Pre-Hospital Lactatemia Predicts 30-Day Mortality in Patients with Septic Shock-Preliminary Results from the LAPHSUS Study

Hierarchical Capability in Distinguishing Severities of Sepsis via Serum Lactate: A Network Meta-Analysis

Background: Blood lactate is a potentially useful biomarker to predict the mortality and severity of sepsis. The purpose of this study is to systematically review the ability of lactate to predict hierarchical sepsis clinical outcomes and distinguish sepsis, severe sepsis and septic shock. Methods: We conducted an exhaustive search of the PubMed, Embase and Cochrane Library databases for studies published before 1 October 2022. Inclusion criteria mandated the presence of case-control, cohort studies and randomized controlled trials that established the association between before-treatment blood lactate levels and the mortality of individuals with sepsis, severe sepsis or septic shock. Data was analyzed using STATA Version 16.0. Results: A total of 127 studies, encompassing 107,445 patients, were ultimately incorporated into our analysis. Meta-analysis of blood lactate levels at varying thresholds revealed a statistically significant elevation in blood lactate levels predicting mortality (OR = 1.57, 95% CI 1.48-1.65, I2 = 92.8%, p < 0.00001). Blood lactate levels were significantly higher in non-survivors compared to survivors in sepsis patients (SMD = 0.77, 95% CI 0.74-0.79, I2 = 83.7%, p = 0.000). The prognostic utility of blood lactate in sepsis mortality was validated through hierarchical summary receiver operating characteristic curve (HSROC) analysis, yielding an area under the curve (AUC) of 0.72 (95% CI 0.68-0.76), accompanied by a summary sensitivity of 0.65 (95% CI 0.59-0.7) and a summary specificity of 0.7 (95% CI 0.64-0.75). Unfortunately, the network meta-analysis could not identify any significant differences in average blood lactate values' assessments among sepsis, severe sepsis and septic shock patients. Conclusions: This meta-analysis demonstrated that high-level blood lactate was associated with a higher risk of sepsis mortality. Lactate has a relatively accurate predictive ability for the mortality risk of sepsis. However, the network analysis found that the levels of blood lactate were not effective in distinguishing between patients with sepsis, severe sepsis and septic shock.

Deubiquitinase BAP1 regulates stability of BRCA1 protein and inactivates the NF-κB signaling to protect mice from sepsis-induced acute kidney injury

Sepsis and its associated organ dysfunction syndrome is a leading cause of death in critically ill patients. Breast cancer susceptibility protein 1 (BRCA1)-associated protein 1 (BAP1) is a potential regulator in immune regulation and inflammatory responses. This study aims to investigate the function of BAP1 in sepsis-induced acute kidney injury (AKI). A mouse model with sepsis-induced AKI was induced by cecal ligation and puncture, and renal tubular epithelial cells (RTECs) were treated with lipopolysaccharide (LPS) to mimic an AKI condition in vitro. BAP1 was significantly poorly expressed in the kidney tissues of model mice and the LPS-treated RTECs. Artificial upregulation of BAP1 ameliorated the pathological changes, tissue injury and inflammatory responses in kidney tissues of the mice, and it reduced the LPS-induced injury and apoptosis of the RTECs. BAP1 was found to interact with BRCA1 and enhance stability of BRCA1 protein through deubiquitination modification. Further downregulation of BRCA1 activated the nuclear factor-kappa B (NF-κB) signaling pathway and blocked the protective roles of BAP1 in sepsis-induced AKI. In conclusion, this study demonstrates that BAP1 protects mice from sepsis-induced AKI through enhancing stability of BRCA1 protein and inactivating the NF-κB signaling.

