Diagnostic Algorithm Research Articles

Asthma diagnosis: a comparison of established diagnostic guidelines in adults with respiratory symptoms

Considerable variability exists between asthma diagnostic guidelines. We tested the performance characteristics of the European Respiratory Society (ERS), the National Institute for Health and Care Excellence (NICE) and the Global Initiative for Asthma (GINA) guidelines for the diagnosis of asthma in adults. In this prospective observational study (ISRCTN-11676160, May 2019-June 2022), participants referred from primary care with clinician-suspected asthma underwent comprehensive investigation including: spirometry, bronchodilator reversibility, fractional exhaled nitric oxide, peak expiratory flow variability, bronchial challenge testing with methacholine and mannitol, and responsiveness to inhaled corticosteroid therapy. Results were reviewed by a panel of asthma specialists to determine asthma diagnosis (reference standard) and compared to each diagnostic test and the ERS, NICE and GINA diagnostic algorithms (index tests). The sensitivity, specificity, positive predictive and negative predictive values were calculated. One hundred and forty adults were enrolled and 118 given a definitive diagnostic outcome [75 female; mean (SD) age 36 (12) years; 70 (59%) with asthma] and included in the analysis. Sensitivity of individual tests was poor (15-62%), but they provided good specificity at the most stringent thresholds (range: 88-100%). The sensitivity/specificity of ERS, NICE and GINA was 81/85%, 41/100% and 47/100%, respectively. Concordance between guidelines was only moderate (Cohen's Kappa 0.45-0.51). Current guidelines for the diagnosis of asthma in adults provide either excellent specificity but low sensitivity (GINA and NICE) or only reasonable sensitivity and specificity (ERS). All guidelines therefore have limitations with regards to their clinical application; new guidelines are needed but should be tested prospectively before roll out. This work was supported by the Manchester NIHR Biomedical Research Centre (BRC) (grant no. BRC-1215-20007, and NIHR203308), Asthma UK/Innovate (grant no. AUK-PG-2018-406), GSK ID 212474 and North West Lung Centre Charity.

Severe acute liver disease in adults: Contemporary role of histopathology.

Liver biopsies have consistently contributed to our understanding of the pathogenesis and aetiologies of acute liver disease. As other diagnostic modalities have been developed and refined, the role of biopsy in the management of patients with acute liver failure (ALF), acute-on-chronic liver failure (ACLF) and acute hepatitis, including acute liver injury (ALI), has changed. Liver biopsy remains particularly valuable when first-line diagnostic algorithms fail to determine aetiology. Despite not being identified as a mandatory diagnostic tool in recent clinical guidelines for the management of ALF or ACLF, many centres continue to undertake biopsies given the relative safety of transjugular biopsy in this setting. Several studies have demonstrated that liver biopsy can provide prognostic information, particularly in the context of so-called indeterminate hepatitis, and is extremely useful in excluding conditions such as metastatic tumours that would preclude transplantation. In addition, its widespread use of percutaneous biopsies in cases of less severe acute liver injury, for example in the establishment of a diagnosis of acute presentation of autoimmune hepatitis or confirmation of a probable or definite drug-induced liver injury (DILI), has meant that many centres have seen a shift in the ratio of specimens they are receiving from patients with chronic to acute liver disease. Histopathologists therefore need to be equipped to deal with these challenging specimens. This overview provides an insight into the contemporary role of biopsies (as well as explant and autopsy material) in diagnosing acute liver disease. It outlines up-to-date clinical definitions of liver injury and considers recent recommendations for the diagnosis of AIH and drug-induced, autoimmune-like hepatitis (DI-AIH).

