Use of drugs for hypertension or heart failure and the risk of death in COVID-19: association with loop-diuretics.

PURPOSE: To study the association between the use of drugs for hypertension or heart failure, particularly diuretics, and risk of death in COVID-19. METHODS: We conducted a cohort study, based on record linked individual-based data from national registers, of all Swedish inhabitants 50 years and older (n = 3,909,321) at the start of the first SARS-CoV-2 wave in Sweden. The association between use of angiotensin-converting enzyme inhibitors (ACEI), angiotensin II receptor blockers (ARB), thiazides, loop diuretics, aldosterone antagonists, beta blocking agents and calcium channel blockers at the index date 6 March 2020, and death in COVID-19 during 7 March to 31 July 2020, was analysed using Cox-proportional hazards regression, adjusted for a wide range of possible confounders. RESULTS: Use of loop diuretics was associated with higher risk [adjusted hazard ratio (HR) 1.26; 95% confidence interval (95% CI) 1.17-1.35] and thiazides with reduced risk (0.78; 0.69-0.88) of death in COVID-19. In addition, lower risk was observed for ACEI and higher risk for beta-blocking agents, although both associations were weak. For ARB, aldosterone antagonists and calcium channel blockers no significant associations were found. CONCLUSION: In this nationwide cohort of nearly 4 million persons 50 years and older, the use of loop diuretics was associated with increased risk of death in COVID-19 during the first SARS-CoV-2 wave in Sweden. This contrasted to the decreased risk observed for thiazides. As treatment with loop diuretics is common, particularly in the elderly, the group most affected by severe COVID-19, this finding merit further investigation.

Prognosis after Intensive Care for COPD Exacerbation in Relation to Long-Term Oxygen Therapy: A Nationwide Cohort Study.

Decisions to admit or refuse admission to intensive care for acute exacerbations of COPD (AECOPD) can be difficult, due to an uncertainty about prognosis. Few studies have evaluated outcomes after intensive care for AECOPD in patients with chronic respiratory failure requiring long-term oxygen therapy (LTOT). In this nationwide observational cohort study, we investigated survival after first-time admission for AECOPD in all patients aged ≥40 years admitted to Swedish intensive care units between January 2008 and December 2015, comparing patients with and without LTOT. Among the 4,648 patients enrolled in the study, 450 were on LTOT prior to inclusion. Respiratory support data was available for 2,631 patients; 73% of these were treated with noninvasive ventilation (NIV) only, 17% were treated with immediate invasive ventilation, and 10% were intubated after failed attempt with NIV. Compared to patients without LTOT, patients with LTOT had higher 30-day mortality (38% vs. 25%; p < 0.001) and one-year mortality (70% vs. 43%; p < 0.001). Multivariable logistic and Cox regression models adjusted for age, sex and SAPS3 score confirmed higher mortality in LTOT, odds ratio for 30-day mortality was 1.8 ([95% confidence interval] 1.5-2.3) and hazard ratio for one-year mortality was 1.8 (1.6-2.0). In summary, although need for LTOT is a negative prognostic marker for survival after AECOPD requiring intensive care, a majority of patients with LTOT survived the AECOPD and 30% were alive after one year.

Short-term mortality of patients ≥80 years old admitted to European intensive care units: an international observational study.

