Sepsis-related Organ Failure Assessment Score Research Articles

C-reactive protein compared to procalcitonin in guiding of anti-microbial stoppage in patients with septic shock

BackgroundOne of the greatest and most effective strategies to decrease the likelihood of discovering antibiotic-resistant bacteria in patients receiving critical care is to shorten the duration of antibiotic therapy.ObjectivesTo assess the utility of procalcitonin compared to traditional inflammation markers like C-reactive protein in an antimicrobial stoppage in patients with septic shock.MethodsThis was a comparative, prospective, randomized, observer-blind clinical experiment conducted on 60 septic patients hospitalized in intensive care units at Benha University hospitals between May 2021 and May 2022. Groups for PCT and CRP patients were separated. The full clinical history, co-morbidities that were related, and patient history were recorded. The baseline PCT and CRP values were determined on days 4, 7, 10, and 14. They were contrasted with sepsis ratings obtained from the Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Sepsis-related Organ Failure Assessment (SOFA). Days 4, 7, and 10 were used to evaluate the antibiotic's efficacy.ResultsThere was no correlation between CRP levels and APACHE II and SOFA scores on days 1, 4, and 7, but on days 7 and 10, PCT levels were strongly linked with both (P < 0.05). PCT was linked to lower antibacterial exposure (23.3% of PCT participants ceased taking antibiotics on day 4, compared to 6.6% of CRP participants; P = 0.07). After 10 days, 30% of the PCT group and 70% of the CRP group kept up their antimicrobial regimen (P = 0.0001).ConclusionProcalcitonin dramatically reduced the duration of antimicrobial treatment. Procalcitonin use has reduced hospital expenses, complications of extended hospital stay, side effects of excessive antibiotic use, and hence, the mortality rate in septic patients.

Impact of Abnormal Ankle Brachial Index on Sepsis Survival: One-Year Prospective Study Results.

Lower extremity peripheral artery disease (LE-PAD) has been linked to unfavorable cardiovascular outcomes. The impact of potentially undiagnosed LE-PAD, suspected by abnormal ankle-brachial index (ABI), on the survival of sepsis patients admitted to the intensive care unit (ICU) remains uncertain. We conducted a prospective cohort study and recruited adult patients admitted to the ICU with a primary diagnosis of sepsis (defined by a quick Sepsis-Related Organ Failure Assessment score of ≥ 2) between November 23, 2017 and July 22, 2018. ABI measurements were obtained within 24 hours of admission. The study compared the 30-day and 1-year all-cause mortality rates as well as the incidence of major adverse cardiovascular events (MACEs) between the groups with normal and abnormal ABI values. Of the 102 sepsis patients admitted to the ICU, 38 (37%) were diagnosed with LE-PAD based on their ABI measurements. The overall 30-day mortality rate was 30.0% in patients with LE-PAD and 25.8% in those with normal ABI (p = 0.56). At 1 year, the overall mortality rate was 52.6% in the patients with abnormal ABI and 40.6% in those with normal ABI (p = 0.24). Additionally, the incidence of MACEs was significantly higher in the patients with abnormal ABI compared to those with normal ABI at 1-year follow-up (21.1% vs. 3.1%, respectively; p = 0.003). The patients with abnormal ABI had a higher incidence of MACEs within one year following hospital discharge. Future studies are needed to improve cardiovascular outcomes among sepsis survivors (ClinicalTrials.gov number, NCT03372330).

Clinical outcomes and safety of remdesivir in hospitalized individuals with COVID-19, with or without severe renal impairment

BackgroundThe use of remdesivir in patients with coronavirus disease 2019 (COVID-19) and severe renal impairment has been approved; however, limited clinical data exist. Accordingly, we aimed to compare outcomes and adverse events associated with remdesivir in hospitalized patients with COVID-19, with and without severe renal impairment. MethodsHospitalized patients with COVID-19 undergoing a 5-day remdesivir course at Taipei Veterans General Hospital from April 1 to July 31, 2022, were enrolled. Comparative analysis of outcomes and safety between patients with or without severe renal impairment (estimated glomerular filtration rate of < 30 mL/min per 1.73 m2) were conducted. Prognostic factors associated with 28-day mortality in patients with severe renal impairment were investigated using logistic regression analysis. ResultsA total of 671 hospitalized patients, including 132 patients with severe renal impairment, who received a 5-day course of remdesivir were analyzed. The 28-day mortality was higher in patients with severe renal impairment than in patients without severe renal impairment (15.2% vs. 7.8%). The proportion of patients with acute kidney injury (AKI) and deteriorated liver function after completing remdesivir therapy was similar between the patients with and without severe renal impairment, and the recovery rate of AKI was similar in both groups. The sequential organ failure assessment score was an independent factor associated with 28-day mortality in patients with severe renal impairment. ConclusionsRemdesivir was well-tolerated in hospitalized patients with COVID-19, regardless of renal function. Our findings support the recent recommendation to administer remdesivir in patients with severe renal impairment.

