Epidemiology of sepsis in Taiwan

Preventable deaths involving sepsis in England and Wales, 2013-2022: a systematic case series of coroners' reports

PURPOSE

Coroners' Prevention of Future Death (PFDs) reports are an under-utilized resource to learn about preventable deaths in England and Wales. We aimed to identify sepsis-related PFDs and explore the causes and concerns in this subset of preventable sepsis deaths.

METHODS

Four thousand three hundred five reports were acquired from the Courts and Tribunals Judiciary website between July 2013 and November 2022, which were screened for sepsis. Demographic information, coroners concerns and responses to these reports were extracted and analyzed, including a detailed paediatric subgroup analysis.

RESULTS

Two hundred sixty-five reports (6% of total PFDs) involved sepsis-related deaths. The most common cause of death in these reports was "sepsis without septic shock" (42%) and the most common site of infection was the respiratory system (18%) followed by gastrointestinal (16%) and skin (13%) infections. Specific pathogens were named in few reports (27%). Many deaths involved multimorbid patients (49%) or those with recent surgery (26%). Coroners named 773 individual concerns, the most frequent were: a failure to keep accurate records or notes (28%), failure in communication or handover (27%) or failure to recognize risk factors or comorbidities (20%). Paediatric cases frequently reported issues with sepsis screening tools (26%). Sepsis PFDs resulted in 421 individual reports being sent, of which 45% received no response. Most organisations who did respond acknowledged concerns and initiated a new change (74%).

CONCLUSION

Sepsis-related PFDs provide valuable insights into preventable causes of sepsis and identify important sources of improvement in sepsis care. Wider dissemination of findings is vital to learn from these reports.

Sepsis-coded hospitalisations and associated costs in Australia: a retrospective analysis

OBJECTIVE

To report trends in Australian hospitalisations coded for sepsis and their associated costs.

DESIGN

Retrospective analysis of Australian national hospitalisation data from 2002 to 2021.

METHODS

Sepsis-coded hospitalisations were identified using the Global Burden of Disease study sepsis-specific ICD-10 codes modified for Australia. Costs were calculated using Australian-Refined Diagnosis Related Group codes and National Hospital Cost Data Collection.

RESULTS

Sepsis-coded hospitalisations increased from 36,628 in 2002-03 to 131,826 in 2020-21, an annual rate of 7.8%. Principal admission diagnosis codes contributed 13,843 (37.8%) in 2002-03 and 44,186 (33.5%) in 2020-21; secondary diagnosis codes contributed 22,785 (62.2%) in 2002-03 and 87,640 (66.5%) in 2020-21. Unspecified sepsis was the most common sepsis code, increasing from 15,178 hospitalisations in 2002-03 to 68,910 in 2020-21. The population-based incidence of sepsis-coded hospitalisations increased from 18.6 to 10,000 population (2002-03) to 51.3 per 10,000 (2021-21); representing an increase from 55.1 to 10,000 hospitalisations in 2002-03 to 111.4 in 2020-21. Sepsis-coded hospitalisations occurred more commonly in the elderly; those aged 65 years or above accounting for 20,573 (55.6%) sepsis-coded hospitalisations in 2002-03 and 86,135 (65.3%) in 2020-21. The cost of sepsis-coded hospitalisations increased at an annual rate of 20.6%, from AUD199M (€127 M) in financial year 2012 to AUD711M (€455 M) in 2019.

CONCLUSION

Hospitalisations coded for sepsis and associated costs increased significantly from 2002 to 2021 and from 2012 to 2019, respectively.

Four Assessment Tools for Predicting Mortality and Adverse Events in Surgical Patients With Sepsis and Septic Shock: A Comparative Study

BACKGROUND

The mortality rate for sepsis and septic shock in surgical patients is approximately 36%, which is higher than that of other medical patients. Predisposition, infection/injury, response, and organ dysfunction (PIRO) is currently the most widely used tool for assessing patients with surgical sepsis. However, it is not a standardized assessment tool for surgical patients in general.

