Side Scatter Level of Main Populations in Peripheral Blood using Flow Cytometry as a Tool for the Screening/Detection of Dysplasia and Its Utility in the Diagnosis of Myelodysplastic Syndromes

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 5091-5091
Author(s):  
Ekaterina Rusanova ◽  
Ramon Simon-Lopez
Keyword(s):  
Flow Cytometry ◽  
Myelodysplastic Syndromes ◽  
Roc Curve ◽  
Statistical Significance ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Control Group ◽  
Roc Curve Analysis ◽  
Significance Level ◽  
The Mean

Abstract The myelodysplastic syndromes (MDS) are a group of clonal bone marrow disorders characterized by peripheral cytopenias, ineffective hematopoiesis, and unilineage or multilineage dysplasia. The feature used commonly for the diagnostic of MDS includes several morphological cell characteristics such as the presence of hypogranulation in the neutrophils. We have observed in our daily experience at the Mean Scatter of neutrophils was lower in MDS than in normal cases. We have observed that Lymphocyte scatter is quite constant in normal cases and in the majority of MDS. 11 patients diagnosed with MDS and 16 normal blood donors as a control group were enrolled into this study. The protocol of study included evaluation of blood cell populations by hematological analyzer GenS (BC), smears microscopy and flow cytometry for identification a level of granularity of neutrophils (FC500, BC). We created a single tube protocol for immunophenotyping of blood cells by multiparametric flow cytometry using a panel of monoclonal antibodies: CD14-FITC, CD16-PE, CD33-PC5 and CD45-PC7 (BC). We isolated the neutrophil and the lymphocyte populations by subsequent gating steps according to FS/SS, CD45/SS, CD45/CD16 and CD33/CD14. After gating, we measured the Mean Side Scatter in lymphocytes and neutrophils. In order to standardize the NE Mean Scatter we used also a ratio that was calculated by dividing the Neutrophil Mean Scatter by Lymphocyte Mean Scatter. Descriptive Statistics Mean Scatter n Mean SD Median Normals 16 633.6 99.7 612 MDS 11 564.4 83.1 543 Comparative Statistics Normals vs MDS T-test Mean differences ROC AUC ROC cut-off sensitivity specificity sign. ROC Mean NE Scatter 0.071 69.11 0.685 <=543 54.5 87.5 0.0732 Ratio NES/LYS 0.016 2.175 0.824 <=8.34 81.82 81.25 0.0001 The results show the consistent differences between the Neutrophil Mean Scatter in the MDS group compared with the normals with a p =0.07 near the level of statistical significance. The Ratio between Mean Scatter of Neutrophils and the Mean Scatter of Lymphocytes (Ratio NE S/LY S) was significantly lower in MDS than in the group of normals (p=0.016). The ROC Curve analysis using the Neutrophil Mean Scatter to detect/flag MDS showed an acceptable area under the curve AUC=0.685 (significance level 0.073) with a cut-off of <=533 we obtain a sensitivity of 54.5% with a specificity of 87.5%. The ROC Curve analysis using the Ratio NE S/LY S to detect/flag MDS have shown a good area under the curve AUC=0.824 (significance level 0.0001) with a cut-off of <=8.34 we obtain a sensitivity of 81.8% with a specificity of 81.2%. The fact about hypogranularity of the neutrophils is a well known feature of MDS. Using the Neutrophil Mean Scatter and the Ratio between Mean Scatter of Neutrophils and the Mean Scatter of Lymphocytes may be useful tool to detect or flag the neutrophil hypogranularity and will permit to help in the differential diagnosis of MDS. These data are numerical, quantitative and objective. It will be necessary to increase the number of cases (MDS) and to include other hematologic malignancies in order to see the specificity of this findings compared with other diseases.

scholarly journals CLINICAL SIGNIFICANCE OF PROCALCITONIN AND C-REACTIVE PROTEIN IN THE PREDICTION OF CARDIOVASCULAR COMPLICATIONS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

2017 ◽  
Vol 10 (9) ◽  
pp. 297
Author(s):  
Hanaa H. Ahmed ◽  
Wafaa Gh Shousha ◽  
Hatem A El Mezayen ◽  
Ibrahim A Emara ◽  
Marwa E Hassan
Keyword(s):  
Roc Curve ◽  
Cardiovascular Complication ◽  
Curve Analysis ◽  
Diabetic Patients ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Reactive Protein ◽  
The Mean ◽  
Type 2 Diabetic

