Medicine and Health Sciences Commons^™

Comparison Of Mortality Between Intravenous Albumin And No Intravenous Albumin In Sepsis Patients With Hypoalbuminemia Conditions And Factors That Influence The Mortality Of Sepsis Patients, Mochammad Jalalul Marzuki, Supriono Supriono, Bogi Pratomo, Syifa Mustika

Jurnal Penyakit Dalam Indonesia

Introduction. Hypoalbuminemia is a strong predictor of mortality in nonoperative and operative patients. Albumin plays a role in maintaining oncotic pressure in critical conditions such as sepsis. The administration of exogenous Human Serum Albumin (HSA) in sepsis with hypoalbuminemia conditions is still controversial with varying outcomes.This study aimed to know the mortality ratio between intravenous albumin administration and no intravenous albumin administration in sepsis patients with hypoalbuminemia conditions and also to know the factors that influence the mortality of sepsis patients. Methods. An observational study with a prospective approach involving 75 research subjects aged >18 years with sepsis accompanied by …

Editorial: Sudden Unexpected Death In Epilepsy: Bio-Markers, Mechanisms, Risk Identification And Prevention., Rainer Surges, Michael R. Sperling, Christopher M. Degiorgio

Department of Neurology Faculty Papers

No abstract provided.

Emergent Airway Management Outside Of The Operating Room - A Retrospective Review Of Patient Characteristics, Complications And Icu Stay., Uzung Yoon, Jeffrey Mojica, Matthew Wiltshire, Kara Segna, Michael Block, Anthony Pantoja, Marc Torjman, Elizabeth Wolo

Department of Anesthesiology Faculty Papers

BACKGROUND: Emergent airway management outside of the operating room is a high-risk procedure. Limited data exists about the indication and physiologic state of the patient at the time of intubation, the location in which it occurs, or patient outcomes afterward.

METHODS: We retrospectively collected data on all emergent airway management interventions performed outside of the operating room over a 6-month period. Documentation included intubation performance, and intubation related complications and mortality. Additional information including demographics, ASA-classification, comorbidities, hospital-stay, ICU-stay, and 30-day in-hospital mortality was obtained.

RESULTS: 336 intubations were performed in 275 patients during the six-month period. The majority of …

Surviving Sepsis: A Treatment Process Improvement In High Volume Emergency Departments, Brittney Burns

Doctor of Nursing Practice

Sepsis is the 3rd leading cause of death in the United States, accounting for approximately 270,000 deaths annually (CDC, 2017). It is the number one cause of death in hospitals, the number one cause of hospital readmissions, and the costliest diagnosis in the hospital setting (Fingar & Washington, 2015; Torio & Andrews, 2015). This quality improvement project aimed to increase the percentage of antibiotics administered within 1 hour for sepsis patients. Mortality rates significantly decrease when this goal is met (Howell & Davis, 2017). There is an 8% increase in mortality risks with every hour that passes with elevated lactic …

Women And Children Living In Areas Of Armed Conflict In Africa: A Geospatial Analysis Of Mortality And Orphanhood, Zachary Wagner, Sam Heft-Neal, Paul H. Wise, Robert E. Black, Marshall Burke, Ties Boerma, Zulfiqar Ahmed Bhutta, Eran Bendavid

Department of Paediatrics and Child Health

Background:
The population effects of armed conflict on non-combatant vulnerable populations are incompletely understood. We aimed to study the effects of conflict on mortality among women of childbearing age (15–49 years) and on orphanhood among children younger than 15 years in Africa.
Methods:
We tested the extent to which mortality among women aged 15–49 years, and orphanhood among children younger than 15 years, increased in response to nearby armed conflict in Africa. Data on location, timing, and intensity of armed conflicts were obtained from the Uppsala Conflict Data Program, and data on the location, timing, and outcomes of women and …

Does Perioperative Use Of Renin-Angiotensin System Inhibitors Improve Patient Outcomes In Cardiac Surgery?, Qian Ding, Mark Berguson, Zugui Zhang, Hong Liu, Huang Nie, Jordan E. Goldhammer, Rohinton J. Morris, Jianzhong Sun

