Is serum albumin a pivotal biomarker in anticipating acute pancreatitis outcomes?

This study aimed to assess the significance of serum albumin levels within 24 h of patient admission in correlation with the incidence of outcomes and mortality in patients diagnosed with acute pancreatitis. A retrospective study was conducted over a 5-year period, from January 2018 to December 2023, at the Mohammed VI University Hospital in Oujda, Morocco. The study included 371 patients diagnosed with acute pancreatitis. Hypoalbuminemia (≤ 30 g/L) was observed in 124 patients (33.4% of cases), and these patients had a higher mean age compared to those with normal albumin levels (P = 0.003). Hypoalbuminemia was significantly associated with persistent Systemic Inflammatory Response Syndrome (SIRS) (70.8% vs. 29.2%, P = 0.000), a higher BISAP score (66.7% vs. 33.3%, P = 0.000), and a higher CTSI score (51.7% vs. 48.3%, P = 0.000). Hypoalbuminemia was also associated with the presence of pleural effusion (P = 0.000). The mortality in the sample was 4.6%, and it was significantly associated with hypoalbuminemia (76.5%, P = 0.000). In conclusion, serum albumin levels within 24 h of patient admission appear to be a significant prognostic biomarker in acute pancreatitis, particularly in anticipating persistent organ failure and mortality.

The value of surfactant protein a in evaluating the severity and prognosis in community-acquired pneumonia patients.

BACKGROUND: Previous research has discovered that surfactant protein A (SP-A) is involved in the pathophysiology processes of certain lung illnesses. However, no definitive clinical studies have delved into the function of SP-A in individuals afflicted with community-acquired pneumonia (CAP). A prospective cohort study was used to investigate the relationships between blood SP-A levels and the severity and prognosis among CAP patients. MATERIALS AND METHODS: This study included 260 patients with CAP. Clinical traits and demographic data were examined during hospitalization. The concentrations of serum SP-A and serum interleukin-6 (IL-6) were determined by enzyme-linked immunosorbent assay (ELISA). In addition, to evaluate the severity of CAP, a variety of scores, including the CURB-65, PSI, SMART-COP, and APACHE II, were employed. RESULTS: The serum levels of SP-A at admission exhibited a gradual decline as the severity scores of CAP increased. Through Spearman correlation analysis, we observed an association between serum SP-A and some clinical indicators among CAP patients. Furthermore, results from a multiple linear regression model suggested changes in PSI scores (-17.868 scores, 95% CI: -32.743, -2.993) affect serum SP-A more than CURB-65 (-0.547 scores, 95% CI: -0.964, -0.131), SMART-COP (-1.097 scores, 95% CI: -1.889, -0.304) and APACHE II (-3.475 scores, 95% CI: -5.874, -1.075) with age, hypertension, diabetes mellitus, cerebral infarction, coronary heart disease, and bronchitis adjusted. In addition, the prognosis in CAP patients was monitored. Throughout their hospital stay, higher serum levels of SP-A decreased the risks of mechanical ventilation (RR: 0.315; 95% CI: 0.106, 0.937), vasoactive agents (RR: 0.165; 95% CI: 0.034, 0.790), intensive care unit (ICU) admissions (RR: 0.218; 95% CI: 0.066, 0.717) and longer hospital stays (RR: 0.397; 95% CI: 0.167, 0.945). CONCLUSION: In CAP patients, inverse dose-response correlations exist between serum SP-A levels with severity scores as well as prognosis at admission, suggesting that SP-A may take part in the CAP pathophysiological processes. Moreover, lower serum SP-A on admission is associated with an elevated prognostic risk of mechanical ventilation, the use of vasoactive agents, longer hospital stays, ICU admission, and mortality. Therefore, as a biomarker, SP-A may have the potential to predict the severity and poor prognosis of CAP patients.

Severity scores, damage indices and the concept of the colchicine-resistant patient in familial Mediterranean fever.

