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Arina P, Hofmaenner DA, Singer M. Definition and Epidemiology of Sepsis. Semin Respir Crit Care Med 2024. [PMID: 38968960 DOI: 10.1055/s-0044-1787990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024]
Abstract
Here we review the epidemiology of sepsis, focusing on its definition, incidence, and mortality, as well as the demographic insights and risk factors that influence its occurrence and outcomes. We address how age, sex, and racial/ethnic disparities impact upon incidence and mortality rates. Sepsis is more frequent and severe among the elderly, males, and certain racial and ethnic groups. Poor socioeconomic status, geographic location, and pre-existing comorbidities also elevate the risk of developing and dying from sepsis. Seasonal variations, with an increased incidence during winter months, is also apparent. We delve into the predictive value of disease severity scores such as the Sequential Organ Failure Assessment score. We also highlight issues relating to coding and administrative data that can generate erroneous and misleading information, and the need for greater consistency. The Sepsis-3 definitions, offering more precise clinical criteria, are a step in the right direction. This overview will, we hope, facilitate understanding of the multi-faceted epidemiological characteristics of sepsis and current challenges.
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Affiliation(s)
- Pietro Arina
- Division of Medicine, Bloomsbury Institute of Intensive Care Medicine, University College London, London, United Kingdom
| | - Daniel A Hofmaenner
- Division of Medicine, Bloomsbury Institute of Intensive Care Medicine, University College London, London, United Kingdom
- Institute of Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Mervyn Singer
- Division of Medicine, Bloomsbury Institute of Intensive Care Medicine, University College London, London, United Kingdom
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Correia I, Fernandes S, Bernardino M, Gonçalves Pereira J. Infection on Frail Patients in the Intensive Care Unit: Insights From the PalMuSIC Study. Cureus 2024; 16:e63897. [PMID: 39099977 PMCID: PMC11298117 DOI: 10.7759/cureus.63897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND Along with population aging, frailty is also increasingly common in the intensive care unit (ICU). However, the impact of frailty on the infection incidence, the risk of multidrug-resistant (MDR) microorganisms, and the potential benefits of broad-spectrum antibiotics are still poorly studied. METHODS This is a multicentric, prospective, observational study collecting data for 15 consecutive days of all consecutive adult patients admitted in each participating ICU. Exclusion criteria included admission for less than 24 hours or failure to obtain informed consent. The Clinical Frailty Score (CFS) was calculated both by the doctor and by the nurse in charge, and the patient's next of kin. Patients were considered frail if the mean of the three measured scores was ≥5. This is a post hoc analysis of the PALliative MUlticenter Study in Intensive Care (PalMuSIC) study. The Hospital de Vila Franca de Xira Ethics Committee approved the study (approval number: 63). RESULTS A total of 335 patients from 23 Portuguese ICUs were included. Frailty was diagnosed in 20.9%. More than 60% of the patients had a diagnosis of infection during their ICU stay, either present on admission or hospital-acquired. This included 25 (35.7%) frail and 75 (28.3%) non-frail (p=0.23) patients diagnosed with infection. In 34 patients, MDR microorganisms were isolated, which were more common in frail patients (odds ratio (OR): 2.65, 95% confidence interval (CI): 1.3-5.6, p=0.018). Carbapenems were started in 37 (18.1%) patients, but after adjusting for frailty and severity, no clear mortality benefit of this strategy was noted (odds ratio for ICU mortality: 1.61, 95% confidence interval: 0.49-5.31, p=0.43; odds ratio for hospital mortality: 1.61, 95% confidence interval: 0.61-4.21, p=0.33). CONCLUSION Frail patients had similar rates of infection to non-frail patients but were more prone to have MDR microorganisms as causative pathogens. The use of empirical therapy with large-spectrum antibiotics should be based on microbiological risk factors and not simply on the host characteristics.
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Affiliation(s)
- Iuri Correia
- Internal Medicine Department, Hospital Professor Doutor Fernando Fonseca, Amadora, PRT
- Palliative Medicine Unit, Hospital CUF Tejo, Lisbon, PRT
| | - Susana Fernandes
- Intensive Care Department, Hospital de Santa Maria, Lisbon, PRT
- Intensive Care University Clinic, Faculdade de Medicina da Universidade de Lisboa, Lisbon, PRT
| | - Mariana Bernardino
- Intensive Care University Clinic, Faculdade de Medicina da Universidade de Lisboa, Lisbon, PRT
| | - João Gonçalves Pereira
- Intensive Care Unit Department, Hospital de Vila Franca de Xira, Vila Franca de Xira, PRT
- Intensive Care University Clinic, Faculdade de Medicina da Universidade de Lisboa, Lisbon, PRT
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3
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Xu F, Xu J, Ma J, Xu W, Gu S, Lu G, Wang J. Early versus delayed enteral nutrition in ICU patients with sepsis: a propensity score-matched analysis based on the MIMIC-IV database. Front Nutr 2024; 11:1370472. [PMID: 38978696 PMCID: PMC11228309 DOI: 10.3389/fnut.2024.1370472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 06/05/2024] [Indexed: 07/10/2024] Open
Abstract
Background Early enteral nutrition (EN) is recommended for sepsis management, but its optimal timing and clinical benefits remain uncertain. This study evaluates whether early EN improves outcomes compared to delayed EN in patients with sepsis. Methods We analyzed data of septic patients from the MIMIC-IV 2.2 database, focusing on those in the Medical Intensive Care Unit (MICU) and Surgical Intensive Care Unit (SICU). Patients who initiated EN within 3 days were classified into the early EN group, while those who started EN between 3 and 7 days were classified into the delayed EN group. Propensity score matching was used to compare outcomes between the groups. Results Among 1,111 patients, 786 (70.7%) were in the early EN group and 325 (29.3%) were in the delayed EN group. Before propensity score matching, the early EN group demonstrated lower mortality (crude OR = 0.694; 95% CI: 0.514-0.936; p = 0.018) and shorter ICU stays (8.3 [5.2, 12.3] vs. 10.0 [7.5, 14.2] days; p < 0.001). After matching, no significant difference in mortality was observed. However, the early EN group had shorter ICU stays (8.3 [5.2, 12.4] vs. 10.1 [7.5, 14.2] days; p < 0.001) and a lower incidence of AKI stage 3 (49.3% vs. 55.5%; p = 0.030). Subgroup analysis revealed that early EN significantly reduced the 28-day mortality rate in sepsis patients with lactate levels ≤4 mmol/L, with an adjusted odds ratio (aOR) of 0.579 (95% CI: 0.361, 0.930; p = 0.024). Conclusion Early enteral nutrition may not significantly reduce overall mortality in sepsis patients but may shorten ICU stays and decrease the incidence of AKI stage 3. Further research is needed to identify specific patient characteristics that benefit most from early EN.
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Affiliation(s)
- Fuchao Xu
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing, China
| | - Jianxin Xu
- Department of Emergency Medicine, Drum Tower Hospital, Nanjing Medical University, Nanjing, China
| | - Jinjin Ma
- Department of Rehabilitation Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wenbo Xu
- Department of Rehabilitation Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shuangshuang Gu
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing, China
| | - Geng Lu
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing, China
| | - Jun Wang
- Department of Emergency Medicine, Nanjing Drum Tower Hospital, Nanjing, China
- Department of Emergency Medicine, Drum Tower Hospital, Nanjing Medical University, Nanjing, China
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Ramaswamy T, Sparling JL, Chang MG, Bittner EA. Ten misconceptions regarding decision-making in critical care. World J Crit Care Med 2024; 13:89644. [PMID: 38855268 PMCID: PMC11155500 DOI: 10.5492/wjccm.v13.i2.89644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/25/2024] [Accepted: 03/01/2024] [Indexed: 06/03/2024] Open
Abstract
Diagnostic errors are prevalent in critical care practice and are associated with patient harm and costs for providers and the healthcare system. Patient complexity, illness severity, and the urgency in initiating proper treatment all contribute to decision-making errors. Clinician-related factors such as fatigue, cognitive overload, and inexperience further interfere with effective decision-making. Cognitive science has provided insight into the clinical decision-making process that can be used to reduce error. This evidence-based review discusses ten common misconceptions regarding critical care decision-making. By understanding how practitioners make clinical decisions and examining how errors occur, strategies may be developed and implemented to decrease errors in Decision-making and improve patient outcomes.
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Affiliation(s)
- Tara Ramaswamy
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States
| | - Jamie L Sparling
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States
| | - Marvin G Chang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States
| | - Edward A Bittner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States
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Rhee C, Filbin MR. Can Procalcitonin and Other Biomarkers Help Rapidly Identify Sepsis Among Undifferentiated High-Risk Patients in the Emergency Department? Crit Care Med 2024; 52:979-982. [PMID: 38752815 DOI: 10.1097/ccm.0000000000006241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Affiliation(s)
- Chanu Rhee
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston MA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael R Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
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Albarracin Duarte JA, Chaparro Hernández J, Rojas Aceros JA, Valoyes Gélvez JE, Ascuntar J, Jaimes F. Association between early manifestations of infection or sepsis and prognosis in a high complexity hospital in the city of Medellín. REVISTA ESPANOLA DE ANESTESIOLOGIA Y REANIMACION 2024; 71:394-402. [PMID: 38588770 DOI: 10.1016/j.redare.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/07/2023] [Indexed: 04/10/2024]
Abstract
OBJECTIVE To identify the first symptoms and signs of patients with suspected infection or sepsis and their association with the composite outcome of admission to the Intensive Care Unit (ICU) or mortality. DESIGN Prospective cohort study between June 2019 and March 2020. SETTING Hospital Universitario San Vicente Fundación, Colombia. PATIENTS Over 18 years of age with suspicion or confirmation of sepsis, which required hospitalization. INTERVENTIONS None. MAIN VARIABLES OF INTEREST Symptoms and signs associated with infection, with their time of evolution, specified in the study. RESULTS From 1005 eligible patients, 261 were included. After multivariable adjustment with a logistic regression model, the main factors for ICU admission or mortality were heart rate (OR 1.04 with 95% CI 1.04-3.7), respiratory rate (OR 1.19 with 95% CI 1.0-1.4) and capillary refill time (OR 3.4 with 95% CI 1.9-6.1). CONCLUSIONS Heart rate, respiratory rate, and capillary refill may behave as early predictors of ICU admission and mortality in cases of sepsis.
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Affiliation(s)
| | | | | | | | - J Ascuntar
- Gerente en Sistemas de Información en Salud, GRAEPIC (Grupo Académico de Epidemiología Clínica), Universidad de Antioquia, Medellín, Colombia
| | - F Jaimes
- Médico Internista, Epidemiólogo y Doctor en Epidemiologia en Enfermedad Infecciosas, GRAEPIC (Grupo Académico de Epidemiología Clínica), Departamento de Medicina Interna, Universidad de Antioquia, Medellín, Colombia.
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Biebelberg B, Kehoe IE, Zheng H, O'Connell A, Filbin MR, Heldt T, Reisner AT. Atypical symptoms in emergency department patients with urosepsis challenge current urinary tract infection management guidelines. Acad Emerg Med 2024. [PMID: 38661262 DOI: 10.1111/acem.14914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/26/2024]
Affiliation(s)
- Brett Biebelberg
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Iain E Kehoe
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hui Zheng
- Massachusetts General Hospital Biostatistics Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Abigail O'Connell
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Michael R Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Thomas Heldt
- Institute for Medical Engineering and Science and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Andrew T Reisner
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
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Mohr NM, Young T, Vakkalanka JP, Carter KD, Shane DM, Ullrich F, Schuette AR, Mack LJ, DeJong K, Bell A, Pals M, Camargo CA, Zachrison KS, Boggs KM, Skibbe A, Ward MM. Provider-to-provider telehealth for sepsis patients in a cohort of rural emergency departments. Acad Emerg Med 2024; 31:326-338. [PMID: 38112033 DOI: 10.1111/acem.14857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Telehealth has been proposed as one strategy to improve the quality of time-sensitive sepsis care in rural emergency departments (EDs). The purpose of this study was to measure the association between telehealth-supplemented ED (tele-ED) care, health care costs, and clinical outcomes among patients with sepsis in rural EDs. METHODS Cohort study using Medicare fee-for-service claims data for beneficiaries treated for sepsis in rural EDs between February 1, 2017, and September 30, 2019. Our primary hospital-level analysis used multivariable generalized estimating equations to measure the association between treatment in a tele-ED-capable hospital and 30-day total costs of care. In our supporting secondary analysis, we conducted a propensity-matched analysis of patients who used tele-ED with matched controls from non-tele-ED-capable hospitals. Our primary outcome was total health care payments among index hospitalized patients between the index ED visit and 30 days after hospital discharge, and our secondary outcomes included hospital mortality, hospital length of stay, 90-day mortality, 28-day hospital-free days, and 30-day inpatient readmissions. RESULTS In our primary analysis, sepsis patients in tele-ED-capable hospitals had 6.7% higher (95% confidence interval [CI] 2.1%-11.5%) total health care costs compared to those in non-tele-ED-capable hospitals. In our propensity-matched patient-level analysis, total health care costs were 23% higher (95% CI 16.5%-30.4%) in tele-ED cases than matched non-tele-ED controls. Clinical outcomes were similar. CONCLUSIONS Tele-ED capability in a mature rural tele-ED network was not associated with decreased health care costs or improved clinical outcomes. Future work is needed to reduce rural-urban sepsis care disparities and formalize systems of regionalized care.
