Survival after blood transfusion

Kamper-Jørgensen, Mads; Ahlgren, Martin; Rostgaard, Klaus; Melbye, Mads; Edgren, Gustaf; Nyrén, Olof; Reilly, Marie; Norda, Rut; Titlestad, Kjell; Tynell, Elsa; Hjalgrim, Henrik

doi:10.1111/j.1537-2995.2008.01881.x

Cited by 75 publications

(78 citation statements)

References 21 publications

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“…We speculate that this might be due to indication bias where very frail elderly patients would not receive aggressive treatment, resulting in a better survival than in an equally old background population. As in a previous study of the transfused population in Sweden and Denmark (22), we observed both a higher short-and long-term mortality in Denmark compared with Sweden. We lack an exhaustive explanation for this difference, but note that a higher mortality in Denmark than in Sweden is a general phenomenon, not limited only to massively transfused patients, and it is generally ascribed to a higher level of tobacco smoking and alcohol consumption in Denmark (23).…”

Section: Discussionsupporting

confidence: 63%

Epidemiology of Massive Transfusion

Halmin

Chiesa

Vasan

et al. 2016

Critical Care Medicine

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This large-scale study based on nationwide data from Sweden and Denmark describes the complete range of massive transfusion. We report a nonnegligible incidence and both a high absolute mortality and high standardized mortality ratio. The general pattern was similar for Sweden and Denmark, and we believe that similar patterns may be found in other high-resource countries. The study provides a relevant background for clinicians and researchers for designing future studies in this field.

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Section: Discussionsupporting

confidence: 63%

Epidemiology of Massive Transfusion

Halmin

Chiesa

Vasan

et al. 2016

Critical Care Medicine

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“…A study from Denmark and Sweden examined 1 118 261 transfusion recipients and found the SMR to be 17.6 in the first 3 months, 2.1 one to four years and 1.3 seventeen years after their first transfusion (47). This study did not separate HCV-infected individuals, but showed a higher mortality rate in blood recipients.…”

Section: Mortalitymentioning

confidence: 84%

Applying a system approach to forecast the total hepatitis C virus‐infected population size: model validation using US data

Kershenobich

Razavi

Cooper

et al. 2011

Liver International

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Background: Hepatitis C virus (HCV) infection is associated with chronic progressive liver disease. Its global epidemiology is still not well ascertained and its impact will be confronted with a higher burden in the next decade. Aim: The goal of this study was to develop a tool that can be used to predict the future prevalence of the disease in different countries and, more importantly, to understand the cause and effect relationship between the key assumptions and future trends. Methods: A system approach was used to build a simulation model where each population was modeled with the appropriate inflows and outflows. Sensitivity analysis was used to identify the key drivers of future prevalence. Results: The total HCV-infected population in the US was estimated to decline 24% from 3.15 million in 2005 to 2.47 million in 2021, while disease burden will increase as the remaining infected population ages. During the same period, the mortality rate was forecasted to increase from 2.1 to 3.1%. The diagnosed population was 50% of the total infections, while less than 2% of the total infections were treated. Conclusion: We have created a framework to evaluate the HCV-infected populations in countries around the world. This model may help assess the impact of policies to meet the challenges predicted by the evolution of HCV infection and disease. This prediction tool may help to target new public health strategies.

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“…However, such data are not readily available and it is often challenging and very costly to collect such data (Jones and Swerdlow, 1998). Thus, we opted for the use of the general population as the standard as is commonly done in epidemiological and demographic studies, including in industrialized countries (Breslow and Day, 1987a;Jones and Swerdlow, 1998;Ackers et al , 2011;Crook et al, 2003;Datiko and Lindtjorn, 2010;Jones et al, 2011;Kamper-Jorgensen et al, 2008;Reulen et al, 2010;Secrest et al, 2010;Symmons et al, 1998;Trombert-Paviot et al, 2008;Wilson et al, 2010;Brinkhof et al, 2009). …”

Section: Choice Of the Standard Populationmentioning

confidence: 99%

Long term mortality after community and facility based treatment of severe acute malnutrition: Analysis of data from Bangladesh, Kenya, Malawi and Niger

Bahwere¹

2012

J. Public Health Epidemiol.

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The effectiveness of the community based therapeutic care (CTC) in treating severe acute malnutrition (SAM) has been demonstrated. However, there is still resistance from some policy makers and donors to invest into this cost-effective intervention. The mortality rate ratio (MRR) calculated by dividing the observed deaths after discharge by expected deaths was used to compare survival of 1,670 children discharged from the Dowa CTC from August 2002 to May 2005 and that of other cohorts reporting on long term survival of children after treatment of SAM retrieved from literature. A MMR of 1.1 (0.9 to 1.4) was observed for the Dowa CTC cohort while the MMR of 2.7 (1.3 to 4.9), 5.5 (3.9 to 7.6) and 20.0 (11.0 to 33.4) were observed for studies retrieved from the literature. Data showed that the survival of children who defaulted was worse than that of those who were discharged cured, and that of children treated at home after stabilisation or directly was better than those treated as inpatient until exit from the programme. The study outlines the need of using MMR when reporting on long term survival after SAM treatment and suggests that CTC should be included in the package of interventions with high potential for accelerating the progress towards reaching Millennium Developmental Goal four.

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Survival after blood transfusion

Cited by 75 publications

References 21 publications

Epidemiology of Massive Transfusion

Epidemiology of Massive Transfusion

Applying a system approach to forecast the total hepatitis C virus‐infected population size: model validation using US data

Long term mortality after community and facility based treatment of severe acute malnutrition: Analysis of data from Bangladesh, Kenya, Malawi and Niger

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