Familial Mediterranean fever (FMF) is a common autoinflammatory disease. The primary treatment is colchicine; however, 5-10% of patients do not respond to colchicine and are considered colchicine resistant. Colchicine resistance and disease severity are highly associated, with each used to assess and define the other. In our review, we examined the most commonly used severity scores, damage indices, and definitions of colchicine resistance, revealing both shortcomings and advantages for each. We emphasize the necessity for a new severity score that integrates the definition of colchicine resistance.

Comparative Evaluation of Mortality Predictors in Trauma Patients: A Prospective Single-center Observational Study Assessing Injury Severity Score Revised Trauma Score Trauma and Injury Severity Score and Acute Physiology and Chronic Health Evaluation II Scores.

Aim: This prospective cohort study aimed to compare the predictive accuracy of outcome (survival/death) among trauma patients using various prognostic scores. Methods: Over 3 months, 240 trauma patients in a tertiary care hospital were assessed for demographic details, trauma characteristics, vital signs, Glasgow coma scale, arterial blood gas values, and lab markers. Injury severity score (ISS), revised trauma score (RTS), trauma and injury severity score (TRISS), and acute physiology and chronic health evaluation II (APACHE II) were applied at admission, 24 hours, and 48 hours post-admission. Results: Road traffic accidents (55.83%) were the primary cause of trauma, followed by falls (33.75%) and violence (10.41%). The all-cause mortality rate was 23.33%, with 34.16% requiring ICU admission. Head injuries (65.83%) were both the most frequent injury site and cause of mortality. Conclusion: Analysis indicated that APACHE II outperformed other scores in predicting outcomes, with ISS following closely. The study concludes that trauma severity correlates with ICU admission and mortality, emphasizing APACHE II as a superior predictor, particularly for traumatic brain injuries leading to ICU admission and mortality. Clinical significance: This study contributes to the existing body of knowledge by addressing the gap in comparing prognostic abilities among scoring systems for trauma patients. The unexpected superiority of APACHE II suggests its potential as a valuable tool in predicting outcomes in this specific patient population. How to cite this article: Gupta J, Kshirsagar S, Naik S, Pande A. Comparative Evaluation of Mortality Predictors in Trauma Patients: A Prospective Single-center Observational Study Assessing Injury Severity Score Revised Trauma Score Trauma and Injury Severity Score and Acute Physiology and Chronic Health Evaluation II Scores. Indian J Crit Care Med 2024;28(5):475-482.

Prognostic Value of Acute Gastrointestinal Injury Combined with Disease Severity Scores in Critically Ill Patients.

Background: Critically ill patients are at high risk of multiple organ failure syndrome (MODS) and gastrointestinal (GI) injury and dysfunction, which are associated with increased mortality rates. The acute gastrointestinal injury (AGI) scale has shown promise in assessing GI dysfunction. However, the combined utility of AGI with established disease severity scores remains unclear. This study aimed to investigate the performance of AGI in conjunction with modified nutritional risk in critically ill (mNUTRIC), sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHE II) scores for predicting mortality in critically ill patients. Materials and methods: A retrospective cross-sectional study was conducted in the intensive care unit (ICU) from May 2021 to December 2021. Demographic and clinical data were collected, including AGI grade, mNUTRIC score, SOFA score, APACHE II score, and mortality. Results: Among 93 critically ill patients, AGI was observed in 47.3% of cases, and the in-hospital mortality rate was 30.1%. The area under the curve (AUC) for AGI in predicting in-hospital mortality was 0.67 [95% confidence interval (CI), 0.56, 0.79; p = 0.008], similar to the AUCs of SOFA, APACHE II, and mNUTRIC scores. The combination of AGI with mNUTRIC, APACHE II, or SOFA scores improved the predictive performance compared with AGI alone. Conclusion: The AGI grade, in conjunction with disease severity scores, such as mNUTRIC, SOFA, and APACHE II scores, shows promise in predicting mortality in critically ill patients. Integrating AGI into evaluating critically ill patients can enhance prognostic accuracy. How to cite this article: Hai PD, Tot NH, Thao LT, Khoa Q, Thien DH. Prognostic Value of Acute Gastrointestinal Injury Combined with Disease Severity Scores in Critically Ill Patients. Indian J Crit Care Med 2024;28(6):575-580.

