Outcome Definitions Research Articles

Acute kidney injury in Staphylococcus aureus bacteraemia: a recurrent events analysis

ObjectivesTo estimate risk factors for acute kidney injury (AKI) and the effect of AKI on mortality in Staphylococcus aureus bacteraemia, while taking into account recurrent AKI episodes, competing risks, time-varying variables, and time-varying effects. MethodsWe performed an unplanned analysis using data from a multicentre cohort study of patients with Staphylococcus aureus bacteraemia (SAB). The primary outcome was cumulative incidence of AKI, according to Kidney Disease Improving Global Outcomes definitions. ResultsWe included 453 patients in this study of whom 194 (43%) patients experienced one or more AKI episodes. Age (hazard ratio (HR) 1.013, 95% CI 1.001–1.024), Charlson comorbidity index (HR 1.07, 95% CI 1.01–1.14), prior chronic kidney disease (HR 1.76, 95% CI 1.28–2.42), septic shock (HR 3.28, 95% CI 2.31–4.66), persistent bacteraemia (HR 1.53, 95% CI 1.08–2.17), and vancomycin therapy (HR 1.80, 95% CI 1.05–3.09) were independently associated with AKI, but flucloxacillin, cefazolin, rifampicin, and aminoglycoside therapy were not. After adjustment for confounders and immortal time bias, AKI was associated with an increased risk of 90-day mortality (HR 4.26, 95% CI 2.91–6.23). DiscussionThe incidence of AKI in SAB is high and a substantial proportion of patients develop recurrent episodes of AKI after recovery. AKI is specifically linked to the use of vancomycin and not to anti-staphylococcal penicillins. The clinical outcome of patients with SAB complicated by AKI is worse than previously estimated.

Effectiveness of COVID-19 vaccines against severe COVID-19 among patients with cancer in Catalonia, Spain

Patients with cancer were excluded from pivotal randomized clinical trials of COVID-19 vaccine products, and available observational evidence on vaccine effectiveness (VE) focused mostly on mild, and not severe COVID-19, which is the ultimate goal of vaccination for high-risk groups. Here, using primary care electronic health records from Catalonia, Spain (SIDIAP), we built two large cohorts of vaccinated and matched control cancer patients with a primary vaccination scheme (n = 184,744) and a booster (n = 108,534). Most patients received a mRNA-based product in primary (76.2%) and booster vaccination (99.9%). Patients had 51.8% (95% CI 40.3%−61.1%) and 58.4% (95% CI 29.3%−75.5%) protection against COVID-19 hospitalization and COVID-19 death respectively after full vaccination (two-doses) and 77.9% (95% CI 69.2%−84.2%) and 80.2% (95% CI 63.0%−89.4%) after booster. Compared to primary vaccination, the booster dose provided higher peak protection during follow-up. Calibration of VE estimates with negative outcomes, and sensitivity analyses with slight different population and COVID-19 outcomes definitions provided similar results. Our results confirm the role of primary and booster COVID-19 vaccination in preventing COVID-19 severe events in patients with cancer and highlight the need for the additional dose in this population.

Optimize and Thrive: An Electronic Health Record Optimization Program Case Study.

Although electronic health record optimization programs are common in healthcare organizations, a dearth of published evaluations of these programs exists. Little is known about the ability of optimization programs to handle flooding requests for change and achieve their objectives of cost savings, value, quality of care, and efficiency. This program evaluation reviewed one organization's electronic health record clinical optimization program. The evaluation examines the implementation of the insulin dosing calculator project at five hospitals within a large nonprofit healthcare organization using interviews, project documents, reported insulin dosing errors, and workflow observation to determine if the program provides sufficient structure and processes to successfully implement large optimization projects and achieve the project's desired outcomes. This evaluation finds that the optimization program processes support the implementation of large projects. The program can improve the planning of human resources to increase productivity and reduce waste. A clearer definition of meaningful project outcomes at the onset would allow the program to measure and communicate its accomplishments across the organization.