PURPOSE

The purposes of this study were to (a) create a modified PIRO (mPIRO) that adds a count of platelets and does not include a body temperature reading; (b) test the sensitivity and specificity of the mPIRO for predicting mortality and adverse events among patients with surgical sepsis; and (c) compare the predictive accuracy of the mPIRO, sequential organ failure assessment (SOFA), quick SOFA, and PIRO tools.

METHODS

A retrospective observational cohort study was conducted. Two thousand fifty-five patient medical records were reviewed, with 103 identified as meeting the inclusion criteria.

RESULTS

Compared with the other tools, mPIRO ≥ 4 achieved better sensitivity (90.5%) in predicting mortality and high sensitivity (72%) and specificity (80%) in predicting adverse events. mPIRO was the most accurate predictor of mortality (area under the receiver operating characteristic curve [AUC] = 0.83) among the tools considered. SOFA and mPIRO were the first and second most accurate predictor of adverse events, respectively, with respective AUC values of 0.86 and 0.82.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

mPIRO, which employs an easy-to-use scoring system, is a valid assessment tool with good sensitivity and AUC for predicting both mortality and adverse events in patients with surgical sepsis. We recommend using mPIRO ≥ 3 as an indicator of potential adverse events.

Update on Sepsis Epidemiology in the Era of COVID-19

Timely and accurate data on the epidemiology of sepsis is essential to inform public policy, clinical practice, and research priorities. Recent studies have illuminated several ongoing questions about sepsis epidemiology, including the incidence and outcomes of sepsis in non-Western countries and in specialized populations such as surgical patients, patients with cancer, and the elderly. There have also been new insights into the limitations of current surveillance methods using administrative data and increasing experience tracking sepsis incidence and outcomes using "big data" approaches that take advantage of detailed electronic health record data. The COVID-19 pandemic, however, has fundamentally changed the landscape of sepsis epidemiology. It has increased sepsis rates, helped highlight ongoing controversies about how to define sepsis, and intensified debate about the possible unintended consequences of overly rigid sepsis care bundles. Despite these controversies, there is a growing consensus that severe COVID-19 causing organ dysfunction is appropriate to label as sepsis, even though it is treated very differently from bacterial sepsis, and that surveillance strategies need to be modified to reliably identify these cases to fully capture and delineate the current burden of sepsis. This review will summarize recent insights into the epidemiology of sepsis and highlight several urgent questions and priorities catalyzed by COVID-19.

Association of Peripheral Arterial Occlusive Disease and Deep Venous Thrombosis with Risk of Consequent Sepsis Event: A Retrospective Population-Based Cohort Study

Peripheral artery occlusive disease (PAOD) and deep vein thrombosis (DVT) can cause a variety of acute and chronic vascular complications and put patients at risk of subsequent sepsis. This study aimed to determine whether DVT compared with PAOD patients would increase the risk of sepsis. This study recruited 43,535 patients newly diagnosed as having PAOD and 6932 patients who were newly diagnosed as having DVT from a population of 2 million patients from the Longitudinal Health Insurance Database. Propensity score matching (PSM) between the PAOD and DVT groups was performed for age, sex, comorbidities, and prior antibiotic administration. A total of 4383 patients with PAOD and 4383 patients with DVT were analyzed for risk of sepsis. The incidence density of sepsis per 1000 person years for patients with PAOD was 25.75 (95% CI = 23.90 to 27.74) and 35.61 (95% CI = 33.29 to 38.09) for patients with DVT. After age, sex, associated comorbidities, and antibiotic administration were adjusted for, the risk of sepsis for the DVT group was 1.46-fold (95% CI = 1.32-1.62) higher than that for the PAOD group. In conclusion, patients with DVT were associated with a higher risk of subsequent sepsis than patients with PAOD. Aging was another risk factor.

Blood-Brain Barrier Disruption by Lipopolysaccharide and Sepsis-Associated Encephalopathy

As a complex multicellular structure of the vascular system at the central nervous system (CNS), the blood-brain barrier (BBB) separates the CNS from the system circulation and regulates the influx and efflux of substances to maintain the steady-state environment of the CNS. Lipopolysaccharide (LPS), the cell wall component of Gram-negative bacteria, can damage the barrier function of BBB and further promote the occurrence and development of sepsis-associated encephalopathy (SAE). Here, we conduct a literature review of the direct and indirect damage mechanisms of LPS to BBB and the relationship between these processes and SAE. We believe that after LPS destroys BBB, a large number of inflammatory factors and neurotoxins will enter and damage the brain tissue, which will activate brain immune cells to mediate inflammatory response and in turn further destroys BBB. This vicious circle will ultimately lead to the progression of SAE. Finally, we present a succinct overview of the treatment of SAE by restoring the BBB barrier function and summarize novel opportunities in controlling the progression of SAE by targeting the BBB.

