Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO/FiO ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.
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http://dx.doi.org/10.1038/s41598-020-77698-4 | DOI Listing |
Front Cardiovasc Med
December 2024
Department of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, Ethiopia.
Background: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart failure treatment outcomes in Ethiopia.
View Article and Find Full Text PDFFront Pediatr
December 2024
Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Premature births has imposed substantial burdens on medical resources. Consequently, a specialized team was established and a model focused on early intervention, namely the Delivery Room Intensive Care Unit (DICU) emphasizing "care, support, and treatment" was introduced and its impact on the morbidity and mortality outcomes of newborns was assessed. Additionally, we aimed to develop a nomogram model for predicting the risk of intraventricular hemorrhage (IVH) in preterm infants.
View Article and Find Full Text PDFNeurocrit Care
January 2025
Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Background: Socioeconomic status affects outcomes in cerebrovascular disease, although its role in the withdrawal of life-sustaining treatments (WLST) remains uncertain. We aim to examine the impact of socioeconomic factors on outcomes including WLST in aneurysmal subarachnoid hemorrhage (aSAH).
Methods: We conducted a retrospective study of a cohort of consecutive patients with aSAH who were admitted to an academic center from 2016 to 2023.
J Bras Nefrol
January 2025
Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil.
Introduction: Pediatric patients with chronic kidney disease (CKD) develop mineral and bone disorders (MBD). We do not have Brazilian data that evaluate these outcomes, which can be obtained through epidemiological records.
Objective: To present the DOMINÓ study, which aims to describe CKD-MBD characteristics in Brazilian pediatric patients.
Head Neck Pathol
January 2025
Department of Oral Pathology, School of Dentistry, University of São Paulo, São Paulo, Brazil.
Purpose: Oral squamous cell carcinoma (OSCC) is a significant public health challenge associated with high mortality rates primarily due to its invasive and metastatic behavior. This study aimed to evaluate the expression patterns of five critical biomarkers: β-catenin, E-cadherin, podoplanin (PDPN), CXCR4, and p53 in OSCC tissues and to investigate their correlations with clinicopathologic features and patient outcomes.
Methods: We conducted an immunohistochemical analysis utilizing tissue microarrays (TMAs) from 95 patients diagnosed with primary OSCC.
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