Multiple Organ Dysfunction Score Research Articles

Validity of different scoring systems in prediction of intensive care unit admission and mortality in acute organophosphate poisoning.

Organophosphate compounds (OPCs) pose significant health risks, especially in developing countries with limited resources. Predicting outcomes in OPCs poisoning is crucial for guiding clinical management and reducing mortality rates. The aim of this study to evaluate the validity of different scoring systems Rapid Emergency Medicine Score, Multiple Organ Dysfunction Score, Acute Physiology and Chronic Health Evaluation Score, and Poison Severity Score in prediction of intensive care unit (ICU) admission and mortality of acute OPCs poisoning patients. A cross-sectional study was conducted on 103 patients admitted to Xx Poison Control Center between May 2022 and June 2023. Scoring systems were applied at admission, and their performance in predicting the need for ICU admission and mortality was evaluated using receiver operating characteristic (ROC) curve analysis. Most patients survived (92.2%). Only 13.6% of the patients required ICU admission. Significant differences in median scores were observed between survivors and non-survivors and between patients requiring ICU admission and those who did not. Multiple Organ Dysfunction Score exhibited the highest discriminatory power for predicting both ICU admission (AUC=0.983) and mortality (AUC=0.999). The findings highlight the importance of utilizing scoring systems, particularly Multiple organ dysfunction score, for prediction of poor outcomes of acute OPCs poisoning.

RENAL DYSFUNCTION IN PRETERM INFANTS WITH PERINATAL PATHOLOGY: RISK FACTORS, SENSITIVITY AND SPECIFICITY OF LABORATORY MARKERS OF DAMAGE

RENAL DYSFUNCTION IN PRETERM INFANTS WITH PERINATAL PATHOLOGY: RISK FACTORS, SENSITIVITY AND SPECIFICITY OF LABORATORY MARKERS OF DAMAGE

Dexamethasone versus methylprednisolone for multiple organ dysfunction in COVID-19 critically ill patients: a multicenter propensity score matching study

BackgroundDexamethasone usually recommended for patients with severe coronavirus disease 2019 (COVID-19) to reduce short-term mortality. However, it is uncertain if another corticosteroid, such as methylprednisolone, may be utilized to obtain better clinical outcome. This study assessed dexamethasone’s clinical and safety outcomes compared to methylprednisolone.MethodsA multicenter, retrospective cohort study was conducted between March 01, 2020, and July 31, 2021. It included adult COVID-19 patients who were initiated on either dexamethasone or methylprednisolone therapy within 24 h of intensive care unit (ICU) admission. The primary outcome was the progression of multiple organ dysfunction score (MODS) on day three of ICU admission. Propensity score (PS) matching was used (1:3 ratio) based on the patient’s age and MODS within 24 h of ICU admission.ResultsAfter Propensity Score (PS) matching, 264 patients were included; 198 received dexamethasone, while 66 patients received methylprednisolone within 24 h of ICU admission. In regression analysis, patients who received methylprednisolone had a higher MODS on day three of ICU admission than those who received dexamethasone (beta coefficient: 0.17 (95% CI 0.02, 0.32), P = 0.03). Moreover, hospital-acquired infection was higher in the methylprednisolone group (OR 2.17, 95% CI 1.01, 4.66; p = 0.04). On the other hand, the 30-day and the in-hospital mortality were not statistically significant different between the two groups.ConclusionDexamethasone showed a lower MODS on day three of ICU admission compared to methylprednisolone, with no statistically significant difference in mortality.

