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Kang JH, Swisher CB, Buckley ED, Herndon JE, Lipp ES, Kirkpatrick JP, Desjardins A, Friedman HS, Johnson MO, Randazzo DM, Ashley DM, Peters KB. Primary brain tumor patients admitted to a US intensive care unit: a descriptive analysis. CNS Oncol 2021; 10:CNS77. [PMID: 34545753 PMCID: PMC8461751 DOI: 10.2217/cns-2021-0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Purpose: To describe our population of primary brain tumor (PBT) patients, a subgroup of cancer patients whose intensive care unit (ICU) outcomes are understudied. Methods: Retrospective analysis of PBT patients admitted to an ICU between 2013 to 2018 for an unplanned need. Using descriptive analyses, we characterized our population and their outcomes. Results: Fifty-nine PBT patients were analyzed. ICU mortality was 19% (11/59). The most common indication for admission was seizures (n = 16, 27%). Conclusion: Our ICU mortality of PBT patients was comparable to other solid tumor patients and the general ICU population and better than patients with hematological malignancies. Further study of a larger population would inform guidelines for triaging PBT patients who would most benefit from ICU-level care. Purpose: Data are lacking regarding outcomes of patients with primary brain tumors (PBTs) admitted to an intensive care unit (ICU), which may it difficult for ICU providers to know who of these patients will best benefit from ICU-level care. We aimed to describe our patient population to contribute to the limited data. Methods: We performed a retrospective analysis of critically ill PBT patients in our ICU. Results: Of 59 patients analyzed, ICU mortality was 19% (11/59), and the most common indication for admission was seizures (n = 16, 27%). Conclusion: Our ICU mortality of PBT patients was comparable to other solid tumor patients and the general ICU population and better than patients with hematological malignancies.
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Affiliation(s)
- Jennifer H Kang
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA
| | | | - Evan D Buckley
- Department of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, NC 27710, USA
| | - James E Herndon
- Department of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, NC 27710, USA
| | - Eric S Lipp
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - John P Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
| | - Annick Desjardins
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA.,Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Henry S Friedman
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Margaret O Johnson
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA.,Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Dina M Randazzo
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA.,Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - David M Ashley
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.,Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA
| | - Katherine B Peters
- Department of Neurology, Duke University Medical Center, Durham, NC 27710, USA.,Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
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Saltbæk L, Michelsen HM, Nelausen KM, Theile S, Dehlendorff C, Dalton SO, Nielsen DL. Cancer patients, physicians, and nurses differ in their attitudes toward the decisional role in do-not-resuscitate decision-making. Support Care Cancer 2020; 28:6057-6066. [PMID: 32291599 DOI: 10.1007/s00520-020-05460-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 04/04/2020] [Indexed: 11/25/2022]
Abstract
PURPOSE Do-not-resuscitate (DNR) decision-making in severely ill patients presents many difficult medical, ethical, and legal challenges. The primary aim of this study was to explore cancer patients' and health care professionals' attitudes regarding DNR decision-making authority and timing of the decision. METHODS This study was a questionnaire survey among Danish cancer patients and their attending physicians and nurses in an oncology outpatient setting. Potential differences between patients', physicians', and nurses' answers to the questionnaire were analyzed using Fisher's exact test. RESULTS Responses from 904 patients, 59 physicians, and 160 nurses were analyzed. The majority in all three groups agreed that DNR decisions should be made in collaboration between physician and patient. However, one-third of the patients answered that the patient alone should make the decision regarding DNR, which contrasts with the physicians' and nurses' attitudes, 0% and 6% pointing to the patient as sole decision-maker, respectively. In case of disagreement between patient and physician, a majority of both patients (66%) and physicians (86%) suggested themselves as the ultimate decision-maker. Additionally, 43% of patients but only 19% of physicians preferred the DNR discussion being brought up early in the course of the disease. CONCLUSIONS With regard to the decisional role of patient vs. physician and the timing of the DNR discussion, we found a substantial discrepancy between the attitudes of cancer patients and physicians. This discrepancy calls for a greater awareness and discussion of this sensitive topic among both health care professionals and the public.
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Affiliation(s)
- Lena Saltbæk
- Department of Oncology, Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej 7, DK-2730, Herlev, Denmark.
- Survivorship and Inequality in Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100, Copenhagen, Denmark.
- Department of Oncology, Zealand University Hospital, Ringstedgade 61, DK-4700, Næstved, Denmark.