  Objective: This work was delineated to assess procalcitonin (PCT) and C-reactive protein (CRP) as prognostic markers for cardiovascular complication in type 2 diabetic patients.Methods: Forty diabetic patients without cardiovascular disease (CVD), 40 diabetic patients with CVD, and 20 healthy control counterparts were participated in this study. Serum PCT and CRP levels were assayed and correlated with metabolic parameters. Receiver operating characteristic (ROC) curve analysis was done for each biochemical marker.Results: The mean level of PCT was 707.17±99.19 ng/l in diabetic patients versus 881.30±123.56 ng/l for the cardio-diabetic patients (p<0.0001). The mean value of CRP was 34.43±17.27 mg/l in diabetic patients versus 50.32±20.19 mg/l for the cardio-diabetic patients (p=0.0003). PCT levels were significantly amplified in the cardio-diabetic patients with increasing CRP, triglycerides (TG), fasting blood glucose (FBG), and cholesterol (p=0.004, 0.0005, 0.002, and 0.01, respectively). CRP levels were significantly enhanced in the cardio-diabetic patients with increasing TG, FBG, cholesterol, and microalbumin (p=0.002, 0.047, 0.003, and 0.001 respectively). ROC curve analysis for PCT and CRP revealed that the area under curve (AUC) was 0.878 and 0.727, respectively. These findings indicate the good validity of the above biomarkers especially PCT as a prognostic marker for cardiovascular complication in type 2 diabetic patients.Conclusion: This study evidences the usefulness of measuring serum levels of PCT and CRP in diagnosis of cardiovascular complication in type 2 diabetic patients.

scholarly journals A new “ASAP Scoring System and Risk Table” in patients with Atypical Small Acinar Proliferation (ASAP) to predict the second prostate biopsy outcomes

2021 ◽  
Author(s):  
Caner Ediz ◽  
Serkan Akan ◽  
Neslihan Kaya Terzi ◽  
Aysenur Ihvan
Keyword(s):  
Prostate Biopsy ◽  
Roc Curve ◽  
Scoring System ◽  
Risk Group ◽  
Area Under The Curve ◽  
Threshold Value ◽  
Roc Curve Analysis ◽  
Atypical Small Acinar Proliferation ◽  
The Mean ◽  
Density Assessment

Background: To discuss the necessity of the second prostate biopsy in the patients with atypical small acinar proliferation (ASAP) and to develop a scoring system and risk table as a new re-biopsy criteria. Methods: 2845 patients who were performed transrectal ultrasonography-guided prostate biopsy between January 2008 and May 2019 were evaluated. 128 patients, whose data were reached, were enrolled into the study. Before the first and the second biopsy, tPSA, fPSA, f/tPSA rate and PSA-Density assessment and changes in these parameters between the two biopsies were recorded. “ASAP Scoring System and risk table” (ASS-RT) was evaluated before the second biopsy. Results: The mean age of 128 patients with ASAP was 62.9±7.8 years. The ASS-RT scores of the patients with PCa were statistically significantly higher than the patients with non-PCa (p: 0.001). In the ROC curve analysis of ASS-RT, area under the curve was 0.804 and the standard error was 0.04. The area under the ROC curve was significantly higher than 0.5 (p:0.001). The cut-off point of ASS-RT score in diagnosis of malignancy was ≥ 7. The sensitivity of this value was found to be 60.8% and its specificity as 80.5%. Conclusions: The threshold value for the ASS-RT score may be used as 7 and the second biopsy may be performed immediately to patients over this value. We think that there may be no need for a second biopsy if the ASS-RT score under the 7 (especially low-risk group) before the second biopsy.

scholarly journals Evaluation of prediction score of contrast-induced nephropathy in inpatients undergone to digital or CT angiography

