Hospital case volume and outcomes among patients hospitalized with severe sepsis

Association of Intensive Care Unit Case Volume With Mortality and Cost in Sepsis Based on a Japanese Nationwide Medical Claims Database Study

Background The impact of intensive care unit (ICU) case volume on the mortality and medical costs of sepsis has not been fully elucidated. We hypothesized that ICU case volume is associated with mortality and medical costs in patients with sepsis in Japan. Methodology This retrospective nationwide study used the Japanese administrative data from 2010 to 2017. The ICU volume categorization into quartiles was performed according to the annual number of sepsis cases. The primary and secondary outcomes were in-hospital mortality and medical costs, respectively. A mixed-effects logistic model with a two-level hierarchical structure was used to adjust for baseline imbalances. Fractional polynomials were investigated to determine the significance of the association between hospital volume and clinical outcomes. Subgroup and sensitivity analyses were performed for the primary outcome. Results Among 317,365 sepsis patients from 532 hospitals, the crude in-hospital mortality was 26.0% and 21.4% in the lowest and highest quartile of sepsis volume, respectively. After adjustment for confounding factors, in-hospital mortality in the highest quartile was significantly lower than that of the lowest quartile (odds ratio = 0.829; 95% confidence interval = 0.794-0.865; p < 0.001). Investigations with fractional polynomials revealed that sepsis caseload was significantly associated with in-hospital mortality. The highest quartile had higher daily medical costs per person compared to the lowest quartile. Subgroup analyses showed that high-volume ICUs with patients undergoing mechanical ventilation, vasopressor therapy, and renal replacement therapy had a significantly low in-hospital mortality. The sensitivity analysis, excluding patients who were transferred to other hospitals, demonstrated a result consistent with that of the primary test. Conclusions This nationwide study using the medical claims database suggested that a higher ICU case volume is associated with lower in-hospital mortality and higher daily medical costs per person in patients with sepsis.

Predictive value of laboratory indicators for in-hospital death in children with community-onset sepsis: a prospective observational study of 266 patients

BACKGROUND AND OBJECTIVES

This study aimed to identify predictors of sepsis-associated in-hospital mortality from readily available laboratory biomarkers at onset of illness that include haematological, coagulation, liver and kidney function, blood lipid, cardiac enzymes and arterial blood gas.

METHODS

Children with sepsis were enrolled consecutively in a prospective observational study involving paediatric intensive care units (PICUs) of two hospitals in Beijing, between November 2016 and January 2020. The data on demographics, laboratory examinations during the first 24 hours after PICU admission, complications and outcomes were collected. We screened baseline laboratory indicators using the Least Absolute Shrinkage and Selection Operator (LASSO) analysis, then we constructed a mortality risk model using Cox proportional hazards regression analysis. The ability of risk factors to predict in-hospital mortality was evaluated by receiver operating characteristic (ROC) curves.

RESULTS

A total of 266 subjects were enrolled including 44 (16.5%) deaths and 222 (83.5%) survivors. Those who died showed a shorter length of hospitalisation, and a higher proportion of mechanical ventilation, complications and organ failure (p<0.05). LASSO analysis identified 13 clinical parameters related to prognosis, which were included in the final Cox model. An elevated triglyceride (TG) remained the most significant risk factor of death (HR=1.469, 95% CI: 1.010 to 2.136, p=0.044), followed by base excess (BE) (HR=1.131, 95% CI: 1.046 to 1.223, p=0.002) and pH (HR=0.95, 95% CI: 0.93 to 0.97, p<0.001). The results of the ROC curve showed that combined diagnosis of the three indicators-TG+BE+pH-has the best area under the curve (AUC) (AUC=0.77, 95% CI: 0.69 to 0.85, p<0.001), with a 68% sensitivity and 80% specificity.

CONCLUSION

Laboratory factors of TG, BE and pH during the first 24 hours after intensive care unit admission are associated with in-hospital mortality in PICU patients with sepsis. The combination of the three indices has high diagnostic value.

Inpatient Rehabilitation Facility Ownership Type Yields Mixed Performances on Quality Measures

OBJECTIVE

To evaluate the effects of inpatient rehabilitation facility (IRF) ownership type on IRF-Quality Reporting Program (IRF-QRP) measures.

DESIGN

Cross-sectional, observational design.

SETTING

We used 2 Centers for Medicare and Medicare publicly-available, facility-level data sources: (1) IRF compare files and (2) IRF rate setting files - final rule. Data from 2021 were included.

PARTICIPANTS

The study sample included 1092 IRFs (N=1092).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

We estimated the effects of IRF ownership type, defined as for-profit and nonprofit, on 15 IRF-QRP measures using general linear models. Models were adjusted for the following facility-level characteristics: (1) Centers for Medicare and Medicaid census divisions; (2) number of discharges; (3) teaching status; (4) freestanding vs hospital unit; and (5) estimated average weight per discharge.

RESULTS

Ownership type was significantly associated with 9 out of the fifteen IRF-QRP measures. Nonprofit IRFs performed better with having lower readmissions rates within stay and 30-day post discharge. For-profit IRFs performed better for all the functional measures and with higher rates of returning to home and the community. Lastly, for-profit IRFs spent more per Medicare beneficiary.

CONCLUSIONS

Ideally, IRF performance would not vary based on ownership type. However, we found that ownership type is associated with IRF-QRP performance scores. We suggest that future studies investigate how ownership type affects patient-level outcomes and the longitudinal effect of ownership type on IRF-QRP measures.

Chicoric acid ameliorates sepsis-induced cardiomyopathy via regulating macrophage metabolism reprogramming

BACKGROUND

Sepsis-related cardiac dysfunction is believed to be a primary cause of high morbidity and mortality. Metabolic reprogramming is closely linked to NLRP3 inflammasome activation and dysregulated glycolysis in activated macrophages, leading to inflammatory responses in septic cardiomyopathy. Succinate dehydrogenase (SDH) and succinate play critical roles in the progression of metabolic reprogramming in macrophages. Inhibition of SDH may be postulated as an effective strategy to attenuate macrophage activation and sepsis-induced cardiac injury.

PURPOSE

This investigation was designed to examine the role of potential compounds that target SDH in septic cardiomyopathy and the underlying mechanisms involved.

METHODS/RESULTS

From a small molecule pool containing about 179 phenolic compounds, we found that chicoric acid (CA) had the strongest ability to inhibit SDH activity in macrophages. Lipopolysaccharide (LPS) exposure stimulated SDH activity, succinate accumulation and superoxide anion production, promoted mitochondrial dysfunction, and induced the expression of hypoxia-inducible factor-1α (HIF-1α) in macrophages, while CA ameliorated these changes. CA pretreatment reduced glycolysis by elevating the NAD+/NADH ratio in activated macrophages. In addition, CA promoted the dissociation of K(lysine) acetyltransferase 2A (KAT2A) from α-tubulin, and thus reducing α-tubulin acetylation, a critical event in the assembly and activation of NLRP3 inflammasome. Overexpression of KAT2A neutralized the effects of CA, indicating that CA inactivated NLRP3 inflammasome in a specific manner that depended on KAT2A inhibition. Importantly, CA protected the heart against endotoxin insult and improved sepsis-induced cardiac mitochondrial structure and function disruption. Collectively, CA downregulated HIF-1α expression via SDH inactivation and glycolysis downregulation in macrophages, leading to NLRP3 inflammasome inactivation and the improvement of sepsis-induced myocardial injury.

CONCLUSION

These results highlight the therapeutic role of CA in the resolution of sepsis-induced cardiac inflammation.

Patient and Hospital Characteristics Associated With the Interhospital Transfer of Adult Patients With Sepsis

IMPORTANCE

The interhospital transfer (IHT) of patients with sepsis to higher-capability hospitals may improve outcomes. Little is known about patient and hospital factors associated with sepsis IHT.

OBJECTIVES

We evaluated patterns of hospitalization and IHT and determined patient and hospital factors associated with the IHT of adult patients with sepsis.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

A total of 349,938 adult patients with sepsis at 329 nonfederal hospitals in California, 2018-2019.

MAIN OUTCOMES AND MEASURES

We evaluated patterns of admission and outward IHT between low sepsis-, intermediate sepsis-, and high sepsis-capability hospitals. We estimated odds of IHT using generalized estimating equations logistic regression with bootstrap stepwise variable selection.

RESULTS

Among the cohort, 223,202 (66.4%) were initially hospitalized at high-capability hospitals and 10,870 (3.1%) underwent IHT. Nearly all transfers (98.2%) from low-capability hospitals were received at higher-capability hospitals. Younger age (< 65 yr) (adjusted odds ratio [aOR] 1.54; 95% CI, 1.40-1.69) and increasing organ dysfunction (aOR 1.22; 95% CI, 1.19-1.25) were associated with higher IHT odds, as were admission to low-capability (aOR 2.79; 95% CI, 2.33-3.35) or public hospitals (aOR 1.35; 95% CI, 1.09-1.66). Female sex (aOR 0.88; 95% CI, 0.84-0.91), Medicaid insurance (aOR 0.59; 95% CI, 0.53-0.66), home to admitting hospital distance less than or equal to 10 miles (aOR 0.92; 95% CI, 0.87-0.97) and do-not-resuscitate orders (aOR 0.48; 95% CI, 0.45-0.52) were associated with lower IHT odds, as was admission to a teaching hospital (aOR 0.83; 95% CI, 0.72-0.96).

