Lactate ≥2 mmol/L plus qSOFA improves utility over qSOFA alone in emergency department patients presenting with suspected sepsis

Lactate-enhanced-qSOFA (LqSOFA) score as a predictor of in-hospital mortality in patients with sepsis: systematic review and meta-analysis

INTRODUCTION

Sepsis is a systemic process that refers to a deregulated immune response of the host against an infectious agent, involving multiple organ dysfunction. It is rapidly progressive and has a dismal prognosis, with high mortality rates. For this reason, it is necessary to have a tool for early recognition of these patients, with the aim of treating them appropriately in a timely manner.

METHODS

This research is a systematic review based on bibliography indexed in four online scientific databases for studies published since inception to February 2024, which was obtained through the use of a search strategy. Eight studies were identified for quantitative analysis and included in our meta-analysis.

RESULTS

The meta-analysis revealed that among 23,551 patients diagnosed with sepsis, 5,825 had a positive LqSOFA, and 3,086 experienced the primary outcome (mortality). For LqSOFA, a sensitivity of 0.61 (95% CI 0.60-0.63), specificity of 0.81 (95% CI 0.80-0.81), positive likelihood ratio (LR+) of 3.46 (95% CI 2.86-4.18), negative likelihood ratio (LR-) of 0.47 (95% CI 0.38-0.59), and odds ratio (OR) of 7.43 (95% CI 6.01-9.20) were determined. The area under the curve (AUC) was 0.807.

CONCLUSIONS

The LqSOFA score demonstrates a good predictive capacity for in-hospital mortality in septic patients, showing clinically significant levels of sensitivity (69%) and specificity (79%).

Prehospital lactate analysis in suspected sepsis improves detection of patients with increased mortality risk: an observational study

BACKGROUND

Rapid, adequate treatment is crucial to reduce mortality in sepsis. Risk stratification scores used at emergency departments (ED) are limited in detecting all septic patients with increased mortality risk. We assessed whether the addition of prehospital lactate analysis to clinical risk stratification tools improves detection of patients with increased risk for rapid deterioration and death in sepsis.

METHODS

A10-month observational study with consecutive, prospective prehospital inclusion of adult patients with suspected sepsis. Prehospital lactate was used as a continuous variable and in intervals. Analyses of patient subgroups with high and lower priorities according to Rapid Emergency Triage and Treatment System (RETTS) and National Early Warning Score 2 (NEWS2) were performed. Primary outcome was 30-day mortality, secondary outcomes were sepsis at the ED and in-hospital mortality.

RESULTS

In all, 714 patients were included with a 30-day mortality of 10%. Among the 322 cases (45%) fulfilling Sepsis-3 criteria, the 30-day mortality was 14%. Prehospital lactate was higher among non-survivors (2.6 vs 2.0 mmol/L, p < 0.001). Mortality at different lactate intervals were: 6.7%, at 0-2 mmol/l; 10.0% at > 2-3 mmol/l; 19.2% at > 3-4 mmol/l; and 17.0% at levels > 4 mmol/l. The highest RETTS priority (red) group had higher lactate levels than the lower (non-red) priority group (2.5 vs 1.9 mmol/L, p < 0.001). In the non-red group, prehospital lactate was higher among non-survivors (2.4 vs 1.8 mmol/L, p = 0.002). In the multivariable regression analysis, prehospital lactate > 3 mmol/l was a predictor of 30-day mortality (OR 2.20, p = 0.009) This association was even stronger in the lower priority RETTS non-red group (OR 3.02, p = 0.009). Adding prehospital lactate > 3 mmol/l increased identification of non-survivors from 48 to 68% in the RETTS red group and from 77 to 85% for the NEWS2 ≥ 7 group.

CONCLUSION

The addition of a prehospital lactate level > 3 mmol/l improved early recognition of individuals with increased mortality risk in a cohort with suspected sepsis admitted to the ED. This was particularly evident in patients whose risk stratification scores did not indicate severe illness. We suggest that the addition of prehospital lactate analysis could improve recognition of subjects with suspected sepsis and increased mortality risk.

Sepsis death risk factor score based on systemic inflammatory response syndrome, quick sequential organ failure assessment, and comorbidities

OBJECTIVE

In this study, we aimed to evaluate the death risk factors of patients included in the sepsis protocol bundle, using clinical data from qSOFA, SIRS, and comorbidities, as well as development of a mortality risk score.

DESIGN

This retrospective cohort study was conducted between 2016 and 2021.

SETTING

Two university hospitals in Brazil.

PARTICIPANTS

Patients with sepsis.

INTERVENTIONS

Several clinical and laboratory data were collected focused on SIRS, qSOFA, and comorbidities.

MAIN VARIABLE OF INTEREST

In-hospital mortality was the primary outcome variable. A mortality risk score was developed after logistic regression analysis.

RESULTS

A total of 1,808 patients were included with a death rate of 36%. Ten variables remained independent factors related to death in multivariate analysis: temperature ≥38 °C (odds ratio [OR] = 0.65), previous sepsis (OR = 1.42), qSOFA ≥ 2 (OR = 1.43), leukocytes >12,000 or <4,000 cells/mm3 (OR = 1.61), encephalic vascular accident (OR = 1.88), age >60 years (OR = 1.93), cancer (OR = 2.2), length of hospital stay before sepsis >7 days (OR = 2.22,), dialysis (OR = 2.51), and cirrhosis (OR = 3.97). Considering the equation of the binary regression logistic analysis, the score presented an area under curve of 0.668, is not a potential model for death prediction.

CONCLUSIONS

Several risk factors are independently associated with mortality, allowing the development of a prediction score based on qSOFA, SIRS, and comorbidities data, however, the performance of this score is low.

Prognostic evaluation of quick sequential organ failure assessment score in ICU patients with sepsis across different income settings

BACKGROUND

There is conflicting evidence on association between quick sequential organ failure assessment (qSOFA) and sepsis mortality in ICU patients. The primary aim of this study was to determine the association between qSOFA and 28-day mortality in ICU patients admitted for sepsis. Association of qSOFA with early (3-day), medium (28-day), late (90-day) mortality was assessed in low and lower middle income (LLMIC), upper middle income (UMIC) and high income (HIC) countries/regions.

METHODS

This was a secondary analysis of the MOSAICS II study, an international prospective observational study on sepsis epidemiology in Asian ICUs. Associations between qSOFA at ICU admission and mortality were separately assessed in LLMIC, UMIC and HIC countries/regions. Modified Poisson regression was used to determine the adjusted relative risk (RR) of qSOFA score on mortality at 28 days with adjustments for confounders identified in the MOSAICS II study.

RESULTS

Among the MOSAICS II study cohort of 4980 patients, 4826 patients from 343 ICUs and 22 countries were included in this secondary analysis. Higher qSOFA was associated with increasing 28-day mortality, but this was only observed in LLMIC (p < 0.001) and UMIC (p < 0.001) and not HIC (p = 0.220) countries/regions. Similarly, higher 90-day mortality was associated with increased qSOFA in LLMIC (p < 0.001) and UMIC (p < 0.001) only. In contrast, higher 3-day mortality with increasing qSOFA score was observed across all income countries/regions (p < 0.001). Multivariate analysis showed that qSOFA remained associated with 28-day mortality (adjusted RR 1.09 (1.00-1.18), p = 0.038) even after adjustments for covariates including APACHE II, SOFA, income country/region and administration of antibiotics within 3 h.

CONCLUSIONS

qSOFA was independently associated with 28-day mortality in ICU patients admitted for sepsis. In LLMIC and UMIC countries/regions, qSOFA was associated with early to late mortality but only early mortality in HIC countries/regions.

Sepsis triggers and tools to support early identification in healthcare settings: An integrative review

BACKGROUND

There is no universal trigger or tool to aid sepsis diagnosis.

OBJECTIVES

The objective of this study was to identify triggers and tools to assist the early detection of sepsis that can be readily implemented across various health care settings.

METHODS

A systematic integrative review was conducted using MEDLINE, CINAHL, EMBASE, Scopus, and the Cochrane Database of Systematic Reviews. Relevant grey literature and subject-matter expert consultation also informed the review. Study types included systematic reviews, randomised controlled trials, and cohort studies. All patient populations across prehospital, emergency department, and acute hospital inpatient settings, excluding the intensive care unit, were included. Sepsis triggers and tools were evaluated for efficacy in detecting sepsis and association with process measures and patient outcomes. Methodological quality was appraised using Joanna Briggs Institute tools.