Elevations in presepsin, PCT, hs-CRP, and IL-6 levels predict mortality among septic patients in the ICU.

This study aimed to investigate whether changes in presepsin, procalcitonin, high-sensitivity C-reactive protein, and interleukin 6 levels predict mortality in septic patients in the intensive care unit. This study enrolled septic patients between November 2020 and December 2021. Levels of presepsin, procalcitonin, high-sensitivity C-reactive protein, and interleukin 6 were measured on the first (PSEP_0, PCT_0, hsCRP_0, IL-6_0) and third days (PSEP_3, PCT_3, hsCRP_3, IL-6_3). Follow-up was performed on days 3, 7, 14, 21, and 28 after enrollment. The outcome was all-cause death. The study included 119 participants, and the mortality was 18.5%. In univariable Cox proportional hazards regression analysis, ΔPSEP (= PSEP_3 - PSEP_0) > 211.49 pg/mL (hazard ratio, 2.70; 95% confidence interval, 1.17-6.22), ΔPCT (= PCT_3 - PCT_0) > -0.13 ng/mL (hazard ratio, 7.31; 95% confidence interval, 2.68-19.80), ΔhsCRP (= hsCRP_3 - hsCRP_0) > -19.29 mg/L (hazard ratio, 6.89; 95% confidence interval, 1.61-29.40), and ΔIL-6 (= IL-6_3 - IL-6_0) > 1.00 pg/mL (hazard ratio, 3.13; 95% confidence interval, 1.35-7.24) indicated an increased risk of mortality. The composite concordance index for alterations in all 4 distinct biomarkers was highest (concordance index, 0.83; 95% confidence interval, 0.76-0.91), suggesting the optimal performance of this panel in mortality prediction. In decision curve analysis, compared with the Acute Physiology and Chronic Health Evaluation II and Sequential (sepsis-related) Organ Failure Assessment scores, the combination of the 4 biomarkers had a larger net benefit. Interestingly, interleukin 6 was predominantly produced by monocytes upon lipopolysaccharide stimulation in peripheral blood mononuclear cells. ΔPSEP, ΔPCT, ΔhsCRP, and ΔIL-6 are reliable biomarkers for predicting mortality in septic patients in the intensive care unit, and their combination has the best performance.

The Combination of Systemic Immune-Inflammation Index and Serum Procalcitonin has High Auxiliary Predictive Value for Short-Term Adverse Prognosis in Septic Shock Patients

BackgroundSeptic shock is the most serious complication of sepsis, with more secure and efficient biomarkers urgently needed. Systemic immune-inflammation index (SII) and serum procalcitonin (PCT) show involvement in predicting septic shock prognosis. ObjectiveHerein, we explored the clinical value of the SII-PCT combination in the short-term prognosis of septic shock patients. MethodsTotally 200 septic shock patients were analyzed retrospectively and allocated into the survival and death groups upon 28-day in-hospital outcomes. Correlations of SII, PCT, acute physiology and chronic health evaluation II (APACHE II)/sepsis-related organ failure assessment (SOFA) scores, C-reactive protein (CRP), and serum creatinine (Scr) were analyzed using Spearman. The influencing factors of SII and serum PCT for short-term poor prognosis were analyzed using logistic multivariate regression model. The auxiliary predictive value of SII, PCT, and their combination for short-term adverse septic shock prognosis was evaluated by the receiver operating characteristic curve. Differences in the area under the curve (AUC) were compared using MedCalc. ResultsThe death group had higher APACHE II/SOFA scores, LYM, CRP, Scr, SII, and PCT levels than the survival group. SII and PCT were positively correlated with APACHE II and SOFA scores, LYM, CRP, and Scr, and were independent risk factors influencing the adverse septic shock prognosis. The AUC of the SII-PCT combination in predicting short-term adverse septic shock prognosis was 0.893 (0.841-0.932), with 76.12% sensitivity and 87.97% specificity, with the combination showing a higher AUC than SII/PCT alone. ConclusionsThe SII-PCT combination helps predict the adverse prognosis of septic shock patients.

Early Identification of Sepsis-Induced Acute Kidney Injury by Using Monocyte Distribution Width, Red-Blood-Cell Distribution, and Neutrophil-to-Lymphocyte Ratio.

