Publications by authors named "Balian J"

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  • The study examines the timing of venous thromboembolism chemoprophylaxis (VTEPPx) in traumatic brain injury (TBI) patients and finds notable variation in practices across hospitals.
  • Approximately 38.7% of patients were treated at centers with early VTEPPx, and those centers also showed better outcomes in terms of mortality rates.
  • The research highlights that hospital characteristics, such as overall and TBI volume, influence the timing of VTEPPx and that earlier administration is linked to improved patient survival.
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  • Aortic dissection, particularly Type B, is a common emergency in the U.S., and the study explored trends in treatment methods like thoracic endovascular repair (TEVAR) between 2010 and 2020.
  • Out of over 85,000 patients studied, fewer received TEVAR initially (decreasing from 11.3% to 9.6%), while more opted for it during later hospital visits (increasing from 13.0% to 21.6%).
  • The findings indicated that patients receiving early TEVAR had lower mortality rates but incurred higher hospital costs, while delayed TEVAR patients experienced fewer major complications without a significant increase in 90-day costs.
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  • A new comorbidity score called the Comorbid Operative Risk Evaluation (CORE) was developed specifically for surgical research to enhance mortality predictions compared to existing indices from previous decades.
  • The study analyzed data from 699,155 surgical patients and used several machine learning algorithms to identify significant chronic disease factors, validating the CORE score with multiple datasets.
  • Results showed the CORE score significantly outperformed both the Elixhauser and Charlson comorbidity indices in predicting in-hospital mortality across various healthcare databases.
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Introduction: Frailty, a measure of physiological aging and reserve, has been validated as a prognostic indicator of mortality in patients with cirrhosis. However, large-scale analyses of the independent association of frailty with clinical and financial outcomes following liver transplantation (LT) are lacking.

Methods: Adults (≥18 years) undergoing LT were identified in the 2016-2020 National Readmissions Database.

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Background: Failure to rescue (FTR) is increasingly recognized as a quality metric but remains understudied in emergency general surgery (EGS). We sought to identify patient and operative factors associated with FTR to better inform standardized metrics to mitigate this potentially preventable event.

Methods: All adult (≥18 years) non-elective hospitalizations for large bowel resection, small bowel resection, repair of perforated ulcer, laparotomy and lysis of adhesions were identified in the 2016-2020 National Readmissions Database.

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Background: The optimal timing of noncardiac surgery (NCS) following transcatheter aortic valve replacement (TAVR) for aortic stenosis has not been elucidated by current national guidelines.

Objectives: The aim of this study was to evaluate the effect of the time interval between TAVR and NCS (Δt) on the perioperative risk of major adverse events (MAEs).

Methods: All adult admissions for isolated TAVR for aortic stenosis were identified in the 2016 to 2020 Nationwide Readmissions Database.

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Introduction: Literature regarding the impact of esophagectomy approach on hospitalizations costs and short-term outcomes is limited. Moreover, few have examined how institutional MIS experience affects costs. We thus examined utilization trends, costs, and short-term outcomes of open and minimally invasive (MIS) esophagectomy as well as assessing the relationship between institutional MIS volume and hospitalization costs.

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  • The study examines fat embolism as a serious complication in trauma patients undergoing major surgeries, using data from the National Inpatient Sample between 2005 and 2020.
  • Out of over 10.6 million hospitalizations, only 7,479 patients (0.07%) were diagnosed with fat embolism, who were generally younger and more likely to be treated at high-volume trauma centers compared to those without this condition.
  • The findings indicated that fat embolism significantly increased mortality rates, complications, hospitalization costs, and length of stay, highlighting the need for better early detection and management strategies in trauma settings.
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  • Alcohol withdrawal syndrome (AWS) complicates postoperative management in trauma patients, making it difficult to screen for, especially since their condition often requires urgent attention.
  • A study of nearly 3 million trauma hospitalizations revealed that 1.23% developed AWS, significantly increasing risks for in-hospital mortality and various complications such as infectious, cardiac, and respiratory issues.
  • Male patients, those on Medicaid, and individuals with head injuries or thoracic surgeries were more likely to develop AWS, highlighting the need for better screening methods to improve care and outcomes in trauma settings.
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Background: Recent studies have demonstrated a positive volume-outcome relationship in emergency general surgery. Some have advocated for the sub-specialization of emergency general surgery independent from trauma. We hypothesized inferior clinical outcomes of emergency general surgery with increasing center-level operative trauma volume, potentially attributable to overall hospital quality.

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Introduction: Immediate breast reconstruction (IBR) following mastectomy has been shown to improve quality of life and partially mitigate the adverse psychological impacts associated with the procedure. The present study examined hospital-based and patient-level disparities in utilization and outcomes of IBR following mastectomy.

Methods: All female adult hospitalizations with a diagnosis of breast cancer undergoing mastectomy were identified in the 2016 to 2020 National Inpatient Sample.

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Background: Despite increasing utilization and survival benefit over the last decade, extracorporeal membrane oxygenation (ECMO) remains resource-intensive with significant complications and rehospitalization risk. We thus utilized machine learning (ML) to develop prediction models for 90-day nonelective readmission following ECMO.

