scholarly journals The sensitivity of qSOFA calculated at triage and during emergency department treatment to rapidly identify sepsis patients

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Sarah M. Perman ◽  
Mark E. Mikkelsen ◽  
Munish Goyal ◽  
Adit Ginde ◽  
Abhishek Bhardwaj ◽  
...  

AbstractThe quick sequential organ failure assessment (qSOFA) score has been proposed as a means to rapidly identify adult patients with suspected infection, in pre-hospital, Emergency Department (ED), or general hospital ward locations, who are in a high-risk category with increased likelihood of “poor outcomes:” a greater than 10% chance of dying or an increased likelihood of spending 3 or more days in the ICU. This score is intended to replace the use of systemic inflammatory response syndrome (SIRS) criteria as a screening tool; however, its role in ED screening and identification has yet to be fully elucidated. In this retrospective observational study, we explored the performance of triage qSOFA (tqSOFA), maximum qSOFA, and first initial serum lactate (> 3 mmol/L) at predicting in-hospital mortality and compared these results to those for the initial SIRS criteria obtained in triage. A total of 2859 sepsis cases were included and the in-hospital mortality rate was 14.4%. The sensitivity of tqSOFA ≥ 2 and maximum qSOFA ≥ 2 to predict in-hospital mortality were 33% and 69%, respectively. For comparison, the triage SIRS criteria and the initial lactate > 3 mmol/L had sensitivities of 82% and 65%, respectively. These results demonstrate that in a large ED sepsis database the earliest measurement of end organ impairment, tqSOFA, performed poorly at identifying patients at increased risk of mortality and maximum qSOFA did not significantly outperform initial serum lactate levels.

Author(s):  
Ralphe Bou Chebl ◽  
Sarah Jamali ◽  
Nancy Mikati ◽  
Reem Al Assaad ◽  
Karim Abdel Daem ◽  
...  

Abstract Objective The clinical interpretation of lactate ≤ 2.00 mmol/L in emergency department (ED) patients is not well characterized. This study aims to determine the optimal cutoff value for lactate within the reference range that predicts in-hospital mortality among ED patients with initial serum lactate levels within the reference range. Methods This was a retrospective study of adult patients presenting to a tertiary ED between the dates of January 1, 2014 and June 30, 2019 with an initial serum lactate level less than 2.00 mmol/L. The primary outcome was in-hospital mortality. Youden’s index was utilized to determine the optimal threshold that predicts mortality. Patients above the threshold were labeled as having relative hyperlactatemia. A multivariate logistic regression was performed to determine the association between relative hyperlactatemia and in-hospital mortality. Subgroup analyses were done to further examine the interaction between relative hyperlactatemia and hospital mortality. Results During the study period, 1638 patients were included. The mean age was 66.9 ± 18.6 years, 47.1% of the population were female, and the most prevalent comorbidity was hypertension (56.7%). The mean lactate level at presentation was 1.5 ± 0.3 mmol/L. In-hospital mortality was 3.8% in the overall population and 16.2% were admitted to the ICU. A lactate of 1.33 mmol/L was found to be the optimal cutoff that best discriminates between survivors and non-survivors. Relative hyperlactatemia was an independent predictor of in-hospital mortality (OR 1.78 CI1.18-4.03; p 0.02). Finally, Relative hyperlactatemia was associated with increased mortality in patients without hypertension (4.7% versus 1.1%; p 0.008), as well as patients without diabetes or COPD. Conclusion The optimal cutoff of initial serum lactate that discriminates between survivors and non-survivors is in the ED 1.33 mmol/L. Relative hyperlactatemia is associated with increased mortality in emergency department patients, and this interaction seems to be more important in healthy patients.


2022 ◽  
Vol 11 (2) ◽  
pp. 403
Author(s):  
Shu-Hsien Hsu ◽  
Po-Hsuan Kao ◽  
Tsung-Chien Lu ◽  
Chih-Hung Wang ◽  
Cheng-Chung Fang ◽  
...  

