Abstract
Introduction
Sepsis is a common, costly and morbid cause of critical illness in trauma and surgical patients. Ongoing advances in sepsis resuscitation and critical care support strategies have led to improved in-hospital mortality. However, these patients now survive to enter state of chronic critical illness (CCI), persistent low-grade organ dysfunction and poor long-term outcomes driven by the persistent inflammation, immunosuppression and catabolism syndrome (PICS). The Sepsis and Critical Illness Research Center (SCIRC) was created to provide a platform by which the prevalence and pathogenesis of CCI and PICS may be understood at a mechanistic level across multiple medical disciplines, leading to the development of novel management strategies and targeted therapies.
Methods
Here, we describe the design, study cohort and standard operating procedures used in the prospective study of human sepsis at a level 1 trauma centre and tertiary care hospital providing care for over 2600 critically ill patients annually. These procedures include implementation of an automated sepsis surveillance initiative, augmentation of clinical decisions with a computerised sepsis protocol, strategies for direct exportation of quality-filtered data from the electronic medical record to a research database and robust long-term follow-up.
Ethics and dissemination
This study has been registered at ClinicalTrials.gov, approved by the University of Florida Institutional Review Board and is actively enrolling subjects. Dissemination of results is forthcoming.
Keywords: immunology, health informatics, adult intensive & critical care, adult surgery, protocols & guidelines
Strengths and limitations of this study.
Computerised decision support will minimise the influence of variability in management practices.
Robust long-term follow-up will allow for deeper understanding of functional recovery following sepsis.
Investigation of targeted therapies is currently limited by deficiencies in our understanding of sepsis pathophysiology.
Introduction
Sepsis as both a cause and a complication of surgical intensive care unit (ICU) admission is common, costly and morbid. Hospitalisation with sepsis has become more common than hospitalisation with myocardial infarction, with annual costs over US$20 billion in the USA.1 2 Mortality rates for sepsis range from 18%–28%, and remain unacceptably high despite more than 30 years of intensive research.3 4 Recent advances in resuscitation strategies have improved in-hospital mortality, but sepsis survivors often enter a state of chronic critical illness (CCI) driven by the persistent inflammation, immunosuppression and catabolism syndrome (PICS)5 6 (figure 1). However, the pathophysiology of these conditions remains incompletely understood. The Sepsis and Critical Illness Research Center (SCIRC) was created to provide a platform to better understand the pathophysiology of PICS. The objective of this prospective cohort study of sepsis in critically ill surgical patients is to understand the prevalence and pathogenesis of PICS at a mechanistic level across multiple medical disciplines, leading to the development of novel management strategies and targeted therapies.
Methods and analysis
Setting
The University of Florida (UF) Health Shands Hospital (Gainesville, Florida; U.S.A.) is a level 1 trauma and tertiary care centre with two trauma/surgical ICUs totalling 48 beds, which serve as the recruitment base for this cohort study. UF Health is the sole tertiary care centre for a greater than 90 mile radius catchment area, including over 1.5 million people. Together, the trauma and surgical ICU teams manage over 2600 critically ill patients annually. Each ICU has a dedicated surgical critical care team including a board certified attending intensivist, critical care fellows, surgical and anaesthesia residents, and advanced practice providers (physician assistants and nurse practitioners). These teams collaborate with unit-dedicated pharmacists, respiratory therapists, physical therapists, occupational therapists, nutritionists and social workers. Board certified attending acute care surgeons and critical care fellows provide in-hospital coverage 24 hours per day, 7 days per week.
