18 results on '"Sherri Kubis"'
Search Results
2. The Impact of a Pediatric Continuity Care Intensivist Program on Patient and Parent Outcomes: An Unblinded Randomized Controlled Trial
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Jennifer K. Walter, Vanessa Madrigal, Parth Shah, Sherri Kubis, Adam S. Himebauch, and Chris Feudtner
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Pediatrics, Perinatology and Child Health ,Critical Care and Intensive Care Medicine - Abstract
Objectives We studied the impact of a standardized continuity care intensivists (CCIs) program on patient and family outcomes for long-stay patients in the pediatric intensive care unit (PICU), also assessing the intervention's acceptability and feasibility. Methods A patient-level, unblinded randomized-controlled trial in a PICU at a large children's hospital. Participants included: (1) patients with ≥ 7 days PICU admission and likely to stay another 7 days; (2) their parents; (3) PICU attendings participating as continuity attendings; and (4) PICU attendings providing usual care (UC). We examined a bundled intervention: (1) standardized continuity attending role, (2) communication training course for CCI, and (3) standardized timing of contact between CCI and patient/family. Results Primary outcome was patient PICU length of stay. Secondary outcomes included patient, parental, and clinician outcomes. We enrolled 115 parent-patient dyads (231 subjects), 58 patients were randomized into treatment arm and 56 into the UC arm. Thirteen attendings volunteered to serve as CCI, 10 as UC. No association was found between the intervention and patient PICU length of stay (p = 0.5), other clinical factors, or parental outcomes. The intervention met a threshold for feasibility of enrollment, retention, and implementation while the majority of providers agreed the intervention was acceptable with more efficient decision making. Thirty percent CCIs felt the role took too much time, and 20% felt time was not worth the benefits. Conclusion CCI intervention did not impact patient or family outcomes. PICU attendings believed that the implementation of the CCI program was feasible and acceptable with potential benefits for efficiency of decision making.
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- 2021
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3. Growth and Changing Characteristics of Pediatric Intensive Care 2001–2016
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Sarita Chung, John F. Griffin, Marcy N. Singleton, Michael L. Forbes, Jeffrey P. Burns, Barry P. Markovitz, Simon Li, Sherri Kubis, Judy T. Verger, Ann-Marie Brown, Sholeen Nett, Robin Horak, LeeAnn M. Christie, and Adrienne G. Randolph
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medicine.medical_specialty ,Adolescent ,Critical Care ,Injury control ,Accident prevention ,Poison control ,Intensivist ,Intensive Care Units, Pediatric ,Critical Care and Intensive Care Medicine ,03 medical and health sciences ,0302 clinical medicine ,Interquartile range ,Intensive care ,Humans ,Medicine ,Child ,Health Care Rationing ,business.industry ,030208 emergency & critical care medicine ,Length of Stay ,United States ,030228 respiratory system ,Hospital Bed Capacity ,Emergency medicine ,Female ,business ,Pediatric population - Abstract
OBJECTIVES We assessed the growth, distribution, and characteristics of pediatric intensive care in 2016. DESIGN Hospitals with PICUs were identified from prior surveys, databases, online searching, and clinician networking. A structured web-based survey was distributed in 2016 and compared with responses in a 2001 survey. SETTING PICUs were defined as a separate unit, specifically for the treatment of children with life-threatening conditions. PICU hospitals contained greater than or equal to 1 PICU. SUBJECTS Physician medical directors and nurse managers. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS PICU beds per pediatric population (< 18 yr), PICU bed distribution by state and region, and PICU characteristics and their relationship with PICU beds were measured. Between 2001 and 2016, the U.S. pediatric population grew 1.9% to greater than 73.6 million children, and PICU hospitals decreased 0.9% from 347 to 344 (58 closed, 55 opened). In contrast, PICU bed numbers increased 43% (4,135 to 5,908 beds); the median PICU beds per PICU hospital rose from 9 to 12 (interquartile range 8, 20 beds). PICU hospitals with greater than or equal to 15 beds in 2001 had significant bed growth by 2016, whereas PICU hospitals with less than 15 beds experienced little average growth. In 2016, there were eight PICU beds per 100,000 U.S. children (5.7 in 2001), with U.S. census region differences in bed availability (6.8 to 8.8 beds/100,000 children). Sixty-three PICU hospitals (18%) accounted for 47% of PICU beds. Specialized PICUs were available in 59 hospitals (17.2%), 48 were cardiac (129% growth). Academic affiliation, extracorporeal membrane oxygenation availability, and 24-hour in-hospital intensivist staffing increased with PICU beds per hospital. CONCLUSIONS U.S. PICU bed growth exceeded pediatric population growth over 15 years with a relatively small percentage of PICU hospitals containing almost half of all PICU beds. PICU bed availability is variable across U.S. states and regions, potentially influencing access to care and emergency preparedness.
