Disparities in prehospital and emergency surgical care among patients with perforated ulcers and a history of mental illness: a nationwide cohort study.

PURPOSE: To compare patients with and without a history of mental illness on process and outcome measures in relation to prehospital and emergency surgical care for patients with perforated ulcer. METHODS: A nationwide registry-based cohort study of patients undergoing emergency surgery for perforated ulcer. We used data from the Danish Prehospital Database 2016-2017 and the Danish Emergency Surgery Registry 2004-2018 combined with data from other Danish databases. Patients were categorized according to severity of mental health history. RESULTS: We identified 4.767 patients undergoing emergency surgery for perforated ulcer. Among patients calling the EMS with no history of mental illness, 51% were identified with abdominal pain when calling the EMS compared to 31% and 25% among patients with a history of moderate and major mental illness, respectively. Median time from hospital arrival to surgery was 6.0 h (IQR: 3.6;10.7). Adjusting for age, sex and comorbidity, patients with a history of major mental illness underwent surgery 46 min (95% CI: 4;88) later compared to patients with no history of mental illness. Median number of days-alive-and-out-of-hospital at 90-day follow-up was 67 days (IQR: 0;83). Adjusting for age, sex and comorbidity, patients with a history of major mental illness had 9 days (95% CI: 4;14) less alive and out-of-hospital at 90-day follow-up. CONCLUSION: One-third of the population had a history of mental illness or vulnerability. Patients with a history of major mental illness were less likely to be identified with abdominal pain if calling the EMS prior to arrival. They had longer delays from hospital arrival to surgery and higher mortality.

Multi-morbid patients with co-existing mental and physical illness.

This review investigates the mortality gap that exists between people with or people without mental illness. Poor physical health is the leading cause of excess mortality among people with mental illness. Mental disorders increase the risk of developing a broad range of physical diseases and the risk of death caused by somatic diseases is increased. Also, mental disorder is associated with less optimal treatment in the somatic healthcare system, which is also evident within a broad spectrum of somatic diseases. The role of structural factors such as the design of the healthcare system and stigma are developing.

Disparities in Reperfusion Therapy and Time Delays Among Patients With Ischemic Stroke and a History of Mental Illness.

BACKGROUND: Comorbid mental illness may delay recognition of stroke symptoms and reduce the chance of reperfusion therapy. The aim of this study was to compare the use of reperfusion therapy and treatment delays in patients with or without a history of mental illness. METHODS: A nationwide registry-based cohort study of patients with ischemic stroke. We combined data from the Danish Stroke Registry and the Danish Quality Database for Prehospital Emergency Medical Services from 2016 to 2017 containing information on reperfusion therapy (thrombolysis or thrombectomy) and relevant time stamps. Patients were categorized according to the severity of their mental health history (how recent and severity, for example, hospital- versus primary-based care). RESULTS: A total of 19 592 admissions were included (18% had a minor, 3% had a moderate, and 3% had a history of major mental illness). Significant differences were found regarding age, comorbidity, and socioeconomic factors. Reperfusion therapy was used in 17% of patients. Patients with a history of mental illness were less likely to receive reperfusion therapy: risk ratios with 95% CI were 0.79 (0.72-0.86) for minor, 0.85 (0.72-0.99) for moderate, and 0.63 (0.51-0.77) for patients with a history major mental illness, respectively. Total prehospital delay was longer for patients with a history of major mental illness compared to patients with no history of mental illness, especially when no call had been made to the emergency medical service. The median times from symptom onset to hospital arrival was 811 minutes (197-2845) and 115 minutes (41-188), respectively. We found no differences regarding door-to-needle time, response time, on-scene time, transport time, nor in time-to-imaging among patients arriving within 4 hours from symptoms onset between patients with and without a history of mental illness. CONCLUSIONS: Almost one-quarter of patients with ischemic stroke had a history of mental illness. Regardless of severity of mental illness, these patients were less likely to receive reperfusion therapy. Longer delays from symptom onset to hospital arrival contributed to the patients' risk of not being eligible for reperfusion therapy.

Socioeconomic Disparities in Prehospital Emergency Care in a Danish Tax-Financed Healthcare System: Nationwide Cohort Study.

