Accurate Scoring System Research Articles

Training and Implementation of Subjective Questions Scoring System Based on the Baidu Qianfan Model Platform

Leveraging the Baidu Qianfan model platform, this paper designs and implements a highly efficient and accurate scoring system for subjective questions, focusing primarily on questions in the field of computer network technology. The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques, such as supervised fine-tuning. In the data preparation phase, a comprehensive collection of subjective data related to computer network technology is gathered, cleaned, and labeled. During model training and evaluation, optimal hyperparameters and tuning strategies are applied, resulting in a model capable of scoring with high accuracy. Evaluation results demonstrate that the proposed model performs well across multiple dimensions—content, expression, and development scores—yielding results comparable to those of manual scoring.

Construction of a novel mitochondrial oxidative stress-related genes prognostic system and molecular subtype characterization for breast cancer

PurposeBreast cancer (BRCA) is the most common malignant tumor among women, characterized by high incidence rates and mortality rates. Oxidative stress and immunity, particularly in relation to mitochondria, have emerged as pivotal factors in breast carcinogenesis. Nonetheless, limited research has explored the specific contribution of mitochondrial oxidative stress to the prognosis of BRCA.MethodIn this study, we conducted univariate and multivariate Cox regression analyses to pinpoint independent prognostic genes associated with mitochondrial oxidative stress (MOSRGs) and their correlation with BRCA clinical outcomes. Subsequently, we developed a robust and accurate MOS scoring system for BRCA patients based on these identified independent prognostic MOSRGs.ResultOur findings were further substantiated by immune infiltration and somatic mutation analyses, providing additional evidence that the MOS scoring system holds predictive value for clinical outcomes in patients and correlates directly with three subtypes of BRCA. In vitro experiments in the MCF7 cell and breast tissue further verified the mRNA and protein expression level of independent prognostic genes, validating the consistency of the MOS prognostic signatures in BRCA.ConclusionThis research has unveiled a novel prognostic scoring system, providing valuable insights for improving patient prognosis assessment and developing individualized treatment strategies in BRCA patients.

Deciphering the molecular heterogeneity of intermediate- and (very-)high-risk non-muscle-invasive bladder cancer using multi-layered -omics studies.

Bladder cancer (BC) is the most common malignancy of the urinary tract. About 75% of all BC patients present with non-muscle-invasive BC (NMIBC), of which up to 70% will recur, and 15% will progress in stage and grade. As the recurrence and progression rates of NMIBC are strongly associated with some clinical and pathological factors, several risk stratification models have been developed to individually predict the short- and long-term risks of disease recurrence and progression. The NMIBC patients are stratified into four risk groups as low-, intermediate-, high-risk, and very high-risk by the European Association of Urology (EAU). Significant heterogeneity in terms of oncological outcomes and prognosis has been observed among NMIBC patients within the same EAU risk group, which has been partly attributed to the intrinsic heterogeneity of BC at the molecular level. Currently, we have a poor understanding of how to distinguish intermediate- and (very-)high-risk NMIBC with poor outcomes from those with a more benign disease course and lack predictive/prognostic tools that can specifically stratify them according to their pathologic and molecular properties. There is an unmet need for developing a more accurate scoring system that considers the treatment they receive after TURBT to enable their better stratification for further follow-up regimens and treatment selection, based also on a better response prediction to the treatment. Based on these facts, by employing a multi-layered -omics (namely, genomics, epigenetics, transcriptomics, proteomics, lipidomics, metabolomics) and immunohistopathology approach, we hypothesize to decipher molecular heterogeneity of intermediate- and (very-)high-risk NMIBC and to better stratify the patients with this disease. A combination of different -omics will provide a more detailed and multi-dimensional characterization of the tumor and represent the broad spectrum of NMIBC phenotypes, which will help to decipher the molecular heterogeneity of intermediate- and (very-)high-risk NMIBC. We think that this combinatorial multi-omics approach has the potential to improve the prediction of recurrence and progression with higher precision and to develop a molecular feature-based algorithm for stratifying the patients properly and guiding their therapeutic interventions in a personalized manner.

