Takotsubo Syndrome and Gender Differences: Exploring Pathophysiological Mechanisms and Clinical Differences for a Personalized Approach in Patient Management.

Takotsubo syndrome (TTS), also known as the broken-heart syndrome, is a reversible condition typically observed in female patients presenting for acute coronary syndromes (ACS). Despite its increasing incidence, TTS often remains undiagnosed due to its overlap with ACS. The pathophysiology of TTS is complex and involves factors such as coronary vasospasm, microcirculatory dysfunction, increased catecholamine levels, and overactivity of the sympathetic nervous system. Diagnosing TTS requires a comprehensive approach, starting with clinical suspicion and progressing to both non-invasive and invasive multimodal tests guided by a specific diagnostic algorithm. Management of TTS should be personalized, considering potential complications, the presence or absence of coronary artery disease (CAD), diagnostic test results, and the patient's clinical course. The current data primarily derive from case series, retrospective analyses, prospective registries, and expert opinions. In recent years, there has been growing recognition of gender differences in the pathophysiology, presentation, and outcomes of TTS. This review provides an updated overview of gender disparities, highlighting the importance of tailored diagnostic and management strategies.

CA-125:CA72-4 ratio - towards a promising cost-effective tool in ovarian cancer diagnosis and monitoring of post-menopausal women under hormone treatment.

Ovarian cancer (OC) is the most lethal gynecological cancer in the developed world. Most cases are diagnosed at late stage III-IV with a very low 5-year overall survival rate. Several studies revealed an elevated risk of OC in users of hormone treatment (HT) compared with non-users. The extended duration of HT is a statistically significant risk factor. Carbohydrate antigen or cancer antigen 125 (CA-125) remains the best screening tool for OC; however, its value is limited due to low specificity, leading to unnecessary interventions, surgeries, and psychological harm. Additionally, the variability of ultrasound interpretation highlights the urgent need to develop a univariate index with higher sensitivity and specificity for early diagnosis of OC in women under HT. Herein we critically review the limitations of biomarkers for the detection of OC aiming to suggest an accurate and cost-effective diagnostic ratio that eliminates the impact of body mass index, age, HT, smoking, and benign ovarian diseases on measurements. Numerous studies combine biomarkers such as CA-125, human epididymis protein 4, and thymidine kinase 1 into diagnostic algorithms. Data suggest that the expression of estrogen receptors may have diagnostic and prognostic value, as the estrogen receptor α (ERα):estrogen receptor ß (ERß) ratio is significantly higher in OC than in normal tissue due to ERß downregulation. A high positive correlation between expression of CA-125 and carbohydrate antigen or cancer antigen 72 - 4 (CA72-4) with ERα and ERß, respectively, poses that a novel ratio CA-125:CA72-4 could be nodal for monitoring post-menopausal women under HT.

A living experience proposal for the co-occurring diagnosis of avoidant/restrictive food intake disorder and other eating disorders.

The eating and feeding disorder section of the Diagnostic and Statistical Manual of Mental Disorders 5 Text Revision (DSM-5-TR) is organized by a diagnostic algorithm that limits the contemporaneous assignment of multiple eating disorder diagnoses. Avoidant/restrictive food intake disorder (ARFID) is a disturbance in food intake typically associated with lack of interest in food, food avoidance based on sensory characteristics, and/or fear of aversive consequences from eating. According to the DSM-5-TR, an ARFID diagnosis cannot be made when weight or shape disturbances are present, and ARFID cannot be co-diagnosed with other eating disorders characterized by these disturbances. However, emerging evidence from both clinical and lived experience contexts suggests that the co-occurrence of ARFID with multiple other types of eating disorders may be problematically invisibilized by this trumping scheme. The diagnostic criteria for ARFID can contribute to inappropriate diagnosis or exclusion from diagnosis due to excessive ambiguity and disqualification based on body image disturbance and other eating disorder pathology, even if unrelated to the food restriction or avoidance. This harmfully limits the ability of diagnostic codes to accurately describe an individual's eating disorder symptomatology, impacting access to specialized and appropriate eating disorder care. Therefore, revision of the DSM-5-TR criteria for ARFID and removal of limitations on the diagnosis of ARFID concurrent to other full-syndrome eating disorders stands to improve identification, diagnosis, and support of the full spectrum of ARFID presentations.