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Affiliation(s)
- Nicholas M Mohr
- Departments of Emergency Medicine, Anesthesia, and Epidemiology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Tracy Young
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - J Priyanka Vakkalanka
- Departments of Emergency Medicine and Epidemiology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Knute D Carter
- Department of Biostatistics, University of Iowa College of Public Health, Iowa City, Iowa, USA
| | - Dan M Shane
- Department of Health Management and Policy, University of Iowa College of Public Health, Iowa City, Iowa, USA
| | - Fred Ullrich
- Department of Health Management and Policy, University of Iowa College of Public Health, Iowa City, Iowa, USA
| | | | - Luke J Mack
- Department of Family Medicine, University of South Dakota Sanford School of Medicine, Sioux Falls, South Dakota, USA
- Avel eCARE, Sioux Falls, South Dakota, USA
| | | | | | - Mark Pals
- Avel eCARE, Sioux Falls, South Dakota, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Kori S Zachrison
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Krislyn M Boggs
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Adam Skibbe
- Department of Geography, University of Iowa College of Liberal Arts and Sciences, Iowa City, Iowa, USA
| | - Marcia M Ward
- Department of Health Management and Policy, University of Iowa College of Public Health, Iowa City, Iowa, USA
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Prasad PA, Esmaili AM, Oreper S, Beagle AJ, Hubbard C, Raffel KE, Abe‐Jones Y, Fang MC, Liu KD, Matthay MA, Kangelaris KN. Timing of antibiotic treatment identifies distinct clinical presentations among patients presenting with suspected septic shock. J Am Coll Emerg Physicians Open 2024; 5:e13149. [PMID: 38596320 PMCID: PMC11002635 DOI: 10.1002/emp2.13149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/23/2024] [Accepted: 03/04/2024] [Indexed: 04/11/2024] Open
Abstract
Objective Recent clinical guidelines for sepsis management emphasize immediate antibiotic initiation for suspected septic shock. Though hypotension is a high-risk marker of sepsis severity, prior studies have not considered the precise timing of hypotension in relation to antibiotic initiation and how clinical characteristics and outcomes may differ. Our objective was to evaluate antibiotic initiation in relation to hypotension to characterize differences in sepsis presentation and outcomes in patients with suspected septic shock. Methods Adults presenting to the emergency department (ED) June 2012-December 2018 diagnosed with sepsis (Sepsis-III electronic health record [EHR] criteria) and hypotension (non-resolving for ≥30 min, systolic blood pressure <90 mmHg) within 24 h. We categorized patients who received antibiotics before hypotension ("early"), 0-60 min after ("immediate"), and >60 min after ("late") treatment. Results Among 2219 patients, 55% received early treatment, 13% immediate, and 32% late. The late subgroup often presented to the ED with hypotension (median 0 min) but received antibiotics a median of 191 min post-ED presentation. Clinical characteristics notable for this subgroup included higher prevalence of heart failure and liver disease (p < 0.05) and later onset of systemic inflammatory response syndrome (SIRS) criteria compared to early/immediate treatment subgroups (median 87 vs. 35 vs. 20 min, p < 0.0001). After adjustment, there was no difference in clinical outcomes among treatment subgroups. Conclusions There was significant heterogeneity in presentation and timing of antibiotic initiation for suspected septic shock. Patients with later treatment commonly had hypotension on presentation, had more hypotension-associated comorbidities, and developed overt markers of infection (eg, SIRS) later. While these factors likely contribute to delays in clinician recognition of suspected septic shock, it may not impact sepsis outcomes.
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Affiliation(s)
- Priya A. Prasad
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Armond M. Esmaili
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Sandra Oreper
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Colin Hubbard
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Katie E. Raffel
- Division of Hospital MedicineSchool of MedicineUniversity of ColoradoDenverColoradoUSA
| | - Yumiko Abe‐Jones
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Margaret C. Fang
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Kathleen D. Liu
- Division of Pulmonary and Critical Care MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Division of NephrologyDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Michael A. Matthay
- Division of Pulmonary and Critical Care MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Cardiovascular Research InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Kirsten N. Kangelaris
- Division of Hospital MedicineDepartment of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
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Rhee C, Strich JR, Chiotos K, Classen DC, Cosgrove SE, Greeno R, Heil EL, Kadri SS, Kalil AC, Gilbert DN, Masur H, Septimus EJ, Sweeney DA, Terry A, Winslow DL, Yealy DM, Klompas M. Improving Sepsis Outcomes in the Era of Pay-for-Performance and Electronic Quality Measures: A Joint IDSA/ACEP/PIDS/SHEA/SHM/SIDP Position Paper. Clin Infect Dis 2024; 78:505-513. [PMID: 37831591 DOI: 10.1093/cid/ciad447] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Indexed: 10/15/2023] Open
Abstract
The Centers for Medicare & Medicaid Services (CMS) introduced the Severe Sepsis/Septic Shock Management Bundle (SEP-1) as a pay-for-reporting measure in 2015 and is now planning to make it a pay-for-performance measure by incorporating it into the Hospital Value-Based Purchasing Program. This joint IDSA/ACEP/PIDS/SHEA/SHM/SIPD position paper highlights concerns with this change. Multiple studies indicate that SEP-1 implementation was associated with increased broad-spectrum antibiotic use, lactate measurements, and aggressive fluid resuscitation for patients with suspected sepsis but not with decreased mortality rates. Increased focus on SEP-1 risks further diverting attention and resources from more effective measures and comprehensive sepsis care. We recommend retiring SEP-1 rather than using it in a payment model and shifting instead to new sepsis metrics that focus on patient outcomes. CMS is developing a community-onset sepsis 30-day mortality electronic clinical quality measure (eCQM) that is an important step in this direction. The eCQM preliminarily identifies sepsis using systemic inflammatory response syndrome (SIRS) criteria, antibiotic administrations or diagnosis codes for infection or sepsis, and clinical indicators of acute organ dysfunction. We support the eCQM but recommend removing SIRS criteria and diagnosis codes to streamline implementation, decrease variability between hospitals, maintain vigilance for patients with sepsis but without SIRS, and avoid promoting antibiotic use in uninfected patients with SIRS. We further advocate for CMS to harmonize the eCQM with the Centers for Disease Control and Prevention's (CDC) Adult Sepsis Event surveillance metric to promote unity in federal measures, decrease reporting burden for hospitals, and facilitate shared prevention initiatives. These steps will result in a more robust measure that will encourage hospitals to pay more attention to the full breadth of sepsis care, stimulate new innovations in diagnosis and treatment, and ultimately bring us closer to our shared goal of improving outcomes for patients.
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Affiliation(s)
- Chanu Rhee
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jeffrey R Strich
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Kathleen Chiotos
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - David C Classen
- Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Sara E Cosgrove
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ron Greeno
- Society of Hospital Medicine, Philadelphia, Pennsylvania, USA
| | - Emily L Heil
- Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA
| | - Sameer S Kadri
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Andre C Kalil
- Division of Infectious Diseases, Department of Internal Medicine, University of Nebraska School of Medicine, Omaha, Nebraska, USA
| | - David N Gilbert
- Division of Infectious Diseases, Department of Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Henry Masur
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Edward J Septimus
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Internal Medicine, Texas A&M College of Medicine, Houston, Texas, USA
| | - Daniel A Sweeney
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Diego School of Medicine, San Diego, California, USA
| | - Aisha Terry
- Department of Emergency Medicine, George Washington University School of Medicine, Washington D.C., USA
| | - Dean L Winslow
- Division of Infectious Diseases, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Donald M Yealy
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Michael Klompas
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Newey C, Skaar JR, O'Hara M, Miao B, Post A, Kelly T. Systematic Literature Review of the Association of Fever and Elevated Temperature with Outcomes in Critically Ill Adult Patients. Ther Hypothermia Temp Manag 2024; 14:10-23. [PMID: 37158862 DOI: 10.1089/ther.2023.0004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
Although most commonly associated with infection, elevated temperature and fever also occur in a variety of critically ill populations. Prior studies have suggested that fever and elevated temperature may be detrimental to critically ill patients and can lead to poor outcomes, but the evidence surrounding the association of fever with outcomes is rapidly evolving. To broadly assess potential associations of elevated temperature and fever with outcomes in critically ill adult patients, we performed a systematic literature review focusing on traumatic brain injury, stroke (ischemic and hemorrhagic), cardiac arrest, sepsis, and general intensive care unit (ICU) patients. Searches were conducted in Embase® and PubMed® from 2016 to 2021, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, including dual-screening of abstracts, full texts, and extracted data. In total, 60 studies assessing traumatic brain injury and stroke (24), cardiac arrest (8), sepsis (22), and general ICU (6) patients were included. Mortality, functional, or neurological status and length of stay were the most frequently reported outcomes. Elevated temperature and fever were associated with poor clinical outcomes in patients with traumatic brain injury, stroke, and cardiac arrest but not in patients with sepsis. Although a causal relationship between elevated temperature and poor outcomes cannot be definitively established, the association observed in this systematic literature review supports the concept that management of elevated temperature may factor in avoidance of detrimental outcomes in multiple critically ill populations. The analysis also highlights gaps in our understanding of fever and elevated temperature in critically ill adult patients.
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Affiliation(s)
- Christopher Newey
- Department of Neurocritical Care, Sanford USD Medical Center, Sioux Falls, South Dakota, USA
| | | | | | | | - Andrew Post
- Trinity Life Sciences, Waltham, Massachusetts, USA
| | - Tim Kelly
- Becton Dickinson, Franklin Lakes, New Jersey, USA
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12
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Oud L, Garza J. Previously healthy adults among septic patients: Population-level epidemiology and outcomes. J Crit Care 2024; 79:154427. [PMID: 37717361 DOI: 10.1016/j.jcrc.2023.154427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/23/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023]
Abstract
PURPOSE Previously healthy adults with community-onset sepsis were recently reported to have, counterintuitively, higher short-term mortality than those with comorbid conditions. However, the population-level generalizability of this finding and its applicability to all hospitalized septic patients are unclear. METHODS We used a statewide dataset to identify hospitalizations aged ≥18 years with a diagnosis of sepsis in Texas during 2018-2019. Comorbidities were defined as those included in the Charlson Comorbidity Index and other prevalent conditions associated with mortality. Hierarchical models were used to estimate the association of comorbid state with short-term mortality (defined as in-hospital mortality or discharge to hospice), overall and in community-onset and hospital-onset sepsis. RESULTS Among 120,371 sepsis hospitalizations, 6611 (5.5%) were previously healthy and 105,455 (87.6%) had community-onset sepsis. Short-term mortality among the previously healthy and those with comorbidities was 11.7% vs 28.2% overall, 11.0% vs 25.2% in community-onset sepsis, and 22.0% vs 48.7% in hospital-onset sepsis, respectively. On adjusted analysis, being previously healthy remained associated with lower short-term mortality overall (adjusted odds ratio 0.62 [95% CI 0.57-0.69]), with findings consistent with the primary analysis in community-onset sepsis, hospital-onset sepsis. CONCLUSIONS Previously healthy septic patients had lower short-term mortality compared to those with comorbid conditions.