Synergizing Survival: Uniting Acute Gastrointestinal Injury Grade and Disease Severity Scores in Critical Care Prognostication.

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.

Prepandemic viral community-acquired pneumonia: Diagnostic sensitivity and specificity of nasopharyngeal swabs and performance of clinical severity scores.

The objectives of this work were to assess the diagnostic sensitivity and specificity of nasopharyngeal (NP) swabs for viral community-acquired pneumonia (CAP) and the performance of pneumonia severity index (PSI) and CURB-65 severity scores in the viral CAP in adults. A prospective observational cohort study of consecutive 341 hospitalized adults with CAP was performed between January 2018 and March 2020. Demographics, comorbidities, symptoms/signs, analytical data, severity scores, antimicrobials, and outcomes were recorded. Blood, NP swabs, sputum, and urine samples were collected at admission and assayed by multiplex real time-PCR, bacterial cultures, and Streptococcus pneumoniae and Legionella pneumophila antigens detection, to determine the etiologies and quantify the viral load. The etiology was identified in 174 (51.0%) patients, and in 85 (24.9%) it was viral, the most frequent rhinovirus and influenza virus. The sensitivity of viral detection in sputum (50.7%) was higher than in NP swabs (20.9%). Compared with sputum, the positive predictive value and specificity of NP swabs for viral diagnosis were 95.8% and 96.9%, respectively. Performance of PSI and CURB-65 scores in all CAP with etiologic diagnosis were as expected, with mortality associated with higher values, but they were not associated with mortality in patients with viral pneumonia. NP swabs have lower sensitivity but high specificity for the diagnosis of viral CAP in adults compared with sputum, reinforcing the use NP swabs for the diagnostic etiology work-up. The PSI and CURB-65 scores did not predict mortality in the viral CAP, suggesting that they need to be updated scores based on the identification of the etiological agent.

Severity scores for status epilepticus in the ICU: systemic illness also matters.

BACKGROUND: Current prognostic scores for status epilepticus (SE) may not be adequate for patients in ICU who usually have more severe systemic conditions or more refractory episodes of SE. We aimed to compare the prognostic performance of two SE scores, Status Epilepticus Severity Score (STESS) and Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) score, with four systemic severity scores, Acute Physiology and Chronic Health Evaluation 2 (APACHE-2), Simplified Acute Physiology Score 2 (SAPS-2), Sequential Organ Failure Assessment (SOFA) score, and Inflammation, Nutrition, Consciousness, Neurologic function and Systemic condition (INCNS) score in critically ill patients with SE. METHODS: This retrospective observational study of a prospectively identified SE cohort was conducted in the ICU at a tertiary-care center. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and associations with outcomes of STESS, EMSE, INCNS, APACHE-2, SAPS-2, and SOFA score for the prediction of in-hospital mortality and no return to baseline condition were assessed. RESULTS: Between January 2015 and December 2020, 166 patients with SE in ICU were included in the study. In predicting in-hospital death, APACHE-2 (0.72), SAPS-2 (0.73), and SOFA score (0.71) had higher AUCs than STESS (0.58) and EMSE (0.69). In predicting no return to baseline condition, the AUC of APACHE-2 (0.75) was the highest, and the AUC of INCNS (0.55) was the lowest. When the specificity approached 90%, the sensitivity values of these scores were not quite acceptable (< 40%). Neither SE scores nor systemic severity scores had desirable prognostic power. In the multivariate logistic regression analyses, the best combinations of scores always included at least one or more systemic severity scores. CONCLUSIONS: STESS and EMSE were insufficient in outcome prediction for SE patients in ICU, and EMSE was marginally better than STESS. Systemic illness matters in ICU patients with SE, and SE scores should be modified to achieve better accuracy in this severely ill population. This study mostly refers to severely ill patients in the ICU.