BACKGROUND: Limited evidence suggests variation in mortality of older critically ill adults across Europe. We aimed to investigate regional differences in mortality among very old ICU patients. METHODS: Multilevel analysis of two international prospective cohort studies. We included patients ≥80 yr old from 322 ICUs located in 16 European countries. The primary outcome was mortality within 30 days from admission to the ICU. Results are presented as n (%) with 95% confidence intervals and odds ratios (ORs). RESULTS: Of 8457 patients, 2944 (36.9% [35.9-38.0%]) died within 30 days. Crude mortality rates varied widely between participating countries (from 10.1% [6.4-15.6%] to 45.1% [41.1-49.2%] in the ICU and from 21.3% [16.3-28.9%] to 55.3% [51.1-59.5%] within 30 days). After adjustment for confounding variables, the variation in 30-day mortality between countries was substantially smaller than between ICUs (median OR 1.14 vs 1.58). Healthcare expenditure per capita (OR=0.84 per $1000 [0.75-0.94]) and social health insurance framework (OR=1.43 [1.01-2.01]) were associated with ICU mortality, but the direction and magnitude of these relationships was uncertain in 30-day follow-up. Volume of admissions was associated with lower mortality both in the ICU (OR=0.81 per 1000 annual ICU admissions [0.71-0.94]) and in 30-day follow-up (OR=0.86 [0.76-0.97]). CONCLUSION: The apparent variation in short-term mortality rates of older adults hospitalised in ICUs across Europe can be largely attributed to differences in the clinical profile of patients admitted. The volume-outcome relationship identified in this population requires further investigation.

A descriptive study of the surge response and outcomes of ICU patients with COVID-19 during first wave in Nordic countries.

BACKGROUND: We sought to provide a description of surge response strategies and characteristics, clinical management and outcomes of patients with severe COVID-19 in the intensive care unit (ICU) during the first wave of the pandemic in Denmark, Finland, Iceland, Norway and Sweden. METHODS: Representatives from the national ICU registries for each of the five countries provided clinical data and a description of the strategies to allocate ICU resources and increase the ICU capacity during the pandemic. All adult patients admitted to the ICU for COVID-19 disease during the first wave of COVID-19 were included. The clinical characteristics, ICU management and outcomes of individual countries were described with descriptive statistics. RESULTS: Most countries more than doubled their ICU capacity during the pandemic. For patients positive for SARS-CoV-2, the ratio of requiring ICU admission for COVID-19 varied substantially (1.6%-6.7%). Apart from age (proportion of patients aged 65 years or over between 29% and 62%), baseline characteristics, chronic comorbidity burden and acute presentations of COVID-19 disease were similar among the five countries. While utilization of invasive mechanical ventilation was high (59%-85%) in all countries, the proportion of patients receiving renal replacement therapy (7%-26%) and various experimental therapies for COVID-19 disease varied substantially (e.g. use of hydroxychloroquine 0%-85%). Crude ICU mortality ranged from 11% to 33%. CONCLUSION: There was substantial variability in the critical care response in Nordic ICUs to the first wave of COVID-19 pandemic, including usage of experimental medications. While ICU mortality was low in all countries, the observed variability warrants further attention.

Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort study.

BACKGROUND: The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. METHODS: We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient's age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score. RESULTS: The median age in the sample of 7487 consecutive patients was 84 years (IQR 81-87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p < 0.001). The relationship between the CFS score and mortality was nonlinear (p < 0.01). CONCLUSION: Knowledge about a patient's frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided. Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2).

Frailty is associated with long-term outcome in patients with sepsis who are over 80 years old: results from an observational study in 241 European ICUs.

BACKGROUND: Sepsis is one of the most frequent reasons for acute intensive care unit (ICU) admission of very old patients and mortality rates are high. However, the impact of pre-existing physical and cognitive function on long-term outcome of ICU patients ≥ 80 years old (very old intensive care patients (VIPs)) with sepsis is unclear. OBJECTIVE: To investigate both the short- and long-term mortality of VIPs admitted with sepsis and assess the relation of mortality with pre-existing physical and cognitive function. DESIGN: Prospective cohort study. SETTING: 241 ICUs from 22 European countries in a six-month period between May 2018 and May 2019. SUBJECTS: Acutely admitted ICU patients aged ≥80 years with sequential organ failure assessment (SOFA) score ≥ 2. METHODS: Sepsis was defined according to the sepsis 3.0 criteria. Patients with sepsis as an admission diagnosis were compared with other acutely admitted patients. In addition to patients' characteristics, disease severity, information about comorbidity and polypharmacy and pre-existing physical and cognitive function were collected. RESULTS: Out of 3,596 acutely admitted VIPs with SOFA score ≥ 2, a group of 532 patients with sepsis were compared to other admissions. Predictors for 6-month mortality were age (per 5 years): Hazard ratio (HR, 1.16 (95% confidence interval (CI), 1.09-1.25, P < 0.0001), SOFA (per one-point): HR, 1.16 (95% CI, 1.14-1.17, P < 0.0001) and frailty (CFS > 4): HR, 1.34 (95% CI, 1.18-1.51, P < 0.0001). CONCLUSIONS: There is substantial long-term mortality in VIPs admitted with sepsis. Frailty, age and disease severity were identified as predictors of long-term mortality in VIPs admitted with sepsis.

