Objective To investigate the values of pneumonia severity index ( PSI) , CURB-65,plasma procalcitonin ( PCT) , C-reactive protein ( CRP) measurements for evaluation the severity of healthcare-associated pneumonia ( HCAP) .Methods A retrospective observational study was conducted on 92 hospitalized patients with HCAP admitted between June 2010 and December 2011. They were divided into different groups according to different severity assessment criteria. The variance and correlation of PCT,CRP,WBC and percent of neutrophil ( Neu% ) levels were compared among different groups. ROC curvewas established to analyze PSI, CURB-65, PCT and CRP levels for predicting the motality of HCAP patients.Results In the severe HCAP group, PSI and CURB-65 scoring and serum PCT, CRP, WBC, Neu% levels were significantly higher than those in the non-severe HCAP group( P lt; 0. 05) . In the high-risk HCAP group, PCT, CRP, WBC and Neu% levels were significantly higher than those in the low-risk HCAP group according to the PSI and CURB-65 scoring criteria( P lt;0. 05) .WBC and Neu% levels were also significantly higher than those in the moderate-risk group. PSI and CURB-65 scoring were positively correlated with PCT and CRP levels. PSI scoring gt;120 points or CURB-65 scoring gt;2 points on admission were predictors of mortality. Conclusions PSI and CURB-65 scoring are correlated with severity of HCAP. Combining serum PCT and CRP levels can improve the predictive accuracy of the severity of HCAP.
【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 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.
ObjectiveTo investigate diagnostic and prognostic value of pulmonary embolism severity index (PESI), troponin I (cTnI) and brain natriuretic peptide (BNP) in patients with acute pulmonary embolism (APE). MethodsA total of 96 patients confirmed with APE were collected from January 2010 to January 2013, and 50 cases of non-APE controls were also selected in the same period. According to the PESI scores, patients were divided into low-risk, mid-risk, and highrisk group. According to the results of cTnI and BNP, patients were divided into positive group and negative group. Then, we evaluated the diagnostic and prognostic value of the PESI score, cTnI and BNP for patients with APE. ResultsFor the APE patients, the higher the risk was, the higher the constituent ratio of massive and sub-massive APE was (P<0.01). In the cTnI positive group, massive and sub-massive APE accounted for 82.9%, and in the cTnI negative group, non-massive APE was up to 81.9%; in the BNP positive group, massive and sub-massive APE accounted for 73.3%, and in the BNP negative group, non-massive APE was up to 86.3%. The patients with positive cTnI and BNP had a higher rate of right ventricular dysfunction, cardiogenic shock and mortality than the negative group (P<0.01). ConclusionThe combined detection of cTnI, BNP and PESI score is important in the diagnosis and risk stratification in APE patients.
ObjectiveTo investigate correlation of bedside index for severity in acute pancreatitis (BISAP) and computed tomography severity index (CTSI) or modified CT severity index (MCTSI) in assessing severe acute pancreatitis (SAP). MethodsThirty-eight patients confirmed SAP from July 2015 to October 2015 in West China Hospital of Sichuan University were prospectively included into this study. Contrast-enhanced multi-detector-row CT scan was performed for all the patients. The abnormal imaging features, such as pancreatic and peri-pancreatic inflammatory changes, involvement of other organs, and local complications, were observed and used to calculate by CTSI score and MCTSI score. The clinical data were also collected to calculate BISAP score and as compared with CTSI score and MCTSI score. ResultsThe results of BISAP score were as follows:3 cases gradeⅠ(8.9%), 20 cases gradeⅡ(52.6%), 15 cases gradeⅢ(39.5%). The results of CTSI score were as follows:6 cases gradeⅠ(15.8%), 22 cases gradeⅡ(57.9%), 10 cases gradeⅢ(26.3%). The results of MCTSI score were as follows:2 cases gradeⅠ(5.3%), 19 cases gradeⅡ(50.0%), 17 cases gradeⅢ(44.7%). The results of interobserver agreement were good (BISAP:Kappa=1, P < 0.01; CTSI:Kappa=0.748, 95% CI 0.00-0.076, P < 0.01; MCTSI:Kappa=0.788, 95% CI 0.00-0.076, P < 0.01). There was a positive correlation between CTSI score (rs=0.385, P=0.001) or MCTSI score (rs=0.326, P=0.004) and BISAP score using the Spearman test. ConclusionThere is a weak correlation between CTSI score or MCTSI score and BISAP score.
