Evaluation of intraventricular hemorrhage assessment methods for predicting outcome following intracerebral hemorrhage

2012 ◽  
Vol 116 (1) ◽  
pp. 185-192 ◽  
Author(s):  
Brian Y. Hwang ◽  
Samuel S. Bruce ◽  
Geoffrey Appelboom ◽  
Matthew A. Piazza ◽  
Amanda M. Carpenter ◽  
...  

Object Intraventricular hemorrhage (IVH) associated with intracerebral hemorrhage (ICH) is an independent predictor of poor outcome. Clinical methods for evaluating IVH, however, are not well established. This study sought to determine the best IVH grading scale by evaluating the predictive accuracies of IVH, Graeb, and LeRoux scores in an independent cohort of ICH patients with IVH. Subacute IVH dynamics as well as the impact of external ventricular drain (EVD) placement on IVH and outcome were also investigated. Methods A consecutive cohort of 142 primary ICH patients with IVH was admitted to Columbia University Medical Center between February 2009 and February 2011. Baseline demographics, clinical presentation, and hospital course were prospectively recorded. Admission CT scans performed within 24 hours of onset were reviewed for ICH location, hematoma volume, and presence of IVH. Intraventricular hemorrhage was categorized according to IVH, Graeb, and LeRoux scores. For each patient, the last scan performed within 6 days of ictus was similarly evaluated. Outcomes at discharge were assessed using the modified Rankin Scale (mRS). Receiver operating characteristic analysis was used to determine the predictive accuracies of the grading scales for poor outcome (mRS score ≥ 3). Results Seventy-three primary ICH patients (51%) had IVH. Median admission IVH, Graeb, and LeRoux scores were 13, 6, and 8, respectively. Median IVH, Graeb and LeRoux scores decreased to 9 (p = 0.005), 4 (p = 0.002), and 4 (p = 0.003), respectively, within 6 days of ictus. Poor outcome was noted in 55 patients (75%). Areas under the receiver operating characteristic curve were similar among the IVH, Graeb, and LeRoux scores (0.745, 0.743, and 0.744, respectively) and within 6 days postictus (0.765, 0.722, 0.723, respectively). Moreover, the IVH, Graeb, and LeRoux scores had similar maximum Youden Indices both at admission (0.515 vs 0.477 vs 0.440, respectively) and within 6 days postictus (0.515 vs 0.339 vs 0.365, respectively). Patients who received EVDs had higher mean IVH volumes (23 ± 26 ml vs 9 ± 11 ml, p = 0.003) and increased incidence of Glasgow Coma Scale scores < 8 (67% vs 38%, p = 0.015) and hydrocephalus (82% vs 50%, p = 0.004) at admission but had similar outcome as those who did not receive an EVD. Conclusions The IVH, Graeb, and LeRoux scores predict outcome well with similarly good accuracy in ICH patients with IVH when assessed at admission and within 6 days after hemorrhage. Therefore, any of one of the scores would be equally useful for assessing IVH severity and risk-stratifying ICH patients with regard to outcome. These results suggest that EVD placement may be beneficial for patients with severe IVH, who have particularly poor prognosis at admission, but a randomized clinical trial is needed to conclusively demonstrate its therapeutic value.

Stroke ◽  
2019 ◽  
Vol 50 (8) ◽  
pp. 2044-2049 ◽  
Author(s):  
Audrey C. Leasure ◽  
Kevin N. Sheth ◽  
Mary Comeau ◽  
Chad Aldridge ◽  
Bradford B. Worrall ◽  
...  