To Study Correlation between MOD Score and Biomarker Values for Early Prediction of MODS in Suspected Cases of Sepsis Cases in Hospital

Background: Utility of biomarkers in early prediction of multiple organ dysfunction syndrome (MODS) in suspected cases of sepsis presenting to the Emergency Department (ED). Aim and Objectives: To correlate the biomarker values (Pro-calcitonin (PCT), C-reactive protein (CRP), NT-pro BNP and Neutrophil gelatinase associated lipocalin (NGAL) with multiple organ dysfunction (MOD) score and to evaluate their role in early prediction of MODS in suspected sepsis patients presenting to ED. Methods: This is a prospective observational study conducted on 65 patients with suspected sepsis. Patients of 18-65 years presented in the ED with triage complaints of fever, respiratory, urinary and abdominal infections, who were sepsis screen positive on arrival and admitted, were enrolled in the study. They were categorized into two groups: Group 1 (MODS score Positive at 48 or 72 hours) and Group 2 (MOD score Negative). Biomarker values in both the groups and its correlation with MOD score was analyzed. Results: At 48 hours, 40 (61.5%) patients were MODS positive with PCT (Sensitivity 100%, OR-12.6, CI-0.6-255.04, p=0.098), CRP (Sensitivity 100%, OR-27.0, CI-1.44-504.0, p=0.027), NTpro BNP (Sensitivity 82.5%, OR-7.07, CI-2.55-22.16, p=0.0008) and NGAL (Sensitivity 77.5%, OR-82.9, CI-9.7-698.16, p=0.0001) with PPV of NGAL (96.88%) and NT-pro BNP (76.74%) and 100% NPV for PCT and CRP. Conclusion: This study established a good correlation of NT-pro BNP and NGAL with positive MODS score suggestive of and highly predictive of developing MODS in suspected cases of sepsis. The normal value of PCT and CRP on arrival in patients with suspected sepsis rules out MODS even at 72 hours during their hospital stay.

Clinico-laboratory outcomes of plasma transfusion in the Egyptian’s pediatric intensive care units—a prospective observational study

BackgroundDespite the paucity of data supporting their indications, plasma transfusions (PT) are regularly administered for critically ill patients (CIP) in pediatric intensive care units (PICU). The aim of this study was to identify the actual indications for PT in the Egyptian’s PICUs and determine to what extent it affects the clinic-laboratory outcomes for CIP.MethodsA prospective observational study was conducted for 6 months on 180 CIP in PICUs of Cairo University Hospital who received plasma for at least one time during their length of stay (LOS). Full history, examination, and investigations were obtained from the medical records.ResultsPlasma was transfused in 64.4% of the studied population to support moderate and severe critical illness identified by multiple organ dysfunction score (MODS). Meanwhile, subjective-based physician conceptions accounted for 12.8% of all indications for plasma transfusion. PT in CIP was associated with a significant reduction in platelet count, prothrombin time, partial thromboplastin time, and international normalized ratio with p-value < 0.001, while there was a significant increase in hemoglobin level with p-value < 0.001. A statistically positive correlation exists between the time interval between admission and 1st PT and LOS with a p-value < 0.001 being shorter with earlier transfusion. Of the 180 patients enrolled in this study, seventy patients (38.9%) died, while 110 patients (61.1%) survived. A statistically significant increase in mechanical ventilation (MV) (p = 0.004), total number of PT (p < 0.001), and MODS score (p < 0.001) were recorded in dead CIP compared with survivors.ConclusionModerate and severe critical illness identified by MODS was the most frequent cause for PT in the Egyptian’s PICUs. Early, precise, and objectively based PT has a strong role in improving the outcomes in CIP.

Accuracy of different scoring systems in cardiogenic shock patients treated with micro-axial percutaneous left ventricular assist device

