1
|
Hou GY, Lal A, Schulte PJ, Dong Y, Kilickaya O, Gajic O, Zhong X. INFORMING INTENSIVE CARE UNIT DIGITAL TWINS: DYNAMIC ASSESSMENT OF CARDIORESPIRATORY FAILURE TRAJECTORIES IN PATIENTS WITH SEPSIS. Shock 2025; 63:573-578. [PMID: 39847720 DOI: 10.1097/shk.0000000000002536] [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: 01/25/2025]
Abstract
ABSTRACT Understanding clinical trajectories of sepsis patients is crucial for prognostication, resource planning, and to inform digital twin models of critical illness. This study aims to identify common clinical trajectories based on dynamic assessment of cardiorespiratory support using a validated electronic health record data that covers retrospective cohort of 19,177 patients with sepsis admitted to intensive care units (ICUs) of Mayo Clinic Hospitals over 8-year period. Patient trajectories were modeled from ICU admission up to 14 days using an unsupervised machine learning two-stage clustering method based on cardiorespiratory support in ICU and hospital discharge status. Of 19,177 patients, 42% were female with a median age of 65 (interquartile range [IQR], 55-76) years, The Acute Physiology, Age, and Chronic Health Evaluation III score of 70 (IQR, 56-87), hospital length of stay (LOS) of 7 (IQR, 4-12) days, and ICU LOS of 2 (IQR, 1-4) days. Four distinct trajectories were identified: fast recovery (27% with a mortality rate of 3.5% and median hospital LOS of 3 (IQR, 2-15) days), slow recovery (62% with a mortality rate of 3.6% and hospital LOS of 8 (IQR, 6-13) days), fast decline (4% with a mortality rate of 99.7% and hospital LOS of 1 (IQR, 0-1) day), and delayed decline (7% with a mortality rate of 97.9% and hospital LOS of 5 (IQR, 3-8) days). Distinct trajectories remained robust and were distinguished by Charlson Comorbidity Index, The Acute Physiology, Age, and Chronic Health Evaluation III scores, as well as day 1 and day 3 SOFA ( P < 0.001 ANOVA). These findings provide a foundation for developing prediction models and digital twin decision support tools, improving both shared decision making and resource planning.
Collapse
Affiliation(s)
- Grace Yao Hou
- Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida
| | - Amos Lal
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
| | - Phillip J Schulte
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Yue Dong
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - Oguz Kilickaya
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
| | - Xiang Zhong
- Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida
| |
Collapse
|
2
|
Carrier FM, Cooper HA, Portela GT, Bertolet M, Lemesle G, Prochaska M, Kim S, Alexander JH, Crozier I, Ducrocq G, Quadros AS, Bagai A, Dracoulakis M, Madan M, Brooks MM, Carson JL, Hébert PC. Anemia Acuity Effect on Transfusion Strategies in Acute Myocardial Infarction: A Secondary Analysis of the MINT Trial. JAMA Netw Open 2024; 7:e2442361. [PMID: 39485351 PMCID: PMC11530937 DOI: 10.1001/jamanetworkopen.2024.42361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 09/08/2024] [Indexed: 11/03/2024] Open
Abstract
Importance In patients with acute myocardial infarction (MI), limited physiologic adaptation to acute anemia might lead to greater benefit from a liberal red blood cell (RBC) transfusion strategy. Data on such a possible benefit are lacking. Objectives To compare acute anemia with chronic anemia and post-MI outcomes and estimate the differential effect of a restrictive RBC transfusion strategy compared with a liberal strategy on post-MI outcomes according to anemia acuity. Design, Setting, and Participants A prespecified subgroup analysis of the Myocardial Ischemia and Transfusion (MINT) multicenter randomized clinical trial was conducted in 126 hospitals in 6 countries between April 26, 2017, and April 14, 2023, with 30-day follow-up and blinded adjudication of the primary outcome. The analysis included 3144 of 3504 MINT participants (89.7%) with acute MI, a hemoglobin (Hb) level less than 10 g/dL at randomization, and a first Hb measurement available on the day of or the day following hospital admission. Intervention The MINT trial randomized participants to a restrictive (Hb <7-8 g/dL) or liberal (Hb <10 g/dL) RBC transfusion strategy. Acute anemia was defined as having a first Hb value greater than 13 g/dL (men) or 12 g/dL (women), or as having a decrease greater than or equal to 2 g/dL between the first Hb measurement and measurement at randomization. Other Hb levels were categorized as chronic anemia. Main Outcomes and Measures The primary outcome was a composite of death or recurrent MI up to 30 days after randomization. Secondary outcomes were death, recurrent MI, cardiac death, heart failure, pulmonary complications, and major bleeding events. Intention-to-treat analysis was performed. Results Among 3144 included participants (mean [SD] age, 72.3 [11.6] years; 1715 [54.5%] male; 1307 [41.6%] with type 1 MI), 1078 [34.3%]) had acute anemia. Acute anemia was associated with an increased risk of death or recurrent MI (adjusted risk ratio, 1.25; 95% CI, 1.05-1.48). The effect of a restrictive RBC transfusion strategy compared with a liberal strategy was similar for participants with either acute or chronic anemia for all outcomes. Conclusions and Relevance In this secondary analysis of the MINT trial, acute anemia was associated with less favorable post-MI outcomes than chronic anemia but did not modify the effects of the randomized transfusion strategy. In patients with anemia and MI, the acuity of anemia should not influence the choice of transfusion trigger. Trial Registration ClinicalTrials.gov Identifier: NCT02981407.
Collapse
Affiliation(s)
- François M Carrier
- Department of Anesthesiology and Department of Medicine, Critical Care Division, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada
- Department of Anesthesiology and Pain Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Howard A Cooper
- Department of Cardiology, Westchester Medical Center, Valhalla, New York
| | - Gerard T Portela
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Marnie Bertolet
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Gilles Lemesle
- Heart and Lung Institute, University Hospital of Lille, CHU Lille, Lille, France
- Université de Lille, F-59000, Lille, France
- French Alliance for Cardiovascular Trials, Paris, France
- Institut Pasteur of Lille, Inserm U1011-EGID, Lille, France
| | - Micah Prochaska
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Sarang Kim
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - John H Alexander
- Duke Clinical Research Institute, Division of Cardiology, Duke University, Durham, North Carolina
| | - Ian Crozier
- Department of Cardiology, Christchurch Hospital, Christchurch, New Zealand
| | - Gregory Ducrocq
- Université de Paris, Assistance Publique-Hôpitaux de Paris, French Alliance for Cardiovascular Trials, INSERM U1148, Paris, France
| | - Alexandre S Quadros
- Department of Interventional Cardiology, Instituto de Cardiologia do Rio Grande do Sul, Porto Alegre, Brazil
| | - Akshay Bagai
- Terrence Donnelly Heart Center, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | | | - Mina Madan
- Division of Cardiology, Schulich Heart Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Maria M Brooks
- Epidemiology Data Center, Faculty in Epidemiology and Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jeffrey L Carson
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Paul C Hébert
- Innovation and Health Evaluation Hub, Centre de Recherche du CHUM, Montréal, Québec, Canada
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada
| |
Collapse
|
3
|
Huang J, Ji J, Zhao Y, Liu J. A retrospective observational study evaluating the association between vasoactive-inotropic score and mortality after major abdominal surgery. Sci Rep 2024; 14:15738. [PMID: 38977766 PMCID: PMC11231163 DOI: 10.1038/s41598-024-66641-6] [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: 12/11/2023] [Accepted: 07/03/2024] [Indexed: 07/10/2024] Open
Abstract
The relationship between VISmax and mortality in patients undergoing major abdominal surgery remains unclear. This study aims to evaluate the association between VISmax and both short-term and long-term all-cause mortality in patients undergoing major abdominal surgery, VISmax was calculated (VISmax = dopamine dose [µg/kg/min] + dobutamine dose [µg/kg/min] + 100 × epinephrine dose [µg/kg/min] + 10 × milrinone dose [µg/kg/min] + 10,000 × vasopressin dose [units/kg/min] + 100 × norepinephrine dose [µg/kg/min]) using the maximum dosing rates of vasoactives and inotropics within the first 24 h postoperative ICU admission. The study included 512 patients first admitted to the intensive care unit (ICU) who were administered vasoactive drugs after major abdominal surgery. The data was extracted from the medical information mart in intensive care-IV database. VISmax was stratified into five categories: 0-5, > 5-15, > 15-30, > 30-45, and > 45. Compared to patients with the lowest VISmax (≤ 5), those with the high VISmax (> 45) had an increased risk of 30-day mortality (hazard ratio [HR] 3.73, 95% CI 1.16-12.02; P = 0.03) and 1-year mortality (HR 2.76, 95% CI 1.09-6.95; P = 0.03) in fully adjusted Cox models. The ROC analysis for VISmax predicting 30-day and 1-year mortality yielded AUC values of 0.69 (95% CI 0.64-0.75) and 0.67 (95% CI 0.62-0.72), respectively. In conclusion, elevated VISmax within the first postoperative 24 h after ICU admission was associated with increased risks of both short-term and long-term mortality in patients undergoing major abdominal surgery.
Collapse
Affiliation(s)
- Jiao Huang
- Department of Anesthesiology, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China
| | - Jiemei Ji
- Department of Anesthesiology, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China
| | - Yang Zhao
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Road, Nanchong, 637000, Sichuan, China
| | - Jingchen Liu
- Department of Anesthesiology, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, China.
| |
Collapse
|
4
|
Liu Z, Wu X, Yang Y, Clifton DA. DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure Prediction. IEEE Trans Biomed Eng 2024; 71:1247-1256. [PMID: 38039165 DOI: 10.1109/tbme.2023.3331305] [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: 12/03/2023]
Abstract
OBJECTIVE Organ failure is a leading cause of mortality in hospitals, particularly in intensive care units. Predicting organ failure is crucial for clinical and social reasons. This study proposes a dual-keyless-attention (DuKA) model that enables interpretable predictions of organ failure using electronic health record (EHR) data. METHODS Three modalities of medical data from EHR, namely diagnosis, procedure, and medications, are selected to predict three types of vital organ failures: heart failure, respiratory failure, and kidney failure. DuKA utilizes pre-trained embeddings of medical codes and combines them using a modality-wise attention module and a medical concept-wise attention module to enhance interpretation. Three organ failure tasks are addressed using two datasets to verify the effectiveness of DuKA. RESULTS The proposed multi-modality DuKA model outperforms all reference and baseline models. The diagnosis history, particularly the presence of cachexia and previous organ failure, emerges as the most influential feature in organ failure prediction. CONCLUSIONS DuKA offers competitive performance, straightforward model interpretations and flexibility in terms of input sources, as the input embeddings can be trained using different datasets and methods. SIGNIFICANCE DuKA is a lightweight model that innovatively uses dual attention in a hierarchical way to fuse diagnosis, procedure and medication information for organ failure predictions. It also enhances disease comprehension and supports personalized treatment.
Collapse
|
5
|
Cox EGM, Zhang W, van der Voort PHJ, Lunter G, Keus F, Snieder H. Genetic association studies in critically ill patients: protocol for a systematic review. Syst Rev 2023; 12:233. [PMID: 38093336 PMCID: PMC10716946 DOI: 10.1186/s13643-023-02401-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 11/23/2023] [Indexed: 12/17/2023] Open
Abstract
INTRODUCTION Patients in the intensive care unit (ICU) are highly heterogeneous in characteristics, their clinical course, and outcomes. Genetic variability may partly explain the variability and similarity in disease courses observed among critically ill patients and may identify clusters of subgroups. The aim of this study is to conduct a systematic review of all genetic association studies of critically ill patients with their outcomes. METHODS AND ANALYSIS This systematic review will be conducted and reported according to the HuGE Review Handbook V1.0. We will search PubMed, Embase, and the Cochrane Library for relevant studies. All types of genetic association studies that included acutely admitted medical and surgical adult ICU patients will be considered for this review. All studies will be selected according to predefined selection criteria, evaluated and assessed for risk of bias independently by two reviewers. Risk of bias will be assessed according to the HuGE Review Handbook V1.0 with some modifications reflecting recent insights. We will provide an overview of all included studies by reporting the characteristics of the study designs, the patients included in the studies, the genetic variables, and the outcomes evaluated. ETHICS AND DISSEMINATION We will use data from peer-reviewed published articles, and hence, there is no requirement for ethics approval. The results of this systematic review will be disseminated through publication in a peer-reviewed scientific journal. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42021209744.
Collapse
Affiliation(s)
- Eline G M Cox
- Department of Critical Care, University Medical Center Groningen, Groningen, 9713 GZ, the Netherlands.
| | - Wenbo Zhang
- Department of Epidemiology, University Medical Center Groningen, Groningen, 9713 GZ, the Netherlands
| | - Peter H J van der Voort
- Department of Critical Care, University Medical Center Groningen, Groningen, 9713 GZ, the Netherlands
| | - Gerton Lunter
- Department of Epidemiology, University Medical Center Groningen, Groningen, 9713 GZ, the Netherlands
| | - Frederik Keus
- Department of Critical Care, University Medical Center Groningen, Groningen, 9713 GZ, the Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, Groningen, 9713 GZ, the Netherlands
| |
Collapse
|
6
|
Yang H, Wan XX, Ma H, Li Z, Weng L, Xia Y, Zhang XM. Prevalence and mortality risk of low skeletal muscle mass in critically ill patients: an updated systematic review and meta-analysis. Front Nutr 2023; 10:1117558. [PMID: 37252244 PMCID: PMC10213681 DOI: 10.3389/fnut.2023.1117558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 04/11/2023] [Indexed: 05/31/2023] Open
Abstract
Background Patients with critical illness often develop low skeletal muscle mass (LSMM) for multiple reasons. Numerous studies have explored the association between LSMM and mortality. The prevalence of LSMM and its association with mortality are unclear. This systematic review and meta-analysis was performed to examine the prevalence and mortality risk of LSMM among critically ill patients. Methods Three internet databases (Embase, PubMed, and Web of Science) were searched by two independent investigators to identify relevant studies. A random-effects model was used to pool the prevalence of LSMM and its association with mortality. The GRADE assessment tool was used to assess the overall quality of evidence. Results In total, 1,582 records were initially identified in our search, and 38 studies involving 6,891 patients were included in the final quantitative analysis. The pooled prevalence of LSMM was 51.0% [95% confidence interval (CI), 44.5-57.5%]. The subgroup analysis showed that the prevalence of LSMM in patients with and without mechanical ventilation was 53.4% (95% CI, 43.2-63.6%) and 48.9% (95% CI, 39.7-58.1%), respectively (P-value for difference = 0.44). The pooled results showed that critically ill patients with LSMM had a higher risk of mortality than those without LSMM, with a pooled odds ratio of 2.35 (95% CI, 1.91-2.89). The subgroup analysis based on the muscle mass assessment tool showed that critically ill patients with LSMM had a higher risk of mortality than those with normal skeletal muscle mass regardless of the different assessment tools used. In addition, the association between LSMM and mortality was statistically significant, independent of the different types of mortality. Conclusion Our study revealed that critically ill patients had a high prevalence of LSMM and that critically ill patients with LSMM had a higher risk of mortality than those without LSMM. However, large-scale and high-quality prospective cohort studies, especially those based on muscle ultrasound, are required to validate these findings. Systematic review registration http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022379200.
