Cross-validation of a Sequential Organ Failure Assessment score-based model to predict mortality in patients with cancer admitted to the intensive care unit.J Crit Care. 2012;27:673-680. [PMID: 22762932 DOI: 10.1016/j.jcrc.2012.04.018]

Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit

This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of in-hospital mortality risk in patients with spontaneous intracerebral hemorrhage (sICH) in the intensive care unit (ICU). We did a retrospective study in our study and identified cases of sICH from the MIMIC IV (n = 1486) and Zhejiang Hospital databases (n = 110). The model was constructed using features selected through LASSO regression. Among five well-known models, the selection of the best model was based on the area under the curve (AUC) in the validation cohort. We further analyzed calibration and decision curves to assess prediction results and visualized the impact of each variable on the model through SHapley Additive exPlanations. To facilitate accessibility, we also created a visual online calculation page for the model. The XGBoost exhibited high accuracy in both internal validation (AUC = 0.907) and external validation (AUC = 0.787) sets. Calibration curve and decision curve analyses showed that the model had no significant bias as well as being useful for supporting clinical decisions. XGBoost is an effective algorithm for predicting in-hospital mortality in patients with sICH, indicating its potential significance in the development of early warning systems.

SOFA score performs worse than age for predicting mortality in patients with COVID-19

The use of the Sequential Organ Failure Assessment (SOFA) score, originally developed to describe disease morbidity, is commonly used to predict in-hospital mortality. During the COVID-19 pandemic, many protocols for crisis standards of care used the SOFA score to select patients to be deprioritized due to a low likelihood of survival. A prior study found that age outperformed the SOFA score for mortality prediction in patients with COVID-19, but was limited to a small cohort of intensive care unit (ICU) patients and did not address whether their findings were unique to patients with COVID-19. Moreover, it is not known how well these measures perform across races. In this retrospective study, we compare the performance of age and SOFA score in predicting in-hospital mortality across two cohorts: a cohort of 2,648 consecutive adult patients diagnosed with COVID-19 who were admitted to a large academic health system in the northeastern United States over a 4-month period in 2020 and a cohort of 75,601 patients admitted to one of 335 ICUs in the eICU database between 2014 and 2015. We used age and the maximum SOFA score as predictor variables in separate univariate logistic regression models for in-hospital mortality and calculated area under the receiver operator characteristic curves (AU-ROCs) and area under precision-recall curves (AU-PRCs) for each predictor in both cohorts. Among the COVID-19 cohort, age (AU-ROC 0.795, 95% CI 0.762, 0.828) had a significantly better discrimination than SOFA score (AU-ROC 0.679, 95% CI 0.638, 0.721) for mortality prediction. Conversely, age (AU-ROC 0.628 95% CI 0.608, 0.628) underperformed compared to SOFA score (AU-ROC 0.735, 95% CI 0.726, 0.745) in non-COVID-19 ICU patients in the eICU database. There was no difference between Black and White COVID-19 patients in performance of either age or SOFA Score. Our findings bring into question the utility of SOFA score-based resource allocation in COVID-19 crisis standards of care.

The Clinical Utility of Albumin with Sequential Organ Failure Assessment (SOFA) in Improving 30-Day Mortality Prediction in Patients with Infection in the Emergency Department

BACKGROUND

The Sequential Organ Failure Assessment (SOFA) score is currently the primary prognostic tool used in patients with infections to predict sepsis and mortality, although its predictive role remains debated. Serum albumin values have been recently found to correlate with the severity of sepsis. The purpose of this study is to evaluate the clinical usefulness of albumin dosage on SOFA score prediction in infected patients.

METHODS

This prospective single-centre observational study was performed in 2021. We used the net reclassification improvement (NRI) technique to evaluate the additional prognostic value of serum albumin used together with the SOFA score in infected patients. The discriminatory abilities of the SOFA score alone, of albumin levels alone, and of the albumin levels together with (but not incorporated into) the SOFA score was evaluated by comparing the area under the curve of the corresponding receiver operating characteristic (ROC) curves.

RESULTS

We included 949 patients with an infectious status; 8.9% (84/949) died within 30 days of ED admission. The AUROC for the SOFA score was 0.802 (95% CI: 0.756-0.849) and the albumin level was 0.813 (95% CI: 0.775-0.852). The NRI found that serum albumin improved SOFA score predictions of 30-day mortality by 24.3% (p < 0.001), yielding an AUROC of 0.881 (95% CI: 0.848-0.912; p < 0.001).

CONCLUSIONS

Using serum albumin values together with the SOFA score can improve prognostic prediction in patients with infections evaluated in the ED.

Surgical Emergencies in Patients with Significant Comorbid Diseases

Emergency surgery in patients with significant comorbidities benefits from a structured approach to preoperative evaluation, intra-operative intervention, and postoperative management. Providing goal concordant care is ideal using shared decision-making. When operation cannot achieve the patient's goal, non-operative therapy including Comfort Care is appropriate. When surgical therapy is offered, preoperative physiology-improving interventions are far fewer than in other phases. Reevaluation of clinical care progress helps define trajectory and inform goals of care. Palliative Care Medicine may be critical in supporting loved ones during a patient's critical illness. Outcome evaluation defines successful strategies and outline opportunities for improvement.

Predictive Modeling Using Artificial Intelligence and Machine Learning Algorithms on Electronic Health Record Data: Advantages and Challenges

The rapid adoption of electronic health record (EHR) systems in US hospitals from 2008 to 2014 produced novel data elements for analysis. Concurrent innovations in computing architecture and machine learning (ML) algorithms have made rapid consumption of health data feasible and a powerful engine for clinical innovation. In critical care research, the net convergence of these trends has resulted in an exponential increase in outcome prediction research. In the following article, we explore the history of outcome prediction in the intensive care unit (ICU), the growing use of EHR data, and the rise of artificial intelligence and ML (AI) in critical care.

Outcomes of CAR-T Cell Therapy Recipients Admitted to the ICU: In Search for a Standard of Care-A Brief Overview and Meta-Analysis of Proportions

OBJECTIVE

Our primary objective was to describe the baseline characteristics, main reasons for intensive care unit (ICU) admission, and interventions required in the ICU across patients who received CAR-T cell immunotherapy. The secondary objectives were to evaluate different outcomes (ICU mortality) across patients admitted to the ICU after having received CAR-T cell therapy.

MATERIALS AND METHODS

We performed a medical literature review, which included MEDLINE, Embase, and Cochrane Library, of studies published from the inception of the databases until 2022. We conducted a systematic review with meta-analyses of proportions of several studies, including CAR-T cell-treated patients who required ICU admission. Outcomes in the meta-analysis were evaluated using the random-effects model.