Comparison of CRIB-II with SNAPPE-II for predicting survival and morbidities before hospital discharge in neonates with gestation ≤ 32 weeks: a prospective multicentric observational study.

Various studies validated and compared Score for Neonatal Acute Physiology with Perinatal extension-II (SNAPPE-II) and Clinical Risk Index for Babies-II (CRIB-II) admission sickness severity scores for predicting survival, but very few studies compared them for predicting the morbidities in preterm infants. In this multicenter prospective observational study, SNAPPE-II and CRIB-II newborn illness severity scores were compared for predicting mortality and morbidities in infants with gestational age of ≤ 32 weeks. Major morbidities were classified as bronchopulmonary dysplasia, abnormal cranial ultrasound (presence of intraventricular hemorrhage grade III or more or periventricular leukomalacia grade II to IV), and retinopathy of prematurity requiring treatment. Combined adverse outcome was defined as death or any major morbidity. Comparison of the scoring systems was done by area under the curve (AUC) on receiver operating characteristics curve (ROC curve) analysis. A total of 419 neonates who were admitted to 5 participating NICUs were studied. The mortality rate in the study population was 8.8%. Both CRIB-II (AUC: 0.795) and SNAPPE-II (AUC: 0.78) had good predictive ability for in-hospital mortality. For predicting any one of the major morbidities and combined adverse outcome, CRIB-II had better predictive ability than SNAPPE-II with AUC of 0.83 vs. 0.70 and 0.85 vs. 0.74, respectively. CONCLUSION: In infants with gestational age of ≤ 32 weeks, both CRIB-II and SNAPPE-II are good scoring systems for predicting mortality. CRIB-II, being a simpler scoring system and having better predictive ability for major morbidities and combined adverse outcome, is preferable over SNAPPE-II. WHAT IS KNOWN: • SNAPPE-II and CRIB-II scores have good predictive ability on in-hospital mortality in preterm neonates. WHAT IS NEW: • SNAPPE-II and CRIB-II both have good predictive ability for mortality, but CRIB-II has better ability for short-term morbidities related to the prematurity.

Derivation and Validation of a Novel Severity Scoring System for Pneumonia at Intensive Care Unit Admission.

BACKGROUND: Severity stratification scores developed in intensive care units (ICUs) are used in interventional studies to identify the most critically ill. Studies that evaluate accuracy of these scores in ICU patients admitted with pneumonia are lacking. This study aims to determine performance of severity scores as predictors of mortality in critically ill patients admitted with pneumonia. METHODS: Prospective cohort study in a general ICU in Brazil. ICU severity scores (Simplified Acute Physiology Score 3 [SAPS 3] and Sepsis-Related Organ Failure Assessment [qSOFA]), prognostic scores of pneumonia (CURB-65 [confusion, urea, respiratory rate, blood pressure, age] and CRB-65 [confusion, respiratory rate, blood pressure, age]), and clinical and epidemiological variables in the first 6 hours of hospitalization were analyzed. RESULTS: Two hundred patients were included between 2015 and 2018, with a median age of 81 years (interquartile range, 67-90 years) and female predominance (52%), primarily admitted from the emergency department (65%) with community-acquired pneumonia (CAP, 80.5%). SAPS 3, CURB-65, CRB-65,and qSOFA all exhibited poor performance in predicting mortality. Multivariate regression identified variables independently associated with mortality that were used to develop a novel pneumonia-specific ICU severity score (Pneumonia Shock score) that outperformed SAPS 3, CURB-65, and CRB-65. The Shock score was validated in an external multicenter cohort of critically ill patients admitted with CAP. CONCLUSIONS: We created a parsimonious score that accurately identifies patients with pneumonia at highest risk of ICU death. These findings are critical to accurately stratify patients with severe pneumonia in therapeutic trials that aim to reduce mortality.

