INTRODUCTION

Cardiovascular diseases (CVD) are a leading global health concern. Modifiable behavioral risk factors are increasingly recognized in young adults, especially among medical students who often live independently. This study investigated the association between living alone and modifiable cardiovascular risk factors—sleep quality, sodium intake, physical activity, and body mass index (BMI)—among medical students at UERMMMCI during the 2022-2023 academic year.

Researchers conducted an analytical cross-sectional study among 220 medical students. Validated tools were used: Pittsburgh Sleep Quality Index (PSQI), Scored Sodium Questionnaire, International Physical Activity Questionnaire (IPAQ), and BMI classification. Researchers performed statistical analyses using Chi-square tests and calculated relative risks (RR) with 95% confidence intervals.

A significant positive association was found between living alone and poor sleep quality (RR 2.132 p = 0.047). No significant associations were observed between living alone and sodium intake (RR 0.96 p = 0.6868), physical activity (RR 1.18 p = 0.2239), or BMI (RR 1.03 p = 0.7367).

Among the studied cardiovascular risk factors, only poor sleep quality was significantly more prevalent among students living alone. These findings highlight the importance of interventions targeting sleep hygiene in this demographic.

BACKGROUND

Coronary artery disease is the leading cause of death in the Philippines and can present as acute coronary syndrome. Hospitalization for ACS has epidemiologic and economic burden. In fact, last 2017, there were 1.52% or 152 admissions for every 10,000 hospitalized patients for medical conditions in PhilHealth-accredited hospitals locally. However, coronary angioplasty was performed in only less than 1% of these cases mainly because of its cost and the out-of-pocket expense that the treatment entail, when primary percutaneous intervention has been proven to be effective in reducing mortality in STEMI and early invasive intervention performed during index hospitalization for NSTEMI is likewise recommended. Moreover, there is a big disparity between the current case rates for ACS for medical therapy alone and for invasive intervention compared to the actual ACS hospitalization cost.

1) To propose revisions to the current PhilHealth case rates for acute coronary syndrome (ACS); and 2) To determine the budget impact of the proposed ACS case rates.

The Philippine Heart Association with the assistance of a technical working group undertook the study. A panel of experts composed of general and invasive cardiologists from Luzon, Visayas, and Mindanao was formed. The ACS hospitalization costs based on the recent study by Mendoza were presented and discussed during the focus group discussions with the panelists. Issues pertinent to their localities that may affect the costs were discussed. The proposed revised costs on the particular ACS conditions and therapeutic regimens were then voted and agreed upon. A budget impact analysis of the proposed case rates was then performed.

The proposed case rates for ACS ranged from Php 80,000 (for low risk unstable angina given medical treatment) to Php 530,000 (for ST-elevation myocardial infarction initially given a thrombolytic agent then underwent PCI which necessitated the use of three stents). The budget impact analysis showed that the proposed ACS rates would require an additional PHP 1.5 billion to 2.3 billion during the first year of a 3- versus 5-year implementation period, respectively. The period of implementation will be affected by budgetary constraints as well as the availability of cardiac catheterization facilities in the country.

The proposed revised PhilHealth hospitalization coverage for ACS is more reflective or realistic of the ACS hospitalization costs in contrast with the current PhilHealth case rates. The corresponding budget impact analysis of these proposed case rates showed that PHP 7.6 billion is needed for full implementation. However, given the budget constraints, the percentage of the total costs for the first and subsequent years of implementation may be modified.

BACKGROUND

Hospitalization for acute coronary syndrome (ACS) has epidemiologic and economic burden. The coverage for hospitalization in the local setting is much less than the actual costs. Many patients do not consent to or avail of the optimal and timely management because of financial challenges.

The paper aimed to propose revised PhilHealth case rates/packages for ACS, namely: 1) unstable angina (UA), 2) non-ST-elevation myocardial infarction (NSTEMI), and 3) STelevation myocardial infarction (STEMI).

A consensus panel was organized to provide inputs such as cost and other matters pertaining to the revision of the PhilHealth ACS case rates/packages. The results of the cost of hospitalization of the different ACS conditions derived from a study on hospitalization cost for ACS were presented to the panel. Several focused group discussions were held afterward for propositioning new case rates through votation and by nominal group technique, using the costs from the study as the bases of rate adjustment.

