Clinical Demographics Research Articles

Clinical and Demographic Characteristics of Patients Hospitalized for Decompensated Heart Failure with Extremely High NT-proBNP Levels

Background: NT-proBNP levels with a wide range at admission play both a diagnostic and a prognostic role in patients with HF. The differences regarding the clinical profiles and demography in decompensated HF patients according to NT-proBNP levels at admission are not clear. Methods: This study aimed to analyze and compare clinical profiles and demographics in patients hospitalized for decompensated heart failure according to levels of NT-proBNP at admission. The study included 302 patients hospitalized for decompensated HF who were divided into three groups based on admission NT-proBNP levels: group A (n = 46, with NT-proBNP level < 3000 pg/mL), group B (n = 130, NT-proBNP level between 3000–10,000 pg/mL), and group C (n = 126, NT-proBNP level > 10,000 pg/mL). Results: Patients hospitalized with decompensated HF and very high levels of NTproBNP, above 10,000 pg/mL at admission, are older, have a lower LVEF, higher NYHA class, more renal dysfunction, and longer hospital stay, resulting in a more severe clinical profile. Conclusions: The presence of very high levels of NT-proBNP may identify a category of patients with a more severe prognosis that requires more aggressive management and closer follow-up.

Teaching innovation: enhancing undergraduate student pharmacist consultation skills by introducing ‘Fishbowl’ prescribing workshops

Abstract Introduction The new ‘Standards for the initial education and training of pharmacists’1 outline the skills, knowledge, and attributes required to enable pharmacists to independently prescribe at the point of registration. Third-year MPharm students at the University of Nottingham have previously practised consultation skills in professional practice workshops, conducting shorter form, over the counter-type consultations. These lacked the depth required for pharmacy students to develop skills they will now need. Therefore, we identified a requirement for advanced consultation practice, including prescribing, alongside clinical history taking, to better prepare students to be prescribers. Creation of a new module occurred, ‘Pharmaceutical Care and Prescribing’, including ‘Fishbowl’ workshops. ‘Fishbowl’ is a small group teaching method where an individual student engages in a discussion, while observers form a circle around them2. Students were able to ‘tap out’ of consultations at any point, to discuss consultation direction with their peers. Five case studies were written to incorporate a variety of clinical conditions, patient demographics and clinical settings, with a key emphasis of holistic, patient-centred care. All third-year students were timetabled for five workshops, in groups of around 25. Facilitators regularly discussed consultation progress, outstanding care issues and gave feedback on areas done well or needing improvement. Aim Do students perceive ‘Fishbowl’ workshops to enhance their clinical history taking skills and prescribing knowledge? Methods Following the five workshops, all third-year students (n=256) were invited via email to complete a Microsoft Forms questionnaire, to evaluate the workshop aims . The questionnaire included ten 5-point Likert-scale questions and free-text answers. Primarily quantitative methods were used with free-text responses used to contextualise results. This study obtained ethical approval from the University of Nottingham, School of Pharmacy Postgraduate Research Projects Ethical Approval group. Results 82 students (32%) completed the questionnaire. 91% of students felt they helped practice taking a clinical history. 80% of students felt they better understood how to include share care decision making into their consultations. One student commented, they were ‘very thought-provoking sessions and easy to interact and learn from each other’. 67% said the sessions helped them to better understand the pharmacist’s role in prescribing. With regards to prescribing awareness, a student commented ‘It would have been nice to have scenarios where we prescribed a POM in the end for more of the sessions to help us get used to thinking like prescribers.’ 85% of students would recommend the teaching technique to other MPharm students, 76% felt these sessions should be introduced in earlier years of the MPharm course. A few students commented that the facilitation style varied considerably depending on academics involved. Discussion/Conclusion ‘Fishbowl’ method of teaching provides a suitable environment for practising clinical history taking and prescribing and were generally well received by students. Further work is needed to integrate this teaching technique earlier in the MPharm programme. Facilitator skills play a significant part in student engagement, we need to ensure there is appropriate staff training to run this session type. Limitations of the study include lack of comparison against other student teaching tools.

Clinical features and prognostic factors of IV combined small cell lung cancer: A propensity score matching analysis.

