Low Negative Predictive Value Research Articles

Machine learning to improve the performance of natriuretic peptides across age groups for the diagnosis of acute heart failure

Abstract Background Guidelines recommend N-terminal pro-B-type natriuretic peptide (NT-proBNP) thresholds for the diagnosis of acute heart failure but performance of these thresholds in different age groups is uncertain and could be improved using machine learning methods that incorporate age as a continuous measure. Purpose To evaluate the diagnostic performance of guideline-recommended NT-proBNP thresholds for different age groups and a validated decision-support tool using machine learning for the diagnosis of acute heart failure. Methods NT-proBNP concentrations and the output from the CoDE-HF decision-support tool that uses machine learning to combine NT-proBNP and age as continuous variables with other patient variables were determined in 10,369 patients (median age 73 [interquartile range 59-82]) with suspected acute heart failure pooled from fourteen studies. The diagnostic performance of guideline-recommended NT-proBNP uniform rule-out thresholds (300 pg/mL), and age-stratified rule-in thresholds (450 pg/mL, 900 pg/mL and 1,800 pg/mL for <50, 50-75 and ≥75 years, respectively) and CoDE-HF were evaluated using random effects meta-analysis across patient age groups. Results Overall, 43.9% (4549/10 369) of patients had an adjudicated diagnosis of acute heart failure. The negative predictive value (NPV) of the rule-out threshold of 300 pg/mL was lower in patients with increasing age (NPV 88.2% [confidence interval (CI) 83.5-91.8%] ≥75 years versus 98.9% [97.6-99.5%] <50 years) (Figure 1). Conversely, the positive predictive value (PPV) of age stratified rule-in thresholds was lower in younger patients (PPV 61.8% [55.9-67.4%] <50 years versus 80.5 % [71.1-87.4%] ≥75 years) (Figure 2). CoDE-HF had improved diagnostic performance compared to NT-ProBNP thresholds for all age groups, with the lowest NPV and PPV being 96.4% (93.8-97.9%) and 78.6% (59.8-90.0%), respectively. Conclusion The diagnostic performance of guideline recommended thresholds of NT-proBNP to rule-in and rule-out acute heart failure varies significantly with age. A decision-support tool that incorporates NT-proBNP with age as continuous variables provides a more consistent and accurate approach.Figure 1.Negative predictive valueFigure 2.Positive predictive value

Accuracy of Preoperative Imaging in Assessing the Positivity of the Deep Periosteal Margin in Dermatofibrosarcoma Protuberans of the Scalp.

The locally aggressive nature and high recurrence rate of dermatofibrosarcoma protuberans (DFSP) make it challenging to manage, especially when present on the scalp, owing to its ability to invade the underlying periosteum, bone, dura, or brain. Preoperative imaging is used to plan resection, but the true correlation between periosteal or osseous changes on imaging and the presence of tumor within the periosteum is unclear. We present our institutional experience of managing DFSP of the scalp with emphasis on the imaging used. A retrospective review of 33 patients with DFSP of the scalp treated at a tertiary center was conducted. Data on demographics, tumor characteristics, preoperative imaging (magnetic resonance imaging or computed tomography), and surgical outcomes were analyzed. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each imaging modality were calculated. Patients underwent surgical resection at a mean age of 37.11 years and had a median follow-up of 28.34 months. Preoperative imaging was available for 26 patients (CT only: 5, MRI only: 12, CT and MRI: 9). Calvarial abnormalities were seen in 3 patients. Treatment included Mohs surgery (66.7%) and wide local excision (33.3%). In 10 patients with positive periosteal margins, bone involvement was managed by burring (7) or craniectomy (3). The sensitivity and PPV of CT for periosteal margin positivity were 25% and 100%, and for MRI were 33% and 100%, respectively. The specificity and NPV were 100% and 50% for CT, and 100% and 66% for MRI. Preoperative CT and MRI have low sensitivity and NPV but high specificity and PPV in determining depth of involvement and are essential to guiding reconstruction in DFSP of the scalp.