The relationship between life-sustaining treatment limitation and organ donation in Swedish intensive care: A nationwide register study.

BACKGROUND: Life-sustaining treatment limitation (LSTL) on the intensive care unit (ICU) may affect the rate of organ donation after brain death (DBD). The primary aim of this study was to examine whether there is a relationship between LSTL and DBD. Furthermore, we aimed to determine the rate of LSTL involved in ICU deaths and to describe technical and procedural characteristics of LSTL on Swedish ICUs. METHODS: This was an observational cohort study on all ICU deaths (n = 13 156) in Sweden between 2014 and 2017. We analysed differences in DBD rates between deaths in ICU with and those without LSTL, using descriptive statistics and logistic regression. RESULTS: After excluding 1084 deaths on specialised ICUs and units not registering goals of treatment, the study population comprised 12 072 deaths including 615 DBDs, of which 7865 had LSTL, 1706 had no LSTL and 2501 had no stated goals of treatment. The final cohort on which the relationship between DBD and LSTL was analysed comprised 9571 deaths including 419 DBDs. When no LSTL was documented, the rate of organ donation was 9.5% compared to 3.3% when LSTL was documented (P < .001). LSTL was associated with a lower DBD rate after adjusting for patient- and ICU-related factors (OR 0.41, 95% CI 0.31-0.53, P < .001). CONCLUSION: There was an inverse relationship between LSTL and DBD amongst patients who died on the ICU. This relationship remained after adjusting for factors known to influence organ donation. The reason remains to be determined.

Management and outcomes in critically ill nonagenarian versus octogenarian patients.

BACKGROUND: Intensive care unit (ICU) patients age 90 years or older represent a growing subgroup and place a huge financial burden on health care resources despite the benefit being unclear. This leads to ethical problems. The present investigation assessed the differences in outcome between nonagenarian and octogenarian ICU patients. METHODS: We included 7900 acutely admitted older critically ill patients from two large, multinational studies. The primary outcome was 30-day-mortality, and the secondary outcome was ICU-mortality. Baseline characteristics consisted of frailty assessed by the Clinical Frailty Scale (CFS), ICU-management, and outcomes were compared between octogenarian (80-89.9 years) and nonagenarian (> 90 years) patients. We used multilevel logistic regression to evaluate differences between octogenarians and nonagenarians. RESULTS: The nonagenarians were 10% of the entire cohort. They experienced a higher percentage of frailty (58% vs 42%; p < 0.001), but lower SOFA scores at admission (6 + 5 vs. 7 + 6; p < 0.001). ICU-management strategies were different. Octogenarians required higher rates of organ support and nonagenarians received higher rates of life-sustaining treatment limitations (40% vs. 33%; p < 0.001). ICU mortality was comparable (27% vs. 27%; p = 0.973) but a higher 30-day-mortality (45% vs. 40%; p = 0.029) was seen in the nonagenarians. After multivariable adjustment nonagenarians had no significantly increased risk for 30-day-mortality (aOR 1.25 (95% CI 0.90-1.74; p = 0.19)). CONCLUSION: After adjustment for confounders, nonagenarians demonstrated no higher 30-day mortality than octogenarian patients. In this study, being age 90 years or more is no particular risk factor for an adverse outcome. This should be considered- together with illness severity and pre-existing functional capacity - to effectively guide triage decisions. TRIAL REGISTRATION: NCT03134807 and NCT03370692 .

