scholarly journals Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19

2020 ◽  
Author(s):  
Chang Su ◽  
Zhenxing Xu ◽  
Katherine Hoffman ◽  
Parag Goyal ◽  
Monika M Safford ◽  
...  
Keyword(s):  
New York ◽  
Respiratory Failure ◽  
Organ Dysfunction ◽  
Sofa Score ◽  
Statistical Tests ◽  
Vital Signs ◽  
Severity Of Illness ◽  
Agglomerative Clustering ◽  
Differential Outcomes ◽  
Post Intubation

Rationale. COVID-19-associated respiratory failure offers the unprecedented opportunity to evaluate the differential host response to a uniform pathogenic insult. Prior studies of Acute Respiratory Distress Syndrome (ARDS) have identified subphenotypes with differential outcomes. Understanding whether there are distinct subphenotypes of severe COVID-19 may offer insight into its pathophysiology. Objectives. To identify and characterize distinct subphenotypes of COVID-19 critical illness defined by the post-intubation trajectory of Sequential Organ Failure Assessment (SOFA) score. Methods. 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. Statistical tests defined trajectory subphenotype predictive markers. Measurements and Main Results. 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). Worsening and recovering subphenotypes were replicated in the validation cohort. Routine laboratory tests, vital signs, and respiratory variables rather than demographics and comorbidities were predictive of the worsening and recovering subphenotypes. Conclusions. 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. Organ dysfunction trajectory may be well suited as a surrogate for research in COVID-19 respiratory failure.

scholarly journals Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chang Su ◽  
Zhenxing Xu ◽  
Katherine Hoffman ◽  
Parag Goyal ◽  
Monika M. Safford ◽  
...  
Keyword(s):  
New York ◽  
Respiratory Failure ◽  
Sofa Score ◽  
Severity Of Illness ◽  
Agglomerative Clustering ◽  
Baseline Severity ◽  
Organ Systems ◽  
Hierarchical Agglomerative Clustering ◽  
Dynamic Time ◽  
Post Intubation

AbstractCOVID-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.

scholarly journals Sepsis Subphenotyping Based on Organ Dysfunction Trajectory

2021 ◽  
Author(s):  
Zhenxing Xu ◽  
Chengsheng Mao ◽  
Chang Su ◽  
Ilias Siempos ◽  
Lisa K Torres ◽  
...  
Keyword(s):  
Organ Dysfunction ◽  
Sofa Score ◽  
Validation Cohort ◽  
Patient Characteristics ◽  
Agglomerative Clustering ◽  
Time Warping ◽  
Hierarchical Agglomerative Clustering ◽  
History Of ◽  
Dynamic Time ◽  
Development And Validation

Abstract (250 words) Purpose: Although organ dysfunction is a defining element of sepsis, its trajectory is not well studied. We sought to identify whether there are distinct Sequential Organ Failure Assessment (SOFA) score trajectory-based subphenotypes in sepsis. Methods: We created 72-hour SOFA score trajectories in patients with sepsis from two diverse intensive care unit (ICU) cohorts. We then used Dynamic Time Warping (DTW) to compute patient similarities to capture evolving heterogeneous sequences and establish similarities between groups with distinct trajectories. Hierarchical agglomerative clustering (HAC) was utilized to identify subphenotypes based on SOFA trajectory similarities. Patient characteristics were compared between subphenotypes and a random forest model was developed to predict subphenotype membership, within 6 hours of ICU arrival. The model was then tested on the validation cohort. Results: A total of 4,678 and 3,665 unique sepsis patients were included in development and validation cohorts. In the development cohort, four subphenotypes of organ dysfunction were identified: Rapidly Worsening (n=612, 13.08%), Delayed Worsening (n=960, 20.52%), Rapidly Improving (n=1,932, 41.3%) and Delayed Improving (n=1174, 25.1%). In-hospital mortality for patients within different subphenotypes demonstrated distinct patterns over time. Similar subphenotypes and their associated outcome patterns were replicated in the multicenter validation cohort. Conclusion: Four novel, clinically-defined, trajectory-based sepsis subphenotypes were identified and validated. Trajectory based subphenotyping is useful for describing the natural history of sepsis in the ICU. Understanding the pathophysiology of these differential trajectories may reveal unanticipated therapeutic targets for patients with sepsis and identify more precise populations and endpoints for the predictive enrichment of clinical trials.

