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 ◽  
...  

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.

Author(s):  
Caner Ediz ◽  
Serkan Akan ◽  
Neslihan Kaya Terzi ◽  
Aysenur Ihvan

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.


2021 ◽  
Author(s):  
Benshuo Cai ◽  
Xinni Na

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.


Author(s):  
Caner Ediz ◽  
Serkan Akan ◽  
Neslihan Kaya Terzi ◽  
Aysenur Ihvan

IntroductionThis study aimed to discuss the necessity of a second prostate biopsy in patients with atypical small acinar proliferation (ASAP) and to develop a scoring system and risk table to be used as new criteria for a second biopsy.Material and methodsThe study reviewed the data of 2,845 patients; who underwent transrectal ultrasonography-guided prostate biopsy in the period between January 2008 and May 2019. A total of 128 patients with ASAP were included in the study. The tPSA, fPSA, f/tPSA, and PSA-Density levels before the first and second biopsies and changes in the measured levels between the values obtained before the first and the second biopsies were recorded. “ASAP Scoring System and risk table” (ASS-RT) was evaluated before the second biopsy.ResultsThe mean age of 128 patients with ASAP was 62.9±7.8 years. The ASS-RT scores of prostate cancer patients were significantly higher compared to patients without prostate cancer (p: 0.001). In the ROC curve analysis of ASS-RT, the 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 scores in diagnosing cancer was ≥ 7 with 60.8% sensitivity and 80.5% specificityConclusionsThe cut-off value of 7 determined for the ASS-RT score in this study suggests that patients with ASS-RT scores of ≥7 should undergo a second prostate biopsy. We think that there may be no need for a second biopsy if the ASS-RT score is <7, especially for low-risk patients.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 5091-5091
Author(s):  
Ekaterina Rusanova ◽  
Ramon Simon-Lopez

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 &lt;=543 54.5 87.5 0.0732 Ratio NES/LYS 0.016 2.175 0.824 &lt;=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 &lt;=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 &lt;=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.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3317-3317
Author(s):  
Moon-Jin Kim ◽  
Jeong-Yeal Ahn ◽  
Pil-Whan Park ◽  
Yiel-Hea Seo ◽  
Kyung-Hee Kim ◽  
...  