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- 2019
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4. Pediatric continuity care intensivist: A randomized controlled trial
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Emily Sachs, Adam S. Himebauch, Jennifer K. Walter, Vanessa N. Madrigal, Chris Feudtner, and Sherri Kubis
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medicine.medical_specialty ,Time Factors ,Iatrogenic Disease ,Intensivist ,Intensive Care Units, Pediatric ,law.invention ,03 medical and health sciences ,Professional Role ,Tracheostomy ,0302 clinical medicine ,Randomized controlled trial ,Professional-Family Relations ,law ,Intervention (counseling) ,Humans ,Medicine ,Pharmacology (medical) ,030212 general & internal medicine ,Pediatric intensive care unit ,Physician-Patient Relations ,030505 public health ,Intention-to-treat analysis ,Critically ill ,business.industry ,Communication ,General Medicine ,Continuity of Patient Care ,Length of Stay ,Quality Improvement ,Intensive care unit ,Mood ,Patient Satisfaction ,Emergency medicine ,0305 other medical science ,business - Abstract
Introduction Long-stay critically ill patients in the Pediatric Intensive Care Unit (PICU) may be at risk for inconsistencies in treatment plan, delay in plan progression, and patient/family dissatisfaction with communication. This article describes the development and evaluation of an intervention designed to improve continuity and communication delivered by continuity PICU attendings. Methods and analysis A randomized controlled trial of an intervention in one PICU that was randomized at the patient level. Eligible patients and their parents included those admitted to the PICU for longer than one week and were anticipated to remain for an additional 7 days. The intervention, a Continuity Care Intensivist (CCI), included early assignment of a continuity attending (separate from a regularly scheduled service attending), standardization of the continuity role to ensure consistent team and family contact and facilitate timely decision making, and enhancement of CCI communication skills. The outcomes evaluated were 1) patient PICU length of stay, ventilator-dependent days, and hospital acquired infections, 2) parental mood and satisfaction with PICU communication, and 3) intensivist perception of acceptability of intervention. Intention to treat analysis will be completed using multivariable linear regression to determine the impact of the intervention on outcomes. Lessons have been learned about the appropriate enrollment criteria for patients to allow for impact of continuity attending, frequent prognostic uncertainty in determining which patients will become longer stay in the PICU, and the difficulty of achieving timely initial contact of continuity attending with patients given the CCI's other commitments.
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- 2019
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5. Implementation of a Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: the Optimizing Antibiotic Strategies in Sepsis (OASIS) II Study
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Scott L. Weiss, Jennifer H. Han, Warren B. Bilker, Fran Balamuth, Emily Schriver, Pam Tolomeo, Michael E. Russo, Ebbing Lautenbach, Jeffrey S. Gerber, Susan E. Coffin, Kevin J. Downes, Craig L K Boge, Sherri Kubis, and Julie C. Fitzgerald
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Male ,Time Factors ,Adolescent ,medicine.drug_class ,Antibiotics ,Intensive Care Units, Pediatric ,Procalcitonin ,Sepsis ,Diagnosis, Differential ,03 medical and health sciences ,Antimicrobial Stewardship ,0302 clinical medicine ,medicine ,Humans ,030212 general & internal medicine ,Child ,Pediatric intensive care unit ,business.industry ,Infant ,General Medicine ,Bacterial Infections ,Original Articles ,medicine.disease ,Confidence interval ,Systemic Inflammatory Response Syndrome ,Discontinuation ,Anti-Bacterial Agents ,Systemic inflammatory response syndrome ,Infectious Diseases ,C-Reactive Protein ,030228 respiratory system ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Linear Models ,Biomarker (medicine) ,Female ,business ,Corrigendum ,Algorithm ,Algorithms ,Biomarkers - Abstract
Background Biomarkers can facilitate safe antibiotic discontinuation in critically ill patients without bacterial infection. Methods We tested the ability of a biomarker-based algorithm to reduce excess antibiotic administration in patients with systemic inflammatory response syndrome (SIRS) without bacterial infections (uninfected) in our pediatric intensive care unit (PICU). The algorithm suggested that PICU clinicians stop antibiotics if (1) C-reactive protein Results We identified 457 eligible SIRS episodes without bacterial infection, 333 in Period 1 and 124 in Period 2. When both biomarkers were below the algorithm’s cut-points (n = 48 Period 1, n = 31 Period 2), unadjusted excess LOT was lower in Period 2 (IRR, 0.53; 95% confidence interval, 0.30–0.93). Among all 457 uninfected episodes, there were no significant differences in LOT (coefficient 0.9, P = .99) between the periods on segmented regression. Conclusions Implementation of a biomarker-based algorithm did not decrease overall antibiotic exposure among all uninfected patients in our PICU, although exposures were reduced in the subset of SIRS episodes where biomarkers were low.
