| 1. |
- de Geer, Lina, 1974-, et al.
(författare)
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No association with cardiac death after sepsis : A nationwide observational cohort study
- 2019
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Ingår i: Acta Anaesthesiologica Scandinavica. - : Wiley-Blackwell Publishing Inc.. - 0001-5172 .- 1399-6576. ; 63:3, s. 344-351
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Cardiac dysfunction is a well-known complication of sepsis, but its long-term consequences and implications for patients remain unclear. The aim of this study was to investigate cardiac outcome in sepsis by assessing causes of death up to 2 years after treatment in an Intensive Care Unit (ICU) in a nationwide register-based cohort collected from the Swedish Intensive Care Registry.METHODS: A cohort of 13 669 sepsis and septic shock ICU patients from 2008 to 2014 was collected together with a non-septic control group, matched regarding age, sex and severity of illness (n = 6582), and all without preceding severe cardiac disease. For a large proportion of the severe sepsis and septic shock patients (n = 7087), no matches were found. Information on causes of death up to 2 years after ICU admission was sought in the Swedish National Board of Health and Welfare's Cause of Death Registry.RESULTS: Intensive Care Unit mortality was nearly identical in a matched comparison of sepsis patients to controls (24% in both groups) but higher in more severely ill sepsis patients for whom no matches were found (33% vs 24%, P < 0.001). There was no association of sepsis to cardiac deaths in the first month (OR 1.03, 95%CI 0.87 to 1.20, P = 0.76) nor up to 2 years after ICU admission (OR 1.01, 95%CI 0.82 to 1.25, P = 0.94) in an adjusted between-group comparison.CONCLUSIONS: There was no association with an increased risk of death related to cardiac disease in patients with severe sepsis or septic shock when compared to other ICU patients with similar severity of illness.
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| 2. |
- Engerström, Lars
(författare)
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The significance of risk adjustment for the assessment of results in intensive care. : An analysis of risk adjustment models used in Swedish intensive care.
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- To study the development of mortality in intensive care over time or compare different departments, you need some kind of risk adjustment to make analysis meaningful since patient survival varies with severity of the disease. With the aid of a risk adjustment model, expected mortality can be calculated. The actual mortality rate observed can then be compared to the expected mortality rate, giving a risk-adjusted mortality.In-hospital mortality is commonly used when calculating riskadjusted mortality following intensive care, but in-hospital mortality is affected by the duration of care and transfer between units. Time-fixed measurements such as 30-day mortality are less affected by this and are a more objective measure, but the intensive care models that are available are not adapted for this measure. Furthermore, how length of follow-up affects risk adjusted mortality has not been studied. The degree and pattern of loss of physiological data that exists and how this affects performance of the model has not been properly studied. General intensive care models perform poorly for cardiothoracic intensive care where admission is often planned, where cardiovascular physiology is more affected by extra corporeal circulation and where the reasons for admission are usually not the same.The model used in Sweden for adult general intensive care patients is the Simplified Acute Physiology Score 3 (SAPS3). SAPS3 recalibrations were made for in-hospital mortality and 30-, 90- and 180-day mortality. Missing data were simulated, and the resulting performance compared to performance in datasets with originally missing data.We conclude that SAPS3 works equally well using 30-day mortality as in-hospital mortality.The performance with both 90- and 180-day mortality as outcome was also good. It was found that the model was stable when validated in other patients than it was recalibrated with.We conclude that the amount of data missing in the SIR has a limited effect on model performance, probably because of active data selection based on the patient's status and reason for admission.A model for cardiothoracic intensive care based on variables available on arrival at Swedish cardiothoracic intensive care units was developed and found to perform well.
