OBJECTIVE: This study aims to assess the predictive accuracy of SOFA, MODS, and LODS scores in determining the mortality of elderly undergoing open heart surgery with delirium.
METHODS: A prospective study involved 111 elderly patients who met the inclusion criteria. Data were collected using scoring systems: SOFA, MODS, and LODS.
RESULTS: Upon final follow-up, 86.5 % of the patients had recovered, 13.5 % had died. Sensitivity, specificity, negative, and positive predictive values for predicting mortality in elderly patients were calculated for the SOFA score as 99 %, 73 %, 98 %, and 76 %, respectively. For the MODS score, these values were 95 %, 60 %, 95 %, and 67 %; for the LODS score, they were 92 %, 73 %, 92 %, and 75 %, respectively. The overall accuracy of the three scores-SOFA, MODS, and LODS-was 84 %, 76 %, and 82 %, respectively.
CONCLUSIONS: The results indicated that the SOFA score exhibited the highest sensitivity and specificity in predicting mortality among elderly individuals.

Background and aim A variety of scoring systems are employed in intensive care units (ICUs) with the objective of predicting patient morbidity and mortality. The present study aimed to compare four different severity assessment scoring systems, namely, Acute Physiology and Chronic Health Evaluation II (APACHE II), Rapid Emergency Medicine Score (REMS), Sequential Organ Failure Assessment (SOFA), and Simplified Acute Physiologic Score II (SAPS II) to predict prognosis of all patients admitted to a mixed medical ICU of a tertiary care teaching hospital in central India. Methods The prospective observational study included 1136 patients aged 18 years or more, admitted to the mixed medical ICU. All patients underwent severity assessment using the four scoring systems, namely APACHE II, SOFA, REMS, and SAPS II, after admission. Predicted mortality was calculated from each of the scores and actual patient outcomes were noted. Receiver operating curve analysis was undertaken to identify the cut-off value of individual scoring systems for predicting mortality with optimum sensitivity and specificity. Calibration and discrimination were employed to ascertain the validity of each scoring model. Bivariate and multivariable logistic regression analyses among the study participants were conducted to identify the best scoring system, after adjusting for potential confounders. Results Final analysis was done on 957 study participants (mean (±SD) age-58.4 (±12.9) years; males-62.2%). The mortality rate was 14.7%. APACHE II, SOFA, SAPS II, and REMS scores were significantly higher among the non-survivors as compared to the survivors (p<0.05). SAPS II was found to have the highest AUC of 0.981 (p<0.001). SAPS II score >58 had 93.6% sensitivity, 94.1% specificity, 73.3% PPV, 98.8% NPV, and 94.0% diagnostic accuracy in predicting mortality. This scoring system also had the best calibration. Binary logistic regression showed that all four scoring systems were significantly associated with ICU mortality. After adjusting for each other, only SAPS II remained significantly associated with ICU mortality. Conclusion Both SAPS II and APACHE II were observed to have good calibration and discriminatory power; however, SAPS II had the best prediction power suggesting that it may be a useful tool for clinicians and researchers in assessing the severity of illness and mortality risk in critically ill patients.

BACKGROUND: The vasopressor dose needed is a common measure to assess the severity of cardiovascular failure, but there is no consensus on the ranges of vasopressor doses determining different levels of cardiovascular support. We aimed to identify cutoffs for determining low, intermediate and high doses of noradrenaline (norepinephrine), the primary vasopressor used in intensive care, based on association with hospital mortality.
METHODS: We conducted a binational registry study to determine cutoffs between low, intermediate and high noradrenaline doses. We required the cutoffs to be statistically rational and practical (rounded to the first decimal and easy to remember), and to result in increasing mortality with increasing doses. The highest noradrenaline dose in the first 24 h after intensive care unit (ICU) admission was used. The cutoffs were developed using data from 8079 ICU patients treated in the ICU at Kuopio University Hospital, Finland, between 2013 and 2019. Subsequently, the cutoffs were validated in the eICU database, including 39,007 ICU admissions to 29 ICUs in the United States of America in 2014-2015. The log-rank statistic, with the Contal and O\'Quigley method, was used to determine the cutoffs resulting in the most significant split between the noradrenaline dose groups with regard to hospital mortality.
RESULTS: The two most prominent peaks in the log-rank statistic corresponded to noradrenaline doses 0.20 and 0.44 μg/kg/min. Accordingly, we determined three dose ranges: low (<0.2 μg/kg/min), intermediate (0.2-0.4 μg/kg/min) and high (>0.4 μg/kg/min). Mortality increased, whereas the number of patients decreased consistently with increasing noradrenaline doses in both cohorts. In the development cohort, hospital mortality was 6.5% in the group without noradrenaline administered and 14.0%, 26.4% and 40.2%, respectively, in the low-dose, intermediate-dose and high-dose groups. Compared to patients who received no noradrenaline, the hazard ratio for in-hospital death was 1.4 for the low-dose group, 4.0 for the intermediate-dose group and 7.5 for the high-dose group in the validation cohort (p < .001).
CONCLUSIONS: The highest noradrenaline dose is a useful measure for quantifying circulatory failure. Cutoffs 0.2 and 0.4 μg/kg/min seem to be suitable for defining low, intermediate and high doses.