Background: Differences related to socioeconomic status (SES) in use of prehospital emergency medical services (EMS) have been reported. However, detailed data on potential disparities in the quality of the EMS according to SES are lacking. Methods: A nationwide cohort study of medical emergency calls made to the Danish emergency number 1-1-2 in the period 2016-2017. To measure quality of care, performance indicators from the Danish Quality Registry for Prehospital Emergency Medical Services were used. SES was based on income, education and adherence to workforce. Poisson regression was used to measure relative risk (RR). Results: We included 388,378 medical 1-1-2 calls, of which 261,771 were unique individuals; 42% of the calls concerned patients with low education, 5% concerned patients living in relative poverty and 23% concerned patients receiving social subsidy. There were no significant differences between the SES regarding time span for arrival of first EMS units. However, patients receiving social subsidy and retired people were more likely to be released at scene and to call again within 24 hours: Adjusted RRs were 2.79 [2.20; 3.54] and 2.08 [1.58; 2.75], respectively, compared with patients having a job. In addition, patients receiving social subsidy and retired people were more likely to call again within 24 hours after receiving telephone advice only: Adjusted RRs 2.35 [1.95; 2.82] and 1.88 [1.51; 2.35], respectively compared with patients having a job. Adjusted RRs for unplanned hospital contact after being treated and released at scene were higher for patients receiving social subsidy and retired people, respectively, relative to patients having a job. Conclusion: Patients with low SES were significantly more likely to contact the hospital or EMS again after their first call or after treatment and release at scene compared with patients with high SES. This indicates that callers with low SES did not receive the appropriate help.

Analysis of Suicides Reported as Adverse Events in Psychiatry Resulted in Nine Quality Improvement Initiatives.

Background: The majority of persons who die by suicide have a mental disorder. Preventive strategies should include addressing social and psychological factors and the treatment of the mental disorder. Aim: We aimed to identify breaches in clinical care and identify areas for quality improvement initiatives. Method: An aggregate analysis of suicides reported as adverse events during 2012-2016 to Psychiatry, North Denmark Region was carried out. We developed an audit chart and identified items through (a) medical chart review and (b) consensus meetings in an expert panel. Results: A total of 35 cases were analyzed. Suicide risk assessments were adequately documented in the medial chart in six of 35 cases. Risk assessments emphasized suicidal ideation rather than well-known risk factors such as previous suicide attempts, substance abuse, physical illness, or job loss. Relatives were involved in four of 35 of the risk assessments. The panel suggested nine areas for quality improvement. Limitations: Most people who die by suicide are not seen in mental health facilities prior to suicide, and hence conclusions can only be generalized to these patients. Information on the gap between "Work-as-Done" and "Work-As-Imagined" was not recognized. Conclusion: Most of the risk assessments among suicides reported as adverse events to our mental health facilities were insufficient. Quality improvement initiatives focusing on training, documentation, involving relatives, communication, and data sharing must be planned to improve clinical care.

From accreditation to quality improvement-The Danish National Quality Programme.

The Danish government launched a new National Quality Programme (NQP) in healthcare in 2015. It has changed the focus from old public management in terms of accreditation, regulation, rules and standards to new public governance focusing on delivering high quality healthcare and outcomes of value for the patients, health professionals and the Danish healthcare system. The NQP aims to strengthen the focus on continuous quality improvement and the launch of the programme was accompanied by a decision to phase out accreditation of public hospitals. The NQP includes 1) eight specific national quality goals, 2) a national educational programme for quality management, and 3) establishment of quality improvement collaboratives. Since the establishment of the NQP the indicator results have improved in several important clinical areas. However, causal conclusions related to the effect of the NQP cannot yet be made. This perspective on quality paper aims to give a short introduction to the NQP and documented outcomes.

Emergency Medical Services response levels and subsequent emergency contacts among patients with a history of mental illness in Denmark: a nationwide study.