2020 ◽  
Vol 10 (3) ◽  
pp. 78-84
Author(s):  
Seleno Glauber de Jesus-Silva ◽  
Ana Elisa Chaves ◽  
Caio Augusto Alves Maciel ◽  
Edson Eziel Ferreira Scotini ◽  
Pablo Girardelli Mendonça Mesquita ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Roc Curve ◽  
Computed Tomography Angiography ◽  
Score Test ◽  
Area Under The Curve ◽  
Roc Curve Analysis ◽  
Contrast Induced Nephropathy ◽  
Mean Values ◽  
Iodinated Contrast ◽  
The Mean

Objectives: To assess the incidence of contrast-induced nephropathy (CIN) and determine the Mehran Score's (MS) ability to predict CIN in patients undergoing digital angiography or computed tomography angiography. Methods: 252 medical records of inpatients who underwent DA or CTA over 28 months in a quaternary hospital were reviewed. CIN was defined as serum creatinine> 0.5 mg / dL or > 25% increase in baseline creatinine, 48 h after administration of iodinated contrast. The ROC curve and the area under the curve (AUC) were used as a score test. Results: The majority (159; 63.1%) were male, and the average age was 60.4 years. Anemia, diabetes mellitus, and age > 75 years were the most prevalent factors. The incidence of CIN was 17.8% (n = 45). There was a decrease in the mean values ​​of creatinine pre and post among patients who did not suffer CIN (1.38 ± 1.22 vs 1.19 ± 0.89; t = 3.433; p = 0.0007), while among patients who suffering CIN, the mean increase was 1.03 mg / dL (1.43 ± 1.48 vs 2.46 ± 2.35 mg / dL; t = 5.44; p = 0.117). The ROC curve analysis identified a low correlation between MS and the occurrence of CIN (AUC = 0.506). Conclusion: The incidence of CIN in hospitalized patients undergoing angiography or computed tomography angiography was high. The EM did not allow the prediction of NIC.

scholarly journals The effect of BKV reactivation on cytokines behavior in kidney transplanted patients

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Zahra Rahimi ◽  
Ramin Yaghobi ◽  
Afsoon Afshari ◽  
Jamshid Roozbeh ◽  
Mohammad Javad Mokhtari ◽  
...  
Keyword(s):  
Real Time ◽  
Roc Curve ◽  
Real Time Pcr ◽  
Curve Analysis ◽  
Expression Level ◽  
Control Group ◽  
Roc Curve Analysis ◽  
Tnf Α ◽  
Ifn Γ ◽  
Inactive Group

Abstract Background BK virus associated nephropathy (BKVAN) is one of the common causes of graft loss among kidney transplanted recipients (KTRs). The current treatment for BKV nephropathy is decreasing the immunosuppressive regimen in KTRs. Interleukin-27 (IL-27) is a multifunctional cytokine that might be the front-runner of an important pathway in this regard. Therefore, in current study it is tried to evaluate the changes in the expression level of IL-27 and some related molecules, resulting from BKV reactivation in KTR patients. Methods EDTA-treated blood samples were collected from all participants. Patients were divided into two groups, 31 kidney transplant recipients with active and 32 inactive BKV infection, after being monitored by Real time PCR (Taq-Man) in plasma. Total of 30 normal individuals were considered as healthy control group. Real time PCR (SYBR Green) technique is used to determine the expression level of studied genes. Results The results of gene expression comparisons showed that the expression level of IL-27, IFN-γ, TNF-α, TNFR2 and IRF7 genes was significantly higher in inactive group in comparison to active group. The expression level of TLR4 was lower in both active and inactive groups in comparison to control group. ROC curve analysis showed that IL-27 and IRF7 are significantly different amongst other studied genes. Finally, the analyses revealed that the expression level of most of the studied genes (except for TNF-α and TLR4) have significant correlation with viral load. Conclusions Our findings revealed that IL-27, IFN-γ, TNF-α, TNFR2 and IRF7 expression level is higher in inactive group and TLR4 expression level is lower in patients’ groups in comparison to control group. Also, ROC curve analysis showed IL-27 and IRF7 can significantly differentiate studied groups (BKV active vs. inactive). Therefore, these results might help elucidating the pattern in charge of BKV reactivation in kidney transplanted patients.