Development and validation of a relatively accurate gastric cancer high-risk group screening scoring system in urban residents.

Our study aimed to develop a relatively accurate gastric cancer (GC) screening score system for urban residents and to validate the screening efficacy. The present study included a derivation cohort (n = 3406) and a validation cohort (n = 868) of urban residents. Applying the full-stack engineering intelligent system platform of Hualian Health Big Data of Shandong University, the clinical physical examination data of subjects were collected. Univariate and multivariate analyses were used to identify risk factors for GC, and subsequently, an optimal prediction rule was established to create three distinct scoring systems. In the GC-risk scoring system I, age, plateletocrit (PCT), carcinoembryonic antigen (CEA), glucose, albumin, creatinine were independent risk factors of GC, with scores ranging from 0 to 28 and optimal cut-off was 15.5. The second scoring system consisted of age, PCT, RDW-CV, CEA, glucose, albumin, and creatinine, with scores ranging from 0 to 31. The optimal cut-off point was determined to be 15.5. The scoring system III comprise of age, sex, PCT, RDW CV, CEA, glucose, with scores ranging from 0 to 21 and optimal cut-off was 10.5. All three scoring systems demonstrated excellent discrimination for GC, achieving an AUC of 0.884, 0.89, and 0.876, respectively. In external validation, the AUC values were 0.654, 0.658, and 0.714. Notably, the GC-risk scoring system III exhibited the highest screening efficiency. Urban residents benefited from the effective and verified GC-risk scoring systems, which demonstrated excellent performance in identifying individuals with an elevated risk of GC.

Development and validation of a prognostic scoring system for 1-year mortality in older patients with hip fractures.

Hip fractures in older people result in increased mortality. We developed and validated an accurate and simple prognostic scoring system for hip fractures that can be used preoperatively. Retrospective study. Multicenter. Patients aged ≥65years with hip fractures who underwent surgery between 2011 and 2021 were enrolled. The significant factors were determined with logistic regression analysis, and a scoring system was developed. The patients were classified into three groups, and a log-rank test was performed to evaluate 1-year survival rates. The model was internally and externally validated using the 5-fold cross-validation and data from another hospital, respectively. We included 1026 patients. The analysis revealed eight significant prognostic factors: sex, body mass index, history of chronic heart failure and malignancy, activities of daily living (ADLs) before injury, hemoglobin and the prognostic nutritional index (PNI) at injury, and the American Society of Anesthesiologists Physical Status. The area under the receiver operating characteristic curve (AUC) after internal validation was 0.853. The external validation data consisted of 110 patients. The AUC of the model for the validation data was 0.905, showing outstanding discrimination. Sensitivity and specificity were 88.7% vs. 100% and 93.3% vs. 95.2% for the development and validation data, respectively. We developed and validated an accurate and simple prognostic scoring system for hip fractures using only preoperative factors. Our findings highlight PNI as an important predictor of prognosis in hip fracture patients.

28. Accurate scoring system predicts cord-level intraoperative neuromonitoring loss during spinal deformity surgery: a machine learning algorithm

28. Accurate scoring system predicts cord-level intraoperative neuromonitoring loss during spinal deformity surgery: a machine learning algorithm

Validation of the NULL-EASE Score for Predicting Survival in a Multiethnic Asian Cohort of Out-of-Hospital Cardiac Arrest.