GLP-1 Receptor Agonist Exposures Are Increasingly Common and Generally Associated with Mild Symptoms: A Single Poison Center Experience

IntroductionGlucagon-like peptide-1 receptor agonist use has increased over the last decade for glycemic control in type 2 diabetes mellitus, cardiovascular risk reduction, and weight loss. Clinical trials indicate that gastrointestinal adverse effects are commonly experienced and severe hypoglycemia is rare; however, there is little data regarding glucagon-like peptide-1 receptor agonist in overdose.MethodsWe performed a retrospective chart review evaluating and characterizing glucagon-like peptide-1 receptor agonist exposures reported to a single poison center between 2006 and 2023. Patient demographics, circumstances of exposure, clinical effects, and outcomes were abstracted from charts. Descriptive statistics were utilized to summarize demographic information and clinical factor data.ResultsA total of 152 charts met inclusion criteria. Therapeutic errors accounted for 91% of exposures. Most patients (67%) reported no symptoms, although not all patients were followed to a definitive outcome. Nausea, vomiting, generalized weakness, and abdominal pain were the predominant symptoms reported. Most patients (62%) were monitored and closely followed in the home setting. Hypoglycemia was rare but occurred in the setting of a single agent glucagon-like peptide-1 receptor agonist exposure in two patients. Two additional patients who developed hypoglycemia involved co-administration of insulin. 21% of the exposures were related to errors on initial use of the pen.ConclusionExposures to glucagon-like peptide-1 receptor agonist have increased substantially over the years. Effects from an exposure tended to be mild and primarily involve gastrointestinal symptoms. Hypoglycemia was rare. Therapeutic and administration errors were common. Education on pen administration may help to reduce errors.

Donor human milk versus infant formula for low-risk infants: a systematic review.

There is an increasing acceptance and use of donor human milk (DHM) in healthy infants. This review investigates the benefits and risks of mothers' own milk (MOM) supplementation with DHM compared to infant formula (IF) in moderate-late preterm (MLP) and early term (ET) infants. MEDLINE, EMBASE, CINAHL, Scopus, Cochrane CENTRAL and clinical trial registries were searched for studies published up to September 2023. The primary outcome was rates of exclusive breastfeeding (EBF). Certainty of evidence was assessed using GRADE framework. RoB1 and EPHPP were used to assess risk of bias for controlled trials and observational studies, respectively. Eleven studies involving total of 10,147 infants and six ongoing trials were identified. Studies were of low quality, and the certainty of evidence was assessed as very low. Three studies suggested benefits of DHM compared to IF on EBF at discharge, while two suggested no difference. No clear effect was observed on EBF duration, any breastfeeding, hypoglycemia and morbidity. No health risks were reported. The effect of supplementing MOM with DHM instead of IF on EBF and other health outcomes is unclear. High-quality studies are required to determine the potential benefits or risks of DHM supplementation in this population. We identified 11 relevant studies reporting on supplementation of mothers' own milk (MOM) with donor human milk (DHM) compared to infant formula (IF). Studies were of low quality, had heterogeneous outcome definitions and were geographically limited; all except two were observational studies. Limited evidence showed no clear difference on rates of exclusive breastfeeding and other health outcomes. No potential risks were reported. The increasing acceptance and use of DHM in healthy infants highlights the need for future high-quality studies.

Coronary artery calcification score as a prognostic indicator for COVID-19 mortality: evidence from a retrospective cohort study in Iran

Background: Coronary artery calcification (CAC) has been established as an independent risk factor for major adverse cardiovascular events. Nevertheless, the effect of CAC on in-hospital mortality and adverse clinical outcomes in patients with COVID-19 has yet to be determined. Objective: To investigate the association between CAC score and in-hospital mortality of COVID-19 patients Method: This retrospective cohort study was conducted across tertiary hospitals of University of Medical Sciences in Babol, a northern city in Iran, and enroled 551 confirmed COVID-19 patients with definitive clinical outcomes of death or discharge between March and October 2021. Demographic and clinical data, along with chest computed tomography (CT) findings and CAC score on admission, were systematically collected. The study utilized logistic regression analysis and Kaplan-Meier plots to explore the association between CAC score and in-hospital death and adverse clinical outcomes. Results: The mean age was 60.05±12.8. A significant difference regarding CAC score, age, history of hypertension, hyperlipidemia, cardiovascular diseases, and respiratory diseases among survivors and non-survivors was observed; however, gender was not found to be different. Furthermore, in multivariate analysis, CAC score greater than or equal to 400 [odds ratio (OR): 4.2, 95% CI: 1.70–10.33, P value: 0.002], hospitalization time (OR: 1.31, 95% CI: 1.13–1.53, P value < 0.001), length of ICU stay (OR: 2.02, 95% CI: 1.47–2.77, P value < 0.001), severe or critical COVID-19 severity in time of admission (95% CI: 1.79–18.29, P value: 0.003), and history of respiratory diseases (95% CI: 2.18–40, P value: 0.003) were found to be associated with higher odds of in-hospital mortality. Log-rank test also revealed a significant difference regarding the time of admission to death between patients with CAC score greater than or equal to 400 and those with CAC score less than 400 (P value < 0.001). Conclusion: Elevated CAC score is a crucial risk factor linked to in-hospital mortality and unfavourable clinical results in confirmed COVID-19 patients. This finding emphasizes the need for careful monitoring of individuals with high CAC scores.

