Definition and Epidemiology of Sepsis

Here we review the epidemiology of sepsis, focusing on its definition, incidence, and mortality, as well as the demographic insights and risk factors that influence its occurrence and outcomes. We address how age, sex, and racial/ethnic disparities impact upon incidence and mortality rates. Sepsis is more frequent and severe among the elderly, males, and certain racial and ethnic groups. Poor socioeconomic status, geographic location, and pre-existing comorbidities also elevate the risk of developing and dying from sepsis. Seasonal variations, with an increased incidence during winter months, is also apparent. We delve into the predictive value of disease severity scores such as the Sequential Organ Failure Assessment score. We also highlight issues relating to coding and administrative data that can generate erroneous and misleading information, and the need for greater consistency. The Sepsis-3 definitions, offering more precise clinical criteria, are a step in the right direction. This overview will, we hope, facilitate understanding of the multi-faceted epidemiological characteristics of sepsis and current challenges.

Performance of hospital administrative data for detection of sepsis in Australia: The sepsis coding and documentation (SECOND) study

BACKGROUND

Sepsis is the world's leading cause of death and its detection from a range of data and coding sources, consistent with consensus clinical definition, is desirable.

OBJECTIVE

To evaluate the performance of three coding definitions (explicit, implicit, and newly proposed synchronous method) for sepsis derived from administrative data compared to a clinical reference standard.

METHOD

Extraction of administrative coded data from Australian metropolitan teaching hospital with 25,000 annual overnight admissions compared to clinical review of medical records; 313 (27.9%) randomly selected adult multi-day stay hospital separations from 1,123 separations with acute infection during July 2019. Estimated prevalence and performance metrics, including positive (PPV) and negative predictive values (NPV), and area under the receiver operator characteristic curve (ROC).

RESULTS

Clinical prevalence of sepsis was estimated at 10.7 (95% CI = 10.3-11.3) per 100 separations, and mortality rate of 11.6 (95% CI = 10.3-13.0) per 100 sepsis separations. Explicit method for case detection had high PPV (93.2%) but low NPV (55.8%) compared to the standard implicit method (74.1 and 66.3%, respectively) and proposed synchronous method (80.4% and 80.0%) compared to a standard clinical case definition. ROC for each method: 0.618 (95% CI = 0.538-0.654), 0.698 (95% CI = 0.648-0.748), and 0.802 (95% CI = 0.757-0.846), respectively.

CONCLUSION

In hospitalised Australian patients with community-onset sepsis, the explicit method for sepsis case detection underestimated prevalence. Implicit methods were consistent with consensus definition for sepsis, and proposed synchronous method had better performance.

Trends in mortality after a sepsis hospitalization: a nationwide prospective registry study from 2008 to 2021

BACKGROUND

Few studies have reported on mortality beyond one year after sepsis. We aim to describe trends in short- and long-term mortality among patients admitted with sepsis, and to describe the association between clinical characteristics and mortality for improved monitoring, treatment and prognosis.

METHODS

Patients ≥ 18 years admitted to all Norwegian hospitals (2008-2021) with a first sepsis episode were identified using Norwegian Patient Registry and International Classification of Diseases 10th Revision codes. Sepsis was classified as implicit (known infection site plus organ dysfunction), explicit (unknown infection site), or COVID-19-related sepsis. The outcome was all-cause mortality. We describe age-standardized 30-day, 90-day, 1-, 5- and 10-year mortality for each admission year and estimated the annual percentage change with 95% confidence interval (CI). The association between clinical characteristics and all-cause mortality is reported as hazard ratios (HRs) adjusted for age, sex and calendar year in Cox regression.

RESULTS

The study included 222,832 patients, of whom 127,059 (57.1%) had implicit, 92,928 (41.7%) had explicit, and 2,845 (1.3%) had COVID-19-related sepsis (data from 2020 and 2021). Trends in overall age-standardized 30-day, 90-day, 1- and 5-year mortality decreased by 0.29 (95% CI - 0.39 to - 0.19), 0.43 (95% CI - 0.56 to - 0.29), 0.61 (95% CI - 0.73 to - 0.49) and 0.66 (95% CI - 0.84 to - 0.48) percent per year, respectively. The decrease was observed for all infections sites but was largest among patients with respiratory tract infections. Implicit, explicit and COVID-19-related sepsis had largely similar overall mortality, with explicit sepsis having an adjusted HR of 0.980 (95% CI 0.969 to 0.991) and COVID-19-related sepsis an adjusted HR of 0.916 (95% CI 0.836 to 1.003) compared to implicit sepsis. Patients with respiratory tract infections have somewhat higher mortality than those with other infection sites. Number of comorbidities was positively associated with mortality, but mortality varied considerably between different comorbidities. Similarly, number of acute organ dysfunctions was strongly associated with mortality, whereas the risk varied for each type of organ dysfunction.

CONCLUSION

Overall mortality has declined over the past 14 years among patients with a first sepsis admission. Comorbidity, site of infection, and acute organ dysfunction are patient characteristics that are associated with mortality. This could inform health care workers and raise the awareness toward subgroups of patients that needs particular attention to improve long-term mortality.

Long-term temporal trends in incidence rate and case fatality of sepsis and COVID-19-related sepsis in Norwegian hospitals, 2008-2021: a nationwide registry study

OBJECTIVES

To estimate temporal trends in incidence rate (IR) and case fatality during a 14-year period from 2008 to 2021, and to assess possible shifts in these trends during the COVID-19 pandemic.

SETTING

All Norwegian hospitals 2008-2021.

PARTICIPANTS

317 705 patients ≥18 year with a sepsis International Classification of Diseases 10th revision code retrieved from The Norwegian Patient Registry.

PRIMARY AND SECONDARY MEASURES

Annual age-standardised IRs with 95% CIs. Poisson regression was used to estimate changes in IRs across time, and logistic regression was used to estimate ORs for in-hospital death.

