Serum Perilipin 2 (PLIN2) Predicts Multiple Organ Dysfunction in Critically Ill Patients.
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SUBMITTER: Kurt B
PROVIDER: S-EPMC8468514 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background: Multiple organ dysfunction is a complex and lethal clinical feature with heterogeneous causes and is usually characterized by tissue injury of multiple organs. Tenascin-C (TNC) is a matricellular protein that is rarely expressed in most of the adult tissues, but re-induced following injury. This study aimed to evaluate serum TNC in predicting mortality in critically ill patients with multiple organ dysfunction. Methods: Adult critically ill patients with at least two organs dysfunction and an increase of Sequential Organ Failure Assess (SOFA) score ≥ 2 points within 7 days were prospectively enrolled into two independent cohorts. The emergency (derivation) cohort was a consecutive series and the patients were from Emergency Department. The inpatient (validation) cohort was a convenience series and the patients were from medical wards. Their serum samples at the first 24 h after enrollment were collected and subjected to TNC measurement using ELISA. The association between serum TNC level and 28-day all-cause mortality was investigated, and then the predictive value of serum TNC was analyzed. Results: A total of 110 patients with a median age of 64 years (53, 73) were enrolled in the emergency cohort. Compared to the survivors, serum TNC in the non-survivors was significantly higher (467.7 vs. 197.5 ng/ml, p < 0.001). Multivariate logistic regression analysis revealed that the association between serum TNC and 28-day mortality was independent of sepsis or critical illness scores such as SOFA, Acute Physiology and Chronic Health Evaluation (APACHE II), and Simplified Acute Physiology Score (SAPS II), respectively (p < 0.001 for each). The area under receiver operating characteristic curve of serum TNC for predicting mortality was 0.803 (0.717-0.888) (p < 0.001), similar with SOFA 0.808 (0.725-0.891), APACHE II 0.762 (0.667-0.857), and SAPS II 0.779 (0.685-0.872). The optimal cut-off value of serum TNC was 298.2 ng/ml. Kaplan-Meier analysis showed that the survival of patients with serum TNC ≥ 300 ng/ml was significantly worse than that of patients with serum TNC < 300 ng/ml. This result was validated in the inpatient cohort. The sensitivity and specificity of serum TNC ≥ 300 ng/ml for predicting mortality were 74.3 and 74.7% in the emergency cohort, and 63.0 and 70.1% in the inpatient cohort, respectively. Conclusion: Serum TNC was associated with mortality in critically ill patients with multiple organ dysfunction, and would be used as a prognostic tool for predicting mortality in this population.
| S-EPMC8661593 | biostudies-literature
Project description:Syndecan-1 (SDC-1) is found in the endothelial glycocalyx and shed into the blood during systemic inflammatory conditions. We investigated organ dysfunction associated with changing serum SDC-1 levels for early detection of organ dysfunction in critically ill patients. To evaluate the effect of SDC-1 on laboratory parameters measured the day after SDC-1 measurement with consideration for repeated measures, linear mixed effects models were constructed with each parameter as an outcome variable. A total of 94 patients were enrolled, and 831 samples were obtained. Analysis using mixed effects models for repeated measures with adjustment for age and sex showed that serum SDC-1 levels measured the day before significantly affected several outcomes, including aspartate aminotransferase (AST), alanine transaminase (ALT), creatinine (CRE), blood urea nitrogen (BUN), antithrombin III, fibrin degradation products, and D-dimer. Moreover, serum SDC-1 levels of the prior day significantly modified the effect between time and several outcomes, including AST, ALT, CRE, and BUN. Additionally, increasing serum SDC-1 level was a significant risk factor for mortality. Serum SDC-1 may be a useful biomarker for daily monitoring to detect early signs of kidney, liver and coagulation system dysfunction, and may be an important risk factor for mortality in critically ill patients.