Abstract Background Cardiogenic shock (CS) is the most severe form of acute heart failure characterized by high mortality. Micro-axial percutaneous left ventricular assist devices (pLVAD) might improve outcome. The utilization of these devices increased lately but is associated with high material and personnel costs and unknown impact on prognosis. Therefore, a precise assessment of prognosis is of immanent interest to determine upfront, who might benefit from the device. For this purpose, different scoring systems were developed. Purpose In the current study, we investigated accuracy of 9 different scoring systems predicting all-cause mortality at 30 days. Methods Data were collected from our ongoing Impella registry including more than 740 patients treated for different indications since 2014. Among them, 434 patients received a micro-axial pLVAD in CS. Acute Physiology and Chronic Health Evaluation (APACHE) II score (APA), Simplified Acute Physiology Score II (SAPS), Multiple Organ Dysfunction Score (MODS), Sequential Organ Failure Assessment (SOFA), Logistic Organ Dysfunction System (LODS) score, Organ Dysfunctions or Infection score (ODIN), ENCOURAGE score, CardShock score, and IABP-SHOCK II risk score were calculated. All-cause mortality was characterized with the use of Kaplan-Meier plots. A receiver operating characteristic (ROC) curve was generated, and the area under the curve (AUC) was estimated to determine the predictive value of the different scores for 30-day-mortality. Subgroup analyses were performed for CS caused by acute myocardial infarction (AMI), CS caused not by AMI, and cardiopulmonary resuscitation (CPR). Results Patients were 68±1 years old with predominance of male gender (73.5% [n=319]). CS was mainly caused by AMI (55.8% [n=242]). A CPR before pLVAD was performed in 49.5% [n=215] with a mean duration of 36±3 minutes. Initial serum lactate was 7.5±0.3 mmol/l. Further baseline characteristics are shown in Table 1. All-cause mortality at 30 days was 65.0±2.3% (Figure 1A). Survivors’ mean stay at hospital was 18±3 days. ROC analyses revealed a positive prediction of 30-day-mortality of all scores (Figure 1B). The SAPS showed the best, ODIN and IABP-SHOCK II risk score the lowest accuracies (ROC AUC [95% CI] SAPS 0.757 [0.704-0.810; p&amp;lt;0.001], ODIN 0.647 [0.585-0.708; p&amp;lt;0.001], IABP SHOCK II 0.649 [0.588-0.709; p&amp;lt;0.001]). In the subgroup analyses, comparable results were reached except for patients receiving a CPR. Among those patients, only SAPS, LODS and ENCOURAGE score significantly predicted 30-day-mortality, but accuracies were low (Figure 1C). Conclusion In CS patients treated with pLVAD, the examined scoring systems significantly predicted 30-day-mortality with relevant differences in accuracy. The best prediction was revealed by SAPS. None of the scores showed an acceptable prediction in patients receiving a CPR indicating a specific patient cohort in need for better prognostic tools.Table 1Figure 1

Aortic Steal Correlates with Acute Organ Dysfunction and Short-Term Outcomes in Neonates with Vein of Galen Malformation

Plain Language SummaryVein of Galen malformation is a rare, congenital intracerebral arteriovenous malformation with high morbidity and mortality in neonatal manifestation despite modern interdisciplinary strategies. Currently, there is no valid, noninvasive parameter for early prediction of clinical progression at the bedside. A typical finding of hemodynamically relevant vein of Galen malformation is flow reversal in the descending aorta (aortic steal). Therefore, we developed a new ultrasound method to quantify the percentage of reflux in the preductal aortic isthmus and integrated the measurement method into routine clinical practice. In this study, we retrospectively investigated the association between percentage of aortic steal, organ dysfunction parameters, mortality, and brain injury on magnetic resonance imaging (MRI) at baseline and follow-up in 12 neonates with vein of Galen malformation admitted between January 2021 and June 2022. Statistical analyses showed that the severity of organ dysfunction, mortality, and brain damage on MRI increased with increasing percentage of aortic steal. These correlations and associations showed a linear relationship between percentage reflux in the aortic isthmus and all outcome parameters. The potential of sonographically determined aortic steal to predict clinical progression and short- and long-term outcomes needs to be investigated in larger, prospective cohorts. If this marker proves as promising as the data from this study suggest, it could become an important diagnostic component for management and decision-making in critically ill neonates with vein of Galen malformation.

PREDICTIVE FACTORS AND CLINICAL AND PARACLINICAL FEATURES OF URINARY TRACT DYSFUNCTION IN PRETERM INFANTS

PREDICTIVE FACTORS AND CLINICAL AND PARACLINICAL FEATURES OF URINARY TRACT DYSFUNCTION IN PRETERM INFANTS

Comparison of Three Different Multiple Organ Dysfunction Scores for Predicting Mortality after Neonatal Cardiac Surgery.