RESULTS

Among 12 619 803 adult hospitalisations, a total of 317 705 (2.5%) hospitalisations in 222 832 (70.0%) unique patients met the sepsis criteria. The overall age-standardised IR of a first sepsis admission was 246/100 000 (95% CI 245 to 247), whereas the age-standardised IR of all sepsis admissions was 352/100 000 (95% CI 351 to 354). In the period 2009-2019, the annual IR for a first sepsis episode was stable (IR ratio (IRR) per year, 0.999; 95% CI 0.994 to 1.004), whereas for recurrent sepsis the IR increased (annual IRR, 1.048; 95% CI 1.037 to 1.059). During the COVID-19 pandemic, the IRR for a first sepsis was 0.877 (95% CI 0.829 to 0.927) in 2020 and 0.929 (95% CI 0.870 to 0.992) in 2021, and for all sepsis it was 0.870 (95% CI 0.810 to 0.935) in 2020 and 0.908 (95% CI 0.840 to 0.980) in 2021, compared with the previous 11-year period. Case fatality among first sepsis admissions declined in the period 2009-2019 (annual OR 0.954 (95% CI 0.950 to 0.958)), whereas case fatality increased during the COVID-19 pandemic in 2020 (OR 1.061 (95% CI 1.001 to 1.124) and in 2021 (OR 1.164 (95% CI 1.098 to 1.233)).

CONCLUSION

The overall IR of sepsis increased from 2009 to 2019, due to an increasing IR of recurrent sepsis, and indicates that sepsis awareness with updated guidelines and education must continue.

Radiomic analysis of abdominal organs during sepsis of digestive origin in a French intensive care unit

BACKGROUND

Sepsis is a severe and common cause of admission to the intensive care unit (ICU). Radiomic analysis (RA) may predict organ failure and patient outcomes. The objective of this study was to assess a model of RA and to evaluate its performance in predicting in-ICU mortality and acute kidney injury (AKI) during abdominal sepsis.

METHODS

This single-center, retrospective study included patients admitted to the ICU for abdominal sepsis. To predict in-ICU mortality or AKI, elastic net regularized logistic regression and the random forest algorithm were used in a five-fold cross-validation set repeated 10 times.

RESULTS

Fifty-five patients were included. In-ICU mortality was 25.5%, and 76.4% of patients developed AKI. To predict in-ICU mortality, elastic net and random forest models, respectively, achieved areas under the curve (AUCs) of 0.48 (95% confidence interval [CI], 0.43-0.54) and 0.51 (95% CI, 0.46-0.57) and were not improved combined with Simplified Acute Physiology Score (SAPS) II. To predict AKI with RA, the AUC was 0.71 (95% CI, 0.66-0.77) for elastic net and 0.69 (95% CI, 0.64-0.74) for random forest, and these were improved combined with SAPS II, respectively; AUC of 0.94 (95% CI, 0.91-0.96) and 0.75 (95% CI, 0.70-0.80) for elastic net and random forest, respectively.

CONCLUSIONS

This study suggests that RA has poor predictive performance for in-ICU mortality but good predictive performance for AKI in patients with abdominal sepsis. A secondary validation cohort is needed to confirm these results and the assessed model.

Comparison of APACHE II and APACHE IV score as predictors of mortality in patients with septic shock in intensive care unit: A prospective observational study

Background and Aims

Prediction of outcome in intensive care unit (ICU) patients is of imperative importance. Our aim was to assess and compare the performance of Acute Physiology and Chronic Health Evaluation (APACHE) II and APACHE IV scores in predicting mortality in adult patients suffering from septic shock admitted to our ICU.

Material and Methods

This was a prospective observational study conducted in a 14-bedded medical ICU of a tertiary care center from January 2019 to March 2020; 128 patients suffering from septic shock were included and APACHE II and IV scores were calculated. We also calculated the predicted and actual mortality rates and standardized mortality ratios. The receiver operating characteristic curves were used to assess discrimination.

Results

Out of the 128 patients, 63 patients (49.21%) died. The mean (± standard deviation) admission APACHE II score was 16.7 ± 5.53, while the mean APACHE IV score was 67.25 ± 25.99. The non-survivors had significantly higher APACHE II and IV scores when compared to those who survived (P < 0.001). APACHE II had a slightly better discriminative power (with the area under the Receiver operating characteristic (ROC) curve of 0.78) than APACHE IV (with the area under the ROC curve of 0.74). The mean predicted mortality rate (PMR) of the patient population calculated on the basis of the APACHE II scoring system was 22.46 ± 15.76, and the mean PMR calculated as per the APACHE IV scoring system was 11.64 ± 15.59.

Conclusion

Both APACHE II and APACHE IV underestimated mortality in septic shock patients. Both APACHE II and APACHE IV were comparable in differentiating survivors from non-survivors. However, there was a good correlation between the two models.

Facilitators and barriers of appropriate and timely initial fluid administration in sepsis: A qualitative study

BACKGROUND

Sepsis is a medical emergency requiring prompt recognition, and early administration of intravenous fluids and antibiotics. While compliance with appropriate and timely administration of intravenous fluids has been found to be poor, the reasons are not well understood. Therefore, we have explored the experiences and perceptions of emergency nurses and medical officers from four hospitals to identify the associated facilitators and barriers.

METHODS

Qualitative design incorporating six focus group discussions and thematic analysis of data. A hybrid approach using both inductive and deductive reasoning was used.

FINDINGS

Four key themes were developed: 1. Overcrowding and understaffing threaten appropriate fluid management in sepsis; 2. Variations in clinical practice results in suboptimal fluid management; 3. Challenges with clinical recognition of sepsis impedes timely fluid administration; 4. Top-down approach is necessary to improve fluid management.

CONCLUSION

Themes highlighted the specific challenges associated with fluid administration in sepsis in the emergency department setting providing potential strategies to be implemented to improve practice and ultimately patient outcomes.

The association between ventriculostomy - Related infection and clinical outcomes: A systematic review and meta-analysis

BACKGROUND

Ventriculostomy - related infection (VRI) is a common complication of patients who require placement of an external ventricular drain (EVD). The clinical outcomes of people who are diagnosed with VRI is poorly characterised. We performed a systematic review and meta-analysis to assess the association between VRI, and clinical outcomes and resource use, in patients treated with an EVD.

METHODS

We searched MEDLINE, EMBASE, CINAHL and the Cochrane Central Register of clinical trials to identify clinical trial and cohort studies that reported outcomes including mortality, functional outcome, duration of EVD insertion, and intensive care and hospital length of stay. Inclusion criteria and data extraction were conducted in duplicate. Where sufficient data were available, data synthesis was conducted using a random effects model to provide a pooled estimate of the association between VRI and clinical outcomes and resource use. We also pooled data to provide an estimate of the incidence of VRI in this population.

