Objective:Our aim was to prospectively compare the Accuracy of Acute Physiology and Chronic Health Evaluation(APACHE)II,Bedside Index of Severity in Acute Pancreatitis(BISAP),Ranson’s score and modified Computed Tomo...Objective:Our aim was to prospectively compare the Accuracy of Acute Physiology and Chronic Health Evaluation(APACHE)II,Bedside Index of Severity in Acute Pancreatitis(BISAP),Ranson’s score and modified Computed Tomography Severity Index(CTSI)in predicting the severity of acute pancreatitis based on Atlanta 2012 definitions in a tertiary care hospital in northern India.Methods:Fifty patients with acute pancreatitis admitted to our hospital during the period of March 2015 to September 2016 were included in the study.APACHE II,BISAP and Ranson’s score were calculated for all the cases.Modified CTSI was also determined based on a pancreatic protocol contrast enhanced computerized tomography(CT).Optimal cut-offs for these scoring systems and the area under the curve(AUC)were evaluated based on the receiver operating characteristics(ROC)curve and these scoring systems were compared prospectively.Results:Of the 50 cases,14 were graded as severe acute pancreatitis.Pancreatic necrosis was present in 15 patients,while 14 developed persistent organ failure and 14 needed intensive care unit(ICU)admission.The AUC for modified CTSI was consistently the highest for predicting severe acute pancreatitis(0.919),pancreatic necrosis(0.993),organ failure(0.893)and ICU admission(0.993).APACHE II was the second most accurate in predicting severe acute pancreatitis(AUC 0.834)and organ failure(0.831).APACHE II had a high sensitivity for predicting pancreatic necrosis(93.33%),organ failure(92.86%)and ICU admission(92.31%),and also had a high negative predictive value for predicting pancreatic necrosis(96.15%),organ failure(96.15%)and ICU admission(95.83%).Conclusion:APACHE II is a useful prognostic scoring system for predicting the severity of acute pancreatitis and can be a crucial aid in determining the group of patients that have a high chance of need for tertiary care during the course of their illness and therefore need early resuscitation and prompt referral,especially in resource-limited developing countries.展开更多
Objective:Our aim was to prospectively evaluate the accuracy of the bedside index for severity in acute pancreatitis(BISAP)score in predicting mortality,as well as intermediate markers of severity,in a tertiary care c...Objective:Our aim was to prospectively evaluate the accuracy of the bedside index for severity in acute pancreatitis(BISAP)score in predicting mortality,as well as intermediate markers of severity,in a tertiary care centre in east central India,which caters mostly for an economically underprivileged population.Methods:A total of 119 consecutive cases with acute pancreatitis were admitted to our institution between November 2012 and October 2014.BISAP scores were calculated for all cases,within 24 hours of presentation.Ranson’s score and computed tomography severity index(CTSI)were also established.The respective abilities of the three scoring systems to predict mortality was evaluated using trend and discrimination analysis.The optimal cut-off score for mortality from the receiver operating characteristics(ROC)curve was used to evaluate the development of persistent organ failure and pancreatic necrosis(PNec).Results:Of the 119 cases,42(35.2%)developed organ failure and were classified as severe acute pancreatitis(SAP),47(39.5%)developed PNec,and 12(10.1%)died.The area under the curve(AUC)results for BISAP score in predicting SAP,PNec,and mortality were 0.962,0.934 and 0.846,respectively.Ranson’s score showed a slightly lower accuracy for predicting SAP(AUC 0.956)and mortality(AUC 0.841).CTSI was the most accurate in predicting PNec,with an AUC of 0.958.The sensitivity and specificity of BISAP score,with a cut-off of≥3 in predicting mortality,were 100%and 69.2%,respectively.Conclusions:The BISAP score represents a simple way of identifying,within 24 hours of presentation,patients at greater risk of dying and the development of intermediate markers of severity.This risk stratification method can be utilized to improve clinical care and facilitate enrolment in clinical trials.展开更多