Objectives: Early recognition and prevention of in-hospital cardiac arrest (IHCA) play an increasingly important role in the Chain of Survival. However, clinical tools for predicting IHCA in the emergency department (ED) are scanty. We sought to evaluate the role of serum lactate in predicting ED-based IHCA. Methods: Data were retrieved from 733,398 ED visits over a 7-year period in a tertiary medical centre. We selected one ED visit per person and excluded out-of-hospital cardiac arrest, children, or those without lactate measurements. Patient demographics, computerised triage information, and serum lactate levels were extracted. The initial serum lactate levels were grouped into normal (≤2 mmol/L), moderately elevated (2 < lactate ≤ 4), and highly elevated (>4 mmol/L) categories. The primary outcome was ED-based IHCA. Results: A total of 17,392 adult patients were included. Of them, 342 (2%) developed IHCA. About 50% of the lactate levels were normal, 30% were moderately elevated, and 20% were highly elevated. In multivariable analysis, the group with highly elevated lactate had an 18-fold increased risk of IHCA (adjusted odds ratio [OR], 18.0; 95% confidence interval [CI], 11.5–28.2), compared with the normal lactate group. In subgroup analysis, the poor lactate-clearance group (<2.5%/h) was associated with a 7.5-fold higher risk of IHCA (adjusted OR, 7.5; 95%CI, 3.7–15.1) compared with the normal clearance group. Conclusions: Elevated lactate levels and poor lactate clearance were strongly associated with a higher risk of ED-based IHCA. Clinicians may consider a more liberal sampling of lactate in patients at higher risk of IHCA with follow-up of abnormal levels.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Atsushi Shiraishi ◽  
Satoshi Gando ◽  
Toshikazu Abe ◽  
Shigeki Kushimoto ◽  
Toshihiko Mayumi ◽  
...  

AbstractPrevious studies have shown inconsistent prognostic accuracy for mortality with both quick sequential organ failure assessment (qSOFA) and the systemic inflammatory response syndrome (SIRS) criteria. We aimed to validate the accuracy of qSOFA and the SIRS criteria for predicting in-hospital mortality in patients with suspected infection in the emergency department. A prospective study was conducted including participants with suspected infection who were hospitalised or died in 34 emergency departments in Japan. Prognostic accuracy of qSOFA and SIRS criteria for in-hospital mortality was assessed by the area under the receiver operating characteristic (AUROC) curve. Of the 1060 participants, 402 (37.9%) and 915 (86.3%) had qSOFA ≥ 2 and SIRS criteria ≥ 2 (given thresholds), respectively, and there were 157 (14.8%) in-hospital deaths. Greater accuracy for in-hospital mortality was shown with qSOFA than with the SIRS criteria (AUROC: 0.64 versus 0.52, difference + 0.13, 95% CI [+ 0.07, + 0.18]). Sensitivity and specificity for predicting in-hospital mortality at the given thresholds were 0.55 and 0.65 based on qSOFA and 0.88 and 0.14 based on SIRS criteria, respectively. To predict in-hospital mortality in patients visiting to the emergency department with suspected infection, qSOFA was demonstrated to be modestly more accurate than the SIRS criteria albeit insufficiently sensitive.Clinical Trial Registration: The study was pre-registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000027258).


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18618-e18618
Author(s):  
Alexander S. Qian ◽  
Edmund M. Qiao ◽  
Vinit Nalawade ◽  
Rohith S. Voora ◽  
Nikhil V. Kotha ◽  
...  

