Combat-Related Invasive Fungal Infections: Development of a Clinically Applicable Clinical Decision Support System for Early Risk Stratification

Introduction: Invasive fungal infections (IFI) are associated with high morbidity and mortality. A better method of risk stratifying trauma patients for combat-related IFI is needed to improve clinical outcomes while minimizing morbidity related to overtreatment. We sought to develop combat-related IFI clinical decision support (CDS) tools to assist providers to make treatment decisions both near the point of injury and subsequently at definitive treatment centers. Materials and Methods: We utilized a training dataset containing information from 227 combat-injured military personnel to build a Bayesian belief network (BBN) to predict the likelihood of developing IFI using information available at the point of initial resuscitation (THEATER model) and in the tertiary care setting (MEDCEN model). After selecting BBN models, external validation used a separate test dataset of 350 wounded warriors. Furthermore, the performance of the BBN models was compared with a two-rule model alone (based on physician experience) and combinations of the BBN models plus the two-rule model. The two-rule model contains plausible IFI criteria, but it has not been formally evaluated, and they are not currently actual clinical guidelines. Results: We found receiver operating characteristic areas under the curve (AUC) of 0.70 (95% CI: [0.62, 0.77]) and 0.68 (95% CI: [0.59, 0.76]) for the THEATER and MEDCEN BBN models, respectively, on cross-validation. External validation with the highest AUC BBN models produced THEATER AUC of 0.68 (95% CI: [0.58, 0.78]) and MEDCEN AUC of 0.67 (95% CI: [0.57, 0.78]). With the incorporation of two-rule model in low IFI-prevalence populations, external validation AUC increased to 0.77 (95% CI: [0.69, 0.84]) for the THEATER model and 0.76 (95% CI:[0.68, 0.85]) for the LRMC model. The two-rule model alone has an AUC of 0.72 (95% CI: [0.63, 0.81]). Conclusions: Overall, the IFI tools produced clinically useful, robust models. However, the clinical utility of these models is highly dependent upon the clinician\u27s individual risk tolerance. The threshold probability for optimal clinical use of this CDS tool is currently being evaluated in an ongoing clinical utilization study. CDS tools, such as these, may facilitate early diagnosis of patients with or at risk for IFI, permitting early or prophylactic treatment with the aim of improving outcomes

Top 10 Signs and Symptoms of Psychotropic Adverse Drug Events to Monitor in Residents of Long-Term Care Facilities

Objectives: To produce a consensus list of the top 10 signs and symptoms suggestive of adverse drug events (ADEs) for monitoring in residents of long-term care facilities (LTCFs) who use antipsychotics, benzodiazepines, or antidepressants. Design: A 3-round Delphi study. Setting and Participants: Geriatricians, psychiatrists, pharmacologists, general practitioners, pharmacists, nurses, and caregivers from 13 Asia Pacific, European, and North American countries. Methods: Three survey rounds were completed between April and June 2023. In Round 1, participants indicated their level of agreement on a 9-point Likert scale on whether 41 signs or symptoms identified in a systematic review should be routinely monitored. Participants considered signs and symptoms that reduce quality of life or cause significant harm, are observable or measurable by nurses or care workers, and can be assessed at a single time point. Round 1 statements were included in a list for prioritization in Round 3 if ≥ 70% of participants responded ≥7 on the Likert scale. Statements were excluded if ≤ 30% of participants responded ≥7. In Round 2, participants indicated their level of agreement with statements that did not reach initial consensus, plus amended statements based on Round 1 participant feedback. Round 2 statements were included in Round 3 if ≥ 50% of the participants responded ≥7 on the Likert scale. In Round 3, participants prioritized the signs and symptoms. Results: Forty-four participants (93.6%) completed all 3 rounds. Four of 41 signs and symptoms reached consensus for inclusion after Round 1, and 9 after Round 2. The top 10 signs and symptoms prioritized in Round 3 were recent falls, daytime drowsiness or sleepiness, abnormal movements (eg, shaking or stiffness), confusion or disorientation, balance problems, dizziness, postural hypotension, reduced self-care, restlessness, and dry mouth. Conclusions and Implications: The top 10 signs and symptoms provide a basis for proactive monitoring for psychotropic ADEs

