How does lack of insurance affect use of intensive care? A population-based study*

2006 ◽  
Vol 34 (8) ◽  
pp. 2043-2048 ◽  
Author(s):  
Marion Danis ◽  
Walter T. Linde-Zwirble ◽  
Avraham Astor ◽  
Jeffrey R. Lidicker ◽  
Derek C. Angus
Keyword(s):  
Intensive Care ◽  
Population Based ◽  
Population Based Study

Admission of Term Infants to Neonatal Intensive Care: A Population-Based Study

Birth ◽  
2007 ◽  
Vol 34 (4) ◽  
pp. 301-307 ◽  
Author(s):  
Sally K. Tracy ◽  
Mark B. Tracy ◽  
Elizabeth Sullivan
Keyword(s):  
Intensive Care ◽  
Neonatal Intensive Care ◽  
Population Based ◽  
Term Infants ◽  
Population Based Study

A population-based study on epidemiology of intensive care unit treated traumatic brain injury in Iceland

2017 ◽  
Vol 61 (4) ◽  
pp. 408-417 ◽  
Author(s):  
G. M. Jonsdottir ◽  
S. H. Lund ◽  
B. Snorradottir ◽  
S. Karason ◽  
I. H. Olafsson ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Traumatic Brain Injury ◽  
Intensive Care ◽  
Brain Injury ◽  
Population Based ◽  
Population Based Study

Age Related Changes In Intensive Care Bed Utilization Over Time: A Population Based Study

2010 ◽  
Author(s):  
Kendiss Olafson ◽  
Clare D. Ramsey ◽  
Marina Yogendran ◽  
Jason Waechter ◽  
Randy Fransoo ◽  
...  
Keyword(s):  
Intensive Care ◽  
Population Based ◽  
Population Based Study ◽  
Age Related ◽  
Over Time ◽  
Age Related Changes

Severe sepsis and septic shock: a prospective population-based study in Icelandic intensive care units

2011 ◽  
Vol 55 (6) ◽  
pp. 722-731 ◽  
Author(s):  
E. VESTEINSDOTTIR ◽  
S. KARASON ◽  
S.E. SIGURDSSON ◽  
M. GOTTFREDSSON ◽  
G.H. SIGURDSSON
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Population Based ◽  
Population Based Study ◽  
Sepsis And Septic Shock

scholarly journals Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

2015 ◽  
Vol 3 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Romain Pirracchio ◽  
Maya L Petersen ◽  
Marco Carone ◽  
Matthieu Resche Rigon ◽  
Sylvie Chevret ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Population Based ◽  
Mortality Prediction ◽  
Population Based Study

scholarly journals COVID-19 in Cancer Patients, Risk Factors for Disease and Adverse Outcome, a Population-Based Study From Norway

2021 ◽  
Vol 11 ◽  
Author(s):  
Tom Børge Johannesen ◽  
Sigbjørn Smeland ◽  
Stein Aaserud ◽  
Eirik Alnes Buanes ◽  
Anna Skog ◽  
...  
Keyword(s):  
Intensive Care ◽  
Cancer Patients ◽  
Adverse Outcome ◽  
Population Based ◽  
Treatment Modalities ◽  
Major Surgery ◽  
Prescription Database ◽  
Population Based Study ◽  
The Past ◽  
Increased Risk

BackgroundCancer has been suggested as a risk factor for severe outcome of SARS-CoV-2 infection. In this population-based study we aimed to identify factors associated with higher risk of COVID-19 and adverse outcome.MethodsData on all confirmed SARS-CoV-2 positive patients in the period January 1 to May 31, 2020 were extracted from the Norwegian Surveillance System for Communicable Diseases. Data on cancer and treatment was available from the Cancer Registry of Norway, the Norwegian Patient Registry and the Norwegian Prescription Database. Deaths due to COVID-19 were extracted from the Cause of Death Registry. From the Norwegian Intensive Care and Pandemic Registry we retrieved data on admittance to hospital and intensive care. We determined rates of COVID-19 disease in cancer patients and the rest of the population. We also ran multivariate analyses adjusting for age and gender.ResultsA total of 8 410 patients were diagnosed with SARS-CoV-2 infection in Norway during the study period, of which 547 (6.5%) were cancer patients. Overall, we found similar age adjusted rates of COVID-19 in the population with cancer as in the population without cancer. Unadjusted analysis showed that patients having undergone major surgery within the past 3 months had an increased risk of COVID-19 while we did not find increased Odds Ratio (OR) related to other oncological treatment modalities. No patients treated with stem cell or bone marrow transplant were diagnosed with COVID-19. The fatality rate of COVID-19 among cancer patients was 0.10. This was similar to non-cancer patients, when adjusting for age and sex with OR (95% CI) for death= 0.99 (0.68–1.42). Patients with distant metastases had significantly increased OR of death due to COVID-19 disease of 9.31 (95% CI 2.60–33.34). For the combined outcome death and/or admittance to hospital due to COVID-19, we found significant two-fold increased risk estimates for patients diagnosed with cancer less than one 1 year ago (OR 2.08, 95% CI 1.14–3.80), for those treated with anti-cancer drugs during the past 3 months (OR 1.80, 95% CI 1.07–3.01) and for patients undergoing major surgery during the past 3 months (OR 2.19, 95% CI 1.40–3.44).

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