RESULTS

Of the 124 included studies, most were retrospective cohort (49.2%) in adults (83.9%) within the emergency department (44.4%). The most commonly evaluated sepsis tools were qSOFA (12 studies) and SIRS (11 studies) with a median sensitivity of 28.0% versus 51.0% and a specificity of 98.0% versus 82.0%, respectively, for sepsis diagnosis. Lactate plus qSOFA (two studies) had a sensitivity between 57.0 and 65.5%, whereas the National Early Warning Score (four studies) demonstrated median sensitivity and specificity >80%, but the latter was considered difficult to implement. Amongst triggers, lactate (18 studies) at the threshold of ≥2.0 mmol/L showed higher sensitivity for predicting sepsis-related clinical deterioration than <2.0 mmol/L. Automated sepsis alerts and algorithms (35 studies) showed median sensitivity between 58.0 and 80.0% and specificity between 60.0 and 93.1%. There were limited data for other sepsis tools and maternal, paediatric, and neonatal populations. Overall methodological quality was high.

CONCLUSION

No single sepsis tool or trigger is applicable across various settings and populations, but considering efficacy and ease of implementation, there is evidence to use lactate plus qSOFA for adult patients. More research is needed in maternal, paediatric, and neonatal populations.

Systemic immune-inflammation index combined with quick sequential organ failure assessment score for predicting mortality in sepsis patients

Objective

To evaluate the prognostic ability of systemic immune-inflammation index (SII) combine with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28-day mortality of sepsis.

Methods

A retrospective cohort study was conducted, with the population comprised in whom sepsis was confirmed. Clinical and laboratory data recorded were analyzed. The score of Sequential Organ Failure Assessment (SOFA), SII, qSOFA were calculated. Multivariable regression, receiver operating characteristic (ROC) analysis and Kaplan-Meier method were used to identify and compared the predictors of prognosis among SOFA, qSOFA, and the combination of SII with qSOFA.

Results

A total of 349 patients admitted from December 2020 and December 2022 were included in the cohort. 95 (27.2%) of whom had died by day 28. The SII, SOFA, and qSOFA scores were significant higher in the non-survivors than that of survivors (P < 0.05), and identified as independent predictors of sepsis mortality. The addition of SII to qSOFA shown an area under receiver operator characteristic (AUROC) of 0.840 (95% CI: 0.787-0.884), manifested an effective ability in predicting poor outcome than other scoring systems. The optimum cutoff for SII (>1.7668) and qSOFA (>1) represented a high risk level in 28-day mortality of sepsis, were performed and identified in Kaplan-Meier survival curves (log-rank test, HR: 6.942, 95% CI: 3.976-12.121; P < 0.0001).

Conclusion

The SII in addition to qSOFA provided an effective prognostic tool for predicting mortality in sepsis.

Association between timing and adequacy of antibiotics and adverse outcomes in patients with sepsis and septic shock: A multicentre retrospective cohort study

OBJECTIVES

To investigate the association between the timing and adequacy of antibiotics administered to patients presenting with culture-positive sepsis and septic shock to the ED and in-hospital mortality and/or intensive care unit (ICU) admission.

METHODS

Multicentre retrospective cohort study of ED presentations at four metropolitan hospitals in Sydney, Australia between January 2017 and November 2019. Encounters for patients aged ≥16 years meeting specified criteria for sepsis or septic shock with antibiotic administration within the first 6 h of presentation were included.

RESULTS

Of 7611 encounters included in the study, 2328 (31%) were culture positive, and 2228 (29%) met the criteria for septic shock. In culture-positive sepsis encounters, partial or inadequate antibiotic coverage was associated with higher risk of death or ICU admission (adjusted odds ratio [AOR] 1.50, 95% confidence interval [CI] 1.04-2.06 and 1.95, 95% CI 1.28-2.99, respectively). This effect was not significant in septic shock encounters (AOR 1.10, 95% CI 0.64-1.88) with partial coverage and (AOR 1.63, 95% CI 0.81-3.3) inadequate coverage. Time to antibiotics was not significantly associated with the risk of mortality/ICU admission. This inference remained the same when analysis was restricted to cases with adequate antibiotic coverage.

CONCLUSIONS

In a large multicentre sample of patients with culture-positive sepsis, inadequacy of antibiotics was associated with higher risk of in-hospital mortality or ICU admission.

Blood Lactate Level and the Predictor of Death in Non-shock Septic Patients

Objective

To evaluate the association of initial blood lactate with mortality and subsequent septic shock in non-shock septic patients.

Materials and methods

A retrospective cohort study was conducted at Maharaj Nakorn Chiang Mai Hospital, Chiang Mai University, Muang, Chiang Mai, Thailand. Inclusion criteria included septic patients admitted to a non-critical medical ward and had initial serum lactate at the emergency department (ED). Shock and other causes of hyperlactatemia were excluded.

Results

A total of 448 admissions were included with median age [interquartile range (IQR)] of 71 (59, 87) years and 200 males (44.6%). Pneumonia was the most common cause of sepsis (47.5%). The median systemic inflammatory response syndrome (SIRS) and quick sequential organ failure assessment (qSOFA) scores were 3 (2, 3) and 1 (1, 2), respectively. The median initial blood lactate was 2.19 (1.45, 3.23) mmol/L. The high blood lactate (≥2 mmol/L) group; N = 248, had higher qSOFA and other predictive scores and had significantly higher 28 days mortality (31.9% vs 10.0%; p < 0.001) and subsequent 3 days septic shock (18.1% vs 5.0%; p < 0.001) than the normal blood lactate group; N = 200. A combination of blood lactate above or equal to 2 mmol/L plus the national early warning score (NEWS) above or equal to 7 showed the highest prediction of 28 days mortality with the area under receiver-operating characteristic curve (AUROC) of 0.70 [95% confidence interval (CI): 0.65-0.75].

Conclusions

An initial blood lactate level above or equal to 2 mmol/L is associated with high mortality and subsequent septic shock among non-shock septic patients. The composite of blood lactate levels and other predictive scores yields better accuracy to predict mortality.

How to cite this article

Noparatkailas N, Inchai J, Deesomchok A. Blood Lactate Level and the Predictor of Death in Non-shock Septic Patients. Indian J Crit Care Med 2023;27(2):93-100.

Prognostic accuracy of using lactate in addition to the quick Sequential Organ Failure Assessment score and the National Early Warning Score for emergency department patients with suspected infection

BACKGROUND

The aim of this study was to determine whether: (1) the quick Sequential (Sepsis-related) Organ Failure Assessment (qSOFA) and National Early Warning Score (NEWS) clinical prediction tools alone, (2) modified versions of these prediction tools that integrate lactate into their scores, or (3) use of the two tools in tandem with lactate better predicts in-hospital 28-day mortality among adult EDpatients with suspected infection.

METHODS

From 1 January through 31 December 2018, this retrospective cohort study enrolled consecutive adult patients with suspected infection evaluated at two EDs in France. Patients were included if blood cultures were obtained and non-prophylactic antibiotics were administered in the ED. qSOFA, NEWS criteria and lactate measurements were recorded when patients were clinically suspected of having an infection. Two composite scores (lactate qSOFA (LqSOFA) and lactate NEWS (LNEWS)) integrating lactate were created. Diagnostic test performances for predicting in-hospital mortality within 28days were assessed for qSOFA≥2, LqSOFA≥2, qSOFA≥2 or lactate≥2 mmol/L, and for NEWS≥7, LNEWS≥7, and NEWS≥7 or lactate≥2 mmol/L.

RESULTS

1003 patients were included, 130 (13%) of whom had died by day 28. Sensitivities for 28-day mortality were 50% (95%CI41% to 59%) for qSOFA≥2,69% (95% CI60% to 77%) for LqSOFA≥2,77% (95% CI69% to 84%) for qSOFA or lactate≥2 mmol/L; and 69% (95% CI60% to 77%) for NEWS≥7, 80% (95% CI72% to 86%) for LNEWS≥7, 87% (95% CI80% to 92%) for NEWS≥7 or lactate≥2 mmol/L.

CONCLUSION

Lactate used in tandem with qSOFA or NEWS yielded higher sensitivities in predicting in-hospital 28-day mortality, as compared with integration of lactate into these prediction tools or usage of the tools independently.

Does lactate enhance the prognostic accuracy of the quick Sequential Organ Failure Assessment for adult patients with sepsis? A systematic review

OBJECTIVES

To investigate whether adding lactate to the quick Sequential (sepsis-related) Organ Failure Assessment (qSOFA) improves the prediction of mortality in adult hospital patients, compared with qSOFA alone.

DESIGN

Systematic review in accordance with Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies guidelines.

DATA SOURCES

Embase, Medline, PubMed, SCOPUS, Web of Science, CINAHL and Open Grey databases were searched in November 2020.

ELIGIBILITY CRITERIA

Original research studies published after 2016 comparing qSOFA in combination with lactate (LqSOFA) with qSOFA alone in adult patients with sepsis in hospital. The language was restricted to English.

