Simplified Acute Physiology Score Research Articles

Correlation of the triglyceride-glucose index and heart rate with 28-day all-cause mortality in severely ill patients: analysis of the MIMIC-IV database

BackgroundResearch has identified a link between the triglyceride-glucose index (TyG-i) and the risk of mortality in severely ill patients. However, it remains uncertain if the TyG-i affects mortality by influencing heart rate (HR).MethodsThis study enrolled 3,509 severely ill participants from the Medical Information Mart for Intensive Care (MIMIC-IV) database who had triglyceride, glucose, and HR data upon entering the ICU. Cox regression models were applied to estimate the effect of the TyG-i and HR on 28-day all-cause mortality (ACM) and 28-day in-hospital mortality (IHM). Additionally, Kaplan-Meier (K-M) survival analysis was employed to explore outcome variations among different patient groups. The association of the TyG-i with HR, Sequential Organ Failure Assessment (SOFA) score, and Simplified Acute Physiology Score (SAPS) II was explored through linear regression analysis. Subgroup analysis explored potential interactions among patient characteristics, while sensitivity analysis gauged the robustness of the findings. Additionally, mediation analysis was conducted to assess whether elevated HR acts as an intermediary factor linking the TyG-i to both 28-day ACM and 28-day IHM.ResultsDuring the 28-day follow-up, 586 cases (16.7%) died from all causes, and 439 cases (12.5%) died during hospitalisation. Cox results showed that individuals with a heightened TyG-i and elevated HR had the highest 28-day ACM (Hazard Ratio 1.70, P-value below 0.001) and 28-day IHM (Hazard Ratio 1.72, P-value below 0.001) compared to those with a reduced TyG-i and HR. The K-M curves showed that individuals with low TyG-i and low HR had the lowest incidence of 28-day ACM and 28-day IHM. The linear analysis results evidenced that the TyG-i was independently connected to HR (beta = 3.05, P-value below 0.001), and the TyG-i was also independently associated with SOFA score (beta = 0.39, P-value below 0.001) and SAPS II (beta = 1.79, P-value below 0.001). Subgroup analysis revealed a significant association in participants without hypertension, the interaction of an elevated TyG-i and HR strongly correlated with a higher 28-day death risk (interaction P-value below 0.05). Furthermore, HR mediated 29.5% of the connection between the TyG-i and 28-day ACM (P-value = 0.002), as well as 20.4% of the connection between the TyG-i and 28-day IHM (P-value = 0.002).ConclusionFor severely ill patients, the TyG-i is distinctly correlated with HR, and elevated levels of both are strongly connected to greater 28-day ACM and 28-day IHM risks, especially in patients without hypertension. Furthermore, elevated HR mediates the connection between the TyG-i and 28-day mortality.

Broadening indications: A descriptive and comparative in-depth analysis of venovenous extracorporeal membrane oxygenation outcomes in trauma and nontrauma patients.

Venovenous extracorporeal membrane oxygenation (VV ECMO) has been used for medical etiologies of acute respiratory distress syndrome refractory to conventional management. More recently, VV ECMO has been used to stabilize trauma patients with acute lung injury. We hypothesize that patients with traumatic injuries requiring VV ECMO have similar survival outcomes and describe the characteristics between the two populations. This single-center, retrospective cohort study included all trauma and nontrauma patients in an 8-year period who were placed on VV ECMO. Cannulation decisions were made via multidisciplinary discussions between two intensivists and a trauma surgeon. Data were analyzed with descriptive statistics and regression analysis. After testing for normality, significance was defined as a p < 0.05. A total of 516 patients were identified (438 nontrauma and 78 trauma VV ECMO patients). The trauma patient, defined as undergoing cannulation during initial trauma admission, had a median age of 29 years with 81% of patients being male, while the nontrauma patient had a median age of 41 years with 64% being males. Trauma VV ECMO patients had shorter ECMO courses (216 hours vs. 372 hours, p < 0.001), earlier cannulation (8 hours vs. 120 hours, p < 0.001), higher lactic acid levels precannulation (4.2 mmol/L vs. 2.3 mmol/L, p < 0.001), higher Sequential Organ Failure Assessment scores (13 vs. 11, p = 0.001), and higher Simplified Acute Physiology Scores II (63 vs. 48, p < 0.001). There was no difference in bleeding complications. Survival to discharge rates were similar between trauma and nontrauma VV ECMO groups (69% vs. 71%, p = 0.81). This study demonstrates that trauma VV ECMO patients have higher markers of severe illness/injury when compared with their nontrauma VV ECMO counterparts yet have similar survival rates and shorter ECMO runs. Venovenous extracorporeal membrane oxygenation in trauma patients is a useful treatment modality for refractory hypoxemia, respiratory acidosis, and stabilization because of acute lung and thoracic injury. Therapeutic/Care Management; Level IV.