RESULTS

Nineteen studies including 38,247 patients were included in the meta-analysis. There were twelve different definitions of VRI in the included studies. The pooled estimate of the incidence of VRI was 11 % (95 % confidence interval (CI), 9 % to 14 %). A diagnosis of VRI was not associated with an increase in the estimated odds ratio (OR) for mortality (OR 1.07, 95 % CI 0.59 to 1.92, p = 0.83 I² = 83.5 %), nor was a diagnosis of VRI associated with changes in neurological outcome (OR 1.42, 95 % CI 0.36 to 5.56, p = 0.89, I² = 0.3 %). Those diagnosed with VRI had longer intensive care unit length of stay (estimated pooled mean difference 8.4 days 95 % CI 3.4 to 13.4 days, p = 0.0009, I² = 78.7 %) an increase in hospital length of stay (estimated mean difference 16.4 days. 95 % CI 11.6 to 21.2 days, p < 0.0005, I² = 76.6 %), a prolonged duration of EVD placement (mean difference 5.24 days, 95 % CI 3.05 to 7.43, I² = 78.2 %, p < 0.01), and an increased requirement for an internal ventricular shunt (OR 1.80, 95 % CI 1.32 to 2.46, I² = 8.92 %, p < 0.01).

CONCLUSIONS

Ventriculostomy related infection is not associated with increased mortality or an increased risk of poor neurological outcome, but is associated with prolonged duration of EVD placement, prolonged duration of ICU and hospital admission, and an increased rate of internal ventricular shunt placement.

Swiss Sepsis National Action Plan: A coordinated national action plan to stop sepsis-related preventable deaths and to improve the support of people affected by sepsis in Switzerland

Background

Sepsis is a devastating disease which causes yearly over 10 million deaths worldwide. In 2017, the World Health Organization (WHO) issued a resolution prompting member states to improve the prevention, recognition, and management of sepsis. The 2021 European Sepsis Report revealed that-contrary to other European countries-Switzerland had not yet actioned the sepsis resolution.

Methods

A panel of experts convened at a policy workshop to address how to improve awareness, prevention, and treatment of sepsis in Switzerland. Goal of the workshop was to formulate a set of consensus recommendations toward creating a Swiss Sepsis National Action Plan (SSNAP). In a first part, stakeholders presented existing international sepsis quality improvement programs and national health programs relevant for sepsis. Thereafter, the participants were allocated into three working groups to identify opportunities, barriers, and solutions on (i) prevention and awareness, (ii) early detection and treatment, and (iii) support for sepsis survivors. Finally, the entire panel summarized the findings from the working groups and identified priorities and strategies for the SSNAP. All discussions during the workshop were transcribed into the present document. All workshop participants and key experts reviewed the document.

Results

The panel formulated 14 recommendations to address sepsis in Switzerland. These focused on four domains, including (i) raising awareness in the community, (ii) improving healthcare workforce training on sepsis recognition and sepsis management; (iii) establishing standards for rapid detection, treatment and follow-up in sepsis patients across all age groups; and (iv) promoting sepsis research with particular focus on diagnostic and interventional trials.

Conclusion

There is urgency to tackle sepsis. Switzerland has a unique opportunity to leverage from lessons learnt during the COVID-19 pandemic to address sepsis as the major infection-related threat to society. This report details consensus recommendations, the rationale thereof, and key discussion points made by the stakeholders on the workshop day. The report presents a coordinated national action plan to prevent, measure, and sustainably reduce the personal, financial and societal burden, death and disability arising from sepsis in Switzerland.

Utilizing big data from electronic health records in pediatric clinical care

Big data has the capacity to transform both pediatric healthcare delivery and research, but its potential has yet to be fully realized. Curation of large multi-institutional datasets of high-quality data has allowed for significant advances in the timeliness of quality improvement efforts. Improved access to large datasets and computational power have also paved the way for the development of high-performing, data-driven decision support tools and precision medicine approaches. However, implementation of these approaches and tools into pediatric practice has been hindered by challenges in our ability to adequately capture the heterogeneity of the pediatric population as well as the nuanced complexities of pediatric diseases such as sepsis. Moreover, there are large gaps in knowledge and definitive evidence demonstrating the utility, usability, and effectiveness of these types of tools in pediatric practice, which presents significant challenges to provider willingness to leverage these solutions. The next wave of transformation for pediatric healthcare delivery and research through big data and sophisticated analytics will require focusing efforts on strategies to overcome cultural barriers to adoption and acceptance. IMPACT: Big data from EHRs can be used to drive improvement in pediatric clinical care. Clinical decision support, artificial intelligence, machine learning, and precision medicine can transform pediatric care using big data from the EHR. This article provides a review of barriers and enablers for the effective use of data analytics in pediatric clinical care using pediatric sepsis as a use case. The impact of this review is that it will inform influencers of pediatric care about the importance of current trends in data analytics and its use in improving outcomes of care through EHR-based strategies.

Effectiveness of levosimendan and role of cardiac magnetic resonance in cardiogenic shock due to COVID-19 related lymphocytic myocarditis in the course of viral sepsis

COVID-19 and sepsis pose great challenges to clinicians and growing evidence is demonstrating links between the two conditions. Both can be complicated by acute heart failure. The use of levosimendan in patients with ventricular dysfunction during COVID-19 infection and sepsis has very little evidence. A 46-year-old, hypertensive and obese patient was admitted for severe left ventricular failure and shock during sepsis following a COVID-19 infection. The patient was treated first with norepinephrine, which was partially effective, then with the addition of levosimendan as a continuous 24 hours infusion. Vital signs and echocardiographic systolic performance indices, such as FE, SVi, CI, dP/dT, TAPSE, and tricuspid S-wave velocity, as well as diastolic function, were recorded at access, 12 and 24 hours. After initiation of levosimendan, a rapid improvement in vital signs and systolic and diastolic performance indices was observed, not depending on changes in preload, afterload, and inflammatory status. Blood cultures were negative for the presence of bacteria, thus defining the picture of likely viral sepsis. Cardiac magnetic resonance was determinant, showing a picture of myocarditis sustained by immune processes rather than direct viral injury, which was confirmed by endomyocardial biopsy. In conclusion, this case highlights the efficacy of levosimendan in acute heart failure complicated by shock due to COVID-19-related myocarditis and concomitant sepsis and confirms cardiac magnetic resonance as the gold standard for the diagnosis of myocardial inflammatory disease. To the best of our knowledge, this is the first documented case of effective use of levosimendan in this context.

