Daily Sepsis Research Analysis
Analyzed 19 papers and selected 3 impactful papers.
Summary
Analyzed 19 papers and selected 3 impactful articles.
Selected Articles
1. Sepsis, atrial fibrillation and mortality risk: an updated systematic review and meta-analysis of >3 million patients.
Across >3.3 million patients, new-onset atrial fibrillation occurred in roughly 1 in 8 septic patients (up to 1 in 5 in ICU) and was associated with higher mortality and ischemic stroke risk. Mortality estimates varied by sepsis definition (ICD-coded vs Sepsis-2/3 vs clinical), underscoring heterogeneity.
Impact: This high-quality, registered meta-analysis provides the most up-to-date, large-scale quantification of NOAF burden and prognostic impact in sepsis, informing surveillance and management strategies.
Clinical Implications: Clinicians should implement vigilant rhythm monitoring in septic patients, particularly in ICU, and consider the elevated thromboembolic and mortality risks when deciding on rate/rhythm control and anticoagulation strategies.
Key Findings
- Pooled NOAF prevalence was 13.27% overall and 21.47% in ICU settings.
- NOAF was associated with higher all-cause mortality (OR 2.22), in-hospital mortality (OR 2.21), and post-discharge mortality (OR 1.32).
- NOAF modestly increased ischemic stroke risk (OR 1.17).
- Mortality risk estimates varied by sepsis definition (ICD code vs Sepsis-2/3 vs clinical criteria).
Methodological Strengths
- PROSPERO-registered systematic review and meta-analysis framework
- Very large aggregated sample size (>3.3 million) with stratification by care setting and sepsis definitions
Limitations
- Heterogeneity across included studies and varying sepsis definitions
- Predominantly observational data susceptible to residual confounding and coding bias
Future Directions: Prospective studies should test targeted AF detection/management protocols in sepsis and clarify anticoagulation risk-benefit, ideally stratified by phenotype and bleeding risk.
OBJECTIVES: To evaluate the new-onset atrial fibrillation (NOAF) prevalence and the overall, in-hospital, post-discharge mortality, and ischemic stroke risk associated with NOAF in septic patients. METHODS: Systematic review and meta-analysis of studies reporting the prevalence and risk of NOAF in patients with sepsis (PROSPERO CRD420261284949). MEDLINE and EMBASE were searched from inception to 31 RESULTS: 15 including 3,323,792 patients were analyzed. The NOAF prevalence was 13.27% (95%CI 8.16-19.4, p<0.001), from 6.74% in ordinary hospitalizations to 21.47% in intensive care units. Sepsis was associated with NOAF risk (OR 3.95, 95%CI 1.53-10.22, p<0.001). NOAF patients had higher all-cause mortality risk (OR 2.22, 95%CI 1.63-3.03, p<0.001), either in-hospital (OR 2.21, 95%CI 2.00-2.45, p<0.001), or post-discharge (OR 1.32, 95%CI 1.12-1.57, p<0.001), and ischemic stroke (OR 1.17, 95%CI 1.09-1.25, p<0.001). Mortality risk varied according to sepsis definition by ICD code (OR 2.13, 95%CI 1.29-3.52, p<0.001), Sepsis-2 (OR 4.52, 95%CI 2.24-9.09, p<0.001), Sepsis-3 (OR 1.64, 95%CI 1.21-2.22, p=0.002) and clinical criteria (OR 2.46, 95%CI 1.17-5.18, p=0.02). CONCLUSIONS: NOAF is a frequent cardiac complication of septic patients and is associated with increased mortality and stroke risk.
2. Development and validation of an algorithm to identify severe sepsis onset from electronic medical records.
A multicenter EMR algorithm combining structured data and unstructured notes detected documentation of infection and thus sepsis time-zero earlier than manual abstraction (mean −0.33 hours). Incorporating clinical notes was pivotal for improving DOI detection.
Impact: Provides a scalable, reproducible method to standardize sepsis time-zero for SEP-1 monitoring and research, reducing manual abstraction burden and variability.
Clinical Implications: Earlier, standardized detection of sepsis onset can streamline quality reporting, enable timely alerts, and support trials requiring precise timing; integration should be accompanied by governance to minimize alert fatigue and ensure explainability.
