High Negative Likelihood Ratio Research Articles

The Prevalence of Spondylolysis and the Diagnostic Sensitivity of Radiography in Adolescent Low Back Pain

ABSTRACT Introduction The aims of this retrospective chart review were to determine the prevalence of radiographically positive spondylolysis based on the historical “gold standard” of single photon emission computed tomography (SPECT) and to evaluate the sensitivity of radiographs in detecting spondylolysis relative to SPECT scans in adolescent athletes presenting with low back pain (LBP). Our secondary outcome measure included an assessment of the variable prevalence of spondylolysis in different athletic subpopulations. Methods Radiographs and SPECT scans for patients with LBP were reviewed for the presence of spondylolysis. The sensitivity and specificity of two-view and four-view radiographs compared to SPECT scans were calculated, and the associations between diagnosis of spondylolysis and age, gender, and sport were determined. Results Nine hundred ninety-nine adolescent patients presented with LBP; 405 SPECT scans were performed. Of those, 141 (35%) SPECT scans were positive for spondylolysis. The prevalence rate for spondylolysis in this population who presented with LBP was 14%. Compared to SPECT scans, two-view radiographs were more specific (92.93%) and had a higher negative likelihood ratio (0.81) for spondylolysis than four-view radiographs. Boys were more likely to have a positive SPECT scan compared to girls (adjusted odds ratio, 6.07; 95% confidence interval, 3.00–12.26). Younger age was significantly associated with a spondylolysis diagnosis (adjusted odds ratio, 1.24; 95% confidence interval, 1.09–1.41). Lacrosse, soccer, softball, and volleyball athletes had a significantly lower risk of spondylolysis diagnosis compared to football and gymnastics athletes. Conclusions This research contributes to data regarding the prevalence of spondylolysis in symptomatic, adolescent athletes. Two-view radiographs were more useful screening tests for spondylolysis than four-view radiographs. Younger athletes, boys, and those who participate in certain sports were more likely to have evidence of spondylolysis on SPECT scans.

Nonspecific stress biomarkers for mortality prediction in older emergency department patients presenting with falls: a prospective multicenter observational study.

Older patients presenting to the emergency department (ED) after falling are increasingly prevalent. Falls are associated with functional decline and death. Biomarkers predicting short-term mortality might facilitate decisions regarding resource allocation and disposition. D-dimer levels are used to rule out thromboembolic disease, while copeptin and adrenomedullin (MR-proADM) may be used as measures of the patient`s stress level. These nonspecific biomarkers were selected as potential predictors for mortality. Prospective, international, multicenter, cross-sectional observation was performed in two tertiary and two regional hospitals in Germany and Switzerland. Patients aged 65years or older presenting to the ED after a fall were enrolled. Demographic data, Activities of Daily Living (ADL), and D-dimers were collected upon presentation. Copeptin and MR-proADM levels were determined from frozen samples. Primary outcome was 30-day mortality; and secondary outcomes were mortality at 90, 180, and 365days. Five hundred and seventy-two patients were included. Median age was 83 [IQR 78, 89] years, 236 (67.7%) were female. Mortality overall was 3.1% (30d), 5.4% (90d), 7.5% (180d), and 13.8% (365d), respectively. Non-survivors were older, had a lower ADL index and higher levels of all three biomarkers. Elevated levels of MR-proADM and D-dimer were associated with higher risk of mortality. MR-proADM and D-dimer showed high sensitivity and low negative likelihood ratio regarding short-term mortality, whereas copeptin did not. D-dimer and MR-proADM levels might be useful as prognostic markers in older patients presenting to the ED after a fall, by identifying patients at low risk of short-term mortality. ClinicalTrials.gov Identifier: NCT02244983.

ICP wave morphology as a screening test to exclude intracranial hypertension in brain-injured patients: a non-invasive perspective.