Demystifying the role of anaesthetists in clinical coding in the Australian healthcare system

Despite the self-evident importance of hospital funding, many anaesthetists remain unsure of exactly how their daily work relates to hospital reimbursement. A lack of awareness of the nuances of the Australian hospital activity-based funding system has the potential to affect anaesthetic department reimbursement and thus resourcing. Activity-based funding relies on clinical coders reviewing clinical documentation and quantifying the care given to a patient during an admission. Errors in funding allocation may arise when there is a disconnect between the work performed and the information coded. In anaesthesia, there are several factors impeding this process, including clinical understanding of coding, system setup and coders' understanding of anaesthesia. This article explores these factors from the clinical anaesthetist's point of view and suggests solutions, such as awareness and education, clinician-coder cooperation and redesign of documentation systems at a systems level that anaesthetic departments can incorporate.

Incidence, recurring admissions and mortality of severe bacterial infections and sepsis over a 22-year period in the population-based HUNT study

Purpose

Severe bacterial infections are important causes of hospitalization and loss of health worldwide. In this study we aim to characterize the total burden, recurrence and severity of bacterial infections in the general population during a 22-year period.

Methods

We investigated hospitalizations due to bacterial infection from eight different foci in the prospective population-based Trøndelag Health Study (the HUNT Study), where all inhabitants aged ≥ 20 in a Norwegian county were invited to participate. Enrollment was between 1995 and 1997, and between 2006 and 2008, and follow-up ended in February 2017. All hospitalizations, positive blood cultures, emigrations and deaths in the follow-up period were captured through registry linkage.

Results

A total of 79,393 (69.5% and 54.1% of the invited population) people were included, of which 42,237 (53%) were women and mean age was 48.5 years. There were 37,298 hospitalizations due to infection, affecting 15,496 (22% of all included) individuals. The median time of follow-up was 20 years (25^th percentile 9.5–75^th percentile 20.8). Pneumonia and urinary tract infections were the two dominating foci with incidence rates of 639 and 550 per 100,000 per year, respectively, and with increasing incidence with age. The proportion of recurring admissions ranged from 10.0% (central nervous system) to 30.0% (pneumonia), whilst the proportion with a positive blood culture ranged from 4.7% (skin- and soft tissue infection) to 40.9% (central nervous system). The 30-day mortality varied between 3.2% (skin- and soft tissue infection) and 20.8% (endocarditis).

Conclusions

In this population-based cohort, we observed a great variation in the incidence, positive blood culture rate, recurrence and mortality between common infectious diseases. These results may help guide policy to reduce the infectious disease burden in the population.

Prevalence and outcome of sepsis in respiratory intensive care unit

Background

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to an infection.

Objective

To assess the prevalence and outcome of sepsis in RICU

Patients and methods

The study was conducted upon 403 patients admitted at RICU of the Abbassia Chest Hospital, Cairo, Egypt; 100 of them had sepsis either on admission or acquired in the RICU during the period from May 2019 to November 2019. Severity of illness was assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II score), which was recorded within 24 h from patient admission. Quick sepsis-related organ failure assessment (qSOFA) score was recorded in emergency room, and sepsis-related organ failure assessment (SOFA) score was recorded on ICU admission and on the 3rd and 7th day of ICU stay. Type of infection (community or hospital acquired), infection site, and pathogenic organisms, all were recorded. Assessment was done also regarding mechanical ventilation, length of RICU stay, the presence of comorbidities, survived patients, and dead ones, as regards causes of death and risk factors.

Results

The study included 100 cases with sepsis out of 403 admitted cases in the same duration with frequency 24%. Among sepsis patients, 72% were males and 28%were females, with mean age 51.62 ± 18.62 years. The main diagnosis was pneumonia (62%), and the main comorbidity was diabetes mellitus (23%). There was significant increase in age among non-survivors when compared with survivors. There was significant increase in number of mechanically ventilated patients and a highly significant incidence of complications and need for vasoactive drugs among non-survivors when compared with survivors. There was a highly significant higher APACHE II score on the 1st day of admission among non-survivor patients. The SOFA score was significantly higher on the 1st day of admission and significantly higher on the 3rd and 7th day of admission among non-survivor patients when compared to survived patients.

Conclusion

The current study showed that sepsis affects nearly one quarter of cases admitted at RICU, and it is usually associated with higher mortality rate in those patients.

Trial registration

ClinicalTrials.gov NCT05240157. Registered February 15, 2022. Retrospectively registered.

Bacteraemia, sepsis and antibiotic resistance in Australian patients with cirrhosis: a population-based study

Objective

Multiple factors predispose patients with cirrhosis to sepsis and/or bacteraemia and this has a high mortality rate. Within different geographical regions there are marked differences in the prevalence of infection with multidrug-resistant organisms (MDR). This study examined risk factors for and outcomes of sepsis/bacteraemia in public hospital admissions with cirrhosis in the state of Queensland, Australia, over the last decade, along with the bacterial pathogens responsible and their antibiotic susceptibility profiles.

Design

A population-based retrospective cohort study of public hospital admissions was conducted from 1 January 2008 to 31 December 2017. Hospital admissions for patients with a diagnosis of cirrhosis were categorised by the presence or absence of sepsis/bacteraemia. Clinical and sociodemographic information including cirrhosis aetiology, complications and comorbidities, and in-hospital mortality were examined using bivariate and multivariate analyses. In patients with bacteraemia, the type and prevalence of bacteria and antibiotic resistance was assessed.