CONCLUSIONS AND RELEVANCE

Most patients with sepsis are initially hospitalized at high-capability hospitals. The IHT rate for sepsis is low and more likely to originate from low-capability and public hospitals than from high-capability and for-profit hospitals. Transferred patients with sepsis are more likely to be younger, male, sicker, with private medical insurance, and less likely to have care limitation orders. Future studies should evaluate the comparative benefits of IHT from low-capability hospitals.

The Relationship Between Hospital Capability and Mortality in Sepsis: Development of a Sepsis-Related Hospital Capability Index

OBJECTIVES

Regionalized sepsis care could improve sepsis outcomes by facilitating the interhospital transfer of patients to higher-capability hospitals. There are no measures of sepsis capability to guide the identification of such hospitals, although hospital case volume of sepsis has been used as a proxy. We evaluated the performance of a novel hospital sepsis-related capability (SRC) index as compared with sepsis case volume.

DESIGN

Principal component analysis (PCA) and retrospective cohort study.

SETTING

A total of 182 New York (derivation) and 274 Florida and Massachusetts (validation) nonfederal hospitals, 2018.

PATIENTS

A total of 89,069 and 139,977 adult patients (≥ 18 yr) with sepsis were directly admitted into the derivation and validation cohort hospitals, respectively.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We derived SRC scores by PCA of six hospital resource use characteristics (bed capacity, annual volumes of sepsis, major diagnostic procedures, renal replacement therapy, mechanical ventilation, and major therapeutic procedures) and classified hospitals into capability score tertiles: high, intermediate, and low. High-capability hospitals were mostly urban teaching hospitals. Compared with sepsis volume, the SRC score explained more variation in hospital-level sepsis mortality in the derivation (unadjusted coefficient of determination [ R2 ]: 0.25 vs 0.12, p < 0.001 for both) and validation (0.18 vs 0.05, p < 0.001 for both) cohorts; and demonstrated stronger correlation with outward transfer rates for sepsis in the derivation (Spearman coefficient [ r ]: 0.60 vs 0.50) and validation (0.51 vs 0.45) cohorts. Compared with low-capability hospitals, patients with sepsis directly admitted into high-capability hospitals had a greater number of acute organ dysfunctions, a higher proportion of surgical hospitalizations, and higher adjusted mortality (odds ratio [OR], 1.55; 95% CI, 1.25-1.92). In stratified analysis, worse mortality associated with higher hospital capability was only evident among patients with three or more organ dysfunctions (OR, 1.88 [1.50-2.34]).

CONCLUSIONS

The SRC score has face validity for capability-based groupings of hospitals. Sepsis care may already be de facto regionalized at high-capability hospitals. Low-capability hospitals may have become more adept at treating less complicated sepsis.

Are patient volume and care level in teaching hospitals variables affecting clinical outcomes in adult intensive care units?

Teixeira et al. showed that patients admitted to the intensive care unit of a teaching hospital in a non-metropolitan region needed more support, had worse prognostic indices, and had a higher nursing workload in the first 24 hours of admission. In addition, worse outcomes, including mortality, need for dialysis, pressure injury, infection, prolonged mechanical ventilation, and prolonged hospital stay, were observed in the teaching hospital. Worse outcomes were more prevalent in the teaching hospital. Understanding the importance of teaching hospitals to implement well-established care protocols is critical.

OBJECTIVE

To compare the clinical outcomes of patients admitted to the intensive care unit of teaching (HI) and nonteaching (without an academic affiliation; H2) hospitals.

METHODS

In this prospective cohort study, adult patients hospitalized between August 2018 and July 2019, with a minimum length of stay of 24 hours in the intensive care unit, were included. Patients with no essential information in their medical records to evaluate the study outcomes were excluded. Resuslts: Overall, 219 patients participated in this study. The clinical and demographic characteristics of patients in H1 and H2 were similar. The most prevalent clinical outcomes were death, need for dialysis, pressure injury, length of hospital stay, mechanical ventilation >48 hours, and infection, all of which were more prevalent in the teaching hospital.

CONCLUSION

Worse outcomes were more prevalent in the teaching hospital. There was no difference between the institutions concerning the survival rate of patients as a function of length of hospital stay; however, a difference was observed in intensive care unit admissions.

Identification of heptapeptides targeting a lethal bacterial strain in septic mice through an integrative approach

Effectively killing pathogenic bacteria is key for the treatment of sepsis. Although various anti-infective drugs have been used for the treatment of sepsis, the therapeutic effect is largely limited by the lack of a specific bacterium-targeting delivery system. This study aimed to develop antibacterial peptides that specifically target pathogenic bacteria for the treatment of sepsis. The lethal bacterial strain Escherichia coli MSI001 was isolated from mice of a cecal ligation and puncture (CLP) model and was used as a target to screen bacterial binding heptapeptides through an integrative bioinformatics approach based on phage display technology and high-throughput sequencing (HTS). Heptapeptides binding to E. coli MSI001 with high affinity were acquired after normalization by the heptapeptide frequency of the library. A representative heptapeptide VTKLGSL (VTK) was selected for fusion with the antibacterial peptide LL-37 to construct the specific-targeting antibacterial peptide VTK-LL37. We found that, in comparison with LL37, VTK-LL37 showed prominent bacteriostatic activity and an inhibitive effect on biofilm formation in vitro. In vivo experiments demonstrated that VTK-LL37 significantly inhibited bacterial growth, reduced HMGB1 expression, alleviated lesions of vital organs and improved the survival of mice subjected to CLP modeling. Furthermore, membrane DEGP and DEGQ were identified as VTK-binding proteins by proteomic methods. This study provides a novel strategy for targeted pathogen killing, which is helpful for the treatment of sepsis in the era of precise medicine.

Updated estimates of sepsis hospitalizations at United States academic medical centers

Objective

Sepsis is a major public health problem. Understanding the epidemiology of sepsis subtypes is important to quantify the magnitude of the problem and identify targets for system wide treatment strategies. We sought to describe the current national epidemiology of community-acquired (CAS), hospital-acquired (HAS) and healthcare-associated sepsis (HCAS) hospitalizations among academic medical centers in the United States using current discharge diagnosis taxonomies.

Methods

Retrospective analysis of patient discharge data from the Vizient Clinical Data Base/Resource Manager. We identified sepsis hospitalizations using four ICD-10 coding strategies: (1) "Martin" sepsis codes (21 ICD-10 codes), (2) "Angus" sepsis codes (ICD-10 infection + ICD-10 organ dysfunction), (3) Medicare "SEP-1" codes (28 ICD-10 codes), and (4) "explicit sepsis" codes (ICD-10 R65.20 and R65.21). Using present-on-admission flags for each diagnosis, we also distinguished: (1) community-acquired sepsis (CAS), (2) hospital-acquired sepsis (HAS), and (3) healthcare associated sepsis (HCAS).

Results

Among 22,655,240 hospitalizations, the number and incidence of sepsis hospitalizations were: (1) Martin (n = 1,718,257, 75.8 per 1000 hospitalizations), (2) Angus (n = 2,749,163, 121.3 per 1000), (3) SEP-1 (n = 1,624,909, 71.7 per 1000), and (4) explicit sepsis (n = 655,853, 28.9 per 1000). CAS was the most common sepsis subtype. HAS exhibited higher adjusted mortality than CAS. ICU admission was highest for HAS (Martin, 1.5%; Angus, 1.5%; SEP-1, 1.6%; Explicit, 1.9%).

Conclusions

These results illustrate the prevalence of sepsis at US academic medical centers using the most current sepsis classification taxonomies and discharge diagnosis codes. These results highlight important considerations when using hospital discharge data to characterize the epidemiology of sepsis.

Hospital-related costs of sepsis around the world: A systematic review exploring the economic burden of sepsis

AIM

The aim of this study was to examine the quality of manuscripts reporting sepsis health care costs and to provide an overview of hospital-related expenditures for sepsis in adult patients around the world.

METHODS

We systematically searched the PubMed, EMBASE, Cochrane and Google Scholar to identify relevant studies between January 2010 and January 2022. We selected articles that provided costs and cost-effectiveness analyses, defined sepsis and described their cost calculation method. All costs were adjusted to 2020 US dollars. Medians and interquartile ranges (IQRs) for various costs of sepsis were calculated. The quality of economic studies was assessed using the Drummond 10-item checklist.

RESULTS

Overall, 26 studies met our eligibility criteria. The mean total hospital costs per patient varied largely, between €1101 and €91,951. The median (IQR) of the total sepsis costs per country were €36,191 (€17,158 - €53,349), which equals €50 (€34 - €84) per capita annually. The relative amount of healthcare budget spent on sepsis was 2.65%, which equals 0.33% of the gross national product (GNP).

CONCLUSION

While general sepsis costs are high, there is considerable variability between countries regarding the costs of sepsis. Further studies examining the impact on sepsis costs, especially on the general ward, can help justify, design and monitor initiatives on prevention, diagnosis, and treatment of this time-critical and potentially preventable disease.

Intensive Care Unit Volume of Sepsis Patients Does Not Affect Mortality: Results of a Nationwide Retrospective Analysis

BACKGROUND

There is little research evaluating outcomes from sepsis in intensive care units (ICUs) with lower sepsis patient volumes as compared to ICUs with higher sepsis patient volumes. Our objective was to compare the outcomes of septic patients admitted to ICUs with different sepsis patient volumes.

MATERIALS AND METHODS

We included all patients from the eICU-CRD database admitted for the management of sepsis with blood lactate ≥ 2mmol/L within 24 hours of admission. Our primary outcome was ICU mortality. Secondary outcomes included hospital mortality, 30-day ventilator free days, and initiation of renal replacement therapy (RRT). ICUs were grouped in quartiles based on the number of septic patients treated at each unit.

