Climate change and variability are affecting human health and disease direct or indirectly through many mechanisms. Dengue is one of those diseases that is strongly influenced by climate variability; however its study in Central America has been poorly approached. In this study, we assessed potential associations between macroclimatic and microclimatic variation and dengue hemorrhagic fever (DHF) cases in the main hospital of Honduras during 2010. In this year, 3,353 cases of DHF were reported in the Hospital Escuela, Tegucigalpa. Climatic periods marked a difference of 158% in the mean incidence of cases, from El Niño weeks (-99% of cases below the mean incidence) to La Niña months (+59% of cases above it) (p<0.01). Linear regression showed significantly higher dengue incidence with lower values of Oceanic Niño Index (p=0.0097), higher rain probability (p=0.0149), accumulated rain (p=0.0443) and higher relative humidity (p=0.0292). At a multiple linear regression model using those variables, ONI values shown to be the most important and significant factor found to be associated with the monthly occurrence of DHF cases (r2=0.649; βstandardized=–0.836; p=0.01). As has been shown herein, climate variability is an important element influencing the dengue epidemiology in Honduras. However, it is necessary to extend these studies in this and other countries in the Central America region, because these models can be applied for surveillance as well as for prediction of dengue.

Introduction: Red cell distribution width (RDW) is a parameter that is readily available as part of a standard complete blood count (CBC). Studies have shown that an elevated RDW is associated with increased cardiovascular events including acute coronary syndrome (ACS). This cross- sectional retrospective study was conducted to determine the association of RDW in patients with ACS admitted to Bataan General Hospital and Medical Center (BGHMC). Methods: A cross-sectional study was performed in a 500-bed tertiary care hospital in Bataan, Philippines. The clinical medical records of patients with ACS were analyzed retrospectively. A total of 811 patients was admitted as cases of ACS from January 2017 to December 2019. Using Slovin’s formula, the computed sample size was 261 patients. However, only 205 cases were included in the study in accordance to the eligibility criteria. The baseline RDW were recorded from the CBC obtained upon admission of patients with ACS. Results: Based on the data collected from January 2017 to December 2019 from patients admitted to BGHMC, there was no significant association between RDW and in-house morbidity and mortality and classification of ACS. Conclusions There were no significant association between RDW and in-house morbidity and mortality and classification of ACS. The authors recommend to conduct the study for a longer duration to have more population included and to include other parameters such as cardiac enzymes, electrocardiogram (ECG) changes and presence of co-morbidities.
Erythrocyte Indices ; Acute Coronary Syndrome ; Angina, Unstable ; ST Elevation Myocardial Infarction