| | - Hanne M Michelsen
- Department of Oncology, Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej 7, DK-2730, Herlev, Denmark
| | - Knud M Nelausen
- Department of Oncology, Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej 7, DK-2730, Herlev, Denmark
| | - Susann Theile
- Department of Oncology, Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej 7, DK-2730, Herlev, Denmark
| | - Christian Dehlendorff
- Unit of Statistics and Pharmacoepidemiology, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
| | - Susanne O Dalton
- Survivorship and Inequality in Cancer, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
- Department of Oncology, Zealand University Hospital, Ringstedgade 61, DK-4700, Næstved, Denmark
| | - Dorte L Nielsen
- Department of Oncology, Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej 7, DK-2730, Herlev, Denmark
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Darvall JN, Byrne T, Douglas N, Anstey JR. Intensive Care Practice in the Cancer Patient Population:
Special Considerations and Challenges. CURRENT ANESTHESIOLOGY REPORTS 2018. [DOI: 10.1007/s40140-018-0293-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Nassar AP, Dettino ALA, Amendola CP, Dos Santos RA, Forte DN, Caruso P. Oncologists' and Intensivists' Attitudes Toward the Care of Critically Ill Patients with Cancer. J Intensive Care Med 2017; 34:811-817. [PMID: 28675982 DOI: 10.1177/0885066617716105] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Patients with cancer represent an important proportion of intensive care unit (ICU) admissions. Oncologists and intensivists have distinct knowledge backgrounds, and conflicts about the appropriate management of these patients may emerge. METHODS We surveyed oncologists and intensivists at 2 academic cancer centers regarding their management of 2 hypothetical patients with different cancer types (metastatic pancreatic cancer and metastatic breast cancer with positive receptors for estrogen, progesterone, and HER-2) who develop septic shock and multiple organ failure. RESULTS Sixty intensivists and 46 oncologists responded to the survey. Oncologists and intensivists similarly favored withdrawal of life support measures for the patient with pancreatic cancer (33/46 [72%] vs 48/60 [80%], P = .45). On the other hand, intensivists favored more withdrawal of life support measures for the patient with breast cancer compared to oncologists (32/59 [54%] vs 9/44 [21%], P < .001). In the multinomial logistic regression, the oncology specialists were more likely to advocate for a full-code status for the patient with breast cancer (OR = 5.931; CI 95%, 1.762-19.956; P = .004). CONCLUSIONS Oncologists and intensivists share different views regarding life support measures in critically ill patients with cancer. Oncologists tend to focus on the cancer characteristics, whereas intensivists focus on multiple organ failure when weighing in on the same decisions. Regular meetings between oncologists and intensivists may reduce possible conflicts regarding the critical care of patients with cancer.
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Affiliation(s)
- Antonio Paulo Nassar
- 1 Intensive Care Unit, A.C. Camargo Cancer Center, São Paulo, Brazil.,2 Intensive Care Unit, Discipline of Medical Emergencies, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | | | | | - Rodrigo Alves Dos Santos
- 4 Intensive Care Unit, Pio XII Foundation, Barretos Cancer Hospital, Barretos, Brazil.,5 Barretos School of Health Sciences, Barretos, Brazil
| | - Daniel Neves Forte
- 2 Intensive Care Unit, Discipline of Medical Emergencies, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil.,6 Department of Palliative Care, Hospital Sírio Libanês, São Paulo, Brazil
| | - Pedro Caruso
- 1 Intensive Care Unit, A.C. Camargo Cancer Center, São Paulo, Brazil.,7 Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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5
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Shimabukuro-Vornhagen A, Böll B, Kochanek M, Azoulay É, von Bergwelt-Baildon MS. Critical care of patients with cancer. CA Cancer J Clin 2016; 66:496-517. [PMID: 27348695 DOI: 10.3322/caac.21351] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Answer questions and earn CME/CNE The increasing prevalence of patients living with cancer in conjunction with the rapid progress in cancer therapy will lead to a growing number of patients with cancer who will require intensive care treatment. Fortunately, the development of more effective oncologic therapies, advances in critical care, and improvements in patient selection have led to an increased survival of critically ill patients with cancer. As a consequence, critical care has become an important cornerstone in the continuum of modern cancer care. Although, in many aspects, critical care for patients with cancer does not differ from intensive care for other seriously ill patients, there are several challenging issues that are unique to this patient population and require special knowledge and skills. The optimal management of critically ill patients with cancer necessitates expertise in oncology, critical care, and palliative medicine. Cancer specialists therefore have to be familiar with key principles of intensive care for critically ill patients with cancer. This review provides an overview of the state-of-the-art in the individualized management of critically ill patients with cancer. CA Cancer J Clin 2016;66:496-517. © 2016 American Cancer Society.
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Affiliation(s)
- Alexander Shimabukuro-Vornhagen
- Consultant, Medical Intensive Care Program, Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- Member, Cologne-Bonn Center for Integrated Oncology, University Hospital of Cologne, Cologne, Germany
- Founding Member, Intensive Care in Hemato-Oncologic Patients (iCHOP), Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Boris Böll
- Member, Cologne-Bonn Center for Integrated Oncology, University Hospital of Cologne, Cologne, Germany
- Founding Member, Intensive Care in Hemato-Oncologic Patients (iCHOP), Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- Head of Medical Intensive Care Program, Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Matthias Kochanek
- Member, Cologne-Bonn Center for Integrated Oncology, University Hospital of Cologne, Cologne, Germany
- Founding Member, Intensive Care in Hemato-Oncologic Patients (iCHOP), Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- Program Director, Medical Intensive Care Program, Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Éli Azoulay
- Director, Medical Intensive Care Unit, St. Louis Hospital, Paris, France
- Professor of Medicine, Teaching and Research Unit, Department of Medicine, Paris Diderot University, Paris, France
- Chair, Study Group for Respiratory Intensive Care in Malignancies, St. Louis Hospital, Paris, France
| | - Michael S von Bergwelt-Baildon
- Founding Member, Intensive Care in Hemato-Oncologic Patients (iCHOP), Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- Program Director, Medical Intensive Care Program, Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- Professor, Cologne-Bonn Center for Integrated Oncology, University Hospital of Cologne, Cologne, Germany