Nowadays, the characteristics and treatment of combined small-cell lung carcinoma (CSCLC) remain controversial. This study aimed to analyze the features of clinical demographics, survival outcomes and treatment modalities among IV CSCLC, IV SCLC and IV NSCLC, to provide more evidence for the study of IV CSCLC. All CSCLC, SCLC and NSCLC patient data were obtained from the SEER database (2010-2020). Pearson's χ2 test was used to compare the differences in clinical characteristics. Propensity score matching (PSM) was utilized to balance the bias of the variables between patients. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify prognostic factors. KM analysis was used to calculate survival. Adjusted analyses for the primary outcome of different treatment modalities of IV CSCLC, IV SCLC and IV NSCLC were performed using Cox regression models. A total of 493 patients with IV CSCLC, 35503 patients with SCLC, 122807 patients with IV NSCLC were included in this study. The demographic characteristics and tumor characteristics of the three groups were different. Before PSM, there were significant differences in OS and CSS among IV CSCLC, IV SCLC and IV NSCLC, After PSM, there was a significant difference in OS and CSS between the IV CSCLC and IV NSCLC. Risk/protective factors for OS and CSS were different in three groups. Chemotherapy, radiotherapy, and surgery can improve IV CSCLC's survival time. The combination of surgery and chemoradiotherapy treatment group for patients with IV CSCLC demonstrated best OS compared to control treatment groups, and the surgery combined chemotherapy treatment group exhibited the best CSS. Additionally, for select patients with stage IV CSCLC who have missed the window for surgical intervention at the time of initial diagnosis, chemoradiotherapy presents a viable and effective treatment option. The clinical characteristics IV CSCLC, IV SCLC and IV NSCLC were significantly different. The prognosis for IV CSCLC is notably poorer than IV NSCLC, similar to IV SCLC. Surgery combined therapy emerged as the preferred treatment modalities and chemoradiotherapy was a good choice for patients who have lost the indication of surgery for patients diagnosed with IV CSCLC.

Characteristics and Outcomes of ICU-admitted COVID-19 Patients in the Omicron and Alpha-dominated periods.

Comparing the outcomes of intensive care unit (ICU) admitted COVID-19 patients during the Alpha and Omicron-dominated periods. Patients with critical COVID-19 disease, requiring ICU admission from May to September 2021 and February to August 2022, were enrolled from a single medical center in Northern Taiwan. Clinical demographics, comorbidities, disease severity, and management strategies were recorded. The 28-day mortality from the two periods were compared both in the original and propensity score (PS)-matched cohort. Of 231 patients, 72 (31.2%) were from the Alpha period and 159 (68.8%) from the Omicron period. Patients in the Omicron period were older, had a lower body mass index, more comorbidities, higher disease severities, and increased 28-day mortality (26.4% vs. 13.9%, p=0.035). In multivariable analysis, the Omicron-dominated period was not identified as an independent factor associated with increased 28-day mortality. COVID-19 patients in Alpha- and Omicron-dominated periods had comparable 28-day mortality in PS-matched cohort (12.1% vs. 18.2%, p=0.733). Independent factors associated with 28-day mortality were a lower PF ratio (PF ratio <100, adjusted odds ratio [aOR] 2.68, 95% confidence interval, CI 1.21-5.94), septic shock ([aOR] 2.39, 95% CI 1.12-5.09) and absence of remdesivir ([aOR] 0.36, 95% CI 0.16-0.83). While patients in the Omicron period exhibited greater severity, the variant was not independently linked to higher 28-day mortality in ICU-admitted patients.

Angioprotein-like 3 and atheroma progression in statin-treated type 2 diabetic patients with coronary artery disease: the pre-specified analysis from the OPTIMAL randomized controlled trial