Admission Lactate Concentration, Base Excess, and Alactic Base Excess Predict the 28-Day Inward Mortality in Shock Patients

Base excess (BE) and lactate concentration may predict mortality in critically ill patients. However, the predictive values of alactic BE (aBE; the sum of BE and lactate), or a combination of BE and lactate are unknown. The study aimed to investigate whether BE, lactate, and aBE measured on admission to ICU may predict the 28-day mortality for patients undergoing any form of shock. In 143 consecutive adults, arterial BE, lactate, and aBE were measured upon ICU admission. Receiver Operating Curve (ROC) characteristics and Cox proportional hazard regression models (adjusted to age, gender, forms of shock, and presence of severe renal failure) were then used to investigate any association between these parameters and 28-day mortality. aBE < −3.63 mmol/L was found to be associated with a hazard ratio of 3.19 (HR; 95% confidence interval (CI): 1.62−6.27) for mortality. Risk of death was higher for BE < −9.5 mmol/L (HR: 4.22; 95% CI: 2.21−8.05), particularly at lactate concentrations > 4.5 mmol/L (HR: 4.62; 95% CI: 2.56−8.33). A 15.71% mortality rate was found for the combined condition of BE > cut-off and lactate < cut-off. When BE was below but lactate above their respective cut-offs, the mortality rate increased to 78.91%. The Cox regression model demonstrated that the predictive values of BE and lactate were mutually independent and additive. The 28-day mortality in shock patients admitted to ICU can be predicted by aBE, but BE and lactate deliver greater prognostic value, particularly when combined. The clinical value of our findings deserves further prospective evaluation.

Point-of-Care Tests' Role in Time Metrics of Urgent Interventions in Emergency Department; a Systematic Review of Literature

INTRODUCTION

Point-of-Care Testing (POCT) could be helpful in clinical decisions, treatment selection, monitoring, prognostication, operational decision-making, and resource utilization. This study aimed to review the role of POCT in time metrics of performing urgent interventions in the emergency department (ED) or disposition time to proper care.

METHODS

This was a systematic review of the literature based on the PRISMA statement. PubMed, Scopus, Web of Science, and EMBASE databases were searched for studies reporting the application of the POCT in the ED with outcomes of the time to intervention or disposition.

RESULTS

After reviewing 3708 articles, 16 studies with 100,224 participants were included in this systematic review. There were 5 randomized clinical trials (RCTs), 5 retrospective cohorts, 2 prospective cohorts, and 4 before-after studies. All studies were performed in an ED setting except for one study of prehospital EMS air medical transport. Different panels, ultrasound, cardiac parameters, echocardiography, and polymerase chain reaction (PCR) POCTs were used in the studies. Regarding the outcome measures, studies with many types of patients referring to ED used different indices of time to intervention or time to disposition. Studies on different shock circumstances used the time to the first bolus of hydration or vasopressor or intravenous antibiotics for septic shock patients and central venous catheterization (CVC) placement time in one study. Time to imaging was considered as the outcome in some studies. Overall, there was a high risk of bias, especially in case of the randomization methods, and non-blinded designs in RCTs. There was lower possibility of bias in non-randomized studies but the studies did not have enough follow-ups and in case of studies using advanced panels of POCT, results do not seem to be easily applicable to public health care in many countries.

CONCLUSION

In synthesis of the evidence, all included studies were reporting the benefits of the POCT in decreasing the time to proper interventions and increasing the time to negative interventions in the last lines of critical care as well as the intubation and CVC placement.

Association between prehospital shock index variation and 28-day mortality among patients with septic shock

PURPOSE

Septic shock (SS) hyperdynamic phase is characterized by tachycardia and low-blood pressure reflecting the relative hypovolemia. Shock index (SI), the ratio between heart rate and systolic blood pressure, is a simple objective tool, usable for SS prognosis assessment. This study aims to evaluate the relationship between prehospital SI variation and 28-day mortality of SS patients initially cared for in prehospital setting by a mobile intensive care unit (mICU).

METHODS

From April 6^th, 2016 to December 31^st, 2020, 406 patients with SS requiring prehospital mICU were retrospectively analyzed. Initial SI, i.e. first measurement after mICU arrival to the scene, and final SI, i.e. last measurement of the prehospital stage, were used to calculate delta SI (initial SI-final SI) and to define positive and negative delta SI. A survival analysis after propensity score matching compared the 28-day mortality of SS patients with positive/negative delta SI.

RESULTS

The main suspected origins of infection were pulmonary (42%), digestive (25%) and urinary (17%). The 28-day overall mortality reached 29%. Cox regression analysis revealed a significant association between 28-day mortality and delta SI. A negative delta SI was associated with an increase in mortality (adjusted hazard ratio (HRa) of 1.88 [1.07-3.31] (p = 0.03)), whereas a positive delta SI was associated with a mortality decrease (HRa = 0.53 [0.30-0.94] (p < 10^-3)).