Efficacy and Safety of High PEEP NIV in COVID-19 Patients.

To investigate the efficacy and safety of non-invasive ventilation (NIV) with high PEEP levels application in patients with COVID-19-related acute respiratory distress syndrome (ARDS). This is a retrospective cohort study with data collected from 95 patients who were administered NIV as part of their treatment in the COVID-19 intensive care unit (ICU) at University Hospital Centre Zagreb between October 2021 and February 2022. The definite outcome was NIV failure. High PEEP NIV was applied in all 95 patients; 54 (56.84%) patients could be kept solely on NIV, while 41 (43.16%) patients required intubation. ICU mortality of patients solely on NIV was 3.70%, while total ICU mortality was 35.79%. The most significant difference in the dynamic of respiratory parameters between 2 patient groups was visible on Day 3 of ICU stay: By that day, patients kept solely on NIV required significantly lower PEEP levels and had better improvement in PaO2, P/F ratio, and HACOR score. High PEEP applied by NIV was a safe option for the initial respiratory treatment of all patients, despite the severity of ARDS. For some patients, it was also shown to be the only necessary form of oxygen supplementation.

#367 PROTECT and NefIgArd two-year proteinuria and eGFR outcomes in adults with IgA nephropathy: matching-adjusted indirect comparison

Abstract Background and Aims Immunoglobulin A (IgA) nephropathy is a rare kidney disorder characterized by deposition of IgA in the glomeruli causing progressive loss of kidney function and increased risk of kidney failure. In the absence of a head-to-head trial, this study used unanchored matching-adjusted indirect comparison (MAIC) of clinical trial data to compare two-year efficacy outcomes between Sparsentan in PROTECT and targeted-release formulation (TRF) budesonide plus real-world optimized and stable renin-angiotensin system inhibition (RASi) standard-of-care (SoC) in NefIgArd. Method We conducted an unanchored MAIC using individual patient level data from the PROTECT trial and aggregate data from the NefIgArd trial. Patients in the sparsentan arm of PROTECT were weighted to match key baseline characteristics of patients in the targeted-release formulation (TRF) budesonide + RASi SoC arm of NefIgArd based on publicly accessible, clinically pertinent baseline characteristics and prognostic factors using the method of moments. After weighting, percentage reduction of urine protein-creatinine ratio (UPCR) relative to baseline and two-year eGFR total slope (based on available data, chronic slope estimates are currently not available from NefIgArd) were estimated. A mixed model for repeated measures (MMRM) was used for UPCR relative percentage reduction and a random effect coefficient model for eGFR total slope. A two-tailed z-test with a pooled standard error was conducted for the indirect comparison. Results After assessing PROTECT and NefIgArd cross-trial characteristics on key outcome definitions, inclusion and exclusion criteria, and patient population, the two trials were considered sufficiently similar for unanchored MAIC. After weighting individual patient data from PROTECT, all matched baseline patient characteristics were well-balanced between arms of the two trials. Comparative results showed patients treated with sparsentan in PROTECT (−43.2% relative reduction in UPCR) exhibited a greater mean percentage reduction in proteinuria at two-years compared to TRF budesonide + RASi SoC (−30.7% relative reduction in UPCR), a relative percentage reduction of 18.1% (p = 0.03; Fig. 1A). For eGFR total slope, patients treated with sparsentan exhibited a slower decline in kidney function compared to TRF budesonide + RASi SoC, a difference of 0.54 ml/min/1.73 m2 per year; however, this difference was not statistically significant (p = 0.35; Fig. 1B). Conclusion Aligned to an earlier analysis of percentage reduction in proteinuria at 9-months (−37%, p < 0.0001 favoring sparsentan), our MAIC results show that sparsentan in PROTECT was associated with a greater relative percentage reduction in proteinuria at two-years compared to TRF budesonide plus real-world optimized and stable RASi SoC in NefIgArd. eGFR total slope for sparsentan in PROTECT was comparable to that reported for TRF budesonide plus real-world optimized and stable RASi SoC in NefIgArd. Results comparing chronic slope may provide a better indication of the long-term nephroprotective value of both therapies.