Key Findings
- Algorithm detected documentation of infection earlier than manual abstractors (mean −0.33 hours; 95% CI −0.55 to −0.11).
- Earlier DOI led to significantly earlier computed time-zero for sepsis.
- Using unstructured clinical notes improved DOI detection compared with structured data alone.
Methodological Strengths
- Multicenter validation against manually abstracted reference standard (n=2030).
- Combined structured EMR data with unstructured note processing to enhance detection.
Limitations
- Single health system in southeast Michigan may limit generalizability.
- Earlier detection reflects documentation timing; no assessment of impact on patient outcomes.
Future Directions: External validation across diverse EMR systems, prospective testing of alerting workflows, and evaluation of downstream clinical outcomes are warranted.
OBJECTIVE: To develop and evaluate an automated algorithm to identify sepsis onset, referred to as time-zero (t MATERIALS AND METHODS: We developed an algorithm to construct a comprehensive timeline of systemic inflammatory response syndrome (SIRS) criteria and organ dysfunction (OD) using structured data, and documentation of infection (DOI) using both structured data and unstructured clinical notes. Algorithm performance was assessed using 2030 manually abstracted adult sepsis cases from a multicenter health system in southeast Michigan. RESULTS: On average, the algorithm DOI time was significantly earlier than abstractors (mean: -0.33 hour, 95% Cl, -0.55 to -0.11), resulting in a significantly earlier t DISCUSSION: Automated approaches to analyzing EMR data offer a scalable framework for SEP-1 monitoring, research, and quality improvement. CONCLUSION: Incorporating unstructured clinical notes improves DOI detection.
3. Extracorporeal circuit temperature gradient and hemodynamic instability during continuous renal replacement therapy: an observational study.
In 42 CRRT patients (79% with sepsis) monitored over 1012 observations, lower extracorporeal circuit temperatures (greater cooling) correlated with higher MAP and CO, lower norepinephrine dose, and reduced risk of hemodynamic instability (HIRRT) in univariate analysis.
Impact: Identifies a readily modifiable CRRT parameter linked to hemodynamic stability, generating actionable hypotheses for protocol optimization in septic AKI.
Clinical Implications: Consider setting extracorporeal circuit temperature below body temperature during CRRT to mitigate hemodynamic instability, while monitoring for adverse effects; randomized trials are needed before standardizing practice.
Key Findings
- Among 42 patients (SOFA 12 [8–15], 79% sepsis), 1012 repeated observations were analyzed over a median of 119 hours (IQR 57–143).
- Decreasing ΔT° (cooling) was associated with higher heart rate, cardiac output, and MAP, and with lower norepinephrine dose.
- Extracorporeal cooling was linked to reduced HIRRT risk in univariate analysis, potentially mediated by improved MAP/CO.
Methodological Strengths
- Prospective design with continuous cardiac index monitoring enabling high-resolution hemodynamic assessment.
- Pre-registered parent study (NCT03139123) and repeated-measures dataset (1012 observations).
Limitations
- Single-center ancillary analysis with small sample size limits external validity.
- Observational associations (univariate for HIRRT) cannot establish causality; residual confounding likely.
Future Directions: Conduct randomized trials comparing circuit temperature targets during CRRT and explore mechanistic pathways linking thermal gradients to vascular tone and autonomic responses.
INTRODUCTION: Lowering extracorporeal circuit temperature (T° METHODS: This ancillary analysis of a prospective, single-center center study (NCT03139123) included patients with stage 3 acute kidney injury, receiving CRRT for <24 h and with continuous cardiac index monitoring. T° RESULTS: 42 patients were enrolled in this ancillary analysis (age 68 [58-76], SOFA 12 [8-15], 79% with sepsis), and were followed over 119 [57-143] hours (N = 1012 observations). Decreasing ΔT° (extracorporeal cooling) was significantly associated with higher heart rate, CO and MAP, lower norepinephrine dose, and was associated with a reduction in HIRRT risk in univariate analysis ( CONCLUSIONS: During CRRT, setting the circuit temperature below body temperature was associated with a reduced HIRRT risk, an effect potentially mediated through improvements in MAP and CO.