Intracranial hypertension (IH) is a life-threating condition especially for the brain injured patient. In such cases, an external ventricular drain (EVD) or an intraparenchymal bolt are the conventional gold standard for intracranial pressure (ICPi) monitoring. However, these techniques have several limitations. Therefore, identifying an ideal screening method for IH is important to avoid the unnecessary placement of ICPi and expedite its introduction in patients who require it. A potential screening tool is the ICP wave morphology (ICPW) which changes according to the intracranial volume-pressure curve. Specifically, the P2/P1 ratio of the ICPW has shown promise as a triage test to indicate normal ICP. In this study, we propose evaluating the noninvasive ICPW (nICPW-B4C sensor) as a screening method for ICPi monitoring in patients with moderate to high probability of IH. This is a retrospective analysis of a prospective, multicenter study that recruited adult patients requiring ICPi monitoring from both Federal University of São Paulo and University of São Paulo Medical School Hospitals. ICPi values and the nICPW parameters were obtained from both the invasive and the noninvasive methods simultaneously 5 min after the closure of the EVD drainage. ICP assessment was performed using a catheter inserted into the ventricle and connected to a pressure transducer and a drainage system. The B4C sensor was positioned on the patient's scalp without the need for trichotomy, surgical incision or trepanation, and the morphology of the ICP waves acquired through a strain sensor that can detect and monitor skull bone deformations caused by changes in ICP. All patients were monitored using this noninvasive system for at least 10min per session. The area under the curve (AUC) was used to describe discriminatory power of the P2/P1 ratio for IH, with emphasis in the Negative Predictive value (NPV), based on the Youden index, and the negative likelihood ratio [LR-]. Recruitment occurred from August 2017 to March 2020. A total of 69 patients fulfilled inclusion and exclusion criteria in the two centers and a total of 111 monitorizations were performed. The mean P2/P1 ratio value in the sample was 1.12. The mean P2/P1 value in the no IH population was 1.01 meanwhile in the IH population was 1.32 (p < 0.01). The best Youden index for the mean P2/P1 ratio was with a cut-off value of 1.13 showing a sensitivity of 93%, specificity of 60%, and a NPV of 97%, as well as an AUC of 0.83 to predict IH. With the 1.13 cut-off value for P2/P1 ratio, the LR- for IH was 0.11, corresponding to a strong performance in ruling out the condition (IH), with an approximate 45% reduction in condition probability after a negative test (ICPW). To conclude, the P2/P1 ratio of the noninvasive ICP waveform showed in this study a high Negative Predictive Value and Likelihood Ratio in different acute neurological conditions to rule out IH. As a result, this parameter may be beneficial in situations where invasive methods are not feasible or unavailable and to screen high-risk patients for potential invasive ICP monitoring.Trial registration: At clinicaltrials.gov under numbers NCT05121155 (Registered 16 November 2021-retrospectively registered) and NCT03144219 (Registered 30 September 2022-retrospectively registered).

The role of ischemia-modified albumin, presepsin, delta neutrophil index, and inflammatory markers in diagnosing acute cholecystitis.

The purpose of this study is to determine the significance of markers such as C-reactive protein, procalcitonin, complete blood count parameters, delta neutrophil index, ischemia-modified albumin, presepsin, and oxidative stress indicators, which are associated with inflammation, oxidative stress, and ischemia in the pathology and diagnosis of acute cholecystitis in adults. Patients diagnosed with acute cholecystitis in the emergency department and healthy individuals in the control group were included in the study. Routine blood count and biochemistry analyses were performed on the participants. Blood serum was used to measure ischemia-modified albumin, presepsin, and oxidative stress indicators. White blood cell count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, delta neutrophil index, C-reactive protein, procalcitonin, ischemia-modified albumin, ischemia-modified albumin to albumin ratio, presepsin, and oxidative stress indicators were significantly higher in patients with cholecystitis compared to the control group. Measurements of white blood cell count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and delta neutrophil index can be included as part of the complete blood count. The complete blood count parameters are readily available and do not incur additional costs to the healthcare system. The authors believe that the neutrophil-to-lymphocyte ratio, delta neutrophil index, ischemia-modified albumin, ischemia-modified albumin to albumin ratio, and presepsin values can be used as new markers in the diagnosis of acute cholecystitis due to their high sensitivity, specificity, and low negative likelihood ratio.

Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi-center study.

Objective:This study assesses the concordance in migraine diagnosis between an online, self-administered, Computer-based, Diagnostic Engine (CDE) and semi-structured interview (SSI) by a headache specialist, both using International Classification of Headache Disorders, 3rd edition (ICHD-3) criteria.Background:Delay in accurate diagnosis is a major barrier to headache care. Accurate computer-based algorithms may help reduce the need for SSI-based encounters to arrive at correct ICHD-3 diagnosis.Methods:Between March 2018 and August 2019, adult participants were recruited from three academic headache centers and the community via advertising to our cross-sectional study. Participants completed two evaluations: phone interview conducted by headache specialists using the SSI and a web-based expert questionnaire and analytics, CDE. Participants were randomly assigned to either the SSI followed by the web-based questionnaire or the web-based questionnaire followed by the SSI. Participants completed protocols a few minutes apart. The concordance in migraine/probable migraine (M/PM) diagnosis between SSI and CDE was measured using Cohen’s kappa statistics. The diagnostic accuracy of CDE was assessed using the SSI as reference standard.Results:Of the 276 participants consented, 212 completed both SSI and CDE (study completion rate = 77%; median age = 32 years [interquartile range: 28–40], female:male ratio = 3:1). Concordance in M/PM diagnosis between SSI and CDE was: κ = 0.83 (95% confidence interval [CI]: 0.75–0.91). CDE diagnostic accuracy: sensitivity = 90.1% (118/131), 95% CI: 83.6%–94.6%; specificity = 95.8% (68/71), 95% CI: 88.1%–99.1%. Positive and negative predictive values = 97.0% (95% CI: 91.3%–99.0%) and 86.6% (95% CI: 79.3%–91.5%), respectively, using identified migraine prevalence of 60%. Assuming a general migraine population prevalence of 10%, positive and negative predictive values were 70.3% (95% CI: 43.9%–87.8%) and 98.9% (95% CI: 98.1%–99.3%), respectively.Conclusion:The SSI and CDE have excellent concordance in diagnosing M/PM. Positive CDE helps rule in M/PM, through high specificity and positive likelihood ratio. A negative CDE helps rule out M/PM through high sensitivity and low negative likelihood ratio. CDE that mimics SSI logic is a valid tool for migraine diagnosis.

