ObjectiveCurrently, simple triage and rapid transport (START) is widely used as a method to evaluate the severity of mass casualty events in a disaster. Modified physiological triage tool (MPTT) and modified physiological triage tool-24 (MPTT-24) are newly introduced triage methodologies that may offer improvements over START. However, the feasibility and accuracy of these two methods cannot be adequately assessed without sufficient data support, whether in earthquakes or other disasters. Our study aimed to analyze the value of the three triage methodologies in mass casualty events due to earthquakes.MethodsA total of 36 604 injured patients from the West China Hospital database were evaluated using START, MPTT and MPTT-24, respectively. The triage methodologies were then evaluated based on death and ICU acceptance, using the area under the receiver-operator curve (AUC). The sensitivity and specificity of the three methodologies were compared under different standards and correlations with the injury severity score (ISS) were analyzed. ResultsFor deaths, the AUCs for the triage methodologies were 0.711, 0.775 and 0.686 for START, MPTT, and MPTT-24, respectively. For ICU acceptance, the AUCs of the triage methodologies after correction for bias were 0.579, 0.618 and 0.603. The correlation coefficients of the triage methodologies and ISS score were 0.041, 0.087, and 0.115.ConclusionsMPTT is superior to START and MPTT-24 in the evaluation of critically ill patients in mass casualty events caused by earthquakes.
【Abstract】ObjectiveTo describe the imaging manifestations of acute necrotizing pancreatitis (ANP) on multidetectorrow spiral CT (MDCT). To investigate the relationship between pancreatic glandular necrosis and retroperitoneal inflammatory spreading and the clinical severity of ANP. MethodsA 16detector row spiral CT was used to perform contrastenhanced abdominal scanning in 90 patients diagnosed as ANP， who were prospectively enrolled into this study. Scoring of the extent of pancreatic glandular necrosis and Balthazar grading based on retroperitoneal inflammatory spreading were done at the same time. For 44 patients who met the criteria of Ranson scoring, both scoring by CT severity index (CTSI) and Ranson criteria. Multiplanar reformation technique was used for image postprocessing. Results①In 40 out of 90 patients, the pancreatic glandular necrosis was less than 30%, in 23 the necrosis was between 30%-50%, and in 27 the necrosis was more than 50%. Peripancreatic fat swelling and thickening of anterior renal fascia were observed in all cases of ANP; Peripancreatic and retroperitoneal phlegmonous fluid collection occurred in 78 patients (86.7%); 12 had fluid collection in lesser sac (13.3%); Thickening and swelling of posterior gastric wall in 71 patients (78.9%); 87 developed intestinal ileus (96.7%) and 35 patients had peritoneal effusion (38.9%); Splenic infarction in 4 patients (4.4%); 82 had pleural effusion (91.1%). ②Twelve patients were classified as Balthazar grade C， 42 as grade D and 36 as grade E. There was a statistically significant positive correlation between the extent of pancreatic glandular necrosis and Balthazar CT grade. ③In 44 ANP patients suitable for Ranson criteria, 12 cases were classified as mild (27.3%), 23 as moderate (52.3%), 9 as severe (20.5%). CTSI grading of these patients was as follows： Mild cases 0, moderate cases 25 (56.8%), severe cases 19 (43.2%). Correlation between the CTSI grades and the clinical severity of ANP was of statistical significance. ConclusionANP can demonstrate a series of imaging manifestations on MDCT. To some extent, the degree of pancreatic glandular necrosis and the extent of retroperitoneal spreading is positively correlated, and CTSI grading based on MDCT imaging features is also positively correlated with the clinical severity of ANP.