Infants who undergo cardiac surgery frequently have complications that may advance to multiple organ failure and result in mortality. This study aims to compare three different multiple organ dysfunction scoring systems: the Neonatal Multiple Organ Dysfunction (NEOMOD) score, the modified NEOMOD score, and the Pediatric Logistic Organ Dysfunction-2 (PELOD-2) score in predicting postoperative 30-day mortality in neonates undergoing cardiac surgery. This retrospective cohort study was conducted between January 2019 and February 2021 in a single unit on neonates operated on due to congenital heart disease in the first 28 days of life. Patients who underwent off-pump surgeries were excluded from the study. The NEOMOD, modified NEOMOD, and PELOD-2 scores were calculated for each of the first 3 days following surgery. A total of 138 patients were included. All scores had satisfactory goodness-of-fit and at least good discriminative ability on each day. The modified NEOMOD score consistently demonstrated the best prediction among these three scores after the first day, reaching its peak performance on day 2 (area under curve: 0.824, CI: 0.75-0.89). Our findings suggest that NEOMOD and modified NEOMOD scores in the first 72 h could potentially serve as a predictor of mortality in this population.

Characterization of multiple organ failure after ruptured abdominal aortic aneurysm repair

BackgroundMultiple organ failure (MOF) is associated with poor outcomes and increased mortality in sepsis and trauma. There are limited data regarding MOF in patients after ruptured abdominal aortic aneurysm (rAAA) repair. We aimed to identify the contemporary prevalence and characteristics of patients with rAAA with MOF. MethodsWe retrospectively reviewed patients with rAAA who underwent repair (2010-2020) at our multihospital institution. Patients who died within the first 2 days after repair were excluded. MOF was quantified by modified (excluding hepatic system) Denver, Sequential Organ Failure Assessment (SOFA) score, and Multiple Organ Dysfunction Score (MODS) for postoperative days 3 to 5 to determine the prevalence of MOF. MOF was defined as a Denver score of >3, dysfunction in two or more organ systems by SOFA score, or a MODS score of >8. Kaplan-Meier curves and log-rank testing were used to evaluate differences in 30-day mortality between multiple organ failure and patients without MOF. Logistic regression was used to assess predictors of MOF. ResultsOf 370 patients with rAAA, 288 survived past two days (mean age, 73±10.1 years; 76.7% male; 44.1% open repair), and 143 had data for MOF calculation recorded. From postoperative days 3 to 5, 41 (14.24%) had MOF by Denver, 26 (9.03%) by SOFA, and 39 (13.54%) by MODS criteria. Among these scoring systems, pulmonary and neurological systems were impacted most commonly. Among patients with MOF, pulmonary derangement occurred in 65.9% (Denver), 57.7% (SOFA), and 56.4% (MODS). Similarly, neurological derangement occurred in 92.3% (SOFA) and 89.7% (MODS), but renal derangement occurred in 26.8% (Denver), 23.1% (SOFA), and 10.3% (MODS). MOF by all three scoring systems was associated with increased 30-day mortality (Denver: 11.3% vs 41.5% [P < .01]; DOFA: 12.6% vs 46.2% [P < .01]; MODS: 12.5% vs 35.9% [P < .01]), as was MOF by any criteria (10.8% vs 35.7 %; P < .01). Patients with MOF were more likely to have a higher body mass index (55.9±26.6 vs 49.0±15.0; P = .011) and to have had a preoperative stroke (17.9% vs 6.0%; P = .016). Patients with MOF were less likely to have undergone endovascular repair (30.4% vs 62.1%; P < .001). Endovascular repair was protective against MOF (any criteria) on multivariate analysis (odds ratio, 0.23; 95% confidence interval, 0.08-0.64; P = .019) after adjusting for age, gender, and presenting systolic blood pressure. ConclusionsMOF occurred in only 9% to 14% of patients after rAAA repair, but was associated with a three-fold increase in mortality. Endovascular repair was associated with a reduced MOF incidence.

Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy.