Study design and population
This is a prospective, longitudinal cohort study of surgical ICU patients that develop sepsis. Based on preliminary data and a priori power analyses, 400 patients will be enrolled over a period of 4 years, with subsequent 12-month individual follow-up. Enrolment began in January 2015 and will continue through January 2019, and beyond if funding permits. Inclusion criteria are presence in the trauma/surgical ICU, age ≥18 years, and diagnosis with sepsis, severe sepsis or septic shock with subsequent initiation of the computerised clinical decision support (CCDS)-directed sepsis protocol.7–9 Septic patients are initially identified by a modified version of the Modified Early Warning Score (MEWS-SRS),10 which screens for sepsis based on temperature, heart rate, respiratory rate, blood pressure and level of consciousness (table 1). In the emergency department and on surgical wards, this score is calculated for each patient on arrival, every time vital signs are recorded, and any time a patient has an acute change from their baseline physiologic status, prompting further investigation. Patients identified by the MEWS screening protocol are then directly assessed by a physician or advance practice provider for bedside clinical adjudication of the presence of sepsis (a systemic inflammatory response with a source of infection), severe sepsis (sepsis-induced tissue hypoperfusion or organ dysfunction), or septic shock (severe sepsis with persistent arterial hypotension despite volume resuscitation) based on consensus definitions.11–14 This screening and diagnostic process has been automated and embedded within the UF Health electronic medical record (Epic Systems, Verona, WI, USA). All cases that are deemed to have sepsis, severe sepsis or septic shock by the physician or advanced practice provider at the bedside are then reviewed in detail by a faculty member of the SCIRC to ensure that the diagnosis was appropriate, and are reviewed again at weekly SCIRC sepsis adjudication meetings for the same purpose.
Table 1.
Points | 3 | 2 | 1 | 0 | 1 | 2 | 3 |
Temp | <32 | <35 | <36 | 36.0–38.4 | 38.5–38.9 | 39.0–40.9 | ≥41 |
HR | <40 | 40–44 | 45–50 | 51–100 | 101–110 | 111–129 | ≥129 |
RR | ≤7 | 8 | 9 | 10–14 | 15–20 | 21–29 | ≥30 |
SBP | ≤70 | 71–80 | 81–100 | 101–160 | 161–180 | 181–199 | ≥200 |
Mental status* | Unresponsive | Responds to noxious stimuli | Responds to voice or tap | Alert, cooperative | Mildly agitated, confused | Very agitated, requires restraints | Extremely agitated, danger to self or others |
WBC | <1.0† | 1.0–2.9† | – | 3.0–14.9 | 15.0–19.9 | 20.0–39.9 | ≥40 |
*Do not score if the patient is receiving a sedating medication or has a general medical condition affecting mental status (eg, traumatic brain injury, stroke).
†Do not score if the patient is receiving oncolytic therapy.
Temp, temperature (°C), HR, heart rate; RR, respiratory rate; SBP, systolic blood pressure (mm Hg); WBC, white cell count (x109/L).
The provider is notified if the patient has a total score ≥6, three points in any single category, worsening mental status or an increase in fraction of inspired oxygen (FiO2).
Exclusion criteria are age <18 years, severe traumatic brain injury (ie, CT evidence of neurological injury and Glasgow Coma Scale score <8), spinal cord injury resulting in permanent sensory and/or motor deficits, sepsis with an uncontrollable source (eg, unresectable bowel ischaemia), New York Heart Association class IV heart failure, Child-Pugh class B or C liver disease, known HIV infection with CD4 count <200 cells/mm3, organ transplant recipient on an immunosuppressant agent, chemotherapy or radiotherapy within 30 days prior to onset of sepsis, expected lifespan <3 months due to severe pre-existing comorbidities, active Do Not Resuscitate or Do Not Intubate order, pregnancy, incarceration or institutionalisation. Demographics, comorbidities, illness severity, length of stay and discharge disposition for patients who have been enrolled in the study are listed in table 2.
Table 2.
Demographics | All patients n = 216 |
Age in years, mean (SD) | 59.3 (15.2) |
Male, n (%) | 116 (53.7) |
Race, n (%) | |
Caucasian (White) | 191 (88.4) |
African American | 20 (9.3) |
Asian | 1 (0.5) |
Pacific Islander | 0 (0) |
Other | 3 (1.4) |
BMI, median (25th, 75th) | 29.3 (24.8, 35.8) |
Charlson Comorbidity Index, mean (SD) | 4.3 (3.0) |
APACHE II score (24 hours), mean (SD) | 18.0 (8.1) |
Interfacility hospital transfer, n (%) | 95 (44.0) |
Hospital-acquired sepsis*, n (%) | 88 (40.7) |
ICU LOS, median (25th, 75th) | 7 (3.5, 18) |
Hospital LOS, median (25th, 75th) | 17 (8, 29) |
Discharge disposition, n (%) | |
‘Good’ disposition | 117 (54.2) |
Home | 38 (17.6) |
Home healthcare services | 69 (31.2) |
Rehab | 10 (4.6) |
‘Poor’ disposition | 99 (45.8) |
Long-term acute care facility | 30 (13.9) |
Skilled nursing facility | 37 (17.1) |
Another Hospital | 9 (4.2) |
Hospice | 7 (3.2) |
Death | 16 (7.4) |
*Sepsis onset ≥48 hours after hospital admission.