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Shrime MG, Ferket BS, Scott DJ, Lee J, Barragan-Bradford D, Pollard T, Arabi YM, Al-Dorzi HM, Baron RM, Hunink MGM, Celi LA, Lai PS. Time-Limited Trials of Intensive Care for Critically Ill Patients With Cancer: How Long Is Long Enough? JAMA Oncol 2016; 2:76-83. [PMID: 26469222 DOI: 10.1001/jamaoncol.2015.3336] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Time-limited trials of intensive care are commonly used in patients perceived to have a poor prognosis. The optimal duration of such trials is unknown. Factors such as a cancer diagnosis are associated with clinician pessimism and may affect the decision to limit care independent of a patient's severity of illness. OBJECTIVE To identify the optimal duration of intensive care for short-term mortality in critically ill patients with cancer. DESIGN, SETTING, AND PARTICIPANTS Decision analysis using a state-transition microsimulation model was performed to simulate the hospital course of patients with poor-prognosis primary tumors, metastatic disease, or hematologic malignant neoplasms admitted to medical and surgical intensive care units. Transition probabilities were derived from 920 participants stratified by sequential organ failure assessment (SOFA) scores to identify severity of illness. The model was validated in 3 independent cohorts with 349, 158, and 117 participants from quaternary care academic hospitals. Monte Carlo microsimulation was performed, followed by probabilistic sensitivity analysis. Outcomes were assessed in the overall cohort and in solid tumors alone. INTERVENTIONS Time-unlimited vs time-limited trials of intensive care. MAIN OUTCOMES AND MEASURES 30-day all-cause mortality and mean survival duration. RESULTS The SOFA scores at ICU admission were significantly associated with mortality. A 3-, 8-, or 15-day trial of intensive care resulted in decreased mean 30-day survival vs aggressive care in all but the sickest patients (SOFA score, 5-9: 48.4% [95% CI, 48.0%-48.8%], 60.6% [95% CI, 60.2%-61.1%], and 66.8% [95% CI, 66.4%-67.2%], respectively, vs 74.6% [95% CI, 74.3%-75.0%] with time-unlimited aggressive care; SOFA score, 10-14: 36.2% [95% CI, 35.8%-36.6%], 44.1% [95% CI, 43.6%-44.5%], and 46.1% [95% CI, 45.6%-46.5%], respectively, vs 48.4% [95% CI, 48.0%-48.8%] with aggressive care; SOFA score, ≥ 15: 5.8% [95% CI, 5.6%-6.0%], 8.1% [95% CI, 7.9%-8.3%], and 8.3% [95% CI, 8.1%-8.6%], respectively, vs 8.8% [95% CI, 8.5%-9.0%] with aggressive care). However, the clinical magnitude of these differences was variable. Trial durations of 8 days in the sickest patients offered mean survival duration that was no more than 1 day different from time-unlimited care, whereas trial durations of 10 to 12 days were required in healthier patients. For the subset of patients with solid tumors, trial durations of 1 to 4 days offered mean survival that was not statistically significantly different from time-unlimited care. CONCLUSIONS AND RELEVANCE Trials of ICU care lasting 1 to 4 days may be sufficient in patients with poor-prognosis solid tumors, whereas patients with hematologic malignant neoplasms or less severe illness seem to benefit from longer trials of intensive care.
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Affiliation(s)
- Mark G Shrime
- Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts 2Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts
| | - Bart S Ferket
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands 4Department of Population Health Science and Policy, Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Daniel J Scott
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, Massachusetts
| | - Joon Lee
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
| | - Diana Barragan-Bradford
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts8Harvard Medical School, Boston, Massachusetts
| | - Tom Pollard
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, Massachusetts
| | - Yaseen M Arabi
- Intensive Care Department, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia10King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Hasan M Al-Dorzi
- Intensive Care Department, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia10King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Rebecca M Baron
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts8Harvard Medical School, Boston, Massachusetts
| | - M G Myriam Hunink
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands 11Center for Health Decision Science, Harvard School of Public Health, Boston, Massachusetts
| | - Leo A Celi
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, Massachusetts8Harvard Medical School, Boston, Massachusetts
| | - Peggy S Lai
- Harvard Medical School, Boston, Massachusetts12Pulmonary and Critical Care Unit, Massachusetts General Hospital, Boston, Massachusetts
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Abstract
OBJECTIVES Although critical care physicians view obesity as an independent poor prognostic marker, growing evidence suggests that obesity is, instead, associated with improved mortality following ICU admission. However, this prior empirical work may be biased by preferential admission of obese patients to ICUs, and little is known about other patient-centered outcomes following critical illness. We sought to determine whether 1-year mortality, healthcare utilization, and functional outcomes following a severe sepsis hospitalization differ by body mass index. DESIGN Observational cohort study. SETTING U.S. hospitals. PATIENTS We analyzed 1,404 severe sepsis hospitalizations (1999-2005) among Medicare beneficiaries enrolled in the nationally representative Health and Retirement Study, of which 597 (42.5%) were normal weight, 473 (33.7%) were overweight, and 334 (23.8%) were obese or severely obese, as assessed at their survey prior to acute illness. Underweight patients were excluded a priori. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Using Medicare claims, we identified severe sepsis hospitalizations and measured inpatient healthcare facility use and calculated total and itemized Medicare spending in the year following hospital discharge. Using the National Death Index, we determined mortality. We ascertained pre- and postmorbid functional status from survey data. Patients with greater body mass indexes experienced lower 1-year mortality compared with nonobese patients, and there was a dose-response relationship such that obese (odds ratio = 0.59; 95% CI, 0.39-0.88) and severely obese patients (odds ratio = 0.46; 95% CI, 0.26-0.80) had the lowest mortality. Total days in a healthcare facility and Medicare expenditures were greater for obese patients (p < 0.01 for both comparisons), but average daily utilization (p = 0.44) and Medicare spending were similar (p = 0.65) among normal, overweight, and obese survivors. Total function limitations following severe sepsis did not differ by body mass index category (p = 0.64). CONCLUSIONS Obesity is associated with improved mortality among severe sepsis patients. Due to longer survival, obese sepsis survivors use more healthcare and result in higher Medicare spending in the year following hospitalization. Median daily healthcare utilization was similar across body mass index categories.