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Affiliation(s)
- Lavi Oud
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Texas Tech University Health Sciences Center at the Permian Basin, 701 W. 5(th) Street, Odessa, TX 79763, United States.
| | - John Garza
- Texas Tech University Health Sciences Center at the Permian Basin, 701 W. 5(th) Street, Odessa, TX 79763, United States; Department of Mathematics, The University of Texas of the Permian Basin, 4901 E. University Blvd, Odessa, TX 79762, United States
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13
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Leisman DE, Deng H, Lee AH, Flynn MH, Rutkey H, Copenhaver MS, Gay EA, Dutta S, McEvoy DS, Dunham LN, Mort EA, Lucier DJ, Sonis JD, Aaronson EL, Hibbert KA, Safavi KC. Effect of Automated Real-Time Feedback on Early-Sepsis Care: A Pragmatic Clinical Trial. Crit Care Med 2024; 52:210-222. [PMID: 38088767 DOI: 10.1097/ccm.0000000000006057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
OBJECTIVES To determine if a real-time monitoring system with automated clinician alerts improves 3-hour sepsis bundle adherence. DESIGN Prospective, pragmatic clinical trial. Allocation alternated every 7 days. SETTING Quaternary hospital from December 1, 2020 to November 30, 2021. PATIENTS Adult emergency department or inpatients meeting objective sepsis criteria triggered an electronic medical record (EMR)-embedded best practice advisory. Enrollment occurred when clinicians acknowledged the advisory indicating they felt sepsis was likely. INTERVENTION Real-time automated EMR monitoring identified suspected sepsis patients with incomplete bundle measures within 1-hour of completion deadlines and generated reminder pages. Clinicians responsible for intervention group patients received reminder pages; no pages were sent for controls. The primary analysis cohort was the subset of enrolled patients at risk of bundle nonadherent care that had reminder pages generated. MEASUREMENTS AND MAIN RESULTS The primary outcome was orders for all 3-hour bundle elements within guideline time limits. Secondary outcomes included guideline-adherent delivery of all 3-hour bundle elements, 28-day mortality, antibiotic discontinuation within 48-hours, and pathogen recovery from any culture within 7 days of time-zero. Among 3,269 enrolled patients, 1,377 had reminder pages generated and were included in the primary analysis. There were 670 (48.7%) at-risk patients randomized to paging alerts and 707 (51.3%) to control. Bundle-adherent orders were placed for 198 intervention patients (29.6%) versus 149 (21.1%) controls (difference: 8.5%; 95% CI, 3.9-13.1%; p = 0.0003). Bundle-adherent care was delivered for 152 (22.7%) intervention versus 121 (17.1%) control patients (difference: 5.6%; 95% CI, 1.4-9.8%; p = 0.0095). Mortality was similar between groups (8.4% vs 8.3%), as were early antibiotic discontinuation (35.1% vs 33.4%) and pan-culture negativity (69.0% vs 68.2%). CONCLUSIONS Real-time monitoring and paging alerts significantly increased orders for and delivery of guideline-adherent care for suspected sepsis patients at risk of 3-hour bundle nonadherence. The trial was underpowered to determine whether adherence affected mortality. Despite enrolling patients with clinically suspected sepsis, early antibiotic discontinuation and pan-culture negativity were common, highlighting challenges in identifying appropriate patients for sepsis bundle application.
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Affiliation(s)
- Daniel E Leisman
- Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Hao Deng
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Andy H Lee
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA
| | - Micah H Flynn
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Hayley Rutkey
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Martin S Copenhaver
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
- Healthcare Systems Engineering, Massachusetts General Hospital, Boston, MA
| | - Elizabeth A Gay
- Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Sayon Dutta
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA
- Mass General Brigham Digital, Mass General Brigham Health System, Sommerville, MA
| | - Dustin S McEvoy
- Mass General Brigham Digital, Mass General Brigham Health System, Sommerville, MA
| | - Lisette N Dunham
- Mass General Brigham Digital, Mass General Brigham Health System, Sommerville, MA
| | - Elizabeth A Mort
- Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - David J Lucier
- Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Jonathan D Sonis
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA
| | - Emily L Aaronson
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA
| | - Kathryn A Hibbert
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Kyan C Safavi
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
- Healthcare Systems Engineering, Massachusetts General Hospital, Boston, MA
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14
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Shu Q, Du Y, She H, Mo J, Zhu Z, Zhong L, He F, Fan J, Zhu J. Construction and validation of a mitochondria-associated genes prognostic signature and immune microenvironment characteristic of sepsis. Int Immunopharmacol 2024; 126:111275. [PMID: 37995567 DOI: 10.1016/j.intimp.2023.111275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/17/2023] [Accepted: 11/19/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Sepsis is a common critical condition seen in clinical settings, with mitochondrial dysfunction playing an important role in the progression of sepsis. However, a mitochondrial prognosis model related to sepsis has not been established yet, and the relationship between the sepsis immune microenvironment and mitochondria remains unclear. METHODS Sepsis prognostic mitochondria-associated genes (MiAGs) were screened by univariate Cox, multivariate Cox, and LASSO analysis from the GEO dataset. Consensus Cluster was used to analyze MiAGs-based molecular subtypes for sepsis. The ESTIMATE and ssGSEA algorithms were used to analyze the situation of sepsis immune cell infiltration and its relation to MiAGs. Further, MiAGs score was calculated to construct a sepsis prognosis risk model to predict the prognosis of sepsis patients. Clinical blood samples were used to investigate the expression level of selected MiAGs in sepsis. Single-cell sequencing analysis, mitochondrial membrane potential (MMP), reactive oxygen species (ROS), and ATP detection were used to verify the influence of MiAGs on mitochondrial dysfunction in sepsis. RESULTS A total of 5 MiAGs of sepsis were screened. Based on MiAGs, sepsis MiAGs subtypes were analyzed, where Cluster A had a better prognosis than Cluster B, and there were significant differences in immune infiltration between the two clusters. The sepsis mitochondrial prognosis model suggested that the high MiAG score group had a shorter survival time compared to the low MiAG score group. Significant differences were also observed in the immune microenvironment between the high and low MiAG score groups. Prognostic analysis and the Nomogram indicated that the MiAG score is an independent prognostic factor in sepsis. Single-cell sequencing analysis exhibited the possible influence of MiAGs on the mitochondrial function of monocytes. Finally, the downregulation of the COX7B could effectively improve mitochondrial function in the LPS-stimulated sepsis model. CONCLUSION Our findings suggest that MiAGs can be used to predict the prognosis of sepsis and that regulating the mitochondrial prognostic gene COX7B can effectively improve the mitochondrial function of immune cells in sepsis.
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Affiliation(s)
- Qi Shu
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Yuanlin Du
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Han She
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Jiaping Mo
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Zhenjie Zhu
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Like Zhong
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Fugen He
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
| | - Jingsheng Fan
- Department of Anesthesiology, Dongnan Hospital, Chongqing, China.
| | - Junfeng Zhu
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
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Pak TR, Young J, McKenna CS, Agan A, DelloStritto L, Filbin MR, Dutta S, Kadri SS, Septimus EJ, Rhee C, Klompas M. Risk of Misleading Conclusions in Observational Studies of Time-to-Antibiotics and Mortality in Suspected Sepsis. Clin Infect Dis 2023; 77:1534-1543. [PMID: 37531612 PMCID: PMC10686960 DOI: 10.1093/cid/ciad450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/20/2023] [Accepted: 07/31/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND Influential studies conclude that each hour until antibiotics increases mortality in sepsis. However, these analyses often (1) adjusted for limited covariates, (2) included patients with long delays until antibiotics, (3) combined sepsis and septic shock, and (4) used linear models presuming each hour delay has equal impact. We evaluated the effect of these analytic choices on associations between time-to-antibiotics and mortality. METHODS We retrospectively identified 104 248 adults admitted to 5 hospitals from 2015-2022 with suspected infection (blood culture collection and intravenous antibiotics ≤24 h of arrival), including 25 990 with suspected septic shock and 23 619 with sepsis without shock. We used multivariable regression to calculate associations between time-to-antibiotics and in-hospital mortality under successively broader confounding-adjustment, shorter maximum time-to-antibiotic intervals, stratification by illness severity, and removing assumptions of linear hourly associations. RESULTS Changing covariates, maximum time-to-antibiotics, and severity stratification altered the magnitude, direction, and significance of observed associations between time-to-antibiotics and mortality. In a fully adjusted model of patients treated ≤6 hours, each hour was associated with higher mortality for septic shock (adjusted odds ratio [aOR]: 1.07; 95% CI: 1.04-1.11) but not sepsis without shock (aOR: 1.03; .98-1.09) or suspected infection alone (aOR: .99; .94-1.05). Modeling each hour separately confirmed that every hour of delay was associated with increased mortality for septic shock, but only delays >6 hours were associated with higher mortality for sepsis without shock. CONCLUSIONS Associations between time-to-antibiotics and mortality in sepsis are highly sensitive to analytic choices. Failure to adequately address these issues can generate misleading conclusions.
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Affiliation(s)
- Theodore R Pak
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jessica Young
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
| | - Caroline S McKenna
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
| | - Anna Agan
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
| | - Laura DelloStritto
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
| | - Michael R Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sayon Dutta
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sameer S Kadri
- Critical Care Medicine, National Institutes of Health Clinical Center, Bethesda, Maryland, USA
| | - Edward J Septimus
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
| | - Chanu Rhee
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Michael Klompas
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Prasad V, Aydemir B, Kehoe IE, Kotturesh C, O’Connell A, Biebelberg B, Wang Y, Lynch JC, Pepino JA, Filbin MR, Heldt T, Reisner AT. Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection. PLOS DIGITAL HEALTH 2023; 2:e0000365. [PMID: 37910497 PMCID: PMC10619833 DOI: 10.1371/journal.pdig.0000365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 09/11/2023] [Indexed: 11/03/2023]
Abstract
Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to suspect illness and fail to order appropriate tests. Depending on how such algorithms handle missing data, they could even indicate "low risk" simply because the testing data were never ordered. We considered predictive methodologies to identify sepsis at triage, before diagnostic tests are ordered, in a busy Emergency Department (ED). One algorithm used "bland clinical data" (data available at triage for nearly every patient). The second algorithm added three yes/no questions to be answered after the triage interview. Retrospectively, we studied adult patients from a single ED between 2014-16, separated into training (70%) and testing (30%) cohorts, and a final validation cohort of patients from four EDs between 2016-2018. Sepsis was defined per the Rhee criteria. Investigational predictors were demographics and triage vital signs (downloaded from the hospital EMR); past medical history; and the auxiliary queries (answered by chart reviewers who were blinded to all data except the triage note and initial HPI). We developed L2-regularized logistic regression models using a greedy forward feature selection. There were 1164, 499, and 784 patients in the training, testing, and validation cohorts, respectively. The bland clinical data model yielded ROC AUC's 0.78 (0.76-0.81) and 0.77 (0.73-0.81), for training and testing, respectively, and ranged from 0.74-0.79 in four hospital validation. The second model which included auxiliary queries yielded 0.84 (0.82-0.87) and 0.83 (0.79-0.86), and ranged from 0.78-0.83 in four hospital validation. The first algorithm did not require clinician input but yielded middling performance. The second showed a trend towards superior performance, though required additional user effort. These methods are alternatives to predictive algorithms downstream of clinical evaluation and diagnostic testing. For hospital early warning algorithms, consideration should be given to bias and usability of various methods.
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Affiliation(s)
- Varesh Prasad
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Baturay Aydemir
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Iain E. Kehoe
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Chaya Kotturesh
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Abigail O’Connell
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Brett Biebelberg
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Yang Wang
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - James C. Lynch
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Jeremy A. Pepino
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Michael R. Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Thomas Heldt
- Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Andrew T. Reisner
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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Zhang T, Lian G, Fang W, Tian L, Ma W, Zhang J, Meng Z, Yang H, Wang C, Wei C, Chen M. Comprehensive single-cell analysis reveals novel anergic antigen-presenting cell subtypes in human sepsis. Front Immunol 2023; 14:1257572. [PMID: 37781404 PMCID: PMC10538568 DOI: 10.3389/fimmu.2023.1257572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 08/21/2023] [Indexed: 10/03/2023] Open
Abstract
Background Sepsis is a life-threatening condition with high mortality. A few studies have emerged utilizing single-cell RNA sequencing (scRNA-seq) to analyze gene expression at the single-cell resolution in sepsis, but a comprehensive high-resolution analysis of blood antigen-presenting cells has not been conducted. Methods All published human scRNA-seq data were downloaded from the single cell portal database. After manually curating the dataset, we extracted all antigen-presenting cells, including dendritic cells (DCs) and monocytes, for identification of cell subpopulations and their gene profiling and intercellular interactions between septic patients and healthy controls. Finally, we further validated the findings by performing deconvolution analysis on bulk RNA sequencing (RNA-seq) data and flow cytometry. Results Within the traditional DC populations, we discovered novel anergic DC subtypes characterized by low major histocompatibility complex class II expression. Notably, these anergic DC subtypes showed a significant increase in septic patients. Additionally, we found that a previously reported immunosuppressive monocyte subtype, Mono1, exhibited a similar gene expression profile to these anergic DCs. The consistency of our findings was confirmed through validation using bulk RNA-seq and flow cytometry, ensuring accurate identification of cell subtypes and gene expression patterns. Conclusions This study represents the first comprehensive single-cell analysis of antigen-presenting cells in human sepsis, revealing novel disease-associated anergic DC subtypes. These findings provide new insights into the cellular mechanisms of immune dysregulation in bacterial sepsis.
