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Hospital volume and hospital mortality for esophagectomy [PDF]

open access: bronzeCancer, 2001
Hospital mortality after esophagectomy has decreased from 29% to 7.5% over the last decades because of improved surgical techniques and better perioperative care. Suggestions have been made that a further decrease in hospital mortality may be achieved by centralization of esophagectomies in high volume centers.The effect of hospital volume on hospital ...
J. Jan B. van Lanschot   +5 more
openalex   +6 more sources

Child suicide rates during the COVID-19 pandemic in England

open access: yesJournal of Affective Disorders Reports, 2021
Background: There is concern about the impact of COVID-19, and the control measures to prevent the spread, on children's mental health. The aim of this work was to identify if there had been a rise of childhood suicide during the COVID pandemic.
David Odd   +4 more
doaj   +1 more source

Hospital-Acquired Dysmagnesemia and In-Hospital Mortality [PDF]

open access: yesMedical Sciences, 2020
Background and Objectives: This study aimed to report the incidence of hospital-acquired dysmagnesemia and its association with in-hospital mortality in adult general hospitalized patients. Materials and Methods: We studied 26,020 adult hospitalized patients from 2009 to 2013 who had normal admission serum magnesium levels and at least two serum ...
Saraschandra Vallabhajosyula   +11 more
openaire   +4 more sources

Hospital admissions and mortality for acute exacerbations of COPD during the COVID-19 pandemic: A nationwide study in France

open access: yesFrontiers in Medicine, 2022
BackgroundA global reduction in hospital admissions for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) was observed during the first months of the COVID-19 pandemic.
Jonas Poucineau   +10 more
doaj   +1 more source

The Impact of Metabolic Syndrome on Clinical Outcome of COVID-19 Patients: A Retrospective Study [PDF]

open access: yesInternational Journal of Scientific Research in Dental and Medical Sciences, 2021
Background and aim: The COVID-19 disease has a very high infectivity rate, and the spectrum of the disease symptoms varies from asymptomatic to severe cases of respiratory failure.
Aparjot Singh   +3 more
doaj   +1 more source

Hospitalizations and mortality during the first year of the COVID-19 pandemic in Hong Kong, China: An observational studyResearch in context

open access: yesThe Lancet Regional Health. Western Pacific, 2023
Summary: Background: Hong Kong followed a strict COVID-19 elimination strategy in 2020. We estimated the impact of the COVID-19 pandemic responses on all-cause and cause-specific hospitalizations and deaths in 2020.
Hualei Xin   +7 more
doaj   +1 more source

Community-acquired pneumonia: Epidemiology, diagnosis, prognostic severity scales, and new therapeutic options

open access: yesMedwave, 2023
This narrative review article explores the current scientific knowledge on the definition, epidemiology, diagnostic criteria, microbiology, treatment, and prevention of severe community-acquired pneumonia (SCAP) in immunocompetent adults.
Paulo Guilherme Oliveira e Silva   +5 more
doaj   +1 more source

A retrospective review of the contribution of rare diseases to paediatric mortality in Ireland

open access: yesOrphanet Journal of Rare Diseases, 2020
Aims To ascertain the number of paediatric deaths (0–14 years) with an underlying rare disease in the Republic of Ireland between the years 2006–2016, and to analyse bed usage by a paediatric cohort of rare disease inpatients prior to in-hospital death ...
Emer Gunne   +5 more
doaj   +1 more source

Machine Learning Approach to Predict In‐Hospital Mortality in Patients Admitted for Peripheral Artery Disease in the United States

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022
Background Peripheral artery disease (PAD) affects >10 million people in the United States. PAD is associated with poor outcomes, including premature death. Machine learning (ML) has been increasingly used on big data to predict clinical outcomes.
Donglan Zhang   +6 more
doaj   +1 more source

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