Staged surgical treatment of wounds of the extra-abdominal rectum

AIM: to improve the algorithm and results of surgical treatment of combat wounds of the rectum. PATIENTS AND METHODS: thirty-one patients with combat injuries of the rectum were included in the cohort. RESULTS: twenty-seven (87.1 %) patients were discharged in satisfactory condition, 4 (12,9 %) patients died. Sepsis developed in all four patients: in two of them sepsis was on the background of necrotising fasciitis and one had peritonitis. Endoscopic control revealed 10 wounds of the extraperitoneal part of the rectum undiagnosed at the 1st and 2nd stages of medical care. Surgical care included all four main components: diverting stoma, distal washout (mechanical cleansing of the rectum to clear water), suturing of the lesion through perineal access, drainage or tamponisation of the presacral space was done in 20 (64.5 %) patients. Endoluminal VAC therapy was used in 12 patients. In 11 of them, VAC treatment was successful with complete healing of rectal wall wounds. CONCLUSION: the four-component treatment approach is the optimal option for wounds of the extraperitoneal part of the rectum. Diverting stoma and distal bowel washout prevents severe infection. Endoluminal VAC therapy, in some cases, can be used as an alternative to presacral drainage and suturing of the rectal wall lesion.

Real-world effectiveness and use of dupilumab in eosinophilic esophagitis

Introduction: Dupilumab, the first FDA-approved treatment for eosinophilic esophagitis (EoE), lacks real-world data on use and effectiveness. Methods: We conducted a retrospective cohort study of 70 EoE patients prescribed dupilumab, comparing prescriber type, indication, follow-up, and response. Results: Indications varied with gastroenterologists commonly prescribing for treatment-refractory cases and allergists as first-line therapy. Endoscopic assessment was lacking in 25.9%, but those with follow-up showed high histologic remission (92.3% first-line, 85% prior treatment failure). Conclusion: Dupilumab demonstrates effectiveness across EoE severity, including milder disease without prior treatment failure. Improving follow-up and assessing cost-effectiveness will help clarify its role in the treatment algorithm.

Getting rapid diagnostic test data into the appropriate hands by leveraging pharmacy staff and a clinical surveillance platform: a case study from a US community hospital

Abstract Objectives To outline the procedural implementation and optimization of rapid diagnostic test (RDT) results for bloodstream infections (BSIs) and to evaluate the combination of RDTs with real-time antimicrobial stewardship team (AST) support plus clinical surveillance platform (CSP) software on time to appropriate therapy in BSIs at a single health system. Methods Blood culture reporting and communication were reported for four time periods: (i) a pre-BCID [BioFire® FilmArray® Blood Culture Identification (BCID) Panel] implementation period that consisted of literature review and blood culture notification procedure revision; (ii) a BCID implementation period that consisted of BCID implementation, real-time results notification via CSP, and creation of a treatment algorithm; (iii) a post-BCID implementation period; and (iv) a BCID2 implementation period. Time to appropriate therapy metrics was reported for the BCID2 time period. Results The mean time from BCID2 result to administration of effective antibiotics was 1.2 h (range 0–7.9 h) and time to optimal therapy was 7.6 h (range 0–113.8 h) during the BCID2 Panel implementation period. When comparing time to optimal antibiotic administration among patients growing ceftriaxone-resistant Enterobacterales, the BCID2 Panel group (mean 2.8 h) was significantly faster than the post-BCID Panel group (17.7 h; P = 0.0041). Conclusions Challenges exist in communicating results to the appropriate personnel on the healthcare team who have the knowledge to act on these data and prescribe targeted therapy against the pathogen(s) identified. In this report, we outline the procedures for telephonic communication and CSP support that were implemented at our health system to distribute RDT data to individuals capable of assessing results, enabling timely optimization of antimicrobial therapy.

Odontoid fractures in the pediatric population: a systematic review and management algorithm

Purpose: The management of odontoid fractures in adult patients has been widely described. However, there is sparse literature about this injury in the pediatric population. This study aimed to review published literature regarding the management and outcomes of pediatric odontoid fractures to develop a stepwise treatment algorithm. Methods: A literature review was conducted using PRISMA guidelines on PubMed to identify studies between 1960 and 2023 that reported on the management and outcomes of odontoid fracture in pediatric patients. Studies were included if they were published in English and if their sample included at least four patients aged 0–18, minimum follow-up of 6 weeks, and outcomes for each patient clearly differentiated. Results: In total, 15 studies including 125 pediatric patients with odontoid fractures were included. Treatment options varied from non-operative management with immobilization in rigid collars, halo vests, cervicothoracic orthosis, or soft collars to surgical management with fixation and/or arthrodesis. There were 73 patients initially treated nonoperatively, 47 initially treated surgically, 2 who healed with observation alone, and 3 who died acutely of concomitant injuries. The nonunion rate for nonoperative management was 5.5%. Surgery was successful, demonstrating bony union at final follow-up, in 94.6% of cases treated via a posterior approach and 85.7% of cases treated with an anterior approach. Conclusions: Odontoid fractures must be considered in pediatric patients with cervical spine trauma. This is the largest literature review of pediatric odontoid fractures. Various management strategies exist and can be considered. The proposed algorithm offers an evidence-based framework for the management of pediatric odontoid fractures.

