OBJECTIVES

This study aimed at determining the association of the clinical profile of patients with GDM to maternal and neonatal outcomes

METHODS

This single-center, retrospective, descriptive, cross-sectional chart review was conducted in a tertiary hospital in Cebu City to 229 patients with GDM admitted from January 2021 to December 2022.

RESULTS

The study revealed several significant associations. Hypertension was strongly linked with primary cesarean section (OR: 4.32, P-value 0.004); and severe pre-eclampsia (OR: 16.97, P-value: 0.000). Gravidity showed significant correlations with Ballard’s score (P-value: 0.013), birthweight (P-value: 0.045) and 5-minute APGAR score (P-value: 0.001). Parity was associated with birthweight (P-value: 0.011) and 5-minute APGAR score (P-value: 0.001). Weight gain during pregnancy was linked to birthweight (P-value: 0.004) and occurrence of congenital anomalies (OR: 1.26, P-Value: 0.032). Additionally, prenatal smoking was associated with 5-minute APGAR score (P-value: 0.006). Moreover, having a Small for Gestational Age (SGA) fetal growth status is associated with insulin-requiring mothers, (OR: 4.79, P-Value: 0.049); and a family history of diabetes was significantly associated with insulin therapy (OR: 5.38, P-value: 0.021).

CONCLUSION

Patients' clinical profile affect maternal and neonatal outcomes among patients with GDM. Careful consideration of these factors during the perinatal period may help reduce maternal and fetal risks

Tertiary Care Centers ; Smoking ; Pregnancy ; Diabetes, Gestational ; Hypertension ; Apgar Score

OBJECTIVES

Clinical pathways (CPs) ensure adherence to heart failure (HF) management guidelines. To optimize quality care in a low resource setting, an evidence-based care pathway for the management of acute HF was implemented at the emergency department (ED) of the Philippine General Hospital (PGH), the designated national tertiary hospital and referral center. This study aimed to describe the characteristics of adults with acute HF admitted at the ED and evaluate the quality of care they received, measured using physician adherence to the hospital’s acute heart failure CP.

METHODS

This was a retrospective, descriptive cohort study. We reviewed the inpatient charts of all adult patients with acute HF admitted to the ED of the PGH and referred to the Division of Cardiovascular Medicine between December 1, 2022 and May 31, 2023. Quality of care was assessed based on adherence to quality indicators adapted from routine and conditional order sets detailed in the pathway. Descriptive statistics was utilized to describe patient characteristics, quality of care, and outcomes.

RESULTS

Two hundred thirty-six (236) patients were included, with a mean age of 51.8 years. Majority were male (53.4%); hypertension (61.4%) and ischemic heart disease (53.8%) were the most common comorbidities, and infection the most common precipitant of decompensation (60.6%). There were optimal adherence rates to routine orders, which included referrals to Internal Medicine and Cardiology, baseline vital signs monitoring, fluid intake and output monitoring, chest radiograph, complete blood count, blood urea nitrogen, sodium, potassium, prothrombin time, partial thromboplastin time, arterial blood gas, urinalysis, and N-terminal pro b-type natriuretic peptide. Conditional orders, such as oxygen support, focused echocardiography, thyroid - stimulating hormone, and the use of vasopressors, diuretics, and venous thromboembolism prophylactic agents, were optimally performed when warranted. However, we noted suboptimal adherence to certain resource-intensive conditional orders, such as hourly monitoring of urine output (61.4%), hooking to cardiac monitor (53.8%), and performance of 12-lead ECG within 10 minutes (56.8%). Further, only 43.9% of patients were referred to the intensive care unit. Troponin I, calcium, magnesium, and albumin were ordered in excess.

CONCLUSION

Overall adherence rate of physicians to the hospital’s Acute Heart Failure Pathway was satisfactory. Work is needed to improve adherence to hourly urine output monitoring, consistent hooking to cardiac monitor, and timely performance of 12-lead ECG – an effort that begins with expanding in-hospital diagnostic equipment and human resource supply. We recommend continuous pathway implementation with periodic evaluation and stakeholder feedback to further improve quality of care.