APACHE, Acute Physiology and Chronic Health Evaluation; BMI, body mass index; ICU, intensive care unit; LOS, length of stay.
Within the study population, cohort analyses will include comparisons between patients who develop CCI versus patients who experience early recovery from sepsis. Among CCI patients, patients who develop PICS will be compared with patients who do not. In addition, inflammatory, immunosuppression and catabolism biomarkers will be measured in age-matched healthy control for comparison to CCI, non-CCI and PICS patients.
CCDS sepsis protocol
Patients who are diagnosed with sepsis, severe sepsis or septic shock are started on a CCDS protocol, as previously described.7 This system was modified from a sepsis management protocol originally implemented at the Methodist Hospital in Houston, Texas.8 In brief, mobile bedside computer workstations were programmed with sepsis protocol algorithm logic that interacts with the patient and clinician by mapping clinical workflow and recommendations to patient physiology and clinical interventions. The sepsis protocol algorithm logic was developed by a multidisciplinary team of surgeons, intensivists, advanced practitioners, nurses, respiratory therapists, pharmacists, pathologists and computer engineers, based on Surviving Sepsis Campaign guidelines.14 The algorithm produces a recommendation; the clinician may accept or modify the recommendation, tailoring care to individual patient-specific factors. The selected intervention is then imputed, and the computerised clinical workflow and recommendations continue to evolve.
The computerised sepsis protocol is the platform for clinical decisions regarding initial volume resuscitation and antibiotic therapy initiation. For all other clinical decisions, the SCIRC developed protocols based on standard operating procedures from the Inflammation and the Host Response to Injury Collaborative Research Programme.15–24 The SCIRC protocols include a daily spontaneous breathing trial protocol (online supplementary figure 1), delirium protocol (online supplementary table 1),25 26 product transfusion protocol (table 3) and a nutritional support protocol (online supplementary table 2).27
Table 3.
Blood product | Indications for transfusion |
Red blood cells | Hb <7 g/dL or HCT <21% |
Hb <10 g/dL or HCT<30% and symptomatic cardiovascular disease | |
Acute blood loss >30% of total blood volume | |
Plasma (minimum dose 10–20 mL/kg) | INR >1.7 and active bleeding or immediately prior to a procedure |
Thrombotic thrombocytopenic purpura | |
Factor deficiency for which no specific concentrate is available | |
Cryoprecipitate | Fibrinogen <100 mg/dL |
Factor XIII deficiency | |
Perioperative management |
Hb, haemoglobin HCT, haematocrit; INR, international normalised ratio.
bmjopen-2016-015136supp001.pdf (447.2KB, pdf)
bmjopen-2016-015136supp002.pdf (209.6KB, pdf)
bmjopen-2016-015136supp003.pdf (199.9KB, pdf)
Subject recruitment
When a patient is diagnosed with sepsis, a page notification is sent to a team of research nurses who respond to evaluate for study enrolment 24 hours per day, 7 days per week. The research nurse on-call evaluates inclusion and exclusion criteria. If the patient qualifies, the research nurse seeks to obtain informed consent from the patient (if able) or legally authorised representative. Similar to the Inflammation and Host Response to Injury programme, a 96 hours deferral of informed consent exists for initial sample and data collection based on previous precedent at this institution, and approved by the institutional review board (IRB).15–17 If consent is not obtained within 96 hours, all initial blood samples and patient data are destroyed. If consent is initially obtained from the legally authorised representative and the patient regains decision-making capacity, the patient has the opportunity to withdraw from the study at that time. Study subjects may choose to participate during hospital admission with or without long-term follow-up, though long-term follow-up is encouraged, per study objectives.
