Effectiveness of S100 calcium-binding protein A12 combined with modified early warning score in the clinical diagnosis of adult community-acquired pneumonia.

Background: Recent studies have found that S100 serum calcium-binding protein A12 (S100A12) has important significance in the expression of acute infectious diseases, and has high clinical application value in the differential diagnosis, prognosis and other aspects of acute infectious diseases. The accuracy of modified early warning score (MEWS) in evaluating the disease risk level of critically ill patients is comparable to Acute Physiology and Chronic Health Evaluation (APACHE II). Methods: Based on MEWS, 108 adult community-acquired pneumonia (CAP) patients were divided into the low-risk, intermediate-risk, and high-risk groups. The differences in invasive mechanical ventilation rate and mortality rate among each group were compared, and the differences of S100A12 in different levels of MEWS scores were compared through one-way analysis of variance. According to the prognosis after 30 days, the patients were divided into the death group and the survival group. Univariate and multivariate logistic regression analyses were used to study the influencing and independent factors of 30-day death in CAP patients. The sensitivity and specificity of S100A12, procalcitonin (PCT), and MEWS scores in predicting the 30-day death in CAP patients were evaluated using the receiver operating characteristic (ROC) curve, as well as the area under each indicator curve. Results: The serum S100A12 concentration increased with the increase in the MEWS stratification, and the mechanical ventilation and mortality rates also increased significantly. Univariate and multivariate analyses were used to explore the factors influencing mortality in adult CAP patients after 30 days. The receiver-operating characteristics curve was used to analyze the sensitivity, specificity, and area under the curves of serum S100A12, PCT, and MEWS in predicting mortality in CAP patients after 30 days. Conclusions: The serum S100A12, PCT, and MEWS can effectively predict the mortality risk in adult CAP patients after 30 days. Serum S100A12 combined with MEWS has a high clinical application value in evaluating the severity and prognosis of adult CAP.

Comparison of the new-Poisoning Mortality Score and the Modified Early Warning Score for predicting in-hospital mortality in patients with acute poisoning.

INTRODUCTION: The evaluation of acute poisoning is challenging due to varied toxic substances and clinical presentations. The new-Poisoning Mortality Score was recently developed to assess patients with acute poisoning and showed good performance in predicting in-hospital mortality. The objective of this study is to externally validate the performance of the new-Poisoning Mortality Score and to compare it with the Modified Early Warning Score. METHODS: This retrospective analysis used data from the 2019-2020 Injury Surveillance Cohort, established by the Korea Center for Disease Control and Prevention, to perform external validation of the new-Poisoning Mortality Score. The statistical performances of the new-Poisoning Mortality and Modified Early Warning Scores were assessed and compared in terms of discrimination and calibration. Discrimination analysis involved metrics such as sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. For calibration analysis, the Hosmer-Lemeshow goodness-of-fit test was utilized and calibration curves for each score were generated to elucidate the relationship between observed and predicted mortalities. RESULTS: This study analysed 16,570 patients with acute poisoning. Significant differences were observed between survivors and those who died in-hospital, including age, sex, and vital signs. The new-Poisoning Mortality Score showed better performance over the Modified Early Warning Score in predicting in-hospital mortality, in terms of the area under the receiver operating characteristic curve (0.947 versus 0.800), sensitivity (0.863 versus 0.667), specificity (0.912 versus 0.817), and accuracy (0.911 versus 0.814). When evaluated through calibration curves, the new-Poisoning Mortality Score showed better concordance between predicted and observed mortalities. In subgroup analyses, the score system consistently showed strong performance, excelling particularly in substances with high mortality indices and remaining superior in all substances as a group. CONCLUSIONS: Our study has helped to validate the new-Poisoning Mortality Score as an effective tool for predicting in-hospital mortality in patients with acute poisoning in the emergency department. The score system demonstrated superior performance over the Modified Early Warning Score in various metrics. Our findings suggest that the new-Poisoning Mortality Score can contribute to the enhancement of clinical decision-making and patient management.

Comparison of different scores as predictors of mechanical ventilation and intensive care unit admission in acute theophylline poisoning.