DATA EXTRACTION AND SYNTHESIS

Title and abstract screening, full-text screening, data extraction and quality assessment (using Quality Assessment of Diagnostic Accuracy Studies-2) were conducted independently by two reviewers. Extracted data were collected into tables and diagnostic test accuracy was compared between the two tests.

RESULTS

We identified 1621 studies, of which 11 met our inclusion criteria. Overall, there was a low risk of bias across all studies. The area under the receiver operating characteristic (AUROC) curve for qSOFA was improved by the addition of lactate in 9 of the 10 studies reporting it. Sensitivity was increased in three of seven studies that reported it. Specificity was increased in four of seven studies that reported it. Of the six studies set exclusively within the emergency department, five published AUROCs, all of which reported an increase following the addition of lactate. Sensitivity and specificity results varied throughout the included studies. Due to insufficient data and heterogeneity of studies, a meta-analysis was not performed.

CONCLUSIONS

LqSOFA is an effective tool for identifying mortality risk both in adult inpatients with sepsis and those in the emergency department. LqSOFA increases AUROC over qSOFA alone, particularly within the emergency department. However, further original research is required to provide a stronger base of evidence in lactate measurement timing, as well as prospective trials to strengthen evidence and reduce bias.

PROSPERO REGISTRATION NUMBER

CRD42020207648.

Enhanced bedside mortality prediction combining point-of-care lactate and the quick Sequential Organ Failure Assessment (qSOFA) score in patients hospitalised with suspected infection in southeast Asia: a cohort study

BACKGROUND

Simple, bedside prediction of infection-related mortality in low-resource settings is crucial for triage and resource-utilisation decisions. We aimed to evaluate mortality prediction by combining point-of-care venous lactate with the quick Sequential Organ Failure Assessment (qSOFA) score in adult patients admitted to hospital with suspected infection in southeast Asia.

METHODS

We performed a cohort study by prospectively enrolling patients aged 18 years or older who had been admitted to hospital within the previous 24 h for suspected infection (with at least three documented systemic manifestations of infection according to the 2012 Surviving Sepsis Campaign) at Sunpasitthiprasong Hospital in Ubon Ratchathani, Thailand (derivation cohort). Venous lactate concentration was determined by a point-of-care device and multiple scores were developed. We then evaluated candidate 28-day mortality prediction models combining qSOFA and the lactate scores. A final model was compared with the qSOFA score, a lactate score, and a modified Sequential Organ Failure Assessment (SOFA) score for mortality discrimination using the area under the receiver operating characteristic curve (AUROC). Mortality discrimination of the qSOFA-lactate score was then verified in an external, prospectively enrolled, multinational cohort in southeast Asia.

FINDINGS

Between March 1, 2013, and Jan 26, 2017, 5001 patients were enrolled in the derivation cohort; 4980 had point-of-care lactate data available and were eligible for analysis, and 816 died within 28 days of enrolment. The discrimination for 28-day mortality prediction of a qSOFA-lactate score combining the qSOFA score and a lactate score was superior to that of the qSOFA score alone (AUROC 0·78 [95% CI 0·76-0·80] vs 0·68 [0·67-0·70]; p<0·0001) and similar to a modified SOFA score (0·77 [0·75-0·78]; p=0·088). A lactate score alone had superior discrimination compared with the qSOFA score (AUROC 0·76 [95% CI 0·74-0·78]; p<0·0001). 815 patients were enrolled in the external validation cohort and 792 had point-of-care lactate data and were included in the analysis; the qSOFA-lactate score (AUROC 0·77 [95% CI 0·73-0·82]) showed significantly improved 28-day mortality discrimination compared with the qSOFA score alone (0·69 [0·63-0·74]; p<0·0001).

INTERPRETATION

In southeast Asia, rapid, bedside assessments based on point-of-care lactate concentration combined with the qSOFA score can identify patients at risk of sepsis-related mortality with greater accuracy than the qSOFA score alone, and with similar accuracy to a modified SOFA score.

FUNDING

National Institutes of Health, Wellcome Trust.

Identifying factors associated with intravenous fluid administration in patients with sepsis presenting to the emergency department: a retrospective cohort study

Background

Appropriate and timely administration of intravenous fluids to patients with sepsis-induced hypotension is one of the mainstays of sepsis management in the emergency department (ED), however, fluid resuscitation remains an ongoing challenge in ED. Our study has been undertaken with two specific aims: firstly, for patients with sepsis, to identify factors associated with receiving intravenous fluids while in the ED; and, secondly to identify determinants associated with the actual time to fluid administration.

Methods

We conducted a retrospective multicentre cohort study of adult ED presentations between October 2018 and May 2019 in four metropolitan hospitals in Western Sydney, Australia. Patients meeting pre-specified criteria for sepsis and septic shock and treated with antibiotics within the first 24 h of presentation were included. Multivariable models were used to identify factors associated with fluid administration in sepsis.

Results

Four thousand one hundred forty-six patients met the inclusion criteria, among these 2,300 (55.5%) patients with sepsis received intravenous fluids in ED. The median time to fluid administration from the time of diagnosis of sepsis was 1.6 h (Interquartile Range (IQR) 0.5 to 3.8), and the median volume of fluids administered was 1,100 mL (IQR 750 to 2058). Factors associated with patients receiving fluids were younger age (Odds Ratio (OR) 1.05, 95% Confidence Interval (CI (1.03 to 1.07), p < 0.001); lower systolic blood pressure (OR 1.11, 95% CI (1.08 to 1.13), p < 0.001); presenting to smaller hospital (OR 1.48, 95% CI (1.25 to 1.75, p < 0.001) and a Clinical Rapid Response alert activated (OR 1.64, 95% CI (1.28 to 2.11), p < 0.001). Patients with Triage Category 1 received fluids 101.22 min earlier (95% CI (59.3 to131.2), p < 0.001) and those with Category 2 received fluids 43.58 min earlier (95% CI (9.6 to 63.1), p < 0.001) compared to patients with Triage Category 3–5. Other factors associated with receiving fluids earlier included septic shock (-49.37 min (95% CI (-86.4 to -12.4), p < 0.001)); each mmol/L increase in serum lactate levels (-9.0 min, 95% CI (-15.7 to -2.3), p < 0.001) and presenting to smaller hospitals (-74.61 min, 95% CI (-94.0 to -55.3), p < 0.001).

Conclusions

Younger age, greater severity of sepsis, and presenting to a smaller hospital increased the probability of receiving fluids and receiving it earlier. Recognition of these factors may assist in effective implementation of sepsis management guidelines which should translate into better patient outcomes. Future studies are needed to identify other associated factors that we have not explored.

Assessment of Metabolic Dysfunction in Sepsis in a Retrospective Single-Centre Cohort

Objective

Our primary aim was to assess selected metabolic dysfunction parameters, both independently and as a complement to the SOFA score, as predictors of short-term mortality in patients with infection admitted to the intensive care unit (ICU).

Methods

We retrospectively enrolled all consecutive adult patients admitted to the eight ICUs of Lille University Hospital, between January 2015 and September 2016, with suspected or confirmed infection. We selected seven routinely measured biological and clinical parameters of metabolic dysfunction (maximal arterial lactatemia, minimal and maximal temperature, minimal and maximal glycaemia, cholesterolemia, and triglyceridemia), in addition to age and the Charlson's comorbidity score. All parameters and SOFA scores were recorded within 24 h of admission.

Results

We included 956 patients with infection, among which 295 (30.9%) died within 90 days. Among the seven metabolic parameters investigated, only maximal lactatemia was associated with higher risk of 90-day hospital mortality in SOFA-adjusted analyses (SOFA-adjusted OR, 1.17; 95%CI, 1.10 to 1.25; p < 0.001). Age and the Charlson's comorbidity score were also statistically associated with a poor prognosis in SOFA-adjusted analyses. We were thus able to develop a metabolic failure, age, and comorbidity assessment (MACA) score based on scales of lactatemia, age, and the Charlson's score, intended for use in combination with the SOFA score.

Conclusions

The maximal lactatemia level within 24 h of ICU admission is the best predictor of short-term mortality among seven measures of metabolic dysfunction. Our combined "SOFA + MACA" score could facilitate early detection of patients likely to develop severe infections. Its accuracy requires further evaluation.

Association between intravenous fluid resuscitation and outcome among patients with suspected infection and sepsis: A retrospective cohort study

OBJECTIVE

To investigate the association between timing and volume of intravenous fluids administered to ED patients with suspected infection and all-cause in-hospital mortality.

METHODS

Retrospective cohort study of ED presentations at four metropolitan hospitals in Sydney, Australia, between October 2018 and May 2019. Patients over 16 years of age with suspected infection who received intravenous fluids within 24 h of presentation were included.

