Karnatovskaia, Lioudmila V.

Abstract Background Upper-airway and respiratory conditions impose a large and growing global burden, yet there is no standardized way to assess whether a nasal microbiome is “healthy”. Currently, monitoring remains reactive, beginning only after symptoms manifest. The nasal cavity is well suited to proactive monitoring: it shapes respiratory health and pathogen colonization resistance, and can be sampled non-invasively and repeatedly. To address this gap, we introduce the Nasal Microbiome Wellness Index (NMWI), a disease-agnostic, continuous score of nasal microbiome health derived from LASSO-penalized logistic regression. Rather than counting taxa, it learns which taxa (and in what balance) characterize a healthy nose and returns the predicted log-odds that a profile resembles a healthy state. The index was trained on 1654 nasal 16S rRNA gene amplicon sequencing samples (589 healthy, 1065 non-healthy) pooled from 27 publicly available studies, uniformly reprocessed through a single computational pipeline. Results The NMWI comprises an interpretable signature of 24 taxa whose combined relative abundances determine the health-associated log-odds. Health-associated genera such as Corynebacterium and Cutibacterium raised the score, while dysbiosis-associated genera such as Pseudomonas and Escherichia – Shigella lowered it. The NMWI substantially outperformed the Shannon, Simpson, and Chao1 diversity indices, which showed negligible, directionally inconsistent separation between healthy and non-healthy samples (|Cliff’s δ | = 0.01–0.20), whereas the NMWI produced large, consistent separation ( δ = 0.65). It achieved a balanced accuracy of 74.37% on the training data (resubstitution estimate), and 73.43% under repeated 10-times 10-fold cross-validation. Performance remained stable at mean balanced accuracy of 73.82% under a leave-one-study-out framework, reflecting cross-study generalizability. In independent external cohorts, the balanced accuracy was 71.49%, and leave-one-disease-out analysis (in which each disease condition was withheld from training) showed a mean balanced accuracy of 63.92% across unseen conditions, consistent with a disease-agnostic design. The index also generalized across heterogeneous datasets spanning multiple 16S rRNA gene hypervariable regions—to our knowledge the first demonstration of such cross-study, cross-region transferability for the nasal cavity. Conclusions The NMWI distills a complex nasal microbial profile into a single interpretable score computed directly from the 16S rRNA gene data that dominate existing nasal research, making it immediately applicable to published and future datasets without re-sequencing. By replacing descriptive, diversity-based comparison with a quantitative standard, it offers a reproducible, open-source foundation for cross-study benchmarking, individual-level phenotyping, and longitudinal respiratory wellness monitoring.

Abstract Rationale Long COVID (LC) has affected approximately 400 million people worldwide, with about 20 million in the US. LC is characterized by a host of new symptoms, including neuropsychiatric disorders including cognitive impairment. Disruption of the gut microbiome has been correlated with symptoms of LC. This study examined whether gut microbiome modulation via intake of probiotic fermented foods mitigated psychiatric and cognitive impairments. Methods This was a pilot trial performed at a single academic medical center that enrolled and randomized patients with LC 1:1 into the treatment vs. control arm. Those enrolled into the treatment arm received teaching on the gut microbiome, its relationship to LC, and were encouraged to eat a diet high in probiotic fermented foods for 12 weeks. Those in the control arm did not receive the teaching and were encouraged to eat their normal diet. Diets were tracked using the Mayo Clinic Diet application on a smart phone at least three days per week, and those in the treatment arm received routine calls to discuss protocol adherence and gather subjective feedback on the trial. Neuropsychiatric questionnaires (HADS, IES-R, EQ-5D-5L, and MoCA Blind) were completed at enrollment and upon completion of the trial. Questionnaire scores were evaluated for changes using a paired t-test, with statistical significance defined as a p-value <0.05. Correlation between the fermented food intake and improvements in questionnaires was completed using the Spearman test. Results 43 patients were enrolled; 18 patients in the treatment arm and 20 patients in the control arm completed the trial. Groups did not differ by age, race, education, or baseline neuropsychiatric testing. There was a significant increase in fermented food intake in the treatment arm over the duration of the study. Those in the treatment arm had improvements in questionnaires related to anxiety, PTSD, and quality of life. Those in the control arm only had improvements in reported overall quality of life. Intra-group changes can be seen in Table 1. Correlations between fermented food intake and change in questionnaire scoring showed numerical but not statistically significant improvements in many of the questionnaires, except for the MOCA questionnaire and EQ-5D-5L Self-Care question. Conclusion Implementing a diet high in fermented foods in patients with LC appears to have some signal for improvement in neuropsychiatric symptoms. Completing a larger trial would help clarify if changes would be statistically significant. This abstract is funded by: Mayo Clinic Critical Care Research Committee