Abstract C014: Lower negative predictive value of prostate MRI in Black men

Abstract Introduction: PIRADS scoring with multiparametric-MRI (MRI) has a pooled 90% negative predictive value (NPV) allowing men to defer biopsy while enhancing Gleason Grade group 2-5 (GG2-5) prostate cancer (PCa) detection. PSA density (PSAD) ≥0.15ng/ml/cm3 has been shown to enhance NPV of the prostate MRI in non-Black men. We assessed the performance of the prostate MRI in Black vs. non-Black men by evaluating sensitivity and NPV, and identified a PSAD threshold providing ≥90% NPV in Black men. Methods: We prospectively recruited Black and non-Black men referred to outpatient urology clinics for abnormal PSA or prostate exam in three similar biomarker validation studies from 2017–23 before MRI-informed diagnostic transrectal or transperineal prostate biopsy. We combined this research cohort with a retrospective clinical cohort of clinically similar Black and non-Black men from one academic institution who also underwent prostate MRIs and MRI-informed biopsies for elevated PSA. Trained radiologists used PIRADS version 2.0 or 2.1 for scoring. Results: Following the combination of the research and clinical cohorts, 286 Black men and 965 non-Black men with PSA<15.0ng/ml were included in the analysis. PIRADS ≥3 had an NPV of 77.1% versus 87.6% and a sensitivity of 90.7% vs. 96.3% for GG2-5 PCa in Black versus non-Black men, respectively (both p<0.05). Using PSAD ≥0.09 for Black men with PIRADS 1-2 lesions increased sensitivity to 92.9%. For PIRADS 1-2, GG2-5 PCa frequency was 5.3% higher in Black versus non-Black men with PSAD<0.15, and 11.0% higher in Black versus non-Black men with PSAD≥0.15. For PIRADS=3, GG2-5 PCa frequency was 9.1% higher in Black men with PSAD<0.15 and 27.9% higher for PSAD≥0.15. For PIRADS=4, GG2-5 PCa frequency was 15.9% higher in Black men with PSAD<0.15, and 9.5% higher for PSAD≥0.15. Conclusion: The PIRADS ≥3 threshold has a lower NPV and sensitivity in Black men. A negative prostate MRI requires a PSAD ≥0.09 threshold for safe biopsy deferral in Black men to maintain a sensitivity ≥90%. Citation Format: Sarah Sandlow, Samuel Carbunaru MD, Zequn Sun PhD, Bernice Ofori MPH, Courtney M. P. Hollowell MD, Patricia Vidal MD, Eric Li MD, Edward M. Schaeffer MD, PhD, Peter Gann MD, ScD, Ashley Ross MD, PhD, Shilajit Kundu MD, Adam B. Murphy MD, MBA, MSCI. Lower negative predictive value of prostate MRI in Black men [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C014.

Role of ultrasound and magnetic resonance neurography in the detection of median nerve abnormalities in carpal tunnel syndrome

BackgroundThe most prevalent cause of peripheral nerve entrapment is carpal tunnel syndrome, which is characterized by compression of the median nerve at the wrist as a result of nearby or localized microvascular interference as well as structural alterations to the median nerve or adjacent tissues. However, no special information regarding the median nerve or its surroundings is provided by clinical examination or electrophysiological testing. The purpose of this study is to evaluate the effectiveness of magnetic resonance neurography (MRN) and ultrasound in identifying changes and abnormalities of the median nerve in carpal tunnel syndrome.MethodsThe twenty-five patients in this study ranged in age from 27 to 63 years old, with a mean age of 47. There were 18 female patients and seven male patients. All patients were sent to the radiology department from the orthopedics, neurology, outpatient clinic, and neurology department, at Ain Shams Hospital, Faculty of Medicine, Ain Shams University. All of the patients had clinically manifested pain along the median nerve distribution, each of the sixteen patients had hand paresthesia, and four had thenar muscle atrophy.ResultsIn the current study, Ultrasound exhibits low negative predictive value of 67% and specificity of 67%, but high positive predictive value of 95%, sensitivity of 95%, and overall accuracy of 92%. On the other hand, (MRN) exhibits a low negative predictive value of 60% and a high specificity of 75% in the diagnosis of nerve entrapment, but it also displays a high positive predictive value of 95%, sensitivity of 90%, and overall accuracy of 88%. Regarding the assessment of the recurrence cause and post-surgical evaluation is more reliable by Magnetic Resonance Neurography examination.ConclusionsMagnetic resonance neurography and high-resolution ultrasonography can be utilized to diagnose patients with median nerve entrapment and patients who cannot be diagnosed electrophysiologically.MRN is a more accurate method for detecting the exact location of nerve entrapment and evaluating nerve recovery after surgical intervention than nerve conduction studies and electromyography. Additionally, MRN can be used to identify causes that were not previously recognized based on physical examination and electrophysiological tests.

Potential Application of Anti-Cyclic Citrullinated Peptide (Anti-CCP) for the Diagnosis of Periodontal Disease in Patients with Rheumatoid Arthritis with Cut-Off Determination.

