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.

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.

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.

Prognostic significance of emergency department modified early warning score trend in critical ill elderly patients.

OBJECTIVE: To explore the relationship between trends in emergency department modified early warning score (EDMEWS) and the prognosis of elderly patients admitted to the intensive care unit (ICU). METHODS: Consecutive non-traumatic elderly ED patients (≥65 years old) admitted to the ICU between July 2018 and June 2019 were enrolled in this retrospective cohort study. The selected patients had at least 2 separate MEWS during their ED stay. Detailed patient information was retrieved initially from the ICU database of our hospital and then crosschecked with electronic medical recording system to confirm the completeness and correctness of the data. Patients who had do-not-resuscitate order and those with incomplete data of EDMEWS, acute physiology and chronic health evaluation (APACHE) II score, or survival information (7-day and 30-day mortality) were excluded. The trends in EDMEWS were determined using the regression line of multiple MEWS measured during ED stay, in which EDMEWS trend progression was defined as the slope of the regression line > zero. The relationship between EDMEWS trend and prognosis was assessed using univariate and multivariate analyses (multiple logistic regression analysis). RESULTS: Of the 1423 selected patients, 499 (35.1%) had worsening 24-h APACHE II score, 110 (7.7%) died within 7 days, and 233 (16.4%) died within 30 days. Factors that were significantly associated with worsening 24-h APACHE II score, 7-day mortality, and 30-day mortality in univariate analysis were selected for inclusion into multiple logistic regression analyses. After adjusting for other covariates, EDMEWS trend progression was significantly associated with 24-h APACHE II score progression, 7-day mortality, and 30-day mortality. CONCLUSIONS: EDMEWS trend progression was significantly associated with 24-h APACHE II score progression, 7-day mortality, and 30-day mortality in elderly ED patients admitted to the ICU. EDMEWS is a simple and useful tool for precisely monitoring patients' ongoing condition and predicting prognosis.

Evaluating the Use of a Modified Early Warning Score in Predicting Serious Adverse Events in Iranian Hospitalized Patients: A Prognostic Study.

INTRODUCTION: Assessment of early clinical warning signs and appropriate response can prevent serious adverse events in hospitalized patients. The Modified Early Warning Score (MEWS) is an applicable early warning sign system that can be used to predict serious adverse events. This study aimed to evaluate the predictive capacity of the MEWS to identify patients in an Iranian hospital who are at risk of developing serious adverse events. METHODS: In this prognostic study, 381 adult patients from the emergency department who were admitted to an inpatient hospital unit of an Iranian hospital from May 2018 to October 2018 were included. The MEWS tool was completed for each patient at the time of admission and then daily for a period of up to 30 continuous days after admission or until the development of a serious adverse event. Receiver operating characteristic, specificity, sensitivity, positive predictive values, and negative predictive values were calculated. RESULTS: In this study, a MEWS of ≥3 on admission was associated with an increased likelihood of developing serious adverse events within 30 days of admission with the area under the curve of 0.82 (95% confidence interval [CI]: 0.77-0.85), sensitivity of 82.81% (95% CI: 71.3-91.1), specificity of 75.39% (95% CI: 70.3-80), positive predictive value of 40.5% (95% CI: 35.2-45.9), and negative predictive value of 95.6% (95% CI: 92.7-97.4). DISCUSSION: A MEWS ≥3 on admission can predict the occurrence of serious averse events in patients admitted to an Iranian hospital for 30 continuous days.

Development of the National Early Warning Score-Calcium Model for Predicting Adverse Outcomes in Patients With Acute Pancreatitis.