RESULTS

During the study period, 7533 patients with suspected infection received intravenous fluids. Of these, 1996 (26.5%) and 231 (3.1%) had suspected sepsis and septic shock, respectively. Each 1000 mL increase in intravenous fluids administered was associated with a reduction in risk of in-hospital mortality (adjusted odds ratio [AOR] 0.87, 95% confidence interval [CI] 0.76-0.99). This association was stronger in patients with septic shock (AOR 0.66, 95% CI 0.49-0.89), and those admitted to intensive care unit (ICU) (AOR 0.74, 95% CI 0.56-0.96). Patients with suspected sepsis and septic shock who received a total volume of >3600 mL had lower in-hospital mortality (AOR 0.44, 95% CI 0.22-0.91; AOR 0.16, 95% CI 0.05-0.57) compared to those administered <3600 mL within the first 24 h of presenting to the ED. There was no association between the time of initiation of fluids and in-hospital mortality among survivors and non-survivors (2.3 vs 2.5 h, P = 0.50).

CONCLUSION

We observed a reduction in risk of in-hospital mortality for each 1000 mL increase in intravenous fluids administered in patients with septic shock or admitted to ICU suggesting illness severity to be a likely effect modifier.

Quick sequential organ failure assessment score combined with other sepsis-related risk factors to predict in-hospital mortality: Post-hoc analysis of prospective multicenter study data

This study aimed to assess the value of quick sequential organ failure assessment (qSOFA) combined with other risk factors in predicting in-hospital mortality in patients presenting to the emergency department with suspected infection. This post-hoc analysis of a prospective multicenter study dataset included 34 emergency departments across Japan (December 2017 to February 2018). We included adult patients (age ≥16 years) who presented to the emergency department with suspected infection. qSOFA was calculated and recorded by senior emergency physicians when they suspected an infection. Different types of sepsis-related risk factors (demographic, functional, and laboratory values) were chosen from prior studies. A logistic regression model was used to assess the predictive value of qSOFA for in-hospital mortality in models based on the following combination of predictors: 1) qSOFA-Only; 2) qSOFA+Age; 3) qSOFA+Clinical Frailty Scale (CFS); 4) qSOFA+Charlson Comorbidity Index (CCI); 5) qSOFA+lactate levels; 6) qSOFA+Age+CCI+CFS+lactate levels. We calculated the area under the receiver operating characteristic curve (AUC) and other key clinical statistics at Youden's index, where the sum of sensitivity and specificity is maximized. Following prior literature, an AUC >0.9 was deemed to indicate high accuracy; 0.7-0.9, moderate accuracy; 0.5-0.7, low accuracy; and 0.5, a chance result. Of the 951 patients included in the analysis, 151 (15.9%) died during hospitalization. The AUC for predicting in-hospital mortality was 0.627 (95% confidence interval [CI]: 0.580-0.673) for the qSOFA-Only model. Addition of other variables only marginally improved the model's AUC; the model that included all potentially relevant variables yielded an AUC of only 0.730 (95% CI: 0.687-0.774). Other key statistic values were similar among all models, with sensitivity and specificity of 0.55-0.65 and 0.60-0.75, respectively. In this post-hoc data analysis from a prospective multicenter study based in Japan, combining qSOFA with other sepsis-related risk factors only marginally improved the model's predictive value.

Evaluation of the quick sequential organ failure assessment score plus lactate in critically ill dogs

OBJECTIVES

To apply the quick sequential organ failure assessment (qSOFA) score to dogs admitted to a veterinary ICU, and evaluate whether the addition of lactate increased the predictive ability of the score.

MATERIALS AND METHODS

A quick sequential organ failure assessment score of 0, 1, 2, or 3 was assigned to each dog based on the following criteria: respiratory rate >22 breaths per minute, altered mentation, systolic blood pressure <100 mmHg. Lactate was added to quick sequential organ failure assessment in an LqSOFA model and assigned to each patient. Disease processes evaluated included sepsis, congestive heart failure, pneumonia and pancreatitis.

RESULTS

Two hundred and sixty-seven client-owned dogs met the inclusion criteria. There was no significant difference in quick sequential organ failure assessment score between survivors and non-survivors. The use of lactate >3, 4, and 5 mmol/L incorporated into the quick sequential organ failure assessment score (L3qSOFA, L4qSOFA, L5qSOFA) distinguished between survival and non-survival (AUC=0.62; AUC=0.64; AUC=0.62, respectively). Lactate alone distinguished between survival and non-survival (AUC=0.63). Lactate concentration was significantly lower in survivors.

CLINICAL SIGNIFICANCE

In this study, quick sequential organ failure assessment was not able to predict survival in a general population of critically ill patients. The addition of lactate to the quick sequential organ failure assessment score slightly increased the predictive ability of the score.

Current Utility of Sequential Organ Failure Assessment Score: A Literature Review and Future Directions

The Sequential Organ Failure Assessment (SOFA) score is commonly used in the Intensive Care Unit (ICU) to evaluate, prognosticate and assess patients. Since its validation, the SOFA score has served in various settings, including medical, trauma, surgical, cardiac, and neurological ICUs. It has been a strong mortality predictor and literature over the years has documented the ability of the SOFA score to accurately distinguish survivors from non-survivors on admission. Over the years, multiple variations have been proposed to the SOFA score, which have led to the evolution of alternate validated scoring models replacing one or more components of the SOFA scoring system. Various SOFA based models have been used to evaluate specific clinical populations, such as patients with cardiac dysfunction, hepatic failure, renal failure, different races and public health illnesses, etc. This study is aimed to conduct a review of modifications in SOFA score in the past several years. We review the literature evaluating various modifications to the SOFA score such as modified SOFA, Modified SOFA, modified Cardiovascular SOFA, Extra-renal SOFA, Chronic Liver Failure SOFA, Mexican SOFA, quick SOFA, Lactic acid quick SOFA (LqSOFA), SOFA in hematological malignancies, SOFA with Richmond Agitation-Sedation scale and Pediatric SOFA. Various organ systems, their relevant scoring and the proposed modifications in each of these systems are presented in detail. There is a need to incorporate the most recent literature into the SOFA scoring system to make it more relevant and accurate in this rapidly evolving critical care environment. For future directions, we plan to put together most if not all updates in SOFA score and probably validate it in a large database a single institution and validate it in multisite data base.

Evaluation of an augmented emergency department electronic medical record-based sepsis alert

OBJECTIVE

Electronic medical records-based alerts have shown mixed results in identifying ED sepsis. Augmenting clinical patient-flagging with automated alert systems may improve sepsis screening. We evaluate the performance of a hybrid alert to identify patients in ED with sepsis or in-hospital secondary outcomes from infection.

METHODS

We extracted a dataset of all patients with sepsis during the study period at five participating Western Sydney EDs. We evaluated the hybrid alert's performance for identifying patients with a discharge diagnosis related to infection and modified sequential sepsis-related organ functional assessment (mSOFA) score ≥2 in ED and also compared the alert to rapid bedside screening tools to identify patients with infection for secondary outcomes of all-cause in-hospital death and/or intensive care unit admission.

RESULTS

A total of 118 178 adult patients presented to participating EDs during study period with 1546 patients meeting ED sepsis criteria. The hybrid alert had a sensitivity - 71.2% (95% confidence interval 68.8-73.4), specificity - 96.4% (95% confidence interval 96.3-96.5) for identifying ED sepsis. Clinician flagging identified additional alert-negative 232 ED sepsis and 63 patients with secondary outcomes and 112 alert-positive patients with infection and ED mSOFA score <2 went on to die in hospital.

CONCLUSION

The hybrid alert performed modestly in identifying ED sepsis and secondary outcomes from infection. Not all infected patients with a secondary outcome were identified by the alert or mSOFA score ≥2 threshold. Augmenting clinical practice with auto-alerts rather than pure automation should be considered as a potential for sepsis alerting until more reliable algorithms are available for safe use in clinical practice.

Prognostic Accuracy of VqSOFA for Predicting 28-day Mortality in Patients with Suspected Sepsis in the Emergency Department

BACKGROUND

Sepsis screening in the emergency department (ED) is challenging. The quick Sequential Organ Failure Assessment (qSOFA) score had poor accuracy for predicting mortality in both the intensive care unit and ED. High lactate levels were associated with an increased mortality. However, a previous study using lactate levels in combination with the qSOFA score did not observe a meaningful improvement in predictive accuracy. This study assessed the prognostic accuracy of venous lactate levels plus the qSOFA (VqSOFA) score for predicting 28-day mortality.

METHODS

Patients who visited the Ramathibodi ED with suspected sepsis were enrolled. The VqSOFA, qSOFA, and Sequential Organ Failure Assessment (SOFA) scores were calculated using the initial vital signs and laboratory values. Prognostic accuracy was measured using the area under the receiver operating characteristic (AUROC) curve of the VqSOFA score and Sepsis-3 criteria for predicting 28-day mortality.

