Search

Economic recession has dire consequences on overall health. None have explored the impact of economic crisis (EC) on infective endocarditis (IE) mortality. We conducted a retrospective, nationwide, temporal trend study analyzing mortality trends by age, sex, and adverse outcomes in patients diagnosed with IE in Spain from 1997 to 2014. Data were divided into two subperiods: pre-EC (January 1997-August 2008) and post-EC (September 2008-December 2014). A total of 25 952 patients presented with IE. The incidence increased from 301.4 to 365.1 per 10 000 000 habitants, and the mortality rate rose from 24.3% to 28.4%. Those aged >75 years experienced more adverse outcomes. Complications due to sepsis, shock, acute kidney injury requiring dialysis, and heart failure increased after the EC onset, and expenditures soared to €16 216. Expenditure per community was related to mortality ( P

La disfunción del ventrículo izquierdo y la inestabilidad cardiovascular subsiguiente es una de las principales causas de morbimortalidad en los pacientes ingresados en las UCI. La monitorización hemodinámica permite obtener información sobre el estado cardiovascular ayudándonos a obtener un diagnostico adecuado y a guiar la terapia de los pacientes ingresados en dichas unidades. En este estudio los autores pretendían demostrar la existencia de una asociación entre parámetros hemodinámicos y los ecocardiográficos para la evaluación hemodinámica en los pacientes ingresados en UCI.

Background Despite growing interest in treatment strategies that limit oxygen exposure in ICU patients, no studies have compared conservative oxygen with standard oxygen in postsurgical patients with sepsis/septic shock, although there are indications that it may improve outcomes. It has been proven that high partial pressure of oxygen in arterial blood (PaO2) reduces the rate of surgical-wound infections and mortality in patients under major surgery. The aim of this study is to examine whether PaO2 is associated with risk of death in adult patients with sepsis/septic shock after major surgery. Methods We performed a secondary analysis of a prospective observational study in 454 patients who underwent major surgery admitted into a single ICU. Patients were stratified in two groups whether they had hyperoxemia, defined as PaO2 > 100 mmHg (n = 216), or PaO2 ≤ 100 mmHg (n = 238) at the day of sepsis/septic shock onset according to SEPSIS-3 criteria maintained during 48 h. Primary end-point was 90-day mortality after diagnosis of sepsis. Secondary endpoints were ICU length of stay and time to extubation. Results In patients with PaO2 ≤ 100 mmHg, we found prolonged mechanical ventilation (2 [8] vs. 1 [4] days, p p p p p = 0.008). Hyperoxemia was associated with higher probability of 90-day survival in a multivariate analysis (OR 0.61, 95%CI: 0.39–0.95, p = 0.029), independent of age, chronic renal failure, procalcitonin levels, and APACHE II score > 19. These findings were confirmed when patients with severe hypoxemia at the time of study inclusion were excluded. Conclusions Oxygenation with a PaO2 above 100 mmHg was independently associated with lower 90-day mortality, shorter ICU stay and intubation time in critically ill postsurgical sepsis/septic shock patients. Our findings open a new venue for designing clinical trials to evaluate the boundaries of PaO2 in postsurgical patients with severe infections.