Sepsis-induced acute kidney injury (AKI) is a common complication in patients with severe illness and leads to increased risks of mortality and chronic kidney disease. We investigated the association between monocyte distribution width (MDW), red-blood-cell volume distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), sepsis-related organ-failure assessment (SOFA) score, mean arterial pressure (MAP), and other risk factors and sepsis-induced AKI in patients presenting to the emergency department (ED). This retrospective study, spanning 1 January 2020, to 30 November 2020, was conducted at a university-affiliated teaching hospital. Patients meeting the Sepsis-2 consensus criteria upon presentation to our ED were categorized into sepsis-induced AKI and non-AKI groups. Clinical parameters (i.e., initial SOFA score and MAP) and laboratory markers (i.e., MDW, RDW, and NLR) were measured upon ED admission. A logistic regression model was developed, with sepsis-induced AKI as the dependent variable and laboratory parameters as independent variables. Three multivariable logistic regression models were constructed. In Model 1, MDW, initial SOFA score, and MAP exhibited significant associations with sepsis-induced AKI (area under the curve [AUC]: 0.728, 95% confidence interval [CI]: 0.668-0.789). In Model 2, RDW, initial SOFA score, and MAP were significantly correlated with sepsis-induced AKI (AUC: 0.712, 95% CI: 0.651-0.774). In Model 3, NLR, initial SOFA score, and MAP were significantly correlated with sepsis-induced AKI (AUC: 0.719, 95% CI: 0.658-0.780). Our novel models, integrating MDW, RDW, and NLR with initial SOFA score and MAP, can assist with the identification of sepsis-induced AKI among patients with sepsis presenting to the ED.

Assessment of a novel BLOOMY score for predicting mortality in hospitalised adults with bloodstream infection

PurposeA German multicentre study BLOOMY was the first to use machine learning approach to develop mortality prediction scores for bloodstream infection (BSI) patients, but the scores have not been assessed in other cohorts. Our aim was to assess how the BLOOMY 14-day and 6-month scores estimate mortality in our cohort of 497 cases with BSI.MethodsClinical data, laboratory data, and patient outcome were gathered retrospectively from patient records. The scores were calculated as presented in the BLOOMY study with the exception in the day of the evaluation.ResultsIn our cohort, BLOOMY 14-day score estimated death by day 14 with an area under curve (AUC) of 0.87 (95% Confidence Interval 0.80–0.94). Using ≥ 6 points as a cutoff, sensitivity was 68.8%, specificity 88.1%, positive predictive value (PPV) 39.3%, and negative predictive value (NPV) 96.2%. These results were similar in the original BLOOMY cohort and outweighed both quick Sepsis-Related Organ Failure Assessment (AUC 0.76) and Pitt Bacteraemia Score (AUC 0.79) in our cohort. BLOOMY 6-month score to estimate 6-month mortality had an AUC of 0.79 (0.73–0.85). Using ≥ 6 points as a cutoff, sensitivity was 98.3%, specificity 10.7%, PPV 25.7%, and NPV 95.2%. AUCs of 6-month score to estimate 1-year and 5-year mortality were 0.80 (0.74–0.85) and 0.77 (0.73–0.82), respectively.ConclusionThe BLOOMY 14-day and 6-month scores performed well in the estimations of mortality in our cohort and exceeded some established scores, but their adoption in clinical work remains to be seen.

Association between serum creatinine to albumin ratio and short- and long-term all-cause mortality in patients with acute pancreatitis admitted to the intensive care unit: a retrospective analysis based on the MIMIC-IV database.

Serum creatinine (Cr) and albumin (Alb) are important predictors of mortality in individuals with various diseases, including acute pancreatitis (AP). However, most previous studies have only examined the relationship between single Cr or Alb levels and the prognosis of patients with AP. To our knowledge, the association between short- and long-term all-cause mortality in patients with AP and the blood creatinine to albumin ratio (CAR) has not been investigated. Therefore, this study aimed to evaluate the short- and long-term relationships between CAR and all-cause mortality in patients with AP. We conducted a retrospective study utilizing data from the Medical Information Market for Intensive Care (MIMIC-IV) database. The study involved analyzing various mortality variables and obtaining CAR values at the time of admission. The X-tile software was used to determine the optimal threshold for the CAR. Kaplan-Meier (K-M) survival curves and multivariate Cox proportional hazards regression models were used to assess the relationship between CAR and both short- and long-term all-cause mortality. The predictive power, sensitivity, specificity, and area under the curve (AUC) of CAR for short- and long-term mortality in patients with AP after hospital admission were investigated using Receiver Operating Characteristic analysis. Additionally, subgroup analyses were conducted. A total of 520 participants were included in this study. The CAR ideal threshold, determined by X-tile software, was 0.446. The Cox proportional hazards model revealed an independent association between CAR≥0.446 and all-cause mortality at 7-day (d), 14-d, 21-d, 28-d, 90-d, and 1-year (y) before and after adjustment for confounders. K-M survival curves showed that patients with CAR≥0.446 had lower survival rates at 7-d, 14-d, 21-d, 28-d, 90-d, and 1-y. Additionally, CAR demonstrated superior performance, with higher AUC values than Cr, Alb, serum total calcium, Glasgow Coma Scale, Systemic Inflammatory Response Syndrome score, and Sepsis-related Organ Failure Assessment score at 7-d, 14-d, 21-d, 28-d, 90-d, and 1-y intervals. Subgroup analyses showed that CAR did not interact with a majority of subgroups. The CAR can serve as an independent predictor for short- and long-term all-cause mortality in patients with AP. This study enhances our understanding of the association between serum-based biomarkers and the prognosis of patients with AP.