RESULTS

10,716 patients were included in our analysis; 272 (2.5%) in low sepsis volume ICUs, 1,078 (10.1%) in medium-low sepsis volume ICUs, 2,608 (24.3%) in medium-high sepsis volume ICUs, and 6,758 (63.1%) in high sepsis volume ICUs. On multivariable analyses, no significant differences were documented regarding ICU and hospital mortality, and ventilator days in patients treated in lower versus higher sepsis volume ICUs. Patients treated at lower sepsis volume ICUs had lower rates of RRT initiation as compared to high volume units (medium-high vs. high: OR = 0.78, 95%CI = 0.66-0.91, P-value = 0.002 and medium-low vs. high: OR = 0.57, 95%CI = 0.44-0.73, P-value < 0.001).

CONCLUSION

The previously described volume-outcome association in septic patients was not identified in an intensive care setting.

Effect of Implementation of an Early Treatment of Sepsis Protocol on Surgical Outcomes

Sepsis outcomes remain high regarding mortality and morbidity, despite efforts to reduce them. We retrospectively evaluated a protocol in the first 6 months of implementation to measure outcomes. Retrospective data collection and analysis was performed of 200 consecutive patients seen in the ED during the first 4 months of 2020 after implementation of the sepsis protocol (group 1) and compared to another 200 consecutive patients during the same time frame in 2019 before the sepsis protocol (group 2). The collected parameters included age, gender, race, length of stay comorbid conditions, mortality, and therapy received. Statistical significance was determined at a p-value ≤.05. Mean age and gender of the groups were similar, 64 vs 66 years for group 1 and 2, respectively. Each group was 45% male. Mean length of stay were 8.9 and 8.6 days in group 1 and 2, respectively. Group 1 had a mortality rate of 13% vs 18% in group 2 (p = .21). Comorbid conditions including cardiovascular disease, diabetes, renal failure, and COPD were analyzed regarding mortality that influenced outcomes using Cox regression analysis. COPD and diabetic patient mortality were significantly lower in the protocol group. Surgical patients had a survival rate of 92.4%. Therefore, the current protocol for sepsis management did improve mortality. Further studies with a larger number of patients are in progress.

Regionalization of Critical Care in the United States: Current State and Proposed Framework From the Academic Leaders in Critical Care Medicine Task Force of the Society of the Critical Care Medicine

OBJECTIVES

The Society of Critical Care Medicine convened its Academic Leaders in Critical Care Medicine taskforce on February 22, 2016, during the 45th Critical Care Congress to develop a series of consensus papers with toolkits for advancing critical care organizations in North America. The goal of this article is to propose a framework based on the expert opinions of critical care organization leaders and their responses to a survey, for current and future critical care organizations, and their leadership in the health system to design and implement successful regionalization for critical care in their regions.

DATA SOURCES AND STUDY SELECTION

Members of the workgroup convened monthly via teleconference with the following objectives: to 1) develop and analyze a regionalization survey tool for 23 identified critical care organizations in the United States, 2) assemble relevant medical literature accessed using Medline search, 3) use a consensus of expert opinions to propose the framework, and 4) create groups to write the subsections and assemble the final product.

DATA EXTRACTION AND SYNTHESIS

The most prevalent challenges for regionalization in critical care organizations remain a lack of a strong central authority to regulate and manage the system as well as a lack of necessary infrastructure, as described more than a decade ago. We provide a framework and outline a nontechnical approach that the health system and their critical care medicine leadership can adopt after considering their own structure, complexity, business operations, culture, and the relationships among their individual hospitals. Transforming the current state of regionalization into a coordinated, accountable system requires a critical assessment of administrative and clinical challenges and barriers. Systems thinking, business planning and control, and essential infrastructure development are critical for assisting critical care organizations.

CONCLUSIONS

Under the value-based paradigm, the goals are operational efficiency and patient outcomes. Health systems that can align strategy and operations to assist the referral hospitals with implementing regionalization will be better positioned to regionalize critical care effectively.

Association of Annual Intensive Care Unit Sepsis Caseload With Hospital Mortality From Sepsis in the United Kingdom, 2010-2016

IMPORTANCE

Sepsis is associated with a high burden of inpatient mortality. Treatment in intensive care units (ICUs) that have more experience treating patients with sepsis may be associated with lower mortality.

OBJECTIVE

To assess the association between the volume of patients with sepsis receiving care in an ICU and hospital mortality from sepsis in the UK.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data from adult patients with sepsis from 231 UK ICUs between 2010 and 2016. Demographic and clinical data were extracted from the Intensive Care National Audit & Research Centre (ICNARC) Case Mix Programme database. Data were analyzed from January 1, 2010, to December 31, 2016.

EXPOSURES

Annual sepsis case volume in an ICU in the year of a patient's admission.

MAIN OUTCOMES AND MEASURES

Hospital mortality after ICU admission for sepsis assessed using a mixed-effects logistic model in a 3-level hierarchical structure based on the number of individual patients nested in years nested within ICUs.

RESULTS

Among 273 001 patients included in the analysis, the median age was 66 years (interquartile range, 53-76 years), 148 149 (54.3%) were male, and 248 275 (91.0%) were White. The mean ICNARC-2018 illness severity score was 21.0 (95% CI, 20.9-21.0). Septic shock accounted for 19.3% of patient admissions, and 54.3% of patients required mechanical ventilation. The median annual sepsis volume per ICU was 242 cases (interquartile range, 177-334 cases). The study identified a significant association between the volume of sepsis cases in the ICU and mortality from sepsis; in the logistic regression model, hospital mortality was significantly lower among patients admitted to ICUs in the highest quartile of sepsis volume compared with the lowest quartile (odds ratio [OR], 0.89; 95% CI, 0.82-0.96; P = .002). With volume modeled as a restricted cubic spline, treatment in a larger ICU was associated with lower hospital mortality. A lower annual volume threshold of 215 patients above which hospital mortality decreased significantly was found; 38.8% of patients were treated in ICUs below this threshold volume. There was no significant interaction between ICU volume and severity of illness as described by the ICNARC-2018 score (β [SE], -0.00014 [0.00024]; P = .57).

CONCLUSIONS AND RELEVANCE

The findings suggest that patients with sepsis in the UK have higher odds of survival if they are treated in an ICU with a larger sepsis case volume. The benefit of a high sepsis case volume was not associated with the severity of the sepsis episode.

Prevalence and Outcomes of Multi-Drug Resistant Blood Stream Infections Among Nursing Home Residents Admitted to an Acute Care Hospital

OBJECTIVE

The prevalence of multi-drug resistant organism (MDRO) colonization in nursing home residents has been well documented, but little is known about the impact of MDRO bloodstream infections (BSIs). The aim of this study was to assess the prevalence, cost, and outcomes of MDRO-BSI vs. non-MDRO-BSI among nursing home residents.

DESIGN

Retrospective cohort study.

SETTING

960 bed tertiary academic medical center.

PATIENTS

Persons ≥18 years old admitted to an acute care tertiary hospital from Skilled Nursing Facilities with a diagnosis of sepsis between 2015 and 2018.

INTERVENTIONS

Retrospective analysis of prevalence and outcomes.

MEASUREMENTS AND MAIN RESULTS

Among patients admitted to the study hospital with a diagnosis of sepsis during the study period, 7% were from nursing homes. The prevalence of MDRO-BSI was 47%. We identified 54 (50%) gram positive BSIs, 48 (45%) gram negative BSI and 5 (5%) fungal BSI. Thirty-one (57%) of the gram-positive infections and 14 (30%) of the gram-negative infections were with MDROs. The prevalence of BSI organisms were Staphylococcus aureus in 24%, Escherichia coli in 14%, Proteus mirabilis in 13%, Staphylococcus epidermidis in 8%, Enterococcus faecalis in 7%, and Klebsiella pneumoniae in 6%. We found that intensive care unit length of stay (7 days vs 5 days, P = .009), direct cost ($13,639 vs $9,922, P = .027), and total cost ($23,752 vs $17,900 P = .032) were significantly higher in patients with MDRO-BSI vs. non-MDRO-BSI. Patients with MDRO-BSI were twice as likely to receive inappropriate empiric antiinfective therapy (31% vs 16%, P = .006) and were more likely to die (49.1% vs 29.6%, P = .049).

CONCLUSION

Nursing home residents have a high prevalence of MDRO-BSI, which is associated with higher risk of receiving inappropriate initial anti-infective therapy, higher cost, higher ICU LOS, and higher mortality. Our research adds new information about the prevalence of fungemia in this population.

Transplant center experience influences spontaneous survival and waitlist mortality in acute liver failure: An analysis of the UNOS database

Transplant centers coordinate complex care in acute liver failure (ALF), for which liver transplant (LT) can be lifesaving. We studied associations between waitlist outcomes and center (1) ALF waitlist volume (low: <20; medium: 20-39; high: 40+ listings) and (2) total LT volume (<600, 600-1199, 1200+ LTs) in a retrospective cohort of 3248 adults with ALF listed for LT at 92 centers nationally from 2002 to 2019. Predicted outcome probabilities (LT, died/too sick, spontaneous survival [SS]) were obtained with multinomial regression, and observed-to-expected ratios were calculated. Median center outcome rates were 72.6% LT, 18.2% died/too sick, and 6.1% SS. SS was significantly higher with greater center ALF volume (median 0% for low-, 5.9% for medium-, and 8.6% for high-volume centers; P = .039), while waitlist mortality was highest at low-volume centers (median 21.4%, IQR: 16.1%-26.7%; P = .042). Significant heterogeneity in center performance was observed for waitlist mortality (observed-to-expected ratio range: 0-4.1) and particularly for SS (0-6.4), which persisted despite accounting for recipient case mix. This novel study demonstrates that increased center experience is associated with greater SS and reduced waitlist mortality for ALF. More-focused management pathways are needed to improve ALF outcomes at less-experienced centers and to identify opportunities for improvement at large.