ObjectivesTo compare the efficacy of acute physiology and chronic health evaluationⅡ (APACHEⅡ), national early warning score (NEWS), pulmonary embolism severity index (PESI) and Charlson comorbidity index (CCI) on pulmonary embolism (PE) prognosis.MethodsClinical data of patients with PE treated in The Second Xiangya Hospital of Central South University from 2010 to 2017 were retrospectively analyzed. They were divided into death group and survival group, and four clinical scores were calculated. The differences of risk factors between the two groups were compared. Logistic regression analysis was used to obtain the independent risk factors related to mortality. The ROC working curve was used to compare the capability of four clinical scores for PE mortality. SPSS 24.0 and Medcalc 18.2.1 software were used for statistical analysis. ResultsA total of 318 patients with PE were included, and the mortality rate was 13.2%. The APACHEⅡ, NEWS, PESI and CCI of the death group were higher than those of the survival group. There were significant differences between two groups (P<0.05). It was confirmed by logistic regression analysis that cerebrovascular disease, heart rate, leukocyte, troponin T, arterial partial pressure of oxygen, right ventricular dysfunction (RVD) were independent risk factors for 90-day mortality. The areas under the ROC curve of APACHEⅡ, CCI, PESI, NEWS were 0.886, 0.728, 0.715 and 0.731, respectively. The area under the ROC curve of APACHEⅡ was the largest, which was better than NEWS, CCI and PESI (P<0.05), and there was no significant difference among NEWS, CCI and PESI.ConclusionsAPACHEⅡ may be the best predictor of mortality in PE patients, which is superior to NEWS, CCI and PESI.
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 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.
ObjectiveTo investigate the relationship between the red blood cell distribution width (RDW) and the severity of acute exacerbation of bronchiectasis in elderly patients.MethodsThe clinical data of 216 elderly patients with acute exacerbation of bronchiectasis admitted from January 2015 to October of 2018 were analyzed retrospectively. The severity of acute exacerbation of bronchiectasis in the elderly was evaluated by bronchiectasis severity index (BSI) score. Meanwhile, 50 elderly people receiving qualified medical examination were collected as a healthy control group in the same period. The distributions of BSI score, RDW, procalcitonin (PCT), neutrophil percentage (NEU%) and C-reactive protein (CRP) were described in the patients with different risk degree. The severity of acute exacerbation of bronchiectasis in the elderly was evaluated by BSI. The patients were divided into three groups by BSI score: a low risk group, a middle risk group, and a high risk group. The indexes were described including the distribution of stratified BSI score, RDW, PCT, NEU%, CRP at different risk levels. The correlation of each index was analyzed by Spearman correlation. The threshold value of RDW was calculated by general linear regression, and the influencing factors of BSI score were analyzed by multivariate linear regression analysis.ResultsThe higher the risk stratification, the higher the BSI score, RDW, PCT, NEU% and CRP were. RDW was positively correlated with PCT, NEU% and CRP (r values were 0.425, 0.311, 0.177, respectively, P<0.05). BSI score was positively correlated with RDW, PCT, NEU%, and CRP (r values were 0.425, 0.394, 0.650, 0.578, respectively, P<0.05). RDW was positively correlated with PSI score (r=0.425, P<0.05). The thresholds of RDW were 11.45% and 14.03%. Multiple linear regression showed that RDW, PCT, NEU% and CRP were all influential factors of BSI score and explained 52.3% of the total mutation rate.ConclusionRDW is related to the severity of acute exacerbation of bronchiectasis in the elderly, and can predict the severity of acute exacerbation of bronchiectasis in the elderly.
ObjectiveTo explore the consistency and clinical application value of Balthazar CT classification and extra-pancreatic inflammation on computed tomography (EPIC) score in the diagnosis of acute pancreatitis (AP). MethodsA total of 100 continuous patients with AP were included in the Hainan Academy of Traditional Chinese Medicine from April 2019 to April 2021, who were divided into mild (n=41), moderate (n=37), and severe (n=22) AP, and all of them underwent the abdominal CT examination. The Balthazar CT classification score, EPIC score, and acute physiology and chronic health evaluation Ⅱ (APACHE-Ⅱ) score were compared and the correlations were analyzed among 3 groups. The consistency of Balthazar CT classification score or EPIC score and clinical classification was analyzed. ResultsThere were statistical differences in the Balthazar CT classification score [(1.58±0.29) points vs. (2.43±0.36) points vs. (3.20±0.51) points, F=13.261, P<0.001], EPIC score [(2.56±0.30) points vs. (4.29±0.77) points vs. (5.68±0.82) points, F=14.672, P<0.001], and APACHE-Ⅱ score [(21.40±6.22) points vs. (29.13±7.31) points vs. (39.37±8.18) points, F=13.906, P<0.001] among mild, moderate, and severe 3 groups. The points of the three indexes increased statistically with the severity of AP (P<0.05). The Balthazar CT classification score was positively correlated with APACHE-Ⅱ score and EPIC score (r=0.537, P<0.001; r=0.609, P<0.001), and EPIC score was positively correlated with APACHE-Ⅱ score (r=0.582, P<0.001). The Kappa values of Balthazar CT classification score or EPIC score and clinical classification for assessing the severity of AP were 0.731 and 0.704, respectively. ConclusionsFrom the preliminary results of this study, Balthazar CT classification score and EPIC score increase obviously with the aggravation of AP and which has a higher consistency, and are positively correlated with APACHE-Ⅱ score. It is suggested that abdominal CT has a good clinical application value in the assessment of severity of AP.