Collapse
Affiliation(s)
- Hui Yang
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Xi-Xi Wan
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Hui Ma
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Zhen Li
- Department of Urology, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Li Weng
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Ying Xia
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Xiao-Ming Zhang
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| |
Collapse
|
7
|
Cavaliere F, Biancofiore G, Bignami E, DE Robertis E, Giannini A, Grasso S, McCREDIE VA, Piastra M, Scolletta S, Taccone FS, Terragni P. A year in review in Minerva Anestesiologica 2022: critical care. Minerva Anestesiol 2023; 89:115-124. [PMID: 36745125 DOI: 10.23736/s0375-9393.22.17211-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Franco Cavaliere
- IRCCS A. Gemelli University Polyclinic Foundation, Sacred Heart Catholic University, Rome, Italy -
| | - Gianni Biancofiore
- Department of Transplant Anesthesia and Critical Care, University School of Medicine, Pisa, Italy
| | - Elena Bignami
- Division of Anesthesiology, Critical Care and Pain Medicine, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Edoardo DE Robertis
- Section of Anesthesia, Analgesia and Intensive Care, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Alberto Giannini
- Unit of Pediatric Anesthesia and Intensive Care, Children's Hospital - ASST Spedali Civili di Brescia, Brescia, Italy
| | - Salvatore Grasso
- Section of Anesthesiology and Intensive Care, Department of Emergency and Organ Transplantation, Polyclinic Hospital, Aldo Moro University, Bari, Italy
| | - Victoria A McCREDIE
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
| | - Marco Piastra
- Unit of Pediatric Intensive Care and Trauma Center, IRCCS A. Gemelli University Polyclinic Foundation, Sacred Heart Catholic University, Rome, Italy
| | - Sabino Scolletta
- Department of Emergency-Urgency and Organ Transplantation, Anesthesia and Intensive Care, University Hospital of Siena, Siena, Italy
| | - Fabio S Taccone
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Pierpaolo Terragni
- Division of Anesthesia and General Intensive Care, Department of Medical, Surgical and Experimental Sciences, University Hospital of Sassari, University of Sassari, Sassari, Italy
| |
Collapse
|
8
|
Park CH, Lee JW, Lee HJ, Oh DK, Park MH, Lim CM, Hong SK, the Korean Sepsis Alliance (KSA) investigators LimChae-ManHongSang-BumOhDong KyuSuhGee YoungJeonKyeongmanKoRyoung-EunChoYoung-JaeLeeYeon JooLimSung YoonParkSunghoonLimChae-ManHongSuk-KyungKwakSang HyunLeeSong-I.MoonJae YoungKimKyung ChanParkSunghoonParkTai SunChangYoujinSeongGil MyeongLeeHeung BumHeoJeongwonLeeJae-myeongChoWoo HyunJeonKyeongmanLeeYeon JooLeeSang-MinLeeSu HwanAhnJong-JoonChoiEun Young. Clinical outcomes and prognostic factors of patients with sepsis caused by intra-abdominal infection in the intensive care unit: a post-hoc analysis of a prospective cohort study in Korea. BMC Infect Dis 2022; 22:953. [PMID: 36536308 PMCID: PMC9764519 DOI: 10.1186/s12879-022-07837-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/03/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Sepsis is the most common cause of death in hospitals, and intra-abdominal infection (IAI) accounts for a large portion of the causes of sepsis. We investigated the clinical outcomes and factors influencing mortality of patients with sepsis due to IAI. METHODS This post-hoc analysis of a prospective cohort study included 2126 patients with sepsis who visited 16 tertiary care hospitals in Korea (September 2019-February 2020). The analysis included 219 patients aged > 19 years who were admitted to intensive care units owing to sepsis caused by IAI. RESULTS The incidence of septic shock was 47% and was significantly higher in the non-survivor group (58.7% vs 42.3%, p = 0.028). The overall 28-day mortality was 28.8%. In multivariable logistic regression, after adjusting for age, sex, Charlson Comorbidity Index, and lactic acid, only coagulation dysfunction (odds ratio: 2.78 [1.47-5.23], p = 0.001) was independently associated, and after adjusting for each risk factor, only simplified acute physiology score III (SAPS 3) (p < 0.001) and continuous renal replacement therapy (CRRT) (p < 0.001) were independently associated with higher 28-day mortality. CONCLUSIONS The SAPS 3 score and acute kidney injury with CRRT were independently associated with increased 28-day mortality. Additional support may be needed in patients with coagulopathy than in those with other organ dysfunctions due to IAI because patients with coagulopathy had worse prognosis.
Collapse
Affiliation(s)
- Chan Hee Park
- grid.412091.f0000 0001 0669 3109Division of Trauma Surgery, Department of Surgery, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Jeong Woo Lee
- grid.412091.f0000 0001 0669 3109Division of Trauma Surgery, Department of Surgery, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Hak Jae Lee
- grid.267370.70000 0004 0533 4667Division of Acute Care Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505 Republic of Korea
| | - Dong Kyu Oh
- grid.267370.70000 0004 0533 4667Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Mi Hyeon Park
- grid.267370.70000 0004 0533 4667Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chae-Man Lim
- grid.267370.70000 0004 0533 4667Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Suk-Kyung Hong
- grid.267370.70000 0004 0533 4667Division of Acute Care Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505 Republic of Korea
| | | |
Collapse
|
9
|
Zhou Q, Li T, Wang K, Zhang Q, Geng Z, Deng S, Cheng C, Wang Y. Current status of xenotransplantation research and the strategies for preventing xenograft rejection. Front Immunol 2022; 13:928173. [PMID: 35967435 PMCID: PMC9367636 DOI: 10.3389/fimmu.2022.928173] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/07/2022] [Indexed: 12/13/2022] Open
Abstract
Transplantation is often the last resort for end-stage organ failures, e.g., kidney, liver, heart, lung, and pancreas. The shortage of donor organs is the main limiting factor for successful transplantation in humans. Except living donations, other alternatives are needed, e.g., xenotransplantation of pig organs. However, immune rejection remains the major challenge to overcome in xenotransplantation. There are three different xenogeneic types of rejections, based on the responses and mechanisms involved. It includes hyperacute rejection (HAR), delayed xenograft rejection (DXR) and chronic rejection. DXR, sometimes involves acute humoral xenograft rejection (AHR) and cellular xenograft rejection (CXR), which cannot be strictly distinguished from each other in pathological process. In this review, we comprehensively discussed the mechanism of these immunological rejections and summarized the strategies for preventing them, such as generation of gene knock out donors by different genome editing tools and the use of immunosuppressive regimens. We also addressed organ-specific barriers and challenges needed to pave the way for clinical xenotransplantation. Taken together, this information will benefit the current immunological research in the field of xenotransplantation.
Collapse
Affiliation(s)
- Qiao Zhou
- Department of Rheumatology and Immunology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Ting Li
- Department of Rheumatology, Wenjiang District People’s Hospital, Chengdu, China
| | - Kaiwen Wang
- School of Medicine, Faculty of Medicine and Health, The University of Leeds, Leeds, United Kingdom
| | - Qi Zhang
- School of Medicine, University of Electronics and Technology of China, Chengdu, China
| | - Zhuowen Geng
- School of Medicine, Faculty of Medicine and Health, The University of Leeds, Leeds, United Kingdom
| | - Shaoping Deng
- Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
- Institute of Organ Transplantation, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, Chengdu, China
| | - Chunming Cheng
- Department of Radiation Oncology, James Comprehensive Cancer Center and College of Medicine at The Ohio State University, Columbus, OH, United States
- *Correspondence: Chunming Cheng, ; Yi Wang,
| | - Yi Wang
- Department of Critical Care Medicine, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, Chengdu, China
- *Correspondence: Chunming Cheng, ; Yi Wang,
| |
Collapse
|
10
|
Harnisch LO, Baumann S, Mihaylov D, Kiehntopf M, Bauer M, Moerer O, Quintel M. Biomarkers of Cholestasis and Liver Injury in the Early Phase of Acute Respiratory Distress Syndrome and Their Pathophysiological Value. Diagnostics (Basel) 2021; 11:diagnostics11122356. [PMID: 34943592 PMCID: PMC8699895 DOI: 10.3390/diagnostics11122356] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/17/2021] [Accepted: 12/13/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Impaired liver function and cholestasis are frequent findings in critically ill patients and are associated with poor outcomes. We tested the hypothesis that hypoxic liver injury and hypoxic cholangiocyte injury are detectable very early in patients with ARDS, may depend on the severity of hypoxemia, and may be aggravated by the use of rescue therapies (high PEEP level and prone positioning) but could be attenuated by extracorporeal membrane oxygenation (ECMO). Methods: In 70 patients with ARDS, aspartate-aminotransferase (AST), alanin-aminotransferase (ALT) and gamma glutamyltransferase (GGT) were measured on the day of the diagnosis of ARDS and three more consecutive days (day 3, day 5, day 10), total bile acids were measured on day 0, 3, and 5. Results: AST levels increased on day 0 and remained constant until day 5, then dropped to normal on day 10 (day 0: 66.5 U/l; day 3: 60.5 U/l; day 5: 63.5 U/l, day 10: 32.1 U/l), ALT levels showed the exact opposite kinetic. GGT was already elevated on day 0 (91.5 U/l) and increased further throughout (day 3: 163.5 U/l, day 5: 213 U/l, day 10: 307 U/l), total bile acids levels increased significantly from day 0 to day 3 (p = 0.019) and day 0 to day 5 (p < 0.001), but not between day 3 and day 5 (p = 0.217). Total bile acids levels were significantly correlated to GGT on day 0 (p < 0.001), day 3 (p = 0.02), and in a trend on day 5 (p = 0.055). PEEP levels were significantly correlated with plasma levels of AST (day 3), ALT (day 5) and GGT (day 10). Biomarker levels were not associated with the use of ECMO, prone position, the cause of ARDS, and paO2. Conclusions: We found no evidence of hypoxic liver injury or hypoxic damage to cholangiocytes being caused by the severity of hypoxemia in ARDS patients during the very early phase of the disease. Additionally, mean PEEP level, prone positioning, and ECMO treatment did not have an impact in this regard. Nevertheless, GGT levels were elevated from day zero and rising, this increase was not related to paO2, prone position, ECMO treatment, or mean PEEP, but correlated to total bile acid levels.
Collapse
Affiliation(s)
- Lars-Olav Harnisch
- Department of Anesthesiology, University of Goettingen Medical Center, Robert-Koch-Str. 40, 37075 Goettingen, Germany; (S.B.); (O.M.); (M.Q.)
- Correspondence:
| | - Sophie Baumann
- Department of Anesthesiology, University of Goettingen Medical Center, Robert-Koch-Str. 40, 37075 Goettingen, Germany; (S.B.); (O.M.); (M.Q.)
| | - Diana Mihaylov
- Institute of Clinical Chemistry and Laboratory Medicine of the University Hospital Jena, Am Klinikum 1, 07747 Jena, Germany; (D.M.); (M.K.)
| | - Michael Kiehntopf
- Institute of Clinical Chemistry and Laboratory Medicine of the University Hospital Jena, Am Klinikum 1, 07747 Jena, Germany; (D.M.); (M.K.)
| | - Michael Bauer
- Department of Anesthesiology, University Hospital Jena, Bachstr. 18, 07743 Jena, Germany;
| | - Onnen Moerer
- Department of Anesthesiology, University of Goettingen Medical Center, Robert-Koch-Str. 40, 37075 Goettingen, Germany; (S.B.); (O.M.); (M.Q.)
| | - Michael Quintel
- Department of Anesthesiology, University of Goettingen Medical Center, Robert-Koch-Str. 40, 37075 Goettingen, Germany; (S.B.); (O.M.); (M.Q.)
| |
Collapse
|
11
|
Francois B, Lambden S, Gibot S, Derive M, Olivier A, Cuvier V, Witte S, Grouin JM, Garaud JJ, Salcedo-Magguilli M, Levy M, Laterre PF. Rationale and protocol for the efficacy, safety and tolerability of nangibotide in patients with septic shock (ASTONISH) phase IIb randomised controlled trial. BMJ Open 2021; 11:e042921. [PMID: 34233965 PMCID: PMC8264912 DOI: 10.1136/bmjopen-2020-042921] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Septic shock is the subgroup of patients with sepsis, which presents as vasopressor dependence, an elevated blood lactate concentration and is associated with a mortality of at least 30%. Expression of the triggering receptor expressed on myeloid cells 1 (TREM-1) pathway, measured using a serum biomarker of pathway activation (soluble TREM-1, sTREM-1) has been associated with outcome in septic shock. Preclinical and early phase patient data suggest that therapeutic modulation of this pathway may improve survival. METHODS AND ANALYSIS Efficacy, Safety and Tolerability of Nangibotide in Patients with Septic Shock is a phase IIb randomised controlled trial that will take place in up to 50 centres in seven countries and recruit 450 patients with septic shock to receive either placebo or one of two doses of nangibotide, a novel regulator of the TREM-1 pathway. The primary outcome will be the impact of nangibotide therapy on the change in Sequential Organ Failure Assessment score from a baseline determined before initiation of study drug therapy. This will be assessed first in the patients with an elevated sTREM-1 level and then in the study population as a whole. In addition to safety, secondary outcomes of the study will include efficacy of nangibotide in relation to sTREM-1 levels in terms of organ function, mortality and long-term morbidity. This study will also facilitate the development of a novel platform for the measurement of sTREM-1 at the point of care. ETHICS AND DISSEMINATION The study has been approved by the responsible ethics committees/institutional review boards in all study countries: Belgium: Universitair Ziekenhuis Antwerpen, France: CPP Ile de France II, Denmark: Region Hovedstaden, Spain: ethics committee from Valld'Hebron Hospital, Barcelona, Finland: Tukija, Ireland: St. James' Hospital (SJH) / Tallaght University Hospital (TUH) Joint Research Ethics Committee, USA: Lifespan, Providence TRIAL REGISTRATION NUMBERS: EudraCT Number: 2018-004827-36 and NCT04055909.
Collapse
Affiliation(s)
- Bruno Francois
- Medical‑Surgical ICU Department and Inserm CIC1435 & UMR1092, CRICS‑TRIGGERSEP Network, University of Limoges, Limoges, France
| | - Simon Lambden
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Sebastien Gibot
- Department of Intensive care medicine, CHRU de Nancy, Nancy, France
| | | | | | | | | | | | | | | | - Mitchell Levy
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Brown University School of Medicine, Providence, Rhode Island, USA
| | | |
Collapse
|
12
|
Elmunzer BJ, Spitzer RL, Foster LD, Merchant AA, Howard EF, Patel VA, West MK, Qayed E, Nustas R, Zakaria A, Piper MS, Taylor JR, Jaza L, Forbes N, Chau M, Lara LF, Papachristou GI, Volk ML, Hilson LG, Zhou S, Kushnir VM, Lenyo AM, McLeod CG, Amin S, Kuftinec GN, Yadav D, Fox C, Kolb JM, Pawa S, Pawa R, Canakis A, Huang C, Jamil LH, Aneese AM, Glamour BK, Smith ZL, Hanley KA, Wood J, Patel HK, Shah JN, Agarunov E, Sethi A, Fogel EL, McNulty G, Haseeb A, Trieu JA, Dixon RE, Yang JY, Mendelsohn RB, Calo D, Aroniadis OC, LaComb JF, Scheiman JM, Sauer BG, Dang DT, Piraka CR, Shah ED, Pohl H, Tierney WM, Mitchell S, Condon A, Lenhart A, Dua KS, Kanagala VS, Kamal A, Singh VK, Pinto-Sanchez MI, Hutchinson JM, Kwon RS, Korsnes SJ, Singh H, Solati Z, Willingham FF, Yachimski PS, Conwell DL, Mosier E, Azab M, Patel A, Buxbaum J, Wani S, Chak A, Hosmer AE, Keswani RN, DiMaio CJ, Bronze MS, Muthusamy R, Canto MI, Gjeorgjievski VM, Imam Z, Odish F, Edhi AI, Orosey M, Tiwari A, Patwardhan S, Brown NG, Patel AA, Ordiah CO, Sloan IP, Cruz L, Koza CL, et alElmunzer BJ, Spitzer RL, Foster LD, Merchant AA, Howard EF, Patel VA, West MK, Qayed E, Nustas R, Zakaria A, Piper MS, Taylor JR, Jaza L, Forbes N, Chau M, Lara LF, Papachristou GI, Volk ML, Hilson LG, Zhou S, Kushnir VM, Lenyo AM, McLeod CG, Amin S, Kuftinec GN, Yadav D, Fox C, Kolb JM, Pawa S, Pawa R, Canakis A, Huang C, Jamil LH, Aneese AM, Glamour BK, Smith ZL, Hanley KA, Wood J, Patel HK, Shah JN, Agarunov E, Sethi A, Fogel EL, McNulty G, Haseeb A, Trieu JA, Dixon RE, Yang JY, Mendelsohn RB, Calo D, Aroniadis OC, LaComb JF, Scheiman JM, Sauer BG, Dang DT, Piraka CR, Shah ED, Pohl H, Tierney WM, Mitchell S, Condon A, Lenhart A, Dua KS, Kanagala VS, Kamal A, Singh VK, Pinto-Sanchez MI, Hutchinson JM, Kwon RS, Korsnes SJ, Singh H, Solati Z, Willingham FF, Yachimski PS, Conwell DL, Mosier E, Azab M, Patel A, Buxbaum J, Wani S, Chak A, Hosmer AE, Keswani RN, DiMaio CJ, Bronze MS, Muthusamy R, Canto MI, Gjeorgjievski VM, Imam Z, Odish F, Edhi AI, Orosey M, Tiwari A, Patwardhan S, Brown NG, Patel AA, Ordiah CO, Sloan IP, Cruz L, Koza CL, Okafor U, Hollander T, Furey N, Reykhart O, Zbib NH, Damianos JA, Esteban J, Hajidiacos N, Saul M, Mays M, Anderson G, Wood K, Mathews L, Diakova G, Caisse M, Wakefield L, Nitchie H, Waljee AK, Tang W, Zhang Y, Zhu J, Deshpande AR, Rockey DC, Alford TB, Durkalski V. Digestive Manifestations in Patients Hospitalized With Coronavirus Disease 2019. Clin Gastroenterol Hepatol 2021; 19:1355-1365.e4. [PMID: 33010411 PMCID: PMC7527302 DOI: 10.1016/j.cgh.2020.09.041] [Show More Authors] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 09/21/2020] [Accepted: 09/22/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS The prevalence and significance of digestive manifestations in coronavirus disease 2019 (COVID-19) remain uncertain. We aimed to assess the prevalence, spectrum, severity, and significance of digestive manifestations in patients hospitalized with COVID-19. METHODS Consecutive patients hospitalized with COVID-19 were identified across a geographically diverse alliance of medical centers in North America. Data pertaining to baseline characteristics, symptomatology, laboratory assessment, imaging, and endoscopic findings from the time of symptom onset until discharge or death were abstracted manually from electronic health records to characterize the prevalence, spectrum, and severity of digestive manifestations. Regression analyses were performed to evaluate the association between digestive manifestations and severe outcomes related to COVID-19. RESULTS A total of 1992 patients across 36 centers met eligibility criteria and were included. Overall, 53% of patients experienced at least 1 gastrointestinal symptom at any time during their illness, most commonly diarrhea (34%), nausea (27%), vomiting (16%), and abdominal pain (11%). In 74% of cases, gastrointestinal symptoms were judged to be mild. In total, 35% of patients developed an abnormal alanine aminotransferase or total bilirubin level; these were increased to less than 5 times the upper limit of normal in 77% of cases. After adjusting for potential confounders, the presence of gastrointestinal symptoms at any time (odds ratio, 0.93; 95% CI, 0.76-1.15) or liver test abnormalities on admission (odds ratio, 1.31; 95% CI, 0.80-2.12) were not associated independently with mechanical ventilation or death. CONCLUSIONS Among patients hospitalized with COVID-19, gastrointestinal symptoms and liver test abnormalities were common, but the majority were mild and their presence was not associated with a more severe clinical course.