Early detection of pancreatic ductal adenocarcinoma using abnormal urinary fragmentation ratio of a liver-originated protein.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 214-214
Author(s):  
Motoyasu Kan ◽  
Shuichi Mitsunaga ◽  
Masafumi Ikeda ◽  
Izumi Ohno ◽  
Hironobu Tsubouchi ◽  
...  
Keyword(s):  
Roc Curve ◽  
Curve Analysis ◽  
Control Group ◽  
Healthy Controls ◽  
Roc Curve Analysis ◽  
Protein Fragments ◽  
Abnormal Protein ◽  
Pdac Tissue ◽  
Healthy Control ◽  
Fragmentation Ratio

214 Background: Non PDAC tissue-originated proteins are cleaved by proteases derived from PDAC, which can result in abnormal cleavage patterns in the urine of PDAC patients. Urinary proteomic analysis for quantifying the ratios of the abnormal protein fragments to the non-fragmented protein levels in the urine may be useful to distinguish early PDAC from healthy controls. This proof-of-concept study was planned to determine the usefulness of measuring the protein fragments from non PDAC tissue-originated proteins in the urine using the multiple-reaction-monitoring technique (MRM) for discriminating resectable PDAC from healthy controls. Methods: Urinary proteins were digested with trypsin, and resultant peptides were measured by MRM analysis and the ratio of the level of each fragment to the non-fragmented protein level (fragmentation ratio) was calculated. Fragments for which the fragmentation ratios were higher in the PDAC group than those in the healthy group were defined as abnormal protein fragments. The diagnostic capability of each abnormal protein fragment for discriminating cases of PDAC from healthy controls was evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 21 patients with resectable PDAC and 30 healthy control subjects were enrolled in this study. All the PDAC patients were treated by pancreatic resection. Urine samples for this study were collected prior to the surgery from the PDAC patients. The non PDAC tissue-originated protein was determined as a liver-originated protein. The fragmentation ratios for six fragments were found to be higher in the PDAC group as compared to those in the healthy control group, and these fragments were determined as abnormal protein fragments. ROC curve analysis was performed for each of the abnormal fragments to determine the areas under the curve (AUCs) for discriminating cases of PDAC from healthy controls. The best AUC was 0.81 (95% CI, 0.68-0.91). Conclusions: The urinary fragmentation ratios showed the ability to discriminate cases of resectable PDAC from a healthy control group; abnormal fragmentation ratios may be promising, noninvasively measurable biomarkers of early PDAC.

scholarly journals Evaluation of serum AFP and DCP levels in the diagnosis of early-stage HBV-related HCC under different backgrounds

2020 ◽  
Vol 48 (10) ◽  
pp. 030006052096908
Author(s):  
Ting Song ◽  
Lili Wang ◽  
Ruopei Xin ◽  
Liping Zhang ◽  
Yun Tian
Keyword(s):  
Roc Curve ◽  
Diagnostic Performance ◽  
Operating Characteristic ◽  
Early Stage ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Chronic Hbv Infection ◽  
B Virus ◽  
Chronic Hbv

Objective This study compared the diagnostic performance of alpha-fetoprotein (AFP) and des-gamma-carboxyprothrombin (DCP) in early-stage hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) under different backgrounds. Methods Patients were enrolled and divided in four groups: chronic HBV infection (CHB), liver cirrhosis (LC), early-stage CHB-HCC, and early-stage LC-HCC. Serum AFP and DCP levels were measured. Receiver-operating characteristic (ROC) curve and area under the curve (AUC) analyses were applied to compare the diagnostic performance of DCP and AFP for HCC. Results In total, 200 patients were enrolled, including 48, 64, 33, and 55 patients with CHB, LC, CHB-HCC, and LC-HCC, respectively. ROC curve analysis revealed that the AUCs of AFP, DCP, and their combination in differentiating early-stage LC-HCC from LC were 0.776, 0.758, and 0.786, respectively. The values of these markers in discriminating early-stage CHB-HCC from CHB were 0.828, 0.731, and 0.862, respectively. Conclusions DCP was inferior to AFP in differentiating early-stage CHB-HCC from CHB. However, AFP and DCP displayed similar performance in distinguishing early-stage LC-HCC and LC.