Application of a 72 h National Early Warning Score and Incorporation with Sequential Organ Failure Assessment for Predicting Sepsis Outcomes and Risk Stratification in an Intensive Care Unit: A Derivation and Validation Cohort Study

We investigated the best timing for using the National Early Warning Score 2 (NEWS2) for predicting sepsis outcomes and whether combining the NEWS2 and the Sequential Organ Failure Assessment (SOFA) was applicable for mortality risk stratification in intensive care unit (ICU) patients with severe sepsis. All adult patients who met the Third International Consensus Definitions for Sepsis and Septic Shock criteria between August 2013 and January 2017 with complete clinical parameters and laboratory data were enrolled as a derivation cohort. The primary outcomes were the 7-, 14-, 21-, and 28-day mortalities. Furthermore, another group of patients under the same setting between January 2020 and March 2020 were also enrolled as a validation cohort. In the derivation cohort, we included 699 consecutive adult patients. The 72 h NEWS2 had good discrimination for predicting 7-, 14-, 21-, and 28-day mortalities (AUC: 0.780, 0.724, 0.700, and 0.667, respectively) and was not inferior to the SOFA (AUC: 0.740, 0.680, 0.684, and 0.677, respectively). With the new combined NESO tool, the hazard ratio was 1.854 (1.203-2.950) for the intermediate-risk group and 6.810 (3.927-11.811) for the high-risk group relative to the low-risk group. This finding was confirmed in the validation cohort using a separated survival curve for 28-day mortality. The 72 h NEWS2 alone was non-inferior to the admission SOFA or day 3 SOFA for predicting sepsis outcomes. The NESO tool was found to be useful for 7-, 14-, 21-, and 28-day mortality risk stratification in patients with severe sepsis.

A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients

Background

Combining tubular damage and functional biomarkers may improve prediction precision of acute kidney injury (AKI). Serum cystatin C (sCysC) represents functional damage of kidney, while urinary N-acetyl-β-D-glucosaminidase (uNAG) is considered as a tubular damage biomarker. So far, there is no nomogram containing this combination to predict AKI in septic cohort. We aimed to compare the performance of AKI prediction models with or without incorporating these two biomarkers and develop an effective nomogram for septic patients in intensive care unit (ICU).

Methods

This was a prospective study conducted in the mixed medical-surgical ICU of a tertiary care hospital. Adults with sepsis were enrolled. The patients were divided into development and validation cohorts in chronological order of ICU admission. A logistic regression model for AKI prediction was first constructed in the development cohort. The contribution of the biomarkers (sCysC, uNAG) to this model for AKI prediction was assessed with the area under the receiver operator characteristic curve (AUC), continuous net reclassification index (cNRI), and incremental discrimination improvement (IDI). Then nomogram was established based on the model with the best performance. This nomogram was validated in the validation cohort in terms of discrimination and calibration. The decision curve analysis (DCA) was performed to evaluate the nomogram’s clinical utility.

Results

Of 358 enrolled patients, 232 were in the development cohort (69 AKI), while 126 in the validation cohort (52 AKI). The first clinical model included the APACHE II score, serum creatinine, and vasopressor used at ICU admission. Adding sCysC and uNAG to this model improved the AUC to 0.831. Furthermore, incorporating them significantly improved risk reclassification over the predictive model alone, with cNRI (0.575) and IDI (0.085). A nomogram was then established based on the new model including sCysC and uNAG. Application of this nomogram in the validation cohort yielded fair discrimination with an AUC of 0.784 and good calibration. The DCA revealed good clinical utility of this nomogram.

