Background: Aneurysmal subarachnoid haemorrhage (aSAH) is a life-threatening disease with high mortality and morbidity. Patients with aSAH in Sweden are cared for at one of six neuro intensive care units (NICU) or at a general intensive care unit (ICU).This study aimed to describe the incidence, length of stay, time in ventilator and mortality for these patients. Methods: This is a retrospective, descriptive study of patients with aSAH, registered in the Swedish Intensive care Registry between 2017 and 2019. The cohort was divided in sub-cohorts (NICU and general ICU) and regions. Mortality was analysed with logistic regression. Results: A total of 1520 patients with aSAH from five regions were included in the study. Mean age of the patients were 60.6 years and 58% were female. Mortality within 180 days of admission was 30% (n = 456) of which 17% (n = 258) died during intensive care. A majority of the patients were treated at one hospital and in one ICU (70%, n = 1062). More than half of the patients (59%, n = 897) had their first intensive care admission at a hospital with a NICU. Patients in the North region had the lowest median GCS (10) and the highest SAPS3 score (60) when admitted to NICU. Treatment with invasive mechanical ventilation differed significantly between regions; 91% (n = 80) in the region with highest proportion versus 56% (n = 94) in the region with the lowest proportion, as did mortality; 16% (n = 44) versus 8% (n = 23). No differences between regions were found regarding age, sex and length of stay. Conclusions: Patients with aSAH treated in a NICU or in an ICU in Sweden differs in characteristics. The study further showed some differences between regions which might be reduced if there were national consensus and treatment guidelines implemented.

The COVID-19 pandemic occurred in 2020, and affected people's daily life worldwide at work and at home. Healthcare workers are a professional group with heavy workloads, and during the COVID-19 pandemic, their burden increased. The literature from earlier outbreaks describes risks for affected mental health in frontline workers, and the main aim of this study is to examine healthcare workers' quality of life during the COVID-19 pandemic. In addition, we sought to assess if there was any difference in working at a pandemic ward compared to anon-pandemic ward. In this longitudinal and descriptive study, a total of 147 healthcare workers assessed their perceived health every third month over one year using the RAND-36 health survey. RAND-36 is a general instrument that consists of 36 questions and is widely used for assessing quality of life. The healthcare workers in this study showed reductions in perceived quality of life during the first six months of the COVID-19 pandemic. Healthcare workers on a pandemic ward reported a lower score in RAND-36 compared to healthcare workers on a non-pandemic ward. Registered nurses and licensed practical nurses seemed more negatively affected in their quality of life than physicians. Compared to data from the general Swedish population, healthcare workers in this study had less energy during this period.

The aim of this study was to evaluate the usefulness of EQ-5D as a patient-reported outcome measure using different analytical methods. Especially we used the Paretian Classification of Health Change, to see if this gave better information compared to measures that are more traditional. For the evaluation we used data from patients with chronic heart failure (HF).

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Background:Trauma patients experience morbidity related to disability and cognitive impairment that negatively impact their health-related quality of life (HRQoL). We assessed the impact of trauma on disability, cognitive impairment and HRQoL after intensive care in patients with and without traumatic brain injury (TBI) and created a predictive score to identify patients with worse outcome. Methods:We identified 262 patients with severe trauma (ISSamp;gt;15) admitted to the emergency room of a level 1 trauma center. Patients above 13 years were included. After 6 months, patients were assessed for disability, cognitive impairment, and HRQoL. A global health outcome score after trauma (GHOST) was obtained through the combination of these domains. Logistic regression analysis was considered for the effect of demographic, trauma and hospital factors on global outcome. p amp;gt; 0.05. Statistics performed with SPSS 23.0. Results:Patients with the worst outcomes were older and had a longer length of Intensive Care Unit (ICU) stay. The effect of gender was found in all "GHOST dimensions". TBI was not significantly associated with worse outcome. Conclusions:No significant differences were seen on disability, cognitive impairment and decreased HRQoL in patients with or without TBI. Our GHOST score showed that female gender, older age, and longer ICU stay were significantly associated with the worst outcome. Abbreviations: AIS: Abbreviated Injury Scale; EQ-5D: EuroQol 5-dimensions; EQ-5D-3L: EuroQol 5-dimensions 3-levels; GCS: Glasgow Coma Scale; GOSE: Glasgow Outcome Scale Extended; HRQoL: Health-Related Quality of Life; ICU: Intensive Care Unit; ISS: Injury Severity Score; MMS: Mini Mental State; NICE: National Institute for Health and Care Excellence; RTS: Revised Trauma Score; TBI: Traumatic brain injury; TRISS: Trauma Injury Severity Score; VAS: Visual Analogue Scale.

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 IHTs

CONCLUSION. 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.