Risk factors and development of a predictive score model for tumor lysis syndrome in childhood leukemia: a 10-year experience from a single tertiary hospital in Thailand.

Tumor lysis syndrome (TLS) in childhood leukemia was assessed retrospectively in 252 patients in a single tertiary center in Thailand during 2009-2019. Fifty-one (20.2%) developed TLS during their induction chemotherapy; 60.7% (31/51) were spontaneous TLS and 47% (24/51) developed clinical TLS. The predictive score model consisted of white blood cell (WBC) count more than 50,000 cells/mm3, glomerular filtration rate less than 90, and aspartate transaminase more than 44 units/L. The TLS development rates were 11.1%, 46.2%, and 78.5% in the low, intermediate, and high-risk groups, respectively. Death during the first induction phase in patients with TLS was significantly higher than in the patients without TLS. However, the 5-year overall survival rates for the children with and without TLS were not significantly different.

Long-term survival outcome of childhood acute myeloid leukemia: a 43-year experience in Thailand, a resource-limited country.

Although there have been advances in treating pediatric patients with acute myeloid leukemia (AML) in developed countries, outcomes in low- to middle-income countries remain poor. The goal of this study was to investigate the outcomes in children with AML who were treated at a tertiary care center in Thailand. We divided the study into 4 research periods based on the chemotherapy protocols employed. The 5-year probabilities of event-free survival (pEFS) rates for periods 1-4 were 19.0%, 20.6%, 17.4%, and 37.3% (p value = 0.32), while the 5-year probabilities of overall survival (pOS) rates were 19.0%, 24.7%, 18.7%, and 42.5% (p value = 0.18), respectively. The multivariable model indicated an improvement in 5-year pOS between periods 1 and 4 (p value = 0.04). Age, white blood cell count, and study period were significant predictors of survival outcomes. The pOS of AML patients improved over time, increasing from 19.0% to 42.5%.

Comparative analysis of symptom profile and risk of death associated with infection by SARS-CoV-2 and its variants in Hong Kong.

The recurrent multiwave nature of coronavirus disease 2019 (COVID-19) necessitates updating its symptomatology. We characterize the effect of variants on symptom presentation, identify the symptoms predictive and protective of death, and quantify the effect of vaccination on symptom development. With the COVID-19 cases reported up to August 25, 2022 in Hong Kong, an iterative multitier text-matching algorithm was developed to identify symptoms from free text. Multivariate regression was used to measure associations between variants, symptom development, death, and vaccination status. A least absolute shrinkage and selection operator technique was used to identify a parsimonious set of symptoms jointly associated with death. Overall, 70.9% (54 450/76 762) of cases were symptomatic with 102 symptoms identified. Intrinsically, the wild-type and delta variant caused similar symptoms among unvaccinated symptomatic cases, whereas the wild-type and omicron BA.2 subvariant had heterogeneous patterns, with seven symptoms (fatigue, fever, chest pain, runny nose, sputum production, nausea/vomiting, and sore throat) more frequent in the BA.2 cohort. With ≥2 vaccine doses, BA.2 was more likely than delta to cause fever among symptomatic cases. Fever, blocked nose, pneumonia, and shortness of breath remained jointly predictive of death among unvaccinated symptomatic elderly in the wild-type-to-omicron transition. Number of vaccine doses required for reducing occurrence varied by symptoms. We substantiate that omicron has a different clinical presentation compared to previous variants. Syndromic surveillance can be bettered with reduced reliance on symptom-based case identification, increased weighing on symptoms predictive of death in outcome prediction, individual-based risk assessment in care homes, and incorporating free-text symptom reporting.