Outcomes of intra-aortic balloon pump in patients with advanced heart failure and cardiogenic shock undergoing heart transplantation

Abstract Background Intra-aortic balloon pump (IABP) is generally used as a short-term device to maintain adequate organ perfusion in patients with cardiogenic shock (CS). However, whether IABP improves clinical outcomes as a bridge therapy for heart transplant (HTx) remains controversial. Purpose Evaluate the survival rate 30 days after heart transplant (HTx) in patients with advanced heart failure (HF) and CS using IABP pre transplant compared to non-IABP group. Methods We retrospectively analyzed consecutive patients with advanced HF and CS, admitted in the cardiac intensive care unit (ICU) of a tertiary university center, between 2009 and 2020, who underwent HTx. Study group included patients submitted to IABP implantation before HTx, and a non-IABP group submitted to HTx without left ventricular mechanical support. Propensity Score Matching was used to pair the groups according to relevant clinical covariates. The primary outcome of survival rate 30 days after HTx was estimated by the Kaplan-Meier method. Results 326 were enrolled, 199 in IABP group and 127 in non-IABP group. For non-IABP and IABP group, respectively, the most frequent etiology was Chagas disease (29,9% and 47,2%, p=0,006) followed by idiopathic cardiomyopathy and ischemic cardiomyopathy, the majority of patients were male (63% and 61,3%, p=0,760), the mean age was 46,9 ± 14,4 and 46,5 ± 12 years (p=0,791) and mean left ventricular ejection fraction was 25,9 ± 9,5% and 23,5 ± 5,9% (p=0,010). The Simplified Acute Physiology Score 3 (SAPS 3) at ICU admission was compared in both groups, which was 36,8% ± 17,8% in non-IABP group and 32,6% ± 18,6% in IABP group (p=0,042). At 30 days after HTx, there was no statistical difference in overall survival (p=0,459) between the groups (IABP: 18,1% mortality; non-IABP: 14,2% mortality). Survival rate after HTx was also similar in patients with Chagas disease compared to the other etiologies in both study groups (IABP group: p=0,221; non-IABP group: p=0,421). Conclusion In patients with advanced HF and CS submitted to HTx, the survival rate 30 days after HTx was equivalent in the IABP and non-IABP groups. In patients with Chagas disease the survival was also similar compared to other etiologies in both groups.Characteristics according to groupsKaplan-Meier survival estimates

Isolation of Candida Species Is Associated with Comorbidities, Prolonged Mechanical Ventilation, and Treatment Outcomes in Surgical ICU Patients, a Cross-Sectional Study.

The isolation of Candida may be related to comorbidity, prolonged mechanical ventilation, and survival during intensive care unit (ICU) stay, especially with non-albicans Candida (NAC). To examine the frequency of Candida isolation, associated comorbidities and outcomes in the surgical ICU in Osijek University Hospital, Croatia, the data from the electronic database from May 2016 to 30 June 2023 were analyzed. In a cross-sectional study examining 15,790 microbiological samples, different strains of Candida were observed in 581 samples from 236 patients. The control group (N = 261) was 130 consecutive patients from March to May 2019 and 131 in the same months in 2020 (pre- and post-COVID-19). Comorbidities, duration of mechanical ventilation, and survival were compared. Patients with isolated Candida were more often non-elective and had significantly more heart, kidney, and liver diseases and sepsis than the control group (p < 0.001). The duration of mechanical ventilation was 9.2 [2.2-9.24], 96 [24-146], 160 [19.5-343], and 224 [73.5-510] hours in the controls, in patients with Candida albicans, in patients with NAC, and in patients with ≥2 Candida species isolated, respectively. The mortality was significantly higher (42%) in patients with isolated Candida than in the control group (19%, p < 0.001). In a multivariate analysis adjusted for patients' age, the Simplified Acute Physiology Score II, days of ICU, and type of admission, only sepsis on admission was an independent predictor of mortality (odds ratio = 2.27).

Identifying Patients at Increased Risk for Poor Outcomes Among Poor-Grade Aneurysmal Subarachnoid Hemorrhage Patients: The IPOGRO Risk Model.