BACKGROUND Acute pancreatitis(AP)is a common surgical condition,with severe AP(SAP)potentially lethal.Many prognostic indices,including;acute physiology and chronic health evaluation II score(APACHE II),bedside index ...BACKGROUND Acute pancreatitis(AP)is a common surgical condition,with severe AP(SAP)potentially lethal.Many prognostic indices,including;acute physiology and chronic health evaluation II score(APACHE II),bedside index of severity in acute pancreatitis(BISAP),Glasgow score,harmless acute pancreatitis score(HAPS),Ranson’s score,and sequential organ failure assessment(SOFA)evaluate AP severity and predict mortality.AIM To evaluate these indices'utility in predicting severity,intensive care unit(ICU)admission,and mortality.METHODS A retrospective analysis of 653 patients with AP from July 2009 to September 2016 was performed.The demographic,clinical profile,and patient outcomes were collected.SAP was defined as per the revised Atlanta classification.Values for APACHE II score,BISAP,HAPS,and SOFA within 24 h of admission were retrospectively obtained based on laboratory results and patient evaluation recorded on a secure hospital-based online electronic platform.Data with<10%missing data was imputed via mean substitution.Other patient information such as demographics,disease etiology,and patient outcomes were also derived from electronic medical records.RESULTS The mean age was 58.7±17.5 years,with 58.7%males.Gallstones(n=404,61.9%),alcohol(n=38,5.8%),and hypertriglyceridemia(n=19,2.9%)were more common aetiologies.81(12.4%)patients developed SAP,20(3.1%)required ICU admission,and 12(1.8%)deaths were attributed to SAP.Ranson’s score and APACHE-II demonstrated the highest sensitivity in predicting SAP(92.6%,80.2%respectively),ICU admission(100%),and mortality(100%).While SOFA and BISAP demonstrated lowest sensitivity in predicting SAP(13.6%,24.7%respectively),ICU admission(40.0%,25.0%respectively)and mortality(50.0%,25.5%respectively).However,SOFA demonstrated the highest specificity in predicting SAP(99.7%),ICU admission(99.2%),and mortality(98.9%).SOFA demonstrated the highest positive predictive value,positive likelihood ratio,diagnostic odds ratio,and overall accuracy in predicting SAP,ICU admission,and mortality.SOFA and Ranson’s score demonstrated the highest area under receiver-operator curves at 48 h in predicting SAP(0.966,0.857 respectively),ICU admission(0.943,0.946 respectively),and mortality(0.968,0.917 respectively).CONCLUSION The SOFA and 48-h Ranson’s scores accurately predict severity,ICU admission,and mortality in AP,with more favorable statistics for the SOFA score.展开更多
BACKGROUND The IFIH1 gene codes the MDA5 protein and the DDX58 gene codes the RIG-I receptor.Both proteins are parts of the interferon(IFN)I signaling pathway and are responsible for antiviral defense and innate immun...BACKGROUND The IFIH1 gene codes the MDA5 protein and the DDX58 gene codes the RIG-I receptor.Both proteins are parts of the interferon(IFN)I signaling pathway and are responsible for antiviral defense and innate immune response.IFIH1 and DDX58 polymorphisms are associated with a spectrum of autoimmune diseases.Rare gain-of-function IFIH1 mutations have been found in Singleton-Merten and Aicardi-Goutières syndrome,while DDX58 mutation can cause atypical Singleton-Merten syndrome.AIM To characterize children with pediatric rheumatic diseases(PRD)carrying DDX58 or IFIH1 variants.METHODS Clinical exome sequencing was performed on 92 children with different PRD.IFIH1 and DDX58 variants have been detected in 14 children.IFN-I score has been analyzed and the clinical characteristics of patients have been studied.RESULTS A total of seven patients with systemic lupus erythematosus(SLE)(n=2),myelodysplastic syndrome with SLE features at the onset of the disease(n=1),mixed connective tissue disease(MCTD)(n=1),undifferentiated systemic autoinflammatory disease(uSAID)(n=3)have 5 different variants of the DDX58 gene.A common non-pathogenic variant p.D580E has been found in five children.A rare variant of uncertain significance(VUS)p.N354S was found in one patient with uSAID,a rare likely non-pathogenic variant p.E37K in one patient with uSAID,and a rare likely pathogenic variant p.Cys864fs in a patient with SLE.Elevated IFN-I score was detected in 6 of 7 patients with DDX58 variants.Seven patients had six different IFIH1 variants.They were presented with uSAID(n=2),juvenile dermatomyositis(JDM)(n=1),SLElike disease(n=1),Periodic fever with aphthous stomatitis,pharyngitis,and adenitis syndrome(n=1),and systemic onset juvenile idiopathic arthritis(n=1).Three patients have VUS p.E627X,one patient has benign variant p.I923V.Rare VUS p.R595H was detected in the JDM patient.Another rare VUS p.L679Ifs*2 and previously not reported variant p.V599Ffs*5 were detected in the patient with uSAID.One patient with uSAID has rare VUS p.T520A.All patients had elevated IFN-I scores.CONCLUSION Rare compound-heterozygous IFIH1 variant(p.L679Ifs*2 and p.V599Ffs*5),heterozygous IFIH1 variant(p.T520A)and heterozygous DDX58 variant(p.Cys864fs)are probably disease causative for uSAID and SLE.The majority of patients with different DDX58 and IFI1 variants had hyperactivation of the IFN I signaling pathway.展开更多