The diagnostic value of glycosylated hemoglobin for gestational diabetes mellitus in Asian populations: A systematic review and meta-analysis.

To investigate the role of glycosylated hemoglobin in assisting the oral glucose tolerance test for gestational diabetes mellitus (GDM) diagnosis in Asian populations. PubMed, Embase, Web of Science, and the Cochrane Library were searched from inception to December 2020. Review Manager was applied to assess the quality of studies and risk of bias. MetaDiSc was used to measure diagnostic odds ratio, sensitivity, specificity, positive and negative likelihood ratios, area under receiving operating characteristic curve, and heterogeneity. A total of 19 original studies (32 669 women) were retrieved. The diagnostic efficiency of glycosylated hemoglobin was quantified from 4.5% to 6.0%. The pooled sensitivity (0.624, 0.609-0.638) and specificity and (0.624, 0.617-0.631) achieved optimal equilibrium at 5.0%. High sensitivity (0.911, 0.902-0.920) and low negative likelihood ratio (0.431, 0.365-0.508) at 4.6% as the rule-out cut-off, while with limited sensitivity, high specificity (0.990, 0.986-0.993) and positive likelihood ratio (8.309, 4.251-16.242) occurred at 5.8% as the rule-in cut-off. Heterogeneity was detected in parts of subgroup analyses (I2 > 50%). The diagnostic odds ratio and 95% confidence interval performance were better in the population with risk factors (6.314, 3.543-11.254) than those without (4.178, 2.332-7.488). Glycosylated hemoglobin is a potential tool in assisting GDM diagnosis in Asian populations, which has a better applicability based on the rule-out and rule-in algorithm (4.6%-5.8%), particularly for pregnant women with risk factors.

Cirrhosis of Wilson's disease: High and low cutoff using acoustic radiation force impulse (ARFI) -Comparison and combination with serum fibrosis index.

Acoustic Radiation Force Impulse (ARFI), Fibrosis-4(FIB-4) and Aspartate transaminase to platelet ratio index (APRI) are valuable non-invasive methods to evaluate fibrosis in hepatitis virus. Yet, they are rarely used in Wilson's disease. Evaluate the diagnostic efficacy of ARFI, FIB-4, APRI, combined detection in cirrhosis with WD, and speculate the optimal high, low cutoff. This retrospective study was authorized by hospital ethics Committee (number:2021MCZQ02). 102 patients with WD completed ARFI and laboratory examination on the same day. The intraclass correlation coeffcient (ICC) of ARFI among three sonographers was 0.896 (95%CI:0.859-0.925, p = 0.000). The stage of liver involvement was classified into 5 categories according to clinical manifestations, laboratory examination, and liver morphologic characteristics: I, normal; II, biochemical abnormal only; III, abnormal liver morphologic features without sighs of cirrhosis; IV, clinical and imaging sighs of compensateded cirrhosis (Child-Pugh A); V, decompensated cirrhosis (Child-Pugh B and C). This stage system served as the reference standard. The diagnostic efficacy was analyzed by Logistic regression, ROC curve. The optimal low cut-off with high sensitivity (SE) and low negative likelihood ratio (NLR) and high cut-off with high specificity (SP) and positive likelihood ratio (PLR) were derived. The diagnostic value of ARFI (0.85, 95%CI:0.77-0.92, p = 0.000) in distiguishing cirrhosis with WD was higher than FIB-4 (0.59, 95%CI: 0.47-0.70, p = 0.127), APRI (0.70, 95%CI: 0.59-0.81, p = 0.000). The low, high cut-off of ARFI for excluding, diagnosing cirrhosis with WD was 1.47 m/s(SE: 98%, NLR:0.09), 2.11 m/s(SP:98%, PLR:27.4), 37 (36%) patients could be spared a liver biopsy. When ARFI was 1.47∼2.11 m/s, liver biopsy was recommended. After combined with ARFI, the AUROC of FIB-4, APRI were increased respectively (p < 0.001), there were not different between ARFI and combined detection(p > 0.05). ARFI could replace some unnecessary liver biopsy according to high diagnostic efficacy for identifying cirrhosis of WD. The combined detection can also be used as an important model to predict cirrhosis in WD.