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Affiliation(s)
- Tuo Zhang
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Guodong Lian
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Wei Fang
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Lei Tian
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Wenhao Ma
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Jicheng Zhang
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Zhaoli Meng
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Hongna Yang
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Chunting Wang
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Chengguo Wei
- Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Man Chen
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Critical Care Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
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Huang J, Yang JT, Liu JC. The association between mortality and door-to-antibiotic time: a systematic review and meta-analysis. Postgrad Med J 2023; 99:1000-1007. [PMID: 36917816 DOI: 10.1093/postmj/qgad024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/03/2023] [Accepted: 02/10/2023] [Indexed: 03/16/2023]
Abstract
PURPOSE Previous studies evaluating the impact of antibiotic timing on mortality in sepsis have shown conflicting results. We performed a meta-analysis to evaluate the association between door-to-antibiotic time (each hour of delay) and mortality in sepsis. METHODS We searched PubMed and Embase through 10 November 2022 to identity cohort studies that evaluated the adjusted association between door-to-antibiotic time (each hour of delay) and mortality in adult patients with sepsis. The primary outcome was mortality. Analysis was based on inverse-variance weighting using a fixed-effects model. The variances were derived from the logarithms of the reported confidence intervals (CIs) for associations. We estimated the odds ratio, 95% CI, and number needed to treat for the pooled data. RESULTS Fifteen cohort studies involving 106 845 patients were included in the meta-analysis. Door-to-antibiotic time (each hour of delay) was associated with increased risk of mortality (odds ratio: 1.07; 95% CI: 1.06-1.08; P < 0.0001; number needed to treat = 91), with high heterogeneity (I2 = 82.2%). The association was robust in sensitivity analyses and consistent in subgroup analyses. No publication bias was found. CONCLUSION In adult patients with sepsis, each hour of delay in antibiotic administration is associated with increased odds of mortality. Key messages What is already known on this topic Sepsis is a common and lethal syndrome that affects millions of people worldwide. The updated 2018 Surviving Sepsis Campaign guidelines recommended initiating empirical broad-spectrum antibiotic coverage within 1 hour of identification of sepsis and septic shock. Delay in antibiotic administration may increase the risk of mortality in patients with sepsis. What this study adds This meta-analysis evaluates and quantifies the association between door-to-antibiotic time (each hour of delay) and mortality in patients with sepsis. Each hour of delay in antibiotic administration is associated with increased odds of mortality in sepsis. The number needed to treat (NNT) with delayed antibiotic administration for one additional death was 91. How this study might affect research, practice, or policy: More efforts should be made to speed up the diagnosis of sepsis or sepsis shock.
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Affiliation(s)
- Jiao Huang
- Department of Anesthesiology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China
| | - Jiang-Tao Yang
- Department of Orthopedics, Guangxi Traditional Chinese Medical University Affiliated First Hospital, Nanning 530021, China
| | - Jing-Chen Liu
- Department of Anesthesiology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China
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Schertz AR, Eisner AE, Smith SA, Lenoir KM, Thomas KW. Clinical Phenotypes of Sepsis in a Cohort of Hospitalized Patients According to Infection Site. Crit Care Explor 2023; 5:e0955. [PMID: 37614801 PMCID: PMC10443761 DOI: 10.1097/cce.0000000000000955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023] Open
Abstract
OBJECTIVES Clinical sepsis phenotypes may be defined by a wide range of characteristics such as site of infection, organ dysfunction patterns, laboratory values, and demographics. There is a paucity of literature regarding the impact of site of infection on the timing and pattern of clinical sepsis markers. This study hypothesizes that important phenotypic variation in clinical markers and outcomes of sepsis exists when stratified by infection site. DESIGN Retrospective cohort study. SETTING Five hospitals within the Wake Forest Health System from June 2019 to December 2019. PATIENTS Six thousand seven hundred fifty-three hospitalized adults with a discharge International Classification of Diseases, 10th Revision code for acute infection who met systemic inflammatory response syndrome (SIRS), quick Sepsis-related Organ Failure Assessment (qSOFA), or Sequential Organ Failure Assessment (SOFA) criteria during the index hospitalization. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS The primary outcome of interest was a composite of 30-day mortality or shock. Infection site was determined by a two-reviewer process. Significant demographic, vital sign, and laboratory result differences were seen across all infection sites. For the composite outcome of shock or 30-day mortality, unknown or unspecified infections had the highest proportion (21.34%) and CNS infections had the lowest proportion (8.11%). Respiratory, vascular, and unknown or unspecified infection sites showed a significantly increased adjusted and unadjusted odds of the composite outcome as compared with the other infection sites except CNS. Hospital time prior to SIRS positivity was shortest in unknown or unspecified infections at a median of 0.88 hours (interquartile range [IQR], 0.22-5.05 hr), and hospital time prior to qSOFA and SOFA positivity was shortest in respiratory infections at a median of 54.83 hours (IQR, 9.55-104.67 hr) and 1.88 hours (IQR, 0.47-17.40 hr), respectively. CONCLUSIONS Phenotypic variation in illness severity and mortality exists when stratified by infection site. There is a significantly higher adjusted and unadjusted odds of the composite outcome of 30-day mortality or shock in respiratory, vascular, and unknown or unspecified infections as compared with other sites.
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Affiliation(s)
- Adam R Schertz
- Department of Internal Medicine, Section of Pulmonology, Critical Care, Allergy & Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Ashley E Eisner
- Department of Internal Medicine, Section of Pulmonology, Critical Care, Allergy & Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Sydney A Smith
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Kristin M Lenoir
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Karl W Thomas
- Department of Internal Medicine, Section of Pulmonology, Critical Care, Allergy & Immunologic Diseases, Wake Forest University School of Medicine, Winston-Salem, NC
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Lafon T, Baisse A, Karam HH, Organista A, Boury M, Otranto M, Blanchet A, Daix T, François B, Vignon P. SEPSIS UNIT IN THE EMERGENCY DEPARTMENT: IMPACT ON MANAGEMENT AND OUTCOME OF SEPTIC PATIENTS. Shock 2023; 60:157-162. [PMID: 37314202 DOI: 10.1097/shk.0000000000002155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
ABSTRACT Study hypothesis : Implementation of a new pathway dedicated to septic patients within the emergency department (ED) would improve early management, organ dysfunction, and outcome. Methods: During phase 1, all consecutive adult patients with infection and qualifying quick Sequential Organ Failure Assessment (qSOFA) score upon ED admission were managed according to standards of care. A multifaceted intervention was then performed (implementation phase): educational program, creation of a sepsis alert upon ED admission incorporated in the professional software, together with severity scores and Surviving Sepsis Campaign (SSC) bundle reminders, and dedication of two rooms to the management of septic patients (sepsis unit). During phase 2, patients were managed according to this new organization. Results: Of the 89,040 patients admitted to the ED over the two phases, 2,643 patients (3.2%) had sepsis including 277 with a qualifying qSOFA score on admission (phase 1, 141 patients; phase 2, 136 patients). Recommendations of SSC 3-h bundle significantly improved between the two periods regarding lactate measurement (87% vs. 96%, P = 0.006), initiation of fluid resuscitation (36% vs. 65%, P < 0.001), blood cultures sampling (83% vs. 93%, P = 0.014), and administration of antibiotics (18% vs. 46%, P < 0.001). The Sequential Organ Failure Assessment score between H0 and H12 varied significantly more during phase 2 (1.9 ± 1.9 vs. 0.8 ± 2.6, P < 0.001). Mortality significantly decreased during the second phase, on day 3 (28% vs. 15%, P = 0.008) and on day 28 (40% vs. 28%, P = 0.013). Conclusion: Systematic detection, education, and per protocol organization with a sepsis unit dedicated to the early management of septic patients appear to improve compliance with SSC bundles, organ dysfunction, and short-term mortality. These results warrant to be confirmed by prospective studies.
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Affiliation(s)
| | - Arthur Baisse
- Emergency Department, Limoges University Hospital Center, Limoges, France
| | - Henry Hani Karam
- Emergency Department, Limoges University Hospital Center, Limoges, France
| | | | - Marion Boury
- Emergency Department, Limoges University Hospital Center, Limoges, France
| | - Marcela Otranto
- Emergency Department, Limoges University Hospital Center, Limoges, France
| | - Aloïse Blanchet
- Emergency Department, Limoges University Hospital Center, Limoges, France
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21
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Adelman MW, Septimus EJ, Arias CA. The Accuracy of Infection Diagnoses Among Patients Meeting Sepsis-3 Criteria in the Emergency Department. Clin Infect Dis 2023; 77:327. [PMID: 37092701 PMCID: PMC10371302 DOI: 10.1093/cid/ciad240] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 03/16/2023] [Accepted: 04/19/2023] [Indexed: 04/25/2023] Open
Affiliation(s)
- Max W Adelman
- Division of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Center for Infectious Diseases, Houston Methodist Research Institute, Houston, Texas, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Houston Methodist Hospital, Houston, Texas, USA
| | - Edward J Septimus
- Division of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Texas A&M College of Medicine, Houston, Texas, USA
| | - Cesar A Arias
- Division of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Center for Infectious Diseases, Houston Methodist Research Institute, Houston, Texas, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
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22
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Baisse A, Parreau S, Dumonteil S, Organista A, Alais M, Ouradou V, Piras R, Vignon P, Lafon T. Unexplained hypothermia is associated with bacterial infection in the Emergency Department. Am J Emerg Med 2023; 71:134-138. [PMID: 37392512 DOI: 10.1016/j.ajem.2023.06.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/12/2023] [Accepted: 06/20/2023] [Indexed: 07/03/2023] Open
Abstract
BACKGROUND Early recognition and antibiotic therapy improve the prognosis of bacterial infections. Triage temperature in the Emergency department (ED) constitutes a diagnostic and prognostic marker of infection. The objective of this study was to assess the prevalence of community-acquired bacterial infections and the diagnostic ability of conventional biological markers in patients presenting to the ED with hypothermia. METHODS We conducted a retrospective single-center study over a 1-year period before the COVID-19 pandemic. Consecutive adult patients admitted to the ED with hypothermia (body temperature < 36.0 °C) were eligible. Patients with evident cause of hypothermia and patients with viral infections were excluded. Diagnosis of infection was based on the presence of at least two among the three following pre-defined criteria: (i) the presence of a potential source of infection, (ii) microbiology data, and (iii) patient outcome under antibiotic therapy. The association between traditional biomarkers (white blood cells, lymphocytes, C-reactive protein [CRP], Neutrophil to Lymphocyte Count Ratio [NLCR]) and underlying bacterial infections was evaluated using a univariate and a multivariate (logistic regression) analysis. Receiver operating characteristic curves were built to determine threshold values yielding the best sensitivity and specificity for each biomarker. RESULTS Of 490 patients admitted to the ED with hypothermia during the study period, 281 were excluded for circumstantial or viral origin, and 209 were finally studied (108 men; mean age: 73 ± 17 years). A bacterial infection was diagnosed in 59 patients (28%) and was mostly related to Gram-negative microorganisms (68%). The area under the curve (AUC) for the CRP level was 0.82 with a confidence interval (CI) ranging from 0.75 to 0.89. The AUC for the leukocyte, neutrophil and lymphocyte counts were 0.54 (CI: 0.45-0.64), 0.58 (CI: 0.48-0.68) and 0.74 (CI: 0.66-0.82), respectively. The AUC of NLCR and quick Sequential Organ Failure Assessment (qSOFA) reached 0.70 (CI: 0.61-0.79) and 0.61 (CI: 0.52-0.70), respectively. In the multivariate analysis, CRP ≥ 50 mg/L (OR: 9.39; 95% CI: 3.91-24.14; p < 0.01) and a NLCR ≥10 (OR: 2.73; 95% CI: 1.20-6.12; p = 0.02) were identified as independent variables associated with the diagnosis of underlying bacterial infection. CONCLUSION Community-acquired bacterial infections represent one third of diagnoses in an unselected population presenting to the ED with unexplained hypothermia. CRP level and NLCR appear useful for the diagnosis of causative bacterial infection.
