Discharge diagnoses versus medical record review in the identification of community-acquired sepsis

Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study

Background

Sepsis surveillance was important for resources allocation, prevention, and development of health policy.

Objective

The aim of the study was to validate a modified International Classification of Diseases (ICD)-10 based algorithm for identifying hospitalized patients with sepsis.

Methods

We retrospectively analyzed a prospective, single-center cohort of adult patients who were consecutively admitted to one medical ICU ward and ten non-ICU wards with suspected or confirmed infections during a 6-month period. A modified ICD-10 based algorithm was validated against a reference standard of Sequential Organ Failure Assessment (SOFA) score based on Sepsis-3. Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), and areas under the receiver operating characteristic curves (AUROCs) were calculated for modified ICD-10 criteria, eSOFA criteria, Martin's criteria, and Angus's criteria.

Results

Of the 547 patients in the cohort, 332 (61%) patients met Sepsis-3 criteria and 274 (50%) met modified ICD-10 criteria. In the ICU setting, modified ICD-10 criteria had SE (84.47%), SP (88.57%), PPV (95.60), and NPV (65.96). In non-ICU settings, modified ICD-10 had SE (64.19%), SP (80.00%), PPV (80.33), and NPV (63.72). In the whole cohort, the AUROCs of modified ICD-10 criteria, eSOFA, Angus's criteria, and Martin's criteria were 0.76, 0.75, 0.62, and 0.62, respectively.

Conclusion

This study demonstrated that modified ICD-10 criteria had higher validity compared with Angus's criteria and Martin's criteria. Validity of the modified ICD-10 criteria was similar to eSOFA criteria. Modified ICD-10 algorithm can be used to provide an accurate estimate of population-based sepsis burden of China.

Estimating Sepsis Incidence Using Administrative Data and Clinical Medical Record Review

Importance

Despite the large health burden, reliable data on sepsis epidemiology are lacking; studies using International Statistical Classification of Diseases and Related Health Problems (ICD)-coded hospital discharge diagnosis for sepsis identification suffer from limited sensitivity. Also, ICD data do not allow investigation of underlying pathogens and antimicrobial resistance.

Objectives

To generate reliable epidemiological estimates by linking data from a population-based database to a reference standard of clinical medical record review.

Design, Setting, and Participants

This was a retrospective, observational cohort study using a population-based administrative database including all acute care hospitals of the Scania region in Sweden in 2019 and 2020 to identify hospital-treated sepsis cases by ICD codes. From this database, clinical medical records were also selected for review within 6 strata defined by ICD discharge diagnosis (both with and without sepsis diagnosis). Data were analyzed from April to October 2022.

Main outcomes and measures

Hospital and population incidences of sepsis, case fatality, antimicrobial resistance, and temporal dynamics due to COVID-19 were assessed, as well as validity of ICD-10 case identification methods compared with the reference standard of clinical medical record review.

Results

Out of 295 531 hospitalizations in 2019 in the Scania region of Sweden, 997 patient medical records were reviewed, among which 457 had sepsis according to clinical criteria. Of the patients with clinical sepsis, 232 (51%) were female, and 357 (78%) had at least 1 comorbidity. The median (IQR) age of the cohort was 76 (67-85) years. The incidence of sepsis in hospitalized patients according to the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) criteria in 2019 was 4.1% (95% CI, 3.6-4.5) by medical record review. This corresponds to an annual incidence rate of 747 (95% CI, 663-832) patients with sepsis per 100 000 population. No significant increase in sepsis during the COVID-19 pandemic nor a decrease in sepsis incidence when excluding COVID-19 sepsis was observed. Few sepsis cases caused by pathogens with antimicrobial resistance were found. The validity of ICD-10-based case identification in administrative data was low.

Conclusions and Relevance

In this cohort study of sepsis epidemiology, sepsis was a considerable burden to public health in Sweden. Supplying administrative data with information from clinical medical records can help to generate reliable data on sepsis epidemiology.

Accuracy of International Classification of Diseases, 10th Revision Codes for Identifying Sepsis: A Systematic Review and Meta-Analysis

Administrative databases are increasingly used in research studies to capture clinical outcomes such as sepsis. This systematic review and meta-analysis examines the accuracy of International Classification of Diseases, 10th revision (ICD-10), codes for identifying sepsis in adult and pediatric patients.

DATA SOURCES

We searched MEDLINE, EMBASE, Web of Science, CENTRAL, Epistemonikos, and McMaster Superfilters from inception to September 7, 2021.

STUDY SELECTION

We included studies that validated the accuracy of sepsis ICD-10 codes against any reference standard.

DATA EXTRACTION

Three authors, working in duplicate, independently extracted data. We conducted meta-analysis using a random effects model to pool sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). We evaluated individual study risk of bias using the Quality Assessment of Diagnostic Accuracy Studies tool and assessed certainty in pooled diagnostic effect measures using the Grading of Recommendations Assessment, Development, and Evaluation framework.

