High Risk For Poor Outcomes Research Articles

Applying a transformer architecture to intraoperative temporal dynamics improves the prediction of postoperative delirium

BackgroundPatients who experienced postoperative delirium (POD) are at higher risk of poor outcomes like dementia or death. Previous machine learning models predicting POD mostly relied on time-aggregated features. We aimed to assess the potential of temporal patterns in clinical parameters during surgeries to predict POD.MethodsLong short-term memory (LSTM) and transformer models, directly consuming time series, were compared to multi-layer perceptrons (MLPs) trained on time-aggregated features. We also fitted hybrid models, fusing either LSTM or transformer models with MLPs. Univariate Spearman’s rank correlations and linear mixed-effect models establish the importance of individual features that we compared to transformers’ attention weights.ResultsBest performance is achieved by a transformer architecture ingesting 30 min of intraoperative parameter sequences. Systolic invasive blood pressure and given opioids mark the most important input variables, in line with univariate feature importances.ConclusionsIntraoperative temporal dynamics of clinical parameters, exploited by a transformer architecture named TRAPOD, are critical for the accurate prediction of POD.

Skeletal Muscle 31P MR Spectroscopy Surpasses CT in Predicting Patient Survival After Liver Transplantation.

Skeletal muscle alterations are associated with higher mortality and morbidity in patients with liver cirrhosis. Assessing these changes seems to be a promising method for identifying patients at a high risk of poor outcomes following liver transplantation (LT). This is particularly important given the current global shortage of organ donors. However, evidence of the impact of these alterations on the prognosis of patients undergoing LT is inconclusive. The aim of our prospective study was to evaluate the impact of skeletal muscle changes, reflected in sarcopenia, myosteatosis and metabolic changes in the calf muscles, on perioperative outcomes and long-term survival after LT. We also sought to determine the posttransplant evolution of the resting muscle metabolism. We examined 134 adult LT candidates. Of these, 105 underwent LT. Sarcopenia and myosteatosis were diagnosed by measuring the skeletal muscle index and mean psoas muscle radiation attenuation, respectively, which were obtained from computed tomography (CT) scans taken during pretransplant assessment. Additionally, patients underwent 31P MR spectroscopy (MRS) of the calf muscles at rest before LT and 6, 12 and 24 months thereafter. The median follow-up was 6 years. Patients with abnormal 31P MRS results and CT-diagnosed myosteatosis prior to LT had significantly worse long-term survival after LT (hazard ratio (HR), 3.36; 95% confidence interval (CI), 1.48-7.60; p = 0.0021 and HR, 2.58; 95% CI, 1.06-6.29; p = 0.03, respectively). Multivariable analysis showed that abnormal 31P MR spectra (HR, 3.40; 95% CI, 1.50-7.71; p = 0.003) were a better predictor of worse long-term survival after LT than myosteatosis (HR, 2.78; 95% CI, 1.14-6.78; p = 0.025). Patients with abnormal 31P MR spectra had higher blood loss during LT (p = 0.038), required a higher number of red blood cell transfusions (p = 0.006) and stayed longer in ICU (p = 0.041) and hospital (p = 0.007). Myosteatosis was associated with more revision surgeries following LT (p = 0.038) and a higher number of received red blood cell transfusion units (p = 0.002). Sarcopenia had no significant effect on posttransplant patient survival. An improvement in the resting metabolism of the calf muscles was observed at 12 and 24 months after LT. Abnormal 31P MRS results of calf muscles were superior to CT-based diagnosis of myosteatosis and sarcopenia in predicting perioperative complications and long-term survival after LT. Resting muscle metabolism normalized 1 year after LT in most recipients.

Anakinra for dengue patients with hyperinflammation: protocol for a randomized double-blind placebo-controlled trial

Background Novel host-directed therapies are urgently needed for patients with dengue, particularly those at high risk of developing severe disease. Broad immunosuppression using corticosteroids in unselected patients with dengue has so far been unsuccessful. Patients with hyperinflammation (raised CRP and/or ferritin levels) are at highest risk of poor outcomes in dengue. Anakinra is a licensed, bio-engineered form of the naturally occurring IL-1R antagonist which has shown efficacy in other acute viral-associated hyperinflammatory syndromes. Methods This is a randomized placebo-controlled phase II trial of anakinra in 160 patients ≥ 12 years old, diagnosed as having dengue with warning signs or severe dengue and the hyperinflammatory syndrome (plasma ferritin >2000 ng/ml). Participants will receive a 4-day course of either anakinra or placebo. The primary endpoint is the efficacy of anakinra measured by the delta mSOFA score* (change in mSOFA score over 4 days after randomization). The accompanying immunological and transcriptomic analyses aim to identify novel mechanisms and pathways that may represent future biomarkers and therapeutic targets. Discussion The observed immunomodulatory benefit of anakinra in acute viral-associated hyperinflammatory syndromes including COVID-19 and auto-immune diseases makes this medication a promising potential treatment for dengue patients with hyperinflammation. This trial will assess the safety and efficacy of anakinra in patients with severe dengue or at high risk of developing life-threatening dengue disease. Registration ClinicalTrials.gov (NCT05611710).

