Obesity Is Associated with Improved Early Survival but Increased Late Mortality in Surgical Patients with Sepsis: A Propensity Matched Analysis.

INTRODUCTION: While obesity is a risk factor for post-operative complications, its impact following sepsis is unclear. The primary objective of this study was to evaluate the association between obesity and mortality following admission to the surgical ICU (SICU) with sepsis. METHODS: We conducted a single center retrospective review of SICU patients grouped into obese (n = 766, BMI ≥30 kg/m2) and non-obese (n = 574, BMI 18-29.9 kg/m2) cohorts. Applying 1:1 propensity matching for age, sex, comorbidities, SOFA, and transfer status, demographic data, comorbidities, and sepsis presentation were compared between groups. Primary outcomes included in-hospital and 90-day mortality, ICU length of stay (LOS), need for mechanical ventilation (IMV) and renal replacement therapy (RRT). P < 0.05 was considered significant. RESULTS: Obesity associates with higher median ICU LOS (8.2 vs 5.6, p < 0.001), need for IMV (76% vs 67%, p = 0.001), ventilator days (5 vs 4, p < 0.004), and RRT (23% vs 12%, p < 0.001). In-hospital (29% vs 18%, p < 0.0001) and 90-day mortality (34% vs 24%, p = 0.0006) was higher for obese compared to non-obese groups. Obesity independently predicted need for IMV (OR 1.6, 95th CI: 1.2-2.1), RRT (OR 2.2, 95th CI: 1.5-3.1), in-hospital (OR 2.1, 95th CI: 1.5-2.8) and 90-day mortality (HR: 1.4, 95TH CI: 1.1-1.8), after adjusting for SOFA, age, sex, and comorbidities. Comparative survival analyses demonstrate a paradoxical early survival benefit for obese patients followed by a rapid decline after 7 days (logrank p = 0.0009). CONCLUSIONS: Obesity is an independent risk factor for 90-day mortality for surgical patients with sepsis, but its impact appeared later in hospitalization. Understanding differences in systemic responses between these cohorts may be important for optimizing critical care management. LEVEL OF EVIDENCE: III.

Area Deprivation Index Predicts Mortality for Critically Ill Surgical Patients With Sepsis.

Background: The impact of socioeconomic status on outcomes after sepsis has been challenging to define, and no polysocial metric has been shown to predict mortality in sepsis. The primary objective of this study was to evaluate the association between the Area Deprivation Index (ADI) and mortality in patients admitted to the surgical intensive care unit (SICU) with sepsis. Patients and Methods: All patients admitted to the SICU with sepsis (Sequential Organ Failure Assessment [SOFA] score ≥2) were retrospectively reviewed. The ADI scores were obtained and classified as "high ADI" (≥85th percentile, n = 400, representative of high socioeconomic deprivation) and "control ADI" (ADI <85th percentile, n = 976). Baseline demographic and clinical characteristics were compared between groups. The primary outcome was 90-day mortality. Results: High ADI patients were younger (mean age 58.5 vs. 60.8; p = 0.01) and more likely to be non-white (23.7% vs. 10.0%; p < 0.0005) and to present with chronic obstructive pulmonary disease (26.5% vs. 19.0%; p = 0.002). High ADI patients had increased in-hospital (27.3% vs. 21.6%; p = 0.025) and 90-day mortality (35.0% vs. 28.9%; p = 0.03). High ADI patients also had increased rates of renal failure (20.3% vs. 15.3%; p = 0.02). Both cohorts had similar intensive care unit (ICU) lengths of stay and median hospital stay, Charlson comorbidity index, and rate of discharge to home. High ADI is an independent risk factor for 90-day mortality after admission for surgical sepsis (odds ratio [OR], 1.39 ± 0.24; p = 0.014). Conclusions: High ADI is an independent predictor of 90-day mortality in patients with surgical sepsis. Targeted community interventions are needed to reduce sepsis mortality for these at-risk patients.

Characterization of Mortality by Sepsis Source in Patients Admitted to the Surgical Intensive Care Unit.