scholarly journals Cytokine Hemoadsorption as Rescue Therapy for Critically Ill Patients With SARS-CoV-2 Pneumonia With Severe Respiratory Failure and Hypercytokinemia

2022 ◽  
Vol 8 ◽  
Author(s):  
Juan Carlos Ruiz-Rodríguez ◽  
Luis Chiscano-Camón ◽  
Adolf Ruiz-Sanmartin ◽  
Clara Palmada ◽  
Erika Paola Plata-Menchaca ◽  
...  
Keyword(s):  
Respiratory Failure ◽  
Inflammatory Response ◽  
Acute Respiratory Failure ◽  
Critically Ill ◽  
Organ Dysfunction ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Rescue Therapy ◽  
Severe Respiratory Failure ◽  
Prone Positioning

Introduction: A dysregulated inflammatory response, known as “cytokine storm”, plays an important role in the pathophysiology of coronavirus 2019 disease (COVID-19). Identifying patients with a dysregulated inflammatory response and at high risk for severe respiratory failure, organ dysfunction, and death is clinically relevant, as they could benefit from the specific therapies, such as cytokine removal by hemoadsorption. This study aimed to evaluate cytokine hemoadsorption as rescue therapy in critically ill patients with SARS-CoV-2 pneumonia, severe respiratory failure refractory to prone positioning, and hypercytokinemia.Methods: In this single center, observational and retrospective study, critically ill patients with SARS-CoV-2 pneumonia, severe acute respiratory failure, and hypercytokinemia were analyzed. All the patients underwent cytokine hemoadsorption using CytoSorb® (Cytosorbents Europe, Berlin, Germany). The indication for treatment was acute respiratory failure, inadequate clinical response to the prone position, and hypercytokinemia.Results: Among a total of 343 patients who were admitted to the intensive care unit (ICU) due to SARS-CoV-2 infection between March 3, 2020 and June 22, 2020, six patients received rescue therapy with cytokine hemoadsorption. All the patients needed invasive mechanical ventilation and prone positioning. A significant difference was found in the pre- and post-treatment D-dimer (17,868 mcg/ml [4,196–45,287] vs. 4,488 mcg/ml [3,166–17,076], p = 0.046), C-reactive protein (12.9 mg/dl [10.6] vs. 3.5 mg/dl [2.8], p = 0.028), ferritin (1,539 mcg/L [764–27,414] vs. 1,197 ng/ml [524–3,857], p = 0.04) and interleukin-6 (17,367 pg/ml [4,539–22,532] vs. 2,403 pg/ml [917–3,724], p = 0.043) levels. No significant differences in the pre- and post-treatment interleukin-10 levels (22.3 pg/ml [19.2–191] vs. 5.6 pg/ml [5.2–36.6], p = 0.068) were observed. Improvements in oxygenation (prehemoadsorption PaO2/FIO2 ratio 103 [18.4] vs. posthemoadsorption PaO2/FIO2 ratio 222 [20.9], p = 0.029) and in the organ dysfunction (prehemoadsorption SOFA score 9 [4.75] vs. posthemoadsorption SOFA score 7.7 [5.4], p = 0.046) were observed. ICU and in-hospital mortality was 33.7%.Conclusions: In this case series, critically ill patients with COVID-19 with severe acute respiratory failure refractory to prone positioning and hypercytokinemia who received adjuvant treatment with cytokine hemoadsorption showed a significant reduction in IL-6 plasma levels and other inflammatory biomarkers. Improvements in oxygenation and SOFA score were also observed.

scholarly journals Cytokine Hemoadsorption As Rescue Therapy for Critically Ill Patients with SARS-CoV-2 Pneumonia with Severe Respiratory Failure and Hypercytokinemia

2021 ◽  
Author(s):  
Juan Carlos Ruiz-Rodríguez ◽  
Luis Chiscano-Camón ◽  
Adolf Ruiz-Sanmartin ◽  
Clara Palmada ◽  
Erika Paola Plata-Menchaca ◽  
...  
Keyword(s):  
Respiratory Failure ◽  
Acute Respiratory Failure ◽  
Critically Ill ◽  
Organ Dysfunction ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Rescue Therapy ◽  
Apache Ii Score ◽  
Severe Respiratory Failure ◽  
Reactive Protein