BACKGROUND: We compared the prognostic value of the C-reactive protein (CRP)-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and modified Glasgow prognostic score (mGPS) with the Sequential Organ Failure Assessment (SOFA) score in an intensive care unit (ICUs).
METHODS: This study used the data of 53,877 adult patients admitted to an ICU between June 2013 and May 2022. Using the CAR, NLR, and mGPS values, as well as the SOFA score from the ICU, we conducted multivariable logistic regression analysis and used the receiver operating characteristic (ROC) curve to compare the predictive value for 28-day and 1-year mortality.
RESULTS: A total of 2419 patients (4.5%) died within 28 days, and 6209 (11.5%) patients died within 1 year. After an adjustment, all predictors were found to be independent risk factors for 28-day mortality (odds ratio [OR] 1.31, 95% confidence interval [CI] 1.29-1.33, p < 0.001 for the SOFA score; OR 1.05, 95% CI 1.03-1.07, p < 0.001 for CAR; OR 1.01, 95% CI 1.00-1.02, p < 0.001 for the NLR; and OR 1.19, 95% CI 1.08-1.30, p < 0.001 for the mGPS). This trend persisted for the 1-year mortality. In ROC curve analysis, the CAR showed better predictability than the NLR and mGPS. Furthermore, the predictive power of the CAR was significantly higher than that of the SOFA score for 1-year mortality.
CONCLUSIONS: The CAR, NLR, and mGPS values at ICU admission were independent risk factors of mortality after ICU admission. The predictive value of CAR was higher than that of the SOFA score for 1-year mortality. CAR assessment at ICU admission may be a feasible predictor of long-term mortality.

UNASSIGNED: We hypothesized that lactate clearance and reduction of the Sequential Organ Failure Assessment (SOFA) score during patients\' critical care resuscitation unit (CCRU) stay would be associated with lower in-hospital mortality.
UNASSIGNED: This was a retrospective study of adult patients who had sepsis diagnoses and were admitted to the CCRU in 2018. Multivariable logistic regression analysis was performed to assess the association of clinical factors, lactate clearance, and SOFA reduction with hospital mortality.
UNASSIGNED: A total of 401 patients with lactate clearance data and 455 patients with SOFA score data were included in the study. The mean (SD) lactate and SOFA score on admission were 2.2 (1.8) mmol/L and 4.4 (4.3), respectively. Average lactate clearance was 0.1 (2.6) mmol/L, and average SOFA score reduction was 0.65 (5.9). Patients with a one point reduction in SOFA score during their CCRU stay had a 31% reduction of mortality (odds ratio [OR] 0.69, 95% confidence interval [CI] 0.62-0.77, p < 0.001). SOFA score reduction was associated with lower hospital mortality for both surgical patients (OR 0.69, 95% CI 0.58-0.81, p < 0.001) and non-surgical patients (OR 0.71 95% CI 0.06-0.83, p < 0.001).
UNASSIGNED: SOFA score reduction, but not lactate clearance during the CCRU stay, was associated with lower odds of in-hospital mortality. These findings suggest that resuscitative efforts leading to an early improvement in SOFA score may benefit patients with sepsis.

