Reframing sepsis research through translational integrative models

Journal of Translational Internal Medicine · 2026-02-01

A Framework and Method for Measuring the Implementation of Data Science in Critical Care

Critical Care Explorations · 2026-02-01

BACKGROUND: The implementation of data science concepts, skills, and tools in critical care research and practice faces multiple, complex barriers. METHODS: We developed an implementation science-based framework and method for measuring the adoption, implementation, and sustainment of data science concepts, skills, and tools in critical care-the Society of Critical Care Medicine (SCCM) Discovery Data Science Campaign (DSC) Implementation Research Logic Model (IRLM). Our IRLM specifies constructs for: 1) key determinants (i.e., barriers and facilitators) influencing the implementation of data science concepts, skills, and tools in critical care; 2) implementation strategies deployed by the SCCM Discovery DSC to address these determinants; 3) theorized mechanisms of action by which these strategies affect outcomes; and 4) upstream and downstream implementation outcomes influenced by implementation strategies. RESULTS AND CONCLUSIONS: We believe that our model can facilitate more rigorous measurement of theoretically grounded, empirically assessable factors driving implementation of data science concepts, skills, and tools in critical care.

Longitudinal Changes in Thyroid Hormones and Serum Albumin Following CABG, AVR, and PCI: An Exploratory Electronic Medical Record Study

Medical Sciences · 2026-04-14

BACKGROUND: Surgical trauma disrupts hormone networks, but the duration required for these systems to recover remains unclear. We hypothesize that significant perioperative stress would trigger protracted abnormalities of the thyroid axis extending past 28 days. METHODS: This retrospective exploratory study analyzed opportunistically obtained thyroid-related laboratory values (free T3 [FT3], free T4 [FT4], and thyroid-stimulating hormone [TSH]) and serum albumin from electronic medical records of patients undergoing CABG, AVR, or PCI between 2017 and 2022. Preprocedural baseline values were compared with post-procedural serum levels measured during the acute peri-procedural period (0-30 days), early recovery (31-90 days), intermediate recovery (91-180 days), late recovery (181-365 days), medium-term follow-up (1-2 years), and long-term follow-up (>2 years). RESULTS: Free T3 demonstrated early suppression across all procedures, most pronounced in CABG during the acute peri-procedural period, with partial recovery at later timepoints. AVR showed moderate suppression at early and long-term follow-up, while PCI demonstrated minimal and inconsistent changes. Free T4 remained relatively stable across procedures, with limited significant post hoc differences after adjustment. TSH showed significant temporal variability in CABG and AVR but not in PCI. Serum albumin demonstrated marked early decline, most pronounced in CABG, with partial recovery over time, whereas AVR showed delayed long-term suppression. Data availability declined substantially at later timepoints across all biomarkers. CONCLUSIONS: In this retrospective exploratory analysis, CABG was associated with the most pronounced early perturbations in thyroid and albumin trajectories, while PCI and AVR demonstrated more heterogeneous temporal patterns. These findings are hypothesis-generating and should be interpreted cautiously given non-protocolized laboratory follow-up, substantial missingness, and potential selection bias.

The Utility of Automated, Data-Driven Clinical Support in Telemedicine for Critical Illness: A Survey-Based Study

Critical Care Explorations · 2026-02-25

A growing number of data-driven clinical decision support (CDS) tools are incorporated into tele-critical care, but the clinician perceptions of their utility are largely unknown. The objective of this web-based survey study was to understand the perceived utility of data-driven CDS in tele-critical care. The survey had 158 respondents (1.1% response rate), with 51.3% stating they currently use a data-driven CDS tool. Of those who responded about the impact of data-driven CDS, most (62.0%) reported a meaningful impact on workup, evidence-based care, or patient outcomes. Survey participants found CDS most useful if they or their colleagues had positive experiences with it, especially if it was responsible for improved patient outcomes. Thus, data-driven CDS is perceived useful for tele-critical care services.

Guiding Principles for Data Sharing and Harmonization: Results of a Systematic Review and Modified Delphi From the Society of Critical Care Medicine Data Science Campaign.