Abstract Introduction Despite guideline-recommended control of LDL-C with a statin, type 2 diabetic patients more likely cause cardiovascular events. This indicates the need to identify additional therapeutic targets in those patients. Angioprotein-like 3 (ANGPTL3) is an inhibitor of lipoprotein and endothelial lipase, which increases the levels of LDL-C and other atherogenic lipoproteins. These properties suggest ANGPTL3 as a potential driver associated with diabetic atherosclerosis. The OPTIMAL randomized controlled trial (jRCT1052180152) compared the efficacy of continuous glucose monitoring-guided versus HbA1c-guided glycemic control on coronary atherosclerosis in statin-treated type 2 diabetic patients by using serial intravascular ultrasound (IVUS) imaging. This pre-specified analysis of the OPTIMAL study was designed to evaluate whether ANGPTL3 affects progression of coronary atheroma in statin-treated type 2 diabetic patients. Purpose To elucidate the association of serial change in ANGPTL3 with the degree of atheroma progression in statin-treated type 2 diabetic patients. Methods 59 patients (59 lesions) with serial ANGPTL3 levels at baseline and week 48 were included into the current analysis. Clinical demographics and IVUS-derived measure were compared in patients with and without any increase in ANGPTL3. Results All of study subjects received a statin, and over 60% of them were treated with high-intensity statin. Under these lipid-lowering therapies, any increase in ANGPTL3 levels at week 48 was observed in 52.5% of study participants. Patients with any increase in ANGPTL3 were more likely to have a history of hypertension (90.0% vs. 64.3%, p=0.02), whereas there was no significant difference in on-treatment LDL-C levels between the two groups (1.8 ± 0.4 vs. 1.6 ± 0.6 mmol/L, p=0.25) (Table). On IVUS imaging analysis, baseline percent atheroma volume (PAV) did not differ in those with and without any increase in ANGPTL3. However, patients with any increase in ANGPTL3 presented a greater progression of PAV (0.08 ± 0.28 vs. -0.74 ± 0.29, p=0.04). There was a trend toward a lower frequency of PAV regression in those exhibiting any increase in ANGPTL3 (48.4% vs. 57.1%), but this comparison did not meet statistical significance (p=0.50) (Figure). Multivariate analysis adjusting clinical characteristics demonstrated that any increase in ANGPTL3 level was not independently associated with PAV progression (β=0.16, 95%CI=-0.01 – 0.18, p=0.27). Conclusion Over 50% of statin-treated type 2 diabetic patients with coronary atherosclerosis showed any increase in ANGPTL3 levels at week 48. Serial IVUS imaging revealed that patients with any increase in ANGPTL3 more likely presented a greater atheroma progression. However, this relationship did not exist after adjusting clinical characteristics. Our findings suggest that ANGPTL3 may not be a pivotal driver associated with atheroma progression in statin-treated type 2 diabetic patients.

Apolipoprotein B and the regression of lipidic plaque in statin-treated type 2 DM patients with coronary artery disease: the pre-specified sub-analysis from the OPTIMAL randomized controlled trial

Abstract Introduction Type 2 diabetic mellitus (T2DM) patients more likely present vulnerable form of diseases. Despite lowering LDL-C level with a statin, their on-going cardiovascular risks still exist, which indicates the need to identify additional therapeutic targets in T2DM patients. Apolipoprotein B (ApoB) is a proatherogenic lipoprotein. Atherosclerosis is promoted via the influx of ApoB into vessel wall. The current ESC guideline recommends ApoB levels as a secondary therapeutic target under control of LDL-C levels with a statin. However, it remains to be fully determined about the association of ApoB levels with plaque vulnerability in statin-treated T2DM patients. Purpose To elucidate whether serial change in ApoB levels affects the degree of atheroma progression and lipidic plaque materials on NIRS/IVUS imaging. Methods The OPTIMAL randomized controlled trial compared the efficacy of continuous glucose monitoring guided versus HbA1c-guided glycemic control on coronary atherosclerosis in 94 statin-treated T2DM patients with CAD. Serial NIRS/IVUS imaging was conducted at baseline and week 48 to monitor non-culprit lesions. The current study included 71 patients with serial ApoB levels at both baseline and week 48. Clinical demographics and NIRS/IVUS-derived measures were compared in those with and without any reduction of ApoB levels. Results All of study subjects received a statin, and over 60% of them were treated with high-intensity statin. Under these lipid-lowering therapies, 60.6% of study subjects exhibited any reduction of ApoB levels, accompanied by a greater reduction of LDL-C levels. Patients with any reduction of ApoB levels were more likely to be older (67.4±10.0 vs. 71.7±7.3 years, p=0.03), whereas there were no significant differences in the proportion of established risk factors between the two groups. Baseline NIRS/IVUS-derived PAV (47.1±12.9 vs. 44.8±15.4%, p=0.54) and maxLCBI4mm [290.5 (205.5, 338.7) vs. 270.0 (97.0, 416.0), p=0.76] were comparable in patients with and without any reduction of ApoB. On serial NIRS/IVUS imaging analysis, the progression rate of atheroma volume did not differ between the two groups (-0.4±0.2 vs. -0.3±0.2mm3, p=0.77). However, patients with any reduction of ApoB more frequently presented a regression of maxLCBI4mm (27.6±0.1 vs. 61.5±0.1%, p=0.01). Multivariate analysis adjusting age, female and high-intensity statin use demonstrated change in ApoB as an independent factor associated with regression of maxLCBI4mm (OR=0.94, 95%CI=0.91-0.98, p=0.002). Conclusion In statin-treated T2DM patients with CAD, any reduction of ApoB levels was associated with a greater regression of NIRS-derived maxLCBI4mm. The current findings indicate a potential anti-atherosclerotic effect of lowering ApoB levels, which induces delipidation of diabetic coronary atheroma. ApoB may be an important therapeutic target to modulate lipidic plaque materials in T2DM patients receiving a statin.