A subarachnoid hemorrhage due to an aneurysmal rupture (aSAH) is a serious condition with severe neurological consequences. The World Federation of Neurosurgical Societies (WFNS) classification is a reliable predictor of death and long-term disability in patients with aSAH. Poor-grade neurological conditions on admission in aSAH (PG-aSAH) are often linked to high mortality rates and unfavorable outcomes. However, more than one-third of patients with PG-aSAH may recover and have good functional outcomes if aggressive treatment is provided. We developed a risk model called Identifying POor GRade Outcomes (IPOGRO) to predict 6-month mRS outcomes in PG-aSAH patients as a secondary analysis of a previously published study. All consecutive patients in poor-grade neurological conditions (WFNS IV-V) admitted to our institute from 2010 to 2020 due to aSAH were considered. Clinical and neuroradiological parameters were employed in the univariable analysis to evaluate the relationship with a 6-month modified Rankin Scale (mRS). Then, a multivariable multinomial regression model was performed to predict 6-month outcomes. 149 patients with PG-aSAH were included. Most patients were surgically treated, with only 33.6% being endovascularly treated. The 6-month mRS score was significantly associated with clinical parameters on admission, such as lowered Glasgow Coma Scale (GCS), leukocytosis, hyperglycemia, raised Systolic Blood Pressure (SBP), greater Simplified Acute Physiology Score (SAPS II score), increased initial serum Lactic Acid (LA) levels, and the need for Norepinephrine (NE) administration. Neuroradiological parameters on the initial CT scan showed a significant association with a worsening 6-month mRS. The IPOGRO risk model analysis showed an association between a WFNS V on admission and a poor outcome (mRS 4-5), while raised SBP was associated with mortality. Our IPOGRO risk model indicates that PG-aSAH patients with higher SBP at admission had an increased risk of death at 6-month follow-up, whereas patients with WFNS grade V at admission had an increased risk of poor outcome but not mortality.

Metabolic Profiles of Critically Ill COVID-19 Patients: A Comparative Analysis of Energy Expenditure.

Introduction and aims The COVID-19 pandemic has placed a significant burden on healthcare systems worldwide, especially in the management of critically ill patients. Accurate assessment of energy expenditure (EE) is crucial for providing optimal nutritional support and improving clinical outcomes in these patients. Indirect calorimetry (IC) is the preferred method for measuring EE, yet its use in critically ill COVID-19 patients has not been extensively documented. This study aims to evaluate EE in critically ill patients with and without COVID-19 to identify differences that may impact nutritional support strategies. Methods We conducted a retrospective observational study at a large tertiary university hospital, focusing on critically ill patients. The study compared calorimetry data between patients with and without COVID-19. Data collected included resting energy expenditure, energy expenditure per kilogram, and respiratory exchange rate quotient using IC. Statistical analysis was conducted using SPSS Version 28, with a significance level set at p < 0.05. Results The study included 95 critically ill patients, comprising 61 non-COVID-19 patients and 34 COVID-19 patients. It was found that COVID-19 patients had significantly lower Simplified Acute Physiology Score (SAPS) II compared to their non-COVID-19 counterparts. Although no significant differences in energy needs over time were detected between the two groups or within the COVID-19 group alone, there was a trend towards lower energy needs in COVID-19 patients. Significant differences were noted in respiratory quotient among COVID-19 patients, particularly between those with and without pulmonary thromboembolism, with the latter group exhibiting lower RQ values. Conclusion Our study suggests that while overall EE may not significantly differ between critically ill COVID-19 and non-COVID-19 patients, there are potential differences in substrate use that underline the necessity for individualized nutritional support. These findings highlight the importance of tailoring nutritional interventions to meet the specific needs of critically ill patients, particularly those with COVID-19.

Comparison of different intensive care scoring systems and Glasgow Aneurysm score for aortic aneurysm in predicting 28-day mortality: a retrospective cohort study from MIMIC-IV database

ObjectiveThis study aims to assess the performance of various scoring systems in predicting the 28-day mortality of patients with aortic aneurysms (AA) admitted to the intensive care unit (ICU).MethodsWe utilized data from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) to perform a comparative analysis of various predictive systems, including the Glasgow Aneurysm Score (GAS), Simplified Acute Physiology Score (SAPS) III, SAPS II, Logical Organ Dysfunction System (LODS), Sequential Organ Failure Assessment (SOFA), Systemic Inflammatory Response Syndrome (SIRS), and The Oxford Acute Illness Severity Score (OASIS). The discrimination abilities of these systems were compared using the area under the receiver operating characteristic curve (AUROC). Additionally, a 4-knotted restricted cubic spline regression was employed to evaluate the association between the different scoring systems and the risk of 28-day mortality. Finally, we conducted a subgroup analysis focusing on patients with abdominal aortic aneurysms (AAA).ResultsThis study enrolled 586 patients with AA (68.39% male). Among them, 26 patients (4.4%) died within 28 days. Comparative analysis revealed higher SAPS II, SAPS III, SOFA, LODS, OASIS, and SIRS scores in the deceased group, while no statistically significant difference was observed in GAS scores between the survivor and deceased groups (P = 0.148). The SAPS III system exhibited superior predictive value for the 28-day mortality rate (AUROC 0.805) compared to the LODS system (AUROC 0.771), SOFA (AUROC 0.757), SAPS II (AUROC 0.759), OASIS (AUROC 0.742), SIRS (AUROC 0.638), and GAS (AUROC 0.586) systems. The results of the univariate and multivariate logistic analyses showed that SAPS III was statistically significant for both 28-day and 1-year mortality. Subgroup analyses yielded results consistent with the overall findings. No nonlinear relationship was identified between these scoring systems and 28-day all-cause mortality (P for nonlinear > 0.05).ConclusionThe SAPS III system demonstrated superior discriminatory ability for both 28-day and 1-year mortality compared to the GAS, SAPS II SIRS, SOFA, and OASIS systems among patients with AA.