RESULTS

We included four studies and analyzed several outcomes, including baseline characteristics and ICU-related findings. CAR-T cell recipients admitted to the ICU are predominantly males (62% CI-95% (57-66)). Of the total CAR-T cell recipients, 4% CI-95% (3-5) die in the hospital, and 6% CI-95% (4-9) of those admitted to the ICU subsequently die. One of the main reasons for ICU admission is acute kidney injury (AKI) in 15% CI-95% (10-19) of cases and acute respiratory failure in 10% CI-95% (6-13) of cases. Regarding the interventions initiated in the ICU, 18% CI-95% (13-22) of the CAR-T recipients required invasive mechanical ventilation during their ICU stay, 23% CI-95% (16-30) required infusion of vasoactive drugs, and 1% CI-95% (0.1-3) required renal replacement therapy (RRT). 18% CI-95% (13-22) of the initially discharged patients were readmitted to the ICU within 30 days, and the mean length of hospital stay is 22 days CI-95% (19-25). The results paint a current state of matter in CAR-T cell recipients admitted to the ICU.

CONCLUSIONS

To better understand immunotherapy-related complications from an ICU standpoint, acknowledge the deteriorating patient on the ward, reduce the ICU admission rate, advance ICU care, and improve the outcomes of these patients, a standard of care and research regarding CAR-T cell-based immunotherapies should be created. Studies that are looking from the perspective of intensive care are highly warranted because the available literature regarding this area is scarce.

Sepsis Prediction Model for Determining Sepsis vs SIRS, qSOFA, and SOFA

Importance

The Sepsis Prediction Model (SPM) is a proprietary decision support tool created by Epic Systems; it generates a predicting sepsis score (PSS). The model has not undergone validation against existing sepsis prediction tools, such as Systemic Inflammatory Response Syndrome (SIRS), Sequential Organ Failure Assessment (SOFA), or quick Sepsis-Related Organ Failure Asessement (qSOFA).

Objective

To assess the validity and timeliness of the SPM compared with SIRS, qSOFA, and SOFA.

Design, Setting, and Participants

This retrospective cohort study included all adults admitted to 5 acute care hospitals in a single US health system between June 5, 2019, and December 31, 2020. Data analysis was conducted from March 2021 to February 2023.

Main Outcomes and Measures

A sepsis event was defined as receipt of 4 or more days of antimicrobials, blood cultures collected within ±48 hours of initial antimicrobial, and at least 1 organ dysfunction as defined by the organ dysfunction criteria optimized for the electronic health record (eSOFA). Time zero was defined as 15 minutes prior to qualifying antimicrobial or blood culture order.

Results

Of 60 507 total admissions, 1663 (2.7%) met sepsis criteria, with 1324 electronic health record-confirmed sepsis (699 [52.8%] male patients; 298 [22.5%] Black patients; 46 [3.5%] Hispanic/Latinx patients; 945 [71.4%] White patients), 339 COVID-19 sepsis (183 [54.0%] male patients; 98 [28.9%] Black patients; 36 [10.6%] Hispanic/Latinx patients; and 189 [55.8%] White patients), and 58 844 (97.3%; 26 632 [45.2%] male patients; 12 698 [21.6%] Black patients; 3367 [5.7%] Hispanic/Latinx patients; 40 491 White patients) did not meet sepsis criteria. The median (IQR) age was 63 (51 to 73) years for electronic health record-confirmed sepsis, 69 (60 to 77) years for COVID-19 sepsis, and 60 (42 to 72) years for nonsepsis admissions. Within the vendor recommended threshold PSS range of 5 to 8, PSS of 8 or greater had the highest balanced accuracy for classifying a sepsis admission at 0.79 (95% CI, 0.78 to 0.80). Change in SOFA score of 2 or more had the highest sensitivity, at 0.97 (95% CI, 0.97 to 0.98). At a PSS of 8 or greater, median (IQR) time to score positivity from time zero was 68.00 (6.75 to 605.75) minutes. For SIRS, qSOFA, and SOFA, median (IQR) time to score positivity was 7.00 (-105.00 to 08.00) minutes, 74.00 (-22.25 to 599.25) minutes, and 28.00 (-108.50 to 134.00) minutes, respectively.

Conclusions and Relevance

In this cohort study of hospital admissions, balanced accuracy of the SPM outperformed other models at higher threshold PSS; however, application of the SPM in a clinical setting was limited by poor timeliness as a sepsis screening tool as compared to SIRS and SOFA.

Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit

BACKGROUNDS

The in-hospital mortality in lung cancer patients admitted to intensive care unit (ICU) is extremely high. This study intended to adopt machine learning algorithm models to predict in-hospital mortality of critically ill lung cancer for providing relative information in clinical decision-making.

METHODS

Data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) for a training cohort and data extracted from the Medical Information Mart for eICU Collaborative Research Database (eICU-CRD) database for a validation cohort. Logistic regression, random forest, decision tree, light gradient boosting machine (LightGBM), eXtreme gradient boosting (XGBoost), and an ensemble (random forest+LightGBM+XGBoost) model were used for prediction of in-hospital mortality and important feature extraction. The AUC (area under receiver operating curve), accuracy, F1 score and recall were used to evaluate the predictive performance of each model. Shapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance of each feature.

RESULTS

Overall, there were 653 (24.8%) in-hospital mortality in the training cohort, and 523 (21.7%) in-hospital mortality in the validation cohort. Among the six machine learning models, the ensemble model achieved the best performance. The top 5 most influential features were the sequential organ failure assessment (SOFA) score, albumin, the oxford acute severity of illness score (OASIS) score, anion gap and bilirubin in random forest and XGBoost model. The SHAP summary plot was used to illustrate the positive or negative effects of the top 15 features attributed to the XGBoost model.

CONCLUSION

The ensemble model performed best and might be applied to forecast in-hospital mortality of critically ill lung cancer patients, and the SOFA score was the most important feature in all models. These results might offer valuable and significant reference for ICU clinicians' decision-making in advance.

Better Outcome of Off-Label High-Dose Ceftazidime in Hemato-Oncological Patients with Infections Caused by Extensively Drug-Resistant Pseudomonas Aeruginosa

Background

P. aeruginosa sepsis in immunocompromised patients is a serious complication of cancer treatment, especially in the case of an Extensively Drug Resistant (XDR) pathogen. The aim of the study is to evaluate the efficacy of high-dose ceftazidime in the treatment of XDR P. aeruginosa infection and to compare it with the conventionally treated cohort in hemato-oncological patients.

Methods

We identified 27 patients with XDR P. aeruginosa infection during the 2008-2018 period, 16 patients served as a conventionally treated cohort with an antipseudomonal beta-lactam antibiotic in standard dose (cohort A), and 11 patients were treated with high-dose ceftazidime (cohort B). Most of the patients were neutropenic and under active treatment for their cancer in both cohorts.

Results

Mortality and related mortality were statistically significantly better for cohort B than cohort A; it was 18.2% and 9.1% for cohort B and 68.8% and 68.8% for cohort A, respectively. More patients in cohort A needed mechanical ventilation and renal replacement therapy, 75% and 50% for cohort A and 27.3% and 9.9% for cohort B, respectively. It corresponded well with the worst sequential organ failure score (SOFA) in cohort A compared to cohort B, 16 versus 7, respectively. Reversible neurotoxicity was seen only in two patients in cohort B.