Producción Científica, Background: Stratification of the severity of infection is currently based on the Sequential Organ Failure Assessment (SOFA) score, which is difficult to calculate outside the ICU. Biomarkers could help to stratify the severity of infection in surgical patients. Methods: Levels of ten biomarkers indicating endothelial dysfunction, 22 indicating emergency granulopoiesis, and six denoting neutrophil degranulation were compared in three groups of patients in the first 12 h after diagnosis at three Spanish hospitals. Results: There were 100 patients with infection, 95 with sepsis and 57 with septic shock. Seven biomarkers indicating endothelial dysfunction (mid-regional proadrenomedullin (MR-ProADM), syndecan 1, thrombomodulin, angiopoietin 2, endothelial cell-specific molecule 1, vascular cell adhesion molecule 1 and E-selectin) had stronger associations with sepsis than infection alone. MR-ProADM had the highest odds ratio (OR) in multivariable analysis (OR 11·53, 95 per cent c.i. 4·15 to 32·08; P = 0·006) and the best area under the curve (AUC) for detecting sepsis (0·86, 95 per cent c.i. 0·80 to 0·91; P < 0·001). In a comparison of sepsis with septic shock, two biomarkers of neutrophil degranulation, proteinase 3 (OR 8·09, 1·34 to 48·91; P = 0·028) and lipocalin 2 (OR 6·62, 2·47 to 17·77; P = 0·002), had the strongest association with septic shock, but lipocalin 2 exhibited the highest AUC (0·81, 0·73 to 0·90; P < 0·001). Conclusion: MR-ProADM and lipocalin 2 could be alternatives to the SOFA score in the detection of sepsis and septic shock respectively in surgical patients with infection., Instituto de Salud Carlos III (grants PI15/01959, PI15/01451 and PI16/01156)

We carried out a retrospective exploratory study on 173 patients who underwent major surgery and developed septic shock after surgery. Our findings suggest that CEACAM7 rs1001578, rs10409040, and rs889365 polymorphisms could influence septic shock-related death in individuals who underwent major surgery. This work has been supported by grants given by Instituto de Salud Carlos III (grant number PI15/01451 to ET), “Gerencia de Salud, Consejería de Sanidad, Junta de Castilla y Leon” [grant number GRS 463/A/10 and 773/A/13 to ET], and PFIZER [grant number CT25-ESP01-01 to SR]. MAJS and AFR are supported by “Instituto de Salud Carlos III” [grant numbers CP17CIII/00007 and CP14CIII/00010, respectively] Sí

Pneumonia is the leading cause of hospital admission and mortality in coronavirus disease 2019 (COVID-19). We aimed to identify the cytokines responsible for lung damage and mortality. We prospectively recruited 108 COVID-19 patients between March and April 2020 and divided them into four groups according to the severity of respiratory symptoms. Twenty-eight healthy volunteers were used for normalization of the results. Multiple cytokines showed statistically significant differences between mild and critical patients. High HGF levels were associated with the critical group (OR = 3.51, p &lt, 0.001, 95%CI = 1.95–6.33). Moreover, high IL-1α (OR = 1.36, p = 0.01, 95%CI = 1.07–1.73) and low IL-27 (OR = 0.58, 0.005, 95%CI = 0.39–0.85) greatly increased the risk of ending up in the severe group. This model was especially sensitive in order to predict critical status (AUC = 0.794, specificity = 69.74%, sensitivity = 81.25%). Furthermore, high levels of HGF and IL-1α showed significant results in the survival analysis (p = 0.033 and p = 0.011, respectively). HGF, IL-1α, and IL 27 at hospital admission were strongly associated with severe/critical COVID-19 patients and therefore are excellent predictors of bad prognosis. HGF and IL-1α were also mortality biomarkers.

Background: Pneumonia is the leading cause of hospital admission and mortality in coronavirus disease 2019 (COVID-19), attributed to a cytokine storm. The objective of our study is to characterize this profile to identify the cytokines responsible for lung damage and mortality.Methods: Plasma samples of 108 prospectively recruited COVID-19 patients were collected between March and April 2020. Patients were divided into four groups according to the severity of respiratory symptoms: 34 mild (no oxygen support), 26 moderate (low oxygen support using nasal cannula), 16 severe (high oxygen support) and 32 critical (mechanical ventilation). A 45-plex Human XL Cytokine Luminex Performance Panel kit was used in duplicate for each plasma sample. Twenty-eight healthy volunteers were used for normalization of the results.Results: Multiple cytokines showed statistically significant differences when comparing mild and critical patients (HGF, PDGFBB, PIGF-1, IL-1α, MCP-1, VEGFA, IL-15 and IL-2). The best multivariable model included HGF, IL-1α, IL-2 and IL-27. High HGF levels were associated with the critical group (OR = 3.51; p < 0.001; 95%CI = 1.95–6.33). Moreover, high IL-1α (OR = 1.36; p = 0.01; 95%CI = 1.07–1.73) and low IL-27 (OR = 0.58; p < 0.005; 95%CI = 0.39–0.85) greatly increased the risk of ending up in the severe group. This model was especially sensitive in order to predict critical status (AUC = 0.794; specificity = 69.74%; sensitivity = 81.25%). Furthermore, high levels of HGF and IL-1α showed significant results in the survival analysis (p = 0.033 and p = 0.011, respectively).Conclusions: Our study showed that HGF, IL-1α and IL 27 at hospital admission were strongly associated with severe/critical COVID-19 patients and therefore are excellent predictors of bad prognosis. Indeed, HGF and IL-1α were also mortality biomarkers.