DATA SYNTHESIS

Thirteen eligible studies were included in the qualitative synthesis and the meta-analysis. Eleven studies used manual chart review as the reference standard, and four studies used registry databases. Only one study evaluated pediatric patients exclusively. Compared with the reference standard of detailed chart review and/or registry databases, the pooled sensitivity for sepsis ICD-10 codes was 35% (95% CI, 22-48, low certainty), whereas the pooled specificity was 98% (95% CI: 98-99, low certainty). The PPV for ICD-10 codes ranged from 9.8% to 100% (median, 72.0%; interquartile range [IQR], 50.0-84.7%). NPV ranged from 54.7% to 99.1% (median, 95.9%; interquartile range, 85.5-98.3%).

CONCLUSIONS

Sepsis is undercoded in administrative databases. Future research is needed to explore if greater consistency in ICD-10 code definitions and enhanced quality measures for ICD-10 coders can improve the coding accuracy of sepsis in large databases.

Identifying Sepsis From Foodborne Hospitalization: Incidence and Hospitalization Cost by Pathogen

BACKGROUND

Sepsis causes a major health burden in the United States. To better understand the role of sepsis as a driver of the burden and cost of foodborne illness in the United States, we estimated the frequency and treatment cost of sepsis among US patients hospitalized with 31 pathogens commonly transmitted through food or with unspecified acute gastrointestinal illness (AGI).

METHODS

Using data from the National Inpatient Sample from 2012 to 2015, we identified sepsis hospitalizations using 2 approaches-explicit ICD-9-CM codes for sepsis and a coding scheme developed by Angus that identifies sepsis using specific ICD-9-CM diagnosis codes indicating an infection plus organ failure. We examined differences in the frequency and the per-case cost of sepsis across pathogens and AGI and estimated total hospitalization costs using prior estimates of foodborne hospitalizations.

RESULTS

Using Explicit Sepsis Codes, sepsis hospitalizations accounted for 4.6% of hospitalizations with a pathogen commonly transmitted through food or unspecified AGI listed as a diagnosis; this was 33.2% using Angus Sepsis Codes. The average per-case cost was $35 891 and $20 018, respectively. Applying the proportions of hospitalizations with sepsis from this study to prior estimates of the number foodborne hospitalizations, the total annual cost was $248 million annually using Explicit Sepsis Codes and $889 million using Angus Sepsis Codes.

CONCLUSIONS

Sepsis is a serious complication among patients hospitalized with a foodborne pathogen infection or AGI resulting in a large burden of illness. Hospitalizations that are diagnosed using explicit sepsis codes are more severe and costly, but likely underestimate the burden of foodborne sepsis.

Social Determinants of Health Associated With the Development of Sepsis in Adults: A Scoping Review

Evaluating risk for sepsis is complicated due to limited understanding of how social determinants of health (SDoH) influence the occurence of the disease. This scoping review aims to identify gaps and summarize the existing literature on SDoH and the development of sepsis in adults.

DATA SOURCES

A literature search using key terms related to sepsis and SDoH was conducted using Medline and PubMed.

STUDY SELECTION

Studies were screened by title and abstract and then full text in duplicate. Articles were eligible for inclusion if they: 1) evaluated at least one SDoH on the development of sepsis, 2) participants were 18 years or older, and 3) the studies were written in English between January 1970 and January 2022. Systematic reviews, meta-analyses, editorials, letters, commentaries, and studies with nonhuman participants were excluded.

DATA EXTRACTION

Data were extracted in duplicate using a standardized data extraction form. Studies were grouped into five categories according to the SDoH they evaluated (race, socioeconomic status [SES], old age and frailty, health behaviors, and social support). The study characteristics, key outcomes related to incidence of sepsis, mortality, and summary statements were included in tables.

DATA SYNTHESIS

The search identified 637 abstracts, 20 of which were included after full-text screening. Studies evaluating SES, old age, frailty, and gender demonstrated an association between sepsis incidence and the SDoH. Studies that examined race demonstrated conflicting conclusions as to whether Black or White patients were at increased risk of sepsis. Overall, a major limitation of this analysis was the methodological heterogeneity between studies.

CONCLUSIONS

There is evidence to suggest that SDoH impacts sepsis incidence, particularly SES, gender, old age, and frailty. Future prospective cohort studies that use standardized methods to collect SDoH data, particularly race-based data, are needed to inform public health efforts to reduce the incidence of sepsis and help clinicians identify the populations most at risk.

Surveillance Strategies for Tracking Sepsis Incidence and Outcomes

Sepsis is a leading cause of death and the target of intense efforts to improve recognition, management and outcomes. Accurate sepsis surveillance is essential to properly interpreting the impact of quality improvement initiatives, making meaningful comparisons across hospitals and geographic regions, and guiding future research and resource investments. However, it is challenging to reliably track sepsis incidence and outcomes because sepsis is a heterogeneous clinical syndrome without a pathologic reference standard, allowing for subjectivity and broad discretion in assigning diagnoses. Most epidemiologic studies of sepsis to date have used hospital discharge codes and have suggested dramatic increases in sepsis incidence and decreases in mortality rates over time. However, diagnosis and coding practices vary widely between hospitals and are changing over time, complicating the interpretation of absolute rates and trends. Other surveillance approaches include death records, prospective clinical registries, retrospective medical record reviews, and analyses of the usual care arms of randomized controlled trials. Each of these strategies, however, has substantial limitations. Recently, the US Centers for Disease Control and Prevention released an "Adult Sepsis Event" definition that uses objective clinical indicators of infection and organ dysfunction that can be extracted from most hospitals' electronic health record systems. Emerging data suggest that electronic health record-based clinical surveillance, such as surveillance of Adult Sepsis Event, is accurate, can be applied uniformly across diverse hospitals, and generates more credible estimates of sepsis trends than administrative data. In this review, we discuss the advantages and limitations of different sepsis surveillance strategies and consider future directions.