Results

Sepsis/bacteraemia was present in 3951 of 103 165 hospital admissions with a diagnosis of cirrhosis. Factors associated with sepsis/bacteraemia included disease aetiology, particularly primary sclerosing cholangitis (adj-OR 15.09, 95% CI 12.24 to 18.60), alcohol (adj-OR 2.90, 95% CI 2.71 to 3.09), Charlson Comorbidity Index ≥3 (adj-OR 3.54, 95% CI 3.19 to 3.93) and diabetes (adj-OR 1.87, 95% CI 1.74 to 2.01). Overall case-fatality rate among admissions with sepsis/bacteraemia was 27.7% (95% CI 26.3% to 29.1%) vs 3.7% (95% CI 3.6% to 3.8%) without sepsis/bacteraemia. In-hospital death was significantly associated with sepsis/bacteraemia (adj-OR 6.50, 95% CI 5.95 to 7.11). The most common organisms identified were Escherichia coli and Staphylococcus aureus, present in 22.9% and 18.1%, respectively, of the 2265 admissions with a positive blood culture. The prevalence of MDR bacteria was low (5.6%)

Conclusion

Morbidity and mortality related to sepsis/bacteraemia in patients with cirrhosis remains a critical clinical problem.

Children with appendectomy have increased risk of future sepsis: Real-world data in Taiwan

BACKGROUND

Appendectomy is one of the most commonly performed surgeries worldwide. Sepsis is a major aetiology of morbidity and mortality in children. Our preliminary research revealed a positive correlation amongst appendectomy and future risk of sepsis in adults. However, to date, the relationship between appendectomy and future risk of sepsis in children remains unknown. The aim of this research was to investigate the relationship between appendectomy and the hazard of future sepsis in children.

METHODS

We applied a nationwide population-based cohort to assess whether children who received appendectomy were at increased risk of subsequent sepsis. Overall, 57 261 subjects aged below 18 undergoing appendectomy as appendectomy group and 57 261 matched controls were identified as a non-appendectomy group from the National Health Insurance Research Database in Taiwan. We use propensity score analysis to match the age, sex, urbanisation level and parental occupation at the ratio to 1:1. Multiple Cox regression and stratified analyses were used to appraise the adjusted hazard ratio (aHR) for developing sepsis in children.

RESULTS

Children who received appendectomy had a 2.38 times higher risk (aHR: 2.38; 95% confidence interval [CI] = 1.98, 2.87) of developing sepsis than those who did not, and the risk was higher in all age groups (aHR: 2.98, 95% CI = 1.84, 4.83; aHR: 2.45, 95% CI = 1.08, 2.05; aHR: 2.18, 95% CI = 1.70, 2.80 in children aged <6, 7-12 and 13-18 years, respectively). Patients with <1-year follow-up showed a 4.53-fold risk of sepsis in the appendectomy cohort (aHR: 4.53, 95% CI = 2.80, 7.35). Patients with 1-4 and ≥5 years' follow-up showed a 2.19- and 1.94-times risk of sepsis (aHR: 2.19, 95% CI = 1.61, 2.97; aHR: 1.94, 95% CI = 1.48, 2.56 in 1-4 and >5 years, respectively).

CONCLUSION

Appendectomy was correlative to a 2.38-fold increased future sepsis risk in children, and the risk in all age groups was higher. More studies to interpret the possible biological mechanisms of the associations amongst sepsis and appendectomy are warranted.

Admission Blood Glucose Is Associated With the 30-Days Mortality in Septic Patients: A Retrospective Cohort Study

Background: Sepsis, as one of the severe diseases, is frequently observed in critically ill patients, especially concurrent with diabetes. Whether admission blood glucose is associated with the prognosis, and outcome of septic patients is still debatable.

Methods: We retrospectively reviewed and analyzed the demographic characteristics of septic patients in the Medical Information Mart for Intensive Care III (MIMIC III, version 1.4) between June 2001 and October 2012. The Chi-square and Fisher's exact tests were used for the comparison of qualitative variables among septic patients with different glucose levels and the 30-day mortality in septic patients with diabetes or not. Univariate and stepwise multivariate Cox regression analyses were used to determine the risk factors for 30-day mortality. Kaplan-Meier analysis was conducted to reveal the different 30-day survival probabilities in each subgroup.

Results: A total of 2,948 septic patients (910 cases with diabetes, 2,038 cases without diabetes) were ultimately included in the study. The 30-day mortality was 32.4% (956/2,948 cases) in the overall population without any difference among diabetic and non-diabetic septic patients (p = 1.000). Admission blood glucose levels <70 mg/dl were only observed to be significantly associated with the 30-day mortality of septic patients without diabetes (hazard ratio (HR) = 2.48, p < 0.001). After adjusting for confounders, age >65 years (HR = 1.53, p = 0.001), the Sequential Organ Failure Assessment (SOFA) score >5 (HR = 2.26, p < 0.001), lactic acid >2 mmol/L (Lac, HR = 1.35, p = 0.024), and platelet abnormality (<100 k/ul: HR = 1.49; >300 k/ul: HR = 1.36, p < 0.001) were the independent risk factors for 30-day mortality in septic patients with diabetes. In non-diabetes population, age >65 years (HR = 1.53, p < 0.001), non-White or non-Black patients (HR = 1.30, p = 0.004), SOFA score >5 (HR = 1.56, p < 0.001), blood glucose <70 mg/dl (HR = 1.91, p = 0.003), anion gap (AG) >2 mmol/L (HR = 1.60, p < 0.001), Lac (HR = 1.61, p < 0.001), urea nitrogen >21 mg/dl (HR = 1.45, p = 0.001), alanine aminotransferase (ALT, HR = 1.31, p = 0.009), total bilirubin >1.2 mg/dl (HR = 1.20, p = 0.033), and low hemoglobin (HR = 1.34, p = 0.001) were the independent risk factors for 30-day mortality.

Conclusions: Our results indicate admission blood glucose, especially in terms of <70 mg/dl, is the key signaling in predicting the worse 30-day survival probability of septic patients without diabetes, which could help clinicians to make a more suitable and precise treatment modality in dealing with septic patients.

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.

