Gallium-68-DOTA-Tyr3-Octreotate (Ga-68-DOTATATE) positron emission tomography/computed tomography (PET/CT) has recently been shown to have utility for the localization of phosphaturic mesenchymal tumors (PMT) that cause tumor-induced osteomalacia (TIO), a rare renal phosphate-wasting disorder. The aim of this study was to evaluate the accuracy of Ga-68-DOTATATE PET/CT in localizing PMTs causing TIO and to compare its performance with other functional imaging modalities. Prospective recruitment and retrospective chart review of 30 patients with suspected TIO and evaluation with Ga-68-DOTATATE PET/CT between 2017 and 2023 were conducted at a tertiary medical center. True positive (TP) lesions were defined by histological confirmation of PMT. There were 22 TP lesions identified among 18 patients, with a mean SUVmax of 16.8 (±10.9). Sensitivity, specificity, and accuracy of Ga-68-DOTATATE PET/CT were 85.7%, 77.8%, and 83.3% on patient-based analysis, and 84.6%, 56.3%, and 73.8% on lesion-based analysis. Lesions such as subacute fractures, parathyroid adenomas, thymus uptake, vertebral hemangiomas, bone enchondromas, liver hemangiomas, and avascular necrosis were some of the pitfalls in interpretation. Ga-68-DOTATATE PET/CT led to a significant impact on clinical management in 24 (80%) of patients. The presence of DOTATATE-avid fractures was significantly associated with a localizing scan on univariable (OR 15.0, 95% CI 2.80-110, p = .001) and multivariable analysis (OR 9.45, 95% CI 1.33-98.4, p = .003). Ga-68-DOTATATE PET/CT has good accuracy for the localization of TIO, with superior sensitivity compared to F-18-FDG PET/CT. This significantly impacted clinical treatment decisions. Although DOTATATE-avid fractures may be a source of false positives, they may also indicate a higher probability of a localizing study.

Diagnosing cerebral amyloid angiopathy (CAA) after spontaneous lobar intracerebral hemorrhage has significant clinical implications. A previous postmortem study found that the presence of both subarachnoid hemorrhage (SAH) and hematoma finger-like projections (FLP) on acute-stage computed tomography strongly rules in CAA. In the present study, we assessed the diagnostic value of these imaging markers against histopathologic diagnosis in less severe presentations.

This retrospective (2002-2022) multicenter study included patients aged ≥45 years with lobar intracerebral hemorrhage of unknown cause, for whom acute-stage computed tomography or magnetic resonance imaging and neuropathological samples from hematoma evacuation or biopsy were available. Centralized consensus reading (2 raters) of imaging and neuropathological data (including Aβ immunohistochemistry) were performed. Analysis was restricted to samples containing at least 10 vessels. The diagnostic performance was evaluated against the neuropathological reference, that is, CAA/no CAA.

We analyzed data from 66 patients (age, 65±9 years; men, 33%; hematoma volume, 45±26 mL; death within 1 year, 14%) from 6 French centers. Neuropathological material included samples from hematoma evacuation (n=48) and biopsy (n=18). CAA was present in 38 patients (58%), and FLP and SAH were observed in 29 (44%) and 50 (76%) patients, respectively. FLP had a sensitivity of 0.58 (95% CI, 0.41-0.74) and a specificity of 0.74 (95% CI, 0.54-0.89) for the diagnosis of CAA. SAH demonstrated a high sensitivity of 0.92 (95% CI, 0.78-0.98; negative predictive value=0.80 [0.52-0.96]) but moderate specificity of 0.43 (95% CI, 0.24-0.63). The combined presence of FLP and SAH had a specificity of 0.54 (95% CI, 0.37-0.71) and a sensitivity of 0.79 (95% CI, 0.59-0.92).

This study is the first to evaluate the diagnostic performance of FLP and SAH with histopathologic reference in nonautopsied patients. The results suggest these markers have lower diagnostic performance than previously reported in severe hematomas leading to early death. However, the high sensitivity of SAH suggests its potential clinical utility in ruling out CAA when absent.

To develop a novel diagnostic electrocardiogram (ECG) score to improve the early detection of right atrial disease (RAD) in pediatric patients with congenital heart disease (CHD). We conducted a retrospective case-control study involving 219 pediatric patients aged 0 to 14 years with confirmed CHD and 1,418 controls without congenital disease. The ECG data were analyzed to identify specific criteria predictive of RAD. Receiver operating characteristic (ROC) curves and multivariate analyses were used to refine and develop a diagnostic score. Key variables assessed included right bundle branch block (RBBB), a pure R wave in V1, an initial q wave in V1, an S wave greater than the R wave in V6, and RV1 + SV6 ≥ 18 mm. The diagnostic score demonstrated robust performance. In children under 3 years, the score achieved an area under the curve (AUC) of 0.826 (95% CI: 0.779-0.879). A score of ≥ 2 had a sensitivity of 63.2% and specificity of 89.7%. For children aged 3 years and older, the score had an AUC of 0.817 (95% CI: 0.764-0.871), with a sensitivity of 48.67% and specificity of 98.1%. The CHILDHEART diagnostic score provides a practical and reliable tool for identifying RAD in pediatric patients using a standard 12-lead ECG. This score offers significant potential for early diagnosis and improved management of RAD in children, especially in clinical settings where advanced imaging modalities may not be readily available.

To determine the role of high-sensitive C-reactive protein (hsCRP) in predicting the severity of preeclampsia in a high-population, resource-poor country.

This prospective cohort study was conducted at the Department of Obstetrics and Gynaecology of Calcutta National Medical College, India, from March 2021 to September 2022. A total of 180 participants were divided into three equal groups: patients with severe preeclampsia and non-severe preeclampsia and healthy pregnant women.

The levels of the biomarkers hsCRP and uric acid differed significantly between women with preeclampsia and healthy women, with cutoff levels of 3.72 mg/L and 5.15mg/dL, respectively, as determined using receiver operating characteristic (ROC) curve analysis. HsCRP was also able to differentiate severe preeclampsia from non-severe preeclampsia at a cutoff level ≥8.75 mg/L (high Youden index >0.6). However, uric acid levels failed to discriminate between pregnant women with severe and non-severe preeclampsia. Elevated hsCRP levels were strongly associated with low birth weight of newborns in pregnant women with preeclampsia and healthy control groups (P=0.001) and with disease severity (P<0.001), respectively.

HsCRP can be used as an important diagnostic tool to exclude and evaluate the severity of preeclampsia.

Since the majority of vertebral compression fractures (VCFs) are asymptomatic, they often go undetected on opportunistic CT scans. To reduce rates of undiagnosed osteoporosis, we developed a deep learning (DL)-based algorithm using 2D/3D U-Nets convolutional neural networks to opportunistically screen for VCF on CT scans. This study aimed to evaluate the performance of the algorithm using external real-world data.

CT scans acquired for various indications other than a suspicion of VCF from January 2019 to August 2020 were retrospectively and consecutively collected. The algorithm was designed to label each vertebra, detect VCF, measure vertebral height loss (VHL) and calculate mean Hounsfield Units (mean HU) for vertebral bone attenuation. For the ground truth, two board-certified radiologists defined if VCF was present and performed the measurements. The algorithm analyzed the scans and the results were compared to the experts' assessments.