Trends in Takotsubo syndrome

Abstract Background Previously considered a rare and relatively benign cardiac condition, Takotsubo syndrome (TTS) has undergone a significant shift in perception over the last two decades. This shift was mainly driven by results indicating that TTS is associated with signicant mortality and morbidity. Consequently, also the criteria for diagnosing TTS have been updated to reflect its recognition as a complex, multifactorial disease. Purpose The aim of the present study was to investigate trends in clinical presentation, demographics, and outcomes of patients with TTS. Methods The study analyzed 3,675 patients diagnosed with TTS from 2004 to 2021. Participants were divided into groups based on diagnosis, using three-year intervals, to perform trend analyses on demographics, risk factors, clinical presentations, and outcomes. The Cochran-Mantel-Haenszel test was used for categorical data trends, while the Mann-Kendall test assessed numerical variables. Mortality rates were compared using the log-rank test. Findings: The study period saw a steady increase in male patients (from 10% to 15%, p = 0.003). While apical TTS continued to be the most common type, the occurrence of midventricular TTS increased (from 18% to 37%, p = 0.002). Emotional triggers remained constant, whereas the prevalence of physical triggers significantly rose (from 35% to 50%, p = 0.034). The incidence of cardiogenic shock increased (from 11% to 20%, p=0.030), leading to a rise in in-hospital mortality rates (from 2% to 9%, p&amp;lt;0.001). A landmark analysis showed a significant increase in 60-day mortality rates (p &amp;lt; 0.001), but no difference in one-year mortality over the years (p = 0.140, Figure 1). Summary: This study of temporal trends in TTS highlights a shift in patients demographic with agrowing prevalence among males, increasing recognition of midventricular TTS type, and increased rates of cardiogenic shock and mortality in recent years. This shift aligns with the rising prevalence of physical triggers, as an expression of increased recognition of TTS in association with acute comorbidities.

3dct Conduit and Oesophageal Metrics, a Valuable Method to Diagnose Post Sleeve Gastrectomy Abnormalities

PurposeReflux after laparoscopic sleeve gastrectomy (LSG) may result from anatomical and functional anomalies in the gastric conduit. Three-dimensional CT scans (3DCT) offer a comprehensive view of gastric anatomy. This study aims to establish specific measurements associated with sleeve abnormalities to standardise the reporting of 3DCT which may help in management of LSG complications.Materials and MethodsThis retrospective study analysed 64 post-LSG patients who underwent gastric 3DCT. Data included clinical demographics, pre-LSG BMI, BMI at 3DCT, and the duration between surgery and examination. Symptomatology prompts the scan and other concurrent investigations. Various 3DCT measurements were taken, including angularis angle (AA), surface area (ASA), conduit length (CL), proximal maximal surface area (PMSA), and distal maximal surface area (DMSA) of the gastric conduit. Patients were categorised based on endoscopy findings and symptomatology. Outcomes post-revisional surgery were assessed and analysed.Results20.3% were male. Pre-LSG BMI and BMI at 3DCT were 45.57 (± 8.3) and 36.3 (± 8.7), respectively. Mean surgery-to-scan period was 6.2 years. 71.8% of patients presented with reflux, regurgitation, or dysphagia, whilst the remainder primarily exhibited weight regain. Patients with endoscopic evidence of stenosis/reflux demonstrated significantly lower gastric volume, ASA, and DMSA (p = 0.002 and p = 0.007, respectively). Oesophageal diameter above the conduit and an ASA to DMSA ratio ≤ 0.5 were negatively associated with AA (p = 0.008 and p = 0.08, respectively). Patients with improved outcomes after revisional bypass and gastrogastrostomy displayed a negative correlation with ASA and positive correlation with the ASA to PMSA ratio (≤ 0.5).Conclusion3DCT measurements have a potential role in defining post-LSG stenosis and predicting outcomes of revisional surgery. Patients with anatomic abnormalities that are shown on CT appear to improve with anatomic correction.Graphical