Machine Learning Model to Identify Sepsis Patients in the Emergency Department: Algorithm Development and Validation

Accurate stratification of sepsis can effectively guide the triage of patient care and shared decision making in the emergency department (ED). However, previous research on sepsis identification models focused mainly on ICU patients, and discrepancies in model performance between the development and external validation datasets are rarely evaluated. The aim of our study was to develop and externally validate a machine learning model to stratify sepsis patients in the ED. We retrospectively collected clinical data from two geographically separate institutes that provided a different level of care at different time periods. The Sepsis-3 criteria were used as the reference standard in both datasets for identifying true sepsis cases. An eXtreme Gradient Boosting (XGBoost) algorithm was developed to stratify sepsis patients and the performance of the model was compared with traditional clinical sepsis tools; quick Sequential Organ Failure Assessment (qSOFA) and Systemic Inflammatory Response Syndrome (SIRS). There were 8296 patients (1752 (21%) being septic) in the development and 1744 patients (506 (29%) being septic) in the external validation datasets. The mortality of septic patients in the development and validation datasets was 13.5% and 17%, respectively. In the internal validation, XGBoost achieved an area under the receiver operating characteristic curve (AUROC) of 0.86, exceeding SIRS (0.68) and qSOFA (0.56). The performance of XGBoost deteriorated in the external validation (the AUROC of XGBoost, SIRS and qSOFA was 0.75, 0.57 and 0.66, respectively). Heterogeneity in patient characteristics, such as sepsis prevalence, severity, age, comorbidity and infection focus, could reduce model performance. Our model showed good discriminative capabilities for the identification of sepsis patients and outperformed the existing sepsis identification tools. Implementation of the ML model in the ED can facilitate timely sepsis identification and treatment. However, dataset discrepancies should be carefully evaluated before implementing the ML approach in clinical practice. This finding reinforces the necessity for future studies to perform external validation to ensure the generalisability of any developed ML approaches.

Improving sepsis screening and care in a developing nation health setting: A description of implementation

Evidence on sepsis screening and care in developing nations is insufficient to inform implementation practices in hospital wards. The aim of this multi-method study was to describe and evaluate the implementation of a three-step intervention (sepsis screening, alert activation, care) in five wards in Argentina in 2017. The implementation involved three stages: (1) context assessment, (2) development/participation in implementation strategies, and (3) evaluation of intervention adherence. Results were variable. The context assessment (Stage 1) demonstrated the value of education, proactivity towards care and team structures. Strategies developed (Stage 2) included sepsis screening and response guide, education, team rounding, posters, champions, audit/feedback and knowledge brokering. In Stage 3, staff screened 92% patients (506/547) for sepsis at ≥60% of set times; only 33% (21/64) patients had a sepsis alert activated when needed. A similar proportion of patients who had alerts activated (n = 16, 76%) or not (n = 32, 74%) received at least one element of care. The use of implementation strategies resulted in adherence to some aspects of the intervention. Future research is needed to improve sepsis screening and alert activation and care in this setting.

Incidence and outcomes of sepsis in Aboriginal and Torres Strait Islander and non-Indigenous residents of New South Wales: population-based cohort study

Objective: To estimate the incidence and outcomes of sepsis hospitalisations in Aboriginal and Torres Strait Islander and non-Indigenous residents of New South Wales. Design and participants: Prospective cohort study of residents aged 45 years and older, recruited between 2006 and 2009, and followed for hospitalisation for sepsis. Main outcome measures: Incidence and hazard ratio (HR) of sepsis hospitalisation and intensive care unit (ICU) admission identified using International Classification of Diseases (10th revision) coding on discharge data. Length of stay, readmission and mortality in those admitted for sepsis. Results: Of 264 678 participants, 1928 (0.7%) identified as Aboriginal and/or Torres Strait Islander. Sepsis hospitalisation was higher in Aboriginal and Torres Strait Islander participants (8.67 v 6.12 per 1000 person-years; age- and sex-adjusted HR, 2.35; 95% CI, 1.98-2.80) but was attenuated after adjusting for sociodemographic factors, health behaviour and comorbidities (adjusted HR, 1.56; 95% CI, 1.31-1.86). Among those hospitalised for sepsis, after adjusting for age and sex, there were no differences between the proportions of Aboriginal and Torres Strait Islander and non-Indigenous participants admitted to an ICU (18.0% v 16.1%; P = 0.42) or deceased at 1 year (36.1% v 36.8%; P = 0.92). Aboriginal and Torres Strait Islander participants had shorter lengths of hospital stay (9.98 v 11.72 days; P < 0.001) and ICU stay (4.38 v 6.35 days; P < 0.001) than non-Indigenous participants. Overall, more than 70% of participants were readmitted to hospital within 1 year. Conclusion: We found that the rate of sepsis hospitalisation in NSW was higher for Aboriginal and Torres Strait Islander adults. Culturally appropriate, community-led strategies targeting chronic disease prevention and the social determinants of health may reduce this gap. Preventing readmission following sepsis is a priority for all Australians.

Excess cost of care associated with sepsis in cancer patients: Results from a population-based case-control matched cohort

BACKGROUND

Cancer patients are at significant risk of developing sepsis due to underlying malignancy and necessary treatments. Little is known about the economic burden of sepsis in this high-risk population. We estimate the short- and long-term healthcare costs of care of cancer patients with and without sepsis using individual-level linked-administrative data.

METHODS

We conducted a population-based matched cohort study of cancer patients aged ≥18, diagnosed between 2010 and 2017. Cases were identified if diagnosed with sepsis during the study period, and were matched 1:1 by age, sex, cancer type and other variables to controls without sepsis. Mean costs (2018 Canadian dollars) for patients with and without sepsis up to 5 years were estimated adjusted using survival probabilities at partitioned intervals. We estimated excess cost associated with sepsis presented as a cost difference between the two cohorts. Haematological and solid cancers were analysed separately.

RESULTS

77,483 cancer patients with sepsis were identified and matched. 64.3% of the cohort were aged ≥65, 46.3% female and 17.8% with haematological malignancies. Among solid tumour patients, the excess cost of care among patients who developed sepsis was $29,081 (95%CI, $28,404-$29,757) in the first year, rising to $60,714 (95%CI, $59,729-$61,698) over 5 years. This was higher for haematology patients; $46,154 (95%CI, $45,505-$46,804) in year 1, increasing to $75,931 (95%CI, $74,895-$76,968).

CONCLUSIONS

Sepsis imposes substantial economic burden and can result in a doubling of cancer care costs, particularly during the first year of cancer diagnosis. These estimates are helpful in improving our understanding of burden of sepsis along the cancer pathway and to deploy targeted strategies to alleviate this burden.