Background: Rheumatoid arthritis (RA) and periodontal disease (PD) are both characterized by an inflammatory reaction. Anti-cyclic citrullinated peptide (anti-CCP) is a common diagnostic test for RA. Anti-CCP is proposed to be used as a serological biomarker to detect PD in patients with RA.Methods: A case-control study was designed for 94 subjects; 42 patients with RA and 52 without RA. PD and its types were investigated among these subjects. An enzyme-linked immunosorbent assay (ELISA) test was used to measure anti-CCP levels in these subjects.Results: Subjects were recategorized into four groups after PD diagnosis: group 1 for RA with PD (34.04%); group 2 for RA only (10.63%); group 3 for PD only (30.85%); and group 4 for individuals without RA and PD (24.46%). Anti-CCP may be considered an effective biomarker for predicting the development of PD in RA patients based on five current results found in group 1 compared to other groups. These included the detection of significantly higher anti-CCP levels, a high sensitivity (63.15%), low specificity (50%), higher cut-off value (58.53 U/ml), high positive predictive value (94.73%), and low negative predictive value (8.69%) of anti-CCP. Chronic periodontitis is the most common and has a significant association with elevated levels of anti-CCP.Conclusion: Measuring the anti-CCP level in RA patients may be a good indicator for PD diagnosis based on the suggested cut-off value. The sensitivity of the test is sufficiently reliable to produce true positive results. Anti-CCP may also be useful in the diagnosis of PD type, especially chronic periodontitis.

Cardiac biomarkers for screening and prognostication of cardiac dysfunction in critically ill patients.

This study aimed to assess the use of high-sensitivity troponin T (hsTNT) and N-terminal pro-brain natriuretic peptide (NT-proBNP) in screening for cardiac dysfunction [left ventricular (LV) systolic or diastolic dysfunction or right ventricular (RV) dysfunction] in mixed intensive care unit (ICU) patients and establish whether these biomarkers are independently associated with an increased risk of death. We performed a secondary analysis of a single-centre prospective observational study in which consecutive ICU patients were examined with transthoracic echocardiography (TTE) and cardiac biomarkers. Patients with systolic or diastolic LV dysfunction, RV dysfunction or a combination of these were compared with patients with normal cardiac function. Sensitivity and specificity for different cut-off levels were calculated using receiver operating characteristic curves. Regression models were used to evaluate the associations between cardiac biomarkers, sepsis, renal failure and mortality. A total of 276 patients were included. Most of the patients had cardiac dysfunction on TTE (64%). Combined cardiac dysfunction was most prevalent (71 patients, 26%), followed by isolated diastolic LV dysfunction (40 patients, 15%). Levels of hsTNT and NT-proBNP were higher in all types of cardiac dysfunction versus patients with normal cardiac function. The area under the curve (AUC) for hsTNT to detect any cardiac dysfunction was 0.75. An optimal cut-off at 30.5ng/L rendered a positive predictive value (PPV) of 80% and a negative predictive value (NPV) of 58%. The AUC for NT-proBNP to detect any cardiac dysfunction was 0.788. Using an optimal cut-off at 1145ng/L rendered a PPV of 86% and an NPV of 58%. Using a clinically relevant 90% sensitivity for detecting cardiac dysfunction put the cut-offs at 14.1ng/L for hsTNT and 247ng/L for NT-proBNP, resulting in a specificity of 48% and 46%, respectively. Levels of NT-proBNP were associated with sepsis and renal failure (P<0.001), while levels of hsTNT were associated with renal failure only (P<0.001) after adjustment for cardiac dysfunction. Levels of biomarkers were associated with an increased risk of 90day mortality after adjustments for age, Simplified Acute Physiology Score 3, cardiac dysfunction and factors independently associated with biomarker increase (sepsis and renal failure) (P=0.048 for hsTNT and P<0.006 for NT-proBNP). Cardiac biomarkers, hsTNT and NT-proBNP, are strongly correlated to cardiac dysfunction in ICU patients and have a robust association with increased mortality. However, the relatively low NPV and the low specificity at relevant sensitivity levels of the biomarkers make them unsuitable for use in screening for cardiac dysfunction.

What is the best predictor of body fat percentage for older brazilian women?