Abstract Abstract 3317 Parameters associated with platelets (PLT) other than total PLT count, mean platelet volume (MPV), and platelet distribution width (PDW) are not widely used in clinical fields, although recent researches about them are increasingly reported. Additional platelet parameters can be helpful to evaluate the underlying cause of thrombocytopenia induced by two mechanisms-insufficient production and destruction of platelets. We investigated the significance of platelet parameters by evaluation of patients with ineffective platelet production (acute myeloid leukemia, AML) and destruction of platelets (immune thrombocytopenia, ITP). 49 adults newly diagnosed with AML (median age: 60, range: 21–86 years old) who had thrombocytopenia (<150 ×103/uL) and 47 adults with ITP (median age: 44, range: 22–82 years old) who were diagnosed with the bone marrow (BM) study were retrospectively reviewed. PLT and PLT parameters - MPV, PDW, PLT crit (PCT), mean PLT component (MPC), mean PLT mass (MPM), and large PLT count (LPLT) were measured by the ADVIA 2120 Hematology System (Siemens, USA) at the time of diagnosis. The percentage of LPLT (LPLT%) was calculated (LPLT/PLT ×100). The mean values of each group were compared using independent T-test on SPSS. The sensitivity and the specificity of each item to differentiate AML and ITP were determined by receiver operating characteristic (ROC) curve analysis. The mean values of platelet parameters of 480 male and female Korean adults in different age groups (120 in each group) who had hemoglobin level of 12–16.5 g/dl in female and 13–18.5 g/dl in male, white blood cell count of 4–10 ×103/ul, and PLT of 150–450 ×103/ul are shown in table I. The mean values of MPV, PDW, MPC, MPM, and LPLT% of ITP patients were significantly higher than those of AML (p<0.05). PLT, PCT, and LPLT did not show the difference between AML and ITP patients (Table II). Also, MPV, PDW, MPC, MPM, and LPLT% appeared significant to differentiate two diseases (p<0.05) upon ROC curve analysis (Table III). Table I. Platelet parameters in 480 Korean adults Platelet parameters Mean ¡¾ SD Total Male under 50Y Male over 50Y Female under 50Y Female over 50Y Reference range PLT (×103/¥ìl) 261 ¡¾ 53 257 ¡¾ 52 241 ¡¾ 47 259 ¡¾ 51 280 ¡¾ 59 150–450 MPV (fl) 7.9 ¡¾ 1.0 7.7 ¡¾ 0.7 7.9 ¡¾ 0.7 7.9 ¡¾ 0.7 8.0 ¡¾ 1.8 9–13 PDW (%) 51.3 ¡¾ 7.5 51.6 ¡¾ 7.5 52.1 ¡¾ 7.1 52.2 ¡¾ 5.8 49.0 ¡¾ 9.0 N PCT (%) 0.20 ¡¾ 0.04 0.20 ¡¾ 0.04 0.19 ¡¾ 0.04 0.20 ¡¾ 0.06 0.20 ¡¾ 0.04 N MPC (g/dl) 26.0 ¡¾ 1.3 26.2 ¡¾ 1.4 25.8 ¡¾ 1.3 26.4 ¡¾ 1.0 25.5 ¡¾ 1.5 N MPM (pg) 1.9 ¡¾ 0.2 1.9 ¡¾ 0.2 1.9 ¡¾ 0.2 2.0 ¡¾ 0.2 1.9 ¡¾ 0.2 N LPLT (×103/¥ìl) 4.7 ¡¾ 2.7 4.5 ¡¾ 2.7 4.6 ¡¾ 3.1 4.9 ¡¾ 2.3 4.7 ¡¾ 2.8 N LPLT% (%) 1.7 ¡¾ 0.6 1.8 ¡¾ 1.3 2.0 ¡¾ 1.4 2.0 ¡¾ 1.1 1.8 ¡¾ 1.2 N Abbreviations: SD, Standard deviation; Y, years old; N, Not determined; see text. Table II. Platelet parameters in AML and ITP patients Platelet parameters Disease Mean ¡¾ SD Reference range PLT (×103/¥ìl) AML 59 ¡¾ 35 150-450 ITP 54 ¡¾ 29 MPV* (fl) AML 9.8 ¡¾ 2.1 9–13 ITP 10.9 ¡¾ 2.8 PDW* (%) AML 53.9 ¡¾ 17.0 N ITP 60.6 ¡¾ 12.1 PCT (%) AML 0.06 ¡¾ 0.04 N ITP 0.06 ¡¾ 0.03 MPC* (g/dl) AML 22.3 ¡¾ 2.1 N ITP 25.4 ¡¾ 2.2 MPM* (pg) AML 2.0 ¡¾ 0.3 N ITP 2.4 ¡¾ 0.4 LPLT (×103/¥ìl) AML 3 ¡¾ 5 N ITP 4 ¡¾ 6 LPLT%* (%) AML 4.7 ¡¾ 5.2 N ITP 8.3 ¡¾ 9.4 Abbreviations: See table I; see text. * p<0.05. Table III. AUC for differentiation of AML and ITP with cut-off values ¡¡ AUC (95% CI) Cut-off value Sensitivity (%) Specificity (%) PLT 0.48 (0.36–0.59) 68 ×103/¥ìL 34.0 74.6 MPV* 0.66 (0.55–0.77) 10.2 fL 57.4 78.0 PDW* 0.63 (0.53–0.74) 56.3 % 66.0 69.5 PCT 0.51 (0.40–0.62) 0.07 % 40.4 72.9 MPC* 0.84 (0.78–0.92) 2.1 g/dL 87.2 76.3 MPM* 0.85 (0.75–0.91) 22.5 pg 78.7 76.3 LPLT 0.61 (0.50–0.71) 5.5 ×103/¥ìL 21.3 89.8 LPLT%* 0.67 (0.57–0.77) 4.1 % 72.3 61.0 Abbreviations: AUC, areas under the curves; CI, confidence interval; see text. * : p<0.05. In AML, deficient platelet production in the BM causes thrombocytopenia. Immune mediated destruction in the peripheral blood induces thrombocytopenia in ITP in spite of activated PLT production in BM. MPV, PDW and platelet large cell ratio (P-LCR measured by Sysmex-XE2100) had been reported to reflect production rate (MPV and PDW) and percentage of immature platelets (P-LCR) so that being higher in ITP than aplastic anemia (Kaito et al, 2004). MPV, PDW, MPC, MPM, and LPLT% were higher in ITP than AML in our study. They are also proven to differentiate AML and ITP upon ROC curve analysis. MPV, PDW, and LPLT% can be used as markers to predict the status of thrombopoiesis differentiating two mechanisms of thrombocytopenia, deficiency of production and destruction of platelets. Disclosures: No relevant conflicts of interest to declare.


2017 ◽  
Vol 23 (3) ◽  
pp. 267-273 ◽  
Author(s):  
Baixue Jia ◽  
David S Liebeskind ◽  
Ligang Song ◽  
Xiaotong Xu ◽  
Xuan Sun ◽  
...  