Abstract Background : A dysregulated inflammatory response, known as “cytokine storm”, plays an important role in the pathophysiology of coronavirus 2019 disease (COVID-19). There is a subgroup of patients who develop a hyperinflammatory response with severe respiratory failure and organ dysfunction with high mortality. Identifying these patients is outstanding as they could benefit from specific therapies, such as cytokine removal by hemoadsorption. Methods: Single-center, observational and prospective study of critically ill patients with SARS-CoV-2 pneumonia, severe acute respiratory failure and hypercytokinemia. All patients received cytokine hemoadsorption using Cytosorb® (Cytosorbents Europe, Berlin, Germany). The indication for treatment was acute respiratory failure, inadequate prone response, and hypercytokinemia. Results : A total of 343 patients were admitted to the ICU due to SARS-Cov-2 infection between March 3, 2020, to June 22, 2020. Of these, six patients [5 (83.3%) men; mean age 57 (10.5) years; SOFA 5 (1.4); mean Acute Physiology And Chronic Health Evaluation (APACHE) II score 19.5 (6)] underwent hemoadsorption with Cytosorb®. All patients fulfilled the Berlin criteria for severe acute respiratory distress syndrome (ARDS), underwent prone positioning, and were on mechanical ventilation for 15.2 (7.2) days. One session of 16 (9.0) hours duration was performed. IL-6 levels were significantly reduced [(pre- hemoadsorption levels 17.367 (4.539– 22.532) pg/ml; post-hemoadsorption levels 2.403 (917 – 3.724) pg/ml, p = 0.043], and improvements in oxygenation were observed [pre-hemoadsorption PaO 2 /FiO 2 ratio was 103 (18.4), post- hemoadsorption PaO2/FiO2 ratio was 222 (20.9), p = 0.029]. We documented the clinical improvement and rapid reversal of organ dysfunction [pre-hemoadsorption Sequential Organ Failure Assessment (SOFA) score 9 (4.7); post- hemoadsorption SOFA score 7.7 (5.4), p = 0.046]. Inflammatory markers (C-reactive protein, D-dimer, and ferritin) also improved significantly. Mean ICU stay was 17.2 (8.0) days. ICU and in-hospital mortality was 33.7%. Conclusions : In our cohort, patients with SARS-CoV-2 pneumonia and severe acute respiratory failure and hypercytokinemia who received cytokine hemoadsorption, an important reduction in IL-6 levels and improvements in oxygenation and SOFA score were observed.

IMPACT probability of poor outcome and plasma cytokine concentrations are associated with multiple organ dysfunction syndrome following traumatic brain injury

2019 ◽  
Vol 131 (6) ◽  
pp. 1931-1937 ◽  
Author(s):  
Sungho Lee ◽  
Hyunsoo Hwang ◽  
Jose-Miguel Yamal ◽  
J. Clay Goodman ◽  
Imoigele P. Aisiku ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Organ Dysfunction ◽  
Multiple Organ Dysfunction Syndrome ◽  
Sofa Score ◽  
Plasma Concentrations ◽  
Multiple Organ ◽  
Multiple Organ Dysfunction ◽  
Poor Outcome ◽  
Initial Plasma