Serum lactate dehydrogenase as a prognostic marker for treatment response in IDH wild-type glioblastoma patients undergoing stupp protocol.

Elevated lactate dehydrogenase (LDH), a marker of tumor aggressiveness and metabolic alterations, may predict treatment response and overall survival across various tumors. This study investigates the correlation between serum LDH levels and clinical outcomes in glioblastoma patients treated with radiotherapy (RT) and temozolomide (TMZ). This retrospective study analysed patients with IDH wild-type glioblastoma (IDH-wt GB) treated at the Radiotherapy Department of Azienda Ospedaliero-Universitaria Senese from 2018 to 2023. Clinical data, including hematologic parameters (e.g., LDH), imaging (MRI), and MGMT promoter methylation status, were collected. All patients received RT and TMZ following the Stupp protocol. Serum LDH levels were measured one week before RT, and Radiological Response (RR) was assessed using RANO criteria. Overall survival (OS), progression-free survival (PFS), and RR were primary endpoints. Statistical analyses included Kaplan-Meier, Cox regression, and decision tree analysis for LDH cut-off determination. In a cohort of 147 IDH wild-type glioblastoma patients treated with the Stupp protocol, the median OS was 14 months and median PFS was 8 months. Elevated baseline LDH levels were associated with significantly poorer outcomes, showing a median OS of 9 months versus 20 months and a median PFS of 6 months versus 13 months for lower LDH levels (p < 0.001 and p = 0.0001, respectively). LDH levels also correlated with RR (p = 0,001), Multivariate analysis confirmed high LDH as an independent predictor of worse OS (HR = 2.31) and PFS (HR = 2.60), suggesting its utility as a prognostic biomarker. Elevated LDH levels before starting the Stupp protocol are clinically significant as they predict poorer overall survival and progression-free survival in glioblastoma patients and worse RR. Incorporating LDH measurements into treatment planning can help identify patients at higher risk of poor outcomes, allowing for more tailored and potentially aggressive treatment strategies to improve management and therapeutic responses in glioblastoma.

Improving Prognostic Value in Invasive Triple Negative Breast Cancer Through a Combined Nomogram Approach

ObjectivesTo investigate the potential prognostic value of ultrasound (US) features in conjunction with pathological markers and to develop a preliminary working model for predicting poor outcomes in patients with invasive triple-negative breast cancer (TNBC). MethodsFrom January 2012 to December 2018, we enrolled 209 TNBC patients treated with standard therapy, systematically gathered data on US parameters, stromal tumor-infiltrating lymphocytes (TILs), lymphovascular invasion (LVI) status, and other relevant information, and recorded follow-up data. A nomogram combining AJCC staging with US score, stromal TILs, and LVI was constructed and validated to predict poor outcomes, defined as recurrence or death, in patients with invasive TNBC. ResultsThe US score of 4 was best related to poor outcomes in patients with TNBC (HR 3.87, p = 0.015). In the training set, the nomogram had a considerably greater prognostic value [area under the curve (AUC), 0.74 vs. 0.64, p=0.045] than AJCC staging alone, and it was comparable to that of the validation set (AUC, 0.71 vs. 0.63, p=0.804). An acceptable consistency between the nomogram-predicted and actual survival probabilities was found both in the training and validation sets, with Brier scores of 0.15 and 0.13, respectively. ConclusionsThe incorporation of AJCC stage with US score, stromal TILs, and LVI improved the model performance for predicting poor outcomes in patients with invasive TNBC compared to routine AJCC staging alone. MicroAbstractA nomogram was developed to predict the disease-free survival of invasive triple-negative breast cancer (TNBC) patients who had received standard therapy. The nomogram was constructed using ultrasound features and pathological variables, including stromal tumour-infiltrating lymphocytes as well as lymphovascular invasion, in conjunction with the AJCC stage. The nomogram was developed using data from 209 TNBC patients. The combined model improved the predictive performance compared to routine AJCC staging, and might help to identify patients at high risk of poor outcomes.

Assessment of COVID-19 severity levels and associated factors among patients admitted to the treatment centers in Southern Ethiopia.

