases ; Nutrients