Introduction Patient dehumanization when caring for critically ill patients in the intensive care unit (ICU) is commonplace. The Get to Know Me board (GTKMB) has been identified as a valuable tool for promoting humanized care and communication in the ICU; however, its implementation is highly variable. This study aimed to identify the barriers and facilitators influencing consistent implementation of the GTKMB in the ICU. Materials and methods We conducted multidisciplinary focus groups via teleconference with ICU clinicians at a large quaternary care academic medical center. A thematic content analysis was performed to identify key themes and concepts related to GTKMB implementation. Results Thirty-eight clinicians participated across six focus groups, including 10 nurses, 7 physicians, 6 advanced practice providers, 5 rehabilitation therapists (allied health clinicians), 1 respiratory therapist and 1 social worker. Major themes related to barriers and facilitators of GTKMB implementation included, (1) identifying appropriate patients and optimal timing for completing the GTKMB, (2) logistical challenges such as access to the board, visibility and unclear responsibility for completion, (3) the importance of clinician role modeling supporting the board completion, and (4) opportunities to improve the design and functionality of the board itself. Conclusion Although clinicians recognize the GTKMB as a meaningful tool to support humanized care in the ICU, inconsistent implementation limits its potential impact. This study highlights several key barriers and facilitators to its use. Future efforts should focus on targeted quality improvement initiatives to enhance consistent completion and integration of the GTKMB into ICU practice.

ABSTRACT We report on the 2025 International ICU Diary Conference that provided a comprehensive update on current knowledge, innovations and global practices related to ICU diaries. Held in a 6‐week online format, the event featured 23 speakers and was attended by mean 69.7 (SD 20.5) participants per session. Topics included development of ICU diaries, use in special settings, digital diaries, survivors' and families' experiences, Post‐Intensive‐Care Syndrome and follow‐up and implementation projects. Highlights were innovative solutions for digital diaries and the report of persons with lived and living experiences with diaries, changing the focus on humanising critical care. Relevance for Practice ICU diaries support patient‐ and family‐centred care and should be implemented more widely across healthcare systems. Their successful adoption requires contextual adaptation and policy support, with future development likely to be shaped by the increasing use of digital ICU diaries.

Purpose Survivors of critical illness often acquire significant physical, cognitive, and psychological burdens following their intensive care unit (ICU) stay, termed “post-intensive care syndrome” (PICS). Screening for PICS is generally not performed outside of research settings largely due to lack of a simple assessment tool and time constraints. Methods This was a prospective cohort study at a single academic medical center in the USA. We included adults (18 years or older) who spent greater than 48 h in any ICU within the medical center. Following transfer out of the ICU and at 3 months, psychological, cognitive, and physical functioning were assessed using the Hospital Anxiety and Depression Scale, Impact of Event Scale-Revised, Montreal Cognitive Assessment-blind, and Barthel Index. We compared these validated questionnaires to a brief, 15-item PICS screening tool (5 questions/domain) that was developed by our multidisciplinary study team and administered to study participants after ICU discharge to general care. The primary objectives of this study were to assess the ability of validated screening tools administered at ICU discharge to predict PICS at 3 months and develop a novel screening tool for identifying patients at risk of PICS. Major Findings 191 participants completed the initial questionnaire, and 109 (56%) completed the 3-month follow-up. PICS tool scores were compared to 3-month follow-up data from validated questionnaires to evaluate predictive performance. Overall, the screening tool weakly-to-moderately correlated with continuous outcomes of the validated measures at 3-month follow-up. When evaluating sensitivity and specificity for individual domains, the screening tool had an area under curve of >0.7 for all three domains, indicating moderate-to-good sensitivity and specificity. Conclusions We developed a brief PICS screening tool that is feasible to use without prior training that modestly predicted the development of PICS following ICU stay.

The intensive care unit (ICU) is a highly disease-focused environment where patients are often perceived primarily through their diagnoses rather than as individuals. The Get-To-Know-Me Board (GTKMB) was introduced as a humanizing tool to highlight patients’ personal attributes and foster person-centered care. Despite being found valuable in supporting humanized caring and fostering communication, completion rates at our institution remained low. Through a stakeholder-driven quality improvement initiative, we tested sequential interventions including reminders and checklists, visual magnets, and educational pamphlets to improve and increase the use of the GTKMB. These measures produced modest gains, with reminders and checklists yielding the most notable improvement. Barriers to using the GKTMB included unclear ownership, timing, and inconsistent integration into workflow. Our experience underscores both the promise and limitations of humanizing interventions in critical care. Sustainable implementation requires multidisciplinary buy-in and integration into daily routines. Whereas humanizing tools such as the GTKMB should be evaluated for their impact on meaningful patient outcomes, such outcomes are not clearly established; therefore, we embark on the necessary first step of a method of implementation.