Within the first 7 days, all study subjects undergo prospective clinical adjudication to confirm proper diagnosis, source identification and severity classification of sepsis during weekly SCIRC adjudication and retention committee meetings. As this study was designed and initiated prior to the Sepsis-3 consensus statement, sepsis severity is classified by previously established consensus definitions.11–14 However, data collected during the course of the study will allow for subsequent classification and comparison to the subsequently released Sepsis-3 consensus statement, including assessment of qSOFA scores.28 29
Data procurement and management
Data describing baseline characteristics, management and outcomes for each study subject are prospectively collected, recorded and managed using the REDCap (REDCap consortium; www.projectredcap.org) research electronic case report form platform.30 In collaboration with the University of Florida Clinical and Translational Science Institute (CTSI), our centre developed an automated data collection and integration system that extracts clinical data from the electronic medical record and uploads the data to REDCap over a secure server on a daily basis. Raw data from the electronic medical record (EMR), including information on patient laboratory results, vital signs, medications and information related to hospital and ICU admission and discharge, are directly uploaded to the SCIRC database by the University of Florida Health Integrated Data Repository (IDR). The SCIRC database includes over 800 data fields describing the vital signs, clinical signs and symptoms of sepsis, medical history, laboratory values, microbiological analyses, cardiopulmonary resuscitation parameters, procedural interventions, medications, infusions and outcomes for each patient. Parameters available in the EMR are transferred to the SCIRC database after compilation and quality filtering via the IDR system. Data from biologic sampling analyses performed by the Bioanalytical Core (eg, flow cytometry, ELISA, multiplex, and gene analyses) are also transferred to the SCIRC drive as they are completed. The SCIRC database gives each project access to its own protected folder and to a bridge folder in which data can be placed for transfer to the Database Management and Biostatistics Core personnel for quality control and statistical analyses. The quality and accuracy of the transferred data is validated at regular intervals by the Database Management and Biostatistics Core by identifying potential outlier values and reviewing the source data with SCIRC faculty. Parameters that are not available in the electronic medical record are manually extracted and entered into the REDCap case report form. Data regarding the inpatient hospital course prior to protocol initiation are also collected. For patients transferred from another facility, this includes records from the outside facility regarding the initial signs and symptoms of sepsis, microbiological findings, antibiotic administration parameters and source control procedures.
Biomarker sampling, processing and analysis
Tissue samples are collected at scheduled intervals for biomarkers analyses of inflammation (eg, plasma tumour necrosis factor-alpha, interleukin (IL)-1, IL-2, IL-3, IL-5, IL-6, IL-10, IL-12, interferon-gamma, macrophage inflammatory protein 1-alpha), immunosuppression (eg, granulocytic and monocytic myeloid-derived suppressor cells in whole blood, expression of PD-131 and PDL-1 on blood monocytes and CD66b+ neutrophils) and catabolism (eg, serum prealbumin, urine 3-methylhistidine, skeletal muscle high-resolution respirometry in situ, assessment of muscle morphology and myosin/actin ratio by histochemistry, and measurement of FoxO3A, MuRF1, MAFBx, BNIP, calpains, and 20S proteasome activity) from 12 hours out to 42 days or inpatient discharge for non-muscle samples. Muscle samples are obtained 28 days after sepsis protocol initiation. Skeletal muscle samples weighing 150–250 mg are obtained from the vastus lateralis at the midpoint between the patella and the greater trochanter of the femur by trained practitioners using sterile technique under local anaesthesia, as previously described.32 A portion is immediately permeabilised for high resolution respiration measurements, a portion is mounted in embedding medium and frozen in isopentane for histochemical analysis, and the remaining tissue is frozen in liquid nitrogen and stored at −80°C.
For purposes of sample collection, time zero coincides with initiation of the sepsis protocol. Blood samples and laboratory measurements are obtained at the following time points, relative to sepsis protocol and study initiation: 12 hours, 1 day, 4 days, 7 days, 14 days, 21 days, 28 days, 35 days and 42 days. Initial sample processing, including centrifugation, labelling and freezing of patient samples, is performed 24 hours per day, 7 days per week at an on-site sample processing laboratory located within the trauma ICU. This laboratory contains a −80° freezer, a microfuge, a refrigerated centrifuge and an environmental hood. Flow cytometry is performed on fresh samples, and all other samples are stored in the −80° freezer, and subsequently transported to the Bioanalytics core or individual project laboratories as appropriate. Collected specimens are annotated, labelled and stored according to best-practice guidelines.33 Stored samples are maintained in a biobank that will remain available for future testing. Standard training is provided to all laboratory staff regarding machine calibration, sample processing, operator safety and quality control. Serum and plasma samples are collected in a fully filled collection tube, inverted 5–10 times and then maintained in a closed tube in vertical position until centrifugation. Samples are analysed in parallel with reagents from the same batch by the same technician. Analytic methods include flow cytometry, ELISA, multiplex and gene expression array (NanoString Technologies, Seattle, WA, USA and Affymetrix, Cleveland, OH, USA). The analytic plan followed the STROBE recommendations for observational cohort studies.34
Subject retention, clinical assessments and long-term follow-up
During the index hospitalisation, clinical assessments focus on host factors (eg, age, gender, comorbidities, hospital course prior to ICU admission), infection characteristics (eg, presumed type of infection, microbiological data, antibiotic therapy), sepsis severity (eg, haemodynamic parameters, vasopressor support, laboratory measures of hypoxaemia and tissue ischaemia, Sequential Organ Failure Assessment (SOFA) scores,35 APACHE II scores36), volume status by protocolised bedside echocardiography, procedural interventions to obtain source control, nutritional parameters (eg, nutrition provided by gastric, postpyloric and parenteral routes, weekly caloric and protein goals vs actual calories and protein administered, 24 hours urine collection to assess nitrogen balance, indirect calorimetry, and changes in body mass index and ideal body weight) and short-term outcomes (eg, infectious complications, non-infectious complications, ICU length of stay, days on mechanical ventilation, change in SOFA score over time, in-hospital mortality, discharge disposition).