COVID-19, a highly impactful infectious disease, has been observed to result in psychological distress, organ impairment, and mortality. The severity and consequences of the illness appear to vary based on geographical location and individual characteristics. Understanding the disease and optimizing resource distribution through early classification depend on having data on the severity of COVID-19 patients. There is a dearth of information in this particular region regarding the severity of COVID-19 patients and related factors. Therefore, this study used an ordinal logistic regression model to determine the severity levels of COVID-19 and its associated components. A retrospective follow-up study was conducted on COVID-19 patients admitted between May 30, 2020, and October 15, 2021, at care centers in southern Ethiopia. 845 patients were included in this research. The mean (standard deviation) and median (interquartile range) were used to summarize the data. A multivariable ordinal logistic regression model was used to study the association between independent variables and COVID-19 severity levels. In terms of the severity of the disease, 12.07% of patients had severe COVID-19, 7.81% had critical disease, and 6.39% had moderate disease. 8.28% of the 845 patients died, while 88.88% of them made a full recovery. Older age (> = 40 years) (AOR = 5.75, 95% CI = 3.99, 8.27), comorbidities (AOR = 4.17, 95% CI = 3.03, 5.88), and low oxygen saturation (AOR = 3.44, 95% CI = 2.23, 5.56) were significantly linked to higher odds of experiencing more severe levels of COVID-19 compared to their counterparts. 7.81% of patients were critically ill, while more than one-tenth (12.07%) were considered severely ill. Low oxygen saturation, comorbidities, and advanced age were found to be significantly associated with COVID-19 severity. Therefore, it is crucial to manage comorbidities, provide special treatment, and provide COVID-19 patients with underlying medical issues more attention due to the higher risk of poor outcomes. To speed up their recovery, medical professionals should regularly monitor and provide specialized care to older COVID-19 patients. In order to identify patients who are more likely to experience a severe illness and to better manage their treatment, it is imperative that oxygen saturation levels in COVID-19 patients be promptly identified and monitored.

Racial and Educational Isolation are Associated with Worse Outcomes in Congenital Heart Disease.

Background Sociodemographic factors influence outcomes in children with congenital heart disease (CHD). We predict an association between measures of social isolation and outcomes in infants with complex CHD. These measures, racial (RI) and educational (EI) isolation range from 0 to 1, with 0 being no isolation and 1 being fully isolated within a specific population. Methods We identified patients less than 1-year-old undergoing CHD surgery in North Carolina from 2008-2013. We used negative binomial and logistic regression models to assess the case-mix adjusted associations between RI and EI and length of stay, complications, mortality, and resource utilization. We quantified the association of race with these indices and outcomes. Results We included 1,217 infants undergoing CHD surgery. Black infants had increased LOS (p < 0.001), other complications (p = 0.03), and death (p = 0.02). RI up to 0.3 was associated with decreased outpatient encounters (p < 0.001). RI was associated with increased inpatient encounters RI up to 0.3 (p < 0.001) but decreased for RI beyond 0.3 (p = 0.01). There was an association with increased risk of one or more emergency department visits (p = 0.001) at higher levels EI. Race and RI showed a cumulative effect with children with Black race and greater than median RI having increased LOS (p < 0.001) and fewer outpatient encounters (p = 0.02). Conclusions RI, EI, and Black race are associated with poorer outcomes. Children with Black race and greater than median levels of RI are at the highest risk of poor outcomes. These differences may be caused by differential access to resources or community support.

Diagnosis of Respiratory Sarcopenia for Stratifying Postoperative Risk in Non–Small Cell Lung Cancer

Physical biomarkers for stratifying patients with lung cancer into subtypes suggestive of outcomes are underexplored. To investigate the clinical utility of respiratory sarcopenia for optimizing postoperative risk stratification in patients with non-small cell lung cancer (NSCLC). This retrospective cohort study reviewed consecutive patients undergoing lobectomy and mediastinal lymph node dissection for NSCLC at 2 institutions in Tokyo, Japan, between 2009 and 2018. Eligible patients underwent electronic computed tomography image analysis. Follow-up began at the date of surgery and continued until death, the last contact, or March 2022. Data analysis was performed from April 2022 to March 2023. Respiratory sarcopenia was identified by poor respiratory strength (peak expiratory flow rate) and was confirmed by a low pectoralis muscle index (PMI; pectoralis muscle area/body mass index). Patients with poor peak expiratory flow rate but normal PMI received a diagnosis of pre-respiratory sarcopenia. Short-term and long-term postoperative outcomes were compared among patients with a normal status, pre-respiratory sarcopenia, and respiratory sarcopenia. Group differences were analyzed using the Kruskal-Wallis test and Pearson χ2 test for continuous and categorical data, respectively. Survival differences were compared using the log-rank test. Univariable and multivariable analyses were conducted using the Cox proportional hazards model. Of a total of 1016 patients, 806 (497 men [61.7%]; median [IQR] age, 69 [64-76] years) were eligible for electronic computed tomography image analysis. The median (IQR) duration of follow-up for survival was 5.2 (3.6-6.4) years. Respiratory strength was more closely correlated with PMI than pectoralis muscle radiodensity (Pearson r2, 0.58 vs 0.29). Respiratory strength and PMI declined with aging simultaneously (both P for trend < .001). Pre-respiratory sarcopenia was present in 177 patients (22.0%), and respiratory sarcopenia was present in 130 patients (16.1%). The risk of postoperative complications escalated from 82 patients (16.4%) with normal status to 39 patients (22.0%) with pre-respiratory sarcopenia to 39 patients (30.0%) with respiratory sarcopenia (P for trend < .001), as did the risk of delayed recovery after surgery (P for trend < .001). Compared with patients with normal status or pre-respiratory sarcopenia, patients with respiratory sarcopenia exhibited worse 5-year overall survival (438 patients [87.2%] vs 133 patients [72.9%] vs 85 patients [62.5%]; P for trend < .001). Multivariable analysis identified respiratory sarcopenia as a factor independently associated with increased risk of mortality (hazard ratio, 1.83; 95% CI, 1.15-2.89; P = .01) after adjustment for sex, age, smoking status, performance status, chronic heart disease, forced expiratory volume in 1 second, diffusing capacity for carbon monoxide, C-reactive protein, albumin, carcinoembryonic antigen, histology, and pathologic stage. This study identified individuals at higher risk of poor outcomes by screening and staging respiratory sarcopenia. The early diagnosis of respiratory sarcopenia could optimize management strategies and facilitate longitudinal care in patients with NSCLC.