Serum interleukin-17 predicts severity and prognosis in patients with community acquired pneumonia: a prospective cohort study.

BACKGROUND: Some studies previously demonstrated that interleukin-17 (IL-17) involves in pulmonary diseases progression. Nevertheless, the role of IL-17 in community-acquired pneumonia (CAP) remains unknown. This study aims to examine the correlations between serum IL-17 with the severity and prognosis in CAP patients through a prospective cohort study. METHODS: All 239 CAP patients were recruited. Serum IL-17 was detected by enzyme-linked immunosorbent assay (ELISA). The CAP severity was evaluated through CAP severity scores, including CURB-65, CRB-65, PSI, SMART-COP, CURXO and APACHE II. RESULTS: Serum IL-17 was gradually increased consistent with the severity of CAP. Correlative analysis suggested that serum IL-17 was associated with clinical physiologic indicators among CAP patients. Logistic regression indicated that serum IL-17 was positively related to CAP severity scores. Additionally, the prognostic outcomes were tracked among CAP patients. The levels of IL-17 on admission were significantly increased in CAP patients with ICU admission, mechanical ventilation, vasoactive agent, death and longer hospitalization days. Logistic regression analyses revealed serum higher IL-17 on admission elevated the risks of vasoactive agent usage and longer hospital stays in CAP patients. The cut-off concentrations of serum IL-17 for death, ICU admission, mechanical ventilation and ≥ 14 hospital stays were 86.80 ng/mL, 84.92 ng/mL, 84.92 ng/mL and 60.29 ng/mL respectively. CONCLUSIONS: Serum IL-17 on admission is positively associated with the severity and poor prognosis among CAP patients, revealing that IL-17 may implicate in the pathological process of CAP. Therefore, serum IL-17 may become an effective biomarker for diagnosis, prognosis and therapy for CAP patients.

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.

BACKGROUND: Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called "weights" or "subscores") into a final score (or probability) for quantifying the severity of critical illness (or the likelihood of in-hospital mortality). Although these simple additive models are human readable and interpretable, their predictive performance needs to be further improved. METHODS: We present OASIS +, a variant of the Oxford Acute Severity of Illness Score (OASIS) in which an ensemble of 200 decision trees is used to predict in-hospital mortality based on the 10 same clinical variables in OASIS. RESULTS: Using a test set of 9566 admissions extracted from the MIMIC-III database, we show that OASIS + outperforms nine previously developed severity scoring methods (including OASIS) in predicting in-hospital mortality. Furthermore, our results show that the supervised learning algorithms considered in our experiments demonstrated higher predictive performance when trained using the observed clinical variables as opposed to OASIS subscores. CONCLUSIONS: Our results suggest that there is room for improving the prognostic accuracy of the OASIS severity scores by replacing the simple linear additive scoring function with more sophisticated non-linear machine learning models such as RF and XGB.

Obstructive sleep apnea is associated with worse clinical-radiological risk scores of pulmonary embolism.