RESULTS

In total, 1,139 patients were enrolled, 118 of whom died within 28 days of admission. The AUROCs of the VqSOFA, qSOFA, and SOFA scores were 0.851 (95% CI 0.813-0.889), 0.813 (95% CI 0.772-0.854), and 0.728 (95% CI 0.671-0.784), respectively. Using VqSOFA score ≥ 3 as the cutoff, the sensitivity, specificity, and positive likelihood ratio were 74.6%, 82.5%, and 4.25%, respectively. VqSOFA ≥ 3 was linked to a low probability of 28-day survival and higher odds of vasopressor and ventilator use within 24 h.

CONCLUSIONS

VqSOFA was more predictive of 28-day mortality and vasopressor and mechanical ventilator use than the qSOFA and SOFA scores.

A combination of C-reactive protein and quick sequential organ failure assessment (qSOFA) score has better prognostic accuracy than qSOFA alone in patients with complicated intra-abdominal infections

INTRODUCTION

Complicated intra-abdominal infections (cIAIs) remain a serious challenge because of their unacceptably high mortality rates. Among different prognostic scoring systems quick-sequential organ failure assessment (qSOFA) score is the most recent. However, as mortality predictor in surgical patients, qSOFA showed lack of sensitivity. The aim of this study was to find prognostic superiority of our new qSOFA-CRP score in patients with cIAIs.

MATERIALS AND METHODS

We retrospectively analyzed 78 patients presented to ED and admitted to Department of Surgical Diseases between January 2017 and October 2018 with diagnosis cIAIs. CRP levels, qSOFA score and systemic inflammatory response syndrome (SIRS) were established at admission. We analyzed area under receiver operating characteristics (AUROC) curves of SIRS, qSOFA and qSOFA-CRP and performed a comparison to explore their prognostic values.

RESULTS

The identified in-hospital mortality was 25.6%. qSOFA-CRP score showed the best prognostic performance compared to qSOFA alone (AUROC = 0.818 vs. 0.746, p = .0219) and SIRS (AUROC = 0.818 vs. 0.579, p = .0009). The new qSOFA-CRP score ≥2 points showed excellent specificity (91.4%) and the highest sensitivity in comparison to qSOFA ≥2 and SIRS ≥2 (60% vs. 35% vs. 40%) for mortality prediction.

CONCLUSIONS

qSOFA-CRP score showed better prognostic value than quick-SOFA alone in patients with cIAIs.

NEWS and qSIRS superior to qSOFA in the prediction of 30-day mortality in emergency department patients in Hong Kong

BACKGROUND

We aim to compare the prognostic value of Quick Sepsis-Related Organ Failure Assessment (qSOFA) and the previous Systemic Inflammatory Response Syndrome (SIRS) criteria, the National Early Warning Score (NEWS) and along with their combinations in the emergency department (ED).

METHODS

This single-centre prospective study recruited a convenience sample of unselected ED patients triaged as category 2 (Emergency) and 3 (Urgent). Receiver Operating Characteristic analyses were performed to determine the Area Under the Curve (AUC), along with sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios for the various scores.

RESULTS

Of 1253 patients recruited, overall 30-day mortality was 5.7%. The prognostic value for prediction of 30-day mortality, with AUCs for qSOFA ≥2, SIRS ≥2, NEWS ≥5, qSIRS (qSOFA + SIRS) ≥2 and NSIRS (NEWS + SIRS) ≥5 of 0.56 (95%CI 0.53-0.58), 0.61 (95%CI 0.58-0.64), 0.61 (95%CI 0.58-0.64), 0.64 (95%CI 0.62-0.67) and 0.61 (95%CI 0.58-0.63), respectively. Using pairwise comparisons of ROC curves, NEWS ≥5 and qSIRS ≥2 were better than qSOFA ≥2 at predicting 30-day mortality.

CONCLUSIONS

Among unselected emergency and urgent ED patients, the prognostic value for NEWS and qSIRS were greater than qSOFA, Combinations of qSOFA and SIRS could improve the predictive value for 30-day mortality for ED patients. Key messages NEWS ≥5 and qSIRS ≥2 were better than qSOFA ≥2 at predicting 30-day mortality in ED patients. Combinations of qSOFA and SIRS could improve the predictive value for 30-day mortality for ED patients.

Clinical validation demonstrates concordance of qSOFA and POC lactate Bayesian model: Results from the ACDC Phase-2 program

Sepsis is a common and lethal medical problem. The objective of this study was to validate a Bayesian Model that integrates qSOFA and prehospital Lactate, with a comparison analysis from a real clinical data of patients with sepsis.

METHODS

We conducted a two tired validation study with one arm focusing on Bayesian modeling and a second retrospective observational arm addressing real data validation. For Bayesian modeling, sensitivity and specificity of prehospital lactate were attained from pooled meta-analysis data. Later, for clinical validation, we used data from 2016 to 2017 of ED patients diagnosed with sepsis. Pretest probabilities from qSOFA score where combined with prehospital lactate and inserted into a Bayesian model to calculate posttest probabilities. Absolute and relative diagnostic gains were calculated. Statistical significance was assessed via t-test, chi square and odds ratio. P value was set to be 0.05.

RESULTS

For the Bayesian arm; meta-analysis data for prehospital lactate resulted in a positive likelihood ratio (LR+) of 1.69 and negative likelihood ratio (LR-) of 0.44. Integration of lactate and qSOFA demonstrated significant post-test improvements. On the Clinical Validation arm, 1470 patients were included with 176 patients meeting analysis criteria. When comparing qSOFA + Abnormal Lactate vs qSOFA and normal Lactate, the ICU vs Non-ICU cohorts were statistically different (p < 0.01) Odds Ratio: 2.35 (95% CI [1.22-4.6]).

CONCLUSION

Bayesian mathematical model demonstrated that a qSOFA-based clinical decision can be complemented by the use of point of-care lactate. These results were confirmed by our clinical validation arm.

Usefulness of ischemia-modified albumin in the diagnosis of sepsis/septic shock in the emergency department

Objective

No studies have evaluated the diagnostic value of ischemia-modified albumin (IMA) for the early detection of sepsis/septic shock in patients presenting to the emergency department (ED). We aimed to assess the usefulness of IMA in diagnosing sepsis/septic shock in the ED.

Methods

This retrospective, observational study analyzed IMA, lactate, high sensitivity C-reactive protein, and procalcitonin levels measured within 1 hour of ED arrival. Patients with suspected infection meeting at least two systemic inflammatory response syndrome criteria were included and classified into the infection, sepsis, and septic shock groups using Sepsis-3 definitions. Areas under the receiver operating characteristic curves (AUCs) with 95% confidence intervals (CIs) and multivariate logistic regression were used to determine diagnostic performance.

Results

This study included 300 adult patients. The AUC (95% CI) of IMA levels (cut-off ≥85.5 U/mL vs. ≥87.5 U/mL) was higher for the diagnosis of sepsis than for that of septic shock (0.729 [0.667–0.791] vs. 0.681 [0.613–0.824]) and was higher than the AUC of procalcitonin levels (cut-off ≥1.58 ng/mL, 0.678 [0.613–0.742]) for the diagnosis of sepsis. When IMA and lactate levels were combined, the AUCs were 0.815 (0.762–0.867) and 0.806 (0.754–0.858) for the diagnosis of sepsis and septic shock, respectively. IMA levels independently predicted sepsis (odds ratio, 1.05; 95% CI, 1.00–1.09; P=0.029) and septic shock (odds ratio, 1.07; 95% CI, 1.02–1.11; P=0.002).

Conclusion

Our findings indicate that IMA levels are a useful biomarker for diagnosing sepsis/ septic shock early, and their combination with lactate levels can enhance the predictive power for early diagnosis of sepsis/septic shock in the ED.

Lactate-enhanced-qSOFA (LqSOFA) score is superior to the other four rapid scoring tools in predicting in-hospital mortality rate of the sepsis patients

Background

The rising prevalence of early therapy for sepsis has led to the demand for rapid risk-stratification tools that can estimate the risk of in-hospital mortality for sepsis patients and the need for intensive care unit (ICU) admission. A robust risk-stratification tool is crucial for in-time sepsis treatment. This study aimed to compare the abilities of five rapid scoring systems, i.e., LqSOFA score, qSOFA score, SIRS, MEDS, and MEWS, in predicting the mortality in hospital and ICU admission for sepsis patients.

Methods

A retrospective observational clinical study was conducted in West China Hospital. Our cases included all patients admitted to the hospital with a diagnosis of sepsis (sepsis-3). We calculated five rapid prediction scores for the enrolled cases. We then compared each rapid score’s ability to predict in-hospital mortality and ICU admission.