NULL-PLEASE is a simple and accurate clinical scoring system developed in a Western cohort of patients with out-of-hospital cardiac arrest (OHCA). The need for blood test results limits its use in early stages of care. We adapted and validated the NULL-EASE score (without laboratory tests) in an independent, multiethnic Asian cohort of patients with out-of-hospital cardiac arrest. Using the Singapore OHCA registry, we included consecutive adult patients with out-of-hospital cardiac arrest who survived to hospital admission between April 2010 to December 2020. In-hospital mortality was the primary outcome. Logistic regression analyses were performed with STATA MP v18. Of 3274 patients (median age 64, interquartile range 54-75; 67.9% male) included in the study, 2476 (75.6%) had in-hospital mortality. NULL-EASE score was significantly lower in survivors compared with nonsurvivors (median [inter quartile range] 3 [1-4] versus 6 [4-7]; P<0.001) and strongly predictive of mortality (area under receiver operating characteristic, 0.81 [95% CI, 0.79-0.83]). Patients with a score of ≥3 had higher odds of mortality (adjusted odds ratio, 8.11 [95% CI, 6.57-10.00]) when compared with those with lower scores, after adjusting for sex, residential arrest, diabetes, respiratory disease, and stroke. A cutoff value of ≥3 predicted mortality with 92.2% sensitivity, 84.1% positive predictive value, 46.1% specificity, and 65.5% negative predictive value. NULL-EASE score performed better in younger compared with older patients (area under receiver operating characteristic, 0.82 versus 0.77, P=0.008). The NULL-EASE score has good discriminative performance (sensitivity and accuracy) in our multiethnic Asian cohort, but the cutoff of ≥3 falls short of the desired level of specificity for therapeutic decision-making.

New Electrocardiographic Score for Predicting the Site of Coronary Artery Occlusion in Inferior Wall Acute Myocardial Infarction.

An electrocardiogram (ECG) was used to determine the type of acute myocardial infarction (MI) and locate the culprit vessel. Inferior wall myocardial infarction (IWMI) patients with the right coronary artery (RCA) as the culprit vessel may have a worse clinical prognosis than the left circumflex artery (LCx). We aimed to develop a new, simple, accurate scoring system to localize the RCA. From January 2018 to January 2020, patients were admitted to the Department of Cardiology of TEDA International Cardiovascular Hospital and the Second Hospital of Tianjin Medical University due to IWMI and coronary angiography confirmed that the infarct-related vessel was a single RCA or LCx. ECG of patients before percutaneous coronary intervention (PCI) was collected to quantitatively analyze the characteristics of ST-segment deviation in non-inferior wall leads (N-IWL) and establish the RCA score in N-IWL. 149 patients were enrolled, including 83 in the RCA group and 66 in the LCx group. Finally, ST-segment depression (ST↓) lead I, aVR, V1, and V6, and ST↓≥ 1mm in lead V4 were found to be associated with the location of the RCA. The sensitivity, specificity, and area under the curve (AUC) of the N-IWL RCA scoring system were 77.1%, 72.7%, and 0.83, respectively. The diagnostic ability of the scoring system was better than that of other algorithms and scoring systems. ECG helps identify the RCA in patients with IWMI before PCI. The N-IWL RCA score may help identify the culprit vessel as the RCA in patients with IWMI.

Non-pancreatic hyperlipasemia: A puzzling clinical entity.

Increased lipase level is a serological hallmark of the diagnosis of acute pancreatitis (AP) but can be detected in various other diseases associated with lipase leakage due to inflammation of organs surrounding the pancreas or reduced renal clearance and/or hepatic metabolism. This non-pancreatic hyperlipasemia (NPHL) is puzzling for attending physicians during the diagnostic procedure for AP. It would be clinically beneficial to identify the clinical and laboratory variables that hinder the accuracy of lipase diagnosis with the aim of improve it. A more precise description of the NPHL condition could potentially provide prognostic factors for adverse outcomes which is currently lacking. To perform a detailed clinical and laboratory characterization of NPHL in a large prospective patient cohort with an assessment of parameters determining disease outcomes. A Hungarian patient cohort with serum lipase levels at least three times higher than the upper limit of normal (ULN) was prospectively evaluated over 31 months. Patients were identified using daily electronic laboratory reports developed to support an ongoing observational, multicenter, prospective cohort study called the EASY trial (ISRCTN10525246) to establish a simple, easy, and accurate clinical scoring system for early prognostication of AP. Diagnosis of NPHL was established based on ≥ 3 × ULN serum lipase level in the absence of abdominal pain or abdominal imaging results characteristic of pancreatitis. A total of 808 patients [male, n = 420 (52%); median age (IQR): 65 (51-75) years] were diagnosed with ≥ 3 × ULN serum lipase levels. A total of 392 patients had AP, whereas 401 had NPHL with more than 20 different etiologies. Sepsis and acute kidney injury (AKI) were the most prevalent etiologies of NPHL (27.7% and 33.2%, respectively). The best discriminative cut-off value for lipase was ≥ 666 U/L (sensitivity, 71.4%; specificity, 88.8%). The presence of AKI or sepsis negatively affected the diagnostic performance of lipase. NPHL was associated with a higher in-hospital mortality than AP (22.4% vs 5.1%, P < 0.001). In multivariate binary logistic regression, not lipase but increased amylase level (> 244 U/L) and neutrophil-to-lymphocyte ratio (NLR) (> 10.37, OR: 3.71, 95%CI: 2.006-6.863, P < 0.001), decreased albumin level, age, and presence of sepsis were independent risk factors for in-hospital mortality in NPHL. NPHL is a common cause of lipase elevation and is associated with high mortality rates. Increased NLR value was associated with the highest mortality risk. The presence of sepsis/AKI significantly deteriorates the serological differentiation of AP from NPHL.

