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The value of pancreatic stone protein in predicting acute appendicitis in patients presenting at the emergency department with abdominal pain.

ABSTRACT: Pancreatic Stone Protein (PSP) is a protein naturally produced mainly in the pancreas and the gut. There is evidence from experimental and clinical trials that blood PSP levels rise in the presence of inflammation or infection. However, it is not known whether PSP is superior to other established blood tests (e.g. White Blood Count, Neutrophils or C - reactive protein) in predicting appendicitis in patients presenting with abdominal pain and a clinical suspicion of appendicitis at the emergency room.The PSP Appendix Trial is a prospective, multi-center, cohort study to assess the value of PSP in the diagnostic workup of acute appendicitis. 245 patients will be prospectively recruited. Interim analysis will be performed once 123 patients are recruited. The primary endpoint of the study concerns the diagnostic accuracy of PSP in predicting acute appendicitis and therefore the evidence of appendicitis on the histopathological specimen after appendectomy.The PSP Appendix Trial is a prospective, multi-center, cohort study to assess the value of PSP in the diagnostic workup of acute appendicitis.ClinicalTrials.gov: NCT01610193; Institution Ethical Board Approval ID: KEKZH- Nr. 2011-0501.

SUBMITTER: Tschuor C

PROVIDER: S-EPMC3503734 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

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The value of pancreatic stone protein in predicting acute appendicitis in patients presenting at the emergency department with abdominal pain.

Tschuor Christoph C Raptis Dimitri Aristotle DA Limani Përparim P Bächler Thomas T Oberkofler Christian Eugen CE Breitenstein Stefan S Graf Rolf R

BMC gastroenterology 20121025

<h4>Background</h4>Pancreatic Stone Protein (PSP) is a protein naturally produced mainly in the pancreas and the gut. There is evidence from experimental and clinical trials that blood PSP levels rise in the presence of inflammation or infection. However, it is not known whether PSP is superior to other established blood tests (e.g. White Blood Count, Neutrophils or C - reactive protein) in predicting appendicitis in patients presenting with abdominal pain and a clinical suspicion of appendiciti ...[more]

PMID: 23098130

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Project description:BackgroundEarly screening and accurately identifying Acute Appendicitis (AA) among patients with undifferentiated symptoms associated with appendicitis during their emergency visit will improve patient safety and health care quality. The aim of the study was to compare models that predict AA among patients with undifferentiated symptoms at emergency visits using both structured data and free-text data from a national survey.MethodsWe performed a secondary data analysis on the 2005-2017 United States National Hospital Ambulatory Medical Care Survey (NHAMCS) data to estimate the association between emergency department (ED) patients with the diagnosis of AA, and the demographic and clinical factors present at ED visits during a patient's ED stay. We used binary logistic regression (LR) and random forest (RF) models incorporating natural language processing (NLP) to predict AA diagnosis among patients with undifferentiated symptoms.ResultsAmong the 40,441 ED patients with assigned International Classification of Diseases (ICD) codes of AA and appendicitis-related symptoms between 2005 and 2017, 655 adults (2.3%) and 256 children (2.2%) had AA. For the LR model identifying AA diagnosis among adult ED patients, the c-statistic was 0.72 (95% CI: 0.69-0.75) for structured variables only, 0.72 (95% CI: 0.69-0.75) for unstructured variables only, and 0.78 (95% CI: 0.76-0.80) when including both structured and unstructured variables. For the LR model identifying AA diagnosis among pediatric ED patients, the c-statistic was 0.84 (95% CI: 0.79-0.89) for including structured variables only, 0.78 (95% CI: 0.72-0.84) for unstructured variables, and 0.87 (95% CI: 0.83-0.91) when including both structured and unstructured variables. The RF method showed similar c-statistic to the corresponding LR model.ConclusionsWe developed predictive models that can predict the AA diagnosis for adult and pediatric ED patients, and the predictive accuracy was improved with the inclusion of NLP elements and approaches.

Project description:STUDY OBJECTIVE:We compare the efficacy and safety of intravenous lidocaine with that of hydromorphone for the treatment of acute abdominal pain in the emergency department (ED). METHODS:This was a randomized, double-blind, clinical trial conducted in 2 EDs in the Bronx, NY. Adults weighing 60 to 120 kg were randomized to receive 120 mg of intravenous lidocaine or 1 mg of intravenous hydromorphone. Thirty minutes after administration of the first dose of the study drug, participants were asked whether they needed a second dose of the investigational medication to which they were randomized. Patients were also stratified according to clinical suspicion of nephrolithiasis. The primary outcome was improvement in pain scores of 0 to 10 between baseline and 90 minutes. An important secondary outcome was need for "off-protocol" parenteral analgesics, including opioids and nonsteroidal anti-inflammatory drugs. RESULTS:We enrolled 154 patients, of whom 77 received lidocaine and 77 received hydromorphone. By 90 minutes, patients randomized to lidocaine improved by a mean of 3.8 points on the 0-to-10 scale, whereas those randomized to hydromorphone improved by a mean of 5.0 points (mean difference 1.2; 95% confidence interval 0.3 to 2.2). Need for off-protocol "rescue" analgesics occurred for 39 of 77 lidocaine patients (51%) and 20 of 77 hydromorphone patients (26%) (difference 25%; 95% confidence interval 10% to 40%). Adverse events were comparable between groups. Among the subset of 22 patients with nephrolithiasis, lidocaine patients reported a mean improvement of 3.4 points on the pain scale, whereas hydromorphone patients reported a mean improvement of 6.4 points (mean difference 3.0; 95% confidence interval 0.5 to 5.5). CONCLUSION:Intravenous hydromorphone was superior to intravenous lidocaine both for general abdominal pain and a subset of patients with nephrolithiasis. A majority of patients randomly allocated to lidocaine required additional analgesics.

