Mortality from Sickle Cell Disease in Brazil
Blatyta, P.; DiLorenzo, C.; Gomes, I.; Salomon, T.; Sabino, E. C.; Capuani, L.; Cruz, D. T.; Maximo, C.; Flor-Park, M. V.; Mota, R.; Werneck, D.; Dinardo, C. L.; Almeida-Neto, C.; Custer, B.; Kelly, S.
Show abstract
IntroductionMany individuals with sickle cell disease (SCD) die before age 60, despite early detection via neonatal screening and implementation of treatments such as vaccines and antibiotic prophylaxis and the increasing availability of disease modifying therapies. This study evaluated the causes and independent predictors of mortality in a SCD population in Brazil. MethodsThis analysis was performed within the multicenter Recipient Epidemiology and Donor Evaluation (REDS)-III SCD cohort which was established at 6 participating centers in Brazil from 2013-2018. Participants were randomly selected as eligible and recruited at routine visits. Medical records were reviewed to abstract clinical and laboratory data. Mortality and cause of death were confirmed by local chart review as well as linkage to the Brazilian death certificate database. Key variables were compared between deceased and alive participants using Chi2 test for categorical variables and Mann-Whitney test for continuous variables. Stepwise logistic regression then a Cox regression multivariable model was performed to identify independent predictors for mortality within the adult participants. ResultsThere were 2,793 participants in the cohort (1,558, 55.8%, <18 years) and 159 (5.7%) were confirmed to be deceased by the end of follow up: 142 adults (>18 years) and 17 children. The median life expectancy was 65.7. Within adults, infection was the main identifiable cause of death (33.3%), followed by pulmonary causes (25.2%) and neurologic causes (14.5%). Five (3.1%) patients had an unknown cause of death. Independent predictors of mortality were age [Hazard Ratio (HR) 1.03; 95% CI 1.01-1.04; p<.01], iron overload (HR 1.68; 95% CI1.09-2.60; p<.02] and previous hospital admission (HR 1.68; 95% CI 1.10-2.56; p<.02). DiscussionMortality in Brazilian SCD individuals is shifting from children to adults, with increased rates of death in the third and fourth decades of life. Individuals with SCD are dying 10 years before the general population in Brazil. The main causes of death in our cohort were infections, acute chest syndrome and stroke, highlighting the need for prompt recognition and treatment of these complications. Screening and treatment for iron overload and closer monitoring and consideration of disease modifying therapies for patients with frequent hospital admissions are important as both were identified as independent predictors of mortality.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Inflammation and autoimmunity are interrelated in patients with sickle cell disease at a steady-state condition: implications for vaso-occlusive crisis, pain, and sensory sensitivity 92%
- Exposing Limitations of Clinical Laboratory Tests in COVID-19 and the Promise of Immunological Biomarkers 91%
- Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning 91%
Similar papers in this journal
- Sickle red blood cell derived extracellular vesicles activate endothelial cells and enhance sickle red cell adhesion mediated by von Willebrand factor 92%
- Exploring the role of Large Language Models (LLMs) in hematology: a systematic review of applications, benefits, and limitations 91%
- Delayed-Phase Thrombocytopenia in Patients of Coronavirus Disease 2019 (COVID-19) 89%
Similar papers in this journal
- Machine learning model predicts new-onset deep vein thrombosis of the lower extremities after pelvic floor fracture surgery and targeted diagnosis 89%
- Sixty-day mortality among 520 Italian hospitalized COVID-19 patients according to the adopted ventilatory strategy in the context of an integrated multidisciplinary clinical organization: a population-based cohort study 86%
- Is age the most important risk factor in COVID-19 patients? The relevance of comorbidity burden: A retrospective analysis of 10,090 hospitalizations 85%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.