UNASSIGNED: This study aimed to identify pathogens and factors that predict the outcome of severe COVID-19 by utilizing metagenomic next-generation sequencing (mNGS) technology.
UNASSIGNED: We retrospectively analyzed data from 56 severe COVID-19 patients admitted to our hospital between December 2022 and March 2023. We analyzed the pathogen types and strains detected through mNGS and conventional microbiological testing and collected general patient information.
UNASSIGNED: In this study, 42 pathogens were detected using mNGS and conventional microbiological testing. mNGS had a significantly higher detection rate of 90.48% compared to 71.43% for conventional testing (P=0.026). A total of 196 strains were detected using both methods, with a significantly higher detection rate of 70.92% for mNGS compared to 49.49% for conventional testing (P=0.000). The 56 patients were divided into a survival group (33 cases) and a death group (23 cases) based on clinical outcomes. The survival group had significantly lower age, number of pathogens detected by mNGS, number of pathogens detected by conventional testing, APACHE-II score, SOFA score, high-sensitivity troponin, creatine kinase-MB subtype, and lactate dehydrogenase compared to the death group (P<0.05). Multivariate logistic regression analysis showed that these factors were risk factors for mortality in severe COVID-19 patients (P<0.05). In contrast, ROC curve analysis revealed that these factors had diagnostic values for mortality, with AUC values ranging from 0.657 to 0.963. The combined diagnosis of these indicators had an AUC of 0.924.
UNASSIGNED: The use of mNGS technology can significantly enhance the detection of pathogens in severe cases of COVID-19 and also has a solid ability to predict clinical outcomes.
UNASSIGNED: Ova studija je imala za cilj da identifikuje patogene i faktore koji predviđaju ishod teškog COVID-19 korišćenjem tehnologije metagenomskog sekvenciranja sledeće generacije (mNGS).
UNASSIGNED: Retrospektivno smo analizirali podatke od 56 teških pacijenata sa COVID-19 primljenim u našu bolnicu između decembra 2022. i marta 2023. Analizirali smo tipove i sojeve patogena otkrivene putem mNGS i konvencionalnog mikrobiološkog testiranja i prikupili opšte informacije o pacijentima.
UNASSIGNED: U ovoj studiji, 42 patogena su otkrivena korišćenjem mNGS i konvencionalnog mikrobiološkog testiranja. mNGS je imao značajno veću stopu detekcije od 90,48% u poređenju sa 71,43% za konvencionalno testiranje (P=0,026). Ukupno 196 sojeva je otkriveno korišćenjem obe metode, sa značajno većom stopom detekcije od 70,92% za mNGS u poređenju sa 49,49% za konvencionalno testiranje (P=0,000). 56 pacijenata je podeljeno u grupu za preživljavanje (33 slučaja) i grupu sa smrću (23 slučaja) na osnovu kliničkih ishoda. Grupa za preživljavanje imala je značajno nižu starost, broj patogena otkrivenih pomoću mNGS-a, broj patogena otkrivenih konvencionalnim testiranjem, APACHE-II skor, SOFA skor, troponin visoke osetljivosti, podtip kreatin kinaze-MB i laktat dehidrogenazu u poređenju sa grupom smrti. (P<0,05). Multivarijantna logistička regresiona analiza je pokazala da su ovi faktori faktori rizika za smrtnost kod teških pacijenata sa COVID-19 (P<0,05). Nasuprot tome, analiza ROC krive je otkrila da ovi faktori imaju dijagnostičke vrednosti mortaliteta, sa vrednostima AUC u rasponu od 0,657 do 0,963. Kombinovana dijagnoza ovih indikatora imala je AUC od 0,924.
UNASSIGNED: Upotreba mNGS tehnologije može značajno poboljšati otkrivanje patogena u teškim slučajevima COVID-19 i takođe ima solidnu sposobnost predviđanja kliničkih ishoda.