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- 2018
6. Paediatric acute respiratory distress syndrome incidence and epidemiology (PARDIE): an international, observational study
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Robinder G Khemani, Lincoln Smith, Yolanda M Lopez-Fernandez, Jeni Kwok, Rica Morzov, Margaret J Klein, Nadir Yehya, Douglas Willson, Martin C J Kneyber, Jon Lillie, Analia Fernandez, Christopher J L Newth, Philippe Jouvet, Neal J Thomas, Eugenia Abaleke, Kate G Ackerman, Carlos Acuña, Michelle Adu-Darko, Jeremy T Affolter, Rachel Agbeko, Ahmed Al Amoudi, Ahmad Alahmadti, Nedaa Aldairi, Omar Alibrahim, Kiona Allen, Christine Allen, Awni Al-Subu, María Althabe, Jimena Alvear, Ayse Berna Anil, Heather Anthony, Angela Aramburo, David Arjona Villanueva, Neda Ashtari, Antonio Ávila Vera, Paul Baines, Melissa Bales, Samantha Barr, Dana Barry, Florent Baudin, John Beca, Holly Belfield, Fernando Beltramo, Laura Benken, Anoopindar Bhalla, Andrea Blom, Priscila Botta, Pierre Bourgoin, Marta Brezmes, George Briassoulis, Armelle Bridier, Joe Brierley, Sonia Brio Sanagustin, Elizabeth Broden, Warwick Butt, Kris Bysani, Cristina Camilo, Anna Camporesi, Santiago Campos-Miño, Fulya Kamit Can, Patricia Capocasa, Daniel Caro I, Christopher Carroll, Pablo Castellani, Andres E. Castillo, Yang Chen, Ranjit S. Chima, Fabrizio Chiusolo, Karina Cinquegrani, Bria Coates, Alvaro Coronado-Munoz, Ambar Cortéz, Pablo Cruces Romero, Melissa Cullimore, Natalie Cvijanovich, Mary K. Dahmer, Akash Deep, Carmel Delzoppo, Matteo Di Nardo, Franco Díaz, Sandra Dijkstra, W. Keith Dockery, Troy E. Dominguez, Mariana Dumitrascu, Oguz Dursun, Buvana Dwarakanathan, Ismail Elghuwael, Guillaume Emeriaud, Simon Erickson, Segundo Fernando Español, Jim Brian Estil, Calandra Feather, Yael Feinstein, Analía Fernández, Marcela Ferreyra, Heidi Flori, Yanina Vanesa Fortini, Peter-Marc Fortune, Mary Ellen French, Mirella Gaboli, Helen Gale, Paula García Casas, Maria García González, Richa Gautam, Rainer Gedeit, Mathieu Genuini, Shira Gertz, Martin Giampieri, Carlos Gil Escobar, John S. Giuliano Jr, Loreto Godoy Mundaca, Concepción Goni Orayen, Jose Manuel Gonzalez Gomez, Beatriz Govantes, Julie Guichoux, Gustavo Alfredo Guzman Rivera, Bereketeab Haileselassie, Yong Y Han, Amy Harrell, Silvia Hartmann, Tarek Hazwani, Glenda Hefley, Grace Henderson, Deyin D. Hsing, Amber Hughes-Schalk, Janet Hume, Stavroula Ilia, David Inwald, Thomas Iolster, Ledys María Izquierdo, Shirin Jafari-Namin, Nancy Jaimon, Alberto E Jarillo Quijada, J. Dean Jarvis, Chaandini Jayachandran, Claire Jennings, Asumthia S. Jeyapalan, Nestor Javier Jimenez Rivera, Dawn Jones, Mary Kasch, Jane't Keary, Connor Kelley, Aaron Kessel, Robinder Khemani, Yoshiko Kida, Caroline King, Martin Kneyber, Allison Kniola, Kelli Krallman, Sherri Kubis, Lucinda Kustka, Michihito Kyo, Luis Martín Landry, Samir Latifi, Angela Lawton-Woodhall, John C. Lin, Ana M. Llorente de la Fuente, Yurika Paola Lopez Alarcón, Yolanda López Fernández, Jesús Lopez-Herce, Lucy Chai See Lum, Duncan Macrae, Aline B. Maddux, Paula Madurga Revilla, Sidharth Mahapatra, Matthieu Maria, Lidia Martínez, Amelia Martinez de Azagra, Alejandro Fabio Martínez León, Liliana Mazzillo Vega, Jenni McCorkell, Karen McIntyre, Tania Medina, Alberto Medina, Christie Mellish, Mikel Mendizabal, Courtney Merritt, Reinout Mildner, Christophe Milesi, Vicent Modesto I Alapont, Cecilia Monjes, Tracey Monjure, María José Montes, Antonio Morales Martinez, Ryan Morgan, Peter M. Mourani, Kathy Murkowski, Marie Murphy, Natalie Napolitano, Dan Nerheim, Sholeen T. Nett, Christopher Newth, Ryan Nofziger, Maria Jose Nunez, Shinichiro Ohshimo, Eider Onate Vergara, Ebru A Ongun, Daniel Orqueda, Siva Oruganti, Izabela Pagowska-Klimek, Daniel Palanca Arias, Jon Pappachan, Rosalba Pardo Carrero, Margaret M. Parker, Julio Parrilla, Nikhil Patankar, Paula Pávez Madrid, Valerie Payen, Fernando Paziencia, Claudia Pedraza, Germán Perez Lozano, Javier Pilar Orive, Byron Enrique Piñeres Olave, Alyssa Pintimalla, Neethi Pinto, Adrian Plunkett, Steve Pon, Marti Pons Odena, Rossana