Herein, we evaluated the optimal timing for implementing the BioFire® FilmArray® Pneumonia Panel (FA-PP) in the medical intensive care unit (MICU). Respiratory samples from 135 MICU-admitted patients with acute respiratory failure and severe pneumonia were examined using FA-PP. The cohort had an average age of 67.1 years, and 69.6% were male. Notably, 38.5% were smokers, and the mean acute physiology and chronic health evaluation-II (APACHE-II) score at initial MICU admission was 30.62, and the mean sequential organ failure assessment score (SOFA) was 11.23, indicating sever illness. Furthermore, 28.9, 52.6, and 43% of patients had a history of malignancy, hypertension, and diabetes mellitus, respectively. Community-acquired pneumonia accounted for 42.2% of cases, whereas hospital-acquired pneumonia accounted for 37%. The average time interval between pneumonia diagnosis and FA-PP implementation was 1.9 days, and the mean MICU length of stay was 19.42 days. The mortality rate was 50.4%. Multivariate logistic regression analysis identified two variables as significant independent predictors of mortality: APACHE-II score (p = 0.033, OR = 1.06, 95% CI 1.00-1.11), history of malignancy (OR = 3.89, 95% CI 1.64-9.26). The Kaplan-Meier survival analysis indicated that early FA-PP testing did not provide a survival benefit. The study suggested that the FA-PP test did not significantly impact the mortality rate of patients with severe pneumonia with acute respiratory failure. However, a history of cancer and a higher APACHE-II score remain important independent risk factors for mortality.

Background Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection, often resulting in severe outcomes such as septic shock and death. Globally, sepsis ranks among the most common causes of illness and death. The Sequential Organ Failure Assessment (SOFA) score is an established marker used to assess and predict the extent of organ failure in septic patients. The introduction of novel markers, such as the lactate/albumin (L/A) ratio, serves as a prognostic indicator in critical care settings, particularly for patients with sepsis. In this context, a higher L/A ratio upon admission aids in assessing disease severity and improving clinical decision-making to reduce mortality and adverse outcomes, which we aim to correlate through our study. Materials and methods This was an observational cross-sectional analysis conducted on 100 patients aged over 18 years who met the \"Sepsis-3\" guidelines and were admitted to the medical intensive care unit of Dr. D. Y. Patil Hospital, Pune, Maharashtra, India, between October 2022 and May 2024. Patients with chronic liver disease classified as Child-Pugh class C were excluded, as were those with chronic kidney disease (CKD). Written informed consent was obtained from each participant before the study. Data were collected through physical examination, routine laboratory investigations, and radiological assessments. Statistical analysis was performed using IBM SPSS version 20 (IBM Corp., Armonk, NY). Descriptive statistical analyses were conducted using the SPSS data editor. Statistical significance was considered at a p-value of less than 0.05 for all analyses. Results In the study population, 78 patients survived, while 22 patients died. The L/A ratio and SOFA score were significantly higher in non-survivors compared to survivors, both upon admission and thereafter, with statistical significance (p < 0.05). The correlation between the L/A ratio and the SOFA score was examined upon admission at 24 hours, 48 hours, day 7, and day 28. Pearson correlation analysis revealed statistically significant results (p < 0.05) throughout the entire study period. Conclusion A high L/A ratio, along with the SOFA score at ICU admission, was associated with a grave prognosis and poor outcomes, serving as independent risk factors for ICU admission. Therefore, patients with a high L/A ratio and SOFA score should be identified early and managed aggressively to avoid poor outcomes. Our study demonstrates that combining serum lactate and serum albumin levels into the L/A ratio significantly enhances prognostic accuracy compared to using serum lactate alone.