Background The purpose of this study was to determine the performance of computed tomography angiography (CTA) by using a scoring system to predict anterograde and collateral blood flow status in patients with symptomatic middle cerebral artery (MCA) stenosis with use of conventional angiography as standard reference. Methods We retrospectively identified all consecutive patients with unilateral symptomatic MCA stenosis in our center who underwent conventional angiography and CTA within 1 month. The anterograde and collateral blood flow (AnCo) scoring system consisted of anterograde score (AnS) and collateral score (CoS). Evaluation of the CTA images was done independently by two readers, based on the AnCo scoring system. The conventional angiography was assessed by using the Thrombolysis in Cerebral Infarction (TICI) and American Society of Interventional and Therapeutic Neuroradiology (ASITN/SIR) scoring system to determine the status of anterograde and collateral blood flow. Diagnostic performance of AnCo was evaluated by using the area under the receiver operating characteristic (ROC) curve. Results A total of 61 patients were included in the analysis with mean age of 53.4 ± 11.0 years. AnS demonstrated a strong correlation with TICI with statistical significance ( r = 0.786; p < 0.001). CoS had a modest yet statistically significant correlation with ASITN/SIR ( r = 0.574; p < 0.001). The ROC curve analysis for AnS demonstrated an area under the curve (AUC) of 0.894 ( p < 0.001) and the ROC curve analysis for CoS showed an AUC of 0.824 ( p < 0.001). Conclusions CTA was a potential method to evaluate anterograde and collateral blood flow status in patients with symptomatic unilateral MCA stenosis.


2021 ◽  
pp. 028418512110063
Author(s):  
Okan Dilek ◽  
Emin Demirel ◽  
Hüseyin Akkaya ◽  
Mehmet Cenk Belibagli ◽  
Gokhan Soker ◽  
...  

Background Computed tomography (CT) gives an idea about the prognosis in patients with COVID-19 lung infiltration. Purpose To evaluate the success rates of various scoring methods utilized in order to predict survival periods, on the basis of the imaging findings of COVID-19. Another purpose, on the other hand, was to evaluate the agreements among the evaluating radiologists. Material and Methods A total of 100 cases of known COVID-19 pneumonia, of which 50 were deceased and 50 were living, were included in the study. Pre-existing scoring systems, which were the Total Severity Score (TSS), Chest Computed Tomography Severity Score (CT-SS), and Total CT Score, were utilized, together with the Early Decision Severity Score (ED-SS), which was developed by our team, to evaluate the initial lung CT scans of the patients obtained at their initial admission to the hospital. The scans were evaluated retrospectively by two radiologists. Area under the curve (AUC) values were acquired for each scoring system, according to their performances in predicting survival times. Results The mean age of the patients was 61 ± 14.85 years (age range = 18–87 years). There was no difference in co-morbidities between the living and deceased patients. The survival predicted AUC values of ED-SS, CT-SS, TSS, and Total CT Score systems were 0.876, 0.823, 0.753, and 0.744, respectively. Conclusion Algorithms based on lung infiltration patterns of COVID-19 may be utilized for both survival prediction and therapy planning.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
P. López-Jarana ◽  
C. M. Díaz-Castro ◽  
A. Falcão ◽  
C. Falcão ◽  
J. V. Ríos-Santos ◽  
...  

Abstract Background The objective of this study was to measure two parameters involved in tri-dimensional implant planning: the position of the buccal and palatal bone wall and the palatal thickness. Methods Cone beam computed tomography (CBCT) images (Planmeca ProMax 3D) of 403 teeth (208 upper teeth and 195 lower teeth) were obtained from 49 patients referred to the Dental School of Seville from January to December 2014. The height difference between the palatal and buccal walls was measured on the most coronal point of both walls. The thickness of the palatal wall was measured 2 mm from the most coronal point of the palatal wall. Results The mean values in the maxilla were 1.7 ± 0.9 mm for central and lateral incisors, 2.2 ± 1.7 mm for canines, 1.6 ± 0.9 mm for premolars and 1.9 ± 1.5 mm for molars. In the lower jaw, the mean values were 1.3 ± 0.8 mm for incisors, 1.7 ± 1.2 mm for canines, 2.3 ± 1.3 mm for premolars, and 2.6 ± 1.7 mm for molars. In the upper jaw, more than 55% of maxillary teeth (excluding second premolars and molars) presented mean height differences greater than 1 mm. In the mandible, more than 60% of incisors showed a buccal bone thickness of 1 mm from the apical to lingual aspect. All teeth except the second premolar presented a buccal wall located more than 1 mm more apically than the lingual bone wall. Conclusions The buccal bone wall is located more apically (greater than 1 mm) than the palatal or lingual table in most of the cases assessed. The thickness of the palatal or lingual table is also less than 2 mm in the maxilla and mandible, except in the upper canines and premolars and the lower molars.


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