A comparison of Simplified Acute Physiology Score II and Sepsis-related Organ Failure Assessment Score for prediction of mortality after Intensive Care Unit cardiac arrest.

This study investigates the predictive value and suitable cutoff values of the Sepsis-related Organ Failure Assessment Score (SOFA) and Simplified Acute Physiology Score II (SAPS-II) to predict mortality during or after Intensive Care Unit Cardiac Arrest (ICU-CA). In this secondary analysis the ICU database of a German university hospital with five ICU was screened for all ICU-CA between 2016-2019. SOFA and SAPS-II were used for prediction of mortality during ICU-CA, hospital-stay and one-year-mortality. Receiver operating characteristic curves (ROC), area under the ROC (AUROC) and its confidence intervals were calculated. If the AUROC was significant and considered "acceptable," cutoff values were determined for SOFA and SAPS-II by Youden Index. Odds ratios and sensitivity, specificity, positive and negative predictive values were calculated for the cutoff values. A total of 114 (78 male; mean age: 72.8±12.5 years) ICU-CA were observed out of 14,264 ICU-admissions (incidence: 0.8%; 95% CI: 0.7-1.0%). 29.8% (N.=34; 95% CI: 21.6-39.1%) died during ICU-CA. SOFA and SAPS-II were not predictive for mortality during ICU-CA (P>0.05). Hospital-mortality was 78.1% (N.=89; 95% CI: 69.3-85.3%). SAPS-II (recorded within 24 hours before and after ICU-CA) indicated a better discrimination between survival and death during hospital stay than SOFA (AUROC: 0.81 [95% CI: 0.70-0.92] vs. 0.70 [95% CI: 0.58-0.83]). A SAPS-II-cutoff-value of 43.5 seems to be suitable for prognosis of hospital mortality after ICU-CA (specificity: 87.5%, sensitivity: 65.6%; SAPS-II>43.5: 87.5% died in hospital; SAPS-II<43.5: 65.6% survived; odds ratio:13.4 [95% CI: 3.25-54.9]). Also for 1-year-mortality (89.5%; 95% CI: 82.3-94.4) SAPS-II showed a better discrimination between survival and death than SOFA: AUROC: 0.78 (95% CI: 0.65-0.91) vs. 0.69 (95% CI: 0.52-0.87) with a cutoff value of the SAPS-II of 40.5 (specificity: 91.7%, sensitivity: 64.3%; SAPS-II>40.5: 96.4% died; SAPS-II<40.5: 42.3% survived; odd ratio: 19.8 [95% CI: 2.3-168.7]). Compared to SOFA, SAPS-II seems to be more suitable for prediction of hospital and 1-year-mortality after ICU-CA.

Comparison of mortality and outcomes of four respiratory viruses in the intensive care unit: a multicenter retrospective study

This retrospective study aimed to compare the mortality and burden of respiratory syncytial virus (RSV group), SARS-CoV-2 (COVID-19 group), non-H1N1 (Seasonal influenza group) and H1N1 influenza (H1N1 group) in adult patients admitted to intensive care unit (ICU) with respiratory failure. A total of 807 patients were included. Mortality was compared between the four following groups: RSV, COVID-19, seasonal influenza, and H1N1 groups. Patients in the RSV group had significantly more comorbidities than the other patients. At admission, patients in the COVID-19 group were significantly less severe than the others according to the simplified acute physiology score-2 (SAPS-II) and sepsis-related organ failure assessment (SOFA) scores. Using competing risk regression, COVID-19 (sHR = 1.61; 95% CI 1.10; 2.36) and H1N1 (sHR = 1.87; 95% CI 1.20; 2.93) were associated with a statistically significant higher mortality while seasonal influenza was not (sHR = 0.93; 95% CI 0.65; 1.31), when compared to RSV. Despite occurring in more severe patients, RSV and seasonal influenza group appear to be associated with a more favorable outcome than COVID-19 and H1N1 groups.