Effectiveness of paediatric asthma hubs: a clinical pilot study

BackgroundChildren and young people (CYP) with asthma in the UK are at higher risk of poor outcomes compared with other high-income European countries due to factors including poor access to high-quality asthma reviews, diagnostic testing and inconsistent postattack reviews. The Leicester Integrated Care Board funded the first UK pilot asthma hub for CYP, to investigate the feasibility and effectiveness of hubs, in providing postattack reviews along with providing asthma education, the opportunity to carry out diagnostic lung function tests and optimise treatment.MethodsClinical pilot study including CYP aged 4–17 years referred to the hub with uncontrolled asthma or postattack from November 2021 to April 2022. CYP received a structured clinical assessment including National Institute for Health and Care Excellence (NICE) first-line diagnostic investigations for asthma including spirometry, bronchodilator reversibility (BDR) and fraction of exhaled nitric oxide (FeNO).ResultsOf 312 CYP referred (mean age 8.6±3.2 years; 42% women), 266 (85.3%) attended their appointment. Median time from referral to review was 2 days (IQR 1–3). Three CYP (1.1%) were severely unwell at review and required further hospital treatment. In the 231 CYP who completed first-line tests, asthma was confirmed for 73 (31.6%) based on NICE diagnostic criteria for CYP. Twenty-two per cent of children with normal baseline spirometry had ≥12% BDR.ConclusionPaediatric asthma hubs are a feasible model of care to deliver CYP postasthma attack reviews and identify high-risk patients requiring further treatment. Spirometry, BDR and FeNO testing allowed diagnostic confirmation in a significant proportion of CYP.

Thrombocytopenia as a Prognostic Marker in Patients with Acute Encephalitis at a Tertiary Care Center in Northern India.

Acute encephalitis (AE) is associated with a high burden of mortality and permanent disability and has a spectrum of underlying etiologies. The prognosis of encephalitis is difficult and almost all the patients seem to be at a high risk of poor outcomes. A number of physiological changes take place during encephalitis and have been evaluated for their prognostic value. Platelet count, which has been recognized as a surrogate prognostic marker in various viral illnesses, has recently been recognized to have a prognostic value in AE too. In the present study, we attempted to study the role of thrombocytopenia in the prognosis of AE. Total of 98 cases based on clinical, cerebrospinal fluid, and radiological profiles consistent with the diagnosis of AE were enrolled in the study. A clinical profile was noted, and platelet count was assessed. Thrombocytopenia was defined as platelet count <150,000/mm3. Platelet count 100,000-150,000, 50,000-99,999, and <50,000/mm3 were considered mild, moderate, and severe thrombocytopenia. The underlying etiology was explored, and patients were followed till discharge/outcome. The outcome was noted in terms of the Modified Rankin score (MRS). MRS 0-2 was considered good, 3-4 fair, and 5-6 as poor outcome. The mean age of patients was 34.06 ± 18.76 years. Majority of patients were women (54.1%). Prevalence of thrombocytopenia was 75.5%. A total of 34 (45.9%) had mild, 30 (40.5%) had moderate, and 10 (13.5%) had severe thrombocytopenia. Acute viral encephalitis (unclassified) was the most common etiology (33.7%), followed by scrub meningoencephalitis (24.5%) and Japanese encephalitis (12.2%), respectively. Good, fair, and poor outcomes were noted in 48 (49%), 21 (21.4%), and 29 (29.6%) cases. On univariate analysis, no significant association of poor outcome was seen with age, sex, duration of fever, and mechanical ventilation need (P > 0.05). Low Glasgow Coma Scale (GCS), splenomegaly, low platelet count, and Japanese encephalitis virus/scrub typhus etiologies were found to be significantly associated with poor outcomes (P < 0.05). Thrombocytopenia compared to normal platelet count and severe thrombocytopenia compared to mild and moderate thrombocytopenia were significantly associated with poor outcomes (P < 0.05). On multivariate analysis, GCS <8 (odds ratio [OR] =4.52; 95% confidence interval [CI] =1.56-13.20) and thrombocytopenia (OR = 11.92; 95% CI = 1.38-103.32) emerged as independent predictors of poor outcome. The findings of the study showed that low GCS and thrombocytopenia could be used as predictors of poor outcomes in AE cases.