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Ramos JGR, Perondi B, Dias RD, Miranda LC, Cohen C, Carvalho CRR, Velasco IT, Forte DN. Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2016; 20:81. [PMID: 27036102 PMCID: PMC4818478 DOI: 10.1186/s13054-016-1262-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 03/08/2016] [Indexed: 11/10/2022]
Abstract
BACKGROUND Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine's prioritization system. In this study, we sought to evaluate the reliability and validity of this algorithm. METHODS Nine senior physicians evaluated forty clinical vignettes based on real patients. The reference standard was defined as the priorities ascribed by two investigators with full access to patients' records. Agreement of algorithm-based priorities with the reference standard and with intuitive priorities provided by the physicians were evaluated. Correlations between algorithm prioritization and physicians' judgment of the appropriateness of ICU admissions in scarcity and nonscarcity settings were also evaluated. Validity was further assessed by retrospectively applying this algorithm to 603 patients with requests for ICU admission for association with clinical outcomes. RESULTS Agreement between algorithm-based priorities and the reference standard was substantial, with a median κ of 0.72 (interquartile range [IQR] 0.52-0.77). Algorithm-based priorities demonstrated higher interrater reliability (overall κ 0.61, 95% confidence interval [CI] 0.57-0.65; median percentage agreement 0.64, IQR 0.59-0.70) than physicians' intuitive prioritization (overall κ 0.51, 95% CI 0.47-0.55; median percentage agreement 0.49, IQR 0.44-0.56) (p = 0.001). Algorithm-based priorities were also associated with physicians' judgment of appropriateness of ICU admission (priorities 1, 2, 3, and 4 vignettes would be admitted to the last ICU bed in 83.7%, 61.2%, 45.2%, and 16.8% of the scenarios, respectively; p < 0.001) and with actual ICU admission, palliative care consultation, and hospital mortality in the retrospective cohort. CONCLUSIONS This ICU admission triage algorithm demonstrated good reliability and validity. However, more studies are needed to evaluate a difference in benefit of ICU admission justifying the admission of one priority stratum over the others.
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Affiliation(s)
- Joao Gabriel Rosa Ramos
- Medical sciences doctoral program, University of Sao Paulo Medical School, Sao Paulo, Brazil. .,Intensive Care Unit, Hospital Sao Rafael, Salvador, Brazil. .,UNIME Medical School, Lauro de Freitas, Brazil.
| | - Beatriz Perondi
- Emergency Department, Hospital das Clinicas, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Roger Daglius Dias
- Emergency Department, Hospital das Clinicas, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | | | - Claudio Cohen
- Bioethics Committee, Hospital das Clinicas, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Discipline of Bioethics, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Carlos Roberto Ribeiro Carvalho
- Pulmonary Division, Heart Institute (InCor), Hospital das Clinicas, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Irineu Tadeu Velasco
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clinicas, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Daniel Neves Forte
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clinicas, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Palliative Care Team, Hospital Sirio-Libanes, Sao Paulo, Brazil
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Soubani AO, Chen W, Jang H. The outcome of acute respiratory distress syndrome in relation to body mass index and diabetes mellitus. Heart Lung 2015. [PMID: 26212460 DOI: 10.1016/j.hrtlng.2015.06.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To determine the 28 day mortality of patients with ARDS in relation to body mass index (BMI) and presence diabetes mellitus (DM). DESIGN Retrospective cohort study of patients enrolled in the ARDS Network randomized controlled trials. RESULTS 2914 patients were enrolled in these trials. 112 patients were underweight (BMI < 18.5), 948 patients were normal range (18.5 ≤ BMI < 25.0), 801 patients were overweight (25.0 ≤ BMI < 30.0), 687 patients were obese (30.0 ≤ BMI < 40.0), and 175 patients were severely obese (BMI ≥ 40.0). 469 patients had DM. There was no significant difference in the 28 day mortality in relation to BMI or presence of DM (underweight adjusted OR, 1.217; 95% CI, 0.749-1.979; overweight adjusted OR, 0.887; 95% CI, 0.696-1.131; obese adjusted OR, 0.812; 95% CI, 0.624-1.056; severely obese adjusted OR, 1.102; 95% CI, 0.716-1.695; and DM adjusted OR, 0.938; 95% CI, 0.728-1.208). CONCLUSIONS The short term mortality in patients with ARDS is not affected by BMI or the presence of DM.
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Affiliation(s)
- Ayman O Soubani
- Section of Pulmonary and Critical Care Medicine, Wayne State University School of Medicine, Detroit, MI, USA.
| | - Wei Chen
- Department of Oncology, Karmanos Cancer Center, Wayne State University School of Medicine, Detroit, MI, USA
| | - Hyejeong Jang
- Department of Oncology, Karmanos Cancer Center, Wayne State University School of Medicine, Detroit, MI, USA
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Abstract
Obesity is highly prevalent in the United States and is becoming increasingly common worldwide. The anatomic and physiological changes that occur in obese individuals may have an impact across the spectrum of critical illness. Obese patients may be more susceptible to hypoxemia and hypercapnia. During mechanical ventilation, elevated end-expiratory pressures may be required to improve lung compliance and to prevent ventilation-perfusion mismatch due to distal airway collapse. Several studies have shown an increased risk of organ dysfunction such as the acute respiratory distress syndrome and acute kidney injury in obese patients. Predisposition to ventricular hypertrophy and increases in blood volume should be considered in fluid management decisions. Obese patients have accelerated muscle losses in critical illness, making nutrition essential, although the optimal predictive equation to estimate nutritional needs or formulation for obese patients is not well established. Many common intensive care unit medications are not well studied in obese patients, necessitating understanding of pharmacokinetic concepts and consultation with pharmacists. Obesity is associated with higher risk of deep venous thrombosis and catheter-associated bloodstream infections, likely related to greater average catheter dwell times. Logistical issues such as blood pressure cuff sizing, ultrasound assistance for procedures, diminished quality of some imaging modalities, and capabilities of hospital equipment such as beds and lifts are important considerations. Despite the physiological alterations and logistical challenges involved, it is not clear whether obesity has an effect on mortality or long-term outcomes from critical illness. Effects may vary by type of critical illness, obesity severity, and obesity-associated comorbidities.