The Use of Postnatal Weight Gain Algorithms to Predict Severe or Type 1 Retinopathy of Prematurity

The currently recommended method for screening for retinopathy of prematurity (ROP) is binocular indirect ophthalmoscopy, which requires frequent eye examinations entailing a heavy clinical workload. Weight gain-based algorithms have the potential to minimize the need for binocular indirect ophthalmoscopy and have been evaluated in different setups with variable results to predict type 1 or severe ROP. To synthesize evidence regarding the ability of postnatal weight gain-based algorithms to predict type 1 or severe ROP. PubMed, MEDLINE, Embase, and the Cochrane Library databases were searched to identify studies published between January 2000 and August 2021. Prospective and retrospective studies evaluating the ability of these algorithms to predict type 1 or severe ROP were included. Two reviewers independently extracted data. This meta-analysis was performed according to the Cochrane guidelines and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines. Ability of algorithms to predict type 1 or sever ROP was measured using statistical indices (pooled sensitivity, specificity, and summary area under the receiver operating characteristic curves, as well as pooled negative likelihood ratios and positive likelihood ratios and diagnostic odds ratios). A total of 61 studies (>37 000 infants) were included in the meta-analysis. The pooled estimates for sensitivity and specificity, respectively, were 0.89 (95% CI, 0.85-0.92) and 0.57 (95% CI, 0.51-0.63) for WINROP (Weight, IGF-1 [insulinlike growth factor 1], Neonatal, ROP), 1.00 (95% CI, 0.88-1.00) and 0.60 (95% CI, 0.15-0.93) for G-ROP (Postnatal Growth and ROP), 0.95 (95% CI, 0.71-0.99) and 0.52 (95% CI, 0.36-0.68) for CHOP ROP (Children's Hospital of Philadelphia ROP), 0.99 (95% CI, 0.73-1.00) and 0.49 (95% CI, 0.03-0.74) for ROPScore, 0.98 (95% CI, 0.94-0.99) and 0.35 (95% CI, 0.22-0.51) for CO-ROP (Colorado ROP). The original PINT (Premature Infants in Need of Transfusion) ROP study reported a sensitivity of 0.98 (95% CI, 0.91-0.99) and a specificity of 0.36 (95% CI, 0.30-0.42). The pooled negative likelihood ratios were 0.19 (95% CI, 0.13-0.27) for WINROP, 0.0 (95% CI, 0.00-0.32) for G-ROP, 0.10 (95% CI, 0.02-0.53) for CHOP ROP, 0.03 (95% CI, 0.00-0.77) for ROPScore, and 0.07 (95% CI, 0.03-0.16) for CO-ROP. The pooled positive likelihood ratios were 2.1 (95% CI, 1.8-2.4) for WINROP, 2.5 (95% CI, 0.7-9.1) for G-ROP, 2.0 (95% CI, 1.5-2.6) for CHOP ROP, 1.9 (95% CI, 1.1-3.3) for ROPScore, and 1.5 (95% CI, 1.2-1.9) for CO-ROP. This study suggests that weight gain-based algorithms have adequate sensitivity and negative likelihood ratios to provide reasonable certainty in ruling out type 1 ROP or severe ROP. Given the implications of missing even a single case of severe ROP, algorithms with very high sensitivity (close to 100%) and low negative likelihood ratios (close to zero) need to be chosen to safely reduce the number of unnecessary examinations in infants at lower risk of severe ROP.

Diagnostic accuracy of brain stem auditory evoked response in distinguishing drug-induced parkinsonism from Parkinson'sdisease

ObjectivesBrainstem auditory evoked response (BAER) is a non-invasive modality that can be used to investigate brainstem neuronal function in movement disorders. The differentiation between drug-induced parkinsonism (DIP) and Parkinson's disease (PD) can be very challenging. Although PD and DIP to some extent display similar clinical symptoms, the underlying pathophysiologic mechanisms are entirely different. Given these differences in pathogenesis, and the diagnostic utility of BAER for detecting brainstem function, BAER may help to distinguish between PD and DIP. This study aimed to assess the accuracy and predictive values of BAER parameters in differentiating DIP from PD. MethodsWe prospectively studied143 participants classified within three groups, including 50 controls, 57 PD, and 36 DIP. BAER was performed on all patients in the study. Patients in the DIP group were followed up for at least one year after discontinuation of the causative drug and examined for final diagnosis. We compared BAER latencies of the three groups and measured sensitivity, specificity, predictive values, likelihood ratios, and accuracy of BAER in diagnosing DIP. ResultWaves V, I-V, and III-V latencies were significantly prolonged among the PD patients compared to the DIP and the control group; however, there were no significant differences in BAER latencies between the DIP and the control group. Waves V and I-V latencies revealed the highest accuracy (86% and 79%, respectively) in distinguishing DIP from PD with high negative predictive value(89% and 83%, respectively) as well as a high negative likelihood ratio (0.2and 0.3, respectively). ConclusionThis study showed that waves V and I-V latencies are significantly prolonged in PD patients compared to those with DIP, consistent with the proposed mechanisms of neurodegeneration in PD, particularly in the midbrain and pons. Consequently, BAER could be used as a useful diagnostic tool for differentiating DIP from PD.