BACKGROUND: This study aimed to develop prognostic models for predicting the need for invasive mechanical ventilation (IMV) in intensive care unit (ICU) patients with COVID-19 and compare their performance with the Respiratory rate-OXygenation (ROX) index.
METHODS: A retrospective cohort study was conducted using data collected between March 2020 and August 2021 at three hospitals in Rio de Janeiro, Brazil. ICU patients aged 18 years and older with a diagnosis of COVID-19 were screened. The exclusion criteria were patients who received IMV within the first 24 h of ICU admission, pregnancy, clinical decision for minimal end-of-life care and missing primary outcome data. Clinical and laboratory variables were collected. Multiple logistic regression analysis was performed to select predictor variables. Models were based on the lowest Akaike Information Criteria (AIC) and lowest AIC with significant p values. Assessment of predictive performance was done for discrimination and calibration. Areas under the curves (AUC)s were compared using DeLong\'s algorithm. Models were validated externally using an international database.
RESULTS: Of 656 patients screened, 346 patients were included; 155 required IMV (44.8%), 191 did not (55.2%), and 207 patients were male (59.8%). According to the lowest AIC, arterial hypertension, diabetes mellitus, obesity, Sequential Organ Failure Assessment (SOFA) score, heart rate, respiratory rate, peripheral oxygen saturation (SpO2), temperature, respiratory effort signals, and leukocytes were identified as predictors of IMV at hospital admission. According to AIC with significant p values, SOFA score, SpO2, and respiratory effort signals were the best predictors of IMV; odds ratios (95% confidence interval): 1.46 (1.07-2.05), 0.81 (0.72-0.90), 9.13 (3.29-28.67), respectively. The ROX index at admission was lower in the IMV group than in the non-IMV group (7.3 [5.2-9.8] versus 9.6 [6.8-12.9], p < 0.001, respectively). In the external validation population, the area under the curve (AUC) of the ROX index was 0.683 (accuracy 63%), the AIC model showed an AUC of 0.703 (accuracy 69%), and the lowest AIC model with significant p values had an AUC of 0.725 (accuracy 79%).
CONCLUSIONS: In the development population of ICU patients with COVID-19, SOFA score, SpO2, and respiratory effort signals predicted the need for IMV better than the ROX index. In the external validation population, although the AUCs did not differ significantly, the accuracy was higher when using SOFA score, SpO2, and respiratory effort signals compared to the ROX index. This suggests that these variables may be more useful in predicting the need for IMV in ICU patients with COVID-19.
RESULTS:
UNASSIGNED: NCT05663528.

OBJECTIVE: We aimed to study the etiologies and clinical profile and to describe the factors associated with mortality in acute-on-chronic liver failure (ACLF) patients at our center.
METHODS: Patients meeting the Asian Pacific Association for the Study of the Liver (APASL) definition of ACLF were included. We studied etiologies and clinical profile and analyzed the factors associated with mortality in patients with ACLF. We also analyzed the mortality rates based on the number of organ failures and the grade of ACLF.
RESULTS: 114 patients were included. Alcohol (82, 71.9%), drugs (22, 19.3%), and viral hepatitis (17, 14.9%) were the commonest precipitating factors of ACLF. The commonest cause of chronic disease was alcohol (83, 72.8%). Fifty-three (46.5%), 60 (52.6%), 44 (38.6%), 32 (28.1%), and 24 (21.1%) experienced renal, coagulation, cerebral, respiratory, and circulation failures, respectively. Overall, the in-hospital mortality rate stood at 54 (48.6%), with a median stay of eight days. Advanced hepatic encephalopathy and ventilator support independently predicted mortality. The Sequential Organ Failure Assessment (SOFA) score outperformed all other prognostic scores in predicting mortality in ACLF.
CONCLUSIONS: Alcohol was the most common precipitating factor for ACLF. The in-hospital mortality rate was 48.6%. Advanced hepatic encephalopathy and ventilator support independently predicted mortality. The SOFA score is a more accurate predictor of mortality in ACLF when compared to other prognostic scores.