A total of 100 patients (mean age: 76.6 years ± 10.1[SD], 72% women) were evaluated. The overall labeling agreement was 94.9% (95%CI: 93.7%-95.9%). Regarding VHL, the 95% limits of agreement (LoA) between the algorithm and the radiologists was [-9.3, 8.6]; 94.1% of the differences lay within the radiologists' LoA and the intraclass correlation coefficient was 0.854 (95%CI: 0.822-0.881). For the mean HU, Pearson's correlation was 0.89 (95%CI: 0.84-0.92; p-value <0.0001). Finally, the algorithm's VCF screening sensitivity and specificity were 92.3% (95%CI: 81.5%-97.9%) and 91.7% (95%CI: 80.0%-97.7%), respectively.

This automated tool for screening and quantification of opportunistic VCF demonstrated high reliability and performance that may facilitate radiologists' task and improve opportunistic osteoporosis assessments.

Current nucleic acid amplification techniques for the diagnosis of pulmonary tuberculosis (TB) lack the simplicity and affordability of achieving the goals envisioned in the WHO END-TB strategy, particularly for low- and middle-income countries (LMICs). Here we report a cost-effective real-time LAMP (rt-LAMP) assay with high sensitivity for the early diagnosis of pulmonary TB. A sample size of 350 was calculated using Buderer's formula. The assay was validated in the laboratory using mpt64 cloned gene targets and clinical patient samples. The lower limit of detection for the rt-LAMP assay was observed as 10 copies/µl. Out of 350 suspected TB patient samples, 47 were positive for MGIT culture (microbiological reference standard, MRS), 42 were positive for Xpert MTB/RIF and 41 were positive for rt-LAMP assay. Compared to MRS, rt-LAMP showed a sensitivity of 89.36% (95% CI 76.9-96.45%) and a specificity of 94.06% (95% CI 90.77-96.44%). When compared to Xpert MTB/RIF, rt-LAMP showed a sensitivity of 93.33% (95% CI 83.80-98.15%), a specificity of 98.62% (95% CI 96.51-99.62%), negative predictive value of 98.62% (95% CI 96.52-99.47%), positive predictive value of 93.33% (95% CI 84.07-97.38%). Youden index value of rt-LAMP was 0.92 when compared with Xpert MTB/RIF, indicating a significantly low false positive rate. As the technology has been developed in an open platform, the assay will be useful in early diagnosis of pulmonary TB, particularly in screening large susceptible populations in LMICs.

Malaria rapid diagnostic tests (mRDTs) are commonly used for the diagnosis of malaria in resource-limited settings. However, the sensitivity of RDTs may vary depending on the brand. The aim of this study was to assess the diagnostic performance the SD Bioline Malaria Plasmodium falciparum antigen rapid diagnostic test (Ag P.f RDT) for the diagnosis of malaria in the Tombel Health District (THD). This was a cross-sectional community-based study targeting persons living within the THD from 30th April to 20th June 2023. A consecutive sampling technique was used to collect blood samples among 250 symptomatic and asymptomatic individuals and tested using the SD Bioline Malaria Ag P.f RDT and microscopy. Data was analysed using SPSS version 25.0. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated to assess the diagnostic accuracy of the RDT. Microscopy identified 133 (53.2%) symptomatic and asymptomatic participants with malaria and the mRDT identified 60 (24%) cases with 52 (20.8%) low parasites density and 8 (3.2%) moderate parasites density. The sensitivity of Malaria Ag P.f RDT was 45.0%, the test correctly identified 60 (45%) of true positive P. falciparium cases. The specificity of 100% showed that the test correctly identified all negative cases. PPV was 100%, there is a very high likelihood that all the positive cases are truly infected. The lower NPV of 61.5%, there is still a chance the negative cases might be infected. The Area Under the Curver (AUC) = 0.78 with moderate diagnostic suggesting that there is 22% chance that the test can produce a false positive result. The overall accuracy of mRDT in the THA is moderate. This level of accuracy may be acceptable in some contexts, but it is not ideal for a screening test, particularly for a disease like malaria that can have serious health consequences if left untreated.

Background: Early treatment of pulmonary embolism is associated with better outcomes, yet incidental PE (IPE) is frequently missed. This retrospective study aims to provide an independent assessment an artificial intelligence (AI) software, developed for flagging IPEs on CT scans. Methods: The study included consecutive CT examinations of 5042 unique patients (8 scanners and 3 protocols) acquired at a large NHS Trust between 01 January 2022 and 30 September 2022. Two radiologists blindly and independently reviewed the AI "positive" and a random selection of "negative" cases to establish the reference standard (n = 200). Discrepancies were adjudicated by a third radiologist. The clinical reports of the 200 cases were reviewed for comparison. Performance metrics for the software were calculated for the full (n = 5042) and reviewed (n = 200) cohorts separately. Results: Based on the reference standard, the IPE prevalence was 1.6% (81/5041). Across the reviewed cohort, the algorithm detected PE with a sensitivity of 96.4%, a specificity of 89.7%, a PPV of 87.1%, an NPV of 97.2%, and an accuracy of 92.5%. Across the full cohort, the algorithm exhibited a sensitivity of 96.4%, a specificity of 99.8%, a PPV of 87.1%, an NPV of 99.9%, and an accuracy of 99.7%. A review of the original clinical reports indicated that 11 cases of IPE were initially unreported. A total of 34 examinations were rejected by the software. While the scanner performed consistently across patient sexes and ethnicities, discrepancies were found among CT scanners. Conclusions: The AI software detected IPE with a high diagnostic accuracy on a large NHS dataset, showing that AI-supported reporting could improve diagnostic accuracy and reduce times to diagnosis.

Strongyloides stercoralis infection is a neglected tropical disease with a global distribution. Serodiagnosis is a sensitive method, but improving its performance and simplifying into a point-of-care test (POCT) are needed. This study aimed to improve the diagnostic performance of serological tests using partially purified Strongyloides ratti antigen in an enzyme-linked immunosorbent assay (ELISA) and an immunochromatographic test (ICT). Crude S. ratti antigen was purified by an IgG affinity column to partition the antigen into flow-through, washing fraction (WF), and elution fractions. Optimized ELISA and ICT using crude and antigen fractions were used to analyze sera from three groups of subjects. Group 1 comprised subjects with proven strongyloidiasis, Group 2 were subjects with other parasitic infections, and Group 3 were negative parasitic infections. The diagnostic performance and Kappa agreement of the serological tests were analyzed and compared, using larvae detection as the reference test (fecal examination). The results showed that the WF was the most efficient antigen in terms of sensitivity and specificity, as determined by the ELISA and ICT. Kappa's agreement between fecal examination and WF-ELISA was moderate (Kappa = 0.52), and WF-ICT was almost perfect (Kappa = 0.94). The WF antigen reduced cross-reactivity to other parasitic infections, that is, Opisthorchis viverrini, Taenia spp., and hookworms, compared to crude S. ratti antigen when assessed by ELISA and ICT. We concluded that the WF of purified S. ratti improved the ELISA and ICT diagnostic performance, and the latter assay format could be used as a POCT for screening and controlling strongyloidiasis.IMPORTANCEThis study aimed to improve the serological diagnosis of strongyloidiasis, a disease caused by infection with the intestinal nematode Strongyloides stercoralis, by evaluating the impact of Strongyloides ratti antigen purification using an IgG affinity column for detecting parasite-specific IgG in serum via enzyme-linked immunosorbent assay (ELISA) and immunochromatographic test (ICT) formats. Compared to crude S. ratti antigen, the washing fraction (WF) of the purified antigen demonstrated significantly improved sensitivity and specificity in both ELISA and ICT, achieving strong diagnostic concordance with the gold-standard fecal examination. Furthermore, the WF antigen fraction exhibited reduced cross-reactivity with coinfections caused by the liver fluke (Opisthorchis viverrini), tapeworms (Taenia spp.), and hookworms. These findings underscore antigen purification as a promising strategy to enhance the accuracy of strongyloidiasis serodiagnosis.