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11
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Ghanem-Zoubi N, Bitterman H, Laor A, Yurin V, Vardi M. The accuracy of clinical prediction of prognosis for patients admitted with sepsis to internal medicine departments. Ann Med 2015; 47:555-60. [PMID: 26426517 DOI: 10.3109/07853890.2015.1089361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Prognosis estimation offered by physicians for patients inflicted by sepsis on their admission to Internal Medicine (IM) departments is considered a challenge. Early prognosis estimation is critical and determines the intensity of treatment offered. The accuracy of prognosis estimation made by physicians has previously been investigated mainly among intensive care physicians and oncologists. OBJECTIVE To ascertain the accuracy of prognosis prediction made by internists for septic patients on admission to IM departments. METHODS Physicians were asked to estimate the prognosis of every patient identified to have sepsis on admission. Their intuitive assessment of prognosis was incorporated into the patients' electronic medical record. Survival follow-up was recorded until death or for at least 2 years. Later we compared survival with physicians' prognosis estimations. RESULTS Prognosis estimation was recorded for 1,073 consecutive septic patients admitted throughout the years 2008-2009 to IM departments. The mean age of patients was 74.7 ± 16.1 years. A total of 42.4% were suspected to have pneumonia, and 65.4% died during a mean follow-up time of 661.1 ± 612.3 days. Almost half of the patients classified to have good prognosis survived compared to 14.9% and 4.9% of those with intermediate and bad prognosis estimation, respectively (P < 0.001). CONCLUSION Internists can discriminate well between septic patients with good, intermediate, and bad prognosis.
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Affiliation(s)
| | - Haim Bitterman
- b Internal Medicine Department , Carmel Medical Center , Haifa , Israel.,c The Ruth and Bruce Rappaport Faculty of Medicine , Technion-Israel Institute of Technology , Haifa , Israel
| | - Arie Laor
- b Internal Medicine Department , Carmel Medical Center , Haifa , Israel
| | - Vitaly Yurin
- b Internal Medicine Department , Carmel Medical Center , Haifa , Israel
| | - Moshe Vardi
- d Harvard Clinical Research Institute , Boston , MA , USA.,e School of Public Health, Boston University , Boston , MA , USA
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Xu H, Garver H, Fernandes R, Galligan JJ, Fink GD. Altered L-type Ca2+ channel activity contributes to exacerbated hypoperfusion and mortality in smooth muscle cell BK channel-deficient septic mice. Am J Physiol Regul Integr Comp Physiol 2014; 307:R138-48. [PMID: 24829499 DOI: 10.1152/ajpregu.00117.2014] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We determined the contribution of vascular large conductance Ca2+-activated K+ (BK) and L-type Ca2+ channel dysregulation to exaggerated mortality in cecal ligation/puncture (CLP)-induced septic BK channel β1-subunit knockout (BK β1-KO, smooth muscle specific) mice. CLP-induced hemodynamic changes and mortality were assessed over 7 days in wild-type (WT) and BK β1-KO mice that were either untreated, given volume resuscitation (saline), or saline + calcium channel blocker nicardipine. Some mice were euthanized 24 h post-CLP to measure tissue injury and vascular and immune responses. CLP-induced hypotension was similar in untreated WT and BK β1-KO mice, but BK β1-KO mice died sooner. At 24 h post-CLP (mortality latency in BK β1-KO mice), untreated CLP-BK β1-KO mice showed more severe hypothermia, lower tissue perfusion, polymorphonuclear neutrophil infiltration-independent severe intestinal necrosis, and higher serum cytokine levels than CLP-WT mice. Saline resuscitation improved survival in CLP-WT but not CLP-BK β1-KO mice. Saline + nicardipine-treated CLP-BK β1-KO mice exhibited longer survival times, higher tissue perfusion, less intestinal injury, and lower cytokines versus untreated CLP-BK β1-KO mice. These improvements were absent in treated CLP-WT mice, although saline + nicardipine improved blood pressure similarly in both septic mice. At 24 h post-CLP, BK and L-type Ca2+ channel functions in vitro were maintained in mesenteric arteries from WT mice. Mesenteric arteries from BK β1-KO mice had blunted BK/enhanced L-type Ca2+ channel function. We conclude that vascular BK channel deficiency exaggerates mortality in septic BK β1-KO mice by activating L-type Ca2+ channels leading to blood pressure-independent tissue ischemia.
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Chang DW, Brass EP. Patient and hospital-level characteristics associated with the use of do-not-resuscitate orders in patients hospitalized for sepsis. J Gen Intern Med 2014; 29:1256-62. [PMID: 24928264 PMCID: PMC4139525 DOI: 10.1007/s11606-014-2906-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 04/20/2014] [Accepted: 05/16/2014] [Indexed: 12/21/2022]
Abstract
BACKGROUND Identifying factors associated with do-not-resuscitate (DNR) orders is an informative step in developing strategies to improve their use. As such, a descriptive analysis of the factors associated with the use of DNR orders in the early and late phases of hospitalizations for sepsis was performed. METHODS A retrospective cohort of adult patients hospitalized for sepsis was identified using a statewide administrative database. DNR orders placed within 24 h of hospitalization (early DNR) and after 24 h of hospitalization (late DNR) were the primary outcome variables. Multivariable logistic regression analysis was used to identify patient, hospital, and healthcare system-related factors associated with the use of early and late DNR orders. RESULTS Among 77,329 patients hospitalized for sepsis, 27.5 % had a DNR order during their hospitalization. Among the cases with a DNR order, 75.5 % had the order within 24 h of hospitalization. Smaller hospital size and the absence of a teaching program increased the likelihood of an early DNR order being written. Additionally, greater patient age, female gender, White race, more medical comorbidities, Medicare payer status and admission from a skilled nursing facility were all significantly associated with the likelihood of having an early DNR. The strength of association between these factors and the use of late DNR orders was weaker. In contrast, the greater the burden of medical comorbidities, the more likely a patient was to receive a late DNR order. CONCLUSION Multiple patient, hospital, and healthcare system-related factors are associated with the use of DNR orders in sepsis, many of which appear to be independent of a patient's clinical status. Over the course of the hospitalization, the burden of medical illness shows a stronger association relative to other variables. The influence of these multi-level factors needs to be recognized in strategies to improve the use of DNR orders. .