Factors Associated With Influenza Vaccination in a National Veteran Cohort

IntroductionOnly 53% of American adults receive influenza vaccination, and disparities in vaccination exist amongst particular racial and ethnic groups. This study determines how race, ethnicity, sex, and rurality are associated with influenza vaccination adherence in a national Veteran Health Affairs Administration (VHA) cohort. MethodsWe examined differences in documented influenza vaccinations for the 2019-2020 influenza season among VHA patients in a retrospective cohort study using VHA administrative electronic health record data. We used logistic regression to model receipt of influenza vaccination in association with race, ethnicity, sex, and rurality while controlling for clinical diagnoses, demographics, and ambulatory care utilization. We also stratified the models by sex and rurality. ResultsAmong 5,943,918 veterans, 48.6% received influenza vaccination. Unadjusted comparisons showed those who were vaccinated were more likely to be white, male sex, and older. Similar proportions of unvaccinated and unvaccinated veterans were from rural settings. In adjusted models, Black race was most strongly associated with decreased vaccination (AOR=0.69, [0.69-0.70]), and American Indian/Alaskan Native race also had reduced odds of vaccination (AOR=0.94 [0.92-0.95]) compared to White race. Female veterans had increased odds of vaccination (AOR=1.20; [1.19-1.20]) compared to men. Rurality (AOR=0.97 [0.96-0.97]) was associated with a small decreased odds of vaccination compared to urban. In stratified models, Black veterans were less likely to receive influenza vaccination regardless of sex and rurality compared to White veterans. American Indian/Alaska Native female veterans had equal odds of vaccination as compared to White female veterans, while American Indian/Alaska Native male veterans had reduced odds of vaccination compared to White male veterans. ConclusionsDuring the 2019-2020 influenza season, Black and American Indian/Alaskan Native veterans had lower odds of vaccination. Despite the VHA's universal approach to healthcare, racial disparities still exist in preventive care.

Parasite diversity among domestic goats of tropical monsoon climatic zone in India.

Among different climatic zones in India, the tropical monsoon region comprises a diverse ecosystem characterized by the endemic nature of several parasites including certain emerging and re-emerging vector-borne pathogens of humans, whereas a systematic investigation of the occurrence of different parasites among domestic goats in this area is not yet explored. The goal of the present study is to explore the parasite diversity focusing on molecular identification of vector-borne hemoparasites and its health impacts on domestic goats reared in the tropical monsoon climate zone of Kerala, India. Among 227 goats presented to the Teaching Veterinary Clinical Complex (TVCC) in the monsoon months of 2023, thirty animals were recruited for the study. The animals were screened for the presence of different hemoparasites (Anaplasma spp., Theileria spp., and Babesia spp.), ectoparasites (ticks, lice, and fleas), and gastrointestinal (GI) parasites (hookworms, threadworms, tapeworms, whipworms, and coccidia). The isolated hemoparasites were further characterized by sequencing and phylogenetic analysis. The correlation studies to elucidate the association between the occurrence of different parasites and clinical manifestations (hyperthermia, pallor of mucous membrane, circulatory failure, respiratory signs, neurological instability, and GI signs), blood picture (anemia, leukopenia, thrombocytopenia), demographics (sex and age), and treatment history (hemoparasitic therapy, ectoparasiticidal application, and prophylactic deworming) were conducted. The co-infection status of these parasites was also evaluated. A substantial portion of the goats in the study group was found to be affected by vector-borne hemoparasitic diseases and their arthropod vectors or GI parasites or both. This can be attributed to the constantly warm and humid climate of the region, which is favorable for the survival and growth of different life cycle stages of these parasites and vectors. A strategic parasitic disease surveillance-cum-control program is the need of the hour for ensuring climate resilience and profitable goat farming in the region.

Using real-world electronic health record data to predict the development of 12 cancer-related symptoms in the context of multimorbidity.

This study uses electronic health record (EHR) data to predict 12 common cancer symptoms, assessing the efficacy of machine learning (ML) models in identifying symptom influencers. We analyzed EHR data of 8156 adults diagnosed with cancer who underwent cancer treatment from 2017 to 2020. Structured and unstructured EHR data were sourced from the Enterprise Data Warehouse for Research at the University of Iowa Hospital and Clinics. Several predictive models, including logistic regression, random forest (RF), and XGBoost, were employed to forecast symptom development. The performances of the models were evaluated by F1-score and area under the curve (AUC) on the testing set. The SHapley Additive exPlanations framework was used to interpret these models and identify the predictive risk factors associated with fatigue as an exemplar. The RF model exhibited superior performance with a macro average AUC of 0.755 and an F1-score of 0.729 in predicting a range of cancer-related symptoms. For instance, the RF model achieved an AUC of 0.954 and an F1-score of 0.914 for pain prediction. Key predictive factors identified included clinical history, cancer characteristics, treatment modalities, and patient demographics depending on the symptom. For example, the odds ratio (OR) for fatigue was significantly influenced by allergy (OR = 2.3, 95% CI: 1.8-2.9) and colitis (OR = 1.9, 95% CI: 1.5-2.4). Our research emphasizes the critical integration of multimorbidity and patient characteristics in modeling cancer symptoms, revealing the considerable influence of chronic conditions beyond cancer itself. We highlight the potential of ML for predicting cancer symptoms, suggesting a pathway for integrating such models into clinical systems to enhance personalized care and symptom management.