Endotracheal intubation and mechanical ventilation comprise common life support interventions for patients in intensive care units (ICUs). Premature or delayed extubation increases the risk of morbidity and mortality. Despite following weaning protocols, 10-20 % of patients fail extubation within 48 h. To improve extubation success, predictors such as the rapid shallow breathing index (RSBI-the ratio of respiratory rate to tidal volume) are needed. The current RSBI value (<105 breaths/min/L) comes from clinically outdated methods and small samples.

To identify the highest-performing RSBI threshold value associated with extubation success using current weaning protocols in a large sample of medical and surgical ICU patients.

Using secondary data from hospital records, receiver operating characteristic (ROC) analysis of the RSBI, measured immediately after a spontaneous breathing trial, was conducted for 1313 mechanically ventilated (≥ 48 h and ≤ 21 days) patients at one hospital in Saudi Arabia.

The sample of 61.5 % medical and 38.5 % surgical patients included 65 % males with a mean age of 53 years and an extubation failure rate of 12 %. Ideal RSBI threshold values differed by medical and surgical samples. For each sample, the area under the ROC curve approximated 0.5 for the RSBI, and multivariable logistic regression identified a unique set of physiologic parameters to predict successful extubation.

The RSBI alone demonstrated low diagnostic performance for predicting successful extubation using current weaning protocols. However, results suggest needed updates for RSBI threshold values in current weaning protocols to optimize RSBI use with other predictors for extubation success.

To evaluate the performance of Xpert MTB/RIF Ultra testing in urine samples as part of a TB screening strategy in patients with advanced HIV disease (AHD).

We conducted a multicentre prospective cohort study across three HIV reference hospitals in Brazil, between January and December 2023. The study included adult hospitalized patients with AHD, defined by a CD4 count of <200 cells/μL in the last 3 months or clinical presentation suggestive of opportunistic infection, without effective antiretroviral treatment. Participants underwent systematic tuberculosis (TB) screening using urine Xpert MTB/RIF Ultra and TB lipoarabinomannan (TB-LAM) tests. The diagnosis performance of urine Xpert MTB/RIF Ultra was assessed including sensitivity, specificity, and positive and negative predictive values. Disease characterization was based on the Global Tuberculosis Dictionary. Survival at 30 and 90 days was also evaluated.

Urine molecular testing was performed on 133 patients. Xpert MTB/RIF Ultra showed a sensitivity of 20.7% in bacteriologically confirmed TB cases and 21.2% in cases that included both clinically diagnosed and bacteriologically confirmed TB. The addition of urine Xpert MTB/RIF Ultra to TB-LAM led to the detection of three additional cases, representing a 6.3% increase from the 48 cases detected by TB-LAM. Xpert MTB/RIF Ultra had a specificity of 96.9% and no rifampicine resistance mutations were detected. Overall mortality was 16/133 (12.0%) at 30 days and 25/127 (19.7%) at 90 days.

There was a high overlap between urine TB-LAM and Xpert MTB/RIF Ultra results, with the addition of Xpert MTB/RIF providing limited additional benefit for TB screening in patients with AHD.

Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electrical and structural changes, notably low voltage areas (LVAs) which are associated with poor ablation outcomes and increased thromboembolic risk. This study aims to evaluate the efficacy of a deep learning model applied to 12‑lead ECGs for non-invasively predicting the presence of LVAs, potentially guiding pre-ablation strategies and improving patient outcomes.

A retrospective analysis was conducted on 204 AF patients, who underwent catheter ablation. Pre-procedural sinus rhythm ECGs and electroanatomical maps (EAM) were utilized alongside demographic data to train a deep learning model combining Long Short-Term Memory networks and Convolutional Neural Networks with a cross-attention layer. Model performance was evaluated using a 5-fold cross-validation strategy.

The model effectively identified the presence of LVA on the examined atrial walls, achieving accuracies of 78 % for both the anterior and posterior walls, and 82 % for the LA roof. Moreover, it accurately predicted the global left atrial (LA) average voltage <0.7 mV, with an accuracy of 88 %.

The study showcases the potential of deep learning applied to 12‑lead ECGs to effectively predict regional LVAs and global LA voltage in AF patients non-invasively. This model offers a promising tool for the pre-ablation assessment of atrial substrate, facilitating personalized therapeutic strategies and potentially enhancing ablation success rates.

To prospectively validate the diagnostic performance of a non-invasive point-of-care tool (Rapid IAI System), including vaginal alpha-fetoprotein and interleukin-6, to predict the occurrence of intra-amniotic inflammation in a Spanish cohort of patients admitted with a diagnosis of preterm labor and intact membranes.

From 2017 to 2022, we prospectively evaluated a cohort of pregnant women diagnosed with preterm labor and intact membranes admitted below 34+0 weeks who underwent amniocentesis to rule-in/out intra-amniotic infection and/or inflammation. Vaginal sampling was performed at the time of amniocentesis or within 24-48 h. Amniotic fluid IL-6, vaginal alpha-fetoprotein and vaginal IL-6 concentrations were measured using a point-of-care tool provided by Hologic Inc., "Rapid IAI System". We defined intra-amniotic inflammation when amniotic fluid IL-6 values were greater than 11.3 ng/mL. During recruitment, clinicians were blinded to the results of the point-of-care tool. The original prediction model proposed by Hologic Inc. to predict intra-amniotic inflammation was validated in this cohort of patients.

We included 151 patients diagnosed with preterm labor and intact membranes. Among these, 29 (19.2 %) had intra-amniotic inflammation. The algorithm including vaginal IL-6 and alpha-fetoprotein showed an area under curve to predict intra-amniotic inflammation of 80.3 % (±5.3 %) with a sensitivity of 72.4 %, specificity of 84.6 %, positive predictive valuve (PPV) of 52.5 %, negative predictive value (NPV) of 92.9 %, and a positive likelihood ratio (LR+) of 4.6 and negative likelihood ratio (LR-) of 0.33.