Obstructive sleep apnea is a risk factor for pulmonary embolism, although its association with pulmonary embolism severity is unknown. Our objective was to study if obstructive sleep apnea is associated with worse pulmonary embolism severity scores and greater extent of arterial obstruction. In consecutive pulmonary embolism patients, we performed respiratory polygraphy and recorded sleep characteristics, classical risk factors for pulmonary embolism and physical activity 6-12 months after the pulmonary embolism episode. Simplified Geneva Prognostic Score and Pulmonary Embolism Severity Index were calculated at the time of the pulmonary embolism diagnosis. The Pulmonary Artery Obstruction Index and the right ventricle to left ventricle diameter ratio were measured by computed tomography pulmonary angiography. We included 120 patients, of whom 45.8% had moderate-severe obstructive sleep apnea (apnea-hypopnea index > 15 hr-1 ). There was a larger proportion of moderate-severe obstructive sleep apnea patients in the third and fourth Pulmonary Artery Obstruction Index quartiles and in the III-V Pulmonary Embolism Severity Index levels compared with apnea-hypopnea index < 15 hr-1 group. However, no differences were found between the proportion of patients with or without moderate-severe obstructive sleep apnea in their stratification by simplified Geneva Prognostic Score. The mean adjusted values of the simplified Geneva Prognostic Score, Pulmonary Embolism Severity Index and Pulmonary Artery Obstruction Index scores were higher in the apnea-hypopnea index > 15 hr-1 group (p < .05). Multiple linear regression analysis identified apnea-hypopnea index as the only independent factor related to Pulmonary Artery Obstruction Index and Pulmonary Embolism Severity Index, whereas desaturation index was associated with simplified Geneva Prognostic Score. Patients with pulmonary embolism and moderate-severe obstructive sleep apnea had greater pulmonary artery obstruction as well as more pulmonary embolism severity, assessed by both the simplified Geneva Prognostic Score and the Pulmonary Embolism Severity Index, compared with patients with apnea-hypopnea index ≤ 15 hr-1 . Moreover, these prognostic indices were independently related to sleep parameters.

Comparison of pneumonia severity scores for patients diagnosed with pneumonia in emergency department.

BACKGROUND & OBJECTIVES: : Sepsis due to pneumonia or pneumonia itself is one of the main causes of deaths in patients despite the advanced treatment methods. The optimal prognostic tool in pneumonia is still not clear. This study was aimed to compare the pneumonia severity scores and the possibility of using the new scores in patients who were diagnosed with pneumonia in the emergency department. METHODS: : Demographic data, laboratory and imaging results, confusion, elevated blood urea nitrogen, respiratory rate and blood pressure plus age ≥65 yr (CURB-65), pneumonia severity index (PSI), national early warning score (NEWS), NEWS-lactate (NEWS-L) scores, hospitalization, referral, discharge and 30-day mortality of patients who were diagnosed with pneumonia in emergency department were recorded. RESULTS: : A total of 250 patients were included in the study. The most successful score in predicted mortality was found to be NEWS-L. This was followed by NEWS, CURB-65 and PSI, respectively. Most successful scores in anticipation of admission to the intensive care unit were NEWS-L followed by NEWS. This was followed by CURB-65 and PSI scores, respectively. The most successful score in anticipation of hospital admission was NEWS-L, followed by NEWS, CURB-65 and PSI, respectively. There was a significant difference between all pneumonia severity scores of the patients who died and survived within 30 days. There was a significant difference between the scores of patients in intensive care unit (ICU) and service, compared to non-ICU patients. INTERPRETATION & CONCLUSIONS: : NEWS-L score was found to be the most successful score in predicting mortality, ICU admission and hospitalization requirement. Both NEWS-L and NEWS scores can be used in determining the mortality, need for hospitalization and intensive care of the patients with pneumonia in the emergency department.

Beta-blockers' effect on Levels of Lactate in patients with suspected sepsis - The BeLLa study.

OBJECTIVE: In the assessment and management of septic patients in the emergency department (ED), serum lactate is often measured to stratify severity to guide decision making. Increased adrenergic drive has been postulated as a contributory factor for hyperlactatemia in sepsis. We aim to prospectively evaluate the effect of chronic beta-blocker use on serum lactate levels in sepsis at initial presentation to the ED. METHODS: We conducted a prospective observational study at the ED of a tertiary care academic medical center in Singapore. One hundred and ninety-five ED patients who fulfilled all of the following: (1) age 45 years and above, (2) tympanic temperature ≥ 37.8 °C or clinically suspected to have an infection, and (3) quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA) score ≥ 1 were included in the study. Serum venous lactate was sampled within two hours from presentation to the ED. The primary outcome measure was the difference in initial serum venous lactate concentration at presentation to the ED in patients on chronic beta-blockers versus patients without. RESULTS: Seventy patients (35.9%) were on long-term beta-blocker therapy. The primary outcome of mean initial serum venous lactate concentration was similar between patients prescribed chronic beta-blocker therapy and patients without (1.78 mmol/L versus 1.70 mmol/L, p = .540). Chronic beta-blocker therapy also did not significantly affect mean initial serum venous lactate concentration across all subgroups of sepsis risk stratification. CONCLUSIONS: Long-term beta-blocker therapy did not significantly affect initial serum venous lactate concentration in ED patients with suspected sepsis.