e18618 Background: Cancer patients frequently utilize the Emergency Department (ED) for a variety of diagnoses, both related and unrelated to their cancer. Patients with cancer have unique risks related to their cancer and treatment which could influence ED-related outcomes. A better understanding of these risks could help improve risk-stratification for these patients and help inform future interventions. This study sought to define the increased risks cancer patients face for inpatient admission and hospital mortality among cancer patients presenting to the ED. Methods: From the National Emergency Department Sample (NEDS) we identified patients with and without a diagnosis of cancer presenting to the ED between 2016 and 2018. We used International Classification of Diseases, version 10 (ICD10-CM) codes to identify patients with cancer, and to identify patient’s presenting diagnosis. Multivariable mixed-effects logistic regression models assessed the influence of cancer diagnoses on two endpoints: hospital admission from the ED, and inpatient hospital mortality. Results: There were 340 million weighted ED visits, of which 8.3 million (2.3%) occurred in patients with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). Factors associated with both an increased risk of hospitalization and death included older age, male gender, lower income level, discharge quarter, and receipt of care in a teaching hospital. We identified the top 15 most common presenting diagnoses among cancer patients, and among each of these diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2; all p < 0.05) and death (OR range 2.1-14.4; all p < 0.05) compared to non-cancer patients with the same diagnosis. Within the cancer patient cohort, cancer site was the most robust individual predictor associated with risk of hospitalization or death, with highest risk among patients with metastatic cancer, liver and lung cancers compared to the reference group of prostate cancer patients. Conclusions: Cancer patients presenting to the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions tailored to improve outcomes in the ED setting.


BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e030922 ◽  
Author(s):  
Narani Sivayoham ◽  
Lesley A Blake ◽  
Shafi E Tharimoopantavida ◽  
Saad Chughtai ◽  
Adil N Hussain ◽  
...  

ObjectiveTo derive and validate a new clinical prediction rule to risk-stratify emergency department (ED) patients admitted with suspected sepsis.DesignRetrospective prognostic study of prospectively collected data.SettingED.ParticipantsPatients aged ≥18 years who met two Systemic Inflammatory Response Syndrome criteria or one Red Flag sepsis criteria on arrival, received intravenous antibiotics for a suspected infection and admitted.Primary outcome measureIn-hospital all-cause mortality.MethodThe data were divided into derivation and validation cohorts. The simplified-Mortality in Severe Sepsis in the ED score and quick-SOFA scores, refractory hypotension and lactate were collectively termed ‘component scores’ and cumulatively termed the ‘Risk-stratification of ED suspected Sepsis (REDS) score’. Each patient in the derivation cohort received a score (0–3) for each component score. The REDS score ranged from 0 to 12. The component scores were subject to univariate and multivariate logistic regression analyses. The receiver operator characteristic (ROC) curves for the REDS and the components scores were constructed and their cut-off points identified. Scores above the cut-off points were deemed high-risk. The area under the ROC (AUROC) curves and sensitivity for mortality of the high-risk category of the REDS score and component scores were compared. The REDS score was internally validated.Results2115 patients of whom 282 (13.3%) died in hospital. Derivation cohort: 1078 patients with 140 deaths (13%). The AUROC curve with 95% CI, cut-off point and sensitivity for mortality (95% CI) of the high-risk category of the REDS score were: derivation: 0.78 (0.75 to 0.80); ≥3; 85.0 (78 to 90.5). Validation: 0.74 (0.71 to 0.76); ≥3; 84.5 (77.5 to 90.0). The AUROC curve and the sensitivity for mortality of the REDS score was better than that of the component scores. Specificity and mortality rates for REDS scores of ≥3, ≥5 and ≥7 were 54.8%, 88.8% and 96.9% and 21.8%, 36.0% and 49.1%, respectively.ConclusionThe REDS score is a simple and objective score to risk-stratify ED patients with suspected sepsis.


2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S90-S90
Author(s):  
Kaitlin A Pruskowski ◽  
Leopoldo C Cancio