Role of red blood cell (RBC) transfusions in patients with prolonged mechanical ventilation during weaning process

Patients undergoing long-term ventilation often show anemia. The aim of the study was to investigate the duration and success of weaning from mechanical ventilation in patients with RBC transfusion. A retrospective analysis of patient data from a weaning unit was performed. Transfused and non-transfused patients were matched using a propensity score. Of the 249 patients in the database, 31 transfused and the same number of non-transfused cases with similar disease severity as measured by the Simplified Acute Physiology Score (SAPS) could be analyzed. Additional sensitivity analyses were performed. In the group of transfused patients, the difference in weaning duration was longer than in non-transfused patients (1.35 days and 3.26 days, respectively). Weaning success also varied. The risk of weaning failure was twice as high in the group of transfused patients. The groups also differed in terms of mortality, 25.8% of the transfused patients died, while in the non-transfused patients the mortality rate was 6.5%. The risk of death was increased in patients who received RBC transfusion. The differences were not statistically significant. A high proportion of patients with prolonged mechanical ventilation have anemia. RBC transfusion does not improve their prognosis. The need for transfusion is associated with higher mortality and longer duration of weaning in this population. The indication for RBC transfusion should therefore be restrictive.

Low T3 vs low T3T4 euthyroid sick syndrome in septic shock patients: A prospective observational cohort study.

Both phases of euthyroid sick syndrome (ESS) are associated with worse prognosis in septic shock patients. Although there are still no indications for supplementation therapy, there is no evidence that both phases (initial and prolonged) are adaptive or that only prolonged is maladaptive and requires supplementation. To analyze clinical, hemodynamic and laboratory differences in two groups of septic shock patients with ESS. A total of 47 septic shock patients with ESS were divided according to values of their thyroid hormones into low T3 and low T3T4 groups. The analysis included demographic data, mortality scores, intensive care unit stay, mechanical ventilation length and 28-day survival and laboratory with hemodynamics. The Simplified Acute Physiology Score II score (P = 0.029), dobutamine (P = 0.003) and epinephrine requirement (P = 0.000) and the incidence of renal failure and multiple organ failure (MOF) (P = 0.000) were significantly higher for the low T3T4. Hypoalbuminemia (P = 0.047), neutrophilia (P = 0.038), lymphopenia (P = 0.013) and lactatemia (P = 0.013) were more pronounced on T2 for the low T3T4 group compared to the low T3 group. Diastolic blood pressure at T0 (P = 0.017) and T1 (P = 0.007), as well as mean arterial pressure at T0 (P = 0.037) and T2 (P = 0.033) was higher for the low T3 group. The low T3T4 population is associated with higher frequency of renal insufficiency and MOF, with worse laboratory and hemodynamic parameters. These findings suggest potentially maladaptive changes in the chronic phase of septic shock.

Hyponatremia Is Associated with Mortality in Acute Pancreatitis Patients.

Disorders of serum sodium are common among general patients and are associated with poor outcomes. The prognostic value of serum sodium disorders in patients with acute pancreatitis (AP) has not been studied. We conducted this retrospective study to explore the association between serum sodium levels and the outcomes of patients with AP. Patients with AP from the Medical Information Mart for Intensive Care III (MIMIC-III) were screened for this study. The laboratory variables, including serum sodium levels, were obtained by analyzing the first blood sample on the first day after admission. Univariate logistic regression was performed to discover potential factors for mortality of AP. The unadjusted and adjusted association between serum sodium level and mortality of AP was shown by the restricted cubic spline (RCS). The categorical cutoff for the detrimental effect of serum sodium level on the prognosis of AP was also confirmed by stepwise logistic regression after adjusting for con-founding effects of significant factors in the univariate logistic regression. A total of 869 patients with AP in the MIMIC-III were included with a mortality of 13.1%. Unadjusted logistic regression showed that age (p < 0.001), simplified acute physiological score (SAPS) (p < 0.001), systolic blood pressure (p < 0.001), diastolic blood pressure (p < 0.001), hemoglobin (p = 0.040), serum creatinine (p = 0.046), and serum phosphorus (p < 0.001) were significantly associated with the mortality of AP. The RCS showed that the serum sodium level was negatively and linearly associated with mortality of AP after adjusting for confounding effects of significant factors in the univariate logistic regression. Serum sodium < 133mmol/L, which indicated hyponatremia, was significantly correlated with a higher mortality risk than serum sodium ≥ 133mmol/L (p = 0.013). Hyponatremia is widely developed among patients with AP and correlates with a higher mortality risk of AP. Physicians should pay more attention to managing patients with AP with hyponatremia.