Independent role of atherosclerotic plaque composition and extension in predicting the risk of cardiac events: a CLIMA substudy.

To investigate two different approaches to determine patient risk to develop cardiac events: the burden of coronary atherosclerosis, as assessed by the Gensini score, and plaque morphology, as assessed by intracoronary optical coherence tomography (OCT). We assessed the Gensini score and OCT features of plaque vulnerability in 847 patients from the CLIMA registry. Patients were divided into four Gensini quartiles. The main study endpoint was the 1-year composite of cardiac death, myocardial infarction (MI) and/or target vessel revascularization (TVR). A total of 56 patients (6.6%) experienced the one-year main composite endpoint. The composite endpoint was significantly affected by the Gensini score (hazard ratio [HR] 1.42, 95% confidence interval [CI] 1.11-1.81, p = 0.005), with a low incidence in the first Gensini quartile (Q1 1.3%) and a higher incidence in the remaining groups (Q2 8.3%, Q3 8.9% and Q4 8.3%). At the multivariable analysis, the combined four OCT criteria (HR 6.4, 95%CI 3.0-13.7, p < 0.001), thin fibrous cap (HR 2.9, 95%CI 1.7-5.0, p < 0.001), lipid arc > 180° (HR 2.1, 95%CI 1.2-3.6, p = 0.010), minimum lumen area < 3.5 mm2 (HR 1.7, 95%CI 1.01-3.0, p = 0.047) and the Gensini score (HR 1.4, 95%CI 1.1-1.8, p = 0.017) were independent predictors of the main composite endpoint. In this post-hoc analysis of the CLIMA study, the burden of coronary atherosclerosis as assessed by the Gensini score and OCT plaque characteristics were independent predictors of cardiac events. Patients with the largest atherosclerosis burden and with plaque vulnerability by OCT were at the highest risk of poor outcome. Clinicaltrials.gov identifier: NCT02883088.

Unaccompanied homelessness among high school students across ten states: prevalence and risk in multiple domains

ABSTRACT Unaccompanied homelessness during adolescence is a risk factor for varied poor outcomes, yet enumeration efforts struggle to provide feasible results and few analyses consider how risk might differ for this group. We consider data from the 2019 Youth Risk Behavior Survey from 10 states that asked about unaccompanied homelessness and sleeping arrangement. Students who experienced any form of homelessness were at higher risk for poor outcomes and other risk experiences. Few students reported both unaccompanied homelessness and usually sleeping in a homeless situation. Youth experiencing unaccompanied homelessness had higher risk for alcohol problems and lower risk for severe drug use and poor grades compared to students who experienced other forms of homelessness; otherwise they had similar levels of risk for poor outcomes. Results are consistent with the view that students who experience unaccompanied homeless are a distinguishable subpopulation of students who experience homelessness and are at high levels of risk of poor outcomes.

Childhood cerebral malaria: Pattern of biochemical parameters and clinical outcome in a Nigerian tertiary hospital

BackgroundThe outcome of children with cerebral malaria involves an interplay of factors including clinical and biochemical parameters, a deep knowledge of these laboratory biochemical parameters is essential. Thus, this study aimed to assess the pattern of the biochemical parameters in children with cerebral malaria and how it may affect the clinical outcomes. MethodsA prospective observational cohort study among fifty subjects at the children's emergency unit. The participants were children aged 6 months to 12 years admitted with a history of fever and altered sensorium, demonstrable malaria parasite in the blood film and cerebrospinal fluid (CSF) analysis not suggestive of central nervous system (CNS) infections. Detailed history was taken with thorough examinations of each child. Samples were collected for malaria parasites, serum electrolytes, urea, creatinine, and blood glucose values. The clinical outcomes were correlated with the analyte levels. Results60 % of the children survived without any sequelae with the highest proportion (70 %) of survivors being children above five years. Children with hypoglycemia had a 3.5-fold higher risk of poor outcomes and this is statistically significant (RR = 3.65 p = 0.014). Hyperkalaemia was significantly associated with poor outcomes (RR = 2.57, p = 0.009). Subjects with hypochloraemia had three times the risk of poor outcome and mortality with statistically significant association (RR = 3.07, χ2 = 8.519, p = 0.004). There was a significant association between metabolic acidosis and poor clinical outcome. (RR = 1.99, χ2 = 4.089, p = 0.043). The parasite density was significantly associated with the serum bicarbonate (HCO3−) and Chloride, p-value < 0.05. ConclusionHypoglycaemia, hyperkalemia, hypochloremia and metabolic acidosis were significantly associated with poor outcomes, thus, good predictors of clinical outcomes in children diagnosed with cerebral malaria. Periodic evaluation and monitoring of these parameters is essential for prompt intervention to forestall devastating outcomes.