Causes of late mortality among ICU-treated patients with sepsis.

BACKGROUND: Patients with sepsis may have an increased risk of late mortality, but the causes of late death are unclear. This retrospective matched cohort study aimed to determine the causes of late death (≥1 year) among patients with sepsis compared to patients without sepsis. METHODS: 8760 patients with severe sepsis or septic shock (2001 consensus criteria) registered in the Swedish Intensive Care Registry (2008-2013) were compared with a 1:1 matched (gender, age, SAPS3 probability for death, ICU length of stay) control group consisting of non-septic ICU patients. Causes of death (International Classification of Diseases codes) were obtained from the Swedish Cause of Death Register (2008-2014). RESULTS: During 2008-2014, 903 patients with sepsis died at ≥365 days after their initial septic event, compared to 884 patients in the control group. Median time of follow-up was 313 days (sepsis group, interquartile range 11-838 days) vs 288 days (control group, 9-836 days). The most common causes of death were heart diseases (sepsis: 50.2%, non-septic: 48.6%) and cancer (sepsis: 33.7%, non-septic: 31.7%). Infectious diseases were significantly more common cause of death in the sepsis group (24.3% vs 19.6%, respectively; P < .05). Pneumonia was a common infectious cause of death in both groups, whereas sepsis was more common in the sepsis group. CONCLUSIONS: The most common causes of late death after ICU admission among patients with and without sepsis were heart diseases and cancer. However, patients with sepsis more frequently had infectious diseases as a cause of late death, compared to non-septic patients.

Mortality after Severe Sepsis and Septic Shock in Swedish Intensive Care Units 2008-2016-A nationwide observational study.

BACKGROUND: Recent studies have reported substantially decreased hospital mortality for sepsis, but data are scarcer on outcomes after hospital discharge. We studied mortality up to 1 year in Swedish intensive care unit (ICU) patients with and without sepsis. METHODS: Demographic and medical data for all registered adult general ICU patients admitted between 01-01-2008 and 30-09-2016 were retrieved from the Swedish Intensive Care Registry and linked with the National Patient Register for comorbidity data and the Cause of Death Register for death dates. The population was divided in two cohorts; (a) Patients with a diagnosis of severe sepsis or septic shock and (b) All other ICU patients. Crude yearly mortality was calculated, and logistic regression was used to analyse predictors of mortality. RESULTS: 28 886 sepsis and 221 941 nonsepsis ICU patients were identified. In the sepsis cohort, in 2008 unadjusted mortality was 32.6% at hospital discharge, 32.7% at 30 days, 39% at 90 days and 46.8% at 365 days. In 2016, mortality was 30.5% at hospital discharge, 31.9% at 30 days and 38% at 90 days. Mortality at 365 days was 45.3% in 2015. Corresponding nonsepsis mortality was 15.4%, 16.2%, 20% and 26% in 2008 and 15.6%, 17.1%, 20.7% and 26.7% in 2016/2015. No consistent decrease in odds of mortality was seen in the adjusted analysis. CONCLUSIONS: Mortality in severe sepsis and septic shock is high, with more than one in three patients not surviving three months after ICU admission, and adjusted mortality has not decreased convincingly in Sweden 2008-2016. TRIAL REGISTRATION: The study was registered prospectively, ClinicalTrials.gov ID: NCT03489447.

No association with cardiac death after sepsis: A nationwide observational cohort study.

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.

Children aged 0-16 admitted to Swedish intensive care units and paediatric intensive care units showed low mortality rates.