Conclusion

Ceftazidime in high doses is a very potent antibiotic (ATB) for treating XDR P. aeruginosa infections in neutropenic cancer with acceptable toxicity.

MELD-Na score, Acute Physiologic and Chronic Health Evaluation II score, and SOFA score and their association with mortality in critically ill COVID-19 patients with liver injury: A retrospective single-center study

Background

The Acute Physiologic and Chronic Health Evaluation II (APACHE-II), Sequential Organ Failure Assessment (SOFA), and Model for End-Stage Liver Disease modified for Sodium concentration (MELD-Na) scores are validated to predict disease mortality. We studied the prognostic utility of these scoring systems in critically ill coronavirus disease 2019 (COVID-19) patients with liver injury.

Methods

This was a retrospective study of 291 confirmed COVID-19 and liver injury patients requiring intensive care unit level of care. These patients required supplemental oxygen requirement with fraction of inspired oxygen >55% and/or the use of vasopressor. MELD-Na, SOFA, and APACHE-II scores were adjusted. Outcomes were mortality and length of stay (LOS).

Results

SOFA (odds ratio: 0.78, 95% confidence interval: 0.63-0.98, P < 0.05) was associated with decreased odds for mortality. APACHE-II and MELD-Na were not associated with mortality or LOS.

Conclusions

We suggest that the novel nature of COVID-19 necessitates new scoring systems to predict outcomes in critically ill COVID-19 patients with liver injury.

Development of New Equations Predicting the Mortality Risk of Patients on Continuous RRT

Background

Predicting the risk of death in patients admitted to the critical care unit facilitates appropriate management. In particular, among patients who are critically ill, patients with continuous RRT (CRRT) have high mortality, and predicting the mortality risk of these patients is difficult. The purpose of this study was to develop models for predicting the mortality risk of patients on CRRT and to validate the models externally.

Methods

A total of 699 adult patients with CRRT who participated in the VolumE maNagement Under body composition monitoring in critically ill patientS on CRRT (VENUS) trial and 1515 adult patients with CRRT in Seoul National University Hospital were selected as the development and validation cohorts, respectively. Using 11 predictor variables selected by the Cox proportional hazards model and clinical importance, equations predicting mortality within 7, 14, and 28 days were developed with development cohort data.

Results

The equation using 11 variables had area under the time-dependent receiver operating characteristic curve (AUROC) values of 0.75, 0.74, and 0.73 for predicting 7-, 14-, and 28-day mortality, respectively. All equations had significantly higher AUROCs than the Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. The 11-variable equation was superior to the SOFA and APACHE II scores in the integrated discrimination index and net reclassification improvement analyses.

Conclusions

The newly developed equations for predicting CRRT patient mortality showed superior performance to the previous scoring systems, and they can help physicians manage patients.

Safety and efficacy of convalescent plasma for severe COVID-19: a randomized, single blinded, parallel, controlled clinical study

Background

Convalescent plasma (CP) has been widely used to treat COVID-19 and is under study. However, the variability in the current clinical trials has averted its wide use in the current pandemic. We aimed to evaluate the safety and efficacy of CP in severe coronavirus disease 2019 (COVID-19) in the early stages of the disease.

Methods

A randomized controlled clinical study was conducted on 101 patients admitted to the hospital with confirmed severe COVID-19. Most participants had less than 14 days from symptoms onset and less than seven days from hospitalization. Fifty patients were assigned to receive CP plus standard therapy (ST), and 51 were assigned to receive ST alone. Participants in the CP arm received two doses of 250 mL each, transfused 24 h apart. All transfused plasma was obtained from "super donors" that fulfilled the following criteria: titers of anti-SARS-CoV-2 S1 IgG ≥ 1:3200 and IgA ≥ 1:800 antibodies. The effect of transfused anti-IFN antibodies and the SARS-CoV-2 variants at the entry of the study on the overall CP efficacy was evaluated. The primary outcomes were the reduction in viral load and the increase in IgG and IgA antibodies at 28 days of follow-up. The per-protocol analysis included 91 patients.

Results

An early but transient increase in IgG anti-S1-SARS-CoV-2 antibody levels at day 4 post-transfusion was observed (Estimated difference [ED], − 1.36; 95% CI, − 2.33 to − 0.39; P = 0.04). However, CP was not associated with viral load reduction in any of the points evaluated. Analysis of secondary outcomes revealed that those patients in the CP arm disclosed a shorter time to discharge (ED adjusted for mortality, 3.1 days; 95% CI, 0.20 to 5.94; P = 0.0361) or a reduction of 2 points on the WHO scale when compared with the ST group (HR adjusted for mortality, 1.6; 95% CI, 1.03 to 2.5; P = 0.0376). There were no benefits from CP on the rates of intensive care unit admission (HR, 0.82; 95% CI, 0.35 to 1.9; P = 0.6399), mechanical ventilation (HR, 0.66; 95% CI, 0.25 to 1.7; P = 0.4039), or mortality (HR, 3.2; 95% CI, 0.64 to 16; P = 0.1584). Anti-IFN antibodies and SARS-CoV-2 variants did not influence these results.

Conclusion

CP was not associated with viral load reduction, despite the early increase in IgG anti-SARS-CoV-2 antibodies. However, CP is safe and could be a therapeutic option to reduce the hospital length of stay.

Trial registration NCT04332835

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07560-7.

Characteristics and outcomes of sepsis patients with and without COVID-19

BACKGROUND

The aim of this study was to describe and compare clinical characteristics and outcomes in critically ill septic patients with and without COVID-19.

METHODS

From February 2020 to March 2021, patients from surgical and medical ICUs at the University Hospital Dresden were screened for sepsis. Patient characteristics and outcomes were assessed descriptively. Patient survival was analyzed using the Kaplan-Meier estimator. Associations between in-hospital mortality and risk factors were modeled using robust Poisson regression, which facilitates derivation of adjusted relative risks.

RESULTS

In 177 ICU patients treated for sepsis, COVID-19 was diagnosed and compared to 191 septic ICU patients without COVID-19. Age and sex did not differ significantly between sepsis patients with and without COVID-19, but SOFA score at ICU admission was significantly higher in septic COVID-19 patients. In-hospital mortality was significantly higher in COVID-19 patients with 59% compared to 29% in Non-COVID patients. Statistical analysis resulted in an adjusted relative risk for in-hospital mortality of 1.74 (95%-CI=1.35-2-24) in the presence of COVID-19 compared to other septic patients. Age, procalcitonin maximum value over 2 ng/ml, need for renal replacement therapy, need for invasive ventilation and septic shock were identified as additional risk factors for in-hospital mortality.