External validation of a non-invasive rapid point-of-care tool, including vaginal alpha-fetoprotein and IL-6, showed very good diagnostic performance for predicting the absence of intra-amniotic inflammation in women with preterm labor and intact membranes.

Intracranial atherosclerotic stenosis (ICAS) refers to a narrowing of intracranial arteries due to plaque buildup on the inside of the vessel walls restricting blood flow. Early detection of ICAS is crucial to prevent serious consequences such as stroke. Here we apply three different machine learning methods, such as support vector machines, multi-layer perceptrons and Kolmogorov-Arnold Networks to predict ICAS according to sparse risk factors from blood lipids and demographic data, including smoking habits, age, sex, diabetes, blood pressure lowering and cholesterol-lowering drugs and high-density lipoprotein. We achieved similar performance on classification compared to modern detection algorithms for ICAS in TOF-MRA (time-of-flight magnetic resonance angiography). The prevalence of ICAS in the population is relatively low, which is often case in medicine. While in the medical research community, the issue of low prevalence is established, machine learning-based research in medicine often does not take into account a critical viewpoint of the prevalence in clinical settings of their methods. We showed that with a balanced training/test set an accuracy up to 81% was achievable, while with the inclusion of prevalence, the positive predictive value was at 19% to the prevalence data, changes the performance metrics. Therefore, we highlighted the discrepancy that can arise between the results reported by the models and their clinical relevance. Furthermore, the results demonstrate the predictive potential of limited risk factors, highlighting its potential contribution to a multi-modular classification algorithm based on MRAs.

To evaluate the diagnostic accuracy of anti-Mycobacterial Protein 51 (MPT51) antibodies in latent Tuberculosis (TB) detection among asymptomatic Human Immune Virus (HIV) positive individuals using Interferon Gamma Release Assay (IGRA) (QuantiFERON-TB Gold Plus) as the gold standard and determine the factors associated with anti-MPT51 antibody positivity among asymptomatic HIV positive individuals.

Considering QuantiFERON-TB Gold Plus as the gold standard, antibody reactivity to MPT51 revealed sensitivity of 32.6% (95% CI 24.5-40.6), specificity of 56.1% (95% CI 47.6-64.6), positive predictive value of 61.7% (95% CI 53.4-70.1) and negative predictive value of 27.7% (95% CI 20-35.4). Among the factors tested, none was independently associated with an increased risk of antibody reactivity against MPT51.

Misdiagnosis of bipolar disorder (BD) can lead to ineffective treatment, increased risk of manic episodes, and increased severity. Objective diagnostic tests or precise tools to diagnose BD and distinguish it from major depressive disorder (MDD) in depressed patients are lacking.

To assess the external diagnostic validity of a blood-based test using an RNA epigenetic signature for the differential diagnosis of BD versus MDD in patients with depression.

Multicentre cross-sectional study including an adult sample of inpatients or outpatients diagnosed with BD or MDD, currently treated for a major depressive episode. A structured diagnostic interview based on validated scales will be conducted. Sociodemographic variables, clinical history, toxic consumption, current treatment and quality of life will be assessed. Blood samples will be obtained and stored at -80 °C until RNA sequencing analysis. The EDIT-B is a blood-based test that combines RNA editing biomarkers and individual data (e.g., age, sex, and tobacco consumption). The clinical validation performance of the EDIT-B will be evaluated using the area under the curve, sensitivity, specificity, positive and negative predictive values, and likelihood ratios.

The principles of the Declaration of Helsinki 2013, precision psychiatry research and good clinical practice will be followed. The Research Ethics Committees of the participating centres approved the study. Participants will receive an information sheet and must sign the informed consent before the interview. Participants' data will be pseudonymized at the research sites. Any publication will use fully anonymized data. Publications with the final study results will be disseminated in international peer-reviewed journals and presented at international conferences.

This study has been registered on clinicaltrials.gov (NCT05603819). Registration date: 28-10-2022.

Patient fall risk assessment in the emergency department poses a unique challenge as fall risk is often associated with risk factors other than inpatient falls. While there are many inpatient fall risk assessment tools, few have been used or validated in the ED environment. Therefore, this study examined the predictive performance of the KINDER 1 Fall Risk Assessment Tool in 10 emergency departments.

A retrospective cohort design was used. Data were collected from November 15, 2023, to April 30, 2024, as a part of an electronic pilot of the KINDER 1 Fall Risk Assessment tool. Inclusion criteria encompassed all adult (≥18 years) ED visits during which a KINDER 1 fall risk assessment was completed. Descriptive statistics were used to describe overall sample characteristics. Predictive performance was calculated via multiple accuracy measurements.

KINDER 1 assessments were completed on 64,811 patients, of which 40 patient falls met inclusion criteria for final analysis. The mean age of the patients who fell was 58.46 years (±18.38). Final sensitivity was 77.5%, and the specificity was 75.8%. Fall prevalence was 0.06%.

KINDER 1 exhibited a sufficiently high degree of sensitivity and specificity, supporting an acceptable level of predictive performance. Additional research is recommended to compare the reliability and predictive validity of KINDER 1 to the emergency Hester Davis Scale and the Memorial Emergency Department Fall Risk Assessment Tool, as well as to compare the usability of the tools for nurses in a triage setting.

To determine the validity of a screening algorithm based on combination of clinical examination and pulse oximetry, for early detection of congenital heart disease (CHD) in term newborns. CHD is the most frequent major congenital anomaly, with prevalence of 6-12 per 1000 live births. Clinical examination alone may fail to detect CHD in more than 50% of affected newborns. Recent studies have concluded that pulse oximetry has a high sensitivity and specificity as a screening tool for critical CHD.

JSS Hospital, Mysuru, Karnataka, India.

In this prospective observational study, all term neonates delivered at the hospital were included. The screening algorithm consisted of seven clinical parameters and pulse oximetry screening guidelines recommended by the American Academy of Paediatrics. Term newborns with the presence of any one of the above parameters in the algorithm were considered screen-positive. Echocardiography was done in all screen positives. Newborns were classified into those with and without CHD, based on echocardiography findings at birth and clinical examination and echocardiography findings at follow-up at 6 weeks.

Among 1009 term neonates included in the study, CHD was detected in 57 (5.6%) with cyanotic CHD in 12. The sensitivity and specificity of combined screening to detect CHD was 71.93% and 95.8%, respectively. The positive predictive value was 50.62% and the negative predictive value was 98.28%.

Screening for CHD with a simple comprehensive algorithm, integrating clinical evaluation and pulse oximetry, has moderate sensitivity and high specificity in detecting CHD in term newborns. Further work is needed to evaluate this form of screening.

Smooth pursuit eye movements may be affected by head impacts. The EyeGuide Focus system is a simple, portable, test of visual tracking. This study investigated the diagnostic accuracy of EyeGuide measurements for detection of concussion during elite Rugby matches.