Background: Theophylline is commonly used to control respiratory diseases, especially in developing countries. Theophylline has a narrowed therapeutic index, and its toxicity is associated with morbidity and mortality. Physicians should be aware of the early prediction of the need for intensive care unit admission (ICU) and mechanical ventilation (MV). Aim: This study aimed to assess the power of the Rapid Emergency Medicine Score (REMS), Modified Early Warning Score (MEWS) and Simple Clinical Score (SCS) in predicting the need for ICU admission and/or MV in acute theophylline-poisoned patients. Patients and methods: This cross-sectional study included 58 patients with acute theophylline poisoning who were admitted to our Poison Control Center from the 1st of July 2022 to the 31st of January 2023. The REMS, MEWS and SCS were calculated for all patients on arrival at the hospital. The area under the curve (AUC) and receiver operating characteristics were tested to compare scores. Results: The median values of all studied scores were significantly high among patients who needed MV and/or ICU admission. The AUC of SCS was >0.9, with a sensitivity of 92.9% and specificity of 90.9% for the prediction of ICU admission. Meanwhile, MEWS was an excellent predictor of the need for MV (AUC = 0.996, 95% CI = 0.983-1.000). Conclusions: We recommend using SCS as an early predictor for ICU admission in acute theophylline-poisoned patients. However, MEWS could effectively predict MV requirements in acute theophylline-poisoned patients.

The predictive value of the modified early warning score for admission to the intensive care unit in patients with a hematologic malignancy - A multicenter observational study.

OBJECTIVES: The modified early warning score (MEWS) is used to detect clinical deterioration of hospitalized patients. We aimed to investigate the predictive value of MEWS and derived quick Sequential Organ Failure Assessment (qSOFA) scores for intensive care unit admission in patients with a hematologic malignancy admitted to the ward. DESIGN: Retrospective, observational study in two Dutch university hospitals. SETTING: Data from adult patients with a hematologic malignancy, admitted to the ward over a 2-year period, were extracted from electronic patient files. MAIN OUTCOME MEASURES: Intensive care admission. RESULTS: We included 395 patients with 736 hospital admissions; 2% (n = 15) of admissions resulted in admission to the intensive care unit. A higher MEWS (OR 1.5; 95 %CI 1.3-1.80) and qSOFA (OR 4.4; 95 %CI 2.1-9.3) were associated with admission. Using restricted cubic splines, a rise in the probability of admission for a MEWS ≥ 6 was observed. The AUC of MEWS for predicting admission was 0.830, the AUC of qSOFA was 0.752. MEWS was indicative for intensive care unit admission two days before admission. CONCLUSIONS: MEWS was a sensitive predictor of ICU admission in patients with a hematologic malignancy, superior to qSOFA. Future studies should confirm cut-off values and identify potential additional characteristics, to further enhance identification of critically ill hemato-oncology patients. IMPLICATIONS FOR CLINICAL PRACTICE: The Modified Early Warning Score (MEWS) can be used as a tool for healthcare providers to monitor clinical deterioration and predict the need for intensive care unit admission in patients with a hematologic malignancy. Yet, consistent application and potential reevaluation of current thresholds is crucial. This will enable bedside nurses to more effectively identify patients needing adjunctive care, facilitating timely interventions and improved outcome.

Assessment value of the modified early warning score for long-term prognosis of older patients with chronic heart failure.

AIM: The aim of the study was to explore the assessment value of the modified early warning score (MEWS) for the long-term prognosis of older patients with chronic heart failure (CHF). METHODS: A total of 180 CHF patients, treated from January 2016 to January 2018, were divided into a grade I group (n = 28), a grade II group (n = 37), a grade III group (n = 68) and a grade IV group (n = 47) according to the New York Heart Association (NYHA) functional classification. The MEWS was compared on admission and discharge. Based on the clinical outcomes during follow up, the patients were divided into a non-survival group (n = 48) and a survival group (n = 132). Their general clinical data and the MEWS were compared. The predictive values of the MEWS, troponin I (cTnI) and B-type natriuretic (BNP) peptide for long-term prognosis were assessed using receiver operator characteristic (ROC) curves. RESULTS: The MEWS on patient discharge was significantly lower than that on admission, and it increased with increasing NYHA grade (p < 0.05). The MEWS in the non-survival group was significantly higher than that in the survival group. Different clinical outcomes were positively correlated with NYHA grade, MEWS, six-minute walking distance and left ventricular ejection fraction (r = 0.368, r = 0.471, r = 0.387, r = 0.423, p < 0.05), and negatively correlated with cTnI and BNP (r = -0.411, r = -0.425). The area under the ROC curve of the MEWS was 0.852, indicating higher accuracy. The optimal cut-off value, sensitivity and specificity of the MEWS for determining prognosis were 5.6, 0.854 and 0.797 points, respectively. CONCLUSION: The MEWS rose with increasing NYHA grade and reflected the severity of CHF in older patients, which has higher predictive value for long-term prognosis.