Prognostic value of PGI score compared to poison severity score (PSS) and simplified acute physiology score (SAPS) II as predictors of mortality and other adverse outcomes in acute poisoning with aluminum phosphide

Aluminum phosphide (AlP) poisoning is a life-threatening emergency prevalent in the Middle East region including Egypt. Early prediction of prognosis is critical for initiating the utmost intensive interventions. Though many scoring systems were studied for predicting the prognosis of AlP poisoning, these scores received wide criticism. Complexity and reliability were the main concerns. Therefore, this retrospective cross-sectional study aimed to evaluate the performance of the recently introduced PGI score as a predictor of case fatality, the need for mechanical ventilation and vasopressor therapy in acute AlP poisoning. Moreover, it compares the performance of PGI with the known poison severity score (PSS), and the simplified acute physiology score (SAPS) II. Among 144 exposed patients, we reported a mortality rate of 61.1%. Non-survivors exhibited significantly higher PGI, PSS, and SAPS II than survivors. Though the PGI, PSS, and SAPS II proved their significance as predictors of mortality and, the need for MV and vasopressors, the PGI score showed a significantly higher area under the curve (AUC) as a predictor of MV (AUC = 0.848) compared to PSS (AUC = 0.731) and SAPS II (AUC = 0.749). Additively, PGI of 2 or more was a significant predictor of mortality (AUC = 0.831, sensitivity = 65.9%, and specificity = 89.3 %) and MV (p < 0.001), while PGI of 1 or more was another predictor of vasopressor need (AUC = 0.881, sensitivity = 89.0% and specificity = 79.4%). Given the PGI score's high AUCs across all outcomes, coupled with its balanced sensitivity and specificity, the PGI score could be a simple, and robust tool replacing the PSS and SAPS II for predicting mortality, clinical decision-making including the need for MV and vasopressor therapy in acute AlP exposure. Adopting the PGI score seems substantially useful in managing acute AlP poisoning, notably in resource-restricted countries.

Revisiting the COVID-19 Pandemic: Mortality and Predictors of Death in Adult Patients in the Intensive Care Unit.

COVID-19 has generated a global impact due to its contagiousness and high lethality rates, with a large number of deaths occurring in intensive care units (ICUs). This study aimed to verify the occurrence of and understand the factors related to mortality in adult patients with COVID-19 admitted to the ICU in a tertiary hospital. This is a retrospective cohort study, which included COVID-19 patients admitted between March 2020 and December 2021. A total of 588 patients were included, of whom the majority (55.27%) did not survive. Invasive mechanical ventilation was the strongest predictor of the risk of death in the ICU with OR = 97.85 (95% CI = 39.10-244.86; p < 0.001), along with age and Simplified Acute Physiology Score 3 (SAPS3). The length of the ICU stay was protective. Evaluating patients on invasive mechanical ventilation in isolation, using an adjusted model, we found the following risk factors: use of vasopressin, renal replacement therapy, red cell distribution width > 15, use of hydrocortisone, and age in years. Protective factors included the days of mechanical ventilation use, being admitted from another service, and being of female sex. Identifying early predictors of mortality in patients with COVID-19 who require hospitalization is essential in the search for actions to prevent and manage complications, which can increase the survival of these patients and reduce the impact on health services.

Utilizing APACHE IV and GRACE Scores as Predictors of Mortality Compared with SAPS-3 Scores for Acute Coronary Syndrome Patients in the Cardiac Vascular Care Unit