A prospective diagnostic case-control study was performed in the elite 2021/2022 United Rugby Championship competition. The study population comprised consecutive players identified with match-related head impact events during the World Rugby Head Injury Assessment process, randomly chosen uninjured players, and players with match-related musculoskeletal injuries. The index test was blinded EyeGuide assessment performed by independent assessors. The reference standard was concussion diagnosed by the team doctor. Distributions of EyeGuide scores were compared between concussed and non-concussed players and receiver operator characteristic curves constructed.

EyeGuide testing was performed in 262 cases, comprising 55 concussed players and 207 non concussed players (33 head impact events, 97 uninjured controls, and 79 musculoskeletal injury controls). The distributions of EyeGuide score were similar between concussed and non-concussed cases (medians 20,120 Vs 21,522, p = 0.3; difference -1,402, 95% CI -5,332-3,865). The c-index for the receiver operating characteristic curve was 0.46 (95% CI 0.36-0.55).

EyeGuide Focus scores did not appear to discriminate between concussed and non-concussed players in a cohort of elite Rugby players.

Chronic kidney disease (CKD) is a major public health concern, and early detection is crucial to prevent adverse outcomes. Albuminuria is an early marker and key prognostic marker in CKD, but reliable tools for its detection are limited particularly in low resource settings. We tested the utility of a novel, affordable point-of-care test (POCT) for albuminuria among high-risk individuals for CKD.

This is a community-based cross-sectional study covering 17 primary subdistrict healthcare units in Ban Phaeo District, Samut Sakhon Province, Thailand. The inclusion criteria were asymptomatic adult participants diagnosed with hypertension, diabetes and/or aged over 60 years. We measured serum creatinine and quantitative urine albumin-creatinine ratio (UACR) and administered POCT urine albumin strip test (Albii, K. BioSciences, Bangkok, Thailand) and urine dipstick test for protein. Participants with albuminuria or estimated glomerular filtration rate (eGFR) by CKD-EPI 2009 equation <60 mL/min/1.73 m2 were considered to have suspected CKD. We evaluated diagnostic performance of POCT urine albumin strip.

Among 2307 participants, 489 (20.3%) participants had reduced eGFR and/or albuminuria. The median eGFR was 93.23 (87.82, 98.73) mL/min/m2, and the median UACR was 9.15 (5.09, 20.96) mg/g. The POCT urine albumin strip showed a sensitivity of 0.70, specificity of 0.97 and accuracy of 0.92 compared with the quantitative UACR. Conversely, the POCT urine dipstick for protein had poor sensitivity, positive predictive value and accuracy.

The urine albumin test strip is a highly effective tool to conduct point-of-care identification for early CKD among high-risk populations. Given the test's diagnostic performance and ease of use, such test should be incorporated into health policy.

The initial 24-h period following admission to a hospital holds profound significance for pediatric patients, representing a critical window where proactive interventions can substantially influence outcomes. We devised a simple triage system, pediatric simple triage score (PSTS), to see whether rapid triage of sick pediatric patients with fever can be done using the new triage system in the emergency department (ED) to predict hospital admission.

This was a prospective observational study, conducted at the department of emergency medicine of a tertiary care teaching hospital in southern India. A prospective cohort of children presenting to the ED underwent assessment for temperature, oxygen saturation (SpO2), pulse rate, respiratory rate, sensorium, and hydration status. Sensorium was evaluated based on criteria such as poor cry, poor feeding, or decreased activity, while hydration status was assessed using indicators such as decreased urine output, dry mucous membranes, or reduced skin turgor. Subsequently, participants were triaged according to the National Institute for Health and Care Excellence (NICE) guidelines. We then monitored the admission outcomes, whether they were admitted to the intensive care unit (ICU), the ward, or discharged, based on clinical decisions made by the pediatric consultant.

In this study involving 350 participants, the mean age was found to be 2.72 years (standard deviation [SD] ±1.78), with a range from 29 days to 5 years. The study population consisted of 60.86% males with a total of 213 patients. Examining vital signs, the mean heart rate was 135.07 beats/min (SD ± 21.58), with a range of 82-200 beats/min. The mean temperature was 37.57°C (SD ± 0.52), with values ranging from 36.80°C to 39.20°C. The mean respiratory rate was 36.28 breaths/min (SD ± 14.06), varying from 20 to 90 breaths/min. SpO2 averaged at 96.31% (SD ± 3.64), with values ranging between 70% and 100%. Abnormal sensorium was observed in 10.86% of the participants, while seizures were reported in 2.57%. Dehydration was present in 3.71% of the study population. Among the study participants, 24.57% were admitted to the ICU, 30.57% to the ward, and 44.86% were treated as outpatients. According to PSTS, 192 (54.86%) participants were triaged to green, 119 (34%) participants to yellow, and 39 (11.14%) participants to red. The PSTS demonstrated a sensitivity of 59.59% and a specificity of 72.61% in predicting hospital admission. The NICE triage system had a sensitivity of 80.31%, in predicting the admission (either ward/ICU), with a specificity of 72.61%.

The PSTS demonstrated fair agreement with the NICE; it exhibited lower sensitivity and positive predictive value. However, the simplicity of the new system renders it potentially useful, especially in resource-limited settings.

This study aimed to demonstrate the effectiveness of our new diagnostic chart using point of care ultrasound combined with CTS-6 for diagnosing idiopathic carpal tunnel syndrome.

We conducted a retrospective analysis of the data of patients who visited our department and received point of care ultrasound combined with CTS-6 from 2020 to 2023. Data regarding age, sex, initial and final diagnosis, cross-sectional area of the median nerve, CTS-6 score, and electrodiagnostic severity were obtained and statistically analyzed.

Of the 177 wrists included in our study, 138 (78 %) were diagnosed with carpal tunnel syndrome, while 39 (22 %) were not (non-carpal tunnel syndrome). With our diagnostic method, 127 wrists (72 %) were diagnosed initially with carpal tunnel syndrome, 23 wrists (13 %) with non-carpal tunnel syndrome, and the rest 27 wrists (15 %) as borderline. Our initial diagnoses of carpal tunnel syndrome and non-carpal tunnel syndrome were maintained in all cases except for two. Cross-sectional area, CTS-6 score, and electrodiagnostic severity showed a positive correlation. A post hoc analysis showed that the new scoring system (CTS-6 score + 2 × cross-sectional area) with a cutoff value of 31.25 points showed a sensitivity as high as 95 % and a specificity of 100 %.

Our findings suggest that most suspected idiopathic carpal tunnel syndrome cases can be diagnosed correctly using the diagnostic chart. Although additional tools, including electrodiagnostic studies, may be needed for borderline cases, the use of point of care ultrasound combined with CTS-6 may be a recommendable first-line confirmatory test because point of care ultrasound and CTS-6 could be complementary tools, and this chart may be especially beneficial for atypical or outlier cases.

Diagnostic III.