Human ; Male ; Female ; Middle Aged: 45-64 Yrs Old ; Adult ; Albumins ; Blood ; Blood Urea Nitrogen ; Calcium ; Cardiology ; Chart ; Charts ; Cohort Studies ; Critical Care ; Critical Pathways ; Diagnostic Equipment ; Disease ; Diuretics ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Equipment And Supplies ; Evaluation Studies As Topic ; Feedback ; Heart ; Heart Diseases ; Heart Failure ; Hormones ; Hospitals ; Hospitals, General ; Humans ; Hypertension ; Indicators And Reagents ; Infection ; Infections ; Inpatients ; Intensive Care Units ; Internal Medicine ; Lead ; Magnesium ; Male ; Medicine ; Myocardial Ischemia ; Natriuretic Peptide, Brain ; Natriuretic Peptides ; Nitrogen ; Overall ; Oxygen ; Partial Thromboplastin Time ; Patients ; Peptides ; Philippines ; Physicians ; Potassium ; Prothrombin ; Prothrombin Time ; Quality Of Health Care ; Referral And Consultation ; Sodium ; Statistics ; Tertiary Care Centers ; Thorax ; Thromboembolism ; Thromboplastin ; Thyroid Gland ; Time ; Troponin ; Troponin I ; Universities ; Urea ; Urinalysis ; Urine ; Venous Thromboembolism ; Vital Signs ; Work ; Workforce

BACKGROUND AND OBJECTIVES

Technological advancements are reshaping healthcare, particularly through mobile health (mHealth) applications that aid chronic disease management. Medication tracking apps, such as Simpill, have shown potential in improving outcomes for conditions like hypertension. However, disparities in digital literacy and concerns related to technology acceptance and privacy may hinder effective use. Grounded in the principles of the Design Thinking approach, this study sought to evaluate the relationship between health-seeking behavior (HSB), perceived barriers (PB), and the perceived usability (PU) of Simpill among middle-aged hypertensive adults. The research aimed to capture not only measurable associations but also to inform future app development through a user-centered lens that prioritizes empathy and real-world usability.

METHODS

A quantitative, descriptive-correlational research design was employed to assess respondents’ HSB, PB, and PU related to Simpill. The study was guided by core phases of the Design Thinking framework, particularly empathize and define, to ensure a deep understanding of user needs and usability constraints. Data were collected using a four-part, researcher-modified questionnaire administered to 138 purposively selected middle-aged adults (30–59 years old) residing in Barangay Industrial Valley, Zone 6, Marikina City, Philippines. All participants had a confirmed diagnosis of hypertension. Correlational analyses, including Kendall’s Tau B, were conducted to examine relationships among the variables. The integration of Design Thinking informed the development and interpretation of questionnaire items, aligning them with real-world challenges experienced by the target users.

RESULTS

The study investigated the relationship between HSB, PB, and the PU of Simpill among 138 middle-aged hypertensive individuals. Most respondents were female (55.8%), aged 50–59 (47.8%), and employed in non health-related sectors (95.7%). HSB levels were gene rally high (mean = 3.23), particularly in actively seeking health information, while lower engagement was noted in routine vital sign monitoring. PB were moderate (mean = 2.06), with unfamiliarity with the application cited as a common issue. PU was also rated as moderate (mean = 2.80), although ease of use received a low score (mean = 1.99). A weak positive correlation was found between HSB and PU (Kendall’s Tau B = 0.123, p = 0.049), while a moderate negative correlation existed between PB and PU (Tau B = -0.402, p < 0.001). These findings reflect insights derived from the Design Thinking "empathize" phase, suggesting that while proactive health behaviors may modestly support app engagement, unresolved user pain points—such as poor usability and lack of familiarity—remain significant obstacles to adoption. The results underscore the importance of moving to the "ideate" and "prototype" phases, where such user insights can directly shape the redesign and improvement of mHealth tools.

CONCLUSION

The study identified a high level of health- seeking behavior, reflecting the respondents’ engagement with their health and openness to guidance, consistent with the user-empathy foundation of Design Thinking. Moderate perceived barriers highlight existing challenges in technology adaptation, particularly among those who prefer traditional methods. The moderate PU rating of Simpill, especially in terms of ease of use, suggests the app’s current design does not fully align with user capabilities or expectations. In line with Design Thinking principles, particularly user-centered innovation, the findings emphasize the need to involve users in iterative co-design processes to improve mHealth solutions. Addressing perceived barriers through enhanced digital literacy, usability testing, and interface refinement could substantially boost app acceptance and effectiveness in real-world settings.

