The optimal cutoff value for levator‐urethra gap measurements using tomographic ultrasound imaging in avulsion diagnosis is population specific

2020 ◽  
Vol 39 (5) ◽  
pp. 1401-1409 ◽  
Author(s):  
Hila Greenbaum ◽  
Linor Klein ◽  
Meny Alcalay ◽  
Eran Kassif ◽  
Boaz Weisz ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Tomographic Ultrasound Imaging

Association between HbA1C (glycated hemoglobin) and clinical outcomes in patients with subarachnoid hemorrhage after neuro-intervention

2021 ◽  
Vol 18 ◽  
Author(s):  
Chan Woong Park ◽  
Ho Jun Yi ◽  
Dong Hoon Lee ◽  
Jae Hoon Sung
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Clinical Outcome ◽  
Clinical Outcomes ◽  
Glycated Hemoglobin ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Roc Curve Analysis ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Unfavorable Clinical Outcome ◽  
High Hba1c

Objective: Our study investigated the association between level of HbA1c (glycated hemoglobin) at admission and the prognosis of aneurysmal subarachnoid hemorrhage (SAH). Methods: A total of 510 patients treated with neuro-intervention for aneurysmal SAH and with data for admission HbA1c (glycated hemoglobin) were included. Favorable clinical outcome was defined as Modified Rankin Scale (mRS) score of 0–2 at 3 months. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cutoff value of HbA1C for unfavorable clinical outcomes. Logistic regression was used to evaluate the association between HbA1C level and outcomes. Results: The optimal cutoff value of HbA1C was identified as 6.0% (P < 0.001), and patients with a high HbA1C (≥ 6.0%) had a lower prevalence of favorable clinical outcomes than patients with low HbA1C (< 6.0%) (P < 0.001). High HbA1C (≥ 6.0%) was independently associated with unfavorable clinical outcome (OR 2.84; 95% CI: 1.52-5.44; P = 0.004). The risk of unfavorable clinical outcome was significantly increased in patients with HbA1C (≥ 7.0%, < 8%) and HbA1C (≥ 8.0%) compared with lower baseline HbA1C (≥ 6.0%, < 7%) values (OR 2.17; 95% CI: 1.87-5.13; P = 0.011 and OR 4.25; 95% CI: 3.17-8.41; P = 0.005). Conclusions: Our study showed that HbA1C could be an independent predictor of worse outcome following neuro-intervention for aneurysmal SAH. High HbA1C (≥ 6.0%) was associated with unfavorable clinical outcome, and gradual elevation of HbA1C contributed to an increase in the risk of worse clinical outcome after SAH.

scholarly journals D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256744
Author(s):  
Ayusha Poudel ◽  
Yashasa Poudel ◽  
Anurag Adhikari ◽  
Barun Babu Aryal ◽  
Debika Dangol ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Respiratory Illness ◽  
Immunofluorescence Assay ◽  
Cox Proportional Hazards ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Potential Biomarker ◽  
D Dimer

Introduction Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. Methods Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. Results 182 patients were included in the study out of which 34(18.7%) died during the hospital stay. The mean admission D-dimer among surviving patients was 1.067 μg/ml (±1.705 μg/ml), whereas that among patients who died was 3.208 μg/ml (±2.613 μg/ml). ROC curve for D-dimer and mortality gave an area under the curve of 0.807 (95% CI 0.728–0.886, p<0.001). Optimal cutoff value for D-dimer was 1.5 μg/ml (sensitivity 70.6%, specificity 78.4%). On Cox proportional hazards regression analysis, the unadjusted hazard ratio for high D-dimer was 6.809 (95% CI 3.249–14.268, p<0.001), and 5.862 (95% CI 2.751–12.489, p<0.001) when adjusted for age. Conclusion D-dimer value on admission is an accurate biomarker for predicting mortality in patients with COVID-19. 1.5 μg/ml is the optimal cutoff value of admission D-dimer for predicting mortality in COVID-19 patients.