This study aimed to investigate the validity of several equations and predictive indices for estimating body fat percentage (%BF) in 152 older women, with an average age of 67.4 years and an average body mass index (BMI) of 28.65 kg/m². To this end, anthropometric measurements including height, body weight, circumferences (waist and hip), and a dual energy X-ray absorptiometry (DXA) scan were performed. All measurements were performed by trained researchers following specific protocols. The results were compared to the dual energy X-ray absorptiometry (DXA) technique, which is considered the reference method. The analyzed equations showed moderate to good correlation coefficients with DXA, with particular emphasis on Visser’s equation 6, which showed the best correlation (r = 0.752, p &lt; 0.001). However, the agreement between the equations and DXA, as assessed by the Lin concordance coefficient, was classified as poor (ρc &lt; 0.90). This indicates that although the equations have a positive correlation with body composition, they tend to deviate from the identity line when compared to the reference method. Additionally, the equations showed high sensitivity for detecting obesity when the cut-off point of 30% body fat was adopted, indicating a good ability to identify the presence of the condition. However, the equations, with the exception of equation 4, showed low specificity, meaning they had limited ability to detect normal individuals, resulting in a low negative predictive value. The results suggest that BF% equations and indices are dependent on the populations in which they were developed. The specificity and sensitivity of these equations may vary, and it is important to carefully select the most appropriate equation for estimating BF% in older Brazilian women. Keywords: Anthropometry; body composition; older adults.

Efficacy of the PEN-FAST score in a French cohort of patients with reported allergy to penicillins.

Various clinical decision-making tools for penicillin allergy have been developed to guide delabeling strategies. To evaluate the penicillin allergy PEN-FAST decision score in a retrospective cohort of patients, adults and children, with penicillin-reported allergy. This monocentric retrospective cohort included patients with penicillin-reported allergy. All patients underwent penicillin allergy testing using skin tests and/or drug challenge. The PEN-FAST score sensitivity, specificity, negative (NPV) and positive (PPV) predictive values, and the area under the receiver operating characteristics curve (AUC) were calculated. Two hundred and fourteen patients were included (64 children and 150 adults). Allergy was confirmed in 52 cases (24%). A PEN-FAST score <3 points showed a poor discrimination capacity for the whole population (AUC = 0.66; 95% CI: 0.58-0.75), while it demonstrated a better discrimination capacity in the adults group (AUC = 0.71; 95% CI: 0.63-0.80). The sensitivity to identify penicillin allergy using this cutoff of less than 3 points was 0.67 (95% CI: 0.52-0.80); specificity, 0.58 (95% CI: 0.48-0.68); PPV, 0.43 (95% CI: 0.32-0.55); and NPV, 0.78 (95% CI: 0.68-0.87). Although our data confirm a rather good discrimination value of a PEN-FAST score <3 points, its low negative predictive value (78%) did not advocate for its use as an accurate, simple and cost-effective clinical decision-making tool to effectively reduce the number of penicillin skin tests required before direct oral challenge. Further studies are required to improve the predictive capacity of the PEN-FAST score.

Diagnostic and prognostic performance of the LiverRisk score in tertiary care

Diagnostic and prognostic performance of the LiverRisk score in tertiary care

The Diagnostic Accuracy of EXTEM and HEPTEM Clotting Times Versus Standard Laboratory Tests in Cardiac Surgical Patients With and Without Normal FIBTEM Values

ObjectiveThere is extensive evidence to support the use of FIBTEM to identify hypofibrinogenemia during cardiac surgery, but less to support the use of EXTEM and INTEM Clotting Times (CTs) to identify other plasmatic coagulation factor deficiencies. The aim of the current study was to assess the diagnostic accuracy of EXTEM, INTEM, and HEPTEM CTs, using laboratory INR and aPTT as reference standards. DesignRetrospective diagnostic accuracy study. SettingTertiary Referral Hospital. Participants176 cardiac surgical patients InterventionsINR, aPTT, ROTEM EXTEM, INTEM, and HEPTEM were measured post-heparin reversal after cardiopulmonary bypass. Measurements and Main ResultsSensitivity, specificity, and positive (PPV) and negative predictive values (NPV) for EXTEM CT>80s and HEPTEM CT>280s to detect INR≥2.0, and for INTEM CT>205s to detect aPTT≥38.5s were calculated for all patients, and for the subset with normal FIBTEM A5 (>6mm). INR≥2.0 prevalence was 13%. EXTEM CT>80s had a sensitivity of 1.00, specificity 0.25, PPV 0.17 and NPV 1.00. HEPTEM CT>280s had a sensitivity of 0.91, specificity 0.38, PPV 0.18, and NPV 0.97. INTEM CT>205s had sensitivity of 0.97, specificity 0.11, PPV 0.57 and NPV 0.75 for aPTT≥38.5s. These values were similar for the subset of patients with normal FIBTEM A5. ConclusionsEXTEM CT>80s and HEPTEM CT>280s have high sensitivities and NPVs for INR>2.0, which would effectively ‘rule out’ INR>2.0 as a cause for excessive bleeding. However, the low specificities and PPVs indicate they would be less effective to rule it in. INTEM CT>205s had both low PPV and NPV to identify aPTT>38.5s.