The Diagnostic Value of Inflammatory Markers (CRP, IL6, CRP/IL6, CRP/L, LCR) for Assessing the Severity of COVID-19 Symptoms Based on the MEWS and Predicting the Risk of Mortality.

Introduction: Various diagnostic tools are used to assess the severity of COVID-19 symptoms and the risk of mortality, including laboratory tests and scoring indices such as the Modified Early Warning Score (MEWS). The diagnostic value of inflammatory markers for assessing patients with different severity of COVID-19 symptoms according to the MEWS was evaluated in this study. Materials and Methods: The concentrations of CRP (C-reactive protein) (immunoassay) and IL6 (interleukin 6) (electrochemiluminescence assay) were determined, and CRP/IL6, CRP/L, and LCR ratios were calculated in blood serum samples collected from 374 COVID-19 patients. Results: We demonstrated that CRP, IL6, CRP/IL6, CRP/L, LCR inflammatory markers increase significantly with disease progression assessed based on the MEWS in COVID-19 patients and may be used to differentiating patients with severe and non-severe COVID-19 and to assess the mortality. Conclusion: The diagnostic value of inflammatory markers for assessing the risk of mortality and differentiating between patients with mild and severe COVID-19 was confirmed.

Modified Early Warning Score (MEWS) as a predictor of intensive care unit admission in cancer patient on chemotherapy with positive blood culture: A retrospective cohort study.

BACKGROUND: Although the usefulness of the Modified Early Warning Score (MEWS) in predicting clinical deterioration or the need for intensive care unit (ICU) admission has been evaluated in several studies, only few reports have considered the immune status of the patient. Patients receiving chemotherapy for cancer are at risk of sepsis. This study aimed to assess the validity of MEWS in predicting clinical deterioration, ICU admission, and mortality among immunocompromised cancer patients on chemotherapy (CPOC). METHODS: This retrospective cohort study was conducted at a tertiary care center in Jeddah, Saudi Arabia. Subjects aged>14 years with positive blood cultures, who were hospitalized between June 2016 and June 2017, were included. MEWS was calculated at different time intervals: before, after, and at the time (0-time) of positive blood culture. RESULTS: Overall, 192 patients were enrolled, including 89 CPOC and 103 immunocompetent individuals (controls). ICU admission rate was significantly lower in the CPOC group than in the control group (21 % vs. 50 %, P < .001). Positive MEWS rate (score ≥4) at 0-time was lower in the CPOC group, but the difference was not significant (39.7 % vs. 60.3 %, P = .129). In the CPOC group, positive MEWS rate (score ≥4) had a sensitivity, specificity, positive predictive value, and negative predictive value of 52.6 %, 70 %, 32.3 %, and 84 %, respectively, which was comparable to that observed in the control group. Furthermore, the receiver operating characteristic curve in the CPOC group showed that MEWS calculated 12-36 h before positive blood culture was a significant predictor of ICU admission. The optimal threshold of MEWS with the best sensitivity and specificity was ≥ 3 for the CPOC group and ≥ 4 for the control group to predict ICU admission. MEWS was a generally poor predictor of mortality. CONCLUSION: MEWS ≥ 3 calculated 12-36 h before positive blood culture is the best predictor of ICU admission for CPOC.

A novel scoring system combining Modified Early Warning Score with biomarkers of monocyte distribution width, white blood cell counts, and neutrophil-to-lymphocyte ratio to improve early sepsis prediction in older adults.

OBJECTIVES: This study aims to investigate whether combining scoring systems with monocyte distribution width (MDW) improves early sepsis detection in older adults in the emergency department (ED). METHODS: In this prospective observational study, we enrolled older adults aged ≥60 years who presented with confirmed infectious diseases to the ED. Three scoring systems-namely quick sepsis-related organ failure assessment (qSOFA), Modified Early Warning Score (MEWS), and National Early Warning Score (NEWS), and biomarkers including MDW, neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein (CRP), were assessed in the ED. Logistic regression models were used to construct sepsis prediction models. RESULTS: After propensity score matching, we included 522 and 2088 patients with and without sepsis in our analysis from January 1, 2020, to September 30, 2021. NEWS ≥5 and MEWS ≥3 exhibited a moderate-to-high sensitivity and a low specificity for sepsis, whereas qSOFA score ≥2 demonstrated a low sensitivity and a high specificity. When combined with biomarkers, the NEWS-based, the MEWS-based, and the qSOFA-based models exhibited improved diagnostic accuracy for sepsis detection without CRP inclusion (c-statistics=0.842, 0.842, and 0.826, respectively). Of the three models, MEWS ≥3 with white blood cell (WBC) count ≥11 × 109/L, NLR ≥8, and MDW ≥20 demonstrated the highest diagnostic accuracy in all age subgroups (c-statistics=0.886, 0.825, and 0.822 in patients aged 60-74, 75-89, and 90-109 years, respectively). CONCLUSIONS: Our novel scoring system combining MEWS with WBC, NLR, and MDW effectively detected sepsis in older adults.