Respiratory viruses are part of the normal microbiota of the respiratory tract, which sometimes cause infection with/without respiratory insufficiency and the need for hospital or ICU admission. The aim of this study is to determine the prevalence of respiratory viruses in nontransplanted postoperative septic patients as well as lymphocyte count influence in their presence and its relationship to mortality. 223 nontransplanted postsurgical septic patients were recruited on the Intensive Care Unit (ICU) at Hospital Clínico Universitario de Valladolid prior to the SARS-COV-2 pandemic. Patients were split into 2 groups according to the presence/absence of respiratory viruses. Multivariate logistic regression analysis was used to identify independent factors related to positive respiratory virus PCR test. Respiratory viruses were isolated in 28.7% of patients. 28-day mortality was not significantly different between virus-positive and virus-negative groups. Logistic regression analysis revealed that lymphocyte count ≤ 928/µl is independently associated with a positive PCR result [OR 3.76, 95% CI (1.71-8.26), P = .001] adjusted by platelet count over 128,500/µL [OR 4.27, 95% CI (1.92-9.50) P.001] and the presence of hypertension [OR 2.69, 95% CI (1.13-6.36) P = .025] as confounding variables. Respiratory viruses' detection by using PCR in respiratory samples of nontransplanted postoperative septic patients is frequent. These preliminary results revealed that the presence of lymphopenia on sepsis diagnosis is independently associated to a positive virus result, which is not related to a higher 28-day mortality.

Background Higher expression of olfactomedin-4 (OLFM4), a gene regulated by nuclear factor-kappa B (NF-κB), has been related to a higher risk of organ failure and death in patients with septic shock. We aimed to evaluate the association between OLFM4 single nucleotide polymorphisms (SNPs) and septic shock-related death in 175 patients who underwent major surgery, as well as its performance in predicting mortality. Materials and methods We carried out a retrospective study. A total of seven OLFM4 SNPs were genotyped by Agena Bioscience's MassARRAY platform. Statistical analysis was performed by Kaplan-Meier and Cox regression tests. The diagnostic performance for predicting septic shock-related death was evaluated by the area under the receiver-operating characteristic (AUROC) curve. Results Patients with rs17552047 A allele and rs1891944 TT genotype had higher survival than patients with rs17552047 G allele (P-value = .024) and patients with rs1891944 CC/CT genotype (P-value = .038). However, only rs17552047 was associated with a lower risk of death under an additive inheritance model (adjusted hazard ratio [aHR] = 0.44, 95% CI = 0.27-0.71). The multivariate model with the most significant clinical variables (lactate, chronic kidney disease, peritonitis, heart disease and elective surgery) showed an AUROC of 0.776 for predicting septic shock-related death. When we added the OLFM4 rs17552047 SNP to the previous model, the AUROC was 0.811 and was close to reaching significant differences with the previous model (P-value = .065). Conclusion OLFM4 rs17552047 A allele predicts septic shock survival in patients who underwent major surgery. Furthermore, rs17552047, together with clinical variables, could be useful to predict the outcome of septic shock.