Survival of hospitalised COVID-19 patients in Hawassa, Ethiopia: a cohort study

The COVID-19 pandemic, caused by SARS-CoV-2, led to 622,119,701 reported cases and 6,546,118 deaths. Most studies on COVID-19 patients in hospitals are from high-income countries, lacking data for developing countries such as Ethiopia.This study assesses clinical features, demographics, and risk factors for in-hospital mortality in Hawassa, Ethiopia. The research cohort comprises 804 cases exhibiting clinical diagnoses and/or radiological findings and indicative of symptoms consistent with COVID-19 at Hawassa University Comprehensive Specialized Hospital from September 24, 2020, to November 26, 2021. In-hospital mortality rate was predicted using Cox regression. The median age was 45 years, with males making up 64.1% of the population. 173 (21.5%) fatalities occurred, with 125 (72.3%) among males. Male patients had higher mortality rates than females. Severe and critical cases were 24% and 21%. 49.1% had at least one comorbidity, with 12.6% having multiple. Common comorbidities were diabetes (15.9%) and hypertension (15.2%). The Cox regression in Ethiopian COVID-19 patients found that factors like gender, advanced age group, disease severity, symptoms upon admission, shortness of breath, sore throat, body weakness, hypertension, diabetes, multiple comorbidities, and prior health facility visits increased the risk of COVID-19 death, similar to high-income nations. However, in Ethiopia, COVID-19 patients were young and economically active. Patients with at least one symptom had reduced death risk. As a conclusion, COVID-19 in Ethiopia mainly affected the younger demographic, particularly economically active individuals. Early detection can reduce the risk of mortality. Prompt medical attention is essential, especially for individuals with comorbidities. Further research needed on diabetes and hypertension management to reduce mortality risk. Risk factors identified at admission play a crucial role in guiding clinical decisions for intensive monitoring and treatment. Broader risk indicators help prioritize patients for allocation of hospital resources, especially in regions with limited medical facilities. Government’s focus on timely testing and strict adherence to regulations crucial for reducing economic impact.

Advancements in Machine Learning and Deep Learning for Early Diagnosis of Chronic Kidney Diseases: A Comprehensive Review

Chronic kidney disease (CKD) is a prevalent and debilitating condition worldwide, characterized by progressive loss of kidney function over time. Early detection plays a crucial role in mitigating its impact on patient health and healthcare systems. In recent years, there has been a burgeoning interest in leveraging machine learning (ML) and deep learning (DL) techniques to enhance the early diagnosis of CKD. This comprehensive review explores the advancements in ML and DL models applied to CKD diagnosis, focusing on their ability to integrate diverse data sources including clinical biomarkers, imaging modalities, and patient demographics. Key ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), and neural network architectures like Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTMs) are examined in the context of their performance in predicting CKD progression, classifying disease stages, and identifying at-risk populations. Furthermore, the review discusses challenges such as data quality, model interpretability, and integration into clinical practice, alongside emerging trends in explainable AI, transfer learning, federated learning, and integration with electronic health records (EHRs). By synthesizing findings from recent literature, this paper aims to provide insights into current methodologies, identify gaps for future research, and underscore the transformative potential of ML and DL in revolutionizing early CKD diagnosis and management..

Clinical, Radiological and Pathological Features of a Large American Cohort of Spinocerebellar Ataxia (SCA27B).

Spinocerebellar ataxia 27B due to GAA repeat expansions in the fibroblast growth factor 14 (FGF14) gene has recently been recognized as a common cause of late-onset hereditary cerebellar ataxia. Here we present the first report of this disease in the US population, characterizing its clinical manifestations, disease progression, pathological abnormalities, and response to 4-aminopyridine in a cohort of 102 patients bearing GAA repeat expansions. We compiled a series of patients with SCA27B, recruited from 5 academic centers across the United States. Clinical manifestations and patient demographics were collected retrospectively from clinical records in an unblinded approach using a standardized form. Post-mortem analysis was done on 4 brains of patients with genetically confirmed SCA27B. In our cohort of 102 patients with SCA27B, we found that SCA27B was a late-onset (57 ± 12.5 years) slowly progressive ataxia with an episodic component in 51% of patients. Balance and gait impairment were almost always present at disease onset. The principal finding on post-mortem examination of 4 brain specimens was loss of Purkinje neurons that was most severe in the vermis most particularly in the anterior vermis. Similar to European populations, a high percent of patients 21/28 (75%) reported a positive treatment response with 4-aminopyridine. Our study further estimates prevalence and further expands the clinical, imaging and pathological features of SCA27B, while looking at treatment response, disease progression, and survival in patients with this disease. Testing for SCA27B should be considered in all undiagnosed ataxia patients, especially those with episodic onset. ANN NEUROL 2024.

