【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.
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.
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 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.
ObjectiveTo investigate correlation of bedside index for severity in acute pancreatitis(BISAP) and computed tomography severity index(CTSI), modified computed tomography severity index(MCTSI), or extra-pancreatic inflammation on CT(EPIC) score, respectively, in assessing severity of acute pancreatitis. MethodsForty-five patients confirmed SAP from July 2015 to November 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 three CT severity indexes(CTSI, MCTSI, and EPIC). The clinical data were also colle-cted to calculate BISAP and as compared with CT severity indexes. Correlation between the CT indexes points and BISAP score was estimated using the Spearman test. Interobserver agreement for CTSI, MCTSI or EPIC was calculated using the Kappa statistic. ResultsThe results of BISAP score were as follows: 4 cases gradeⅠ, 22 cases gradeⅡ, 19 cases gradeⅢ. The results of CTSI score were as follows: 6 cases gradeⅠ, 22 cases gradeⅡ, 17 cases gradeⅢ. The results of MCTSI score were as follows: 1 case gradeⅠ, 13 cases gradeⅡ, 31 cases gradeⅢ. The results of EPIC score were as follows: 6 cases gradeⅠ, 11 cases gradeⅡ, 28 cases gradeⅢ. The score of BISAP, CTSI, MCIST, or EPIC was 2.41±0.82, 6.02±1.96, 7.91± 2.11, and 5.57±1.52, respectively. Interobserver agreements for CTSI, MCTSI, and EPIC were good(CTSI: Kappa=0.748, 95% CI 0.000-0.076, P < 0.01; MCTSI: Kappa=0.788, 95% CI 0.000-0.076, P < 0.01; EPIC: Kappa=0.768, 95% CI 0.000-0.076, P < 0.01). Spearman statistic showed there was a positive correlation between CTSI score(rs=0.439, P=0.003), MCTSI score(rs=0.640, P=0.000), or EPIC(rs=0.503, P=0.001) and BISAP score. ConclusionThere is a positive correlation between MCTSI or EPIC and BISAP score, and MCTSI is more strongly correlated with BISAP as compared with EPIC.
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.
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 compare the value of the acute physiology and chronic health evaluationⅡ (APACHEⅡ) scores, the pneumonia severity index (PSI) scores), the CURB-65 scores, and serum procalcitonin (PCT) concentration in prediction of prognosis for inpatients with community-acquired pneumonia (CAP) and discuss the influence factors.MethodsRetrospective analysis was conducted based on the APACHEⅡ scores, the CURB-65 scores, the PSI scores and PCT concentration of hospitalized CAP patients admitted in the Department of Respiratory Medicine of First Hospital of Shanxi Medical University between January 2015 and December 2016, and within 24 hours of their admission. The end point of this study was the clinical outcome of hospitalization (recovery, improvement, exacerbation or death). Receiver operating characteristic (ROC) curve analysis and binary logistic regression models were used to assess the ability of prognostic evaluation and determine the boundary value, to screen risk factors that influence deterioration and death in CAP patients.ResultsTwo hundred and thirty-five CAP patients were enrolled with 146 males and 89 females at an average age of (60.4±18.1) years old. All patients were divided into 2 groups: improving recovery group had 205 cases, and deteriorating group had 30 cases. The rank of areas under the ROC curve for predicting the deterioration and death risk of CAP, from big to small were APACHEⅡ(0.889), PSI (0.850), CURB-65 (0.789), and PCT (0.720). APACHEⅡ score over 11 points and PSI score over 91 points were optimal cut-off values for the prognostic assessment. Moreover, the logistic regression analysis revealed that APACHEⅡ score and PCT were independent risk factors of deterioration and death in CAP patients.ConclusionsThe better predictability of clinic outcome of CAP is APACHEⅡ score, PSI score, CURB-65 score, and PCT respectively in order, while the APACHEⅡ score and PCT concentration were independent risk factors for exacerbation and mortality in CAP patients. The predictive ability of a single PCT measurement is limited. The combination of APACHEⅡ score and PCT may increase specificity, but reduce sensitivity.
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 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.