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Affiliation(s)
- Dong W Chang
- Division of Respiratory and Critical Care Physiology and Medicine, Los Angeles Biomed Research Institute, Harbor-University of California Los Angeles Medical Center, Torrance, CA, USA,
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14
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Prolonged postsurgical recovery period and adverse effects of a leptin application in endotoxemic obese rodents. Life Sci 2013; 93:247-56. [DOI: 10.1016/j.lfs.2013.06.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2013] [Revised: 05/29/2013] [Accepted: 06/13/2013] [Indexed: 01/10/2023]
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Kelly SG, Hawley M, O'Brien J. Impact of bed availability on requesting and offering in-hospital intensive care unit transfers: a survey study of generalists and intensivists. J Crit Care 2013; 28:461-8. [PMID: 23312125 DOI: 10.1016/j.jcrc.2012.10.070] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2012] [Revised: 09/19/2012] [Accepted: 10/30/2012] [Indexed: 11/16/2022]
Abstract
PURPOSE To evaluate whether bed availability affects a physician's decision to request or offer an intensive care unit (ICU) transfer. MATERIALS AND METHODS We administered mail-based surveys to determine the respondents' probability of either requesting an ICU transfer (generalist respondents) or offering an ICU transfer (intensivist respondents). Respondents randomly received clinical vignettes that were identical except for the number of available ICU beds (one or seven available ICU beds). Respondents also made predictions about the patient's outcomes. RESULTS Among generalists and intensivists, there were wide ranges in decisions about ICU transfer. In the Generalist ICU request study, the average probability of transfer with one versus seven available ICU beds was 52.2% and 58.5% (P = .41), respectively. In the Intensivist ICU offer study, the average probability of transfer with one versus seven available ICU beds was 62.5% and 57.4% (P = .24), respectively. The most consistent association with decisions about ICU transfer was the predicted probability that a patient would require an ICU bed in the future if not transferred currently. CONCLUSIONS There is high variability in the decision to request or offer ICU beds. There was not a significant association between bed availability and ICU transfer decisions.
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Affiliation(s)
- Sean G Kelly
- Department of Internal Medicine, University of Wisconsin Hospitals and Clinics, 4240-01A MCFB, Madison, Wisconsin 53705, USA.
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Barriers to feeding critically ill patients: A multicenter survey of critical care nurses. J Crit Care 2012; 27:727-34. [DOI: 10.1016/j.jcrc.2012.07.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2012] [Revised: 07/03/2012] [Accepted: 07/04/2012] [Indexed: 11/17/2022]
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Variation in the care of septic shock: The impact of patient and hospital characteristics. J Crit Care 2012; 27:329-36. [DOI: 10.1016/j.jcrc.2011.12.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2011] [Revised: 11/24/2011] [Accepted: 12/06/2011] [Indexed: 12/15/2022]
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The association between body mass index, processes of care, and outcomes from mechanical ventilation: a prospective cohort study. Crit Care Med 2012; 40:1456-63. [PMID: 22430246 DOI: 10.1097/ccm.0b013e31823e9a80] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To determine the association between excess weight and processes of care and outcomes for critically ill adults. DESIGN Prospective cohort study. SETTING Three medical intensive care units at two hospitals. PATIENTS Five hundred eighty mechanically ventilated adult patients admitted between February 1, 2006 and January 31, 2008. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS After adjusting weight based on the recorded fluid balance before enrollment, 21.9% of subjects were categorized into different body mass index categories than without this adjustment. We used a competing risk analysis with events of interest considered death during hospitalization and successful liberation from mechanical ventilation. We found no statistically significant difference between body mass index categories (<25 kg/m² vs. 25 to <30 kg/m² vs. ≥30 kg/m²) in the competing risks analyses when the results were unadjusted or adjusted for severity of illness and comorbidities. When the analyses were adjusted for the use of continuous infusions of opioids and/or sedatives and ventilator parameters (tidal volume per ideal body weight, positive end-expiratory pressure, and airway pressure), subjects with an overweight fluid-balance-adjusted body mass index had significantly lower hazard ratios for dying while hospitalized (adjusted hazard ratio 0.68 [95% confidence interval 0.47-0.99], p=.044), and those with an obese fluid-adjusted body mass index had significantly higher hazard ratios for successful extubation (adjusted hazard ratio 1.53 [95% confidence interval 1.14-2.06], p=.005). An analysis of longer-term mortality found lower adjusted hazard ratios for subjects with overweight (adjusted hazard ratio 0.74 [95% confidence interval 0.56-0.96]) and obese (adjusted hazard ratio 0.74 [95% confidence interval 0.59-0.94]) fluid-balance-adjusted body mass indices. CONCLUSIONS Processes of provided care may affect the observed association between excess weight and outcomes for critically ill adults and should be considered when making inferences about observed results. It is unknown if disparities in processes of care are due to clinically justified reasons for variation, bias against heavier patients, or other reasons.