Development of an AI-Based Predictive Algorithm for Early Diagnosis of High-Risk Dementia Groups among the Elderly: Utilizing Health Lifelog Data

Background/Objectives: This study aimed to develop a predictive algorithm for the early diagnosis of dementia in the high-risk group of older adults using artificial intelligence technologies. The objective is to create an accessible diagnostic method that does not rely on traditional medical equipment, thereby improving the early detection and management of dementia. Methods: Lifelog data from wearable devices targeting this high-risk group were collected from the AI Hub platform. Various indicators from these data were analyzed to develop a dementia diagnostic model. Machine learning techniques such as Logistic Regression, Random Forest, LightGBM, and Support Vector Machine were employed. Data augmentation techniques were applied to address data imbalance, thereby enhancing the model performance. Results: Data augmentation significantly improved the model’s accuracy in classifying dementia cases. Specifically, in gait data, the SVM model performed with an accuracy of 0.879. In sleep data, a Logistic Regression was performed, yielding an accuracy of 0.818. This indicates that the lifelog data can effectively contribute to the early diagnosis of dementia, providing a practical solution that can be easily integrated into healthcare systems. Conclusions: This study demonstrates that lifelog data, which are easily collected in daily life, can significantly enhance the accessibility and efficiency of dementia diagnosis, aiding in the effective use of medical resources and potentially delaying disease progression.

Sperm Migration and Hyaluronic Acid Binding: Implications for Male Fertility Evaluation

Mature, vital, and motile spermatozoa are essential for reaching the oocyte and binding to hyaluronic acid (HA) in the cumulus oophorus matrix. This study aims to determine the relationship between sperm-migration ability and HA-binding potential, as well as the relationship between sperm concentration and motility. Semen samples were collected from 702 men aged 20–56 years (median 34.8). We evaluated the sperm concentration and motility from basic semen analysis, the swim-up test (expressed as millions per mL and the migration efficiency percentage), and the hyaluronan-binding assay (HBA). A moderate positive correlation was found between the migration test results and HBA (R = 0.48). The highest correlation was observed between the concentration of motile spermatozoa and the migration test results (R = 0.85) and HBA (R = 0.4). The sperm migration efficiency strongly correlated with progressive motility (R = 0.6). Although significantly higher sperm migration was observed in patients with normal HBA results, the results of the functional tests were found to differ in some cases. For infertility treatment, the current diagnostic algorithm should be enhanced with more comprehensive seminological methods that assess the sperm-migration ability and HA-binding potential. We also recommend incorporating the swim-up method into the diagnostic protocol before planning assisted reproductive technology (ART) treatment.

Treatment of recurrent ureteral stricture after kidney transplantation with nitinol stent

Introduction. Urological complications make up a significant percentage in the structure of kidney graft loss and patient death in the early and long-term period after transplantation. The most common urological complication in the long-term period is ureter or anastomotic stricture, which, according to various authors, occurs in 0.9–34%. However, now there is no consensus in the treatment for recurrent strictures.Case report. We have presented a clinical case of successful treatment for the stricture of the ureterovesical anastomosis after kidney transplant from a brain-dead donor. During the first year after kidney transplantation, after two reconstructive surgeries and repeated placement of plastic stents, the patient was diagnosed with recurrent stricture of the ureterovesical anastomosis, and therefore a coated nitinol ureteral stent was implanted.Conclusion. This clinical case report demonstrates the feasibility of effectively using a nitinol stent in the treatment of recurrent strictures of the ureterovesical anastomosis after kidney transplantation. In some cases, this technique can be considered as an alternative to repeated surgical interventions. Further studies are needed to determine a more precise treatment algorithm.

