Prognostic models based on survival data frequently make use of the Cox proportional hazards model. Developing reliable Cox models with few events relative to the number of predictors can be challenging, even in low-dimensional datasets, with a much larger number of observations than variables. In such a setting we examined the performance of methods used to estimate a Cox model, including (i) full model using all available predictors and estimated by standard tech-niques, (ii) backward elimination (BE), (iii) ridge regression, (iv) least absolute shrinkage and selec-tion operator (lasso), and (v) elastic net. Based on a prospective cohort of patients with manifest coronary artery disease (CAD), we performed a simulation study to compare the predictive accu-racy, calibration, and discrimination of these approaches. Candidate predictors for incident cardio-vascular events we used included clinical variables, biomarkers, and a selection of genetic variants associated with CAD. The penalized methods, i.e., ridge, lasso, and elastic net, showed a compara-ble performance, in terms of predictive accuracy, calibration, and discrimination, and outperformed BE and the full model. Excessive shrinkage was observed in some cases for the penalized methods, mostly on the simulation scenarios having the lowest ratio of a number of events to the number of variables. We conclude that in similar settings, these three penalized methods can be used interchangeably. The full model and backward elimination are not recommended in rare event scenarios.

OBJECTIVES: To determine the effect of prolonged cotrimoxazole prophylaxis (CP) in reducing hospitalization and opportunistic infection rates among people living with HIV (PLHIV) with CD4 count >200 cells/mm3.
METHODS:  We retrospectively reviewed 349 medical charts of PLHIV with CD4 count (or T-cell count) of >200 cells/mm3 enrolled in an HIV treatment hub in Manila, Philippines, from January 2004 to July 2016. Demographic, clinical characteristics and outcomes were extracted. Descriptive statistics were generated. Chi-square test for two proportions was done to compare the difference in outcomes between the CP and non-CP groups.
RESULTS:  Of the 349 patients, majority (96.6%) were male with a mean age of 28 years (SD 6.4) and mean CD4 count of 373 cells/mm3 (SD 148). CP was continued in 103 patients (29.5%) with mean duration of 1.7 (SD 1.9) years. The prolonged CP group had more events of adverse drug reactions (p<0.001), specifically minor cutaneous reactions (p<0.001) and immunologic failures (p<0.001), compared to the non-CP group. There were no statistically significant differences in the frequency of hospitalization, PJP (Pneumocystis jirovecii pneumonia), non-PJP, other respiratory illnesses, diarrhea, toxoplasmosis, tuberculosis, stage 3/4 events and mortality, between the prolonged CP and non-CP groups.
CONCLUSION: We did not observe any additional benefit in giving prolonged CP among PLHIV with CD4 count >200 cells/mm3. More adverse effects were also seen in the CP group.

Objectives: People living with HIV (PLHIV) are susceptible to develop dyslipidemia and hyperglycemia. This study aims to determine the prevalence of these metabolic derangements among Filipino PLHIV. Methodology: We reviewed 635 medical records in a treatment hub in Manila, Philippines from January 2004 to July 2016. Logistic regression analysis was done to determine factors associated with dyslipidemia and hyperglycemia pre- and post-ART. Results: Among 635 PLHIV, 97.3% were males with mean age of 30 years and median CD4 count of 207 cells/mm3. Pre-ART, prevalence of dyslipidemia was 65.4% and hyperglycemia was 10.4%. Risk factors for dyslipidemia include hyperglycemia (AOR 3.8, p 0.001) and >320 days delay in ART initiation from HIV confirmation (AOR 1.5, p 0.032), while dyslipidemia was associated with hyperglycemia (AOR 3.1, p 0.001). Post-ART, prevalence of dyslipidemia was 48.6% and hyperglycemia was 15.6%. Risk factors for post-ART dyslipidemia include being WHO stage 4 (AOR 2.1, p 0.021), hyperglycemia (AOR 16.1, p<0.001), >36 months ART duration (AOR 8.7, p<0.001) and efavirenz-based ART (AOR 2.8, p<0.001). Low CD4 count post-ART had a negative correlation with dyslipidemia (AOR 0.5, p 0.005). Post-ART hyperglycemia was associated with age >30 years (AOR 2.1, p 0.004), being overweight (AOR 1.8, p 0.023), dyslipidemia (AOR 17.8, p<0.001) and zidovudine-based ART (AOR 1.4, p 0.051). Conclusion Dyslipidemia and hyperglycemia prevalence was high in Filipino PLHIV. Traditional, HIV and treatment related factors contributed to its development. Intensive monitoring and initiation of appropriate treatment is recommended.
HIV ; Acquired Immunodeficiency Syndrome ; Dyslipidemias ; Hyperglycemia