Descriptors of Sepsis Using the Sepsis-3 Criteria: A Cohort Study in Critical Care Units Within the U.K. National Institute for Health Research Critical Care Health Informatics Collaborative

Supplemental Digital Content is available in the text.

To describe the epidemiology of sepsis in critical care by applying the Sepsis-3 criteria to electronic health records.

Infrared Spectroscopy of Blood

The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.

Characteristics and Outcomes of Critically Ill Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Australia and New Zealand

Rationale: The characteristics and outcomes of patients presenting with an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) requiring intensive care unit (ICU) admission are poorly understood and there are sparse epidemiological data.Objectives: The objectives were to describe epidemiology and outcomes of patients admitted to an ICU with COPD and to evaluate whether outcomes varied over time.Methods: We studied adult ICU admissions across Australia and New Zealand between 2005 and 2017 with a diagnosis of AECOPD and used an admission diagnosis of asthma as comparator for trends over time. We measured changes in characteristics and outcomes over time using logistic regression, adjusting for illness severity using the Australian New Zealand Risk of Death model.Results: We studied 31,991 admissions with AECOPD and 11,096 with asthma. Mean (standard deviation) age for AECOPD patients was 68.3 (11.2) years, with 35.4% mechanically ventilated. For patients with AECOPD, the percentage of deaths in an ICU was 8.7% and in a hospital was 15.4% of admissions, with the proportion of 69.2% discharged home and 5.6% discharged to a high-level care facility. During the study period, the proportion of ICU admissions with AECOPD per 10,000 admissions decreased at an annual rate of 2.0 (95% confidence interval [CI], 0.8-3.2; P = 0.009) but their admission rate per million population increased annually by 4.5 (95% CI, 3.7-5.3; P < 0.0001). There was a linear reduction in mortality for AECOPD but not for asthma admissions (odds ratio annual decline: AECOPD, 0.94 [0.93-0.95] and asthma, 1.01 [0.97-1.05]; P = 0.001) and an increase in AECOPD admissions discharged to home (odds ratio annual increase, AECOPD, 1.04 [1.03-1.05] and asthma, 1.01 [0.99-1.03]; P = 0.01). The reduction in mortality was sustained after adjusting for illness severity.Conclusions: Across Australia and New Zealand, the rate of ICU admissions due to AECOPD is increasing but mortality rates are decreasing, with a corresponding increase in the home discharge rates.

Annual prevalence, characteristics, and outcomes of intensive care patients with skin or soft tissue infections in Australia and New Zealand: A retrospective cohort study between 2006-2017

BACKGROUND

There are limited published data on the epidemiology of skin and soft tissue infections (SSTIs) requiring intensive care unit (ICU) admission. This study intended to describe the annual prevalence, characteristics, and outcomes of critically ill adult patients admitted to the ICU for an SSTI.

METHODS

This was a registry-based retrospective cohort study, using data submitted to the Australian and New Zealand Intensive Care Society Adult Patient Database for all admissions with SSTI between 2006 and 2017. The inclusion criteria were as follows: primary diagnosis of SSTI and age ≥16 years. The exclusion criteria were as follows: ICU readmissions (during the same hospital admission) and transfers from ICUs from other hospitals. The primary outcome was in-hospital mortality, and the secondary outcomes were ICU mortality and length of stay (LOS) in the ICU and hospital with independent predictors of outcomes.

RESULTS

Admissions due to SSTI accounted for 10 962 (0.7%) of 1 470 197 ICU admissions between 2006 and 2017. Comorbidities were present in 25.2% of the study sample. The in-hospital mortality was 9% (991/10 962), and SSTI necessitating ICU admission accounted for 0.07% of in-hospital mortality of all ICU admissions between 2006 and 2017. Annual prevalence of ICU admissions for SSTI increased from 0.4% to 0.9% during the study period, but in-hospital mortality decreased from 16.1% to 6.8%. The median ICU LOS was 2.1 days (interquartile range = 3.4), and the median hospital LOS was 12.1 days (interquartile range = 20.6). ICU LOS remained stable between 2006 and 2017 (2.0-2.1 days), whereas hospital LOS decreased from 15.7 to 11.2 days. Predictors for in-hospital mortality included Australian and New Zealand Risk of Death scores [odds ratio (OR): 1.07; confidence interval (CI) (1.05, 1.09); p < 0.001], any comorbidity except diabetes [OR: 2.00; CI (1.05, 3.79); p = 0.035], and admission through an emergency response call [OR: 2.07; CI (1.03, 4.16); p = 0.041].

CONCLUSIONS

SSTIs are uncommon as primary ICU admission diagnosis. Although the annual prevalence of ICU admissions for SSTI has increased, in-hospital mortality and hospital LOS have decreased over the last decade.

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.

The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey

OBJECTIVES

We performed a national cross-sectional survey to determine the epidemiologic characteristics of patients with sepsis in ICU in China.

DESIGN

A cross-section survey study.

SETTING

Forty-four hospitals in mainland China from December 1, 2015, to January 31, 2016.

PATIENTS

All septic patients diagnosed according sepsis-1 criteria admitted to participating ICU.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We recorded demographic, physiologic, and microbiological data with follow-up for 90 days or death, if sooner. The frequency of sepsis and 90-day mortality rate were computed, and the relationship with gross domestic product determined. Multivariate logistic regression analysis was used to determine risk factors for 90-day mortality in patients with sepsis. Two-thousand three-hundred twenty-two patients with sepsis were included in the analysis, of whom 786 patients (33.9%) had hospital-acquired sepsis. The most common infection site was the lung (68.2%), followed by abdomen (26.6%) and bloodstream (7.8%). The frequency of sepsis in the ICU was 20.6 cases per 100 ICU admissions (95% CI, 15.8-25.4) with a 90-day mortality of 35.5%. The proportion of sepsis, severe sepsis, and septic shock were 3.10%, 43.6%, and 53.3% with a 90-day mortality of 2.78%, 17.69%, and 51.94%, respectively. Older age, low body weight, higher Sequential Organ Failure Assessment score, the number of systemic inflammatory response syndrome criteria, comorbid with heart failure, hematologic cancer, immunosuppression, higher level of lactate, infection site (pneumonia and bloodstream) were associated with 90-day mortality.