CONCLUSION

COVID-19 was identified as independent risk factor for higher in-hospital mortality in sepsis patients. The need for invasive ventilation and renal replacement therapy as well as the presence of septic shock and higher PCT should be considered to identify high-risk patients.

The bacterial density of clinical rectal swabs is highly variable, correlates with sequencing contamination, and predicts patient risk of extraintestinal infection

BACKGROUND

In ecology, population density is a key feature of community analysis. Yet in studies of the gut microbiome, bacterial density is rarely reported. Studies of hospitalized patients commonly use rectal swabs for microbiome analysis, yet variation in their bacterial density-and the clinical and methodologic significance of this variation-remains undetermined. We used an ultra-sensitive quantification approach-droplet digital PCR (ddPCR)-to quantify bacterial density in rectal swabs from 118 hospitalized patients. We compared bacterial density with bacterial community composition (via 16S rRNA amplicon sequencing) and clinical data to determine if variation in bacterial density has methodological, clinical, and prognostic significance.

RESULTS

Bacterial density in rectal swab specimens was highly variable, spanning five orders of magnitude (1.2 × 10⁴-3.2 × 10⁹ 16S rRNA gene copies/sample). Low bacterial density was strongly correlated with the detection of sequencing contamination (Spearman ρ = - 0.95, p < 10^-16). Low-density rectal swab communities were dominated by peri-rectal skin bacteria and sequencing contaminants (p < 0.01), suggesting that some variation in bacterial density is explained by sampling variation. Yet bacterial density was also associated with important clinical exposures, conditions, and outcomes. Bacterial density was lower among patients who had received piperacillin-tazobactam (p = 0.017) and increased among patients with multiple medical comorbidities (Charlson score, p = 0.0040) and advanced age (p = 0.043). Bacterial density at the time of hospital admission was independently associated with subsequent extraintestinal infection (p = 0.0028), even when controlled for severity of illness and comorbidities.

CONCLUSIONS

The bacterial density of rectal swabs is highly variable, and this variability is of methodological, clinical, and prognostic significance. Microbiome studies using rectal swabs are vulnerable to sequencing contamination and should include appropriate negative sequencing controls. Among hospitalized patients, gut bacterial density is associated with clinical exposures (antibiotics, comorbidities) and independently predicts infection risk. Bacterial density is an important and under-studied feature of gut microbiome community analysis. Video abstract.

Outcomes of Continuous Renal Replacement Therapy in a Community Health System

OBJECTIVE

Continuous renal replacement therapy (CRRT) is commonly used in critically ill, hemodynamically unstable patients with acute kidney injury (AKI). This procedure is resource intensive with reported high in-hospital mortality. We evaluated mortality with CRRT in our healthcare system and markers associated with decreased survival.

METHODS

A retrospective cohort study collected data on patients 18 years or older, without prior history of end stage kidney disease (ESKD), who received CRRT in the intensive care units at one of three hospitals in our health system in Columbus, OH from July 1, 2016 to July 1, 2019. Data included demographics, presenting diagnosis, comorbidities, laboratory markers, and patient disposition. In-hospital mortality rates and sequential organ failure assessment (SOFA) scores were calculated. We then compared information between two groups (patients who died during hospitalization and survivors) using univariate comparisons and multivariate logistic regression models.

RESULTS

In-hospital mortality was 56.8% (95%CI: 53.4-60.1) among patients who received CRRT. Mean SOFA scores did not differ between survival and mortality groups. The odds for in-patient mortality were increased for patients age ≥60 (OR = 1.74, 95%CI: 1.23-2.44), first bilirubin >2 mg/dL (OR = 1.73, 95%CI: 1.12-2.69), first creatinine < 2 mg/dL (OR = 1.57, 95%CI: 1.04-2.37), first lactate > 2 mmol/L (OR = 2.08, 95%CI: 1.43-3.04). The odds for in-patient mortality were decreased for patients with cardiogenic shock (OR = .32, 95%CI: .17-.58) and hemorrhagic shock (OR = .29, 95%CI: .13-.63).

CONCLUSIONS

We report in-hospital mortality rates of 56.8% with CRRT. Unlike prior studies, higher mean SOFA scores were not predictive of higher in-hospital mortality in patients utilizing CRRT.

Liver disorders in COVID-19, nutritional approaches and the use of phytochemicals

Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), has affected millions of people globally. It was declared a pandemic by the World Health Organization in March 2020. The hyperinflammatory response to the entry of SARS-CoV-2 into the host through angiotensin-converting enzyme 2 is the result of a "cytokine storm" and the high oxidative stress responsible for the associated symptomatology. Not only respiratory symptoms are reported, but gastrointestinal symptoms (diarrhea, vomiting, and nausea) and liver abnormalities (high levels of aspartate aminotransferase, alanine aminotransferase transaminases, and bilirubin) are observed in at least 30% of patients. Reduced food intake and a delay in medical services may lead to malnutrition, which increases mortality and poor outcomes. This review provides some strategies to identify malnutrition and establishes nutritional approaches for the management of COVID-19 and liver injury, taking energy and nutrient requirements and their impact on the immune response into account. The roles of certain phytochemicals in the prevention of the disease or as promising target drugs in the treatment of this disease are also considered.

Clinical outcomes and prognostic factors of mortality in liver cirrhosis patients on continuous renal replacement therapy in two tertiary hospitals in Korea

Background

Data on liver cirrhosis (LC) patients undergoing continuous renal replacement therapy (CRRT) are lacking despite of the dismal prognosis. We therefore evaluated clinical characteristics and predictive factors related to mortality in LC patients undergoing CRRT.

Methods

We performed a retrospective observational study at two tertiary hospitals in Korea. A total of 229 LC patients who underwent CRRT were analyzed. Patients were classified into survivor and non-survivor groups. We used multivariable Cox regression analyses to identify predictive factors of in-hospital mortality.

Results

During a median follow-up of 5 days (interquartile range, 1-19 days), in-hospital mortality rate was 66.4%. In multivariable analysis, the Acute Physiology and Chronic Health Evaluation II (APACHE II) score (hazard ratio [HR], 1.03; 95% confidence interval [CI], 1.01-1.06; p = 0.02), Model for End-Stage Liver Disease (MELD) score (HR, 1.08; 95% CI, 1.04-1.11; p > 0.001), and delivered CRRT dose (HR, 0.95; 95% CI, 0.92-0.98; p = 0.002) were significant risk factors for in-hospital mortality. Patients with a CRRT delivered dose < 25 mL/kg/hr had a higher mortality rate than those with a delivered dose > 35 mL/kg/hr (HR, 3.13; 95% CI, 1.62-6.05; p = 0.001). Subgroup analysis revealed that a CRRT delivered dose > 25 mL/kg/hr was a significant risk factor for in-hospital mortality among LC patients with a MELD score ≥ 30.