Multicenter validation of an artificial intelligence (AI)-based platform for the diagnosis of acute appendicitis

BackgroundThe current scores used to help diagnose acute appendicitis have a “gray” zone in which the diagnosis is usually inconclusive. Furthermore, the universal use of CT scanning is limited because of the radiation hazards and/or limited resources. Hence, it is imperative to have an accurate diagnostic tool to avoid unnecessary, negative appendectomies. MethodsThis was an international, multicenter, retrospective cohort study. The diagnostic accuracy of the artificial intelligence platform was assessed by sensitivity, specificity, negative predictive value, the area under the receiver curve, precision curve, F1 score, and Matthews correlation coefficient. Moreover, calibration curve, decision curve analysis, and clinical impact curve analysis were used to assess the clinical utility of the artificial intelligence platform. The accuracy of the artificial intelligence platform was also compared to that of CT scanning. ResultsTwo data sets were used to assess the artificial intelligence platform: a multicenter real data set (n = 2,579) and a well-qualified synthetic data set (n = 9736). The platform showed a sensitivity of 92.2%, specificity of 97.2%, and negative predictive value of 98.7%. The artificial intelligence had good area under the receiver curve, precision, F1 score, and Matthews correlation coefficient (0.97, 86.7, 0.89, 0.88, respectively). Compared to CT scanning, the artificial intelligence platform had a better area under the receiver curve (0.92 vs 0.76), specificity (90.9 vs 53.3), precision (99.8 vs 98.9), and Matthews correlation coefficient (0.77 vs 0.72), comparable sensitivity (99.2 vs 100), and lower negative predictive value (67.6 vs 99.5). Decision curve analysis and clinical impact curve analysis intuitively revealed that the platform had a substantial net benefit within a realistic probability range from 6% to 96%. ConclusionThe current artificial intelligence platform had excellent sensitivity, specificity, and accuracy exceeding 90% and may help clinicians in decision making on patients with suspected acute appendicitis, particularly when access to CT scanning is limited.

Identification of Alcohol Use Prior to Major Cancer Surgery: Timeline Follow Back Interview Compared to Four Other Markers

Background: The postoperative complication rate is 30–64% among patients undergoing muscle-invasive and recurrent high-risk non-muscle-invasive bladder cancer surgery. Preoperative risky alcohol use increases the risk. The aim was to evaluate the accuracy of markers for identifying preoperative risky alcohol. Methods: Diagnostic test sub-study of a randomized controlled trial (STOP-OP trial), based on a cohort of 94 patients scheduled for major bladder cancer surgery. Identification of risky alcohol use using Timeline Follow Back interviews (TLFB) were compared to the AUDIT–C questionnaire and three biomarkers: carbohydrate-deficient transferrin in plasma (P–CDT), phosphatidyl-ethanol in blood (B–PEth), and ethyl glucuronide in urine (U–EtG). Results: The correlation between TLFB and AUDIT–C was strong (ρ = 0.75), while it was moderate between TLFB and the biomarkers (ρ = 0.55–0.65). Overall, sensitivity ranged from 56 to 82% and specificity from 38 to 100%. B–PEth showed the lowest sensitivity at 56%, but the highest specificity of 100%. All tests had high positive predictive values (79–100%), but low negative predictive values (42–55%). Conclusions: Despite high positive predictive values, negative predictive values were weak compared to TLFB. For now, TLFB interviews seem preferable for preoperative identification of risky alcohol use.

Assessing the Performance of In silico Tools and Molecular Dynamics Simulations for Predicting Pharmacogenetic Variant Impact.