OBJECTIVE: The aim of this study was to determine the value of the Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA) and CardShock scoring systems in predicting the risk of in-hospital, 30 day and 3 year mortality in patients with cardiogenic shock (CS).
METHODS: This was a single-centre observational study conducted between May 2016 and December 2017. Data from consecutive patients with CS admitted to the intensive cardiac care unit (ICCU) were included in the analysis.
RESULTS: The study group comprised 63 patients with CS {median age 71.0 [interquartile range (IQR), 59-82]; 42 men}: 32 patients with ischaemic and 31 with non-ischaemic aetiology. The median APACHE II, SOFA and CardShock scores were 13 (IQR, 9.9-19.0) points, 8.0 (IQR, 6.0-10.0) points and 3.0 (IQR, 2.0-5.0) points, respectively. The in-hospital, 30 day and 3 year mortality rates were 39.7%, 41.3% and 77.8%, respectively. APACHE II and SOFA scores were significantly higher in the group of patients who died at 30 days (P = 0.043 and P = 0.045, respectively). The CardShock score was higher in patients with CS who died in hospital (P = 0.007) and within 30 days (P = 0.004). No score was statistically significant for 3 year mortality. Area under the curve (AUC) analysis showed that the CardShock score had the highest value in predicting in-hospital and 30 day mortality relative to APACHE II and SOFA, with a cut-off score of 5 points [AUC: 0.70; 95% confidence interval (CI): 0.59-0.81; P = 0.001] and 4 points (AUC: 0.71; 95% CI: 0.60-0.82; P < 0.001), respectively. The Bayesian Weibull model demonstrated the utility of all scales in estimating short-term risk in patients with CS, with the impact of APACHE II and SOFA on patient life expectancy decreasing to a non-significant level at approximately 32 days and CardShock at 33 days. The forest plots derived from the Bayesian logistic regression analysis show significant estimated coefficients with 94% highest density interval (HDI) for in-hospital and 30 day mortality. The use of invasive or non-invasive ventilation, a higher heart rate and a less negative fluid balance showed an unfavourable prognosis. Survival was associated with being in the pre-CS class, with a higher glomerular filtration rate and a higher platelet count.
CONCLUSIONS: APACHE II and SOFA could be used for the risk stratification of patients with CS admitted to the ICCU. CardShock proved to be a more appropriate tool for assessing short-term prognosis in patients with CS of all aetiologies, suggesting that there is potential for its promotion for use in daily clinical practice.

UNASSIGNED: Urosepsis is a life-threatening medical condition due to a systemic infection that originates in the urinary tract. Early diagnosis and treatment of urosepsis are critical to reducing mortality rates and preventing complications. Our study was aimed at identifying a fast and reliable method for early urosepsis diagnosis and severity assessment by combining prognostic scores such as SOFA and NEWS with ultrasound examination and serum markers PCT and NLR.
UNASSIGNED: We performed a single-center prospective observational study in the Craiova Clinical Emergency Hospital. It initially analysed 204 patients admitted for sepsis of various origins in our hospital between June and October 2023. Those with urological conditions that were suspected to have urosepsis have been selected for the study so that finally 76 patients were included as follows: the severe cases with persistent hypotension requiring vasopressor were enrolled in the septic shock group (15 patients - 19.7%), while the rest were included in the sepsis group (61 patients - 80.3%). Mortality rate in our study was 10.5% (8/76 deaths due to sepsis).
UNASSIGNED: Both prognostic scores SOFA and NEWS were significantly elevated in the septic shock group, as were the sepsis markers PCT and NLR. We identified a strong significant positive correlation between the NEWS and SOFA scores (r = 0.793) as well as PCT and NLR (r=0.417). Ultrasound emergency evaluation proved to be similar to CT scan in the diagnosis of urosepsis (RR = 0.944, p=0.264). ROC analysis showed similar diagnostic performance for both scores (AUC = 0.874 for SOFA and 0.791 for NEWS), PCT and NLR (AUC = 0.743 and 0.717).
UNASSIGNED: Our results indicate that an accurate and fast diagnosis of urosepsis and its severity may be accomplished by combining the use of simpler tools like emergency ultrasound, the NEWS score and NLR which provide a similar diagnosis performance as other more complex evaluations.