Methods: All adult patients receiving ECMO who survived index hospitalization were tabulated from the 2016-2020 Nationwide Readmissions Database.

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Background: Extracorporeal membrane oxygenation (ECMO) has emerged as a life-sustaining measure for individuals with end-stage cardiopulmonary derangements. An estimated one-third of patients must be transferred to a specialized center to receive this intervention. Therefore, the present study sought to characterize the impact of interhospital transfer (IHT) status on outcomes following ECMO.

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Background: Patients undergoing emergency general surgery (EGS) often require complex management and transfer to higher acuity facilities, especially given increasing national efforts aimed at centralizing care. We sought to characterize factors and evaluate outcomes associated with interhospital transfer using a contemporary national cohort.

Methods: All adult hospitalizations for EGS (appendectomy, cholecystectomy, laparotomy, lysis of adhesions, small/large bowel resection, and perforated ulcer repair) ≤2 days of admission were identified in the 2016-2020 National Inpatient Sample.

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  • The study aimed to create a new machine learning model to predict clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy (PD), improving on previous models with poor performance.
  • Researchers used data from the American College of Surgeons National Surgical Quality Improvement Program and local records to develop an XGBoost model, assessing its accuracy with various statistical measures.
  • The findings showed that the new XGBoost model significantly outperformed the existing modified Fistula Risk Score (mFRS) in predicting CR-POPF, indicating its effectiveness and potential for better clinical decision-making.
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Medical safety-related risk management is a rapidly evolving and increasingly important aspect of drug approval and market longevity. To effectively meet the challenges of this new era, we describe a risk management roadmap that proactively yet practically anticipates risk-management requirements, provides the foundation for enduring yet appropriately flexible risk-management practices, and leverages these techniques to efficiently and effectively utilize risk evaluation and mitigation strategies (REMS)/risk minimization programs as market access enablers. This fully integrated risk-management paradigm creates exciting opportunities for newer tools, techniques, and approaches to more successfully optimize product development, approval, and commercialization, with patients as the ultimate beneficiaries.

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Ninety-eight new molecular entities applications approved between 1987 to 1991 (period I) and 193 applications for new molecular entities between 1992 to 1997 (period II) were surveyed for drug-drug interaction studies. In period I (used as a comparator), 32 applications contained drug-drug interaction studies for a total of 117 studies. In period II, 106 applications reported drug-drug interaction studies, and the number of studies per new molecular entity ranged from 0 to 15.

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This review was conducted to identify the current data on drug interactions with alprazolam, midazolam, and triazolam to guide practitioners in the use of these drugs. The Medline electronic database from 1966 through 1998 was used to identify clinical studies of the pharmacokinetic effect of drugs on these three benzodiazepines. Of a total of 491 literature reports identified, 59 prospective studies met our selection criteria.

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A total of 194 new molecular entities approved by the Food and Drug Administration between 1992 and 1997 were surveyed to determine the role of in vitro metabolic interactions in the conduct of drug-drug interaction studies and to examine the methods used in these studies. Approximately 30% of the submissions were found to have in vitro metabolism-based interaction studies, most of which were inhibitory in nature. Chemical inhibition was the most commonly used approach in studying drug interactions in vitro.

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Extrapolation of animal data to assess pharmacokinetic parameters in humans is an important tool in drug development. Allometric scaling has many proponents, and many different approaches and techniques have been proposed to optimise the prediction of pharmacokinetic parameters from animals to humans. The allometric approach is based on the power function Y = aWb, where the bodyweight of the species is plotted against the pharmacokinetic parameter of interest on a log-log scale.

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1. The interspecies scaling approach to predict clearance in humans from animal data was tested for a wide variety of drugs. 2.

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Background: Our objective was to study omeprazole as a single-dose oral probe in the determination of CYP2C19 phenotype in black subjects and to determine the correlation between phenotype and genotype.

Methods: This single-dose, open-label outpatient study was conducted at a community-based, university-affiliated teaching hospital outpatient clinic. Study subjects were 100 healthy, unrelated black adults (age range, 18 to 50 years) who were receiving no medications.

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The objective of this study was to test the interspecies-scaling approach in a series of antiepileptic drugs. Clearance, volume of distribution, and elimination half-life were scaled up from animal data obtained from literature. Four different methods were utilized to generate plots to scale up the clearance values: (i) clearance vs body weight (simple allometric equation); (ii) the product of clearance and maximum life-span potential (MLP) vs body weight (an approach recommended in literature); (iii) the two-term power equation which incorporates both body weight and brain weight suggested by Boxenbaum; and (iv) the product of clearance and brain weight vs body weight (a new approach being introduced in this study).

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The prediction of pharmacokinetic parameters in humans from data obtained in lower animals can be of considerable importance in the process of drug development. Successful extrapolation will facilitate drug dosing transitions from animals to man and accelerate the drug testing process. Existing literature indicates that for the prediction of pharmacokinetic parameters, data from at least three animal species are used.

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