Antimicrobial Stewardship Programs in Neonates: A Meta-Analysis.

Neonatal sepsis is a significant contributor to mortality and morbidity; however, the uncontrolled use of antimicrobials is associated with significant adverse effects. Our objective with this article is to review the components of neonatal antimicrobial stewardship programs (ASP) and their effects on clinical outcomes, cost-effectiveness, and antimicrobial resistance. We selected randomized and nonrandomized trials and observational and quality improvement studies evaluating the impact of ASP with a cutoff date of May 22, 2023. The data sources for these studies included PubMed, Medline, Embase, Cochrane CENTRAL, Web of Science, and SCOPUS. Details of the ASP components and clinical outcomes were extracted into a predefined form. Of the 4048 studies retrieved, 70 studies (44 cohort and 26 observational studies) of >350 000 neonates met the inclusion criteria. Moderate-certainty evidence reveals a significant reduction in antimicrobial initiation in NICU (pooled risk difference [RD] 19%; 95% confidence interval [CI] 14% to 24%; 21 studies, 27 075 infants) and combined NICU and postnatal ward settings (pooled RD 8%; 95% CI 6% to 10%; 12 studies, 358 317 infants), duration of antimicrobial agents therapy (pooled RD 20%; 95% CI 10% to 30%; 9 studies, 303 604 infants), length of therapy (pooled RD 1.82 days; 95% CI 1.09 to 2.56 days; 10 studies, 157 553 infants), and use of antimicrobial agents >5 days (pooled RD 9%; 95% CI 3% to 15%; 5 studies, 9412 infants). Low-certainty evidence reveals a reduction in economic burden and drug resistance, favorable sustainability metrices, without an increase in sepsis-related mortality or the reinitiation of antimicrobial agents. Studies had heterogeneity with significant variations in ASP interventions, population settings, and outcome definitions. Moderate- to low-certainty evidence reveals that neonatal ASP interventions are associated with reduction in the initiation and duration of antimicrobial use, without an increase in adverse events.

Decoding the scientific creative-ability of subjects using dual attention induced graph convolutional-capsule network

There is an increasing demand of creative individuals in scientific research, innovation sectors of software industries and industrial research/development sectors. On the other hand, there are requirements of analytical minded people in investigation departments, academia and management sectors. Unfortunately, classification of individuals into creative and analytical categories based on their behavioral response is not easy. This paper makes an attempt to classify people into 4 categories: Analytical, High Creative, Medium Creative and Low Creative from their brain response during their participation in a creativity-test based on convergent problems. The proposed classification problem involves two main phases. In the first phase, a brain connectivity map is constructed from the electroencephalogram (EEG) response of the brain using Pearson’s correlation technique. In the second phase, a set of three centrality features, namely degree, closeness and betweenness are extracted from the connectivity map and fed to a classifier model for categorizing the afore-said class labels. The classifier model here synergistically combines one Graph Convolution Network (to abstract the brain connectivity-based centrality features) and one Capsule Network (to undertake the classification task) to develop the proposed Dual Attention Induced Graph Convolutional-Capsule network (DAIGC-CapsNet). The novelty of the proposed classifier model lies in the dual attention module and a new routing algorithm. The dual attention modules includes a) a Mish Induced Attention Module (MI-AM) to guide the graph convolution layers to focus on the most significant node attributes, and b) a Fused Attention Module (F-AM) to ensure the transmission of the most relevant predictions from the primary capsule to the class capsule layers. The latter attention module combines the effects of two sub-modules (channel and spatial) that concentrate on determining "what" and "where" to prioritize within the channel and spatial dimensions of the primary capsules. Lastly, the coupling between the primary and class capsule layers is strengthened by a Sparsemax based routing algorithm. Experiments conducted yield fruitful and definitive outcomes that substantiate the effectiveness of the proposed framework with respect to its conventional counterparts. Moreover, statistical validation of the proposed classifier using Friedman’s test also proves its efficacy compared to its competitors.