CONCLUSIONS

Sepsis affects a fifth of patients admitted to ICUs in mainland China with a 90-day mortality rate of 35.5%. Our findings indicate that a large burden of sepsis, and we need to focus on sepsis as a quality improvement target in China given the high mortality. In addition, further studies are needed to delineate the epidemiology of sepsis outside the ICU.

The cost-effectiveness of adjunctive corticosteroids for patients with septic shock

OBJECTIVE

To determine whether hydrocortisone is a cost-effective treatment for patients with septic shock.

DESIGN

Data linkage-based cost-effectiveness analysis.

SETTING

New South Wales and Queensland intensive care units.

PARTICIPANTS AND INTERVENTION

Patients with septic shock randomly assigned to treatment with hydrocortisone or placebo in the Adjunctive Glucocorticoid Therapy in Patients with Septic Shock (ADRENAL) trial.

MAIN OUTCOME MEASURES

Health-related quality of life at 6 months using the EuroQoL 5-dimension 5-level questionnaire. Data on hospital resource use and costs were obtained by linking the ADRENAL dataset to government administrative health databases. Clinical outcomes included mortality, health-related quality of life, and quality-adjusted life-years gained; economic outcomes included hospital resource use, costs and cost-effectiveness from the health care payer perspective. We also assessed cost-effectiveness by sex. To increase the precision of cost-effectiveness estimates, we conducted unrestricted bootstrapping.

RESULTS

Of 3800 patients in the ADRENAL trial, 1772 (46.6%) were eligible and 1513 (85.4% of those eligible) were included. There was no difference between hydrocortisone or placebo groups in regards to mortality (218/742 [29.4%] v 227/759 [29.9%]; HR, 0.93; 95% CI, 0.78-1.12; P = 0.47), mean number of QALYs gained (0.10 ± 0.09 v 0.10 ± 0.09; P = 0.52), or total hospital costs (A$73 515 ± 61 376 v A$69 748 ± 61 793; mean difference, A$3767; 95% CI, -A$2891 to A$10 425; P = 0.27). The incremental cost of hydrocortisone was A$1 254 078 per quality-adjusted life-year gained. In females, hydrocortisone was cost-effective in 46.2% of bootstrapped replications and in males it was cost-effective in 2.7% of bootstrapped replications.

CONCLUSIONS

Adjunctive hydrocortisone did not significantly affect longer term mortality, health-related quality of life, health care resource use or costs, and is unlikely to be cost-effective.

Risk Factors for Peripheral Nerve Injury After 207,000 Total Hip Arthroplasties Using a New York State Database (Statewide Planning and Research Cooperative System)

BACKGROUND

Peripheral nerve injury (PNI) is a devastating complication following total hip arthroplasty (THA). The purpose of this study was to identify risk factors for PNI after THA using a New York Statewide Planning and Research Cooperative System (SPARCS).

METHODS

The SPARCS database was queried to identify patients who had undergone THA from 1996 to 2011. Patient demographics, medical history, surgical details, hospital characteristics, and in-hospital complications were recorded. Cases in which a new unilateral PNI was identified were compiled, as were control cases in which a new PNI did not occur. The characteristics of cases and controls underwent univariate testing and a multivariate logistic regression using Akaike information criterion model selection to identify risk factors for the development of PNI after THA.

RESULTS

207,981 cases were identified, and 487 were coded as having a new PNI. Preexisting spinal conditions (odds ratio [OR] = 2.55, confidence interval [CI] = 1.61-3.83) were strongly correlated with the development of PNI postoperatively, as was dislocation (OR = 2.58, CI = 1.01-5.30) and diabetes with chronic complications (OR = 2.26, CI = 0.96-4.43). Younger age, in-hospital complications, and thromboembolic events were also associated with postoperative PNI.

CONCLUSION

The incidence of PNI after THA was consistent with previous large-scale studies but may under-represent the true incidence because of undercoding inherent in large database studies. Previous spine disorder, chronic diabetes, younger age, and in-hospital postoperative complications all increased the risk of PNI. This study can help health-care providers and systems identify patients at higher risk of this serious complication.

Differences in Hypotensive vs. Non-Hypotensive Sepsis Management in the Emergency Department: Door-to-Antibiotic Time Impact on Sepsis Survival

Background: Sepsis diagnosis can be incorrectly associated with the presence of hypotension during an infection, so the detection and management of non-hypotensive sepsis can be delayed. We aimed to evaluate how the presence or absence of hypotension, on admission at the emergency department, affects the initial management and outcomes of patients with community-onset severe sepsis. Methods: Demographic, clinical, laboratory, process of care, and outcome variables were recorded for all patients, at the emergency department of our university hospital, who presented with community-onset severe sepsis, between 1 March and 31 August in three consecutive years. Patient management consisted of standardized bundled care with five measures: Detection, blood cultures and empirical antibiotics, oxygen supplementation and fluid resuscitation (if needed), clinical monitoring, and noradrenalin administration (if needed). We compared all variables between patients who had hypotension (mean arterial pressure <65 mmHg), on admission to the emergency department, and those who did not. Results: We identified 153 episodes (84 (54.5%) men; mean age 73.6 ± 1.2; mean Sequential Organ Failure Assessment (SOFA) score 4.9 ± 2.7, and 41.2% hospital mortality). Hypotension was present on admission to the emergency department in 57 patients (37.2%). Hemodynamic treatment was applied earlier in patients who presented hypotension initially. Antibiotics were administered 48 min later in non-hypotensive sepsis (p = 0.08). A higher proportion of patients without initial hypotension required admission to the intensive care unit (ICU) (43.1% for patients initially hypotensive vs. 56.9% in those initially non-hypotensive, p < 0.05). Initial hypotension was not associated with mortality. A delay in door-to-antibiotic administration time was associated with mortality [OR 1.150, 95%CI: 1.043–1.268). Conclusions: Initial management of patients with community-onset severe sepsis differed according to their clinical presentation. Initial hypotension was associated with early hemodynamic management and less ICU requirement. A non-significant delay was observed in the administration of antibiotics to initially non-hypotensive patients. The time of door-to-antibiotic administration was related to mortality.