Validation of preimplantation genetic tests for aneuploidy (PGT-A) with DNA from spent culture media (SCM): concordance assessment and implication

BackgroundSpent culture medium (SCM) as a source of DNA for preimplantation genetic tests aneuploidy (PGT-A) has been widely discussed.MethodsSeventy-five blastocysts that were donated for research provided a unique possibility in which multiple specimens, including trophectoderm (TE) biopsy, SCM, and paired corresponding whole blastocyst (WB) specimens from the same blastocyst source, could be utilized for the purpose of this preclinical validation.ResultsTo conduct a validation ploidy concordance assessment, we evaluated the full chromosomal concordance rates between SCM and WB (SCM-to-WB), and between TE and WB (TE-to-WB) as well as sensitivity, specificity and overall diagnostic accuracy. 78.67% (59/75) of NGS results in the SCM group were interpretable, a significantly lower percentage than their corresponding TE and WB groups. This discrepancy manifests itself in intrinsically low quantity and poor integrity DNA from SCM. Subsequently, remarkable differences in full concordance rates (including mosaicism, and segmental aneuploidies) are seen as follows: 32.2% (SCM-to-WB, 19/59) and 69.33% (TE-to-WB, 52/75), (p < 0.001). In such cases, full concordance rates were 27.27% (15/55) in SCM-to-WB, and, 76% (57/75) in TE-to-WB (p < 0.001). Collectively, the NGS data from SCM also translated into lower sensitivities, Positive Predictive Value (PPV), Negative Predictive Value (NPV), overall diagnostic accuracies, and higher Negative Likelihood Ratio (NLR).ConclusionsOur study reveals that DNA is detectable in the majority of SCM samples. Individual chromosomal aberration, such as segmental aneuploidy and mosaicism, can be quantitatively and qualitatively measured. However, TE still provides a more accurate and reliable high-throughput methodology for PGT-A. Meanwhile, cell-free DNA in SCM reporting lacks uniform diagnostic interpretations. Considering that this test is meant to determine which embryos are relegated to be discarded, PGT-A with cell-free DNA in SCM should not be permitted to be applied in routine clinical settings for diagnosis purpose.

Multivariable risk scores for predicting short-term outcomes for emergency department patients with unexplained syncope: A systematic review.

Emergency department (ED) patients with unexplained syncope are at risk of experiencing an adverse event within 30days. Our objective was to systematically review the accuracy of multivariate risk stratification scores for identifying adult syncope patients at high and low risk of an adverse event over the next 30days. We conducted a systematic review of electronic databases (MEDLINE, Cochrane, Embase, and CINAHL) from database creation until May 2020. We sought studies evaluating prediction scores of adults presenting to an ED with syncope. We included studies that followed patients for up to 30days to identify adverse events such as death, myocardial infarction, stroke, or cardiac surgery. We only included studies with a blinded comparison between baseline clinical features and adverse events. We calculated likelihood ratios and confidence intervals (CIs). We screened 13,788 abstracts. We included 17 studies evaluating nine risk stratification scores on 24,234 patient visits, where 7.5% (95% CI= 5.3% to 10%) experienced an adverse event. A Canadian Syncope Risk Score (CSRS) of 4 or more was associated with a high likelihood of an adverse event (LRscore≥4 = 11, 95% CI= 8.9 to 14). A CSRS of 0 or less (LRscore≤0 = 0.10, 95% CI= 0.07 to 0.20) was associated with a low likelihood of an adverse event. Other risk scores were not validated on an independent sample, had low positive likelihood ratios for identifying patients at high risk, or had high negative likelihood ratios for identifying patients at low risk. Many risk stratification scores are not validated or not sufficiently accurate for clinical use. The CSRS is an accurate validated prediction score for ED patients with unexplained syncope. Its impact on clinical decision making, admission rates, cost, or outcomes of care is not known.

