BACKGROUND: Poor communication about serious injury in older adults can lead to treatment that is inconsistent with patient preferences, create conflict and strain healthcare resources. We developed a communication intervention called Best Case/Worst Case-intensive care unit (ICU) that uses daily scenario planning, that is, a narrative description of plausible futures, to support prognostication and facilitate dialogue among patients, their families and the trauma ICU team. This article describes a protocol for a multisite, randomised, stepped-wedge study to test the effectiveness of the intervention on the quality of communication (QOC) in the ICU.
METHODS: We will follow all patients aged 50 and older admitted to the trauma ICU for 3 or more days after a serious injury at eight high-volume level 1 trauma centres. We aim to survey one family or \'like family\' member per eligible patient 5-7 days following their loved ones\' admission and clinicians providing care in the trauma ICU. Using a stepped-wedge design, we will use permuted block randomisation to assign the timing for each site to begin implementation of the intervention and routine use of the Best Case/Worst Case-ICU tool. We will use a linear mixed-effects model to test the effect of the tool on family-reported QOC (using the QOC scale) as compared with usual care. Secondary outcomes include the effect of the tool on reducing clinician moral distress (using the Measure of Moral Distress for Healthcare Professionals scale) and patients\' length of stay in the ICU.
BACKGROUND: Institutional review board (IRB) approval was granted at the University of Wisconsin, and all study sites ceded review to the primary IRB. We plan to report results in peer-reviewed publications and national meetings.
BACKGROUND: NCT05780918.

Magnesium (Mg) deficiency has been found to be associated with many clinical conditions, such as type 2 diabetes mellitus (T2DM), cardiovascular diseases and likewise. Studies evaluating the association between serum Mg levels and ischaemic stroke in T2DM from India are limited, and this formed the aim of this study.
We conducted a case-control study among patients with T2DM where cases had a history of acute ischaemic stroke in the preceding 2 years and controls with no such history. Data regarding sociodemographic and clinical details and laboratory parameters, including serum Mg concentration, were collected using a semistructured questionnaire. Furthermore, propensity score matching (PSM) was done to match the controls with the cases.
We enrolled a total of 200 participants (cases: 75 and controls: 125), but after PSM, 149 participants (cases: 75 and control:74) were analysed. The serum Mg concentrations were significantly low (p<0.001) among the cases (mean (SD)=1.74 (0.22)) when compared with the controls (mean (SD)=1.95 (0.13)). For every 0.1 mg/dL decrease in serum Mg concentration, the odds of ischaemic stroke increase by approximately 1.918 times (95% CI 1.272 to 2.890; p=0.002).
The mean Mg level in the ischaemic stroke group was significantly low compared with the no stroke group in patients with T2DM. We recommend further controlled studies to evaluate the role of Mg supplementation in the management of acute ischaemic stroke.

The implementation of complex interventions is considered challenging, particularly in multi-site clinical trials and dynamic clinical settings. This study protocol is part of the family intensive care units (FICUS) hybrid effectiveness-implementation study. It aims to understand the integration of a multicomponent family support intervention in the real-world context of adult intensive care units (ICUs). Specifically, the study will assess implementation processes and outcomes of the study intervention, including fidelity, and will enable explanation of the clinical effectiveness outcomes of the trial.
This mixed-methods multiple case study is guided by two implementation theories, the Normalisation Process Theory and the Consolidated Framework for Implementation Research. Participants are key clinical partners and healthcare professionals of eight ICUs allocated to the intervention group of the FICUS trial in the German-speaking part of Switzerland. Data will be collected at four timepoints over the 18-month active implementation and delivery phase using qualitative (small group interviews, observation, focus group interviews) and quantitative data collection methods (surveys, logs). Descriptive statistics and parametric and non-parametric tests will be used according to data distribution to analyse within and between cluster differences, similarities and factors associated with fidelity and the level of integration over time. Qualitative data will be analysed using a pragmatic rapid analysis approach and content analysis.
Ethics approval was obtained from the Cantonal Ethics Committee of Zurich BASEC ID 2021-02300 (8 February 2022). Study findings will provide insights into implementation and its contribution to intervention outcomes, enabling understanding of the usefulness of applied implementation strategies and highlighting main barriers that need to be addressed for scaling the intervention to other healthcare contexts. Findings will be disseminated in peer-reviewed journals and conferences.
Open science framework (OSF) https://osf.io/8t2ud Registered on 21 December 2022.