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Affiliation(s)
- Arthur Baisse
- Emergency Department, Limoges University Hospital Center, F-87042 Limoges, France
| | - Simon Parreau
- Department of Internal Medicine, Limoges University Hospital Center, F-87042 Limoges, France
| | - Stéphanie Dumonteil
- Department of Internal Medicine, Limoges University Hospital Center, F-87042 Limoges, France
| | - Alexandre Organista
- Emergency Department, Limoges University Hospital Center, F-87042 Limoges, France
| | - Mathilde Alais
- Emergency Department, Limoges University Hospital Center, F-87042 Limoges, France
| | - Vincent Ouradou
- Emergency Department, Limoges University Hospital Center, F-87042 Limoges, France
| | - Rafaela Piras
- Emergency Department, Limoges University Hospital Center, F-87042 Limoges, France
| | - Philippe Vignon
- Medical-surgical Intensive Care Unit, Limoges University Hospital Center, F-87042 Limoges, France; Inserm CIC 1435, Limoges University Hospital Center, F-87042 Limoges, France; Inserm UMR 1092, University of Limoges, F-87042 Limoges, France
| | - Thomas Lafon
- Emergency Department, Limoges University Hospital Center, F-87042 Limoges, France; Medical-surgical Intensive Care Unit, Limoges University Hospital Center, F-87042 Limoges, France; Inserm UMR 1092, University of Limoges, F-87042 Limoges, France.
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23
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Pisciotta W, Arina P, Hofmaenner D, Singer M. Difficult diagnosis in the ICU: making the right call but beware uncertainty and bias. Anaesthesia 2023; 78:501-509. [PMID: 36633483 DOI: 10.1111/anae.15897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2022] [Indexed: 01/13/2023]
Abstract
Dealing with an uncertain or missed diagnosis is commonplace in the intensive care unit setting. Affected patients are subject to a potential decrease in quality of care and a greater risk of a poor outcome. The diagnostic process is a complex task that starts with information gathering, followed by integration and interpretation of data, hypothesis generation and, finally, confirmation of a (hopefully correct) diagnosis. This may be particularly challenging in the patient who is critically ill where a good history may not be forthcoming and/or clinical, laboratory and imaging features are non-specific. The aim of this narrative review is to analyse and describe common causes of diagnostic error in the intensive care unit, highlighting the multiple types of cognitive bias, and to suggest a diagnostic framework. To inform this review, we performed a literature search to identify relevant articles, particularly those pertinent to unclear diagnoses in patients who are critically ill. Clinicians should be cognisant as to how they formulate diagnoses and utilise debiasing strategies. Multidisciplinary teamwork and more time spent with the patient, supported by effective and efficient use of electronic healthcare records and decision support resources, is likely to improve the quality of the diagnostic process, patient care and outcomes.
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Affiliation(s)
- W Pisciotta
- Bloomsbury Institute of Intensive Care Medicine, University College London, UK.,IRCCS Istituto Clinico Humanitas, Milan, Italy
| | - P Arina
- Bloomsbury Institute of Intensive Care Medicine, University College London, UK
| | - D Hofmaenner
- Bloomsbury Institute of Intensive Care Medicine, University College London, UK.,Institute of Intensive Care Medicine, University Hospital Zurich, Switzerland
| | - M Singer
- Bloomsbury Institute of Intensive Care Medicine, University College London, UK
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24
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Turgman O, Schinkel M, Wiersinga WJ. Host Response Biomarkers for Sepsis in the Emergency Room. Crit Care 2023; 27:97. [PMID: 36941681 PMCID: PMC10027585 DOI: 10.1186/s13054-023-04367-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2023. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2023 . Further information about the Annual Update in Intensive Care and Emergency Medicine is available from https://link.springer.com/bookseries/8901 .
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Affiliation(s)
- Oren Turgman
- Center for Experimental and Molecular Medicine, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Michiel Schinkel
- Center for Experimental and Molecular Medicine, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Division of Infectious Diseases, Department of Medicine, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Willem Joost Wiersinga
- Center for Experimental and Molecular Medicine, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
- Division of Infectious Diseases, Department of Medicine, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
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25
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Nielsen FE, Chafranska L, Sørensen R, Abdullah OB. Predictors of outcomes in emergency department patients with suspected infections and without fulfillment of the sepsis criteria. Am J Emerg Med 2023; 68:144-154. [PMID: 37018890 DOI: 10.1016/j.ajem.2023.03.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/17/2023] [Accepted: 03/15/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Data on patient characteristics and determinants of serious outcomes for acutely admitted patients with infections who do not fulfill the sepsis criteria are sparse. The study aimed to characterize acutely admitted emergency department (ED) patients with infections and a composite outcome of in-hospital mortality or transfer to the intensive care unit without fulfilling the criteria for sepsis and to examine predictors of the composite outcome. METHODS This was a secondary analysis of data from a prospective observational study of patients with suspected bacterial infection admitted to the ED between October 1, 2017 and March 31, 2018. A National Early Warning Score 2 (NEWS2) ≥ 5 within the first 4 h in the ED was assumed to represent a sepsis-like condition with a high risk for the composite endpoint. Patients who achieved the composite outcome were grouped according to fulfillment of the NEWS2 ≥ 5 criteria. We used logistic regression analysis to estimate the unadjusted and adjusted odds ratio (OR) for the composite endpoint among patients with either NEWS2 < 5 (NEWS2-) or NEWS2 ≥ 5 (NEWS2+). RESULTS A total of 2055 patients with a median age of 73 years were included. Of these, 198 (9.6%) achieved the composite endpoint, including 59 (29.8%) NEWS2- and 139 (70.2%) NEWS2+ patients, respectively. Diabetes (OR 2.23;1.23-4.0), a Sequential Organ Failure Assessment (SOFA) score ≥ 2 (OR 2.57;1.37-4.79), and a Do-not-attempt-cardiopulmonary-resuscitation order (DNACPR) on admission (OR 3.70;1.75-7.79) were independent predictive variables for the composite endpoint in NEWS2- patients (goodness-of-fit test P = 0.291; area under the receiver operating characteristic curve for the model (AUROC) = 0.72). The regression model for NEWS2+ patients revealed that a SOFA score ≥ 2 (OR 2.79; 1.59-4.91), hypothermia (OR 2.48;1.30-4.75), and DNACPR order on admission were predictive variables for the composite endpoint (goodness-of-fit test P = 0.62; AUROC for the model = 0.70). CONCLUSION Approximately one-third of the patients with infections and serious outcomes during hospitalization did not meet the NEWS2 threshold for likely sepsis. Our study identified factors with independent predictive values for the development of serious outcomes that should be tested in future prediction models.
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26
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Diagnostic Delays in Sepsis: Lessons Learned From a Retrospective Study of Canadian Medico-Legal Claims. Crit Care Explor 2023; 5:e0841. [PMID: 36751515 PMCID: PMC9894347 DOI: 10.1097/cce.0000000000000841] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Although rapid treatment improves outcomes for patients presenting with sepsis, early detection can be difficult, especially in otherwise healthy adults. OBJECTIVES Using medico-legal data, we aimed to identify areas of focus to assist with early recognition of sepsis. DESIGN SETTING AND PARTICIPANTS Retrospective descriptive design. We analyzed closed medico-legal cases involving physicians from a national database repository at the Canadian Medical Protective Association. The study included cases closed between 2011 and 2020 that had documented peer expert criticism of a diagnostic issue related to sepsis or relevant infections. MAIN OUTCOMES AND MEASURES We used univariate statistics to describe patients and physicians and applied published frameworks to classify contributing factors (provider, team, system) and diagnostic pitfalls based on peer expert criticisms. RESULTS Of 162 involved patients, the median age was 53 years (interquartile range [IQR], 34-66 yr) and mortality was 49%. Of 218 implicated physicians, 169 (78%) were from family medicine, emergency medicine, or surgical specialties. Eighty patients (49%) made multiple visits to outpatient care leading up to sepsis recognition/hospitalization (median = two visits; IQR, 2-4). Almost 40% of patients were admitted to the ICU. Deficient assessments, such as failing to consider sepsis or not reassessing the patient prior to discharge, contributed to the majority of cases (81%). CONCLUSIONS AND RELEVANCE Sepsis continues to be a challenging diagnosis for clinicians. Multiple visits to outpatient care may be an early warning sign requiring vigilance in the patient assessment.
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27
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Muramatsu K, Nagasawa H, Takeuchi I, Jitsuiki K, Ohsaka H, Ishikawa K, Yanagawa Y. An analysis of patients with a chief complaint of difficulty moving. J Rural Med 2023; 18:36-41. [PMID: 36700130 PMCID: PMC9832309 DOI: 10.2185/jrm.2022-016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 10/20/2022] [Indexed: 01/06/2023] Open
Abstract
Objective: There have been few reports in English medical journals analyzing patients with difficulty moving. Herein, we conducted a retrospective survey of emergency patients admitted to our hospital with the chief complaint of difficulty moving, to clarify the clinical characteristics of the frequency, causative disease, and outcome in these patients. Patients and Methods: Between August 2017 and October 2021, we surveyed the patient database maintained by our department, covering cases in which the main complaint at the time of patient transport by ambulance to our hospital was difficulty moving. Results: In 111 cases, the patient's primary complaint was difficulty moving or adynamia. Patients included 59 males and 52 females, with a mean age of 76.3 years old. The most frequent diagnosis in these patients was rhabdomyolysis, followed by infection, body temperature abnormalities, electrolyte disorder, blood glucose abnormality, hypoxia, and renal failure. Trauma and various other diseases, such as stroke and malignancy, were also found to be causative diseases. After discharge from the hospital, the number of patients with a dependent status was greater than those with an independent status. Conclusion: Patients with difficulty moving were primarily elderly, and had a variety of causative diseases. Therefore, multiple approaches are required to manage these patients.
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Affiliation(s)
- Kenichi Muramatsu
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
| | - Hiroki Nagasawa
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
| | - Ikuto Takeuchi
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
| | - Kei Jitsuiki
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
| | - Hiromichi Ohsaka
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
| | - Kouhei Ishikawa
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
| | - Youichi Yanagawa
- Department of Acute Critical Care Medicine, Shizuoka
Hospital, Juntendo University, Japan
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28
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Chen Q, Li R, Lin C, Lai C, Huang Y, Lu W, Li L. SEPRES: Intensive Care Unit Clinical Data Integration System to Predict Sepsis. Appl Clin Inform 2023; 14:65-75. [PMID: 36452980 PMCID: PMC9876660 DOI: 10.1055/a-1990-3037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/28/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The lack of information interoperability between different devices and systems in the intensive care unit (ICU) hinders further utilization of data, especially for early warning of specific diseases in the ICU. OBJECTIVES We aimed to establish a data integration system. Based on this system, the sepsis prediction module was added to compose the Sepsis PREdiction System (SEPRES), where real-time early warning of sepsis can be implemented at the bedside in the ICU. METHODS Data are collected from bedside devices through the integration hub and uploaded to the integration system through the local area network. The data integration system was designed to integrate vital signs data, laboratory data, ventilator data, demographic data, pharmacy data, nursing data, etc. from multiple medical devices and systems. It integrates, standardizes, and stores information, making the real-time inference of the early warning module possible. The built-in sepsis early warning module can detect the onset of sepsis within 5 hours preceding at most. RESULTS Our data integration system has already been deployed in Ruijin Hospital, confirming the feasibility of our system. CONCLUSION We highlight that SEPRES has the potential to improve ICU management by helping medical practitioners identify at-sepsis-risk patients and prepare for timely diagnosis and intervention.