Role of Intestinal Ultrasound for IBD Care: A Practical Approach.

Intestinal ultrasound (IUS) has recently become the imaging technique of choice for patients with different types of intestinal inflammation. IUS has a high sensitivity, specificity, positive predictive value, and negative predictive value when diagnosing Crohn's disease or ulcerative colitis. Further, it is now the preferred imaging modality for routine IBD reevaluations because of its non-invasiveness, cost-effectiveness, availability (at least in Europe), and reproducibility in all age groups. However, the clinical success of IUS requires IUS training for doctors and technicians who perform IUS with a standardised description of ultrasound findings of the terminal ileum and entire colon. Complications such as abscess formation, fistulae, and stenosis can be detected by either conventional IUS or contrast-enhanced ultrasound (CEUS). Lately, several disease activity scores have been proposed for Crohn's disease, postoperative Crohn's disease, and ulcerative colitis both in adults (including elderly) and in children. IUS was successfully used in randomised clinical trials in order to measure the treatment response. Therefore, IUS now plays a central role in clinical decision making.

Clinical impact of MRI on indeterminate findings on contrast-enhanced CT suspicious of HCC.

OBJECTIVES: In patients evaluated for hepatocellular carcinoma (HCC), magnetic resonance imaging (MRI) is often used secondarily when multiphase contrast-enhanced computed tomography (ceCT) is inconclusive. We investigated the clinical impact of adding MRI. MATERIALS AND METHODS: This single-institution retrospective study included 48 MRI scans (44 patients) conducted from May 2016 to July 2023 due to suspicion of HCC on a multiphase ceCT scan. Data included medical history, preceding and subsequent imaging, histology when available, and decisions made at multidisciplinary team meetings. RESULTS: In case of possible HCC recurrence, 63% of the MRI scans were diagnostic of HCC. For 80% of the negative MRI scans, the patients were diagnosed with HCC within a median of 165 days in the suspicious area of the liver. In case of possible de-novo HCC in patients with cirrhosis, 22% of the scans were diagnostic of HCC and 33% of the negative MRI scans were of patients diagnosed with HCC within a median of 109 days. None of the non-cirrhotic patients with possible de-novo HCC and negative MRI scans (64%) were later diagnosed with HCC, but 3/5 of the indeterminate scans were of patients diagnosed with HCC in a biopsy. CONCLUSIONS: Secondary MRI to a multiphase ceCT scan suspicious of HCC is highly valuable in ruling out HCC in non-cirrhotic patients and in diagnosing HCC non-invasively in cirrhotic patients and patients with prior HCC. Patients with cirrhosis or prior HCC are still at high risk of having HCC if MRI results are inconclusive or negative.

Improving head and neck sarcoma care: The impact of a specialized multidisciplinary team approach on diagnosis and patient outcomes.

OBJECTIVE: Globally, head & neck sarcoma care pathways remain unclear. In 2018, the London Sarcoma Service (LSS) set up a dedicated head and neck sarcoma (HNS) multidisciplinary team (MDT) with a clear objective to provide formal access to super-specialist expertise in diagnosis, treatment planning and management of HNS. The aim of the study is to provide first results of a dedicated HNS MDT. METHODS: All patients discussed between 2018 and 2022, in HNS MDT, with a new histologically confirmed HNS diagnosis were included in the study. Demographics, anatomic site, morphology, MDT recommendation, treatment details and outcomes were obtained from electronic patient records. RESULTS: A total of 337 patients were discussed in the HNS MDT of which 178 patients were included in the study, with a median age of 53 years(range 2-94); 67 % were soft tissue sarcomas(STS) and 33 % were bone sarcomas(BS), of which 43 % and 71 % were high grade, respectively. 55 % BS and 39 % STS underwent surgery. 9 % of BS and 7 % of STS received adjuvant Proton Beam therapy. With a median follow-up of 2.16 years, recurrence was observed in 12 %, distant metastasis in 6 % of patients and overall survival was 72 %. CONCLUSION: The HNS MDT provides expertise on diagnosis and multi-modality management of HNS. STS are more likely to be misdiagnosed. Atypical imaging characteristics should trigger a specialist referral. Adequate surgery at first presentation remains the mainstay of treatment and the strongest prognosticator of overall survival. Formation of an expert working group specific to HNS must work towards streamlining sarcoma care.