Effect of neutrophil to lymphocyte ratio on prognosis of elderly patients with severe sepsis combined with diabetes mellitus

BackgroundTo investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR) in the short-term prognosis of elderly patients with severe sepsis combined with diabetes mellitus (DM).MethodsThe clinical data of 162 elderly patients with severe sepsis combined with DM from January 2018 to December 2022 were retrospectively collected. These patients were divided into a survival group (n = 104) and a death group (n = 58) according to 90-day prognosis. The number of neutrophils, lymphocytes, and NLR were compared. The optimal cut-off value for NLR to predict 90-day prognosis in elderly patients with severe sepsis combined with DM was determined using Receiver Operator Characteristic (ROC) curves, and the patients were divided into high and low NLR groups depending on the optimal cut-off value. The Kaplan-Meier method was used to plot the survival curves of the high and low NLR groups. Risk factors for the 90-day death in elderly patients with severe sepsis combined with DM were analyzed by a multivariate cox regression model.ResultsThere were no significant differences in gender, age, history of hypertension and hyperlipidemia, intensive care unit (ICU) stay, duration of mechanical ventilation, and oxygenation index between the survival group and death group (p > 0.05). However, acute physiological and chronic health evaluation II (APACHE II) scores, and sepsis-related organ failure assessment (SOFA) scores were significantly lower in the survival group compared with the death group (p < 0.05). In the survival group, neutrophils counts and NLR were much lower than those in the death group, while lymphocytes counts were much higher (p < 0.05). ROC curves showed that the optimal cut-off value for NLR to predict 90-day mortality in elderly patients with severe sepsis combined with DM was 3.482. Patients were divided into high NLR and low NLR groups based on whether NLR was ≥ 3.482. In terms of the log-rank test results, patients in the low NLR group had a significantly higher 90-day survival rate than those in the high NLR group (Logrank χ2 = 8.635, p = 0.003). The multivariate cox regression model showed that the length of ICU stay longer than 15 days and NLR ≥ 3.482 were independent risk factors for 90-day prognosis in elderly patients with severe sepsis combined with DM.ConclusionNLR ≥ 3.482 can be used to predict whether poor prognosis occurs in the short term after illness in elderly patients with severe sepsis combined with DM, and has good assessment value.

Construction and evaluation of short-term and long-term mortality risk prediction model for patients with sepsis based on MIMIC-IV database.

Given the high incidence and mortality rate of sepsis, early identification of high-risk patients and timely intervention are crucial. However, existing mortality risk prediction models still have shortcomings in terms of operation, applicability, and evaluation on long-term prognosis. This study aims to investigate the risk factors for death in patients with sepsis, and to construct the prediction model of short-term and long-term mortality risk. Patients meeting sepsis 3.0 diagnostic criteria were selected from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and randomly divided into a modeling group and a validation group at a ratio of 7꞉3. Baseline data of patients were analyzed. Univariate Cox regression analysis and full subset regression were used to determine the risk factors of death in patients with sepsis and to screen out the variables to construct the prediction model. The time-dependent area under the curve (AUC), calibration curve, and decision curve were used to evaluate the differentiation, calibration, and clinical practicability of the model. A total of 14 240 patients with sepsis were included in our study. The 28-day and 1-year mortality were 21.45% (3 054 cases) and 36.50% (5 198 cases), respectively. Advanced age, female, high sepsis-related organ failure assessment (SOFA) score, high simplified acute physiology score II (SAPS II), rapid heart rate, rapid respiratory rate, septic shock, congestive heart failure, chronic obstructive pulmonary disease, liver disease, kidney disease, diabetes, malignant tumor, high white blood cell count (WBC), long prothrombin time (PT), and high serum creatinine (SCr) levels were all risk factors for sepsis death (all P<0.05). Eight variables, including PT, respiratory rate, body temperature, malignant tumor, liver disease, septic shock, SAPS II, and age were used to construct the model. The AUCs for 28-day and 1-year survival were 0.717 (95% CI 0.710 to 0.724) and 0.716 (95% CI 0.707 to 0.725), respectively. The calibration curve and decision curve showed that the model had good calibration degree and clinical application value. The short-term and long-term mortality risk prediction models of patients with sepsis based on the MIMIC-IV database have good recognition ability and certain clinical reference significance for prognostic risk assessment and intervention treatment of patients.