A surveillance method to identify patients with sepsis from electronic health records in Hong Kong: a single centre retrospective study

BACKGROUND

Currently there are only two population studies on sepsis incidence in Asia. The burden of sepsis in Hong Kong is unknown. We developed a sepsis surveillance method to estimate sepsis incidence from a population electronic health record (EHR) in Hong Kong using objective clinical data. The study objective was to assess our method's performance in identifying sepsis using a retrospective cohort. We compared its accuracy to administrative sepsis surveillance methods such as Angus' and Martin's methods.

METHOD

In this single centre retrospective study we applied our sepsis surveillance method on adult patients admitted to a tertiary hospital in Hong Kong. Two clinicians independently reviewed the clinical notes to determine which patients had sepsis. Performance was assessed by sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) of Angus', Martin's and our surveillance methods using clinical review as "gold standard."

RESULTS

Between January 1 and February 28, 2018, our sepsis surveillance method identified 1352 adult patients hospitalised with suspected infection. We found that 38.9% (95%CI 36.3-41.5) of these patients had sepsis. Using a 490 patient validation cohort, two clinicians had good agreement with weighted kappa of 0.75 (95% CI 0.69-0.81) before coming to consensus on diagnosis of uncomplicated infection or sepsis for all patients. Our method had sensitivity 0.93 (95%CI 0.89-0.96), specificity 0.86 (95%CI 0.82-0.90) and an AUC 0.90 (95%CI 0.87-0.92) when validated against clinician review. In contrast, Angus' and Martin's methods had AUCs 0.56 (95%CI 0.53-0.58) and 0.56 (95%CI 0.52-0.59), respectively.

CONCLUSIONS

A sepsis surveillance method based on objective data from a population EHR in Hong Kong was more accurate than administrative methods. It may be used to estimate sepsis population incidence and outcomes in Hong Kong.

TRIAL REGISTRATION

This study was retrospectively registered at clinicaltrials.gov on October 3, 2019 ( NCT04114214 ).

Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data

BACKGROUND

Surveillance of sepsis incidence is important for directing resources and evaluating quality-of-care interventions. The aim was to develop and validate a fully-automated Sepsis-3 based surveillance system in non-intensive care wards using electronic health record (EHR) data, and demonstrate utility by determining the burden of hospital-onset sepsis and variations between wards.

METHODS

A rule-based algorithm was developed using EHR data from a cohort of all adult patients admitted at an academic centre between July 2012 and December 2013. Time in intensive care units was censored. To validate algorithm performance, a stratified random sample of 1000 hospital admissions (674 with and 326 without suspected infection) was classified according to the Sepsis-3 clinical criteria (suspected infection defined as having any culture taken and at least two doses of antimicrobials administered, and an increase in Sequential Organ Failure Assessment (SOFA) score by >2 points) and the likelihood of infection by physician medical record review.

RESULTS

In total 82 653 hospital admissions were included. The Sepsis-3 clinical criteria determined by physician review were met in 343 of 1000 episodes. Among them, 313 (91%) had possible, probable or definite infection. Based on this reference, the algorithm achieved sensitivity 0.887 (95% CI: 0.799 to 0.964), specificity 0.985 (95% CI: 0.978 to 0.991), positive predictive value 0.881 (95% CI: 0.833 to 0.926) and negative predictive value 0.986 (95% CI: 0.973 to 0.996). When applied to the total cohort taking into account the sampling proportions of those with and without suspected infection, the algorithm identified 8599 (10.4%) sepsis episodes. The burden of hospital-onset sepsis (>48 hour after admission) and related in-hospital mortality varied between wards.

CONCLUSIONS

A fully-automated Sepsis-3 based surveillance algorithm using EHR data performed well compared with physician medical record review in non-intensive care wards, and exposed variations in hospital-onset sepsis incidence between wards.

A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study

BACKGROUND

Cardiovascular disease, diabetes, and kidney disease are among the leading causes of death and disability worldwide. However, knowledge of genetic determinants of those diseases in African Americans remains limited.

RESULTS

In our study, associations between 4956 GWAS catalog reported SNPs and 67 traits were examined among 7726 African Americans from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, which is focused on identifying factors that increase stroke risk. The prevalent and incident phenotypes studied included inflammation, kidney traits, cardiovascular traits and cognition. Our results validated 29 known associations, of which eight associations were reported for the first time in African Americans.

CONCLUSION

Our cross-racial validation of GWAS findings provide additional evidence for the important roles of these loci in the disease process and may help identify genes especially important for future functional validation.