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Affiliation(s)
- Qiyu Chen
- Division of Applied Mathematics, Fudan University, Shanghai, China
| | - Ranran Li
- Department of Critical Care Medicine, Shanghai Jiaotong University School of Medicine, Ruijin Hospital, Shanghai, China
| | - ChihChe Lin
- Department of Intelligent Medical Products, Shanghai Electric Group Co., Ltd. Central Academe, Shanghai, China
| | - Chiming Lai
- Department of Intelligent Medical Products, Shanghai Electric Group Co., Ltd. Central Academe, Shanghai, China
| | - Yaling Huang
- Department of Intelligent Medical Products, Shanghai Electric Group Co., Ltd. Central Academe, Shanghai, China
| | - Wenlian Lu
- Division of Applied Mathematics, Fudan University, Shanghai, China
| | - Lei Li
- Department of Critical Care Medicine, Shanghai Jiaotong University School of Medicine, Ruijin Hospital, Shanghai, China
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29
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Mohr NM, Okoro U, Harland KK, Fuller BM, Campbell K, Swanson MB, Wymore C, Faine B, Zepeski A, Parker EA, Mack L, Bell A, DeJong K, Mueller K, Chrischilles E, Carpenter CR, Wallace K, Jones MP, Ward MM. Outcomes Associated With Rural Emergency Department Provider-to-Provider Telehealth for Sepsis Care: A Multicenter Cohort Study. Ann Emerg Med 2023; 81:1-13. [PMID: 36253295 PMCID: PMC9780149 DOI: 10.1016/j.annemergmed.2022.07.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/07/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023]
Abstract
STUDY OBJECTIVE To test the hypothesis that provider-to-provider tele-emergency department care is associated with more 28-day hospital-free days and improved Surviving Sepsis Campaign (SSC) guideline adherence in rural emergency departments (EDs). METHODS Multicenter (n=23), propensity-matched, cohort study using medical records of patients with sepsis from rural hospitals in an established, on-demand, rural video tele-ED network in the upper Midwest between August 2016 and June 2019. The primary outcome was 28-day hospital-free days, with secondary outcomes of 28-day inhospital mortality and SSC guideline adherence. RESULTS A total of 1,191 patients were included in the analysis, with tele-ED used for 326 (27%). Tele-ED cases were more likely to be transferred to another hospital (88% versus 8%, difference 79%, 95% confidence interval [CI] 75% to 83%). After matching and regression adjustment, tele-ED cases did not have more 28-day hospital-free days (difference 0.07 days more for tele-ED, 95% CI -0.04 to 0.17) or 28-day inhospital mortality (adjusted odds ratio [aOR] 0.51, 95% CI 0.16 to 1.60). Adherence with both the SSC 3-hour bundle (aOR 0.59, 95% CI 0.28 to 1.22) and complete bundle (aOR 0.45, 95% CI 0.02 to 11.60) were similar. An a priori-defined subgroup of patients treated by advanced practice providers suggested that the mortality was lower in the cohort with tele-ED use (aOR 0.11, 95% CI 0.02 to 0.73) despite no significant difference in complete SSC bundle adherence (aOR 2.88, 95% CI 0.52 to 15.86). CONCLUSION Rural emergency department patients treated with provider-to-provider tele-ED care in a mature network appear to have similar clinical outcomes to those treated without.
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Affiliation(s)
- Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA; Division of Critical Care, Department of Anesthesia, University of Iowa Carver College of Medicine, Iowa City, IA; Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA.
| | - Uche Okoro
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Karisa K Harland
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Brian M Fuller
- Division of Critical Care, Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO; Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO
| | - Kalyn Campbell
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA; Department of Surgery, Hennepin County Medical Center, Minneapolis, MN
| | - Morgan B Swanson
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Cole Wymore
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Brett Faine
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA; Department of Pharmaceutical Practice, College of Pharmacy, University of Iowa, Iowa City, IA
| | - Anne Zepeski
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Edith A Parker
- Department of Community and Behavioral Health, University of Iowa College of Public Health, Iowa City, IA
| | - Luke Mack
- Avel eCare, Sioux Falls, SD; Department of Family Medicine, University of South Dakota Sanford School of Medicine, Sioux Falls, SD
| | | | | | - Keith Mueller
- Department of Health Management and Policy, University of Iowa College of Public Health, Iowa City, IA
| | | | | | - Kelli Wallace
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Michael P Jones
- Department of Biostatistics, University of Iowa College of Public Health, Iowa City, IA
| | - Marcia M Ward
- Department of Health Management and Policy, University of Iowa College of Public Health, Iowa City, IA
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30
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Chen Q, Li R, Lin C, Lai C, Chen D, Qu H, Huang Y, Lu W, Tang Y, Li L. Transferability and interpretability of the sepsis prediction models in the intensive care unit. BMC Med Inform Decis Mak 2022; 22:343. [PMID: 36581881 PMCID: PMC9798724 DOI: 10.1186/s12911-022-02090-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 12/16/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND We aimed to develop an early warning system for real-time sepsis prediction in the ICU by machine learning methods, with tools for interpretative analysis of the predictions. In particular, we focus on the deployment of the system in a target medical center with small historical samples. METHODS Light Gradient Boosting Machine (LightGBM) and multilayer perceptron (MLP) were trained on Medical Information Mart for Intensive Care (MIMIC-III) dataset and then finetuned on the private Historical Database of local Ruijin Hospital (HDRJH) using transfer learning technique. The Shapley Additive Explanations (SHAP) analysis was employed to characterize the feature importance in the prediction inference. Ultimately, the performance of the sepsis prediction system was further evaluated in the real-world study in the ICU of the target Ruijin Hospital. RESULTS The datasets comprised 6891 patients from MIMIC-III, 453 from HDRJH, and 67 from Ruijin real-world data. The area under the receiver operating characteristic curves (AUCs) for LightGBM and MLP models derived from MIMIC-III were 0.98 - 0.98 and 0.95 - 0.96 respectively on MIMIC-III dataset, and, in comparison, 0.82 - 0.86 and 0.84 - 0.87 respectively on HDRJH, from 1 to 5 h preceding. After transfer learning and ensemble learning, the AUCs of the final ensemble model were enhanced to 0.94 - 0.94 on HDRJH and to 0.86 - 0.9 in the real-world study in the ICU of the target Ruijin Hospital. In addition, the SHAP analysis illustrated the importance of age, antibiotics, net balance, and ventilation for sepsis prediction, making the model interpretable. CONCLUSIONS Our machine learning model allows accurate real-time prediction of sepsis within 5-h preceding. Transfer learning can effectively improve the feasibility to deploy the prediction model in the target cohort, and ameliorate the model performance for external validation. SHAP analysis indicates that the role of antibiotic usage and fluid management needs further investigation. We argue that our system and methodology have the potential to improve ICU management by helping medical practitioners identify at-sepsis-risk patients and prepare for timely diagnosis and intervention. TRIAL REGISTRATION NCT05088850 (retrospectively registered).
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Affiliation(s)
- Qiyu Chen
- grid.8547.e0000 0001 0125 2443Department of Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, 200433 China
| | - Ranran Li
- grid.16821.3c0000 0004 0368 8293Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025 China
| | - ChihChe Lin
- grid.495525.a0000 0004 0552 4356Shanghai Electric Group Co., Ltd., Central Academe, Shanghai, China
| | - Chiming Lai
- grid.495525.a0000 0004 0552 4356Shanghai Electric Group Co., Ltd., Central Academe, Shanghai, China
| | - Dechang Chen
- grid.16821.3c0000 0004 0368 8293Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025 China
| | - Hongping Qu
- grid.16821.3c0000 0004 0368 8293Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025 China
| | - Yaling Huang
- grid.495525.a0000 0004 0552 4356Shanghai Electric Group Co., Ltd., Central Academe, Shanghai, China
| | - Wenlian Lu
- grid.8547.e0000 0001 0125 2443Department of Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, 200433 China
| | - Yaoqing Tang
- grid.16821.3c0000 0004 0368 8293Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025 China
| | - Lei Li
- grid.16821.3c0000 0004 0368 8293Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025 China
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Timing and Spectrum of Antibiotic Treatment for Suspected Sepsis and Septic Shock: Why so Controversial? Infect Dis Clin North Am 2022; 36:719-733. [PMID: 36328632 DOI: 10.1016/j.idc.2022.08.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Sepsis guidelines and mandates encourage increasingly aggressive time-to-antibiotic targets for broad-spectrum antimicrobials for suspected sepsis and septic shock. This has caused considerable controversy due to weaknesses in the underlying evidence and fear that overly strict antibiotic deadlines may harm patients by perpetuating or escalating overtreatment. Indeed, a third or more of patients currently treated for sepsis and septic shock have noninfectious or nonbacterial conditions. These patients risk all the potential harms of antibiotics without their possible benefits. Updated Surviving Sepsis Campaign guidelines now emphasize the importance of tailoring antibiotics to each patient's likelihood of infection, risk for drug-resistant pathogens, and severity-of-illness.
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Leligdowicz A, Harhay MO, Calfee CS. Immune Modulation in Sepsis, ARDS, and Covid-19 - The Road Traveled and the Road Ahead. NEJM EVIDENCE 2022; 1:EVIDra2200118. [PMID: 38319856 DOI: 10.1056/evidra2200118] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Immune Modulation in Sepsis, ARDS, and Covid-19Leligdowicz et al. consider the history and future of immunomodulating therapies in sepsis and ARDS, including ARDS due to Covid-19, and remark on the larger challenge of clinical research on therapies for syndromes with profound clinical and biologic heterogeneity.
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Affiliation(s)
- Aleksandra Leligdowicz
- Department of Medicine, Division of Critical Care Medicine, Western University, London, ON, Canada
- Robarts Research Institute, Western University, London, ON, Canada
| | - Michael O Harhay
- Clinical Trials Methods and Outcomes Lab, Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Carolyn S Calfee
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco
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Gant V, Singer M. Combining pathogen and host metagenomics for a better sepsis diagnostic. Nat Microbiol 2022; 7:1713-1714. [DOI: 10.1038/s41564-022-01255-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Klompas M, Rhee C. Antibiotics: it is all about timing, isn't it? Curr Opin Crit Care 2022; 28:513-521. [PMID: 35942689 DOI: 10.1097/mcc.0000000000000969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Sepsis guidelines and quality measures set aggressive deadlines for administering antibiotics to patients with possible sepsis or septic shock. However, the diagnosis of sepsis is often uncertain, particularly upon initial presentation, and pressure to treat more rapidly may harm some patients by exposing them to unnecessary or inappropriate broad-spectrum antibiotics. RECENT FINDINGS Observational studies that report that each hour until antibiotics increases mortality often fail to adequately adjust for comorbidities and severity of illness, fail to account for antibiotics given to uninfected patients, and inappropriately blend the effects of long delays with short delays. Accounting for these factors weakens or eliminates the association between time-to-antibiotics and mortality, especially for patients without shock. These findings are underscored by analyses of the Centers for Medicaid and Medicare Services SEP-1 measure: it has increased sepsis diagnoses and broad-spectrum antibiotic use but has not improved outcomes. SUMMARY Clinicians are advised to tailor the urgency of antibiotics to their certainty of infection and patients' severity of illness. Immediate antibiotics are warranted for patients with possible septic shock or high likelihood of infection. Antibiotics can safely be withheld to allow for more investigation, however, in most patients with less severe illnesses if the diagnosis of infection is uncertain.
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Affiliation(s)
- Michael Klompas
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Chanu Rhee
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Klompas M, Goldberg SA. Turning Back the Clock: Prehospital Antibiotics for Patients With Septic Shock. Crit Care Med 2022; 50:1537-1540. [PMID: 36106973 DOI: 10.1097/ccm.0000000000005655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Michael Klompas
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Scott A Goldberg
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA
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Heterogeneity in Clinical Presentations of Sepsis: Challenges and Implications for "One-Size-Fits-All" Time-to-Antibiotic Measures. Crit Care Med 2022; 50:886-889. [PMID: 35485589 DOI: 10.1097/ccm.0000000000005430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Chang JL, Pearson JC, Rhee C. Early Empirical Use of Broad-Spectrum Antibiotics in Sepsis. Curr Infect Dis Rep 2022. [DOI: 10.1007/s11908-022-00777-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Baïsse A, Daix T, Hernandez Padilla AC, Jeannet R, Barraud O, Dalmay F, François B, Vignon P, Lafon T. High prevalence of infections in non-COVID-19 patients admitted to the Emergency Department with severe lymphopenia. BMC Infect Dis 2022; 22:295. [PMID: 35346082 PMCID: PMC8960225 DOI: 10.1186/s12879-022-07295-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 03/14/2022] [Indexed: 11/23/2022] Open
Abstract
Background In the Emergency Department (ED), early and accurate recognition of infection is crucial to prompt antibiotic therapy but the initial presentation of patients is variable and poorly characterized. Lymphopenia is commonly associated with bacteraemia and poor outcome in intensive care unit patients. The objective of this retrospective study was to assess the prevalence of community-acquired infection in a cohort of unselected patients admitted to the ED with undifferentiated symptoms and severe lymphopenia. Methods This is a retrospective single-center study conducted over a 1 year-period before the COVID-19 pandemic. Consecutive adult patients admitted to the ED with severe lymphopenia (lymphocyte count < 0.5 G/L) were studied. Patients with hematological or oncological diseases, HIV infection, hepato-cellular deficiency, immunosuppression, or patients over 85 years old were excluded. Diagnoses of infection were validated by an independent adjudication committee. The association between various parameters and infection was assessed using a multivariate logistic regression analysis. Results Of 953 patients admitted to the ED with severe lymphopenia, 245 were studied (148 men; mean age: 63 ± 19 years). Infection was confirmed in 159 patients (65%) (bacterial: 60%, viral: 30%, other: 10%). Only 61 patients (25%) were referred to the ED for a suspected infection. In the univariate analysis, SIRS criteria (OR: 5.39; 95%CI: 3.04–9.70; p < 0.001) and temperature ≥ 38.3 °C (OR: 10.95; 95%CI: 5.39–22.26; p < 0.001) were strongly associate with infection. In the multivariate analysis, only SIRS criteria (OR: 2.4; 95%CI: 1.48–3.9; p < 0.01) and fever (OR: 3.35; 95%CI: 1.26–8.93; p = 0.016) were independently associated with infection. Conclusions The prevalence of underlying infection is high in patients admitted to the ED with lymphopenia, irrespective of the reason for admission. Whether lymphopenia could constitute a valuable marker of underlying infection in this clinical setting remains to be confirmed prospectively in larger cohorts. Trial registration: No registration required as this is a retrospective study. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07295-5.