Background: The methicillin-resistant Staphylococcus aureus (MRSA) accounts for 20% to 40% of all hospital-acquired pneumonia (HAP) cases with mortality rates up to 55%. Prompt and accurate diagnosis is essential, especially in intensive care unit (ICU) patients. Nasal MRSA polymerase chain reaction (PCR) diagnostic utility evidence is conflicting in the literature for HAP due to a low number of HAP patients included in prior studies or due to the lack of high-yield gold standard cultures defined for comparisons. Methods: This was a retrospective cohort study conducted in a 65-bed medical ICU, and encompassing all adult patients admitted from January 2015 to March 2023 for HAP. Respiratory cultures included were those obtained by bronchoalveolar lavage or endotracheal suction within 7 days of nasal MRSA PCR testing. Results: The study included 412 patients; 56.8% were males and 65% were Whites. The mean age was 60.5 years. Most patients (82.5%) underwent MRSA-PCR before intubation, and the average time between MRSA-PCR and lower respiratory cultures was 2.15 days. The diagnostic performance of nasal MRSA PCR in diagnosing HAP in the ICU yielded a sensitivity (Sen) of 47.83%, specificity (Sp) of 92.29%, positive predictive value (PPV) of 26.83%, and negative predictive value (NPV) of 96.77%. For nonventilator HAP (nv-HAP) cases sensitivity was at 50%, specificity 92.83%, PPV 28.57%, and NPV at 97.00%. In ventilator-acquired pneumonia (VAP-HAP), the corresponding values were 42.86%, 90.91%, 23.08%, and 96.15%, respectively. Conclusion: The nasal MRSA PCR shows a high NPV and low false negative rate, suggesting it is a reliable tool for ruling out MRSA HAP in ICU patients. Care should be taken into account for disease prevalence and clinical context, as these factors may influence test performance. Further validation through prospective large-sample studies utilizing high-yield lower respiratory tract cultures is necessary to confirm our findings.

 Differentiating acute heart failure (AHF) from chronic obstructive pulmonary disease (COPD) or asthma is essential for prompt and appropriate treatment in patients presenting with acute shortness of breath in the emergency department (ED).

 This study aimed to evaluate the diagnostic accuracy of bedside lung ultrasound, N-terminal pro-brain natriuretic peptide (NT-proBNP) level, and clinical criteria (using the modified Boston criteria) for differentiating AHF from COPD/asthma.

 This prospective cohort study was conducted in the Emergency Medicine Department of the All India Institute of Medical Sciences, Rishikesh, from June 2023 to December 2023. Patients presenting with acute shortness of breath were managed using clinical assessment (according to modified Boston criteria), lung ultrasound, and NT-proBNP measurements.

 Out of 104 patients, 45 were diagnosed with AHF, and 59 had pulmonary-related causes of shortness of breath. Lung ultrasound demonstrated a sensitivity of 100%, specificity of 62.3%, negative predictive value (NPV) of 100%, and positive predictive value (PPV) of 65.15% for diagnosing heart failure. NT-proBNP, with a cutoff value of 500 pg/mL, showed 100% sensitivity, 91.8% specificity, 100% NPV, and 89.58% PPV. The Boston modified criteria had a sensitivity of 76.74%, specificity of 88.52%, NPV of 84.38%, and PPV of 82.5%. A comparison of these three diagnostic methods revealed significant differences between the ultrasound findings and both NT-proBNP and modified Boston criteria (p < 0.05). The combination of ultrasound signs and NT-proBNP yielded 100% sensitivity, specificity, NPV, and PPV.

 The integration of lung ultrasound, NT-proBNP level, and clinical criteria provides a reliable and rapid approach for differentiating AHF from COPD/asthma in the ED.

Lung cancer screening (LCS) has the potential to reduce mortality and detect lung cancer at its early stages, but the high false-positive rate associated with low-dose computed tomography (LDCT) for LCS acts as a barrier to its widespread adoption. This study aims to develop computable phenotype (CP) algorithms on the basis of electronic health records (EHRs) to identify individual's eligibility for LCS, thereby enhancing LCS utilization in real-world settings.

The study cohort included 5,778 individuals who underwent LDCT for LCS from 2012 to 2022, as recorded in the University of Florida Health Integrated Data Repository. CP rules derived from LCS guidelines were used to identify potential candidates, incorporating both structured EHR and clinical notes analyzed via natural language processing. We then conducted manual reviews of 453 randomly selected charts to refine and validate these rules, assessing CP performance using metrics, for example, F1 score, specificity, and sensitivity.

We developed an optimal CP rule that integrates both structured and unstructured data, adhering to the US Preventive Services Task Force 2013 and 2020 guidelines. This rule focuses on age (55-80 years for 2013 and 50-80 years for 2020), smoking status (current, former, and others), and pack-years (≥30 for 2013 and ≥20 for 2020), achieving F1 scores of 0.75 and 0.84 for the respective guidelines. Including unstructured data improved the F1 score performance by up to 9.2% for 2013 and 12.9% for 2020, compared with using structured data alone.

Our findings underscore the critical need for improved documentation of smoking information in EHRs, demonstrate the value of artificial intelligence techniques in enhancing CP performance, and confirm the effectiveness of EHR-based CP in identifying LCS-eligible individuals. This supports its potential to aid clinical decision making and optimize patient care.

Trypanosoma cruzi is a protozoan parasite which causes Chagas disease. Mother-to-child transmission is the main route of transmission in vector-free areas. Congenital Chagas disease refers specifically to cases arising from this route of transmission. This work evaluates the clinical sensitivity of two qPCR techniques for diagnosis of congenital Chagas disease.

The study was developed in the National Institute of parasitology (NIP), Argentina, and Pan-American Health Organization/ Word Health Organization Collaborating Center for Chagas Disease. Between July 2014 and May 2018, a prospective cohort study was carried out with 499 children born to seropositive for T. cruzi infection included. The performance of qPCR techniques was compared with the gold standard diagnostic algorithm for Congenital Chagas disease (CCD-GS), which comprises performing more than one parasitological test on children from birth until nine months of age, and serology from ten months of age.

Of the 961 babies born to women seropositive for Chagas disease who were attended at the NIP laboratory, 462 did not meet the study inclusion criteria; 22 cases were diagnosed with congenital Chagas disease. qPCR showed 100% clinical sensitivity and 98 to 100% clinical specificity for the diagnosis of congenital Chagas disease compared with CCD-GS algorithm.

The results obtained in this study demonstrate the clinical accuracy and effectiveness of qPCR SatDNA and qPCR kDNA for diagnosis of congenital Chagas disease. It could be a powerful tool for chagas test and treat strategies to reduce late complications of the disease.

This work was financed by the INP Dr. Mario Fatala Chaben, ANLIS Dr. Carlos G. Malbran.