Optimal policies for nutrition administration to very low birth weight infants

AbstractVery low birth weight (VLBW) infants (birth weight 1500 grams) are at risk of postnatal growth restriction. Understanding how nutrition is associated with growth and how these associations vary based on infant characteristics and comorbidities is important to reduce postnatal growth restriction. We propose a three‐step analytical framework: (i) We use unsupervised Clustering techniques to identify subgroups within a cohort of VLBW infants based on infant characteristics, diagnoses, and treatments. (ii) For each cluster, we use Multilevel Modeling to explore the associations between calorie or protein intake and growth velocity (GV) for varying time windows. (iii) We build Mixed‐Integer Programming Models to achieve simple rule‐based policies that physicians can use to classify infants into one of the identified subgroups. We use electronic health records from VLBW infants at Lurie Children's Hospital in Chicago, IL, born between 2011 and 2014. We find that clustering separates infants into two clusters, with Cluster 1 having smaller infants with more comorbidities than Cluster 2. Initial clustering on only sex and birth weight provides results similar to clustering on later‐life diagnoses and treatments. Multilevel models with Clustering provide better model fit than models without clustering. For Cluster 1, there is a significant association between GV and protein but not calories. For Cluster 2, both protein and calories are individually associated with growth. We develop accurate and sparse scoring systems to help clinicians identify infants at higher risk of growth restriction and consider nutrition regimens accordingly.

Reliability of Diagnosis of Acute Appendicitis by Clinical Assessment Through Modified ALVARADO Vs RIPASA Scoring System at Combined Military Hospital, Rawalpindi

Objective: To determine the diagnostic accuracy of RIPASA (Raja Isteri Pengiran Anak Saleha Appendicitis) andModified ALVARADO score in the diagnosis of acute appendicitis by using histopathology as a gold standard.Study Design: A comparative cross-sectional study.Place and Duration of Study: The study was carried out at the Department of Surgery, Combined MilitaryHospital (CMH) Rawalpindi, Pakistan from January 2020 to August 2020.Methods: A total of 126 patients suspected of having acute appendicitis were included. All patients who hadmet the inclusion criteria were chosen via the process of consecutive sampling. Patients who had presentedwith right iliac fossa pain, migration of pain, anorexia, nausea, and vomiting and were admitted to the hospitalwere assessed prospectively using RIPASA and Modified ALVARADO scores. RIPASA (Raja Isteri Pengiran AnakSaleha Appendicitis) score &gt; 7.5 and Modified ALVARADO score &gt; 7 were used to diagnose acute appendicitis.The diagnosis was confirmed postoperatively using a histopathological report. Every scoring system wasassessed for validity by calculating sensitivity, specificity, diagnostic accuracy, negative predictive value, andpositive predictive value.Result: The results obtained from individuals recruited in the study showthat out of 126 patients, 70(55.6%)were male and 56(44.4%) were female. The mean age was 33.25±8.19 years. 83.3% of patients having RIPASA(Raja Isteri Pengiran Anak Saleha Appendicitis) score (≥7.5) and 68.3% of patients having Modified ALVARADOscore (≥7) have met the criteria for acute appendicitis. The sensitivity and specificity of the RIPASA (Raja IsteriPengiran Anak Saleha Appendicitis) score were 90.9% and 73.3% compared with 73.8% and 73.3% of theModified Alvarado score.Conclusion: The RIPASA (Raja Isteri Pengiran Anak Saleha Appendicitis) scoring system is a more convenient,accurate, and specific scoring system for our population than the Modified ALVARADO scoring system. How to cite this: Qamar R, Mahmood K, Javed R, Sher F, Tufail I.Reliability of Diagnosis of Acute Appendicitis by Clinical Assessment Through Modified Alvarado Vs Ripasa Scoring System. Life and Science.2024; 5(2): 193-198. doi: http://doi.org/10.37185/LnS.1.1.346