Conclusions

A nomogram that incorporates functional marker (sCysC) and tubular damage marker (uNAG), together with routine clinical factors may be a useful prognostic tool for individualized prediction of AKI in septic patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-021-02388-w.

Association of sepsis with risk for osteoporosis: a population-based cohort study

We conducted a large, retrospective cohort study using data from Taiwan's National Health Insurance Research Database to evaluate whether the risk of developing osteoporosis is associated with sepsis. Our study found that adults younger than 65 years with sepsis had a significantly increased risk of developing osteoporosis.

INTRODUCTION

There have been limited studies regarding the osteoporosis risk associated with sepsis. Our purpose is to evaluate whether the risk of developing osteoporosis is associated with sepsis.

METHODS

We conducted a large, retrospective cohort study using data from Taiwan's National Health Insurance Research Database. From the insurance claims data, a total of 13,178 patients diagnosed with sepsis from 2000 to 2012 were included in the sepsis cohort, and a propensity score-matched cohort included 13,178 individuals without sepsis. To calculate the incidence of osteoporosis, both groups were followed until 2013. Cox regression analysis was performed to obtain the hazard ratios (HRs) to assess the risk of developing osteoporosis. The Kaplan-Meier method was used to estimate the cumulative incidence of osteoporosis.

RESULTS

The overall incidences of osteoporosis (per 1,000 person-years) in the sepsis and non-sepsis groups were 10.2 and 10.7, respectively. The risk of osteoporosis significantly increased in the presence of sepsis (adjusted HR = 1.17, 95% confidence interval (CI) = 1.04-1.31). The risk of osteoporosis in the sepsis group was significantly higher than that in the non-sepsis group for young patients aged 20-49 years and patients aged 50-64 years (adjusted HR = 1.93, 95% CI = 1.08-3.44; adjusted HR = 2.01, 95% CI = 1.52-2.65, respectively). The Kaplan-Meier curves of cumulative probability also showed a significantly increased risk of osteoporosis in patients aged 20-49 years and aged 50-64 years with sepsis compared with non-sepsis (P = 0.025; P < 0.001, respectively).

CONCLUSION

Adults younger than 65 years with sepsis had a significantly increased risk of developing osteoporosis.

Epidemiology and outcomes of sepsis among hospitalizations with systemic lupus erythematosus admitted to the ICU: a population-based cohort study

Background

Sepsis is the most common cause of premature death among patients with systemic lupus erythematosus (SLE) aged ≤ 50 years in the United States, and infection is the most common cause of admission to the ICU among SLE patients. However, there are no population-level data on the patterns of the demand for critical care services among hospitalized septic patients with SLE or the outcomes of those admitted to the ICU.

Methods

We performed a retrospective cohort study, using the Texas Inpatient Public Use Data File, to identify SLE hospitalizations aged ≥ 18 years and the subgroups with sepsis and ICU admission during 2009–2014. The patterns of ICU admission among septic hospitalizations were examined. Logistic regression modeling was used to identify predictors of short-term mortality (defined as hospital death or discharge to hospice) among ICU admissions with sepsis and to estimate the risk-adjusted short-term mortality among ICU admissions with and without sepsis.

Results

Among 94,338 SLE hospitalizations, 17,037 (18.1%) had sepsis and 9409 (55.2%) of the latter were admitted to the ICU. Sepsis accounted for 51.5% of the growth in volume of ICU admissions among SLE hospitalizations during the study period. Among ICU admissions with sepsis, 25.3% were aged ≥ 65 years, 88.6% were female, and 64.4% were non-white minorities. The odds of short-term mortality among septic ICU admissions were increased among those lacking health insurance (adjusted odds ratio 1.40 [95% confidence interval 1.07–1.84]), while being unaffected by gender and race/ethnicity, and remaining unchanged over the study period. On adjusted analyses among ICU admissions, the short-term mortality among those with and without sepsis was 13% (95% CI 12.6–13.3) and 2.7% (95% CI 2.6–2.8), respectively. Sepsis was associated with 63.6% of all short-term mortality events.

Conclusions

Sepsis is a major, incremental driver of the demand for critical care services among SLE hospitalizations. Despite its relatively low mortality, sepsis was associated with most of the short-term deaths among ICU patients with SLE.