Background: Acute coronary syndromes (ACS) frequent cause of hospitalization in the cardiovascular care unit. Positive predictive data are being developed and shown to be effective for patients with ACS; the Global Registry of Acute Coronary Events, or GRACE, has shown the most accurate outcomes. In contrast, prognostic scores derived from diverse cohorts of critically ill patients are predominantly employed by intensive care clinicians. Prominent examples of such scores include APACHE IV and SAPS 3. The objective of this research endeavor was to assess and contrast the efficacy of these three scores across an unselected sample of ACS cases.. Objective: The Cardiovascular Care Unit of RSUD Dr. Saiful Anwar Malang treats Acute Coronary Syndrome patients. This study compares SAPS 3, GRACE, and APACHE IV score parameters through calibration and discrimination tests to predict patient mortality. Material and Methods: The study included all ACS patients admitted from August 2021 to November 2023. Hospital mortality prediction was assessed using score calibration and discrimination. Result: There were 843 patients in total included. SAPS 3 could not be calibrated appropriately, whereas APACHE IV and GRACE could. Across all scores, discrimination was exceptional (area under the curve values of 0.811 for APACHE IV, 0.740 for GRACE, and 0.732 for SAPS 3). Conclusion: GRACE and APACHE IV were calibrated thoroughly in this cohort of intensive care unit-admitted ACS patients; however, SAPS 3 lacked such calibration. All three scores exhibited exceptional discrimination. GRACE and APACHE IV may be utilized to predict the risk of mortality in patients with ACS. Keyword: Acute Physiology and Chronic Health Evaluation Score, Global Registry of Acute Coronary Events, Intensive Cardiovascular Care Unit, Simplified Acute Physiology Score 3.

Research progress on the extracorporeal membrane oxygenation intubation-related infection

Extracorporeal membrane oxygenation (ECMO) is commonly a transitional treatment way used in patients with severe heart and lung problem. Deoxidized blood is extracted through venous intubation, and then returned to the arterial or venous system after oxygenation. There is a risk of intubation-related infection in arterial or venous intubation. Once the infection occurs, it will prolong the patient's length of hospitalization stay, increase the mortality and medical expenses. Longer duration of ECMO and higher simplified acute physiology score (SAPS) were risk factors for infection. At present, the main diagnostic method for infection is blood culture. Ultrasound-guided percutaneous cannulation can reduce the occurrence of infection; if infection still occurs, antibiotics should be actively treated. In order to bring reference for clinical work, this article reviews the incidence, risk factors, diagnostic criteria, prevention strategies, treatment methods and other key points of ECMO intubation-related infection.

Visualization method of mechanical power exposure intensity and duration in mechanical ventilation patients

To visualize the relationship between different combinations of mechanical power exposure intensity-duration and death risk in mechanical ventilation patients using a visualization method. Critically ill patients receiving mechanical ventilation were selected from the Medical Information Mart for Intensive Care- IV v1.0 (MIMIC- IV v1.0) database. The patients were divided into four subgroups according to oxygenation index (PaO2/FiO2) including > 300 mmHg (1 mmHg ≈ 0.133 kPa) group, 201-300 mmHg group, 101-200 mmHg group and ≤100 mmHg group. The baseline characteristics, ventilator parameters, and prognostic indicators for different patient populations were collected. For each patient, the mechanical power thresholds from low to high (5-30 J/min, increasing at intervals of 1 J/min) were used to evaluate the different exposures of mechanical power (above the set threshold was recorded as one exposure), and the number of events with different exposure intensity-duration combinations was counted based on their corresponding durations. Based on the 28-day survival/non-survival status, the number of exposures for survivors and non-survivors in each exposure intensity-duration combination was calculated, and the survival odds ratio (OR) for different mechanical power exposure intensity-duration combinations was subsequently computed. Two-dimensional tables were generated with mechanical power exposure duration on the x-axis and exposure intensity on the y-axis, and the heatmap and its corresponding equipotential line view were used to visualize the OR value to assess the risk of death. A total of 5 378 patients receiving mechanical ventilation were enrolled in the study, of whom 2 069 patients in the PaO2/FiO2 > 300 mmHg group, 813 patients in the 201-300 mmHg group, 1 493 patients in the 101-200 mmHg group, and 1 003 patients in the ≤100 mmHg group. The severity scores of patients, including sequential organ failure assessment (SOFA) score and simplified acute physiology score II (SAPS II), gradually increased following the decrease in PaO2/FiO2, and the incidence of co-morbidities also gradually increased. In terms of ventilator parameters, mechanical power was increased gradually with decrease in PaO2/FiO2, measuring 10.4 (7.8, 13.9), 11.3 (8.5, 14.7), 13.6 (10.0, 18.2), and 16.7 (12.5, 22.0) J/min (P < 0.01). In terms of prognosis, 28-day mortality of patients was gradually increased with decrease in PaO2/FiO2 [29.1% (601/2 069), 26.9% (219/813), 28.1% (420/1 493), and 33.3% (334/1 003), respectively, P < 0.05]. In the heatmap, it could be observed that the 28-day death risk of mechanical ventilation patients was gradually increased with increase in mechanical power exposure intensity and long duration, showing two distinct areas: a region near the bottom left corner (representing low mechanical power exposure intensity and short duration) was blue, indicating a greater chance of survival. In contrast, another region near the top right corner (representing high mechanical power exposure intensity and long duration) was red, indicating a higher risk of death. According to the fitted lines of death risk, for the same risk of death, a shorter mechanical power exposure duration was required for higher exposure intensity, while lower mechanical power exposure intensity required a longer exposure duration. The above trend of change was similarly reflected in the overall population and different oxygenation populations. Cumulative mechanical power exposure to higher intensity and/or longer duration is associated with worse outcomes in mechanical ventilation patients. Considering both the mechanical power exposure intensity and duration may help to evaluate the effectiveness of lung protection in mechanical ventilation patients and guide adjustments in mechanical ventilation strategy to reduce the risk of ventilator-induced lung injury.

