Sepsis in Brazilian emergency departments: a prospective multicenter observational study.

We aimed to assess the prevalence, patient allocation adequacy, and mortality of adults with sepsis in Brazilian emergency departments (ED) in a point-prevalence 3-day investigation of patients with sepsis who presented to the ED and those who remained there due to inadequate allocation. Allocation was considered adequate if the patient was transferred to the intensive care unit (ICU), ward, or remained in the ED without ICU admission requests. Prevalence was estimated using the total ED visit number. Prognostic factors were assessed with logistic regression. Of 33,902 ED visits in 74 institutions, 183 were acute admissions (prevalence: 5.4 sepsis per 1000 visits [95% confidence interval (CI): 4.6-6.2)], and 148 were already in the ED; totaling 331 patients. Hospital mortality was 32% (103/322, 95% CI 23.0-51.0). Age (odds ratio (OR) 1.22 [95% CI 1.10-1.37]), Sequential Organ Failure Assessment (SOFA) score (OR 1.41 [95% CI 1.28-1.57]), healthcare-associated infections (OR 2.59 [95% CI 1.24-5.50]) and low-resource institution admission (OR 2.65 [95% CI 1.07-6.90]) were associated with higher mortality. Accredited institutions (OR 0.42 [95% CI 0.21-0.86]) had lower mortality rates. Allocation within 24 h was adequate in only 52.8% of patients (public hospitals: 42.4% (81/190) vs. private institutions: 67.4% (89/132, p < 0.001) with 39.2% (74/189) of public hospital patients remaining in the ED until discharge, of whom 55.4% (41/74) died. Sepsis exerts high burden and mortality in Brazilian EDs with frequent inadequate allocation. Modifiable factors, such as resources and quality of care, are associated with reduced mortality.

Predictive Accuracy of the Quick Sepsis-related Organ Failure Assessment Score in Brazil. A Prospective Multicenter Study.

Rationale: Although proposed as a clinical prompt to sepsis based on predictive validity for mortality, the Quick Sepsis-related Organ Failure Assessment (qSOFA) score is often used as a screening tool, which requires high sensitivity.Objectives: To assess the predictive accuracy of qSOFA for mortality in Brazil, focusing on sensitivity.Methods: We prospectively collected data from two cohorts of emergency department and ward patients. Cohort 1 included patients with suspected infection but without organ dysfunction or sepsis (22 hospitals: 3 public and 19 private). Cohort 2 included patients with sepsis (54 hospitals: 24 public and 28 private). The primary outcome was in-hospital mortality. The predictive accuracy of qSOFA was examined considering only the worst values before the suspicion of infection or sepsis.Measurements and Main Results: Cohort 1 contained 5,460 patients (mortality rate, 14.0%; 95% confidence interval [CI], 13.1-15.0), among whom 78.3% had a qSOFA score less than or equal to 1 (mortality rate, 8.3%; 95% CI, 7.5-9.1). The sensitivity of a qSOFA score greater than or equal to 2 for predicting mortality was 53.9% and the 95% CI was 50.3 to 57.5. The sensitivity was higher for a qSOFA greater than or equal to 1 (84.9%; 95% CI, 82.1-87.3), a qSOFA score greater than or equal to 1 or lactate greater than 2 mmol/L (91.3%; 95% CI, 89.0-93.2), and systemic inflammatory response syndrome plus organ dysfunction (68.7%; 95% CI, 65.2-71.9). Cohort 2 contained 4,711 patients, among whom 62.3% had a qSOFA score less than or equal to 1 (mortality rate, 17.3%; 95% CI, 15.9-18.7), whereas in public hospitals the mortality rate was 39.3% (95% CI, 35.5-43.3).Conclusions: A qSOFA score greater than or equal to 2 has low sensitivity for predicting death in patients with suspected infection in a developing country. Using a qSOFA score greater than or equal to 2 as a screening tool for sepsis may miss patients who ultimately die. Using a qSOFA score greater than or equal to 1 or adding lactate to a qSOFA score greater than or equal to 1 may improve sensitivity.Clinical trial registered with www.clinicaltrials.gov (NCT03158493).

Quality Improvement Initiatives in Sepsis in an Emerging Country: Does the Institution's Main Source of Income Influence the Results? An Analysis of 21,103 Patients.

OBJECTIVE: We aimed to assess the results of a quality improvement initiative in sepsis in an emerging setting and to analyze it according to the institutions' main source of income (public or private). DESIGN: Retrospective analysis of the Latin American Sepsis Institute database from 2005 to 2014. SETTINGS: Brazilian public and private institutions. PATIENTS: Patients with sepsis admitted in the participant institutions. INTERVENTIONS: The quality improvement initiative was based on a multifaceted intervention. The institutions were instructed to collect data on 6-hour bundle compliance and outcomes in patients with sepsis in all hospital settings. Outcomes and compliance was measured for eight periods of 6 months each, starting at the time of the enrollment in the intervention. The primary outcomes were hospital mortality and compliance with 6-hour bundle. MEASUREMENTS AND MAIN RESULTS: We included 21,103 patients; 9,032 from public institutions and 12,071 from private institutions. Comparing the first period with the eigth period, compliance with the 6-hour bundle increased from 13.5% to 58.2% in the private institutions (p < 0.0001) and from 7.4% to 15.7% in the public institutions (p < 0.0001). Mortality rates significantly decreased throughout the program in private institutions, from 47.6% to 27.2% in the eighth period (adjusted odds ratio, 0.45; 95% CI, 0.32-0.64). However, in the public hospitals, mortality diminished significantly only in the first two periods. CONCLUSION: This quality improvement initiative in sepsis in an emerging country was associated with a reduction in mortality and with improved compliance with quality indicators. However, this reduction was sustained only in private institutions.

Surfing transcriptomic landscapes. A step beyond the annotation of chromosome 16 proteome.

The Spanish team of the Human Proteome Project (SpHPP) marked the annotation of Chr16 and data analysis as one of its priorities. Precise annotation of Chromosome 16 proteins according to C-HPP criteria is presented. Moreover, Human Body Map 2.0 RNA-Seq and Encyclopedia of DNA Elements (ENCODE) data sets were used to obtain further information relative to cell/tissue specific chromosome 16 coding gene expression patterns and to infer the presence of missing proteins. Twenty-four shotgun 2D-LC-MS/MS and gel/LC-MS/MS MIAPE compliant experiments, representing 41% coverage of chromosome 16 proteins, were performed. Furthermore, mapping of large-scale multicenter mass spectrometry data sets from CCD18, MCF7, Jurkat, and Ramos cell lines into RNA-Seq data allowed further insights relative to correlation of chromosome 16 transcripts and proteins. Detection and quantification of chromosome 16 proteins in biological matrices by SRM procedures are also primary goals of the SpHPP. Two strategies were undertaken: one focused on known proteins, taking advantage of MS data already available, and the second, aimed at the detection of the missing proteins, is based on the expression of recombinant proteins to gather MS information and optimize SRM methods that will be used in real biological samples. SRM methods for 49 known proteins and for recombinant forms of 24 missing proteins are reported in this study.