BACKGROUND AND IMPORTANCE: People with mental illness have higher use of emergency services than the general population and may experience problems with navigating in complex healthcare systems. Poor physical health contributes to the excess mortality among the mentally ill. OBJECTIVE: To compare the level of Emergency Medical Services (EMS) response and subsequent contacts emergency between patients with and without a history of mental illness. DESIGN, SETTING, AND PARTICIPANTS: A nationwide cohort study was conducted in Denmark including medical 1-1-2 calls 2016 2017. The healthcare system is financed through taxation allowing free access to healthcare services including ambulance services. EXPOSURE: Exposed groups had a history of major, moderate, or minor mental illness. OUTCOME MEASURES AND ANALYSIS: We studied seven national prehospital care Performance Indicators (PI 1-7). The selected PI concerned EMS response levels and subsequent contacts to prehospital and in-hospital services. Exposed groups were compared to nonexposed groups using regression analyses. RESULTS: We included 492 388 medical 1-1-2 calls: 8, 10, and 18% of calls concerned patients with a history of major, moderate, or minor mental illness, respectively.There were no clinically relevant differences regarding response times (PI 1-2) or registration of symptoms (PI 3) between groups.If only telephone advice was offered, patients with a history of major, moderate or minor mental illness were more likely to recall within 24 h (PI 4): adjusted risk ratio (RR) 2.11 (1.88-2.40), 1.96 (1.20-2.21), and 1.38 (1.20-1.60), but less or equally likely to have an unplanned hospital contact within 7 days (PI 6): adjusted RRs 1.05 (0.99-1.12), 1.04 (0.99-1.10), and 0.90 (0.85-0.94), respectively.If released at the scene, the risk of recalling (PI 5) or having an unplanned hospital contact (PI 7) was higher among patients with a history of mental illness: adjusted RRs 2.86 (2.44-3.36), 2.41 (2.05-2.83), and 1.57 (1.35-1.84), and adjusted RRs 2.10 (1.94-2.28), 1.68 (1.55-1.81), and 1.25 (1.17-1.33), respectively.Patients with a history of mental illness were more likely to receive telephone advice only adjusted RRs 1.61 (1.53-1.70), 1.30 (1.24-1.37), and 1.08 (1.04-1.13), and being released at scene adjusted RRs 1.11 (1.08-1.13), 1.03 (1.01-1.04), and 1.05 (1.03-1.07). CONCLUSION: More than one-third of the study population had a history of mental illness. These patients received a significantly lighter EMS response than patients with no history of mental illness. They were significantly more likely to use the emergency care system again if released at scene. This risk increased with the increasing severity of the mental illness.

Including oxygen supplement in the early warning score: a prediction study comparing TOKS, modified TOKS and NEWS in a cohort of emergency patients.

BACKGROUND: Early warning scores (EWS) are widely used in emergency departments and on general wards to detect critical illness and deterioration. TOKS ("Tidlig Opsporing af Kritisk Sygdom") is an early warning score used in Central Denmark Region to monitor hospitalized patients. The objective of this study is to investigate whether inclusion of supplement in the TOKS algorithm (modified TOKS; mTOKS), would improve the ability to predict 7-day mortality. Secondarily, we compare the discriminatory ability between TOKS, mTOKS and the National Early Warning Score (NEWS). METHODS: This is a prediction study including a cohort of adult patients who attended an emergency department in Central Denmark Region during a 3-month period in 2015. The discriminatory ability of TOKS, mTOKS and NEWS was evaluated by calculating the area under the receiver operating characteristics- curve (AUROC) with 7-day mortality as outcome. mTOKS was defined by adding 2 points for oxygen supplement to the normal TOKS score. RESULTS: 18.853 patients were included. AUROC for TOKS: 0,78 (95%-CI: 0,76-0,81). AUROC for mTOKS: 0,81 (95 %-CI: 0,78-0,83). AUROC for NEWS: 0,83 (95%-CI: 0,80-0,85). The predictive ability of all three early warning scores are statistically significantly different from each other (p-value < 0,01). CONCLUSION: The discriminatory ability of TOKS improved statistically by including oxygen supplement. All models showed moderate to good discriminatory ability.

How comorbidities impact Early Warning Score as a predictor of 7-day mortality.

BACKGROUND: Early Warning Score systems are used to monitor patients at risk of deterioration. How comorbidities impact Early Warning Score's ability to predict short-term mortality in the emergency department is not fully elucidated. The aim of the study was to investigate how comorbidities impact Early Warning Score as predictor of 7-day mortality. METHODS: This is an observational cohort study of adult emergency department patients attending one of the five emergency departments in Central Region Denmark from 1 March 2015 to 31 May 2015. Charlson Comorbidity Index was used as a measure of comorbidities. Logistic regression was used to calculate the odds ratio for 7-day mortality. Patients were compared in three groups: Charlson Comorbidity Index: 0, 1-2, 3+. RESULTS: A total of 30 060 adult patients attended one of the five emergency departments. Nineteen thousand one hundred twenty-three patients were included. Charlson Comorbidity Index 3+ patients presenting with Early Warning Score 0, 1-2 or 3-4 had significantly higher odds ratio of 7-day mortality compared to Charlson Comorbidity Index 0 patients with equal Early Warning Score. For patients with Early Warning Score 5+, Charlson Comorbidity Index -status had no significant impact on 7-day mortality after adjusting for age. CONCLUSION: In patients presenting with lower acuity (Early Warning Score 0-4) Charlson Comorbidity Index has a significant impact on 7-day mortality regardless of Early Warning Score. Including Charlson Comorbidity Index status in Early Warning Score or adjusting for Charlson Comorbidity Index -status could increase the predictive value of Early Warning Score in predicting 7-day mortality.