The use of muscle ultrasound to detect critical illness myopathy in patients with sepsis: an observational cohort study

BackgroundCritical illness myopathy (CIM) has negative impact on patient outcomes. We aimed to explore the diagnostic value of bedside ultrasonography for early identification of CIM in septic patients and its correlation with other diagnostic methods. This prospective observational study included 40 ICU patients diagnosed with sepsis on admission or within 48 h later according to the third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). They were evaluated using muscle ultrasound, electrodiagnostic and clinical muscle assessment (Medical Research Council, MRC) at two time points, the first was between days 2 and 5 and the second was between days 10 and 15.ResultsThere was significant deterioration of neuromuscular function between the two evaluation points demonstrated by decline in MRC, abnormal nerve conduction and electromyography (EMG) and increased muscle echogenicity on ultrasonography (P ≤ 0.001). Sepsis-Related Organ Failure Assessment (SOFA) score significantly correlated with different neuromuscular assessment tools. MRC had significant correlation with myopathic EMG (P ≤ 0.001, r = − 0.869) and increased muscle echogenicity (P ≤ 0.001, r = − 0.715). Abnormal ultrasonographic muscle architecture had sensitivity of 100%, specificity of 75% and positive likelihood ratio of 4 in detecting muscle dysfunction compared to myopathic EMG.ConclusionsBedside peripheral muscle ultrasound echogenicity grade could be used as an additional screening test in ICU septic patients for early detection of CIM.

Septic cardiomyopathy-diagnosis and estimation of disease severity

The relevance of septic cardiomyopathy is frequently underestimated due to the complexity of the pattern of cardiac injury and the corresponding difficulties in quantifying the degree of functional impairment. Account of the methods for diagnosis and severity classification of septic cardiomyopathy. Literature review and analysis of the main findings. Septic cardiomyopathy is characterized by both systolic and diastolic impairment of not only the left, but also the right ventricle, as well as by sinus-tachycardiomyopathy (≥ 90-95beats/min) of variable degree. Sepsis-related organ failure assessment (SOFA) score, left ventricular ejection fraction (LVEF), ECG and cardiac biomarkers do not help in grading severity of septic cardiomyopathy. For that purpose either asophisticated echocardiography diagnosis is mandatory, or the measurement of those global heart function parameters which take into account the dependency of cardiac output on afterload, in view of the pronounced vasodilatation in sepsis and septic shock, is needed. Asuitable parameter on the basis of cardiac output measurement is afterload-related cardiac performance (ACP), which gives the percentage of cardiac output in aseptic patient related to the cardiac output ahealthy heart pumps when challenged by afall in systemic vascular resistance to the same extent. The calculation of ACP shows that at least one in two septic patients suffers from impaired heart function and that mortality increases as severity increases. Simple parameters like LVEF are not apt for diagnosis nor for disease severity classification of septic cardiomyopathy. For that purpose either sophisticated echocardiography techniques or load-independent parameters-best validated-ACP measurements are appropriate.

Biomarkers Improve Diagnostics of Sepsis in Adult Patients With Suspected Organ Dysfunction Based on the Quick Sepsis-Related Organ Failure Assessment (qSOFA) Score in the Emergency Department.

Consensus regarding biomarkers for detection of infection-related organ dysfunction in the emergency department is lacking. We aimed to identify and validate biomarkers that could improve risk prediction for overt or incipient organ dysfunction when added to quick Sepsis-related Organ Failure Assessment (qSOFA) as a screening tool. In a large prospective multicenter cohort of adult patients presenting to the emergency department with a qSOFA score greater than or equal to 1, admission plasma levels of C-reactive protein, procalcitonin, adrenomedullin (either bioavailable adrenomedullin or midregional fragment of proadrenomedullin), proenkephalin, and dipeptidyl peptidase 3 were assessed. Least absolute shrinkage and selection operator regression was applied to assess the impact of these biomarkers alone or in combination to detect the primary endpoint of prediction of sepsis within 96 hours of admission. Three tertiary emergency departments at German University Hospitals (Jena University Hospital and two sites of the Charité University Hospital, Berlin). One thousand four hundred seventy-seven adult patients presenting with suspected organ dysfunction based on qSOFA score greater than or equal to 1. None. The cohort was of moderate severity with 81% presenting with qSOFA = 1; 29.2% of these patients developed sepsis. Procalcitonin outperformed all other biomarkers regarding the primary endpoint (area under the curve for receiver operating characteristic [AUC-ROC], 0.86 [0.79-0.93]). Adding other biomarkers failed to further improve the AUC-ROC for the primary endpoint; however, they improved the model regarding several secondary endpoints, such as mortality, need for vasopressors, or dialysis. Addition of procalcitonin with a cutoff level of 0.25 ng/mL improved net (re)classification by 35.2% compared with qSOFA alone, with positive and negative predictive values of 60.7% and 88.7%, respectively. Biomarkers of infection and organ dysfunction, most notably procalcitonin, substantially improve early prediction of sepsis with added value to qSOFA alone as a simple screening tool on emergency department admission.