Collapse
Affiliation(s)
- B Joseph Elmunzer
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina.
| | - Rebecca L Spitzer
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Lydia D Foster
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Ambreen A Merchant
- Division of Digestive Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Eric F Howard
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Vaishali A Patel
- Division of Digestive Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Mary K West
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Emad Qayed
- Division of Digestive Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia; Division of Digestive Diseases, Department of Medicine, Grady Memorial Hospital, Atlanta, Georgia
| | - Rosemary Nustas
- Division of Digestive Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia; Division of Digestive Diseases, Department of Medicine, Grady Memorial Hospital, Atlanta, Georgia
| | - Ali Zakaria
- Division of Gastroenterology, Department of Medicine, Ascension Providence Hospital/Michigan State University, College of Human Medicine, Southfield, Michigan
| | - Marc S Piper
- Division of Gastroenterology, Department of Medicine, Ascension Providence Hospital/Michigan State University, College of Human Medicine, Southfield, Michigan
| | - Jason R Taylor
- Division of Gastroenterology and Hepatology, Department of Medicine, Saint Louis University, St. Louis, Missouri
| | - Lujain Jaza
- Division of Gastroenterology and Hepatology, Department of Medicine, Saint Louis University, St. Louis, Missouri
| | - Nauzer Forbes
- Division of Gastroenterology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Millie Chau
- Division of Gastroenterology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Luis F Lara
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Georgios I Papachristou
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Michael L Volk
- Division of Gastroenterology, Department of Medicine, Loma Linda University, Loma Linda, California
| | - Liam G Hilson
- Division of Gastroenterology, Department of Medicine, University of Southern California, Los Angeles, California
| | - Selena Zhou
- Division of Gastroenterology, Department of Medicine, University of Southern California, Los Angeles, California
| | - Vladimir M Kushnir
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Alexandria M Lenyo
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Caroline G McLeod
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Sunil Amin
- Division of Gastroenterology, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Gabriela N Kuftinec
- Division of Gastroenterology, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Dhiraj Yadav
- Division of Gastroenterology and Hepatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Charlie Fox
- Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jennifer M Kolb
- Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Swati Pawa
- Division of Gastroenterology, Department of Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Rishi Pawa
- Division of Gastroenterology, Department of Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Andrew Canakis
- Section of Gastroenterology, Department of Medicine, Boston University Medical Center, Boston, Massachusetts
| | - Christopher Huang
- Section of Gastroenterology, Department of Medicine, Boston University Medical Center, Boston, Massachusetts
| | - Laith H Jamil
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan; Oakland University William Beaumont School of Medicine, Rochester, Michigan
| | - Andrew M Aneese
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Benita K Glamour
- Division of Gastroenterology, Department of Medicine, University Hospitals of Cleveland Medical Center, Cleveland, Ohio
| | - Zachary L Smith
- Division of Gastroenterology, Department of Medicine, University Hospitals of Cleveland Medical Center, Cleveland, Ohio
| | - Katherine A Hanley
- Division of Gastroenterology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jordan Wood
- Division of Gastroenterology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Harsh K Patel
- Department of Gastroenterology, Ochsner Health, New Orleans, Louisiana
| | - Janak N Shah
- Department of Gastroenterology, Ochsner Health, New Orleans, Louisiana
| | - Emil Agarunov
- Division of Gastroenterology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Amrita Sethi
- Division of Gastroenterology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Evan L Fogel
- Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Gail McNulty
- Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Abdul Haseeb
- Division of Gastroenterology and Nutrition, Department of Medicine, Loyola University Medical Center, Chicago, Illinois
| | - Judy A Trieu
- Division of Gastroenterology and Nutrition, Department of Medicine, Loyola University Medical Center, Chicago, Illinois
| | - Rebekah E Dixon
- The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jeong Yun Yang
- The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robin B Mendelsohn
- Gastroenterology, Hepatology and Nutrition service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Delia Calo
- Gastroenterology, Hepatology and Nutrition service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Olga C Aroniadis
- Division of Gastroenterology, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | - Joseph F LaComb
- Division of Gastroenterology, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | - James M Scheiman
- Division of Gastroenterology, Department of Medicine, University of Virginia Medical School, Charlottesville, Virginia
| | - Bryan G Sauer
- Division of Gastroenterology, Department of Medicine, University of Virginia Medical School, Charlottesville, Virginia
| | - Duyen T Dang
- Division of Gastroenterology, Department of Medicine, Henry Ford Health System, Detroit, Michigan
| | - Cyrus R Piraka
- Division of Gastroenterology, Department of Medicine, Henry Ford Health System, Detroit, Michigan
| | - Eric D Shah
- Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Health, Lebanon, New Hampshire
| | - Heiko Pohl
- Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Health, Lebanon, New Hampshire; Section of Gastroenterology and Hepatology, Department of Medicine, VA Medical Center, White River Junction, Vermont
| | - William M Tierney
- Section of Digestive Diseases and Nutrition, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Stephanie Mitchell
- Section of Digestive Diseases and Nutrition, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Ashwinee Condon
- Division of Gastroenterology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California
| | - Adrienne Lenhart
- Division of Gastroenterology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California
| | - Kulwinder S Dua
- Division of Gastroenterology, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Vikram S Kanagala
- Division of Gastroenterology, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ayesha Kamal
- Division of Gastroenterology, Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Vikesh K Singh
- Division of Gastroenterology, Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Maria Ines Pinto-Sanchez
- Division of Gastroenterology, Department of Medicine, McMaster University Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Joy M Hutchinson
- Division of Gastroenterology, Department of Medicine, McMaster University Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Richard S Kwon
- Division of Gastroenterology and Hepatology, Department of Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Sheryl J Korsnes
- Division of Gastroenterology and Hepatology, Department of Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Harminder Singh
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Zahra Solati
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Field F Willingham
- Division of Digestive Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Patrick S Yachimski
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Darwin L Conwell
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Evan Mosier
- Division of Gastroenterology, Department of Medicine, Loma Linda University, Loma Linda, California
| | - Mohamed Azab
- Division of Gastroenterology, Department of Medicine, Loma Linda University, Loma Linda, California
| | - Anish Patel
- Division of Gastroenterology, Department of Medicine, Loma Linda University, Loma Linda, California
| | - James Buxbaum
- Division of Gastroenterology, Department of Medicine, University of Southern California, Los Angeles, California
| | - Sachin Wani
- Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Amitabh Chak
- Division of Gastroenterology, Department of Medicine, University Hospitals of Cleveland Medical Center, Cleveland, Ohio
| | - Amy E Hosmer
- Division of Gastroenterology, Department of Medicine, University Hospitals of Cleveland Medical Center, Cleveland, Ohio
| | - Rajesh N Keswani
- Division of Gastroenterology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Christopher J DiMaio
- The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Michael S Bronze
- Section of Digestive Diseases and Nutrition, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Raman Muthusamy
- Division of Gastroenterology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California
| | - Marcia I Canto
- Division of Gastroenterology, Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - V Mihajlo Gjeorgjievski
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Zaid Imam
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Fadi Odish
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Ahmed I Edhi
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Molly Orosey
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Abhinav Tiwari
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Soumil Patwardhan
- Section of Gastroenterology and Hepatology, Department of Internal Medicine, Beaumont Health, Royal Oak, Michigan
| | - Nicholas G Brown
- Division of Gastroenterology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Anish A Patel
- Division of Gastroenterology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - Collins O Ordiah
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Ian P Sloan
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Lilian Cruz
- Division of Gastroenterology, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | - Casey L Koza
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Uchechi Okafor
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Thomas Hollander
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Nancy Furey
- Division of Gastroenterology, Department of Medicine, University Hospitals of Cleveland Medical Center, Cleveland, Ohio
| | - Olga Reykhart
- Division of Gastroenterology, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | - Natalia H Zbib
- Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Health, Lebanon, New Hampshire
| | - John A Damianos
- Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Health, Lebanon, New Hampshire
| | - James Esteban
- Division of Gastroenterology, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Nick Hajidiacos
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Melissa Saul
- Division of Gastroenterology and Hepatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Melanie Mays
- Division of Gastroenterology and Hepatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Gulsum Anderson
- Division of Gastroenterology and Hepatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Kelley Wood
- Division of Gastroenterology and Hepatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Laura Mathews
- Division of Gastroenterology and Hepatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Galina Diakova
- Division of Gastroenterology, Department of Medicine, University of Virginia Medical School, Charlottesville, Virginia
| | - Molly Caisse
- Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Health, Lebanon, New Hampshire
| | - Lauren Wakefield
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Haley Nitchie
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Akbar K Waljee
- Division of Gastroenterology and Hepatology, Department of Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Weijing Tang
- Department of Statistics, University of Michigan, Ann Arbor, Michigan
| | - Yueyang Zhang
- Department of Statistics, University of Michigan, Ann Arbor, Michigan
| | - Ji Zhu
- Department of Statistics, University of Michigan, Ann Arbor, Michigan
| | - Amar R Deshpande
- Division of Gastroenterology, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Don C Rockey
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Teldon B Alford
- Division of Gastroenterology and Hepatology, Department of Medicine, Charleston, South Carolina
| | - Valerie Durkalski
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| |
Collapse
|
13
|
Koukoubani T, Makris D, Daniil Z, Paraforou T, Tsolaki V, Zakynthinos E, Papanikolaou J. The role of antimicrobial resistance on long-term mortality and quality of life in critically ill patients: a prospective longitudinal 2-year study. Health Qual Life Outcomes 2021; 19:72. [PMID: 33658021 PMCID: PMC7927260 DOI: 10.1186/s12955-021-01712-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 02/18/2021] [Indexed: 11/21/2022] Open
Abstract
Background In the recent era, antimicrobial resistance has been identified as one of the most important threats to human health worldwide. The rapid emergence of antibiotic-resistant pathogens (ABRP) in the modern intensive care unit (ICU) also represents a “nightmare scenario” with unknown clinical consequences. In the Greek ICU, in particular, gram negative ABRPs are now considered endemic. However, the possible longitudinal impact of ABRPs on long-term outcomes of ICU patients has not yet been determined. Methods In this two-year (January 2014-December 2015) single-centre observational longitudinal study, 351 non-neurocritical ICU patients ≥ 18 year-old were enrolled. Patients’ demographic, clinical and outcome data were prospectively collected. Quality-adjusted life years (QALY) were calculated at 6, 12, 18 and 24 months after ICU admission. Results Fifty-eight patients developed infections due to ABRP (ABRP group), 57 due to non-ABRP (non-ABRP group), and 236 demonstrated no infection (no-infection group) while in ICU. Multiple regression analysis revealed that multiple organ dysfunction syndrome score (OR: 0.676, 95%CI 0.584–0.782; P < 0.001) and continuous renal replacement therapy (OR: 4.453, 95%CI 1.805–10.982; P = 0.001) were the only independent determinants for ABRP infections in ICU. Intra-ICU, 90-day and 2-year mortality was 27.9%, 52.4% and 61.5%, respectively. Compared to the non-ABRP and no-infection group, the ABRP group demonstrated increased intra-ICU, 90-day and 2-year mortality (P ≤ 0.022), worse 2-year survival rates in ICU patients overall and ICU survivor subset (Log-rank test, P ≤ 0.046), and poorer progress over time in 2-year QALY kinetics in ICU population overall, ICU survivor and 2-year survivor subgroups (P ≤ 0.013). ABRP group was further divided into multi-drug and extensively-drug resistant subgroups [MDR (n = 34) / XDR (n = 24), respectively]. Compared to MDR subgroup, the XDR subgroup demonstrated increased ICU, 90-day and 2-year mortality (P ≤ 0.031), but similar 90-day and 2-year QALYs (P ≥ 0.549). ABRP infections overall (HR = 1.778, 95% CI 1.166–2.711; P = 0.008), as well as XDR [HR = 1.889, 95% CI 1.075–3.320; P = 0.027) but not MDR pathogens, were independently associated with 2-year mortality, after adjusting for several covariates of critical illness. Conclusions The present study may suggest a significant association between ABRP (especially XDR) infections in ICU and increased mortality and inability rates for a prolonged period post-discharge that requires further attention in larger-scale studies.
Collapse
Affiliation(s)
| | - Demosthenes Makris
- Department of Critical Care, School of Medicine, University of Thessaly, University Hospital of Larissa, Biopolis, 41110, Larissa, Greece
| | - Zoe Daniil
- Department of Critical Care, School of Medicine, University of Thessaly, University Hospital of Larissa, Biopolis, 41110, Larissa, Greece
| | - Theoniki Paraforou
- Department of Critical Care, General Hospital of Trikala, Thessaly, Greece
| | - Vasiliki Tsolaki
- Department of Critical Care, School of Medicine, University of Thessaly, University Hospital of Larissa, Biopolis, 41110, Larissa, Greece
| | - Epaminondas Zakynthinos
- Department of Critical Care, School of Medicine, University of Thessaly, University Hospital of Larissa, Biopolis, 41110, Larissa, Greece
| | - John Papanikolaou
- Department of Critical Care, School of Medicine, University of Thessaly, University Hospital of Larissa, Biopolis, 41110, Larissa, Greece.
| |
Collapse
|
14
|
McKenna HT, O'Brien KA, Fernandez BO, Minnion M, Tod A, McNally BD, West JA, Griffin JL, Grocott MP, Mythen MG, Feelisch M, Murray AJ, Martin DS. Divergent trajectories of cellular bioenergetics, intermediary metabolism and systemic redox status in survivors and non-survivors of critical illness. Redox Biol 2021; 41:101907. [PMID: 33667994 PMCID: PMC7937570 DOI: 10.1016/j.redox.2021.101907] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/06/2021] [Accepted: 02/16/2021] [Indexed: 02/01/2023] Open
Abstract
Background Numerous pathologies result in multiple-organ failure, which is thought to be a direct consequence of compromised cellular bioenergetic status. Neither the nature of this phenotype nor its relevance to survival are well understood, limiting the efficacy of modern life-support. Methods To explore the hypothesis that survival from critical illness relates to changes in cellular bioenergetics, we combined assessment of mitochondrial respiration with metabolomic, lipidomic and redox profiling in skeletal muscle and blood, at multiple timepoints, in 21 critically ill patients and 12 reference patients. Results We demonstrate an end-organ cellular phenotype in critical illness, characterized by preserved total energetic capacity, greater coupling efficiency and selectively lower capacity for complex I and fatty acid oxidation (FAO)-supported respiration in skeletal muscle, compared to health. In survivors, complex I capacity at 48 h was 27% lower than in non-survivors (p = 0.01), but tended to increase by day 7, with no such recovery observed in non-survivors. By day 7, survivors’ FAO enzyme activity was double that of non-survivors (p = 0.048), in whom plasma triacylglycerol accumulated. Increases in both cellular oxidative stress and reductive drive were evident in early critical illness compared to health. Initially, non-survivors demonstrated greater plasma total antioxidant capacity but ultimately higher lipid peroxidation compared to survivors. These alterations were mirrored by greater levels of circulating total free thiol and nitrosated species, consistent with greater reductive stress and vascular inflammation, in non-survivors compared to survivors. In contrast, no clear differences in systemic inflammatory markers were observed between the two groups. Conclusion Critical illness is associated with rapid, specific and coordinated alterations in the cellular respiratory machinery, intermediary metabolism and redox response, with different trajectories in survivors and non-survivors. Unravelling the cellular and molecular foundation of human resilience may enable the development of more effective life-support strategies.