CONCLUSION

Prehospital hemodynamic delta SI among SS patients cared for by a mICU is associated with 28-day mortality. A negative prehospital delta SI could help physicians to identify SS with higher risk of 28-day mortality.

Carbapenem-resistant Gram-negative pathogens associated with septic shock: a review of 120 cases

This study aimed to evaluate the influencing variables for outcomes in patients with septic shock having culture-proven carbapenem-resistant Gram-negative pathogens. It included 120 patients (mean age 64.29 ± 1.35 years and 58.3% female). The mean Sequential Organ Failure Assessment score during septic shock diagnosis was found to be 11.22 ± 0.43 and 9 ± 0.79 among the patients with mortality and among the survivors, respectively (P = 0.017). The logistic regression analysis showed that empirical treatment as mono Gram-negative bacteria-oriented antibiotic therapy (P = 0.016, odds ratio (OR) = 17.730, 95% confidence interval (CI): 1.728-182.691), Charlson Comorbidity Index >2 (P = 0.032, OR = 7.312, 95% CI: 5.7-18.3), and systemic inflammatory response syndrome score 3 or 4 during septic shock diagnosis (P = 0.014, OR = 5.675, 95% CI: 1.424-22.619) were found as independent risk factors for day 30 mortality. Despite early diagnosis and effective management of patients with septic shock, the mortality rates are quite high in CRGNP-infected patients.

Association between prehospital shock index and mortality among patients with COVID-19 disease

Background

There exists a need for prognostic tools for the early identification of COVID-19 patients requiring intensive care unit (ICU) admission and mortality. Here we investigated the association between a clinical (initial prehospital shock index (SI)) and biological (initial prehospital lactatemia) tool and the ICU admission and 30-day mortality among COVID-19 patients cared for in the prehospital setting.

Methods

We retrospectively analysed COVID-19 patients initially cared for by a Paris Fire Brigade advanced (ALS) or basic life support (BLS) team in the prehospital setting between 2020, March 08th and 2020, May 30th. We assessed the association between prehospital SI and prehospital lactatemia and ICU admission and mortality using logistic regression model analysis after propensity score matching with Inverse Probability Treatment Weighting (IPTW) method. Covariates included in the IPTW propensity analysis were: age, sex, body mass index (BMI), initial respiratory rate (iRR), initial pulse oximetry without (SpO2i) and with oxygen supplementation (SpO2i.O2), initial Glasgow coma scale (GCSi) value, initial prehospital SI and initial prehospital lactatemia.

Results

We analysed 410 consecutive COVID-19 patients [254 males (62%); mean age, 64 ± 18 years].

Fifty-seven patients (14%) deceased on the scene, of whom 41 (72%) were male and were significantly older (71 ± 12 years vs. 64 ± 19 years; P 〈10⁻³).

Fifty-three patients (15%) were admitted in ICU and 39 patients (11%) were deceased on day-30.

The mean prehospital SI value was 1.5 ± 0.4 and the mean prehospital lactatemia was 2.0 ± 1.7 mmol.l⁻¹.

Multivariate logistic regression analysis on matched population after IPTW propensity analysis reported a significant association between ICU admission and age (adjusted Odd-Ratio (aOR), 0.90; 95% confidence interval (95%CI): 0.93–0.98;p = 10⁻³), SpO2i.O2 (aOR, 1.10; 95%CI: 1.02–1.20;p = 0.002) and BMI (aOR, 1.09; 95% CI: 1.03–1.16;p = 0.02). 30-day mortality was significantly associated with SpO2i.O2 (aOR, 0.92; 95% CI: 0.87–0.98;p = 0.01 P < 10⁻³) and GCSi (aOR, 0.90; 95% CI: 0.82–0.99;p = 0.04).

Neither prehospital SI nor prehospital lactatemia were associated with ICU admission and 30-day mortality.

Conclusion

Neither prehospital initial SI nor lactatemia were associated with ICU admission and 30-day mortality among COVID-19 patients initially cared for by a Paris Fire Brigade BLS or ALS team. Further prospective studies are needed to confirm these preliminary results.