Bleeding Complications in Anticoagulated Patients With Atrial Fibrillation and Sepsis: A Propensity-Weighted Cohort Study

BACKGROUND

Sepsis may adversely affect bleeding risk in anticoagulated patients with atrial fibrillation (AF), but the impact of warfarin treatment in such patients is poorly described. This registry-based nationwide cohort study examined safety of oral anticoagulant treatment (OAC) in patients with preexisting AF who were hospitalized because of incident sepsis in the period 2000-2015.

METHODS AND RESULTS

We identified 3030 AF patients who were warfarin users at the time of sepsis diagnosis, and we used inverse probability of treatment weighting to compare the rates of bleeding, thromboembolic events, and death within 90 days after sepsis diagnosis with a comparable cohort of 55721 patients without warfarin treatment and known AF. Weighted 90-day bleeding rates were slightly higher among warfarin users compared with nonusers (0.14 versus 0.12 per 100 person-years), yielding a weighted hazard ratio of 1.19 (95% confidence interval, 1.00-1.41). Thromboembolic event rates during the 90-days after sepsis were marginally higher among warfarin users versus nonusers (0.04 versus 0.03; hazard ratio: 1.25, 95% confidence interval, 0.89-1.76), while the 90-day all-cause mortality was substantially lower among warfarin users (hazard ratio: 0.64, 95% confidence interval, 0.58-0.69). Various sensitivity analyses conducted to challenge the robustness these findings yielded results that were consistent with the main findings.

CONCLUSIONS

AF patients who are on warfarin therapy at sepsis diagnosis experienced an increase in bleeding rates within the 3 months following sepsis. Warfarin use was associated with lower mortality, despite virtually comparable thromboembolic event rates.

Review article: Sepsis in the emergency department - Part 1: Definitions and outcomes

Sepsis has recently been redefined as acute organ dysfunction due to infection. The ED plays a critical role in identifying patients with sepsis. This is challenging due to the heterogeneity of the syndrome, and the lack of an objective standard diagnostic test. While overall mortality rates from sepsis appear to be falling, there is an increasing burden of morbidity among survivors. This largely reflects the growing proportion of older patients with comorbid illnesses among those treated for sepsis.

Evidence of High Mortality and Increasing Burden of Sepsis in a Regional Sample of the New Zealand Population

Background

Sepsis is a life-threatening complication of infection. The incidence of sepsis is thought to be on the increase, but estimates making use of administrative data in the United States may be affected by administrative bias.

Methods

We studied the population-based incidence of sepsis in the Waikato region of New Zealand from 2007 to 2012 using International Classification of Diseases, Tenth Revision, Australian Modification, which lacks a specific code for sepsis.

Results

Between 2007 and 2012, 1643 patients met coding criteria for sepsis in our hospitals. Sixty-three percent of patients were 65 or over, 17% of cases were admitted to an intensive care unit, and the in-hospital and 1-year mortality with sepsis was 19% and 38%, respectively. Age-standardized rate ratios (ASRRs) demonstrated that sepsis was associated with male sex (ASRR 1.4; 95% confidence interval [CI], 1.23–1.59), Maori ethnicity (ASRR 3.22 compared with non-Maori; 95% CI, 2.85–3.65), study year (ASRR 1.62 comparing 2012 with 2008; 95% CI, 1.18–2.24), and socioeconomic deprivation (ASRR 1.72 comparing the highest with the lowest quintile of socioeconomic deprivation; 95% CI, 1.5–1.97). Multiorgan failure was present in approximately 20% of cases in all age groups. Intensive care unit admission rate fell from 30% amongst 25- to 34-year-olds to less than 10% amongst those aged 75 and over.

Conclusions

In a 9% sample of the New Zealand population, the incidence of sepsis increased by 62% over a 5-year period. Maori, elderly, and disadvantaged populations were most affected.

Population-Based Epidemiology of Sepsis in a Subdistrict of Beijing

OBJECTIVE

Information about the epidemiology of sepsis in community residents in China remains scarce and incomplete. The purpose of this study was to describe the occurrence rate and outcome of sepsis in Yuetan Subdistrict of Beijing and to estimate the occurrence rate of sepsis in China.

DESIGN

Retrospective cohort study.

SETTING

All public hospitals serving residents in Yuetan Subdistrict, Beijing.

PATIENTS

All patients (n = 1,716) meeting criteria for sepsis based on American College of Chest Physicians/Society of Critical Care Medicine consensus definition.

INTERVENTIONS

None.

MEASUREMENT AND MAIN RESULTS

We screened all adult residents in Yuetan Subdistrict who were hospitalized from July 1, 2012, to June 30, 2014, and reviewed medical records. Patients with sepsis were included in the analysis. We enrolled 1,716 patients with sepsis out of 21,191 hospitalized adults screened, among whom severe sepsis developed in 256 patients, and septic shock developed in 233 patients. The crude annual occurrence rates of sepsis, severe sepsis, and septic shock in Yuetan Subdistrict were 667, 103, and 91 cases per 100,000 population, corresponding to standardized occurrence rates of 461, 68, and 52 cases per 100,000 population per year, respectively. Both occurrence rate and mortality increased significantly with age, although males had higher age-adjusted occurrence rate and mortality. The occurrence rate of sepsis also exhibited seasonal variation, peaking in winter season. The overall hospital mortality rate of sepsis was 20.6%, yielding a standardized mortality rate of 79 cases per 100,000 population per year.