Feeding intolerance scoring system in very preterm and very low birth weight infants using clinical and ultrasound findings.

Very preterm infants are at a high risk of developing feeding intolerance; however, there are no widely accepted definitions of feeding intolerance. This study aimed to develop a scoring system for feeding intolerance in very preterm infants by combining clinical symptoms and ultrasonography (US) findings. This prospective cohort study included very preterm and/or very low birth weight infants. We defined feeding intolerance as the inability to achieve full feeding (150 ml/kg/day) by 14 days of life. The clinical findings included vomiting, abdominal distention, and gastric fluid color. US findings included intestinal peristaltic frequency, gastric residual volume, peak systolic velocity, and the resistive index of the superior mesenteric artery. We conducted multivariate analyses to evaluate the potential predictors and developed a scoring system to predict feeding intolerance. A total of 156 infants fulfilled the eligibility criteria; however, 16 dropped out due to death. The proportion of patients with feeding intolerance was 60 (42.8%). Based on the predictive ability, predictors of feeding intolerance were determined using data from the US at 5-7 days of age. According to multivariate analysis, the final model consisted of 5 predictors: abdominal distention (score 1), hemorrhagic gastric fluid (score 2), intestinal peristaltic movement ≤18x/2 min (score 2), gastric fluid residue >25% (score 2), and resistive index >0.785 (score 2). A score equal to or above 5 indicated an increased risk of feeding intolerance with a positive predictive value of 84.4% (95% confidence interval:73.9-95.0) and a negative predictive value of 76.8% (95% confidence interval:68.4-85.3). The scoring system had good discrimination (area under the receiver operating characteristic curve:0.90) and calibration (p = 0.530) abilities. This study developed an objective, accurate, easy, and safe scoring system for predicting feeding intolerance based on clinical findings, 2D US, and color Doppler US.

Predicting Mortality for COVID-19 Patients Admitted to an Emergency Department Using Early Warning Scores in Poland.

COVID-19 disease is characterised by a wide range of symptoms that in most cases resemble flu or cold. Early detection of infections, monitoring of patients' conditions, and identification of patients with worsening symptoms became crucial during the peak of pandemic. The aim of this study was to assess and compare the performance of common early warning scores at the time of admission to an emergency department in predicting in-hospital mortality in patients with COVID-19. The study was based on a retrospective analysis of patients with SARS-CoV-2 infection admitted to an emergency department between March 2020 and April 2022. The prognostic value of early warning scores in predicting in-hospital mortality was assessed using the receiver operating characteristic (ROC) curve. Patients' median age was 59 years, and 52.33% were male. Among all the EWS we assessed, REMS had the highest overall accuracy (AUC 0.84 (0.83-0.85)) and the highest NPV (97.4%). REMS was the most accurate scoring system, characterised by the highest discriminative power and negative predictive value compared to the other analysed scoring systems. Incorporating these tools into clinical practice in a hospital emergency department could provide more effective assessment of mortality and, consequently, avoid delayed medical assistance.

Prediction performance of scoring systems after out-of-hospital cardiac arrest: A systematic review and meta-analysis.