Collapse
Affiliation(s)
- Helen T McKenna
- Division of Surgery and Interventional Science, University College London, Royal Free Hospital, London, NW3 2QG, UK; Intensive Care Unit, Royal Free Hospital, London, NW3 2QG, UK; Peninsula Medical School, University of Plymouth, John Bull Building, Derriford, Plymouth, PL6 8BU, UK
| | - Katie A O'Brien
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EG, UK
| | - Bernadette O Fernandez
- Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Magdalena Minnion
- Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Adam Tod
- Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Ben D McNally
- Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, CB2 1GA, UK
| | - James A West
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Department of Medicine, Jeffrey Cheah Biomedical Centre, University of Cambridge, CB2 0RE, UK
| | - Julian L Griffin
- Department of Biochemistry and the Cambridge Systems Biology Centre, University of Cambridge, CB2 1GA, UK; Section of Biomolecular Medicine, Department of Digestion, Metabolism and Reproduction, Imperial College London, SW7 2AZ, UK
| | - Michael P Grocott
- Anaesthesia Perioperative and Critical Care Research Group, Southampton National Institute of Health Research Biomedical Research Centre, University Hospital Southampton, SO16 6YD, UK
| | - Michael G Mythen
- University College London Hospitals and Great Ormond Street, National Institute of Health Research Biomedical Research Centres, London, WC1N 1EH, UK
| | - Martin Feelisch
- Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK; Anaesthesia Perioperative and Critical Care Research Group, Southampton National Institute of Health Research Biomedical Research Centre, University Hospital Southampton, SO16 6YD, UK
| | - Andrew J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EG, UK.
| | - Daniel S Martin
- Division of Surgery and Interventional Science, University College London, Royal Free Hospital, London, NW3 2QG, UK; Intensive Care Unit, Royal Free Hospital, London, NW3 2QG, UK; Peninsula Medical School, University of Plymouth, John Bull Building, Derriford, Plymouth, PL6 8BU, UK
| |
Collapse
|
15
|
Jansson MM, Ohtonen PP, SyrjÄlÄ HP, Ala-Kokko TI. Changes in the incidence and outcome of multiple organ failure in emergency non-cardiac surgical admissions: a 10-year retrospective observational study. Minerva Anestesiol 2020; 87:174-183. [PMID: 33300319 DOI: 10.23736/s0375-9393.20.14374-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND During the past decades, epidemiologic data of independent predictors of multiple organ failure (MOF), incidence, and mortality have changed. The aim of the study was to assess the potential changes in the incidence and outcomes of MOF for one decade (2008-2017). In addition, resource utilization was considered. METHODS Patients were eligible for inclusion if they were adults, admitted to the ICU between January 1, 2008 and December 31, 2017, and had complete data sets regarding MOF. MOF was defined as organ failure separately with and without central nervous system (CNS) failure. The onset of MOF was defined as being early (≤48 h of ICU admission) and late (>48 h after ICU admission). RESULTS Of a total of 13,270 patients enclosed in this study, 44.6% of the patients developed MOF with and 31.4% without CNS failure. MOF-related mortality decreased in patients with (adjusted IRR 0.972 [95% CI 0.948 to 0.996], P=0.022) and without (adjusted IRR 0.957 [95% CI 0.931 to 0.983], P=0.0013) CNS failure. In addition, the incidence (adjusted IRR 0.970 [95% CI 0.950 to 0.991], P=0.006) and mortality (adjusted IRR 0.968 [95% CI 0.940 to 0.996], P=0.025) of early-onset MOF decreased, while the incidence and mortality of late-onset MOF remained constant. The length of ICU (P=0.024) and hospital (P=0.032) stays decreased while the length of mechanical ventilation remained constant (P=0.41). CONCLUSIONS Despite all improvements in intensive care during the last decades, the incidence of late-onset MOF remains a resource-intensive, morbid, and lethal condition. More research on etiologies, signs of organ failure, and where and when to start treatment is needed to improve the prognosis of late-onset MOF.
Collapse
Affiliation(s)
- Miia M Jansson
- Research Group of Medical Imaging, Physics and Technology, Faculty of Medicine, University Hospital of Oulu, Oulu, Finland -
| | - Pasi P Ohtonen
- Division of Operative Care, Medical Research Center Oulu, University Hospital, of Oulu, Oulu, Finland
| | - Hannu P SyrjÄlÄ
- Department of Infection Control, University Hospital of Oulu, Oulu, Finland
| | - Tero I Ala-Kokko
- Division of Intensive Care, Department of Anesthesiology, Research Group of Surgery, Anesthesiology and Intensive Care, Medical Research Center Oulu, University Hospital of Oulu, Oulu, Finland
| |
Collapse
|
16
|
Stoppe C, Hill A, Day AG, Kristof AS, Hundeshagen G, Kneser U, Beier J, Lumenta D, Kim BS, Plock J, Collins DP, Gille J, Jiang X, Heyland DK. The initial validation of a novel outcome measure in severe burns- the Persistent Organ Dysfunction +Death: Results from a multicenter evaluation. Burns 2020; 47:765-775. [PMID: 33288334 DOI: 10.1016/j.burns.2020.09.003] [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: 05/05/2020] [Revised: 08/25/2020] [Accepted: 09/24/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION A need exists to improve the efficiency of clinical trials in burn care. The objective of this study was to validate "Persistent Organ Dysfunction" plus death as endpoint in burn patients and to demonstrate its statistical efficiency. METHODS This secondary outcome analysis of a dataset from a prospective international multicenter RCT (RE-ENERGIZE) included patients with burned total body surface area >20% and a 6-month follow-up. Persistent organ dysfunction was defined as persistence of organ dysfunction with life-supportiing technologies and ICU care. RESULTS In the 539 included patients, the prevalence of 0p p+ pdeath was 40% at day 14 and of 27% at day 28. At both timepoints, survivors with POD (vs. survivors without POD) had a higher mortality rate, longer ICU- and hospital-stays, and a reduced quality of life. POD + death as an endpoint could result in reduced sample size requirements for clinical trials. Detecting a 25% relative risk reduction in 28-day mortality would require a sample size of 4492 patients, whereas 1236 patients would be required were 28-day POD + death used. CONCLUSIONS POD + death represents a promising composite outcome measure that may reduce the sample size requirements of clinical trials in severe burns patients. Further validation in larger clinical trials is warranted. STUDY TYPE Prospective cohort study, level of evidence: II.
Collapse
Affiliation(s)
- Christian Stoppe
- Department of Intensive Care Medicine, University Hospital RWTH, Aachen, Germany; CARE-Cardiovascular Critical Care & Anesthesia Evaluation and Research, Aachen, Germany
| | - Aileen Hill
- Department of Intensive Care Medicine, University Hospital RWTH, Aachen, Germany; CARE-Cardiovascular Critical Care & Anesthesia Evaluation and Research, Aachen, Germany
| | - Andrew G Day
- KGH Research Institute, Kingston Health Sciences Centre, Kingston, Ontario
| | - Arnold S Kristof
- Meakins-Christie Laboratories and Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Faculty of Medicine, Departments of Medicine and Critical Care, Montreal, Canada
| | - Gabriel Hundeshagen
- Department of Hand, Plastic and Reconstructive Surgery, Burn Trauma Center. BG Trauma Center Ludwigshafen; University of Heidelberg, Germany
| | - Ulrich Kneser
- Department of Hand, Plastic and Reconstructive Surgery, Burn Trauma Center. BG Trauma Center Ludwigshafen; University of Heidelberg, Germany
| | - Justus Beier
- Department of Plastic, Hand and Burn Surgery, University Hospital RWTH Aachen, Aachen, Germany
| | - David Lumenta
- Research Unit for Tissue Regeneration, Repair and Reconstruction, Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria
| | - Bong-Sung Kim
- Department of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Jan Plock
- Department of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Declan P Collins
- Department of Burns and Plastic Surgery, Chelsea and Westminster Hospital, London, United Kingdom
| | - Jochen Gille
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy. Burn Unit. St. Georg Hospital GmbH Leipzig, 04129 Leipzig, Germany
| | - Xuran Jiang
- Department of Critical Care Medicine, Queen´s University, K7L 2V7 Kingston, Canada
| | - Daren K Heyland
- Department of Critical Care Medicine, Queen´s University, K7L 2V7 Kingston, Canada.
| |
Collapse
|
17
|
Van de Louw A, Twomey K, Habecker N, Rakszawski K. Prevalence of acute liver dysfunction and impact on outcome in critically ill patients with hematological malignancies: a single-center retrospective cohort study. Ann Hematol 2020; 100:229-237. [PMID: 32918593 DOI: 10.1007/s00277-020-04197-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 07/20/2020] [Indexed: 12/20/2022]
Abstract
Patients with hematological malignancies (HM) often require ICU admission, and acute respiratory or renal failure are then independent risk factors for mortality. Data are scarce on acute liver dysfunction (ALD), despite HM patients cumulating risk factors. The objective of this retrospective cohort study was to assess the prevalence of ALD in critically ill HM patients and its impact on outcome. Data of all patients with HM admitted to the medical ICU between 2008 and 2018 were extracted from electronic medical records. ALD was defined by ALT > 165 U/L, AST > 230 U/L, or total bilirubin > 4 mg/dL. Univariate and multivariate logistic regressions were used to analyze hospital mortality. Charts of survivors with ALD were reviewed to assess impact of ALD on subsequent anti-cancer treatment. We included 971 patients (60% male), age 64 (54-72) years, of whom 196 (20%) developed ALD. ALD patients were younger, more frequently had liver cirrhosis or acute leukemia, and had increased severity of illness and vital organ support needs. ALD was associated with hospital mortality in univariate (OR 4.14, 95% CI 2.95-5.80, p < 0.001) and multivariate analysis (OR 1.86, 95% CI 1.07-3.24, p = 0.03). Hospital mortality was 46% in ALD patients; among 106 survivors, a third of patients requiring therapy received it as previously planned, and half of the patients were alive at 1 year. In summary, in a large population of critically ill patients with hematological malignancies, 20% developed ALD, which was an independent risk factor for hospital mortality and occasionally altered further anti-cancer treatment.
Collapse
Affiliation(s)
- Andry Van de Louw
- Division of Pulmonary and Critical Care Medicine, Penn State Health Hershey Medical Center, 500 University Dr., Hershey, PA, 17033, USA.
| | - Kathleen Twomey
- Division of Pulmonary and Critical Care Medicine, Penn State Health Hershey Medical Center, 500 University Dr., Hershey, PA, 17033, USA
| | - Nicholas Habecker
- Division of Pulmonary and Critical Care Medicine, Penn State Health Hershey Medical Center, 500 University Dr., Hershey, PA, 17033, USA
| | - Kevin Rakszawski
- Division of Hematology and Oncology, Penn State Health Hershey Medical Center, 500 University Dr, Hershey, PA, 17033, USA
| |
Collapse
|
18
|
Continuous lactate monitoring in critically ill patients using microdialysis. Anaesth Crit Care Pain Med 2020; 39:513-517. [PMID: 32659456 DOI: 10.1016/j.accpm.2020.05.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 05/13/2020] [Accepted: 05/29/2020] [Indexed: 12/29/2022]
Abstract
INTRODUCTION Blood lactate is a strong predictor of mortality in critically ill patients. Its monitoring implies repeated measurements. The EIRUS™ system (Maquet Critical Care AB, 17154, Solna, Sweden) is a new device allowing continuous lactate monitoring by intravascular micro dialysis. The present study aimed at assessing the accuracy of the EIRUS™ system in critically ill patients with circulatory failure. METHODS An observational cohort study was conducted in Nîmes University Hospital. Eligible patients were those with circulatory failure in which a specific central venous access was put in place by the physician in charge, allowing continuous lactate measurement by the EIRUS™ system. Lactate measurements obtained by the system were compared to lactate from arterial blood samples at H4 and H8 from the calibration, during the first 48hours of shock. RESULTS In all, 28 patients were included providing 244 pairs of measures. The Bland-Altman analysis showed a bootstrapped mean bias at H4 of 0.05 and 95% limits of agreement of -0.9 to 1.0mmol/L. At H8 the mean bias was 0.06 and 95% limits of agreement -1.1 to 1.2mmol/L. The global trend agreement [95% CI] for a pre-specified arbitrary threshold of 1mmol/L, defining clinically significant variations, between H0 and H4 and H4 and H8 was 91.6% [85.1; 95.9] and 89.5% [82.3; 94.4], respectively. CONCLUSION The EIRUS™ device provided an overall accurate measurement of lactate in critically ill patients with circulatory failure. Detection of lactate variations over time is less precise and technical issues may limit its clinical use.
Collapse
|
19
|
Abstract
RATIONALE Survivorship from critical illness has improved; however, factors mediating the functional recovery of persons experiencing a critical illness remain incompletely understood. OBJECTIVES To identify groups of acute respiratory failure (ARF) survivors with similar patterns of physical function recovery after discharge and to determine the characteristics associated with group membership in each physical function trajectory group. METHODS We performed a secondary analysis of a randomized controlled trial, using group-based trajectory modeling to identify distinct subgroups of patients with similar physical function recovery patterns after ARF. Chi-square tests and one-way analysis of variance were used to determine which variables were associated with trajectory membership. A multinomial logistic regression analysis was performed to identify variables jointly associated with trajectory group membership. RESULTS A total of 260 patients enrolled in a trial evaluating standardized rehabilitation therapy in patients with ARF and discharged alive (NCT00976833) were included in this analysis. Physical function was quantified using the Short Physical Performance Battery at hospital discharge and 2, 4, and 6 months after enrollment. Latent class analysis of the Short Physical Performance Battery scores identified four trajectory groups. These groups differ in both the degree and rate of physical function recovery. A multinomial logistic regression analysis was performed using covariates that have been previously identified in the literature as influencing recovery after critical illness. By multinomial logistic regression, age (P < 0.001), female sex (P = 0.001), intensive care unit (ICU) length of stay (LOS) (P = 0.003), and continuous intravenous sedation days (P = 0.004) were the variables that jointly influenced trajectory group membership. Participants in the trajectory demonstrating most rapid and complete functional recovery consisted of younger females with fewer continuous sedation days and a shorter LOS. The participant trajectory that failed to functionally recover consisted of older patients with greater sedation time and the longest LOS. CONCLUSIONS We identified distinct trajectories of physical function recovery after critical illness. Age, sex, continuous sedation time, and ICU length of stay impact the trajectory of functional recovery after critical illness. Further examination of these groups may assist in clinical trial design to tailor interventions to specific subgroups.