EXTRAHEPATIC MANIFESTATIONS IN PATIENTS WITH ACUTE HEPATITIS E – PAZARDZHIK, BULGARIA 2014 – 2022

BACKGROUND: Hepatitis E is a global health issue, only partially understood. Bulgarian record started in 2019 and data is not sufficient. AIM: This research aims to analyze extrahepatic manifestation of acute hepatitis E in patients with hepatitis E from Pazardzhik region, between 2014 – 2022. MATERIALS AND METHODS: The analysis includes 247 patients with acute hepatitis E, treated at the Department of Infectious Diseases of Pazardzhik Multiprofile Hospital for Active Treatment, Bulgaria between 2014 – 2022. The methodology includes clinical observation, laboratory tests and medical imaging. The diagnosis was established by serological /ELISA for anti-HEV IgM, IgG detection/and molecular-biological tests /RT-PCR for HEV RNA detection/. RESULTS: We observed extrahepatic manifestations in 19% (47/247) of the cases. In 60% (28/47) comorbidities were present, and 9% (4/47) were with underlying acute/chronic coinfection with another hepatotropic virus. Thrombocytopenia was found in 83% (39/47) of the patients; asymptomatic creatine kinase elevation – in 13% (6/47), acute pancreatitis – in 9% (4/47), transitory renal impairent – in 6% (3/47); 2% (1/47) had Guillain-Barré syndrome (GBS), 2% (1/47) – arrhythmia and 13% (6/47) – multiorgan involvement. While 91% (43/47) of the patients recovered, in 9% (4/47) the outcome was fatal. CONCLUSION: Extrahepatic manifestations might prevail, potentially delaying diagnosis of HEV-infection. Symptoms associated with comorbidities might also impede the final diagnosis. A diagnostic algorithm is needed to enhance the accurate diagnosis of HEV in patients with dubious symptoms.

Artificial intelligence and machine learning algorithms in diagnosis and therapy of the ankle joint.

The recent advancement of computational systems provides fast information exchange and the collection of large amounts of data. Growing number of those systems allow for effective processing of huge amounts of information, utilizing advanced algorithms that are called artificial intelligence (AI). AI has been used for many years, and the number of its applications is growing in various areas. Such solutions are also being developed increasingly in medicine, including orthopedics and radiology, to support the diagnostic and therapeutic processes. Progress in this area is particularly targeted at the skeletal sites that most often require intervention, such as the hip or knee area, with modest interest in the ankle joint. The ankle is one of the most complicated human joints, and therapeutic procedures for its treatment are relatively common. One of the solutions used in the event of serious ankle joint damage is arthroplasty. This review summarizes the current state of AI applications for the diagnosis and therapy of the ankle joint, focusing on trends and achievements in ankle joint arthroplasty and contemporary orthopedic AI solutions. Ideas from other fields of medical diagnostics or orthopedic surgery that may be utilized in the diagnosis and treatment of ankle joint are also discussed.

Optimisation of the diagnosis of Central Nervous System infections in Vietnamese hospitals: Results from a retrospective multicentre study

Abstract Introduction Central nervous system (CNS) infections pose significant health challenges, particularly in low- and middle-income countries (LMICs), due to high morbidity and mortality rates. Rapid and accurate diagnosis is essential for effective treatment to prevent adverse outcomes. Traditional culture-based diagnostics are often slow and lack specificity. This study evaluates the BioFire® FilmArray® Meningitis/Encephalitis (FAME) Panel against standard diagnostics in Vietnam to assess its clinical impact and suitability for local epidemiology. Methods We conducted a prospective study involving 330 patients with suspected CNS infections at four hospitals in northern Vietnam from July 2022 to April 2023. CSF samples were analysed using routine culture methods and FAME. We compared pathogen detection rates and assessed the potential clinical impact of FAME results on patient management. Results Of the 330 CSF specimens, 64 (19%) were positive by either conventional diagnostics (n=48) and/or FAME (n=33). The agreement between FAME and conventional diagnostics was 87%. Key pathogens Mycobacterium tuberculosis (n=7), Klebsiella pneumoniae (n=5), Streptococcus suis (n=5), Epstein-Barr virus (n=3), Acinetobacter baumannii (n=1), and Trichosporon asahii (n=1) were not detected by FAME. Classical meningitis parameters-clinical symptoms, altered glucose, protein, and pleocytosis- were good predictors of FAME positivity, indicating their utility in optimizing local diagnostic algorithms. Conclusion FAME complements traditional diagnostics by offering rapid and broad pathogen detection, crucial for timely and appropriate therapy. However, its effectiveness varies with local epidemiology, and it should not replace conventional methods entirely. Tailoring diagnostic panels to regional pathogen prevalence is recommended to enhance diagnostic accuracy and clinical outcomes in LMICs.