Department of Anesthesiology Posters

• 2011 ACCF/AHA Guidelines for CABG: Uncertain about the safety of the preoperative administration of ACE inhibitors or ARBs in patients on chronic therapy and the safety of initiating ACE inhibitors or ARBs before hospital discharge
• 2014 ESC Guidelines: ACE inhibitors might be stopped 1 to 2 days before CABG to avoid the potential deleterious consequences of perioperative hypotension
• Guidelines state that ACE inhibitors or ARBs should be initiated postoperatively in CABG patients who were not receiving them preoperatively if they have an LVEF ≤40%, hypertension, diabetes, or CKD (Level of Evidence: A)
• There is still a lack of large clinical …

Enhancing Timeliness Of Drug Overdose Mortality Surveillance: A Machine Learning Approach, Patrick J. Ward, Peter J. Rock, Svetla Slavova, April M. Young, Terry L. Bunn, Ramakanth Kavuluru

Kentucky Injury Prevention and Research Center Faculty Publications

BACKGROUND: Timely data is key to effective public health responses to epidemics. Drug overdose deaths are identified in surveillance systems through ICD-10 codes present on death certificates. ICD-10 coding takes time, but free-text information is available on death certificates prior to ICD-10 coding. The objective of this study was to develop a machine learning method to classify free-text death certificates as drug overdoses to provide faster drug overdose mortality surveillance.

METHODS: Using 2017–2018 Kentucky death certificate data, free-text fields were tokenized and features were created from these tokens using natural language processing (NLP). Word, bigram, and trigram features were created …

Infections In Patients With Multiple Myeloma Treated With Conventional Chemotherapy: A Single-Center, 10-Year Experience In Pakistan, Mohammad Faizan Zahid, Natasha Ali, Myra Nasir, Maria Haider Baig, Mustafa Iftikhar, Syed Usman Bin Mahmood, Arhama Malik, Sara Atif, Mohammad Asim Beg

Department of Pathology and Laboratory Medicine

Introduction: Multiple myeloma (MM) is a common hematologic malignancy with variable degrees of immunodeficiency. Disease- and treatment-related compromise of the immune system predisposes patients to infections, which are a major cause of morbidity and mortality.
Objective: We aimed to establish the incidence and main characteristics of infections in MM patients treated at our center over a 10-year period.
Method and results: Of the 412 patients retrospectively analyzed, 154 (37.4%) were documented to have at least one episode of infection and were included in this study. A total of 244 infectious episodes were documented. The most common site of infection was …

Risk Factors For Mortality Of Patients With Ceftriaxone Resistant E. Coli Bacteremia Receiving Carbapenem Versus Beta Lactam/Beta Lactamase Inhibitor Therapy, Nosheen Nasir, Sara Ahmed, , Samrah Razi, Safia Awan, Syed Faisal Mahmood

Section of Internal Medicine

Objective: Extended spectrum β-lactamases (ESBL) producing Enterobacteriaceae predominantly E. coli and K. pneumoniae bacteremia have limited treatment options and high mortality. The objective was to determine the risk factors for in-hospital mortality particularly treatment with carbapenem versus beta lactam/beta lactamase combination (BL/BLI) in patients with ceftriaxone resistant E. coli bacteremia. A retrospective cohort study was conducted at the Aga Khan University, Karachi, Pakistan. Adult patients with sepsis and monomicrobial ceftriaxone resistant E. coli bacteremia were enrolled. Factors associated with mortality in patients were determined using logistic regression analysis.

Results: Mortality rate was 37% in those empirically treated with carbapenem …

Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone

Mary Hook

Background: A real-time electronic health record (EHR) predictive model that identifies older patients at risk for readmission and mortality may assist the health care team in improved patient care.

Purpose: This study was performed to generate an automated 30-day readmission and 30-day mortality risk model using data from the EHR in hospitalized older adults.

Methods: This was a retrospective cohort study. Included were patients age 65 years and older admitted to the hospital from July 2012 to December 2013. An automated predictive model was derived from variables collected from the EHR including socioeconomic factors, medical diagnoses and health care utilization. …

Acinetobacter Infections: A Retrospective Study To Determine In Hospital Mortality Rate And Clinical Factors Associated With Mortality, Rajiv Patel, Jasmit Shah, Gunturu Revathi, Wangari Siika, Reena Shah

Internal Medicine, East Africa

A retrospective case series of acinetobacter infections at a tertiary hospital in Nairobi was conducted to determine the mortality rate and factors associated with mortality. Over an eight-year period, 80 clinically significant infections were identified. The majority of infections were ventilator-associated pneumonia (40%) and bloodstream infections (30%). Eighty-six percent of the isolates were multi-drug resistant. The mortality rate in the study cohort was 45%. Twelve patients grew Acinetobacter spp. within 48 h of hospitalization, and three of these patients had no prior healthcare contact. The mean Sequential Organ Failure Assessment score was associated with mortality from acinetobacter infections.