Collapse
|
20
|
Pedersen PB, Henriksen DP, Brabrand M, Lassen AT. Prevalence of organ failure and mortality among patients in the emergency department: a population-based cohort study. BMJ Open 2019; 9:e032692. [PMID: 31666275 PMCID: PMC6830583 DOI: 10.1136/bmjopen-2019-032692] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES The aim was to describe population-based incidence and emergency department-based prevalence and 1-year all-cause mortality of patients with new organ failure present at arrival. DESIGN This was a population-based cohort study of all citizens in four municipalities (population of 230 000 adults). SETTING Emergency department at Odense University Hospital, Denmark. PARTICIPANTS We included all adult patients who arrived from 1 April 2012 to 31 March 2015. PRIMARY AND SECONDARY OUTCOME MEASURES Organ failure was defined as a modified Sequential Organ Failure Assessment score≥2 within six possible organ systems: cerebral, circulatory, renal, respiratory, hepatic and coagulation.The primary outcome was prevalence of organ failure, and secondary outcomes were 0-7 days, 8-30 days and 31-365 days all-cause mortality. RESULTS We identified in total 175 278 contacts, of which 70 399 contacts were further evaluated for organ failure. Fifty-two per cent of these were women, median age 62 (IQR 42-77) years. The incidence of new organ failure was 1342/100 000 person-years, corresponding to 5.2% of all emergency department contacts.The 0-7-day, 8-30-day and 31-365-day mortality was 11.0% (95% CI: 10.2% to 11.8%), 5.6% (95% CI: 5.1% to 6.2%) and 13.2% (95% CI: 12.3% to 14.1%), respectively, if the patient had one or more new organ failures at first contact in the observation period, compared with 1.4% (95% CI: 1.3% to 1.6%), 1.2% (95% CI: 1.1% to 1.3%) and 5.2% (95% CI: 5.0% to 5.4%) for patients without. Seven-day mortality ranged from hepatic failure, 6.5% (95% CI: 4.9% to 8.6%), to cerebral failure, 33.8% (95% CI: 31.0% to 36.8%), the 8-30-day mortality ranged from cerebral failure, 3.9% (95% CI: 2.8% to 5.3%), to hepatic failure, 8.6% (95% CI: 6.6% to 10.8%) and 31-365-day mortality ranged from cerebral failure, 9.3% (95% CI: 7.6% to 11.2%), to renal failure, 18.2% (95% CI: 15.5% to 21.1%). CONCLUSIONS The study revealed an incidence of new organ failure at 1342/100 000 person-years and a prevalence of 5.2% of all emergency department contacts. One-year all-cause mortality was 29.8% among organ failure patients.
Collapse
Affiliation(s)
- Peter Bank Pedersen
- Department of Emergency Medicine, Institute of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | | | - Mikkel Brabrand
- Department of Emergency Medicine, Odense University Hospital & Hospital of South West Jutland, Odense & Esbjerg, Denmark
| | - Annmarie Touborg Lassen
- Department of Emergency Medicine, Institute of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| |
Collapse
|
21
|
Bad Brains, Bad Outcomes: Acute Neurologic Dysfunction and Late Death After Sepsis. Crit Care Med 2019; 46:1001-1002. [PMID: 29762396 DOI: 10.1097/ccm.0000000000003097] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
|
22
|
|
23
|
von Meijenfeldt GCI, Chary S, van der Laan MJ, Zeebregts CJAM, Christopher KB. Eosinopenia and post-hospital outcomes in critically ill non-cardiac vascular surgery patients. Nutr Metab Cardiovasc Dis 2019; 29:847-855. [PMID: 31248714 DOI: 10.1016/j.numecd.2019.05.061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 04/28/2019] [Accepted: 05/13/2019] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS Eosinopenia is a marker for acute inflammation. We hypothesized that eosinopenia at Intensive Care Unit (ICU) admission in vascular surgery patients who receive critical care, would be associated with increased mortality following hospital discharge. METHODS AND RESULTS We performed a two-center observational cohort study of critically ill, non-cardiac adult vascular surgery patients who received treatment in Boston between 1997 and 2012 and survived hospital admission. The consecutive sample included 5083 patients (male 57%, white 82%, mean age [SD] 61.6 [17.4] years). The exposure was Absolute eosinophil count measured within 24 h of admission to the ICU and categorized as ≤10 cells/μL, 11-50 cells/μL, 51-100 cells/μL, 101-350 cells/μL (normal range), and >350 cells/μL. The primary outcome was all-cause mortality within 90 days of hospital discharge. The secondary outcome was discharge to home following hospitalization. 90-day post-discharge mortality was 6.7%, and 12.9% of patients were readmitted within 30 days. After multivariable adjustment, patients with eosinopenia (≤10 cells/μL) have a 90-day post-discharge mortality OR of 1.97 (95%CI 1.42, 2.73; P < 0.001) relative to patients with an absolute eosinophil count of 101-350 cells/μL. Further, after multivariable adjustment, patients with eosinopenia (≤10 cells/μL) have a 25% lower odds of discharge to home compared to patients with an absolute eosinophil count of 101-350 cells/μL [OR = 0.71 (CI 95% 0.59-0.85); P < 0.001]. CONCLUSION Eosinopenia at ICU admission is a robust predictor of increased mortality and lower likelihood of discharge to home in vascular surgery patients treated with critical care who survive hospitalization.
Collapse
Affiliation(s)
- Gerdine C I von Meijenfeldt
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Department of Surgery, Deventer Ziekenhuis, Deventer, the Netherlands
| | | | - M J van der Laan
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - C J A M Zeebregts
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Kenneth B Christopher
- The Nathan E. Hellman Memorial Laboratory, Renal Division, Brigham and Women's Hospital, Boston, USA.
| |
Collapse
|
24
|
Sevin CM, Bloom SL, Jackson JC, Wang L, Ely EW, Stollings JL. Comprehensive care of ICU survivors: Development and implementation of an ICU recovery center. J Crit Care 2019; 46:141-148. [PMID: 29929705 DOI: 10.1016/j.jcrc.2018.02.011] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 02/17/2018] [Accepted: 02/20/2018] [Indexed: 02/05/2023]
Abstract
PURPOSE To describe the design and initial implementation of an Intensive Care Unit Recovery Center (ICU-RC) in the United States. MATERIALS AND METHODS A prospective, observational feasibility study was undertaken at an academic hospital between July 2012 and December 2015. Clinical criteria were used to develop the ICU-RC, identify patients at high risk for post intensive care syndrome (PICS), and offer them post-ICU care. RESULTS 218/307 referred patients (71%) survived to hospital discharge; 62 (28% of survivors) were seen in clinic. Median time from discharge to ICU-RC visit was 29days. At initial evaluation, 64% of patients had clinically meaningful cognitive impairment. Anxiety and depression were present in 37% and 27% of patients, respectively. One in three patients was unable to ambulate independently; median 6min walk distance was 56% predicted. Of 47 previously working patients, 7 (15%) had returned to work. Case management and referral services were provided 142 times. The median number of interventions per patient was 4. CONCLUSIONS An ICU-RC identified a high prevalence of cognitive impairment, anxiety, depression, physical debility, lifestyle changes, and medication-related problems warranting intervention. Whether an ICU-RC can improve ICU recovery in the US should be investigated in a systematic way.
Collapse
Affiliation(s)
- Carla M Sevin
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
| | - Sarah L Bloom
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - James C Jackson
- Geriatric Research, Education and Clinical Center (GRECC) Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, United States; Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, United States; Center for Health Services Research, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Li Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - E Wesley Ely
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Geriatric Research, Education and Clinical Center (GRECC) Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, United States
| | - Joanna L Stollings
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, United States
| |
Collapse
|
25
|
Pedersen PB, Hrobjartsson A, Nielsen DL, Henriksen DP, Brabrand M, Lassen AT. Prevalence and prognosis of acutely ill patients with organ failure at arrival to hospital: A systematic review. PLoS One 2018; 13:e0206610. [PMID: 30383864 PMCID: PMC6211733 DOI: 10.1371/journal.pone.0206610] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 10/16/2018] [Indexed: 01/31/2023] Open
Abstract
Introduction Patients in an emergency department are diverse. Some are more seriously ill than others and some even arrive in multi-organ failure. Knowledge of the prevalence of organ failure and its prognosis in unselected patients is important from a diagnostic, hospital planning, and from a quality evaluation point of view, but is not reported systematically. Objectives To analyse the prevalence and prognosis of new onset organ failure in unselected acute patients at arrival to hospital. Methods A systematic review of studies of prevalence and prognosis of acutely ill patients with organ failure at arrival to hospital. We searched PubMed, Cochrane Library, Embase and Cinahl, and read references in included studies. Two authors decided independently on study eligibility and extracted data. Results were summarised qualitatively. Results Four studies were included with a total of 678,960 patients. The number of different organ failures reported in the studies ranged from one to six, and the settings were emergency departments and wards. The definitions of organ failure varied between studies. The prevalence of organ failure was 7%, 14%, 14%, and 23%, and in-hospital mortality was 5%, 11% and 15% respectively. The relative risk of in-hospital mortality for patients with organ failure compared to patients without organ failure varied from 2.58 to 8.65. Numbers of organ failures per 1,000 visits varied from 71 to 256. Conclusion The results of this review indicate that clinicians have good reasons to be alert when a patient arrives to the emergency department; as a state of organ failure seems both frequent and highly severe. However, most studies identified were performed in patients after a diagnosis was established, and only very few studies were performed in unselected patients. Systematic review registration number PROSPERO: CRD42017060871.
Collapse
Affiliation(s)
- Peter Bank Pedersen
- Department of Emergency Medicine, Odense University Hospital, Odense, Denmark
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
- * E-mail:
| | - Asbjørn Hrobjartsson
- Centre for Evidence-Based Medicine, University of Southern Denmark & Odense University Hospital, Odense, Denmark
| | | | - Daniel Pilsgaard Henriksen
- Department of Emergency Medicine, Odense University Hospital, Odense, Denmark
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
| | - Mikkel Brabrand
- Department of Emergency Medicine, Odense University Hospital, Odense, Denmark
- Department of Emergency Medicine, Hospital of South West Jutland, Esbjerg, Denmark
| | - Annmarie Touborg Lassen
- Department of Emergency Medicine, Odense University Hospital, Odense, Denmark
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
26
|
Skeletal Muscle Weakness Is Associated With Both Early and Late Mortality After Acute Respiratory Distress Syndrome. Crit Care Med 2018; 45:563-565. [PMID: 28212226 DOI: 10.1097/ccm.0000000000002243] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
27
|
Abstract
INTRODUCTION Lipopolysaccharide (LPS) is known to induce vascular derangements. The pathophysiology involved therein is unknown, but matrix metalloproteinases (MMPs) may be an important mediator. We hypothesized that in vitro LPS provokes vascular permeability, damages endothelial structural proteins, and increases MMP activity; that in vivo LPS increases permeability and fluid requirements; and that the MMP inhibitor doxycycline mitigates such changes. METHODS Rat lung microvascular endothelial cells were divided into four groups: control, LPS, LPS plus doxycycline, and doxycycline. Permeability, structural proteins β-catenin and Filamentous-actin, and MMP-9 activity were examined. Sprauge Dawley rats were divided into sham, IV LPS, and IV LPS plus IV doxycycline groups. Mesenteric postcapillary venules were observed. Blood pressure was measured as animals were resuscitated and fluid requirements were compared. Statistical analysis was conducted using Student's t-test and ANOVA. RESULTS In vitro LPS increased permeability, damaged adherens junctions, induced actin stress fiber formation, and increased MMP-9 enzyme activity. In vivo, IV LPS administration induced vascular permeability. During resuscitation, significantly more fluid was necessary to maintain normotension in the IV LPS group. Doxycycline mitigated all derangements observed. CONCLUSIONS We conclude that LPS increases permeability, damages structural proteins, and increases MMP-9 activity in endothelial cells. Additionally, endotoxemia induces hyperpermeability and increases the amount of IV fluid required to maintain normotension in vivo. Doxycycline mitigates such changes both in vitro and in vivo. Our findings illuminate the possible role of matrix metalloproteinases in the pathophysiology of lipopolysaccharide-induced microvascular hyperpermeability and pave the way for better understanding and treatment of this process.
Collapse
|
28
|
Outcomes of ICU Patients With a Discharge Diagnosis of Critical Illness Polyneuromyopathy: A Propensity-Matched Analysis. Crit Care Med 2017; 45:2055-2060. [PMID: 29019851 DOI: 10.1097/ccm.0000000000002763] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To assess the impact of a discharge diagnosis of critical illness polyneuromyopathy on health-related outcomes in a large cohort of patients requiring ICU admission. DESIGN Retrospective cohort with propensity score-matched analysis. SETTING Analysis of a large multihospital database. PATIENTS Adult ICU patients without preexisting neuromuscular abnormalities and a discharge diagnosis of critical illness polyneuropathy and/or myopathy along with adult ICU propensity-matched control patients. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of 3,567 ICU patients with a discharge diagnosis of critical illness polyneuropathy and/or myopathy, we matched 3,436 of these patients to 3,436 ICU patients who did not have a discharge diagnosis of critical illness polyneuropathy and/or myopathy. After propensity matching and adjusting for unbalanced covariates, we used conditional logistic regression and a repeated measures model to compare patient outcomes. Compared to patients without a discharge diagnosis of critical illness polyneuropathy and/or myopathy, patients with a discharge diagnosis of critical illness polyneuropathy and/or myopathy had fewer 28-day hospital-free days (6 [0.1] vs 7.4 [0.1] d; p < 0.0001), had fewer 28-day ventilator-free days (15.7 [0.2] vs 17.5 [0.2] d; p < 0.0001), had higher hospitalization charges (313,508 [4,853] vs 256,288 [4,470] dollars; p < 0.0001), and were less likely to be discharged home (15.3% vs 32.8%; p < 0.0001) but had lower in-hospital mortality (13.7% vs 18.3%; p < 0.0001). CONCLUSIONS In a propensity-matched analysis of a large national database, a discharge diagnosis of critical illness polyneuropathy and/or myopathy is strongly associated with deleterious outcomes including fewer hospital-free days, fewer ventilator-free days, higher hospital charges, and reduced discharge home but also an unexpectedly lower in-hospital mortality. This study demonstrates the clinical importance of a discharge diagnosis of critical illness polyneuropathy and/or myopathy and the need for effective preventive interventions.
Collapse
|
29
|
Pedersen PB, Hrobjartsson A, Nielsen DL, Henriksen DP, Brabrand M, Lassen AT. Prevalence and prognosis of acutely ill patients with organ failure at arrival to hospital: protocol for a systematic review. Syst Rev 2017; 6:227. [PMID: 29141664 PMCID: PMC5688673 DOI: 10.1186/s13643-017-0622-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 11/07/2017] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Acutely ill patients are a heterogeneous group, and some of these suffer from organ failure. As the prognosis of organ failure improves with early treatment, it is important to identify these patients as early as possible. Most studies on organ failure have been performed in intensive care settings, or on selected groups of patients, where a high prevalence and mortality have been reported. Before patients arrive to the intensive care unit, or the general ward, most of them have passed through the emergency department (ED), where diagnosis and treatment has been initiated. The prevalence and prognosis of acutely ill patients, with organ failure, at arrival have been studied in some selected groups, but methods and results differ. This systematic review aims to identify, summarize, and analyze studies of prevalence and prognosis of new onset organ failure in acutely ill undifferentiated patients, at arrival to hospital. The result of the review will assist physicians working in an ED, when assessing patients' risk of organ failure and their associated prognosis. METHODS The information sources used are electronic databases, PubMed, Cochrane Library, EMBASE, and CINAHL; references in included studies and review articles; and authors' personal files. One author will perform the title and abstract screening and exclude obviously ineligible studies. By an independent full-text screening, two authors will decide on the eligibility for the remaining studies. Eligible studies will include an unselected group of acutely ill adult patients at arrival to hospital, with one or more organ failures (respiratory, renal, cerebral, circulatory, hepatic, or coagulation failure). Included studies will have assessed the prevalence or prognosis, defined as mortality or ICU transfer, of new onset organ failure. From included studies, bibliographical and study description data, patient characteristics, and data related to prevalence of organ failure and prognosis will be extracted. We will assess risk of bias in included studies using the Quality in Prognosis Studies tool for prognostic studies and the Newcastle-Ottawa Scale for observational studies. We expect heterogeneity and to conduct a qualitative synthesis of the results. If, however, heterogeneity is low, we will conduct a random effects meta-analysis stratified by basic study design. DISCUSSION This review will summarize and analyze studies of prevalence and prognosis of acutely ill patients, with organ failure at arrival to hospital, assist ED physicians assessing the risk of organ failure in unselected patients, and guide recommendations for further research. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42017060871.