The ability of freely available in silico tools to predict the effect of non-synonymous single nucleotide polymorphisms (nsSNPs) in pharmacogenes on protein function is not well defined. We assessed the performance of seven sequence-based (SIFT, PolyPhen2, mutation accessor, FATHMM, PhD-SNP, MutPred2, and SNPs & Go) and five structure-based (mCSM, SDM, DDGun, CupSat, and MAESTROweb) tools in predicting the impact of 118 nsSNPs in the CYP2C19, CYP2C9, CYP2B6, CYP2D6, and DPYD genes with known function (24 normal, one increased, 42 decreased, and 51 no-function). Sequence-based tools had a higher median (IQR) positive predictive value (89% [89-94%] vs. 12% [10-15%], P < 0.001) and lower negative predictive value (30% [24-34%] vs. 90% [80-93%], P < 0.001) than structure-based tools. Accuracy did not significantly differ between sequence-based (59% [37-67%]) and structure-based (34% [23-44%]) tools (P = 0.070). Notably, the no-function CYP2C9*3 allele and decreased function CYP2C9*8 allele were predicted incorrectly as tolerated by 100% of sequenced-based tools and as stabilizing by 60% and 20% of structure-based tools, respectively. As a case study, we performed mutational analysis for the CYP2C9*1, *3 (I359L), and *8 (R150H) proteins through molecular dynamic (MD) simulations using S-warfarin as the substrate. The I359L variant increased the distance of the major metabolic site of S-warfarin to the oxy-ferryl center of CYP2C9, and I359L and R150H caused shifts in the conformation of S-warfarin to a position less favorable for metabolism. These data suggest that MD simulations may better capture the impact of nsSNPs in pharmacogenes than other tools.

Dairy intake screener as web-based application is reliable and valid.

The "Dairy Diary" is a user-friendly web-based dairy intake screener. The reliability and validity are unknown. We aimed to evaluate the screener in terms of test-retest reliability and comparative validity. In a diagnostic accuracy study, a purposefully recruited sample of 79 (age: 21.6 ± 3.8 years) undergraduate dietetics/nutrition students from three South African universities completed 3 non-consecutive days of weighed food records (reference standard) within a seven-day period (comparative validity), followed by two administrations, 2 weeks apart, of the screener (index test) (reliability). For the four dairy product serving scores (PSSs) and the summative dairy serving scores (DSSs) of the screener and the food records, t-tests, correlations, Bland-Altman, Kappa, McNemar's, and diagnostic accuracy were determined. For reliability, mean PSSs and DSSs did not differ significantly (p > .05) between the screener administrations. The mean PSSs were strongly correlated: milk (r = .69; p < .001), maas (fermented milk) (r = .72; p < .001), yoghurt (r = .71; p < .001), cheese (r = .74; p < .001). For DSSs, Kappa was moderate (k = 0.45; p < .001). Non-agreeing responses suggest symmetry (p = .334). For validity, the PSSs of the screener and food records were moderately correlated [milk (r = .30; p = .0129), yoghurt (r = .38; p < .001), cheese (r = .38; p < .001)], with k = 0.31 (p = .006) for DSS. Bland-Altman analyses showed acceptable agreement for DSSs (bias: -0.49; 95% CI: -0.7 to -0.3). Categorized DSSs had high sensitivity (81.4%) and positive predictive value (93.4%), yet low specificity (55.6%) and negative predictive value (27.8%). The area under the receiver operating characteristic curve (0.7) was acceptable. The "Dairy Diary" is test-retest reliable with moderate comparative validity to screen for dairy intake of nutrition-literate consumers.

Clinical predictors of therapeutic laparotomy in anterior abdominal stab injuries: a multicenter study from low-income institutions in Ethiopia.

Despite the high incidence of abdominal stab injuries, the rate of nontherapeutic laparotomies and the predictors of therapeutic laparotomies have rarely been studied in low-income settings. This multicenter retrospective study involved three of the largest academic medical centers in central Ethiopia. All patients who sustained an anterior abdominal stab injury and underwent exploratory laparotomy, regardless of the intraoperative findings, were included over the 3-year course of the study. Of the 117 patients who underwent exploratory laparotomy, 35 patients (29.9%) underwent nontherapeutic laparotomies. Three factors predicted therapeutic laparotomy: hollow viscus evisceration (adjusted odds ratio [AOR], 5.77; 95% confidence interval [CI], 1.16-28.64; P=0.032), localized and generalized peritonitis (AOR, 4.77; 95% CI, 1.90-11.93; P=0.001), and white blood cell count ≥11,500/mm3 (AOR, 2.77; 95% CI, 1.002-7.650; P=0.049). The overall positive predictive value of the therapeutic predictors was 80.2%, while the negative predictive value of all predictor-negative patients was 58.1%. The predictors would have prevented 51.4% of the nontherapeutic laparotomies. Close to one-third of the patients had a nontherapeutic laparotomy. The clinical predictors of therapeutic laparotomy were shown to have a high positive predictive value despite a lower negative predictive value. Further prospective studies that involve all patients who sustain anterior abdominal stab injuries are needed to potentially improve on the negative predictive value of the predictors suggested by our study.