Poterala, Haiping Qiao, Deyanira Quiñonez Lopez, Kimberly Ralston, Grimaldo Ramirez Cortez, Anna Ratiu, Miriam Rea, Susana Reyes Dominguez, Chiara Rodgers, Patricia Rodriguez Campoy, Laurie Ronan, Deheza Rosemary, Courtney Rowan, Kalaimaran Sadasivam, Juan Ignacio Sanchez Diaz, Ron Sanders, James Santanelli, Anil Sapru, James Schneider, Jesica Sforza, Sara Shea, Steven L. Shein, Claire Sherring, Victoria Sheward, Nobuaki Shime, Avani Shukla, Alejandro Siaba Serrate, Yamila Sierra, Lindsay Sikora, Catarina Silvestre, Marcy Singleton, Daniel Sloniewsky, Rebecca Smith, Hanqiu Song, Marta Sousa Moniz, Michael Spaeder, Debbie Spear, Philip Spinella, Julie Starck, Erin Stoneman, Felice Su, Gayathri Subramanian, Erin Sullivan, Santosh Sundararajan, Todd Sweberg, Kim Sykes, Yuichi Tabata, Chian Wern Tai, Joana Tala, Swee Fong Tang, José Tantalean, Ryan Taylor, Neal Thomas, Shane Tibby, Kelly S Tieves, Luis Torero, Silvio Fabia Torres, Balagangadhar Totapally, Brendan Travert, Edward Truemper, Gonzalo Turón, Katri Typpo, Juan Ramón Valle, Sonia I Vargas G, Pablo Vasquez Hoyos, Daniel Vasquez Miranda, Martin Vavrina, Nilda Águeda Vidal, Manpreet Virk, Laura Walsh, Adriana Wegner Araya, James Weitz, Lawren Wellisch, Paul Wellman, Katherine Woods, Rocio Yerovi, Toni Yunger, Cesar Zuluaga Orrego, Jiri Zurek, and Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE)
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Pulmonary and Respiratory Medicine ,Male ,medicine.medical_specialty ,Internationality ,Cross-sectional study ,Acute Lung Injury ,Kaplan-Meier Estimate ,Lung injury ,Intensive Care Units, Pediatric ,Severity of Illness Index ,03 medical and health sciences ,0302 clinical medicine ,Sex Factors ,Anesthesiology ,Cause of Death ,Epidemiology ,Severity of illness ,Medicine ,Humans ,030212 general & internal medicine ,Hospital Mortality ,Prospective Studies ,Prospective cohort study ,Child ,Cause of death ,Respiratory Distress Syndrome ,business.industry ,Incidence (epidemiology) ,Age Factors ,Prognosis ,Combined Modality Therapy ,Survival Analysis ,United States ,Cross-Sectional Studies ,030228 respiratory system ,Area Under Curve ,Child, Preschool ,Emergency medicine ,Female ,business - Abstract
Summary Background Paediatric acute respiratory distress syndrome (PARDS) is associated with high mortality in children, but until recently no paediatric-specific diagnostic criteria existed. The Pediatric Acute Lung Injury Consensus Conference (PALICC) definition was developed to overcome limitations of the Berlin definition, which was designed and validated for adults. We aimed to determine the incidence and outcomes of children who meet the PALICC definition of PARDS. Methods In this international, prospective, cross-sectional, observational study, 145 paediatric intensive care units (PICUs) from 27 countries were recruited, and over a continuous 5 day period across 10 weeks all patients were screened for enrolment. Patients were included if they had a new diagnosis of PARDS that met PALICC criteria during the study week. Exclusion criteria included meeting PARDS criteria more than 24 h before screening, cyanotic heart disease, active perinatal lung disease, and preparation or recovery from a cardiac intervention. Data were collected on the PICU characteristics, patient demographics, and elements of PARDS (ie, PARDS risk factors, hypoxaemia severity metrics, type of ventilation), comorbidities, chest imaging, arterial blood gas measurements, and pulse oximetry. The primary outcome was PICU mortality. Secondary outcomes included 90 day mortality, duration of invasive mechanical and non-invasive ventilation, and cause of death. Findings Between May 9, 2016, and June 16, 2017, during the 10 study weeks, 23 280 patients were admitted to participating PICUs, of whom 744 (3·2%) were identified as having PARDS. 95% (708 of 744) of patients had complete data for analysis, with 17% (121 of 708; 95% CI 14–20) mortality, whereas only 32% (230 of 708) of patients met Berlin criteria with 27% (61 of 230) mortality. Based on hypoxaemia severity at PARDS diagnosis, mortality was similar among those who were non-invasively ventilated and with mild or moderate PARDS (10–15%), but higher for those with severe PARDS (33% [54 of 165; 95% CI 26–41]). 