Conclusion

High APACHE II score, high MELD score, and low delivered CRRT dose were significant risk factors for in-hospital mortality. CRRT delivered dose impacted mortality significantly, especially in patients with a MELD score ≥ 30.

Prediction of Sepsis Related Mortality: An Optimization Approach

Sepsis is a condition that progresses quickly and is a major cause of mortality in hospitalized patients. Data-driven diagnostic and therapeutic interventions are essential to ensure early diagnosis and appropriate care. The Sequential Organ Failure Assessment (SOFA) score is widely utilized in clinical practice to assess septic patients for organ dysfunction. The SOFA score uses points between 0 and 4 to quantify the level of dysfunction in six organ systems. These points are determined based on expert opinion and not informed by data, thus their usefulness can vary among different medical institutions depending on the targeted use. In this study, we propose multiple strategies to adjust the SOFA score using mixed-integer programming to improve the in-hospital mortality prediction of septic patients based on Electronic Health Records (EHRs). We use the same variables and threshold values of the original SOFA score in each strategy. Thus, the proposed approach takes advantage of optimization and data analysis while taking into account the medical expertise. Our results demonstrate a statistically significant improvement (p<0.001) in the prediction of in-hospital mortality among patients susceptible to sepsis when implementing our proposed strategies. Area under the receiver operator curve (AUC) and accuracy values of 0.8928 and 0.8904 are achieved by optimizing the point values of the SOFA score.

Registry on extracorporeal multiple organ support with the advanced organ support (ADVOS) system: 2-year interim analysis

The objective of this registry is to collect data on real-life treatment conditions for patients for whom multiple organ dialysis with Advanced Organ Support (ADVOS) albumin hemodialysis is indicated.This registry was performed under routine conditions and without any study-specific intervention, diagnostic procedures, or assessments. Data on clinical laboratory tests, health status, liver function, vital signs, and examinations were collected (DRKS-ID: DRKS00017068). Mortality rates 28 and 90 days after the first ADVOS treatment, adverse events and ADVOS treatment parameters, including treatment abortions, were documented.This analysis was performed 2 years after the first patient was included on January 18, 2017. As of February 20, 2019, 4 clinical sites in Germany participated and enrolled 118 patients with a median age of 60 (IQR: 45, 69) of whom 70 were male (59.3%). Patients had a median SOFA Score of 14 (IQR: 11, 16) and a predicted mortality of 80%. The median number of failing organs was 3 (IQR: 2, 4).Four hundred twenty nine ADVOS treatments sessions were performed with a median duration of 17 hours (IQR: 6, 23). A 5.8% of the ADVOS sessions (25 of 429) were aborted due to device related errors, while 14.5% (62 of 429) were stopped for other reasons. Seventy nine adverse events were documented, 13 of them device related (all clotting, and all recovered without sequels).A significant reduction in serum creatinine (1.5 vs 1.2 mg/dl), blood urea nitrogen (24 vs 17 mg/dl) and bilirubin (6.9 vs 6.5 mg/dl) was observed following the first ADVOS treatment session. Blood pH, bicarbonate (HCO3-) and base excess returned to the physiological range, while partial pressure of carbon dioxide (pCO2) remained unchanged. At the time of the analysis, 28- and 90-day mortality were 60% and 65%, respectively, compared to an expected ICU-mortality rate of 80%. SOFA score was an independent predictor for outcome in a multivariable logistic regression analysis.The reported data show a high quality and completion of all participating centers. Data interpretation must be cautious due to the small number of patients, and the nature of the registry, without a control group. However, the data presented here show an improvement of expected mortality rates. Minor clotting events similar to other dialysis therapies occurred during the treatments.

Triage and Prognostication of Cancer Patients Admitted to the Intensive Care Unit

Cancer remains a leading cause of morbidity and mortality. Advances in cancer screening, early detection, targeted therapies, and supportive care have led to improvements in outcomes and quality of life. The rapid increase in novel cancer therapies can cause life-threatening adverse events. The need for intensive care unit (ICU) care is projected to increase. Until 2 decades ago, cancer diagnosis often precluded ICU admission. Recently, substantial cancer survival has been achieved; therefore, ICU denial is not recommended. ICU resources are limited and expensive; hence, appropriate utilization is needed. This review focuses on triage and prognosis in critically ill cancer patients requiring ICU admission.

Mortality difference between early-identified sepsis and late-identified sepsis

Objective

The aim of the study was to compare the mortality rates of patients with early-identified (EI) sepsis and late-identified (LI) sepsis.

Methods

We performed a retrospective chart review of patients admitted to the emergency department and diagnosed with sepsis. EI sepsis was defined as patients with a Sequential Organ Failure Assessment (SOFA) score ≥2, based on 3 parameters of the SOFA score (Glasgow coma scale, mean arterial pressure, and partial pressure of oxygen/fraction of inspired oxygen ratio), measured within an hour of emergency department admission. The remaining patients were defined as LI sepsis. The primary outcome was in-hospital mortality.

Results

Of the total 204 patients with sepsis, 113 (55.4%) had EI sepsis. Overall mortality rate was 15.7%, and EI sepsis group had significantly higher mortality than LI sepsis (23.0% vs. 6.6%, P=0.003). The patients with EI sepsis, compared to those with LI sepsis, had higher SOFA score (median: 4 vs. 2, P<0.001); Acute Physiology and Chronic Health Evaluation (APACHE) II score (median: 14 vs. 10, P<0.001); were more likely to progress to septic shock within 6 hours after admission (17.7% vs. 1.1%, P<0.001); were more likely to be admitted to the intensive care unit (2.2% vs. 1.1%, P=0.001).

Conclusion

Mortality was significantly higher in the EI sepsis group than in the LI sepsis group.

Within-Host Diversity of SARS-CoV-2 in COVID-19 Patients With Variable Disease Severities

Background: The ongoing pandemic of SARS-COV-2 has already infected more than eight million people worldwide. The majority of COVID-19 patients either are asymptomatic or have mild symptoms. Yet, about 15% of the cases experience severe complications and require intensive care. Factors determining disease severity are not yet fully characterized. Aim: Here, we investigated the within-host virus diversity in COVID-19 patients with different clinical manifestations. Methods: We compared SARS-COV-2 genetic diversity in 19 mild and 27 severe cases. Viral RNA was extracted from nasopharyngeal samples and sequenced using the Illumina MiSeq platform. This was followed by deep-sequencing analyses of SARS-CoV-2 genomes at both consensus and sub-consensus sequence levels. Results: Consensus sequences of all viruses were very similar, showing more than 99.8% sequence identity regardless of the disease severity. However, the sub-consensus analysis revealed significant differences in within-host diversity between mild and severe cases. Patients with severe symptoms exhibited a significantly (p-value 0.001) higher number of variants in coding and non-coding regions compared to mild cases. Analysis also revealed higher prevalence of some variants among severe cases. Most importantly, severe cases exhibited significantly higher within-host diversity (mean = 13) compared to mild cases (mean = 6). Further, higher within-host diversity was observed in patients above the age of 60 compared to the younger age group. Conclusion: These observations provided evidence that within-host diversity might play a role in the development of severe disease outcomes in COVID-19 patients; however, further investigations are required to elucidate this association.