The incidence of acute kidney injury (AKI) is increasing every year and many patients with AKI admitted to the intensive care unit (ICU) require continuous renal replacement therapy (CRRT). This study compared and analyzed severity scoring systems to assess their suitability in predicting mortality in critically ill patients receiving CRRT. Data from 612 patients receiving CRRT in four ICUs of the Korea University Medical Center between January 2016 and November 2018 were retrospectively collected. The mean age of all patients was 67.6 ± 14.8 years, and the proportion of males was 59.6%. The endpoints were in-hospital mortality and 7-day mortality from the day of CRRT initiation to the date of death. The Program to Improve Care in Acute Renal Disease (PICARD), Demirjian's, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, Sequential Organ Failure Assessment (SOFA), Multiple Organ Dysfunction Score (MODS), and Liano's scores were used to predict mortality. The in-hospital and 7-day mortality rates in the study population were 72.7% and 45.1%, respectively. The area under the receiver operator characteristic curve (AUROC) revealed the highest discrimination ability for Demirjian's score (0.770), followed by Liano's score (0.728) and APACHE II (0.710). The AUROC curves for the SAPS 3, MODS, and PICARD were 0.671, 0.665, and 0.658, respectively. The AUROC of Demirjian's score was significantly higher than that of the other scores, except for Liano's score. The Hosmer-Lemeshow test on Demirjian's score showed a poor fit in our analysis; however, it was more acceptable than general severity scores. Kidney-specific severity scoring systems showed better performance in predicting mortality in critically ill patients receiving CRRT than general severity scoring systems.

Forecasting ICU Census by Combining Time Series and Survival Models.

Retrospective observational study. We developed the algorithm using data from the Medical-Surgical ICU (MSICU) at University Hospital, London, Canada and validated using data from the Critical Care Trauma Centre (CCTC) at Victoria Hospital, London, Canada. Adult patient admissions (7,434) to the MSICU and (9,075) to the CCTC from 2015 to 2021. None. We developed an Autoregressive integrated moving average time series model that forecasts patients arriving in the ICU and a survival model using MODS, NEMS, and other factors to estimate patient LOS. The models were combined to create an algorithm that forecasts ICU census for planning horizons ranging from 1 to 7 days. We evaluated the algorithm quality using several fit metrics. The root mean squared error ranged from 2.055 to 2.890 beds/d and the mean absolute percentage error from 9.4% to 13.2%. We show that this forecasting algorithm provides a better fit when compared with a moving average or a time series model that directly forecasts ICU census. Additionally, we evaluated the performance of the algorithm using data during the global COVID-19 pandemic and found that the error of the forecasts increased proportionally with the number of COVID-19 patients in the ICU. It is possible to develop accurate tools to forecast ICU census. This type of algorithm may be important to clinicians and managers when planning ICU capacity as well as staffing and surgical demand planning over a short time horizon.

Modified NEOMOD score as a neonatal mortality prediction tool in a medium‐income country: A validation diagnostic test study

AbstractBackground and AimsMultiple organ dysfunction (MOD) is a potentially reversible physiological disorder that involves two or more systems. Modified NEOMOD (Neonatal Multiple Organ Dysfunction score) scale could be a useful instrument to measure MOD and predict mortality. Our aim was to validate modified NEOMOD in patients from a neonatal intensive care unit (NICU) of a middle‐income country.MethodsDiagnostic test study. Preterm newborns admitted NICU were included. Daily values were collected from birthday to Day 14. MOD was defined as at least one point in two or more systems. The lowest score is 0 and the maximum is 16. The outcome variable was mortality. Secondary outcomes were bronchopulmonary dysplasia, retinopathy of prematurity (ROP), late‐onset neonatal sepsis (LONS), intraventricular hemorrhage (IVH) and length of hospital stay. Area under the curve (AUC) and Hosmer–Lemeshow test were calculated to evaluate scale discrimination and calibration. Logistic regression was used to estimate the association between daily modified NEOMOD score and death.ResultsWe included 273 patients who met the inclusion criteria. MOD incidence was 74.4%. The median gestational age in patients with MOD was 30 (interquartile range [IQR]: 27–33) and in patients without MOD it was 32 (IQR: 31–33) (p &lt; 0.001). There were 40 deaths (14.6%), 38 (18.7%) from the MOD group and 2 (2.9%) from non‐MOD group. On accumulated Day 7, AUC was 0.89 (95% confidence interval [CI]: 0.83–0.95). Modified NEOMOD had good calibration (X2 = 2.94, p = 0.982). DBP (12.8% vs. 2.9%, p = 0.001), ROP (3.9% vs. 0%, p = 0.090), IVH (33% vs. 12.9%, p &lt; 0.001), and LONS (36.5% vs. 8.6%, p &lt; 0.001) frequency was higher in the MOD group than non‐MOD group. Length of hospital stay also was higher in MOD group (median 21 days [IQR 7–44] vs. median 5 days [IQR 4–9], p = 0.004).ConclusionModified NEOMOD scale presents good discrimination and calibration for death in preterm children. This scale could help in clinical decision‐making in real‐time.