ObjectiveTo explore the risk factors which affect the severity of acute pancreatitis by using machine learning algorithms. MethodsA retrospective review was conducted of medical records from 262 patients hospitalized for acute pancreatitis at the Second Affiliated Hospital of Zhengzhou University between October 2022 and February 2024. Patients were classified according to the revised edition Atlanta Classification into mild cases (n=146) and non-mild cases (n=116). LASSO analysis was employed to identify predictors for non-mild acute pancreatitis. Six machine learning algorithms, including extreme gradient boosting, random forest, logistic regression, decision tree, support vector machine, and K-nearest neighbors were integrated to construct predictive models. Model performance was evaluated by comparing the following metrics: area under the curve (AUC), sensitivity, specificity, accuracy, F1 score, calibration curves, and decision curves. ResultsThrough LASSO regression analysis, six feature variables, including heart rate, white blood cell count, neutrophil count, C-reactive protein, albumin, and calcium ion were selected to train and test machine learning models. Results showed that extreme gradient boosting achieved the highest AUC value of 0.93 on the test set, making it the optimal model. The sensitivity, specificity, accuracy, Brier score, and F1 score of the extreme gradient boosting model were 0.97, 0.70, 0.85, 0.108, and 0.84. ConclusionThe prediction model developed using extreme gradient boosting has high clinical utility value, helps to predict the severity of acute pancreatitis at an early stage and is valuable in guiding clinical decision-making.
Objective To investigate the value of fibrinogen to albumin ratio (FAR) combined with pulmonary embolism severity index (PESI) in the assessment of severity and prognosis of patients with acute pulmonary thromboembolism (APTE). Methods A retrospective study of hospitalized patients with confirmed APTE admitted to the Affiliated Hospital of Southwest Medical University from September 2013 to August 2021, divided into low-risk, intermediate-risk, and high-risk groups according to the Guidelines for the Diagnosis, Treatment and Prevention of Pulmonary Thromboembolism, and divided into survival groups and death groups according to the 30-day prognosis. The general data of all patients and relevant blood laboratory tests within 2 hours after admission were collected to calculate PESI and FAR. FAR and PESI levels were compared in APTE patients with different severity of disease and different prognosis. Independent risk factors for 30-day mortality in APTE patients were analyzed using logistic regression. Subject working characteristic curves were drawn to assess the differences in sensitivity, specificity and area under the curve of FAR, PESI and FAR combined with PESI in predicting 30-day death. Results Total of 235 APTE patients were included, divided into 85 in the low-risk group, 110 in the intermediate-risk group, and 40 in the high-risk group; 192 in the survival group and 43 in the death group according to 30-day survival. The differences in age, albumin (ALB), high-sensitivity troponin, D-dimer, fibrinogen (FIB), FAR, and PESI of APTE patients with different disease severity were statistically significant (P<0.05). FAR increased progressively with increasing severity of disease (P<0.05), and correlation analysis showed a positive correlation between FAR and PESI (r=0.614, P<0.05). Elevated FIB, FAR, PESI and decreased ALB were independent risk factors for 30-day death in patients with APTE (P<0.05). FAR, PESI, and FAR combined with PESI all had predictive value for 30-day death in APTE patients, and FAR combined with PESI predicted the largest area under the 30-day death curve. Conclusions FAR correlated with the severity and prognosis of APTE patients. FAR combined with PESI was more valuable in assessing the 30-day prognosis of APTE patients than FAR alone or PESI alone.
Objective To explore the correlation between body mass index (BMI) and disease severity in patients with spinocerebellar ataxia type 3 (SCA3). Methods Patients who visited the Department of Neurology of the First Affiliated Hospital of Fujian Medical University with a confirmed diagnosis of SCA3 between July 2022 and August 2023 were selected as a case group, and healthy individuals between June 2024 and October 2024 were selected as a control group, and the BMI levels of the two groups were compared. Patient demographics and clinical statistics were collected, the severity of ataxia in SCA3 patients was assessed using the Scale for the Assessment and Rating of Ataxi, and the relationship between BMI and disease severity was evaluated. Results A total of 101 patients and 101 healthy individuals were included. The BMI levels of SCA3 patients were significantly lower than those of normal controls (t=?2.370, P=0.019). The results of the multiple linear regression model showed that the BMI, disease duration and smoking history had an effect on the disease severity of SCA3 patients (P<0.05), and disease duration and disease severity had a significant effect on the disease progression in SCA3 patients (P<0.05). Conclusion There may be a correlation between BMI and disease severity in SCA3 patients, and controlling the BMI level may help to control the disease in SCA3 patients.
ObjectiveTo evaluate the predictive value of the high-sensitivity cardiac troponin I (hs-cTnI) in patients with acute pulmonary embolism (APE).