Collapse
Affiliation(s)
- Peter Bank Pedersen
- Department of Emergency Medicine, Institute of Clinical Research, University of Southern Denmark and Odense University Hospital, DK-5000, Odense C, Denmark.
| | - Asbjorn Hrobjartsson
- Centre for Evidence-Based Medicine, University of Southern Denmark and Odense University Hospital, DK-5000, Odense C, Denmark
| | - Daniel Lykke Nielsen
- Department of Emergency Medicine, Odense University Hospital, DK-5000, Odense C, Denmark
| | - Daniel Pilsgaard Henriksen
- Department of Emergency Medicine and Department of Respiratory Medicine, Odense University Hospital, DK-5000, Odense C, Denmark
| | - Mikkel Brabrand
- Department of Emergency Medicine, Odense University Hospital, DK-5000, Odense C, Denmark.,Hospital of South West Jutland, DK-6700, Esbjerg, Denmark
| | - Annmarie Touborg Lassen
- Department of Emergency Medicine, Institute of Clinical Research, University of Southern Denmark and Odense University Hospital, DK-5000, Odense C, Denmark
| |
Collapse
|
30
|
Lone NI, Gillies MA, Haddow C, Dobbie R, Rowan KM, Wild SH, Murray GD, Walsh TS. Five-Year Mortality and Hospital Costs Associated with Surviving Intensive Care. Am J Respir Crit Care Med 2017; 194:198-208. [PMID: 26815887 DOI: 10.1164/rccm.201511-2234oc] [Citation(s) in RCA: 170] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Survivors of critical illness experience significant morbidity, but the impact of surviving the intensive care unit (ICU) has not been quantified comprehensively at a population level. OBJECTIVES To identify factors associated with increased hospital resource use and to ascertain whether ICU admission was associated with increased mortality and resource use. METHODS Matched cohort study and pre/post-analysis using national linked data registries with complete population coverage. The population consisted of patients admitted to all adult general ICUs during 2005 and surviving to hospital discharge, identified from the Scottish Intensive Care Society Audit Group registry, matched (1:1) with similar hospital control subjects. Five-year outcomes included mortality and hospital resource use. Confounder adjustment was based on multivariable regression and pre/post within-individual analyses. MEASUREMENTS AND MAIN RESULTS Of 7,656 ICU patients, 5,259 survived to hospital discharge (5,215 [99.2%] matched to hospital control subjects). Factors present before ICU admission (comorbidities/pre-ICU hospitalizations) were stronger predictors of hospital resource use than acute illness factors. In the 5 years after the initial hospital discharge, compared with hospital control subjects, the ICU cohort had higher mortality (32.3% vs. 22.7%; hazard ratio, 1.33; 95% confidence interval, 1.22-1.46; P < 0.001), used more hospital resources (mean hospital admission rate, 4.8 vs. 3.3/person/5 yr), and had 51% higher mean 5-year hospital costs ($25,608 vs. $16,913/patient). Increased resource use persisted after confounder adjustment (P < 0.001) and using pre/post-analyses (P < 0.001). Excess resource use and mortality were greatest for younger patients without significant comorbidity. CONCLUSIONS This complete, national study demonstrates that ICU survivorship is associated with higher 5-year mortality and hospital resource use than hospital control subjects, representing a substantial burden on individuals, caregivers, and society.
Collapse
Affiliation(s)
- Nazir I Lone
- 1 Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.,2 Department of Anaesthesia, Critical Care and Pain, University of Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Michael A Gillies
- 2 Department of Anaesthesia, Critical Care and Pain, University of Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Catriona Haddow
- 3 Information Services Division, NHS Scotland, Edinburgh, United Kingdom; and
| | - Richard Dobbie
- 3 Information Services Division, NHS Scotland, Edinburgh, United Kingdom; and
| | - Kathryn M Rowan
- 4 Intensive Care National Audit & Research Centre, London, United Kingdom
| | - Sarah H Wild
- 1 Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Gordon D Murray
- 1 Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Timothy S Walsh
- 2 Department of Anaesthesia, Critical Care and Pain, University of Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| |
Collapse
|
31
|
Purtle SW, Horkan CM, Moromizato T, Gibbons FK, Christopher KB. Nucleated red blood cells, critical illness survivors and postdischarge outcomes: a cohort study. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2017. [PMID: 28633658 PMCID: PMC5479031 DOI: 10.1186/s13054-017-1724-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Little is known about risk factors associated with out-of-hospital outcomes in survivors of critical illness. We hypothesized that the presence of nucleated red blood cells in patients who survived critical care would be associated with adverse outcomes following hospital discharge. Methods We performed a two-center observational cohort study of patients treated in medical and surgical intensive care units in Boston, Massachusetts. All data were obtained from the Research Patient Data Registry at Partners HealthCare. We studied 2878 patients, age ≥ 18 years, who received critical care between 2011 and 2015 and survived hospitalization. The exposure of interest was nucleated red blood cells occurring from 2 days prior to 7 days after critical care initiation. The primary outcome was mortality in the 90 days following hospital discharge. Secondary outcome was unplanned 30-day hospital readmission. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both nucleated red blood cells and outcome. Adjustment included age, race (white versus nonwhite), gender, Deyo–Charlson Index, patient type (medical versus surgical), sepsis and acute organ failure. Results In patients who received critical care and survived hospitalization, the absolute risk of 90-day postdischarge mortality was 5.9%, 11.7%, 15.8% and 21.9% in patients with 0/μl, 1–100/μl, 101–200/μl and more than 200/μl nucleated red blood cells respectively. Nucleated red blood cells were a robust predictor of postdischarge mortality and remained so following multivariable adjustment. The fully adjusted odds of 90-day postdischarge mortality in patients with 1–100/μl, 101–200/μl and more than 200/μl nucleated red blood cells were 1.77 (95% CI, 1.23–2.54), 2.51 (95% CI, 1.36–4.62) and 3.72 (95% CI, 2.16–6.39) respectively, relative to patients without nucleated red blood cells. Further, the presence of nucleated red blood cells is a significant predictor of the odds of unplanned 30-day hospital readmission. Conclusion In critically ill patients who survive hospitalization, the presence of nucleated red blood cells is a robust predictor of postdischarge mortality and unplanned hospital readmission. Electronic supplementary material The online version of this article (doi:10.1186/s13054-017-1724-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Steven W Purtle
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Boulder, CO, USA
| | - Clare M Horkan
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Takuhiro Moromizato
- Renal and Rheumatology Division, Internal Medicine Department, Okinawa Southern Medical Center and Children's Hospital, Haebaru, Okinawa, Japan
| | - Fiona K Gibbons
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Kenneth B Christopher
- The Nathan E. Hellman Memorial Laboratory, Renal Division, Channing Division of Network Medicine, Brigham and Women's Hospital, MRB 418, 75 Francis Street, Boston, MA, 02115, USA.
| |
Collapse
|
32
|
An Exploratory Study of Long-Term Outcome Measures in Critical Illness Survivors: Construct Validity of Physical Activity, Frailty, and Health-Related Quality of Life Measures. Crit Care Med 2017; 44:e362-9. [PMID: 26974547 DOI: 10.1097/ccm.0000000000001645] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Functional capacity is commonly impaired after critical illness. We sought to clarify the relationship between objective measures of physical activity, self-reported measures of health-related quality of life, and clinician reported global functioning capacity (frailty) in such patients, as well as the impact of prior chronic disease status on these functional outcomes. DESIGN Prospective outcome study of critical illness survivors. SETTING Community-based follow-up. PATIENTS Participants of the Musculoskeletal Ultrasound Study in Critical Care: Longitudinal Evaluation Study (NCT01106300), invasively ventilated for more than 48 hours and on the ICU greater than 7 days. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Physical activity levels (health-related quality of life [36-item short-form health survey] and daily step counts [accelerometry]) were compared to norm-based or healthy control scores, respectively. Controls for frailty (Clinical Frailty Score) were non-morbid, age- and gender-matched to survivors. Ninety-one patients were recruited on ICU admission: 41 were contacted for post-discharge assessment, and data were collected from 30 (14 female; mean age, 55.3 yr [95% CI, 48.3-62.3]; mean post-discharge, 576 d [95% CI, 539-614]). Patients' mean daily step count (5,803; 95% CI, 4,792-6,813) was lower than that in controls (11,735; 95% CI, 10,928-12,542; p < 0.001), and lower in those with preexisting chronic disease than without (2,989 [95% CI, 776-5,201] vs 7,737 [95% CI, 4,907-10,567]; p = 0.013). Physical activity measures (accelerometry, health-related quality of life, and frailty) demonstrated good construct validity across all three tools. Step variability (from SD) was highly correlated with daily steps (r = 0.67; p < 0.01) demonstrating a potential boundary constraint. CONCLUSIONS Subjective and objective measures of physical activity are all informative in ICU survivors. They are all reduced 18 months post-discharge in ICU survivors, and worse in those with pre-admission chronic disease states. Investigating interventions to improve functional capacity in ICU survivors will require stratification based on the presence of premorbidity.
Collapse
|
33
|
Yang T, Sun S, Lin L, Han M, Liu Q, Zeng X, Zhao Y, Li Y, Su B, Huang S, Yang L. Predictive Factors Upon Discontinuation of Renal Replacement Therapy for Long-Term Chronic Dialysis and Death in Acute Kidney Injury Patients. Artif Organs 2017; 41:1127-1134. [PMID: 28544060 DOI: 10.1111/aor.12927] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Revised: 11/13/2016] [Accepted: 01/10/2017] [Indexed: 02/05/2023]
Abstract
The specific timing for discontinuing renal replacement therapy (RRT) in acute kidney injury (AKI) patients is debatable. The predictive abilities of variables at the time of discontinuation of RRT for the long-term prognoses of patients have not been explored. This study aimed to explore the prognostic factors upon discontinuation of RRT for long-term chronic dialysis and death of patients with acute RRT-requiring AKI, thus improving decision making regarding the discontinuation of RRT and the follow-up of patients thereafter. A cohort of 302 AKI patients who required acute RRT and remained alive and free of dialysis for at least 30 days after discharge from January 2009 to December 2012 were followed up. The predictive abilities of general characteristics, RRT details, and variables upon discontinuation of RRT for long-term chronic dialysis and all-cause death were evaluated using Cox proportional hazards models. Kaplan-Meier analysis with a log-rank test was used to compare the survival curves between the strata of levels of good predictors upon discontinuation of RRT. After a median follow-up time of 4.1 years, 20 (6.6%) patients initiated chronic dialysis and 56 (18.5%) patients died. A higher CysC level upon discontinuation of RRT (HR 1.520, 95% CI 1.082-2.135; P = 0.016), comorbid chronic kidney disease, and a higher non-renal Charlson comorbidity index (CCI) were independently predictive for chronic dialysis. The hemoglobin level upon discontinuation of RRT was inversely predictive of death (HR 0.986, 95% CI 0.973-0.999; P = 0.035), and comorbid malignancy, the presence of multiple organ dysfunction syndrome, and a higher non-renal CCI also predicted death. Urine output upon discontinuation of RRT was marginally inversely predictive of death (HR 0.997, 95% CI 0.994-1.000; P = 0.056). Patients who discontinued RRT with CysC levels <2.97 mg/L, hemoglobin levels >85 g/L, and urine output >1130 mL/24 h showed significantly higher non-chronic dialysis and survival rates according to a log-rank test. Our study suggested that upon discontinuation of RRT, higher serum CysC levels had the most promising predictive value for long-term chronic dialysis, and lower hemoglobin levels predicted long-term death; lower urine output also marginally predicted long-term death. Based on the remission of the comprehensive condition, lower CysC levels and higher hemoglobin levels and urine output should be considered in the decision to stop RRT. Patients showing worse levels of these indices upon discontinuation of RRT should undergo stricter follow-up and treatment to improve long-term outcomes.
Collapse
Affiliation(s)
- Tingting Yang
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Si Sun
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Liping Lin
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Mei Han
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Qiang Liu
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Xiaoxi Zeng
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Yuliang Zhao
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Yupei Li
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Baihai Su
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Songmin Huang
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| | - Lichuan Yang
- Division of Nephrology, West China Hospital of Sichuan University, Sichuan, People's Republic of China
| |
Collapse
|
34
|
Krüger-Genge A, Jung F, Fuhrmann R, Franke RP. Shear resistance of endothelial cells in a pathological environment. Clin Hemorheol Microcirc 2017; 64:383-389. [DOI: 10.3233/ch-168111] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Anne Krüger-Genge
- Institute of Biomaterial Science and Berlin-Brandenburg Center for Regenerative Therapies, Helmholtz-Zentrum Geesthacht, Teltow, Germany
| | - Friedrich Jung
- Institute of Biomaterial Science and Berlin-Brandenburg Center for Regenerative Therapies, Helmholtz-Zentrum Geesthacht, Teltow, Germany
- Institute of Clinical Hemostaseology and Transfusion Medicine, University of Saarland, Germany
| | - Rosemarie Fuhrmann
- Department of Biomaterials, Central Institute for Biomedical Engineering, University of Ulm, Ulm, Germany
| | - Ralf-Peter Franke
- Department of Biomaterials, Central Institute for Biomedical Engineering, University of Ulm, Ulm, Germany
| |
Collapse
|
35
|
Shankar-Hari M, Rubenfeld GD. Understanding Long-Term Outcomes Following Sepsis: Implications and Challenges. Curr Infect Dis Rep 2016; 18:37. [PMID: 27709504 PMCID: PMC5052282 DOI: 10.1007/s11908-016-0544-7] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Sepsis is life-threating organ dysfunction due to infection. Incidence of sepsis is increasing and the short-term mortality is improving, generating more sepsis survivors. These sepsis survivors suffer from additional morbidities such as higher risk of readmissions, cardiovascular disease, cognitive impairment and of death, for years following index sepsis episode. In the first year following index sepsis episode, approximately 60 % of sepsis survivors have at least one rehospitalisation episode, which is most often due to infection and one in six sepsis survivors die. Sepsis survivors also have a higher risk of cognitive impairment and cardiovascular disease contributing to the reduced life expectancy seen in this population, when assessed with life table comparisons. For optimal design of interventional trials to reduce these bad outcomes in sepsis survivors, in-depth understanding of major risk factors for these morbid events, their modifiability and a causal relationship to the pathobiology of sepsis is essential. This review highlights the recent advances, clinical and methodological challenges in our understanding of these morbid events in sepsis survivors.
Collapse
Affiliation(s)
- Manu Shankar-Hari
- Critical Care Medicine, Guy's and St Thomas' NHS Foundation Trust, 1st Floor, East Wing, St Thomas' Hospital, London, SE17EH, UK.
- Division of Asthma, Allergy and Lung Biology, Kings College London, London, SE1 9RT, UK.
| | - Gordon D Rubenfeld
- Interdepartmental Division of Critical Care Medicine, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, D5 03, Toronto, ON, M4N 3M5, Canada
| |
Collapse
|
36
|
Pneumonia presenting with organ dysfunctions: Causative microorganisms, host factors and outcome. J Infect 2016; 73:419-426. [PMID: 27506395 DOI: 10.1016/j.jinf.2016.08.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 07/25/2016] [Accepted: 08/02/2016] [Indexed: 11/23/2022]
Abstract
Community-acquired pneumonia (CAP) is a serious infection that may occasionally rapidly evolve provoking organ dysfunctions. We aimed to characterize CAP presenting with organ dysfunctions at the emergency room, with regard to host factors and causative microorganisms, and its impact on 30-day mortality. 460 of 4070 (11.3%) CAP patients had ≥2 dysfunctions at diagnosis, with a 30-day mortality of 12.4% vs. 3.4% in those with one or no dysfunctions. Among them, the most frequent causative microorganisms were Streptococcus pneumoniae, gram-negatives and polymicrobial etiology. Independent host risk factors for presenting with ≥2 dysfunctions were: liver (OR 2.97) and renal diseases (OR 3.91), neurological disorders (OR 1.86), and COPD (OR 1.30). Methicillin-resistant Staphylococcus aureus (OR 6.41) and bacteraemic episodes (OR 1.68) had the higher independent risk among microorganisms. The number of organ dysfunctions vs. none increased at 30-day mortality: three organs (OR 11.73), two organs (OR 4.29), and one organ (OR 2.42) whereas Enterobacteria (OR 3.73) were also independently related to mortality. The number of organ dysfunctions was the strongest 30-day mortality risk factor while Enterobacteriaceae was also associated with poorer outcome. The assessment of organ dysfunctions in CAP should be implemented for management, allocation and treatment decisions on initial evaluation.