The application value of the Modified Early Warning Score combined with age and injury site scores in the evaluation of injuries in emergency trauma patients.

Objective: To explore the application value of the Modified Early Warning Score (MEWS) combined with age and injury site scores in predicting the criticality of emergency trauma patients. Methods: The traditional MEWS was modified by combining it with age and injury site scores to form a new MEWS combined scoring standard. The clinical data were collected from a total of 372 trauma patients from the emergency department of the Nantong First People's Hospital between June and December 2019. A retrospective analysis was conducted, and the patients were scored using the MEWS combined with age and injury site scores. The patients were grouped according to their prognoses and clinical outcomes. A statistical analysis was conducted based on the ranges of the combined scores, and the results of the combined scores of the different groups were compared. Results: Among the 372 patients, the average score was 3.68 ± 1.25 points in the survival group, 8.33 ± 2.24 points in the death within 24 h group, and 8.38 ± 1.51 points in the death within 30 days of hospitalization group, and the differences were statistically significant (p < 0.05). The average score was 2.74 ± 0.69 points in the outpatient treatment group, 4.19 ± 0.72 points in the emergency stay group, 5.40 ± 0.70 points in the specialist inpatient group, 8.71 ± 2.31 points in the ICU group, and 7.82 ± 1.66 points in the specialist unplanned transfer to ICU group, with the differences between the groups being statistically significant (p < 0.05). The average length of hospital stay for patients with a joint score within the range of 6-8 points was 10.86 ± 2.47 days, with a direct ICU admission rate of 22.00% and an unplanned ICU admission rate of 16.00%. Patients with a joint score >8 points had an average length of hospital stay of 27.05 ± 4.85 days, with a direct ICU admission rate of 66.67% and an unplanned ICU admission rate of 33.33%. Conclusion: Age and injury site are important high-risk indicators for trauma assessment, and using them in combination with the MEWS could improve the assessment of emergency patients with trauma, increasing the accuracy of pre-screening triage and reducing rescue time. Therefore, this joint scoring method might be worthy of clinical promotion and application.

A Retrospective Cohort Study Evaluating the Use of the Modified Early Warning Score to Improve Outcome Prediction in Neurosurgical Patients.

Introduction The modified early warning score (mEWS) has been used to identify decompensating patients in critical care settings, potentially leading to better outcomes and safer, more cost-effective patient care. We examined whether the admission or maximum mEWS of neurosurgical patients was associated with outcomes and total patient costs across neurosurgical procedures. Methods This retrospective cohort study included all patients hospitalized at a quaternary care hospital for neurosurgery procedures during 2019. mEWS were automatically generated during a patient's hospitalization from data available in the electronic medical record. Primary and secondary outcome measures were the first mEWS at admission, maximum mEWS during hospitalization, length of stay (LOS), discharge disposition, mortality, cost of hospitalization, and patient biomarkers (i.e., white blood cell count, erythrocyte sedimentation rate, C-reactive protein, and procalcitonin). Results In 1,408 patients evaluated, a mean first mEWS of 0.5 ± 0.9 (median: 0) and maximum mEWS of 2.6 ± 1.4 (median: 2) were observed. The maximum mEWS was achieved on average one day (median = 0 days) after admission and correlated with other biomarkers (p < 0.0001). Scores correlated with continuous outcomes (i.e., LOS and cost) distinctly based on disease types. Multivariate analysis showed that the maximum mEWS was associated with longer stay (OR = 1.8; 95% CI = 1.6-1.96, p = 0.0001), worse disposition (OR = 0.82, 95% CI = 0.71-0.95, p = 0.0001), higher mortality (OR = 1.7; 95% CI = 1.3-2.1, p = 0.0001), and greater cost (OR = 1.2, 95% CI = 1.1-1.3, p = 0.001). Machine learning algorithms suggested that logistic regression, naïve Bayes, and neural networks were most predictive of outcomes. Conclusion mEWS was associated with outcomes in neurosurgical patients and may be clinically useful. The composite score could be integrated with other clinical factors and was associated with LOS, discharge disposition, mortality, and patient cost. mEWS also could be used early during a patient's admission to stratify risk. Increase in mEWS scores correlated with the outcome to a different degree in distinct patient/disease types. These results show the potential of the mEWS to predict outcomes in neurosurgical patients and suggest that it could be incorporated into clinical decision-making and/or monitoring of neurosurgical patients during admission. However, further studies and refinement of mEWS are needed to better integrate it into patient care.