UNC Libraries · 2026-02-22

OBJECTIVES: This study aimed to establish a set of guiding principles for data sharing and harmonization in critical care, focusing on the use of real-world data (RWD) and real-world evidence (RWE) to improve patient outcomes and research efficacy. The principles were developed through a systematic literature review and a modified Delphi process, with the goal of enhancing data accessibility, standardization, and interoperability across critical care settings. DATA SOURCES: Data sources included a comprehensive search of peer-reviewed literature, specifically studies related to the use of RWD and RWE in healthcare, guidelines, best practices, and recommendations on data sharing and harmonization. A total of 8150 articles were initially identified through databases such as MEDLINE and Web of Science, with 257 studies meeting inclusion criteria. STUDY SELECTION: Inclusion criteria focused on publications discussing health-related informatics, recommendations for RWD/RWE usage, data sharing, and harmonization principles. Exclusion criteria ruled out non-human studies, case studies, conference abstracts, and articles published before 2013, as well as those not available in English. DATA EXTRACTION: From the 257 selected studies, 322 statements were extracted. After removing irrelevant definitions and off-topic content, 232 statements underwent content validation and thematic analysis. These statements were then consolidated into 24 candidate guiding principles after rigorous review and consensus-building among the expert panel. DATA SYNTHESIS: A three-phase modified Delphi process was employed, involving a conceptualization group, a review group, and a Delphi group. In phase 1, experts identified key themes and search terms for the systematic review. Phase 2 involved validating and refining the prospective guiding principles, while phase 3 employed a Delphi panel to rate principles on acceptability, importance, and feasibility. This process resulted in 24 guiding principles, with high consensus achieved in rounds 2 and 3 on their relevance and applicability. CONCLUSIONS: The systematic review and Delphi process resulted in 24 guiding principles to improve data sharing and harmonization in critical care. These principles address challenges across the data lifecycle, including generation, storage, access, and usage of RWD and RWE. This framework is designed to promote more effective and equitable data practices, with relevance for the development of artificial intelligence-based decision support tools and clinical research. The principles are intended to guide the responsible use of data science in critical care, with emphasis on ethics and equity, while acknowledging the variability of resources across settings.

Assessment of Survival and the Decision to Engage in Palliative Care when Facing a Defeat in the ICU

Medical Decision Making · 2026-04-24

BackgroundMedical providers often face challenges in accurately predicting the survival of critically sick patients. Optimistic forecasts can lead to the overuse of resources, while overly cautious predictions might restrict treatments. This study examines the role of specific psychological factors, analyzed realistically and holistically, in predicting survival outcomes for intensive care unit patients.MethodsThis single-center cohort study evaluated health care providers (e.g., physicians, residents and fellows, and advanced practice practitioners) using two 7-d clinical vignettes. Providers assessed the need for mechanical ventilation (MV), renal replacement therapy (RRT), a percutaneous endoscopic gastrostomy (PEG) tube, or palliative care. Psychological factors were measured using scales that assessed ambiguity tolerance, rationality versus emotional defensiveness, anxiety related to uncertainty, decision-making style, and risk taking. These psychological traits were analyzed using a more realistic and holistic approach, employing cluster techniques. Providers also determined whether they had enough information to evaluate the patient's condition and compared their survival estimates to APACHE II scores.ResultsIn general, engagement in MV and RRT was common by day 2, although physicians were significantly less likely to recommend RRT. Providers generally suggested starting a palliative care consultation by day 6, with a noticeable shift on day 4. Three distinct composite psychological groups emerged: optimistic denial individuals (ODI), optimistic providers (OP), and resilient providers (RP). While these composite psychological groups did not significantly influence engagement in mechanical therapies, they did affect palliative care decisions: RP were more likely to request palliative care, whereas ODI were much less likely to do so. In contrast, individual psychological traits had nonsignificant correlations with the decision to use therapies. Providers initially overestimated survival probabilities during the first 3 d compared with APACHE II survival estimates. However, after day 4, this trend reversed, with providers becoming significantly more pessimistic versus the predictive score and increasingly requesting palliative care involvement.ConclusionsProviders' psychological profiles, rather than their clinical experience, significantly influenced decisions about organ-support therapies and palliative care. Survival estimates showed a biphasic pattern: initially, providers overestimated survival compared with APACHE II predictions, then became more pessimistic and more likely to consult palliative care after day 4.HighlightsIntensive care unit survival predictions by providers followed a biphasic pattern: optimistic early on, then increasingly pessimistic after day 4.Psychological traits such as denial and ambiguity tolerance influenced palliative care decisions more than clinical experience did.Resilient providers were more likely to initiate timely palliative care, while denial-prone providers delayed it.Clinicians and critical care teams should be aware of how their psychological makeup can affect patient care decisions and outcomes.