OBJECTIVETraumatic brain injury (TBI) is a major cause of morbidity and mortality. Multiple organ dysfunction syndrome (MODS) occurs frequently after TBI and independently worsens outcome. The present study aimed to identify potential admission characteristics associated with post-TBI MODS.METHODSThe authors performed a secondary analysis of a recent randomized clinical trial studying the effects of erythropoietin and blood transfusion threshold on neurological recovery after TBI. Admission clinical, demographic, laboratory, and imaging parameters were used in a multivariable Cox regression analysis to identify independent risk factors for MODS following TBI, defined as maximum total Sequential Organ Failure Assessment (SOFA) score > 7 within 10 days of TBI.RESULTSTwo hundred patients were initially recruited and 166 were included in the final analysis. Respiratory dysfunction was the most common nonneurological organ system dysfunction, occurring in 62% of the patients. International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) probability of poor outcome at admission was significantly associated with MODS following TBI (odds ratio [OR] 8.88, 95% confidence interval [CI] 1.94–42.68, p < 0.05). However, more commonly used measures of TBI severity, such as the Glasgow Coma Scale, Injury Severity Scale, and Marshall classification, were not associated with post-TBI MODS. In addition, initial plasma concentrations of interleukin (IL)–6, IL-8, and IL-10 were significantly associated with the development of MODS (OR 1.47, 95% CI 1.20–1.80, p < 0.001 for IL-6; OR 1.26, 95% CI 1.01–1.58, p = 0.042 for IL-8; OR 1.77, 95% CI 1.24–2.53, p = 0.002 for IL-10) as well as individual organ dysfunction (SOFA component score ≥ 1). Finally, MODS following TBI was significantly associated with mortality (OR 5.95, 95% CI 2.18–19.14, p = 0.001), and SOFA score was significantly associated with poor outcome at 6 months (Glasgow Outcome Scale score < 4) when analyzed as a continuous variable (OR 1.21, 95% CI 1.06–1.40, p = 0.006).CONCLUSIONSAdmission IMPACT probability of poor outcome and initial plasma concentrations of IL-6, IL-8, and IL-10 were associated with MODS following TBI.

The Effect of Patient and Hospital Characteristics on Total Costs of Peripheral Bypass in New York State

2021 ◽  
pp. 153857442199331
Author(s):  
Nicole Ilonzo ◽  
Cody Goldberger ◽  
Songhon Hwang ◽  
Ajit Rao ◽  
Peter Faries ◽  
...  
Keyword(s):  
New York ◽  
Length Of Stay ◽  
Bypass Surgery ◽  
New York State ◽  
Severity Of Illness ◽  
Factors Associated ◽  
Peripheral Bypass ◽  
Extreme Risk ◽  
Risk Of Mortality ◽  
Fourth Quartile

Introduction: With the aging U.S. population, peripheral vascular procedures will become increasingly common. The objective of this study is to characterize the factors associated with increased total costs after peripheral bypass surgery. Methods: Data for 34,819 patients undergoing peripheral bypass surgery in NY State were extracted using the Statewide Planning and Research Cooperative System (SPARCS) database for years 2009-2017. Patient demographics, All Patient Refined Diagnostic Related Groups (APR) severity score, mortality risk, hospital volume, and length of stay data were collected. Primary outcomes were total costs and length of stay. Data were analyzed using univariate and multivariate analysis. Results: 28.1% of peripheral bypass surgeries were performed in New York City. 7.9% of patients had extreme APR severity of illness whereas 32.0% had major APR severity of illness. 6.3% of patients had extreme risk of mortality and 1 in every 5 patients (20%) had major risk of mortality. 24.9% of patients were discharged to a facility. The mean length of stay (LOS) was 9.9 days. Patient LOS of 6-11 days was associated with +$2,791.76 total costs. Mean LOS of ≥ 12 days was associated with + $27,194.88 total costs. Multivariate analysis revealed risk factors associated with an admission listed in the fourth quartile of total costs (≥$36,694.44) for peripheral bypass surgery included NYC location (2.82, CI 2.62-3.04), emergency surgery (1.12, CI 1.03-1.22), extreme APR 2.08, 1.78-2.43, extreme risk of mortality (2.73, 2.34-3.19), emergency room visit (1.68, 1.57-1.81), discharge to a facility (1.27, CI 1.15-1.41), and LOS in the third or fourth quartile (11.09, 9.87-12.46). Conclusion: The cost of peripheral bypass surgery in New York State is influenced by a variety of factors including LOS, patient comorbidity and disease severity, an ER admission, and discharge to a facility.

scholarly journals 414. Association of SARS-CoV-2 Genomic Load Trends with Clinical Status in COVID-19:A Retrospective Analysis from an Academic Hospital Center in New York City

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S275-S275
Author(s):  
Ioannis Zacharioudakis ◽  
Fainareti Zervou ◽  
Prithiv Prasad ◽  
Yongzhao Shao ◽  
Atreyee Basu ◽  
...  
Keyword(s):  
New York ◽  
Sofa Score ◽  
Research Question ◽  
Clinical Status ◽  
Inverse Correlation ◽  
Duration Of Symptoms ◽  
Cycle Threshold ◽  
Ct Value ◽  
Failure Assessment ◽  
Polymerase Chain