INTRODUCTION: The impact of infectious source on sepsis outcomes for surgical patients is unclear. The objective of this study was to evaluate the association between sepsis sources and cumulative 90-d mortality in patients admitted to the surgical intensive care unit (SICU) with sepsis. METHODS: All patients admitted to the SICU at an academic institution who met sepsis criteria (2014-2019, n = 1296) were retrospectively reviewed. Classification of source was accomplished through a chart review and included respiratory (RT, n = 144), intra-abdominal (IA, n = 859), skin and soft tissue (SST, n = 215), and urologic (UR, n = 78). Demographics, comorbidities, and clinical presentation were compared. Outcomes included 90-d mortality, respiratory and renal failure, length of stay, and discharge disposition. Cox-proportional regression was used to model predictors of mortality; P < 0.05 was significant. RESULTS: Patients with SST were younger, more likely to be diabetic and obese, but had the lowest total comorbidities. Median admission sequential organ failure assessment scores were highest for IA and STT and lowest in urologic infections. Cumulative 90-d mortality was highest for IA and RT (35% and 33%, respectively) and lowest for SST (20%) and UR (8%) (P < 0.005). Compared to the other categories, UR infections had the lowest SICU length of stay and the highest discharge-to-home (57%, P < 0.0005). Urologic infections remained an independent negative predictor of 90-d mortality (odds ratio 0.14, 95% confidence interval: 0.1-0.4), after controlling for sequential organ failure assessment. CONCLUSIONS: Urologic infections remained an independent negative predictor of 90-d mortality when compared to other sources of sepsis. Characterization of sepsis source revealed distinct populations and clinical courses, highlighting the importance of understanding different sepsis phenotypes.

Distressed Communities Index Is Not Associated with Mortality for Critically Ill Surgical Patients with Sepsis.

Background: The impact of socioeconomic metrics on outcomes after sepsis is unclear. The Distressed Communities Index (DCI) is a composite score quantifying socioeconomic well-being by zip code. The primary objective of this study was to evaluate the association between DCI and mortality in patients with sepsis admitted to the surgical intensive care unit (SICU). Patients and Methods: All patients with sepsis admitted to the SICU (Sequential Organ Failure Assessment [SOFA] score ≥2) were reviewed retrospectively. Composite DCI scores were obtained for each patient and classified into high-distress (DCI ≥75th percentile; n = 331) and control distress (DCI <50th percentile; n = 666) groups. Baseline demographic and clinical characteristics were compared between groups. The primary outcomes were in-hospital and 90-day mortality. Results: The high-distress cohort was younger and more likely to be African American (19.6% vs. 6.2%), transferred from an outside facility (52% vs. 42%), have chronic obstructive pulmonary disease (25.1% vs. 18.8%), and baseline liver disease (8.2% vs. 4.2%). Sepsis presentation was comparable between groups. Compared with the control cohort, high-distress patients had similar in-house (23% vs. 24%) and 90-day mortality (30% vs. 28%) but were associated with longer hospital stay (23 vs. 19 days). High DCI failed to predict in-hospital or 90-day mortality but was an independent risk factor for longer hospital length of stay (odds ratio [OR], 2.83 ± 1.42; p = 0.047). Conclusions: High DCI was not associated with mortality but did independently predict longer length of stay. This may reflect limitations of DCI score in evaluating mortality for patients with sepsis. Future studies should elucidate its association with length of stay, re-admissions, and follow-up.

Transfer Status and 90-Day Mortality in Intensive Care Unit Patients With Sepsis: A Propensity Matched Analysis.