Collapse
|
37
|
Dinglas VD, Hopkins RO, Wozniak AW, Hough CL, Morris PE, Jackson JC, Mendez-Tellez PA, Bienvenu OJ, Ely EW, Colantuoni E, Needham DM. One-year outcomes of rosuvastatin versus placebo in sepsis-associated acute respiratory distress syndrome: prospective follow-up of SAILS randomised trial. Thorax 2016; 71:401-10. [PMID: 26936876 PMCID: PMC6998199 DOI: 10.1136/thoraxjnl-2015-208017] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 02/05/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND Prior randomised trials have evaluated statins in patients with sepsis and acute respiratory distress syndrome (ARDS), but there has been no comprehensive evaluation of long-term effects, despite potential neuromuscular and mental health adverse effects of these drugs. AIM To evaluate the effect of rosuvastatin versus placebo on survival, physical function and performance, and mental health outcomes in patients with sepsis-associated ARDS. METHODS Prospective follow-up evaluation of the ARDS Clinical Trials Network Statins for Acutely Injured Lungs from Sepsis trial of rosuvastatin versus placebo in 568 mechanically ventilated patients with sepsis-associated ARDS, with blinded 6-month outcome assessment performed in the 272 eligible survivors for age-adjusted and sex-adjusted 36-Item Short Form Health Survey (SF-36) physical function and mental health domains, and in 84 eligible survivors for the 6 min walk test, along with secondary outcomes evaluations of survival, and additional patient-reported and performance-based measures at 6-month and 12-month follow-up. RESULTS Over 1-year follow-up, there was no significant difference in cumulative survival in the rosuvastatin versus placebo groups (58% vs 61%; p=0.377), with survivors demonstrating substantial impairments in physical function and mental health. Rosuvastatin versus placebo had no effect (mean treatment effect (95% CI)) on SF-36 physical function (0 (-7 to 8), p=0.939) or mental health (-6 (-12 to 1) p=0.085) domains, 6 min walk distance (per cent predicted: 2 (-9 to 14), p=0.679) or the vast majority of secondary outcomes. CONCLUSIONS Over 1-year follow-up, patients with sepsis-associated ARDS had high cumulative mortality, with survivors commonly experiencing impairments in physical functioning and performance, and mental health. Randomisation to rosuvastatin had no effect on these outcomes. TRIAL REGISTRATION NUMBER NCT00979121 and NCT00719446.
Collapse
Affiliation(s)
- Victor D Dinglas
- Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ramona O Hopkins
- Pulmonary and Critical Care Division, Department of Medicine, Intermountain Medical Center, Murray, Utah, USA Psychology Department and Neuroscience Center, Brigham Young University, Provo, Utah, USA Center for Humanizing Critical Care, Intermountain Health Care, Murray, Utah, USA
| | - Amy W Wozniak
- Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Catherine L Hough
- Division of Pulmonary and Critical Care Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA
| | - Peter E Morris
- Division of Pulmonary, Critical Care & Sleep Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - James C Jackson
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Pedro A Mendez-Tellez
- Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - O Joseph Bienvenu
- Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - E Wesley Ely
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA Geriatric Research, Education and Clinical Center Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Elizabeth Colantuoni
- Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Dale M Needham
- Outcomes after Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, Maryland, USA Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
38
|
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.
Collapse
|
39
|
Harrison DA, Ferrando-Vivas P, Shahin J, Rowan KM. Ensuring comparisons of health-care providers are fair: development and validation of risk prediction models for critically ill patients. HEALTH SERVICES AND DELIVERY RESEARCH 2015. [DOI: 10.3310/hsdr03410] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BackgroundNational clinical audit has a key role in ensuring quality in health care. When comparing outcomes between providers, it is essential to take the differing case mix of patients into account to make fair comparisons. Accurate risk prediction models are therefore required.ObjectivesTo improve risk prediction models to underpin quality improvement programmes for the critically ill (i.e. patients receiving general or specialist adult critical care or experiencing an in-hospital cardiac arrest).DesignRisk modelling study nested within prospective data collection.SettingAdult (general/specialist) critical care units and acute hospitals in the UK.ParticipantsPatients admitted to an adult critical care unit and patients experiencing an in-hospital cardiac arrest attended by the hospital-based resuscitation team.InterventionsNone.Main outcome measuresAcute hospital mortality (adult critical care); return of spontaneous circulation (ROSC) greater than 20 minutes and survival to hospital discharge (in-hospital cardiac arrest).Data sourcesThe Case Mix Programme (adult critical care) and National Cardiac Arrest Audit (in-hospital cardiac arrest).ResultsThe current Intensive Care National Audit & Research Centre (ICNARC) model was externally validated using data for 29,626 admissions to critical care units in Scotland (2007–9) and outperformed the Acute Physiology And Chronic Health Evaluation (APACHE) II model in terms of discrimination (c-index 0.848 vs. 0.806) and accuracy (Brier score 0.140 vs. 0.157). A risk prediction model for cardiothoracic critical care was developed using data from 17,002 admissions to five units (2010–12) and validated using data from 10,238 admissions to six units (2013–14). The model included prior location/urgency, blood lactate concentration, Glasgow Coma Scale (GCS) score, age, pH, platelet count, dependency, mean arterial pressure, white blood cell (WBC) count, creatinine level, admission following cardiac surgery and interaction terms, and it had excellent discrimination (c-index 0.904) and accuracy (Brier score 0.055). A risk prediction model for admissions to all (general/specialist) adult critical care units was developed using data from 155,239 admissions to 232 units (2012) and validated using data from 90,017 admissions to 216 units (2013). The model included systolic blood pressure, temperature, heart rate, respiratory rate, partial pressure of oxygen in arterial blood/fraction of inspired oxygen, pH, partial pressure of carbon dioxide in arterial blood, blood lactate concentration, urine output, creatinine level, urea level, sodium level, WBC count, platelet count, GCS score, age, dependency, past medical history, cardiopulmonary resuscitation, prior location/urgency, reason for admission and interaction terms, and it outperformed the current ICNARC model for discrimination and accuracy overall (c-index 0.885 vs. 0.869; Brier score 0.108 vs. 0.115) and across unit types. Risk prediction models for in-hospital cardiac arrest were developed using data from 14,688 arrests in 122 hospitals (2011–12) and validated using data from 7791 arrests in 143 hospitals (2012–13). The models included age, sex (for ROSC > 20 minutes), prior length of stay in hospital, reason for attendance, location of arrest, presenting rhythm, and interactions between rhythm and location. Discrimination for hospital survival exceeded that for ROSC > 20 minutes (c-index 0.811 vs. 0.720).LimitationsThe risk prediction models developed were limited by the data available within the current national clinical audit data sets.ConclusionsWe have developed and validated risk prediction models for cardiothoracic and adult (general and specialist) critical care units and for in-hospital cardiac arrest.Future workFuture development should include linkage with other routinely collected data to enhance available predictors and outcomes.Funding detailsThe National Institute for Health Research Health Services and Delivery Research programme.
Collapse
Affiliation(s)
- David A Harrison
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, UK
| | - Paloma Ferrando-Vivas
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, UK
| | - Jason Shahin
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, UK
- Department of Medicine, Respiratory Division and Department of Critical Care, McGill University, Montreal, QC, Canada
| | - Kathryn M Rowan
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, UK
| |
Collapse
|
40
|
Individual Organ Failure and Concomitant Risk of Mortality Differs According to the Type of Admission to ICU - A Retrospective Study of SOFA Score of 23,795 Patients. PLoS One 2015; 10:e0134329. [PMID: 26241475 PMCID: PMC4524700 DOI: 10.1371/journal.pone.0134329] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2014] [Accepted: 07/08/2015] [Indexed: 01/06/2023] Open
Abstract
Introduction Organ dysfunction or failure after the first days of ICU treatment and subsequent mortality with respect to the type of intensive care unit (ICU) admission is poorly elucidated. Therefore we analyzed the association of ICU mortality and admission for medical (M), scheduled surgery (ScS) or unscheduled surgery (US) patients mirrored by the occurrence of organ dysfunction/failure (OD/OF) after the first 72h of ICU stay. Methods For this retrospective cohort study (23,795 patients; DIVI registry; German Interdisciplinary Association for Intensive Care Medicine (DIVI)) organ dysfunction or failure were derived from the Sequential Organ Failure Assessment (SOFA) score (excluding the Glasgow Coma Scale). SOFA scores were collected on admission to ICU and 72h later. For patients with a length of stay of at least five days, a multivariate analysis was performed for individual OD/OF on day three. Results M patients had the lowest prevalence of cardiovascular failure (M 31%; ScS 35%; US 38%), and the highest prevalence of respiratory (M 24%; ScS 13%; US 17%) and renal failure (M 10%; ScS 6%; US 7%). Risk of death was highest for M- and ScS-patients in those with respiratory failure (OR; M 2.4; ScS 2.4; US 1.4) and for surgical patients with renal failure (OR; M 1.7; ScS 2.7; US 2.4). Conclusion The dynamic evolution of OD/OF within 72h after ICU admission and mortality differed between patients depending on their types of admission. This has to be considered to exclude a systematic bias during multi-center trials.
Collapse
|
41
|
Files DC, Sanchez MA, Morris PE. A conceptual framework: the early and late phases of skeletal muscle dysfunction in the acute respiratory distress syndrome. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2015; 19:266. [PMID: 26134116 PMCID: PMC4488983 DOI: 10.1186/s13054-015-0979-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Patients with acute respiratory distress syndrome (ARDS) often develop severe diaphragmatic and limb skeletal muscle dysfunction. Impaired muscle function in ARDS is associated with increased mortality, increased duration of mechanical ventilation, and functional disability in survivors. In this review, we propose that muscle dysfunction in ARDS can be categorized into an early and a late phase. These early and late phases are based on the timing in relationship to lung injury and the underlying mechanisms. The early phase occurs temporally with the onset of lung injury, is driven by inflammation and disuse, and is marked predominantly by muscle atrophy from increased protein degradation. The ubiquitin-proteasome, autophagy, and calpain-caspase pathways have all been implicated in early-phase muscle dysfunction. Late-phase muscle weakness persists in many patients despite resolution of lung injury and cessation of ongoing acute inflammation-driven muscle atrophy. The clinical characteristics and mechanisms underlying late-phase muscle dysfunction do not involve the massive protein degradation and atrophy of the early phase and may reflect a failure of the musculoskeletal system to regain homeostatic balance. Owing to these underlying mechanistic differences, therapeutic interventions for treating muscle dysfunction in ARDS may differ during the early and late phases. Here, we review clinical and translational investigations of muscle dysfunction in ARDS, placing them in the conceptual framework of the early and late phases. We hypothesize that this conceptual model will aid in the design of future mechanistic and clinical investigations of the skeletal muscle system in ARDS and other critical illnesses.
Collapse
Affiliation(s)
- D Clark Files
- Section on Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA. .,Critical Illness Injury and Recovery Research Center Chadwick Miller MD Department of Emergency Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
| | - Michael A Sanchez
- Section on Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Peter E Morris
- Section on Pulmonary, Critical Care, Allergy and Immunologic Diseases, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.,Critical Illness Injury and Recovery Research Center Chadwick Miller MD Department of Emergency Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| |
Collapse
|
42
|
Ranzani OT, Zampieri FG, Besen BAMP, Azevedo LCP, Park M. One-year survival and resource use after critical illness: impact of organ failure and residual organ dysfunction in a cohort study in Brazil. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2015; 19:269. [PMID: 26108673 PMCID: PMC4512155 DOI: 10.1186/s13054-015-0986-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 06/12/2015] [Indexed: 12/15/2022]
Abstract
Introduction In this study, we evaluated the impacts of organ failure and residual dysfunction on 1-year survival and health care resource use using Intensive Care Unit (ICU) discharge as the starting point. Methods We conducted a historical cohort study, including all adult patients discharged alive after at least 72 h of ICU stay in a tertiary teaching hospital in Brazil. The starting point of follow-up was ICU discharge. Organ failure was defined as a value of 3 or 4 in its corresponding component of the Sequential Organ Failure Assessment score, and residual organ dysfunction was defined as a score of 1 or 2. We fit a multivariate flexible Cox model to predict 1-year survival. Results We analyzed 690 patients. Mortality at 1 year after discharge was 27 %. Using multivariate modeling, age, chronic obstructive pulmonary disease, cancer, organ dysfunctions and albumin at ICU discharge were the main determinants of 1-year survival. Age and organ failure were non-linearly associated with survival, and the impact of organ failure diminished over time. We conducted a subset analysis with 561 patients (81 %) discharged without organ failure within the previous 24 h of discharge, and the number of residual organs in dysfunction remained strongly associated with reduced 1-year survival. The use of health care resources among hospital survivors was substantial within 1 year: 40 % of the patients were rehospitalized, 52 % visited the emergency department, 90 % were seen at the outpatient clinic, 14 % attended rehabilitation outpatient services, 11 % were followed by the psychological or psychiatric service and 7 % used the day hospital facility. Use of health care resources up to 30 days after hospital discharge was associated with the number of organs in dysfunction at ICU discharge. Conclusions Organ failure was an important determinant of 1-year outcome of critically ill survivors. Nevertheless, the impact of organ failure tended to diminish over time. Resource use after critical illness was elevated among ICU survivors, and a targeted action is needed to deliver appropriate care and to reduce the late critical illness burden. Electronic supplementary material The online version of this article (doi:10.1186/s13054-015-0986-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Otavio T Ranzani
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clínicas, University of São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 255, 5th floor, Room 5023, São Paulo, 05403-010, Brazil.
| | - Fernando G Zampieri
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clínicas, University of São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 255, 5th floor, Room 5023, São Paulo, 05403-010, Brazil.
| | - Bruno A M P Besen
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clínicas, University of São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 255, 5th floor, Room 5023, São Paulo, 05403-010, Brazil.
| | - Luciano C P Azevedo
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clínicas, University of São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 255, 5th floor, Room 5023, São Paulo, 05403-010, Brazil. .,Research and Education Institute, Hospital Sirio-Libanes, São Paulo, Brazil.
| | - Marcelo Park
- Intensive Care Unit, Emergency Medicine Discipline, Hospital das Clínicas, University of São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 255, 5th floor, Room 5023, São Paulo, 05403-010, Brazil. .,Research and Education Institute, Hospital Sirio-Libanes, São Paulo, Brazil.
| |
Collapse
|
43
|
The association of acute kidney injury in the critically ill and postdischarge outcomes: a cohort study*. Crit Care Med 2015; 43:354-64. [PMID: 25474534 DOI: 10.1097/ccm.0000000000000706] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Hospital readmissions contribute significantly to the cost of inpatient care and are targeted as a marker for quality of care. Little is known about risk factors associated with hospital readmission in survivors of critical illness. We hypothesized that acute kidney injury in patients who survived critical care would be associated with increased risk of 30-day postdischarge hospital readmission, postdischarge mortality, and progression to end-stage renal disease. DESIGN Two center observational cohort study. SETTING Medical and surgical ICUs at the Brigham and Women's Hospital and the Massachusetts General Hospital in Boston, Massachusetts. PATIENTS We studied 62,096 patients, 18 years old and older, who received critical care between 1997 and 2012 and survived hospitalization. INTERVENTIONS None MEASUREMENTS AND MAIN RESULTS : All data was obtained from the Research Patient Data Registry at Partners HealthCare. The exposure of interest was acute kidney injury defined as meeting Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease Risk, Injury or Failure criteria occurring 3 days prior to 7 days after critical care initiation. The primary outcome was hospital readmission in the 30 days following hospital discharge. The secondary outcome was mortality in the 30 days following hospital discharge. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both acute kidney injury and readmission status. Adjustment included age, race (white vs nonwhite), gender, Deyo-Charlson Index, patient type (medical vs surgical) and sepsis. Additionally, long-term progression to End Stage Renal Disease in patients with acute kidney injury was analyzed with a risk-adjusted Cox proportional hazards regression model. The absolute risk of 30-day readmission was 12.3%, 19.0%, 21.2%, and 21.1% in patients with No Acute Kidney Injury, Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Injury, and Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Failure, respectively. In patients who received critical care and survived hospitalization, acute kidney injury was a robust predictor of hospital readmission and post-discharge mortality and remained so following multivariable adjustment. The odds of 30-day post-discharge hospital readmission in patients with Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Injury, or Failure fully adjusted were 1.44 (95% CI, 1.25-1.66), 1.98 (95% CI, 1.66-2.36), and 1.55 (95% CI, 1.26-1.91) respectively, relative to patients without acute kidney injury. Further, the odds of 30-day post-discharge mortality in patients with Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Injury, or Failure fully adjusted per our primary analysis were 1.39 (95% CI, 1.28-1.51), 1.46 (95% CI, 1.30-1.64), and 1.42 (95% CI, 1.26-1.61) respectively, relative to patients without acute kidney injury. The addition of the propensity score to the multivariable model did not change the point estimates significantly. Finally, taking into account age, gender, race, Deyo-Charlson Index, and patient type, we observed a relationship between acute kidney injury and development of end-stage renal disease. Patients with Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Injury, Failure experienced a significantly higher risk of end-stage renal disease during follow-up than patients without acute kidney injury (hazard ratio, 2.03; 95% CI, 1.56-2.65; hazard ratio, 3.99; 95% CI, 3.04-5.23; hazard ratio, 10.40; 95% CI, 8.54-12.69, respectively). CONCLUSIONS Patients who suffer acute kidney injury are among a high-risk group of ICU survivors for adverse outcomes. In patients treated with critical care who survive hospitalization, acute kidney injury is a robust predictor of subsequent unplanned hospital readmission. In critical illness survivors, acute kidney injury is also associated with the odds of 30-day postdischarge mortality and the risk of subsequent end-stage renal disease.