INTRODUCTION: This study aimed to develop a new model on the basis of the National Early Warning Score to predict intensive care unit admission and the mortality of patients with acute pancreatitis. METHODS: Patients diagnosed with acute pancreatitis in the emergency department were enrolled. The values of the National Early Warning Score, Modified Early Warning Score, and Bedside Index of Severity in Acute Pancreatitis in predicting intensive care unit admission and mortality of patients with acute pancreatitis were evaluated. RESULTS: A total of 379 patients with acute pancreatitis were enrolled; 77 patients (20.3%) were admitted to the intensive care unit and 14 (3.7%) died. The National Early Warning Score and calcium level were identified as independent risk factors of intensive care unit admission. Serum calcium exhibited a moderate correlation with National Early Warning Score (r = -0.46; P < 0.001), Modified Early Warning Score (r = -0.37; P < 0.001), and Bedside Index of Severity in Acute Pancreatitis (r = -0.39; P < 0.001). A new model called National Early Warning Score-calcium was developed by combining National Early Warning Score and calcium blood test result, which had larger areas under the curve for predicting intensive care unit admission and mortality than the other 3 scoring systems. DISCUSSION: A new model developed by combining National Early Warning Score and calcium exhibited better value in predicting the prognosis of acute pancreatitis than the models involving National Early Warning Score, Modified Early Warning Score, and Bedside Index of Severity in Acute Pancreatitis alone.

[Value of predicting prognosis of patients with heat stroke by three scoring methods].

Objective: To explore the predictive value of different scoring methods for the prognosis of patients with hyperthermia. Methods: In September 2019, the clinical data of 49 patients with heat radiation disease in the second people's Hospital of Hefei were collected retrospectively. According to the prognosis of patients, they were divided into survival group (32 cases) and death group (17 cases) . The rapid emergency medicine score (REMS) , modified early warning score (modified early warning score) were calculated respectively Score (mews) , logistic organ dysfunction system (LODs) and the differences between the two groups were compared. ROC curve was used to evaluate the accuracy of various scores in the prognosis of patients with heat radiation disease. Results: the fatality of heat stroke was 34.69%, there were significant differences of REMS, MEWS and LODS between the two groups (P<0.05) , the area under ROC curve (AUC) of REMS, MEWS and LODS to predicting prognosis of heat stroke was (0.696±0.076, 95%CI: 0.548 to 0.844, P<0.05, 0.692±0.079, 95%CI: 0.536 to 0.848, P<0.05, 0.787±0.063, 95%CI: 0.663 to 0.911, P<0.05) respectively. Conclusion: There are valuable for predicting prognosis of patients with heat stroke by REMS, MEWS and LODS, especially the LODS, the REMS and MEWS are simple and easy.

The value of the Modified Early Warning Score for unplanned Intensive Care Unit admissions of patients treated in hospital general wards.

AIM: To determine the value of the Modified Early Warning Score (MEWS) for general ward patients and its potential use as an alarm tool for ward nurses. METHODS: A combined prospective-retrospective observational study was conducted with 153 patients in a university hospital (2013-2014). All patients were admitted to the intensive care unit (ICU) from general wards. Parameters retrospectively studied were 5 MEWS values at 4 hourly intervals, up to 20 hours before ICU admission. Parameters prospectively studied were ICU length of stay, ICU mortality, and mortality after ICU discharge. RESULTS: Most frequent severe adverse events were acute respiratory failure (39.9%) and septic shock (20.3%). Modified Early Warning Score increased gradually during the last 20 hours, and most patients remained in the wards, above a cut-off point ≥7 recorded at 4 hours before admission. Significant associations between latest MEWS score and ICU mortality and ICU length of stay were found. MEWS score≥ 7 hours before admission was highly associated with increased ICU and hospital mortality. CONCLUSION: Patient deterioration in general wards can result in severe adverse events. Modified Early Warning Score is a strong predictor of outcome and may be used as a monitoring tool for potentially avoidable deaths and unplanned admissions to ICU.

The prognastic efficiencies of modified early warning score and mainz emergency evaluation score for emergency department patients.