Background and Purpose— Clinical trials in spontaneous intracerebral hemorrhage (ICH) have used volume cutoffs as inclusion criteria to select populations in which the effects of interventions are likely to be the greatest. However, optimal volume cutoffs for predicting poor outcome in deep locations (thalamus versus basal ganglia) are unknown. Methods— We conducted a 2-phase study to determine ICH volume cutoffs for poor outcome (modified Rankin Scale score of 4–6) in the thalamus and basal ganglia. Cutoffs with optimal sensitivity and specificity for poor outcome were identified in the ERICH ([Ethnic/Racial Variations of ICH] study; derivation cohort) using receiver operating characteristic curves. The cutoffs were then validated in the ATACH-2 trial (Antihypertensive Treatment of Acute Cerebral Hemorrhage-2) by comparing the c-statistic of regression models for outcome (including dichotomized volume) in the validation cohort. Results— Of the 3000 patients enrolled in ERICH, 1564 (52%) had deep ICH, of whom 1305 (84%) had complete neuroimaging and outcome data (660 thalamic and 645 basal ganglia hemorrhages). Receiver operating characteristic curve analysis identified 8 mL in thalamic (area under the curve, 0.79; sensitivity, 73%; specificity, 78%) and 18 mL in basal ganglia ICH (area under the curve, 0.79; sensitivity, 70%; specificity, 83%) as optimal cutoffs for predicting poor outcome. The validation cohort included 834 (84%) patients with deep ICH and complete neuroimaging data enrolled in ATACH-2 (353 thalamic and 431 basal ganglia hemorrhages). In thalamic ICH, the c-statistic of the multivariable outcome model including dichotomized ICH volume was 0.80 (95% CI, 0.75–0.85) in the validation cohort. For basal ganglia ICH, the c-statistic was 0.81 (95% CI, 0.76–0.85) in the validation cohort. Conclusions— Optimal hematoma volume cutoffs for predicting poor outcome in deep ICH vary by the specific deep brain nucleus involved. Utilization of location-specific volume cutoffs may improve clinical trial design by targeting deep ICH patients that will obtain maximal benefit from candidate therapies.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S277-S277
Author(s):  
Katherine C Jankousky ◽  
Peter Hyson ◽  
Jin Huang ◽  
Daniel B Chastain ◽  
Carlos Franco-Paredes ◽  
...  

Abstract Background Accurate, rapid, inexpensive biomarkers are needed to differentiate COVID-19 from bacterial pneumonia, allowing effective treatment and antibiotic stewardship. We hypothesized that the ratio of ferritin to procalcitonin (F/P) reflects greater viral activity and host response with COVID-19 pneumonia, while bacterial pneumonia would be associated with less cytolysis (lower ferritin) and more inflammation (higher procalcitonin), thus a lower F/P ratio. Methods We conducted a retrospective study of adult patients admitted to a single University hospital in the US through May 2020, during the COVID-19 pandemic. We compared F/P ratio of patients diagnosed with COVID-19 or bacterial pneumonia, excluding patients with COVID-19 and bacterial co-infections. In a logistic regression, we controlled for age, sex, body mass index (BMI), diabetes (DM), and hypertension (HTN). We used a receiver operating characteristic analysis to calculate the sensitivity and specificity of F/P values for the diagnosis of COVID-19 versus bacterial pneumonia. Results Of 218 patients with COVID-19 and 17 with bacterial pneumonia, COVID-19 patients were younger (56 vs 66 years, p=0.04), male (66% vs 24%, p=0.009), had higher BMI (31 vs 27 kg/m2, p=0.03), and similar rates of HTN (59% vs 45%, p=0.3) and DM (32% vs 18%, p=0.2). The median F/P ratio was significantly higher in patients with COVID-19 (3195 vs 860, p=0.0003, Figure 1). An F/P ratio cut-off of ≥ 1250 generated a sensitivity of 78% and a specificity of 59% to correctly classify a COVID-19 case (Figure 2). When adjusted for age, gender, BMI, DM, and HTN, a ratio ≥ of 1250 was associated with significantly greater odds of COVID-19 versus bacterial pneumonia (OR: 4.9, CI: 1.5, 16.1, p=0.009). Figure 1. Ferritin to Procalcitonin Ratios of patients with COVID-19 and patients with Bacterial Pneumonia (controls). Figure 2. Receiver Operating Characteristic Analysis of Ferritin to Procalcitonin Ratio Cut-off Values Predicting COVID-19 Diagnosis. Conclusion We observed an elevated F/P ratio in patients with COVID-19 compared to those with bacterial pneumonia. A F/P ratio ≥ 1250 provides a clinically relevant increase in pre-test probability of COVID-19. Prospective studies evaluating the discriminatory characteristics of F/P ratio in larger cohorts is warranted. Disclosures All Authors: No reported disclosures