Childhood Acute Illness And Nutrition (Chain) Network: A Protocol For A Multi-Site Prospective Cohort Study To Identify Modifiable Risk Factors For Mortality Among Acutely Ill Children In Africa And Asia, Childhood Acute Illness And Nutrition Network, J A. Berkley, J L. Walson, A H. Diallo, Asmsb Shahid, A Gwela, Ali Faisal Saleem Dr, Syed Asad Ali, C C. Tigoi, C Bourdon

Department of Paediatrics and Child Health

Introduction: Children admitted to hospitals in resource-poor settings remain at risk of both inpatient and post-discharge mortality. While known risk factors such as young age and nutritional status can identify children at risk, they do not provide clear mechanistic targets for intervention. The Childhood Acute Illness and Nutrition (CHAIN) cohort study aims to characterise the biomedical and social risk factors for mortality in acutely ill children in hospitals and after discharge to identify targeted interventions to reduce mortality.
Methods and analysis: The CHAIN network is currently undertaking a multi-site, prospective, observational cohort study, enrolling children aged 1 week to 2 …

Clinical Spectrum And Factors Impacting Outcome Of Candida Auris: A Single Center Study From Pakistan, Muneeba Ahsan Sayeed, Joveria Farooqi, Kauser Jabeen, Safia Awan, S Mahmood

Section of Internal Medicine

Background: An outbreak of Candida auris began globally in 2014 including Pakistan and since then it has emerged as a nosocomial multi-drug resistant pathogen. The aim of this study was to assess the clinical spectrum and outcome of patients, from a single center in Pakistan, in whom C. auris was isolated.

Methods: A retrospective study was conducted on 92 patients; ≥16 years with at least one culture positive for C. auris, at the Aga Khan University Hospital Karachi, Pakistan from Sept 2014-Mar 2017.Demographics, clinical history, management and outcome were studied. A logistic regression model was used to identify the risk …

Influence Of Abnormal Potassium Levels On Mortality Among Hospitalized Heart Failure Patients In The Us: Data From National Inpatient Sample., Sijan Basnet, Rashmi Dhital, Biswaraj Tharu, Sushil Ghimire, Dilli Ram Poudel, Anthony Donato

Reading Hospital Internal Medicine Residency

Abnormalities in serum potassium levels have been associated with variable mortality risk among hospitalized patients with heart failure (HF). We aim to use a large database study to further characterize risk of mortality, demographic factors, and associated comorbidities among heart failure inpatients. Methods: Our sample population was from the US National Inpatient Sample database from the year 2009-2011. The inclusion criteria used to identify patients was those with a diagnosis of heart failure as per ICD-9 classification. Other demographic factors considered in data collection included income, and cardiac risk factors. Taking these factors into consideration, a univariate association of …

The Vitamin C, Thiamine And Steroids In Sepsis (Victas) Protocol: A Prospective, Multi-Center, Double-Blind, Adaptive Sample Size, Randomized, Placebo-Controlled, Clinical Trial., David N. Hager, Michael H. Hooper, Gordon R. Bernard, Laurence W. Busse, E. Wesley Ely, Alpha A. Fowler, David F. Gaieski, Alex Hall, Jeremiah S. Hinson, James C. Jackson, Gabor D. Kelen, Mark Levine, Christopher J. Lindsell, Richard E. Malone, Anna Mcglothlin, Richard E. Rothman, Kert Viele, David W. Wright, Jonathan E. Sevransky, Greg S. Martin

Department of Emergency Medicine Faculty Papers

BACKGROUND: Sepsis accounts for 30% to 50% of all in-hospital deaths in the United States. Other than antibiotics and source control, management strategies are largely supportive with fluid resuscitation and respiratory, renal, and circulatory support. Intravenous vitamin C in conjunction with thiamine and hydrocortisone has recently been suggested to improve outcomes in patients with sepsis in a single-center before-and-after study. However, before this therapeutic strategy is adopted, a rigorous assessment of its efficacy is needed.