CONCLUSIONS

Sepsis is a common and frequently fatal syndrome in Yuetan Subdistrict, Beijing. The occurrence rate and mortality of sepsis are significantly higher in males and elderly people.

Variations in survival after cardiac arrest among academic medical center-affiliated hospitals

Background

Variation exists in cardiac arrest (CA) survival among institutions. We sought to determine institutional-level characteristics of academic medical centers (AMCs) associated with CA survival.

Methods

We examined discharge data from AMCs participating with Vizient clinical database–resource manager. We identified cases using ICD-9 diagnosis code 427.5 (CA) or procedure code 99.60 (CPR). We estimated hospital-specific risk-standardized survival rates (RSSRs) using mixed effects logistic regression, adjusting for individual mortality risk. Institutional and community characteristics of AMCs with higher than average survival were compared with those with lower survival.

Results

We analyzed data on 3,686,296 discharges in 2012, of which 33,700 (0.91%) included a CA diagnosis. Overall survival was 42.3% (95% CI 41.8–42.9) with median institutional RSSR of 42.6% (IQR 35.7–51.0; Min-Max 19.4–101.6). We identified 28 AMCs with above average survival (median RSSR 61.8%) and 20 AMCs with below average survival (median RSSR 26.8%). Compared to AMCs with below average survival, those with high CA survival had higher CA volume (median 262 vs.119 discharges, p = 0.002), total beds (722 vs. 452, p = 0.02), and annual surgical volume (24,939 vs. 13,109, p<0.001), more likely to offer cardiac catheterization (100% vs. 72%, p = 0.007) or cardiac surgery (93% vs. 61%, p = 0.02) and cared for catchment areas with higher household income ($61,922 vs. $49,104, p = 0.004) and lower poverty rates (14.6% vs. 17.3%, p = 0.03).

Conclusion

Using discharge data from Vizient, we showed AMCs with higher CA and surgical case volume, cardiac catheterization and cardiac surgery facilities, and catchment areas with higher socioeconomic status had higher risk-standardized CA survival.

Severe sepsis in the ICU is often missing in hospital discharge codes

BACKGROUND

Different International Classification of Diseases (ICD)-based code abstraction strategies have been used when studying the epidemiology of severe sepsis. The aim of this study was to compare three previously used ICD code abstraction strategies to the American College of Chest Physicians/Society of Critical Care Medicine (ACCP/SCCM) consensus criteria for severe sepsis, in a setting of intensive care patients.

METHODS

All patients (≥ 18 years of age) with severe sepsis according to the ACCP/SCCM criteria registered in the Swedish Intensive Care Registry (2005-2009) were included in the study. Using the Swedish National Patient Register, we investigated whether these patients fulfilled an ICD code compilation for severe sepsis at hospital discharge.

RESULTS

Overall, 9271 patients with severe sepsis were registered in the Swedish Intensive Care Registry. A majority of these patients (55.4%) were discharged from the hospital with ICD codes that did not correspond to any of the ICD code compilations. A minority of patients (10.3%) were discharged with ICD codes corresponding to all three code abstraction strategies applied. Overall, the proportion of patients discharged with ICD codes corresponding to the criteria of Angus et al. was 15.1%, to the criteria of Flaatten was 39.8%, and to the criteria of Martin et al. was 16.0%.

CONCLUSIONS

A majority of patients with severe sepsis according to the ACCP/SCCM criteria were not discharged with ICD codes corresponding to the ICD code abstraction strategies; thus, the abstraction strategies did not identify the correct patients.

Sepsis Incidence: A Population-Based Study

Background.

Although sepsis is a major health problem, data on sepsis epidemiology are scarce. The aim of this study was to assess the incidence of sepsis, based on clinical findings in all adult patients treated with intravenous antibiotic in all parts of all hospitals in an entire population.

Methods.

This is a retrospective chart review of patients ≥18 years, living in 2 regions in Sweden, who were started on an intravenous antibiotic therapy on 4 dates, evenly distributed over the year of 2015. The main outcome was the incidence of sepsis with organ dysfunction. The mean population ≥18 years at 2015 in the regions was 1275753. Five hundred sixty-three patients living in the regions were started on intravenous antibiotic treatment on the dates of the survey. Patients who had ongoing intravenous antibiotic therapy preceding the inclusion dates were excluded, if sepsis was already present.

Results.

Four hundred eighty-two patients were included in the study; 339 had a diagnosed infection, of those, 96 had severe sepsis according to the 1991/2001 sepsis definitions, and 109 had sepsis according to the sepsis-3. This is equivalent to an annual incidence of traditional severe sepsis of 687/100000 persons (95% confidence interval [CI], 549–824) or according to the sepsis-3 definition of 780/100000 persons (95% CI, 633–926). Seventy-four patients had sepsis according to both definitions.

Conclusions.

The incidence of sepsis with organ dysfunction is higher than most previous estimates independent of definition. The inclusion of all inpatients started on intravenous antibiotic treatment of sepsis in a population makes an accurate assessment of sepsis incidence possible.