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Hofmaenner DA, Singer M. Challenging management dogma where evidence is non-existent, weak or outdated. Intensive Care Med 2022; 48:548-558. [PMID: 35303116 PMCID: PMC8931587 DOI: 10.1007/s00134-022-06659-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/25/2022] [Indexed: 12/19/2022]
Abstract
Medical practice is dogged by dogma. A conclusive evidence base is lacking for many aspects of patient management. Clinicians, therefore, rely upon engrained treatment strategies as the dogma seems to work, or at least is assumed to do so. Evidence is often distorted, overlooked or misapplied in the re-telling. However, it is incorporated as fact in textbooks, policies, guidelines and protocols with resource and medicolegal implications. We provide here four examples of medical dogma that underline the above points: loop diuretic treatment for acute heart failure; the effectiveness of heparin thromboprophylaxis; the rate of sodium correction for hyponatraemia; and the mantra of "each hour counts" for treating meningitis. It is notable that the underpinning evidence is largely unsupportive of these doctrines. We do not necessarily advocate change, but rather encourage critical reflection on current practices and the need for prospective studies.
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Affiliation(s)
- Daniel A Hofmaenner
- Bloomsbury Institute of Intensive Care Medicine, Division of Medicine, University College London, Cruciform Building, Gower St, London, WC1 6BT, UK
| | - Mervyn Singer
- Bloomsbury Institute of Intensive Care Medicine, Division of Medicine, University College London, Cruciform Building, Gower St, London, WC1 6BT, UK.
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Li S, Jiang H, Xing W, Wang S, Zhang Y, Li Y, Mao C, Zeng D, Lan P, Tang D, Zhan J, Li L, Xu X, Fei J. A Clinical Diagnostic Study: Fibulin-2 is a Novel Promising Biomarker for Predicting Infection. Infect Dis Ther 2022; 11:1057-1073. [PMID: 35303288 PMCID: PMC8931586 DOI: 10.1007/s40121-022-00622-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/07/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction Infection remains a major cause of morbidity and mortality in hospital. As uncontrolled early infection may develop into systemic infection and eventually progress to sepsis, it is important to address infection at an early stage. Furthermore, early detection and prompt diagnosis of infection are the basis of clinical intervention. However, as a result of the interference of complex aetiologies, including fever and trauma, problems regarding the sensitivity and specificity of current diagnostic indices remain, such as for C-reactive protein (CRP), procalcitonin (PCT), white blood cells (WBC), neutrophil ratio (NEU%), interleukin-6 (IL-6) and D-dimer. As a result, there is an urgent need to develop new biomarkers to diagnose infection. Methods From January to October 2021, consecutive patients in the emergency department (ED) were recruited to investigate the feasibility of fibulin-2 as a diagnostic indicator of early infection. Fibulin-2 concentrations in plasma were determined with enzyme-linked immunosorbent assay (ELISA). The performance of fibulin-2 for predicting infection was analysed by receiver operating characteristic (ROC) curves. Results We found that the plasma fibulin-2 level was elevated in patients with infection compared with those without infection. ROC curve analysis showed that the area under the curve (AUC) for fibulin-2 was 0.712. For all patients included, the diagnostic ability of fibulin-2 (AUC 0.712) performed as well as CRP (AUC 0.667) and PCT (AUC 0.632), and better than WBC (AUC 0.620), NEU% (AUC 0.619), IL-6 (AUC 0.561) and D-dimer (AUC 0.630). In patients with fever, fibulin-2 performed as well as PCT and better than the other biomarkers in infection diagnosis. In particular, fibulin-2 performed better than all these biomarkers in patients with trauma. Conclusion Fibulin-2 is a novel promising diagnostic biomarker for predicting infection. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-022-00622-y.
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Affiliation(s)
- Shidan Li
- Department of Orthopaedics, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Hao Jiang
- Department of Orthopaedics, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China
| | - Wei Xing
- Department of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Shaochuan Wang
- Department of Orthopaedics, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Yao Zhang
- Department of Epidemiology, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Youbin Li
- Department of Orthopaedics, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Chengyi Mao
- Department of Pathology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Delian Zeng
- Department of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Ping Lan
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Dongqin Tang
- Department of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jijie Zhan
- Department of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Lei Li
- Department of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Xiang Xu
- Department of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
| | - Jun Fei
- Department of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
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Prasad V, Reisner AT, Lynch JC, Filbin MR, Heldt T. Modeling of Usual Care: Vasopressor Initiation for Sepsis With Hypotension. Front Med (Lausanne) 2022; 9:715856. [PMID: 35360743 PMCID: PMC8963410 DOI: 10.3389/fmed.2022.715856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Usual care regarding vasopressor initiation is ill-defined. We aimed to develop a quantitative “dynamic practice” model for usual care in the emergency department (ED) regarding the timing of vasopressor initiation in sepsis. In a retrospective study of 589 septic patients with hypotension in an urban tertiary care center ED, we developed a multi-variable model that distinguishes between patients who did and did not subsequently receive sustained (>24 h) vasopressor therapy. Candidate predictors were vital signs, intravenous fluid (IVF) volumes, laboratory measurements, and elapsed time from triage computed at timepoints leading up to the final decision timepoint of either vasopressor initiation or ED hypotension resolution without vasopressors. A model with six independently significant covariates (respiratory rate, Glasgow Coma Scale score, SBP, SpO2, administered IVF, and elapsed time) achieved a C-statistic of 0.78 in a held-out test set at the final decision timepoint, demonstrating the ability to reliably model usual care for vasopressor initiation for hypotensive septic patients. The included variables measured depth of hypotension, extent of disease severity and organ dysfunction. At an operating point of 90% specificity, the model identified a minority of patients (39%) more than an hour before actual vasopressor initiation, during which time a median of 2,250 (IQR 1,200–3,300) mL of IVF was administered. This single-center analysis shows the feasibility of a quantitative, objective tool for describing usual care. Dynamic practice models may help assess when management was atypical; such tools may also be useful for designing and interpreting clinical trials.
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Affiliation(s)
- Varesh Prasad
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Andrew T. Reisner
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - James C. Lynch
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Michael R. Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Thomas Heldt
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States
- *Correspondence: Thomas Heldt
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Septic patients without obvious signs of infection at baseline are more likely to die in the ICU. BMC Infect Dis 2022; 22:205. [PMID: 35236308 PMCID: PMC8889780 DOI: 10.1186/s12879-022-07210-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 02/18/2022] [Indexed: 11/11/2022] Open
Abstract
Objective Early identification of sepsis is mandatory. However, clinical presentation is sometimes misleading given the lack of infection signs. The objective of the study was to evaluate the impact on the 28-day mortality of the so-called “vague” presentation of sepsis. Design Single centre retrospective observational study. Setting One teaching hospital Intensive Care Unit. Subjects All the patients who presented at the Emergency Department (ED) and were thereafter admitted to the Intensive Care Unit (ICU) with a final diagnosis of sepsis were included in this retrospective observational three-year study. They were classified as having exhibited either “vague” or explicit presentation at the ED according to previously suggested criteria. Baseline characteristics, infection main features and sepsis management were compared. The impact of a vague presentation on 28-day mortality was then evaluated. Interventions None. Measurements and main results Among the 348 included patients, 103 (29.6%) had a vague sepsis presentation. Underlying chronic diseases were more likely in those patients [e.g., peripheral arterial occlusive disease: adjusted odd ratio (aOR) = 2.01, (1.08–3.77) 95% confidence interval (CI); p = 0.028], but organ failure was less likely at the ED [SOFA score value: 4.7 (3.2) vs. 5.2 (3.1), p = 0.09]. In contrast, 28-day mortality was higher in the vague presentation group (40.8% vs. 26.9%, p = 0.011), along with longer time-to-diagnosis [18 (31) vs. 4 (11) h, p < 0.001], time-to-antibiotics [20 (32) vs. 7 (12) h, p < 0.001] and time to ICU admission [71 (159) vs. 24 (69) h, p < 0.001]. Whatever, such a vague presentation independently predicted 28-day mortality [aOR = 2.14 (1.24–3.68) 95% CI; p = 0.006]. Conclusions Almost one third of septic patient requiring ICU had a vague presentation at the ED. Despite an apparent lower level of severity when initially assessed, those patients had an increased risk of mortality that could not be fully explained by delayed diagnosis and management of sepsis. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07210-y.
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Panacea or Perplexing? Crit Care Med 2022; 50:513-516. [PMID: 35191873 PMCID: PMC8887822 DOI: 10.1097/ccm.0000000000005278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Umemura Y, Abe T, Ogura H, Fujishima S, Kushimoto S, Shiraishi A, Saitoh D, Mayumi T, Otomo Y, Hifumi T, Hagiwara A, Takuma K, Yamakawa K, Shiino Y, Nakada TA, Tarui T, Okamoto K, Kotani J, Sakamoto Y, Sasaki J, Shiraishi SI, Tsuruta R, Masuno T, Takeyama N, Yamashita N, Ikeda H, Ueyama M, Gando S. Hour-1 bundle adherence was associated with reduction of in-hospital mortality among patients with sepsis in Japan. PLoS One 2022; 17:e0263936. [PMID: 35157744 PMCID: PMC8843226 DOI: 10.1371/journal.pone.0263936] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 01/30/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The updated Surviving Sepsis Campaign guidelines recommend a 1-hour window for completion of a sepsis care bundle; however, the effectiveness of the hour-1 bundle has not been fully evaluated. The present study aimed to evaluate the impact of hour-1 bundle completion on clinical outcomes in sepsis patients. METHODS This was a multicenter, prospective, observational study conducted in 17 intensive care units in tertiary hospitals in Japan. We included all adult patients who were diagnosed as having sepsis by Sepsis-3 and admitted to intensive care units from July 2019 to August 2020. Impacts of hour-1 bundle adherence and delay of adherence on risk-adjusted in-hospital mortality were estimated by multivariable logistic regression analyses. RESULTS The final study cohort included 178 patients with sepsis. Among them, 89 received bundle-adherent care. Completion rates of each component (measure lactate level, obtain blood cultures, administer broad-spectrum antibiotics, administer crystalloid, apply vasopressors) within 1 hour were 98.9%, 86.2%, 51.1%, 94.9%, and 69.1%, respectively. Completion rate of all components within 1 hour was 50%. In-hospital mortality was 18.0% in the patients with and 30.3% in the patients without bundle-adherent care (p = 0.054). The adjusted odds ratio of non-bundle-adherent versus bundle-adherent care for in-hospital mortality was 2.32 (95% CI 1.09-4.95) using propensity scoring. Non-adherence to obtaining blood cultures and administering broad-spectrum antibiotics within 1 hour was related to in-hospital mortality (2.65 [95% CI 1.25-5.62] and 4.81 [95% CI 1.38-16.72], respectively). The adjusted odds ratio for 1-hour delay in achieving hour-1 bundle components for in-hospital mortality was 1.28 (95% CI 1.04-1.57) by logistic regression analysis. CONCLUSION Completion of the hour-1 bundle was associated with lower in-hospital mortality. Obtaining blood cultures and administering antibiotics within 1 hour may have been the components most contributing to decreased in-hospital mortality.