6909 Mortality and Readmission Rates for Inpatients with Diabetic Foot Ulcer in a Tertiary, Urban Medical Center: A Five-Year Retrospective Review

Abstract Disclosure: A. Herrera Chancay: None. R. Lopez Fanas: None. H. Tabassum: None. J. Daily: None. A. Myers: None. Background: Diabetic Foot Ulcer (DFU) is a severe complication of diabetes mellitus and is associated with high rates of morbidity and mortality. The incidence of DFUs and amputation disproportionately impact Black and Hispanic populations. DFU is also associated with a high rate of hospital readmissions and prolonged length of stay (LOS). The goal of this study was to examine 1-year mortality data, LOS and readmission rate. Methods: This study was a retrospective chart review of 1348 patients admitted to three hospitals in our system in the Bronx from 6/1/16 to 5/31/21. Data was extracted from the EPIC® electronic health records, based on the diagnoses ICD 10 codes, E10.621 and E11.622. Inclusion criteria was patients admitted with an active DFU regardless of other admission diagnosis, age 18 years or above. The index admission was defined as the first admission in our medical records within the date range. Patients were excluded if their index admission was not accessible through our EMR. Simple logistic regression and multiple logistic regression were used to analyze the association between variables of interest and mortality at index admission and at 1-year, LOS and re admissions. Results: Of the 650 eligible patients, the mean age was 59 + 13 years, 70% of patients were male, and majority were non-White (88%). Mortality was 1% during the index admission and the risk increased to 6% at 1 year after the index admission. Readmission with an active DFU from the index admission occurred in 15% of patients within 30-days, 32% of patients within 90 days, and 55% of patients within 1 year. The mean length of stay was 9 +7.5 days. Discussion: Our study in an urban region has identified high rates of mortality and costs associated with DFU, which has been reported in many settings. This patient population is high risk for poor outcomes and targeted programs are needed to reduce mortality and provide care to reduce readmissions. Future studies that explore the challenges of DFU health care and that test interventions are needed to improve DFU related health outcomes. Presentation: 6/2/2024

Positive Lymph Node Ratio as a new prognostic score in Geriatric patients with operated gastric cancer

ObjectiveThe pivotal prognostic determinant for recurrence and survival in surgically treated gastric cancer (GC) patients remains the lymph node status. Despite the adoption of D2 lymph node dissection as the standard approach in recent years, its association with increased morbidity in elderly patients raises concerns. This study aims to explore the prognostic significance of the Positive Lymph Node Ratio (PLNR) score in the context of recurrence and survival among elderly patients with surgically treated GC. Material and methodA retrospective review of files about surgically treated patients with GC was conducted. The prognostic impact of the PLNR score on overall survival (OS) was assessed through Receiver Operating Characteristic (ROC) analysis. ResultsThe cut-off value for the PLNR, determined through ROC analysis, was identified as 0.138. This value serves as a crucial threshold, as it distinguishes patients with a higher risk of poor outcomes. Patients with a PLNR score of 0.138 or below exhibited a median OS of 111 months, whereas those with a PLNR score above 0.138 had a significantly lower median OS of 22 months (p = 0.004). ConclusionOur findings revealed that the PLNR emerged as an independent predictor of survival and recurrence in patients undergoing GC resection.However, it's important to note that while valuable, the PLNR system has limitations. It does not encompass the T stage, a key factor in cancer staging. Therefore, it cannot be a direct substitute for the comprehensive information TNM staging provides. It should be used as a supplementary tool in predicting prognosis, particularly in elderly patients unsuitable for standard lymph node dissection.

Lateral QRS amplitude is independently associated with outcome after cardiac resynchronization therapy: Advancing patient selection?