Human ; Hypertension ; Mobile Applications ; Health Behavior ; User-centered Design

INTRODUCTION

Secondary hypertension should be suspected among young individuals and patients with recent onset of hypertension or drug-resistant hypertension. Among the causes of secondary hypertension, renovascular hypertension is well-established and correctible if diagnosed appropriately. We report the case of a young female with an unusual cause of renovascular hypertension.

CLINICAL PRESENTATION:

A 29-year-old female was admitted for elevated blood pressure and headache, unresponsive to multiple antihypertensives. The workup for secondary hypertension was mostly unremarkable. However, renal Doppler ultrasound showed elevated peak systolic velocity in the left renal artery. CT angiogram revealed an outpouching between the left gonadal and renal veins. No renal artery stenosis was found on renal angiography, but venography revealed an aneurysm between the left gonadal and renal veins. An aberrant vein draining into the inferior vena cava (IVC) and severe reflux into a dilated left gonadal vein were also noted.

MANAGEMENTCONCLUSION

This case highlights a rare cause of renovascular hypertension due to renal vein congestion from severe left gonadal vein reflux and a renal/gonadal vein aneurysm. Additional mechanisms may include external compression of the renal artery or a suction effect caused by multiple venous outflows. Regardless of the exact pathophysiology, coiling of the aneurysm and gonadal vein successfully restored normal venous return and resolved hypertension.

Human ; Female ; Adult: 25-44 Yrs Old ; Veins ; Research Report ; Renal Veins ; Pharmaceutical Preparations ; Patients ; Hypertension, Renovascular ; Hypertension ; Female ; Aneurysm

Ischemic heart disease (IHD) remains the most common cause of death while cerebrovascular disease (CVD) is the third most common in the Philippines. IHD and CVD represent complications resulting from prevalent non-communicable diseases (NCDs) and risk factors which present important opportunities for primary and secondary prevention.

This study aimed to pilot a sustainable multisectoral approach for community-based screening and management of cardiovascular (CV) risk factors and determine the effects of a multisectoral collaboration approach on the rate of screening, prevalence and control rates for selected risk factors.

This is a quality improvement project that determines the baseline prevalence and control rates of CV risk factors followed by intense screening efforts with support from private partnerships. The project's core components are: (a) capacity building (b) information dissemination; (c) service provision; and (d) health monitoring. Rates of screening, prevalence and control were monitored over a two-year period.

A total of 94,125 patients were screened through the ONE Cavite Project over two years (January 2021 to December 2022). A total of 61,271 were newly identified as having hypertension (65.1%), 24,069 diagnosed with diabetes mellitus type 2 (25.6%), 29,257 diagnosed to have dyslipidemia (31.1%) and 13,204 smokers (14.0%) were identified.

Intensification of screening was successful in improving identification of individuals with NCDs. The impact of continued educational support for both providers and patients in this study reaffirmed its role as a central component of NCD diagnosis, management and prevention.

Hypertension ; Diabetes Mellitus ; Dyslipidemias ; Myocardial Ischemia ; Primary Prevention

Ischemic heart disease (IHD) remains the most common cause of death while cerebrovascular disease (CVD) is the third most common in the Philippines. IHD and CVD represent complications resulting from prevalent non-communicable diseases (NCDs) and risk factors which present important opportunities for primary and secondary prevention.

This study aimed to pilot a sustainable multisectoral approach for community-based screening and management of cardiovascular (CV) risk factors and determine the effects of a multisectoral collaboration approach on the rate of screening, prevalence and control rates for selected risk factors.

This is a quality improvement project that determines the baseline prevalence and control rates of CV risk factors followed by intense screening efforts with support from private partnerships. The project's core components are: (a) capacity building (b) information dissemination; (c) service provision; and (d) health monitoring. Rates of screening, prevalence and control were monitored over a two-year period.

A total of 94,125 patients were screened through the ONE Cavite Project over two years (January 2021 to December 2022). A total of 61,271 were newly identified as having hypertension (65.1%), 24,069 diagnosed with diabetes mellitus type 2 (25.6%), 29,257 diagnosed to have dyslipidemia (31.1%) and 13,204 smokers (14.0%) were identified.