Background and Objectives: Sepsis involves a dysregulated host response, characterized by simultaneous immunosuppression and hyperinflammation. Initially, there is the release of pro-inflammatory factors and immune system dysfunction, followed by persistent immune paralysis leading to apoptosis. This study investigates sepsis-induced apoptosis and its pathways, by assessing changes in PD-1 and PD-L1 serum levels, CD4+ and CD8+ T cells, and Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE II) severity scores. Materials and Methods: This prospective, observational, single-centre study enrolled 87 sepsis patients admitted to the intensive care unit at the County Emergency Clinical Hospital in Târgu Mureș, Romania. We monitored the parameters on day 1 (the day sepsis or septic shock was diagnosed as per the Sepsis-3 Consensus) and day 5. Results: Our study found a statistically significant variation in the SOFA score for the entirety of the patients between the studied days (p = 0.001), as well as for the studied patient groups: sepsis, septic shock, survivors, and non-survivors (p = 0.001, p = 0.003, p = 0.01, p = 0.03). On day 1, we found statistically significant correlations between CD8+ cells and PD-1 (p = 0.02) and PD-L1 (p = 0.04), CD4+ and CD8+ cells (p < 0.0001), SOFA and APACHE II scores (p < 0.0001), and SOFA and APACHE II scores and PD-L1 (p = 0.001 and p = 0.01). On day 5, we found statistically significant correlations between CD4+ and CD8+ cells and PD-L1 (p = 0.03 and p = 0.0099), CD4+ and CD8+ cells (p < 0.0001), and SOFA and APACHE II scores (p < 0.0001). Conclusions: The reduction in Th CD4+ and Tc CD8+ lymphocyte subpopulations were evident from day 1, indicating that apoptosis is a crucial factor in the progression of sepsis and septic shock. The increased expression of the PD-1/PD-L1 axis impairs costimulatory signalling, leading to diminished T cell responses and lymphopenia, thereby increasing the susceptibility to nosocomial infections.

The heterogeneity nature of sepsis is significantly impacted by the site of infection. This study aims to explore the predictive value of multiple scoring systems in assessing the prognosis of septic patients across different infection sites. Data for this retrospective cohort study were extracted from the Medical Information Mart for Intensive Care IV database (MIMIC-IV) (v2.2). Adult patients meeting the criteria for sepsis 3.0 and admitted to the intensive care unit (ICU) were enrolled. Infection sites included were pneumonia, urinary tract infection (UTI), cellulitis, abdominal infection, and bacteremia. The primary outcome assessed was 28-day mortality. The sequential Organ Failure Assessment (SOFA) score, Oxford Acute Severity of Illness Score (OASIS), and Logistic Organ Dysfunction System (LODS) score were compared. Binomial logistic regression analysis was conducted to evaluate the association between these variables and mortality. Additionally, differences in the area under the curve (AUC) of receiver operating characteristic (ROC) among the scoring systems were analyzed. A total of 4721 patients were included in the analysis. The average 28-day mortality rate was 9.4%. Significant differences were observed in LODS, OASIS, and SOFA scores between the 28-day survival and non-survival groups across different infection sites (p < 0.01). In the pneumonia group and abdominal infection group, both the LODS and OASIS scoring systems emerged as independent risk factors for mortality in septic patients (odds ratio [OR]: 1.165, 95% confidence interval [CI]: 1.109-1.224, p < 0.001; OR: 1.047, 95% CI: 1.028-1.065, p < 0.001) (OR: 1.200, 95% CI: 1.091-1.319, p < 0.001; OR: 1.060, 95% CI: 1.025-1.095, p < 0.001). For patients with UTI, the LODS, OASIS, and SOFA scoring systems were identified as independent risk factors for mortality (OR: 1.142, 95% CI: 1.068-1.220, p < 0.001; OR: 1.062, 95% CI: 1.037-1.087, p < 0.001; OR: 1.146, 95% CI: 1.046-1.255, p = 0.004), with the AUC of LODS score and OASIS significantly higher than that of the SOFA score (p = 0.006). Among patients with cellulitis, the OASIS and SOFA scoring systems were identified as independent risk factors for mortality (OR: 1.055, 95% CI: 1.007-1.106, p = 0.025; OR: 1.187, 95% CI: 1.005-1.403, p = 0.044), with no significant difference in prognosis prediction observed (p = 0.243). In the bacteremia group, the LODS scoring system was identified as an independent risk factor for mortality (OR: 1.165, 95% CI: 1.109-1.224, p < 0.001). The findings suggest that LODS scores offer better prognostic accuracy for predicting the mortality risk in septic patients with pneumonia, abdominal infections, bacteremia, and UTI compared to SOFA scores.