| S-EPMC8065146 | biostudies-literature
Project description:IntroductionMultiple organ dysfunction (MOD) is a common pathway to morbidity and death in critically ill children. Defining organ dysfunction is challenging, as we lack a complete understanding of the complex pathobiology. Current pediatric organ dysfunction criteria assign the same diagnostic value-the same "weight"- to each organ system. While each organ dysfunction in isolation contributes to the outcome, there are likely complex interactions between multiple failing organs that are not simply additive.ObjectiveDetermine whether certain combinations of organ system dysfunctions have a significant interaction associated with higher risk of morbidity or mortality in critically ill children.MethodsWe conducted a retrospective observational cohort study of critically ill children at two large academic medical centers from 2010 and 2018. Patients were included in the study if they had at least two organ dysfunctions by day 3 of PICU admission based on the Pediatric Organ Dysfunction Information Update Mandate (PODIUM) criteria. Mortality was described as absolute number of deaths and mortality rate. Combinations of two pediatric organ dysfunctions were analyzed with interaction terms as independent variables and mortality or persistent MOD as the dependent variable in logistic regression models.ResultsOverall, 7,897 patients met inclusion criteria and 446 patients (5.6%) died. The organ dysfunction interactions that were significantly associated with the highest absolute number of deaths were cardiovascular + endocrinologic, cardiovascular + neurologic, and cardiovascular + respiratory. Additionally, the interactions associated with the highest mortality rates were liver + cardiovascular, respiratory + hematologic, and respiratory + renal. Among patients with persistent MOD, the most common organ dysfunctions with significant interaction terms were neurologic + respiratory, hematologic + immunologic, and endocrinologic + respiratory. Further analysis using classification and regression trees (CART) demonstrated that the absence of respiratory and liver dysfunction was associated with the lowest likelihood of mortality.Implications and future directionsCertain combinations of organ dysfunctions are associated with a higher risk of persistent MOD or death. Notably, the three most common organ dysfunction interactions were associated with 75% of the mortality in our cohort. Critically ill children with MOD presenting with these combinations of organ dysfunctions warrant further study.
| S-EPMC9081807 | biostudies-literature
Project description:BackgroundShock and organ damage occur in critically ill patients in the emergency department because of biological responses to invasion, and cytokines play an important role in their development. It is important to predict early multiple organ dysfunction (MOD) because it is useful in predicting patient outcomes and selecting treatment strategies. This study examined the accuracy of biomarkers, including interleukin (IL)-6, in predicting early MOD in critically ill patients compared with that of quick sequential organ failure assessment (qSOFA).MethodsThis was a multicenter observational sub-study. Five universities from 2016 to 2018. Data of adult patients with systemic inflammatory response syndrome who presented to the emergency department or were admitted to the intensive care unit were prospectively evaluated. qSOFA score and each biomarker (IL-6, IL-8, IL-10, tumor necrosis factor-α, C-reactive protein, and procalcitonin [PCT]) level were assessed on Days 0, 1, and 2. The primary outcome was set as MOD on Day 2, and the area under the curve (AUC) was analyzed to evaluate qSOFA scores and biomarker levels.ResultsOf 199 patients, 38 were excluded and 161 were included. Patients with MOD on Day 2 had significantly higher qSOFA, SOFA, and Acute Physiology and Chronic Health Evaluation II scores and a trend toward worse prognosis, including mortality. The AUC for qSOFA score (Day 0) that predicted MOD (Day 2) was 0.728 (95% confidence interval [CI]: 0.651-0.794). IL-6 (Day 1) showed the highest AUC among all biomarkers (0.790 [95% CI: 0.711-852]). The combination of qSOFA (Day 0) and IL-6 (Day 1) showed improved prediction accuracy (0.842 [95% CI: 0.771-0.893]). The combination model using qSOFA (Day 1) and IL-6 (Day 1) also showed a higher AUC (0.868 [95% CI: 0.799-0.915]). The combination model of IL-8 and PCT also showed a significant improvement in AUC.ConclusionsThe addition of IL-6, IL-8 and PCT to qSOFA scores improved the accuracy of early MOD prediction.
| S-EPMC8573766 | biostudies-literature
Project description:OBJECTIVES:Patterns and outcomes of multiple organ dysfunction syndrome are unknown in critically ill children with hyperglycemia. We aimed to determine whether tight glycemic control to a lower vs. higher range influenced timing, duration, or resolution of multiple organ dysfunction syndrome as well as characterize the clinical outcomes of subgroups of multiple organ dysfunction syndrome in children enrolled in the Heart And Lung Failure-Pediatric INsulin Titration trial. DESIGN:Planned secondary analysis of the multicenter Heart And Lung Failure-Pediatric INsulin Titration trial. SETTING:Thirty-five PICUs. PATIENTS:Critically ill children with hyperglycemia who received the Heart And Lung Failure-Pediatric INsulin Titration protocol from 2012 to 2016. INTERVENTIONS:Randomization to a lower versus higher glucose target group. MEASUREMENTS AND MAIN RESULTS:Of 698 patients analyzed, 48 (7%) never developed multiple organ dysfunction syndrome, 549 (79%) had multiple organ dysfunction syndrome without progression, 32 (5%) developed new multiple organ dysfunction syndrome, and 69 (10%) developed progressive multiple organ dysfunction syndrome. Of those whose multiple organ dysfunction syndrome resolved, 192 (34%) experienced recurrent multiple organ dysfunction syndrome. There were no significant differences in the proportion of multiple organ dysfunction syndrome subgroups between Heart And Lung Failure-Pediatric INsulin Titration glucose target groups. However, patients with new or progressive multiple organ dys function syndrome had fewer ICU-free days through day 28 than those without new or progressive multiple organ dysfunction syndrome, and progressive multiple organ dysfunction syndrome patients had fewer ICU-free days than those with new multiple organ dysfunction syndrome: median 25.1 days for never multiple organ dysfunction syndrome, 20.2 days for multiple organ dysfunction syndrome without progression, 18.6 days for new multiple organ dysfunction syndrome, and 0 days for progressive multiple organ dysfunction syndrome (all comparisons p < 0.001). Patients with recurrent multiple organ dysfunction syndrome experienced fewer ICU-free days than those without recurrence (median, 11.2 vs 22.8 d; p < 0.001). CONCLUSIONS:Tight glycemic control target range was not associated with differences in the proportion of new, progressive, or recurrent multiple organ dysfunction syndrome. New or progressive multiple organ dysfunction syndrome was associated with poor clinical outcomes, and progressive multiple organ dysfunction syndrome was associated with worse outcomes than new multiple organ dysfunction syndrome. In future studies, new multiple organ dysfunction syndrome and progressive multiple organ dysfunction syndrome may need to be considered separately, as they represent distinct subgroups with different, potentially modifiable risk factors. Patients with recurrent multiple organ dysfunction syndrome represent a newly characterized, high-risk group which warrants attention in future research.