Effects of different regimens of sedation on mechanically ventilated patients

Background: Up to one-third of intensive care unit (ICU) patients worldwide undergo mechanical ventilation. These patients frequently require analgesics and sedatives-potent medications with clear benefits and significant side effects. Objective: The current study intended to assess the effects of application of different regimens of sedation on mechanically ventilated patients regarding the length of ventilator days, length of hospital stay, multiple organ dysfunctions, ventilator-associated pneumonia (VAP), and mortality. Methods: One hundred adult patients who are intubated for any cause and attached to mechanical ventilation for more than 24 h will be included in this study. Drugs used for sedation were propofol and midazolam. Patients underwent history taking, clinical examination, laboratory investigations, chest X-ray, and electrocardiogram on admission. Results: At the end of this study, it was found that there was a significant increase in the sedation holiday group (Group II) over the no sedation group (Group I) regarding multiple organ dysfunction score, VAP, ventilator days, ICU stay, and hospital stay but there was no significant difference between both groups regarding mortality, spontaneous breathing trials, Glasgow Coma Scale, and complete blood count. Conclusions: Our results demonstrate that the use of sedatives can cause prolongation in the duration of mechanical ventilation, length of stay in the ICU, and total length of hospital stay. In addition, there is an increased risk of morbidity and mortality. It is possible to use a strategy of no sedation for critically ill patients undergoing mechanical ventilation without fears of failure.

The course of adrenomedullin and endothelin levels in patients with vasodilatory shock after cardiac surgery compared to patients after uncomplicated elective cardiac surgery.

The aim of this study was to analyse the course of adrenomedullin (ADM) and endothelin-1 (ET-1) levels in patients with vasodilatory shock after cardiac surgery and to explore differences compared to patients after uncomplicated coronary artery bypass graft (CABG) surgery. ADM and ET-1 are involved in the vasomotor response during vasodilatory shock. We included 32 patients with vasodilatory shock (study group) and 10 patients after uncomplicated CABG surgery (control group). Daily measurements of MR-proADM and CT-proET-1 (stable surrogate markers for ADM and ET-1) were collected during the first 7 postoperative days. MR-proADM and CT-proET-1 levels were significantly elevated in the study group when compared to the control group. In addition, the course of both biomarkers was significantly different in the study versus control group. Higher levels of both biomarkers were associated with organ dysfunction (higher maximum multiple organ dysfunction score, acute kidney injury). Significantly higher levels of MR-proADM and CT-proET-1 and a different course of both biomarkers were observed in patients with vasodilatory shock after cardiac surgery and seemed to be associated with organ dysfunction.