Differences in Treatment of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis at Burn Centers and Nonburn Centers

Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), and Stevens-Johnson/TEN overlap syndrome (SJS/TEN) are severe exfoliative skin disorders resulting primarily from allergic drug reactions and sometimes from viral causes. Because of the significant epidermal loss in many of these patients, many of them end up receiving treatment at a burn center for expertise in the care of large wounds. Previous work on the treatment of this disease focused only on the differences in care of the same patients treated at nonburn centers and then transferred to burn centers. We wanted to explore whether patients had any differences in care or outcomes when they received definitive treatment at burn centers and nonburn centers. We queried the National Inpatient Sample database from 2016 for patients with SJS, SJS/TEN, and TEN diagnoses. We considered burn centers as those with greater than 10 burn transfers to their center and fewer than 5 burn transfers out of their center in a year. Multivariable logistic regression assessed factors associated with treatment at a burn center and mortality. Using the National Inpatient Sample, a total of 1164 patients were identified. These were divided into two groups, nonburn centers vs burn centers, and those groups were compared for demographic characteristics as well as variables in their hospital course and outcome. Patients treated at nonburn centers were more likely to have SJS and patients treated at burn centers were more likely to have both SJS/TEN and TEN. Demographics were similar between treatment locations, though African-Americans were more likely to be treated at a burn center. Burn centers had higher rates of patients with extreme severity and mortality risks and a longer length of stay. However, burn centers had similar actual mortality compared to nonburn centers. Patients treated at burn centers had higher charges and were more likely to be transferred to long-term care after their hospital stay. The majority of patients with exfoliative skin disorders are still treated at nonburn centers. Patients with SJS/TEN and TEN were more likely to be treated at a burn center. Patients treated at burn centers appear to have more severe disease but similar mortality to those treated at nonburn centers. Further study is needed to determine whether patients with these disorders do indeed benefit from transfer to a burn center.

Hospital-level variation in the development of persistent critical illness

PURPOSE

Patients with persistent critical illness may account for up to half of all intensive care unit (ICU) bed-days. It is unknown if there is hospital variation in the development of persistent critical illness and if hospital performance affects the incidence of persistent critical illness.

METHODS

This is a retrospective analysis of Veterans admitted to the Veterans Administration (VA) ICUs from 2015 to 2017. Hospital performance was defined by the risk- and reliability-adjusted 30-day mortality. Persistent critical illness was defined as an ICU length of stay of at least 11 days. We used 2-level multilevel logistic regression models to assess variation in risk- and reliability-adjusted probabilities in the development of persistent critical illness.

RESULTS

In the analysis of 100 hospitals which encompassed 153,512 hospitalizations, 4.9% (N = 7640/153,512) developed persistent critical illness. There was variation in the development of persistent critical illness despite controlling for patient characteristics (intraclass correlation: 0.067, 95% CI 0.049-0.091). Hospitals with higher risk- and reliability-adjusted 30-day mortality had higher probabilities of developing persistent critical illness (predicted probability: 0.057, 95% CI 0.051-0.063, p < 0.01) compared to those with lower risk- and reliability-adjusted 30-day mortality (predicted probability: 0.046, 95% CI 0.041-0.051, p < 0.01). The median odds ratio was 1.4 (95% CI 1.33-1.49) implying that, for two patients with the same physiology on admission at two different VA hospitals, the patient admitted to the hospital with higher adjusted mortality would have 40% greater odds of developing persistent critical illness.

CONCLUSION

Hospitals with higher risk- and reliability-adjusted 30-day mortality have a higher probability of developing persistent critical illness. Understanding the drivers of this variation may identify modifiable factors contributing to the development of persistent critical illness.

National Performance on the Medicare SEP-1 Sepsis Quality Measure

OBJECTIVES

The Centers for Medicare and Medicaid Services requires hospitals to report compliance with a sepsis treatment bundle as part of its Inpatient Quality Reporting Program. We used recently released data from this program to characterize national performance on the sepsis measure, known as SEP-1.

DESIGN

Cross-sectional study of United States hospitals participating in the Centers for Medicare and Medicaid Services Hospital Inpatient Quality Reporting Program linked to Centers for Medicare and Medicaid Services' Healthcare Cost Reporting Information System.

SETTING

General, short-stay, acute-care hospitals in the United States.

MEASUREMENTS AND MAIN RESULTS

We examined the hospital factors associated with reporting SEP-1 data, the hospital factors associated with performance on the SEP-1 measure, and the relationship between SEP-1 performance and performance on other quality measures related to time-sensitive medical conditions. A total of 3,283 hospitals were eligible for the analysis, of which 2,851 (86.8%) reported SEP-1 performance data. SEP-1 reporting was more common in larger, nonprofit hospitals. The most common reason for nonreporting was an inadequate case volume. Among hospitals reporting SEP-1 performance data, overall bundle compliance was generally low, but it varied widely across hospitals (mean and SD: 48.9% ± 19.4%). Compared with hospitals with worse SEP-1 performance, hospitals with better SEP-1 performance tended to be smaller, for-profit, nonteaching, and with intermediate-sized ICUs. Better hospital performance on SEP-1 was associated with higher rates of timely head CT interpretation for stroke patients (rho = 0.16; p < 0.001), more frequent aspirin administration for patients with chest pain or heart attacks (rho = 0.24; p < 0.001) and shorter median time to electrocardiogram for patients with chest pain (rho = -0.12; p < 0.001).

CONCLUSIONS

The majority of eligible hospitals reported SEP-1 data, and overall bundle compliance was highly variable. SEP-1 performance was associated with structural hospital characteristics and performance on other measures of hospital quality, providing preliminary support for SEP-1 performance as a marker of timely hospital sepsis care.

Interhospital variation in mortality among patients with systemic lupus erythematosus and sepsis in the USA

OBJECTIVE

To determine whether the risk of mortality in patients with SLE hospitalized with sepsis varies among hospitals in the USA.

METHODS

We used the National Inpatient Sample (2002-2011) to obtain national population-based data on outcomes for adults with SLE admitted with sepsis, and compared it with that for patients without SLE admitted with sepsis at the same hospital. We computed expected mortality based on patient demographic characteristics, comorbidities and major organ dysfunction, and calculated observed/expected (O/E) mortality ratios separately for patients with SLE and without SLE for each hospital. We then computed the ratio of these O/E ratios within hospitals to assess relative SLE mortality. We considered hospitals with a risk ratio (RR) of ⩾2.0 as having high relative SLE mortality.

RESULTS

Among 424 hospitals that treated a total of 4024 patients with SLE and sepsis, the risk of in-hospital mortality varied from 0% to 60% (median 11.1%). The RR ranged from 0 to 9.75, with a median of 0.84, indicating that O/E mortality was similar in patients with and without SLE at the average hospital. Sixty-one hospitals (14.4%) had a RR of ⩾2.0, indicating higher mortality among patients with SLE. Hospitals that on average treated ⩾3.9 patients with SLE and sepsis annually were less likely to have a RR of ⩾2.0 than hospitals that treated fewer patients (10% vs 17%; P = 0.004).

CONCLUSION

Mortality among patients with SLE and sepsis varied widely between hospitals, and was lower at hospitals that treated more of these patients.

Effects of a national quality improvement program on ICUs in China: a controlled pre-post cohort study in 586 hospitals

INTRODUCTION

Patient safety and critical care quality remain a challenging issue in the ICU. However, the effects of the national quality improvement (QI) program remain unknown in China.

METHODS

A national ICU QI program was implemented in a controlled cohort of 586 hospitals from 2016 to 2018. The effects of the QI program on critical care quality were comprehensively investigated.

MAIN RESULTS

A total of 81,461,554 patients were enrolled in 586 hospitals, and 1,587,724 patients were admitted to the ICU over 3 years. In 2018, there was a significantly higher number of ICU beds (2016 vs. 2018: 10668 vs. 13,661, P = 0.0132) but a lower doctor-to-bed ratio (2016 vs. 2018: 0.64 (0.50, 0.83) vs. 0.60 (0.45, 0.75), P = 0.0016) and nurse-to-bed ratio (2016 vs. 2018: 2.00 (1.64, 2.50) vs. 2.00 (1.50, 2.40), P = 0.031) than in 2016. Continuous and significant improvements in the ventilator-associated pneumonia (VAP) incidence rate, microbiology detection rate before antibiotic use and deep vein thrombosis (DVT) prophylaxis rate were associated with the implementation of the QI program (VAP incidence rate (per 1000 ventilator-days), 2016 vs. 2017 vs. 2018: 11.06 (4.23, 22.70) vs. 10.20 (4.25, 23.94) vs. 8.05 (3.13, 17.37), P = 0.0002; microbiology detection rate before antibiotic use (%), 2016 vs. 2017 vs. 2018: 83.91 (49.75, 97.87) vs. 84.14 (60.46, 97.24) vs. 90.00 (69.62, 100), P < 0.0001; DVT prophylaxis rate, 2016 vs. 2017 vs. 2018: 74.19 (33.47, 96.16) vs. 71.70 (38.05, 96.28) vs. 83.27 (47.36, 97.77), P = 0.0093). Moreover, the 6-h SSC bundle compliance rates in 2018 were significantly higher than those in 2016 (6-h SSC bundle compliance rate, 2016 vs. 2018: 64.93 (33.55, 93.06) vs. 76.19 (46.88, 96.67)). A significant change trend was not found in the ICU mortality rate from 2016 to 2018 (ICU mortality rate (%), 2016 vs. 2017 vs. 2018: 8.49 (4.42, 14.82) vs. 8.95 (4.89, 15.70) vs. 9.05 (5.12, 15.80), P = 0.1075).