Use of Fish Skin Grafts for Wound Management: Report of 5 Pediatric Cases

Abstract Background Managing wounds and scars in children presents a significant challenge for surgical and rehabilitation teams. Studies have already explored the potential of fish skin grafts with Omega-3 in hard-to-heal lower extremity chronic ulcers and deep-burn management. Aims The purpose of this study is to assess the safety and outcome of intact fish skin grafts with Omega-3 when used as skin replacement therapy in the pediatric population. Methods This article was conducted in adherence to our hospital's ethical guidelines. Patients enrolled in this study were identified retrospectively. Their medical records were reviewed, and data was collected concerning patient demographics, initial mode of injury, indication for fish skin placement, operative data, postoperative care, complications and outcomes. The acellular dermal matrix was obtained from North Atlantic codfish skin (Gadus morhua) farmed in Isafjordur, Iceland. Results All patients underwent meticulous wound debridement and patch application under general anesthesia and were discharged the same day. Wound surface ranged between 10 and 110 cm2 (mean: 53 cm2). Standard analgesic medications were taken for a maximum period of 48 hours in all patients. Upon follow-up at our outpatient clinic, shrinkage in the wound surface was observed in all patients after a few days, followed by early wound granulation. Two patients underwent subsequent split-thickness grafting to achieve healing. The mean time required to achieve complete epithelialization was 48.6 days (range: 29 – 62 days). No hypersensitivity or allergic reaction was reported. The definitive outcome was satisfactory in all wounds, meaning complete wound coverage. Conclusion The findings from this case series reveal that fish skin grafts with Omega-3 can be an effective and a safe scaffold in the process of repairing damaged tissues in the pediatric population. We have been able to accomplish a quality skin replacement therapy, with no donor site morbidity.

Predicting outcome after aneurysmal subarachnoid hemorrhage by exploitation of signal complexity: a prospective two-center cohort study

BackgroundSignal complexity (i.e. entropy) describes the level of order within a system. Low physiological signal complexity predicts unfavorable outcome in a variety of diseases and is assumed to reflect increased rigidity of the cardio/cerebrovascular system leading to (or reflecting) autoregulation failure. Aneurysmal subarachnoid hemorrhage (aSAH) is followed by a cascade of complex systemic and cerebral sequelae. In aSAH, the value of entropy has not been established yet.MethodsaSAH patients from 2 prospective cohorts (Zurich—derivation cohort, Aachen—validation cohort) were included. Multiscale Entropy (MSE) was estimated for arterial blood pressure, intracranial pressure, heart rate, and their derivatives, and compared to dichotomized (1–4 vs. 5–8) or ordinal outcome (GOSE—extended Glasgow Outcome Scale) at 12 months using uni- and multivariable (adjusted for age, World Federation of Neurological Surgeons grade, modified Fisher (mFisher) grade, delayed cerebral infarction), and ordinal methods (proportional odds logistic regression/sliding dichotomy). The multivariable logistic regression models were validated internally using bootstrapping and externally by assessing the calibration and discrimination.ResultsA total of 330 (derivation: 241, validation: 89) aSAH patients were analyzed. Decreasing MSE was associated with a higher likelihood of unfavorable outcome independent of covariates and analysis method. The multivariable adjusted logistic regression models were well calibrated and only showed a slight decrease in discrimination when assessed in the validation cohort. The ordinal analysis revealed its effect to be linear. MSE remained valid when adjusting the outcome definition against the initial severity.ConclusionsMSE metrics and thereby complexity of physiological signals are independent, internally and externally valid predictors of 12-month outcome. Incorporating high-frequency physiological data as part of clinical outcome prediction may enable precise, individualized outcome prediction. The results of this study warrant further investigation into the cause of the resulting complexity as well as its association to important and potentially preventable complications including vasospasm and delayed cerebral ischemia.

Validation of a Prediction Model for Acute Kidney Injury after Cardiac Surgery in a Retrospective Asian Cohort.

Background: The incidence of postoperative acute kidney injury (AKI) is relatively high in some Asian regions. The objective of this study was to examine the performance of an AKI prediction model developed based on data from a White-dominant population in a retrospective Asian cohort of patients undergoing cardiovascular surgery. Methods: We retrospectively identified 549 patients who underwent elective major cardiovascular surgery (coronary artery bypass graft, valve surgery, and aorta surgery), and excluded those who underwent a percutaneous cardiovascular procedure. Patients with a baseline estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 were also excluded. AKI was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) definition. Performance of the prediction model for AKI was expressed as area under the receiver operating characteristic curve (AUC). Results: The prediction model had a good predictive accuracy for postoperative AKI (all AUC > 0.92). The AUC of the prediction model in subgroups of age (<65 years and ≥65 years), sex (male and female), hypertension, and diabetes were all >0.85 (all p values < 0.001). Conclusions: The model could be used to predict postoperative AKI in Asian patients undergoing cardiovascular surgery with a baseline eGFR ≥ 60 mL/min/1.73 m2.

Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies.

Acute ischemic stroke (AIS) outcome prognostication remains challenging despite available prognostic models. We investigated whether a biomarker panel improves the predictive performance of established prognostic scores. We investigated the improvement in discrimination, calibration, and overall performance by adding five biomarkers (procalcitonin, copeptin, cortisol, mid-regional pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)) to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) and age/NIHSS scores using data from two prospective cohort studies (SICFAIL, PREDICT) and one clinical trial (STRAWINSKI). Poor outcome was defined as mRS > 2 at 12 (SICFAIL, derivation dataset) or 3 months (PREDICT/STRAWINSKI, pooled external validation dataset). Among 412 SICFAIL participants (median age 70 years, quartiles 59-78; 63% male; median NIHSS score 3, quartiles 1-5), 29% had a poor outcome. Area under the curve of the ASTRAL and age/NIHSS were 0.76 (95% CI 0.71-0.81) and 0.77 (95% CI 0.73-0.82), respectively. Copeptin (0.79, 95% CI 0.74-0.84), NT-proBNP (0.80, 95% CI 0.76-0.84), and MR-proANP (0.79, 95% CI 0.75-0.84) significantly improved ASTRAL score's discrimination, calibration, and overall performance. Copeptin improved age/NIHSS model's discrimination, copeptin, MR-proANP, and NT-proBNP improved its calibration and overall performance. In the validation dataset (450 patients, median age 73 years, quartiles 66-81; 54% men; median NIHSS score 8, quartiles 3-14), copeptin was independently associated with various definitions of poor outcome and also mortality. Copeptin did not increase model's discrimination but it did improve calibration and overall model performance. Copeptin, NT-proBNP, and MR-proANP improved modest but consistently the predictive performance of established prognostic scores in patients with mild AIS. Copeptin was most consistently associated with poor outcome in patients with moderate to severe AIS, although its added prognostic value was less obvious.

Abstract PO1-06-03: Efficacy of First-line Treatments for Hormone Receptor-positive, Human Epidermal Growth Factor Receptor 2-positive Metastatic Breast Cancer: A Systematic Literature Review and Network Meta-analysis Feasibility Assessment

Abstract Background: A comprehensive summary of clinical evidence for first-line (1L) treatments for hormone receptor-positive, human epidermal growth factor receptor 2-positive (HR+/HER2+) advanced or metastatic breast cancer (mBC) is needed to understand which treatments have been evaluated and the outcomes associated with different treatments. Understanding the available clinical evidence for HR+/HER2+ mBC 1L treatments can also inform the feasibility of network meta-analyses (NMAs) to estimate relative treatment effects where head-to-head trials are not available. The objective was to prepare a systematic summary of clinical trials of 1L treatments for HR+/HER2+ mBC and assess the feasibility of NMAs for key efficacy outcomes. Methods: A systematic literature review (SLR) was conducted per Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Clinical trials evaluating 1L treatments for adults with HR+/HER2+ mBC published between January 2000 and January 2023 were identified via predefined searches of databases (Embase, MEDLINE, Cochrane Library), relevant congress proceedings, and ClinicalTrials.gov (updating a previous SLR covering January 2000 to December 2020). Study design characteristics, patient characteristics, and efficacy outcomes were extracted from identified trials. An NMA feasibility assessment that considered network connectivity and cross-study heterogeneity was conducted for four efficacy outcomes of interest: progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and clinical benefit rate (CBR). Results: After screening, 37 records reporting on 23 unique studies (11 randomized controlled trials [RCTs] and 12 single-arm trials; 35 study arms in total) were selected. Included trials were mostly phase II or phase III multi-country studies that evaluated a HR+ or HER2+ population, with outcomes being reported for the subgroup of patients with the HR+/HER2+ subtype. Treatments evaluated included one or two anti-HER2 therapies (AHTs) + endocrine therapy (ET) (5/35 study arms), AHTs + chemotherapy (CT) (20/35), AHTs + ET + CT (2/35), AHTs alone (5/35), and ET alone (3/35). For HR+/HER2+ patients, PFS and OS were reported by 17/23 and 10/23 studies, respectively. Reported median PFS and OS ranged from 2.4-23.7 months and 23.9-66.7 months, respectively. Among the 11 included RCTs, hazard ratios and/or Kaplan-Meier curves, which were considered a requirement for NMAs for time to event outcomes, were reported for PFS and OS by 9 and 6 studies, respectively. Among these studies, reported median PFS and OS ranged from 2.4-19.2 months and 23.9-57.9 months, respectively. For HR+/HER2+ patients, ORR and CBR were reported by 13/23 and 6/23 studies, respectively. Assuming all CTs could be considered equivalent treatments and all ETs could be considered equivalent treatments, NMAs involving networks of 9, 6, 6, and 3 treatments were feasible for PFS, OS, ORR, and CBR, respectively. Some patient characteristics including time since mBC diagnosis and proportion with bone metastases were not reported consistently across trials. However, included studies were broadly comparable based on study design characteristics, outcome definitions and other reported patient characteristics such as age and Eastern Cooperative Oncology Group performance status. Conclusion: Clinical trials in 1L HR+/HER2+ mBC have evaluated various combinations of AHTs, CTs, and ETs, with most study arms being AHTs + CT. Although efficacy outcomes of interest were not consistently reported across trials, NMAs were found to be feasible for PFS, OS, ORR, and CBR based on available data. Citation Format: Priyanka Sharma, Chau Dang, Christopher Drudge, Amrita Debnath, Manvir Rai, Eric Gauthier, Edward Broughton. Efficacy of First-line Treatments for Hormone Receptor-positive, Human Epidermal Growth Factor Receptor 2-positive Metastatic Breast Cancer: A Systematic Literature Review and Network Meta-analysis Feasibility Assessment [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-06-03.