Bedside echocardiography is performed by the transesophageal approach for intubated patients with an intact oesophagus and stomach, no known or suspected gastro-oesophageal variceal disease, and low risk for pathologically increased intracranial pressures. Echocardiography is performed by the transthoracic approach for all other patients. Assessments include the presence of pericardial fluid, characterisation of the right ventricle size as normal, collapsible or enlarged, characterisation of right and left ventricle contractility as normal, poor or hyperdynamic, description of the superior vena cava collapsibility index as less than or equal to 36%, quantification of fractional area change (the difference in left ventricular area at end-diastole versus end-systole, divided by end-diastolic area), an interpretation of the findings as representing euvolemia, hypovolaemia or hypervolaemia, and a plan to start, discontinue, increase or decrease intravenous fluid therapy, vasopressor therapy and inotrope therapy based on echocardiography findings.
A retention committee creates an individualised follow-up plan for each study subject prior to discharge from the hospital. The retention committee meets twice per week to discuss all active study subjects, with special attention to subjects for whom long-term follow-up may be jeopardised by geographic and social impediments. Phone contact encounters are scheduled and used to predict retention problems. Parking and transportation costs are provided to the study subjects to maximise access to the research centre. Members of the retention committee are trained to recognise and address psychosocial issues and provide emotional support as needed. When medical and/or mental health problems necessitating further treatment are identified, the retention committee provides referrals to the appropriate specialists and ensures that care is provided in a timely fashion.
Long-term follow-up outpatient clinic visits occur at 3 months, 6 months and 12 months at the facilities of the University of Florida Institute on Aging. Clinical assessments at these time points will focus on functional recovery from sepsis by performing a battery of tests including the Rand 36-Item SF health Survey,37 Mini Nutritional Assessment,38 EQ-5D-3L Health Questionnaire,39 Hopkins Verbal Learning Test,40 Controlled Oral Word Association test,41 Modified Mini-Mental State Exam,42 ECOG/WHO/Zubrod score,43 Short Physical Performance Battery,44 hand grip strength measurement and body composition measurements with the BIA 450 bioimpedance analyser (Biodynamics, Shoreline, WA, USA). If patients are unwilling or unable to return for outpatient clinical follow-up, home-visits are scheduled (up to 2-hour drive radius) or subjective data are collected via telephone interview.
To identify and evaluate the progression of sarcopenia, we will perform CT morphometric assessments of psoas and abdominal wall lean muscle mass at baseline, 3 months and 12 months, using SliceOmatic software (V.5.0 rev 6a; Tomovision, Magog, Quebec, Canada). Standard of care CT scans of the abdomen and pelvis conducted for diagnostic purposes while the patient was hospitalised were used for this analysis. Two of these CT scans were used: the baseline scan was performed within 3 days of sepsis protocol onset; the second scan was performed within 7 to 14 days of the baseline scan. To calculate the total skeletal muscle cross-sectional area (cm2), trained investigators identified and quantified all skeletal muscles (psoas, paraspinal and abdominal wall muscles) at the level of the third lumbar (L3) vertebra where both transverse processes were visualised using established Hounsfield unit (−29 to 150) attenuation thresholds for skeletal muscle tissue.45 The L3 vertebral level was chosen because skeletal muscle visualised at this axial plane has been shown to correlate with whole-body muscle mass.46 Skeletal muscle index (SMI, cm2/m2) was then calculated by normalising the total skeletal muscle cross-sectional area (cm2) to patient height squared (m2). Psoas muscle index (PMI, cm2/m2) was also calculated by normalising only the psoas muscle cross-sectional area (cm2) to patient height squared (m2).