scholarly journals The Optimal Cutoff Value of D-dimer Levels to Predict in Hospital Mortality in Severe Cases of Coronavirus Disease 2019

2021 ◽  
Vol 9 (B) ◽  
pp. 1561-1564
Author(s):  
Ngakan Ketut Wira Suastika ◽  
Ketut Suega
Keyword(s):  
Hospital Mortality ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Operating Characteristic Curve ◽  
D Dimer

Introduction: Coronavirus disease 2019 (Covid-19) can cause coagulation parameters abnormalities such as an increase of D-dimer levels especially in severe cases. The purpose of this study is to determine the differences of D-dimer levels in severe cases of Covid-19 who survived and non-survived and determine the optimal cut-off value of D-dimer levels to predict in-hospital mortality. Method: Data were obtained from confirmed Covid-19 patients who were treated from June to September 2020. The Mann-Whitney U test was used to determine differences of D-dimer levels in surviving and non-surviving patients. The optimal cut-off value and area under the curve (AUC) of the D-dimer level in predicting mortality were obtained by the receiver operating characteristic curve (ROC) method. Results: A total of 80 patients were recruited in this study. Levels of D-dimer were significantly higher in non-surviving patients (median 3.346 mg/ml; minimum – maximum: 0.939 – 50.000 mg/ml) compared to surviving patients (median 1.201 mg/ml; minimum – maximum: 0.302 – 29.425 mg/ml), p = 0.012. D-dimer levels higher than 1.500 mg/ml are the optimal cut-off value for predicting mortality in severe cases of Covid-19 with a sensitivity of 80.0%; specificity of 64.3%; and area under the curve of 0.754 (95% CI 0.586 - 0.921; p = 0.010). Conclusions: D-dimer levels can be used as a predictor of mortality in severe cases of Covid-19.

scholarly journals Comparison between shear wave elastography and serological findings for the evaluation of fibrosis in chronic liver disease

2021 ◽  
Vol 21 (86) ◽  
pp. e186-e193
Author(s):  
Mahjabeen Liaqat ◽  
◽  
Kashif Siddique ◽  
Imran Yousaf ◽  
Raham Bacha ◽  
...  
Keyword(s):  
Liver Disease ◽  
Liver Fibrosis ◽  
Diagnostic Accuracy ◽  
Chronic Liver Disease ◽  
Shear Wave ◽  
Shear Wave Elastography ◽  
Chronic Liver ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Cutoff Values

Aim: In this study, we sought to examine the optimal cutoff values for predicting different stages of liver fibrosis, and to determine the level of agreement between shear wave elastography and aspartate aminotransferase to platelet ratio index (APRI) and fibrosis-4 index (FIB-4) scores in patients with chronic liver disease. Methodology: A descriptive, cross-sectional study was performed at the Radiology Department of Shaukat Khanum Memorial Hospital Lahore from 1 Jun 2019 until 1 June 2020. FIB-4 and APRI scores were determined by the following formula: FIB-4 = (age × AST) ÷ (platelet count × (√ (ALT)) and APRI = (AST÷AST upper limit of normal) ÷ platelet × 100. Data was analyzed with the help of SPSS version 24.0 and Microsoft Excel 2013. Results: Eighty individuals were conveniently selected, of which 62.5% were men and 37.5% were women. The mean age of the subjects was 43.47 SD ± 13.85 years. APRI and FIB-4 scores predicted F4 patients using the cutoff values of 0.47 (Sn. 72%, Sp. 70%) and 1.27 (Sn. 78%, Sp. 73%), respectively. The cutoff values of 0.46 for APRI and 1.27 for FIB-4 predicted F3–F4 patients (Sn. 74% and 77%; Sp. 76% and 76%), respectively. To predict F1–F4 compared to F0, the cutoff value was 0.34 (Sn. 68%, Sp. 75%) for APRI, while the cutoff value for FIB was 0.87 (Sn. 72%, Sp. 75%). The findings suggest that FIB-4 shows better diagnostic accuracy than APRI. Conclusion: This study provides optimal cutoff values for different groups of fibrosis patients for both serum markers. Also, the diagnostic accuracy of FIB-4 for predicting liver fibrosis was found to be superior to APRI in all disease stages.