Background: The accurate staging of liver fibrosis is crucial for managing chronic liver disease (CLD). Although magnetic resonance elastography (MRE) is the reference standard for noninvasive fibrosis assessment, its cost, specialized hardware, and operational demands restrict accessibility. In contrast, two-dimensional shear-wave elastography (2D-SWE) is more affordable, accessible, and widely integrated into routine ultrasound systems. Objective: Our aim was to determine the optimal 2D-SWE cut-offs for detecting significant fibrosis (≥F2) and evaluate its diagnostic performance across fibrosis stages. Methods: In this prospective study, 71 patients with suspected CLD underwent same-day MRE and 2D-SWE. MRE-defined cut-offs categorized fibrosis stages (≥3.5 kPa for significant fibrosis). Sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and likelihood ratios were calculated for various 2D-SWE thresholds. Results: At a 2D-SWE cut-off of 7.0 kPa, sensitivity for detecting ≥F2 fibrosis was 100% with a specificity of 85.7% and a positive likelihood ratio (LR+) of 7.0. Increasing the threshold to 8.0 kPa improved specificity to 91.8% while maintaining a sensitivity of 86.4% and achieving an AUROC of 0.89. For cirrhosis, a cut-off of 11.0 kPa achieved 100% sensitivity and 96.9% specificity. A 5.0 kPa cut-off reliably excluded abnormal stiffness with 89.1% sensitivity. Conclusions: Two-dimensional SWE is a reliable method for staging liver fibrosis. Thresholds of 7.0 kPa for screening significant fibrosis, 8.0 kPa for confirmation, and 11.0 kPa for diagnosing cirrhosis demonstrate high diagnostic accuracy. A 5.0 kPa cut-off effectively excludes abnormal liver stiffness.

The aim of the study is to test the null hypothesis that the specificities and sensitivities of the p-value-based significance test for differences between baseline variables and the I2 test for single trials do not significantly differ in detecting selection bias in randomised controlled trials (RCTs).

In MS Excel (Microsoft Corp., Redmond, WA, US), 100 trials were simulated, each consisting of two treatment groups (A and B), with 100 subjects in each group. Fifty trials were biased, while 50 remained non-biased. Both tests were applied to all trials, yielding true positive, false positive, false negative, and true negative per test. Subsequently, sensitivities and specificities with a 95% confidence interval (CI) were calculated and statistically compared using the z-test.

 No false positive results were observed, and subsequently, the specificities of both tests were identical (100.00%; 95% CI: 92.89%-100.00%). The sensitivity for the significance test and I2 test was 24.00% (95% CI: 13.06%-38.17%) and 76.00% (95% CI: 61.83%-86.94%), respectively. A statistical comparison of the test sensitivities yielded a significant result in favour of the I2 test (z = 5.2; p < 0.0001). Consequently, the null hypothesis for the tests' sensitivities was rejected.

The I2 test appears to be a more effective method than the p-value-based significance test for detecting selection bias in RCTs.

Breath testing for small intestinal bacterial overgrowth (SIBO) is typically performed using clinic-based equipment or single-use test kits.

This study aimed to evaluate the utility of a portable, point-of-care breath analysis device (AIRE®, FoodMarble) in patients suspected to have SIBO. A technical assessment including a comparison to existing mail-in kits was first performed. Then, postprandial breath hydrogen levels of patients before and after antibiotic treatment were gathered and compared to levels seen in a healthy cohort.

For the comparison, 50 patients suspected of having SIBO were provided with an AIRE device and performed concurrent LHBTs at-home with a mail-in breath test kit. For the postprandial analysis, twenty-four patients with chronic GI symptoms measured their postprandial hydrogen for 7 days prior to antibiotic treatment and for 7 days after treatment. 10 healthy controls also measured their postprandial hydrogen for 7 days.

Substantial agreement was demonstrated between AIRE and the mail-in kits for the performance of lactulose hydrogen breath tests (κ = 0.8). Prior to treatment, patients had significantly greater daily postprandial hydrogen than healthy controls (p < 0.001). The mean postprandial hydrogen of patients reduced significantly after treatment (p < 0.001).

Measuring postprandial hydrogen shows potential as a means of differentiating patients with chronic GI symptoms from healthy controls and may be useful in monitoring patients before, during, and after treatment. Future studies could help determine if pre-treatment breath gas levels are predictive of response to antibiotic treatment.

There is limited evidence on point-of-care ultrasound for tuberculosis (TB), but studies suggest high sensitivity, especially for lung ultrasound (LUS). However, insufficient data are available on specificity of the examination and its generalizability to a broader patient population.

Our study aimed to establish accuracy for lung, chest, and abdominal ultrasound, individually and in combination, for TB diagnosis.

We conducted a prospective diagnostic accuracy study among consecutive adult out- and inpatients with probable TB in three German referral hospitals. We applied a comprehensive standardized ultrasound protocol. TB diagnosis was established by a microbiological reference standard including polymerase chain reaction and culture.

A total of 102 participants originating from 30 different countries were enrolled. HIV prevalence was 7/99 (7%) and 73/102 (72%) had confirmed TB. TB was limited to the lungs in 15/34 (44%) of refugees and 27/39 (69%) in nonrefugees. Focused assessment with sonography for HIV-associated tuberculosis had a sensitivity of 40% (95% confidence interval [CI], 30-52) and specificity of 55% (95% CI, 38-72). Additional findings, such as small subpleural consolidations on LUS had a high sensitivity (88%; 95% CI, 78-93), but a low specificity (17%; 95% CI, 8-35). Larger consolidations in the lung apices had a sensitivity of 19% (95% CI, 12-30) and a specificity of 97% (95% CI, 83-100).

Our study establishes the first data on LUS performance against a comprehensive reference standard. Overall, our data suggest that ultrasound does not meet the requirements for triage but previously described and novel ultrasound targets in combination could aid in the clinical decision making.Registry: DRKS00026636.

Microwave imaging presents several potential advantages including its non-ionising and harmless nature. This open, multicentric, interventional, prospective, non-randomised trial aims to validate MammoWave's artificial intelligence (AI)-based classification algorithm, leveraging microwave imaging, to achieve a sensitivity exceeding 75% and a specificity exceeding 90% in breast screening.

10 000 volunteers undergoing regular mammographic breast cancer screening will be recruited across 9 European centres and invited to participate in the clinical study, involving MammoWave testing on both breasts. MammoWave results will be checked against the reference standard, to be intended as the output of conventional breast examination path (with histological confirmation of cancer cases) with 2 years follow-up. Anonymised clinical and MammoWave's results, including microwave images, associated features and a label provided by the AI-based classification algorithm, will be collected and stored in a dedicated electronic case report form. The prospective study will involve a comparative analysis between the output of the conventional breast examination path (control intervention) and the labels provided by MammoWave's AI system (experimental intervention). These labels will categorise breasts into two groups: breast With Suspicious Finding, indicating the presence of a suspicious lesion or No Suspicious Finding, indicating the absence of a lesion or the presence of a low-suspicion lesion. This trial aims to provide evidence regarding the novel MammoWave's AI system for detecting breast cancer in asymptomatic populations during screening.

This study was approved by the Research Ethics Committee of the Liguria Region (CET), Italy (CET-Liguria: 524/2023-DB id 13399), the Research Ethics Committee of Complejo Hospitalario de Toledo (CEIC), Spain (CEIC-1094), the National Ethics Committee for Clinical Research (CEIC), Portugal (CEIC-2311KC814), the Bioethical Committee of Pomeranian Medical University in Szczecin, Poland (KB-006/23/2024) and the Zurich Cantonal Ethics Commission, Switzerland (BASEC 2023-D0101). The findings of this study will be disseminated through academic and scientific conferences as well as peer-reviewed journals.

NCT06291896.