Outcome definitions and analytic design
The primary outcomes of interest are the development of CCI and 1-year mortality rates after the development of sepsis. The CCI is defined as an extended course of critical illness with persistent organ dysfunction requiring intensive care resources. Extended course of illness requiring intensive care resources is defined as total ICU days >14 days or being discharged to another hospital, long-term acute care hospital, or hospice. Persistent organ dysfunction is defined as having a SOFA score of at least two in any organ system with the exception of at least one for cardiovascular system on day 14 in ICU after protocol onset or last SOFA score available, whichever comes first. Subjects are deemed to have developed CCI if they are discharged to dispositions associated with poor outcomes (eg, long-term acute care facility, skilled nursing facility) prior to ICU day 14 with ongoing evidence of organ dysfunction, as described above. Mortality at 1 year will be determined by prospective follow-up, or from the United States Social Security Death Index for those lost to follow-up.
Secondary outcomes of interest include changes in health, function and quality of life assessments at 1 year after sepsis onset. Analyses will include the development of biomarker and clinical prediction models for the development of CCI, as well as prediction models and the development of a ‘CCI score’ at ICU day 14 to predict 1 year mortality and poor functional outcomes. Additionally, biomarker analyses at day 14 will seek to characterise the presence of persistent inflammation, immunosuppression and catabolism in subjects who have developed CCI, consistent with the PICS pathophysiologic phenotype.
Ethics and dissemination
This study has been registered at ClinicalTrials.gov (NCT02276417). The University of Florida IRB approved this study. This work was supported by P50 GM111152–01 awarded by the National Institute of General Medical Sciences (NIGMS). TJL, JCM and JAS were supported by a post-graduate training grant (T32 GM-08721) in burns, trauma and perioperative injury from the NIGMS. The authors have read and understood BMJ policy on declaration of interests and declare that the authors have no competing interests. All investigators will complete annual training modules regarding the ethical conduct of research and Health Insurance Portability and Accountability Act (HIPAA) compliance, per IRB requirements. All investigators also complete National Institutes of Health conflict of interest disclosure training. Results will be presented at national and international conferences and reported in peer-reviewed journals. Dissemination of preliminary results is forthcoming.
Summary
Better strategies are needed to improve care for millions of critically ill patients with sepsis and septic shock. While in-hospital mortality has decreased, a new phenotype of CCI driven by PICS physiology has emerged and appears to be associated with a substantial burden of morbidity and late mortality. Therefore, further investigation is needed to elucidate pathophysiology and identify therapeutic approaches for CCI and PICS. Through prospective multidisciplinary investigation augmented by automated sepsis surveillance, clinical decision support with a computerised sepsis protocol, advanced data management strategies, and robust long-term follow-up, the SCIRC seeks to develop novel management strategies and targeted therapies for critically ill septic patients.
Supplementary Material
Acknowledgments
The authors would like to acknowledge the invaluable contributions of the UF Sepsis and Critical Illness Research Center staff, including Jennifer Lanz, Ruth Davis, Jillianne Brakenridge, AshleyMcCray, Bridget Baisden, Ricky Ungaro, Dina Nacionales, Marvin Dirain, Tabitha Johns and Ada Malcolm.
Footnotes
Twitter: @brakenridge_md
Contributors: TOB, GG, ZW, BAB, AB, MSS, SDA, CL, AMM, PAE, LLM, FAM and SCB contributed to study design. TJL, JCM and TOB contributed to manuscript composition. LLM, FAM and SCB provided critical revisions.
Funding: This work was supported by P50 GM111152-01 awarded by the National Institute of General Medical Sciences (NIGMS). TJL, JCM and JAS were supported by a postgraduate training grant (T32 GM-08721) in burns, trauma and perioperative injury from the NIGMS.
Competing interests: None declared.
Patient consent: Obtained.
Ethics approval: Approved by University of Florida Institutional Review Board.
Provenance and peer review: Not commissioned; externally peer reviewed.
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