BACKGROUND: Recently, there is an increasing interest for scoring systems to evaluate the critically ill patients by means of the severeness of their disease and their availibility for discharge in the emergency departments and intensive care units. Our aim in this study is to evaluate the efficiency of the mEWS and MEES scoring systems in assessing the severeness of the disease and predicting the mid term prognosis of the patients hospitalized following their emergency care in our emergency room. MATERIAL AND METHOD: Patients, who attended to Inonu University Department of Emergency Medicine and hospitalized following their emergency care were included to our study. The effects of age, sex, triage categories, mEWS and MEES scores on the site of hospitalization and mortality was evaluated. Statistical analyses were performed by SPSS for Windows version 16.0. The data was summarized as means, standart deviation and percents. Univariate and multiavriate analyses were performed for risk factor calculations. RESULTS: The mean age of the patients was 58±19 and 584 (56%) were male. Triage group 1 patients accounted for 21 of all (2%), while 646 (61%) were in group 2 and 384 (37%) were in triage group 3. Of all patients, 341 (32%) were hospitalized to ICU. While discharged patients accounted for 89% (935 patients) of the study group, 116 patients (11%) died at the hospital. The GCS, AVPU and mEWS values were statistically significant by means of patient mortality (P < 0.0001), but the delta MEES value was not (P < 0.127). CONCLUSION: The results of our stuy suggests that mEWS evaluation is an effective and reliable tool for predicting outcome and hospitalization areas of ED patients. Our results also displayed that the easily available GCS and AVPU scales are reliable guides in patient management. MEES values, on the other hand, are not convenient for ED use.

Validation of a modified early warning score-linked Situation-Background-Assessment-Recommendation communication tool: A mixed methods study.

AIMS AND OBJECTIVES: To develop and validate a modified Situation-Background-Assessment-Recommendation communication tool incorporating components of the Cape Town modified early warning score vital signs chart for reporting early signs of clinical deterioration. BACKGROUND: Reporting early signs of physiological and clinical deterioration could prevent "failure to rescue" or unexpected intensive care admission, cardiac arrest or death. A structured communication tool incorporating physiological and clinical parameters allows nurses to provide pertinent information about a deteriorating patient in a logical order. DESIGN: Mixed methods instrument development and validation. METHODS: We used a sequential three-phase method: cognitive interviews, content validation and inter-rater reliability testing to validate a self-designed communication tool. Participants were purposively selected expert nurses and doctors in government sector hospitals in Cape Town. RESULTS: Cognitive interviews with five experts prompted most changes to the communication tool: 15/42 (35.71%) items were modified. Content validation of a revised tool was high by a predetermined ≥70% of 18 experts: 4/49 (8.2%) items were modified. Inter-rater reliability testing by two nurses indicated substantial to full agreement (Cohen's kappa .61-1) on 37/45 (82%) items. The one item achieving slight agreement (Cohen's kappa .20) indicated a difference in clinical judgement. The high overall percentage agreement (82%) suggests that the modified items are sound. Overall, 45 items remained on the validated tool. CONCLUSION: The first modified early warning score-linked Situation-Background-Assessment-Recommendation communication tool developed in South Africa was found to be valid and reliable in a local context. RELEVANCE TO CLINICAL PRACTICE: Nurses in South Africa can use the validated tool to provide doctors with pertinent information about a deteriorating patient in a logical order to prevent a serious adverse event. Our findings provide a reference for other African countries to develop and validate communication tools for reporting early signs of clinical deterioration.

The effect of the quality of vital sign recording on clinical decision making in a regional acute care trauma ward.