Objectives To obtain a gene expression signature to distinguish between septic shock and non-septic shock in postoperative patients, since patients with both conditions show similar signs and symptoms. Methods Differentially expressed genes were selected by microarray analysis in the discovery cohort. These genes were evaluated by quantitative real time polymerase chain reactions in the validation cohort to determine their reliability and predictive capacity by receiver operating characteristic curve analysis. Results Differentially expressed genes selected were IGHG1, IL1R2, LCN2, LTF, MMP8, and OLFM4. The multivariate regression model for gene expression presented an area under the curve value of 0.922. These genes were able to discern between both shock conditions better than other biomarkers used for diagnosis of these conditions, such as procalcitonin (0.589), C-reactive protein (0.705), or neutrophils (0.605). Conclusions Gene expression patterns provided a robust tool to distinguish septic shock from non-septic shock postsurgical patients and shows the potential to provide an immediate and specific treatment, avoiding the unnecessary use of broad-spectrum antibiotics and the development of antimicrobial resistance, secondary infections and increase health care costs.

Producción Científica, Nowadays, mortality rates in intensive care units are the highest of all hospital units. However, there is not a reliable prognostic system to predict the likelihood of death in patients with postsurgical shock. Thus, the aim of the present work is to obtain a gene expression signature to distinguish the low and high risk of death in postsurgical shock patients. In this sense, mRNA levels were evaluated by microarray on a discovery cohort to select the most differentially expressed genes between surviving and non-surviving groups 30 days after the operation. Selected genes were evaluated by quantitative real-time polymerase chain reaction (qPCR) in a validation cohort to validate the reliability of data. A receiver-operating characteristic analysis with the area under the curve was performed to quantify the sensitivity and specificity for gene expression levels, which were compared with predictions by established risk scales, such as acute physiology and chronic health evaluation (APACHE) and sequential organ failure assessment (SOFA). IL1R2, CD177, RETN, and OLFM4 genes were upregulated in the non-surviving group of the discovery cohort, and their predictive power was confirmed in the validation cohort. This work offers new biomarkers based on transcriptional patterns to classify the postsurgical shock patients according to low and high risk of death. The results present more accuracy than other mortality risk scores., Instituto de Salud Carlos III (grant PI15/01451), Junta de Castilla y León (grant 1255/A/16), Universidad de Valladolid - Fondo Europeo de Desarrollo Regional (grant VA321P18)

Background Numerous studies have evaluated the use of ultraviolet-C devices for terminal disinfection in hospitals, however, to date there is little information about the device's final impact on patients. We investigated the effect of an ultraviolet air sterilizer (UVAS) on the clinical outcomes of cardiac surgery patients. Materials and methods This random, prospective and non-interventional study included 1097 adult patients undergoing elective cardiac surgery: 522 stayed in an ICU room with UVAS (Medixair®) and 575 patients ICU room without UVAS and were used as a control. The primary outcome measure was to evaluate the effect of a UVAS on the overall prevalence of nosocomial infections in postoperative cardiac patients in ICUs. Results No significant differences in ventilator-associated pneumonia (4.6% vs. 5.0%, p = 0.77) and total infection (14.0% vs. 15.5%, p = 0.45) rates were detected in patients with and without the UVAS. The length of stay in the intensive care unit and at the hospital was similar in both groups, UVAS (4.6 (8.2) days and 18.3 (5.5) days) and without UVAS (4.6 (7.3) days and 19.2 (18.6) days). The 30-day in-hospital mortality rate was 5.3%, no significant differences between groups were observed (p = 0.053). Conclusion Novel ultraviolet-C technology has not been shown to significantly reduce nosocomial infections or mortality rates in cardiac surgery patients.