UNASSIGNED: Sepsis is a major global health affecting millions worldwide, hence understanding its contributing factors becomes paramount. This cross-sectional study at a tertiary care center explores the relationship between iron profile, vitamin D levels, and outcomes in sepsis and septic shock patients. The primary objective was to explore the prevalence of iron profile and vitamin D parameters during early intensive care unit (ICU) admission and their association with 28-day mortality.
UNASSIGNED: Spanning 18 months, the study enrolled adult patients meeting sepsis or septic shock criteria at the ICU. Data collection included demographic information, clinical characteristics, and blood samples for iron profile and vitamin D levels at admission. Disease severity was assessed using sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) scores, and treatment was administered as per surviving sepsis-3 guidelines.
UNASSIGNED: The research involved 142 participants, uncovering prevalent organisms such as Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae. Noteworthy connections to mortality were identified for factors including vasopressor support, ICU stay duration, SOFA score, and APACHE-II score. Interestingly, age, gender, and vitamin D levels showed no significant associations. However, the study did reveal a significant association between iron, ferritin, and transferrin saturation levels with increased 28-day mortality.
UNASSIGNED: Our study concluded that low Iron, elevated ferritin, and decreased transferrin saturation levels maintained associations with the outcome of interest. While no such relationship was established with vitamin D levels. These results suggest potential implications for patient management and prognosis, warranting further exploration in future research.
UNASSIGNED: Bairwa M, Jatteppanavar B, Kant R, Singh M, Choudhury A. Impact of Iron Profile and Vitamin D Levels on Clinical Outcomes in Patients with Sepsis and Septic Shock: A Cross-sectional Analysis at a Tertiary Care Center. Indian J Crit Care Med 2024;28(6):569-574.

How to cite this article: Patnaik RK, Karan N. Synergizing Survival: Uniting Acute Gastrointestinal Injury Grade and Disease Severity Scores in Critical Care Prognostication. Indian J Crit Care Med 2024;28(6):529-530.

UNASSIGNED: Recent studies suggest that erythropoietin has an anti-inflammatory effect on the central nervous system. The authors aimed to investigate the effect of erythropoietin on Glasgow Coma Scale (GCS), Sequential Organ Failure Assessment (SOFA) scores, and the mortality rate of traumatic brain injury (TBI) patients.
UNASSIGNED: Sixty-eight patients with available inclusion criteria were randomly allocated to the control or intervention groups. In the intervention group, erythropoietin (4000 units) was administrated on days 1, 3, and 5. In the control group, normal saline on the same days was used. The primary outcomes were the GCS and SOFA score changes during the intervention. The secondary outcomes were the ventilation period during the first 2 weeks and the 3-month mortality rate.
UNASSIGNED: Erythropoietin administration significantly affected SOFA score over time (P=0.008), but no significant effect on the GCS, and duration of ventilation between the two groups was observed. Finally, erythropoietin had no significant effect on the three-month mortality (23.5% vs. 38.2% in the erythropoietin and control group, respectively). However, the mortality rate in the intervention group was lower than in the control group.
UNASSIGNED: Our finding showed that erythropoietin administration in TBI may improve SOFA score. Therefore, erythropoietin may have beneficial effects on early morbidity and clinical improvement in TBI patients.

