| 1. |
- de Lange, Dylan W., et al.
(författare)
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The association of premorbid conditions with 6-month mortality in acutely admitted ICU patients over 80 years
- 2024
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Ingår i: Annals of Intensive Care. - : SPRINGER. - 2110-5820. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Background Premorbid conditions influence the outcome of acutely ill adult patients aged 80 years and over who are admitted to the ICU. The aim of this study was to determine the influence of such premorbid conditions on 6 month survival. Methods Prospective cohort study in 242 ICUs from 22 countries including patients 80 years or above, admitted over a 6 months period to an ICU between May 2018 and May 2019. Only emergency (acute) ICU admissions in adult patients >= 80 years of age were eligible. Patients who were admitted after planned/elective surgery were excluded. We measured the Clinical Frailty Scale (CFS), the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), disability with the Katz activities of daily living (ADL) score, comorbidities and a Polypharmacy Score (CPS). Results Overall, the VIP2 study included 3920 patients. During ICU stay 1191 patients died (30.9%), and another 436 patients (11.1%) died after ICU discharge but within the first 30 days of admission, and an additional 895 patients died hereafter but within the first 6 months after admission (22.8%). The 6 months mortality was 64%. The median CFS was 4 (IQR 3-6). Frailty (CFS >= 5) was present in 26.6%. Cognitive decline (IQCODE above 3.5) was found in 30.2%. The median IQCODE was 3.19. A Katz ADL of 4 or less was present in 27.7%. Patients who surviving > 6 months were slightly younger (median age survivors 84 with IQR 81-86) than patients dying within the first 6 months (median age 84, IQR 82-87, p = 0.013), were less frequently frail (CFS > 5 in 19% versus 34%, p < 0.01) and were less dependent based on their Katz activities of daily living measurement (median Katz score 6, IQR 5-6 versus 6 points, IQR 3-6, p < 0.01). Conclusions We found that Clinical Frailty Scale, age, and SOFA at admission were independent prognostic factors for 6 month mortality after ICU admission in patients age 80 and above. Adding other geriatric syndromes and scores did not improve the model. This information can be used in shared-decision making. ClinicalTrials.gov: NCT03370692. Conclusions We found that Clinical Frailty Scale, age, and SOFA at admission were independent prognostic factors for 6 month mortality after ICU admission in patients age 80 and above. Adding other geriatric syndromes and scores did not improve the model. This information can be used in shared-decision making.
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| 4. |
- 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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| 5. |
- 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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| 7. |
- Flaatten, Hans, et al.
(författare)
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Reliability of the Clinical Frailty Scale in very elderly ICU patients : a prospective European study
- 2021
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Ingår i: Annals of Intensive Care. - : Springer. - 2110-5820. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Purpose Frailty is a valuable predictor for outcome in elderly ICU patients, and has been suggested to be used in various decision-making processes prior to and during an ICU admission. There are many instruments developed to assess frailty, but few of them can be used in emergency situations. In this setting the clinical frailty scale (CFS) is frequently used. The present study is a sub-study within a larger outcome study of elderly ICU patients in Europe (the VIP-2 study) in order to document the reliability of the CFS. Materials and methods From the VIP-2 study, 129 ICUs in 20 countries participated in this sub-study. The patients were acute admissions >= 80 years of age and frailty was assessed at admission by two independent observers using the CFS. Information was obtained from the patient, if not feasible, from the family/caregivers or from hospital files. The profession of the rater and source of data were recorded along with the score. Interrater variability was calculated using linear weighted kappa analysis. Results 1923 pairs of assessors were included and background data of patients were similar to the whole cohort (n = 3920). We found a very high inter-rater agreement (weighted kappa 0.86), also in subgroup analyses. The agreement when comparing information from family or hospital records was better than using only direct patient information, and pairs of raters from same profession performed better than from different professions. Conclusions Overall, we documented a high reliability using CFS in this setting. This frailty score could be used more frequently in elderly ICU patients in order to create a more holistic and realistic impression of the patient s condition prior to ICU admission.
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| 8. |
- Guidet, Bertrand, et al.
(författare)
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The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs : the VIP2 study
- 2020
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Ingår i: Intensive Care Medicine. - : Springer-Verlag New York. - 0342-4642 .- 1432-1238. ; 46:1, s. 57-69
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE: Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival.METHODS: Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients' characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike's information criterion across imputations was used to evaluate the goodness of fit of our models.RESULTS: We included 3920 patients with a median age of 84 years (IQR: 81-87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83-8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3-6); IQCODE: 3.19 (3-3.69); ADL: 6 (4-6); Comorbidity and Polypharmacy score (CPS): 10 (7-14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.-1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14-1.17, p < 0.0001) and CFS (per point): 1.1 (1.05-1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model.CONCLUSION: We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.
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| 9. |
- 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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| 10. |
- Mårtensson, Johan, et al.
(författare)
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COVID-19 critical illness in Sweden : characteristics and outcomes at a national population level
- 2020
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Ingår i: Critical Care and Resuscitation. - Strawberry Hills, NSW, Australia : AUSTRALASIAN MED PUBL CO LTD. - 1441-2772. ; 22:4, s. 312-320
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Tidskriftsartikel (refereegranskat)abstract
- Objective: During the coronavirus disease 2019 (COVID-19) pandemic, baseline demographics and comorbidities of patients with COVID-19 have been presented, but there are limited data on outcomes of severely ill patients. We aimed to examine the association between patient characteristics and 30-day mortality among patients with COVID-19 treated in the intensive care unit (ICU).Design: Population-based cohort study.Setting: ICUs in Sweden.Participants: All consecutive patients with COVID-19 admitted to Swedish ICUs from 6 March to 5 April 2020.Main outcome measures: The primary outcome was 30-day mortality after ICU admission. Patient demographics, comorbidities and clinical characteristics were also retrieved.Results: A total of 604 patients were included. The median age was 61 years (interquartile range [IQR], 52-70 years) and 458 patients (76%) were males. The most common comorbidities were hypertension (35.9%) and diabetes (25.7%), whereas 36.4% of patients had no comorbidities. Median Simplified Acute Physiology Score (SAPS) 3 was 53 (IQR, 46-60). Of 573 patients with available respiratory support data, 487 (85.0%) received invasive mechanical ventilation. Among 518 patients with available data, 117 (22.6%) received renal replacement therapy. Median length of stay was 13 days (IQR, 6-20 days). Mortality at 30 days was 32.6%. In the multivariable Cox regression model, age (hazard ratio [HR] 1.06; 95% CI, 1.04-1.07 per year), the presence of one or more comorbidities (HR, 1.80; 95% CI, 1.20-2.68), chronic obstructive pulmonary disease or asthma (HR, 1.68; 95% CI, 1.12-2.50), hypertension (HR, 1.41; 95% CI, 1.01-1.99), and acute illness severity (SAPS 3 excluding age and comorbidity) (HR, 1.06; 95% CI, 1.04-1.09) were associated with 30-day mortality.Conclusions: This population-based cohort study presents 30-day mortality of 604 ICU patients with COVID-19. The higher mortality was explained by older age, the presence chronic illness, and acute illness severity.
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