CONCLUSIONS

The relationship between medical human resources and ICU overexpansion was mismatched during the past 3 years. The implementation of a national QI program improved ICU performance but did not reduce ICU mortality.

Hospital Mechanical Ventilation Volume and Patient Outcomes: Too Much of a Good Thing?

OBJECTIVES

Prior studies investigating hospital mechanical ventilation volume-outcome associations have had conflicting findings. Volume-outcome relationships within contemporary mechanical ventilation practices are unclear. We sought to determine associations between hospital mechanical ventilation volume and patient outcomes.

DESIGN

Retrospective cohort study.

SETTING

The California Patient Discharge Database 2016.

PATIENTS

Adult nonsurgical patients receiving mechanical ventilation.

INTERVENTIONS

The primary outcome was hospital death with secondary outcomes of tracheostomy and 30-day readmission. We used multivariable generalized estimating equations to determine the association between patient outcomes and hospital mechanical ventilation volume quartile.

MEASUREMENTS AND MAIN RESULTS

We identified 51,689 patients across 274 hospitals who required mechanical ventilation in California in 2016. 38.2% of patients died in the hospital with 4.4% receiving a tracheostomy. Among survivors, 29.5% required readmission within 30 days of discharge. Patients admitted to high versus low volume hospitals had higher odds of death (quartile 4 vs quartile 1 adjusted odds ratio, 1.40; 95% CI, 1.17-1.68) and tracheostomy (quartile 4 vs quartile 1 adjusted odds ratio, 1.58; 95% CI, 1.21-2.06). However, odds of 30-day readmission among survivors was lower at high versus low volume hospitals (quartile 4 vs quartile 1 adjusted odds ratio, 0.77; 95% CI, 0.67-0.89). Higher hospital mechanical ventilation volume was weakly correlated with higher hospital risk-adjusted mortality rates (ρ = 0.16; p = 0.008). These moderately strong observations were supported by multiple sensitivity analyses.

CONCLUSIONS

Contrary to previous studies, we observed worse patient outcomes at higher mechanical ventilation volume hospitals. In the setting of increasing use of mechanical ventilation and changes in mechanical ventilation practices, multiple mechanisms of worse outcomes including resource strain are possible. Future studies investigating differences in processes of care between high and low volume hospitals are necessary.

Double inter-hospital transfer in Sepsis patients presenting to the ED does not worsen mortality compared to single inter-hospital transfer

PURPOSE

Sepsis is a leading cause of hospital deaths. Inter-hospital transfer is frequent in sepsis and is associated with increased mortality. Some sepsis patients undergo two inter-hospital transfers (double transfer). This study assessed the (1) prevalence, (2) associated risk factors, (3) associated mortality, and (4) hospital length-of-stay and costs of double-transfer of sepsis patients.

MATERIALS AND METHODS

Retrospective cohort study using 2005-2014 administrative claims data in Iowa. Multivariable generalized estimating equations adjusted for potential confounding variables, with a primary outcome of mortality. Secondary outcomes included hospital length-of-stay and costs. Hospital-specific cost-to-charge ratios estimated hospital costs. Hospitals were categorized into quintiles based on sepsis-volume.

RESULTS

Of 15,182 sepsis subjects, there were 45.2% non-transfers and 2.1% double-transfers. Double-transfers had worse mortality than non-transfers but not single-transfers. Of the non-transfers, 44.9% presented to a top sepsis-volume hospital compared to 22.8% of double-transfers and 25.1% of single-transfers. After transfer from first to second hospital, 93.4% of the single-transfers and 92.2% of the double-transfers were at a top sepsis-volume hospital. Double-transfers had longer length-of-stay and more in total hospital costs than single-transfers.

CONCLUSIONS

Double-transfer occurs in 2.1% of Iowa sepsis patients. Double-transfers had similar mortality and increased length of stay and costs compared to single-transfers.

Predictors and Costs of 30-Day Readmissions After Index Hospitalizations for Alcohol-Related Disorders in U.S. Adults

BACKGROUND

In 2015, the Hospital Readmissions Reduction Program mandated financial penalties to hospitals with greater rates of readmissions for certain conditions. Alcohol-related disorders (ARD) are the fourth leading cause of 30-day readmissions. Yet, there is a dearth of national-level research to identify high-risk patient populations and predictors of 30-day readmission. This study examined patient- and hospital-level predictors for index hospitalizations with principal diagnosis of ARD and predicted the cost of 30-day readmissions.

METHODS

The 2014 Nationwide Readmissions Database was used to identify ARD-related index hospitalizations. Multivariable logistic regression was used to estimate patient- and hospital-level predictors for readmissions, and a 2-part model was used to predict the incremental cost conditional upon readmission.

RESULTS

In 2014, 285,767 index hospitalizations for ARD were recorded, and 18.9% of ARD-associated hospitalizations resulted in at least one 30-day readmission. Patients who were males, aged 45 to 64 years, Medicaid enrollees, living in urban and low-income areas, or with 1 to 2 comorbidities had high risk of readmission. Index hospitalization costs were higher among readmitted patients ($8,840 vs. $8,036, p < 0.01). Predicted mean costs for readmissions on index stay with ARD were greater among those aged 45 to 64 years ($1,908, p < 0.001), Medicare enrollees ($2,133, p < 0.001), rural residents ($1,841, p < 0.01), living in high-income areas ($1,876, p < 0.001), with 4 or more comorbidities ($2,415, p < 0.001), or admitted in large metropolitan hospitals ($2,032, p < 0.001), with large number of beds ($1,964, p < 0.001), with government ownership ($2,109, p < 0.001), or with low volume of ARD cases ($2,155, p < 0.001).

CONCLUSIONS

One in 5 ARD-related index hospitalizations resulted in a 30-day readmission. Overall, costs of index hospitalizations for ARD were $2.3 billion, of which $512 million were spent on hospitalizations that resulted in at least 1 readmission. There is a need to develop patient-centric health programs to reduce readmission rates and costs among ARD patients.

Differences in effect of early enteral nutrition on mortality among ventilated adults with shock requiring low-, medium-, and high-dose noradrenaline: A propensity-matched analysis

BACKGROUND & AIMS

Despite extensive research on early enteral nutrition (EEN), it remains unclear whether EEN is effective for patients with shock requiring vasopressors. This study aimed to compare outcomes between EEN and late enteral nutrition (LEN) in ventilated patients with shock requiring low-, medium-, or high-dose noradrenaline.

METHODS

Using a national inpatient database in Japan, we identified ventilated patients admitted to intensive care units who had shock requiring catecholamines (noradrenaline or dobutamine) from July 2010 to March 2016. We defined patients who started enteral nutrition within 2 days after starting mechanical ventilation as EEN group and the others as LEN group. Propensity score matching was performed between patients undergoing EEN and LEN in each of the low- (<0.1 μg/kg/min), medium- (0.1-0.3 μg/kg/min), and high-dose (≥0.3 μg/kg/min) noradrenaline groups.

RESULTS

We identified 52,563 eligible patients during the 69-month study period, including 38,488, 11,042, and 3033 patients in the low-, medium-, and high-dose noradrenaline groups, respectively. One-to-two propensity score matching created 5,969, 2,162, and 477 one-to-two matched pairs in the low-, medium-, and high-dose noradrenaline groups, respectively. The 28-day mortality rate was significantly lower in the EEN than LEN group in the low-dose noradrenaline group (risk difference, -2.9%; 95% confidence interval [CI], -4.5% to -1.3%) and in the medium-dose noradrenaline group (risk difference, -6.8%; 95% CI, -9.6% to -4.0%). In the high-dose noradrenaline group, 28-day mortality did not differ significantly between the EEN and LEN groups (absolute risk difference, -1.4%; 95% CI, -7.4%-4.7%).

CONCLUSIONS

Although the size of the subgroup requiring high-dose noradrenaline may have been too small to demonstrate a significant difference, the results suggest that EEN was associated with a reduction in mortality in ventilated adults treated with low- or medium-dose noradrenaline but not in those requiring high-dose noradrenaline.

Outcomes comparison in patients admitted to low complexity rural and urban intensive care units in the Veterans Health Administration

PURPOSE

To evaluate mortality, length of stay, and inter-hospital transfer in the Veteran Health Administration (VHA) among low complexity Intensive Care Unit (ICU) patients.

MATERIALS AND METHOD

Retrospective study of adult ICU admissions identified in VHA Medical SAS®; 2010-2015 at Veterans Affairs (VA) Medical Centers. Facilities classified by the Rural Urban Commuting Area code algorithm as large rural (referred to as rural) (N = 6) or urban (N = 33).