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| 3. |
- Larsen, Robert, 1980-
(författare)
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Risk-Adjustment for Swedish In-Hospital Trauma Mortality using International Classification of disease Injury Severity Score (ICISS) : issues with description and methods
- 2019
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- IntroductionDifferent methods have been used to describe the epidemiology of trauma with varying results. Crude mortality outcome data differ significantly from risk-adjusted information. A previous standard method for risk-adjustment in trauma was the Injury Severity Score (ISS), although it has several shortcomings. In this thesis I examine Swedish injury statistics from an epidemiological perspective using crude and risk-adjusted mortality, and to adjust for injury I used the International Classification of disease Injury Severity Score (ICISS). The groups of most lethal injuries (fall, traffic, and assault) were examined separately using an ICISS mortality prediction model that focused particularly on the effects on the prediction of mortality by adding coexisting conditions (comorbidity) to it. Differences in mortality between the sexes and changes over time were tested separately.Material and MethodsData from all patients with ICD-10 based diagnoses of injury (ICD-10: V01 to Y36) in the Swedish National Patient Registry and Cause of Death Registry were collected from 1999 to 2012 and used for assessment of mortality and comorbidity. A subgroup (patients in hospital) from 2001-2011 were selected as the study group. Their injuries were in the subgroups of falls, traffic, and assaults, and are the focus of this thesis. Mortality within 30 days of injury was used as the endpoint. The severity of injury was adjusted for using the ICISS, which was first described by Osler et al. The model was also adjusted for age, sex, and comorbidities.ResultsThe study group comprised 815 846 patients (of whom 17 721 died). There was a decrease over time in injuries caused by falls and traffic (coefficient -4.71, p=0.047 and coefficient -5.37, p<0.001), whereas there was no change in assault-related injuries/100 000 inhabitants. The risk-adjusted 30-day mortality showed a decrease in injuries related to traffic and assault (OR 0.95, p<0.001 and OR 0.93, p=0.022) whereas for falls it remained unchanged. There was also a risk-adjusted survival benefit for women, which increased with increasing age. Adjusting for comorbidities made the prediction of 30-day mortality by the ICISS model better (accuracy, calibration, and discrimination). However, most of this effect was found to be the result of the other characteristics of the fall related injury group (they were older, and had more coexisting conditions).ConclusionDuring a 10-year period, there has been a significant overall decrease in crude as well as risk-adjusted mortality for these three injury groups combined. Within these groups there is a clear, risk-adjusted, female survival advantage. The ICISS model for the prediction of mortality improves when comorbidities are added, but this effect is minor and seen mainly among the injuries caused by falls, where comorbidity is significant. The ICISS method was a valuable adjunct in the investigation of data on Swedish mortality after injury that has been gathered from health care registry data.
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| 4. |
- Walther, Sten, 1954-, et al.
(författare)
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Influence of income and education on outcomes of intensive care in a healthcare system with full universal health insurance - a nationwide analysis of individual-level data
- 2019
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Ingår i: Intensive Care Medicine Experimental. - Santarem, Portugal : Escola Superior de Educacao de Santarem. - 2197-425X. ; 7:Supplement 3
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- INTRODUCTION. Most patients admitted to intensive care are discharged to a general ward in the same hospital, but some patients require transfer to another hospital. Indications for interhospital transfers (IHT) include referral for specialist treatment, lack of intensive care beds at the referring ICU and repatriation to ICU in home hospital [1].OBJECTIVES. To review mortality of ICU-patients undergoing IHT and analyse whether different indications for transfer render different mortalities.METHODS. Retrospective cohort register study using the Swedish Intensive Care Registry (SIR) during 2016-2018. The SIR collects data from 98.8% of Swedish ICUs including data on discharge from ICUs to other hospitals/ICUs. Transfers were divided into three categories: transfer due to medical reasons, lack of ICU beds or repatriation to ICU in home hospital. We analysed odds ratios (ORs) for dying within 30 days after discharge from ICU using risk adjusted (SAPS3 score) multi-level mixed effect logistic regression with ICUs as random effect.RESULTS. We identified 12,356 patients who were discharged to another ICU and hospital, i.e. inter-hospital transfers. The unadjusted mortality 30 days after IHT was 17.2 % compared to 12.4 % if discharged to ward in the same hospital. Mortality after IHT varied with the cause of discharge (Figure).Main diagnoses for transfer due to specialist treatment were subarachnoid haemorrhage, head injury and multi-trauma whilst for lack of ICU beds post cardiac arrest, respiratory failure and pneumonia dominated. Risk adjusted analysis showed a significantly increased risk of dying after discharge due to lack of ICU-beds in comparison with other reasons for IHTsCONCLUSION. The adjusted risk of dying within 30 days after interhospital transfer was greater among critically ill patients when the transfer was due to lack of beds in the referring ICU. The increased mortality lingered for at least 6 months underlining the importance to identify causes and intervene to avoid unnecessary loss of life.
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