Results

A total of 821 of mixed sepsis patients by sepsis-3 definition were included. The all-cause hospital mortality rate was 21.1%. The LqSOFA score presented the most significant discrimination with an area under the receiver operating characteristic curve (AUC) of 0.751. The AUC of the LqSOFA score for mortality in the hospital was significantly higher than qSOFA (AUC 0.717), SIRS (AUC 0.704), MEDS (AUC 0.670), and MEWS (AUC 0.685).

Conclusions

LqSOFA is a superior prognostic tool for predicting mortality in the hospital. It may provide more exact information for hospital mortality than the other 4 rapid scores in treating sepsis patients.

Predictive Accuracy of the Quick Sepsis-related Organ Failure Assessment Score in Brazil. A Prospective Multicenter Study

Rationale: Although proposed as a clinical prompt to sepsis based on predictive validity for mortality, the Quick Sepsis-related Organ Failure Assessment (qSOFA) score is often used as a screening tool, which requires high sensitivity.

Objectives: To assess the predictive accuracy of qSOFA for mortality in Brazil, focusing on sensitivity.

Methods: We prospectively collected data from two cohorts of emergency department and ward patients. Cohort 1 included patients with suspected infection but without organ dysfunction or sepsis (22 hospitals: 3 public and 19 private). Cohort 2 included patients with sepsis (54 hospitals: 24 public and 28 private). The primary outcome was in-hospital mortality. The predictive accuracy of qSOFA was examined considering only the worst values before the suspicion of infection or sepsis.

Measurements and Main Results: Cohort 1 contained 5,460 patients (mortality rate, 14.0%; 95% confidence interval [CI], 13.1–15.0), among whom 78.3% had a qSOFA score less than or equal to 1 (mortality rate, 8.3%; 95% CI, 7.5–9.1). The sensitivity of a qSOFA score greater than or equal to 2 for predicting mortality was 53.9% and the 95% CI was 50.3 to 57.5. The sensitivity was higher for a qSOFA greater than or equal to 1 (84.9%; 95% CI, 82.1–87.3), a qSOFA score greater than or equal to 1 or lactate greater than 2 mmol/L (91.3%; 95% CI, 89.0–93.2), and systemic inflammatory response syndrome plus organ dysfunction (68.7%; 95% CI, 65.2–71.9). Cohort 2 contained 4,711 patients, among whom 62.3% had a qSOFA score less than or equal to 1 (mortality rate, 17.3%; 95% CI, 15.9–18.7), whereas in public hospitals the mortality rate was 39.3% (95% CI, 35.5–43.3).

Conclusions: A qSOFA score greater than or equal to 2 has low sensitivity for predicting death in patients with suspected infection in a developing country. Using a qSOFA score greater than or equal to 2 as a screening tool for sepsis may miss patients who ultimately die. Using a qSOFA score greater than or equal to 1 or adding lactate to a qSOFA score greater than or equal to 1 may improve sensitivity.

Clinical trial registered with www.clinicaltrials.gov (NCT03158493).

Systematic review on peri-operative lactate measurements to predict outcomes in patients undergoing liver resection

Lactate measurements have proven utility as a triage tool, therapeutic guide, and prognostic indicator, with broad use in Acute Care and transplantation. Its value in guiding therapy and predicting outcomes following liver resection is less well‐defined. This systematic review in accordance with Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines assessed the relationship between peri‐operative lactate levels and morbidity and mortality after liver resection. Seven relevant studies comprising 2573 patients in total were identified. Six studies assessed intra‐operative or early postoperative lactate levels, one publication examined pre‐operative levels. All studies demonstrated a significant association between peri‐operative lactate levels and adverse outcomes. The influence of pre‐operative diabetes and cirrhosis on postoperative lactate levels was shown in one study each, no study assessed the association of lactate with post‐hepatectomy liver failure according to defined criteria. The heterogeneity of study measurements and end‐points precluded a meta‐analysis from being performed. Early postoperative lactate >3‐3.7 mmol/L is associated with mortality but validation of clear cut‐off levels for outcome prediction is pending. Literature suggests lactate is a useful predictive marker for outcomes post liver surgery, especially when measured in the early postoperative phase. Further research is required to standardize the use of lactate measurements in a meaningful therapeutic manner.

Accuracy of the qSOFA Score and RED Sign in Predicting Critical Care Requirements in Patients with Suspected Infection in the Emergency Department: A Retrospective Observational Study

Background and objectives: We aimed to compare the accuracy of positive quick sequential organ failure assessment (qSOFA) scores and the RED sign in predicting critical care requirements (CCRs) in patients with suspected infection who presented to the emergency department (ED). Materials and Methods: In this retrospective observational study, we examined adult patients with suspected infection in the ED from June 2018 to September 2018. A positive qSOFA (qSOFA+) was defined as the presence of ≥2 of the following criteria: altered mental status (AMS), systolic blood pressure (SBP) < 100 mmHg, and respiratory rate (RR) ≥ 22 breaths/min. A positive RED sign (RED sign+) was defined as the presence of at least one of the RED sign criteria: AMS, skin mottling, SBP < 90 mmHg, heart rate >130 beats/min, or RR > 30 breaths/min. A qSOFA/RED+ was defined as the presence of qSOFA+ or RED+. We applied these tools twice using the initial values upon ED arrival and all values within 2 h after ED arrival. The accuracy of qSOFA+, RED+, and qSOFA/RED+ in predicting CCR was assessed. Results: Data from 5353 patients with suspected infection were analyzed. The area under the receiver operating characteristic curve (AUC) of RED+ (0.67, 95% confidence interval [CI]: 0.65–0.70) and that of qSOFA/RED+ (0.68, 95% CI: 0.66–0.70, p < 0.01) were higher than the AUC of qSOFA+ (0.59, 95% CI: 0.57–0.60) in predicting CCR on ED arrival. The qSOFA/RED+ within 2 h showed the highest accuracy (AUC 0.72, 95% CI: 0.70–0.75, p < 0.001). Conclusions: The accuracy of the RED sign in predicting CCR in patients with suspected infection who presented at ED was better than that of qSOFA. The combined use of the RED sign and qSOFA (positive qSOFA or RED sign) showed the highest accuracy.

Added value of inflammatory markers to vital signs to predict mortality in patients suspected of severe infection

OBJECTIVE

To evaluate the added value of inflammatory markers to vital signs to predict mortality in patients suspected of severe infection.

METHODS

This study was conducted at an acute care hospital (471-bed capacity). Consecutive adult patients suspected of severe infection who presented to either ambulatory care or the emergency department from April 2015 to March 2017 were retrospectively evaluated. A prognostic model for predicting 30-day in-hospital mortality based on previously established vital signs (systolic blood pressure, respiratory rate, and mental status) was compared with an extended model that also included four inflammatory markers (C-reactive protein, neutrophil-lymphocyte ratio, mean platelet volume, and red cell distribution width). Measures of interest were model fit, discrimination, and the net percentage of correctly reclassified individuals at the pre-specified threshold of 10% risk.

RESULTS

Of the 1015 patients included, 66 (6.5%) died. The extended model including inflammatory markers performed significantly better than the vital sign model (likelihood ratio test: p < 0.001), and the c-index increased from 0.69 (range 0.67-0.70) to 0.76 (range 0.75-0.77) (p = 0.01). All included markers except C-reactive protein showed significant contribution to the model improvement. Among those who died, 9.1% (95% CI -2.8-21.8) were correctly reclassified by the extended model at the 10% threshold.

CONCLUSIONS

The inflammatory markers except C-reactive protein showed added predictive value to vital signs. Future studies should focus on developing and validating prediction models for use in individualized predictions including both vital signs and the significant markers.

Screening for sepsis: SIRS or qSOFA? A literature review

In 2016, definitions of sepsis and septic shock were updated to focus on organ dysfunction rather than systemic inflammatory response as the identifying trait. This article aims to compare and evaluate the effectiveness of systemic inflammatory response syndrome (SIRS) and quick Sequential Organ Failure Assessment (qSOFA) in detecting sepsis in emergency department (ED) patients. A systematic search of the literature was undertaken using four databases. A total of 307 articles was identified. After the selection process, 13 articles met the inclusion criteria for the review. Five themes emerged from the meta-analysis: SIRS; qSOFA; timeliness and simplicity; sensitivity versus specificity; and adding lacate. SIRS offered users greater sensitivity when assessing for sepsis. However, qSOFA is a simple bedside tool with greater specificity, which does not require any blood test results. The author created a new qSOFA screening tool, which incorporated the use of point-of-care serum lactate measurement. He found that qSOFA outperforms SIRS as an ED sepsis screening tool with its strengths of efficacy, efficiency and ease. It was also found to differentiate better between uncomplicated infection and sepsis, which can commonly cause trigger fatigue in EDs.