Ongoing changes in post resuscitation medicine and society create a range of ethical challenges for clinicians. Withdrawal of life-sustaining treatment is a very sensitive, complex decision to be made by the treatment team and the relatives together. According to the guidelines, prognostication after cardiopulmonary resuscitation should be based on a combination of clinical examination, biomarkers, imaging, and electrophysiological testing. Several prognostic scores exist to predict neurological and mortality outcome in post-cardiac arrest patients. We aimed to perform a meta-analysis and systematic review of current scoring systems used after out-of-hospital cardiac arrest (OHCA). Our systematic search was conducted in four databases: Medline, Embase, Central and Scopus on 24th April 2023. The patient population consisted of successfully resuscitated adult patients after OHCA. We included all prognostic scoring systems in our analysis suitable to estimate neurologic function as the primary outcome and mortality as the secondary outcome. For each score and outcome, we collected the AUC (area under curve) values and their CIs (confidence iterval) and performed a random-effects meta-analysis to obtain pooled AUC estimates with 95% CI. To visualize the trade-off between sensitivity and specificity achieved using different thresholds, we created the Summary Receiver Operating Characteristic (SROC) curves. 24,479 records were identified, 51 of which met the selection criteria and were included in the qualitative analysis. Of these, 24 studies were included in the quantitative synthesis. The performance of CAHP (Cardiac Arrest Hospital Prognosis) (0.876 [0.853-0.898]) and OHCA (0.840 [0.824-0.856]) was good to predict neurological outcome at hospital discharge, and TTM (Targeted Temperature Management) (0.880 [0.844-0.916]), CAHP (0.843 [0.771-0.915]) and OHCA (0.811 [0.759-0.863]) scores predicted good the 6-month neurological outcome. We were able to confirm the superiority of the CAHP score especially in the high specificity range based on our sensitivity and specificity analysis. Based on our results CAHP is the most accurate scoring system for predicting the neurological outcome at hospital discharge and is a bit less accurate than TTM score for the 6-month outcome. We recommend the use of the CAHP scoring system in everyday clinical practice not only because of its accuracy and the best performance concerning specificity but also because of the rapid and easy availability of the necessary clinical data for the calculation.

P388 Eliakim score performance among patients with active Crohn’s disease

Abstract Background Pan-enteric capsule endoscopy [PEC] (PillCam Crohn’s, Medtronic, USA) is a useful tool for disease assessment and monitoring in Crohn’s disease (CD). We have previously demonstrated the reliability and accuracy of Eliakim score (ES) in the assessment of CD-activity among patients with quiescent disease. We aimed to examine the performance of ES among patients who experienced clinical flare, as well as its responsiveness and sensitivity to change during follow-up (≤52weeks). Methods Patients with CD who have been started on biologics were included. They were prospectively followed with clinical visits, biomarkers and PEC at baseline, and after 14 and 52 weeks. At each time-point Crohn’s disease activity index (CDAI), C-reactive protein (CRP) and fecal-calprotectin (FC) levels were collected, and Lewis score (LS) and ES were calculated (independently reviewed by two experienced readers). Inter-class classification (ICC) was used to asses for agreement between readers. Baseline correlations were obtained using the Spearman's correlation. Repeated-measures correlation (RMC) was calculated using the rmcorr package in R (version 3.3-1). William's test was used to assess difference between correlations. Results Seventy-four patients were included (median age of 31.0 [22.5-46.5] years, male–50%). 142 PEC procedures were performed (Baseline– 62, week 14– 58, week 52– 22). Inter-rater agreement between both readers was high for both the LS and ES (ICC of 0.872 [p&amp;lt;0.001] and 0.925 [&amp;lt;0.001], respectively). At baseline, the correlations between FC and ES (r=0.509 [p&amp;lt;0.001]) and FC and LS (r=0.467 [p&amp;lt;0.001]) were comparable (p=0.68). RMC between biomarkers and ES were higher than between biomarkers and LS (CRP: r=0.376 [p=0.005] vs. r=0.204 [p=0.138], FC: r=0.549 [p&amp;lt;0.001] vs. r=0.412 [p=0.003], for ES and LS, [p=0.034/0.021], respectively), while no difference was observed (p=0.77) with regard to CDAI score (r=0.381 [p=0.007] vs. r=0.346 [p=0.015]). Performing sub-group analysis restricted to procedures which were confined to the small bowel (n=88), RMC was numerically higher (p=0.12) between FC and ES (r=0.590 [p=0.001]) than between FC and LS (r=0.470 [p=0.010]). Conclusion ES is a reliable and accurate scoring system in assessing mucosal inflammation in patients with active CD, and might have a higher sensitivity to clinical/inflammatory biomarker changes over time compared to LS.