Volatile Anesthetics: A Comprehensive Review of Pharmacology, Delivery Systems, and Safety Considerations for ICU Practitioners

Critical Care Medicine · 2026-01-16 · 3 citations

OBJECTIVE: Volatile anesthetics (VAs) are gaining renewed interest as a sedation strategy in the intensive care, offering an alternative to traditional IV agents. VAs provide several pharmacologic advantages, including rapid onset and offset, minimal systemic metabolism, and favorable recovery profiles. Advances in delivery systems enabled the safe and practical administration of volatile agents in the ICU. Thus, we aimed to describe the pharmacology and safety aspects of inhaled agents as well as the systems designed to deliver VAs in the ICU. DATA SOURCES: Relevant literature was identified through PubMed and MEDLINE databases. STUDY SELECTION: Original research, review articles, commentaries, and guidelines addressing safety, efficacy, and use of VAs in adult ICU patients were included. DATA EXTRACTION: Studies were reviewed by the authors, with key findings summarized and organized by pharmacologic properties, delivery systems, and safety domains. DATA SYNTHESIS: VAs are halogenated hydrocarbons whose mechanism of action is not fully understood. Although the CNS is the primary site of action, the end-tidal concentration of exhaled anesthetic is used to monitor clinical effects such as immobility to a noxious stimulus. Inhaled agents have unique pharmacokinetics, minimal metabolisms, and distinct recovery. The side effect profile is also unique, with malignant hyperthermia being the most feared, yet rare complication. Two systems for inhalational sedation delivery are available internationally, with one currently under evaluation in the United States. The systems are composed of a miniature vaporizer, delivery controller, and a monitor. The systems have distinct safety considerations, such as tidal volume limits. CONCLUSIONS: VAs can be used as sedative agents in the ICU. This article comprehensively reviews the pharmacology of VAs along with their safety profile and describes the structure and function of miniature vaporizers currently available on the world market.

Assessment of Structured Tele-Critical Care Training and Its Impact on Clinician's Perceptions of Delivery of Care: A Survey-Based Pilot Study

Critical Care Explorations · 2025-12-29

OBJECTIVES: Current research does not address the existence and impact of structured tele-critical care (TCC) training on the delivery of care in the ICU. This pilot study aimed to evaluate the association between on boarding elements focused on training and clinicians perceptions of delivery of care. DESIGN: Cross-sectional survey study. SETTING AND PARTICIPANTS: Critical Care professionals at four U.S. hospitals, professional meetings and Society of Critical Care Medicine's International Membership base. Participants were active clinicians who practice in the TCC setting. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 432 participants responded to the survey, 227 met the eligibility criteria (52.5%) and were included in the analysis. Respondents were a multi-professional group of TCC clinicians aged between 35-55 years of age (56.4%). Seventy-four percent of respondents reported having orientation before providing TCC, 46% reported having formal mentorship, and 66% reported formal training on their institutional platform. Provision of orientation before participating in a TCC program was associated with higher ratings of feeling prepared (odds ratio [OR], 3.52; p < 0.001) and feeling accepted as part of the ICU team (OR, 2.21; p = 0.008). Mentorship was associated with feeling more prepared (OR, 8.2; p < 0.001) and higher comfort in delivering care (OR, 2.78; p = 0.016). Platform training was associated with feeling more prepared (OR, 4.66; p < 0.001), comfortable in delivering care (OR, 3.6; p = 0.002), feeling accepted as part of the team (OR, 3.18; p < 0.001), and more likely to participate in quality improvement (OR, 2.51; p = 0.001). A site visit also made a positive impact in feeling prepared (OR, 2.86; p < 0.001), comfortable (OR, 4.95; p = 0.002), feeling like recommendations were accepted (OR, 3.73; p < 0.001), more likely to recommend TCC (OR, 3.18; p = 0.001), and participating in quality improvement (OR, 3.24; p < 0.001). CONCLUSIONS: In this pilot study, structured training utilizing orientation, mentorship, and platform training as surrogates, along with a site visit before beginning delivery of care in a TCC setting, were associated with more positive perceptions in the delivery of care domains assessed. We highlight potentially important factors that warrant further evaluation and assessment of the need for standardization across TCC programs.