BACKGROUND: Prior to developing a community-based rehabilitation program, there is a need to conduct a needs assessment to identify the factors that may affect the quality of life (QOL) in a community. However, after reviewing related literature, no community needs assessment tools were readily accessible and were directed toward the target population and research locale of this study. OBJECTIVE: The study aims to develop and validate a questionnaire that assesses the needs of selected barangays in Binangonan, Rizal as part of the first phase of the PRECEDE-PROCEED model. METHODS: A purposive sampling method will be utilized in recruiting via email a panel of experts, consisting of five content experts and five lay experts, to evaluate the researcher-developed questionnaire’s content validity. Content validity will be assessed through evaluation of the tool’s grammar, choice of words, question construction, and scoring of items. The data will then be analyzed by a statistician using content validity ratio (CVR) and content validity index (CVI) where questions may be retained, revised, or eliminated. EXPECTED RESULTS The study expects to produce a content-validated questionnaire in English consisting of four dimensions: social, epidemiological, educational, and administrative/policy. For an item to be considered valid, scores for CVR and CVI should be equal to or greater than the cut-off values. The information from the questionnaire may be utilized by healthcare professionals aiming to improve the QOL in the community.

Background: and Purpose Recent studies suggested an increased incidence of cerebral venous thrombosis (CVT) during the coronavirus disease 2019 (COVID-19) pandemic. We evaluated the volume of CVT hospitalization and in-hospital mortality during the 1st year of the COVID-19 pandemic compared to the preceding year. Methods: We conducted a cross-sectional retrospective study of 171 stroke centers from 49 countries. We recorded COVID-19 admission volumes, CVT hospitalization, and CVT in-hospital mortality from January 1, 2019, to May 31, 2021. CVT diagnoses were identified by International Classification of Disease-10 (ICD-10) codes or stroke databases. We additionally sought to compare the same metrics in the first 5 months of 2021 compared to the corresponding months in 2019 and 2020 (ClinicalTrials.gov Identifier: NCT04934020). Results: There were 2,313 CVT admissions across the 1-year pre-pandemic (2019) and pandemic year (2020); no differences in CVT volume or CVT mortality were observed. During the first 5 months of 2021, there was an increase in CVT volumes compared to 2019 (27.5%; 95% confidence interval [CI], 24.2 to 32.0; P<0.0001) and 2020 (41.4%; 95% CI, 37.0 to 46.0; P<0.0001). A COVID-19 diagnosis was present in 7.6% (132/1,738) of CVT hospitalizations. CVT was present in 0.04% (103/292,080) of COVID-19 hospitalizations. During the first pandemic year, CVT mortality was higher in patients who were COVID positive compared to COVID negative patients (8/53 [15.0%] vs. 41/910 [4.5%], P=0.004). There was an increase in CVT mortality during the first 5 months of pandemic years 2020 and 2021 compared to the first 5 months of the pre-pandemic year 2019 (2019 vs. 2020: 2.26% vs. 4.74%, P=0.05; 2019 vs. 2021: 2.26% vs. 4.99%, P=0.03). In the first 5 months of 2021, there were 26 cases of vaccine-induced immune thrombotic thrombocytopenia (VITT), resulting in six deaths. Conclusions During the 1st year of the COVID-19 pandemic, CVT hospitalization volume and CVT in-hospital mortality did not change compared to the prior year. COVID-19 diagnosis was associated with higher CVT in-hospital mortality. During the first 5 months of 2021, there was an increase in CVT hospitalization volume and increase in CVT-related mortality, partially attributable to VITT.