RESULTS

In rural hospitals, patients (N = 9665) were less likely to have a respiratory (12.9% v. 18.9%; p < .001) diagnosis, more likely diagnosed with sepsis (17.6% v. 4.9%), and had a higher illness severity score (42.0 vs. 41.4; p = .01) compared to urban (N = 65,846) counterparts. Mortality within ICU did not vary across facility rurality. In unadjusted analyses, facility rurality (rural vs. urban) was associated with reduced inter-hospital transfers (OR = 0.74; 95% CI = [0.69, 0.80]; p < .001) and a shorter ICU length of stay (RR = 0.82; 95% CI = [0.74, 0.91]; p < .001). This did not hold when the hierarchical data was accounted for.

CONCLUSIONS

Despite challenges, low complexity ICUs in rural VA facilities fare similarly to urban counterparts. Being part of a national healthcare system may have benefits to explore in sustaining critical care access in rural areas outside the VA healthcare system.

Hospital Volume of Immunosuppressed Patients with Sepsis and Sepsis Mortality

RATIONALE

Immunosuppressive medical conditions are risk factors for mortality from severe infections. It is unknown whether hospital characteristics affect this risk.

OBJECTIVES

To determine whether the odds of death for an immunosuppressed patient with sepsis relative to a nonimmunosuppressed patient with sepsis varies according to the hospital's yearly case volume of immunosuppressed patients with sepsis.

METHODS

Patients with sepsis at hospitals in the Vizient database were characterized as immunosuppressed or not immunosuppressed on the basis of diagnosis codes and medication use. Hospitals were grouped into quartiles based on their average volumes of immunosuppressed patients with sepsis per year. Multilevel logistic regression with clustering of patients by hospital was used to determine whether the odds of in-hospital death from sepsis owing to a suppressed immune state varied by hospital quartile.

RESULTS

There were 350,183 patients with sepsis at 60 hospitals in the Vizient database from 2010 to 2012. Immunosuppressed patients with sepsis at the 15 hospitals in the lowest quartile (64 to 224 immunosuppressed patients with sepsis per year) had an increased odds of in-hospital death relative to nonimmunosuppressed patients with sepsis at these hospitals (adjusted odds ratio, 1.38; 95% confidence interval, 1.27-1.50; P < 0.001). The odds of in-hospital death for immunosuppressed patients with sepsis relative to nonimmunosuppressed patients with sepsis was similar for patients at hospitals in the second, third, and fourth quartiles (225 to 1,056 immunosuppressed patients with sepsis per year). The adjusted odds of death from sepsis owing to a suppressed immune state of 1.21 (95% confidence interval, 1.18-1.25; P < 0.001) for patients at these 45 hospitals was significantly less than for patients at the 15 hospitals in the lowest quartile (P = 0.004 for difference).

CONCLUSIONS

The risk of death from sepsis owing to a suppressed immune state was greatest at hospitals with the lowest volume of immunosuppressed patients with sepsis. Further study is needed to determine whether this finding is related to differences in patient characteristics or in care delivery at hospitals with different amounts of exposure to immunosuppressed patients.

Racial Differences in Sepsis Mortality at U.S. Academic Medical Center-Affiliated Hospitals

OBJECTIVES

To determine the racial disparities in severe sepsis hospitalizations and outcomes in U.S. academic medical center-affiliated hospitals.

DESIGN

Retrospective analysis of sepsis hospitalizations.

SETTINGS

U.S. academic medical center-affiliated hospitals participating in Vizient Consortium from 2012 to 2014.

PATIENTS

Sepsis hospitalizations using International Classification of Diseases, Ninth revision, discharge diagnoses codes defined by the Angus method.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We compared rates of sepsis hospitalization, ICU admission, organ dysfunction, and hospital mortality between blacks and whites. We repeated the analyses stratified by community-acquired, healthcare-associated, and hospital-acquired sepsis subtypes. Of 10,244,780 hospitalizations in our cohort, 1,114,386 (10.9%) had sepsis. Sepsis subtypes included community-acquired sepsis (61.8%), healthcare-associated sepsis (23.8%), and hospital-acquired sepsis (14.4%). Although the proportion of discharges with sepsis was lower for blacks than whites (106.72 vs 109.43 per 1,000 hospitalizations; p < 0.001), the proportion of black sepsis hospitalizations was higher for individuals greater than 30 years old. Blacks exhibited lower adjusted sepsis hospital mortality than whites (odds ratio, 0.85; 95% CI, 0.84-0.86). The adjusted odds of hospital mortality following community-acquired, healthcare-associated, and hospital-acquired sepsis were lower for blacks than whites.

CONCLUSIONS

In this current series of hospital discharges at U.S. academic medical center-affiliated hospitals, blacks exhibited lower adjusted rates of sepsis hospitalizations and mortality than whites.

Does a Mobile ECLS Program Reduce Mortality for Patients Transported for ECLS Therapy for Severe Acute Respiratory Failure?

OBJECTIVE

To understand if mobile extracorporeal membrane oxygenation reduces patient mortality during and after transport of patients requiring extracorporeal membrane oxygenation for acute respiratory distress syndrome.

DESIGN

Retrospective chart review.

SETTING

University affiliated tertiary care hospitals.

PARTICIPANTS

Seventy-seven patients.

INTERVENTIONS

Introduction of a mobile extracorporeal membrane oxygenation (ECMO) program designed to facilitate the implementation of ECMO at outside hospitals in patients too unstable for transport for ECMO.

MEASUREMENTS AND MAIN RESULTS

The 28-day in-hospital mortality was significantly lower in the post-mobile group (12/51 [23.5%] v 12/24 [50%], adjusted risk difference: 28.6%, [95% CI 4.7-52.5, p = 0.011]).

CONCLUSIONS

These findings suggest that patients with severe acute respiratory failure who require transport to a referral center for extracorporeal life support may benefit from the availability of a mobile extracorporeal life support team.

Association Between Hospital Case Volume of Sepsis, Adherence to Evidence-Based Processes of Care and Patient Outcomes

OBJECTIVES

We sought to explore potential mechanisms underlying hospital sepsis case volume-mortality associations by investigating implementation of evidence-based processes of care.

DESIGN

Retrospective cohort study. We determined associations of sepsis case volume with three evidence-based processes of care (lactate measurement during first hospital day, norepinephrine as first vasopressor, and avoidance of starch-based colloids) and assessed their role in mediation of case volume-mortality associations.

SETTING

Enhanced administrative data (Premier, Charlotte, NC) from 534 U.S. hospitals.

SUBJECTS

A total of 287,914 adult patients with sepsis present at admission between July 2010 and December 2012 of whom 58,045 received a vasopressor for septic shock during the first 2 days of hospitalization.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Among patients with sepsis, 1.9% received starch, and among patients with septic shock, 68.3% had lactate measured and 64% received norepinephrine as initial vasopressor. Patients at hospitals with the highest case volume were more likely to have lactate measured (adjusted odds ratio quartile 4 vs quartile 1, 2.8; 95% CI, 2.1-3.7) and receive norepinephrine as initial vasopressor (adjusted odds ratio quartile 4 vs quartile 1, 2.1; 95% CI, 1.6-2.7). Case volume was not associated with avoidance of starch products (adjusted odds ratio quartile 4 vs quartile 1, 0.73; 95% CI, 0.45-1.2). Adherence to evidence-based care was associated with lower hospital mortality (adjusted odds ratio, 0.81; 95% CI, 0.70-0.94) but did not strongly mediate case volume-mortality associations (point estimate change ≤ 2%).

CONCLUSIONS

In a large cohort of U.S. patients with sepsis, select evidence-based processes of care were more likely implemented at high-volume hospitals but did not strongly mediate case volume-mortality associations. Considering processes and case volume when regionalizing sepsis care may maximize patient outcomes.

Update in Critical Care 2015

This review documents important progress made in 2015 in the field of critical care. Significant advances in 2015 included further evidence for early implementation of low tidal volume ventilation as well as new insights into the role of open lung biopsy, diaphragmatic dysfunction, and a potential mechanism for ventilator-induced fibroproliferation. New therapies, including a novel low-flow extracorporeal CO2 removal technique and mesenchymal stem cell-derived microparticles, have also been studied. Several studies examining the role of improved diagnosis and prevention of ventilator-associated pneumonia also showed relevant results. This review examines articles published in the American Journal of Respiratory and Critical Care Medicine and other major journals that have made significant advances in the field of critical care in 2015.

Epidemiology and Changes in Mortality of Sepsis After the Implementation of Surviving Sepsis Campaign Guidelines

PURPOSE

To determine the epidemiology and outcome of severe sepsis and septic shock after 9 years of the implementation of the Surviving Sepsis Campaign (SSC) and to build a mortality prediction model.

METHODS

This is a prospective, multicenter, observational study performed during a 5-month period in 2011 in a network of 11 intensive care units (ICUs). We compared our findings with those obtained in the same ICUs in a study conducted in 2002.

RESULTS

The current cohort included 262 episodes of severe sepsis and/or septic shock, and the 2002 cohort included 324. The prevalence was 14% (95% confidence interval: 12.5-15.7) with no differences to 2002. The population-based incidence was 31 cases/100 000 inhabitants/year. Patients in 2011 had a significantly lower Acute Physiology and Chronic Health Evaluation II (APACHE II; 21.9 ± 6.6 vs 25.5 ± 7.07), Logistic Organ Dysfunction Score (5.6 ± 3.2 vs 6.3 ± 3.6), and Sequential Organ Failure Assessment (SOFA) scores on day 1 (8 ± 3.5 vs 9.6 ± 3.7; P < .01). The main source of infection was intraabdominal (32.5%) although microbiologic isolation was possible in 56.7% of cases. The 2011 cohort had a marked reduction in 48-hour (7% vs 14.8%), ICU (27.2% vs 48.2%), and in-hospital (36.7% vs 54.3%) mortalities. Most relevant factors associated with death were APACHE II score, age, previous immunosuppression and liver insufficiency, alcoholism, nosocomial infection, and Delta SOFA score.