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Affiliation(s)
- Yutaka Umemura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Toshikazu Abe
- Department of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Japan
- * E-mail:
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Seitato Fujishima
- Center for General Medicine Education, Keio University School of Medicine, Tokyo, Japan
| | - Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | - Daizoh Saitoh
- Division of Traumatology, Research Institute, National Defense Medical College, Tokorozawa, Japan
| | - Toshihiko Mayumi
- Department of Emergency Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Yasuhiro Otomo
- Trauma and Acute Critical Care Center, Medical Hospital, Tokyo Medical and Dental University, Tokyo, Japan
| | - Toru Hifumi
- Department of Emergency and Critical Care Medicine, St. Luke’s International Hospital, Tokyo, Japan
| | - Akiyoshi Hagiwara
- Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan
| | - Kiyotsugu Takuma
- Emergency & Critical Care Center, Kawasaki Municipal Kawasaki Hospital, Kawasaki, Japan
| | - Kazuma Yamakawa
- Department of Emergency Medicine, Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - Yasukazu Shiino
- Department of Acute Medicine, Kawasaki Medical School, Okayama, Japan
| | - Taka-aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Takehiko Tarui
- Department of Emergency Medical Care, Kyorin University Faculty of Health Sciences, Tokyo, Japan
| | - Kohji Okamoto
- Department of Surgery, Center for Gastroenterology and Liver Disease, Kitakyushu City Yahata Hospital, Kitakyushu, Japan
| | - Joji Kotani
- Division of Disaster and Emergency Medicine, Department of Surgery Related, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yuichiro Sakamoto
- Emergency and Critical Care Medicine, Saga University Hospital, Saga, Japan
| | - Junichi Sasaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shin-ichiro Shiraishi
- Department of Emergency and Critical Care Medicine, Aizu Chuo Hospital, Fukushima, Japan
| | - Ryosuke Tsuruta
- Advanced Medical Emergency & Critical Care Center, Yamaguchi University Hospital, Yamaguchi, Japan
| | - Tomohiko Masuno
- Department of Emergency and Critical Care Medicine, Nippon Medical School, Tokyo, Japan
| | - Naoshi Takeyama
- Advanced Critical Care Center, Aichi Medical University Hospital, Aichi, Japan
| | - Norio Yamashita
- Advanced Emergency Medical Service Center Kurume University Hospital, Kurume, Japan
| | - Hiroto Ikeda
- Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Masashi Ueyama
- Department of Trauma, Critical Care Medicine, and Burn Center, Japan Community Healthcare Organization, Chukyo Hospital, Nagoya, Japan
- Community Healthcare Organization, Chukyo Hospital, Nagoya, Japan
| | - Satoshi Gando
- Department of Anesthesiology and Critical Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
- Department of Acute and Critical Care Medicine, Sapporo Tokushukai Hospital, Sapporo, Japan
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Kijpaisalratana N, Sanglertsinlapachai D, Techaratsami S, Musikatavorn K, Saoraya J. Machine learning algorithms for early sepsis detection in the emergency department: a retrospective study. Int J Med Inform 2022; 160:104689. [DOI: 10.1016/j.ijmedinf.2022.104689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 12/14/2021] [Accepted: 01/11/2022] [Indexed: 10/19/2022]
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Bisarya R, Song X, Salle J, Liu M, Patel A, Simpson SQ. Antibiotic Timing and Progression to Septic Shock Among Patients in the ED With Suspected Infection. Chest 2022; 161:112-120. [PMID: 34186038 DOI: 10.1016/j.chest.2021.06.029] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 05/21/2021] [Accepted: 06/09/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Recent medical society opinions have questioned the use of early antimicrobials in patients with sepsis, but without septic shock. RESEARCH QUESTION Is time from ED presentation to administration of antibiotics associated with progression to septic shock among patients with suspected infection? STUDY DESIGN AND METHODS This was a retrospective cohort study from March 2007 through March 2020. All adults with suspected infection and first antimicrobial administered within 24 h of triage were included. Patients with shock on presentation were excluded. We performed univariate and multivariate logistic regression analyses predicting progression to septic shock. RESULTS Seventy-four thousand one hundred fourteen patient encounters were included in the study. Five thousand five hundred ten patients (7.4%) progressed to septic shock. Of the patients who progressed to septic shock, 88% had received antimicrobials within the first 5 h from triage. In the multivariate logistic model, time (in hours) to first antimicrobial administration showed an OR of 1.03 (95% CI, 1.02-1.04; P < .001) for progression to septic shock and 1.02 (95% CI, 0.99-1.04; P = .121) for in-hospital mortality. When adjusted for severity of illness, each hour delayed until initial antimicrobial administration was associated with a 4.0% increase in progression to septic shock for every 1 h up to 24 h from triage. Patients with positive quick Sequential Organ Failure Assessment (qSOFA) results were given antibiotics at an earlier time point than patients with positive systemic inflammatory response syndrome (SIRS) score (0.82 h vs 1.2 h; P < .05). However, median time to septic shock was significantly shorter (P < .05) for patients with positive qSOFA results at triage (11.2 h) compared with patients with positive SIRS score at triage (26 h). INTERPRETATION Delays in first antimicrobial administration in patients with suspected infection are associated with rapid increases in likelihood of progression to septic shock. Additionally, qSOFA score has higher specificity than SIRS score for predicting septic shock, but is associated with a worse outcome, even when patients receive early antibiotics.
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Affiliation(s)
- Roshan Bisarya
- School of Medicine, University of Kansas, Kansas City, KS
| | - Xing Song
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS
| | - John Salle
- School of Medicine, University of Kansas, Kansas City, KS
| | - Mei Liu
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS
| | | | - Steven Q Simpson
- Pulmonary and Critical Care Division, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS.
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Patient Heterogeneity and the J-Curve Relationship Between Time-to-Antibiotics and the Outcomes of Patients Admitted With Bacterial Infection. Crit Care Med 2021; 50:799-809. [PMID: 34974496 DOI: 10.1097/ccm.0000000000005429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Sepsis remains a leading and preventable cause of hospital utilization and mortality in the United States. Despite updated guidelines, the optimal definition of sepsis as well as optimal timing of bundled treatment remain uncertain. Identifying patients with infection who benefit from early treatment is a necessary step for tailored interventions. In this study, we aimed to illustrate clinical predictors of time-to-antibiotics among patients with severe bacterial infection and model the effect of delay on risk-adjusted outcomes across different sepsis definitions. DESIGN A multicenter retrospective observational study. SETTING A seven-hospital network including academic tertiary care center. PATIENTS Eighteen-thousand three-hundred fifteen patients admitted with severe bacterial illness with or without sepsis by either acute organ dysfunction (AOD) or systemic inflammatory response syndrome positivity. MEASUREMENTS AND MAIN RESULTS The primary exposure was time to antibiotics. We identified patient predictors of time-to-antibiotics including demographics, chronic diagnoses, vitals, and laboratory results and determined the impact of delay on a composite of inhospital death or length of stay over 10 days. Distribution of time-to-antibiotics was similar across patients with and without sepsis. For all patients, a J-curve relationship between time-to-antibiotics and outcomes was observed, primarily driven by length of stay among patients without AOD. Patient characteristics provided good to excellent prediction of time-to-antibiotics irrespective of the presence of sepsis. Reduced time-to-antibiotics was associated with improved outcomes for all time points beyond 2.5 hours from presentation across sepsis definitions. CONCLUSIONS Antibiotic timing is a function of patient factors regardless of sepsis criteria. Similarly, we show that early administration of antibiotics is associated with improved outcomes in all patients with severe bacterial illness. Our findings suggest identifying infection is a rate-limiting and actionable step that can improve outcomes in septic and nonseptic patients.
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Abstract
Epidemiologic studies of diagnostic error in the intensive care unit (ICU) consist mostly of descriptive autopsy series. In these studies, rates of diagnostic errors are approximately 5% to 10%. Recently validated methods for retrospectively measuring error have expanded our understanding of the scope of the problem. These alternative measurement strategies have yielded similar estimates for the frequency of diagnostic error in the ICU. Although there is a fair understanding of the frequency of errors, further research is needed to better define the risk factors for diagnostic error in the ICU.
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Affiliation(s)
- Paul A Bergl
- Department of Critical Care, Gundersen Lutheran Medical Center, 1900 South Avenue, Mail Stop LM3-001, La Crosse, WI 54601, USA; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
| | - Yan Zhou
- Department of Critical Care Medicine, Geisinger Medical Center, 100 N Academy Avenue, Danville, PA 17822, USA; Geisinger Commonwealth School of Medicine, Scranton, PA, USA
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Shappell CN, Klompas M, Ochoa A, Rhee C. Likelihood of Bacterial Infection in Patients Treated With Broad-Spectrum IV Antibiotics in the Emergency Department. Crit Care Med 2021; 49:e1144-e1150. [PMID: 33967206 PMCID: PMC8516665 DOI: 10.1097/ccm.0000000000005090] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Best practice guidelines and quality metrics recommend immediate antibiotic treatment for all patients with suspected sepsis. However, little is known about how many patients given IV antibiotics in the emergency department are ultimately confirmed to have bacterial infection. DESIGN, SETTING, AND PATIENTS We performed a retrospective study of adult patients who presented to four Massachusetts emergency departments between June 2015 and June 2018 with suspected serious bacterial infection, defined as blood cultures drawn and broad-spectrum IV antibiotics administered. Structured medical record reviews were performed on a random sample of 300 cases to determine the post hoc likelihood of bacterial infection, categorized as definite, likely, unlikely, or definitely none. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Among the 300 patients with suspected serious bacterial infections, mean age was 68 years (sd 18), median hospital length of stay was 5 days (interquartile range, 3-8 d), 45 (15%) were admitted directly to ICU, and 14 (5%) died in hospital. Overall, 196 (65%) had definite (n = 115; 38%) or likely (n = 81; 27%) bacterial infection, whereas 104 (35%) were unlikely (n = 55; 18%) or definitely not infected (n = 49; 16%). Antibiotic treatment durations differed by likelihood of infection (median 15 days for definite, 9 for likely, 7 for unlikely, and 3 for definitely not infected). The most frequent post hoc diagnoses in patients with unlikely or definitely no bacterial infection included viral infections (28%), volume overload or cardiac disease (9%), drug effects (9%), and hypovolemia (7%). The likelihoods of infection were similar in the subset of 96 cases in whom emergency department providers explicitly documented possible or suspected sepsis and in the 45 patients admitted from the emergency department to the ICU. CONCLUSIONS One third of patients empirically treated with broad-spectrum antibiotics in the emergency department are ultimately diagnosed with noninfectious or viral conditions. These findings underscore the difficulty diagnosing serious infections in the emergency department and have important implications for guidelines and quality measures that compel immediate empiric antibiotics for all patients with possible sepsis.
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Affiliation(s)
- Claire N Shappell
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael Klompas
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Aileen Ochoa
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
| | - Chanu Rhee
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA
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Evaluation of Incident 7-Day Infection and Sepsis Hospitalizations in an Integrated Health System. Ann Am Thorac Soc 2021; 19:781-789. [PMID: 34699730 PMCID: PMC9116341 DOI: 10.1513/annalsats.202104-451oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
RATIONALE Pre-hospital opportunities to predict infection and sepsis hospitalization may exist, but little is known about their incidence following common healthcare encounters. OBJECTIVES To evaluate the incidence and timing of infection and sepsis hospitalization within 7 days of living hospital discharge, emergency department discharge, and ambulatory visit settings. METHODS In each setting, we identified patients in clinical strata based on the presence of infection and severity of illness. We estimated number needed to evaluate values with hypothetical predictive model operating characteristics. RESULTS We identified 97,614,228 encounters including 1,117,702 (1.1 %) hospital discharges, 4,635,517 (4.7%) emergency department discharges, and 91,861,009 (94.1 %) ambulatory visits between 2012 and 2017. The incidence of 7-day infection hospitalization varied from 37,140 (3.3%) following inpatient discharge, 50,315 (1.1%) following emergency department discharge, and 277,034 (0.3%) following ambulatory visits. The incidence of 7-day infection hospitalization was increased for inpatient discharges with high readmission risk (10.0%), emergency department discharges with increased acute or chronic severity of illness (3.5% and 4.7%, respectively), and ambulatory visits with acute infection (0.7%). The timing of 7-day infection and sepsis hospitalizations differed across settings with an early rise following ambulatory visits, a later peak following emergency department discharges, and a delayed peak following inpatient discharge. Theoretical number needed to evaluate values varied by strata, but following hospital and emergency department discharge, were as low as 15 to 25. CONCLUSIONS Incident 7-day infection and sepsis hospitalizations following encounters in routine healthcare settings were surprisingly common and may be amenable to clinical predictive models.
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