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1.
Journal of Clinical Hepatology ; (12): 2061-2066, 2022.
Artículo en Chino | WPRIM | ID: wpr-942660

RESUMEN

Objective To investigate the value of different immune and inflammatory indices in predicting the survival outcome of patients with intrahepatic cholangiocarcinoma (ICC) after curative-intent resection. Methods A retrospective analysis was performed for the case data of 122 patients with ICC who underwent curative-intent resection in Affiliated Hospital of Weifang Medical University and Tianjin Medical University Cancer Institute and Hospital from January 2012 to December 2017 to analyze the correlation of neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII), prognostic inflammation index (PII), inflammation score (IS), and systemic inflammation score (SIS) with the disease-free survival (DFS) and overall survival of ICC patients after surgery, and the value of the above indices in predicting prognosis was evaluated. The chi-square test or the Fisher's exact test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves, and the Log-rank test was used for comparison between groups; the Cox regression model was used for univariate and multivariate analyses, and hazard ratio ( HR ) and 95% confidence interval [ CI ] were calculated. Results The univariate survival analysis showed that NLR ( HR =2.212, P =0.004), LMR ( HR =0.403, P =0.012), PII ( HR =3.013, P < 0.001), prognostic nutritional index (PNI) ( HR =0.530, P =0.019), IS ( HR =1.809, P =0.001), SII ( HR =2.107, P =0.002), and SIS ( HR =2.225, P < 0.001) were predictive factors for postoperative DFS of patients with ICC, and NLR ( HR =2.416, P =0.009), LMR ( HR =0.297, P =0.008), PII ( HR =3.288, P < 0.001), PNI ( HR =0.292, P =0.003), IS ( HR =2.048, P =0.002), SII ( HR =1.839, P =0.049), and SIS ( HR =2.335, P < 0.001) were predictive factors for postoperative OS of patients with ICC. The multivariate survival analysis showed that high levels of PII ( HR =2.146, P =0.035) and SIS ( HR =2.511, P < 0.001) were independent influencing factors for postoperative DFS of ICC patients, and high levels of PII ( HR =2.981, P =0.009), PNI ( HR =0.261, P =0.002), and SIS ( HR =2.294, P =0.010) were independent influencing factors for postoperative OS. The patients with a high level of PII tended to have advanced tumor T stage ( χ 2 =8.777, P =0.003) and M stage ( P =0.029), and the patients with high-grade SIS tended to have advanced N stage ( χ 2 =9.985, P =0.030) and M stage ( χ 2 =8.574, P =0.012). Conclusion Among the various inflammation indices, PII and SIS are recommended for preoperative stratification and prediction of the outcome of ICC patients after curative-intent resection.

2.
Chinese Critical Care Medicine ; (12): 554-557, 2018.
Artículo en Chino | WPRIM | ID: wpr-703688

RESUMEN

Objective To compare the accuracy of electroencephalography (EEG) grading scale with amplitude-integrated electroencephalography (aEEG) in predicting poor outcomes (3-month), who sustained coma after cardiopulmonary resuscitation (CPR) in adults. Methods A retrospective study was conducted. The patients with post-anoxic coma admitted to intensive care unit (ICU) of Tongren Hospital, Capital Medical University from March 2010 to June 2017 were enrolled. EEG was registered and recorded at least once within 7 days of coma after CPR, while not being subjected to therapeutic hypothermia. General data, Glasgow coma scale (GCS), EEG grading and aEEG model were collected. According to Glasgow prognosis score (GOS) of 3-month outcome, patients were divided into poor prognosis group (GOS 1-2) and good prognosis group (GOS 3-5), and the differences of related indexes between the two groups were compared. The predictive ability of aEEG model and EEG grading for brain function prognosis was evaluated by receiver operating characteristic (ROC) curve. Results Fifty-four patients were included, with 31 males and 23 females, and age of (53.9±19.3) years. Among the EEG Young grades, 17 cases (31.5%) were grade 1, 4 cases (7.4%) were grade 2-5, and 33 cases (61.1%) were grade 6. Among the aEEG model grades, 26 cases (48.1%) had slow wave pattern grade 1, 23 cases (42.6%) had suppressed mode grade 4, 4 cases (7.4%) had status epilepticus mode grade 2, and 1 case (1.9%) had burst suppression mode grade 3. Thirty-six patients had poor prognosis 3-month after onset, 26 of them died and 10 had persistent vegetative state. The prognosis was good in 18 cases, including 16 cases with severe neurological disability and 2 cases with moderate neurological disability. There was no significant difference in gender, age, anoxic time between two groups with different prognosis, while the degree of consciousness disorder in poor prognosis group was more severe than that in good prognosis group (GCS score: 4.1±1.7 vs. 5.0±2.1, P < 0.05). The consistency test showed that different physicians had good consistency in EEG grading and aEEG model (Kappa values were 0.917 and 0.932, respectively). It was shown by ROC curve analysis that the area under ROC curve (AUC) of aEEG model and EEG grading for predicting poor prognosis of coma patients after CPR were 0.815 and 0.720, respectively (both P < 0.01); when the cut-off value of aEEG was 2.5, the sensitivity was 79.3%, the specificity was 77.4%, the positive likelihood ratios (PLR) was 3.508, and the negative likelihood ratios (NLR) was 0.267; when the cut-off value of EEG grading was 4.5, the sensitivity was 82.8%, the specificity was 61.3%, the PLR was 2.140, and NLR was 0.281. Conclusions aEEG model was more accurate in prognosticating poor outcomes (3-month) in patients with post-anoxic coma, when compared to EEG grading. Its operation was simple, so aEEG is very suitable in ICU.

3.
Chinese Journal of Dermatology ; (12): 708-710, 2012.
Artículo en Chino | WPRIM | ID: wpr-420898

RESUMEN

Objective To detect Ureaplasma urealyticum (Uu) and Mycoplasma hominis (Mh) in urogenital tract of healthy elementary and high school students,and to determine the biovars and serotypes of Uu isolates.Methods Urine specimens were collected from 957 healthy school children,including 404 elementary school students,260 junior high school students and 293 senior high school students,and submitted for Uu and Mh culture in selective liquid medium.Thc specimens positive for Uu and (or) Mh culture were subsequently subjected to PCR.The biovars and serotypes of Uu were determined.Results Uu was detected in 4.81% (46/957) of the school children.Among the 46 Uu positive specimens,32 (69.57%) harbored Ureaplasma Parvum (biovar 1 ),14 (30.43%) Ureaplasma urealytieum (biovar 2); 12 (2.97%) were from elementary school students,including 9(75.00%) cases of Ureaplasma Parvum and 3(25.00%) Ureaplasma urealytieum,8(3.08%) were from junior high school students,including 5 cases of Ureaplasma Parvum and 3 Ureaplasma urealytieum,26 (8.87%) were from senior high school students,including 18 (69.23%) cases of Ureaplasma Parvum and 8 (30.77%)Ureaplasma urealytieum.Mh was positive in 9 (0.94%) school students,including 1 elementary school student,1 junior school student and 7 senior high school students.The detection rate of Uu was significantly higher in females than in males in all the 3 groups (elementary school,junior and senior high school) of students.Conclusions Mh and Uu are commensals in urogenital tract of elementary and high school students without symptoms.Ureaplasma Parvum is the predominant biovar in this population,though Ureaplasma urealytieum accounts for a significant proportion,which implies that Uu is commensal in healthy elementary and high school students,and females are more liable to be colonized than males.

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