AIM: This study described the basic characteristics of children aged 0-16 years who were treated in intensive care units (ICUs) and paediatric ICUs (PICUs), compared their outcomes and examined any causes of death. METHODS: This was a retrospective cohort study of admissions to 74 ICUs and three PICUs in Sweden that were recorded in the Swedish Intensive Care Registry from January 1, 2008 to December 31, 2012. RESULTS: We retrieved data on 12 756 children who were admitted 17 003 times. The case mix differed between the ICUs, which were mainly admissions for injuries, accidents and observation, and PICUs, which were mainly admissions for malformations, genetic abnormalities and respiratory problems (p < 0.001). The median stays in the ICUs and PICUs were 1.4 and 3.5 days (p < 0.001), respectively. The respective crude mortality rates were 1.1% and 2.0, and the Paediatric Index of Mortality version 2 standardised mortality ratios were 0.43 and 0.50. None of these differences were significant. Most deaths were within 24 hours: About 57% in the ICUs, mainly from brain anomalies, and 13% in the PICUs, mainly from circulatory problems. CONCLUSION: Sweden had a low mortality rate in both ICUs and PICUs and the children admitted to these two types of unit differed.

Impact of Missing Physiologic Data on Performance of the Simplified Acute Physiology Score 3 Risk-Prediction Model.

OBJECTIVES: The Simplified Acute Physiology 3 outcome prediction model has a narrow time window for recording physiologic measurements. Our objective was to examine the prevalence and impact of missing physiologic data on the Simplified Acute Physiology 3 model's performance. DESIGN: Retrospective analysis of prospectively collected data. SETTING: Sixty-three ICUs in the Swedish Intensive Care Registry. PATIENTS: Patients admitted during 2011-2014 (n = 107,310). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Model performance was analyzed using the area under the receiver operating curve, scaled Brier's score, and standardized mortality rate. We used a recalibrated Simplified Acute Physiology 3 model and examined model performance in the original dataset and in a dataset of complete records where missing data were generated (simulated dataset). One or more data were missing in 40.9% of the admissions, more common in survivors and low-risk admissions than in nonsurvivors and high-risk admissions. Discrimination did not decrease with one to two missing variables, but accuracy was highest with no missing data. Calibration was best in the original dataset with a mix of full records and records with some missing values (area under the receiver operating curve was 0.85, scaled Brier 27%, and standardized mortality rate 0.99). With zero, one, and two data missing, the scaled Brier was 31%, 26%, and 21%; area under the receiver operating curve was 0.84, 0.87, and 0.89; and standardized mortality rate was 0.92, 1.05 and 1.10, respectively. Datasets where the missing data were simulated for oxygenation or oxygenation and hydrogen ion concentration together performed worse than datasets with these data originally missing. CONCLUSIONS: There is a coupling between missing physiologic data, admission type, low risk, and survival. Increased loss of physiologic data reduced model performance and will deflate mortality risk, resulting in falsely high standardized mortality rates.

Comparing Time-Fixed Mortality Prediction Models and Their Effect on ICU Performance Metrics Using the Simplified Acute Physiology Score 3.

OBJECTIVES: To examine ICU performance based on the Simplified Acute Physiology Score 3 using 30-day, 90-day, or 180-day mortality as outcome measures and compare results with 30-day mortality as reference. DESIGN: Retrospective cohort study of ICU admissions from 2010 to 2014. SETTING: Sixty-three Swedish ICUs that submitted data to the Swedish Intensive Care Registry. PATIENTS: The development cohort was first admissions to ICU during 2011-2012 (n = 53,546), and the validation cohort was first admissions to ICU during 2013-2014 (n = 57,729). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Logistic regression was used to develop predictive models based on a first level recalibration of the original Simplified Acute Physiology Score 3 model but with 30-day, 90-day, or 180-day mortality as measures of outcome. Discrimination and calibration were excellent for the development dataset. Validation in the more recent 2013-2014 database showed good discrimination (C-statistic: 0.85, 0.84, and 0.83 for the 30-, 90-, and 180-d models, respectively), and good calibration (standardized mortality ratio: 0.99, 0.99, and 1.00; Hosmer-Lemeshow goodness of fit H-statistic: 66.4, 63.7, and 81.4 for the 30-, 90-, and 180-d models, respectively). There were modest changes in an ICU's standardized mortality ratio grouping (< 1.00, not significant, > 1.00) when follow-up was extended from 30 to 90 days and 180 days, respectively; about 11-13% of all ICUs. CONCLUSIONS: The recalibrated Simplified Acute Physiology Score 3 hospital outcome prediction model performed well on long-term outcomes. Evaluation of ICU performance using standardized mortality ratio was only modestly sensitive to the follow-up time. Our results suggest that 30-day mortality may be a good benchmark of ICU performance. However, the duration of follow-up must balance between what is most relevant for patients, most affected by ICU care, least affected by administrative policies and practically feasible for caregivers.

