Mario Lima, Dora Persichetti-Proietti, Neil Di Salvo, Claudio Antonellini, Michele Libri, Beatrice Randi, Michela Maffi, Tommaso Gargano, Giovanni Ruggeri, Vincenzo Davide Catania
{"title":"小儿阑尾炎(APPE)评分:疑似小儿急性阑尾炎的新诊断工具。","authors":"Mario Lima, Dora Persichetti-Proietti, Neil Di Salvo, Claudio Antonellini, Michele Libri, Beatrice Randi, Michela Maffi, Tommaso Gargano, Giovanni Ruggeri, Vincenzo Davide Catania","doi":"10.4081/pmc.2019.209","DOIUrl":null,"url":null,"abstract":"<p><p>Our aim was to develop an APpendictis-PEdiatric score (APPE score) in quantifying risk of acute appendicitis based on combination of clinical and laboratory markers. 1025 patients were classified in: acute appendicitis (AA) and non-appendicitis. Demographic/clinical features, and laboratory were collected. They were compared for quantitative-variables and categorical-variables. Significant predictors (P=<0,05) were included in logistic regression model. Based on regression-coefficients, a diagnostic score was tested by calculating the area under the ROC curve. Two cut-offs were established to define classes of risk of AA. 9 variables were identified as potentially predictors for AA. Those underwent logistic regression and a score was assigned, for maximum 21-points. The score showed an area under the curve: 0.831 and a linear proportion with the state of appendicular inflammation (R20.85). Patients with a score ≤8 were at low risk of AA (sensitivity 94%); those with a score ≥15 were at high risk for AA (specificity 93%). Those between 8 and 15 were defined at intermediate risk class. APPE-score guides clinicians in classifying patients with suspected-AA according to clinical and laboratory findings in order to improve their management.</p>","PeriodicalId":35535,"journal":{"name":"Pediatria Medica e Chirurgica","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4081/pmc.2019.209","citationCount":"6","resultStr":"{\"title\":\"The APpendicitis PEdiatric (APPE) score: a new diagnostic tool in suspected pediatric acute appendicitis.\",\"authors\":\"Mario Lima, Dora Persichetti-Proietti, Neil Di Salvo, Claudio Antonellini, Michele Libri, Beatrice Randi, Michela Maffi, Tommaso Gargano, Giovanni Ruggeri, Vincenzo Davide Catania\",\"doi\":\"10.4081/pmc.2019.209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Our aim was to develop an APpendictis-PEdiatric score (APPE score) in quantifying risk of acute appendicitis based on combination of clinical and laboratory markers. 1025 patients were classified in: acute appendicitis (AA) and non-appendicitis. Demographic/clinical features, and laboratory were collected. They were compared for quantitative-variables and categorical-variables. Significant predictors (P=<0,05) were included in logistic regression model. Based on regression-coefficients, a diagnostic score was tested by calculating the area under the ROC curve. Two cut-offs were established to define classes of risk of AA. 9 variables were identified as potentially predictors for AA. Those underwent logistic regression and a score was assigned, for maximum 21-points. The score showed an area under the curve: 0.831 and a linear proportion with the state of appendicular inflammation (R20.85). Patients with a score ≤8 were at low risk of AA (sensitivity 94%); those with a score ≥15 were at high risk for AA (specificity 93%). Those between 8 and 15 were defined at intermediate risk class. APPE-score guides clinicians in classifying patients with suspected-AA according to clinical and laboratory findings in order to improve their management.</p>\",\"PeriodicalId\":35535,\"journal\":{\"name\":\"Pediatria Medica e Chirurgica\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4081/pmc.2019.209\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatria Medica e Chirurgica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4081/pmc.2019.209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatria Medica e Chirurgica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4081/pmc.2019.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
The APpendicitis PEdiatric (APPE) score: a new diagnostic tool in suspected pediatric acute appendicitis.
Our aim was to develop an APpendictis-PEdiatric score (APPE score) in quantifying risk of acute appendicitis based on combination of clinical and laboratory markers. 1025 patients were classified in: acute appendicitis (AA) and non-appendicitis. Demographic/clinical features, and laboratory were collected. They were compared for quantitative-variables and categorical-variables. Significant predictors (P=<0,05) were included in logistic regression model. Based on regression-coefficients, a diagnostic score was tested by calculating the area under the ROC curve. Two cut-offs were established to define classes of risk of AA. 9 variables were identified as potentially predictors for AA. Those underwent logistic regression and a score was assigned, for maximum 21-points. The score showed an area under the curve: 0.831 and a linear proportion with the state of appendicular inflammation (R20.85). Patients with a score ≤8 were at low risk of AA (sensitivity 94%); those with a score ≥15 were at high risk for AA (specificity 93%). Those between 8 and 15 were defined at intermediate risk class. APPE-score guides clinicians in classifying patients with suspected-AA according to clinical and laboratory findings in order to improve their management.