| S-EPMC6895434 | biostudies-literature
Project description:BackgroundDaily evaluation of multiple organ dysfunction syndrome has been performed in critically ill adults. We evaluated the clinical course of multiple organ dysfunction over time in critically ill children using the Pediatric Logistic Organ Dysfunction (PELOD) score and determined the optimal days for measuring scores.MethodsWe prospectively measured daily PELOD scores and calculated the change in scores over time for 1806 consecutive patients admitted to seven pediatric intensive care units (PICUs) between September 1998 and February 2000. To study the relationship between daily scores and mortality in the PICU, we evaluated changes in daily scores during the first four days; the mean rate of change in scores during the entire PICU stay between survivors and nonsurvivors; and Cox survival analyses using a change in PELOD score as a time-dependent covariate to determine the optimal days for measuring daily scores.ResultsThe overall mortality among the 1806 patients was 6.4%. A high PELOD score (>or=20 points) on day 1 was associated with an odds ratio (OR) for death of 40.7 (95% confidence interval [CI] 20.3-81.4); a medium score (10-19 points) on day 1 was associated with an OR for death of 4.2 (95% CI 2.0-8.7). Mortality was 50% when a high score on day 1 increased on day 2. The course of daily PELOD scores differed between survivors and nonsurvivors. A set of seven days (days 1, 2, 5, 8, 12, 16 and 18) was identified as the optimal period for measurement of daily PELOD scores.InterpretationPELOD scores indicating a worsening condition or no improvement over time were indicators of a poor prognosis in the PICU. A set of seven days for measurement of the PELOD score during the PICU stay provided optimal information on the progression of multiple-organ dysfunction syndrome in critically ill children.
| S-EPMC2917930 | biostudies-literature
Project description:COVID-19-associated respiratory failure offers the unprecedented opportunity to evaluate the differential host response to a uniform pathogenic insult. Understanding whether there are distinct subphenotypes of severe COVID-19 may offer insight into its pathophysiology. Sequential Organ Failure Assessment (SOFA) score is an objective and comprehensive measurement that measures dysfunction severity of six organ systems, i.e., cardiovascular, central nervous system, coagulation, liver, renal, and respiration. Our aim was to identify and characterize distinct subphenotypes of COVID-19 critical illness defined by the post-intubation trajectory of SOFA score. Intubated COVID-19 patients at two hospitals in New York city were leveraged as development and validation cohorts. Patients were grouped into mild, intermediate, and severe strata by their baseline post-intubation SOFA. Hierarchical agglomerative clustering was performed within each stratum to detect subphenotypes based on similarities amongst SOFA score trajectories evaluated by Dynamic Time Warping. Distinct worsening and recovering subphenotypes were identified within each stratum, which had distinct 7-day post-intubation SOFA progression trends. Patients in the worsening suphenotypes had a higher mortality than those in the recovering subphenotypes within each stratum (mild stratum, 29.7% vs. 10.3%, p = 0.033; intermediate stratum, 29.3% vs. 8.0%, p = 0.002; severe stratum, 53.7% vs. 22.2%, p < 0.001). Pathophysiologic biomarkers associated with progression were distinct at each stratum, including findings suggestive of inflammation in low baseline severity of illness versus hemophagocytic lymphohistiocytosis in higher baseline severity of illness. The findings suggest that there are clear worsening and recovering subphenotypes of COVID-19 respiratory failure after intubation, which are more predictive of outcomes than baseline severity of illness. Distinct progression biomarkers at differential baseline severity of illness suggests a heterogeneous pathobiology in the progression of COVID-19 respiratory failure.