Inhibition of Constitutive Nitric Oxide Synthase Does Not Influence Ventilation-Perfusion Matching in Normal Prone Adult Sheep With Mechanical Ventilation.

BACKGROUND: Local formation of nitric oxide in the lung induces vasodilation in proportion to ventilation and is a putative mechanism behind ventilation-perfusion matching. We hypothesized that regional ventilation-perfusion matching occurs in part due to local constitutive nitric oxide formation. METHODS: Ventilation and perfusion were analyzed in lung regions (≈1.5 cm) before and after inhibition of constitutive nitric oxide synthase with N-nitro-L-arginine methyl ester (L-NAME) (25 mg/kg) in 7 prone sheep ventilated with 10 cm H2O positive end-expiratory pressure. Ventilation and perfusion were measured by the use of aerosolized fluorescent and infused radiolabeled microspheres, respectively. The animals were exsanguinated while deeply anesthetized; then, lungs were excised, dried at total lung capacity, and divided into cube units. The spatial location for each cube was tracked and fluorescence and radioactivity per unit weight determined. RESULTS: After administration of L-NAME, pulmonary artery pressure increased from a mean of 16.6-23.6 mm Hg, P = .007 but PaO2, PaCO2, and SD log(V/Q) did not change. Distribution of ventilation was not influenced by L-NAME, but a small redistribution of perfusion from ventral to dorsal lung regions was observed. Perfusion to regions with the highest ventilation (fifth quintile of the ventilation distribution) remained unchanged after L-NAME. CONCLUSIONS: We found minimal or no influence of constitutive nitric oxide synthase inhibition by L-NAME on the distributions of ventilation and perfusion, and ventilation-perfusion in prone, anesthetized, ventilated, and healthy adult sheep with normal gas exchange.

Gender differences in outcome and use of resources do exist in Swedish intensive care, but to no advantage for women of premenopausal age.

INTRODUCTION: Preclinical data indicate that oestrogen appears to play a beneficial role in the pathophysiology of and recovery from critical illness. In few previous epidemiologic studies, however, have researchers analysed premenopausal women as a separate group when addressing potential gender differences in critical care outcome. Our aim was to see if women of premenopausal age have a better outcome following critical care and to investigate the association between gender and use of intensive care unit (ICU) resources. METHODS: On the basis of our analysis of 127,254 consecutive Simplified Acute Physiology Score III-scored Swedish Intensive Care Registry ICU admissions from 2008 through 2012, we determined the risk-adjusted 30-day mortality, accumulated nurse workload score and ICU length of stay. To investigate associations with sex, we used logistic regression and multivariate analyses on the entire cohort as well as on two subgroups stratified by median age for menopause (up to and including 45 years and older than 45 years) and six selected diagnostic subgroups (sepsis, multiple trauma, chronic obstructive pulmonary disease, acute respiratory distress syndrome, pneumonia and cardiac arrest). RESULTS: There was no sex difference in risk-adjusted mortality for the cohort as a whole, and there was no sex difference in risk-adjusted mortality in the group 45 years of age and younger. For the group of patients older than 45 years of age, we found a reduced risk-adjusted mortality in men admitted for cardiac arrest. For the cohort as a whole, and for those admitted with multiple trauma, male sex was associated with a higher nurse workload score and a longer ICU stay. CONCLUSIONS: Using information derived from a large multiple ICU register database, we found that premenopausal female sex was not associated with a survival advantage following intensive care in Sweden. When the data were adjusted for age and severity of illness, we found that men used more ICU resources per admission than women did.