Retraction Note: A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis

Retraction Note: A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis

A computational study on the influence of antegrade accessory pathway location on the 12-lead electrocardiogram in Wolff-Parkinson-White syndrome.

Wolff-Parkinson-White syndrome is a cardiovascular disease characterized by abnormal atrio-ventricular conduction facilitated by accessory pathways (APs). Invasive catheter ablation of the AP represents the primary treatment modality. Accurate localization of APs is crucial for successful ablation outcomes, but current diagnostic algorithms based on the 12 lead electrocardiogram (ECG) often struggle with precise determination of AP locations. In order to gain insight into the mechanisms underlying localization failures observed in current diagnostic algorithms, we employ a virtual cardiac model to elucidate the relationship between AP location and ECG morphology. We first introduce a cardiac model of electrophysiology that was specifically tailored to represent antegrade APs in the form of a short atrio-ventricular bypass tract. Locations of antegrade APs were then automatically swept across both ventricles in the virtual model to generate a synthetic ECG database consisting of 9271 signals. Regional grouping of antegrade APs revealed overarching morphological patterns originating from diverse cardiac regions. We then applied variance-based sensitivity analysis relying on polynomial chaos expansion on the ECG database to mathematically quantify how variation in AP location and timing relates to morphological variation in the 12 lead ECG. We utilized our mechanistic virtual model to showcase limitations of AP localization using standard ECG-based algorithms and provide mechanistic explanations through exemplary simulations. Our findings highlight the potential of virtual models of cardiac electrophysiology not only to deepen our understanding of the underlying mechanisms of Wolff-Parkinson-White syndrome but also to potentially enhance the diagnostic accuracy of ECG-based algorithms and facilitate personalized treatment planning.

The molecular-genetic characteristics of uropathogenic Escherichia coli isolated from pregnant women with asymptomatic bacteriuria

Introduction. Uropathogenic Escherichia coli (UPEC) are the dominant bacterial pathogens of urinary tract infections (UTIs). UPEC belong to different phylogenetic groups and have many virulence factors, the study of which, in conjuction with the assessment of their relationship with clinical forms of UTI, is necessary for a better understanding of the pathogenesis of UTI and the development of new diagnostic algorithms. Aim: determination of the molecular genetic characteristics of uropathogenic Escherichia coli isolated from pregnant women with asymptomatic bacteriuria. Materials and methods. Clinical isolates of uropathogenic E. coli (n = 70) from pregnant women with asymptomatic bacteriuria were included in the study. The PCR method was used to determine the belonging to phylogenetic groups and detect 15 virulence markers — genes associated with adhesion (fimH, papC, sfa, afa, focG); toxin synthesis (cnf 1, hlyA, sat, vat, usp); siderophores (fyuA, iroN, iuc); capsular antigen (kpsMII). To assess the statistical significance of differences, Fisher's exact test was used. Differences were considered statistically significant at a confidence interval of 95% (p 0.05). Results. Most of the UPEC isolates belonged to phylogroup B2 (51,4%) and were characterized by the detection of all UPEC-associated virulence factors included in this study; genes associated with adhesion (sfa, focG), invasins (ibeA), synthesis of toxins (hlyA, cnf1, vat, usp) and capsule (kpsMII), siderophores (fyuA, iroN, hlyA) were detected significantly more frequently (p 0.05). Two or more virulence determinants were detected in 93% of isolates. Conclusion. The identification of key determinants of virulence and/or a combination of virulence genes can be a prognostic marker for predicting the course of UTI, especially in pregnant women, and will expand diagnostic capabilities taking into account the virulent properties of the uropathogen.

Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study.