TB drug susceptibility testing in high fluoroquinolone resistance settings.

BACKGROUND: The insurgence of resistance to key drugs of the BPaLM (bedaquiline + pretomanid + moxifloxacin) regimen is a major concern. In settings with widespread resistance to fluoroquinolones (FQs), like Pakistan, new technologies, such as Xpert® MTB/XDR, may ensure drug resistance upfront screening. This study aims to assess MTB/XDR's performance in detecting FQs and isoniazid resistance, proposing a renewed diagnostic algorithm for drug-resistant TB (DR-TB). METHODS: This cross-sectional prospective study, approved by the local ethical committee, collected samples from people newly and previously diagnosed with TB over 6 months. Xpert® MTB/RIF Ultra, MTB/XDR, Genotype® MTBDRplus, Genotype® MTBDRsl, culture, and phenotypic drug susceptibility testing (pDST) for relevant drugs (including bedaquiline and levofloxacin) were performed. Next-generation sequencing (NGS) resolved discordances between MTB/XDR and pDST results. RESULTS: The analysis showed that MTB/XDR has 91.5% and 88.2% sensitivity and 99.5% and 97.7% specificity in detecting respectively isoniazid (INH) and resistance to FQs, demonstrating that MTB/XDR meets the WHO targets for INH resistance detection at the peripheral level. NGS effectively resolved discordances between MTB/XDR and pDST results. CONCLUSIONS: The obtained results allowed designing the proposed diagnostic algorithm for rapid identification of DR-TB, ensuring rapid and equitable access to drug susceptibility testing for TB, ultimately improving TB care and control.

CONTEXTE: La recrudescence de la résistance aux médicaments clés du régime BPaLM (bédaquiline + prétomanide + moxifloxacine) est une préoccupation majeure. Dans les contextes où la résistance aux fluoroquinolones (FQ) est répandue, comme le Pakistan, de nouvelles technologies, telles que Xpert® MTB/XDR, peuvent assurer un dépistage initial de la résistance aux médicaments. Cette étude vise à évaluer la performance de MTB/XDR dans la détection des FQ et de la résistance à l'isoniazide, en proposant un algorithme de diagnostic renouvelé pour la TB pharmacorésistante (DR-TB, pour l'anglais «drug-resistant TB ¼ ). MÉTHODES: Cette étude prospective transversale, approuvée par le comité d'éthique local, a recueilli des échantillons de personnes nouvellement diagnostiquées et précédemment diagnostiquées avec la TB pendant 6 mois. Xpert® MTB/RIF Ultra, MTB/XDR, le GenoType® MTBDRplus, le GenoType® MTBDRsl, la culture et des tests phénotypiques de sensibilité aux médicaments (pDST, pour l'anglais «phenotypic drug susceptibility testing ¼ ) pour les médicaments pertinents (y compris la bédaquiline et la lévofloxacine) ont été effectués. Le séquençage de nouvelle génération (NGS, pour l'anglais «next-generation sequencing ¼ ) a résolu les discordances entre les résultats MTB/XDR et pDST. RÉSULTATS: L'analyse a montré que le MTB/XDR a une sensibilité de 91,5% et 88,2% et une spécificité de 99,5% et 97,7% dans la détection respectivement de l'isoniazide et de la résistance aux FQ, démontrant que le MTB/XDR répond aux objectifs de l'OMS pour la détection de la résistance à l'isoniazide au niveau périphérique. NGS a efficacement résolu les discordances entre les résultats MTB/XDR et pDST. CONCLUSIONS: Les résultats obtenus ont permis de concevoir l'algorithme de diagnostic proposé pour l'identification rapide de la DR-TB, garantissant un accès rapide et équitable aux tests de sensibilité aux médicaments pour la TB, améliorant ainsi la prise en charge et le contrôle de la TB.

[Palmoplantar dermatoses: Diagnostic approach in primary care]. / Dermatosis palmoplantares: aproximación diagnóstica en atención primaria.