Growing burden of sepsis-related mortality in northeastern Italy: a multiple causes of death analysis

BACKGROUND

Few population-based data are available on mortality due to sepsis. The aim of the study was to estimate sepsis-related mortality rates and to assess the associated comorbidities.

METHODS

From multiple causes of death data (MCOD) of the Veneto Region (northeastern Italy), all deaths with sepsis mentioned anywhere in the death certificate were retrieved for the period 2008-2013. Among these deaths the prevalence of common chronic comorbidities was investigated, as well as the distribution of the underlying cause of death (UCOD), the single disease selected from all condition mentioned in the certificate and usually tabulated in mortality statistics. Age-standardized mortality rates were computed for sepsis selected as the UCOD, and for sepsis mentioned anywhere in the certificate.

RESULTS

Overall 16,906 sepsis-related deaths were tracked. Sepsis was mentioned in 6.3 % of all regional deaths, increasing from 4.9 in 2008 to 7.7 % in 2013. Sepsis was the UCOD in 0.6 % of total deaths in 2008, and in 1.6 % in 2013. Age-standardized mortality rates increased by 45 % for all sepsis-related deaths, and by 140 % for sepsis as the UCOD. Sepsis was often reported in the presence of chronic comorbidities, especially neoplasms, diabetes, circulatory diseases, and dementia. Respiratory tract and intra-abdominal infections were the most frequently associated sites of infection.

CONCLUSIONS

MCOD analyses provide an estimate of the burden of sepsis-related mortality. MCOD data suggest an increasing importance attributed to sepsis by certifying physicians, but also a real increase in mortality rates, thus confirming trends reported in some other countries by analyses of hospital discharge records.

Inpatient Mortality Among Solid Organ Transplant Recipients Hospitalized for Sepsis and Severe Sepsis

BACKGROUND

Solid organ transplant (SOT) recipients are at elevated risk of sepsis. The impact of SOT on outcomes following sepsis is unclear.

METHODS

We performed a retrospective cohort study using data from University HealthSystem Consortium, a consortium of academic medical center affiliates. We examined the association between SOT and mortality among patients hospitalized with severe sepsis or explicitly coded sepsis in 2012-2014. We used International Classification of Diseases, Ninth Revision (ICD-9) codes to identify severe sepsis, explicitly coded sepsis, and SOT (kidney, liver, heart, lung, pancreas, or intestine transplants). We fit random-intercept logistic regression models to account for clustering by hospital.

RESULTS

There were 903 816 severe sepsis hospitalizations (39 618 [4.4%] with SOT) and 410 623 sepsis hospitalizations (14 526 [3.9%] with SOT) in 250 hospitals. SOT recipients were younger and more likely to be insured by Medicare than those without SOT. Among hospitalizations for severe sepsis and sepsis, in-hospital mortality was lower among those with vs those without SOT (5.5% vs 9.4% for severe sepsis; 8.7% vs 12.7% for sepsis). After adjustment, the odds ratio for mortality comparing SOT patients vs non-SOT was 0.83 (95% confidence interval [CI], .79-.87) for severe sepsis and 0.78 (95% CI, .73-.84) for sepsis. Compared to non-SOT patients, kidney, liver, and co-transplant (kidney-pancreas/kidney-liver) recipients demonstrated lower mortality. No association was present for heart transplant, and lung transplant was associated with higher mortality.

CONCLUSIONS

Among patients hospitalized for severe sepsis or sepsis, those with SOT had lower inpatient mortality than those without SOT. Identifying the specific strategies employed for populations with improved mortality could inform best practices for sepsis among SOT and non-SOT populations.

Community-onset sepsis and its public health burden: a systematic review

BACKGROUND

Sepsis is a life-threatening condition and major contributor to public health and economic burden in the industrialised world. The difficulties in accurate diagnosis lead to great variability in estimates of sepsis incidence. There has been even greater uncertainty regarding the incidence of and risk factors for community-onset sepsis (COS). We systematically reviewed the recent evidence on the incidence and risk factors of COS in high income countries (North America, Australasia, and North/Western Europe).

METHODS

Cohort and case-control studies were eligible for inclusion. Medline and Embase databases were searched from 2002 onwards. References of relevant publications were hand-searched. Two reviewers screened titles/abstracts and full-texts independently. One reviewer extracted data and appraised studies which were cross-checked by independent reviewers. Disagreements were resolved via consensus. Odds ratios (ORs) and 95 percent confidence intervals (95 % CIs) were ascertained by type of sepsis (non-severe, severe, and septic shock).

RESULTS

Ten cohort and 4 case-control studies were included. There was a wide variation in the incidence (# cases per 100,000 per year) of non-severe sepsis (range: 64-514), severe sepsis (range: 40-455), and septic shock (range: 9-31). Heterogeneity precluded statistical pooling. Two cohort and 4 case-control studies reported risk factors for sepsis. In one case-control and one cohort study, older age and diabetes were associated with increased risk of sepsis. The same case-control study showed an excess risk for sepsis in participants with clinical conditions (e.g., immunosuppression, lung disease, and peripheral artery disease). In one cohort study, higher risk of sepsis was associated with being a nursing home resident (OR = 2.60, 95 % CI: 1.20, 5.60) and in the other cohort study with being physically inactive (OR = 1.33, 95 % CI: 1.13, 1.56) and smoking tobacco (OR = 1.85, 95 % CI: 1.54, 2.22). The evidence on sex, ethnicity, statin use, and body mass index as risk factors was inconclusive.