MethodsIn a retrospective cohort study,272 consecutive patients with APE were reviewed and the 30-days death and in-hospital adverse events were evaluated. The patients were classified according to hs-cTnI value into a high hs-cTnI group and a low hs-cTnI group. The simple pulmonary embolism severity index (sPESI) was used for clinical risk determination. The adverse event was defined as intravenous thrombolytic therapy,noninvasive ventilator support to maintain oxygen saturation >90% and suffered with severe complications. The correlations of hs-cTnI with sPESI score,30-days adverse events and mortality were analyzed. The Kaplan-Meier curves and the log-rank test were used to compare time-to-event survival. Stepwise multivariate logistic regression analysis models were used to determine the incremental prognostic value of sPESI score and hs-cTnI.
ResultsThe incidence of 30-day death (6.1%),renal failure (14.6%),bleeding (13.4%) and thrombolytic therapy (7.9%) were higher in the high hs-cTnI group than those in the low hs-cTnI group (P values were 0.009,<0.001,0.018 and 0.003,respectively). The patients with sPESI ≥1 and low hs-cTnI had greater free adverse events survival (P=0.005). hs-cTnI provided incremental predictive value for in-hospital adverse events,beyond the sPESI score (P<0.001).
Conclusionhs-cTnI has excellent negative predictive value of APE prognosis,especially when used combined with sPESI score.
ObjiectiveTo obtain reliable evidence of diagnosis and treatment through evaluating the validity of pneumonia severity index (PSI), CURB-65 and acute physiology and chronic health evaluationⅡ(APACHEⅡ) scores in predicting risk stratification, severity evaluation and prognosis in elderly community-acquired pneumonia (CAP) patients.MethodsClinical and demographic data were collected and retrospectively analyzed in 125 in-hospital patients with CAP admitted in Shanghai Dahua Hospital from January 2012 to April 2015. The severity of pneumonia was calculated with PSI, CURB-65 and APACHEⅡgroups during 1 to 3 days after admission. Mortality and intensive care unit (ICU) admission rates were evaluated among patients in each scores and was categorized into three classes, namely mild, moderate and severe groups during 1 to 3 days after admission. Mortality and ICU admission rates were evaluated among patients in each severity level. Through evaluating the sensitivity, specificity, the predicting values and the area under receiver operating characteristic (ROC) curve (AUC) among PSI, CURB-65 and APACHEⅡ, the validity and consistency of these three scoring systems were assessed.ResultsUsing PSI, CURB-65 and APACHEⅡ scoring systems, the patients were categorized into mild severity (48.8%, 64.0% and 52.8%, respectively), moderate severity (37.6%, 23.2% and 32.0%, respectively) and severe severity (13.6%, 12.8% and 15.2%, respectively). In PSI, CURB-65 and APACHEⅡ systems, the mortality in high risk groups was 41.3%, 62.5% and 47.4%, respectively; The ICU-admission rate in high risk groups was 88.3%, 100.0% and 94.7%, respectively. The sensitivity of PSI, CURB-65 and APACHEⅡ was 50.0%, 71.4% and 64.3% in predicting mortality, and was 46.8%, 50.0% and 59.3% in predicting ICU-admission, respectively. PSI, CURB-65 and APACHEⅡ showed similar specificity (approximately 90%) in predicting mortality and ICU admission. ROC was conducted to evaluate the sensitivity of PSI, APACHEⅡ and CURB-65 in predicting mortality and ICU admission. The AUC had no significant difference among these three scoring systems. The AUC of PSI, CURB-65 and APACHEⅡwas 0.893, 0.871, 0.880, respectively for predicting mortality, and was 0.949, 0.837, 0.949, respectively for predicting ICU admission. There was no significant difference among these three scoring in predicting mortality and ICU admission (all P>0.05).ConclusionsPSI, CURB-65 and APACHEⅡ performed similarly and achieved high predictive values in elderly patients with CAP. The three scoring systems are consistent in predicting mortality risk in elderly CAP patients. The CURB-65 is more sensitive in predicting the risk of death, and more early in identifing patients with high risk of death. The APACHEⅡ is more sensitive in predicting the risk of ICU admission, and has good value in identifying severe patients and choosing the right treatment sites.