Primary immune thrombocytopenia (ITP) is an autoimmune bleeding disorder, and chemokines have been shown to be dysregulated in autoimmune disorders. We conducted a prospective analysis to identify potential chemokines that could enhance the diagnostic accuracy and bleeding evaluation in ITP patients. In the discovery cohort, a Luminex-based assay was employed to quantify concentrations of plasma multiple chemokines. These levels were subjected to comparative analysis using a cohort of 60 ITP patients and 17 patients with thrombocytopenia other than ITP (non-ITP). Additionally, comparative evaluation was conducted between a subgroup of 12 ITP patients characterised by bleeding episodes (ITP-B, as defined by an ITP-2016 bleeding grade ≥2) and 33 ITP patients without bleeding episodes (ITP-NB, as defined by an ITP-2016 bleeding grade ≤1). Machine learning algorithms further identified CCL20, interleukin-2, CCL26, CCL25, and CXCL1 as promising indicators for accurate diagnosis of ITP and CCL21, CXCL8, CXCL10, CCL8, CCL3, and CCL15 as biomarkers for assessing bleeding risk in ITP patients. The results were confirmed using enzyme-linked immunosorbent assays in a validation cohort (43 ITP patients and 19 non-ITP patients). Overall, the findings suggest that specific chemokines show promise as potential biomarkers for diagnosis and bleeding evaluation in ITP patients.

Complement system activation: bridging physiology, pathophysiology, and therapy.

The complement system is a set of over 50 proteins that constitutes an essential part of the innate immune system. Complement system activation involves an organized proteolytic cascade. Overactivation of complement system activation is the main pathogenic mechanism of several diseases and contributes to the manifestations of many other conditions. This review describes the normal complement system and the role for complement dysregulation in critical illnesses, notably sepsis and acute respiratory distress syndrome. Complement activation is involved in the immune system response to pathogens but, when excessive, can contribute to tissue damage, runaway inflammation, and capillary leakage syndrome. Complement overactivation may play a key role in severe forms of coronavirus disease 2019 (COVID-19). Two diseases whose manifestations are mainly caused by complement overactivation, namely, atypical hemolytic and uremic syndrome (aHUS) and myasthenia gravis, are discussed. A diagnostic algorithm for aHUS is provided. Early complement-inhibiting therapy has been proven effective. When renal transplantation is required, complement-inhibiting drugs can be used prophylactically to prevent aHUS recurrence. Similarly, acetylcholine-receptor autoantibody-positive generalized myasthenia gravis involves complement system overactivation and responds to complement inhibition. The two main complement inhibitors used in to date routine are eculizumab and ravulizumab. The main adverse event is Neisseria infection, which is rare and preventable, but can be fatal. The complement system is crucial to health but, when overactivated, can cause or contribute to disease. Effective complement inhibitors are now available, although additional data are required to determine optimal regimens. Further research is also needed to better understand the complement system, develop advanced diagnostic tools, and identify markers that allow the personalization of treatment strategies.

Patellar Sleeve Fracture: An Update of Literature

Patellar sleeve fractures, though relatively rare, present unique challenges in diagnosis and management. This review aims to provide a comprehensive overview of the current understanding of patellar sleeve fractures, focusing on their epidemiology, clinical presentation, imaging, and management strategies. Epidemiologically, these fractures are uncommon, representing approximately 1% of all fractures in pediatric patients, yet they account for 50% of all patella fractures in this population. They predominantly affect adolescents, with a peak incidence around 12.7 years of age, and are more common in boys, occurring at a ratio of 3 to 5:1. Understanding these demographic patterns is crucial for early recognition and appropriate management. Clinically, patellar sleeve fractures typically present with the sudden onset of severe pain, often associated with explosive activities such as jumping. However, diagnosis can be challenging, particularly in cases with minimal displacement or where alternative muscle groups compensate for the injury. Differential diagnosis is essential, and clinicians should be vigilant for signs such as palpable gaps at the lower pole of the patella and patella alta. Imaging modalities play a vital role in diagnosis, with plain X-rays often revealing no bony damage. Ultrasonography may offer a cost-effective alternative, especially in cases where radiographic findings are inconclusive. Advanced imaging techniques such as MRI can assist in characterizing the extent of the injury and assessing for associated complications. Management strategies encompass a spectrum of approaches, ranging from conservative measures such as immobilization and physical therapy to surgical interventions, including open reduction and internal fixation or arthroscopic surgery. The choice of treatment depends on various factors, including the fracture pattern, displacement, patient age, activity level, and associated injuries. Despite advancements in diagnosis and treatment, the optimal management of patellar sleeve fractures remains a clinical challenge. Further research is warranted to elucidate optimal algorithms for diagnosis and treatment, with the ultimate goal of improving outcomes and reducing the risk of long-term complications associated with this rare but clinically significant knee injury.