Lymphopenia has been related to increased mortality in septic patients. Nonetheless, the impact of lymphocyte count on candidemia mortality and prognosis has not been addressed. We conducted a retrospective study, including all admitted patients with candidemia from 2007 to 2016. We examined lymphocyte counts during the first 5 days following the diagnosis of candidemia. Multivariable logistic regression analysis was performed to determine the relationship between lymphocyte count and mortality. Classification and Regression Tree analysis was used to identify the best cut-off of lymphocyte count for mortality associated with candidemia. From 296 cases of candidemia, 115 died, (39.8% 30-day mortality). Low lymphocyte count was related to mortality and poor outcome (p &lt, 0.001). Lymphocyte counts &lt, 0.703 &times, 109 cells/L at diagnosis (area under the curve (AUC)-ROC, 0.783 &plusmn, 0.042, 95% confidence interval (CI), 0.700&ndash, 0.867, p &lt, 0.001), and lymphocyte count &lt, 1.272 &times, 109 cells/L five days later (AUC-ROC, 0.791 &plusmn, 0.038, 95%CI, 0.716&ndash, 0.866, p &lt, 0.001) increased the odds of mortality five-fold (odds ratio (OR), 5.01, 95%CI, 2.39&ndash, 10.93) at time of diagnosis, and three-fold (OR, 3.27, 95%CI, 1.24&ndash, 8.62) by day 5, respectively. Low lymphocyte count is an independent predictor of mortality in patients with candidemia and might serve as a biomarker for predicting candidemia-associated mortality and poor outcome.

El síndrome de Distrés respiratorio es una enfermedad pulmonar aguda y difusa que produce hipoxemia, disminución de la compliance pulmonar y aumento del espacio muerto. Existe disparidad de opiniones sobre el manejo de esta patología, por lo que es necesario disponer de guías de práctica clínica donde se organicen las estrategias de tratamiento de acuerdo a la mejor evidencia científica. En esta guía se proponen quince recomendaciones y un algoritmo terapéutico sobre el manejo del síndrome de Distrés respiratorio agudo. ABSTRACT Acute respiratory distress syndrome (ARDS) management. Anything new? Acute respiratory distress syndrome (ARDS) it is an acute and diffuse lung disease. The consequences are hypoxemia, decreased lung compliance and increased intrapulmonary shunt and dead space. There are different opinions about the treatment of this disease. It is necessary to have clinical practice guidelines where treatment strategies are organized according to the best scientific evidence. Fifteen recommendations and a therapeutic algorithm regarding the management of acute respiratory distress syndrome are proposed in these guidelines.

Background: In many immune-related diseases, inflammatory responses and several clinical outcomes are related to increased NF-&kappa, B activity. We aimed to evaluate whether SNPs related to the NF-&kappa, B signaling pathway are associated with higher susceptibility to infection, septic shock, and septic-shock-related death in European patients who underwent major surgery. Methods: We performed a case-control study on 184 patients with septic shock and 212 with systemic inflammatory response syndrome, and a longitudinal substudy on septic shock patients. Thirty-three SNPs within genes belonging to or regulating the NF-&kappa, B signaling pathway were genotyped by Agena Bioscience&rsquo, s MassARRAY platform. Results: No significant results were found for susceptibility to infection and septic shock in the multivariate analysis after adjusting for multiple comparisons. Regarding septic-shock-related death, patients with TNFAIP3 rs6920220 AA, TNIP1 rs73272842 AA, TNIP1 rs3792783 GG, and TNIP1 rs7708392 CC genotypes had the highest risk of septic-shock-related death in the first 28 and 90 days. Also, the MyD88 rs7744 GG genotype was associated with a higher risk of death during the first 90 days. Haplotype analysis shows us that patients with the TNIP1 GAG haplotype (composed of rs73272842, rs3792783, and rs7708392) had a lower risk of death in the first 28 days and the TNIP1 AGC haplotype was associated with a higher risk of death in the first 90 days. Conclusions: The SNPs in the genes TNFAIP3, TNIP1, and MyD88 were linked to the risk of septic-shock-related death in patients who underwent major surgery.