Prognostic value of National Early Warning Score and Modified Early Warning Score on intensive care unit readmission and mortality: A prospective observational study.

Background: Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS) are widely used in predicting the mortality and intensive care unit (ICU) admission of critically ill patients. This study was conducted to evaluate and compare the prognostic value of NEWS and MEWS for predicting ICU readmission, mortality, and related outcomes in critically ill patients at the time of ICU discharge. Methods: This multicenter, prospective, observational study was conducted over a year, from April 2019 to March 2020, in the general ICUs of two university-affiliated hospitals in Northwest Iran. MEWS and NEWS were compared based on the patients' outcomes (including mortality, ICU readmission, time to readmission, discharge type, mechanical ventilation (MV), MV duration, and multiple organ failure after readmission) using the univariable and multivariable binary logistic regression. The receiver operating characteristic (ROC) curve was used to determine the outcome predictability of MEWS and NEWS. Results: A total of 410 ICU patients were enrolled in this study. According to multivariable logistic regression analysis, both MEWS and NEWS were predictors of ICU readmission, time to readmission, MV status after readmission, MV duration, and multiple organ failure after readmission. The area under the ROC curve (AUC) for predicting mortality was 0.91 (95% CI = 0.88-0.94, P < 0.0001) for the NEWS and 0.88 (95% CI = 0.84-0.91, P < 0.0001) for the MEWS. There was no significant difference between the AUC of the NEWS and the MEWS for predicting mortality (P = 0.082). However, for ICU readmission (0.84 vs. 0.71), time to readmission (0.82 vs. 0.67), MV after readmission (0.83 vs. 0.72), MV duration (0.81 vs. 0.67), and multiple organ failure (0.833 vs. 0.710), the AUCs of MEWS were significantly greater (P < 0.001). Conclusion: National Early Warning Score and MEWS values of >4 demonstrated high sensitivity and specificity in identifying the risk of mortality for the patients' discharge from ICU. However, we found that the MEWS showed superiority over the NEWS score in predicting other outcomes. Eventually, MEWS could be considered an efficient prediction score for morbidity and mortality of critically ill patients.

Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection.

BACKGROUND: The quick sequential organ failure assessment (qSOFA) score is suggested to use for screening patients with a high risk of clinical deterioration in the general wards, which could simply be regarded as a general early warning score. However, comparison of unselected admissions to highlight the benefits of introducing qSOFA in hospitals already using Modified Early Warning Score (MEWS) remains unclear. We sought to compare qSOFA with MEWS for predicting clinical deterioration in general ward patients regardless of suspected infection. METHODS: The predictive performance of qSOFA and MEWS for in-hospital cardiac arrest (IHCA) or unexpected intensive care unit (ICU) transfer was compared with the areas under the receiver operating characteristic curve (AUC) analysis using the databases of vital signs collected from consecutive hospitalized adult patients over 12 months in five participating hospitals in Korea. RESULTS: Of 173,057 hospitalized patients included for analysis, 668 (0.39%) experienced the composite outcome. The discrimination for the composite outcome for MEWS (AUC, 0.777; 95% confidence interval [CI], 0.770-0.781) was higher than that for qSOFA (AUC, 0.684; 95% CI, 0.676-0.686; P < 0.001). In addition, MEWS was better for prediction of IHCA (AUC, 0.792; 95% CI, 0.781-0.795 vs. AUC, 0.640; 95% CI, 0.625-0.645; P < 0.001) and unexpected ICU transfer (AUC, 0.767; 95% CI, 0.760-0.773 vs. AUC, 0.716; 95% CI, 0.707-0.718; P < 0.001) than qSOFA. Using the MEWS at a cutoff of ≥ 5 would correctly reclassify 3.7% of patients from qSOFA score ≥ 2. Most patients met MEWS ≥ 5 criteria 13 hours before the composite outcome compared with 11 hours for qSOFA score ≥ 2. CONCLUSION: MEWS is more accurate that qSOFA score for predicting IHCA or unexpected ICU transfer in patients outside the ICU. Our study suggests that qSOFA should not replace MEWS for identifying patients in the general wards at risk of poor outcome.