Project description:ImportanceHospital care for children is becoming more concentrated, with interhospital transfer occurring more frequently even for common conditions. Condition-specific analysis is required to determine the value, costs, and consequences of this trend.ObjectivesTo describe the capabilities of transferring and receiving hospitals and to determine how often children transferred after an initial diagnosis of abdominal pain or appendicitis require higher levels of care.Design, setting, and participantsRetrospective cohort analysis using the 2 most recent available inpatient and emergency department administrative data sets from all acute care hospitals in California from 2010 to 2011 and Florida, Massachusetts, and New York from 2013 to 2014. Data were analyzed between February and June 2018. All patients younger than 18 years with a primary diagnosis of abdominal pain or appendicitis who underwent an interhospital transfer and whose care could be matched through unique identifiers were included.Main outcomes and measuresOutcomes after hospital transfers, classified into encounters with major surgical procedures, imaging diagnostics, and no major procedures. Pediatric Hospital Capability Index of transferring and receiving hospitals.ResultsThere were 465?143 pediatric hospital encounters for abdominal pain and appendicitis, including 53?517 inpatient admissions and 15?275 transfers. Among them, 4469 could be matched to encounters in receiving hospitals. The median (interquartile range) age of this cohort was 10 (7-14) years, with 54.8% female (2449 patients), 40.9% male (1830 patients), and 4.3% unreported sex (190 patients). The increase in capability at the receiving hospital compared with the transferring hospital was large (median [interquartile range] change in Pediatric Hospital Capability Index score, 0.70 [0.54-0.82]), with 9.2% of hospitals (57) with very high capability (Pediatric Hospital Capability Index score >0.77) receiving 80.8% of the total transfers (3610). Diagnostic imaging was undertaken in the care of 710 transferred patients (15.9%) and invasive procedures were performed in 2421 patients (54.2%), including 2153 appendectomies. No imaging or surgery was required in the care of 1338 transfers (29.9%).Conclusions and relevanceIn this study, interfacility transfers of patients with appendicitis and abdominal pain were concentrated toward high-capability hospitals, and about 30% of patients were released without apparent intervention. These findings suggest an opportunity for improving care and decreasing cost through better interfacility coordination, such as standardized management protocols and telemedicine with high-capability hospitals. Further research is needed to identify similar opportunities among other common conditions.

Project description:BackgroundSepsis is a life-threatening condition, causing almost one fifth of all deaths worldwide. The aim of the current study was to identify variables predictive of 7- and 30-day mortality among variables reflective of the presentation of septic patients arriving to the emergency department (ED) using machine learning.MethodsRetrospective cross-sectional design, including all patients arriving to the ED at Södersjukhuset in Sweden during 2013 and discharged with an International Classification of Diseases (ICD)-10 code corresponding to sepsis. All predictions were made using a Balanced Random Forest Classifier and 91 variables reflecting ED presentation. An exhaustive search was used to remove unnecessary variables in the final model. A 10-fold cross validation was performed and the accuracy was described using the mean value of the following: AUC, sensitivity, specificity, PPV, NPV, positive LR and negative LR.ResultsThe study population included 445 septic patients, randomised to a training (n = 356, 80%) and a validation set (n = 89, 20%). The six most important variables for predicting 7-day mortality were: "fever", "abnormal verbal response", "low saturation", "arrival by emergency medical services (EMS)", "abnormal behaviour or level of consciousness" and "chills". The model including these variables had an AUC of 0.83 (95% CI: 0.80-0.86). The final model predicting 30-day mortality used similar six variables, however, including "breathing difficulties" instead of "abnormal behaviour or level of consciousness". This model achieved an AUC = 0.80 (CI 95%, 0.78-0.82).ConclusionsThe results suggest that six specific variables were predictive of 7- and 30-day mortality with good accuracy which suggests that these symptoms, observations and mode of arrival may be important components to include along with vital signs in a future prediction tool of mortality among septic patients presenting to the ED. In addition, the Random Forests appears to be a suitable machine learning method on which to build future studies.

Dataset Information

The value of pancreatic stone protein in predicting acute appendicitis in patients presenting at the emergency department with abdominal pain.

Publications

The value of pancreatic stone protein in predicting acute appendicitis in patients presenting at the emergency department with abdominal pain.

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