Availability of Multiple Organ Failure Score Components in Surgical Patients

Background: Scoring systems are often used describe the degree of multi-system organ failure (MOF), however, the data used to calculate these scores are often missing. Studies utilizing these scoring systems often underreport the frequency of missing data. No study has examined the availability of clinical data needed to calculate Sequential Organ Failure Assessment (SOFA), and other organ failure scores. The primary objective of this study is to observe how often emergency general surgery and trauma patients have missing data needed to calculate MOF scores. Patients and Methods: Patients admitted between June 2017 and September 2019 were evaluated. Data to calculate SOFA, quick SOFA (qSOFA), Marshall Multiple Organ Dysfunction Score (MODS), Denver Post-Injury Multiple Organ Failure, and systemic inflammatory response syndrome (SIRS) criteria, as well as demographic and general admission and discharge data, were collected. Results: Of the 238 patients included in this study, 66.4% were emergency general surgery and 33.6% were trauma patients. For all patients, the median intensive care unit (ICU) length of stay (LOS) was seven days (range, 4-12), the median hospital LOS was 14 days (range, 10-21), and 28 patients (11.8%) did not survive to hospital discharge. Sequential Organ Failure Assessment was calculable in 21.4%-18.1%, whereas MODS was calculable in 6.3%-5.0% on days three and five, respectively. The Denver score was calculable in 32.5%-28.8% of trauma patients on these days. Of the data points needed to calculate these scores, the partial pressure of oxygen (Pao2)/fraction of inspired oxygen (FIo2) ratio, central venous pressure (CVP), and bilirubin were the least available components. Conclusions: Data needed to fully calculate SOFA and other common MOF scores are often not readily available highlighting the degree of imputation required to calculate these scores. We recommend better reporting of the degree of missing data in the literature.

Prognosticating Fetomaternal ICU Outcomes.

Although no scoring system is as yet fully validated for predicting maternal outcomes in critically ill obstetric patients, prognostication may be done objectively using severity predicting models. General critical care scoring systems which have been studied in obstetric patients are outcome prediction models (Acute Physiology and Chronic Health Evaluation [APACHE] I-IV, Simplified Acute Physiology Score [SAPS] I-III, Mortality Probability Model [MPM] I-IV) and organ dysfunction scores (Multiple Organ Dysfunction Score [MODS], Logistic Organ Dysfunction Score [LODS], Sequential Organ Failure Assessment [SOFA]). General critical care scoring systems may overpredict mortality rates in obstetric patients secondary to an altered physiology of organ systems during pregnancy. Obstetric prediction models were developed keeping in mind the physiological characteristics of obstetric population. They are Modified Early Obstetric Warning System (MEOWS), Obstetric Early Warning Score (OEWS), Maternal Early Warning Trigger (MEWT), and disease-specific obstetric scoring systems. The APACHE II model and MPM II are most often used scoring systems for predicting maternal mortality. The SOFA model is the best predictive model for sepsis in obstetrics. APACHE II and SAPS are more useful for nonobstetric population. Recent studies have also underscored the applicability of the OEWS in intensive care unit (ICU) settings with results comparable to the more elaborate APACHE II and SOFA scores. The Early Warning System helps in identifying acutely deteriorating pregnant and postpartum women in non-ICU settings who may require critical care. Fetal outcomes are largely dependent upon maternal outcomes. Prognostic systems applied to mothers may help in estimation of perinatal mortality and morbidity.How to cite this articleSuri J, Khanam Z. Prognosticating Fetomaternal ICU Outcomes. Indian J Crit Care Med 2021;25(Suppl 3):S206–S222.

Clinical, etiological profile and outcomes of convulsive refractory and non-refractory status epilepticus at a tertiary care centre: A prospective observational study

Introduction: Epidemiological data on childhood status epilepticus (SE) limited in India. This study depicts clinical profiles, etiology, and outcomes of convulsive refractory SE (RSE) and compares the results with cases of nonrefractory SE (NRSE).Subjects and Methods: This observational, cross-sectional study enrolled 300 children aged 1 month to 18 years, presenting with convulsive SE at a tertiary care hospital. Details of children who progressed to RSE were compared to those without RSE.Results: In the acute symptomatic etiology group, common causes for RSE were central nervous system infections (33.8%), cryptogenic etiology (13.8%), and remote symptomatic etiology (7%). RSE iwas associated with a higher rate of complications (58% Vs 24%) as compared to NRSE. Thirty percent of cases that progressed to RSE needed ventilator support as compared to only 8% of cases in the NRSE group. RSE was also associated with higher rates of shock (25%), AKI (16%), transaminitis (25%), acute liver failure (5.69%), multiple organ dysfunction score (12.6%), and acidosis (53%) as compared to NRSE. RSE was associated with higher mortality (28%) and morbidity (32%) as compared to NRSE cases. Cryptogenic etiology led to the highest mortality (33.3%) in cases of RSE while acute symptomology was associated with the highest morbidity (62%). Conclusions: RSE is a serious pediatric emergency that requires prompt recognition and management. Clinical knowledge and early administration of appropriate antiepileptic drugs at health-care facilities is the key to reduce morbidity and mortality.