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jing Zhao ◽  
Bernd Hamm ◽  
Winfried Brenner ◽  
Marcus R. Makowski

Abstract Purpose This study aimed to calculate an applicable relative ratio threshold value instead of the absolute threshold value for simultaneous 68Ga prostate-specific membrane antigen/positron emission tomography ([68Ga]Ga-PSMA-11 PET) in patients with prostate cancer (PCa). Materials and methods Our study evaluated thirty-two patients and 170 focal prostate lesions. Lesions are classified into groups according to Prostate Imaging Reporting and Data System (PI-RADS). Standardized uptake values maximum (SUVmax), corresponding lesion-to-background ratios (LBRs) of SUVmax, and LBR distributions of each group were measured based on regions of interest (ROI). We examined LBR with receiver operating characteristic analysis to determine threshold values for differentiation between multiparametric magnetic resonance imaging (mpMRI)-positive and mpMRI-negative lesions. Results We analyzed a total of 170 focal prostate lesions. Lesions number of PI-RADS 2 to 5 was 70, 16, 46, and 38. LBR of SUVmax of each PI-RADS scores was 1.5 (0.9, 2.4), 2.5 (1.6, 3.4), 3.7 (2.6, 4.8), and 6.7 (3.5, 12.7). Based on an optimal threshold ratio of 2.5 to be exceeded, lesions could be classified into MRI-positive lesion on [68Ga]Ga-PSMA PET with a sensitivity of 85.2%, a specificity of 72.0%, with the corresponding area under the receiver operating characteristic curve (AUC) of 0.83, p < 0.001. This value matches the imaging findings better. Conclusion The ratio threshold value of SUVmax, LBR, has improved clinical and research applicability compared with the absolute value of SUVmax. A higher threshold value than the background’s uptake can dovetail the imaging findings on MRI better. It reduces the bias from using absolute background uptake value as the threshold value.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bianca M. Leca ◽  
Maria Mytilinaiou ◽  
Marina Tsoli ◽  
Andreea Epure ◽  
Simon J. B. Aylwin ◽  
...  

AbstractProlactinomas represent the most common type of secretory pituitary neoplasms, with a therapeutic management that varies considerably based on tumour size and degree of hyperprolactinemia. The aim of the current study was to evaluate the relationship between serum prolactin (PRL) concentrations and prolactinoma size, and to determine a cut-off PRL value that could differentiate micro- from macro-prolactinomas. A retrospective cohort study of 114 patients diagnosed with prolactinomas between 2007 and 2017 was conducted. All patients underwent gadolinium enhanced pituitary MRI and receiver operating characteristic (ROC) analyses were performed. 51.8% of patients in this study were men, with a mean age at the time of diagnosis of 42.32 ± 15.04 years. 48.2% of the total cohort were found to have microadenomas. Baseline serum PRL concentrations were strongly correlated to tumour dimension (r = 0.750, p = 0.001). When performing the ROC curve analysis, the area under the curve was 0.976, indicating an excellent accuracy of the diagnostic method. For a value of 204 μg/L (4338 mU/L), sensitivity and specificity were calculated at 0.932 and 0.891, respectively. When a cut off value of 204 μg/L (4338 mU/L) was used, specificity was 93.2%, and sensitivity 89.1%, acceptable to reliably differentiate between micro- and macro- adenomas.


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