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2.
Eur J Cardiothorac Surg ; 59(5): 1096-1102, 2021 05 08.
Article in English | MEDLINE | ID: mdl-33394040

ABSTRACT

OBJECTIVES: To evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic on acute and elective thoracic and abdominal aortic procedures. METHODS: Forty departments shared their data on acute and elective thoracic and abdominal aortic procedures between January and May 2020 and January and May 2019 in Europe, Asia and the USA. Admission rates as well as delay from onset of symptoms to referral were compared. RESULTS: No differences in the number of acute thoracic and abdominal aortic procedures were observed between 2020 and the reference period in 2019 [incidence rates ratio (IRR): 0.96, confidence interval (CI) 0.89-1.04; P = 0.39]. Also, no difference in the time interval from acute onset of symptoms to referral was recorded (<12 h 32% vs > 12 h 68% in 2020, < 12 h 34% vs > 12 h 66% in 2019 P = 0.29). Conversely, a decline of 35% in elective procedures was seen (IRR: 0.81, CI 0.76-0.87; P < 0.001) with substantial differences between countries and the most pronounced decline in Italy (-40%, P < 0.001). Interestingly, in Switzerland, an increase in the number of elective cases was observed (+35%, P = 0.02). CONCLUSIONS: There was no change in the number of acute thoracic and abdominal aortic cases and procedures during the initial wave of the COVID-19 pandemic, whereas the case load of elective operations and procedures decreased significantly. Patients with acute aortic syndromes presented despite COVID-19 and were managed according to current guidelines. Further analysis is required to prove that deferral of elective cases had no impact on premature mortality.


Subject(s)
COVID-19 , Pandemics , Asia , Elective Surgical Procedures , Europe , Humans , Italy , SARS-CoV-2 , Switzerland
4.
Cancer Epidemiol Biomarkers Prev ; 28(4): 724-730, 2019 04.
Article in English | MEDLINE | ID: mdl-30642838

ABSTRACT

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition with respect to onset, progression, and response to therapy. Incorporating clinical- and imaging-based features to refine COPD phenotypes provides valuable information beyond that obtained from traditional clinical evaluations. We characterized the spectrum of COPD-related phenotypes in a sample of former and current smokers and evaluated how these subgroups differ with respect to sociodemographic characteristics, COPD-related comorbidities, and subsequent risk of lung cancer. METHODS: White (N = 659) and African American (N = 520) male and female participants without lung cancer (controls) in the INHALE study who completed a chest CT scan, interview, and spirometry test were used to define distinct COPD-related subgroups based on hierarchical clustering. Seven variables were used to define clusters: pack years, quit years, FEV1/FVC, % predicted FEV1, and from quantitative CT (qCT) imaging, % emphysema, % air trapping, and mean lung density ratio. Cluster definitions were then applied to INHALE lung cancer cases (N = 576) to evaluate lung cancer risk. RESULTS: Five clusters were identified that differed significantly with respect to sociodemographic (e.g., race, age) and clinical (e.g., BMI, limitations due to breathing difficulties) characteristics. Increased risk of lung cancer was associated with increasingly detrimental lung function clusters (when ordered from most detrimental to least detrimental). CONCLUSIONS: Measures of lung function vary considerably among smokers and are not fully explained by smoking intensity. IMPACT: Combining clinical (spirometry) and radiologic (qCT) measures of COPD defines a spectrum of lung disease that predicts lung cancer risk differentially among patient clusters.


Subject(s)
Diagnostic Imaging/methods , Lung Neoplasms/complications , Lung Neoplasms/diagnostic imaging , Pulmonary Disease, Chronic Obstructive/diagnostic imaging , Smoking/adverse effects , Female , Humans , Male , Middle Aged , Pulmonary Disease, Chronic Obstructive/epidemiology , Risk Factors
5.
PLoS One ; 4(10): e7443, 2009 Oct 13.
Article in English | MEDLINE | ID: mdl-19823589

ABSTRACT

Cancers are driven by a population of cells with the stem cell properties of self-renewal and unlimited growth. As a subpopulation within the tumor mass, these cells are believed to constitute a tumor cell reservoir. Pathways controlling the renewal of normal stem cells are deregulated in cancer. The polycomb group gene Bmi1, which is required for neural stem cell self-renewal and also controls anti-oxidant defense in neurons, is upregulated in several cancers, including medulloblastoma. We have found that Bmi1 is consistently and highly expressed in GBM. Downregulation of Bmi1 by shRNAs induced a differentiation phenotype and reduced expression of the stem cell markers Sox2 and Nestin. Interestingly, expression of glycogen synthase kinase 3 beta (GSK3beta), which was found to be consistently expressed in primary GBM, also declined. This suggests a functional link between Bmi1 and GSK3beta. Interference with GSK3beta activity by siRNA, the specific inhibitor SB216763, or lithium chloride (LiCl) induced tumor cell differentiation. In addition, tumor cell apoptosis was enhanced, the formation of neurospheres was impaired, and clonogenicity reduced in a dose-dependent manner. GBM cell lines consist mainly of CD133-negative (CD133-) cells. Interestingly, ex vivo cells from primary tumor biopsies allowed the identification of a CD133- subpopulation of cells that express stem cell markers and are depleted by inactivation of GSK3beta. Drugs that inhibit GSK3, including the psychiatric drug LiCl, may deplete the GBM stem cell reservoir independently of CD133 status.


Subject(s)
Brain Neoplasms/metabolism , Gene Expression Regulation, Neoplastic , Glioblastoma/metabolism , Glycogen Synthase Kinase 3/metabolism , AC133 Antigen , Antigens, CD/biosynthesis , Apoptosis , Cell Differentiation , Cell Proliferation , Cell Separation , Flow Cytometry/methods , Glycogen Synthase Kinase 3 beta , Glycoproteins/biosynthesis , Humans , Nuclear Proteins/metabolism , Oligonucleotide Array Sequence Analysis , Peptides , Phenotype , Polycomb Repressive Complex 1 , Proto-Oncogene Proteins/metabolism , RNA, Small Interfering/metabolism , Repressor Proteins/metabolism
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