目的利用ROC曲线分析的方法,探讨泪膜破裂时间(tear film break up time,BUT)和泪液分泌试验(schirmer test,ST)在诊断干眼症时的最佳临床临界值。方法 122位受访者进行了Saliabury干眼症问卷调查后行BUT检查及ST检查。根据主观干眼症...目的利用ROC曲线分析的方法,探讨泪膜破裂时间(tear film break up time,BUT)和泪液分泌试验(schirmer test,ST)在诊断干眼症时的最佳临床临界值。方法 122位受访者进行了Saliabury干眼症问卷调查后行BUT检查及ST检查。根据主观干眼症状问卷结果进行干眼症诊断,对BUT及ST客观检验结果分别予ROC曲线统计分析评判。结果从BUT的ROC曲线中我们发现当临界值为5s时,其干眼症诊断的灵敏性为70%以上,特异性60%左右;而当BUT临界值为10秒时,其灵敏性可以达95%,但其特异性仅为25%左右。同样,从ST的ROC曲线中我们发现当临界值为10mm时,其灵敏性为55%以上,特异度63%左右;而当临界值为5mm时,其特异性可以高达95%以上,但其灵敏性仅为20%左右。BUT的ROC曲线下面积大于ST的ROC曲线下面积。结论从ROC曲线分析结果我们认为BUT取5.0s,ST取10mm时其诊断干眼的的灵敏性和特异性组合相对较佳;在诊断干眼时BUT的诊断效能比ST更高。展开更多
Objective: The aim of the study was to evaluate the clinical significance of multiple tumor markers (CEA, AFP, CA72-4 and CA19-9) in patients with gastrocolic tumors by receiver operating characteristic (ROC) curve an...Objective: The aim of the study was to evaluate the clinical significance of multiple tumor markers (CEA, AFP, CA72-4 and CA19-9) in patients with gastrocolic tumors by receiver operating characteristic (ROC) curve and stepwise logistic regression (LR) analysis. Methods: The serum concentrations of CEA, AFP, CA72-4 and CA19-9 were measured with electrochemiluminescence immunoassay in 126 patients with gastrocolic tumors, 137 patients with benign gastrocolic disorders and 109 healthy controls. The area under the ROC curve (AUC) of CEA, AFP, CA72-4 and CA19-9 and stepwise LR results were compared by sensitivity, specificity, Youden's index and positive likelihood ratio/negative likelihood ratio. Results: The levels of four tested tumor markers in patients with gastrocolic tumors were significantly higher than those in benign gastrocolic group and normal controls. In the benign gastrocolic group, the AUC from stepwise logistic regression was larger than the AUC of four tumor markers respectively. Sensitivity, Youden's index and positive likelihood ratio/negative likelihood ratio were the highest in the combination assay of CA72-4, CEA, and CA19-9, as compared with one of the tumor markers alone. Conclusion: The use of ROC established by LR analysis model improved the diagnostic accuracy of gastrocolic tumors. For the screening of gastrocolic tumors, the AUC value of the combination probability index (sensitivity and specificity) was significantly higher than the values of the different tumour markers.展开更多
Objective To develop a tool capable of early and exactly predicting various outcomes in comatose survivors who restore spontaneous circulation after cardiopulmonary resuscitation (CPR) and validate its performance. ...Objective To develop a tool capable of early and exactly predicting various outcomes in comatose survivors who restore spontaneous circulation after cardiopulmonary resuscitation (CPR) and validate its performance. Methods Variables that were both readily available and predictive of outcomes were identified by systematically reviewing published literature on resuscitation. A value was assigned to these variables. We used these variables in combination with APACHE II score to devise a multifactorial prediction score system, which we called PRCSs Prognostication Score (PRCSs-PS). Outcomes in 115 hospitalized comatose survivors after CPR were retrospectively reviewed using PRCSs-PS. Score of patients with different outcomes was compared. The area under the receiver- operating characteristic (ROC) curve was determined to evaluate performance of this tool to identify patients with a poor outcome (CPC4 and 5) and other outcomes (CPC1, 2, and 3). Results There were differences of PRCSs-PS score among multiple groups with five different outcomes (CPC 1-5)(F=65.91, P=0.000). Pairwise groups with different CPC were compared: no significant difference was noted between CPC1 and CPC2 (12.41±6.49 vs 17.38±6.91,P=0.092), but difference between other pairwise CPC groups was statistically significant (CPC2 vs CPC3:17.38±6.91 vs 24.50±5.80, P=0.041, CPC3 vs CPC4:24.50±5.80 vs 32.29±5.24, P=0.006). The performance of PRCSs-PS to discriminate patients with a poor outcome from patients with other outcomes went as follows: it had 100% sensitivity, 78.6% specificity, and 178.6 diagnostic index at the score cut-off22.5; it had 77.8% sensitivity, 100% specificity and 176.4 diagnostic index at the score cut-off32.5. Score 23 and 33 were two key cut-offpoints. The area under the ROC curve was 0.968, showing excellent discrimination. Conclusions The final outcomes in post-resuscitation comatose survivors can be accurately predicted using PRCSs-PS Score.展开更多
