World journal of gastroenterology · 2014
New index to predict esophageal variceal bleeding in cirrhotic patients.
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Xu Xiao-Dan, Dai Jian-Jun, Qian Jian-Qing, Pin Xun, Wang Wei-Jun
Аннотация
AIM: To develop a safe, simple, noninvasive and affordable system to predict esophageal variceal bleeding (EVB) in decompensated cirrhosis patients.
METHODS: Four hundred and eighty-six patients with decompensated cirrhosis (238 males and 248 females), with a mean age of 63.1 ± 11.2 years, were admitted to Changshu Affiliated Hospital of Suzhou University between May 2008 and March 2011. Patients enrolled in this study underwent ultrasound-Doppler (US-Doppler) to assess left gastric vein (LGV) blood flow velocity (LGVV) and blood flow direction (LGVBFD), and were evaluated by the Model For End-Stage Liver Disease (MELD) scoring system. All patients received follow-up evaluations every three months. The resulting data were entered into a database after each time point collection.
RESULTS: Four hundred and sixteen patients completed follow-up evaluations for an average of 31.6 mo (range: 12 to 47 mo). Fifty-one (12.3%) patients experienced EVB. The change in the MELD score over three months (ΔMELD), LGVV and LGVBFD were independently associated with EVB occurrence. MELD-US-Doppler Index (MUI), a new index, was developed and calculated using the following logistic regression equation: MUI = Logit (P) = 1.667 (ΔMELD) + 2.096 (LGVV) - 3.245 (LGVBFD) - 1.697. The area under the receiver operating characteristic curve for prediction of EVB occurrence was significantly higher for the MUI [0.858 (95%CI: 0.774-0.920)] than for ΔMELD [0.734 (95%CI: 0.636-0.817); P < 0.05], LGVV [0.679 (95%CI: 0.578-0.769); P < 0.05] or LGVBFD [0.726 (95%CI: 0.627-0.810); P < 0.05] alone. When the MUI was set at 46, the index had high diagnostic accuracy (85.8%), with high specificity (80%) and sensitivity (87.27%).
CONCLUSION: The MUI, a noninvasive and affordable index, can predict EVB occurrence in decompensated cirrhotic patients and serve as an alternative when conventional endoscopic screening is declined.
METHODS: Four hundred and eighty-six patients with decompensated cirrhosis (238 males and 248 females), with a mean age of 63.1 ± 11.2 years, were admitted to Changshu Affiliated Hospital of Suzhou University between May 2008 and March 2011. Patients enrolled in this study underwent ultrasound-Doppler (US-Doppler) to assess left gastric vein (LGV) blood flow velocity (LGVV) and blood flow direction (LGVBFD), and were evaluated by the Model For End-Stage Liver Disease (MELD) scoring system. All patients received follow-up evaluations every three months. The resulting data were entered into a database after each time point collection.
RESULTS: Four hundred and sixteen patients completed follow-up evaluations for an average of 31.6 mo (range: 12 to 47 mo). Fifty-one (12.3%) patients experienced EVB. The change in the MELD score over three months (ΔMELD), LGVV and LGVBFD were independently associated with EVB occurrence. MELD-US-Doppler Index (MUI), a new index, was developed and calculated using the following logistic regression equation: MUI = Logit (P) = 1.667 (ΔMELD) + 2.096 (LGVV) - 3.245 (LGVBFD) - 1.697. The area under the receiver operating characteristic curve for prediction of EVB occurrence was significantly higher for the MUI [0.858 (95%CI: 0.774-0.920)] than for ΔMELD [0.734 (95%CI: 0.636-0.817); P < 0.05], LGVV [0.679 (95%CI: 0.578-0.769); P < 0.05] or LGVBFD [0.726 (95%CI: 0.627-0.810); P < 0.05] alone. When the MUI was set at 46, the index had high diagnostic accuracy (85.8%), with high specificity (80%) and sensitivity (87.27%).
CONCLUSION: The MUI, a noninvasive and affordable index, can predict EVB occurrence in decompensated cirrhotic patients and serve as an alternative when conventional endoscopic screening is declined.
Предметные рубрики MeSH
AgedAged, 80 and overArea Under CurveBlood Flow VelocityChi-Square DistributionChinaEsophageal and Gastric VaricesFemaleGastrointestinal HemorrhageHospitals, UniversityHumansLiver CirrhosisLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPredictive Value of TestsPrognosisROC CurveRisk AssessmentRisk FactorsSplanchnic CirculationStomachTime FactorsUltrasonography, Doppler, ColorVeins