Crisis Standards of Care in the USA: A Systematic Review and Implications for Equity Amidst COVID-19

Background

Crisis Standards of Care (CSC) provide a framework for the fair allocation of scarce resources during emergencies. The novel coronavirus disease (COVID-19) has disproportionately affected Black and Latinx populations in the USA. No literature exists comparing state-level CSC. It is unknown how equitably CSC would allocate resources.

Methods

The authors identified all publicly available state-level CSC through online searches and communication with state governments. Publicly available CSC were systematically reviewed for content including ethical framework and prioritization strategy.

Results

CSC were identified for 29 states. Ethical principles were explicitly stated in 23 (79.3%). Equity was listed as a guiding ethical principle in 15 (51.7%); 19 (65.5%) said decisions should not factor in race, ethnicity, disability, and other identity-based factors. Ten states (34.4%) allowed for consideration of societal value, which could lead to prioritization of health care workers and other essential personnel. Twenty-one (72.4%) CSC provided a specific strategy for prioritizing patients for critical care resources, e.g., ventilators. All incorporated Sequential Organ Failure Assessment scores; 15 (71.4%) of these specific CSC considered comorbid conditions (e.g., cardiac disease, renal failure, malignancy) in resource allocation decisions.

Conclusion

There is wide variability in the existence and specificity of CSC across the USA. CSC may disproportionately impact disadvantaged populations due to inequities in comorbid condition prevalence, expected lifespan, and other effects of systemic racism.

Higher plasma cystatin C is associated with mortality after acute respiratory distress syndrome: findings from a Fluid and Catheter Treatment Trial (FACTT) substudy

BACKGROUND

Cystatin C is a well-validated marker of glomerular filtration rate in chronic kidney disease. Higher plasma concentrations of cystatin C are associated with worse clinical outcomes in heterogenous populations of critically ill patients and may be superior to creatinine in identifying kidney injury in critically ill patients. We hypothesized that elevated levels of plasma cystatin C in patients with acute respiratory distress syndrome (ARDS) would be associated with mortality risk.

METHODS

In a retrospective study, cystatin C was measured by nephelometry on plasma obtained at enrollment from 919 patients in the Fluid and Catheter Treatment Trial. Multivariable logistic regression was performed testing the association between quartiles of cystatin C and 60-day mortality. Analyses were stratified by acute kidney injury (AKI) status identified in the first 7 days after enrollment by Kidney Disease: Improving Global Outcomes (KDIGO) criteria.

RESULTS

Cystatin C was significantly higher among those patients who died compared to those who survived to 60 days [1.2 (0.9-1.9) mg/L vs. 0.8 (0.6-1.2) mg/L, p < 0.001]. Compared to the lower three quartiles, subjects in the highest quartile of cystatin C had a significantly higher odds of death at 60 days [OR 1.8 (1.2-2.6), p = 0.003 in adjusted analyses]; the odds of death incrementally rose in higher cystatin C quartiles compared to the lowest quartile (OR 1.1, 1.8, and 2.5). In adjusted analyses stratified by AKI status, compared to subjects in the lower three quartiles, subjects in the highest quartile of cystatin C with AKI had a significantly higher odds of death at 60 days both in participants with AKI [OR 1.6 (1.0-2.4), p = 0.048] and those without AKI [OR 2.4 (1.2-5.0), p = 0.017]. In adjusted analyses, there was no significant association between sex-stratified baseline creatinine quartiles and mortality.

CONCLUSIONS

Higher plasma levels of cystatin C on enrollment were strongly associated with mortality at 60 days in patients with ARDS with and without AKI identified by creatinine-based definitions. Compared to creatinine, cystatin C may be a better biomarker of kidney function in patients with ARDS and therefore identify patients with multiple organ failure at higher risk of death.

Mortality Prediction Using SOFA Score in Critically Ill Surgical and Non-Surgical Patients: Which Parameter Is the Most Valuable?

Background and Objectives: assessment systems, such as the Sequential Organ Failure Assessment (SOFA) scale, are routinely used in intensive care units (ICUs) worldwide in order to predict patients' outcome. We aimed to investigate SOFA's usefulness in the prognostication of ICU mortality, including an analysis of the importance of its variables. Materials and Method: this single-centre observational study covered 905 patients that were admitted from 01.01.2015 to 31.12.2017 to a tertiary mixed ICU. The SOFA score was calculated on ICU admission. The worst results recorded within 24 h post admission were included into the calculation. The assessment was performed within subgroups of surgical (SP) and non-surgical patients (NSP). The subjects were followed-up until ICU discharge or death. ICU mortality was considered to be the outcome. Results: ICU mortality reached 35.4% (i.e., 320 deceased out of 905 ICU stays) and it was significantly lower in SP (n = 158, 25.3%) as compared with NSP (n = 162, 57.9%) (p < 0.001). A one-point increase in the SOFA score resulted in 1.35 times higher risk of death in the ICU in the whole studied population. Among the individual variables of SOFA, creatinine concentration was the most powerful in prognostication (OR = 1.92) in univariate analysis, while the Glasgow Coma Scale (GCS) score appeared to be the most important variable in multivariate analysis (OR = 1.8). Mortality prediction using consecutive SOFA variables differed between SP and NSP, as well as between men and women. Conclusions: The overall SOFA score predicts mortality to a similar extent in both surgical and non-surgical subjects. However, there are significant differences in prognostication using its particular components.

Intraoperative Mechanical Ventilation and Postoperative Pulmonary Complications after Cardiac Surgery

BACKGROUND

Compared with historic ventilation strategies, modern lung-protective ventilation includes lower tidal volumes (VT), lower driving pressures, and application of positive end-expiratory pressure (PEEP). The contributions of each component to an overall intraoperative protective ventilation strategy aimed at reducing postoperative pulmonary complications have neither been adequately resolved, nor comprehensively evaluated within an adult cardiac surgical population. The authors hypothesized that a bundled intraoperative protective ventilation strategy was independently associated with decreased odds of pulmonary complications after cardiac surgery.

METHODS

In this observational cohort study, the authors reviewed nonemergent cardiac surgical procedures using cardiopulmonary bypass at a tertiary care academic medical center from 2006 to 2017. The authors tested associations between bundled or component intraoperative protective ventilation strategies (VT below 8 ml/kg ideal body weight, modified driving pressure [peak inspiratory pressure - PEEP] below 16 cm H2O, and PEEP greater than or equal to 5 cm H2O) and postoperative outcomes, adjusting for previously identified risk factors. The primary outcome was a composite pulmonary complication; secondary outcomes included individual pulmonary complications, postoperative mortality, as well as durations of mechanical ventilation, intensive care unit stay, and hospital stay.