50% (80 of 160) of non-invasively ventilated patients with PARDS were subsequently intubated, with 25% (20 of 80; 95% CI 16–36) mortality. By use of PALICC PARDS definition, severity of PARDS at 6 h after initial diagnosis (area under the curve [AUC] 0·69, 95% CI 0·62–0·76) discriminates PICU mortality better than severity at PARDS diagnosis (AUC 0·64, 0·58–0·71), and outperforms Berlin severity groups at 6 h (0·64, 0·58–0·70; p=0·01). Interpretation The PALICC definition identified more children as having PARDS than the Berlin definition, and PALICC PARDS severity groupings improved the stratification of mortality risk, particularly when applied 6 h after PARDS diagnosis. The PALICC PARDS framework should be considered for use in future epidemiological and therapeutic research among children with PARDS. Funding University of Southern California Clinical Translational Science Institute, Sainte Justine Children's Hospital, University of Montreal, Canada, Reseau en Sante Respiratoire du Fonds de Recherche Quebec-Sante, and Children's Hospital Los Angeles, Department of Anesthesiology and Critical Care Medicine.
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- 2018
7. Beyond Reporting Early Warning Score Sensitivity: The Temporal Relationship and Clinical Relevance of 'True Positive' Alerts that Precede Critical Deterioration
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Christopher P. Bonafide, Meredith C. Winter, and Sherri Kubis
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Male ,medicine.medical_specialty ,Adolescent ,Leadership and Management ,Cross-sectional study ,MEDLINE ,Vital signs ,Assessment and Diagnosis ,Intensive Care Units, Pediatric ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,law ,030225 pediatrics ,Medicine ,Humans ,Clinical significance ,030212 general & internal medicine ,Child ,Care Planning ,Retrospective Studies ,Clinical Deterioration ,business.industry ,Vital Signs ,Health Policy ,Infant, Newborn ,Infant ,Retrospective cohort study ,General Medicine ,Early warning score ,Hospitals, Pediatric ,Intensive care unit ,Cross-Sectional Studies ,Early Warning Score ,Child, Preschool ,Emergency medicine ,Etiology ,Fundamentals and skills ,Female ,business ,Child, Hospitalized - Abstract
Background Clinical deterioration is difficult to detect in hospitalized children. The pediatric Rothman Index (pRI) is an early warning score that incorporates vital signs, laboratory studies, and nursing assessments to generate deterioration alerts. Objectives (1) Evaluate the timing of pRI alerts and clinicians recognizing deterioration or escalating care prior to critical deterioration events (CDEs) and (2) determine whether the parameters triggering alerts were clinically related to deterioration. Design CDEs are unplanned transfers to the intensive care unit with noninvasive ventilation, tracheal intubation, and/or vasopressor infusion in the 12 hours after transfer. Using one year of data from a large freestanding children's hospital without the pRI, we analyzed CDEs that would have been preceded by pRI alerts. We (1) compared the timing of pRI alerts to time-stamped notes describing changes in patient status and orders reflecting escalations of care and (2) identified score component(s) that caused alerts to trigger and determined whether these were clinically related to CDE etiology. Results Fifty CDEs would have triggered pRI alertsif the pRI had been in use (sensitivity 68%). In 90% of CDEs, the first clinician note reflecting change in patient status and/or the first order reflecting escalation of care preceded the first pRI alert. All of the vital sign and laboratory components of the pRI and 51% of the nursing components were clinically related to the etiology of the CDE. Conclusions Evidence that clinicians were awareof deterioration preceded pRI alerts in most CDEs that generated alerts in the preceding 24 hours.