This article addresses the diagnostic challenges of palmoplantar dermatoses (PPD) within the scope of Primary Health Care (PHC). These common skin conditions, encountered in daily practice, exhibit a diverse range of symptoms and morphologies, complicating their diagnosis. They are etiologically classified into infectious inflammatory, non-infectious inflammatory, and hereditary keratodermas. While various dermatoses may affect the palms and soles, few are specific to this area. Notable examples include palmoplantar pustulosis, dyshidrosis, erythema pernio, and Bazex syndrome. Given the high prevalence of dermatological consultations in PHC, this article underscores the significance of PHC professionals' knowledge regarding these conditions. It proposes a diagnostic algorithm to facilitate their management and timely referral.

[Brain check-up: a structured approach diagnosing mild cognitive impairment in the primary care setting]. / Gehirn-Check-up: strukturiertes Vorgehen zur Diagnostik von kognitiven Störungen im hausärztlichen Setting.

BACKGROUND: The reason-related identification of mild cognitive impairment (MCI) in primary care is helpful to treat reversible causes or decelerate progression to dementia by optimal management of existing risk factors. In this process general practitioners are in a key position. The present feasibility study investigated the practicability of a diagnostic algorithm (brain check-up), comprising neuropsychological examinations, differential diagnoses and follow-up measures. METHOD: By means of a standardized questionnaire, the utilization and practicability of the brain check-up was surveyed in n = 37 medical practices of general practitioners and internists in Germany. RESULTS: The brain check-up was performed by n = 37 physicians in 389 patients (66%). The main barriers to implementation included patients' fear of facing the results, the professionals' lack of time, and costs. Overall, 73% of the participants agreed that the brain check-up was practical in everyday treatment. Long waiting times for an appointment with a neurological/psychiatric specialist were perceived as a barrier for optimal care. CONCLUSION: The structured algorithm is convenient in physician's everyday practice and can contribute to identify patients with MCI more easily. Therefore, it appears to be a helpful tool in primary care. To achieve sustainability in everyday use, identified barriers need to be addressed during the implementation phase.

Private Doctors' Perspective towards "Patient First" in TB Diagnostic Cascade, Hisar, India.

TB diagnosis has been simplified in India following advances in available diagnostic tools. This facilitates private doctors' "patient first" approach toward early diagnosis; however, costs remain high. India's NTEP established a TB diagnostic network, which is free for patients and incentivizes private doctors to participate. Drawing from this context led to the design and implementation of the One-Stop TB Diagnostic Solution model, which was conducted in the Hisar district, Haryana, allowing specimens from presumptive TB patients from private doctors to be collected and tested as per NTEPs diagnostic algorithm. A subset of data pertaining to private doctors was analyzed for the project period. Qualitative data were also collected by interviewing doctors using a snowball method to capture doctors' perception about the model. Out of 1159 specimens collected from 60 facilities, MTB was detected in 32% and rifampicin resistance was detected in 7% specimens. All specimens went through the diagnostic algorithm. Thirty doctors interviewed were satisfied with the services offered and were appreciative of the program that implements this "patient centric" model. Results from implementation indicate the need to strengthen private diagnostics through a certification process to ensure provision of quality TB diagnostic services.

Hypersensitivity pneumonitis: application of a new diagnostic algorithm to a time series of the disease.

BACKGROUND: The diagnostic criteria for Hypersensitivity pneumonitis (HP) have changed over time. Our aim is to apply a recent diagnostic algorithm to a historical series of patients diagnosed with HP to assess its distribution according to current diagnostic criteria and the diagnostic confidence achieved. RESEARCH DESIGN AND METHODS: Application to each patient the algorithm criteria. The diagnosis was HP (≥90%), provisional high (70-89%) or low confidence (51-69%) or non-HP (unlikely) (≤50%); or HP, provisional or non-HP, if they had lung biopsy. RESULTS: 129 patients [mean age 64 ± 12 years; 79 (61.2%) women] were included of which 16 (12.4%) were diagnosed on the basis of high clinical suspicion. After applying the algorithm, 106 patients (82.2%) could be evaluated and 83 (78.3%) had a diagnosis of HP or high confidence. Lung biopsy was able to establish a diagnosis of certainty in another 21 patients and a provisional diagnosis in 9 more [total, 113 (87.6%)]. The 16 patients without strict diagnostic criteria for HP had a low confidence diagnosis. A total of 56 lung biopsies (64.4%) could have been avoided according to the new guidelines. CONCLUSIONS: The application of this algorithm achieves a high diagnostic yield in HP, significantly reducing the number of lung biopsies required.

