OBJECTIVE: To explore the diagnostic value of combined modified Alvarado scores (MAS) and computed tomography imaging in the pathological types of acute appendicitis in adults. METHODS: Clinical data of a total of 396 adult patients with acute appendicitis confirmed by surgery and pathology were analyzed retrospectively from June 2007 to July 2010. Case-control study was used to investigate the MAS. CT signs were studied in 115 patients who underwent preoperative CT scan. Univariable analysis was performed using each indicator among different pathological types. Discriminant classification was formed by applying significant variables identified from univariable analysis and a Fisher discriminant function was created. RESULTS: Twenty three variables were statistically significant among different pathological types after univariable analysis(P<0.05) and were selected for discriminant analysis. Six variables including temperature(X1), leucocyte count(X2), the proportion of neutrophil(X3), MAS points(X4), periappendiceal fat stranding(X5), and extraluminal air(X6) were enrolled. The discriminant function equation was Y1=0.012X1+0.041X2+0.069X3-0.039X4+2.653X5+1.418X6, Y2=0.327X1+0.041X2-0.034X3-0.140X4-1.114X5+2.982X6. The accuracy was 76.5%(88/115) in retrospective assessment and 77.8%(21/27) in prospective assessment. CONCLUSION: The combined use of MAS and CT imaging signs is useful in identifying the pathological types of acute appendicitis in adults, so it is helpful in choosing reasonable therapeutic option for surgeons.
OBJECTIVE: To explore the diagnostic value of combined modified Alvarado scores (MAS) and computed tomography imaging in the pathological types of acute appendicitis in adults. METHODS: Clinical data of a total of 396 adult patients with acute appendicitis confirmed by surgery and pathology were analyzed retrospectively from June 2007 to July 2010. Case-control study was used to investigate the MAS. CT signs were studied in 115 patients who underwent preoperative CT scan. Univariable analysis was performed using each indicator among different pathological types. Discriminant classification was formed by applying significant variables identified from univariable analysis and a Fisher discriminant function was created. RESULTS: Twenty three variables were statistically significant among different pathological types after univariable analysis(P<0.05) and were selected for discriminant analysis. Six variables including temperature(X1), leucocyte count(X2), the proportion of neutrophil(X3), MAS points(X4), periappendiceal fat stranding(X5), and extraluminal air(X6) were enrolled. The discriminant function equation was Y1=0.012X1+0.041X2+0.069X3-0.039X4+2.653X5+1.418X6, Y2=0.327X1+0.041X2-0.034X3-0.140X4-1.114X5+2.982X6. The accuracy was 76.5%(88/115) in retrospective assessment and 77.8%(21/27) in prospective assessment. CONCLUSION: The combined use of MAS and CT imaging signs is useful in identifying the pathological types of acute appendicitis in adults, so it is helpful in choosing reasonable therapeutic option for surgeons.