文摘目的利用ROC曲线分析的方法,探讨泪膜破裂时间(tear film break up time,BUT)和泪液分泌试验(schirmer test,ST)在诊断干眼症时的最佳临床临界值。方法 122位受访者进行了Saliabury干眼症问卷调查后行BUT检查及ST检查。根据主观干眼症状问卷结果进行干眼症诊断,对BUT及ST客观检验结果分别予ROC曲线统计分析评判。结果从BUT的ROC曲线中我们发现当临界值为5s时,其干眼症诊断的灵敏性为70%以上,特异性60%左右;而当BUT临界值为10秒时,其灵敏性可以达95%,但其特异性仅为25%左右。同样,从ST的ROC曲线中我们发现当临界值为10mm时,其灵敏性为55%以上,特异度63%左右;而当临界值为5mm时,其特异性可以高达95%以上,但其灵敏性仅为20%左右。BUT的ROC曲线下面积大于ST的ROC曲线下面积。结论从ROC曲线分析结果我们认为BUT取5.0s,ST取10mm时其诊断干眼的的灵敏性和特异性组合相对较佳;在诊断干眼时BUT的诊断效能比ST更高。
基金Supported by grants from Major Project Grant of Department of Education of the Sichuan Province (No. 09ZA045)the Public Health Project Grant of Sichuan Province (No. 100258)the Affiliated Hospital of Luzhou Medical College (No. 201143)
文摘Objective: The aim of the study was to evaluate the clinical significance of multiple tumor markers (CEA, AFP, CA72-4 and CA19-9) in patients with gastrocolic tumors by receiver operating characteristic (ROC) curve and stepwise logistic regression (LR) analysis. Methods: The serum concentrations of CEA, AFP, CA72-4 and CA19-9 were measured with electrochemiluminescence immunoassay in 126 patients with gastrocolic tumors, 137 patients with benign gastrocolic disorders and 109 healthy controls. The area under the ROC curve (AUC) of CEA, AFP, CA72-4 and CA19-9 and stepwise LR results were compared by sensitivity, specificity, Youden's index and positive likelihood ratio/negative likelihood ratio. Results: The levels of four tested tumor markers in patients with gastrocolic tumors were significantly higher than those in benign gastrocolic group and normal controls. In the benign gastrocolic group, the AUC from stepwise logistic regression was larger than the AUC of four tumor markers respectively. Sensitivity, Youden's index and positive likelihood ratio/negative likelihood ratio were the highest in the combination assay of CA72-4, CEA, and CA19-9, as compared with one of the tumor markers alone. Conclusion: The use of ROC established by LR analysis model improved the diagnostic accuracy of gastrocolic tumors. For the screening of gastrocolic tumors, the AUC value of the combination probability index (sensitivity and specificity) was significantly higher than the values of the different tumour markers.
文摘Objective To develop a tool capable of early and exactly predicting various outcomes in comatose survivors who restore spontaneous circulation after cardiopulmonary resuscitation (CPR) and validate its performance. Methods Variables that were both readily available and predictive of outcomes were identified by systematically reviewing published literature on resuscitation. A value was assigned to these variables. We used these variables in combination with APACHE II score to devise a multifactorial prediction score system, which we called PRCSs Prognostication Score (PRCSs-PS). Outcomes in 115 hospitalized comatose survivors after CPR were retrospectively reviewed using PRCSs-PS. Score of patients with different outcomes was compared. The area under the receiver- operating characteristic (ROC) curve was determined to evaluate performance of this tool to identify patients with a poor outcome (CPC4 and 5) and other outcomes (CPC1, 2, and 3). Results There were differences of PRCSs-PS score among multiple groups with five different outcomes (CPC 1-5)(F=65.91, P=0.000). Pairwise groups with different CPC were compared: no significant difference was noted between CPC1 and CPC2 (12.41±6.49 vs 17.38±6.91,P=0.092), but difference between other pairwise CPC groups was statistically significant (CPC2 vs CPC3:17.38±6.91 vs 24.50±5.80, P=0.041, CPC3 vs CPC4:24.50±5.80 vs 32.29±5.24, P=0.006). The performance of PRCSs-PS to discriminate patients with a poor outcome from patients with other outcomes went as follows: it had 100% sensitivity, 78.6% specificity, and 178.6 diagnostic index at the score cut-off22.5; it had 77.8% sensitivity, 100% specificity and 176.4 diagnostic index at the score cut-off32.5. Score 23 and 33 were two key cut-offpoints. The area under the ROC curve was 0.968, showing excellent discrimination. Conclusions The final outcomes in post-resuscitation comatose survivors can be accurately predicted using PRCSs-PS Score.