The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

BACKGROUND AND OBJECTIVE

Nurses comprise the majority of the health workforce in the Philippines. Previous studies revealed that nurses manifest negative mental health outcomes exacerbated by COVID-19 pandemic. This study aims to determine the Professional Quality of Life (ProQOL) of nurses in the Philippines and their workplace psychosocial support interventions during the pandemic. The ProQOL measures compassion satisfaction (CS), burnout (BO), and secondary traumatic stress (STS).

A self-administered online questionnaire was disseminated by the Philippine Nurses Association, Inc. to affiliated nurses via email and Facebook posts. Out of 713 responses, 239 were eligible with their data analyzed using t-test, one-way ANOVA, and post hoc pairwise multiple comparisons.

Respondents were found to have high CS (41.95 [SD 5.97]), moderate BO (23.56 [SD 6.07]), and moderate STS (26.62 [SD 8.18]). The most reported intervention was policies on confidentiality of workers’ mental health (84.94%) while the least reported was community engagements under the hospital’s mental health program (61.51%). ProQOL scores significantly differed in CS by age (p=0.011), position (p=0.044) and monthly income (p=0.016), BO by age (p=0.001) and years with current employer (p=0.009), and STS by region (p=0.017) and area of assignment (p=0.015). The existence of interventions yielded significant increase in CS and decrease in BO scores.

Nurses in the Philippines exhibit high and favorable ProQOL during the pandemic. The majority of respondents reported the presence of workplace interventions which yield significant differences in CS and BO. The findings highlight the importance of workplace psychosocial support interventions and the need to strengthen implementation.

OBJECTIVE

Given that rabies remains endemic in the Philippines despite government interventions and the pandemicrelated restrictions have hampered its surveillance, this study aimed to estimate the effect of human population, anti-rabies vaccination efforts, and COVID-19 situation on the spread of rabies cases in the districts of Davao City, Philippines.

A retrospective study of the canine records at Davao City Veterinarians’ Office was done from January 2018 to June 2021. Monthly rabies cases were ascertained, and the effect of the human population, COVID-19 season, and vaccination ratio on rabies cases was estimated using panel regression models adjusting for confounding factors.

The reporting of rabies cases was lower during COVID-19 than during the non-COVID-19 season, with an IRR of 0.52 [95% confidence interval (CI): 0.33–0.82]. Furthermore, rabies cases increased by 2.23% (95% CI: 0.60–3.89) per 1% increase in vaccination ratio. Additionally, high-population districts recorded more rabies cases than low-population districts.

Consistency in monitoring rabies cases during the pandemic is suggested as a roadmap for future program initiatives. Vaccination efforts should be reinforced to increase rabies awareness and ensure early response to emerging diseases. Moreover, highpopulated districts should be prioritized in implementing rabies control interventions to gain optimal development.

BACKGROUND AND OBJECTIVE

Rabies continues to be a challenge in Davao City despite the efforts of the city’s local government to vaccinate primarily the non-stray dog population. Meanwhile, studies have shown that time-dependent vaccination strategy is considered a prime factor for a cost-effective rabies control strategy. Hence, this study aims to provide information that will determine the optimal vaccination strategy targeted to the stray dog population that minimizes the rabies-infected dog population and vaccination costs using optimal control theory (OCT).

OCT is used to identify the optimal level of key rabies control, i.e., vaccination. Here, OCT was applied to a modified Susceptible-Exposed-Infectious-Vaccinated (SEIV) compartmental model. The study's key parameters were derived from published articles on rabies in Davao City and similar regions, along with the city's rabies reports.

The findings revealed that while rabies remains endemic in the city, it is possible to reduce the number of cases through consistent implementation of vaccination programs to the exposed and susceptible dog populations. Nevertheless, the feasibility of these findings relies to the effective targeting of vaccine coverage for the dog population. From the simulations performed, the exposed dog population (i.e., pre-rabid dogs) was able to reach zero observation when the transmission rate (?) is 0.001 for all values of anti-rabies vaccine coverages for exposed (?) and susceptible (b) dog populations and ? = 0.01 only when ? = 0.7 and b = 0.7, ? = 0.7 and b = 0.5, and ? = 0.5 and b = 0.7. Consequently, the number of infectious dogs will thereby decrease. Moreover, a nonlinear correspondence was also observed in all scenarios between the vaccination rate and the number of rabies-exposed dogs such that the reduction in the incidence of rabies cases becomes apparent only when the vaccination rate is at least 0.9995.

In high rabies transmissibility scenarios, a time-dependent vaccination strategy demonstrated a reduction in the number of rabies-infected dogs. However, this approach involves a trade-off, limiting the period during which monthly vaccinations can be relaxed. Consequently, a robust and timely vaccination program for dogs is crucial to manage high rabies transmission rates. Lastly, the model simulation underscores the importance of initiating monthly vaccinations.

BACKGROUND AND OBJECTIVE

Physician adherence to the recommended management of patients with heart failure with reduced ejection fraction (HFrEF) at the outpatient setting is crucial to reduce the burden of subsequent rehospitalization, morbidity, and mortality. Recently updated guidelines recommend early and rapid titration to optimal doses of medications in the first 2 to 6 weeks of discharge. In the absence of local data, our study evaluates physician adherence to guideline-recommended treatment in this setting.