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- 2018
8. Hydrocortisone Therapy in Catecholamine Resistant Pediatric Septic Shock: A Pragmatic Analysis of Clinician Practice and Association with Outcomes
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Jennifer Hewlett, Blake Nichols, Sherri Kubis, Nadir Yehya, and Vijay Srinivasan
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Male ,medicine.medical_specialty ,Surviving Sepsis Campaign ,Adolescent ,Hydrocortisone ,Critical Illness ,Anti-Inflammatory Agents ,Critical Care and Intensive Care Medicine ,Severity of Illness Index ,Article ,03 medical and health sciences ,0302 clinical medicine ,Catecholamines ,Sepsis ,Severity of illness ,Adrenal insufficiency ,medicine ,Vasoconstrictor Agents ,Humans ,030212 general & internal medicine ,Child ,Retrospective Studies ,business.industry ,Septic shock ,Infant ,030208 emergency & critical care medicine ,Retrospective cohort study ,medicine.disease ,Shock, Septic ,Treatment Outcome ,Shock (circulatory) ,Anesthesia ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Cohort ,Physical therapy ,Drug Therapy, Combination ,Female ,Steroids ,medicine.symptom ,business ,Biomarkers ,medicine.drug ,Adrenal Insufficiency - Abstract
OBJECTIVES The 2012 Surviving Sepsis Campaign pediatric guidelines recommend stress dose hydrocortisone in children experiencing catecholamine-dependent septic shock with suspected or proven absolute adrenal insufficiency. We evaluated whether stress dose hydrocortisone therapy in children with catecholamine dependent septic shock correlated with random serum total cortisol levels and was associated with improved outcomes. DESIGN Retrospective cohort study. SETTING Non-cardiac PICU. PATIENTS Critically ill children (1 mo to 18 yr) admitted between January 1, 2013, and December 31, 2013, with catecholamine dependent septic shock who had random serum total cortisol levels measured prior to potential stress dose hydrocortisone therapy. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS The cohort was dichotomized to random serum total cortisol less than 18 mcg/dL and greater than or equal to 18 mcg/dL. Associations of stress dose hydrocortisone with outcomes: PICU mortality, PICU and hospital length of stay, ventilator-free days, and vasopressor-free days were examined. Seventy children with catecholamine-dependent septic shock and measured random serum total cortisol levels were eligible (16% PICU mortality). Although 43% (30/70) had random serum total cortisol less than 18 μg/dL, 60% (42/70) received stress dose hydrocortisone. Children with random serum total cortisol less than 18 μg/dL had lower severity of illness and lower Vasopressor Inotrope Scores than those with random serum total cortisol greater than or equal to 18 μg/dL (all p < 0.05). Children with stress dose hydrocortisone had higher severity of illness and PICU mortality than those without stress dose hydrocortisone (all p < 0.05). Mean random serum total cortisol levels were similar in children with and without stress dose hydrocortisone (21.1 vs 18.7 μg/dL; p = 0.69). In children with random serum total cortisol less than 18 μg/dL, stress dose hydrocortisone was associated with greater PICU and hospital length of stay and fewer ventilator-free days (all p < 0.05). In children with random serum total cortisol greater than 18 μg/dL, stress dose hydrocortisone was associated with greater PICU mortality and fewer ventilator-free days and vasopressor-free days (all p < 0.05). CONCLUSIONS Stress dose hydrocortisone therapy in children with catecholamine-dependent septic shock correlated more with severity of illness than random serum total cortisol levels and was associated with worse outcomes, irrespective of random serum total cortisol levels.
