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1.
Heliyon ; 10(1): e24015, 2024 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-38234894

RESUMO

Background: The COVID-19 pandemic has had a severe impact on the Latin American subcontinent, particularly in areas with limited hospital resources and a restricted Intensive Care Unit (ICU) capacity. This study aimed to provide a comprehensive description of the clinical characteristics, outcomes, and factors associated with survival of COVID-19 hospitalized patients in Honduras. Research question: What were the characteristics and outcomes of COVID-19 patients in a large referral center in Honduras? Study design and methods: This study employed a retrospective cohort design conducted in a single center in San Pedro Sula, Honduras, between October 2020 to March 2021. All hospitalized cases of confirmed COVID-19 during this timeframe were included in the analysis. Univariable and multivariable survival analysis were performed using Kaplan-Meier curves and Cox proportional hazards model aiming to identify factors associated with decreased 30 day in-hospital survival, using a priori-selected factors. Results: A total of 929 confirmed cases were identified in this cohort, with males accounting for 55.4 % of cases. The case fatality rate among the hospitalized patients was found to be 50.1 % corresponding to 466 deaths. Patients with comorbidities such as hypertension, diabetes, obesity, chronic kidney disease, chronic obstructive pulmonary disease and cardiovascular disease had a higher likelihood of mortality. Additionally, non-survivors had a significantly longer time from illness onset to hospital admission compared to survivors (8.2 days vs 4.7 days). Among the cohort, 306 patients (32.9 %) met criteria for ICU admission. However, due to limited capacity, only 60 patients (19·6 %) were admitted to the ICU. Importantly, patients that were unable to receive level-appropriate care had lower likelihood of survival compared to those who received level-appropriate care (hazard ratio: 1.84). Interpretation: This study represents, the largest investigation of in-hospital COVID-19 cases in Honduras and Central America. The findings highlight a substantial case fatality rate among hospitalized patients. In this study, patients who couldn't receive level-appropriate care (ICU admission) had a significantly lower likelihood of survival when compared to those who did. These results underscore the significant impact of healthcare access during the pandemic, particularly in low- and middle-income countries.

2.
Thromb Update ; 9: 100124, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38620940

RESUMO

Background: SARS-COV-2, in most cases, only generates a mild acute respiratory disease. However, patients with severe disease show an exaggerated response of the immune system, creating a pro-inflammatory state, which could cause abnormalities in the coagulation system that increases mortality. Latin American countries, specially those with limited resources, have few studies about clinical features, coagulation and inflammatory biomarkers that could be useful at admission to assess poor outcomes. Objective: The objective of this study is to describe the clinical features, coagulation, and inflammatory biomarkers, and identify risk factors at admission that are associated poor outcomes in Honduran population. Methods: A cohort study was conducted. 210 patients were included, which 105 died during hospitalization due to COVID-19 and 105 were discharged alive, between September 2020 and January 2021. Clinical and laboratorial data was retrospectively collected. Results: 57,6% of the population were male. The median age was 58 years. The median time between symptom onset and hospital admission was 6 days. D-dimer median was higher in the dead group compared with the alive group. Poor prognosis factors in the Cox multivariable model were male gender, age, symptom's duration, obesity and an elevated d dimer at admission. Conclusion: In low-middle income countries, the assessment of these clinical and laboratory tools, especially in those with risk factors for prothrombotic states, could help clinicians to correctly stratify disease prognosis, establish a baseline to evaluate further evolution, and also predict outcomes, thus improving patient management.

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