Characteristics and Outcomes for Low-Risk Hospital Admissions Admitted to the ICU: A Multisite Cohort Study.

Prognostication following ICU admission can often be determined based on known risk factors, including demographics and illness severity; however, little is known about outcomes of patients deemed to be "low-risk" at the time of hospital admission who subsequently are admitted to the ICU. The objectives of this study were to determine the characteristics, outcomes, and costs for patients requiring ICU admission despite having lower predicted mortality when they were admitted to the hospital. In this historical cohort study, we used a prospectively maintained ICU registry that included all ICU admissions to The Ottawa Hospital for patients 18 years or older from January 2011 to December 2016. We classified patients as low-risk using the Hospital-patient 1-year Mortality Risk at admission score, a hospital admission score validated to predict 1-year mortality. The primary outcome was inhospital mortality. Secondary outcomes included adverse events, resource utilization, and costs. Of the 17,173 total ICU patients, 3,445 (20.1%) were classified as low-risk at hospital admission. Low-risk patients were younger (48.7 vs 67.5 yr; p < 0.001) and had a lower Multiple Organ Dysfunction Score (2.37 vs 4.14; p < 0.001). Mortality for low-risk patients was significantly lower than for non-low-risk patients (4.1% vs 25.4%; p < 0.001). For low-risk patients, multivariable logistic regression showed mortality was independently associated with older age (odds ratio, 1.02 per 1 yr; 95% CI, 1.00-1.03 per 1 yr), Multiple Organ Dysfunction Score (odds ratio, 1.42 per 1 point; 95% CI, 1.31-1.54 per 1 point), fluid management adverse events (odds ratio, 2.84; 95% CI, 1.29-6.25), hospital-acquired infections (odds ratio, 1.60; 95% CI, 1.02-2.51), and mechanical ventilation (odds ratio, 1.98; 95% CI, 1.20-3.26). Despite their robust premorbid status, low-risk patients admitted to the ICU had significant inhospital mortality. Fluid management adverse events, hospital-associated infections, multiple organ dysfunction, and mechanical ventilation are important prognostic factors for low-risk patients.

Assessment of 17 clinically available renal biomarkers to predict acute kidney injury in critically ill patients.

ABSTRACTBackground:Systematic estimation of renal biomarkers in the intensive care unit (ICU) patients is lacking. Seventeen biomarkers were assessed to predict acute kidney injury (AKI) after admission to ICU.Materials and methods:A prospective, observational study was conducted in the general ICU of Guangdong Provincial People’s Hospital. Seventeen serum or urine biomarkers were studied for their abilities alone or in combination for predicting AKI and severe AKI.Results:Of 1498 patients, 376 (25.1%) developed AKI. Serum cystatin C (CysC) showed the best performance for predicting both AKI (area under the receiver operator characteristic curve [AUC] = 0.785, mean square error [MSE] = 0.118) and severe AKI (AUC = 0.883, MSE = 0.06). Regarding biomarkers combinations, CysC plus N-acetyl-β-d-glucosaminidase-to-creatinine ratio (NAG/Cr) was the best for predicting AKI (AUC = 0.856, MSE = 0.21). At the same time, CysC plus lactic acid (LAC) performed the best for predicting severe AKI (AUC = 0.907, MSE = 0.058). Regarding combinations of biomarkers and clinical markers, CysC plus Acute Physiology and Chronic Health Evaluation (APACHE) II score showed the best performance for predicting AKI (AUC = 0.868, MSE = 0.407). In contrast, CysC plus Multiple Organ Dysfunction Score (MODS) had the highest predictive ability for severe AKI (AUC = 0.912, MSE = 0.488).Conclusion:Apart from CysC, the combination of most clinically available biomarkers or clinical markers does not significantly improve the forecasting ability, and the cost–benefit ratio is not economical.