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.
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.
【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 compare the predictive value of the BAP-65 score, the DECAF score, the CURB-65 score, and the Pneumonia Severity Index (PSI) on short-term mortality and adverse outcomes in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) with community-acquired pneumonia (CAP). MethodsThis study enrolled patients hospitalized for AECOPD and CAP from ten hospitals in China from September 2017 to July 2021. All-cause mortality within 30 days was investigated. Patients were divided into the death and the survival groups according to their survival status. The differences in basic conditions, complications, symptoms, signs and auxiliary examination results between the two groups were compared, and the independent risk factors of all-cause mortality were analyzed. The included patients were scored and graded according to the 4 scales, respectively, and the validity of the four scales in predicting short-term mortality and adverse outcomes was compared based on the receiver operating charateristic (ROC) curve analysis. ResultsA total of 3375 patients including 2545 males and 830 females with a mean age of (73.66 ±10.73) years were enrolled in this study. Within 30 days, 129 (3.82%) patients died and 614 (18.19%) patients had an adverse outcome (including all-cause death, invasive mechanical ventilation and admission into intensive care unit). Altered state of consciousness, diabetes mellitus, atrial fibrillation, chronic pulmonary heart disease, age, pulse rate, serum albumin, diastolic blood pressure, and pH value were independent risk factors for 30-day mortality in AECOPD patients with CAP. The area under the ROC curve (AUC) of the CURB-65 score, BAP-65 score, DECAF score, and PSI score for predicting all-cause mortality were 0.780, 0.782, 0.614, and 0.816, and these AUCs for predicting adverse outcomes were 0.694, 0.687, 0.564 and 0.705, respectively. PSI score had the best predictive efficacy for all-cause mortality and adverse outcomes, and the DECAF score had the worst predictive efficacy. ConclusionsAECOPD patients with CAP have a relatively high incidence of all-cause mortality and adverse outcomes within 30 days. Altered state of consciousness, diabetes mellitus, atrial fibrillation, chronic pulmonary heart disease, age, pulse rate, serum albumin, diastolic blood pressure, and pH value are independent risk factors for 30-day mortality. PSI score has the best performance in predicting all-cause mortality and adverse outcomes, while the DECAF score has the worst performance.
Objective To study the factors that affect the prognosis of status epilepticus (SE) and to improve the understanding of clinicians. Methods A retrospective analysis of 57 patients with SE witch from the General Hospital of Ningxia Medical University and Cardio-cerebrovascular Disease Hospital were carried out to collect their clinical data. The data were analyzed by SPSS 17.0 software. The prognosis of the patients was assessed by the Status epilepticus severity score (STESS) scale. Results A total of 57 patients were included, 53 cases improved, 4 cases were automatically discharged. Telephone follow-up showed that 4 cases of automatic discharge were dead. The mortality rate of SE was 7.02%. The most common cause of SE was acute cerebrovascular disease (17.54%), followed by intracranial infection (10.53%); The most common incidence were the occasional medication, self-medication, withdrawal (15.79%). Age, state of consciousness and concurrent infection were associated with prognosis (improvement/death) (P<0.05). STESS score of 0 to 2 points were 45 patients, all improved; score of 3 to 5 points were 12 patients, 8 patients improved, 4 patients died. There were significant differences in the prognosis between the two groups (P<0.05). Conclusions Age, state of consciousness, concurrent infection were related to prognosis, more than 65 years, the state of consciousness for the sleeping or coma had the poor prognosis. STESS scale can predict the prognosis of patients effectively.
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 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.
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.
Objective To investigate the load distribution on the more painful and less painful limbs in patients with mild-to-moderate and severe bilateral knee osteoarthritis (KOA) and explore the compensatory mechanisms in both limbs among bilateral KOA patients with different severity levels. Methods A total of 113 participants were enrolled between July 2022 and September 2023. This cohort comprised 43 patients with mild-to-moderate bilateral KOA (Kellgren-Lawrence grade 2-3), 43 patients with severe bilateral KOA (Kellgren-Lawrence grade 4), and 27 healthy volunteers (healthy control group). The visual analogue scale (VAS) score for pain, the Hospital for Special Surgery (HSS) score, passive knee range of motion (ROM), and hip-knee-ankle angle (HKA) were used to assess walking pain intensity, joint function, and lower limb alignment in KOA patients, respectively. Motion trajectories of reflective markers and ground reaction force data during walking were captured using a gait analysis system. Musculoskeletal modeling was then employed to calculate biomechanical parameters, including the peak knee adduction moment (KAM), KAM impulse, peak joint contact force (JCF), and peak medial/lateral contact forces (MCF/LCF). Statistical analyses were performed to compare differences in clinical and gait parameters between bilateral limbs. Additionally, one-dimensional statistical parametric mapping was utilized to analyze temporal gait data. Results Mild-to-moderate KOA patients showed the significantly higher HSS score (67.7±7.9) than severe KOA patients (51.9±8.9; t=8.747, P<0.001). The more painful limb in all KOA patients exhibited significantly greater HKA and higher VAS scores compared to the less painful limb (P<0.05). While bilateral knee ROM did not differ significantly in mild-to-moderate KOA patients (P>0.05), the severe KOA patients had significantly reduced ROM in the more painful limb versus the less painful limb (P<0.05). Healthy controls showed no significant bilateral difference in any biomechanical parameters (P>0.05). All KOA patients demonstrated longer stance time on the less painful limb (P<0.05). Critically, severe KOA patients exhibited significantly higher peak KAM, KAM impulse, and peak MCF in the more painful limb (P<0.05), while mild-to-moderate KOA patients showed the opposite pattern with lower peak KAM and KAM impulse in the more painful limb (P<0.05) and a similar trend for peak MCF. Conclusion Patients with mild-to-moderate KOA effectively reduce load on the more painful limb through compensatory mechanisms in the less painful limb. Conversely, severe bilateral varus deformities in advanced KOA patients nullify compensatory capacity in the less painful limb, paradoxically increasing load on the more painful limb. This dichotomy necessitates personalized management strategies tailored to disease severity.