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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.

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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.

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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.

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BACKGROUND: The modified early warning score (MEWS) was set up to supply prompt recognition of clinically deteriorating patients before they undergo a severe and life-threatening event. The study aimed to describe the probable usefulness of the MEWS in identifying deteriorating post-Whipple patients in hospital wards. METHODS: We performed a study to analyze the relationship between the vital parameters and postoperative severe adverse events of patients after Whipple surgery in Guangdong Provincial People's Hospital from 2000 to 2017. In the retrospective study, a total of 13,651 sets of vital parameters in 236 Whipple postoperative patients were included. Subsequently, we applied a MEWS scoring system and explored the accuracy of the MEWS in evaluating the patients' final events versus advanced mathematical models. We then put the MEWS into the ward warning system and confirmed the accuracy of the MEWS based on the results of prospective studies again. RESULTS: We assessed the ability of the MEWS to predict postoperative complications with an accuracy rate of 90.86-91.23%, a sensitivity of 83.04-90.88%, and a specificity of 90.85-95.73%. CONCLUSIONS: The MEWS model was applied to identify post-Whipple patients at risk of complication. Once the MEWS ≥2, interventions were needed to minimize the adverse events. Our data suggest that the MEWS is comparable to the advanced mathematical models, but MEWS is more accessible to perform and more generally applicable.

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Objective To explore the value of modified early warning score (MEWS) in clinical status assessment and outcome prediction of heat stroke patients.Methods The clinical data of 46 heat stroke patients were collected.According to the severity,the subjects were divided into mild group and severe group;and alternatively,according to the treatment outcomes,the subjects were also divided into survival group and death group.The MEWS at admission was employed for comparison of the differences in severity and outcome of heat stroke between groups.Receiver operating characteristic curve (ROC curve) was used to evaluate the accuracy of MEWS used at admission in assessing severity and predicting outcome of heat stroke patients.Results The results of MEWS calculated at admission in mild and severe heat stroke patients showed significant difference between them (3.00 ± 1.70 vs.6.85 ± 3.03,P =0.004).The area under the ROC curve (AUC) of MEWS got at admission for the diagnosis of severe heat stroke was 0.864 ± 0.056.The results of MEWS obtained at admission in survived and died heat stroke patients were 5.13 ± 2.96 and 9.25 ± 2.05,respectively (P =0.037).The AUC of MEWS used at admission for predicting the death of heat stroke patients was 0.867 ± 0.061.Conclusions The initial MEWS is useful to accurately assess and predict the outcome of heat stroke patients.Heat stroke patients with higher level of MEWS used at admission than 4.5 could be diagnosed as severe heat stroke,and whereas the value of MEWS got at admission higher than 7.5 could be the indicator of the poor prognosis.

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Sepsis is responsible for the utilisation of a significant proportion of healthcare resources and has high mortality rates. Early diagnosis and prompt interventions are associated with better outcomes but is impeded by a lack of diagnostic tools and the heterogeneous and enigmatic nature of sepsis. The recently updated definitions of sepsis have moved away from the centrality of inflammation and the systemic inflammatory response syndrome (SIRS) criteria which have been shown to be non-specific. Sepsis is now defined as a "life-threatening organ dysfunction caused by a dysregulated host response to infection". The Quick (q) Sequential (Sepsis-related) Organ Failure Assessment (SOFA) score is proposed as a surrogate for organ dysfunction and may act as a risk predictor for patients with known or suspected infection, as well as being a prompt for clinicians to consider the diagnosis of sepsis. Early warning scores (EWS) are track and trigger physiological monitoring systems that have become integrated within many healthcare systems for the detection of acutely deteriorating patients. The recent study by Churpek and colleagues sought to compare qSOFA to more established alerting criteria in a population of patients with presumed infection, and compared the ability to predict death or unplanned intensive care unit (ICU) admission. This perspective paper discusses recent advances in the diagnostic criteria for sepsis and how qSOFA may fit into the pre-existing models of acute care and sepsis quality improvement.

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BACKGROUND: Currently there is no study to prove the accuracy of any early warning system on a group of patients who are waiting for in-patient beds in emergency department (ED). The study objective is to compare the performances of detecting patient deterioration with and without using the Modified Early Warning Score for a group of patients who are waiting for in-patient beds in a public ED. METHODS: An observational study was conducted in a public ED in Hong Kong between January and March 2013. During this period, the Modified Early Warning Score (MEWS) was incorporated into current nursing practice for patient monitoring in selected days. Nurses then made decision according to the MEWS to notify senior nurses or senior doctors of patient deterioration. There was a comparison group with target patients being monitored without using the MEWS. RESULTS: A total of 545 patients were recruited, with 269 patients in the MEWS group. Using the MEWS for patient observation had a 100% sensitivity and a 98.3% specificity in detecting patient deterioration, while there was also a high sensitivity and a high specificity (100% and 97.8%) in the comparison group. The findings also showed that respiratory rate was a significant vital sign to detect patient deterioration. CONCLUSIONS: Using the MEWS for patient monitoring did not significantly enhance the performance in detecting patient deterioration for a group of patients who are waiting for in-patient beds in a public ED. However, the MEWS may be beneficial to less experienced nurses who have less clinical experience to identify patient deterioration.

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PURPOSE: The purpose of the study is to determine the impact of a standardized nurse observation and escalation protocol on observation frequency, the measurement of vital signs, and the incidence of in-hospital mortality and resurgery. METHODS: This is a preintervention and postintervention study by analysis of patient records for a 6-day postoperative period of all adult patients hospitalized in 4 hospital wards after surgery during a preintervention (November 2010 to March 2011; n = 2359) and postintervention (November 2011 to March 2012; n = 1888) period implementing a standardized nurse observation and escalation protocol including the Modified Early Warning Score. RESULTS: The mean patient observation frequency per nursing shift increased from 0.9076 (95% confidence interval [CI], 0.8921-0.9231) preintervention to 0.9940 (95% CI, 0.9708-1.0172; P < .001) postintervention and was lower in case of 6-day postoperative mortality (0.6686 [95% CI, 0.4984-0.8388] vs other patients 0.9475 [95% CI, 0.9340-0.9610]; P = .003) or resurgery (0.8402 [95% CI, 0.7894-0.8909] vs other patients 0.9564 [95% CI, 0.9378-0.9657]; P = .003). The mean number of vital signs measured per observation episode increased from a mean of 1.81 (95% CI, 1.79-1.83) preintervention to 2.45 (95% CI, 2.39-2.51; P < .001) postintervention. The relative risk reduction was 73.7% (95% CI, 22.8-91.0; P = .015) for 6-day postoperative in-hospital mortality and 30.9% (95% CI, 9.5-47.2; P = .007) for 6-day postoperative resurgery.

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