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- 2017
9. Effect of the Procalcitonin Assay on Antibiotic Use in Critically Ill Children
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Jeffrey S. Gerber, Sherri Kubis, Adam C. Dziorny, Luke Keele, Scott L. Weiss, Adam R. Denson, Kathleen A. O'Connor, Marianne Chilutti, Andrew J Lautz, and Rachael K. Ross
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Calcitonin ,medicine.medical_specialty ,medicine.drug_class ,Critical Illness ,Antibiotics ,Medical Overuse ,Intensive Care Units, Pediatric ,01 natural sciences ,Procalcitonin ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,030212 general & internal medicine ,0101 mathematics ,Antibiotic use ,Practice Patterns, Physicians' ,Intensive care medicine ,Child ,Retrospective Studies ,Pediatric intensive care unit ,business.industry ,Critically ill ,General Medicine ,Bacterial Infections ,Pennsylvania ,bacterial infections and mycoses ,Hospitals, Pediatric ,Anti-Bacterial Agents ,Clinical Practice ,Infectious Diseases ,Pediatrics, Perinatology and Child Health ,business ,hormones, hormone substitutes, and hormone antagonists ,Biomarkers - Abstract
We retrospectively studied the effect of introducing procalcitonin into clinical practice on antibiotic use within a large academic pediatric intensive care unit. In the absence of a standardized algorithm, availability of the procalcitonin assay did not reduce the frequency of antibiotic initiations or the continuation of antibiotics for greater than 72 hours.
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- 2017
10. 688: PREVALENCE OF BRAIN MRI ABNORMALITIES IN PEDIATRIC SEPSIS PATIENTS
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Marie Lynd Murphy, Matthew P. Kirschen, Danielle Traynor, Scott T. Weiss, Alexis A. Topjian, Julie C. Fitzgerald, Nicholas Lunig, Arastoo Vossough, Stephanie Schramm, Sara Reis Teixeira, Andrew Becker, and Sherri Kubis
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medicine.medical_specialty ,Pediatric sepsis ,business.industry ,medicine ,Brain mri ,Radiology ,Critical Care and Intensive Care Medicine ,business - Published
- 2020
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11. A Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: The Optimizing Antibiotic Strategies in Sepsis (OASIS) Study
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Jeffrey S. Gerber, Ebbing Lautenbach, Warren B. Bilker, Fran Balamuth, Scott L. Weiss, Pam Tolomeo, Xiaoyan Han, Charles Garrigan, Julie C. Fitzgerald, Jennifer H. Han, Susan E. Coffin, Kevin J. Downes, Irving Nachamkin, Sherri Kubis, and Sarah B. Klieger
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Calcitonin ,Male ,medicine.medical_specialty ,Adolescent ,medicine.drug_class ,Antibiotics ,Bioinformatics ,Intensive Care Units, Pediatric ,Procalcitonin ,Decision Support Techniques ,Sepsis ,03 medical and health sciences ,0302 clinical medicine ,030225 pediatrics ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Prospective Studies ,Prospective cohort study ,Child ,Pediatric intensive care unit ,Serum Amyloid A Protein ,business.industry ,Infant ,General Medicine ,medicine.disease ,Confidence interval ,Systemic Inflammatory Response Syndrome ,Anti-Bacterial Agents ,Systemic inflammatory response syndrome ,Infectious Diseases ,C-Reactive Protein ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Biomarker (medicine) ,Original Article ,Female ,business ,Algorithms ,Biomarkers - Abstract
Background. Biomarkers that identify critically ill children with systemic inflammatory response syndrome (SIRS) at low risk for bacterial infection may help clinicians reduce unnecessary antibiotic use. Methods. We conducted a prospective cohort study of children with SIRS and suspected infection admitted to a pediatric intensive care unit from January 5, 2012 to March 7, 2014. We enrolled patients upon initiation of new antibiotics (Time 0) and measured a panel of 8 serum biomarkers daily over 72 hours. Microbiology, imaging, and clinical data were reviewed to classify bacterial infections using Centers for Disease Control and Prevention definitions. We identified cut points of biomarker combinations to maximize the negative predictive value (NPV) and specificity for bacterial infection. Excess antibiotics were calculated as days of therapy beyond day 2 after SIRS onset in patients without bacterial infection. Results. Infections were identified in 46 of 85 patients: bacterial (n = 22) and viral (24), whereas 39 patients had no infection identified. At Time 0, C-reactive protein (CRP)
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- 2016
12. [Untitled]
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Arastoo Vossough, Danielle Traynor, Matthew P. Kirschen, Andrew Becker, Julie C. Fitzgerald, Alexis A. Topjian, Scott T. Weiss, and Sherri Kubis
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Pediatrics ,medicine.medical_specialty ,Pediatric sepsis ,business.industry ,Medicine ,Critical Care and Intensive Care Medicine ,business - Published
- 2019
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13. Developing a Biomarker-Driven Algorithm to Improve Antibiotic Use in the Pediatric Intensive Care Unit: The Optimizing Antibiotic Strategies in Sepsis (OASIS) Study