ObjectiveTo discuss the risk factors of acute respiratory distress syndrome (ARDS) in patients with severe pneumonia.MethodsData of 80 patients with severe pneumonia admitted in our ICU were analyzed retrospectively, and they were divided into two groups according to development of ARDS, which was defined according to the Berlin new definition. The age, gender, weight, Acute Physiology and Chronic Health EvaluationⅡscore, lactate, PSI score and LIPS score, etc. were collected. Statistical significance results were evaluated by multivariate logistic regression analysis after univariate analysis. Receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of the parameter for ARDS after severe pneumonia.ResultsForty patients with severe pneumonia progressed to ARDS, there were 4 moderate cases and 36 severe cases according to diagnostic criteria. Univariate analysis showed that procalcitonin (t=4.08, P<0.001), PSI score (t=10.67, P<0.001), LIPS score (t=5.14, P<0.001), shock (χ2=11.11, P<0.001), albumin level (t=3.34, P=0.001) were related to ARDS. Multivariate logistic regression analysis showed that LIPS ［odds ratio (OR) 0.226, 95%CI=4.62-5.53, P=0.013］ and PSI (OR=0.854, 95%CI=132.2-145.5, P=0.014) were independent risk factors for ARDS. The predictive value of LIPS and PSI in ARDS occurrence was significant. The area under ROC curve (AUC) of LIPS was 0.901, the cut-off value was 7.2, when LIPS ≥7.2, the sensitivity and specificity were both 85.0%. AUC of PSI was 0.947, the cut-off value was 150.5, when PSI score ≥150.5, the sensitivity and specificity were 87.5% and 90.0% respectively.ConclusionsPSI and LIPS are independent risk factors of ARDS in patients with severe pneumonia, which may be references for guiding clinicians to make an early diagnosis and treatment plan.
Objective To systematic investigate whether phase angle of bioelectrical impedance is associated with the functionality, severity, and prognosis of individuals afflicted with chronic obstructive pulmonary disease (COPD). Methods Relevant literature from the PubMed, Embase, Web of Science, Scopus, CNKI, and WanFang databases was retrieved, and literature screening and data extraction in accordance with standardized methods were conducted. Literature quality was assessed by utilizing Mixed Methods Appraisal Tool. Subsequently, data pertaining to the results was extracted for summarization and induction, and descriptive analyzed through qualitative synthesis. Results A total of 11 studies, encompassing 2189 subjects, were included in this review, and the overall quality of the literature was deemed relatively high. Of these studies, three examined the correlation between phase angle and the severity of COPD, eight studies examined the correlation between phase angle and pulmonary and physical function in COPD, and seven studies reported the association between phase angle and adverse outcomes such as hospitalization time, nutritional risk, acute exacerbation and mortality in COPD. The collective findings suggestted that reduced levels of phase angle are linked to severe illness, diminished function, and unfavorable prognosis among individuals with COPD. Phase angle emerged as an independent predictor of lung function, physical exercise endurance, acute exacerbation and mortality in COPD patients. Conclusion The phase angle level of COPD patients is associated with their disease severity, function, and prognosis, and is an potential available indicator for clinical management of COPD patients.
ObjectiveTo investigate the disease severity and comorbidities in outpatient with asthma from urban area in China.MethodsA face-to-face, questionnaire-based survey was carried out in outpatient department in 30 general hospitals from 30 provinces in China mainland except for Tibet during October 2015 to May 2016, and asthma patients who meet the including criteria were enrolled. Data of demographic characteristics, smoking status, disease severity, and comorbidities were collected.ResultsA total of 3 875 cases were included. According to GINA criteria, the proportion of diseases severity was as following: intermittent status 52.5% (2 033/3 875), mild persistent 24.5% (951/3 875), moderate persistent 16.9% (656/3 875), and severe persistent 6.1% (235/3 875). The overweight rate was 32.9% (1 274/3 875), the rate of obesity was 10.3% (401/3 875), and the smoking rate was 20.1% (777/3 875). Obesity and smoking were related to poor asthma control. 75.9% (2 941/3 875) of the patients had comorbidities: allergic rhinitis 43.4% (1682/3 875), hypertension 16.4% (634/3 875), nasosinusitis 8.7% (338/3 875), chronic obstructive pulmonary disease 7.3% (283/3 875), bronchiectasis 3.0% (118/3 875), and rhinopolypus 2.9% (114/3 875).ConclusionsThe majority of asthma patients from outpatient department are mild asthma patients. The proportion of allergic rhinitis and bronchiectasis in asthma patients is higher than mean level. Asthma patients with comorbidities of obesity and smoking is related to poor asthma control.