Evolution of chronic renal impairment and long-term mortality after de novo acute kidney injury in the critically ill; a Swedish multi-centre cohort study.

INTRODUCTION: Acute Kidney Injury (AKI) is common in critical ill populations and its association with high short-term mortality is well established. However, long-term risks of death and renal dysfunction are poorly understood and few studies exclude patients with pre-existing renal disease, meaning outcome for de novo AKI has been difficult to elicit. We aimed to compare the long-term risk of Chronic Kidney Disease (CKD), End Stage Renal Disease (ESRD) and mortality in critically ill patients with and without severe de novo AKI. METHOD: This cohort study was conducted between 2005 and 2011 in Swedish intensive care units (ICU). Data from 130134 adult patients listed on the Swedish intensive care register-database was linked with other national registries. Patients with pre-existing CKD (4192) and ESRD (1389) were excluded, as were cases (26771) with incomplete data. Patients were classified according to AKI exposure during ICU admission. Outcome in the de novo AKI group was compared to the non-exposed (no-AKI) intensive care control group. Primary outcome was all-cause mortality. Follow-up ranged from one to seven years (median 2.1 years). Secondary outcomes were incidence of CKD and ESRD and median follow-up was 1.3 years. RESULTS: Of 97 782 patients, 5273 (5.4%) had de novo AKI. These patients had significantly higher crude mortality at one (48.4% vs. 24.6%) and five years (61.8% vs. 39.1%) compared to the control group. The first 30% of deaths in AKI patients occurred within 11 days of ICU admission whilst the 30-centile in the no-AKI group died by 748 days. CKD was significantly more common in AKI survivors at one year (6.0% vs. 0.44%) than in no-AKI group (adjusted incidence rate ratio (IRR) 7.6). AKI patients also had significantly higher rates of ESRD at one (2.0% vs. 0.08%) and at five years (3.9% vs. 0.3%) than those in the comparison group (adjusted IRR 22.5). CONCLUSION: This large cohort study demonstrated that de novo AKI is associated with increased short and long-term risk of death. AKI is independently associated with increased risk of CKD and ESRD as compared to an ICU control population. Severe de novo AKI survivors should be routinely followed-up and their renal function monitored.

Moving on in life after intensive care--partners' experience of group communication.

BACKGROUND: Partners have a burdensome time during and after their partners' intensive care period. They may appear to be coping well outwardly but inside feel vulnerable and lost. Evaluated interventions for partners on this aspect are limited. AIM: The aim of this study was to describe the experience of participating in group communication with other partners of former intensive care patients. DESIGN: The study has a descriptive intervention-based design where group communication for partners of former, surviving intensive care unit (ICU) patients was evaluated. METHODS: A strategic selection was made of adult partners to former adult intensive care patients (n = 15), 5 men and 10 women, aged 37-89 years. Two group communication sessions lasting 2 h were held at monthly intervals with three to five partners. The partners later wrote, in a notebook, about their feelings of participating in group communications. To deepen the understanding of the impact of the sessions, six of the partners were interviewed. Content analysis was used to analyse the notebooks and the interviews. FINDINGS: Three categories were identified: (1) Emotional impact, the partners felt togetherness and experienced worries and gratitude, (2) Confirmation, consciousness through insight and reflection and (3) The meeting design, group constellation and recommendation to participate in group communication. CONCLUSION: Partners of an intensive care patient are on a journey, constantly trying to adapt to the new situation and find new strategies to ever-changing circumstances. Group communications contributed to togetherness and confirmation. To share experiences with others is one way for partners to be able to move forward in life. RELEVANCE TO CLINICAL PRACTICE: Group communication with other patients' partners eases the process of going through the burden of being a partner to an intensive care patient. Group communications needs to be further developed and evaluated to obtain consensus and evidence for the best practice.