From evidence to practice: A systematic review-based diagnostic algorithm for paediatric eosinophilia across socioeconomic context.

AIM: Paediatric eosinophilia is a common clinical dilemma, often leading to resource- and time-consuming assessments. We aim to evaluate the main aetiologies of eosinophilia in children from different socioeconomic settings and propose a diagnostic algorithm. METHODS: A systematic literature review was conducted through PubMed, Embase and the Cochrane Library. Studies published from January 2012 to June 2023 reporting the incidence and aetiology of peripheral eosinophilia in children were included. Evidence from studies on children originating from low- or high-income countries was compared. RESULTS: A total of 15 observational studies, encompassing 3409 children, were included. The causes of eosinophilia varied based on the children's origin and the eosinophilia severity. In children from high-income countries, allergic diseases were the leading cause, with a prevalence of 7.7%-78.2%, while parasitosis ranged from 1.0% to 9.1%. In children from low-income countries, parasitosis was predominant, ranging from 17.7% to 88.3%, although allergic diseases were found in 2.5%-4.8% of cases. Concerning severity, allergic diseases were the leading cause of mild-to-moderate eosinophilia; parasitosis was associated with moderate-to-severe eosinophilia, while immunological disorders were mostly found in severe cases. CONCLUSION: We developed a step-up diagnostic algorithm that considers the child's origin and eosinophilia severity and could optimise resource allocation.

A practical ligament-based diagnostic system for cure of pelvic symptoms and prolapse.

The Integral Theory Paradigm (ITP) has a 25-year track record of successfully treating bladder/bowel/pain symptoms caused by laxity in specific ligaments, even when the prolapse is minimal. The ITP-based treatment involves ligament support and can be nonsurgical or daycare surgical. An accurate diagnostic protocol is required. The Integral Theory Diagnostic system is performed in an outpatient setting. It a step-by-step "how to" resource for clinicians who wish to learn a practical anatomical diagnostic method which can quickly and accurately identify a ligament cause for bladder/bowel/pain symptoms, and therefore, potentially cure them. The structured ITP diagnosis flow chart uses symptoms to diagnose anatomical defects. It comprises 4 related steps. The ITP is holistic, and bladder, bowel, pain symptoms co-occur. The first step, therefore, is to establish all possible symptoms for transfer to the Diagnostic Algorithm which is the second step. Because patients complain of one main symptom, other symptoms must be located by direct questioning, using the Diagnostic Algorithm as an aide memoire, or a questionnaire to locate bladder, bowel, pain symptoms. Second step: symptoms are placed into 3 anatomical zones: anterior zone, pubourethral ligament (PUL) [stress urinary incontinence (SUI)]; middle zone, cardinal ligament (CL) (transverse defect cystocele); posterior zone, uterosacral ligament (USL) (uterine prolapse and enterocele). The third step is a vaginal examination to confirm the ligament damage (prolapses) in the three zones predicted by the algorithm. The fourth step is "simulated operations" (mechanical support of specific ligaments per vaginam) to validate the particular ligament indicated by the diagnostic algorithm, is indeed causing that symptom. For SUI, a hemostat test at midurethra supports PUL vaginally to stop urine loss on coughing; the lower blade of a bivalve speculum gently inserted into the vagina can relieve urge and pain.

Understanding Kerion Celsi in Children: Diagnosis and Therapeutic Guidelines Through an Algorithm.

Kerion celsi (KC), known as scalp ringworm, is the most common dermatophytosis in children. In Mexico, it ranks fourth among dermatophytoses, with a frequency of 4%-10%. KC is the inflammatory variety of tinea capitis (TC), with the most common causative agents being Microsporum canis and Trichophyton mentagrophytes. We present the clinical case of a six-year-old male diagnosed with KC. Direct examination stained with chlorazol black and cultures were performed, yielding negative results. Histopathological study revealed spores and short hyphae within and surrounding the hair shaft. Treatment with itraconazole was initiated based on suspicion of Microsporum spp. from the trichoscopy findings. We propose a diagnostic and therapeutic algorithm for kerion celsi.

Predictors contributing to the estimation of pulmonary tuberculosis among adults in a resource-limited setting: A systematic review of diagnostic predictions.