BackgroundCardiac resynchronization therapy (CRT) is a cornerstone in the treatment of selected heart failure patients. However, a relevant proportion of patients do not show beneficial response. Identification of simple, additive, and outcome-relevant selection criteria may improve selection of patients. ObjectiveWe sought to determine whether baseline QRS amplitude is associated with outcome in CRT. MethodsQuantification of intrinsic, pre–CRT implantation QRS amplitude was performed in an observational multinational 2-center retrospective cohort analysis (derivation cohort Zurich, n = 178, 2000–2015; validation cohort Leuven, n = 183, 1999–2016) with a composite end point of all-cause mortality, ventricular assist device implantation, or heart transplantation at 5 years. ResultsHigher baseline to peak amplitude in lateral leads (lead I and V6) was associated with a lower risk of reaching the composite end point (lead I: hazard ratio, 0.86 [95% confidence interval, 0.78–0.95] per millivolt, P = .002; lead V6: hazard ratio, 0.94 [95% confidence interval, 0.88–1.00] per millivolt, P = .043). Concordance index–based comparison of quartile, spline, and receiver operating characteristic curve analysis suggested cutoff values of 6 mV for lead I and 3 mV for V6 for optimal discrimination of outcome. External validation confirmed the cutoff of 3 mV in lead V6 as a highly significant discriminator of outcome (P < .001) associated with a risk reduction of 65%. ConclusionLow QRS amplitude in lateral electrocardiogram leads is associated with higher risk of poor outcome in CRT patients. A cutoff of 3 mV in lead V6 proved highly discriminative. Further studies need to confirm the additive value of QRS amplitude in selection of patients for CRT and to assess whether CRT may be made available to more patients.

Impact of a mortality prediction tool on end-of-life (EOL) quality measures.

404 Background: Determining treatment options for patients with cancer can be difficult for providers, especially when it comes to deciding the appropriate time to stop therapy. Many factors come into play when making important treatment and quality of life decisions including cancer responsiveness to treatment, patient preferences, labs, and diagnostic studies. Providers use their experience, instinct, and patient input in making these decisions, and can still have a difficult time knowing the best option for the patient. To support providers in identifying patients at high risk for poor outcomes, we developed a 90-day mortality risk machine-learning model (MRM) for patients with metastatic cancer. The tool was designed to facilitate earlier advance care planning (ACP) discussions and prognostic awareness leading to alignment of treatment with patient goals and values. The US Oncology Network (The Network) implemented the MRM beginning in early 2021 through late 2022. We assessed the impact of the MRM using performance on 5 EOL Quality Measures included in Medicare’s Merit-based Incentive Payment System (MIPS) Program. Methods: MRM predictions were made every two weeks and provided to practices through a secure web-based dashboard. Practices customized their use of the MRM based on their unique workflow. MRM utilization was collected July – December 2023 and determined how frequently practices accessed the dashboard. Practices were separated into two groups based on MRM utilization: High Utilizers (HU) used the tool more than once a week and Low Utilizers (LU) did not use the tool or used it less than or equal to once a week. EOL MIPS measure performance was collected and evaluated from the 2023 calendar year. For each of the EOL MIPS measures, we compared the average score between the two practice groups. A 2-sample unequal variance t-test with 1-tailed distribution was used to determine if there was a significant difference between the two practice groups for each EOL MIPS measure. Results: A total of 25 practices had available EOL MIPS scores. Five practices were classified as a HU group and 20 were in the LU group. EOL MIPS measure scores were higher among HU. All results trended towards improvement with a statistically significant difference observed for PIMSH 1 and MIPS 457 for HU compared to LU. The table shows the average MIPS scores across the two practice groups. Conclusions: Practices with the highest reported utilization of the MRM also reported improved MIPS EOL quality scores for the 2023 calendar year. While each practice implemented MRM independently, those using the tool more than once per week had improved performance in their MIPS EOL quality scores. EOL MIPS Measure HU LU Delta P MIPS 047 ACP 80.7 59.8 20.9 0.066 PIMSH 1 ACP Stage 4 disease 67.7 40.2 27.5 0.002 MIPS 453 Chemo Last 14 days (inv) 10.7 11.7 -1.0 0.279 MIPS 457 Hospice &lt;3 days (inv) 11.7 14.8 -3.1 0.038 PIMSH 9 Supportive RX last 14 days (inv) 5.3 6.6 -1.3 0.119

Clinical and Laboratory Factors Associated with Mortality in ICU-Hospitalized COVID-19 Patients in a Western Center of Iran

Introduction: The purpose of this study was to investigate the demographic, clinical, and laboratory risk factors associated with mortality in Coronavirus disease 2019 (COVID-19) patients who were admitted to the intensive care unit (ICU) in Iran. Material &amp; Methods: This retrospective study analyzed data from 867 COVID-19 patients admitted to the ICU of Shahid Beheshti Hospital in Hamadan (west of Iran) from September 2020 to March 2022. The association between demographic, clinical, and laboratory factors and mortality rates was assessed using univariable and multiple logistic regression analysis. Results: During the study period, 512 (59.1%) patients were deceased from Covid-19. According to the adjusted logistic regression, the odds of death in patients with an age higher than 60 years were 1.12 (95% CI: 1.01- 1.24; p=0.026). The OR estimate of death in patients with bradycardia and tachycardia was 2.32 (95% CI: 1.72- 3.12; p &lt; 0.001) and 2.40 (95% CI: 1.67- 3.42; p &lt; 0.001), respectively. Moreover, SPO2 lower than 88%, WBC over 11 ×1000μL, K over 5.2 mEq/L, and LDH above 942 U/L were significantly associated with increased odds of death (p &lt; 0.05). Conclusion: The study identified several demographic, clinical, and laboratory risk factors associated with mortality in COVID-19 patients admitted to the ICU in Iran. These findings can help healthcare providers identify patients at higher risk of poor outcomes and tailor interventions accordingly.