MRI-based Neuropathy Score Reporting And Data System (NS-RADS): multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers.

To determine the inter-reader reliability and diagnostic performance of classification and severity scales of Neuropathy Score Reporting And Data System (NS-RADS) among readers of differing experience levels after limited teaching of the scoring system. This is a multi-institutional, cross-sectional, retrospective study of MRI cases of proven peripheral neuropathy (PN) conditions. Thirty-two radiology readers with varying experience levels were recruited from different institutions. Each reader attended and received a structured presentation that described the NS-RADS classification system containing examples and reviewed published articles on this subject. The readers were then asked to perform NS-RADS scoring with recording of category, subcategory, and most likely diagnosis. Inter-reader agreements were evaluated by Conger's kappa and diagnostic accuracy was calculated for each reader as percent correct diagnosis. A linear mixed model was used to estimate and compare accuracy between trainees and attendings. Across all readers, agreement was good for NS-RADS category and moderate for subcategory. Inter-reader agreement of trainees was comparable to attendings (0.65 vs 0.65). Reader accuracy for attendings was 75% (95% CI 73%, 77%), slightly higher than for trainees (71% (69%, 72%), p = 0.0006) for nerves and comparable for muscles (attendings, 87.5% (95% CI 86.1-88.8%) and trainees, 86.6% (95% CI 85.2-87.9%), p = 0.4). NS-RADS accuracy was also higher than average accuracy for the most plausible diagnosis for attending radiologists at 67% (95% CI 63%, 71%) and for trainees at 65% (95% CI 60%, 69%) (p = 0.036). Non-expert radiologists interpreted PN conditions with good accuracy and moderate-to-good inter-reader reliability using the NS-RADS scoring system. The Neuropathy Score Reporting And Data System (NS-RADS) is an accurate and reliable MRI-based image scoring system for practical use for the diagnosis and grading of severity of peripheral neuromuscular disorders by both experienced and general radiologists. • The Neuropathy Score Reporting And Data System (NS-RADS) can be used effectively by non-expert radiologists to categorize peripheral neuropathy. • Across 32 different experience-level readers, the agreement was good for NS-RADS category and moderate for NS-RADS subcategory. • NS-RADS accuracy was higher than the average accuracy for the most plausible diagnosis for both attending radiologists and trainees (at 75%, 71% and 65%, 65%, respectively).

Modified Harborview Risk Score improves ease in predicting mortality after ruptured abdominal aortic aneurysm repair

ObjectiveThe Harborview Risk Score (HRS) is a simple, accurate 4-point preoperative risk scoring system used to predict 30-day mortality following ruptured abdominal aortic aneurysm (rAAA) repair. The HRS assigns 1 point for each of the following: age >76 years, pH <7.2, creatinine >2 mg/dL, and any episode of severe hypotension (systolic blood pressure <70 mmHg). One potential limitation of this risk scoring system is that arterial blood gas (ABG) analysis is required to determine arterial pH. Because ABG analysis is not routinely performed prior to patient transfer or rAAA repair, we sought to determine if the HRS could be modified by replacing pH with the international normalized ratio (INR), a factor that has been previously shown to have a strong and independent association with 30-day death after rAAA repair. MethodsA retrospective review of all rAAA repairs done at a single academic medical center between January 2002 and December 2018 was performed. Our traditional HRS was compared with a modified score, in which pH <7.2 was replaced with INR >1.8. Patients were included if they underwent rAAA repair (open or endovascular), and if they had preoperative laboratory values available to calculate both the traditional and modified HRS. ResultsDuring the 17-year study period, 360 of 391 repairs met inclusion criteria. Observed 30-day mortality using the modified scoring system was 17% (18/106) for a score of 0 points, 43% (53/122) for 1 point, 54% (52/96) for 2 points, 84% (27/32) for 3 points, and 100% (4/4) for 4 points. Receiver operating characteristic analysis revealed similar ability of the two scoring systems to predict 30-day death: there was no significant difference in the area under the curve (AUC) comparing the traditional (AUC = 0.74) and modified (AUC = 0.72) HRS (P = .3). ConclusionsAlthough previously validated among a modern cohort of patients with rAAA, our traditional 4-point risk score is limited in real-world use by the need for an ABG. Substituting INR for pH improves the usefulness of our risk scoring system without compromising accuracy in predicting 30-day mortality after rAAA repair.