METHODS: The Vitamin C, Thiamine and Steroids in Sepsis (VICTAS) trial is a prospective, multi-center, double-blind, adaptive sample size, randomized, placebo-controlled trial. It will enroll …

Outcomes Of Transcutaneous Aortic Valve Replacement Among High Risk Wv Sample Population., George M. Yousef, Julia Poe, Cameron Killmer, Basel Edris, Jason Mader, Ellen A. Thompson, Daniel Snavely, Silvestre Cansino, Joseph I. Shapiro, Mark A. Studeny

Joseph I Shapiro MD

Introduction:Transcatheter aortic valve replacement (TAVR) is a relatively new strategy for replacing the aortic valve. We elected to review our early experience to see if we could identify clinical characteristics at baseline or immediately following the procedure that would predict death within one year.

Methods:Charts for all patients assigned to receive TAVR procedure at St Mary’s medical center, Huntington, West Virginia between April, 2013 till November, 2016 were identified and reviewed. A total of seventy-two (72) cases were included.

Results: All cause mortality rate at index hospitalization, 30 days, and 12 months was 5.6%(N=4), 6.9%(N=5), 19.4%(N=14) respectively. Stroke …

Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro

Joseph I Shapiro MD

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.

Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro

Joseph I Shapiro MD

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.

Effect Of Conditioning Regimen Dose Reduction In Obese Patients Undergoing Autologous Hematopoietic Cell Transplantation., Claudio G. Brunstein, Marcelo C. Pasquini, Soyoung Kim, Mingwei Fei, Kehinde Adekola, Ibrahim A. Ahmed, Mahmoud Aljurf, Vaibhav Agrawal, Jeffrey J. Auletta, Minoo Battiwalla, Nelli Bejanyan, Joseph Bubalo, Jan Cerny, Lynette Chee, Stefan O. Ciurea, Cesar Freytes, Shahinaz M. Gadalla, Robert Peter Gale, Siddhartha Ganguly, Shahrukh K. Hashmi, Peiman Hematti, Gerhard Hildebrandt, Leona A. Holmberg, Oscar B. Lahoud, Heather Landau, Hillard M. Lazarus, Marcos De Lima, Vikram Mathews, Richard Maziarz, Taiga Nishihori, Maxim Norkin, Richard Olsson, Ran Reshef, Seth Rotz, Bipin Savani, Harry C. Schouten, Sachiko Seo, Baldeep M. Wirk, Jean Yared, Shin Mineishi, John Rogosheske, Miguel-Angel Perales

Manuscripts, Articles, Book Chapters and Other Papers

Data are limited on whether to adjust high-dose chemotherapy before autologous hematopoietic cell transplant (autoHCT) in obese patients. This study explores the effects of dose adjustment on the outcomes of obese patients, defined as body mass index (BMI) ≥ 30 kg/m2. Dose adjustment was defined as a reduction in standard dosing ≥20%, based on ideal, reported dosing and actual weights. We included 2 groups of US patients who had received autoHCT between 2008 and 2014. Specifically, we included patients with multiple myeloma (MM, n = 1696) treated with high-dose melphalan and patients with Hodgkin or non-Hodgkin lymphomas (n = 781) …

Predicting Adverse Outcomes In End Stage Renal Disease: Machine Learning Applied To The United States Renal Data System, Zeid Khitan, Alexis D. Jacob, Courtney Balentine, Adam N. Jacob, Juan R. Sanabria, Joseph I. Shapiro

Juan R. Sanabria

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.

Racial Disparities In Head And Neck Cancers In An Urban Hospital, Jessica Kraus-Lavy, Charnita Zeigler-Johnson, Scott W Keith, Frances Guiles, David Cognetti, Voichita Bar-Ad, Rita S. Axelrod, Md

Phase 1

Introduction: Head and neck cancer incidence rates are higher for white residents in Philadelphia, while related mortality rates are highest for black residents. It is unclear how risk factors like HPV and smoking contribute to these disparities. The goal of this study is to determine which factors are associated with head and neck cancers in a diverse patient population from a Philadelphia hospital.