The low specificity of Ebola virus disease clinical signs increases the risk for nosocomial transmission to patients and healthcare workers during outbreaks. Reducing this risk requires identifying patients with a high likelihood of Ebola virus infection. Analyses of retrospective data from patients suspected of having Ebola virus infection identified 13 strong predictors and time from disease onset as constituents of a prediction score for Ebola virus disease. We also noted 4 highly predictive variables that could distinguish patients at high risk for infection, independent of their scores. External validation of this algorithm on retrospective data revealed the probability of infection continuously increased with the score.

Accurate identification of eosinophilic chronic rhinosinusitis is essentialg because its treatment and prognosis substantially differ from other subtypes.

This retrospective observational study included 640 patients who underwent endoscopic sinus surgery for chronic rhinosinusitis in a single tertiary center from January 2021 to December 2022. Receiver operating characteristic curves were generated to compare accuracy, sensitivity, specificity of the novel scoring system, and previous diagnostic criteria (Japanese Epidemiological Survey of Refractory Eosinophilic Chronic Rhinosinusitis, European Forum for Research and Education in Allergy and Airway Diseases, European Position Paper on Rhinosinusitis and Nasal Polyps, and Sakuma et al.) for predicting eosinophilic chronic rhinosinusitis (ECRS) by tissue eosinophil count ≥70 per high power field.

Patients were randomly divided into estimation (n = 430) and validation (n = 210) groups. The area under the receiver operating characteristic curve for the novel score was 0.753 (95% confidence interval [CI], 0.670-0.835) in the estimation group, 0.729 (0.629-0.830) in the validation group, and 0.661 (0.584-0.738) in the 20-fold cross-validation with the entire dataset.

We propose a novel scoring system that incorporates three key parameters: "novel score = blood eosinophil (%) + total Lund-Mackay score of anterior ethmoid sinuses + 2 if nasal polyp present" greater than 7 can be reliably used for diagnosing ECRS. This system can facilitate decision-making processes regarding the administration of oral steroids and biologics targeting type 2 inflammation prior to surgical intervention.

To determine the diagnostic accuracy of virtual autopsy using whole-body postmortem ultra-high field magnetic resonance imaging (MRI) at 7 Tesla (T), using a short T2-weighted imaging (T2-WI) protocol, compared with classical autopsy, for detecting structural abnormalities in small second-trimester fetuses.

Thirty consecutive fetuses at 13-19 weeks' gestation (weight, 17-364 g) were included following spontaneous pregnancy loss or termination of pregnancy. After fixation in 10% formaldehyde solution (48 h to 1 week), all fetuses were scanned using a two-dimensional turbo high-resolution T2-WI protocol with multislice relaxation time, followed by an invasive autopsy. The diagnostic accuracy of virtual autopsy vs classical autopsy was calculated for 990 anatomical structures (30 fetuses × 33 items). Sensitivity, specificity, positive and negative predictive values and Cohen's κ coefficient of agreement, with their 95% CIs, as well as the McNemar test, were used to evaluate the accuracy and agreement of the two diagnostic methods. Analysis was stratified by anatomical segment (nervous, pulmonary, cardiovascular, digestive, renal, facial and skeletal) and across three gestational-age intervals (13-14, 15-16 and 17-19 weeks).

Considering classical autopsy as the gold standard, virtual autopsy had a sensitivity of 92.04% (95% CI, 85.42-96.29%) and a specificity of 97.87% (95% CI, 94.64-99.42%), with a positive predictive value of 96.30% (95% CI, 90.78-98.56%) and a negative predictive value of 95.34% (95% CI, 91.61-97.45%), achieving a diagnostic accuracy of 95.68% (95% CI, 92.73-97.68%) for detecting structural abnormalities in second-trimester fetuses. Cohen's κ for virtual vs classical autopsy was 0.907. The diagnostic ability of virtual autopsy at 7 T for malformed fetuses was superior to that of classical autopsy for analyzing the nervous system in small fetuses with pronounced autolysis, equivalent to that of classical autopsy when analyzing pulmonary, cardiovascular and renal systems and inferior when evaluating the fetal intestines. The sensitivity of virtual autopsy at 7 T for describing structural abnormalities increased with gestational age.

Virtual fetal autopsy using 7-T MRI and a turbo high-resolution T2-WI protocol with multislice relaxation time is a feasible postmortem diagnostic tool for the identification of fetal structural anomalies. © 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

There is a gap in tools specifically designed for assessing Intellectual Disability (ID) in Indian settings. To address this, the NIMHANS intellectual disability screening instrument (NID-Screener) was developed by the Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro Sciences.

Ten non experts/language and ten experts rated face and content validity of NID-Screener respectively. Content validity was measured by Content Validity Ratio, Content Validity Indices (I-CVI, S-CVI) and Modified Kappa statistics. Construct validity was calculated by performing Exploratory Factor Analysis(EFA) on responses from 275 parent(s)/guardian(s) of children and adolescents (6-17 years). Criterion Validity was tested against Brief Intellectual Disability Scale (BIDS) and Clinical Diagnosis by Child and Adolescent Psychiatrist. Kappa Statistics was used to calculate inter - method and inter-Rater Reliability. Cronbach's alpha was used to assess Internal Consistency. This study was approved by NIMHANS ethics committee.

Findings revealed that NID-Screener has good face and content validity (S-CVI/Average = 0.917). Criterion Validity was excellent (Kappa Value=0.862, p-value<0.001) when compared with BIDS. Sensitivity and specificity were found to be 84.7 %, 89 % respectively against Clinical Diagnosis. On EFA, only one underlying factor with Eigen value > 1 was identified (55.8 % of total variance). Kappa value was found to be 0.971 and 0.942 for inter- rater and inter -method reliability respectively(p-value<0.001). NID-Screener has good internal consistency [Cronbach's alpha = 0.841].

NID-Screener is a reliable and valid tool for screening ID among children and adolescents in India, facilitating its early detection through diagnostic assessments and subsequent interventions.

The emergence of the mobilized colistin resistance 1 (mcr-1) gene, which causes colistin resistance, is a serious concern in animal husbandry, particularly in pigs. Although antibiotic regulations in many countries have prohibited the use of colistin in livestock, the persistence and dissemination of this plasmid-mediated gene require effective and rapid monitoring. Therefore, a rapid, sensitive, and specific method combining recombinase polymerase amplification (RPA) with an in-house lateral flow assay (LFA) for the mcr-1 gene detection was developed.

The colistin agar test and broth microdilution were employed to screen 152 E. coli isolates from pig fecal samples of five antibiotic-used farms. The established RPA-in-house LFA was validated with PCR for mcr-1 gene detection.

The RPA-in-house LFA was completed within 35 min (20 min of amplification and 5-15 min on LFA detection) at 37 °C. The sensitivity, specificity, and accuracy were entirely 100% in concordance with PCR results. No cross-reactivity was detected with seven common pathogenic bacteria or other mcr gene variants.

Therefore, the in-house RPA-LFA serves as a point-of-care testing tool that is rapid, simple, and portable, facilitating effective surveillance of colistin resistance in both veterinary and clinical settings, thereby enhancing health outcomes.