Monopolar stereoelectroencephalography-guided radiofrequency thermocoagulation.

Stereoelectroencephalography (SEEG)-guided radiofrequency thermocoagulation (RFTC) has the advantage of producing a lesion in the epileptogenic zone (EZ) at the end of SEEG. The majority of published SEEG-guided RFTCs have been bipolar and usually performed between contiguous contacts of the same electrode. In the present study, the authors evaluate the safety, efficacy, and benefits of monopolar RFTC at the end of SEEG. This study included a series of 31 consecutive patients who had undergone RFTC at the end of SEEG for drug-resistant focal epilepsy in the period of January 2013-December 2019. Post-RFTC seizure control was assessed after 2 months and at the last follow-up visit. Twenty-one patients underwent resective epilepsy surgery after the SEEG-guided RFTC, and the postoperative seizure outcome among these patients was compared with the post-RFTC seizure outcome. Four hundred forty-six monopolar RFTCs were done in the 31 patients. Monopolar RFTCs were performed in all cortical areas, including the insular cortex in 11 patients (56 insular RFTCs). There were 31 noncontiguous lesions (7.0%) because of vascular constraints. The volume of one monopolar RFTC, as measured on T2-weighted MRI immediately after the procedure, was between 44 and 56 mm3 (mean 50 mm3). The 2-month post-RFTC seizure outcomes were as follows: seizure freedom in 13 patients (41.9%), ≥ 50% reduced seizure frequency in 11 (35.5%), and no significant change in 7 (22.6%). Seizure outcome at the last follow-up visit (mean 18 months, range 2-54 months) showed seizure freedom in 2 patients (6.5%) and ≥ 50% reduced seizure frequency in 20 patients (64.5%). Seizure freedom after monopolar RFTC was not significantly associated with the number or location of coagulated contacts. Seizure response after monopolar RFTC had a high positive predictive value (93.8%) but a low negative predictive value (40%) for seizure outcome after subsequent resective surgery. In this series, the only complication (3.2%) was a limited intraventricular hematoma following RFTC performed in the hippocampal head, with spontaneous resolution and no sequelae. The use of monopolar SEEG-guided RFTC provides more freedom in terms of choosing the SEEG contacts for thermocoagulation and a larger thermolesion volume. Monopolar thermocoagulation seems particularly beneficial in cases with an insular EZ, in which vascular constraints could be partially avoided by making noncontiguous lesions within the EZ.

Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images.

To compare the diagnostic performance of 40 keV and 70keV virtual monoenergetic images (VMIs) generated from dual-energy CT in the detection of pancreatic cancer. This retrospective study included patients who underwent pancreatic protocol dual-energy CT from January 2019 to August 2022. Four radiologists (1-11years of experience), who were blinded to the final diagnosis, independently and randomly interpreted 40 keV and 70keV VMIs and graded the presence or absence of pancreatic cancer. For each image set (40keV and 70keV VMIs), the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated. The diagnostic performance of each image set was compared using generalized estimating equations. Overall, 137 patients (median age, 71years; interquartile range, 63-78years; 77 men) were included. Among them, 62 patients (45%) had pathologically proven pancreatic cancer. The 40 keV VMIs had higher specificity (75% vs. 67%; P < .001), PPV (76% vs. 71%; P < .001), and accuracy (85% vs. 81%; P = .001) than the 70 keV VMIs. On the contrary, 40keV VMIs had lower sensitivity (96% vs. 98%; P = .02) and NPV (96% vs. 98%; P = .004) than 70keV VMIs. However, the diagnostic confidence in patients with (P < .001) and without (P = .001) pancreatic cancer was improved in 40 keV VMIs than in 70 keV VMIs. The 40 keV VMIs showed better diagnostic performance in diagnosing pancreatic cancer than the 70keV VMIs, along with higher reader confidence.