Methods: Cancer registry data from Thomas Jefferson University was used to obtain records from 922 head and neck cancer patients. One patient of other race was excluded. Twenty in-situ cancer cases were excluded. Chi-square tests were used …

Severity Of Disease And Mortality For Hospitalized Patients With Community-Acquired Viral Pneumonia Compared To Patients With Community-Acquired Bacterial Pneumonia, Richard Y. Kim, Thomas Chandler, Stephen P. Furmanek, Timothy Lee Wiemken, Rodrigo Cavallazzi

The University of Louisville Journal of Respiratory Infections

Background: There exists a large body of literature to help identify, diagnose, treat, and manage community-acquired pneumonia (CAP). Despite this, there is little data that directly compares the clinical syndromes and complications of pure bacterial pneumonia to pure viral pneumonia. Our study compares the clinical presentation, morbidity and mortality of viral vs. bacterial etiologies of CAP.

Methods: This was a secondary data analysis of the Community-Acquired Pneumonia Organization (CAPO) international study database. Data was collected concerning patient demographics, physical examination findings, laboratory findings, radiological findings, severity of illness, and clinical outcomes and stratified according to the two study groups, CAVP …

Does Concomitant Cabg Influence The Outcomes Of Post-Myocardial Infarction Ventricular Septal Defect Repair?, Dylan P. Horan, Jae Hwan Choi, Matthew P. Weber, Elizabeth Maynes, Sinal Patel, Jothika Challapalli, Jessica G.Y. Luc, John W. Entwistle, H. Todd Massey, Rohinton J. Morris, Vakhtang Tchantchaleishvili

Phase 1

Introduction: Ventricular septal defect (VSD) following myocardial infarction (MI) is a relatively infrequent complication with high mortality. Over time, understanding of the pathology and its management has resulted in improved outcomes; however, controversies remain.

Objective: We sought to investigate the effect of concomitant coronary artery bypass graft (CABG) on outcomes following post-MI VSD repair.

Methods: Electronic search was performed to identify all relevant studies published from 2000 to 2018. After assessment for inclusion and exclusion criteria, 66 studies were selected for the analysis. Data were extracted and pooled for systematic review and meta-analysis.

Results: Average age was 68.7 years …

Bova Is Superior To Spesi In Identification Of High Risk Pulmonary Embolism Patients, J. Dibello, P. Khaing, E. Gupta, C. Au, T. Chengsupanimit, B. K. Awsare, M. Baram, F. M. West, G. C. Kane

Phase 1

Introduction: Prognostic models exist for the purpose of stratifying patients with acute pulmonary embolism. Of these, the Pulmonary Embolism Severity Index (PESI) and the simplified PESI (sPESI) are the most well-known, although more recent composite models, like the BOVA score, are now being studied and implemented. Comparative efficacy of these scores to predict long term mortality is not well established.

Methods: We performed a retrospective analysis of all consecutive patients diagnosed with PE using computed tomography scan from 2014-2016 at an urban tertiary-referral medical center. Cox proportional hazard analyses were performed to compare the performance of two prognostic …

The Risk Of New-Onset Epilepsy And Refractory Epilepsy In Older Adult Stroke Survivors, Jorge G. Burneo, Tresah C. Antaya, Britney N. Allen, Andrea Belisle, Salimah Z. Shariff, Gustavo Saposnik

Neuroepidemiology Research Unit Project Summaries

Research Summary: Key Findings

• Stroke is a common cause of epilepsy in older adults, but little is known about stroke-related epilepsy or its outcomes in this population.
• 1.1% of older adult stroke survivors developed epilepsy in this study, of whom 12.9% developed refractory epilepsy, indicating that this population is particularly responsive to treatment.
• Over 85% of deaths in this population are not due to stroke or epilepsy.

Assessing Nutritional Status Of Critically Ill Patients Using Serum Prealbumin Levels, Khushbakht Arbab, Hafsa Majid, Lena Jafri, Aysha Habib, Ahmed Raheem, Bushra Jamil, Bushra Akram, Madiha Hashmi

Department of Pathology and Laboratory Medicine

Background: Malnutrition in hospitalized patients, contributes to poor outcomes. Biomarker serum prealbumin, can prevent the complications by commencement of nutritional support to improve clinical outcomes. This study was designed to assess the association between low serum prealbumin level (<18 mg/dl), with length of stay and all cause intensive care unit mortality.
Methods: This cross-sectional study was conducted from July 2016 to July 2017 at Aga Khan University Hospital Karachi Pakistan. All consecutive patients, aged between 18 to 70 years, admitted in medical or surgical intensive care unit were included. Demographic, clinical history and blood samples for analysing serum prealbumin were obtained on first day of admission. Patients were categorized into two groups …