Acute lower gastrointestinal bleeding: are STRATE and BLEED scores valid in clinical practice?

AIM: Acute lower gastrointestinal bleeding (ALGIB) is a common gastroenterological emergency. Despite this, outcomes are difficult to predict. Only STRATE and BLEED scores are readily available. The aim of this study was to identify risk factors for severe ALGIB and access the validity of available scores. METHODS: Emergency consecutive admissions for ALGIB in the last 7 years were retrospectively reviewed. Severe ALGIB was defined as transfusion of ≥ 2 units of blood and/or a haematocrit decrease of ≥ 20% within the first 24 h and/or recurrent bleeding after 24 h of stability. STRATE and BLEED scores were calculated and concordance between score and respective severity outcome was accessed. RESULTS: A total of 132 patients were identified. Bleeding presented as haematochezia in 94.7% and was severe in 36.4% of cases. ALGIB was significantly more severe in patients with lower systolic (P = 0.02) and diastolic blood pressures on admission (P < 0.01), lower admission haemoglobin (P < 0.01), diverticular bleeding (P < 0.01), angioectasias (P = 0.02) and radiation colitis (P < 0.02). Severe ALGIB was associated with admission intermediate care units (P < 0.01), increased length of stay (P < 0.01) and volume of blood transfused (P < 0.01). We identified no significant association between outcomes with either the STRATE (P = 0.72) or BLEED scores (P = 0.05). CONCLUSIONS: Severe ALGIB is associated with greater length of stay, volume of blood transfusions and admission to greater level of care units. In our cohort, STRATE and BLEED scores were poor predictors of outcome.

Viral prevalence, clinical profiles and comparison of severity scores for predicting the mortality of adults with severe acute respiratory infections

Background/aim: The aim of this study was to determine the accuracy of severity scores for predicting the 28-day mortality among adults with severe acute respiratory infection (SARI) admitted to the emergency department. Materials and methods: This study included 159 consecutive adult patients with SARI admitted to the emergency department of a tertiary hospital. A standard form was filled out in order to record demographic information, clinical parameters, laboratory tests, and radiographic findings of the patients. CURB-65, PSI, SIRS, qSOFA, SOFA and APACHE II scores were compared between the survivor and nonsurvivor groups. Results: Of 159 patients included in the study, 38.4% were positive for respiratory viruses and 28.3% were positive for influenza viruses. 35.8% of the patients were admitted to an intensive care unit (ICU) and the mortality rate was 36.5%. The area under the receiver operating characteristic curve of CURB-65, PSI, SIRS criteria, qSOFA, SOFA and APACHE II scores were 0.717, 0.712, 0.607, 0.683, 0.755, and 0.748, respectively in predicting mortality and 0.759, 0.744, 0.583, 0.728, 0.741, and 0.731, respectively in predicting ICU admission. Conclusion: SOFA and APACHE II were more accurate than SIRS in predicting the 28-day mortality among adults with SARI. There was no significant difference among these scores in terms of other multivariate comparisons.

Drug-induced acute liver failure in children and adults: Results of a single-centre study of 128 patients.