Collapse
|
44
|
Giacomini MG, Lopes MVCA, Gandolfi JV, Lobo SMA. Septic shock: a major cause of hospital death after intensive care unit discharge. Rev Bras Ter Intensiva 2015; 27:51-6. [PMID: 25909313 PMCID: PMC4396897 DOI: 10.5935/0103-507x.20150009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Accepted: 02/19/2015] [Indexed: 11/28/2022] Open
Abstract
Objective To assess the causes and factors associated with the death of patients between
intensive care unit discharge and hospital discharge. Methods The present is a pilot, retrospective, observational cohort study. The records of
all patients admitted to two units of a public/private university hospital from
February 1, 2013 to April 30, 2013 were assessed. Demographic and clinical data,
risk scores and outcomes were obtained from the Epimed monitoring system and
confirmed in the electronic record system of the hospital. The relative risk and
respective confidence intervals were calculated. Results A total of 581 patients were evaluated. The mortality rate in the intensive care
unit was 20.8% and in the hospital was 24.9%. Septic shock was the cause of death
in 58.3% of patients who died after being discharged from the intensive care unit.
Of the patients from the public health system, 73 (77.6%) died in the intensive
care unit and 21 (22.4%) died in the hospital after being discharged from the
unit. Of the patients from the Supplementary Health System, 48 (94.1%) died in the
intensive care unit and 3 (5.9%) died in the hospital after being discharged from
the unit (relative risk, 3.87%; 95% confidence interval, 1.21 - 12.36; p <
0.05). The post-discharge mortality rate was significantly higher in patients with
intensive care unit hospitalization time longer than 6 days. Conclusion The main cause of death of patients who were discharged from the intensive care
unit and died in the ward before hospital discharge was septic shock. Coverage by
the public healthcare system and longer hospitalization time in the intensive care
unit were factors associated with death after discharge from the intensive care
unit.
Collapse
Affiliation(s)
| | | | - Joelma Villafanha Gandolfi
- Serviço de Terapia Intensiva, Hospital de Base de São José do Rio Preto, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brasil
| | - Suzana Margareth Ajeje Lobo
- Serviço de Terapia Intensiva, Hospital de Base de São José do Rio Preto, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brasil
| |
Collapse
|
45
|
Mukhopadhyay A, Tai BC, See KC, Ng WY, Lim TK, Onsiong S, Ee S, Chua MJ, Lee PR, Loh ML, Phua J. Risk factors for hospital and long-term mortality of critically ill elderly patients admitted to an intensive care unit. BIOMED RESEARCH INTERNATIONAL 2014; 2014:960575. [PMID: 25580439 PMCID: PMC4280808 DOI: 10.1155/2014/960575] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2014] [Accepted: 09/26/2014] [Indexed: 11/17/2022]
Abstract
BACKGROUND Data on long-term outcomes of elderly (≥65 years) patients in ICU are sparse. MATERIALS AND METHODS Adult patients (n = 1563, 45.4% elderly) admitted over 28 months were analyzed by competing risks regression model to determine independent factors related to in-hospital and long-term mortality. RESULTS 414 (26.5%) and 337 (21.6%) patients died in-hospital and during the 52 months following discharge, respectively; the elderly group had higher mortality during both periods. After discharge, elderly patients had 2.3 times higher mortality compared to the general population of the same age-group. In-hospital mortality was independently associated with mechanical ventilation (subdistribution hazard ratio (SHR) 2.74), vasopressors (SHR 2.56), neurological disease (SHR 1.77), and Mortality Prediction Model II score (SHR 1.01) regardless of age and with malignancy (SHR, hematological 3.65, nonhematological 3.4) and prior renal replacement therapy (RRT, SHR 2.21) only in the elderly. Long-term mortality was associated with low hemoglobin concentration (SHR 0.94), airway disease (SHR 2.23), and malignancy (SHR hematological 1.11, nonhematological 2.31) regardless of age and with comorbidities especially among the nonelderly. CONCLUSIONS Following discharge, elderly ICU patients have higher mortality compared to the nonelderly and general population. In the elderly group, prior RRT and malignancy contribute additionally to in-hospital mortality risk. In the long-term, comorbidities (age-related), anemia, airway disease, and malignancy were significantly associated with mortality.
Collapse
Affiliation(s)
- A. Mukhopadhyay
- Division of Respiratory and Critical Care Medicine, University Medicine Cluster, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - B. C. Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - K. C. See
- Division of Respiratory and Critical Care Medicine, University Medicine Cluster, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - W. Y. Ng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - T. K. Lim
- Division of Respiratory and Critical Care Medicine, University Medicine Cluster, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - S. Onsiong
- The University of Sheffield, Sheffield, UK
| | - S. Ee
- National University of Singapore, Singapore
| | - M. J. Chua
- National University of Singapore, Singapore
| | - P. R. Lee
- National University of Singapore, Singapore
| | - M. L. Loh
- National University of Singapore, Singapore
| | - J Phua
- Division of Respiratory and Critical Care Medicine, University Medicine Cluster, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| |
Collapse
|
46
|
Hites M, Dell'Anna AM, Scolletta S, Taccone FS. The challenges of multiple organ dysfunction syndrome and extra-corporeal circuits for drug delivery in critically ill patients. Adv Drug Deliv Rev 2014; 77:12-21. [PMID: 24842474 DOI: 10.1016/j.addr.2014.05.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Revised: 04/01/2014] [Accepted: 05/07/2014] [Indexed: 12/25/2022]
Abstract
The multiple organ dysfunction syndrome (MODS) is characterized by more than one organ system failing, especially during critical illness. MODS is the leading cause of morbidity and mortality in current ICU practice; moreover, multiple organ dysfunction, especially liver and kidneys, may significantly affect the pharmacokinetics (PKs) of different drugs that are currently administered in critically ill patients. These PK alterations may either result in insufficient drug concentrations to achieve the desired effects or in blood and tissue accumulation, with the development of serious adverse events. The use of extra-corporeal circuits, such as extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT), may further contribute to PKs changes in this patients' population. In this review, we have described the main PK changes occurring in all these conditions and how drug concentrations may potentially be affected. The lack of prospective studies on large cohorts of patients makes impossible any specific recommendation on drug regimen adjustment in ICU patients. Nevertheless, the clinicians should be aware of these abnormalities in order to better understand some unexpected therapeutic issues occurring in such patients.
Collapse
Affiliation(s)
- Maya Hites
- Department of Infectious Diseases, Hopital Erasme - Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels Belgium
| | - Antonio Maria Dell'Anna
- Department of Intensive Care, Hopital Erasme - Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels Belgium
| | - Sabino Scolletta
- Department of Anesthesia and Intensive Care, University of Siena, Viale Bracci 1, 53100 Siena, Italy
| | - Fabio Silvio Taccone
- Department of Intensive Care, Hopital Erasme - Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels Belgium.
| |
Collapse
|
47
|
Wolters AE, van Dijk D, Pasma W, Cremer OL, Looije MF, de Lange DW, Veldhuijzen DS, Slooter AJC. Long-term outcome of delirium during intensive care unit stay in survivors of critical illness: a prospective cohort study. Crit Care 2014; 18:R125. [PMID: 24942154 PMCID: PMC4095683 DOI: 10.1186/cc13929] [Citation(s) in RCA: 130] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2013] [Accepted: 06/04/2014] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Delirium is associated with impaired outcome, but it is unclear whether this relationship is limited to in-hospital outcomes and whether this relationship is independent of the severity of underlying conditions. The aim of this study was to investigate the association between delirium in the intensive care unit (ICU) and long-term mortality, self-reported health-related quality of life (HRQoL), and self-reported problems with cognitive functioning in survivors of critical illness, taking severity of illness at baseline and throughout ICU stay into account. METHODS A prospective cohort study was conducted. We included patients who survived an ICU stay of at least a day; exclusions were neurocritical care patients and patients who sustained deep sedation during the entire ICU stay. Delirium was assessed twice daily with the Confusion Assessment Method for the ICU (CAM-ICU) and additionally, patients who received haloperidol were considered delirious. Twelve months after ICU admission, data on mortality were obtained and HRQoL and cognitive functioning were measured with the European Quality of Life - Six dimensions self-classifier (EQ-6D). Regression analyses were used to assess the associations between delirium and the outcome measures adjusted for gender, type of admission, the Acute Physiology And Chronic Health Evaluation IV (APACHE IV) score, and the cumulative Sequential Organ Failure Assessment (SOFA) score throughout ICU stay. RESULTS Of 1101 survivors of critical illness, 412 persons (37%) had been delirious during ICU stay, and 198 (18%) died within twelve months. When correcting for confounders, no significant association between delirium and long-term mortality was found (hazard ratio: 1.26; 95% confidence interval (CI) 0.93 to 1.71). In multivariable analysis, delirium was not associated with HRQoL either (regression coefficient: -0.04; 95% CI -0.10 to 0.01). Yet, delirium remained associated with mild and severe problems with cognitive functioning in multivariable analysis (odds ratios: 2.41; 95% CI 1.57 to 3.69 and 3.10; 95% CI 1.10 to 8.74, respectively). CONCLUSIONS In this group of survivors of critical illness, delirium during ICU stay was not associated with long-term mortality or HRQoL after adjusting for confounding, including severity of illness throughout ICU stay. In contrast, delirium appears to be an independent risk factor for long-term self-reported problems with cognitive functioning.
Collapse
|
48
|
The association of red cell distribution width at hospital discharge and out-of-hospital mortality following critical illness*. Crit Care Med 2014; 42:918-29. [PMID: 24448196 DOI: 10.1097/ccm.0000000000000118] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVES Red cell distribution width is associated with mortality and bloodstream infection risk in the critically ill. In hospitalized patients with critical illness, it is not known if red cell distribution width can predict subsequent risk of all-cause mortality following hospital discharge. We hypothesized that an increase in red cell distribution width at hospital discharge in patients who survived to discharge following critical care would be associated with increased postdischarge mortality. DESIGN Two-center observational cohort study SETTING : All medical and surgical ICUs at the Brigham and Women's Hospital and Massachusetts General Hospital. PATIENTS We studied 43,212 patients, who were 18 years old or older and received critical care between 1997 and 2007 and survived hospitalization. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS The exposure of interest was red cell distribution width within 24 hours of hospital discharge and categorized a priori in quintiles as less than or equal to 13.3%, 13.3-14.0%, 14.0-14.7%, 14.7-15.8%, and more than 15.8%. The primary outcome was all-cause mortality in the 30 days following hospital discharge. Secondary outcomes included 90-day and 365-day mortality following hospital discharge. Mortality was determined using the U.S. Social Security Administration Death Master File, and 365-day follow-up was present in all cohort patients. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both red cell distribution width and mortality. Adjustment included age, race, gender, Deyo-Charlson Index, patient type (medical vs surgical), sepsis, and number of organs with acute failure. In patients who received critical care and survived hospitalization, the discharge red cell distribution width was a robust predictor of all-cause mortality and remained so following multivariable adjustment. Patients with a discharge red cell distribution width of 14.0-14.7%, 14.7-15.8%, and more than 15.8% have an odds ratio for mortality in the 30 days following hospital discharge of 2.86 (95% CI, 2.25-3.62), 4.57 (95% CI, 3.66-5.72), and 8.80 (95% CI, 7.15-10.83), respectively, all relative to patients with a discharge red cell distribution width less than or equal to 13.3%. Following multivariable adjustment, patients with a discharge red cell distribution width of 14.0-14.7%, 14.7-15.8%, and more than 15.8% have an odds ratio for mortality in the 30 days following hospital discharge of 1.63 (95% CI, 1.27-2.07), 2.36 (95% CI, 1.87-2.97), and 4.18 (95% CI, 3.36-5.20), respectively, all relative to patients with a discharge red cell distribution width less than or equal to 13.3%. Similar significant robust associations post multivariable adjustments are seen with death by days 90 and 365 postdischarge. Estimating the receiver-operating characteristic area under the curve shows that discharge red cell distribution width has moderate discriminative power for mortality 30 days following hospital discharge (area under the curve = 0.70; SE 0.006; 95% CI, 0.69-0.71; p < 0.0001). CONCLUSION In patients treated with critical care who survive hospitalization, an elevated red cell distribution width at the time of discharge is a robust predictor of subsequent all-cause patient mortality. Increased discharge red cell distribution width likely reflects the presence of proinflammatory state, oxidative stress, arterial underfilling, or a combination, thereof which may explain the observed impact on patient survival following discharge. Elevated red cell distribution width at hospital discharge may identify ICU survivors who are at risk for adverse outcomes following hospital discharge.
Collapse
|
49
|
Hess DR, Thompson BT, Slutsky AS. Update in acute respiratory distress syndrome and mechanical ventilation 2012. Am J Respir Crit Care Med 2013; 188:285-92. [PMID: 23905523 DOI: 10.1164/rccm.201304-0786up] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Dean R Hess
- Respiratory Care, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
| | | | | |
Collapse
|
50
|
Fox ED, Heffernan DS, Cioffi WG, Reichner JS. Neutrophils from critically ill septic patients mediate profound loss of endothelial barrier integrity. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2013; 17:R226. [PMID: 24099563 PMCID: PMC4057230 DOI: 10.1186/cc13049] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Accepted: 09/06/2013] [Indexed: 12/30/2022]
Abstract
Introduction Sepsis is characterized by systemic immune activation and neutrophil-mediated endothelial barrier integrity compromise, contributing to end-organ dysfunction. Studies evaluating endothelial barrier dysfunction induced by neutrophils from septic patients are lacking, despite its clinical significance. We hypothesized that septic neutrophils would cause characteristic patterns of endothelial barrier dysfunction, distinct from experimental stimulation of normal neutrophils, and that treatment with the immunomodulatory drug β-glucan would attenuate this effect. Methods Blood was obtained from critically ill septic patients. Patients were either general surgery patients (Primary Sepsis (PS)) or those with sepsis following trauma (Secondary Sepsis (SS)). Those with acute respiratory distress syndrome (ARDS) were identified. Healthy volunteers served as controls. Neutrophils were purified and aliquots were untreated, or treated with fMLP or β-glucan. Endothelial cells were grown to confluence and activated with tissue necrosis factor (TNF)-α . Electric Cell-substrate Impedance Sensing (ECIS) was used to determine monolayer resistance after neutrophils were added. Groups were analyzed by two-way analysis of variance (ANOVA). Results Neutrophils from all septic patients, as well as fMLP-normal neutrophils, reduced endothelial barrier integrity to a greater extent than untreated normal neutrophils (normalized resistance of cells from septic patients at 30 mins = 0.90 ± 0.04; at 60 mins = 0.73 ± 0.6 and at 180 mins = 0.56 ± 0.05; p < 0.05 vs normal). Compared to untreated PS neutrophils, fMLP-treated PS neutrophils caused further loss of barrier function at all time points; no additive effect was noted in stimulation of SS neutrophils beyond 30 min. Neutrophils from ARDS patients caused greater loss of barrier integrity than those from non-ARDS patients, despite similarities in age, sex, septic source, and neutrophil count. Neutrophils obtained after resolution of sepsis caused less barrier dysfunction at all time points. β-glucan treatment of septic patients’ neutrophils attenuated barrier compromise, rendering the effect similar to that induced by neutrophils obtained once sepsis had resolved. Conclusions Neutrophils from septic patients exert dramatic compromise of endothelial barrier integrity. This pattern is mimicked by experimental activation of healthy neutrophils. The effect of septic neutrophils on the endothelium depends upon the initial inflammatory event, correlates with organ dysfunction and resolution of sepsis, and is ameliorated by β-glucan.
Collapse
|