CONCLUSIONS

The lack of a valid standard approach for defining sepsis makes it difficult to determine the true incidence of COS. Differences in case ascertainment contribute to the variation in incidence of COS. The evidence on COS is limited in terms of the number and quality of studies. This review highlights the urgent need for an accurate and standard method for identifying sepsis. Future studies need to improve the methodological shortcomings of previous research in terms of case definition, identification, and surveillance practice.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42015023484.

Trends and Outcomes of Severe Sepsis in Patients on Maintenance Dialysis

BACKGROUND

Though the incidence of severe sepsis is rising, there is a lack of contemporary information regarding the epidemiology and outcomes of severe sepsis in those on maintenance dialysis. The objectives of this study were to measure the incidence and outcomes of severe sepsis in those on maintenance dialysis.

METHODS

Using data from Nationwide Inpatient Sample database from 2005 to 2010, we included all hospitalizations of adults with severe sepsis based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. Those on maintenance dialysis were identified by ICD-9-CM codes. We calculated incidence of severe sepsis and mortality. We used logistic regression to assess independent effect of maintenance dialysis status on mortality.

RESULTS

Of the estimated 5,000,152 hospitalizations with severe sepsis, 322,734 (6.4%) were on maintenance dialysis. The unadjusted incidence of severe sepsis was 145.4 per 1,000 in those on maintenance dialysis in comparison to 3.5 per 1,000 in the general population. Mortality was higher in those with severe sepsis (30.3 vs. 26.2%; p < 0.001). Maintenance dialysis is an independent predictor of death in those with severe sepsis (OR 1.26; 95% CI 1.23-1.29).

CONCLUSIONS

Hospitalizations with severe sepsis are more prevalent and associated with poor outcomes in those on maintenance dialysis.

Enzymatic changes in myosin regulatory proteins may explain vasoplegia in terminally ill patients with sepsis

The current study was conducted with the hypothesis that failure of maintenance of the vascular tone may be central to failure of the peripheral circulation and spiralling down of blood pressure in sepsis. Namely, we examined the balance between expression of myosin light chain (MLC) phosphatase and kinase, enzymes that regulate MLCs dephosphorylation and phosphorylation with a direct effect on pharmacomechanical coupling for smooth muscle relaxation and contraction respectively. Mechanical recordings and enzyme immunoassays of vascular smooth muscle lysates were used as the major methods to examine arterial biopsy samples from terminally ill sepsis patients. The results of the present study provide evidence that genomic alteration of expression of key regulatory proteins in vascular smooth muscles may be responsible for the relentless downhill course in sepsis. Down-regulation of myosin light chain kinase (MLCK) and up-regulation of MLCK may explain the loss of tone and failure to mount contractile response in vivo during circulation. The mechanical studies demonstrated the inability of the arteries to develop tone when stimulated by phenylephrine in vitro. The results of our study provide indirect hint that control of inflammation is a major therapeutic approach in sepsis, and may facilitate to ameliorate the progressive cardiovascular collapse.

Billing diagnoses do not accurately identify out-of-hospital cardiac arrest patients: An analysis of a regional healthcare system

BACKGROUND

International Classification of Diseases 9th Edition's Clinical Modification (ICD-9CM) codes are frequently used in health services research. We tested the operating characteristics of ICD-9CM codes for identifying out-of-hospital cardiac arrest (OHCA) subjects.

METHODS

We used ICD-9CM codes to generate an "administrative cohort" of subjects treated after possible OHCA at one of six emergency departments (EDs) between January 2010 and April 2014. We performed a structured chart review to determine proportion of this administrative cohort with actual OHCA (true positive rate for the ICD-9CM-based search method). The largest study site maintains a prospective registry of consecutive OHCA subjects, which we used to construct a "registry cohort". We used this cohort to calculate the sensitivity of the ICD-9CM-based search strategy at this site, and compared in-hospital mortality and discharge dispositions between the two cohorts using Chi-square tests.

RESULTS

ICD-9CM codes identified 2461 subjects that comprised the administrative cohort. Of these, the true positive rate for actual OHCA on chart review was 40%. ICD9-CM code sensitivity was 100% for subjects coded as dead on arrival and 19% for subjects coded as surviving to ED disposition. There were 609 OHCA subjects in the registry cohort and 268 subjects in the administrative cohort who presented to registry site. Only 26 subjects appeared in both cohorts. In-hospital mortality was significantly higher in the administrative cohort than the registry cohort (91% vs. 61%, p<0.001), and hospital discharge disposition of survivors was less favorable (p<0.001). Neither difference persisted after excluding subjects surviving <6h.

CONCLUSION

Compared to a prospective registry, ICD-9CM codes are an insensitive method to identify OHCA subjects. Moreover, ICD-9CM codes identify a biased sample of the OHCA population with higher mortality.