The association between the change in severity score from baseline and the outcomes of critically ill patients was enhanced by integration of bioimpedance analysis parameters

The study of the outcomes of critically ill patients has been a hard stuff in the field of intensive care. To explore the relationship between changes of severity scores, bioelectrical impedance analysis (BIA) and outcomes of critically ill patients, we enrolled patients (n = 206) admitted to intensive care unit (ICU) in Jinling Hospital from 2018 to 2021 with records of BIA on the days 1- and 3- ICU. Collected BIA and clinical data including simplified acute physiology score II (SAPS II) and sequential organ failure assessment. According to the baseline and change of severity scores or phase angle (PA) values, the patients were divided into: G–G, baseline good status, 3rd day unchanged; G–B, baseline good status, 3rd day deteriorated; B–G, baseline bad status, 3rd day improved; and B–B, baseline bad status, 3rd day unchanged. According to PA, the mortality of group G–G was 8.6%, and it was greater than 50% in group B–B for severity scores. The new score combining PA and severity scores established. Multivariate logistic regression analysis revealed that PA–SAPS II score was the only independent factor for 90-day mortality (P < 0.05). A linear correlation was found between mortality and PA–SAPS II score (prediction equation: Y(%)=16.97×X-9.67\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$Y(\\%)=16.97\ imes X-9.67$$\\end{document}, R2 = 0.96, P < 0.05).

Carbon Dioxide Targets in Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome.

Target values for arterial carbon dioxide tension (PaCO2) in extracorporeal membrane oxygenation (ECMO) for acute respiratory distress syndrome (ARDS) are unknown. We hypothesized that lower PaCO2 values on ECMO would be associated with lighter sedation. We used data from two independent patient cohorts with ARDS spending 1,177 days (discovery cohort, 69 patients) and 516 days (validation cohort, 70 patients) on ECMO and evaluated the associations between daily PaCO2, pH, and bicarbonate (HCO3) with sedation. Median PaCO2 was 41 (interquartile range [IQR] = 37-46) mm Hg and 41 (IQR = 37-45) mm Hg in the discovery and the validation cohort, respectively. Lower PaCO2 and higher pH but not bicarbonate (HCO3) served as significant predictors for reaching a Richmond Agitation Sedation Scale (RASS) target range of -2 to +1 (lightly sedated to restless). After multivariable adjustment for mortality, tracheostomy, prone positioning, vasoactive inotropic score, Simplified Acute Physiology Score (SAPS) II or Sequential Organ Failure Assessment (SOFA) Score and day on ECMO, only PaCO2 remained significantly associated with the RASS target range (adjusted odds ratio 1.1 [95% confidence interval (CI) = 1.01-1.21], p = 0.032 and 1.29 [95% CI = 1.1-1.51], p = 0.001 per mm Hg decrease in PaCO2 for the discovery and the validation cohort, respectively). A PaCO2 ≤40 mm Hg, as determined by the concordance probability method, was associated with a significantly increased probability of a sedation level within the RASS target range in both patient cohorts (adjusted odds ratio = 2.92 [95% CI = 1.17-7.24], p = 0.021 and 6.82 [95% CI = 1.50-31.0], p = 0.013 for the discovery and the validation cohort, respectively).

Enhancing SAPS-3 Predictive Accuracy with Initial, Peak, and Last Lactate Measurements in Septic Shock.