Heterogeneity of the Immunological and Pathogenic Profiles in Patients Hospitalize Early Versus Late During an Acute Vital Illness as Shown in Native SARS-CoV-2 Infection

International Journal of Molecular Sciences · 2025-03-06

The immune system's response to an invading pathogen is the critical determinant in recovery from illness. Here, we hypothesize that the immune response will swiftly follow classical activation and a resolution trajectory in patients with the rapid evolution of symptoms if challenged by a viral pathogen for the first time. Alternatively, a dysregulated response will be signified by a protracted clinical trajectory. Consequently, we enrolled 106 patients during the first wave of COVID-19 and collected their blood within 24 h, 48 h, 7 days, and over 28 days from symptoms onset. The pathogenic burden was measured via serum levels of the S-spike protein and specific immunoglobulin titers against the S and N proteins of SARS-CoV-2. The nonspecific immunological response was gauged using interleukin 6, leukocytosis, and C-reactive protein. Coagulation status was assessed. Several serum biomarkers were used as surrogates of clinical outcomes. We identified four clusters depending on the onset of symptoms (immediate [A], 6 days [B], 12 days [C], and over 21 days [D]). High variability in the S-spike protein in cluster A was present. The corresponding immunoglobulin titer was random. Only procalcitonin differentiated clusters in terms of markers of nonspecific inflammation. Coagulation markers were not significantly different between clusters. Serum surrogates on cardiomyopathy and neuronal pathology exhibited significant variability. Implementation of ECMO or noninvasive ventilation was more prominent in cluster C and D. Interestingly, SOFA or APACHE II scores were not different between nominal (A and B) versus dysregulated clusters (C and D).

Guiding Principles for Data Sharing and Harmonization: Results of a Systematic Review and Modified Delphi From the Society of Critical Care Medicine Data Science Campaign.

Open MIND · 2025-01-01

OBJECTIVES: This study aimed to establish a set of guiding principles for data sharing and harmonization in critical care, focusing on the use of real-world data (RWD) and real-world evidence (RWE) to improve patient outcomes and research efficacy. The principles were developed through a systematic literature review and a modified Delphi process, with the goal of enhancing data accessibility, standardization, and interoperability across critical care settings. DATA SOURCES: Data sources included a comprehensive search of peer-reviewed literature, specifically studies related to the use of RWD and RWE in healthcare, guidelines, best practices, and recommendations on data sharing and harmonization. A total of 8150 articles were initially identified through databases such as MEDLINE and Web of Science, with 257 studies meeting inclusion criteria. STUDY SELECTION: Inclusion criteria focused on publications discussing health-related informatics, recommendations for RWD/RWE usage, data sharing, and harmonization principles. Exclusion criteria ruled out non-human studies, case studies, conference abstracts, and articles published before 2013, as well as those not available in English. DATA EXTRACTION: From the 257 selected studies, 322 statements were extracted. After removing irrelevant definitions and off-topic content, 232 statements underwent content validation and thematic analysis. These statements were then consolidated into 24 candidate guiding principles after rigorous review and consensus-building among the expert panel. DATA SYNTHESIS: A three-phase modified Delphi process was employed, involving a conceptualization group, a review group, and a Delphi group. In phase 1, experts identified key themes and search terms for the systematic review. Phase 2 involved validating and refining the prospective guiding principles, while phase 3 employed a Delphi panel to rate principles on acceptability, importance, and feasibility. This process resulted in 24 guiding principles, with high consensus achieved in rounds 2 and 3 on their relevance and applicability. CONCLUSIONS: The systematic review and Delphi process resulted in 24 guiding principles to improve data sharing and harmonization in critical care. These principles address challenges across the data lifecycle, including generation, storage, access, and usage of RWD and RWE. This framework is designed to promote more effective and equitable data practices, with relevance for the development of artificial intelligence-based decision support tools and clinical research. The principles are intended to guide the responsible use of data science in critical care, with emphasis on ethics and equity, while acknowledging the variability of resources across settings.