Abstract Background The Infectious Diseases Society of America has identified the potential use of SARS-CoV-2 genomic load for prognostication purposes as a key research question. Methods We designed a retrospective cohort study that included adult patients with COVID-19 pneumonia who had at least 2 positive nasopharyngeal tests at least 24 hours apart to study the correlation between the change in the genomic load of SARS-CoV-2 in nasopharyngeal samples, as reflected by the Cycle threshold (Ct) value of the real-time Polymerase Chain Reaction (PCR) assay, with change in clinical status. The Sequential Organ Failure Assessment (SOFA) score was used as a surrogate for patients’ clinical status. A linear mixed-effects regression analysis was performed. Results Among 457 patients who presented to the emergency department between 3/31/2020- 4/10/2020, we identified 42 patients who met the inclusion criteria. The median initial SOFA score was 2 (IQR 2–3). 20 out of 42 patients had a lower SOFA score on their subsequent tests. We identified a statistically significant inverse correlation between the change in SOFA score and change in the Ct value with a decrease in SOFA score by 0.05 (SE 0.02; p &lt; 0.05) for an increase in Ct values by 1. This correlation was independent of the duration of symptoms. Flow chart A graph of the Cycle Threshold (Ct) values of the of Cepheid Xpert® Xpress SARS-CoV-2 assay measured on repeat screening of the 42 included patients. Graph of the fitted SOFA scores based on the Cycle Threshold values per patient. Conclusion Our findings suggest that an increasing Ct value in sequential tests may be of prognostic value for patients diagnosed with COVID-19 pneumonia. Before repeat testing can be recommended routinely in clinical practice as a predictor of disease outcomes, prospective studies with a standardized interval between repeat tests should confirm our findings. Disclosures All Authors: No reported disclosures

Toxic effects of cell-free hemoglobin on the microvascular endothelium: implications for pulmonary and non-pulmonary organ dysfunction

2021 ◽  
Author(s):  
Jamie E Meegan ◽  
Julie A. Bastarache ◽  
Lorraine B. Ware
Keyword(s):  
Organ Dysfunction ◽  
Tissue Injury ◽  
Inflammatory Diseases ◽  
Severity Of Illness ◽  
Therapeutic Strategies ◽  
Free Hemoglobin ◽  
Microvascular Endothelium ◽  
Endothelial Inflammation ◽  
Signaling Mechanisms ◽  
Novel Therapeutic Strategies

Levels of circulating cell-free hemoglobin are elevated during hemolytic and inflammatory diseases and contribute to organ dysfunction and severity of illness. Though several studies have investigated the contribution of hemoglobin to tissue injury, the precise signaling mechanisms of hemoglobin-mediated endothelial dysfunction in the lung and other organs are not yet completely understood. The purpose of this review is to highlight the knowledge gained thus far and the need for further investigation regarding hemoglobin-mediated endothelial inflammation and injury in order to develop novel therapeutic strategies targeting the damaging effects of cell-free hemoglobin.

scholarly journals New York Transplant Teams Versus COVID-19

2020 ◽  
Vol 30 (3) ◽  
pp. 194-198 ◽  
Author(s):  
Daryle Blackstock ◽  
Laura Butler ◽  
Samantha Delair ◽  
Katherine Dokus ◽  
Farrington Eileen ◽  
...  
Keyword(s):  
New York ◽  
Organ Procurement ◽  
Clinical Care ◽  
New York State ◽  
Severity Of Illness ◽  
Surgical Patient ◽  
Work Processes ◽  
Hospital Units ◽  
Lifetime Experience ◽  
Organ Procurement Organizations

New York State, and especially New York City, were hit hard by the coronavirus disease 2019 (COVID-19) virus. While we followed its course in other parts of the world, and began preparations, there was no way we could have been prepared for the volume and severity of illness that began to overflow in our emergency departments and hospital units. We expanded intensive care units into our medical surgical units while turning conference rooms into medical surgical patient care areas. Clinicians at the bedside described war-like situations with numerous patients arresting and requiring ventilator support. Our New York consortia and organ procurement organizations met online 3 times a week and shared creative strategies to address clinical care and work processes. We would like to share strategies from what we hope was a once in a lifetime experience.

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