Comparison between various scoring systems in predicting the need for intensive care unit admission of acute pesticide-poisoned patients.

The decision of intensive care unit (ICU) admission in acute pesticide poisoning is often challenging, especially in developing countries with limited resources. This study was conducted to compare the efficacy of the Acute Physiology and Chronic Health Evaluation II (APACHE II), Modified Early Warning Score (MEWS), and Poisoning Severity Score (PSS) in predicting ICU admission and mortality of acute pesticide-poisoned patients. This prospective cohort study included all patients admitted to Tanta University Poison Control Center with acute pesticide poisoning from the start of March 2018 to the end of March 2019. Patient data, including demographic and toxicological data, clinical examination, laboratory investigation, and score values, were collected on admission. Out of 337 acute pesticide-poisoned patients, 30.5% were admitted to the ICU, including those poisoned with aluminum phosphide (ALP) (81.5%) and organophosphates (OP) (18.5%). Most non-survivors (86.6%) were ALP poisoning. The PSS had the best discriminatory power in predicting ICU admission and mortality, followed by APACHE II and MEWS. However, no significant difference in predicting ICU admission of OP-poisoned patients was detected between the scores. Additionally, no significant difference in mortality prediction of ALP-poisoned patients was found between the PSS and APACHE II. The PSS, APACHE II, and MEWS are good discriminators for outcome prediction of acute pesticide poisoning on admission. Although the PSS showed the best performance, MEWS was simpler, more feasible, and practicable in predicting ICU admission of OP-poisoned patients. Moreover, the APACHE II has better sensitivity for mortality prediction of ALP-poisoned patients.

Exercise in Futility or do CART or MEWS Prevent Errors?

How to cite this article: Rao RMG. Exercise in Futility or do CART or MEWS Prevent Errors? Indian J Crit Care Med 2022;26(7):765-766.

Value of modified early warning score combined with D-dimer test for establishment of an acute pancreatitis severity evaluation model / 中国基层医药

Objective:To investigate the value of modified early warning score (MEWS) combined with D-dimer test in the establishment of an acute pancreatitis severity evaluation model.Methods:The clinical data of 357 patients with acute pancreatitis who received treatment in the Second Affiliated Hospital of Anhui Medical University, China between January 2017 and December 2018 were collected for this study. The receiver operating characteristic curve was used to determine the optimal cut-off value of MEWS combined with D-dimer test for predicting non-mild acute pancreatitis. The relationship between MEWS and D-dimer level was analyzed using regression analysis. The area under the curve (AUC) was used to evaluate the ability of each factor to predict the severity of acute pancreatitis. The sensitivity and specificity of the new model to predict non-mild acute pancreatitis were calculated.Results:According to the receiver operating characteristic curve, the AUC of D-dimer, MEWS, and new model were 0.702, 0.628 and 0.734 respectively ( P < 0.05). The AUC of the new model in predicting non-mild acute pancreatitis was significantly higher than that of MEWS and D-dimer test (0.734 > 0.702 > 0.628, Z = 3.20, P < 0.01). Conclusion:The ability of the new model established based on MEWS and D-dimer to predict the severity of acute pancreatitis is stronger than that of each of MEWS and D-dimer. The new model is simple, convenient and more suitable for clinical use.

Application of modified early warning score in ICU nursing human resource allocation / 中国实用护理杂志

Objective:To explore the application effect of the modified early warning score (MEWS) in the allocation of nursing human resources per shift in ICU.Methods:A total of 470 critically ill patients admitted to the ICU of Xuancheng People′s Hospital from January to December 2019 were selected as the experimental group. In each shift, the nursing leader conducted MEWS score for patients in the ward, and assigned nurses at the corresponding level according to the MEWS score. A total of 346 critically ill patients admitted to ICU from January 2018 to December 2018 were selected as the control group. The head nurse assigned nurses daily according to clinical experience.The incidence of accidental events, nurse error events and medical satisfaction were compared between the two groups.Results:The incidences of accident and nurse error in ICU patients in the experimental group were 5.96% (28/470) and 12.13% (57/470), respectively, which were lower than those in the control group [11.56% (40/346) and 17.92% (62/346)]. The difference between the two groups was statistically significant ( χ2=8.19, 5.37, both P<0.05). The satisfaction degree of the experimental group was 98.63 ± 1.06 and 95.96 ± 1.84, respectively, which were higher than that of the control group 92.13 ± 2.17 and 90.43 ± 2.91, and the difference between the two groups was statistically significant ( t=7.62, 8.56, both P<0.05). Conclusions:Using MEWS score to guide the allocation of nursing human resources in each shift of ICU is helpful to reduce the incidence of accidental events in ICU patients and the incidence of nurses′ errors, ensure patient safety and improve medical satisfaction.