Glucose and Lactate Levels at Admission as Predictors of In-hospital Mortality

Objective

Glucose and lactate levels in patients at the time of admission have been studied in diverse patient groups. Some studies suggest that elevated glucose levels at admission predict worse outcomes. Elevated Lactate levels have also been reported to be directly associated with increased mortality. We wanted to determine if the combination of admission glucose and lactate levels improves the predictability of inpatient mortality and length of stay (LOS).

Methods

This is a retrospective study. We included all adult patients admitted at an academic medical center from October 1, 2015 to September 30, 2016. We collected basic clinical information, including age, gender, admission glucose and lactate levels, LOS, and mortality. We separated outcomes based on glucose and lactate levels by dividing them into quartiles. We also stratified patients based on normal lactate (<2.0 mmol/L), high lactate (2.0-4.0 mmol/L), and very high lactate (>4 mmol/L) levels; and on normal glucose (60-140 mg/dl), high glucose (140-200 mg/dl), and very high glucose (>200 mg/dl) levels.

Results

A total of 5,436 adult patients were included in our study. The median age was 58 years, and 57% of the patients were male. The median LOS was 6 days, and the overall in-hospital mortality rate was 11%. When the patients were separated in quartiles based on admission glucose values, mortality was higher in the 4th quartile (≥173 mg/dL): 14.87%, probability value (p): <0.001. When the patients were separated in quartiles based on lactate levels, the mortality was higher in the 4th quartile (≥2.23 mmol/L): 21.95%, p: 0.001. When the patients were paired according to normal, high, or very high lactate and glucose levels, the groups that had higher mortality were as follows: normal glucose/very high lactate: 32.43%; high glucose/very high lactate: 34.04%; and very high glucose and very high lactate: 39.15%. The groups with very high glucose and very high lactate had increased odds of mortality when compared with the other groups (p: <0.001).

Conclusions

Admission glucose and lactate levels provide useful information in the estimation of inpatient mortality. The LOS was shortened in the groups with higher glucose, lactate, or both. The combination of glucose and lactate levels predicted mortality better than either value alone. 

Combining qSOFA criteria with initial lactate levels: Improved screening of septic patients for critical illness

OBJECTIVE

To determine if the addition of lactate to Quick Sequential Organ Failure Assessment (qSOFA) scoring improves emergency department (ED) screening of septic patients for critical illness.

METHODS

This was a multicenter retrospective cohort study of consecutive adult patients admitted to the hospital from the ED with infectious disease-related illnesses. We recorded qSOFA criteria and initial lactate levels in the first 6 h of ED stay. Our primary outcome was a composite of hospital death, vasopressor use, and intensive care unit stay ≤72 h of presentation. Diagnostic test characteristics were determined for: 1) lactate levels ≥2 and ≥4; 2) qSOFA scores ≥1, ≥2, and =3; and 3) combinations of these.

RESULTS

Of 3743 patients, 2584 had a lactate drawn ≤6 h of ED stay and 18% met the primary outcome. The qSOFA scores were ≥1, ≥2, and =3 in 59.2%, 22.0%, and 5.3% of patients, respectively, and 34.4% had a lactate level ≥2 and 7.9% had a lactate level ≥4. The combination of qSOFA ≥1 OR Lactate ≥2 had the highest sensitivity, 94.0% (95% CI: 91.3-95.9).

CONCLUSIONS

The combination of qSOFA ≥1 OR Lactate ≥2 provides substantially improved sensitivity for the screening of critical illness compared to isolated lactate and qSOFA thresholds.

Clinical Value of Whole Blood Procalcitonin Using Point of Care Testing, Quick Sequential Organ Failure Assessment Score, C-Reactive Protein and Lactate in Emergency Department Patients with Suspected Infection

We investigated the clinical value of whole blood procalcitonin using point of care testing, quick sequential organ failure assessment score, C-reactive protein and lactate in emergency department patients with suspected infection and assessed the accuracy of the whole blood procalcitonin test by point-of-care testing. Participants were randomly selected from emergency department patients who complained of a febrile sense, had suspected infection and underwent serum procalcitonin testing. Whole blood procalcitonin levels by point-of-care testing were compared with serum procalcitonin test results from the laboratory. Participants were divided into two groups-those with bacteremia and those without bacteremia. Sensitivity, specificity, positive predictive value, negative predictive value of procalcitonin, lactate and Quick Sepsis-related Organ Failure Assessment scores were investigated in each group. Area under receiving operating curve of C-reactive protein, lactate and procalcitonin for predicting bacteremia and 28-day mortality were also evaluated. Whole blood procalcitonin had an excellent correlation with serum procalcitonin. The negative predictive value of procalcitonin and lactate was over 90%. Area under receiving operating curve results proved whole blood procalcitonin to be fair in predicting bacteremia or 28-day mortality. In the emergency department, point-of-care testing of whole blood procalcitonin is as accurate as laboratory testing. Moreover, procalcitonin is a complementing test together with lactate for predicting 28-days mortality and bacteremia for patients with suspected infection.

Quick Sequential Organ Failure Assessment as a prognostic factor for infected patients outside the intensive care unit: a systematic review and meta-analysis

Quick Sequential Organ Failure Assessment (qSOFA) was proposed to replace SIRS as a new screening tool for the identification of septic patients at high mortality. However, researches from infected patients outside of ICU especially in Emergency Department (ED) drew contradictory conclusions on the prognostic value of qSOFA. This systematic review evaluated qSOFA as a prognostic marker of infected patients outside of ICU. The primary outcome was hospital mortality or 28- or 30-day mortality. Data were pooled based on sensitivity and specificity. Twenty-four trials with 121,237 participants were included. qSOFA had a poor sensitivity (0.58 [95% CI 0.47-0.67], 0.54 [95% CI 0.43-0.65]) and moderate specificity (0.69 [95% CI 0.48-0.84], 0.77 [95% CI 0.66-0.86]) for prediction of mortality in patients outside of ICU and ED patients only. Studies that used in-hospital mortality showed a higher sensitivity (0.61 [95% CI 0.50-0.71] vs 0.32 [95% CI 0.15-0.49]) and lower specificity (0.70 [95% CI 0.59-0.82] vs 0.92 [95% CI 0.85-0.99]) than studies that used 28 or 30-day mortality. Studies with overall mortality < 10% showed higher specificity (0.89 [95% CI 0.82-0.95] vs 0.62 [95% CI 0.48-0.76]) than studies with overall mortality ≥ 10%. There is no difference in the accuracy of diagnosis of sepsis between positive qSOFA scores and SIRS criteria. qSOFA was poor sensitivity and moderate specificity in predicting mortality of infected patients outside of ICU especially in ED. Combining qSOFA and SIRS may be helpful in predicting mortality.

Adding lactate to SOFA and qSOFA scores predicts in-hospital mortality better in older patients in critical care

AIM

The aim of this study was to determine whether the addition of the lactate level to the SOFA score (SOFA-Laktat) and qSOFA Score (qSOFA-Laktat) improves the performance of the SOFA score and qSOFA score alone in predicting the hospital mortality of critically ill older patients.

MATERIAL AND METHOD

A total of 799 patients over 65 years of age admitted to Emergency Department and hospitalized to intensive care unit (ICU) of our hospital between May 1, 2016, and April 30, 2017, were included in this study. The parameters gender, age, initial complaint, duration of time between the start of their complaint and emergency admission, comorbidities, SOFA scores, qSOFA scores, arterial lactate (AL) values and reason for acute admission, which intensive care unit admitted to, length of stay and patients outcomes (discharge, exitus) were recorded. The primary outcome was to evaluate whether the addition of the evaluation of AL value increased the performance of the SOFA score and qSOFA score in predicting hospital mortality.

RESULTS

Data of 799 patients were analyzed, in which 52.8% (n = 422) were male and 47.3% (n = 377) were female. Most frequently hospitalized clinic was coronary ICU (34.7%, n = 277). Mean duration of hospitalization was 5.2 ± 8.7 days. Hospitalization was prolonged with increased lactate, SOFA and qSOFA levels. Cutoff value for lactate was 2.3 mmol/L in our ROC analyses. Predictive value of SOFA-Lactate_2.3 for mortality was significantly higher than SOFA score (p < 0.001). Also, predictive value of qSOFA-Lactate_2.3 for mortality was significantly higher than qSOFA score (p < 0.001).

CONCLUSION

The lactate 2.3 mmol/L threshold-based SOFA-Lactate_2.3 and qSOFA-Lactate_2.3 scores perform better than SOFA and qSOFA alone in identifying hospital mortality risks of patients over 65 who are admitted to the ICU.

Prognostic accuracy of the sequential organ failure assessment (SOFA) and quick SOFA for mortality in cancer patients with sepsis defined by systemic inflammatory response syndrome (SIRS)

PURPOSE

We aimed to assess the prognostic accuracy of SOFA and qSOFA scores in cancer patients with sepsis, and also to determine if the addition of hyperlactatemia to qSOFA increases the accuracy in predicting the 30-day mortality.