Cross‐cultural adaptation of the Cumberland Ankle Instability Tool – Youth Thai version

This study aimed to translate the original version of the Cumberland Ankle Instability Tool (CAITY) into a Thai version by using cross-cultural adaptation, and to examine the psychometric properties and cut-off score of the CAITY - Thai version (CAITY-T). Six cross-cultural adaptation steps were used to translate and validate the psychometric properties with 267 participants, 140 with chronic ankle instability (CAI) and 127 without CAI. Their mean age was 12.3 ± 2.42years. Validation was carried out for internal consistency and concurrent validity against a visual analog scale for global perceived ankle instability, and for discriminant validity (receiver operating characteristic curve). The CAITY-T was completed twice by 133 volunteer children (49.62%) for test-retest reliability. The cut-off score was determined using Youden's index. The CAITY was successfully adapted for the Thai language. Validation showed good internal consistency (Cronbach's α = 0.767) and concurrent validity (Pearson correlation coefficient = 0.8 right ankle and 0.784 left ankle). The test-retest reliability was substantial with an intraclass correlation coefficient (2,1) of 0.865 (95% Confidence Interval = 0.809-0.904). The receiver operating characteristic curve and Youden's index showed the cut-off score that discriminated between children with and without CAI on the CAITY-T at ≤25. The CAITY-T obtained 95.2% sensitivity, 97% specificity, 0.05 negative, and 32 positive likelihood ratios. The CAITY-T was valid and available for Thai children aged 8-16years. It displayed positive reliability, good validity, and an acceptable cut-off score. The cut-off score for children had high sensitivity, specificity, and positive and negative likelihood ratios.

Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography

IntroductionComputed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and risk stratification of the disease. MethodsA novel deep learning derived machine learning (ML) classifier was developed using a simplified programming approach and an open source dataset consisting of 6868 chest CT images from 418 patients which was split into training and validation subsets. The diagnostic performance was then evaluated and compared to experienced radiologists on an independent testing dataset. Diagnostic performance metrics were calculated using Receiver Operating Characteristics (ROC) analysis. Operating points with high positive (>10) and low negative (<0.01) likelihood ratios to stratify the risk of COVID-19 being present were identified and validated. ResultsThe model achieved an overall accuracy of 0.956 (AUC) on an independent testing dataset of 90 patients. Both rule-in and rule out thresholds were identified and tested. At the rule-in operating point, sensitivity and specificity were 84.4 % and 93.3 % and did not differ from both radiologists (p > 0.05). At the rule-out threshold, sensitivity (100 %) and specificity (60 %) differed significantly from the radiologists (p < 0.05). Likelihood ratios and a Fagan nomogram provide prevalence independent test performance estimates. ConclusionAccurate diagnosis of COVID-19 using a basic deep learning approach is feasible using open-source CT image data. In addition, the machine learning classifier provided validated rule-in and rule-out criteria could be used to stratify the risk of COVID-19 being present.

Clinical factors before or after device implantation in predicting metal hypersensitivity reactions: A retrospective study.

Metal hypersensitivity reactions (MHR) as a cause of implant-related complications are highly debated and recommendations regarding pre-procedural allergy evaluation vary dramatically. To examine patients referred before or after device implantation and identify factors that could be useful to guide the value of patch testing. Patients who underwent patch testing pre- or post-device implantation between July 2006 and September 2016 were analyzed retrospectively. A series of 127 patients underwent patch testing: pre-implantation (n = 40) and post-implantation (n = 87). In the pre-implant group, a history of metal allergy demonstrated high sensitivity (0.94; 95% CI: 0.83-1.00) and negative likelihood ratio (0.17; 95% CI:0.02-1.29) for diagnosing MHR. No predictive value could be ascribed to any of the clinical symptoms (eg dermatitis, pain, swelling, implant failure, and/or other symptoms) for patients referred following orthopaedic and dental post device implantation. Eight patients in the orthopaedic group and six patients in dental group with relevant patch test reactions underwent implant revisions, and seven and five patients improved, respectively. Pre-implant patch testing for selected individuals with a history of metal allergy can help guide implant choice. Post-implant patch testing may be helpful in some patients if other causes have been excluded, as patients with confirmed MHR benefited from revisions.

Predictive value of discharge destination for 90-day outcomes among ischemic stroke patients eligible for endovascular treatment: Post-hoc analysis of DEFUSE 3

BackgroundThe endovascular treatment (ET) for acute ischemic stroke (AIS) is increasing among eligible patients. To help address care quality, administrative data sets are utilized but do not usually include formal outcome scales. We explore the predictive ability of discharge destination from acute hospitalizations for long-term disability among AIS patients eligible for ET within a clinical trial. MethodsWe analyzed publicly available data from the DEFUSE 3 (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke) trial. We evaluated patients who survived beyond the time of discharge from their acute hospitalizations. We calculated positive and negative predictive values and accompanying likelihood ratios for patients discharged to home, inpatient rehabilitation facility (IRF), or subacute nursing facility (SNF) for unfavorable outcome as defined by modified Rankin Scale (mRS) scores ≥3 at 90-days. ResultsOur final analysis included 127 patients (median age 67 [23–89] years, 51.2% men). There were 23.6% patients discharged home, 53.5% to IRF, and 22.8% to SNF. Approximately 61% of patients had 90-day post-stroke mRS scores ≥3. Patients discharged to SNF had the highest positive predictive value (93.1%) and positive likelihood ratio (8.77 [CI 95% 2.18–35.25]) for unfavorable outcome. Discharge to home had the highest negative likelihood ratio (2.09 [CI 95% 1.54–2.83]) for unfavorable outcome. ConclusionsAmong AIS patients eligible for ET within the DEFUSE 3 trial, discharge destination can provide high predictive value of 90-day functional outcomes. A discharge to SNF is highly predictive of long-term unfavorable outcomes.

Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph

To develop a deep learning algorithm that can rule out significant rotator cuff tear based on conventional shoulder radiographs in patients suspected of rotator cuff tear. The algorithm was developed using 6793 shoulder radiograph series performed between January 2015 and June 2018, which were labeled based on ultrasound or MRI conducted within 90days, and clinical information (age, sex, dominant side, history of trauma, degree of pain). The output was the probability of significant rotator cuff tear (supraspinatus/infraspinatus complex tear with > 50% of tendon thickness). An operating point corresponding to sensitivity of 98% was set to achieve high negative predictive value (NPV) and low negative likelihood ratio (LR-). The performance of the algorithm was tested with 1095 radiograph series performed between July and December 2018. Subgroup analysis using Fisher's exact test was performed to identify factors (clinical information, radiography vendor, advanced imaging modality) associated with negative test results and NPV. Sensitivity, NPV, and LR- were 97.3%, 96.6%, and 0.06, respectively. The deep learning algorithm could rule out significant rotator cuff tear in about 30% of patients suspected of rotator cuff tear. The subgroup analysis showed that age < 60years (p< 0.001), non-dominant side (p<0.001), absence of trauma history (p=0.001), and ultrasound examination (p<0.001) were associated with negative test results. NPVs were higher in patients with age < 60years (p=0.024) and examined with ultrasound (p<0.001). The deep learning algorithm could accurately rule out significant rotator cuff tear based on shoulder radiographs. • The deep learning algorithm can rule out significant rotator cuff tear with a negative likelihood ratio of 0.06 and a negative predictive value of 96.6%. • The deep learning algorithm can guide patients with significant rotator cuff tear to additional shoulder ultrasound or MRI with a sensitivity of 97.3%. • The deep learning algorithm could rule out significant rotator cuff tear in about 30% of patients with clinically suspected rotator cuff tear.

Multiplex real-time PCR for detection and quantification of Colletotrichum abscissum and C. gloeosporioides on Citrus leaves

Colletotrichum abscissum and C. gloeosporioides are the causal agents of citrus Postbloom Fruit Drop (PFD), a major disease in several countries of the American continent. These pathogens infect only floral structures; however, in the absence of floral tissue, they survive asymptomatically on the leaf tissue. Thus, detecting and quantifying pathogens on leaves are critical for epidemiological studies. Colletotrichum species are detected through isolation, serological methods and conventional PCR, but these techniques are not effective for accurate detection of PFD agents. This study aimed to develop specific, more sensitive, faster and less laborious techniques than the traditional ones routinely used. We developed, standardized and validated a multiplex real-time PCR with high sensitivity (98–99.3%) and specificity (94.3–97.1%) for the detection and quantification of both pathogens. This technique was 1000 and 10,000 times more sensitive than Nested-PCR and PCR, respectively for the detection of C. abscissum. Similarly, the multiplex qPCR was 100 and 1000 times more sensitive than Nested-PCR and PCR, respectively for the detection of C. gloeosporioides. The diagnostic parameters used to validate the multiplex qPCR showed a high positive (17–35) and low negative (0.006–0.95) likelihood ratios, low percentage of false positives (2.8–5.6%) and false negatives (0.6–1.9%), good agreement between the results generated between qPCR and multiplex qPCR, revealed by the Kappa index (0.91–0.98) and coincidental results (95–99%). All parameters indicated that the multiplex qPCR was effectively validated to detect and quantify the causal agents of PFD.

The product of triglycerides and glucose as biomarker for screening simple steatosis and NASH in asymptomatic women

Introduction and aim. Given that early identification of non-alcoholic fatty liver disease (NAFLD) is an important issue for primary prevention of hepatic disease, the objectives of this study were to evaluate the efficacy of the product of triglyceride and glucose levels (TyG) for screening simple steatosis and non-alcoholic steatohepatitis (NASH) in asymptomatic women, and to compare its efficacy vs. other biomarkers for recognizing NAFLD.Material and methods. Asymptomatic women aged 20 to 65 years were enrolled into a cross-sectional study. The optimal values of TyG, for screening simple steatosis and NASH were established on a Receiver Operating Characteristic scatter plot; the sensitivity, specificity, and likelihood ratios of TyG index were estimated versus liver biopsy. According sensitivity and specificity, the efficacy of TyG was compared versus the well-known clinical biomarkers for recognizing NAFLD.Results. A total of 50 asymptomatic women were enrolled. The best cutoff point of TyG for screening simple steatosis was 4.58 (sensitivity 0.94, specificity 0.69); in addition, the best cutoff point of TyG index for screening NASH was 4.59 (sensitivity 0.87, specificity 0.69). The positive and negative likelihood ratios were 3.03 and 0.08 for simple steatosis, and 2.80 and 0.18 for NASH. As compared versus SteatoTest, NashTest, Fatty liver index, and Algorithm, the TyG showed to be the best test for screening.Conclusions. TyG has high sensitivity and low negative likelihood ratio; as compared with other clinical biomarkers, the TyG showed to be the best test for screening simple steatosis and NASH.