Final costs agreed upon by the consensus panel for medical management alone for UA, NSTEMI, and STEMI were adjusted or amended in increments of Php 20,000, (80,000, 100,000, and 120,000, respectively). Thrombolysis of a patient admitted for STEMI increased the cost to Php 140,000. An additional cost of Php 150,000 was added on top of the cost for medical management and coronary angiogram for NSTE- ACS for PCI with use of a single stent. For STEMI, the same category had an additional cost of Php 180,000. For each additional stent used for all clinical scenarios undergoing PCI, Php 65,000 was added, to cover up to a total of 3 stents.

Based on the consensus process with Philippine Heart Association ACS panelists, the cost proposed ranges from 80,000 pesos to 530,000 pesos depending on the clinical scenarios.

OBJECTIVE

This study aimed to determine the budget impact of the proposed revised PhilHealth case rate packages for acute coronary syndrome (ACS).

This budget impact analysis used the static approach or cost calculator modeling method. The prevalence of hospitalization for coronary artery disease in all PhilHealth-accredited hospitals in the country in 2017 and the data from the ACS registry project of the Philippine Heart Association were used in this study. The study multiplied the present PhilHealth coverage with the number of ACS hospitalization claims to come up with the total cost of ACS hospitalization in the next three years with the assumptions that the eligible population and the ACS PhilHealth case rates will remain constant for these years. The future ACS hospitalization costs were also determined if the proposed case rates were used rather than the current PhilHealth case rates. The cost of re-admissions was considered as savings in hospitalization cost (due to prevention of admissions if the appropriate interventions were given) and were deducted from the future total cost of ACS hospitalizations.

The annual total ACS hospitalization cost using the current case rates was Php 1,134,683,000. Using the proposed case rates, the total hospitalization costs over five years was Php 2,653,019,000 in the first year (proposed case rates implemented to only 20% of the ACS patients) and increased to Php 8,726,364,000 by year 5 (full implementation of the proposed case rates or to 100% of ACS patients). This resulted in a lower incremental cost in the first year of implementation compared with a less gradual implementation over 3 years. The total incremental costs would amount to PHP7.6 billion for full implementation.

The study provided the budget impact of the proposed revised ACS case rates. The incremental cost is relatively huge, however the benefits of providing coverage of guidelinedirected therapy including invasive strategies for ACS must be considered.

INTRODUCTION: Brachial plexus injuries (BPI) have devastating functional effects. Clinical outcomes of BPI reconstruction have been documented in literature; however, these do not use EMG and quantitative kinematic studies. OBJECTIVE: This study aims to use a markerless motion analysis tool (KINECT) and surface EMG to assess the functional outcomes of adult patients with traumatic upper trunk BPI who have undergone nerve transfers for the shoulder and elbow in comparison to the normal contralateral limb. METHODS: This is an exploratory study which evaluated three participants with BPI after nerve reconstruction. KINECT was used to evaluate the kinematics (range of motion, velocity, and acceleration) and the surface EMG for muscle electrical signals (root mean square, peak EMG signal, and peak activation time) of the extremities. The means of each parameter were computed and compared using t-test or Mann-Whitney U test. RESULTS: Participant C, with the best clinical recovery, showed mostly higher KINECT and EMG values for the BPI extremity. There was a significant difference between the KINECT data of Participants A and B, with lower mean values for the BPI extremity. Most of the EMG results showed lower signals for the BPI extremity, with statistical significance. CONCLUSION The KINECT and surface EMG provide simple, cost-effective, quick, and objective assessment tools. These can be used for monitoring and as basis for formulating individualized interventions. A specific algorithm should be developed for the KINECT sensors to address errors in data collection. A fine needle EMG may be more useful in evaluating the muscles involved in shoulder external rotation.

Objectives. We determined the prevalence of patients at risk for obstructive sleep apnea (OSA) with uncontrolled type 2 diabetes mellitus (T2DM) at the out-patient department (OPD) of the University of the Philippines-Philippine General Hospital (UP-PGH) from December 1, 2018 - February 28, 2019. We described the demographic characteristics of patients with uncontrolled T2DM and compared them with high and low OSA risk, its association, and correlation with the quality of sleep. Methods. This is a prospective cross-sectional study among uncontrolled T2DM. The questionnaires were Berlin Questionnaire (screen OSA-HR) and Epworth Sleepiness Score (level of sleepiness). Clinicodemographic profile and significant laboratory data were obtained. Descriptive statistics utilized. Chi-square test was used to compare categorical variables between patients with high vs low OSA risk and to determine if an association exists between OSA-HR and sleep quality. Results. A total of 240 participants, 88 males and 151 females, were included in the study. The overall prevalence of OSA-HR among patients with uncontrolled type 2DM is 58.33%. The majority of the OSA–HR patients (105/140) was 46 years old and above. There is a significant association of tonsillar grade, Mallampati score, BMI, HbA1c, hypercholesterolonemia, and Epworth sleepiness on OSA High risk. There is also a substantial association with age, BMI, Mallampati score, tonsillar grade, hypertension, asthma, HbA1c, and hypercholesterelonemia on the level of sleepiness of OSA-HR. Conclusion. There is a high prevalence of high OSA-risk among patients with uncontrolled DM. Factors associated with high OSA-risk among uncontrolled diabetes mellitus include HbA1c, dyslipidemia, BMI, Mallampati score, tonsillar grade, and Epworth score.
Sleep Apnea, Obstructive ; Diabetes Mellitus, Type 2