Dutch influences on English literary culture in the early renaissance, 1470–1650

During the fifteenth, sixteenth and seventeenth centuries the Low Countries made a series of important contributions to English literature. Through such agents as the printers of Antwerp and Amsterdam, and the movements of Dutch scholars and Calvinist refugees, the Low Countries exerted a continuous impact on the literary culture of England. This article examines the scope of Dutch influence during the English Renaissance, indicates some of its key effects, and provides an overview of existing scholarship on the subject

Intraoperative ventilator settings and their association with postoperative pulmonary complications in neurosurgical patients: post-hoc analysis of LAS VEGAS study

Background: Limited information is available regarding intraoperative ventilator settings and the incidence of postoperative pulmonary complications (PPCs) in patients undergoing neurosurgical procedures. The aim of this post-hoc analysis of the 'Multicentre Local ASsessment of VEntilatory management during General Anaesthesia for Surgery' (LAS VEGAS) study was to examine the ventilator settings of patients undergoing neurosurgical procedures, and to explore the association between perioperative variables and the development of PPCs in neurosurgical patients. Methods: Post-hoc analysis of LAS VEGAS study, restricted to patients undergoing neurosurgery. Patients were stratified into groups based on the type of surgery (brain and spine), the occurrence of PPCs and the assess respiratory risk in surgical patients in Catalonia (ARISCAT) score risk for PPCs. Results: Seven hundred eighty-four patients were included in the analysis; 408 patients (52%) underwent spine surgery and 376 patients (48%) brain surgery. Median tidal volume (VT) was 8 ml [Interquartile Range, IQR = 7.3-9] per predicted body weight; median positive end-expiratory pressure (PEEP) was 5 [3 to 5] cmH20. Planned recruitment manoeuvres were used in the 6.9% of patients. No differences in ventilator settings were found among the sub-groups. PPCs occurred in 81 patients (10.3%). Duration of anaesthesia (odds ratio, 1.295 [95% confidence interval 1.067 to 1.572]; p = 0.009) and higher age for the brain group (odds ratio, 0.000 [0.000 to 0.189]; p = 0.031), but not intraoperative ventilator settings were independently associated with development of PPCs. Conclusions: Neurosurgical patients are ventilated with low VT and low PEEP, while recruitment manoeuvres are seldom applied. Intraoperative ventilator settings are not associated with PPCs

Association between night-time surgery and occurrence of intraoperative adverse events and postoperative pulmonary complications

Background: The aim of this post hoc analysis of a large cohort study was to evaluate the association between night-time surgery and the occurrence of intraoperative adverse events (AEs) and postoperative pulmonary complications (PPCs). Methods: LAS VEGAS (Local Assessment of Ventilatory Management During General Anesthesia for Surgery) was a prospective international 1-week study that enrolled adult patients undergoing surgical procedures with general anaesthesia and mechanical ventilation in 146 hospitals across 29 countries. Surgeries were defined as occurring during 'daytime' when induction of anaesthesia was between 8: 00 AM and 7: 59 PM, and as 'night-time' when induction was between 8: 00 PM and 7: 59 AM. Results: Of 9861 included patients, 555 (5.6%) underwent surgery during night-time. The proportion of patients who developed intraoperative AEs was higher during night-time surgery in unmatched (43.6% vs 34.1%; P<0.001) and propensity-matched analyses (43.7% vs 36.8%; P = 0.029). PPCs also occurred more often in patients who underwent night-time surgery (14% vs 10%; P = 0.004) in an unmatched cohort analysis, although not in a propensity-matched analysis (13.8% vs 11.8%; P = 0.39). In a multivariable regression model, including patient characteristics and types of surgery and anaesthesia, night-time surgery was independently associated with a higher incidence of intraoperative AEs (odds ratio: 1.44; 95% confidence interval: 1.09-1.90; P = 0.01), but not with a higher incidence of PPCs (odds ratio: 1.32; 95% confidence interval: 0.89-1.90; P = 0.15). Conclusions: Intraoperative adverse events and postoperative pulmonary complications occurred more often in patients undergoing night-time surgery. Imbalances in patients' clinical characteristics, types of surgery, and intraoperative management at night-time partially explained the higher incidence of postoperative pulmonary complications, but not the higher incidence of adverse events

Association between night-time surgery and occurrence of intraoperative adverse events and postoperative pulmonary complications

Background: The aim of this post hoc analysis of a large cohort study was to evaluate the association between night-time surgery and the occurrence of intraoperative adverse events (AEs) and postoperative pulmonary complications (PPCs)