MATERIAL AND METHOD

We consecutively included adult active cancer patients (age ≥ 18 years) with sepsis defined by SIRS who visited the emergency department (ED) from May 1st to July 30th, 2017. Data were collected retrospectively through reviewing medical records. The SOFA and qSOFA scores were calculated with the initial variables at the time of ED admission. The primary endpoint was 30-day mortality.

RESULT

Of 1137 screened, 301 were included. The 30-day mortality was 14.3% (43 patients). Among the total 301, the SOFA score was ≥ 2 in 168 and qSOFA ≥ 2 in 23. For those with SOFA ≥ 2 and < 2, the mortality was 23.2% and 3%, respectively (P < 0.001). For those with qSOFA ≥ 2 and < 2, the mortality was 47.8% and 11.5%, respectively (P < 0.001). The AUROC of 30-day mortality for qSOFA was lower than that for SOFA (0.66 (95% CI, 0.56-0.75) vs. 0.79 (95% CI, 0.72-0.87), P = 0.004)). However, the combination of qSOFA with lactate ≥ 2 threshold considerably enhanced a discrimination capacity for mortality with an AUROC 0.77 (95% CI, 0.69-0.85), which was similar to SOFA (P = 0.11).

CONCLUSION

In cancer patients with sepsis, qSOFA was inferior to SOFA in predicting mortality. However, adding lactate to qSOFA resulted in greater prognostic accuracy for short-term mortality, comparable with SOFA.

[Comparison of different strategies for short-term death prediction in the infected older patient]

OBJECTIVE

The aim of this study was to determine the utility of a post hoc lactate added to SIRS and qSOFA score to predict 30-day mortality in older non-severely dependent patients attended for infection in the Emergency Department (ED).

METHODS

We performed an analytical, observational, prospective cohort study including patients of 75 years of age or older, without severe functional dependence, attended for an infectious disease in 69 Spanish ED for 2-day three seasonal periods. Demographic, clinical and analytical data were collected. The primary outcome was 30-day mortality after the index event.The antimicrobial susceptibility data and extended-spectrum beta-lactamase (ESBL) production in isolates recovered from intra-abdominal (IAI) (n=1,429) and urinary tract (UTI) (n=937) infections during the 2016- 2017 SMART study in 10 Spanish hospitals were analysed.

RESULTS

We included 739 patients with a mean age of 84.9 (SD 6.0) years; 375 (50.7%) were women. Ninety-one (12.3%) died within 30 days. The AUC was 0.637 (IC 95% 0.587-0.688; p<0.001) for SIRS ≥ 2 and 0.698 (IC 95% 0.635-0.761; p<0.001) for qSOFA ≥ 2. Comparing receiver operating characteristic (ROC) there was a better accuracy of qSOFA vs SIRS (p=0.041). Both scales improve the prognosis accuracy with lactate inclusion. The AUC was 0.705 (IC95% 0.652-0.758; p<0.001) for SIRS plus lactate and 0.755 (IC95% 0.696-0.814; p<0.001) for qSOFA plus lactate, showing a trend to statistical significance for the second strategy (p=0.0727). Charlson index not added prognosis accuracy to SIRS (p=0.2269) or qSOFA (p=0.2573).

CONCLUSIONS

Lactate added to SIRS and qSOFA score improve the accuracy of SIRS and qSOFA to predict short-term mortality in older non-severely dependent patients attended for infection. There is not effect in adding Charlson index.

Comparison of Prognostic Accuracy of the quick Sepsis-Related Organ Failure Assessment between Short- & Long-term Mortality in Patients Presenting Outside of the Intensive Care Unit - A Systematic Review & Meta-analysis

The purpose of this meta-analysis was to compare the ability of the qSOFA in predicting short- (≤30 days or in-hospital mortality) and long-term (>30 days) mortality among patients outside the intensive care unit setting. Studies reporting on the qSOFA and mortality were searched using MEDLINE and SCOPUS. Studies were included if they involved patients presenting to the ED with suspected infection and usage of qSOFA score for mortality prognostication. Data on qSOFA scores and mortality rates were extracted from 36 studies. The overall pooled sensitivity and specificity for the qSOFA were 48% and 86% for short-term mortality and 32% and 92% for long-term mortality, respectively. Studies reporting on short-term mortality were heterogeneous (Odd ratio, OR = 5.6; 95% CI = 4.6-6.8; Higgins's I2 = 94%), while long-term mortality studies were homogenous (OR = 4.7; 95% CI = 3.5-6.1; Higgins's I2 = 0%). There was no publication bias for short-term mortality analysis. The qSOFA score showed poor sensitivity but moderate specificity for both short and long-term mortality, with similar performance in predicting both short- and long- term mortality. Geographical region was shown to have nominal significant (p = 0.05) influence on qSOFA short-term mortality prediction.

Review article: Sepsis in the emergency department - Part 2: Investigations and monitoring

Sepsis is characterised by organ dysfunction resulting from infection, with no reliable single objective test and current diagnosis based on clinical features and results of investigations. In the ED, investigations may be conducted to diagnose infection as the cause of the presenting illness, identify the source, distinguish sepsis from uncomplicated infection (i.e. without organ dysfunction) and/ or risk stratification. Appropriate sample collection for microbiological testing remains key for subsequent confirmation of diagnosis and rationalisation of antimicrobials. Routine laboratory investigations such as creatinine, bilirubin, platelet count and lactate are now critical elements in the diagnosis of sepsis and septic shock. With no biomarker sufficiently validated to rule out bacterial infection in the ED, there remains substantial interest in biomarkers representing various pathogenic pathways. New technologies for screening multiple genes and proteins are identifying unique network 'signatures' of clinical interest. Other future directions include rapid detection of bacterial DNA in blood, genes for antibiotic resistance and EMR-based computational biomarkers that collate multiple information sources. Reliable, cost-effective tests, validated in the ED to promptly and accurately identify sepsis, and to guide initial antibiotic choices, are important goals of current research efforts.

Translating Sepsis-3 Criteria in Children: Prognostic Accuracy of Age-Adjusted Quick SOFA Score in Children Visiting the Emergency Department With Suspected Bacterial Infection

Background: Recent attempts to translate Sepsis-3 criteria to children have been restricted to PICU patients and did not target children in emergency departments (ED). We assessed the prognostic accuracy of the age-adjusted quick Sequential Organ Failure Assessment score (qSOFA) and compared the performance to SIRS and the quick Pediatric Logistic Organ Dysfunction-2 score (qPELOD-2). We studied whether the addition of lactate (qSOFA-L) would increase prognostic accuracy. Methods: Non-academic, single-center, retrospective study in children visiting the ED and admitted with suspected bacterial infection between March 2013 and January 2018. We defined suspected bacterial infection as initiation of antibiotic therapy within 24 h after ED entry. Age-adjusted qSOFA, SIRS, qPELOD-2, and qSOFA-L scores were compared by area under the receiver operating characteristics curve (AUROC) analysis. Primary outcome measure was PICU transfer and/or mortality and secondary outcome was prolonged hospital length of stay. Results: We included 864 ED visits [474 (55%) male; median age 2.5 years; IQR 9 months-6 years], of which 18 were transferred to a PICU and 6 ended in death [composite outcome PICU transfer and/or mortality; 23 admissions (2.7%)]. 179 (22.2%) admissions resulted in prolonged hospital length of stay. PICU transfer and/or death was present in 22.5% of visits with qSOFA≥2 (n = 40) compared to 2.0% of visits with qSOFA<2 (n = 444) (p < 0.01). qSOFA tends to be the best predictor of PICU transfer and/or mortality (AUROC 0.72 (95% CI, 0.57-0.86) compared to SIRS [0.64 (95% CI, 0.53-0.74), p = 0.23] and qPELOD-2 [0.60 (95% CI, 0.45-0.76), p = 0.03)]. Prolonged hospital length of stay was poorly predicted by qSOFA (AUROC 0.53, 95% CI 0.46-0.59), SIRS (0.49, 95% CI 0.44-0.54), and qPELOD-2 (0.51, 95%CI 0.45-0.57). qSOFA-L resulted in an AUROC of 0.67 (95% CI, 0.50-0.84) for PICU transfer and/or mortality and an AUROC of 0.56 (95% CI, 0.46-0.67) for prolonged hospital length of stay. Conclusion: The currently proposed bedside risk-stratification tool of Sepsis-3 criteria, qSOFA, shows moderate prognostic accuracy for PICU transfer and/or mortality in children visiting the ED with suspected bacterial infection. The addition of lactate did not improve prognostic accuracy. Future prospective studies in larger ED populations are needed to further determine the utility of the qSOFA score.