Objectives. We determined the prevalence of patients at risk for obstructive sleep apnea (OSA) with uncontrolled type 2 diabetes mellitus (T2DM) at the out-patient department (OPD) of the University of the Philippines-Philippine General Hospital (UP-PGH) from December 1, 2018 - February 28, 2019. We described the demographic characteristics of patients with uncontrolled T2DM and compared them with high and low OSA risk, its association, and correlation with the quality of sleep. Methods. This is a prospective cross-sectional study among uncontrolled T2DM. The questionnaires were Berlin Questionnaire (screen OSA-HR) and Epworth Sleepiness Score (level of sleepiness). Clinicodemographic profile and significant laboratory data were obtained. Descriptive statistics utilized. Chi-square test was used to compare categorical variables between patients with high vs low OSA risk and to determine if an association exists between OSA-HR and sleep quality. Results. A total of 240 participants, 88 males and 151 females, were included in the study. The overall prevalence of OSA-HR among patients with uncontrolled type 2DM is 58.33%. The majority of the OSA–HR patients (105 /140) was 46 years old and above. There is a significant association of tonsillar grade, Mallampati score, BMI, HbA1c, hypercholesterolonemia, and Epworth sleepiness on OSA High risk. There is also a substantial association with age, BMI, Mallampati score, tonsillar grade, hypertension, asthma, HbA1c, and hypercholesterelonemia on the level of sleepiness of OSA-HR. Conclusion. There is a high prevalence of high OSA-risk among patients with uncontrolled DM. Factors associated with high OSA-risk among uncontrolled diabetes mellitus include HbA1c, dyslipidemia, BMI, Mallampati score, tonsillar grade, and Epworth score.
Sleep Apnea, Obstructive ; Diabetes Mellitus, Type 2

Medial medullary infarction is a rare type of stroke and is usually secondary to a large artery atherothrombosis and small penetrating artery disease. Bilateral medial medullary infarction is even less frequent with a much poorer outcome. We present the case of a 55-yearold Filipino male, hypertensive, who initially complained of vertiginous dizziness with signs and symptoms of right lateral medullary infarction. Within 24 hours of hospitalization, patient’s symptoms evolved into a bilateral medullary infarct. Up to this date, this is the first case report of a Wallenberg syndrome that evolved into a bilateral medial medullary infarct.

Background & Objectives: Stroke mimics are conditions that simulate the signs and symptoms of a stroke. These conditions pose a clinical challenge as they need to be distinguished from actual strokes based on neurologic findings, laboratory tests, and imaging studies in order to minimize the adverse effects of acute stroke therapies as well as hospital costs. The study aims to determine the rate and the most common etiologies of stroke mimics in a private tertiary care hospital in the Philippines and calculate the average cost incurred for diagnostics. Methods: We conducted a retrospective review of medical records of adult patients assessed by the hospital’s Brain Attack Team from 1 January 2014 to 31 December 2017. The diagnosis of stroke mimic was based on negative neuroimaging findings and laboratory results that showed an alternate diagnosis, in consultation with the stroke neurologist on call. Results: A total of 1,485 patient records were analyzed; 448 patients (30.2%) were diagnosed as stroke mimics. The most common etiologies were encephalopathy (83 cases, 18.5%), seizures (77 cases, 17.2%), headache (31 cases, 6.9%), hypertensive emergency (31 cases, 6.9%), and radiculopathy (27 cases, 6.0%). The average cost for diagnostics for each patient diagnosed as a stroke mimic was PHP 24,629.53 (approximately US$500). Conclusion: Stroke mimics are often encountered in the emergency setting. Due to the wide range of medical conditions that mimic stroke, early recognition is important in order to avoid the potential adverse effects of acute stroke therapies and minimize diagnostic costs, particularly in countries with limited resources.