1800: Retrospective analysis of clinical trial patient demographics within a large UK radiotherapy centre

1800: Retrospective analysis of clinical trial patient demographics within a large UK radiotherapy centre

IL1RL1variant may affect the response to type 2 biologics in patients with severe asthma

BackgroundAsthma is a heterogeneous disease with variable response to treatment. Genetic backgrounds are involved in the severity of type 2 asthma, but their effects on responses to biologics remain unknown. This study aimed to clarify the role of genetic factors in response to biologics in patients with severe asthma.MethodsAdults with severe asthma receiving biologics were enrolled in this multicenter, observational, real-world study. The responses to biologics were evaluated using Physicians’ Global Evaluation of Treatment Effectiveness (GETE). Optimal biologic for each patient was also determined based on the best GETE score for the biologic used or currently used biologic. Three single nucleotide polymorphisms (IL1RL1, rs1420101;IL4RA, rs8832; andTSLP, rs1837253) were examined.ResultsAmong the 113 patients analysed, 53 (46.9%) had an excellent GETE score for at least one biologic. These patients with an excellent GETE score for at least one biologic, particularly for benralizumab, had the risk genotype of rs1420101 more frequently than the remaining patients, independent of the clinical demographics. Regarding the optimal biologic for each patient, anti-IL-5 drugs were optimal for patients with the rs1420101 TT or rs8832 GG genotype. Furthermore, dupilumab was similarly effective, regardless of the risk genotypes examined in this study.ConclusionIL1RL1rs1420101 TT genotype and/orIL4RArs8832 GG genotype may predict an excellent or optimal response to biologic therapy in each patient, particularly to anti-IL-5 targeted therapy. The elucidation of genetic predisposition may improve the management of severe asthma in the era of biologics.

A Propensity Score-Based Comparison regarding Renal, Functional, and Surgical Outcome of Continent Cutaneous Urinary Diversions in Patients with Benign Chronic Bladder Diseases and Patients with Bladder Cancer.

Continent cutaneous urinary diversion post-cystectomy is an established approach addressing both oncological and functional indications. However, there is a noticeable gap of evidence when it comes to comparing outcomes between these indications, especially concerning the technique of Mainz pouch I (MPI). This study aimed to close the gap by analyzing the long-term functional and renal outcomes of patients with MPI after cystectomy due to both benign and malign bladder pathologies. In this retrospective study, we examined 173 patients, who underwent MPI surgery between 2000 and 2022. Patients were categorized into a study group (benign conditions, n = 26) and a control group (bladder cancer, n = 52) using propensity score matching. Clinical demographics, surgical outcomes, and functional/renal parameters were analyzed using unpaired t tests and χ2 tests. Patients undergoing cystectomy with MPI due to benign bladder pathologies were significantly younger and had a lower comorbidity burden compared to those with bladder cancer. In contrast to a significantly higher incidence of chemotherapy in the oncological cohort, the long-term renal function was comparable between both populations. Surgical outcomes, revisions, and postoperative complications did not differ significantly between both groups. Nearly 90% of patients in both groups showed full continence. This study demonstrates the efficacy and safety of MPI surgery in both benign and malignant conditions, proving favorable long-term renal and functional outcomes.

Investigating current clinical opinions in stereoelectroencephalography-informed epilepsy surgery.