The Role of Parental Concerns in the Recognition of Sepsis in Children: A Literature Review

Background: Sepsis is a time critical disease and outcomes strongly depend on time to initiation of appropriate treatment in hospital. A range of studies have assessed sepsis recognition in hospital settings, whereas little is known about sepsis recognition in the community. The decision-making of parents in seeking medical care may substantially impact survival of children with sepsis. An improved understanding of the parental perspective in recognizing sepsis is urgently needed to inform the design of education campaigns and consideration of using parental concerns as a trigger in sepsis screening tools.Aim: To review the literature on parental concerns in the diagnosis of sepsis in children.Methods: A literature review on parental concerns in pediatric sepsis was performed accessing publications in PubMed, CINAHL and Medline published between 1990 and 2018. In addition, we compared guidelines and online institutional sepsis recognition tools and assessed whether parental concerns were used for screening.Results: Out of 188 articles reviewed, 11 met the criteria. One article was found prospectively assessing the diagnostic performance of parental concern in children evaluated for infection, indicating high positive (16.4) and negative likelihood ratio (0.23) for sepsis/meningitis in presence of parental concerns. The role of parental concern was listed as a sign assisting recognition of sepsis in four studies reporting original data, and six reviews commented on parental concern listed as a factor upon diagnosis of sepsis. When comparing selected examples of institutional sepsis pathways available online, parental concern was variably listed as a criterion to prompt evaluation for sepsis.Conclusions: Despite some guidelines emphasizing the role of parental concern in recognizing sepsis, there is a paucity of data in the field. An improved understanding of whether parental concerns adds diagnostic value to sepsis recognition at acceptable sensitivity and specificity is urgently needed. Future prospective studies should assess whether including parental concerns in sepsis screening tools benefits the assessment resulting in early diagnosis and treatment of children with sepsis.

LO42: Is point-of-care ultrasound a reliable predictor of outcome during atraumatic, non-shockable cardiac arrest? A systematic review and meta-analysis

Introduction: Point-of-Care Ultrasound (PoCUS) is being increasingly utilized during cardiac arrests for prognosis. Following the publication of recent studies, the goal of this study was to systematically review and analyze the literature to evaluate the accuracy of PoCUS in predicting return of spontaneous circulation (ROSC), survival to hospital admission (SHA), and survival to hospital discharge (SHD) in adult patients with non-traumatic, non- shockable out- of-hospital or emergency department cardiac arrest. Methods: A systematic review and meta-analysis was completed. A search of Medline, EMBASE, Cochrane, CINAHL, ClinicalTrials.gov and the World Health Organization Registry was completed from 1974 until August 24th 2018. Adult randomized controlled trials and observational studies were included. The QUADAS-2 tool was applied by two independent reviewers. Data analysis was completed according to PRISMA guidelines and with a random effects model for the meta-analysis. Heterogeneity was assessed using I-squared statistics. Results: Ten studies (1,485 participants) were included. Cardiac activity on PoCUS had a pooled sensitivity of 59.9% (95% confidence interval 36.5%-79.4%) and specificity of 91.5% (80.8%-96.5%) for ROSC; 74.7% (58.3%-86.2%) and 80.5% (71.7%-87.4%) for SHA; and 69.4% (45.5%-86.0%) and 74.6% (59.8%-85.3%) for SHD. The sensitivity of cardiac activity on PoCUS for predicting ROSC was 24.7%(6.8%-59.4%) in the asystole subgroup compared with 77% (59.4%-88.5%) within the PEA subgroup. Cardiac activity on PoCUS, compared to an absence had an odd ratio of 15.9 (5.9-42.5) for ROSC, 9.8 (4.9-19.4) for SHA and 5.7 (2.1-15.6) for SHD. Positive likelihood ratio (LR) was 6.65 (3.16-14.0) and negative LR was 0.27 (0.12-0.61) for ROSC. Conclusion: Cardiac activity on PoCUS was associated with improved odds for ROSC, SHA, and SHD among adults with non-traumatic asystole and PEA. We report lower sensitivity and higher negative likelihood ratio, but with greater heterogeneity compared to previous systematic reviews. PoCUS may provide valuable information in the management of non-traumatic PEA or asystole, but should not be viewed as the sole predictor in determining outcomes in these patients.