BACKGROUND: The Sequential Organ Failure Assessment (SOFA) score is an important tool in diagnosing sepsis and quantifying organ dysfunction. However, despite emerging evidence of differences in sepsis pathophysiology between women and men, sex is currently not being considered in the SOFA score. We aimed to investigate potential sex-specific differences in organ dysfunction, as measured by the SOFA score, in patients with sepsis or septic shock and explore outcome associations.
METHODS: Retrospective analysis of sex-specific differences in the SOFA score of prospectively enrolled ICU patients with sepsis or septic shock admitted to one of 85 certified Swiss ICUs between 01/2021 and 12/2022.
RESULTS: Of 125,782 patients, 5947 (5%) were admitted with a clinical diagnosis of sepsis (2244, 38%) or septic shock (3703, 62%). Of these, 5078 (37% women) were eligible for analysis. A statistically significant difference of the total SOFA score on admission was found between women (mean 7.5 ± SD 3.6 points) and men (7.8 ± 3.6 points, Wilcoxon rank-sum p < 0.001). This was driven by differences in the coagulation (p = 0.008), liver (p < 0.001) and renal (p < 0.001) SOFA components. Differences between sexes were more prominent in younger patients < 52 years of age (women 7.1 ± 4.0 points vs men 8.1 ± 4.2 points, p = 0.004). No sex-specific differences were found in ICU length of stay (women median 2.6 days (IQR 1.3-5.3) vs men 2.7 days (IQR 1.2-6.0), p = 0.13) and ICU mortality (women 14% vs men 15%, p = 0.17).
CONCLUSIONS: Sex-specific differences exist in the SOFA score of patients admitted to a Swiss ICU with sepsis or septic shock, particularly in laboratory-based components. Although the clinical meaningfulness of these differences is unclear, a reevaluation of sex-specific thresholds for SOFA score components is warranted in an attempt to make more accurate and individualised classifications.

OBJECTIVE: The Sequential Organ Failure Assessment (SOFA) score plays a crucial role in intensive care units (ICUs) by providing a reliable measure of a patient\'s organ function or extent of failure. However, the precise assessment is time-consuming, and daily assessment in clinical practice in the ICU can be challenging.
METHODS: Realistic scenarios in an ICU setting were created, and the data mining precision of ChatGPT 4.0 Plus, Bard, and Perplexity AI were assessed using Spearman\'s as well as the intraclass correlation coefficients regarding the accuracy in determining the SOFA score.
RESULTS: The strongest correlation was observed between the actual SOFA score and the score calculated by ChatGPT 4.0 Plus (r correlation coefficient 0.92) (p<0.001). In contrast, the correlation between the actual SOFA and that calculated by Bard was moderate (r=0.59, p=0.070), while the correlation with Perplexity AI was substantial, at 0.89, with a p<0.001. The interclass correlation coefficient analysis of SOFA with those of ChatGPT 4.0 Plus, Bard, and Perplexity AI was ICC=0.94.
CONCLUSIONS: Artificial intelligence (AI) tools, particularly ChatGPT 4.0 Plus, show significant promise in assisting with automated SOFA score calculations via AI data mining in ICU settings. They offer a pathway to reduce the manual workload and increase the efficiency of continuous patient monitoring and assessment. However, further development and validation are necessary to ensure accuracy and reliability in a critical care environment.

OBJECTIVE: Postoperative organ dysfunction is common after cardiac surgery, particularly when cardiopulmonary bypass (CPB) is used. The Sequential Organ Failure Assessment (SOFA) score is validated to predict morbidity and mortality in cardiac surgery. However, the impact of CPB duration on postoperative SOFA remains unclear.
METHODS: This is a retrospective study. Categorical values are presented as percentages. The comparison of SOFA groups utilized the Kruskal-Wallis chi-squared test, complemented by ad hoc Dunn\'s test with Bonferroni correction. Multinomial logistics regressions were employed to evaluate the relationship between CPB time and SOFA.
RESULTS: A total of 1032 patients were included. CPB time was independently associated with higher postoperative SOFA scores at 24 h. CPB time was significantly higher in patients with SOFA 4-5 (**P = 0.0022) or higher (***P < 0.001) when compared to SOFA 0-1. The percentage of patients with no/mild dysfunction decreased with longer periods of CPB, down to 0% for CPB time >180min (50% of the patients with >180m in of CPB presented SOFA ≥ 10). The same trend is observed for each of the SOFA variables, with higher impact in the cardiovascular and renal systems. Severe dysfunction occurs especially >200 min of CPB (cardiovascular system >100 min; other systems mainly >200 min).
CONCLUSIONS: CPB time may predict the probability of postoperative SOFA categories. Patients with extended CPB durations exhibited higher SOFA scores (overall and for each variable) at 24 h, with higher proportion of moderate and severe dysfunction with increasing times of CPB.