BACKGROUND: Timely identification and management of sepsis in surgical patients is crucial, and transfer status may delay optimal treatment of these patients. The objective of this study was to compare in-house and 90-day mortality between patients primarily admitted or transferred into the surgical ICU (SICU) at a tertiary referral center. MATERIAL AND METHODS: All patients admitted to the SICU with a diagnosis of sepsis (Sepsis III) were reviewed at a single institution between 2014 to 2019 (n = 1489). Demographics, comorbidities, and sepsis presentation were compared between transferred (n = 696) and primary patients (n = 793). Primary outcomes evaluated were in-house and 90 day mortality in an unmatched and propensity score matched cohorts. A P value < 0.05 was considered statistically significant. RESULTS: Transfer patients were more likely to have obesity (60% versus 49%, P < 0.005), a higher median SOFA (6 (4-8) versus 5 (3-8), P = 0.007), and require vasopressors on admission (42% versus 35%, P = 0.004). Compared to primary patients, transfer patients exhibited higher rates of respiratory failure (76% versus 69%, P = 0.003), in-house (30% versus 17%, P < 0.005), and 90 day mortality (36% versus 24%, P < 0.005). After matching, transferred patients were associated with 75% and 83% increased odds of in-house and 90 day mortality after controlling for age, sex, race, comorbidities, BMI, and sepsis severity. CONCLUSIONS: Transfer status is associated with an over 80% increase in the odds of 90 day mortality for patients admitted to the SICU with sepsis. Aggressive patient identification and earlier transfer of those at higher risk of death may reduce this effect.

Synthesis of polymer nanoparticles via electrohydrodynamic emulsification-mediated self-assembly.

HYPOTHESIS: Electrospray can rapidly produce fine, organic solvent-in-water emulsions in the absence of surfactant via electrohydrodynamic emulsification (EE), a reverse configuration of traditional electrospray. This paper investigates whether EE can produce high-quality nanocomposites comprised of block co-polymers and organic nanoparticles (NPs) via the interfacial instability (IS) self-assembly method. Surfactant-free approaches may increase encapsulation efficiency and product uniformity, process speed, and ease of downstream product purification. EXPERIMENTS: All particles were produced using EE-mediated self-assembly (SA) (EE-SA). Particles were produced using poly(lactic-co-glycolic acid) (PLGA) polymers as proof of concept. Then, block copolymer (BCP) micelles were synthesized from polystyrene-block-poly(ethylene oxide) (PS-b-PEO) (PS 9.5 kDa:PEO 18.0 kDa) in the presence and absence of superparamagnetic iron oxide nanoparticles (SPIONs) or quantum dots (QDs). Encapsulant concentration was varied, and the effect of encapsulant NP ligands on final particle size was investigated. FINDINGS: EE-SA generated both pure polymer NPs and nanocomposites containing SPIONs and QDs. PLGA particles spanned from sub- to super-micron sizes. PS-b-PEO NPs and nanocomposites were highly monodisperse, and more highly loaded than those made via a conventional, surfactant-rich IS process. Free ligands decreased the size of pure BCP particles. Increasing encapsulant levels led to a morphological transition from spherical to worm-like to densely loaded structures.

Computed Tomography-Measured Psoas Muscle Density as a Predictive Factor for Hypophosphatemia Associated With Refeeding.

BACKGROUND: Initiation of parenteral nutrition (PN) after a period of starvation can be complicated by refeeding syndrome (RFS). RFS is associated with electrolyte abnormalities including hypomagnesemia, hyponatremia, and hypophosphatemia. Risk factors include recent weight loss, low body mass index, and electrolyte deficiencies; however, these associations are not strong. We hypothesized that a validated measure of nutrition risk, computed tomography (CT)-measured psoas muscle density, can be used to predict the development of hypophosphatemia associated with RFS. METHODS: A retrospective analysis of surgical patients initiated on PN with an abdominal CT scan within the past 3 months was conducted. CT-measured psoas muscle density was assessed as a predictive variable for the development of electrolyte abnormalities. Daily electrolyte and clinical outcome measures were recorded. RESULTS: One hundred nine patients were stratified based on Hounsfield unit average calculation (HUAC). The lowest 25th percentile of patients had HUAC <25. Low HUAC was associated with a significant percent decrease in phosphate levels from baseline to PN day 3 (P < .01) and significant difference in serum phosphate value on PN day 3 (P < .01). The low muscle density quartile also experienced longer days on the mechanical ventilator (P = .01) compared with patients with a higher psoas muscle density. CONCLUSION: Psoas muscle density predicted the development of hypophosphatemia in patients initiated on PN. This measurement may aid in identifying patients at highest risk of experiencing RFS. A mean psoas HU <25 may prompt additional precautions, including additional phosphate replacement and slower initiation of PN.

Expanding the primary health care workforce through contracting with nongovernmental entities: the cases of Bahia and Rio de Janeiro.