Modification and Validation of an Autism Observational Assessment Including ADOS-2® for Use with Children with Visual Impairment.

Children with visual impairment (VI) are at risk of autism spectrum disorder (ASD); however standard observational diagnostic assessments are not validated for this population. The primary objective of the study is to validate a modified version of the Autism Diagnostic Observation Schedule (ADOS-2®, Module 3), for children with VI. A cross-sectional observational study was undertaken with 100 (mean 5½ years, SD 10.44 months, range 4-7 years; 59 (59%) males) children with congenital disorders of the peripheral visual system with moderate/severe-profound VI. As the primary objective, 83 (83%) who were 'verbally fluent' were assessed with the modified ADOS-2® (Module 3). Their scores were investigated for reliability, construct and criterion validity against expert clinician formulation and parent-rated social and communication questionnaires (Social Responsiveness Scale-2, SRS-2; Children's Communication Checklist-2). The secondary objective with the total sample was to report on frequency and distribution of ASD ratings in this VI population. The modified ADOS-2® (Module 3) was found to have strong internal coherence and construct validity (two factor model) and inter-rater reliability. A new VI diagnostic algorithm was established which showed high sensitivity and specificity against clinician formulation. Using the best cut-off threshold for 'High Risk for ASD', strong concurrent criterion validity was found according to parent-rated scores on the SRS-2. The modified ADOS-2® (Module 3) was shown to have promising reliability and validity in establishing children at 'High Risk of ASD' in this vulnerable population. Elevated rates of ASD were found across the sample, in line with previous estimates.

EP198 - Negative appendicectomy: A cohort study

Abstract Aims Negative appendectomy is charaterized as removal of normal appendix histopatholigically. Diagnosis of appendicitis remains a challenge, despites improved diagnostic algorithms (including scoring systems, serological & radiological tests), negative appendectomy rate remains < 20%. The aim of the study is to assess negative appendicectomy at a single centre. Methods Cohort study was carried out on all appendicectomies from Mar’2020 to Jan’2024. Descriptive demography & post-operative outcomes were evaluated for negative appendicectomies (Histopathological HPA confirmed normal appendix), all other appendicectomies (HPA confirmed appendicitis) were recruited as controls. Results Normal HPA(n = 41) Appendicitis HPA(n = 477) Mann-Whitney U(p value) Age(yrs) 26.4 36.7 < 0.005 Sex(M : F) 16 : 25 235 : 242 NS BMI(kg/m2) 24.7 25.5 NS GP 8 135 NS A & E 33 342 NS WCC(x109/L) 10.7 13.5 < 0.0001 CRP(mg/L) 43.4 ± 10.5 68.3 ± 3.9 < 0.005 Open(n) 0 8 NS Lap(n) 41 469 NS ASA(median) 1 1 NS Diagnostic(n) Clinical 0 33 USS scan 23 117 < 0.001 CT scan 18 327 < 0.01 AB (days) Inpatient 2 ± 0.5 2 ± 1 NS Discharge 0 ± 2 ± 2.5 < 0.005 Operation time (mins) 66.2 75.7 < 0.01 LOS (days) (med) 2 2 NS Appendix HPA (mm) Length 62.4 67.0 NS Diameter 8.6 11.5 < 0.0001 Cost (£) 3376 4341 < 0.05 Conclusions Despite radiological diagnostics, the negative appendicectomy rate was 7.9 %. Laparoscopy offers an additional diagnostic modality especially in women & post op recovery is quicker. The negative appendicectomy rate has been declining in recent years, but cannot be abolished. A negative appendicectomy rate of < 10 % must be deemed acceptable, to achieve a 90 % therapeutic appendectomy (HPA confirmed appendicitis) rate.