The Predictive Role of Modified Early Warning Score in 174 Hematological Patients at the Point of Transfer to the Intensive Care Unit.

INTRODUCTION: The examination of vital signs and their changes during illness can alert physicians to possible impending deterioration and organ dysfunction. The Modified Early Warning Score (MEWS) is used worldwide as a track and trigger system that can help to identify patients at risk of critical illness. Thus, the current study aimed to assess the ability of MEWS to predict the mortality of hematologic patients at the point of transfer from the ward to the intensive care unit (ICU). MATERIALS AND METHODS: The present study was retrospective, longitudinal, and observational, conducted at an oncology hospital in the city of Cluj-Napoca, Romania. We included 174 patients with hematological disorders transferred from the ward to the ICU between the 1st of January 2018 and the 1st of May 2020. We assessed the MEWS at the moment of admission in these patients in the ICU. The accuracy of MEWS in predicting mortality was assessed via the area under the receiver operating characteristic curves (AUC), and sensitivity, specificity, and hazard ratio (HR) were calculated for different MEWS cutoffs. MEWS values considering the status at discharge and frequency of death by MEWS were also analyzed. RESULTS: We calculated MEWS values considering the status at discharge (p < 0.0001), and we assessed the frequency of death by MEWS. We also calculated the hazard ratio (HR) of death depending on the selected MEWS cutoff. The best cutoff point was found to be ≥6, with an accuracy of 0.667, sensitivity of 0.675, specificity of 0.646, and AUC of 0.731. Patients with higher MEWS had a higher probability of mortality. CONCLUSION: The MEWS and cutoff points were determined on a sample of hematologic patients at the moment of admission to the ICU. The final aim is to encourage physicians to use these scores to improve awareness of organ failure to admit patients to the ICU sooner and limit overall morbidity and mortality. The presence of an ICU physician on ward rounds might help in reducing the timeframe of access to a high-dependency unit (HDU) or ICU. An extension of these scores outside hematologic patients or considering hematologic patients outside ICU must be further studied.

Comparação dos escores não endoscópicos para a previsão de resultados em doentes com sangramento gastrointestinal alto na emergência de um hospital de referência em cuidados terciários: um estudo de coorte prospectivo / Comparison of non-endoscopic scores for the prediction of outcomes in patients of upper gastrointestinal bleed in an emergency of a tertiary care referral hospital: a prospective cohort study

ABSTRACT BACKGROUND: Traditionally peptic ulcer disease was the most common cause of upper gastrointestinal (UGI) bleed but with the changing epidemiology; other etiologies of UGI bleed are emerging. Many scores have been described for predicting outcomes and the need for intervention in UGI bleed but prospective comparison among them is scarce. OBJECTIVE: This study was planned to determine the etiological pattern of UGI bleed and to compare Glasgow Blatchford score, Pre-Endoscopy Rockall score, AIMS65, and Modified Early Warning Score (MEWS) as predictors of outcome. METHODS: In this prospective cohort study 268 patients of UGI bleed were enrolled and followed up for 8 weeks. Glasgow Blatchford score, Endoscopy Rockall score, AIMS65, and MEWS were calculated for each patient, and the area under the receiver operating characteristic (AUC-ROC) curve for each score was compared. RESULTS: The most common etiology for UGI bleed were gastroesophageal varices 150 (63.55%) followed by peptic ulcer disease 29 (12.28%) and mucosal erosive disease 27 (11.44%). Total 38 (15.26%) patients had re-bleed and 71 (28.5%) patients died. Overall, 126 (47%) patients required blood component transfusion, 25 (9.3%) patients required mechanical ventilation and 2 (0.74%) patients required surgical intervention. Glasgow Blatchford score was the best in predicting the need for transfusion (cut off - 10, AUC-ROC= 0.678). Whereas AIMS65 with a score of ≥2 was best in predicting re-bleed (AUC-ROC=0.626) and mortality (AUC-ROC=0.725). CONCLUSION: Gastrointestinal bleed was most commonly of variceal origin at our tertiary referral center in Northern India. AIMS65 was the best & simplest score with a score of ≥2 for predicting re-bleed and mortality.