Abstract RATIONALE: Many ICU patients experience physical, psychological, and cognitive impairments following resolution of critical illness, collectively referred to as post-intensive care syndrome (PICS). PICS has become widely recognized within the critical care field, but how to screen for PICS does not currently have consensus. Development of a validated, concise PICS screening tool would allow for rapid identification of this vulnerable and understudied population. Therefore, this study's goal was to develop and evaluate a screening tool to identify patients at risk for PICS. METHODS: We performed a prospective cohort study in a quaternary academic hospital. We included adults ≥ 18 years old with ≥48 hours spent in an ICU. Exclusion criteria were admission for suicide attempt, severe cognitive impairment/dementia, life expectancy <3 months, and non-English speaking. We assessed mental, cognitive, and physical function following ICU discharge and at 3 months using Hospital Anxiety and Depression Scale, Impact of Event Scale-Revised, Montreal Cognitive Assessment-blind, and Barthel Index. Our team, including critical care physicians, psychiatrists, psychologists, physical and occupational therapists, and nurses, developed a brief 15-item PICS screening tool (5 questions/domain). This tool was administered after patients were discharged from ICU stay to general care to assess its effectiveness in predicting impairments in all 3 domains at discharge and again at three months after hospital discharge, in comparison to previously mentioned validated questionnaires. Youden index statistical methods were used to determine potential “cutoff” values (scores) for the tool to maximize sensitivity and specificity. RESULTS: A total of 194 patients from 6 ICUs were recruited and completed the initial questionnaire, and 109 (56%) patients completed 3-month follow-up. Median age was 65 years (IQR 57-72) and 49% (95/194) were female. Screening tool is depicted in Figure 1. Overall, the screening tool weakly-to-moderately correlated with continuous outcomes of the validated measures upon ICU discharge and 3-month follow-up. When evaluating sensitivity and specificity for individual domains, the tool had an area under the receiver operating curve of >0.7 for the following domains: cognitive, anxiety, and physical impairments, indicating moderate-to-good sensitivity and specificity. CONCLUSIONS: This PICS screening tool was correlated with validated measures of PICS upon ICU discharge and at 3-month follow-up for all three domains. The tool's strength lies in its concise nature, making it easier for those caring for this patient population to screen for long-term effects of an ICU stay. Our proposed next step is validation of the PICS screening tool in an external cohort.

To identify medical phrases utilized by the critical care team that may have an unintended impact on the critically ill patient, we administered an anonymous survey to multi-professional critical care team members. We elicited examples of imprecise language that may have a negative emotional impact on the critically ill. Of the 1600 providers surveyed, 265 offered 1379 examples (912 unique) which were clustered into 5 categories. Medical jargon (eg, “riding the vent”) was most prevalent (n = 549). There were 217 negative suggestions (eg, “you will feel a stick and a burn”). Hyperboles (eg, “black cloud”) were common (n = 198) while homonyms (ie “he fibbed”) accounted for 150 examples. Phrases such as “code brown in there” were categorized as metonyms (n = 144). 121 metaphors/similes (eg, “rearranging deck chairs on the Titanic”) were provided. Phrases that have the potential to negatively impact critically ill patient perceptions are commonplace in critical care practice. Whether these everyday communication habits lead to an unintended nocebo effect on mental health outcomes of the critically ill deserves further study.

The release of danger signals from tissues in response to trauma during cardiac surgery creates conditions to reprogram the immune system to subsequent challenges posed by pathogens in the postoperative period. To demonstrate this, we tested immunoreactivity before surgery as the baseline (tbaseline), followed by subsequent challenges during the acute phase (t24h), convalescence (t7d), and long-term recovery (t3m). For 108 patients undergoing elective heart surgery, whole blood was stimulated with lipopolysaccharide (LPS), Influenza A virus subtype N2 (H3N2), or the Flublok™ vaccine to represent common pathogenic challenges. Leukocytosis, platelet count, and serum C-reactive protein (CRP) were used to measure non-specific inflammation. Cytokines were measured after 18 h of stimulation to reflect activation of the various cell types (activated neutrophils–IL-8; activated T cells-IL-2, IFNγ, activated monocyte (MO)-TNFα, IL-6, and deactivated or atypically activated MO and/or T cells–M-CSF, IL-10). IL-2 and IL-10 were increased at t7d, while TNFα was suppressed at t24h when LPS was utilized. Interestingly, M-CSF and IL-6 production was elevated at seven days in response to all stimuli compared to baseline. While some non-specific markers of inflammation (white cell count, IL-6, and IL-8) returned to presurgical levels at t3m, CRP and platelet counts remained elevated. We showed that surgical stimulus reprograms leukocyte response to LPS with only partial restoration of non-specific markers of inflammation.