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Spoelstra-de Man AME, van der Hoeven JG, Heunks LMA. Effect of do-not-resuscitate orders on the penumbra of care. Intensive Care Med 2012; 38:726-7. [DOI: 10.1007/s00134-011-2461-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2011] [Indexed: 11/24/2022]
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Okon TR, Vats HS, Dart RA. Palliative medicine referral in patients undergoing continuous renal replacement therapy for acute kidney injury. Ren Fail 2011; 33:707-17. [PMID: 21787162 DOI: 10.3109/0886022x.2011.589946] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Referral patterns for palliative medicine consultation (PMC) by intensivists for patients requiring continuous renal replacement therapy (CRRT) have not been studied. METHODS We retrospectively analyzed clinical data on patients who received CRRT in a tertiary referral center between 1999 and 2006 to determine timeliness and effectiveness of PMC referrals and mortality rate as a surrogate for safety among patients receiving CRRT for acute kidney injury. RESULTS Over one-fifth (21.1%) of the 230 CRRT patients studied were referred for PMC (n = 55). PMC was requested on average after median of 15 hospital and 13 intensive care unit (ICU) days. Multivariate regression analysis revealed no association between mortality risk and PMC. Total hospital length of stay for patients who died after PMC referral was 18.5 (95% CI = 15-25) days compared with 12.5 days (95% CI = 9-17) for patients who died without PMC referral. ICU care for patients who died and received PMC was longer than for patients with no PMC [11.5 (95% CI = 9-15) days vs. 7.0 (95% CI = 6-9) days, p < 0.01]. CRRT duration was longer for patients who died and received PMC referral than for those without PMC [5.5 (95% CI = 4-8) vs. 3.0 (95% CI = 3-4) days; p < 0.01]. CONCLUSIONS PMC was safe, but referrals were delayed and ineffective in optimizing the utilization of intensive care in patients receiving CRRT. A proactive, "triggered" referral process will likely be necessary to improve timeliness of PMC and reduce duration of non-beneficial life-sustaining therapies.
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Affiliation(s)
- Tomasz R Okon
- Department of Palliative Medicine, Marshfield Clinic, Marshfield, WI 54449, USA.
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Martino JL, Stapleton RD, Wang M, Day AG, Cahill NE, Dixon AE, Suratt BT, Heyland DK. Extreme obesity and outcomes in critically ill patients. Chest 2011; 140:1198-1206. [PMID: 21816911 DOI: 10.1378/chest.10-3023] [Citation(s) in RCA: 108] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Recent literature suggests that obese critically ill patients do not have worse outcomes than patients who are normal weight. However, outcomes in extreme obesity (BMI ≥ 40 kg/m(2)) are unclear. We sought to determine the association between extreme obesity and ICU outcomes. METHODS We analyzed data from a multicenter international observational study of ICU nutrition practices that occurred in 355 ICUs in 33 countries from 2007 to 2009. Included patients were mechanically ventilated adults ≥ 18 years old who remained in the ICU for > 72 h. Using generalized estimating equations and Cox proportional hazard modeling with clustering by ICU and adjusting for potential confounders, we compared extremely obese to normal-weight patients in terms of duration of mechanical ventilation (DMV), ICU length of stay (LOS), hospital LOS, and 60-day mortality. RESULTS Of the 8,813 patients included in this analysis, 3,490 were normal weight (BMI 18.5-24.9 kg/m(2)), 348 had BMI 40 to 49.9 kg/m(2), 118 had BMI 50 to 59.9 kg/m(2), and 58 had BMI ≥ 60 kg/m(2). Unadjusted analyses suggested that extremely obese critically ill patients have improved mortality (OR for death, 0.77; 95% CI, 0.62-0.94), but this association was not significant after adjustment for confounders. However, an adjusted analysis of survivors found that extremely obese patients have a longer DMV and ICU LOS, with the most obese patients (BMI ≥ 60 kg/m(2)) also having longer hospital LOS. CONCLUSIONS During critical illness, extreme obesity is not associated with a worse survival advantage compared with normal weight. However, among survivors, BMI ≥ 40 kg/m(2) is associated with longer time on mechanical ventilation and in the ICU. These results may have prognostic implications for extremely obese critically ill patients.
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Affiliation(s)
- Jenny L Martino
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, VT
| | - Renee D Stapleton
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, VT.
| | - Miao Wang
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, Canada
| | - Andrew G Day
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, Canada; Department of Community Health and Epidemiology, Queen's University, Kingston, ON, Canada
| | - Naomi E Cahill
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, Canada; Department of Community Health and Epidemiology, Queen's University, Kingston, ON, Canada
| | - Anne E Dixon
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, VT
| | - Benjamin T Suratt
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, VT
| | - Daren K Heyland
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, Canada; Department of Community Health and Epidemiology, Queen's University, Kingston, ON, Canada; Department of Medicine, Queen's University, Kingston, ON, Canada
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Minne L, Ludikhuize J, de Jonge E, de Rooij S, Abu-Hanna A. Prognostic models for predicting mortality in elderly ICU patients: a systematic review. Intensive Care Med 2011; 37:1258-68. [PMID: 21647716 DOI: 10.1007/s00134-011-2265-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2010] [Accepted: 04/19/2011] [Indexed: 11/25/2022]
Abstract
PURPOSE To systematically review prognostic research literature on development and/or validation of mortality predictive models in elderly patients. METHODS We searched the Scopus database until June 2010 for articles aimed at validating prognostic models for survival or mortality in elderly intensive care unit (ICU) patients. We assessed the models' fitness for their intended purpose on the basis of barriers for use reported in the literature, using the following categories: (1) clinical credibility, (2) methodological quality (based on an existing quality assessment framework), (3) external validity, (4) model performance, and (5) clinical effectiveness. RESULTS Seven studies were identified which met our inclusion criteria, one of which was an external validation study. In total, 17 models were found of which six were developed for the general adult ICU population and eleven specifically for elderly patients. Cohorts ranged from 148 to 12,993 patients and only smaller ones were obtained prospectively. The area under the receiver operating characteristic curve (AUC) was most commonly used to measure performance (range 0.71-0.88). The median number of criteria met for clinical credibility was 4.5 out of 7 (range 2.5-5.5) and 17 out of 20 for methodological quality (range 15-20). CONCLUSIONS Although the models scored relatively well on methodological quality, none of them can be currently considered sufficiently credible or valid to be applicable in clinical practice for elderly patients. Future research should focus on external validation, addressing performance measures relevant for their intended use, and on clinical credibility including the incorporation of factors specific for the elderly population.