文摘Objective:Our aim was to prospectively compare the Accuracy of Acute Physiology and Chronic Health Evaluation(APACHE)II,Bedside Index of Severity in Acute Pancreatitis(BISAP),Ranson’s score and modified Computed Tomography Severity Index(CTSI)in predicting the severity of acute pancreatitis based on Atlanta 2012 definitions in a tertiary care hospital in northern India.Methods:Fifty patients with acute pancreatitis admitted to our hospital during the period of March 2015 to September 2016 were included in the study.APACHE II,BISAP and Ranson’s score were calculated for all the cases.Modified CTSI was also determined based on a pancreatic protocol contrast enhanced computerized tomography(CT).Optimal cut-offs for these scoring systems and the area under the curve(AUC)were evaluated based on the receiver operating characteristics(ROC)curve and these scoring systems were compared prospectively.Results:Of the 50 cases,14 were graded as severe acute pancreatitis.Pancreatic necrosis was present in 15 patients,while 14 developed persistent organ failure and 14 needed intensive care unit(ICU)admission.The AUC for modified CTSI was consistently the highest for predicting severe acute pancreatitis(0.919),pancreatic necrosis(0.993),organ failure(0.893)and ICU admission(0.993).APACHE II was the second most accurate in predicting severe acute pancreatitis(AUC 0.834)and organ failure(0.831).APACHE II had a high sensitivity for predicting pancreatic necrosis(93.33%),organ failure(92.86%)and ICU admission(92.31%),and also had a high negative predictive value for predicting pancreatic necrosis(96.15%),organ failure(96.15%)and ICU admission(95.83%).Conclusion:APACHE II is a useful prognostic scoring system for predicting the severity of acute pancreatitis and can be a crucial aid in determining the group of patients that have a high chance of need for tertiary care during the course of their illness and therefore need early resuscitation and prompt referral,especially in resource-limited developing countries.
文摘Objective:Our aim was to prospectively evaluate the accuracy of the bedside index for severity in acute pancreatitis(BISAP)score in predicting mortality,as well as intermediate markers of severity,in a tertiary care centre in east central India,which caters mostly for an economically underprivileged population.Methods:A total of 119 consecutive cases with acute pancreatitis were admitted to our institution between November 2012 and October 2014.BISAP scores were calculated for all cases,within 24 hours of presentation.Ranson’s score and computed tomography severity index(CTSI)were also established.The respective abilities of the three scoring systems to predict mortality was evaluated using trend and discrimination analysis.The optimal cut-off score for mortality from the receiver operating characteristics(ROC)curve was used to evaluate the development of persistent organ failure and pancreatic necrosis(PNec).Results:Of the 119 cases,42(35.2%)developed organ failure and were classified as severe acute pancreatitis(SAP),47(39.5%)developed PNec,and 12(10.1%)died.The area under the curve(AUC)results for BISAP score in predicting SAP,PNec,and mortality were 0.962,0.934 and 0.846,respectively.Ranson’s score showed a slightly lower accuracy for predicting SAP(AUC 0.956)and mortality(AUC 0.841).CTSI was the most accurate in predicting PNec,with an AUC of 0.958.The sensitivity and specificity of BISAP score,with a cut-off of≥3 in predicting mortality,were 100%and 69.2%,respectively.Conclusions:The BISAP score represents a simple way of identifying,within 24 hours of presentation,patients at greater risk of dying and the development of intermediate markers of severity.This risk stratification method can be utilized to improve clinical care and facilitate enrolment in clinical trials.