Background/Objectives: Septic shock is a severe condition with high mortality necessitating precise prognostic tools for improved patient outcomes. This study aimed to evaluate the collective predictive value of the Simplified Acute Physiology Score 3 (SAPS-3) and lactate measurements (initial, peak, last, and clearance rates within the first 24 h) in patients with septic shock. Specifically, it sought to determine how these markers enhance predictive accuracy for 28-day mortality beyond SAPS-3 alone. Methods: This retrospective cohort study analyzed data from 66 septic shock patients at two ICUs of Vienna General Hospital (2017-2019). SAPS-3 and lactate levels (initial, peak, last measurement within 24 h, and 24 h clearance) were obtained from electronic health records. Logistic regression models were constructed to identify predictors of 28-day mortality, and receiver operating characteristic (ROC) curves assessed predictive accuracy. Results: Among 66 patients, 36 (55%) died within 28 days. SAPS-3 scores significantly differed between survivors and non-survivors (76 vs. 85 points; p = 0.016). First, last, and peak lactate were significantly higher in non-survivors compared to survivors (all p < 0.001). The combination of SAPS-3 and first lactate produced the highest predictive accuracy (AUC = 80.6%). However, 24 h lactate clearance was not predictive of mortality. Conclusions: Integrating SAPS-3 with lactate measurements, particularly first lactate, improves predictive accuracy for 28-day mortality in septic shock patients. First lactate serves as an early, robust prognostic marker, providing crucial information for clinical decision-making and care prioritization. Further large-scale studies are needed to refine these predictive tools and validate their efficacy in guiding treatment strategies.

Predictive Factors for Recurrent Hemoptysis after Bronchial Artery Embolization in Patients with Lung Cancer

PurposeTo identify clinical, radiological, and angiographic characteristics associated with recurrent hemoptysis after bronchial artery embolization (BAE) in patients with lung cancer and severe hemoptysis admitted to the intensive care unit (ICU). Materials and MethodsA total of 144 consecutive patients with lung cancer who underwent BAE for life-threatening hemoptysis admitted in the ICU between 2014 and 2022 were retrospectively included. Demographics, laboratory values, clinical course, and radiological/angiographic features were compared between those with and without recurrent hemoptysis within 1 month after embolization. ResultsOf the 144 patients (mean age, 60.2 years [SD ± 10.9]; females, 15.3%), 34.7% (50/144) experienced clinically relevant recurrent hemoptysis within 1 month; among them, 29 of 50 (58.0%) cases necessitated a second embolization. Massive hemoptysis was observed in 54.2%, with 16.7% receiving the vasopressin analog terlipressin. The mean volume of hemoptysis and simplified acute physiology score II (SAPS II) were 235 mL (SD ± 214.3) and 31.2 (SD ± 18.6), respectively. Computed tomography (CT) angiography revealed pulmonary artery (PA) injury (11.5%) and necrosis/cavitation (25.8%), and PA embolization was performed in 15.3% of cases. Technical success rate was 92%. SAPS II (P = .01), massive hemoptysis (P < .001), terlipressin use (P = .01), necrosis/cavitation (P = .01), and PA injury on CT angiography (P < .001) were associated with recurrent hemoptysis. Independent predictors on multivariate analysis were massive hemoptysis (P = .016) and PA injury on CT angiography (P = .001). ConclusionsIn patients with lung cancer and life-threatening hemoptysis treated by BAE, massive hemoptysis and PA injury identified on CT angiography are independent predictors of recurrent hemoptysis.

Stratifying Mortality Risk in Intensive Care: A Comprehensive Analysis Using Cluster Analysis and Classification and Regression Tree Algorithms

BackgroundMachine learning (ML) can be promising for stratifying patients into homogeneous groups and assessing mortality based on score combination. Using ML, we compared mortality prediction performance for clustered and non-clustered models and tried to develop a simple decision algorithm to predict the patient’s cluster membership with classification and regression trees (CART).MethodsRetrospective study involving patients requiring ICU admission (1st January 2011–16th September 2022). Clusters were identified by combining Charlson Comorbidity Index (CCI) plus Simplified Acute Physiology Score II (SAPS II) or Sequential Organ Failure Assessment (SOFA). Intercluster and survival analyses were performed. We analyzed the relationship with mortality with multivariate logistic regressions and receiver operating characteristic curves (ROC) for models with and without clusters. Nested models were compared with Likelihood Ratio Tests (LRT). Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were compared for non-nested models. With the best model, we used CART to build a decision tree for patient’s membership.ResultsOur sample consisted of 2605 patients (mortality 59.7%). For both score combinations, we identified two clusters (A and B for CCI + SAPS II, α and β for CCI + SOFA). Belonging to cluster B/β was associated with shorter survival times (Peto-Peto p-values < 0.0001) and increased mortality (Odds-ratio 4.65 and 5.44, respectively). According to LRT and ROC analysis, clustered models performed better, and CCI + SOFA showed the lowest AIC and BIC values (AIC = 3021.21, BIC = 3132.65). Using CART (β cluster positive case) the accuracy of the decision tree was 94.8%.ConclusionClustered models significantly improved mortality prediction. The CCI + SOFA clustered model showed the best balance between complexity and data fit and should be preferred. Developing a user-friendly decision-making algorithm for cluster membership with CART showed high accuracy. Further validation studies are needed to confirm these findings.