Background: Although tuberculosis is highly prevalent in low- and middle-income countries, millions of cases remain undetected using current diagnostic methods. To address this problem, researchers have proposed prediction rules. Objective: We analyzed existing prediction rules for the diagnosis of pulmonary tuberculosis and identified factors with a moderate to high strength of association with the disease. Methods: We conducted a comprehensive search of relevant databases (MEDLINE/PubMed, Cochrane Library, Science Direct, Global Health for Reports, and Google Scholar) up to 14 November 2022. Studies that developed diagnostic algorithms for pulmonary tuberculosis in adults from low and middle-income countries were included. Two reviewers performed study screening, data extraction, and quality assessment. The study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. We performed a narrative synthesis. Results: Of the 26 articles selected, only half included human immune deficiency virus-positive patients. In symptomatic human immune deficiency virus patients, radiographic findings and body mass index were strong predictors of pulmonary tuberculosis, with an odds ratio of >4. However, in human immune deficiency virus-negative individuals, the biomarkers showed a moderate association with the disease. In symptomatic human immune deficiency virus patients, a C-reactive protein level ⩾10 mg/L had a sensitivity and specificity of 93% and 40%, respectively, whereas a trial of antibiotics had a specificity of 86% and a sensitivity of 43%. In smear-negative patients, anti-tuberculosis treatment showed a sensitivity of 52% and a specificity of 63%. Conclusions: The performance of predictors and diagnostic algorithms differs among patient subgroups, such as in human immune deficiency virus-positive patients, radiographic findings, and body mass index were strong predictors of pulmonary tuberculosis. However, in human immune deficiency virus-negative individuals, the biomarkers showed a moderate association with the disease. A few models have reached the World Health Organization's recommendation. Therefore, more work should be done to strengthen the predictive models for tuberculosis screening in the future, and they should be developed rigorously, considering the heterogeneity of the population in clinical work.

Pediatric poisoning management: How clinical practice can benefit from forensic approach.

Pediatric population represents the most vulnerable and at risk for unintentional poisoning, with children younger than 6 years old accounting for nearly half of poison exposures. Poisoning is a time-dependent emergency. The need to reach a scientific agreement on diagnostic protocol and treatment seems to be crucial to reduce morbidity and mortality. Starting from a buprenorphine pediatric intoxication case, this article highlights the limits and pitfalls of the traditional diagnostic approach. Diagnosis of drug intoxication was achieved after several days when an in-depth diagnostic investigation became necessary and complete forensic toxicological analyses were performed. Results evidenced an alarming lack of an unequivocal diagnostic protocol in case of suspect intoxication in structures not provided with a forensic toxicological service/unit. Collection of biological specimens according to forensic protocols at hospitalization plays a paramount role in the definitive diagnosis of intoxication. A diagnostic algorithm that focuses on medical history and biological specimen collection timing is herein proposed, in order to unify emergency approaches to the suspected poisoned child.

Hepatitis C virus core antigen: A diagnostic and treatment monitoring marker of hepatitis C virus in Indian population.

BACKGROUND: The diagnosis and treatment monitoring of hepatitis C is quite challenging. The screening test, i.e. antibody assay, is unable to detect acute cases, while the gold standard hepatitis C virus (HCV) reverse transcriptase polymerase chain reaction (RTPCR) assay is not feasible in resource-limited countries such as India due to high cost and infrastructure requirement. European Association for the Study of the Liver and World Health Organization have approved a new marker, i.e. HCV core antigen (HCVcAg) assay, as an alternative to molecular assay. In this study, we have evaluated HCVcAg assay for diagnosis and treatment monitoring follow-up in Indian population infected with hepatitis C. METHODS: Blood specimen of 90 clinically suspected cases of acute hepatitis C were tested simultaneously for anti-HCV antibody assay via ELISA (enzyme-linked immunoassay), HCVcAg assay by chemiluminescence immune assay (CLIA) and HCV RTPCR VL (viral load) assay. Thirty-four HCV RTPCR positive patients were further enrolled in treatment monitoring group whose blood samples were tested at the beginning of treatment, two weeks, four weeks and 12 weeks via HCV core Ag assay and HCV RTPCR Viral Load assay. RESULTS: Considering HCV RTPCR as gold standard, diagnostic performance of HCV core Ag assay and anti-HCV antibody assay was evaluated. The sensitivity and specificity of HCV core Ag assay were higher than that of anti-HCV Antibody assay, i.e. 88.3% and 100% vs. 23.3% and 83.3%, respectively. The overall diagnostic accuracy of HCV core Ag assay was 92.20%. Among treatment follow-up group, HCV core Ag levels correlated well with HCV viral load levels, at the beginning of treatment (baseline) till 12 weeks showing highly significant Spearman rank correlation coefficient of > 0.9 with HCV viral load levels. CONCLUSIONS: HCV core Ag assay is a cost-effective, practically feasible substitute of HCV RTPCR viral load assay for diagnosis as well as long duration treatment monitoring of hepatitis C infection in resource-limited settings.