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Irving Nachamkin, Scott L. Weiss, Ebbing Lautenbach, Julie C. Fitzgerald, Kevin J. Downes, Xiaoyan Han, Charles Garrigan, Sarah B. Klieger, Warren B. Bilker, Pam Tolomeo, Jeffrey S. Gerber, Jennifer H. Han, Fran Balamuth, Sherri Kubis, Prevention Epicenters Program, and Susan E. Coffin
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Pediatric intensive care unit ,Pediatrics ,medicine.medical_specialty ,business.industry ,medicine.drug_class ,Antibiotics ,medicine.disease ,Sepsis ,Infectious Diseases ,Oncology ,medicine ,Biomarker (medicine) ,Antibiotic use ,Intensive care medicine ,business - Published
- 2015
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14. Improving the Performance of Anthropometry Measurements in the Pediatric Intensive Care Unit
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Maria R. Mascarenhas, Vijay Srinivasan, Shiela Falk, Henry M Lee, Sharon Y. Irving, Sherri Kubis, Martha Sisko, Monica L. Nagle, and Stephanie Seiple
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Pediatric intensive care unit ,medicine.medical_specialty ,Critically ill ,business.industry ,Electronic medical record ,030208 emergency & critical care medicine ,Anthropometry ,Head circumference ,03 medical and health sciences ,Skills training ,0302 clinical medicine ,Physical therapy ,Nutrition support ,Medicine ,030212 general & internal medicine ,Bedside teaching ,business - Abstract
Introduction Obtaining anthropometry measurements in critically ill children is challenging. Our objective was to improve the process of obtaining anthropometry measurements in the pediatric intensive care unit (PICU; even if previously obtained) using a dedicated PICU nutrition support team (NST). Methods PICU staff were trained to perform anthropometry measurements through online education, skills training, and just-in-time bedside teaching by the PICU NST. Equipment was upgraded and standardized throughout the PICU along with implementation of preselected orders in the electronic medical record. Data were collected before and immediately after intervention and at monthly intervals from 12 to 36 months to test sustainability of practice change. PICU staff were surveyed on barriers to anthropometry measurements at 36 months after initial intervention. Results Compared with baseline, the intervention resulted in more patients with orders for weight, stature, and head circumference (all P 7 days), compliance improved with measurements of serial weights (P = 0.002), stature (P < 0.001), and head circumference (P = 0.02). Between 12 and 36 months after the intervention, there was a noticeable trend to increases in weight measurements at PICU admission, and to a lesser extent, of stature and head circumference. Competing clinical priorities were a key barrier to anthropometry measurements. Conclusions Performance of anthropometry measurements in the PICU can be improved by a dedicated PICU NST; however, sustaining these improvements is challenging due to competing clinical priorities.
- Published
- 2017
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15. [Untitled]
- Author
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Blake Nichols, Andrew Palladino, Nadir Yehya, Vijay Srinivasan, Sherri Kubis, Sarah Ginsburg, and Jennifer Hewlett
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medicine.medical_specialty ,business.industry ,Septic shock ,Medicine ,Critical Care and Intensive Care Medicine ,business ,medicine.disease ,Intensive care medicine ,Hydrocortisone ,medicine.drug - Published
- 2015
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16. [Untitled]
- Author
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Sherri Kubis, Matthew P. Kirschen, Genevieve Dupont-Thibodeau, Robert A. Berg, Alexis A. Topjian, and Jennifer Hewlett
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Critically ill ,business.industry ,Anesthesia ,medicine ,Critical Care and Intensive Care Medicine ,medicine.disease ,Paroxysmal sympathetic hyperactivity ,business ,Acquired brain injury - Published
- 2015
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17. 477: FEASIBILITY OF SEGMENT LENGTH MEASUREMENTS IN THE PEDIATRIC ICU
- Author
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Madeline Perkel, Robin Meyers, Michael J. Fry, Judy T. Verger, Vijay Srinivasan, Melissa Garcia, Megan Waxler, and Sherri Kubis
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medicine.medical_specialty ,business.industry ,medicine ,Segment length ,Radiology ,Critical Care and Intensive Care Medicine ,business - Published
- 2016
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18. [Untitled]
- Author
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Elizabeth R. Alpern, Robert W. Grundmeier, Fran Balamuth, Halden F. Scott, Julie C. Fitzgerald, Ilana Caplan, Scott T. Weiss, and Sherri Kubis
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medicine.medical_specialty ,Increased risk ,business.industry ,Emergency medicine ,medicine ,Critical Care and Intensive Care Medicine ,business ,All cause mortality ,Severe sepsis - Published
- 2014
- Full Text
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