Evidence-based advances in minimally invasive surgery in infants with congenital gastrointestinal anomalies: a narrative review.

Minimally invasive surgery (MIS) has been widely utilized to manage congenital gastrointestinal (GI) anomalies in children during the last two decades. Currently, MIS has a proven track-record for its feasibility and provides multiple benefits including better cosmesis, less trauma, and faster recovery in neonates and infants. However, it remains controversial whether MIS provides better definitive outcomes in pediatric patients with GI anomalies, especially among neonates. We aim to review the recent developments of MIS in infants with GI defects, assisting surgeons in making decisions and improving patient outcomes. A comprehensive literature search of PubMed and Web of Science's core collection was performed using terms of MIS techniques and congenital GI anomalies. This review summarizes recent evidence-based advances of MIS in infants with congenital GI defects and potential future strategies based on evidence. Better cosmetic results, less postoperative pain, and an accelerated recovery have been shown to be common advantages of MIS relative to open approaches. Technical hurdles and metabolic disturbance were reported to be the main reasons for the decisions of open approach. Advanced techniques of MIS have made more precise manipulations and better outcomes possible, even for newborns. At the same time, surgeons should not be afraid to use an open approach in certain circumstances due to technical limitations or patient tolerance. The difficulty infants face in expressing their true feelings underscores the need for systematic and objective assessment tools to evaluate surgical outcomes.

Cardiac Surgery-Associated Acute Kidney Injury.

AKI is a common and serious complication of cardiac surgery that has a significant impact on patient morbidity and mortality. The Kidney Disease Improving Global Outcomes definition of AKI is widely used to classify and identify AKI associated with cardiac surgery (cardiac surgery-associated AKI [CSA-AKI]) on the basis of changes in serum creatinine and/or urine output. There are various preoperative, intraoperative, and postoperative risk factors for the development of CSA-AKI which should be recognized and addressed as early as possible to expedite its diagnosis, reduce its occurrence, and prevent or ameliorate its devastating complications. Crucial issues are the inaccuracy of serum creatinine as a surrogate parameter of kidney function in the perioperative setting of cardiothoracic surgery and the necessity to discover more representative markers of the pathophysiology of AKI. However, except for the tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 ratio, other diagnostic biomarkers with an acceptable sensitivity and specificity are still lacking. This article provides a comprehensive review of various aspects of CSA-AKI, including pathogenesis, risk factors, diagnosis, biomarkers, classification, prevention, and treatment management.

The role of serum magnesium in the prediction of acute kidney injury after total aortic arch replacement: A prospective observational study.