PURPOSE: Recording vital signs is important in the hospital setting and the quality of this documentation influences clinical decision making. The Modified Early Warning Score (MEWS) uses vital signs to categorise the severity of a patient's physiological derangement and illustrates the clinical impact of vital signs in detecting patient deterioration and making management decisions. This descriptive study measured the quality of vital sign recordings in an acute care trauma setting, and used the MEWS to determine the impact the documentation quality had on the detection of physiological derangements and thus, clinical decision making. METHODS: Vital signs recorded by the nursing staff of all trauma patients in the acute care trauma wards at a regional hospital in South Africa were collected from January 2013 to February 2013. Investigator-measured values taken within 2 hours of the routine observations and baseline patient information were also recorded. A MEWS for each patient was calculated from the routine and investigator-measured observations. Basic descriptive statistics were performed using EXCEL. RESULTS: The details of 181 newly admitted patients were collected. Completion of recordings was 81% for heart rate, 88% for respiratory rate, 98% for blood pressure, 92% for temperature and 41% for GCS. The recorded heart rate was positively correlated with the investigator's measurement (Pearson's correlation coefficient of 0.76); while the respiratory rate did not correlate (Pearson's correlation coefficient of 0.02). In 59% of patients the recorded respiratory rate (RR) was exactly 20 breaths per minute and 27% had a recorded RR of exactly 15. Seven percent of patients had aberrant Glasgow Coma Scale readings above the maximum value of 15. The average MEWS was 2 for both the recorded (MEWS(R)) and investigator (MEWS(I)) vitals, with the range of MEWS(R) 0-7 and MEWS(I) 0-9. Analysis showed 59% of the MEWS(R) underestimated the physiological derangement (scores were lower than the MEWS(I)); 80% of patients had a MEWS(R) requiring 4 hourly checks which was only completed in 2%; 86% of patients had a MEWS(R) of less than three (i.e. not necessitating escalation of care), but 33% of these showed a MEWS(I) greater than three (i.e. actually necessitating escalation of care). CONCLUSION: Documentation of vital signs aids management decisions, indicating the physiological derangement of a patient and dictating treatment. This study showed that there was a poor quality of vital sign recording in this acute care trauma setting, which led to underestimation of patients' physiological derangement and an inability to detect deteriorating patients. The MEWS could be a powerful tool to empower nurses to become involved in the diagnosis and detection of deteriorating patients, as well as providing a framework to communicate the severity of derangement between health workers. However, it requires a number of strategies to improve the quality of vital sign recording, including continuing education, increasing the numbers of competent staff and administrative changes in vital sign charts.

Periarrest Modified Early Warning Score (MEWS) predicts the outcome of in-hospital cardiac arrest.

BACKGROUND/PURPOSE: The Modified Early Warning Score (MEWS) reflects the physiological changes of cardiac arrest and has been used in identifying patient deterioration. Physiological reserve capacity is an important outcome predictor, but is seldom reported due to recording limitations in cardiac arrest patients. The aim of the study was to evaluate whether periarrest MEWS could be a further prognostic factor in in-hospital cardiac arrest. METHODS: This was a retrospective cohort study of nontrauma adult patients who had experienced in-hospital cardiac arrest during emergency department stays at an urban, 2600-bed tertiary medical center in Taiwan from February 2011 to July 2013. Data regarding patients' characteristics, Charlson Comorbidity Score, MEWS score before events, mode of arrest, and outcome details were extracted following the Utstein guidelines for uniform reporting of cardiac arrest. RESULTS: During the 30-month period, 234 patients suffered in-hospital cardiac arrest during emergency department stays, and 99 patients with periarrest MEWS were included in the final analysis. The MEWS at triage did not differ significantly between survival-to-discharge and mortality groups (3.42 ± 2.2 vs. 4.02 ± 2.65, p = 0.811). Periarrest MEWS was lower in the survival-to-discharge group (4.41 ± 2.28 vs. 5.82 ± 2.84, p = 0.053). In multivariate logistic regression analysis, periarrest MEWS was an independent predictors for survival to discharge. A rise in periarrest MEWS reduced the chance of survival to discharge by 0.77-fold (95% confidence interval: 0.60-0.97, p = 0.028). CONCLUSION: The simplest MEWS system not only can be used as a prevention measure, but the periarrest MEWS could also be considered as an independent predictor of mortality after in-hospital cardiac arrest.

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.

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.

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.

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.

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.

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.