The 7-day mortality associated with an early warning score varies between age groups in a cohort of adult Danish emergency department patients.

INTRODUCTION: Early warning scores are designed for monitoring hospitalized patients and enable a timely response to deviating vital signs. The aim of this study was to examine whether 7-day mortality, associated with an initial early warning score, differs between age groups. Our hypothesis was that elderly patients are at greater risk of dying compared to a younger patient with a similar early warning score. METHODS: This observational cohort study included adult emergency department patients from five hospitals in Denmark over three consecutive months in 2015. Logistic regression was used to examine the relationship between patients' initial early warning scores category (0, 1-2, 3-4, 5-6, 7+) and 7-day mortality in different age groups (16-59 years, 60-79 years, 80+ years). Mortality rates in each early warning scores category are compared between the youngest patients (16-59 years, reference group) and the two older age groups (60-79 years and 80+ years). RESULTS: A total of 19 123 emergency patients were included. The senior age groups (60-79 years and 80+ years) both displayed significantly higher 7-day mortality, in all early warning score categories, when compared to the youngest patients (16-59 years). The mortality difference between the youngest (16-59 years) and oldest age group (80+ years) remained significant in all early warning scores categories after adjusting for comorbidity. CONCLUSION: Our findings show that the oldest emergency department patients (80+ years) have a higher 7-day mortality compared to young patients (16-59 years) with a similar initial early warning score.

The Danish database for acute and emergency hospital contacts.

AIM FOR DATABASE: Aim of the Danish database for acute and emergency hospital contacts (DDAEHC) is to monitor the quality of care for all unplanned hospital contacts in Denmark (acute and emergency contacts). STUDY POPULATION: The DDAEHC is a nationwide registry that completely covers all acute and emergency somatic hospital visits at individual level regardless of presentation site, presenting complaint, and department designation since January 1, 2013. MAIN VARIABLES: The DDAEHC includes ten quality indicators - of which two are outcome indicators and eight are process indicators. Variables used to compute these indicators include among others day and time of hospital contact, vital status, ST-elevation myocardial infarction diagnosis, date and time of relevant procedure (percutaneous coronary intervention, coronary angiography, X-ray of wrist, and gastrointestinal surgery) as well as time for triage and physician judgment. Data are currently gathered from The Danish National Patient Registry, two existing databases (Danish Stroke Register and Danish Database for Emergency Surgery), and will eventually include data from the local and regional clinical logistic systems. DESCRIPTIVE DATA: The DDAEHC also includes age, sex, Charlson Comorbidity Index conditions, civil status, residency, and discharge diagnoses. The DDAEHC expects to include 1.7 million acute and emergency contacts per year. CONCLUSION: The DDAEHC is a new database established by the Danish Regions including all acute and emergency hospital contacts in Denmark. The database includes specific outcome and process health care quality indicators as well as demographic and other basic information with the purpose to be used for enhancement of quality of acute care.

Site of infection and mortality in patients with severe sepsis or septic shock. A cohort study of patients admitted to a Danish general intensive care unit.

BACKGROUND: The search for the site of infection has high priority in patients with severe sepsis and septic shock. However, it is questionable whether mortality is associated with the specific site of infection in patients admitted to an intensive care unit (ICU). Therefore, the 30-day and 90-day mortalities in ICU patients admitted with suspected or confirmed community-acquired infection were studied. METHODS: A retrospective cohort study was conducted, including all adult patients admitted to a multi-specialty tertiary ICU with severe sepsis or septic shock from November 2008 to October 2010. The site of infection was classified according to criteria set for healthcare associated infections and infections in the acute care setting by Centers for Disease Control and Prevention (CDC). Kaplan-Meier curves and Poisson regression analysis were used to evaluate the association between site of infection and 30- and 90-day all-cause mortality, adjusting for age, sex and comorbidities. RESULTS: Three hundred and eighty-eight patients were included. One or more comorbidities were present in 76% of patients. Across all sites of infection, there were more patients with septic shock than patients with severe sepsis. The most frequent site of infection was pneumonia, followed by gastrointestinal infection. Urinary tract infection was found to be an independent predictor of mortality among septic ICU patients when adjusting for sex, age and comorbidities. CONCLUSIONS: The results suggest that identification of correct site of infection is important in the management of severe sepsis and septic shock.