Considerable morbidity and death are associated with acute kidney damage (AKI) following total aortic arch replacement (TAAR). The relationship between AKI following TAAR and serum magnesium levels remains unknown. The intention of this research was to access the predictive value of serum magnesium levels on admission to the Cardiovascular Surgical Intensive Care Unit (CSICU) for AKI in patients receiving TAAR. From May 2018 to January 2020, a prospective, observational study was performed in the Guangdong Provincial People's Hospital CSICU. Patients accepting TAAR admitted to the CSICU were studied. The Kidney Disease: Improving Global Outcomes (KDIGO) definition of serum creatinine was used to define AKI, and KDIGO stages two or three were used to characterize severe AKI. Multivariable logistic regression and area under the curve receiver-operator characteristic curve (AUC-ROC) analysis were conducted to assess the predictive capability of the serum magnesium for AKI detection. Finally, the prediction model for AKI was established and internally validated. Of the 396 enrolled patients, AKI occurred in 315 (79.5%) patients, including 154 (38.8%) patients with severe AKI. Serum magnesium levels were independently related to the postoperative AKI and severe AKI (both, P < 0.001), and AUC-ROCs for predicting AKI and severe AKI were 0.707 and 0.695, respectively. Across increasing quartiles of serum magnesium, the multivariable-adjusted odds ratios (95% confidence intervals) of postoperative AKI were 1.00 (reference), 1.04 (0.50-2.82), 1.20 (0.56-2.56), and 6.19 (2.02-23.91) (P for Trend < 0.001). When serum magnesium was included to a baseline model with established risk factors, AUC-ROC (0.833 vs 0.808, P = 0.050), reclassification (P < 0.001), and discrimination (P = 0.002) were further improved. Serum magnesium levels on admission are an independent predictor of AKI. In TAAR patients, elevated serum magnesium levels were linked to an increased risk of AKI. In addition, the established risk factor model for AKI can be considerably improved by the addition of serum magnesium in TAAR patients hospitalized in the CSICU.

On the Generalizability of Machine Learning Classification Algorithms and Their Application to the Framingham Heart Study

The use of machine learning algorithms in healthcare can amplify social injustices and health inequities. While the exacerbation of biases can occur and be compounded during problem selection, data collection, and outcome definition, this research pertains to the generalizability impediments that occur during the development and post-deployment of machine learning classification algorithms. Using the Framingham coronary heart disease data as a case study, we show how to effectively select a probability cutoff to convert a regression model for a dichotomous variable into a classifier. We then compare the sampling distribution of the predictive performance of eight machine learning classification algorithms under four stratified training/testing scenarios to test their generalizability and their potential to perpetuate biases. We show that both extreme gradient boosting and support vector machine are flawed when trained on an unbalanced dataset. We then show that the double discriminant scoring of type 1 and 2 is the most generalizable with respect to the true positive and negative rates, respectively, as it consistently outperforms the other classification algorithms, regardless of the training/testing scenario. Finally, we introduce a methodology to extract an optimal variable hierarchy for a classification algorithm and illustrate it on the overall, male and female Framingham coronary heart disease data.

Combined effects of blood pressure and glucose status on the risk of chronic kidney disease

This study aimed to assess the combined effects of blood pressure (BP) and glucose status on chronic kidney disease (CKD) incidence in young and middle-aged adults. We examined data from 1,297,341 Japanese individuals aged <60 years (60.1% men; mean age 41.4 ± 9.3 years) with no history of CKD at baseline. The interval-censored Cox proportional hazards model with covariates was used. During a median follow-up period of 2.1 years, new onset CKD (estimated glomerular filtration rate <60 ml/min/1.73 m2 and/or proteinuria) occurred in 80,187 participants. In participants without antihypertensive treatment (AHT), the adjusted hazard ratios (95% confidence interval) per 1-standard deviation, that is, 15 mmHg increase in systolic BP for CKD incidence, were 1.08 (1.07–1.09), 1.12 (1.10–1.13), and 1.15 (1.12–1.18) in normoglycemia, borderline glycemia, and diabetes groups, respectively. These ratios were significantly higher in the borderline glycemia and diabetes groups compared with those in the normoglycemia group (interaction p < 0.0001). The interaction between BP and borderline glycemia was evident when the outcome definition was restricted to proteinuria. In participants under AHT, systolic BP was most strongly associated with CKD risk in the diabetes group, although no significant interaction was observed. High BP and high glucose status may synergistically increase the incidence of CKD. Strict BP management may play an important role in the early prevention of CKD in individuals with worse glucose status within the young and middle-aged population.This large-scale longitudinal cohort study showed high BP and diabetes synergistically increased the risk of CKD in individuals without AHT. Strict BP management may play an important role in the early prevention of CKD in individuals with worse glucose status within the young and middle-aged population.