Stereoelectroencephalography (SEEG) is increasingly utilized worldwide in epilepsy surgery planning. International guidelines for SEEG terminology and interpretation are yet to be proposed. There are worldwide differences in SEEG definitions, application of features in epilepsy surgery planning, and interpretation of surgical outcomes. This hinders the clinical interpretation of SEEG findings and collaborative research. We aimed to assess the global perspectives on SEEG terminology, differences in the application of presurgical features, and variability in the interpretation of surgery outcome scores, and analyze how clinical expert demographics influenced these opinions. We assessed the practices and opinions of epileptologists with specialized training in SEEG using a survey. Data were qualitatively analyzed, and subgroups were examined based on geographical regions and years of experience. Primary outcomes included opinions on SEEG terminology, features used for epilepsy surgery, and interpretation of outcome scores. Additionally, we conducted a multilevel regression and poststratification analysis to characterize the nonresponders. A total of 321 expert responses from 39 countries were analyzed. We observed substantial differences in terminology, practices, and use of presurgical features across geographical regions and SEEG expertise levels. The majority of experts (220, 68.5%) favored the Lüders epileptogenic zone definition. Experts were divided regarding the seizure onset zone definition, with 179 (55.8%) favoring onset alone and 135 (42.1%) supporting onset and early propagation. In terms of presurgical SEEG features, a clear preference was found for ictal features over interictal features. Seizure onset patterns were identified as the most important features by 265 experts (82.5%). We found similar trends after correcting for nonresponders using regression analysis. This study underscores the need for standardized terminology, interpretation, and outcome assessment in SEEG-informed epilepsy surgery. By highlighting the diverse perspectives and practices in SEEG, this research lays a solid foundation for developing globally accepted terminology and guidelines, advancing the field toward improved communication and standardization in epilepsy surgery.

Treatment Intensification in Metastatic Hormone-Sensitive Prostate Cancer: An Analysis of Real-World Practice Patterns from the CancerLinQ Database

BackgroundIn metastatic hormone-sensitive prostate cancer (mHSPC), androgen deprivation therapy and standard of care treatment intensification with docetaxel and/or an androgen receptor signaling inhibitor (ARSI) are associated with improved survival outcomes for appropriate patients. MethodsThis retrospective study selected patients with de novo mHSPC diagnosed between 2014 and 2023 from CancerLinQ Discovery®, a United States (US)-based, de-identified clinical database. Patient-level data, including clinical characteristics, treatments, and demographics, were collected from CancerLinQ. Treatment intensification was defined as the use of docetaxel, abiraterone, apalutamide, enzalutamide, or docetaxel plus abiraterone or darolutamide. Patient characteristics and treatment intensification data were analyzed descriptively and using multivariable logistic regression. ResultsOf the 3,684 patients with mHSPC, the overall rate of treatment intensification was 58.4% but increased from 32.5% in 2014 to 67.5% in 2023. A relative decline in docetaxel use was accompanied by an increase in ARSI use. Black patients with mHSPC were less likely to receive treatment identification (OR 0.78, 95% CI 0.64–0.95, P = 0.013). Treatment intensification was also less likely for patients of older age and increased ECOG performance status. Despite increasing treatment intensification for Black patients with mHSPC over time, rates of docetaxel use are disproportionately declining relative to White patients. ConclusionsTreatment intensification rates are increasing to include the majority of patients with mHSPC. However, treatment disparities exist for Black patients, who are less likely to receive intensification. These findings illustrate the importance of promoting treatment intensification in appropriate patients and addressing racial treatment disparities.

Overnight Electroencephalogram to Forecast Epilepsy Development in Children with Autism Spectrum Disorders

ObjectiveTo establish the utility of long-term electroencephalogram (EEG) in forecasting epilepsy onset in children with autism spectrum disorder (ASD). Study designA single-institution, retrospective analysis of children with ASD, examining long-term overnight EEG recordings collected over a period of 15 years, was conducted. Clinical EEG findings, patient demographics, medical histories, and additional Autism Diagnostic Observation Schedule (ADOS) data were examined. Predictors for the timing of epilepsy onset were evaluated using survival analysis and Cox regression. ResultsAmong 151 patients, 17.2% (n=26) developed unprovoked seizures (Sz group), while 82.8% (n=125) did not (non-Sz group). The Sz group displayed a higher percentage of interictal epileptiform discharges (IEDs) in their initial EEGs compared with the non-Sz group (46.2% vs. 20.0%, p=0.01). The Sz group also exhibited a greater frequency of slowing (42.3% vs. 13.6%, p < 0.01). The presence of IEDs or slowing predicted an earlier seizure onset, based on survival analysis. Multivariate Cox proportional hazards regression revealed that the presence of any IEDs (HR 3.83, 95% CI 1.38-10.65, p=0.01) or any slowing (HR 2.78, 95% CI 1.02-7.58, p=0.046 significantly increased the risk of developing unprovoked seizures. ConclusionLong-term EEGs are valuable for predicting future epilepsy in children with ASD. These findings can guide clinicians in early education and potential interventions for epilepsy prevention.