The BE-ALIVE score: predicting 30-day mortality in patients presenting with acute coronary syndromes and cardiogenic shock

Abstract Aims The aim of this study was to create and validate a simple scoring system for predicting 30-day mortality in patients presenting with acute coronary syndromes (ACS) and any sign of shock at their moment of admission. Methods and results 2407 consecutive patients presenting to Harefield Hospital with clinical features of cardiogenic shock, from January 2011 to December 2020, were studied to build the training set. 30-day mortality was 17.2%. A scoring algorithm was built using binary logistic regression of variables available on admission and then converted to an additive risk score. The resultant scoring system is the BE-ALIVE score, which incorporates the following factors: Base Excess (1 point for &amp;lt; -2 mmols/L), Age (&amp;lt;65 years: 0 points, 65-74: 1 point, 75-84: 2 points, ³85: 3 points), Lactate (&amp;lt;2 mmols/L: 0 points, 2 - 4.9: 1 point, 5 - 9.9: 3 points, ³10: 6 points), Intubated (2 points), Left Ventricular function (mildly impaired or better: -1 point, moderately impaired: 1 point, severely impaired: 3 points) and External / out of hospital cardiac arrest (1 point). The scoring system was validated using a testing set of 515 patients presenting to Harefield hospital. The validation metrics were excellent with an AUC of 0.9, Brier score of 0.06 versus a naïve classifier of 0.15, Spiegelhalter’s z-statistic probability of 0.267 and a calibration slope of 1.08. Conclusion The BE-ALIVE score is a simple and accurate scoring system to predict 30-day mortality in patients presenting with ACS and shock.

The BE-ALIVE score: assessing 30-day mortality risk in patients presenting with acute coronary syndromes

AimTo create and validate a simple scoring system for predicting 30-day mortality in patients presenting with acute coronary syndromes (ACS) at their moment of admission.Methods and results2407 consecutive patients presenting...

Performance and diagnostic accuracy of scoring systems in adult patients with suspected appendicitis.

This study aims to determine the most accurate appendicitis scoring system and optimal cut-off points for each scoring system. This single-centred prospective cohort study was conducted from January-to-June 2021, involving all patients admitted on suspicion of appendicitis. All patients were scored according to the Alvarado score, Appendicitis Inflammatory Response (AIR) score, Raja Isteri Pengiran Anak Saleha (RIPASA) score and Adult Appendicitis score (AAS). The final diagnosis for each patient was recorded. Sensitivity and specificity were calculated for each system. Receiver operating characteristic (ROC) curve was constructed for each scoring system, and the area under the curve (AUC) was calculated. Optimal cut-off scores were calculated using Youden's Index. A total of 245 patients were recruited with 198 (80.8%) patients underwent surgery. RIPASA score had higher sensitivity and specificity than other scoring systems without being statistically significant (sensitivity 72.7%, specificity 62.3%, optimal score 8.5, AUC 0.724), followed by the AAS (sensitivity 60.2%, specificity 75.4%, optimal score 14, AUC 0.719), AIR score (sensitivity 76.7%, specificity 52.2%, optimal score 5, AUC 0.688) and Alvarado score (sensitivity 69.9%, specificity 62.3%, optimal score 5, AUC 0.681). Multiple logistic regression revealed anorexia (p-value 0.018), right iliac fossa tenderness (p-value 0.005) and guarding (p-value 0.047) as significant clinical factors independently associated with appendicitis. Appendicitis scoring systems have shown moderate sensitivity and specificity in our population. The RIPASA scoring system has shown to be the most sensitive, specific and easy-to-use scoring system in the Malaysian population whereas the AAS is most accurate in excluding low-risk patients.