CONCLUSION

Although the incidence of sepsis/septic shock remained unchanged during a 10-year period, the implementation of the SSC guidelines resulted in a marked decrease in the overall mortality. The lower severity of patients on ICU admission and the reduced early mortality suggest an improvement in early diagnosis, better initial management, and earlier antibiotic treatment.

Time to Treatment and Mortality during Mandated Emergency Care for Sepsis

BACKGROUND

In 2013, New York began requiring hospitals to follow protocols for the early identification and treatment of sepsis. However, there is controversy about whether more rapid treatment of sepsis improves outcomes in patients.

METHODS

We studied data from patients with sepsis and septic shock that were reported to the New York State Department of Health from April 1, 2014, to June 30, 2016. Patients had a sepsis protocol initiated within 6 hours after arrival in the emergency department and had all items in a 3-hour bundle of care for patients with sepsis (i.e., blood cultures, broad-spectrum antibiotic agents, and lactate measurement) completed within 12 hours. Multilevel models were used to assess the associations between the time until completion of the 3-hour bundle and risk-adjusted mortality. We also examined the times to the administration of antibiotics and to the completion of an initial bolus of intravenous fluid.

RESULTS

Among 49,331 patients at 149 hospitals, 40,696 (82.5%) had the 3-hour bundle completed within 3 hours. The median time to completion of the 3-hour bundle was 1.30 hours (interquartile range, 0.65 to 2.35), the median time to the administration of antibiotics was 0.95 hours (interquartile range, 0.35 to 1.95), and the median time to completion of the fluid bolus was 2.56 hours (interquartile range, 1.33 to 4.20). Among patients who had the 3-hour bundle completed within 12 hours, a longer time to the completion of the bundle was associated with higher risk-adjusted in-hospital mortality (odds ratio, 1.04 per hour; 95% confidence interval [CI], 1.02 to 1.05; P<0.001), as was a longer time to the administration of antibiotics (odds ratio, 1.04 per hour; 95% CI, 1.03 to 1.06; P<0.001) but not a longer time to the completion of a bolus of intravenous fluids (odds ratio, 1.01 per hour; 95% CI, 0.99 to 1.02; P=0.21).

CONCLUSIONS

More rapid completion of a 3-hour bundle of sepsis care and rapid administration of antibiotics, but not rapid completion of an initial bolus of intravenous fluids, were associated with lower risk-adjusted in-hospital mortality. (Funded by the National Institutes of Health and others.).

Case Volume-Outcomes Associations Among Patients With Severe Sepsis Who Underwent Interhospital Transfer

OBJECTIVES

Case volume-outcome associations bolster arguments to regionalize severe sepsis care, an approach that may necessitate interhospital patient transfers. Although transferred patients may most closely reflect care processes involved with regionalization, associations between sepsis case volume and outcomes among transferred patients are unclear. We investigated case volume-outcome associations among patients with severe sepsis transferred from another hospital.

DESIGN

Serial cross-sectional study using the Nationwide Inpatient Sample.

SETTING

United States nonfederal hospitals, years 2003-2011.

PATIENTS

One hundred forty-one thousand seven hundred seven patients (weighted national estimate of 717,732) with severe sepsis transferred from another acute care hospital.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We examined associations between quintiles of annual hospital severe sepsis case volume for the receiving hospital and in-hospital mortality among transferred patients with severe sepsis. Secondary outcomes included hospital length of stay and total charges. Transferred patients accounted for 13.2% of hospitalized severe sepsis cases. In-hospital mortality was 33.2%, with median length of stay 11 days (interquartile range, 5-22), and median total charge $70,722 (interquartile range, $30,591-$159,013). Patients transferred to highest volume hospitals had higher predicted mortality risk, greater number of acutely dysfunctional organs, and lower adjusted in-hospital mortality when compared with the lowest-volume hospitals (odds ratio, 0.80; 95% CI, 0.67-0.90). In stratified analysis (p < 0.001 for interaction of case volume by organ failure), mortality benefit associated with case volume was limited to patients with single organ dysfunction (n = 48,607, 34.3% of transfers) (odds ratio, 0.66; 95% CI, 0.55-0.80). Treatment at highest volume hospitals was significantly associated with shorter adjusted length of stay (incidence rate ratio, 0.86; 95% CI, 0.75-0.98) but not costs (% charge difference, 95% CI: [-]18.8, [-]37.9 to [+]0.3).

CONCLUSIONS

Hospital mortality was lowest among patients with severe sepsis who were transferred to high-volume hospitals; however, case volume benefits for transferred patients may be limited to patients with lower illness severity.

The characteristics and impact of source of infection on sepsis-related ICU outcomes

BACKGROUND

Source of infection is an independent predictor of sepsis-related mortality. To date, studies have failed to evaluate differences in septic patients based on the source of infection.

METHODS

Retrospective study of all patients with sepsis admitted to the ICU of a university hospital within a 12month time period.

RESULTS

Sepsis due to intravascular device and multiple sources had the highest number of positive blood cultures and microbiology whereas lung and abdominal sepsis had the least. The observed hospital mortality was highest for sepsis due to multiple sources and unknown cause, and was lowest when due to abdominal, genitourinary (GU) or skin/soft tissue. Patients with sepsis due to lungs, unknown and multiple sources had the highest rates of multi-organ failure, whereas those with sepsis due to GU and skin/soft tissue had the lowest rates. Those with multisource sepsis had a significantly higher median ICU length of stay and hospital cost.

CONCLUSION

There are significant differences in patient characteristics, microbiology positivity, organs affected, mortality, length of stay and cost based on the source of sepsis. These differences should be considered in future studies to be able to deliver personalized care.

Delays From First Medical Contact to Antibiotic Administration for Sepsis

OBJECTIVE

To evaluate the association between total medical contact, prehospital, and emergency department delays in antibiotic administration and in-hospital mortality among patient encounters with community-acquired sepsis.

DESIGN

Retrospective cohort study.

SETTING

Nine hospitals served by 21 emergency medical services agencies in southwestern Pennsylvania from 2010 through 2012.

PATIENTS

All emergency medical services encounters with community acquired sepsis transported to the hospital.

MEASUREMENTS AND MAIN RESULTS

Among 58,934 prehospital encounters, 2,683 had community-acquired sepsis, with an in-hospital mortality of 11%. Median time from first medical contact to antibiotic administration (total medical contact delay) was 4.2 hours (interquartile range, 2.7-8.0 hr), divided into a median prehospital delay of 0.52 hours (interquartile range, 0.40-0.66 hr) and a median emergency department delay of 3.6 hours (interquartile range, 2.1-7.5 hr). In a multivariable analysis controlling for other risk factors, total medical contact delay was associated with increased in-hospital mortality (adjusted odds ratio for death, 1.03 [95% CI, 1.00-1.05] per 1-hr delay; p < 0.01), as was emergency department delay (p = 0.04) but not prehospital delay (p = 0.61).

CONCLUSIONS

Both total medical contact and emergency department delay in antibiotic administration are associated with in-hospital mortality in community-acquired sepsis.

Trends in Colposcopy Volume: Where Do We Go From Here?

OBJECTIVE

To describe the change in colposcopy volume in light of recent guideline shifts, which target higher-risk women while limiting unnecessary procedures in low-risk women.

METHODS

After institutional review board approval, colposcopy clinic visits at a large-volume referral center from January 2010 to December 2015 were reviewed. All women diagnosed with abnormal cervical cytology who were referred and subsequently underwent colposcopic evaluation were included. Mean monthly and annual clinic volumes were calculated. Return visit proportions were compared using chi-square test. Negative binomial regression analysis was used to examine trends.

RESULTS

There were a total of 8722 colposcopy clinic visits between January 2010 and December 2015. Approximately 7395 visits (85%) were new patient visits, and 1327 visits (15%) were return visits. The percentage of return visits declined dramatically during the study period from 22.9% (2011) of total visits to 9.0% in 2015 (P < 0.001). Annual clinic volume ranged from 903 to 1884 with a mean monthly volume of 121.13 visits (SD, 42.1). Annual volume was highest in 2011 (n = 1884) and has since demonstrated a steady decline. In 2015, average monthly volume (75.3 visits) dropped to nearly one third of its peak 218 visits per month in July 2010.

CONCLUSIONS

In a large referral clinic that adheres to guideline-based screening and management recommendations, monthly colposcopy volume has declined dramatically with a reduction by two thirds compared with peak volume in 2010.

Hospital-related cost of sepsis: A systematic review

OBJECTIVES

This article systematically reviews research on the costs of sepsis and, as a secondary aim, evaluates the quality of economic evaluations reported in peer-reviewed journals.

METHODS

We systematically searched the MEDLINE, National Health Service (Abstracts of Reviews of Effects, Economic Evaluation and Health Technology Assessment), Cost-effectiveness Analysis Registry and Web of Knowledge databases for studies published between January 2005 and June 2015. We selected original articles that provided cost and cost-effectiveness analyses, defined sepsis and described their cost calculation method. Only studies that considered index admissions and re-admissions in the first 30 days were published in peer-reviewed journals and used standard treatments were considered. All costs were adjusted to 2014 US dollars. Medians and interquartile ranges (IQRs) for various costs of sepsis were calculated. The quality of economic studies was assessed using the Drummond 10-item checklist.