BACKGROUND: Brazil has experienced difficulties in attracting health professionals (especially doctors and nurses) to practice at the primary health care (PHC) level and in rural and remote areas. This study presents two case studies, each a current initiative in contracting for primary health services in Brazil: one for the state of Bahia and the other for the city of Rio de Janeiro. The two models differ considerably in context, needs, modalities, and outcomes. This article does not attempt to evaluate the initiatives but to identify their strengths and weaknesses. METHODS: Analysis was based on indicators produced by the Brazilian health care information systems, a review of literature and other documentation, and key informant interviews. RESULTS: In the case of Bahia, the state and municipalities decided to create a State Foundation, a new institutional public entity acting under private law that centralizes the hiring of health professionals in order to offer stable positions with career plans and mobility within the state. Results have been mixed as a lower than expected municipal involvement resulted in relatively high administrative costs and consequent default on municipal financial contributions. In the case of Rio de Janeiro, the municipality opted to contract not-for-profit Social Organizations as it made a push to expand access to primary health care in the city. The approach has been successful in expanding coverage, but evidence on cost and performance is weak. CONCLUSIONS: Both cases highlight that improvements in cost and performance data will be critical for meaningful comparative evaluation of delivery arrangements in primary care. Despite the different institutional and implementation arrangements of each model, which make comparison difficult, the analysis provides important lessons for contracting out health professionals for PHC within Brazil and elsewhere.

The equity of admissions to the University Hospital of Brasilia.

BACKGROUND: Brazil has a highly stratified population with large socioeconomic disparities, as evidenced by marked differentiation in health status and access to health services by the population. In addition, the fact that the universal national healthcare system and a liberalised private care model exist side by side leads to increasingly inequitable health outcomes. AIMS: This study aims to appraise the equity of access to the University Hospital in Brasilia, Brazil, in 2013. METHODS: This study was a quantitative analysis of hospital admissions data. The sample included all patients admitted over a six-month period in 2013. Patient data was crossed with socioeconomic data (income and private health insurance status). Frequency tabulations and chi-square calculations were used to describe the patient mix, observe trends and appraise equity of admissions. RESULTS: Analysis of the data showed that the number of patients from each neighbourhood relative to the neighbourhood population was equitable. However, when assessed on the basis of insurance status (i.e., deducting the population covered by private health insurance), a high level of inequity was detected (chi-square 71.828, df 3, p<0,0001) whereby patients from wealthier neighbourhoods were overrepresented compared to those from poorer neighbourhoods. CONCLUSION: This study has shown that access to the University Hospital in Brasilia is not equitable when individual access to private healthcare is accounted for. The results show that dual access to both public and private healthcare is likely to be common, increasing some of the population's access to healthcare while decreasing access for others, and therefore contributing to inequity of access to healthcare services.

Results from implementation of aid effectiveness principles in the health sector in Mali.

The international community holds high expectations for aid producing demonstrable results in the health sector, at the global and developing country levels. Yet, measuring the effectiveness of aid presents methodological challenges. Existing evaluation frameworks are not sufficiently geared toward learning whether and how practices have changed. We present a framework for measuring the results of implementing aid effectiveness principles at three levels: implementation process, health system strengthening, and outcomes/impact. We developed this framework in the context of monitoring results on the effectiveness of the aid agenda in the health sector in Mali. Despite some changes in behavior that resulted in increased aid effectiveness and improved results at system and outcome levels, overall, the aid effectiveness principles have not been fully implemented. Thus expectations in terms of health outcomes should be realistic.

Can performance-based financing be used to reform health systems in developing countries?

Over the past 15 years, performance-based financing has been implemented in an increasing number of developing countries, particularly in Africa, as a means of improving health worker performance. Scaling up to national implementation in Burundi and Rwanda has encouraged proponents of performance-based financing to view it as more than a financing mechanism, but increasingly as a strategic tool to reform the health sector. We resist such a notion on the grounds that results-based and economically driven interventions do not, on their own, adequately respond to patient and community needs, upon which health system reform should be based. We also think the debate surrounding performance-based financing is biased by insufficient and unsubstantiated evidence that does not adequately take account of context nor disentangle the various elements of the performance-based financing package.