Intervening on Metabolic Dysfunction-Associated Steatotic Liver Disease in Latino/a and Black Patients with Diabetes: A Feasibility Pilot.

Patients with type 2 diabetes (T2D), particularly those from historically marginalized racial and ethnic groups, are at high risk of poor outcomes from metabolic dysfunction-associated steatotic liver disease (MASLD). Evidence-based management (EBM) of MASLD can prevent its progression to cirrhosis and poor outcomes, yet rates of EBM of MASLD are low in T2D. In this pilot study of ten participants, we examined the feasibility and acceptability of a telehealth intervention that delivered EBM of MASLD in Latino/a and Black patients with T2D in the Duke Healthcare System. The intervention included: (a) MASLD education; (b) diet/lifestyle counseling; (c) T2D medication adjustment (i.e., to promote liver health) and (d) ordering of clinically indicated tests and referrals. This 3-month intervention was delivered by an endocrinologist over three virtual study visits. Phone interviews were conducted at study conclusion. We examined rates of recruitment, retention, T2D medication adjustment, and ordering of clinically indicated tests/referrals. The median age of our cohort was 54.0 (44.0, 59.0); six and four participants self-identified as Latino/a ethnicity and Black race, respectively. Retention rate in this study was 100% (n = 10/10), and all scheduled visits were completed (n = 30/30). Recruitment occurred over one month, and the rate was 25.8% (n = 8/31) by telephone call and 10% (n = 2/20) by electronic health record message. The intervention was highly acceptable based on a median Treatment Acceptability and Preferences score of 4.0 (4.0, 4.0). In exit interviews, all participants reported improved understanding of MASLD and its link to diabetes. All participants received T2D medication adjustment (n = 5/10) and/or clinically indicated testing/referral (n = 10/10) for the purpose of improving MASLD. We demonstrated that a telehealth intervention designed to proactively deliver EBM of MASLD was feasible and acceptable in a cohort of Latino/a and Black patients with T2D. Opportunities existed to better align each participants' care with guideline-based care of MASLD.

Impaired glucose metabolism and the risk of vascular events and mortality after ischemic stroke: A systematic review and meta-analysis

BackgroundDiabetes mellitus (DM), prediabetes, and insulin resistance are highly prevalent in patients with ischemic stroke (IS). DM is associated with higher risk for poor outcomes after IS.ObjectiveInvestigate the risk of recurrent vascular events and mortality associated with impaired glucose metabolism compared to normoglycemia in patients with IS and transient ischemic attack (TIA).MethodsSystematic literature search was performed in PubMed, Embase, Cochrane Library on 21st March 2024 and via citation searching. Studies that comprised IS or TIA patients and exposures of impaired glucose metabolism were eligible. Study Quality Assessment Tool was used for risk of bias assessment. Covariate adjusted outcomes were pooled using random-effects meta-analysis.Main outcomesRecurrent stroke, cardiac events, cardiovascular and all-cause mortality and composite of vascular outcomes.ResultsOf 10,974 identified studies 159 were eligible. 67% had low risk of bias. DM was associated with an increased risk for composite events (pooled HR (pHR) including 445,808 patients: 1.58, 95% CI 1.34–1.85, I2 = 88%), recurrent stroke (pHR including 1.161.527 patients: 1.42 (1.29–1.56, I2 = 92%), cardiac events (pHR including 443,863 patients: 1.55, 1.50–1.61, I2 = 0%), and all-cause mortality (pHR including 1.031.472 patients: 1.56, 1.34–1.82, I2 = 99%). Prediabetes was associated with an increased risk for composite events (pHR including 8,262 patients: 1.50, 1.15–1.96, I2 = 0%) and recurrent stroke (pHR including 10,429 patients: 1.50, 1.18–1.91, I2 = 0), however, not with mortality (pHR including 9,378 patients, 1.82, 0.73–4.57, I2 = 78%). Insulin resistance was associated with recurrent stroke (pHR including 21,363 patients: 1.56, 1.19–2.05, I2 = 55%), but not with mortality (pHR including 21,363 patients: 1.31, 0.66–2.59, I2 = 85%).DiscussionDM is associated with a 56% increased relative risk of death after IS and TIA. Risk estimates regarding recurrent events are similarly high between prediabetes and DM, indicating high cardiovascular risk burden already in precursor stages of DM. There was a high heterogeneity across most outcomes.