scholarly journals Tumor-Educated Platelet miR-18a-3p as a Novel Liquid-Biopsy Biomarker for Early Diagnosis and Chemotherapy Efficacy Monitoring in Nasopharyngeal Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Kaiyu Sun ◽  
Hui Wang ◽  
Xianqun Xu ◽  
Xiuqi Wei ◽  
Jingyu Su ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Early Diagnosis ◽  
Roc Curve ◽  
Liquid Biopsy ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Clinical Value ◽  
Roc Curve Analysis ◽  
Expression Levels ◽  
Chemotherapy Efficacy

AimsTo evaluate the value of tumor-educated platelet (TEP) miR-18a-3p in the early diagnosis and chemotherapy efficacy monitoring of nasopharyngeal carcinoma (NPC).MethodsExpression levels of miR-18a-3p in platelets and plasma were detected by relative quantitative real-time PCR in NPC patients (n=54) and normal subjects (n=36). Diagnostic values of TEP miR-18a-3p for NPC was assessed by receiver operating characteristic (ROC) curve analysis. Follow up study was carried out to observe the dynamic changes of TEP miR-18a-3p with chemotherapy on 3 NPC patients.ResultsThe expression levels of TEP miR-18a-3p in NPC patients were significantly higher than that in healthy controls (p &lt; 0.0001). ROC curve analysis showed that the area under the curve (AUC) value was 0.841, the sensitivity and specificity for the diagnosis of NPC were 87% and 72.7%. No correlation was found between expression levels of TEP miR-18a-3p and patients’ clinical parameters and their NPC tumor-node-metastasis (TNM) stage. The positive rate of TEP miR-18a-3p and EBV DNA for NPC diagnosis were 85.4% and 66.7%. TEP miR-18a-3p expression were down-regulated after 77.8% (7 of 9) of chemotherapy, and in 66.7% (2 of 3) patients, TEP miR-18a-3p levels decreased after 3 cycles of chemotherapy.ConclusionThe expression levels of TEP miR-18a-3p are upregulated in NPC and have a high probability to downregulated after chemotherapy, indicating a significant clinical value. TEP miR-18a-3p might serve as a novel type of liquid-biopsy biomarker for early diagnosis and chemotherapy efficacy monitoring in NPC.

scholarly journals Risk Factors to Predict Ocular Metastasis in Older Adult Patients With Gastric Cancer:LDL, ApoA1, and CA724

2022 ◽  
Vol 21 ◽  
pp. 153303382110658
Author(s):  
Wen-Qing Shi ◽  
Shi-Nan Wu ◽  
Tie Sun ◽  
Hui-Ye Shu ◽  
Qi-Chen Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Demographic Characteristics ◽  
Curve Analysis ◽  
Apolipoprotein A1 ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Ocular Metastasis

Objective: The purpose of this study was to explore the risk factors for Ocular metastasis (OM) of Gastric cancer (GC). Methods: This is a retrospective cohort study. A total of 1165 patients with GC were enrolled in this study and divided into OM and non-ocular metastasis (NOM) groups. Chi-square and independent samples t tests were used to determine whether differences in demographic characteristics and serological indicators (SI) between the two groups were significant. In addition, binary logistic regression was used to analyze the value of various SI as risk factors for OM in patients with GC. The statistical threshold was set as P < .05. Finally, receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of various SI in differentiating the occurrence of OM in patients with GC. Results: The incidence of OM in older adults with GC was 1.1%. Adenocarcinoma was the most common type of GC in both groups, and there was no significant difference in demographic characteristics between the groups. Low-density lipoprotein (LDL), carbohydrate antigen-724 (CA724), and carcinoembryonic antigen levels were significantly higher in the OM group than the NOM group, while those of apolipoprotein A1 (ApoA1) were significantly lower in the OM than the NOM group. Binary logistic analysis showed that LDL, ApoA1, and CA724 were independent risk factors for OM in patients with GC ( P < .001, P = .033, and P = .008, respectively). ROC curve analysis generated area under the curve (AUC) values of 0.881, 0.576, and 0.906 for LDL, ApoA1, and CA724, respectively. In addition, combined analysis of LDL, ApoA1, and CA724 generated the highest AUC value of 0.924 ( P < .001). Conclusion: Among SI, LDL, ApoA1, and CA724 have predictive value for the occurrence of OM in GC, with the three factors combined having the highest value.