Differentiation between adrenocortical carcinoma and lipid-poor adrenal adenoma using a multiparametric MRI-based diagnostic algorithm.

PURPOSE: The purpose of this study was to evaluate the capabilities of multiparametric magnetic resonance imaging (MRI) in differentiating between lipid-poor adrenal adenoma (LPAA) and adrenocortical carcinoma (ACC). MATERIALS AND METHODS: Patients of two centers who underwent surgical resection of LPAA or ACC after multiparametric MRI were retrospectively included. A training cohort was used to build a diagnostic algorithm obtained through recursive partitioning based on multiparametric MRI variables, including apparent diffusion coefficient and chemical shift signal ratio (i.e., tumor signal intensity index). The diagnostic performances of the multiparametric MRI-based algorithm were evaluated using a validation cohort, alone first and then in association with adrenal tumor size using a cut-off of 4 cm. Performances of the diagnostic algorithm for the diagnosis of ACC vs. LPAA were calculated using pathology as the reference standard. RESULTS: Fifty-four patients (27 with LPAA and 27 with ACC; 37 women; mean age, 48.5 ± 13.3 [standard deviation (SD)] years) were used as the training cohort and 61 patients (24 with LPAA and 37 with ACC; 47 women; mean age, 49 ± 11.7 [SD] years) were used as the validation cohort. In the validation cohort, the diagnostic algorithm yielded best accuracy for the diagnosis of ACC vs. LPAA (75%; 46/61; 95% CI: 55-88) when used without lesion size. Best sensitivity was obtained with the association of the diagnostic algorithm with tumor size (96%; 23/24; 95% CI: 80-99). Best specificity was obtained with the diagnostic algorithm used alone (76%; 28/37; 95% CI: 60-87). CONCLUSION: A multiparametric MRI-based diagnostic algorithm that includes apparent diffusion coefficient and tumor signal intensity index helps discriminate between ACC and LPAA with high degrees of specificity and accuracy. The association of the multiparametric MRI-based diagnostic algorithm with adrenal lesion size helps maximize the sensitivity of multiparametric MRI for the diagnosis of ACC.

Development of a Standardized Algorithm for Management of Newly Diagnosed Anorectal Malformations.

Neonates with a new diagnosis of anorectal malformation (ARM) present a unique challenge to the clinical team. ARM is strongly associated with additional midline malformations, such as those observed in the VACTERL sequence, including vertebral, cardiac, and renal malformations. Timely assessment is necessary to identify anomalies requiring intervention and to prevent undue stress and delayed treatment. We utilized a multidisciplinary team to develop an algorithm guiding the midline workup of patients newly diagnosed with ARM. Patients were included if born in or transferred to our neonatal intensive care unit (NICU), or if seen in clinic within one month of life. Complete imaging was defined as an echocardiogram, renal ultrasound, and spinal magnetic resonance imaging or ultrasound within the first month of life. We compared three periods: prior to implementation (2010-2014), adoption period (2015), and delayed implementation (2022); p ≤ 0.05 was considered significant. Rates of complete imaging significantly improved from pre-implementation to delayed implementation (65.2% vs. 50.0% vs. 97.0%, p = 0.0003); the most growth was observed in spinal imaging (71.0% vs. 90.0% vs. 100.0%, p = 0.001). While there were no differences in the rates of identified anomalies, there were fewer missed diagnoses with the algorithm (10.0% vs. 47.6%, p = 0.05). We demonstrate that the implementation of a standardized algorithm can significantly increase appropriate screening for anomalies associated with a new diagnosis of ARM and can decrease delayed diagnosis. Further qualitative studies will help to refine and optimize the algorithm moving forward.