A generic method for evaluating crowding in the emergency department.

BACKGROUND: Crowding in the emergency department (ED) has been studied intensively using complicated non-generic methods that may prove difficult to implement in a clinical setting. This study sought to develop a generic method to describe and analyse crowding from measurements readily available in the ED and to test the developed method empirically in a clinical setting. METHODS: We conceptualised a model with ED patient flow divided into separate queues identified by timestamps for predetermined events. With temporal resolution of 30 min, queue lengths were computed as Q(t + 1) = Q(t) + A(t) - D(t), with A(t) = number of arrivals, D(t) = number of departures and t = time interval. Maximum queue lengths for each shift of each day were found and risks of crowding computed. All tests were performed using non-parametric methods. The method was applied in the ED of Aarhus University Hospital, Denmark utilising an open cohort design with prospectively collected data from a one-year observation period. RESULTS: By employing the timestamps already assigned to the patients while in the ED, a generic queuing model can be computed from which crowding can be described and analysed in detail. Depending on availability of data, the model can be extended to include several queues increasing the level of information. When applying the method empirically, 41,693 patients were included. The studied ED had a high risk of bed occupancy rising above 100 % during day and evening shift, especially on weekdays. Further, a 'carry over' effect was shown between shifts and days. CONCLUSIONS: The presented method offers an easy and generic way to get detailed insight into the dynamics of crowding in an ED.

Selection of quality indicators for hospital-based emergency care in Denmark, informed by a modified-Delphi process.

BACKGROUND: In 2013, Danish policy-makers on a nationwide level decided to set up a national quality of care database for hospital-based emergency care in Denmark including the selection of quality indicators. The aim of the study was to describe the Delphi process that contributed to the selection of quality indicators for a new national database of hospital-based emergency care in Denmark. METHODS: The process comprised a literature review followed by a modified-Delphi survey process, involving a panel of 54 experts (senior clinicians, researchers and administrators from the emergency area and collaborating specialties). Based on the literature review, we identified 43 potential indicators, of which eight were time-critical conditions. We then consulted the Expert panel in two consecutive rounds. The Expert panel was asked to what extent each indicator would be a good measure of hospital-based emergency care in Denmark. In each round, the Expert panel participants scored each indicator on a Likert scale ranging from one (=disagree completely) through to six (=agree completely). Consensus for a quality indicator was reached if the median was greater than or equal to five (=agree). The Delphi process was followed by final selection by the steering group for the new database. RESULTS: Following round two of the Expert panel, consensus was reached on 32 quality indicators, including three time-critical conditions. Subsequently, the database steering group chose a set of nine quality indicators for the initial version of the national database for hospital-based emergency care. CONCLUSIONS: The two-round modified Delphi process contributed to the selection of an initial set of nine quality indicators for a new a national database for hospital-based emergency care in Denmark. Final selection was made by the database steering group informed by the Delphi process.

Prediction of bacteremia in the emergency department: an external validation of a clinical decision rule.

OBJECTIVE: The objective of this study was to validate a previously published clinical decision rule for predicting a positive blood culture in emergency department (ED) patients with suspected infection on the basis of major and minor criteria and a total score (Shapiro et al., J Emerg Med, 2008; 35:255-264). METHODS: This is a retrospective matched cohort study of adult ED patients with blood cultures obtained from 1 January 2011 through to 31 December 2011. ED patients with blood culture-confirmed bacteremia were matched 1 : 3 with patients with negative cultures. The outcome was 'true bacteremia'. Data on clinical history, comorbid illnesses, physical observations, and laboratory tests were used to evaluate the application of the clinical decision rule. We report the sensitivity, specificity, and area under the curve. RESULTS: Among 1526 patients, 105 (6.9%) patients were classified with true bacteremia. The sensitivity of the prediction rule was 94% (95% confidence interval, 88-98%) and the specificity was 48% (95% confidence interval, 42-53%). The area under the receiver-operating characteristics curve was 0.83. CONCLUSION: The clinical decision rule performed well in our ED setting and is likely to be a useful supplement to clinical judgment.

Predictors of intensive care unit transfer or death in emergency department patients with suspected infection.