Community-onset sepsis and its public health burden: protocol of a systematic review

BACKGROUND

Sepsis is a life-threatening condition and major contributor of public health and economic burden in the industrialised world. The heterogeneity, absence of more specific definition, and difficulties in accurate diagnosis lead to great variability in the estimates of sepsis incidence. There has been uncertainty regarding the incidence and risk factors attributable to community-onset as opposed to hospital-acquired sepsis. Community-onset sepsis has distinct host characteristics, risk factors, pathogens, and prognosis. A systematic assessment of recent evidence is warranted in light of secular changes in epidemiology, pathogens, and the uncertainties around the incidence and risk factors of community-onset sepsis. This protocol describes a systematic review which aims to synthesise the recent empirical evidence on the incidence and risk factors of community-onset sepsis, severe sepsis, and septic shock in high-income countries.

METHODS/DESIGN

English-language publications of cohort and case-control studies reporting incidence and risk factors of community-onset sepsis will be eligible for inclusion. MEDLINE and Embase databases will be searched from 2002 and onwards. References of relevant publications will be hand-searched. Two reviewers will independently screen titles/abstracts and full texts as well as extract data and appraise the risk of bias of included studies. The data extractions and risk of bias assessments will be cross-checked. Any disagreements will be resolved via consensus. The data on incidence and risk factors of sepsis will be organised and synthesised in text, tables, and forest plots. The evidence will be pooled given sufficient data and degree of similarity across study populations, exposures, and outcomes. The heterogeneity will be assessed through visual inspection of forest plots, Chi-square-based p value, and I (2) statistic. The sources of heterogeneity will be explored via subgroup analysis.

DISCUSSION

Timeliness and accuracy of diagnosis of sepsis are both crucial aspects for improving the patient's outcome. The findings of this review will be discussed with a view to better inform future recommendations on improving public-facing campaigns, timely presentation, and diagnosis of sepsis in the community. The review will also discuss gaps in evidence and highlight future research and policy-making avenues for improving public health planning.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42015023484.

Burden and spectrum of infectious disease in Germany 2009-2014: a multicentre study from Berlin's Municipal Hospitals

PURPOSE

This study aimed at assessing the burden and spectrum of infectious diseases (ID) in a Metropolitan population in Germany.

METHODS

A discharge database using ICD-10 codes enabled the identification of hospitalizations with infection-related diagnoses. All hospital admissions between 2009 and 2014 were analysed from 9 municipal hospitals serving approximately one-third of an urban population of 3.5 million people.

RESULTS

We identified 114,168 admissions with a primary (first-listed) ID diagnosis and 220,483 admissions with any-listed ID diagnosis, accounting for 8.9 % [95 % confidence interval (CI) 8.9-9.0 %] and 17.2 % (95 % CI 17.1-17.3) of all 1,284,559 admissions, respectively. Annually, 439,837 bed-days (range 413,707-488,520) were occupied by patients with an ID diagnosis, utilizing 22.8 % of total bed capacity. The median length of stay for patients with primary ID diagnosis and secondary ID diagnosis was 6 days (IQR 3-11) and 10 days (IQR 5-19), respectively. The most common diagnosis across all age groups was "pneumonia" (22.8 and 16.2 % of ID admissions as primary and secondary diagnosis, respectively). In-hospital mortality was 6.8 % (95 % CI 6.6-6.9) and 8.9 % (95 % CI 8.7-9.1) for ID as primary and secondary diagnosis, respectively.

CONCLUSION

Infectious diseases contribute significantly to the overall burden of disease in a health system caring for an urban German population. In view of the magnitude of ID's contribution, establishing more specialists in ID medicine and adjusting the reimbursements for managing infection-related admissions should be made a public health priority in Germany.

Black-white racial disparities in sepsis: a prospective analysis of the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort

INTRODUCTION

Sepsis is a major public health problem. Prior studies using hospital-based data describe higher rates of sepsis among black than whites participants. We sought to characterize racial differences in incident sepsis in a large cohort of adult community-dwelling adults.

METHODS

We analyzed data on 29,690 participants from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. We determined the associations between race and first-infection and first-sepsis events, adjusted for participant sociodemographics, health behaviors, chronic medical conditions and biomarkers. We also determined the association between race and first-sepsis events limited to first-infection events. We contrasted participant characteristics and hospital course between black and white sepsis hospitalizations.

RESULTS

Among eligible REGARDS participants there were 12,216 (41.1%) black and 17,474 (58.9%) white participants. There were 2,600 first-infection events; the incidence of first-infection events was lower for black participants than for white participants (12.10 vs. 15.76 per 1,000 person-years; adjusted HR 0.65; 95% CI, 0.59-0.71). There were 1,526 first-sepsis events; the incidence of first-sepsis events was lower for black participants than for white participants (6.93 vs. 9.10 per 1,000 person-years, adjusted HR 0.64; 95% CI, 0.57-0.72). When limited to first-infection events, the odds of sepsis were similar between black and white participants (adjusted OR 1.01; 95% CI, 0.84-1.21). Among first-sepsis events, black participants were more likely to be diagnosed with severe sepsis (76.9% vs. 71.5%).

CONCLUSION

In the REGARDS cohort, black participants were less likely than white participants to experience infection and sepsis events. Further efforts should focus on elucidating the underlying reasons for these observations, which are in contrast to existing literature.