Therapeutic Role of HAT Therapy in Sepsis: A Systematic Review and Meta-Analysis.

This systematic review and meta-analysis aimed to determine whether the combination of hydrocortisone, vitamin C (ascorbic acid), and thiamine (HAT therapy) diminishes the mortality and is effective in expediting the resolution of sepsis and septic shock or not. The following databases of PubMed, Scopus, ISI Web of Science, and Google Scholar were explored until March 2021 for all existing literature related to this field. An automatic alert for all databases was also activated to update our search. Meta-analysis was performed on clinical trials and cohorts separately as well as on all the pooled populations. This study evaluated nine clinical trials (1358 participants) and nine cohorts (339,437 participants) and is the most comprehensive systematic review in this field. The results of our meta-analysis demonstrated a significant difference in the reduction of Sepsis-Related Organ Failure Assessment (SOFA) score changes (Δ-SOFA) over 72 h (Standard Mean Difference (SMD) = -0.429; 95% CI: -0.737, 0.120; P = 0.006), duration of vasopressor (VP) (SMD = -0.373; 95% CI: -0.619, -0.128; P = 0.003), and procalcitonin (PCT) clearance (SMD = 0.496; 95% CI: 0.061, 0.931%; P = 0.026). Considering the results of cohorts, HAT therapy was effective in the survival of intensive care units (ICUs) patients (OR = 0.641; 95% CI: 0.423-0.970, P = 0.035). However, no significant difference was observed between the intervention and control groups in hospital mortality (Odds Ratio (OR) = 0.811, 95% CI: 0.544-1.209, P = 0.304), 28- to 30-day mortality (OR = 1.000; 95% CI: 0.782-1.279, P = 0.998), new onset acute kidney injury requiring renal replacement therapy ((OR = 0.856, 95% CI: 0.526, 1.391; P = 0.529), in-hospital length of stay (LOS) (SMD = 0.090; 95% CI: -0.036, 0.216 days; P = 0.162), LOS in ICU (SMD = 0.016, 95% CI: -0.138, 0.170 days; P = 0.838), and mechanical ventilation-free days (SMD = 0.004; 95% CI: -0.154, 0.163 days; P = 0.956). Supplementation of septic and septic shock patients with HAT therapy has significant beneficial effects on SOFA score over 72 hours, duration of exogenous vasopressor infusion and procalcitonin clearance. Considering the results of cohort studies, supplementation with HAT is efficacious in reducing ICU mortality.

Comparison of early warning and sepsis scores for mortality prediction in patients with suspected infection admitted to medical intensive care units

Aims: To compare the mortality prediction efficiency of the Modified Early Warning Score (MEWS), Systemic Inflammatory Response Syndrome (SIRS), Sepsis Related Organ Failure Assessment (SOFA), and Quick Sepsis Related Organ Failure Assessment (qSOFA) calculated within 48 hours before ICU admission. Methods: A prospective, noninterventional, observational cohort study enrolled adult patients admitted to medical intensive care units (ICU) with suspected infection in a tertiary care medical center. MEWS SIRS, SOFA, and qSOFA scores were calculated at four different time points: 48, 24, and 8 hours before and at the time of the ICU admission (0. hour). The scores were analyzed for hospital mortality. Results: A total of 120 patients were included. The median age was 68 (IQR 59.8-79) years, and 44.2% of patients were male. Of the study population, 75.8% were admitted to the medical ICU from the emergency department, while the remaining were from the medical wards. Considering the scores observed 48 hours before ICU admission, Odds Ratio (OR) of SIRS≥2 and SOFA≥2 showed a value of 7.6 (95% CI: 1.5-38.0) and 13.2 (95% CI: 2.3-74.3), respectively, while no increase in risk was observed for MEWS and the qSOFA score. Receiver operating characteristic analysis (ROC) performed with the highest scores observed at any time within 48 hours before ICU admission (ICU admission values were omitted) regarding hospital mortality yielded area under the curve (AUC) values (95% CI) of 0.80 (0.72-0.89) for SOFA, 0.66 (0.54-0.76) for MEWS, 0.63 (0.51-0.74) for qSOFA, and 0.61 (0.49-0.73) for SIRS. SOFA had the highest sensitivity of 92.6% (82.7-100.0), whereas qSOFA had the highest specificity of 63.0% (49.1-77.0) for hospital mortality. Conclusion: SOFA score is the most sensitive scoring system to predict hospital mortality in patients admitted to the medical ICU with suspected infection compared to MEWS, SIRS, and qSOFA. Nevertheless, the sepsis and early warning scores should be combined in clinical practice whenever possible.