Intensification of screening was successful in improving identification of individuals with NCDs. The impact of continued educational support for both providers and patients in this study reaffirmed its role as a central component of NCD diagnosis, management and prevention.

Hypertension ; Diabetes Mellitus ; Dyslipidemias ; Myocardial Ischemia ; Primary Prevention

A male neonate was admitted on postnatal day 1 with persistent pulmonary hypertension. Despite aggressive treatment, the pulmonary hypertension progressively worsened, leading to early right heart failure. Whole-exome sequencing of the family revealed compound heterozygous mutations c.192del and c.192_193del in the NDUFAF2 gene, inherited from each parent, meeting the pathogenic variant criteria of the American College of Medical Genetics and Genomics. Autopsy showed pulmonary artery dilation and myocardial hypertrophy, with no evidence of alveolar capillary dysplasia on lung tissue electron microscopy. Mutations in the NDUFAF2 gene are associated with mitochondrial complex I deficiency. This is the first reported case associating NDUFAF2 mutations with neonatal primary pulmonary hypertension, providing new genetic evidence for this condition and highlighting the importance of genetic and pathological studies in severe neonatal diseases.
Humans ; Male ; Mutation ; Infant, Newborn ; Hypertension, Pulmonary/genetics*

Transcatheter aortic valve replacement (TAVR) has emerged as the standard treatment for severe aortic stenosis, demonstrating comparable efficacy to traditional surgery in low and intermediate-risk patients. However, the bioprosthetic valves utilized in TAVR have a limited lifespan, and bioprosthetic valve failure, including calcification, rupture or infection may develop, leading to poor clinical outcomes. Elevated blood pressure has been identified as a key factor in aortic valve calcification, and its role in bioprosthetic valve failure is gaining increasing attention. Hypertension may accelerate the calcification process and exacerbate valve failure due to increased mechanical stress on the valve, activation of the renin-angiotensin system, and enhanced thrombus formation. Furthermore, elevated blood pressure interacts with prosthesis mismatch and paravalvular leak, jointly affecting valve durability. This review explores the impact of elevated blood pressure on bioprosthetic valve calcification and failure after TAVR, and emphasizes the importance of blood pressure control, optimized preoperative assessment, and appropriate valve selection in reducing valve failures.
Humans ; Transcatheter Aortic Valve Replacement/adverse effects* ; Calcinosis/etiology* ; Bioprosthesis ; Heart Valve Prosthesis/adverse effects* ; Prosthesis Failure ; Aortic Valve Stenosis/surgery* ; Aortic Valve/surgery* ; Hypertension/physiopathology*

OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension. METHODS: We analyzed data from the 2011 China Health and Nutrition Survey cohort of individuals who were not hypertensive at baseline and had follow-up results available for prediction by 2015. We tested and evaluated the performance of four traditional machine learning algorithms commonly used in epidemiological studies: Logistic Regression, Support Vector Machine, XGBoost, LightGBM, and two deep learning algorithms: TabNet and AMFormer model. We modeled using 16 and 29 features, respectively. SHAP values were applied to select key features associated with new onset hypertension. RESULTS: A total of 4,982 participants were included in the analysis, of whom 1,017 developed hypertension during the 4-year follow-up. Among the 16-feature models, Logistic Regression had the highest AUC of 0.784(0.775∼0.806). In the 29-feature prediction models, AMFormer performed the best with an AUC of 0.802(0.795∼0.820), and also scored the highest in MCC (0.417, 95%CI: 0.400∼0.434) and F1 (0.503, 95%CI: 0.484∼0.505) metrics, demonstrating superior overall performance compared to the other models. Additionally, key features selected based on the AMFormer, such as age, province, waist circumference, urban or rural location, education level, employment status, weight, WHR, and BMI, played significant roles. CONCLUSION We used the AMFormer model for the first time in predicting new onset hypertension and achieved the best results among the six algorithms tested. Key features associated with new onset hypertension can be determined through this algorithm. The practice of machine learning algorithms can further enhance the predictive efficacy of diseases and identify risk factors for diseases.
Humans ; China/epidemiology* ; Hypertension/diagnosis* ; Machine Learning ; Male ; Female ; Middle Aged ; Adult ; Nutrition Surveys ; Algorithms ; Aged ; Risk Factors