Screening for cognitive deficits with the Evaluation of Cognitive Processes involved in Disability in Schizophrenia scale

2018 ◽  
Vol 33 (1) ◽  
pp. 113-119 ◽  
Author(s):  
Paul Roux ◽  
Mathieu Urbach ◽  
Sandrine Fonteneau ◽  
Fabrice Berna ◽  
Lore Brunel ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Processes ◽  
Roc Curve ◽  
Standardized Test ◽  
Curve Analysis ◽  
Index Test ◽  
Neuropsychological Battery ◽  
Roc Curve Analysis ◽  
Cognitive Domains ◽  
The Mean

Objective: This study aimed to evaluate the validity of the Evaluation of Cognitive Processes involved in Disability in Schizophrenia scale (ECPDS) to discriminate for cognitive impairment in schizophrenia. Design: This multicentre cross-sectional study used a validation design with receiver operating characteristic (ROC) curve analysis. Settings: The study was undertaken in a French network of seven outward referral centres. Subjects: We recruited individuals with clinically stable schizophrenia diagnosed based on the Structured Clinical Interview for assessing Diagnostic and Statistical Manual of Mental Disorders (4th ed., rev.; DSM-IV-R) criteria. Main measures: The index test for cognitive impairment was ECPDS (independent variable), a 13-item scale completed by a relative of the participant. The reference standard was a standardized test battery that evaluated seven cognitive domains. Cognitive impairment was the dependent variable and was defined as an average z-score more than 1 SD below the normative mean in two or more cognitive domains. Results: Overall, 97 patients were included (67 with schizophrenia, 28 with schizoaffective disorder, and 2 with schizophreniform disorder). The mean age was 30.2 (SD 7.7) years, and there were 75 men (77.3%). There were 59 (60.8%) patients with cognitive impairment on the neuropsychological battery, and the mean ECPDS score was 27.3 (SD 7.3). The ROC curve analysis showed that the optimal ECPDS cut-off was 29.5. The area under the curve was 0.77, with 76.3% specificity and 71.1% sensitivity to discriminate against cognitive impairment. Conclusion: The ECPDS is a valid triage tool for detecting cognitive impairment in schizophrenia, before using an extensive neuropsychological battery, and holds promise for use in everyday clinical practice.

Gestational Age as a Predictor of Pregnancy Outcome After Repeat Cerclage

2021 ◽  
Author(s):  
Benshuo Cai ◽  
Xinni Na
Keyword(s):  
Survival Rate ◽  
Pregnancy Outcome ◽  
Gestational Age ◽  
Roc Curve ◽  
Univariate Analysis ◽  
Area Under The Curve ◽  
Roc Curve Analysis ◽  
Kaplan Meier ◽  
Significant Difference ◽  
The Mean

Abstract Background: The role of repeat cerclage (RC) as a remedy for patients with prolapsed membranes after prior cerclage remains controversial. We aimed to investigate whether gestational age (GA) could be used as a valuable factor for predicting pregnancy outcome following RC in women with prolapsed membranes after prior cerclage. Methods: We retrospectively investigated the clinical data of 29 patients who underwent RC resulting from prolapsed membrane after prior cerclage. Receiving operating characteristic (ROC) curve analysis and univariate analysis were performed to determine predictive factors. Patients were divided into two groups according to GA at RC, GA<24.2 weeks and GA≥24.2 weeks. Pregnancy outcomes were compared between groups.Results: The mean GA at prior cerclage was 16.5 weeks; mean GA at RC was 23.6 weeks. The mean GA at delivery was 27.8 weeks with a 69.0% neonatal survival rate. ROC curve and univariate analysis demonstrated that GA at RC was significantly predictive for neonatal survival (area under the curve: 0.928; p=0.000). Using a GA cut-off of ≥24.2 weeks at RC, the sensitivity and specificity of predicting neonatal survival were 93.75% and 61.54%, respectively. There was a significant difference in neonatal survival rate between the GA <24.2 weeks group and GA ≥24.2 weeks group (38.5% vs. 93.8%, p=0.003). Kaplan–Meier survival curves showed a lower incidence of neonatal death in the GA ≥24.2 weeks group (6.3%) compared with GA <24.2 weeks group (61.5%, p=0.023).Conclusions: GA could be a valuable factor for predicting pregnancy outcome post-RC in women with prolapsed membrane after prior cerclage.

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