| S-EPMC8342520 | biostudies-literature
Project description: Not available
| S-EPMC7812556 | biostudies-literature
Project description:ObjectivesTo describe the prevalence of multiple organ dysfunction syndrome (MODS) and critical care utilization in children and young adults with acute myeloid leukemia (AML) who have not undergone hematopoietic cell transplantation (HCT).DesignRetrospective cohort study of MODS (defined as dysfunction of two or more organ systems) occurring any day within the first 72 hours of PICU admission.SettingLarge, quaternary-care children's hospital.PatientsPatients 1 month through 26 years old who were treated for AML from 2011-2019.InterventionsNone.Measurements and main resultsEighty patients with AML were included. These 80 patients had a total of 409 total non-HCT-related hospital and 71 PICU admissions. The majority 53 of 71 of PICU admissions (75%) were associated with MODS within the first 72 hours. MODS was present in 49 of 71 of PICU admissions (69%) on day 1, 29 of 52 (56%) on day 2, and 25 of 32 (78%) on day 3. The organ systems most often involved were hematologic, respiratory, and cardiovascular. There was an increasing proportion of renal failure (8/71 [11%] on day 1 to 8/32 [25%] on day 3; p = 0.02) and respiratory failure (33/71 [47%] to 24/32 [75%]; p = 0.001) as PICU stay progressed. The presence of MODS on day 1 was associated with a longer PICU length of stay (LOS) (β = 5.4 [95% CI, 0.7-10.2]; p = 0.024) and over a six-fold increased risk of an LOS over 2 days (odds ratio, 6.08 [95% CI, 1.59-23.23]; p = 0.008). Respiratory failure on admission was associated with higher risk of increased LOS.ConclusionsAML patients frequently require intensive care. In this cohort, MODS occurred in over half of PICU admissions and was associated with longer PICU LOS. Respiratory failure was associated with the development of MODS and progressive MODS, as well as prolonged LOS.
| S-EPMC10081947 | biostudies-literature
Project description:BackgroundTwo sets of diagnostic criteria of paediatric multiple organ dysfunction syndrome (MODS) were published by Proulx in 1996 and by Goldstein in 2005. We hypothesized that this changes the epidemiology of MODS. Thus, we determined the epidemiology of MODS, according to these two sets of diagnostic criteria, we studied the intra- and inter-observer reproducibility of each set of diagnostic criteria, and we compared the association between cases of MODS at paediatric intensive care unit (PICU) entry, as diagnosed by each set of diagnostic criteria, and 90-day all-cause mortality.MethodsAll consecutive patients admitted to the tertiary care PICU of Sainte-Justine Hospital, from April 21, 2009 to April 20, 2010, were considered eligible for enrolment into this prospective observational cohort study. The exclusion criteria were gestational age < 40 weeks, age < 3 days or > 18 years at PICU entry, pregnancy, admission immediately after delivery. No patients were censored. Daily monitoring using medical chart ended when the patient died or was discharged from PICU. Mortality was monitored up to death, hospital discharge, or 90 days post PICU entry, whatever happened first. Concordance rate and kappa score were calculated to assess reproducibility. The number of MODS identified with Proulx and Goldstein definitions was compared using 2-by-2 contingency tables. Student's t test or Wilcoxon signed-ranked test was used to compare continuous variables with normal or abnormal distribution, respectively. We performed a Kaplan-Meier survival analysis to assess the association between MODS at PICU entry and 90-day mortality.ResultsThe occurrence of MODS was monitored daily and prospectively in 842 consecutive patients admitted to the PICU of Sainte-Justine Hospital over 1 year. According to Proulx and Goldstein diagnostic criteria, 180 (21.4 %) and 314 patients (37.3 %) had MODS over PICU stay, respectively. Concordance of MODS diagnosis over PICU stay was 81.3 % (95 % CI 78.6-83.9 %), and kappa score was 0.56 (95 % CI 0.50-0.61). Discordance was mainly attributable to cardiovascular or neurological dysfunction criteria. The proportion of patients with MODS at PICU entry who died within 90 days was higher with MODS diagnosed with Proulx criteria (17.8 vs. 11.5 %, p = 0.038), as well as the likelihood ratio of death (4.84 vs. 2.37). On the other hand, 90-day survival rate of patients without MODS at PICU entry was similar (98.6 vs. 98.9 % (p = 0.73).ConclusionsProulx and Goldstein diagnostic criteria of paediatric MODS are not equivalent. The epidemiology of paediatric MODS varies depending on which set of diagnostic criteria is applied.
| S-EPMC4851677 | biostudies-literature