OBJECTIVES: The aim of this study was to identify predictors of ICU transfer or death within 48 h obtainable within 4 h of admission in emergency department (ED) patients with suspected infection. PATIENTS AND METHODS: This was a nested case-control study based on a prospective cohort of adult patients admitted to the ED at Aarhus University Hospital, in 2011, who had a blood culture drawn upon admission. Cases met the composite endpoint of ICU transfer or death within 4-48 h of admission. We identified up to three controls for each case, matched by age and admission month. We collected data on possible predictors from medical records. Univariate and multivariate logistic regressions were performed to identify predictors. RESULTS: A total of 1578 patients had a blood culture drawn in the ED. Among these, 61 (4%) patients were transferred to an ICU and 15 (1%) patients died within 4-48 h of admission. We could obtain complete data on 59 cases, which were matched to 165 controls. Significant predictors of ICU transfer or death within 4-48 h included temperature as a continuous variable, and neurologic (altered mental status), respiratory, and cardiovascular dysfunction. CONCLUSION: Readily available clinical and laboratory variables at arrival in the ED can support identification of late deterioration leading to ICU transfer or death within 48 h of admission.

[Considerable regional differences in visitation and initial handling of acute cardiac patients in Denmark].

Danish emergency departments (EDs) are undergoing a reorganisation in which the EDs are changed to serve as the single portal of entry for all acute patients. This survey-based study evaluates the entry to the Danish hospitals for acute cardiac patients. In 62% of the EDs there is not a cardiologist on call around the clock, thus compromising the availability of echocardiography and cardiac supervision. The handling of cardiac patients varies and the quality in the visitation and admission of these patients fluctuates. Pre-hospital findings should be used consequently to triage cardiac patients.

Etiology and therapeutic approach to elevated lactate levels.

Lactate levels are commonly evaluated in acutely ill patients. Although most often used in the context of evaluating shock, lactate levels can be elevated for many reasons. While tissue hypoperfusion may be the most common cause of elevation, many other etiologies or contributing factors exist. Clinicians need to be aware of the many potential causes of lactate level elevation as the clinical and prognostic importance of an elevated lactate level varies widely by disease state. Moreover, specific therapy may need to be tailored to the underlying cause of elevation. The present review is based on a comprehensive PubMed search between the dates of January 1, 1960, to April 30, 2013, using the search term lactate or lactic acidosis combined with known associations, such as shock, sepsis, cardiac arrest, trauma, seizure, ischemia, diabetic ketoacidosis, thiamine, malignancy, liver, toxins, overdose, and medication. We provide an overview of the pathogenesis of lactate level elevation followed by an in-depth look at the varied etiologies, including medication-related causes. The strengths and weaknesses of lactate as a diagnostic/prognostic tool and its potential use as a clinical end point of resuscitation are discussed. The review ends with some general recommendations on the management of patients with elevated lactate levels.

[Danish emergency departments are not staffed by consultants 24/7]. / Speciallægen er ikke i front på de danske akutafdelinger.

The Danish health care system is undergoing a major reorganisation, resulting in fewer emergency departments (ED) with consultants in attendance 24/7. This questionnaire-based study evaluates the status of the reorganisation with emphasis on physician attendance and recruitment. 76% of the EDs are not staffed by consultants 24/7, 51% report difficulties in recruiting qualified personnel and 33% report problems connected to retaining them. 71% believe that a specialty in emergency medicine could help solve these problems. Danish EDs do not comply with the visions of the reorganisation plan.

Prevalence and characteristics of nonlactate and lactate expressors in septic shock.

PURPOSE: The study's objective was to determine the proportion and patient characteristics of patients in vasopressor-dependent septic shock who presented without lactatemia. METHODS: A retrospective review of patients presenting to an urban tertiary-care emergency department between December 2007 and September 2008 was conducted. Patients with a final diagnosis of septic shock requiring vasopressors were divided, based on initial lactate, to nonlactate expressors (0-2.4 mmol/L), intermediate (2.5-3.9 mmol/L), and high (>4.0 mmol/L) lactate groups. RESULTS: Among 123 patients with vasopressor-dependent septic shock, 55 (45%) were nonlactate expressors (lactate ≤ 2.4 mmol/L). Acute liver injury, history of liver disease, and presence of bacteremia were associated with elevated lactate. CONCLUSION: Almost one-half of patients with vasopressor-dependent septic shock did not express lactate on presentation, although a high mortality rate remains in this population. We found a significant association between lactate expressors and liver disease and between lactate expressors and positive blood cultures. The use of lactatemia as the sole indicator of need for additional intravenous fluid or an end point of resuscitation in septic shock may be inadequate.