Abstract Introduction Hydroxocobalamin is administered to patients after injures sustained during structure fires or fires in enclosed spaces. It is unknown how the administration of hydroxocobalamin affects patient outcomes, however, there have been reports of increased risk of acute kidney injury (AKI). The purpose of this study was to determine the population in which hydroxocobalamin is administered and to assess outcomes in patients who receive this medication in the ICU setting. Methods This was a retrospective chart review that included all patients admitted to the burn ICU between July 2016 and April 2019. Patients were included if they received hydroxocobalamin after ICU admission. Patients who received hydroxocobalamin in the pre-ICU or pre-hospital setting were not included in this analysis. Data collected included demographic information, number of hydroxocobalamin doses administered, burn size (% TBSA), presence of inhalation injury (II), lactate levels during the first 72 hours of hospitalization, carboxyhemoglobin levels, need for continuous renal replacement therapy (CRRT), and in-hospital mortality. Results Thirty-five patients received hydroxocobalamin after ICU admission. Patients were, on average, 48 ± 19 years old with a 25.5 ± 24.8% TBSA burn. Twenty-nine patients (82.9%) who received hydroxocobalamin in the ICU were diagnosed with II via bronchoscopy. The median 24-hour fluid resuscitation requirement was 7.4 mL/kg/% TBSA (IQR 4.6, 12.7). Twenty-two patients (63%) who received hydroxocobalamin developed AKI during the first 72 hours of admission. Twenty-one patients (60%) required CRRT during their hospital stay; 42.8% of patients were started on CRRT during the resuscitation period. The mean admission lactate level was 4.4 ± 2.3 mmol/L. On average, lactate clearance occurred in 34.6 hours; 11 (31.4%) patients did not clear lactate within 72 hours. One patient had a carboxyhemoglobin level greater than 10% on admission. Ten (28.9%) patients died during their hospital stay. Conclusions Most patients who receive hydroxocobalamin after ICU admission developed AKI within the first 72 hours. Further studies on the relationship between the administration of hydroxocobalamin and the development of AKI and in-hospital mortality are warranted. Applicability of Research to Practice The use of hydroxocobalamin may carry an increased risk of AKI. Providers should be aware of this risk when prescribing this medication.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Xiaowei Ojanen ◽  
Moritz Schumann ◽  
Shenglong Le ◽  
Yuan Zhang ◽  
Tao Huang ◽  
...  

Objective Lactic acidosis is typically caused by an imbalance in lactic metabolism. This may be attributed to several reasons and is usually a result of complex interactions. There may be an increased risk for lactic acidosis in type 2 diabetes mellitus (T2D) patients when metformin treatment and physical exercise are combined since both metformin and exercise acutely affect lactic metabolism. As timing of exercise following metformin ingestion may determine the magnitude of long-term metabolic adaptations, this study aimed to test the acute effects of exercise performed at different times following metformin ingestion on lactic metabolism in T2D patients with a randomized crossover time series study design. Methods Participants were recruited from two clinical health-care centers in China using a two-step screening procedure. First, approximately 2 523 patients with T2D were screened from the local diabetes database and clinical outpatient registration with inclusion criteria being men and women (30–65 years old) diagnosed with T2D no more than 5 years ago and treated with metformin (maximal daily dose of 2000 mg). Out of 100 potential participants who met the inclusion criteria, 56 were interested and invited to a laboratory visit. Finally, 34 patients participated in the study and of those, 26 patients (14 women and 12 men, mean age = 53.8 ± 8.6 years) completed all testing procedures. All patients visited the laboratory on 4 occasions, each separated by at least 48 hours. Initially a control visit was performed and consisted of metformin administration only (Metf) and a maximal incremental cycle ergometer test in the afternoon. Thereafter, all participants performed a high-intensity interval training session (HIIT, 3 minutes at 40% followed by 1 minute of 85% of maximum power output) 30 minutes (EX30), 60 minutes (EX60), and 90 minutes (EX90) post breakfast and metformin administration, respectively, in a randomized order. Serum lactate and glucose concentrations were assessed enzymatically, while insulin was assessed by an electrochemiluminescence immunoassay and superoxide dismutase (SOD) activity was determined by spectrophotometry. Measurements were performed before breakfast as well as both before and immediately after each exercise bout. In addition, capillary blood glucose concentrations were measured immediately after sampling using Omron AS1 glucose test strips (HGM-114) and lactate concentrations were assessed by ARKRAY Lactate Pro 2 test strips throughout each measurement day. Dietary intake was standardized on the evening prior to each laboratory day as well as between 8:00 a.m. and 4:00 p.m. during each testing day. This trial is registered with ChiCTR-IOR-16008469 on 13th of May 2016. Results During all three-exercise sessions, the capillary lactate concentrations were significantly increased to a similar extent. However, sixty minutes following metformin administration, serum lactate levels began to accumulate to the highest level, where 30% of patients showed lactate concentrations above resting values (≥2 mmol·L-1). The increased lactate concentrations were statistically associated with increased glucose when exercise was performed 60 minutes post metformin administration (r=0.384, p=0.048). Furthermore, in EX60 and EX90 lactate concentrations were 19% and 8% higher, respectively, compared to EX30. In addition, we found that after exercise but not before exercise, the lactate level was positively correlated with SOD (EX30 r=0.478 and p=0.012, EX60 r=0.562 and p=0.002, EX90 r=0.562 and p=0.003, respectively). Conclusions We found that the changes of lactate concentrations were related to the timing of exercise post meal and after metformin ingestion. Thus, timing of exercise appears to be an important factor to be considered when prescribing exercise for T2D patients treated with metformin. In the present study, the optimal timing of HIIT exercise was 30 minutes after metformin administration, which was indicated by a minimized fluctuation of both glucose and lactate levels in T2D patients. Our results also suggest that lactic metabolism and oxidative stress could be among the main underlying molecular mechanisms that elucidate the combinational therapy of exercise and metformin treatment on T2D. Since both acute exercise and metformin may induce opposite effects on ATP production and reactive oxygen species formation, it is important to conduct further studies in an attempt to define the “safe time” for exercise after metformin administration.