RESULTS

Among 4,694 cases reviewed, 513 (10.9%) experienced pulmonary complications. After adjustment, an intraoperative lung-protective ventilation bundle was associated with decreased pulmonary complications (adjusted odds ratio, 0.56; 95% CI, 0.42-0.75). Via a sensitivity analysis, modified driving pressure below 16 cm H2O was independently associated with decreased pulmonary complications (adjusted odds ratio, 0.51; 95% CI, 0.39-0.66), but VT below 8 ml/kg and PEEP greater than or equal to 5 cm H2O were not.

CONCLUSIONS

The authors identified an intraoperative lung-protective ventilation bundle as independently associated with pulmonary complications after cardiac surgery. The findings offer insight into components of protective ventilation associated with adverse outcomes and may serve as targets for future prospective interventional studies investigating the impact of specific protective ventilation strategies on postoperative outcomes after cardiac surgery.

Comparison of Reverse Triage with National Early Warning Score, Sequential Organ Failure Assessment and Charlson Comorbidity Index to classify medical inpatients of an Italian II level hospital according to their resource's need

Resource allocation in our overcrowded hospitals would require classification of inpatients according to the severity of illness, the evolving risk and the clinical complexity. Reverse triage (RT) is a method used in disasters to identify inpatients according to their use of hospital resources. The aim of this observational prospective study is to evaluate the use of RT in medical inpatients of an Italian Hospital and to compare the RT score with National Early Warning Score, Sequential Organ Failure Assessment and Charlson Comorbidity Index. Cluster sampling was performed on high dependency unit (HDU), geriatrics (Ger) and internal medicine (IM) wards. We calculate RT, NEWS, SOFA and CCI from inpatient charts. Length of stay (LOS), transfer to a higher level of care, death and discharge date were collected after 30 days. We obtained demographics, comorbidities, severity and clinical complexity of 260 inpatients. We highlighted differences in NEWS, SOFA and CCI in the three divisions. On the contrary RT score was uniformly high (median 7), with 85% of patients with RT = 8. NEWS, SOFA and CCI were higher in patients with higher RT score. We used the sum of the interventions listed by RT (RT sum) as a proxy of the level of care needed. RT-sum showed moderate correlation with NEWS (r = 0.52 Spearman, p < 0.001). RT-sum was the highest in HDU, related to the evolving severity of HDU patients. Ger patients that showed the highest CCI score (with all patients in the CCI ≥ 3 category) had the second highest RT-sum. RT score showed similar values in the majority of the inpatients regardless of differences in NEWS, SOFA and CCI in different ward subgroups. RT-sum is related both to evolving severity (NEWS) and to clinical complexity (CCI). RT and NEWS could predict inpatient level of care and resource need associated with CCI.

Necrotizing pelvic infection after rectal resection. A rare indication of endoscopic vacuum-assisted closure therapy. A case report

INTRODUCTION

Anastomotic leak after colorectal surgery is a major problem associated with higher morbidity and mortality. In most cases of contained leaks, treatment recommendations are clear and effective. However, in rare cases like necrotizing pelvic infection, there is no clear treatment of choice, despite the mortality rate almost 21%. We present successful management with endoscopic vacuum-assisted closure therapy.

THE PRESENTATION OF A CASE

A 68-year-old female patient with BMI 26, hypothyroidism and high blood pressure was indicated to low anterior rectal resection because of high-risk neoplasia of lateral spreading tumor type of the upper rectum. Four days after the primary operation, sepsis (SOFA 12) with diffuse peritonitis and unconfirmed leak according to CT led to surgical revision with loop ileostomy. On postoperative days 6-10, swelling, inflammation and subsequent necrosis of the right groin and femoral region communicating with the leak cavity developed. The endoscopy confirmed a leak of 30% of the anastomotic circumference with the indication of debridement and endoscopic vacuum-assisted closure therapy. EVAC sessions with 3-4 day intervals healed the leak cavity. Secondary healing of the skin defects required 4 months.

CONCLUSION

Necrotizing pelvic infection after a leak of the colorectal anastomosis is a very rare complication with high morbidity and mortality. Endoscopic vacuum-assisted closure therapy should be implemented in the multimodal therapeutic strategy in case of major leaks, affecting up to 270° of the anastomotic circumference.

Predictors of Survival in Patients with Advanced Gastrointestinal Malignancies Admitted to the Intensive Care Unit

BACKGROUND

Patients with cancer have a high use of health care utilization at the end of life, which can frequently involve admissions to the intensive care unit (ICU). We sought to evaluate the predictors for outcome in patients with gastrointestinal (GI) cancer admitted to the ICU for nonsurgical conditions.

PATIENTS AND METHODS

The primary objective was to determine the predictors of hospital mortality. Secondary objectives included investigating the predictors of ICU mortality and hospital overall survival (OS). All patients with GI cancer admitted to the ICU at the University of Texas MD Anderson Cancer Center between November 2012 and February 2015 were retrospectively analyzed. Cancer characteristics, treatment characteristics, and Sequential Organ Failure Assessment (SOFA) scores were analyzed for their effects on survival.

RESULTS

The characteristics of the 200 patients were as follows: 64.5% male, mean age of 60 years, median SOFA score of 6.7, and tumor types of intestinal (37.5%), hepatobiliary/pancreatic (36%), and gastroesophageal (24%). The hospital mortality was 41%, and overall 6-month mortality was 75%. In multivariate analysis, high admission SOFA score > 5, poor tumor differentiation, and duration of metastatic disease ≤7 months were associated with increased hospital mortality. For OS, high admission SOFA score > 5, poor tumor differentiation, and patients who were not on active chemotherapy because of poor performance had worse outcome. In multivariate analysis, SOFA score remained significant for OS even after excluding patients who died in the ICU.

CONCLUSION

For patients with metastatic GI cancer admitted to the ICU, SOFA score was predictive for both acute and long-term survival. A patient's chemotherapy treatment status was not predictive for hospital mortality but was for OS. The SOFA score should be utilized in all patients with GI cancer upon ICU admission for prognostication.

IMPLICATIONS FOR PRACTICE

Patients with cancer have a high use of health care utilization at the end of life, which can frequently involve admissions to the intensive care unit (ICU). Although there have been substantial increases in duration of survival for patients with advanced metastatic cancer, their mortality after an ICU admission remains high. GI malignancy is considered one of the top three lethal cancers estimated in 2017. Survival of critically ill patients with advanced GI cancer should be evaluated to help guide treatment planning.

Developing and Testing a Chart Abstraction Tool for ICU Quality Measurement

Quality measures are increasingly used to measure the performance of providers, hospitals, and health care systems. Intensive care units (ICUs) are an important clinical area in hospitals, given that they generate high costs and present high risks to patients. Yet, currently, few valid and clinically significant ICU-specific outcome measures are reported nationally. This study reports on the creation and evaluation of new abstraction tools that evaluate ICU patients for the following clinically important outcomes: central line-associated bloodstream infection, methicillin-resistant Staphylococcus aureus, gastrointestinal bleed, and pressure ulcer. To allow ICUs and institutions to compare their outcomes, the tools include risk-adjustment variables that can be abstracted from the chart.