BACKGROUND & AIMS: Drugs producing acute liver failure (ALF) are uncommon and vary geographically. Here we review the implicated drugs, clinical features, laboratory characteristics and outcome of patients with drug-induced ALF (DIALF). We analysed the predictors of mortality and their relationship with MELD, King's College criteria (KCC) and ALFSG prognostic index. METHODS: We identified DIALF patients from our drug-induced liver injury (DILI) registry (1997-2017). RUCAM was used for case adjudication. Patients who fulfilled criteria for acute liver failure and drug-induced liver injury were included. Primary outcome measure was spontaneous survival or death. RESULTS: There were 128 cases of DIALF (14%) among 905 patients with DILI. Mean age was 38 years, 68 (53%) female and 21(16.4%) children <18 years. Combination anti-TB drugs (ATD) (n = 92, 72.4%) accounted for a majority of DIALF. Others were anti-epileptic drugs (AED, n = 11, 10%), dapsone (n = 7, 5.5%), hormones (n = 2), ferrous sulphate overdose (n = 2), acetaminophen (APAP) (n = 2), antiretroviral (n = 2), CAM (N = 2), chemotherapy agents (N = 3), amoxicillin-clavulanic acid (n = 2) and others (n = 3). Forty-four patients (34%) recovered spontaneously and 84(66%) including 13 children (62%) died. Females, ascites, albumin, bilirubin, INR and MELD were significantly associated with mortality. Mortality was 79% for ATD and 100% for APAP and iron overdose. Area under ROC was 0.76 for MELD and ALFSG index and 0.51 for KCC. CONCLUSIONS: Fourteen percent of DILI resulted in DIALF. ATD, AED, dapsone and antiretroviral drugs are most common agents. Spontaneous survival was only 34% with an even higher mortality with ATD. Non-ATD and non-APAP drugs had a better survival (51%).INR and MELD predicted mortality.

Use of Severity Grades to Characterize Histopathologic Changes.

The severity grade is an important component of a histopathologic diagnosis in a nonclinical toxicity study that helps distinguish treatment-related effects from background findings and aids in determining adverse dose levels during hazard characterization. Severity grades should be assigned based only on the extent (i.e., amount and complexity) of the morphologic change in the examined tissue section(s) and be clearly defined in the pathology report for critical lesions impacting study interpretation. However, the level of detail provided and criteria by which severity grades are assigned can vary, which can lead to inappropriate comparisons and confusion when evaluating pathology results. To help address this issue, a Working Group of the Society of Toxicologic Pathology's Scientific and Regulatory Policy Committee was formed to provide a "points to consider" article on the assignment and application of pathology severity grades. Overall, the Working Group supports greater transparency and consistency in the reporting of grading scales and provides recommendations to improve selection of diagnoses requiring more detailed severity criteria. This information should enhance the overall understanding by toxicologic pathologists, toxicologists, and regulatory reviewers of pathology findings and thereby improve effective communication in regulatory submissions.

[Medical information system (PMSI) does not adequately identify severe trauma]. / La codification PMSI identifie mal les traumatismes graves.

BACKGROUND: Resource allocation to hospitals is highly dependent on appropriate case coding. For trauma victims, the major diagnosis-coding category (DCC) is multiple trauma (DCC26), which triggers higher funding. We hypothesized that DCC26 has limited capacity for appropriate identification of severe trauma victims. METHODS: We studied Injury Severity Score (ISS), Trauma Related Injury Severity Score (TRISS) and in-hospital mortality using data recorded in three level 1 trauma centers over a 2-year period. Patients were divided into two groups: DCC26 and non-DCC26. For non-DCC26 patients, two subgroups were identified: patients with severe head trauma and patients with spinal trauma. Clinical endpoints were mortality, ISS>15 and TRISS, IGS II. Use of hospital resources was estimated using funding and expenditures associated with each patient. RESULTS: During the study period, 2570 trauma victims were included in the analysis. These patients were 39±18 years old, with median ISS=14, and observed mortality=10 %. Group DCC26 had 811 (31 %) patients, group non-DCC26 1855 (69 %) patients. DCC26 coding identified a more severely injured group of patients. However, in the group non-DCC26, there was a high proportion of severe trauma (ISS>15: 35 %; TRISS<0.95: 9 %). CONCLUSION: DCC26 is not an appropriate coding for severe trauma patients. For these patients, expenditures will include intensive care and rare and costly resources. We propose to take into account the TRISS score to improve trauma coding.