Predictive value of white blood cell to hemoglobin ratio for 30-day mortality in patients with severe intracerebral hemorrhage.

To explore the predictive value of white blood cell to hemoglobin ratio (WHR) for 30-day mortality in patients with intracerebral hemorrhage (ICH). In this cohort study, 2,848 patients with ICH were identified in the Medical Information Mart for Intensive Care (MIMIC)-III and MIMIC-IV. Least absolute shrinkage and selection operator (LASSO) regression screened covariates of 30-day mortality of ICH patients. COX regression analysis was used to study the association of different levels of WHR, white blood cell (WBC), and hemoglobin (Hb) with 30-day mortality. The median follow-up time was 30 (20.28, 30.00) days. In total, 2,068 participants survived at the end of the follow-up. WHR was negatively correlated with the Glasgow Coma Score (GCS) (spearman correlation coefficient = -0.143, p < 0.001), and positively associated with the Sepsis-related Organ Failure Assessment (SOFA) score (spearman correlation coefficient = 0.156, p < 0.001), quick SOFA (qSOFA) score (spearman correlation coefficient = 0.156, p < 0.001), and Simplified Acute Physiology Score II (SAPS-II) (spearman correlation coefficient = 0.213, p < 0.001). After adjusting for confounders, WHR >0.833 (HR = 1.64, 95%CI: 1.39-1.92) and WBC >10.9 K/uL (HR = 1.49, 95%CI: 1.28-1.73) were associated with increased risk of 30-day mortality of patients with ICH. The area under the curve (AUC) value of the prediction model based on WHR and other predictors was 0.78 (95%CI: 0.77-0.79), which was higher than SAPSII (AUC = 0.75, 95%CI: 0.74-0.76), SOFA score (AUC = 0.69, 95%CI: 0.68-0.70) and GCS (AUC = 0.59, 95%CI: 0.57-0.60). The level of WHR was associated with 30-day mortality in patients with severe ICH, and the WHR-based prediction model might provide a tool to quickly predict 30-day mortality in patients with ICH.

Venetoclax and hypomethylating agents in critically ill patients with newly diagnosed acute myeloid leukaemia.

Venetoclax (VEN) in combination with hypomethylating agents (HMAs) is considered the standard of treatment for individuals with newly diagnosed acute myeloid leukaemia (AML) who are ineligible for intensive chemotherapy. We conducted a retrospective analysis that encompassed 16 critically ill patients newly diagnosed with AML who were admitted to the intensive care unit (ICU) and received the VEN and HMA regimen. Among them, 13 were primary AML, and three were MDS-transformed AML. The mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score was 18.9, and the mean sepsis-related organ failure assessment score (SOFA) was 6.2. The average length of the ICU stay was 27.3 days. The median duration of VEN administration was 16 days. After the first course of VEN + HMA, 12 cases (75%) achieved complete remission (CR) or CR with incomplete haematological recovery (CRi). Among the five patients harbouring TP53 mutations, the overall response rate (ORR) was 90%. All patients experienced grade 3-4 haematological adverse events (AEs). With a median follow-up of 9.5 months (range: 0.5-23), the overall survival (OS) rate was 43.75%. TP53-wild patients and CR state after the first course of VEN-HMA indicated better survival. The combination of VEN and HMA has demonstrated a significantly elevated therapeutic response rate in newly diagnosed AML patients with critical illness.

Study on red blood cell distribution width in children with severe Mycoplasma pneumoniae pneumonia.

Background: This study aimed to investigate the clinical value of the red blood cell distribution width (RDW) in severe Mycoplasma pneumoniae pneumonia (MPP). Methods: A total of 185 children with diagnosed severe MPP were included. The patients' case records and laboratory examination data were analyzed retrospectively. The children were grouped into quartiles based on RDW. Results: Univariate analysis revealed that RDW was significantly correlated with the Pediatric Risk of Mortality (PRISM) III score, Sepsis-Related Organ Failure Assessment score, incidence of invasive intubation and 30-day in-hospital mortality. After adjustment for the severity of illness, multivariate analysis revealed that the PRISM III score and RDW were factors independently associated with 30-day in-hospital mortality. Conclusion: This study revealed that RDW could be correlated with the long-term prognosis and severity of severe MPP.