The aim of this study was to compare readmissions and death between sepsis and non-sepsis hospitalisations the first year after discharge, and to investigate what diagnoses patients with sepsis present with at readmission. The aim was also to evaluate to what degree patients hospitalised for sepsis seek medical attention prior to hospitalisation.
Retrospective case-control study with data validated through clinical chart review. A disproportionate stratified sampling model was used to include a relatively larger number of sepsis hospitalisations.
All eight public hospitals in region Scania, Sweden (1 January to 3 December 2019).
There were 447 patients hospitalised for sepsis (cases), and 541 hospitalised for other causes (control) identified through clinical chart review.
Cox regression was used to analyse readmission and death the year after discharge, and logistic regression was used to analyse healthcare the week prior to hospitalisation. Both analyses were made unadjusted, and adjusted for age, sex and comorbidities.
Out of patients who survived a sepsis hospitalisation, 48% were readmitted the year after discharge, compared with 39% for patients without sepsis (HR 1.50, 95% CI 1.03 to 2.19), p=0.04. The majority (52%) of readmissions occurred within 90 days and 75% within 180 days. The readmissions were most often caused by infection (32%), and 18% by cardiovascular disease. Finally, 34% of patients with sepsis had sought prehospital contact with a physician the week before hospitalisation, compared with 22% for patients without sepsis (OR 1.80, 95% CI 1.06 to 3.04), p=0.03.
Patients hospitalised for sepsis had a higher risk of readmission the year after discharge compared with patients without sepsis. The most common diagnoses at readmission were infection followed by cardiovascular disease. With better follow-up, some of these readmissions could potentially be prevented. Patients hospitalised for sepsis had sought prehospital contact the week prior to hospitalisation to a greater extent than patients without sepsis.

The aim of this study was to identify prehospital and early hospital risk factors associated with 30-day mortality in patients with blood culture-confirmed community-acquired bloodstream infection (CA-BSI) in Sweden.
A retrospective case-control study of 1624 patients with CA-BSI (2015-2016), 195 non-survivors satisfying the inclusion criteria were matched 1:1 with 195 survivors for age, gender and microorganism. All forms of contact with a healthcare provider for symptoms of infection within 7 days prior CA-BSI episode were registered. Logistic regression was used to analyse risk factors for 30-day all-cause mortality.
Of the 390 patients, 61% (115 non-survivors and 121 survivors) sought prehospital contact. The median time from first prehospital contact till hospital admission was 13 hours (6-52) for non-survivors and 7 hours (3-24) for survivors (p<0.01). Several risk factors for 30-day all-cause mortality were identified: prehospital delay OR=1.26 (95% CI: 1.07 to 1.47), p<0.01; severity of illness (Sequential Organ Failure Assessment score) OR=1.60 (95% CI: 1.40 to 1.83), p<0.01; comorbidity score (updated Charlson Index) OR=1.13 (95% CI: 1.05 to 1.22), p<0.01 and inadequate empirical antimicrobial therapy OR=3.92 (95% CI: 1.64 to 9.33), p<0.01. In a multivariable model, prehospital delay >24 hours from first contact remained an important risk factor for 30-day all-cause mortality due to CA-BSI OR=6.17 (95% CI: 2.19 to 17.38), p<0.01.
Prehospital delay and inappropriate empirical antibiotic therapy were found to be important risk factors for 30-day all-cause mortality associated with CA-BSI. Increased awareness and earlier detection of BSI in prehospital and early hospital care is critical for rapid initiation of adequate management and antibiotic treatment.

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This paper describes a series of critically ill patients who were cared for at a UK military field hospital during Op TRENTON 4, in support of the United Nations Mission in South Sudan. These cases highlight the potential challenges in managing the critically ill patient during contingency operations that take place in an austere resource-limited environment.