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Affiliation(s)
- Lilian Minne
- Department of Medical Informatics, Academic Medical Center, Room J1b-124, PO Box 22660, 1100 DD Amsterdam, The Netherlands.
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O'Brien JM, Needham DM. Towards a better understanding of body mass index and patient outcomes. Anesth Analg 2011; 112:8-10. [PMID: 21173204 DOI: 10.1213/ane.0b013e3182025ca5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Corrales-Medina VF, Valayam J, Serpa JA, Rueda AM, Musher DM. The obesity paradox in community-acquired bacterial pneumonia. Int J Infect Dis 2011; 15:e54-7. [DOI: 10.1016/j.ijid.2010.09.011] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2010] [Revised: 08/17/2010] [Accepted: 09/21/2010] [Indexed: 10/18/2022] Open
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Hanses F, Spaeth C, Ehrenstein BP, Linde HJ, Schölmerich J, Salzberger B. Risk factors associated with long-term prognosis of patients with Staphylococcus aureus bacteremia. Infection 2010; 38:465-70. [PMID: 20878456 DOI: 10.1007/s15010-010-0059-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2010] [Accepted: 09/07/2010] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To estimate risk factors associated with long-term outcome (i.e., 1-year survival) in patients with Staphylococcus aureus bacteremia (SAB). METHODS AND MATERIALS This was a retrospective study in which the microbiological laboratory data records of patients admitted to the University Hospital of Regensburg between January 2004 and June 2005 were examined to identify those patients with blood cultures positive for S. aureus. Corresponding clinical records for all patients were reviewed using a standardized questionnaire. Of the 119 patients identified with SAB, 80 were available for the >1-year follow-up. RESULTS Crude 1-year mortality was 47.5; 30- and 90-day mortality was 28.8 and 37.5%, respectively. In-hospital mortality was 28.8%. There were no significant differences in 1-year survival in terms of age, gender, antibiotic resistance, and mode of acquisition (nosocomial vs. community-acquired). A significantly better survival was observed with an identifiable focus present, if the chosen empiric antibiotic therapy was adequate or if the body mass index of the patient was >24. CONCLUSION In summary, in this patient cohort, considerable additional mortality due to SAB beyond 30 or 90 days was present. Our results suggest that long-term survival data should be taken into account in outcome studies involving patients with S. aureus bacteremia.
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Affiliation(s)
- F Hanses
- Department of Internal Medicine I, University Hospital, University of Regensburg, 93042 Regensburg, Germany.
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O'Brien JM, Aberegg SK, Ali NA, Diette GB, Lemeshow S. Results from the National Sepsis Practice Survey: use of drotrecogin α (activated) and other therapeutic decisions. J Crit Care 2010; 25:658.e7-15. [PMID: 20646906 DOI: 10.1016/j.jcrc.2010.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2009] [Revised: 03/24/2010] [Accepted: 04/20/2010] [Indexed: 12/01/2022]
Abstract
PURPOSE We sought to evaluate factors associated with choices about provided care for patients with septic shock, including the use of drotrecogin α (activated) (DAA). MATERIALS AND METHODS We administered a mail-based survey to a random sample of intensivists. Study vignettes presented patients with septic shock with identical severity of illness scores but different ages, body mass indices, and comorbidities. Respondents estimated outcomes and selected care beyond standardized initial care (eg, antibiotics) for each hypothetical patient. RESULTS For most vignettes (99.1%), respondents added care, most commonly low tidal volume ventilation (87.6%) and enteral nutrition (73.3%). Choosing to administer DAA was not associated with predictions about mortality or bleeding. Vignettes with early-stage lung cancer were less likely to receive DAA. Time since medical school graduation was also associated with lower odds of selecting DAA. Most respondents (52.6%) chose identical care for all 4 completed vignettes. CONCLUSIONS There was wide variability in the therapeutic choices of respondents. The use of DAA was not associated with perceived risk of mortality or bleeding, as recommended by consensus guidelines. Physicians appear to base treatment decisions in septic shock on a consistent pattern of practice rather than estimates of patient outcome.
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Affiliation(s)
- James M O'Brien
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Center for Critical Care, Department of Internal Medicine, The Ohio State University Medical Center, Columbus, OH 43210, USA.
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Downar J. Even without our biases, the outlook for prognostication is grim. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2009; 13:168. [PMID: 19664178 PMCID: PMC2750147 DOI: 10.1186/cc7944] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Physicians are biased and imprecise, but we are better at predicting mortality in the intensive care unit than any mathematical model currently available. But even if we were flawless prognosticators, we would still be left with the larger ethical problem of what to do with prognostic information. In order to translate prognosis into recommendation, we need to know about patient values.
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Affiliation(s)
- James Downar
- University Health Network, Toronto, Ontario, Canada.
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