RESULTS

Overall, 37 studies met our eligibility criteria. The median of the mean hospital-wide cost of sepsis per patient was $32,421 (IQR $20,745-$40,835), and the median of the mean ICU cost of sepsis per patient was $27,461 (IQR $16,007-$31,251). Overall, the quality of economic studies was low.

CONCLUSIONS

Estimates of the hospital-related costs of sepsis varied considerably across the included studies depending on the method used for cost calculation, the type of sepsis and the population that was examined. A standard model for conducting cost improve the quality of studies on the costs of sepsis.

Validation of a Method to Identify Immunocompromised Patients with Severe Sepsis in Administrative Databases

RATIONALE

Immunocompromised patients are at high risk for developing severe sepsis. Currently, there are no validated strategies for identifying this group of patients in large administrative databases.

OBJECTIVES

We set out to define and validate a method that could be used to identify immunocompromised patients with severe sepsis in administrative databases.

METHODS

Patients were categorized as immunocompromised based on the presence of International Classification of Diseases, 9th revision discharge diagnosis codes and medication data. We validated this strategy by comparing the discriminatory ability of the search algorithm to that of manual chart review.

MEASUREMENTS AND MAIN RESULTS

We identified 4,438 patients at a single academic center with severe sepsis using a definition applied to administrative data described by Angus and colleagues. There were 1,185 (26.7%) who were categorized as immunocompromised based on our novel administrative data search strategy. Compared with identification by medical record review, the new administrative data search strategy had positive and negative predictive values of 94.4% (95% confidence interval [CI], 88.8-97.7%) and 94.3% (95% CI, 91.0-96.6%). The sensitivity and specificity were 87.4% (95% CI, 80.6-92.5%) and 97.6% (95% CI, 95.0-99.9%).

CONCLUSIONS

Patients who are immunosuppressed are a large subgroup of those with severe sepsis. Following its validation as a search strategy using other large databases, and its adaptation for International Classification of Diseases, 10th revision, this novel method may allow researchers to account for a patient's immune state when examining outcomes.

Hospital Noninvasive Ventilation Case Volume and Outcomes of Acute Exacerbations of Chronic Obstructive Pulmonary Disease

RATIONALE

Higher hospital case volume may produce local expertise ("practice makes perfect"), resulting in better patient outcomes. Associations between hospital noninvasive ventilation (NIV) case volume and outcomes for patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) are unclear.

OBJECTIVES

To determine associations between total hospital NIV case volume for all indications and NIV failure and hospital mortality among patients with acute exacerbations of COPD.

METHODS

Using the 2011 California State Inpatient Database and multivariable hierarchical logistic regression, we calculated hospital-level risk-adjusted rates for NIV failure (progression from NIV to invasive mechanical ventilation) and hospital mortality among patients with acute exacerbations of COPD.

MEASUREMENTS AND MAIN RESULTS

We identified 37,516 hospitalizations for acute exacerbations of COPD in 252 California hospitals in 2011. Total hospital NIV use for all indications ranged from 2 to 565 cases (median, 64; interquartile range, 96). Hospital NIV failure rates for acute exacerbations of COPD ranged from 3.7 to 31.3% (median, 8.5%; interquartile range, 4.2). At the hospital level, higher total hospital NIV case volume was weakly associated with higher hospital NIV failure rates for acute exacerbations of COPD (r = 0.13; P = 0.03). Higher hospital NIV failure rates were weakly associated with higher hospital mortality rates for acute exacerbations of COPD (r = 0.15; P = 0.02), but higher total hospital NIV case volume was not associated with hospital mortality for exacerbations of COPD (r = -0.11; P = 0.08). At the patient level, patients admitted to high-NIV versus low-NIV case-volume hospitals had greater odds of NIV failure (quartile 4 vs. quartile 1 adjusted odds ratio [aOR], 1.95; 95% confidence interval [CI], 1.12-3.40). Compared with initial treatment with invasive mechanical ventilation, NIV failure was associated with higher odds of death (aOR, 1.81; 95% CI, 1.35-2.44). However, admission to high-NIV versus low-NIV case-volume hospitals was not significantly associated with patient in-hospital mortality (quartile 4 vs. quartile 1 aOR, 0.76; 95% CI, 0.57-1.02).

CONCLUSIONS

Despite strong evidence for use of NIV in the management of acute exacerbations of COPD, we observed no significant mortality benefit and higher rates of NIV failure in high-NIV case-volume hospitals. Further investigation of patient selection and hospital factors associated with NIV failure is needed to maximize favorable patient outcomes associated with use of NIV for acute exacerbations of COPD.

External validation of a prehospital risk score for critical illness

Background

Identification of critically ill patients during prehospital care could facilitate early treatment and aid in the regionalization of critical care. Tools to consistently identify those in the field with or at higher risk of developing critical illness do not exist. We sought to validate a prehospital critical illness risk score that uses objective clinical variables in a contemporary cohort of geographically and temporally distinct prehospital encounters.

Methods

We linked prehospital encounters at 21 emergency medical services (EMS) agencies to inpatient electronic health records at nine hospitals in southwestern Pennsylvania from 2010 to 2012. The primary outcome was critical illness during hospitalization, defined as an intensive care unit stay with delivery of organ support (mechanical ventilation or vasopressor use). We calculated the prehospital risk score using demographics and first vital signs from eligible EMS encounters, and we tested the association between score variables and critical illness using multivariable logistic regression. Discrimination was assessed using the AUROC curve, and calibration was determined by plotting observed versus expected events across score values. Operating characteristics were calculated at score thresholds.

Results

Among 42,550 nontrauma, non-cardiac arrest adult EMS patients, 1926 (4.5 %) developed critical illness during hospitalization. We observed moderate discrimination of the prehospital critical illness risk score (AUROC 0.73, 95 % CI 0.72–0.74) and adequate calibration based on observed versus expected plots. At a score threshold of 2, sensitivity was 0.63 (95 % CI 0.61–0.75), specificity was 0.73 (95 % CI 0.72–0.73), negative predictive value was 0.98 (95 % CI 0.98–0.98), and positive predictive value was 0.10 (95 % CI 0.09–0.10). The risk score performance was greater with alternative definitions of critical illness, including in-hospital mortality (AUROC 0.77, 95 % CI 0.7 –0.78).

Conclusions

In an external validation cohort, a prehospital risk score using objective clinical data had moderate discrimination for critical illness during hospitalization.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-016-1408-0) contains supplementary material, which is available to authorized users.

Where You Live Matters: The Impact of Place of Residence on Severe Sepsis Incidence and Mortality

BACKGROUND

Medically underserved areas are composed of vulnerable populations with reduced access to ambulatory care services. Our goal was to determine the association between residence in a medically underserved area and severe sepsis incidence and mortality.

METHODS

Using administrative data, we identified adults admitted with severe sepsis to nonfederal hospitals in South Carolina. We determined whether each resident lived in a medically underserved area or nonmedically underserved area from US Census and Department of Health and Human Services data. Age-adjusted severe sepsis incidence and mortality rates were calculated and compared between both residential classifications. Multivariate logistic regression measured the association between residence in a medically underserved area and mortality while adjusting for confounders.

RESULTS

In 2010, 24,395 adults were admitted with severe sepsis and 1,446,987 (43%) adults lived in a medically underserved area. Residents of medically underserved areas were admitted more frequently with severe sepsis (8.6 vs 6.8 cases/1,000 people, P < .01) and were more likely to die (15.5 vs 11.9 deaths/10,000 people, P < .01), with increased odds of severe sepsis-related death (OR, 1.12) after adjustment for age, race, and severity of illness. ZIP code-based surrogates of socioeconomic status, including median income, proportion below poverty level, and educational attainment, however, had minimal association with sepsis mortality.

CONCLUSIONS

Residence in a medically underserved area is associated with higher incidence and mortality rates of severe sepsis and represents a novel method of access-to-care adjustment. Traditional access-to-care surrogates, however, are poorly associated with sepsis mortality.

Relationship between Annualized Case Volume and Mortality in Sepsis

Background

The relationship between annualized case volume and mortality in patients with sepsis is not fully understood. The authors performed a dose–response meta-analysis to assess the effect of annualized case volume on mortality among patients with sepsis in the intensive care unit, emergency department, or hospital, hypothesizing that higher annualized case volume may lead to lower mortality.

Methods

The authors searched PubMed and Embase through July 2015 to identify observational studies that examined the relationship between annualized case volume and mortality in sepsis. The predefined outcome was mortality. Odds ratios with 95% CIs were pooled using a random-effects model.

Results

Ten studies involving 3,495,921 participants and 834,009 deaths were included. The pooled estimate suggested that annualized case volume was inversely associated with mortality (odds ratio, 0.76; 95% CI, 0.65 to 0.89; P = 0.001), with high heterogeneity (I2 = 96.6%). The relationship was consistent in most subgroup analyses and robust in sensitivity analysis. Dose–response analysis identified a nonlinear relationship between annualized case volume and mortality (P for nonlinearity less than 0.001).

Conclusions

This meta-analysis confirmed the study hypothesis and provided strong evidence for an inverse and a nonlinear dose–response relationship between annualized case volume and mortality in patients with sepsis. Variations in cutoff values of category for annualized case volume across studies may mainly result in the overall heterogeneity. Future studies should uncover the mechanism of volume–mortality relationship and standardize the cutoff values of category for annualized case volume in patients with sepsis.