Early recognition of sepsis is a key factor to improve survival to this disease in surgical patients, since it allows prompt control of the infectious source. Combining pro-inflammatory and immunosupression biomarkers could represent a good strategy to improve sepsis detection. Here we evaluated the combination of procalcitonin (PCT) with gene expression levels of HLA-DRA to detect sepsis in a cohort of 154 surgical patients (101 with sepsis and 53 with no infection). HLA-DRA expression was quantified using droplet digital PCR, a next-generation PCR technology. Area under the receiver operating curve analysis (AUROC) showed that the PCT/HLA-DRA ratio outperformed PCT to detect sepsis (AUROC [CI95%], p): PCT: 0.80 [0.73-0.88],0.001; PCT/HLA-DRA: 0.85 [0.78-0.91],0.001. In the multivariate analysis, the ratio showed a superior ability to predict sepsis compared to that of PCT (OR [CI 95%], p): PCT/HLA-DRA: 7.66 [1.82-32.29], 0.006; PCT: 4.21 [1.15-15.43] 0.030. Multivariate analysis was confirmed using a new surgical cohort with 74 sepsis patients and 21 controls: PCT/HLA-DRA: 34.86 [1.22-995.08], 0.038; PCT: 5.52 [0.40-75.78], 0.201. In conclusion, the combination of PCT with HLA-DRA is a promising strategy for improving sepsis detection in surgical patients.

Objective To evaluate if an intraoperative cerebral regional oxygen saturation (crSO2) decrease, less pronounced than 20% below baseline (the current threshold believed to be associated with cognitive dysfunction in adults), is associated with negative postoperative behavioral changes (NPOBC) in the pediatric population after noncardiac surgeries. Study design A prospective observational study was conducted with 198 children aged 2-12 years old scheduled for noncardiac procedures under general anesthesia. Intraoperatively, crSO2 was monitored with a cerebral oximeter. On postoperative day 7, the Post-Hospital Behavior Questionnaire was used to diagnose NPOBC. Results The incidence of NPOBC was 38.8%. Logistic regression analysis revealed that with every 1% reduction of crSO2 from the baseline value, the odds of developing NPOBC were 1.199 higher. Likewise, preoperative anxiety (OR 2.832, P = .006), duration of surgery (OR 1.026, P Conclusions During noncardiac surgeries in the pediatric population, an intraoperative decrease in crSO2 less pronounced than 20% from the baseline value is associated with negative postoperative behavior changes on postoperative day 7. The long-term implications remain to be determined, but this supports attention to crSO2 during noncardiac surgeries.

El objetivo principal de nuestro estudio es demostrar y validar un modelo de predicción de mortalidad en pacientes intervenidos de cirugía cardíaca, elaborado a partir de la inclusión de factores intraoperatorios y de parámetros de inflamación a la escala de riesgo EuroSCORE estándar. Como objetivo secundario describiremos la capacidad de la escala EuroSCORE estándar para predecir complicaciones en el postoperatorio de cirugía cardíaca. Se diseño un estudio prospectivo, observacional de cohortes con 1605 pacientes intervenidos de cirugía cardíaca con CEC. Se elaboró un modelo de predicción de mortalidad que incluía las variables EuroSCORE, tiempo de CEC y concentración de PCT a las 24 horas. El nuevo modelo demostró tener una buena capacidad para predecir mortalidad [ABC = 0,89 (IC 95%: 0,85 - 0,95)] , superando al modelo EuroSCORE [ABC =0,82 (IC 95%: 0,75 - 0,89)]. Los resultados se confirmaron en la cohorte de validación. La escala EuroSCORE estándar también demostró tener una buena capacidad para predecir estancias prolongadas en la Unidad de Reanimación, fallo renal, el empleo de técnicas de reemplazo renal, fallo respiratorio, la parada cardíaca y el shock séptico., Departamento de Cirugía, Oftalmología, Otorrinolaringología y Fisioterapia, Doctorado en Investigación en Ciencias de la Salud