Author(s):  
Avadhesh Kumar Sharma ◽  
Nandakumar Beke ◽  
Dattatray Patki ◽  
Arun Bahulikar ◽  
Deepak Sadashiv Phalgune

Introduction: Patients with elevated serum lactate levels may be at risk for considerable morbidity and mortality and require a prompt, thoughtful and systematic approach for diagnosis and treatment. Aim: To find an association of on admission arterial serum lactate with outcome in Intensive Care Unit (ICU) patients. Materials and Methods: This observational cohort study was conducted on 168 patients at Poona Hospital and Research Centre, Pune, India, between June 2018 to November 2019 after obtaining Institutional Ethical Clearance. The patients included were above 18 years of age who had Systolic Blood Pressure (SBP) <90 mmHg, Heart Rate (HR) >100/min and Respiratory Rate (RR) >20/min. The arterial serum lactate level were examined on the day of admission, 12 hours and 24 hours. The need of ionotropic support, duration of ICU stay and mortality in one month was noted. The primary outcome measures were to study the association of on admission arterial serum lactate level with a duration of ICU stay and in-hospital mortality, whereas the secondary outcome measure was to study the association of on admission arterial serum lactate with the requirement of ionotropic support. Analysis of data was done using Statistical Package for Social Sciences for Windows, version 20.0. Results: The incidence in-hospital mortality was 20 (22.7%) out of 88 and 3 (3.8%) out of 80 in patients whose serum lactate levels on admission were >36 mg/dL and ≤36 mg/dL, respectively (p-value=0.002). The median duration of ICU stay was six and three days in patients whose serum lactate levels on admission were >36 mg/dL and ≤36 mg/dL, respectively (p-value=0.001). A 87 (98.9%) patients whose serum lactate levels >36 mg/dL on admission had the higher requirement of inotropes as compared to 35 (50.7%) patients whose serum lactate levels were ≤36 mg/dL. The percentage of patients whose serum lactate level >36 mg/dL, had a significantly higher Quick Sequential Organ Failure Assessment (qSOFA) scores and higher Shock Index (SI). There was a statistically significant positive correlation between serum lactate levels and qSOFA score (r=0.555) and SI (r=0.559). Conclusion: Initial serum lactate level was associated with higher in-hospital mortality, the higher requirement of inotropic support and longer duration of ICU stay.


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