Mortality in adult patients with fluid overload evaluated by BIVA upon admission to the emergency department

PURPOSE OF THE STUDY

The aim of this study was to investigate the association of fluid overload, measured by bioelectrical impedance vector analysis (BIVA) and also by accumulated fluid balance, with 30-day mortality rates in patients admitted to the emergency department (ED).

DESIGN

We conducted a prospective observational study of fluid overload using BIVA, taking measures using a multiple-frequency whole-body tetrapolar equipment. Accumulated fluid balances were obtained at 24, 48 and 72 hours from ED admission and its association with 30-day mortality.

PATIENTS

109 patients admitted to the ED classified as fluid overloaded by both methods.

RESULTS

According to BIVA, 71.6% (n=78) of patients had fluid overload on ED admission. These patients were older and had higher Sequential Organ Failure Assessment scores. During a median follow-up period of 30 days, 32.1% (n=25) of patients with fluid overload evaluated by BIVA died versus none with normovolaemia (p=0.001). There was no statistically significant difference in mortality between patients with and without fluid overload as assessed by accumulated fluid balance (p=0.81).

CONCLUSIONS

Fluid overload on admission evaluated by BIVA was significantly related to mortality in patients admitted to the ED.

The prognostic value of a trend in modified SOFA score for patients with hematological malignancies in the intensive care unit

BACKGROUND

Patients with hematological malignancies admitted to an intensive care unit (ICU) have a poor prognosis. The Sequential Organ Failure Assessment (SOFA) score is used to monitor patients on the ICU. Little is known about the value of this score in hematology patients. Therefore, the prognostic value of the SOFA score and a modified hematological SOFA score (SOFAhem) was studied.

METHODS

Patients with hematological malignancies admitted to the ICU between 1999 and 2009 were analyzed in a retrospective cohort study. The SOFAhem score was defined as the original SOFA score omitting the coagulation and neurological parameters.

RESULTS

In 149 admissions, ICU mortality was 52%. Mortality was significantly associated with higher SOFA and SOFAhem scores on admission, and trend in SOFAhem scores. An unchanged and increased SOFAhem score compared to decreasing SOFAhem scores was associated with a higher mortality rate (53% resp 67% resp 25%).

CONCLUSIONS

Trends in SOFA or SOFAhem score are both suitable as prognostic parameter. The trend in SOFAhem score seems to be independently related to mortality in hematological patients admitted to the ICU, and because of the higher odds ratios and lower P-values compared to the SOFA score, it is probably stronger related to mortality than the classical score, but its prognostic value should be tested in a larger cohort.

Two Decades of ICU Utilization and Hospital Outcomes in a Comprehensive Cancer Center

OBJECTIVE

To investigate ICU utilization and hospital outcomes of oncological patients admitted to a comprehensive cancer center.

DESIGN

Observational cohort study.

SETTING

The University of Texas MD Anderson Cancer Center.

PATIENTS

Consecutive adults with cancer discharged over a 20-year period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The Cochran-Armitage test for trend was used to evaluate ICU utilization and hospital mortality rates by primary service over time. A negative binomial log linear regression model was fitted to the data to investigate length of stay over time. Among 387,306 adult hospitalized patients, the ICU utilization rate was 12.9%. The overall hospital mortality rate was 3.6%: 16.2% among patients with an ICU stay and 1.8% among non-ICU patients. Among those admitted to the ICU, the mean (SD) admission Sequential Organ Failure Assessment score was 6.1 (3.8) for all ICU patients: 7.3 (4.4) for medical ICU patients and 4.9 (2.8) for surgical ICU patients. Hematologic disorders were associated with the highest hospital mortality rate in ICU patients (42.8%); metastatic disease had the highest mortality rate in non-ICU patients (4.2%); sepsis, pneumonia, and other infections had the highest mortality rate for all inpatients (8.5%).

CONCLUSIONS

This study provides a longitudinal view of ICU utilization rates, hospital and ICU length of stay, and severity-adjusted mortality rates. Although the data arise from a single institution, it encompasses a large number of hospital admissions over two decades and can serve as a point of comparison for future oncological studies at similar institutions. More studies of this nature are needed to determine whether consolidation of cancer care into specialized large-volume facilities may improve outcomes, while simultaneously sustaining appropriate resource utilization and reducing unnecessary healthcare costs.

Predictors of survival in patients with sarcoma admitted to the intensive care unit

BACKGROUND

Advances in treatment of sarcoma patients has prolonged survival but has led to increased disease- or treatment-related complications resulting in greater number of admissions to the intensive care unit (ICU). Survival and long-term outcome information about such critically ill patients with sarcoma is unknown.

METHODS

The primary objective of the study was to determine the ICU and post-ICU survival rates of critically ill sarcoma patients. Secondary objectives included determining the modifiable and non-modifiable predictors of poor survival. We performed a retrospective chart review of sarcoma patients admitted to the ICU at The University of Texas MD Anderson Cancer Center between January 1, 2005, and December 31, 2012. Main outcome measures were ICU mortality, in-hospital mortality and 1, 2, and 6-month survival rates. Covariates such as histological diagnosis, disease characteristics, chemotherapy use, Charlson comorbidity index, Sequential Organ Failure Assessment (SOFA) scores, and clinical findings leading to ICU admission were analyzed for their effects on survival.

RESULTS

We identified 172 admissions over the 8-year study period hat met our inclusion criteria. The study population was 45.9 % males with a median age of 52 years. The most common sarcoma subgroups were high-grade unclassified sarcoma (25 %) and bone tumors (17.4 %). The ICU mortality rate was 23.3 % (95 % confidence interval [CI], 16.9-29.6 %), and an additional 6.4 % of patients died before hospital discharge (95 % CI, 22.9-37.1 %). 6-month OS rates were 41 %. The median SOFA scores on admission were 6 (inter quartile range (IQR), 3.5-9) in ICU survivors and 10 (IQR, 6.5-14) in ICU non-survivors. Increase in SOFA scores ≥6 led to poor outcomes (ICU survival 13.3 %, OS 6.7 %). Charlson comorbidity index (HR 1.139, 95 % CI 1.023-1.268, p = 0.02) and discharge SOFA scores (HR 1.210, 95 % CI 1.141-1.283, p < 0.0001) correlated with overall survival.

CONCLUSIONS

Our results suggest that patients that are admitted to the ICU for respiratory failure, cardiac arrest, septic shock, acute renal failure or acidosis and also have a high SOFA score with subsequent worsening in the ICU have poor prognosis. Based on the retrospective data which needs further validation we can recommend that judicious approach should be taken in patients with predictors of poor survival before subjecting them to aggressive treatment.