RESUMO CONTEXTO: Tradicionalmente, a doença úlcera péptica era a causa mais comum de sangramento digestivo alto, mas com a mudança da epidemiologia, outras etiologias do sangramento do trato digestivo alto estão emergindo. Muitas pontuações têm sido descritas para prever resultados e a necessidade de intervenção na hemorragia gastrointestinal superior, mas a comparação prospectiva entre elas é escassa. OBJETIVO: Este estudo foi planeado para determinar o padrão etiológico de pacientes com hemorragia digestiva alta e comparar os escores de Glasgow Blatchford, o Rockall pré-endoscopia, o AIMS65 e o Early Warning modificado (MEWS) como preditores do resultado. MÉTODOS: Neste estudo prospetivo de coorte, 268 pacientes com sangramento digestivo alto foram acompanhados durante 8 semanas. Os escores Glasgow Blatchford, Rockall pré-endoscopia, AIMS65 e MEWS foram calculados para cada paciente, e a área sob a curva (AUC-ROC) para cada pontuação foi comparada. RESULTADOS: A etiologia mais comum para a hemorragia gastrointestinal alta foi varizes gastroesofágicas 150 (63,55%), seguida de úlcera péptica 29 (12,28%) e de doença erosiva de mucosa 27 (11,44%). No total, 38 (15,26%) doentes voltaram a sangrar e 71 (28,5%) doentes morreram. No total, 126 (47%) doentes necessitaram de transfusão de componentes sanguíneos, 25 (9,3%) necessitaram de ventilação mecânica e 2 (0,74%) destes doentes necessitaram de intervenção cirúrgica. O escore de Glasgow Blatchford foi o melhor na previsão da necessidade de transfusão (corte - 10, AUC-ROC =0,678). Enquanto o AIMS65 com uma pontuação de ≥2 foi o melhor na previsão de ressangramento (AUC-ROC =0,626) e mortalidade (AUC-ROC =0,725). CONCLUSÃO: O sangramento gastrointestinal alto mais comum é de origem varicosa em centro de referência terciária. O AIMS65 é o melhor escore simples, com uma pontuação de ≥2 para prever o ressangramento e a mortalidade.

Performance Analysis of the National Early Warning Score and Modified Early Warning Score in the Adaptive COVID-19 Treatment Trial Cohort.

We sought to validate prognostic scores in coronavirus disease 2019 including National Early Warning Score, Modified Early Warning Score, and age-based modifications, and define their performance characteristics. DESIGN: We analyzed prospectively collected data from the Adaptive COVID-19 Treatment Trial. National Early Warning Score was collected daily during the trial, Modified Early Warning Score was calculated, and age applied to both scores. We assessed prognostic value for the end points of recovery, mechanical ventilation, and death for score at enrollment, average, and slope of score over the first 48 hours. SETTING: A multisite international inpatient trial. PATIENTS: A total of 1,062 adult nonpregnant inpatients with severe coronavirus disease 2019 pneumonia. INTERVENTIONS: Adaptive COVID-19 Treatment Trial 1 randomized participants to receive remdesivir or placebo. The prognostic value of predictive scores was evaluated in both groups separately to assess for differential performance in the setting of remdesivir treatment. MEASUREMENTS AND MAIN RESULTS: For mortality, baseline National Early Warning Score and Modified Early Warning Score were weakly to moderately prognostic (c-index, 0.60-0.68), and improved with addition of age (c-index, 0.66-0.74). For recovery, baseline National Early Warning Score and Modified Early Warning Score demonstrated somewhat better prognostic ability (c-index, 0.65-0.69); however, National Early Warning Score+age and Modified Early Warning Score+age further improved performance (c-index, 0.68-0.71). For deterioration, baseline National Early Warning Score and Modified Early Warning Score were weakly to moderately prognostic (c-index, 0.59-0.69) and improved with addition of age (c-index, 0.63-0.70). All prognostic performance improvements due to addition of age were significant (p < 0.05). CONCLUSIONS: In the Adaptive COVID-19 Treatment Trial 1 cohort, National Early Warning Score and Modified Early Warning Score demonstrated moderate prognostic performance in patients with severe coronavirus disease 2019, with improvement in predictive ability for National Early Warning Score+age and Modified Early Warning Score+age. Area under receiver operating curve for National Early Warning Score and Modified Early Warning Score improved in patients receiving remdesivir versus placebo early in the pandemic for recovery and mortality. Although these scores are simple and readily obtainable in myriad settings, in our data set, they were insufficiently predictive to completely replace clinical judgment in coronavirus disease 2019 and may serve best as an adjunct to triage, disposition, and resourcing decisions.