文摘BACKGROUND Acute pancreatitis(AP)is a common surgical condition,with severe AP(SAP)potentially lethal.Many prognostic indices,including;acute physiology and chronic health evaluation II score(APACHE II),bedside index of severity in acute pancreatitis(BISAP),Glasgow score,harmless acute pancreatitis score(HAPS),Ranson’s score,and sequential organ failure assessment(SOFA)evaluate AP severity and predict mortality.AIM To evaluate these indices'utility in predicting severity,intensive care unit(ICU)admission,and mortality.METHODS A retrospective analysis of 653 patients with AP from July 2009 to September 2016 was performed.The demographic,clinical profile,and patient outcomes were collected.SAP was defined as per the revised Atlanta classification.Values for APACHE II score,BISAP,HAPS,and SOFA within 24 h of admission were retrospectively obtained based on laboratory results and patient evaluation recorded on a secure hospital-based online electronic platform.Data with<10%missing data was imputed via mean substitution.Other patient information such as demographics,disease etiology,and patient outcomes were also derived from electronic medical records.RESULTS The mean age was 58.7±17.5 years,with 58.7%males.Gallstones(n=404,61.9%),alcohol(n=38,5.8%),and hypertriglyceridemia(n=19,2.9%)were more common aetiologies.81(12.4%)patients developed SAP,20(3.1%)required ICU admission,and 12(1.8%)deaths were attributed to SAP.Ranson’s score and APACHE-II demonstrated the highest sensitivity in predicting SAP(92.6%,80.2%respectively),ICU admission(100%),and mortality(100%).While SOFA and BISAP demonstrated lowest sensitivity in predicting SAP(13.6%,24.7%respectively),ICU admission(40.0%,25.0%respectively)and mortality(50.0%,25.5%respectively).However,SOFA demonstrated the highest specificity in predicting SAP(99.7%),ICU admission(99.2%),and mortality(98.9%).SOFA demonstrated the highest positive predictive value,positive likelihood ratio,diagnostic odds ratio,and overall accuracy in predicting SAP,ICU admission,and mortality.SOFA and Ranson’s score demonstrated the highest area under receiver-operator curves at 48 h in predicting SAP(0.966,0.857 respectively),ICU admission(0.943,0.946 respectively),and mortality(0.968,0.917 respectively).CONCLUSION The SOFA and 48-h Ranson’s scores accurately predict severity,ICU admission,and mortality in AP,with more favorable statistics for the SOFA score.
文摘BACKGROUND The IFIH1 gene codes the MDA5 protein and the DDX58 gene codes the RIG-I receptor.Both proteins are parts of the interferon(IFN)I signaling pathway and are responsible for antiviral defense and innate immune response.IFIH1 and DDX58 polymorphisms are associated with a spectrum of autoimmune diseases.Rare gain-of-function IFIH1 mutations have been found in Singleton-Merten and Aicardi-Goutières syndrome,while DDX58 mutation can cause atypical Singleton-Merten syndrome.AIM To characterize children with pediatric rheumatic diseases(PRD)carrying DDX58 or IFIH1 variants.METHODS Clinical exome sequencing was performed on 92 children with different PRD.IFIH1 and DDX58 variants have been detected in 14 children.IFN-I score has been analyzed and the clinical characteristics of patients have been studied.RESULTS A total of seven patients with systemic lupus erythematosus(SLE)(n=2),myelodysplastic syndrome with SLE features at the onset of the disease(n=1),mixed connective tissue disease(MCTD)(n=1),undifferentiated systemic autoinflammatory disease(uSAID)(n=3)have 5 different variants of the DDX58 gene.A common non-pathogenic variant p.D580E has been found in five children.A rare variant of uncertain significance(VUS)p.N354S was found in one patient with uSAID,a rare likely non-pathogenic variant p.E37K in one patient with uSAID,and a rare likely pathogenic variant p.Cys864fs in a patient with SLE.Elevated IFN-I score was detected in 6 of 7 patients with DDX58 variants.Seven patients had six different IFIH1 variants.They were presented with uSAID(n=2),juvenile dermatomyositis(JDM)(n=1),SLElike disease(n=1),Periodic fever with aphthous stomatitis,pharyngitis,and adenitis syndrome(n=1),and systemic onset juvenile idiopathic arthritis(n=1).Three patients have VUS p.E627X,one patient has benign variant p.I923V.Rare VUS p.R595H was detected in the JDM patient.Another rare VUS p.L679Ifs*2 and previously not reported variant p.V599Ffs*5 were detected in the patient with uSAID.One patient with uSAID has rare VUS p.T520A.All patients had elevated IFN-I scores.CONCLUSION Rare compound-heterozygous IFIH1 variant(p.L679Ifs*2 and p.V599Ffs*5),heterozygous IFIH1 variant(p.T520A)and heterozygous DDX58 variant(p.Cys864fs)are probably disease causative for uSAID and SLE.The majority of patients with different DDX58 and IFI1 variants had hyperactivation of the IFN I signaling pathway.