scholarly journals Multicenter Study of Controlling Nutritional Status (CONUT) Score as a Prognostic Factor in Patients With HIV-Related Renal Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenrui Xue ◽  
Yu Zhang ◽  
Hua Wang ◽  
Yu Zhang ◽  
Xiaopeng Hu
Keyword(s):  
Renal Cell Carcinoma ◽  
Nutritional Status ◽  
T Lymphocyte ◽  
Independent Predictor ◽  
Tumor Grade ◽  
Optimal Cutoff ◽  
Fuhrman Grade ◽  
Cutoff Value ◽  
Urological Neoplasms ◽  
Conut Score

ObjectiveIn recent years, the controlled nutritional status (CONUT) score has been widely recognized as a new indicator for assessing survival in patients with urological neoplasms, including renal, ureteral, and bladder cancer. However, the CONUT score has not been analyzed in patients with HIV-related urological neoplasms. Therefore, we aimed to evaluate the prognostic significance of the CONUT score in patients with HIV-related renal cell carcinoma (RCC).MethodsA total of 106 patients with HIV-related RCC were recruited from four hospitals between 2012 and 2021, and all included patients received radical nephrectomy or partial nephrectomy. The CONUT score was calculated by serum albumin, total lymphocyte counts, and total cholesterol concentrations. Patients with RCC were divided into two groups according to the optimal cutoff value of the CONUT score. Survival analysis of different CONUT groups was performed by the Kaplan–Meier method and a log rank test. A Cox proportional risk model was used to test for correlations between clinical variables and cancer-specific survival (CSS), overall survival (OS), and disease-free survival (DFS). Clinical variables included age, sex, hypertension, diabetes, tumor grade, Fuhrman grade, histology, surgery, and CD4+ T lymphocyte count.ResultThe median age was 51 years, with 93 males and 13 females. At a median follow-up of 41 months, 25 patients (23.6%) had died or had tumor recurrence and metastasis. The optimal cutoff value for the CONUT score was 3, and a lower CONUT score was associated with the Fuhrman grade (P=0.024). Patients with lower CONUT scores had better CSS (HR 0.197, 95% CI 0.077-0.502, P=0.001), OS (HR 0.177, 95% CI 0.070-0.446, P&lt;0.001) and DFS (HR 0.176, 95% CI 0.070-0.444, P&lt;0.001). Multivariate Cox regression analysis indicated that a low CONUT score was an independent predictor of CSS, OS and DFS (CSS: HR=0.225, 95% CI 0.067-0.749, P=0.015; OS: HR=0.201, 95% CI 0.061-0.661, P=0.008; DFS: HR=0.227, 95% CI 0.078-0.664, P=0.007). In addition, a low Fuhrman grade was an independent predictor of CSS (HR 0.192, 95% CI 0.045-0.810, P=0.025), OS (HR 0.203, 95% CI 0.049-0.842, P=0.028), and DFS (HR 0.180, 95% CI 0.048-0.669, P=0.010), while other factors, such as age, sex, hypertension, diabetes, tumor grade, histology, surgery, and CD4+ T lymphocyte count, were not associated with survival outcome.ConclusionThe CONUT score, an easily measurable immune-nutritional biomarker, may provide useful prognostic information in HIV-related RCC.

scholarly journals OP28.09: The levator-urethral gap measurement: tomographic ultrasound imaging (TUI) versus Omniview-volume contrast imaging (VCI)

2017 ◽  
Vol 50 ◽  
pp. 141-141
Author(s):  
L. Cariello ◽  
E. Montaguti ◽  
I. Cataneo ◽  
G. Dodaro ◽  
E. Margarito ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Contrast Imaging ◽  
Gap Measurement ◽  
Tomographic Ultrasound Imaging
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