Re-evaluation of nailfold capillaroscopy in discriminating primary from secondary Raynaud’s phenomenon and in predicting systemic sclerosis: a randomised observational prospective cohort study

ABSTRACT Background Primary Raynaud’s phenomenon (pRP) is difficult to distinguish from secondary (sRP). Although nailfold capillaroscopy (NFC) may detect early alterations, no universal criteria yet discriminate between pRP from sRP. Objectives To create and validate two NFC scores that could distinguish pRP from sRP and that could predict systemic sclerosis (SSc), respectively. Methods We performed NFC on two separate cohorts with isolated RP, and recorded number of capillaries per field, enlarged/giant capillaries, crossed/bizarre patterns, microhemorrhages, neoangiogenesis, rarefaction, edema, blood flow velocity, stasis. By multivariate regression analysis, we evaluated the adjusted prognostic role of these features in a derivation cohort of 656 patients. Results were used to construct algorithm-based prognostic scores (A and B). These scores were then tested on a confirmation cohort of 219 patients. Results Score A was unable to discriminate sRP from pRP (low negative predictive values with high positive predictive values for any cut-point); score B was unable to discriminate progression to SSc or a SSc-spectrum disorder (low positive predictive values with high negative predictive values for lower cut-points). Conclusion NFC patterns, believed as specific, showed low discriminatory power and on their own are unable to reliably discriminate sRP from pRP or predict evolution to SSc.

Preoperative diagnosis of ureteral medial deviations secondary to deep endometriosis using transvaginal ultrasound examinations: Can we predict the need for ureterolysis during laparoscopic surgery?

To evaluate ureteral involvement using transvaginal sonography (TVS) regarding the distortion of the course of the ureters caused by deep endometriosis (DE), which can facilitate predicting the need for ureterolysis during surgery, even in the absence of ureteral stenosis or dilatation. This is a single-center, observational, retrospective pilot study of 88 consecutive patients who later underwent surgery for DE that used ultrasound preoperative diagnosis of ureteral medial deviation of one or both ureters between January 2019 and January 2022. At TVS, the course of the ureter was considered medialized if, in longitudinal and transversal section, any distance was detectable between the ureter and the cervix at the point where the ureter crosses the uterine artery. The primary end point was to determine sensitivity, specificity, and positive and negative predictive values of "ureteral medial deviation" diagnosed using TVS, in order to predict the need for ureterolysis. Our series included 88 women with a median age of 39 (interquartile range 33-43) years. Ureteral medialization showed a relatively low false-positive rate (10.9%), with a specificity of 89.1% (95% confidence interval [CI] 81.4%-96.7%) and a sensitivity of 86.6% (95% CI 80.3%-92.9%), along with a high positive predictive value of 93.3% (95% CI 88.4%-98.1%), and a lower negative predictive value of 79.1% (95% CI 69.8%-88.5%), respectively. This study introduced a new ultrasound sign with a high degree of accuracy to predict ureterolysis and this may have positive implications in the management and surgical planning of patients with ureteral endometriosis.

Digital Pathology in the Detection of Infectious Microorganisms: An Evaluation of Its Strengths and Weaknesses Across a Panel of Immunohistochemical and Histochemical Stains Routinely Used in Diagnostic Surgical Pathology.

The diagnosis of some infectious diseases requires their identification in tissue specimens. As institutions adopt digital pathology for primary diagnosis, the limits of microorganism detection from digital images must be delineated. To assess the reliability of microorganism detection from digitized images of histochemical and immunohistochemical stains commonly used in pathology. Original glass slides from 620 surgical pathology cases evaluated for the presence of infectious microorganisms were digitized. Immunohistochemical stains included those for herpes simplex virus (n = 100), cytomegalovirus (n = 100), Helicobacter pylori (n = 100), and spirochetes (n = 80). Histochemical stains included mucicarmine for Cryptococcus spp (n = 20), Grocott methenamine silver for fungi (n = 100), Giemsa for H pylori (n = 100), and Ziehl-Neelsen for acid-fast bacilli (n = 20). The original diagnosis based on the glass slides was regarded as the reference standard. Six pathologists reviewed the digital images. Digital review was generally associated with high (ie, ≥90%) specificity and positive predictive value owing to a low percentage of false positive reads, whereas a high percentage of false negatives contributed to low sensitivity and negative predictive value for many stains. Fleiss κ showed substantial interobserver agreement in the interpretation of Grocott methenamine silver and immunostains for herpes simplex virus, H pylori, and cytomegalovirus; moderate agreement for spirochete, Ziehl-Neelsen, and mucicarmine; and poor agreement for Giemsa. Digital immunohistochemistry generally outperforms histochemical stains for microorganism detection. Digital interpretation of Ziehl-Neelsen and mucicarmine stains is associated with low scores for interrater reliability, accuracy, sensitivity, and negative predictive value such that it should not substitute for conventional review of glass slides.