This is a retrospective cross-sectional study among post-discharge HFrEF patients at the outpatient department from December 2022 to May 2023 with a follow-up within three months. Clinical profile and treatment were extracted from medical records. Adherence to the 2021 ESC Guidelines Class I recommendations, among eligible patients, is measured as quality indicators. Data are presented using descriptive statistics.

A total of 99 patients were included in the study. Overall, adherence to prescription of beta-blockers (94.8%), ACEI/ARNI/ARBs (88.5%), and diuretics (100%) were high. Prescription of mineralocorticoid receptor antagonists (MRA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) were 67% and 57.3%, respectively. Over three months of follow-up, improvement in the quality of care was demonstrated with ACEI/ARNI/ARBs (81.8% to 90.9%), MRA (68.7 to 81.2%), and SGLT2i (58% to 67.7%). Beta-blocker use is consistently high at 97%. In the 3rd month post-discharge, titration to optimal doses was achieved in only 26.4%, 15%, and 6.25% for those on beta-blockers, ACEI/ARNI/ARB, and MRA, respectively. For non-pharmacologic management, referral to HF specialty was made in 30% and cardiac rehabilitation in 22.2%.

Among patients with HFrEF seen at the outpatient, there is good physician adherence to betablockers, ACEI/ARNI/ARBs, and diuretics. MRA and SGLT2i prescription, referral to HF specialty and cardiac rehabilitation, and up-titration to optimal doses of oral medications for HF need improvement. Hospital pathway development and regular performance evaluation will improve initiation, maintenance, and up-titration of appropriate treatment.

Parasitic dermoid cysts may form from autoamputation of the ovarian mass secondary to torsion or rupture. It may then reimplant in surrounding structures and undergo subsequent neovascularization and further growth. The true incidence of these cases is unknown, however, a study reported a 0.04% incidence among 1,007 cases of dermoid cysts. This report describes the case of a 30-year-old multigravida who presented with an ultrasound finding of an ovarian dermoid cyst, which, upon laparoscopic surgery, turned out to be a parasitic dermoid cyst adherent to the bladder, with grossly normal bilateral ovaries. Theories on the development of parasitic dermoid cyst are also presented.
Human ; Female ; Adult: 25-44 yrs old ; dermoid cyst ; laparoscopy

Objective: Using semiquantitative risk scoring, this study estimated the probability of ASF transmission in 23 selected provinces. Methods: The factors influencing ASF spread were identified; 10 through a literature review and the positivity for ASF virus (ASFv) of meat samples from an ongoing surveillance study.Secondary data from each sampled province were collected, and the provinces were scored across these factors and classified into one of three risk categories. Results: Six out of 23 provinces were categorized as high-risk due to the high number of ASFv-positive meat samples, backyard pigs, and ASF occurrences. Conversely, four provinces were classified as low-risk due to consistently low scores across all indicators. The difference in the meat contamination level between low- and high-risk provinces emphasizes the importance of including this factor in the ASF spread assessment. Conclusions and Relevance: Risk estimation of ASF transmission must consider meat sample contamination. Active surveillance at local borders can monitor contamination and prevent ASFv sources from entering areas. This approach allows the government to allocate resources and prioritize higher-risk areas.

The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

BACKGROUND AND OBJECTIVE

COVID-19 has been associated with cardiac injury, often detectable through electrocardiographic (ECG) changes. This study seeks to characterize the cardiovascular and electrocardiographic profiles of adult patients diagnosed with COVID-19.

This study included adult patients with confirmed COVID-19 from June 2021 to June 2022. Clinical profiles and 12-lead ECG tracings were obtained from electronic medical records and reviewed independently by three cardiologists. Descriptive analysis was performed to summarize the cardiovascular and electrocardiographic findings in this population.

The study included 998 COVID-19 patients (mean age: 50 years; 53.7% male). The most common comorbidities were hypertension, diabetes, and dyslipidemia. A majority (31.36%) presented with severe COVID-19 infection. The most frequent significant ECG abnormalities observed at admission were sinus tachycardia (22.8%), and atrial fibrillation (11.02%). Additional ischemic findings included ST segment depression (2.91%), T-wave inversion (1.70%), and ST segment elevation (2.71%).

The baseline ECG findings among COVID-19 patients were predominantly normal; however, significant abnormalities were also identified. The most frequent abnormalities included sinus tachycardia, atrial fibrillation, and ischemic changes, all of which may have clinical implications.

Objective: Using semiquantitative risk scoring, this study estimated the probability of ASF transmission in 23 selected provinces. Methods: The factors influencing ASF spread were identified; 10 through a literature review and the positivity for ASF virus (ASFv) of meat samples from an ongoing surveillance study.Secondary data from each sampled province were collected, and the provinces were scored across these factors and classified into one of three risk categories. Results: Six out of 23 provinces were categorized as high-risk due to the high number of ASFv-positive meat samples, backyard pigs, and ASF occurrences. Conversely, four provinces were classified as low-risk due to consistently low scores across all indicators. The difference in the meat contamination level between low- and high-risk provinces emphasizes the importance of including this factor in the ASF spread assessment. Conclusions and Relevance: Risk estimation of ASF transmission must consider meat sample contamination. Active surveillance at local borders can monitor contamination and prevent ASFv sources from entering areas. This approach allows the government to allocate resources and prioritize higher-risk areas.